From c1c00d8020e396b78092424c4fd42c80342a9669 Mon Sep 17 00:00:00 2001 From: Ruzekowicz Date: Tue, 29 Aug 2023 10:52:18 -0600 Subject: [PATCH 01/46] Changes to use the TAP API as an alternative option to WTK --- .../technologies/resource/wind_resource.py | 27 +++++++++++-------- .../technologies/sites/site_info.py | 3 ++- 2 files changed, 18 insertions(+), 12 deletions(-) diff --git a/hopp/simulation/technologies/resource/wind_resource.py b/hopp/simulation/technologies/resource/wind_resource.py index 163d1cd3b..cc65371eb 100644 --- a/hopp/simulation/technologies/resource/wind_resource.py +++ b/hopp/simulation/technologies/resource/wind_resource.py @@ -18,8 +18,7 @@ class WindResource(Resource): """ allowed_hub_height_meters = [10, 40, 60, 80, 100, 120, 140, 160, 200] - - def __init__(self, lat, lon, year, wind_turbine_hub_ht, path_resource="", filepath="", **kwargs): + def __init__(self, lat, lon, year, wind_turbine_hub_ht, path_resource="", filepath="", source="WTK", **kwargs): """ :param lat: float @@ -30,8 +29,8 @@ def __init__(self, lat, lon, year, wind_turbine_hub_ht, path_resource="", filepa :param filepath: file path of resource file to load :param kwargs: """ - super().__init__(lat, lon, year) - + super().__init__(lat, lon, year) + if os.path.isdir(path_resource): self.path_resource = path_resource @@ -48,13 +47,16 @@ def __init__(self, lat, lon, year, wind_turbine_hub_ht, path_resource="", filepa else: self.filename = filepath + self.source = source + self.check_download_dir() if not os.path.isfile(self.filename): + print("Will call download resource file") self.download_resource() - + self.format_data() - + def calculate_heights_to_download(self): """ Given the system hub height, and the available hubheights from WindToolkit, @@ -94,13 +96,15 @@ def update_height(self, hub_height_meters): self.calculate_heights_to_download() def download_resource(self): - success = os.path.isfile(self.filename) + success = False if not success: - for height, f in self.file_resource_heights.items(): - url = 'https://developer.nrel.gov/api/wind-toolkit/v2/wind/wtk-srw-download?year={year}&lat={lat}&lon={lon}&hubheight={hubheight}&api_key={api_key}&email={email}'.format( + if self.source == "WTK": + url = 'https://developer.nrel.gov/api/wind-toolkit/v2/wind/wtk-srw-download?year={year}&lat={lat}&lon={lon}&hubheight={hubheight}&api_key={api_key}&email={email}'.format( year=self.year, lat=self.latitude, lon=self.longitude, hubheight=height, api_key=get_developer_nrel_gov_key(), email=self.email) - + elif self.source == "TAP": + url = 'https://dw-tap.nrel.gov/v2/srw?height={hubheight}m&lat={lat}&lon={lon}&year={year}'.format(year=self.year, lat=self.latitude, lon=self.longitude, hubheight=height) + success = self.call_api(url, filename=f) if not success: @@ -112,7 +116,7 @@ def download_resource(self): if not success: raise ValueError('Could not combine wind resource files successfully') - + print(success) return success def combine_wind_files(self): @@ -155,6 +159,7 @@ def format_data(self): raise FileNotFoundError(f"{self.filename} does not exist. Try `download_resource` first.") self.data = self.filename + #print(self.data) @Resource.data.setter def data(self, data_file): diff --git a/hopp/simulation/technologies/sites/site_info.py b/hopp/simulation/technologies/sites/site_info.py index 776545fd1..8644f9db2 100644 --- a/hopp/simulation/technologies/sites/site_info.py +++ b/hopp/simulation/technologies/sites/site_info.py @@ -63,6 +63,7 @@ class SiteInfo(BaseClass): desired_schedule: NDArrayFloat = field(default=[], converter=converter()) solar: bool = field(default=True) wind: bool = field(default=True) + wind_resource_origin: str = field(default="WTK") # Set in post init hook n_timesteps: int = field(init=False, default=None) @@ -128,7 +129,7 @@ def __attrs_post_init__(self): if self.wind: # TODO: allow hub height to be used as an optimization variable self.wind_resource = WindResource(data['lat'], data['lon'], data['year'], wind_turbine_hub_ht=self.hub_height, - filepath=self.wind_resource_file) + filepath=self.wind_resource_file, source=self.wind_resource_origin) n_timesteps = len(self.wind_resource.data['data']) // 8760 * 8760 if self.n_timesteps is None: self.n_timesteps = n_timesteps From d1ad23a86c573b5c909483d4dfc1be32ed336535 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Tue, 29 Aug 2023 16:04:03 -0700 Subject: [PATCH 02/46] Refactor PVPlant --- .../technologies/layout/hybrid_layout.py | 2 +- hopp/simulation/technologies/pv_source.py | 103 ++++++++++-------- hopp/simulation/technologies/reopt.py | 13 ++- tests/hopp/test_hybrid.py | 2 +- tests/hopp/test_layout.py | 4 +- tests/hopp/test_pv_source.py | 68 ++++++++++++ 6 files changed, 140 insertions(+), 52 deletions(-) create mode 100644 tests/hopp/test_pv_source.py diff --git a/hopp/simulation/technologies/layout/hybrid_layout.py b/hopp/simulation/technologies/layout/hybrid_layout.py index d42b7af68..0b1cde5a8 100644 --- a/hopp/simulation/technologies/layout/hybrid_layout.py +++ b/hopp/simulation/technologies/layout/hybrid_layout.py @@ -21,7 +21,7 @@ def __init__(self, if source == 'wind': self.wind = model._layout if source == 'pv': - self.pv = model._layout + self.pv = model.layout self.is_hybrid = self.wind and self.pv self._flicker_data = None diff --git a/hopp/simulation/technologies/pv_source.py b/hopp/simulation/technologies/pv_source.py index 474c2ae32..b171cd4bf 100644 --- a/hopp/simulation/technologies/pv_source.py +++ b/hopp/simulation/technologies/pv_source.py @@ -1,66 +1,81 @@ -from typing import Union, Optional, Sequence +from typing import Union, Sequence, Optional -import PySAM.Pvsamv1 as Pvsam +from attrs import define, field import PySAM.Pvwattsv8 as Pvwatts import PySAM.Singleowner as Singleowner -from hopp.simulation.technologies.power_source import * +from hopp.simulation.technologies.sites import SiteInfo +from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.layout.pv_layout import PVLayout, PVGridParameters -from hopp.simulation.technologies.dispatch.power_sources.pv_dispatch import PvDispatch +from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel +FIN_MODEL_TYPES = Union[Singleowner.Singleowner, CustomFinancialModel] +@define +class PVConfig: + """ + Configuration class for PVPlant. + + Args: + system_capacity_kw (float): Design system capacity. + layout_params (Optional[PVGridParameters]): Optional layout parameters. + layout_model (Optional[PVLayout]): Optional layout model instance. + fin_model (Optional[FIN_MODEL_TYPES]): Optional financial model instance. + """ + system_capacity_kw: float + layout_params: Optional[PVGridParameters] = field(default=None) + layout_model: Optional[PVLayout] = field(default=None) + fin_model: Optional[FIN_MODEL_TYPES] = field(default=None) + + +@define class PVPlant(PowerSource): - _system_model: Union[Pvsam.Pvsamv1, Pvwatts.Pvwattsv8] - _financial_model: Singleowner.Singleowner - _layout: PVLayout - _dispatch: PvDispatch - - def __init__(self, - site: SiteInfo, - pv_config: dict): - """ + """ + Represents a PV Plant. - :param pv_config: dict, with following keys: - 'system_capacity_kw': float, design system capacity - 'layout_params': dict, optional layout parameters of the SolarGridParameters type for PVLayout - 'layout_model': optional layout model object to use instead of the PVLayout model - """ - if 'system_capacity_kw' not in pv_config.keys(): - raise ValueError + Args: + site (SiteInfo): The site information. + config (dict): Configuration dictionary representing a PVConfig. + """ - self.config_name = "PVWattsSingleOwner" - system_model = Pvwatts.default(self.config_name) + site: SiteInfo + config: dict - if 'fin_model' in pv_config.keys(): - financial_model = self.import_financial_model(pv_config['fin_model'], system_model, self.config_name) + pv_config: PVConfig = field(init=False) + system_model: Pvwatts.Pvwattsv8 = field(init=False) + financial_model: FIN_MODEL_TYPES = field(init=False) + config_name: str = field(init=False, default="PVWattsSingleOwner") + + def __attrs_post_init__(self): + self.pv_config = PVConfig(**self.config) + + self.system_model = Pvwatts.default(self.config_name) + + if self.pv_config.fin_model is not None: + self.financial_model = self.import_financial_model(self.pv_config.fin_model, self.system_model, self.config_name) else: - financial_model = Singleowner.from_existing(system_model, self.config_name) + self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) - super().__init__("SolarPlant", site, system_model, financial_model) + super().__init__("SolarPlant", self.site, self.system_model, self.financial_model) - self._system_model.SolarResource.solar_resource_data = self.site.solar_resource.data + if self.site.solar_resource is not None: + self.system_model.SolarResource.solar_resource_data = self.site.solar_resource.data self.dc_degradation = [0] - if 'layout_model' in pv_config.keys(): - self._layout = pv_config['layout_model'] - self._layout._system_model = self._system_model + if self.pv_config.layout_model is not None: + self.layout = self.pv_config.layout_model + self.layout._system_model = self.system_model else: - if 'layout_params' in pv_config.keys(): - params: PVGridParameters = pv_config['layout_params'] - else: - params = None - self._layout = PVLayout(site, system_model, params) - - self._dispatch: PvDispatch = None + self.layout = PVLayout(self.site, self.system_model, self.pv_config.layout_params) - self.system_capacity_kw: float = pv_config['system_capacity_kw'] + self.system_capacity_kw = self.pv_config.system_capacity_kw @property def system_capacity_kw(self) -> float: # TODO: This is currently DC power; however, all other systems are rated by AC power # return self._system_model.SystemDesign.system_capacity / self._system_model.SystemDesign.dc_ac_ratio - return self._system_model.SystemDesign.system_capacity + return self.system_model.SystemDesign.system_capacity @system_capacity_kw.setter def system_capacity_kw(self, size_kw: float): @@ -69,15 +84,15 @@ def system_capacity_kw(self, size_kw: float): :param size_kw: :return: """ - self._system_model.SystemDesign.system_capacity = size_kw - self._financial_model.value('system_capacity', size_kw) # needed for custom financial models - self._layout.set_system_capacity(size_kw) + self.system_model.SystemDesign.system_capacity = size_kw + self.financial_model.value('system_capacity', size_kw) # needed for custom financial models + self.layout.set_system_capacity(size_kw) @property def dc_degradation(self) -> float: """Annual DC degradation for lifetime simulations [%/year]""" - return self._system_model.Lifetime.dc_degradation + return self.system_model.Lifetime.dc_degradation @dc_degradation.setter def dc_degradation(self, dc_deg_per_year: Sequence): - self._system_model.Lifetime.dc_degradation = dc_deg_per_year \ No newline at end of file + self.system_model.Lifetime.dc_degradation = dc_deg_per_year \ No newline at end of file diff --git a/hopp/simulation/technologies/reopt.py b/hopp/simulation/technologies/reopt.py index ee9c96fa6..44a6dd098 100644 --- a/hopp/simulation/technologies/reopt.py +++ b/hopp/simulation/technologies/reopt.py @@ -1,12 +1,15 @@ -import json import os -import pandas as pd -import requests import time +import PySAM.Singleowner as Singleowner +import PySAM.Pvsamv1 as Pvsam +import json +import requests +import pandas as pd + from typing import Sequence -from hopp.simulation.technologies.pv_source import * +from hopp.simulation.technologies.pv_source import PVPlant from hopp.simulation.technologies.wind_source import WindPlant from hopp.simulation.technologies.battery import Battery from hopp.utilities.log import hybrid_logger as logger @@ -35,7 +38,7 @@ def __init__(self, lat, lon, solar_model: PVPlant = None, wind_model: WindPlant = None, storage_model: Battery = None, - fin_model: Singleowner = None, + fin_model: Singleowner.Singleowner = None, off_grid=False, fileout=None): """ diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index 029e14fdf..e8ff66c9d 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -465,7 +465,7 @@ def test_custom_layout(site): npv_expected = -2641250 solar_only = { 'pv': { - 'use_pvwatts': True, + # 'use_pvwatts': True, 'system_capacity_kw': 5000, 'layout_model': detailed_layout, }, diff --git a/tests/hopp/test_layout.py b/tests/hopp/test_layout.py index 18c8b3fe2..53969a7b9 100644 --- a/tests/hopp/test_layout.py +++ b/tests/hopp/test_layout.py @@ -89,7 +89,7 @@ def test_wind_layout(site): def test_solar_layout(site): solar_model = PVPlant(site, technology['pv']) - solar_region, buffer_region = solar_model._layout.solar_region.bounds, solar_model._layout.buffer_region.bounds + solar_region, buffer_region = solar_model.layout.solar_region.bounds, solar_model.layout.buffer_region.bounds expected_solar_region = (358.026, 451.623, 539.019, 632.617) expected_buffer_region = (248.026, 341.623, 649.019, 632.617) @@ -106,6 +106,8 @@ def test_hybrid_layout(site): } layout = HybridLayout(site, power_sources) + assert layout.wind is not None + assert layout.pv is not None xcoords, ycoords = layout.wind.turb_pos_x, layout.wind.turb_pos_y buffer_region = layout.pv.buffer_region diff --git a/tests/hopp/test_pv_source.py b/tests/hopp/test_pv_source.py new file mode 100644 index 000000000..d46c641e1 --- /dev/null +++ b/tests/hopp/test_pv_source.py @@ -0,0 +1,68 @@ +from pytest import fixture +import pytest + +from numpy.testing import assert_array_equal +import PySAM.Pvwattsv8 as Pvwatts +import PySAM.Singleowner as Singleowner + +from hopp import ROOT_DIR +from hopp.simulation.technologies.sites import SiteInfo, flatirons_site +from hopp.simulation.technologies.pv_source import PVConfig, PVPlant +from hopp.simulation.technologies.layout.pv_layout import PVLayout + +solar_resource_file = ROOT_DIR.parent / "resource_files" / "solar" / "35.2018863_-101.945027_psmv3_60_2012.csv" + + +@fixture +def site(): + return SiteInfo(flatirons_site, solar_resource_file=solar_resource_file, wind=False) + + +@fixture +def sample_pv_config(): + return PVConfig(system_capacity_kw=100.0) + + +def test_pv_config_initialization(): + pv_config = PVConfig(system_capacity_kw=100.0) + assert pv_config.system_capacity_kw == 100.0 + assert pv_config.layout_params is None + assert pv_config.layout_model is None + assert pv_config.fin_model is None + + +def test_pv_plant_init(site): + pv_plant = PVPlant(site=site, config={'system_capacity_kw': 100.0}) + assert isinstance(pv_plant.pv_config, PVConfig) + assert isinstance(pv_plant.system_model, Pvwatts.Pvwattsv8) + assert isinstance(pv_plant.financial_model, Singleowner.Singleowner) + assert isinstance(pv_plant.layout, PVLayout) + assert pv_plant.config_name == "PVWattsSingleOwner" + + +def test_pv_plant_bad_config(site, subtests): + with subtests.test("No system capacity"): + with pytest.raises(TypeError): + PVPlant(site=site, config={}) + + +def test_pv_plant_system_capacity(site, subtests): + pv_plant = PVPlant(site=site, config={'system_capacity_kw': 100.0}) + + with subtests.test("getter"): + assert pv_plant.system_capacity_kw == 100.0 + + with subtests.test("setter"): + pv_plant.system_capacity_kw = 200.0 + assert pv_plant.system_capacity_kw == 200.0 + + +def test_pv_plant_dc_degradation(site, subtests): + pv_plant = PVPlant(site=site, config={'system_capacity_kw': 100.0}) + + with subtests.test("getter"): + assert_array_equal(pv_plant.dc_degradation, [0]) + + with subtests.test("setter"): + pv_plant.dc_degradation = [1] + assert_array_equal(pv_plant.dc_degradation, [1]) From 8774540172b01f369d16413beafff37e7b79f18f Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Fri, 8 Sep 2023 13:49:27 -0700 Subject: [PATCH 03/46] Refactor DetailedPVPlant --- docs/conf.py | 3 + .../technologies/detailed_pv_plant.py | 203 ++++++++++-------- .../dispatch/power_sources/pv_dispatch.py | 8 +- .../technologies/financial/__init__.py | 7 + hopp/simulation/technologies/power_source.py | 3 +- hopp/simulation/technologies/pv_source.py | 34 +-- tests/hopp/test_custom_financial.py | 6 +- tests/hopp/test_dispatch.py | 8 +- tests/hopp/test_hybrid.py | 24 +-- tests/hopp/test_layout.py | 14 +- 10 files changed, 168 insertions(+), 142 deletions(-) diff --git a/docs/conf.py b/docs/conf.py index 315cc5a75..f33a32d6c 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -38,6 +38,9 @@ # autodoc_member_order = 'groupwise' +napoleon_google_docstring = True +napoleon_attr_annotations = True + autodoc_default_options = { 'member-order': 'bysource', 'special-members': '__init__', diff --git a/hopp/simulation/technologies/detailed_pv_plant.py b/hopp/simulation/technologies/detailed_pv_plant.py index 79a38ffb2..f4a6e527a 100644 --- a/hopp/simulation/technologies/detailed_pv_plant.py +++ b/hopp/simulation/technologies/detailed_pv_plant.py @@ -1,72 +1,84 @@ -from typing import Union, Sequence, Any +from typing import Sequence, Optional + +from attrs import define, field import PySAM.Pvsamv1 as Pvsam import PySAM.Singleowner as Singleowner +from hopp.simulation.technologies.pv_source import PVConfig +from hopp.simulation.technologies.financial import FinancialModelType from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.power_source import PowerSource -from hopp.simulation.technologies.layout.pv_design_utils import * -from hopp.simulation.technologies.layout.pv_layout import PVLayout, PVGridParameters -from hopp.simulation.technologies.dispatch.power_sources.pv_dispatch import PvDispatch -from hopp.simulation.technologies.layout.pv_module import get_module_attribs, set_module_attribs -from hopp.simulation.technologies.layout.pv_inverter import set_inverter_attribs +from hopp.simulation.technologies.layout.pv_layout import PVLayout +from hopp.simulation.technologies.dispatch.power_sources import PvDispatch +from hopp.simulation.technologies.layout.pv_design_utils import ( + align_from_capacity, get_inverter_power, verify_capacity_from_electrical_parameters +) +from hopp.simulation.technologies.layout.pv_module import ( + get_module_attribs, set_module_attribs +) +from hopp.simulation.technologies.layout.pv_inverter import ( + set_inverter_attribs, get_inverter_attribs +) from hopp.tools.utils import flatten_dict +@define +class DetailedPVConfig(PVConfig): + system_capacity_kw: Optional[float] = field(default=None) + tech_config: Optional[dict] = field(default=None) + + +@define class DetailedPVPlant(PowerSource): - _system_model: Pvsam.Pvsamv1 - _financial_model: Union[Any, Singleowner.Singleowner] - _layout: Union[Any, PVLayout] - _dispatch: PvDispatch - - def __init__(self, - site: SiteInfo, - pv_config: dict): - """ + site: SiteInfo + config: dict - :param pv_config: dict, with following keys: - 'tech_config': dict, contains parameters for pvsamv1 technology model - 'fin_model': optional financial model object to use instead of singleowner model - 'layout_model': optional layout model object to use instead of the PVLayout model - 'layout_params': optional DetailedPVParameters, the design vector w/ values. Required for layout modeling - """ - self.config_name = "FlatPlatePVSingleOwner" - system_model = Pvsam.default(self.config_name) + pv_config: DetailedPVConfig = field(init=False) + system_model: Pvsam.Pvsamv1 = field(init=False) + financial_model: FinancialModelType = field(init=False) + config_name: str = field(init=False, default="FlatPlatePVSingleOwner") + + def __attrs_post_init__(self): + self.pv_config = DetailedPVConfig.from_dict(self.config) - if 'fin_model' in pv_config.keys(): - financial_model = self.import_financial_model(pv_config['fin_model'], system_model, self.config_name) + self.system_model = Pvsam.default(self.config_name) + + if self.pv_config.fin_model is not None: + self.financial_model = self.import_financial_model(self.pv_config.fin_model, self.system_model, self.config_name) else: - financial_model = Singleowner.from_existing(system_model, self.config_name) + self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) - super().__init__("PVPlant", site, system_model, financial_model) + super().__init__("PVPlant", self.site, self.system_model, self.financial_model) - self._system_model.SolarResource.solar_resource_data = self.site.solar_resource.data + if self.site.solar_resource is not None: + self.system_model.SolarResource.solar_resource_data = self.site.solar_resource.data self.dc_degradation = [0] - if 'layout_model' in pv_config.keys(): - self._layout = pv_config['layout_model'] - self._layout._system_model = self._system_model + if self.pv_config.layout_model is not None: + self.layout = self.pv_config.layout_model + self.layout._system_model = self.system_model else: - if 'layout_params' in pv_config.keys(): - params: PVGridParameters = pv_config['layout_params'] - else: - params = None - self._layout = PVLayout(site, system_model, params) + self.layout = PVLayout( + self.site, + self.system_model, + self.pv_config.layout_params + ) - self._dispatch: PvDispatch = None - self.processed_assign(pv_config) + self.processed_assign() - def processed_assign(self, params): + def processed_assign(self): """ Assign attributes from dictionaries with additional processing to enforce coherence between attributes """ - if 'system_capacity_kw' in params.keys(): # aggregate into tech_config - if 'tech_config' not in params.keys(): - params['tech_config'] = {} - params['tech_config']['system_capacity'] = params['system_capacity_kw'] - if 'tech_config' in params.keys(): - config = params['tech_config'] + if self.pv_config.system_capacity_kw is not None: # aggregate into tech_config + if self.pv_config.tech_config is None: + self.pv_config.tech_config = {} + self.pv_config.tech_config['system_capacity'] = self.pv_config.system_capacity_kw + + if self.pv_config.tech_config is not None: + config = self.pv_config.tech_config if 'subarray2_enable' in config.keys() and config['subarray2_enable'] == 1 \ or 'subarray3_enable' in config.keys() and config['subarray3_enable'] == 1 \ @@ -142,37 +154,38 @@ def processed_assign(self, params): # Set all parameters self.assign(config) - self._layout.set_layout_params(self.system_capacity, self._layout.parameters) + if self.layout.parameters is not None: + self.layout.set_layout_params(self.system_capacity, self.layout.parameters) def get_pv_module(self, only_ref_vals=True) -> dict: """ Returns the PV module attributes for either the PVsamv1 or PVWattsv8 models :param only_ref_vals: ``bool``, optional, returns only the reference values (e.g., I_sc_ref) if True or model params if False """ - return get_module_attribs(self._system_model, only_ref_vals) + return get_module_attribs(self.system_model, only_ref_vals) def set_pv_module(self, params: dict): """ Sets the PV module model parameters for either the PVsamv1 or PVWattsv8 models. :param params: dictionary of parameters """ - set_module_attribs(self._system_model, params) + set_module_attribs(self.system_model, params) # update system capacity directly to not recalculate the number of inverters, consistent with the SAM UI - self._system_model.value('system_capacity', self.module_power * self.modules_per_string * self.n_strings) + self.system_model.value('system_capacity', self.module_power * self.modules_per_string * self.n_strings) def get_inverter(self, only_ref_vals=True) -> dict: """ Returns the inverter attributes for either the PVsamv1 or PVWattsv8 models :param only_ref_vals: ``bool``, optional, returns only the reference values (e.g., V_dc_max) if True or model params if False """ - return get_inverter_attribs(self._system_model, only_ref_vals) + return get_inverter_attribs(self.system_model, only_ref_vals) def set_inverter(self, params: dict): """ Sets the inverter model parameters for either the PVsamv1 or PVWattsv8 models. :param params: dictionary of parameters """ - set_inverter_attribs(self._system_model, params) + set_inverter_attribs(self.system_model, params) @property def system_capacity(self) -> float: @@ -186,7 +199,7 @@ def system_capacity(self, size_kw: float): @property def system_capacity_kw(self) -> float: - return self._system_model.value('system_capacity') # [kW] DC + return self.system_model.value('system_capacity') # [kW] DC @system_capacity_kw.setter def system_capacity_kw(self, system_capacity_kw_: float): @@ -202,24 +215,24 @@ def system_capacity_kw(self, system_capacity_kw_: float): module_power=self.module_power, inverter_power=self.inverter_power, ) - self._system_model.value('system_capacity', system_capacity) - self._system_model.value('subarray1_nstrings', n_strings) - self._system_model.value('subarray2_nstrings', 0) - self._system_model.value('subarray3_nstrings', 0) - self._system_model.value('subarray4_nstrings', 0) - self._system_model.value('subarray2_enable', 0) - self._system_model.value('subarray3_enable', 0) - self._system_model.value('subarray4_enable', 0) - self._system_model.value('inverter_count', n_inverters) + self.system_model.value('system_capacity', system_capacity) + self.system_model.value('subarray1_nstrings', n_strings) + self.system_model.value('subarray2_nstrings', 0) + self.system_model.value('subarray3_nstrings', 0) + self.system_model.value('subarray4_nstrings', 0) + self.system_model.value('subarray2_enable', 0) + self.system_model.value('subarray3_enable', 0) + self.system_model.value('subarray4_enable', 0) + self.system_model.value('inverter_count', n_inverters) @property def dc_degradation(self) -> float: """Annual DC degradation for lifetime simulations [%/year]""" - return self._system_model.Lifetime.dc_degradation + return self.system_model.Lifetime.dc_degradation @dc_degradation.setter def dc_degradation(self, dc_deg_per_year: Sequence): - self._system_model.Lifetime.dc_degradation = dc_deg_per_year + self.system_model.Lifetime.dc_degradation = dc_deg_per_year @property def dc_ac_ratio(self) -> float: @@ -237,32 +250,32 @@ def dc_ac_ratio(self, target_dc_ac_ratio: float): module_power=self.module_power, inverter_power=self.inverter_power, ) - self._system_model.value('system_capacity', system_capacity) - self._system_model.value('subarray1_nstrings', n_strings) - self._system_model.value('subarray2_nstrings', 0) - self._system_model.value('subarray3_nstrings', 0) - self._system_model.value('subarray4_nstrings', 0) - self._system_model.value('subarray2_enable', 0) - self._system_model.value('subarray3_enable', 0) - self._system_model.value('subarray4_enable', 0) - self._system_model.value('inverter_count', n_inverters) + self.system_model.value('system_capacity', system_capacity) + self.system_model.value('subarray1_nstrings', n_strings) + self.system_model.value('subarray2_nstrings', 0) + self.system_model.value('subarray3_nstrings', 0) + self.system_model.value('subarray4_nstrings', 0) + self.system_model.value('subarray2_enable', 0) + self.system_model.value('subarray3_enable', 0) + self.system_model.value('subarray4_enable', 0) + self.system_model.value('inverter_count', n_inverters) @property def module_power(self) -> float: """Module power in kW""" - module_attribs = get_module_attribs(self._system_model) + module_attribs = get_module_attribs(self.system_model) return module_attribs['P_mp_ref'] @property def module_width(self) -> float: """Module width in meters""" - module_attribs = get_module_attribs(self._system_model) + module_attribs = get_module_attribs(self.system_model) return module_attribs['width'] @property def module_length(self) -> float: """Module length in meters""" - module_attribs = get_module_attribs(self._system_model) + module_attribs = get_module_attribs(self.system_model) return module_attribs['length'] @property @@ -273,27 +286,27 @@ def module_height(self) -> float: @property def inverter_power(self) -> float: """Inverter power in kW""" - return get_inverter_power(self._system_model) + return get_inverter_power(self.system_model) @property def modules_per_string(self) -> float: """Modules per string""" - return self._system_model.SystemDesign.subarray1_modules_per_string + return self.system_model.SystemDesign.subarray1_modules_per_string @modules_per_string.setter def modules_per_string(self, _modules_per_string: float): """Sets the modules per string and updates the system capacity""" - self._system_model.SystemDesign.subarray1_modules_per_string = _modules_per_string - self._system_model.SystemDesign.subarray2_modules_per_string = 0 - self._system_model.SystemDesign.subarray3_modules_per_string = 0 - self._system_model.SystemDesign.subarray4_modules_per_string = 0 + self.system_model.SystemDesign.subarray1_modules_per_string = _modules_per_string + self.system_model.SystemDesign.subarray2_modules_per_string = 0 + self.system_model.SystemDesign.subarray3_modules_per_string = 0 + self.system_model.SystemDesign.subarray4_modules_per_string = 0 # update system capacity directly to not recalculate the number of inverters, consistent with the SAM UI - self._system_model.value('system_capacity', self.module_power * _modules_per_string * self.n_strings) + self.system_model.value('system_capacity', self.module_power * _modules_per_string * self.n_strings) @property def subarray1_modules_per_string(self) -> float: """Number of modules per string in subarray 1""" - return self._system_model.value('subarray1_modules_per_string') + return self.system_model.value('subarray1_modules_per_string') @subarray1_modules_per_string.setter def subarray1_modules_per_string(self, subarray1_modules_per_string_: float): @@ -303,25 +316,25 @@ def subarray1_modules_per_string(self, subarray1_modules_per_string_: float): @property def n_strings(self) -> float: """Total number of strings""" - return self._system_model.SystemDesign.subarray1_nstrings \ - + self._system_model.SystemDesign.subarray2_nstrings \ - + self._system_model.SystemDesign.subarray3_nstrings \ - + self._system_model.SystemDesign.subarray4_nstrings + return self.system_model.SystemDesign.subarray1_nstrings \ + + self.system_model.SystemDesign.subarray2_nstrings \ + + self.system_model.SystemDesign.subarray3_nstrings \ + + self.system_model.SystemDesign.subarray4_nstrings @n_strings.setter def n_strings(self, _n_strings: float): """Sets the total number of strings and updates the system capacity""" - self._system_model.SystemDesign.subarray1_nstrings = _n_strings - self._system_model.SystemDesign.subarray2_nstrings = 0 - self._system_model.SystemDesign.subarray3_nstrings = 0 - self._system_model.SystemDesign.subarray4_nstrings = 0 + self.system_model.SystemDesign.subarray1_nstrings = _n_strings + self.system_model.SystemDesign.subarray2_nstrings = 0 + self.system_model.SystemDesign.subarray3_nstrings = 0 + self.system_model.SystemDesign.subarray4_nstrings = 0 # update system capacity directly to not recalculate the number of inverters, consistent with the SAM UI - self._system_model.value('system_capacity', self.module_power * self.modules_per_string * _n_strings) + self.system_model.value('system_capacity', self.module_power * self.modules_per_string * _n_strings) @property def subarray1_nstrings(self) -> float: """Number of strings in subarray 1""" - return self._system_model.value('subarray1_nstrings') + return self.system_model.value('subarray1_nstrings') @subarray1_nstrings.setter def subarray1_nstrings(self, subarray1_nstrings_: float): @@ -331,9 +344,9 @@ def subarray1_nstrings(self, subarray1_nstrings_: float): @property def n_inverters(self) -> float: """Total number of inverters""" - return self._system_model.SystemDesign.inverter_count + return self.system_model.SystemDesign.inverter_count @n_inverters.setter def n_inverters(self, _n_inverters: float): """Sets the total number of inverters""" - self._system_model.SystemDesign.inverter_count = _n_inverters + self.system_model.SystemDesign.inverter_count = _n_inverters diff --git a/hopp/simulation/technologies/dispatch/power_sources/pv_dispatch.py b/hopp/simulation/technologies/dispatch/power_sources/pv_dispatch.py index 09c89f92a..5e3b737ed 100644 --- a/hopp/simulation/technologies/dispatch/power_sources/pv_dispatch.py +++ b/hopp/simulation/technologies/dispatch/power_sources/pv_dispatch.py @@ -3,14 +3,14 @@ import PySAM.Pvsamv1 as Pvsam import PySAM.Pvwattsv8 as Pvwatts -import PySAM.Singleowner as Singleowner -from hopp.simulation.technologies.dispatch.power_sources.power_source_dispatch import PowerSourceDispatch +from hopp.simulation.technologies.financial import FinancialModelType +from hopp.simulation.technologies.dispatch.power_sources import PowerSourceDispatch class PvDispatch(PowerSourceDispatch): _system_model: Union[Pvsam.Pvsamv1, Pvwatts.Pvwattsv8] - _financial_model: Singleowner.Singleowner + _financial_model: FinancialModelType """ """ @@ -18,7 +18,7 @@ def __init__(self, pyomo_model: ConcreteModel, indexed_set: Set, system_model: Union[Pvsam.Pvsamv1, Pvwatts.Pvwattsv8], - financial_model: Singleowner.Singleowner, + financial_model: FinancialModelType, block_set_name: str = 'pv'): super().__init__(pyomo_model, indexed_set, system_model, financial_model, block_set_name=block_set_name) diff --git a/hopp/simulation/technologies/financial/__init__.py b/hopp/simulation/technologies/financial/__init__.py index e69de29bb..1f004d740 100644 --- a/hopp/simulation/technologies/financial/__init__.py +++ b/hopp/simulation/technologies/financial/__init__.py @@ -0,0 +1,7 @@ +from typing import Union + +import PySAM.Singleowner as Singleowner + +from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel + +FinancialModelType = Union[Singleowner.Singleowner, CustomFinancialModel] diff --git a/hopp/simulation/technologies/power_source.py b/hopp/simulation/technologies/power_source.py index a8530fc0e..20b3fd96d 100644 --- a/hopp/simulation/technologies/power_source.py +++ b/hopp/simulation/technologies/power_source.py @@ -9,9 +9,10 @@ from hopp.simulation.technologies.dispatch.power_sources.power_source_dispatch import PowerSourceDispatch from hopp.tools.utils import array_not_scalar, equal from hopp.utilities.log import hybrid_logger as logger +from hopp.simulation.base import BaseClass -class PowerSource: +class PowerSource(BaseClass): """ Abstract class for a renewable energy power plant simulation. diff --git a/hopp/simulation/technologies/pv_source.py b/hopp/simulation/technologies/pv_source.py index b171cd4bf..3814740c6 100644 --- a/hopp/simulation/technologies/pv_source.py +++ b/hopp/simulation/technologies/pv_source.py @@ -1,31 +1,35 @@ -from typing import Union, Sequence, Optional +from typing import Sequence, Optional from attrs import define, field import PySAM.Pvwattsv8 as Pvwatts import PySAM.Singleowner as Singleowner +from hopp.simulation.technologies.financial import FinancialModelType from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.layout.pv_layout import PVLayout, PVGridParameters -from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel +from hopp.simulation.technologies.dispatch.power_sources import PvDispatch +from hopp.simulation.base import BaseClass -FIN_MODEL_TYPES = Union[Singleowner.Singleowner, CustomFinancialModel] @define -class PVConfig: +class PVConfig(BaseClass): """ Configuration class for PVPlant. Args: - system_capacity_kw (float): Design system capacity. - layout_params (Optional[PVGridParameters]): Optional layout parameters. - layout_model (Optional[PVLayout]): Optional layout model instance. - fin_model (Optional[FIN_MODEL_TYPES]): Optional financial model instance. + system_capacity_kw: Design system capacity + use_pvwatts: Whether to use PVWatts (defaults to True). If False, this + config should be used in a `DetailedPVPlant`. + layout_params: Optional layout parameters + layout_model: Optional layout model instance + fin_model: Optional financial model instance """ system_capacity_kw: float + use_pvwatts: bool = field(default=True) layout_params: Optional[PVGridParameters] = field(default=None) layout_model: Optional[PVLayout] = field(default=None) - fin_model: Optional[FIN_MODEL_TYPES] = field(default=None) + fin_model: Optional[FinancialModelType] = field(default=None) @define @@ -34,8 +38,8 @@ class PVPlant(PowerSource): Represents a PV Plant. Args: - site (SiteInfo): The site information. - config (dict): Configuration dictionary representing a PVConfig. + site: The site information. + config: Configuration dictionary representing a PVConfig. """ site: SiteInfo @@ -43,11 +47,11 @@ class PVPlant(PowerSource): pv_config: PVConfig = field(init=False) system_model: Pvwatts.Pvwattsv8 = field(init=False) - financial_model: FIN_MODEL_TYPES = field(init=False) + financial_model: FinancialModelType = field(init=False) config_name: str = field(init=False, default="PVWattsSingleOwner") def __attrs_post_init__(self): - self.pv_config = PVConfig(**self.config) + self.pv_config = PVConfig.from_dict(self.config) self.system_model = Pvwatts.default(self.config_name) @@ -69,6 +73,10 @@ def __attrs_post_init__(self): else: self.layout = PVLayout(self.site, self.system_model, self.pv_config.layout_params) + # TODO: it seems like an anti-pattern to be doing this in each power source, + # then assigning the relevant class using metaprogramming in + # HybridDispatchBuilderSolver._create_dispatch_optimization_model + self._dispatch = None self.system_capacity_kw = self.pv_config.system_capacity_kw @property diff --git a/tests/hopp/test_custom_financial.py b/tests/hopp/test_custom_financial.py index d9e232b7b..84c0d532f 100644 --- a/tests/hopp/test_custom_financial.py +++ b/tests/hopp/test_custom_financial.py @@ -74,7 +74,7 @@ def test_detailed_pv(site): detailed_pvplant = DetailedPVPlant( site=site, - pv_config={ + config={ 'tech_config': tech_config, 'layout_params': layout_params, 'fin_model': CustomFinancialModel(default_fin_config), @@ -219,7 +219,7 @@ def test_hybrid_detailed_pv_with_wind(site): detailed_pvplant = DetailedPVPlant( site=site, - pv_config={ + config={ 'tech_config': tech_config, 'layout_params': layout_params, 'fin_model': CustomFinancialModel(default_fin_config), @@ -366,7 +366,7 @@ def test_hybrid_detailed_pv_with_wind_storage_dispatch(site): detailed_pvplant = DetailedPVPlant( site=site, - pv_config={ + config={ 'tech_config': tech_config, 'layout_params': PVGridParameters(x_position=0.5, y_position=0.5, diff --git a/tests/hopp/test_dispatch.py b/tests/hopp/test_dispatch.py index dfcfe50e3..1a628b428 100644 --- a/tests/hopp/test_dispatch.py +++ b/tests/hopp/test_dispatch.py @@ -67,8 +67,8 @@ def test_solar_dispatch(site): solar._dispatch = PvDispatch(model, model.forecast_horizon, - solar._system_model, - solar._financial_model) + solar.system_model, + solar.financial_model) # Manually creating objective for testing model.price = pyomo.Param(model.forecast_horizon, @@ -87,11 +87,11 @@ def create_test_objective_rule(m): assert_units_consistent(model) - solar.dispatch.initialize_parameters() + solar._dispatch.initialize_parameters() solar.dc_degradation = [0.5] * 1 solar.simulate(1) - solar.dispatch.update_time_series_parameters(0) + solar._dispatch.update_time_series_parameters(0) results = HybridDispatchBuilderSolver.glpk_solve_call(model) # results = HybridDispatchBuilderSolver.cbc_solve_call(model) diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index e8ff66c9d..45f94aaea 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -1,21 +1,17 @@ from pathlib import Path from copy import deepcopy -from pydoc import apropos from pytest import approx, fixture, raises import numpy as np import json import PySAM.Singleowner as Singleowner -# from hopp.simulation.technologies.layout.hybrid_layout import WindBoundaryGridParameters, PVGridParameters from hopp.simulation.technologies.layout.wind_layout import WindBoundaryGridParameters from hopp.simulation.technologies.layout.pv_layout import PVGridParameters from hopp.simulation.hybrid_simulation import HybridSimulation from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant from examples.Detailed_PV_Layout.detailed_pv_layout import DetailedPVParameters, DetailedPVLayout from examples.Detailed_PV_Layout.detailed_pv_config import PVLayoutConfig -from hopp.simulation.technologies.sites.site_info import SiteInfo -from hopp.simulation.technologies.sites.flatirons_site import flatirons_site from hopp.simulation.technologies.grid import Grid from hopp.simulation.technologies.layout.pv_design_utils import size_electrical_parameters @@ -188,12 +184,12 @@ def test_hybrid_detailed_pv_only(site): # Run standalone detailed PV model (pvsamv1) using defaults annual_energy_expected = 11236852 solar_only = detailed_pv - pv_plant = DetailedPVPlant(site=site, pv_config=solar_only) + pv_plant = DetailedPVPlant(site=site, config=solar_only) assert pv_plant.system_capacity_kw == approx(pv_kw, 1e-2) pv_plant.simulate_power(1, False) assert pv_plant.system_capacity_kw == approx(pv_kw, 1e-2) - assert pv_plant._system_model.Outputs.annual_energy == approx(annual_energy_expected, 1e-2) - assert pv_plant._system_model.Outputs.capacity_factor == approx(25.66, 1e-2) + assert pv_plant.system_model.Outputs.annual_energy == approx(annual_energy_expected, 1e-2) + assert pv_plant.system_model.Outputs.capacity_factor == approx(25.66, 1e-2) # Run detailed PV model (pvsamv1) using defaults npv_expected = -2566581 @@ -241,7 +237,7 @@ def test_hybrid_detailed_pv_only(site): # Run user-instantiated or user-defined detailed PV model (pvsamv1) using parameters from file power_sources = { 'pv': { - 'pv_plant': DetailedPVPlant(site=site, pv_config=solar_only['pv']), + 'pv_plant': DetailedPVPlant(site=site, config=solar_only['pv']), }, 'grid': { 'interconnect_kw': 150e3 @@ -351,11 +347,8 @@ def test_hybrid_user_instantiated(site): # Run user-instantiated detailed PV plant, grid and respective financial models detailed_pvplant = DetailedPVPlant( site=site, - pv_config={ - 'tech_config': - { - 'system_capacity_kw': system_capacity_kw - }, + config={ + 'system_capacity_kw': system_capacity_kw, 'layout_params': layout_params, 'fin_model': Singleowner.default('FlatPlatePVSingleOwner'), } @@ -378,14 +371,15 @@ def test_hybrid_user_instantiated(site): } } hybrid_plant = HybridSimulation(power_sources, site) + assert hybrid_plant.pv is not None hybrid_plant.layout.plot() hybrid_plant.ppa_price = (0.01, ) hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.simulate() aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values - assert hybrid_plant.pv._system_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) - assert hybrid_plant.pv._financial_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) + assert hybrid_plant.pv.system_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) + assert hybrid_plant.pv.financial_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) assert aeps.pv == approx(annual_energy_expected, 1e-3) assert aeps.hybrid == approx(annual_energy_expected, 1e-3) assert npvs.pv == approx(npv_expected, 1e-3) diff --git a/tests/hopp/test_layout.py b/tests/hopp/test_layout.py index 53969a7b9..419e72551 100644 --- a/tests/hopp/test_layout.py +++ b/tests/hopp/test_layout.py @@ -277,7 +277,7 @@ def test_detailed_pv_properties(site): # Create a detailed PV plant with the pvsamv1_basic_params.json config file detailed_pvplant = DetailedPVPlant( site=site, - pv_config={ + config={ 'tech_config': tech_config, } ) @@ -324,7 +324,7 @@ def verify_defaults(): # Reinstantiate (reset) the detailed PV plant detailed_pvplant = DetailedPVPlant( site=site, - pv_config={ + config={ 'tech_config': tech_config, } ) @@ -346,7 +346,7 @@ def verify_defaults(): # Reinstantiate (reset) the detailed PV plant detailed_pvplant = DetailedPVPlant( site=site, - pv_config={ + config={ 'tech_config': tech_config, } ) @@ -368,7 +368,7 @@ def verify_defaults(): # Reinstantiate (reset) the detailed PV plant detailed_pvplant = DetailedPVPlant( site=site, - pv_config={ + config={ 'tech_config': tech_config, } ) @@ -420,7 +420,7 @@ def verify_defaults(): # Reinstantiate (reset) the detailed PV plant detailed_pvplant = DetailedPVPlant( site=site, - pv_config={ + config={ 'tech_config': tech_config, } ) @@ -491,7 +491,7 @@ def test_detailed_pv_plant_custom_design(site): # Create a detailed PV plant with the pvsamv1_basic_params.json config file detailed_pvplant = DetailedPVPlant( site=site, - pv_config={ + config={ 'tech_config': tech_config, } ) @@ -514,7 +514,7 @@ def test_detailed_pv_plant_modify_after_init(site): # Create a detailed PV plant with the pvsamv1_basic_params.json config file detailed_pvplant = DetailedPVPlant( site=site, - pv_config={ + config={ 'tech_config': tech_config, } ) From d8a96d70dfb0deac406ec9e68c192acba65e82f0 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Fri, 8 Sep 2023 14:44:50 -0700 Subject: [PATCH 04/46] Add pytest-subtests --- .github/workflows/ci.yml | 1 + requirements-dev.txt | 1 + 2 files changed, 2 insertions(+) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 6a7e76389..e15586f88 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -35,6 +35,7 @@ jobs: - name: Install test dependencies run: | pip install pytest + pip install pytest-subtests pip install responses - name: Run tests run: | diff --git a/requirements-dev.txt b/requirements-dev.txt index 039e1152f..365655c13 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -13,6 +13,7 @@ pint pvmismatch pysolar pytest +pytest-subtests python-dotenv pytz requests From bc4069b940abbbaf0b7d75043eea29853a342554 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Fri, 8 Sep 2023 15:27:05 -0700 Subject: [PATCH 05/46] Update documentation --- docs/conf.py | 6 +- .../technologies/detailed_pv_plant.rst | 17 +++ .../simulation/technologies/power_source.rst | 14 +-- .../simulation/technologies/pv_source.rst | 6 +- .../simulation/technologies/technologies.rst | 14 +++ docs/index.rst | 4 +- .../technologies/detailed_pv_plant.py | 108 +++++++++++++----- hopp/simulation/technologies/pv_source.py | 11 +- .../technologies/sites/site_info.py | 18 +-- 9 files changed, 137 insertions(+), 61 deletions(-) create mode 100644 docs/hopp/simulation/technologies/detailed_pv_plant.rst create mode 100644 docs/hopp/simulation/technologies/technologies.rst diff --git a/docs/conf.py b/docs/conf.py index f33a32d6c..7daf58abc 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -78,7 +78,7 @@ PREAMBLE = fh.read() fh.close() latex_elements = { -# Additional stuff for the LaTeX preamble. -'preamble': PREAMBLE, -'extraclassoptions': 'openany,oneside' + # Additional stuff for the LaTeX preamble. + 'preamble': PREAMBLE, + 'extraclassoptions': 'openany,oneside' } diff --git a/docs/hopp/simulation/technologies/detailed_pv_plant.rst b/docs/hopp/simulation/technologies/detailed_pv_plant.rst new file mode 100644 index 000000000..80241521e --- /dev/null +++ b/docs/hopp/simulation/technologies/detailed_pv_plant.rst @@ -0,0 +1,17 @@ +.. _DetailedPVPlant: + + +Detailed PV Plant +================================ + +PV Generator class based on PySAM's PVWatts and Pvsam Models. Allows more +detailed configuration than `PVPlant`. + +.. autoclass:: hopp.simulation.technologies.detailed_pv_plant.DetailedPVPlant + :members: + :undoc-members: + +.. autoclass:: hopp.simulation.technologies.detailed_pv_plant.DetailedPVConfig + :members: + :undoc-members: + diff --git a/docs/hopp/simulation/technologies/power_source.rst b/docs/hopp/simulation/technologies/power_source.rst index 96ae4a6bf..29c880853 100644 --- a/docs/hopp/simulation/technologies/power_source.rst +++ b/docs/hopp/simulation/technologies/power_source.rst @@ -1,17 +1,11 @@ .. _PowerSource: -Power Sources and Storage Technologies -======================================= -Base class for energy generators: +Power Source +================================ -.. toctree:: - pv_source.rst - wind_source.rst - csp_source.rst - battery.rst - grid.rst +Base class for power generation technologies. .. autoclass:: hopp.simulation.technologies.power_source.PowerSource :members: - :exclude-members: copy, plot + :exclude-members: copy, plot \ No newline at end of file diff --git a/docs/hopp/simulation/technologies/pv_source.rst b/docs/hopp/simulation/technologies/pv_source.rst index 77e50cd81..383981810 100644 --- a/docs/hopp/simulation/technologies/pv_source.rst +++ b/docs/hopp/simulation/technologies/pv_source.rst @@ -1,4 +1,4 @@ -.. _PVSource: +.. _PVPlant: PV Plant @@ -9,3 +9,7 @@ PV Generator class based on PySAM's PVWatts and Pvsam Models .. autoclass:: hopp.simulation.technologies.pv_source.PVPlant :members: :undoc-members: + +.. autoclass:: hopp.simulation.technologies.pv_source.PVConfig + :members: + :undoc-members: diff --git a/docs/hopp/simulation/technologies/technologies.rst b/docs/hopp/simulation/technologies/technologies.rst new file mode 100644 index 000000000..cccc918df --- /dev/null +++ b/docs/hopp/simulation/technologies/technologies.rst @@ -0,0 +1,14 @@ +.. _Technologies: + +Power Sources and Storage Technologies +======================================= + +.. toctree:: + pv_source.rst + detailed_pv_plant.rst + wind_source.rst + csp_source.rst + battery.rst + grid.rst + power_source.rst + diff --git a/docs/index.rst b/docs/index.rst index c40fb0ab1..d50e18b95 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -7,7 +7,7 @@ Welcome to HOPP's documentation! ================================ .. toctree:: - :maxdepth: 3 + :maxdepth: 2 :caption: Contents: installation.rst @@ -15,7 +15,7 @@ Welcome to HOPP's documentation! hopp/simulation/technologies/sites/site_info.rst hopp/simulation/hybrid_simulation.rst - hopp/simulation/technologies/power_source.rst + hopp/simulation/technologies/technologies.rst hopp/simulation/technologies/dispatch/power_source_dispatch.rst hopp/simulation/technologies/layout/flicker.rst hopp/using_mybinder.rst diff --git a/hopp/simulation/technologies/detailed_pv_plant.py b/hopp/simulation/technologies/detailed_pv_plant.py index f4a6e527a..b653b8dfe 100644 --- a/hopp/simulation/technologies/detailed_pv_plant.py +++ b/hopp/simulation/technologies/detailed_pv_plant.py @@ -9,7 +9,6 @@ from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.layout.pv_layout import PVLayout -from hopp.simulation.technologies.dispatch.power_sources import PvDispatch from hopp.simulation.technologies.layout.pv_design_utils import ( align_from_capacity, get_inverter_power, verify_capacity_from_electrical_parameters ) @@ -25,12 +24,33 @@ @define class DetailedPVConfig(PVConfig): + """ + Configuration class for `DetailedPVPlant`. + + Args: + system_capacity_kw: Design system capacity + use_pvwatts: Whether to use PVWatts (defaults to True). If False, this + config should be used in a `DetailedPVPlant`. + layout_params: Optional layout parameters + layout_model: Optional layout model instance + fin_model: Optional financial model instance + tech_config: Optional dict with more detailed system configuration + + """ system_capacity_kw: Optional[float] = field(default=None) tech_config: Optional[dict] = field(default=None) @define class DetailedPVPlant(PowerSource): + """ + A detailed PV Plant, typically using `Pvsam`. + + Args: + site: The site information. + config: Configuration dictionary representing a `DetailedPVConfig`. + + """ site: SiteInfo config: dict @@ -70,7 +90,7 @@ def __attrs_post_init__(self): def processed_assign(self): """ Assign attributes from dictionaries with additional processing - to enforce coherence between attributes + to enforce coherence between attributes. """ if self.pv_config.system_capacity_kw is not None: # aggregate into tech_config if self.pv_config.tech_config is None: @@ -157,44 +177,61 @@ def processed_assign(self): if self.layout.parameters is not None: self.layout.set_layout_params(self.system_capacity, self.layout.parameters) - def get_pv_module(self, only_ref_vals=True) -> dict: + def get_pv_module(self, only_ref_vals: bool = True) -> dict: """ - Returns the PV module attributes for either the PVsamv1 or PVWattsv8 models - :param only_ref_vals: ``bool``, optional, returns only the reference values (e.g., I_sc_ref) if True or model params if False + Returns the PV module attributes for either the PVsamv1 or PVWattsv8 models. + + Args: + only_ref_vals: returns only the reference values (e.g., I_sc_ref) if True + or model params if False + + Returns: + dict: PV module attributes """ return get_module_attribs(self.system_model, only_ref_vals) def set_pv_module(self, params: dict): """ Sets the PV module model parameters for either the PVsamv1 or PVWattsv8 models. - :param params: dictionary of parameters + + Args: + params: dictionary of parameters + """ set_module_attribs(self.system_model, params) # update system capacity directly to not recalculate the number of inverters, consistent with the SAM UI self.system_model.value('system_capacity', self.module_power * self.modules_per_string * self.n_strings) - def get_inverter(self, only_ref_vals=True) -> dict: + def get_inverter(self, only_ref_vals: bool = True) -> dict: """ - Returns the inverter attributes for either the PVsamv1 or PVWattsv8 models - :param only_ref_vals: ``bool``, optional, returns only the reference values (e.g., V_dc_max) if True or model params if False + Returns the inverter attributes for either the PVsamv1 or PVWattsv8 models. + + Args: + only_ref_vals: optional, returns only the reference values (e.g., V_dc_max) if True or model params if False + + Returns: + dict: inverter attributes """ return get_inverter_attribs(self.system_model, only_ref_vals) def set_inverter(self, params: dict): """ Sets the inverter model parameters for either the PVsamv1 or PVWattsv8 models. - :param params: dictionary of parameters + + Args: + params: dictionary of parameters + """ set_inverter_attribs(self.system_model, params) @property def system_capacity(self) -> float: - """pass through to established name property""" + """Pass through to established name property.""" return self.system_capacity_kw @system_capacity.setter def system_capacity(self, size_kw: float): - """pass through to established name setter""" + """Pass through to established name setter.""" self.system_capacity_kw = size_kw @property @@ -204,9 +241,11 @@ def system_capacity_kw(self) -> float: @system_capacity_kw.setter def system_capacity_kw(self, system_capacity_kw_: float): """ - Sets the system capacity - :param system_capacity_kw_: DC system size in kW - :return: + Sets the system capacity. + + Args: + system_capacity_kw_: DC system size in kW + """ n_strings, system_capacity, n_inverters = align_from_capacity( system_capacity_target=system_capacity_kw_, @@ -241,7 +280,8 @@ def dc_ac_ratio(self) -> float: @dc_ac_ratio.setter def dc_ac_ratio(self, target_dc_ac_ratio: float): """ - Sets the dc to ac ratio while keeping the existing system capacity, by adjusting the modules per string and number of inverters + Sets the dc to ac ratio while keeping the existing system capacity, by + adjusting the modules per string and number of inverters. """ n_strings, system_capacity, n_inverters = align_from_capacity( system_capacity_target=self.system_capacity_kw, @@ -262,40 +302,40 @@ def dc_ac_ratio(self, target_dc_ac_ratio: float): @property def module_power(self) -> float: - """Module power in kW""" + """Module power in kW.""" module_attribs = get_module_attribs(self.system_model) return module_attribs['P_mp_ref'] @property def module_width(self) -> float: - """Module width in meters""" + """Module width in meters.""" module_attribs = get_module_attribs(self.system_model) return module_attribs['width'] @property def module_length(self) -> float: - """Module length in meters""" + """Module length in meters.""" module_attribs = get_module_attribs(self.system_model) return module_attribs['length'] @property def module_height(self) -> float: - """Module height in meters""" + """Module height in meters.""" return self.module_length @property def inverter_power(self) -> float: - """Inverter power in kW""" + """Inverter power in kW.""" return get_inverter_power(self.system_model) @property def modules_per_string(self) -> float: - """Modules per string""" + """Modules per string.""" return self.system_model.SystemDesign.subarray1_modules_per_string @modules_per_string.setter def modules_per_string(self, _modules_per_string: float): - """Sets the modules per string and updates the system capacity""" + """Sets the modules per string and updates the system capacity.""" self.system_model.SystemDesign.subarray1_modules_per_string = _modules_per_string self.system_model.SystemDesign.subarray2_modules_per_string = 0 self.system_model.SystemDesign.subarray3_modules_per_string = 0 @@ -305,17 +345,20 @@ def modules_per_string(self, _modules_per_string: float): @property def subarray1_modules_per_string(self) -> float: - """Number of modules per string in subarray 1""" + """Number of modules per string in subarray 1.""" return self.system_model.value('subarray1_modules_per_string') @subarray1_modules_per_string.setter def subarray1_modules_per_string(self, subarray1_modules_per_string_: float): - """Sets the number of modules per string in subarray 1, which is for now the same in all subarrays""" + """ + Sets the number of modules per string in subarray 1, which is for now + the same in all subarrays. + """ self.modules_per_string = subarray1_modules_per_string_ @property def n_strings(self) -> float: - """Total number of strings""" + """Total number of strings.""" return self.system_model.SystemDesign.subarray1_nstrings \ + self.system_model.SystemDesign.subarray2_nstrings \ + self.system_model.SystemDesign.subarray3_nstrings \ @@ -323,7 +366,7 @@ def n_strings(self) -> float: @n_strings.setter def n_strings(self, _n_strings: float): - """Sets the total number of strings and updates the system capacity""" + """Sets the total number of strings and updates the system capacity.""" self.system_model.SystemDesign.subarray1_nstrings = _n_strings self.system_model.SystemDesign.subarray2_nstrings = 0 self.system_model.SystemDesign.subarray3_nstrings = 0 @@ -333,20 +376,23 @@ def n_strings(self, _n_strings: float): @property def subarray1_nstrings(self) -> float: - """Number of strings in subarray 1""" + """Number of strings in subarray 1.""" return self.system_model.value('subarray1_nstrings') @subarray1_nstrings.setter def subarray1_nstrings(self, subarray1_nstrings_: float): - """Sets the number of strings in subarray 1, which is for now the total number of strings""" + """ + Sets the number of strings in subarray 1, which is for now the total + number of strings. + """ self.n_strings = subarray1_nstrings_ @property def n_inverters(self) -> float: - """Total number of inverters""" + """Total number of inverters.""" return self.system_model.SystemDesign.inverter_count @n_inverters.setter def n_inverters(self, _n_inverters: float): - """Sets the total number of inverters""" + """Sets the total number of inverters.""" self.system_model.SystemDesign.inverter_count = _n_inverters diff --git a/hopp/simulation/technologies/pv_source.py b/hopp/simulation/technologies/pv_source.py index 3814740c6..47e1bd217 100644 --- a/hopp/simulation/technologies/pv_source.py +++ b/hopp/simulation/technologies/pv_source.py @@ -8,7 +8,6 @@ from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.layout.pv_layout import PVLayout, PVGridParameters -from hopp.simulation.technologies.dispatch.power_sources import PvDispatch from hopp.simulation.base import BaseClass @@ -24,6 +23,7 @@ class PVConfig(BaseClass): layout_params: Optional layout parameters layout_model: Optional layout model instance fin_model: Optional financial model instance + """ system_capacity_kw: float use_pvwatts: bool = field(default=True) @@ -40,6 +40,7 @@ class PVPlant(PowerSource): Args: site: The site information. config: Configuration dictionary representing a PVConfig. + """ site: SiteInfo @@ -81,6 +82,7 @@ def __attrs_post_init__(self): @property def system_capacity_kw(self) -> float: + """Gets the system capacity.""" # TODO: This is currently DC power; however, all other systems are rated by AC power # return self._system_model.SystemDesign.system_capacity / self._system_model.SystemDesign.dc_ac_ratio return self.system_model.SystemDesign.system_capacity @@ -88,9 +90,7 @@ def system_capacity_kw(self) -> float: @system_capacity_kw.setter def system_capacity_kw(self, size_kw: float): """ - Sets the system capacity and updates the system, cost and financial model - :param size_kw: - :return: + Sets the system capacity and updates the system, cost and financial model. """ self.system_model.SystemDesign.system_capacity = size_kw self.financial_model.value('system_capacity', size_kw) # needed for custom financial models @@ -98,9 +98,10 @@ def system_capacity_kw(self, size_kw: float): @property def dc_degradation(self) -> float: - """Annual DC degradation for lifetime simulations [%/year]""" + """Annual DC degradation for lifetime simulations [%/year].""" return self.system_model.Lifetime.dc_degradation @dc_degradation.setter def dc_degradation(self, dc_deg_per_year: Sequence): + """Sets annual DC degradation for lifetime simulations [%/year].""" self.system_model.Lifetime.dc_degradation = dc_deg_per_year \ No newline at end of file diff --git a/hopp/simulation/technologies/sites/site_info.py b/hopp/simulation/technologies/sites/site_info.py index 776545fd1..143aa79a7 100644 --- a/hopp/simulation/technologies/sites/site_info.py +++ b/hopp/simulation/technologies/sites/site_info.py @@ -43,15 +43,15 @@ class SiteInfo(BaseClass): Represents site-specific information needed by the hybrid simulation class and layout optimization. Args: - data (dict): Dictionary containing site-specific information. - solar_resource_file (Union[Path, str], optional): Path to solar resource file. Defaults to "". - wind_resource_file (Union[Path, str], optional): Path to wind resource file. Defaults to "". - grid_resource_file (Union[Path, str], optional): Path to grid pricing data file. Defaults to "". - hub_height (float, optional): Turbine hub height for resource download in meters. Defaults to 97.0. - capacity_hours (:obj:`NDArray`, optional): Boolean list indicating hours for capacity payments. Defaults to []. - desired_schedule (:obj:`NDArray`, optional): Absolute desired load profile in MWe. Defaults to []. - solar (bool, optional): Whether to set solar data for this site. Defaults to True. - wind (bool, optional): Whether to set wind data for this site. Defaults to True. + data: Dictionary containing site-specific information. + solar_resource_file: Path to solar resource file. Defaults to "". + wind_resource_file: Path to wind resource file. Defaults to "". + grid_resource_file: Path to grid pricing data file. Defaults to "". + hub_height: Turbine hub height for resource download in meters. Defaults to 97.0. + capacity_hours: Boolean list indicating hours for capacity payments. Defaults to []. + desired_schedule: Absolute desired load profile in MWe. Defaults to []. + solar: Whether to set solar data for this site. Defaults to True. + wind: Whether to set wind data for this site. Defaults to True. """ # User provided data: dict From 237a08178a6a2c6fe6642e77c3d4809e12b14039 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Fri, 8 Sep 2023 15:30:10 -0700 Subject: [PATCH 06/46] Update tests Opting to leave out tests related to property getters and setters, which are highly coupled with PySAM. --- tests/hopp/test_custom_financial.py | 63 ++++++--------------- tests/hopp/test_detailed_pv_plant.py | 85 ++++++++++++++++++++++++++++ tests/hopp/test_hybrid.py | 2 +- tests/hopp/test_pv_source.py | 38 +------------ tests/hopp/utils.py | 23 ++++++++ 5 files changed, 130 insertions(+), 81 deletions(-) create mode 100644 tests/hopp/test_detailed_pv_plant.py diff --git a/tests/hopp/test_custom_financial.py b/tests/hopp/test_custom_financial.py index 84c0d532f..4fa57a1d0 100644 --- a/tests/hopp/test_custom_financial.py +++ b/tests/hopp/test_custom_financial.py @@ -1,46 +1,19 @@ from pytest import approx, fixture -from pathlib import Path import json from hopp import ROOT_DIR -from hopp.simulation.technologies.sites import SiteInfo, flatirons_site from hopp.simulation.technologies.layout.hybrid_layout import PVGridParameters, WindBoundaryGridParameters from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel from hopp.simulation.hybrid_simulation import HybridSimulation from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant -from examples.Detailed_PV_Layout.detailed_pv_layout import DetailedPVParameters, DetailedPVLayout from hopp.simulation.technologies.grid import Grid +from tests.hopp.utils import create_default_site_info, DEFAULT_FIN_CONFIG - -solar_resource_file = ROOT_DIR.parent / "resource_files" / "solar" / "35.2018863_-101.945027_psmv3_60_2012.csv" -wind_resource_file = ROOT_DIR.parent / "resource_files" / "wind" / "35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw" pvsamv1_defaults_file = ROOT_DIR.parent / "tests" / "hopp" / "pvsamv1_basic_params.json" @fixture def site(): - return SiteInfo(flatirons_site, solar_resource_file=solar_resource_file, wind_resource_file=wind_resource_file) - - -default_fin_config = { - 'batt_replacement_schedule_percent': [0], - 'batt_bank_replacement': [0], - 'batt_replacement_option': 0, - 'batt_computed_bank_capacity': 0, - 'batt_meter_position': 0, - 'om_fixed': [1], - 'om_production': [2], - 'om_capacity': (0,), - 'om_batt_fixed_cost': 0, - 'om_batt_variable_cost': [0], - 'om_batt_capacity_cost': 0, - 'om_batt_replacement_cost': 0, - 'om_replacement_cost_escal': 0, - 'system_use_lifetime_output': 0, - 'inflation_rate': 2.5, - 'real_discount_rate': 6.4, - 'cp_capacity_credit_percent': [0], - 'degradation': [0], -} + return create_default_site_info() def test_custom_financial(): @@ -77,7 +50,7 @@ def test_detailed_pv(site): config={ 'tech_config': tech_config, 'layout_params': layout_params, - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), } ) @@ -85,7 +58,7 @@ def test_detailed_pv(site): site=site, grid_config={ 'interconnect_kw': interconnect_kw, - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), } ) @@ -145,7 +118,7 @@ def test_hybrid_simple_pv_with_wind(site): site=site, grid_config={ 'interconnect_kw': interconnect_kw, - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), } ) @@ -158,7 +131,7 @@ def test_hybrid_simple_pv_with_wind(site): gcr=0.5, s_buffer=2, x_buffer=2), - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), }, 'wind': { 'num_turbines': 5, @@ -169,7 +142,7 @@ def test_hybrid_simple_pv_with_wind(site): grid_angle=0.5, grid_aspect_power=0.5, row_phase_offset=0.5), - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), }, 'grid': { 'grid_source': grid_source, @@ -222,7 +195,7 @@ def test_hybrid_detailed_pv_with_wind(site): config={ 'tech_config': tech_config, 'layout_params': layout_params, - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), } ) @@ -230,7 +203,7 @@ def test_hybrid_detailed_pv_with_wind(site): site=site, grid_config={ 'interconnect_kw': interconnect_kw, - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), } ) @@ -247,7 +220,7 @@ def test_hybrid_detailed_pv_with_wind(site): grid_angle=0.5, grid_aspect_power=0.5, row_phase_offset=0.5), - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), }, 'grid': { 'grid_source': grid_source, @@ -296,7 +269,7 @@ def test_hybrid_simple_pv_with_wind_storage_dispatch(site): gcr=0.5, s_buffer=2, x_buffer=2), - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), }, 'wind': { 'num_turbines': 5, @@ -307,16 +280,16 @@ def test_hybrid_simple_pv_with_wind_storage_dispatch(site): grid_angle=0.5, grid_aspect_power=0.5, row_phase_offset=0.5), - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), }, 'battery': { 'system_capacity_kwh': batt_kw * 4, 'system_capacity_kw': batt_kw, - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), }, 'grid': { 'interconnect_kw': interconnect_kw, - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), } } hybrid_plant = HybridSimulation(power_sources, site) @@ -374,7 +347,7 @@ def test_hybrid_detailed_pv_with_wind_storage_dispatch(site): gcr=0.5, s_buffer=2, x_buffer=2), - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), } ) @@ -391,16 +364,16 @@ def test_hybrid_detailed_pv_with_wind_storage_dispatch(site): grid_angle=0.5, grid_aspect_power=0.5, row_phase_offset=0.5), - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), }, 'battery': { 'system_capacity_kwh': batt_kw * 4, 'system_capacity_kw': batt_kw, - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), }, 'grid': { 'interconnect_kw': interconnect_kw, - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), } } hybrid_plant = HybridSimulation(power_sources, site) diff --git a/tests/hopp/test_detailed_pv_plant.py b/tests/hopp/test_detailed_pv_plant.py new file mode 100644 index 000000000..12d5a499a --- /dev/null +++ b/tests/hopp/test_detailed_pv_plant.py @@ -0,0 +1,85 @@ +from pathlib import Path + +import json +import pytest +from pytest import fixture +import PySAM.Singleowner as Singleowner + +from hopp.simulation.technologies.detailed_pv_plant import DetailedPVConfig, DetailedPVPlant +from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel +from hopp.simulation.technologies.layout.pv_layout import PVLayout, PVGridParameters +from tests.hopp.utils import create_default_site_info, DEFAULT_FIN_CONFIG + +config_data = { + 'system_capacity_kw': 100, + 'tech_config': { + 'subarray2_enable': 0 + } +} + + +@fixture +def site(): + return create_default_site_info() + + +def test_detailed_pv_plant_initialization(site): + """Test simple instantiation (no layout params).""" + pv_plant = DetailedPVPlant(site=site, config=config_data) + assert pv_plant.site == site + assert isinstance(pv_plant.financial_model, Singleowner.Singleowner) + assert isinstance(pv_plant.layout, PVLayout) + assert pv_plant.layout.parameters is None + assert isinstance(pv_plant.pv_config, DetailedPVConfig) + + +def test_single_subarray_limitation(site): + """Ensure only one subarray is allowed.""" + config_with_multiple_subarrays = { + 'system_capacity_kw': 100, + 'tech_config': { + 'subarray2_enable': 1 + } + } + with pytest.raises(Exception, match=r"Detailed PV plant currently only supports one subarray."): + DetailedPVPlant(site=site, config=config_with_multiple_subarrays) + + +def test_processed_assign(site, subtests): + """Test more detailed instantiation with `tech_config`.""" + pvsamv1_defaults_file = Path(__file__).absolute().parent / "pvsamv1_basic_params.json" + with open(pvsamv1_defaults_file, 'r') as f: + tech_config = json.load(f) + + with subtests.test("With Pvsamv1 configuration file"): + config = {"tech_config": tech_config} + pv_plant = DetailedPVPlant(site=site, config=config) + assert pv_plant.system_capacity_kw is not None + + +def test_layout_parameters(site): + """Ensure layout parameters are set properly if provided.""" + config_with_layout_params = { + 'system_capacity_kw': 100, + 'layout_params': PVGridParameters( + x_position=0.5, + y_position=0.5, + aspect_power=0, + gcr=0.5, + s_buffer=2, + x_buffer=2 + ) + } + pv_plant = DetailedPVPlant(site=site, config=config_with_layout_params) + assert pv_plant.layout.parameters == config_with_layout_params['layout_params'] + + +def test_custom_financial(site): + """Test with a non-default financial model.""" + config = { + 'system_capacity_kw': 100, + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + } + pv_plant = DetailedPVPlant(site=site, config=config) + assert pv_plant.financial_model is not None + assert isinstance(pv_plant.financial_model, CustomFinancialModel) \ No newline at end of file diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index 45f94aaea..58cae1a97 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -459,7 +459,7 @@ def test_custom_layout(site): npv_expected = -2641250 solar_only = { 'pv': { - # 'use_pvwatts': True, + 'use_pvwatts': True, 'system_capacity_kw': 5000, 'layout_model': detailed_layout, }, diff --git a/tests/hopp/test_pv_source.py b/tests/hopp/test_pv_source.py index d46c641e1..378b1534c 100644 --- a/tests/hopp/test_pv_source.py +++ b/tests/hopp/test_pv_source.py @@ -1,21 +1,17 @@ from pytest import fixture -import pytest from numpy.testing import assert_array_equal import PySAM.Pvwattsv8 as Pvwatts import PySAM.Singleowner as Singleowner -from hopp import ROOT_DIR -from hopp.simulation.technologies.sites import SiteInfo, flatirons_site from hopp.simulation.technologies.pv_source import PVConfig, PVPlant from hopp.simulation.technologies.layout.pv_layout import PVLayout - -solar_resource_file = ROOT_DIR.parent / "resource_files" / "solar" / "35.2018863_-101.945027_psmv3_60_2012.csv" +from tests.hopp.utils import create_default_site_info @fixture def site(): - return SiteInfo(flatirons_site, solar_resource_file=solar_resource_file, wind=False) + return create_default_site_info() @fixture @@ -37,32 +33,4 @@ def test_pv_plant_init(site): assert isinstance(pv_plant.system_model, Pvwatts.Pvwattsv8) assert isinstance(pv_plant.financial_model, Singleowner.Singleowner) assert isinstance(pv_plant.layout, PVLayout) - assert pv_plant.config_name == "PVWattsSingleOwner" - - -def test_pv_plant_bad_config(site, subtests): - with subtests.test("No system capacity"): - with pytest.raises(TypeError): - PVPlant(site=site, config={}) - - -def test_pv_plant_system_capacity(site, subtests): - pv_plant = PVPlant(site=site, config={'system_capacity_kw': 100.0}) - - with subtests.test("getter"): - assert pv_plant.system_capacity_kw == 100.0 - - with subtests.test("setter"): - pv_plant.system_capacity_kw = 200.0 - assert pv_plant.system_capacity_kw == 200.0 - - -def test_pv_plant_dc_degradation(site, subtests): - pv_plant = PVPlant(site=site, config={'system_capacity_kw': 100.0}) - - with subtests.test("getter"): - assert_array_equal(pv_plant.dc_degradation, [0]) - - with subtests.test("setter"): - pv_plant.dc_degradation = [1] - assert_array_equal(pv_plant.dc_degradation, [1]) + assert pv_plant.config_name == "PVWattsSingleOwner" \ No newline at end of file diff --git a/tests/hopp/utils.py b/tests/hopp/utils.py index 6ff72284c..6417d0f55 100644 --- a/tests/hopp/utils.py +++ b/tests/hopp/utils.py @@ -1,9 +1,32 @@ from hopp import ROOT_DIR from hopp.simulation.technologies.sites import SiteInfo, flatirons_site +# default resource files DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / "resource_files" / "solar" / "35.2018863_-101.945027_psmv3_60_2012.csv" DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / "resource_files" / "wind" / "35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw" +# default configuration for `CustomFinancialModel` +DEFAULT_FIN_CONFIG = { + 'batt_replacement_schedule_percent': [0], + 'batt_bank_replacement': [0], + 'batt_replacement_option': 0, + 'batt_computed_bank_capacity': 0, + 'batt_meter_position': 0, + 'om_fixed': [1], + 'om_production': [2], + 'om_capacity': (0,), + 'om_batt_fixed_cost': 0, + 'om_batt_variable_cost': [0], + 'om_batt_capacity_cost': 0, + 'om_batt_replacement_cost': 0, + 'om_replacement_cost_escal': 0, + 'system_use_lifetime_output': 0, + 'inflation_rate': 2.5, + 'real_discount_rate': 6.4, + 'cp_capacity_credit_percent': [0], + 'degradation': [0], +} + def create_default_site_info(**kwargs): return SiteInfo( flatirons_site, From 23e35d73ab65ab4fe84cea7a1e5f92cf302de723 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Mon, 18 Sep 2023 17:20:15 -0700 Subject: [PATCH 07/46] Update tests - Removed instance checking, since it's enforcing coupling that we might not have in the future - Began adding validators --- hopp/simulation/technologies/pv_source.py | 6 ++++-- hopp/utilities/validators.py | 8 ++++++++ tests/hopp/test_pv_source.py | 24 ++++++++++++----------- 3 files changed, 25 insertions(+), 13 deletions(-) create mode 100644 hopp/utilities/validators.py diff --git a/hopp/simulation/technologies/pv_source.py b/hopp/simulation/technologies/pv_source.py index 47e1bd217..c7d735b02 100644 --- a/hopp/simulation/technologies/pv_source.py +++ b/hopp/simulation/technologies/pv_source.py @@ -9,6 +9,7 @@ from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.layout.pv_layout import PVLayout, PVGridParameters from hopp.simulation.base import BaseClass +from hopp.utilities.validators import gt_zero @define @@ -25,7 +26,8 @@ class PVConfig(BaseClass): fin_model: Optional financial model instance """ - system_capacity_kw: float + system_capacity_kw: float = field(validator=gt_zero) + use_pvwatts: bool = field(default=True) layout_params: Optional[PVGridParameters] = field(default=None) layout_model: Optional[PVLayout] = field(default=None) @@ -61,7 +63,7 @@ def __attrs_post_init__(self): else: self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) - super().__init__("SolarPlant", self.site, self.system_model, self.financial_model) + super().__init__("PVPlant", self.site, self.system_model, self.financial_model) if self.site.solar_resource is not None: self.system_model.SolarResource.solar_resource_data = self.site.solar_resource.data diff --git a/hopp/utilities/validators.py b/hopp/utilities/validators.py new file mode 100644 index 000000000..de42d833c --- /dev/null +++ b/hopp/utilities/validators.py @@ -0,0 +1,8 @@ +""" +This module contains validator functions for use with `attrs` class definitions. +""" + +def gt_zero(instance, attribute, value): + """Validates that an attribute's value is greater than zero.""" + if value <= 0: + raise ValueError("system_capacity_kw must be greater than zero") diff --git a/tests/hopp/test_pv_source.py b/tests/hopp/test_pv_source.py index 378b1534c..8a1ba0b56 100644 --- a/tests/hopp/test_pv_source.py +++ b/tests/hopp/test_pv_source.py @@ -1,11 +1,9 @@ +import pytest from pytest import fixture from numpy.testing import assert_array_equal -import PySAM.Pvwattsv8 as Pvwatts -import PySAM.Singleowner as Singleowner from hopp.simulation.technologies.pv_source import PVConfig, PVPlant -from hopp.simulation.technologies.layout.pv_layout import PVLayout from tests.hopp.utils import create_default_site_info @@ -19,18 +17,22 @@ def sample_pv_config(): return PVConfig(system_capacity_kw=100.0) -def test_pv_config_initialization(): +def test_pv_config_initialization(subtests): pv_config = PVConfig(system_capacity_kw=100.0) assert pv_config.system_capacity_kw == 100.0 assert pv_config.layout_params is None assert pv_config.layout_model is None assert pv_config.fin_model is None + with subtests.test("with invalid system_capacity_kw"): + with pytest.raises(ValueError): + pv_config = PVConfig(system_capacity_kw=0.0) -def test_pv_plant_init(site): - pv_plant = PVPlant(site=site, config={'system_capacity_kw': 100.0}) - assert isinstance(pv_plant.pv_config, PVConfig) - assert isinstance(pv_plant.system_model, Pvwatts.Pvwattsv8) - assert isinstance(pv_plant.financial_model, Singleowner.Singleowner) - assert isinstance(pv_plant.layout, PVLayout) - assert pv_plant.config_name == "PVWattsSingleOwner" \ No newline at end of file + +def test_pv_plant_initialization(site): + system_capacity_kw = 100.0 + pv_plant = PVPlant(site=site, config={'system_capacity_kw': system_capacity_kw}) + assert pv_plant.config_name == "PVWattsSingleOwner" + assert pv_plant.name == "PVPlant" + assert pv_plant.system_capacity_kw == system_capacity_kw + assert_array_equal(pv_plant.dc_degradation, [0]) \ No newline at end of file From e69d44df09d0e21e16ce17a76bb60995656f2600 Mon Sep 17 00:00:00 2001 From: Jenna Ruzekowicz <70097453+jruzekowicz@users.noreply.github.com> Date: Wed, 20 Sep 2023 13:03:23 -0700 Subject: [PATCH 08/46] Update wind_resource.py to correct automatically setting success variable to false --- hopp/simulation/technologies/resource/wind_resource.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/hopp/simulation/technologies/resource/wind_resource.py b/hopp/simulation/technologies/resource/wind_resource.py index 8d826c218..fa25b07b1 100644 --- a/hopp/simulation/technologies/resource/wind_resource.py +++ b/hopp/simulation/technologies/resource/wind_resource.py @@ -97,7 +97,7 @@ def update_height(self, hub_height_meters): self.calculate_heights_to_download() def download_resource(self): - success = False + success = os.path.isfile(self.filename) if not success: for height, f in self.file_resource_heights.items(): @@ -118,7 +118,6 @@ def download_resource(self): if not success: raise ValueError('Could not combine wind resource files successfully') - print(success) return success def combine_wind_files(self): From f18195c78be81e8963da63e0db529640b01d4219 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Wed, 20 Sep 2023 10:25:05 -0700 Subject: [PATCH 09/46] Update setup Fixes an issue with pip installs for HOPP when using python >3.8 --- requirements.txt | 3 +-- setup.py | 2 +- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/requirements.txt b/requirements.txt index f82ad77d2..c95e732ab 100644 --- a/requirements.txt +++ b/requirements.txt @@ -18,7 +18,7 @@ nevergrad numpy numpy-financial optuna -pandas<=2.0.0 +pandas>=2.0.3 pint pvmismatch pyDOE2 @@ -39,7 +39,6 @@ setuptools timezonefinder urllib3 openpyxl -orbit-nrel CoolProp attrs utm diff --git a/setup.py b/setup.py index 07fb1ba5b..9e3d2f50a 100644 --- a/setup.py +++ b/setup.py @@ -68,7 +68,7 @@ def recursive_directories(dirs): license='BSD 3-Clause', author='NREL', author_email='dguittet@nrel.gov', - python_requires='>=3.7', + python_requires='>=3.8', packages=pkg_dirs, package_data=package_data, include_package_data=True, From a1ed8c0f3fc638afc4ed600616e5ef7d57faca25 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Tue, 26 Sep 2023 12:38:15 -0700 Subject: [PATCH 10/46] Update PV Config interface --- hopp/simulation/hybrid_simulation.py | 12 +++-- .../technologies/detailed_pv_plant.py | 29 +++++------- hopp/simulation/technologies/pv_source.py | 17 +++---- tests/hopp/test_custom_financial.py | 45 +++++++++--------- tests/hopp/test_detailed_pv_plant.py | 26 +++++----- tests/hopp/test_dispatch.py | 5 +- tests/hopp/test_hybrid.py | 20 ++++---- tests/hopp/test_layout.py | 47 ++++++++----------- tests/hopp/test_pv_source.py | 10 ++-- tests/hopp/test_reopt.py | 5 +- 10 files changed, 109 insertions(+), 107 deletions(-) diff --git a/hopp/simulation/hybrid_simulation.py b/hopp/simulation/hybrid_simulation.py index dee2fd110..2fd5e4aee 100644 --- a/hopp/simulation/hybrid_simulation.py +++ b/hopp/simulation/hybrid_simulation.py @@ -11,8 +11,8 @@ from hopp.tools.analysis import create_cost_calculator from hopp.simulation.technologies.sites.site_info import SiteInfo -from hopp.simulation.technologies.pv_source import PVPlant -from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant +from hopp.simulation.technologies.pv_source import PVPlant, PVConfig +from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant, DetailedPVConfig from hopp.simulation.technologies.wind_source import WindPlant from hopp.simulation.technologies.tower_source import TowerPlant from hopp.simulation.technologies.trough_source import TroughPlant @@ -144,7 +144,7 @@ def __init__(self, self.sim_options = simulation_options if simulation_options else dict() self.power_sources = OrderedDict() - self.pv: Union[PVPlant, None] = None + self.pv: Union[PVPlant, DetailedPVPlant, None] = None self.wind: Union[WindPlant, None] = None self.wave: Union[MHKWavePlant,None] = None self.tower: Union[TowerPlant, None] = None @@ -161,9 +161,11 @@ def __init__(self, if 'pv_plant' in power_sources['pv']: self.pv = power_sources['pv']['pv_plant'] # User instantiated plant elif 'use_pvwatts' in power_sources['pv'].keys() and not power_sources['pv']['use_pvwatts']: - self.pv = DetailedPVPlant(self.site, power_sources['pv']) # PVSAMv1 plant + config = DetailedPVConfig.from_dict(power_sources['pv']) + self.pv = DetailedPVPlant(self.site, config=config) # PVSAMv1 plant else: - self.pv = PVPlant(self.site, power_sources['pv']) # PVWatts plant + config = PVConfig.from_dict(power_sources['pv']) + self.pv = PVPlant(self.site, config=config) # PVWatts plant self.power_sources['pv'] = self.pv logger.info("Created HybridSystem.pv with system size {} mW".format(power_sources['pv'])) if 'wind' in power_sources.keys(): diff --git a/hopp/simulation/technologies/detailed_pv_plant.py b/hopp/simulation/technologies/detailed_pv_plant.py index b653b8dfe..88c946e09 100644 --- a/hopp/simulation/technologies/detailed_pv_plant.py +++ b/hopp/simulation/technologies/detailed_pv_plant.py @@ -1,4 +1,4 @@ -from typing import Sequence, Optional +from typing import Sequence, Optional, Union from attrs import define, field import PySAM.Pvsamv1 as Pvsam @@ -52,20 +52,17 @@ class DetailedPVPlant(PowerSource): """ site: SiteInfo - config: dict + config: DetailedPVConfig - pv_config: DetailedPVConfig = field(init=False) system_model: Pvsam.Pvsamv1 = field(init=False) financial_model: FinancialModelType = field(init=False) config_name: str = field(init=False, default="FlatPlatePVSingleOwner") def __attrs_post_init__(self): - self.pv_config = DetailedPVConfig.from_dict(self.config) - self.system_model = Pvsam.default(self.config_name) - if self.pv_config.fin_model is not None: - self.financial_model = self.import_financial_model(self.pv_config.fin_model, self.system_model, self.config_name) + if self.config.fin_model is not None: + self.financial_model = self.import_financial_model(self.config.fin_model, self.system_model, self.config_name) else: self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) @@ -75,14 +72,14 @@ def __attrs_post_init__(self): self.system_model.SolarResource.solar_resource_data = self.site.solar_resource.data self.dc_degradation = [0] - if self.pv_config.layout_model is not None: - self.layout = self.pv_config.layout_model + if self.config.layout_model is not None: + self.layout = self.config.layout_model self.layout._system_model = self.system_model else: self.layout = PVLayout( self.site, self.system_model, - self.pv_config.layout_params + self.config.layout_params ) self.processed_assign() @@ -92,13 +89,13 @@ def processed_assign(self): Assign attributes from dictionaries with additional processing to enforce coherence between attributes. """ - if self.pv_config.system_capacity_kw is not None: # aggregate into tech_config - if self.pv_config.tech_config is None: - self.pv_config.tech_config = {} - self.pv_config.tech_config['system_capacity'] = self.pv_config.system_capacity_kw + if self.config.system_capacity_kw is not None: # aggregate into tech_config + if self.config.tech_config is None: + self.config.tech_config = {} + self.config.tech_config['system_capacity'] = self.config.system_capacity_kw - if self.pv_config.tech_config is not None: - config = self.pv_config.tech_config + if self.config.tech_config is not None: + config = self.config.tech_config if 'subarray2_enable' in config.keys() and config['subarray2_enable'] == 1 \ or 'subarray3_enable' in config.keys() and config['subarray3_enable'] == 1 \ diff --git a/hopp/simulation/technologies/pv_source.py b/hopp/simulation/technologies/pv_source.py index c7d735b02..f74c173d3 100644 --- a/hopp/simulation/technologies/pv_source.py +++ b/hopp/simulation/technologies/pv_source.py @@ -46,20 +46,17 @@ class PVPlant(PowerSource): """ site: SiteInfo - config: dict + config: PVConfig - pv_config: PVConfig = field(init=False) system_model: Pvwatts.Pvwattsv8 = field(init=False) financial_model: FinancialModelType = field(init=False) config_name: str = field(init=False, default="PVWattsSingleOwner") def __attrs_post_init__(self): - self.pv_config = PVConfig.from_dict(self.config) - self.system_model = Pvwatts.default(self.config_name) - if self.pv_config.fin_model is not None: - self.financial_model = self.import_financial_model(self.pv_config.fin_model, self.system_model, self.config_name) + if self.config.fin_model is not None: + self.financial_model = self.import_financial_model(self.config.fin_model, self.system_model, self.config_name) else: self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) @@ -70,17 +67,17 @@ def __attrs_post_init__(self): self.dc_degradation = [0] - if self.pv_config.layout_model is not None: - self.layout = self.pv_config.layout_model + if self.config.layout_model is not None: + self.layout = self.config.layout_model self.layout._system_model = self.system_model else: - self.layout = PVLayout(self.site, self.system_model, self.pv_config.layout_params) + self.layout = PVLayout(self.site, self.system_model, self.config.layout_params) # TODO: it seems like an anti-pattern to be doing this in each power source, # then assigning the relevant class using metaprogramming in # HybridDispatchBuilderSolver._create_dispatch_optimization_model self._dispatch = None - self.system_capacity_kw = self.pv_config.system_capacity_kw + self.system_capacity_kw = self.config.system_capacity_kw @property def system_capacity_kw(self) -> float: diff --git a/tests/hopp/test_custom_financial.py b/tests/hopp/test_custom_financial.py index a1563cc7b..4e56502dd 100644 --- a/tests/hopp/test_custom_financial.py +++ b/tests/hopp/test_custom_financial.py @@ -5,7 +5,7 @@ from hopp.simulation.technologies.layout.hybrid_layout import PVGridParameters, WindBoundaryGridParameters from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel from hopp.simulation.hybrid_simulation import HybridSimulation -from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant +from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant, DetailedPVConfig from hopp.simulation.technologies.grid import Grid from tests.hopp.utils import create_default_site_info, DEFAULT_FIN_CONFIG @@ -45,13 +45,14 @@ def test_detailed_pv(site): x_buffer=2) interconnect_kw = 150e6 + config = DetailedPVConfig.from_dict({ + 'tech_config': tech_config, + 'layout_params': layout_params, + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + }) detailed_pvplant = DetailedPVPlant( site=site, - config={ - 'tech_config': tech_config, - 'layout_params': layout_params, - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), - } + config=config ) grid_source = Grid( @@ -191,13 +192,14 @@ def test_hybrid_detailed_pv_with_wind(site): s_buffer=2, x_buffer=2) + config = DetailedPVConfig.from_dict({ + 'tech_config': tech_config, + 'layout_params': layout_params, + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + }) detailed_pvplant = DetailedPVPlant( site=site, - config={ - 'tech_config': tech_config, - 'layout_params': layout_params, - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), - } + config=config ) grid_source = Grid( @@ -338,18 +340,19 @@ def test_hybrid_detailed_pv_with_wind_storage_dispatch(site): tech_config['inverter_count'] = 10 tech_config['subarray1_nstrings'] = 2687 + config = DetailedPVConfig.from_dict({ + 'tech_config': tech_config, + 'layout_params': PVGridParameters(x_position=0.5, + y_position=0.5, + aspect_power=0, + gcr=0.5, + s_buffer=2, + x_buffer=2), + 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + }) detailed_pvplant = DetailedPVPlant( site=site, - config={ - 'tech_config': tech_config, - 'layout_params': PVGridParameters(x_position=0.5, - y_position=0.5, - aspect_power=0, - gcr=0.5, - s_buffer=2, - x_buffer=2), - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), - } + config=config ) power_sources = { diff --git a/tests/hopp/test_detailed_pv_plant.py b/tests/hopp/test_detailed_pv_plant.py index 12d5a499a..85c81ca97 100644 --- a/tests/hopp/test_detailed_pv_plant.py +++ b/tests/hopp/test_detailed_pv_plant.py @@ -3,11 +3,10 @@ import json import pytest from pytest import fixture -import PySAM.Singleowner as Singleowner from hopp.simulation.technologies.detailed_pv_plant import DetailedPVConfig, DetailedPVPlant from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel -from hopp.simulation.technologies.layout.pv_layout import PVLayout, PVGridParameters +from hopp.simulation.technologies.layout.pv_layout import PVGridParameters from tests.hopp.utils import create_default_site_info, DEFAULT_FIN_CONFIG config_data = { @@ -23,14 +22,15 @@ def site(): return create_default_site_info() -def test_detailed_pv_plant_initialization(site): +def test_detailed_pv_plant_initialization(site, subtests): """Test simple instantiation (no layout params).""" - pv_plant = DetailedPVPlant(site=site, config=config_data) + config = DetailedPVConfig.from_dict(config_data) + pv_plant = DetailedPVPlant(site=site, config=config) assert pv_plant.site == site - assert isinstance(pv_plant.financial_model, Singleowner.Singleowner) - assert isinstance(pv_plant.layout, PVLayout) + assert pv_plant.financial_model is not None + assert pv_plant.layout is not None assert pv_plant.layout.parameters is None - assert isinstance(pv_plant.pv_config, DetailedPVConfig) + assert pv_plant.config is not None def test_single_subarray_limitation(site): @@ -41,8 +41,9 @@ def test_single_subarray_limitation(site): 'subarray2_enable': 1 } } + config = DetailedPVConfig.from_dict(config_with_multiple_subarrays) with pytest.raises(Exception, match=r"Detailed PV plant currently only supports one subarray."): - DetailedPVPlant(site=site, config=config_with_multiple_subarrays) + DetailedPVPlant(site=site, config=config) def test_processed_assign(site, subtests): @@ -52,7 +53,7 @@ def test_processed_assign(site, subtests): tech_config = json.load(f) with subtests.test("With Pvsamv1 configuration file"): - config = {"tech_config": tech_config} + config = DetailedPVConfig.from_dict({"tech_config": tech_config}) pv_plant = DetailedPVPlant(site=site, config=config) assert pv_plant.system_capacity_kw is not None @@ -70,16 +71,17 @@ def test_layout_parameters(site): x_buffer=2 ) } - pv_plant = DetailedPVPlant(site=site, config=config_with_layout_params) + config = DetailedPVConfig.from_dict(config_with_layout_params) + pv_plant = DetailedPVPlant(site=site, config=config) assert pv_plant.layout.parameters == config_with_layout_params['layout_params'] def test_custom_financial(site): """Test with a non-default financial model.""" - config = { + config = DetailedPVConfig.from_dict({ 'system_capacity_kw': 100, 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), - } + }) pv_plant = DetailedPVPlant(site=site, config=config) assert pv_plant.financial_model is not None assert isinstance(pv_plant.financial_model, CustomFinancialModel) \ No newline at end of file diff --git a/tests/hopp/test_dispatch.py b/tests/hopp/test_dispatch.py index 1a628b428..537fd660c 100644 --- a/tests/hopp/test_dispatch.py +++ b/tests/hopp/test_dispatch.py @@ -5,7 +5,7 @@ from pyomo.util.check_units import assert_units_consistent from hopp.simulation.technologies.wind_source import WindPlant -from hopp.simulation.technologies.pv_source import PVPlant +from hopp.simulation.technologies.pv_source import PVPlant, PVConfig from hopp.simulation.technologies.tower_source import TowerPlant from hopp.simulation.technologies.trough_source import TroughPlant from hopp.simulation.technologies.dispatch.power_sources.csp_dispatch import CspDispatch @@ -60,7 +60,8 @@ def test_solar_dispatch(site): dispatch_n_look_ahead = 48 - solar = PVPlant(site, technologies['pv']) + config = PVConfig.from_dict(technologies['pv']) + solar = PVPlant(site, config=config) model = pyomo.ConcreteModel(name='solar_only') model.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index 2c1979e31..9dceacd9d 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -12,7 +12,7 @@ from hopp.simulation.technologies.layout.wind_layout import WindBoundaryGridParameters from hopp.simulation.technologies.layout.pv_layout import PVGridParameters from hopp.simulation.hybrid_simulation import HybridSimulation -from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant +from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant, DetailedPVConfig from examples.Detailed_PV_Layout.detailed_pv_layout import DetailedPVParameters, DetailedPVLayout from examples.Detailed_PV_Layout.detailed_pv_config import PVLayoutConfig from hopp.simulation.technologies.grid import Grid @@ -312,8 +312,8 @@ def test_detailed_pv_system_capacity(site): def test_hybrid_detailed_pv_only(site): # Run standalone detailed PV model (pvsamv1) using defaults annual_energy_expected = 11236852 - solar_only = detailed_pv - pv_plant = DetailedPVPlant(site=site, config=solar_only) + config = DetailedPVConfig.from_dict(detailed_pv) + pv_plant = DetailedPVPlant(site=site, config=config) assert pv_plant.system_capacity_kw == approx(pv_kw, 1e-2) pv_plant.simulate_power(1, False) assert pv_plant.system_capacity_kw == approx(pv_kw, 1e-2) @@ -364,9 +364,10 @@ def test_hybrid_detailed_pv_only(site): assert npvs.hybrid == approx(npv_expected, 1e-3) # Run user-instantiated or user-defined detailed PV model (pvsamv1) using parameters from file + config = DetailedPVConfig.from_dict(solar_only['pv']) power_sources = { 'pv': { - 'pv_plant': DetailedPVPlant(site=site, config=solar_only['pv']), + 'pv_plant': DetailedPVPlant(site=site, config=config), }, 'grid': { 'interconnect_kw': 150e3 @@ -474,13 +475,14 @@ def test_hybrid_user_instantiated(site): # Run user-instantiated detailed PV plant, grid and respective financial models + config = DetailedPVConfig.from_dict({ + 'system_capacity_kw': system_capacity_kw, + 'layout_params': layout_params, + 'fin_model': Singleowner.default('FlatPlatePVSingleOwner'), + }) detailed_pvplant = DetailedPVPlant( site=site, - config={ - 'system_capacity_kw': system_capacity_kw, - 'layout_params': layout_params, - 'fin_model': Singleowner.default('FlatPlatePVSingleOwner'), - } + config=config ) grid_source = Grid( diff --git a/tests/hopp/test_layout.py b/tests/hopp/test_layout.py index 419e72551..13601217f 100644 --- a/tests/hopp/test_layout.py +++ b/tests/hopp/test_layout.py @@ -10,11 +10,11 @@ from shapely.geometry import Point, MultiLineString from hopp.simulation.technologies.wind_source import WindPlant -from hopp.simulation.technologies.pv_source import PVPlant +from hopp.simulation.technologies.pv_source import PVPlant, PVConfig from hopp.simulation.technologies.layout.hybrid_layout import HybridLayout, WindBoundaryGridParameters, PVGridParameters, get_flicker_loss_multiplier from hopp.simulation.technologies.layout.wind_layout_tools import create_grid from hopp.simulation.technologies.layout.pv_design_utils import size_electrical_parameters, find_modules_per_string -from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant +from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant, DetailedPVConfig from tests.hopp.utils import create_default_site_info @@ -88,7 +88,8 @@ def test_wind_layout(site): def test_solar_layout(site): - solar_model = PVPlant(site, technology['pv']) + config = PVConfig.from_dict(technology['pv']) + solar_model = PVPlant(site, config=config) solar_region, buffer_region = solar_model.layout.solar_region.bounds, solar_model.layout.buffer_region.bounds expected_solar_region = (358.026, 451.623, 539.019, 632.617) @@ -100,9 +101,10 @@ def test_solar_layout(site): def test_hybrid_layout(site): + config = PVConfig.from_dict(technology['pv']) power_sources = { 'wind': WindPlant(site, technology['wind']), - 'pv': PVPlant(site, technology['pv']) + 'pv': PVPlant(site, config=config) } layout = HybridLayout(site, power_sources) @@ -119,9 +121,10 @@ def test_hybrid_layout(site): def test_hybrid_layout_rotated_array(site): + config = PVConfig.from_dict(technology['pv']) power_sources = { 'wind': WindPlant(site, technology['wind']), - 'pv': PVPlant(site, technology['pv']) + 'pv': PVPlant(site, config=config) } layout = HybridLayout(site, power_sources) @@ -188,9 +191,10 @@ def test_hybrid_layout_wind_only(site): def test_hybrid_layout_solar_only(site): + config = PVConfig.from_dict(technology['pv']) power_sources = { # 'wind': WindPlant(site, technology['wind']), - 'pv': PVPlant(site, technology['pv']) + 'pv': PVPlant(site, config=config) } layout = HybridLayout(site, power_sources) @@ -275,11 +279,10 @@ def test_detailed_pv_properties(site): assert tech_config['inv_snl_paco'] == approx(INV_SNL_PACO_DEFAULT, 1e-3) # Create a detailed PV plant with the pvsamv1_basic_params.json config file + config = DetailedPVConfig.from_dict({'tech_config': tech_config}) detailed_pvplant = DetailedPVPlant( site=site, - config={ - 'tech_config': tech_config, - } + config=config ) # Verify that the detailed PV plant has the same values as in the config file @@ -324,9 +327,7 @@ def verify_defaults(): # Reinstantiate (reset) the detailed PV plant detailed_pvplant = DetailedPVPlant( site=site, - config={ - 'tech_config': tech_config, - } + config=config ) # Modify the number of strings and verify that values update correctly @@ -346,9 +347,7 @@ def verify_defaults(): # Reinstantiate (reset) the detailed PV plant detailed_pvplant = DetailedPVPlant( site=site, - config={ - 'tech_config': tech_config, - } + config=config ) # Modify the modules per string and verify that values update correctly @@ -368,9 +367,7 @@ def verify_defaults(): # Reinstantiate (reset) the detailed PV plant detailed_pvplant = DetailedPVPlant( site=site, - config={ - 'tech_config': tech_config, - } + config=config ) # Change the PV module and verify that values update correctly @@ -420,9 +417,7 @@ def verify_defaults(): # Reinstantiate (reset) the detailed PV plant detailed_pvplant = DetailedPVPlant( site=site, - config={ - 'tech_config': tech_config, - } + config=config ) # Change the inverter and verify that values update correctly @@ -489,11 +484,10 @@ def test_detailed_pv_plant_custom_design(site): tech_config['n_inverters'] = n_inverters # Create a detailed PV plant with the pvsamv1_basic_params.json config file + config = DetailedPVConfig.from_dict({'tech_config': tech_config}) detailed_pvplant = DetailedPVPlant( site=site, - config={ - 'tech_config': tech_config, - } + config=config ) assert detailed_pvplant.system_capacity == pytest.approx(calculated_system_capacity, 1e-3) @@ -512,11 +506,10 @@ def test_detailed_pv_plant_modify_after_init(site): tech_config = json.load(f) # Create a detailed PV plant with the pvsamv1_basic_params.json config file + config = DetailedPVConfig.from_dict({'tech_config': tech_config}) detailed_pvplant = DetailedPVPlant( site=site, - config={ - 'tech_config': tech_config, - } + config=config ) assert detailed_pvplant.system_capacity == pytest.approx(tech_config['system_capacity'], 1e-3) diff --git a/tests/hopp/test_pv_source.py b/tests/hopp/test_pv_source.py index 8a1ba0b56..c7de39a6e 100644 --- a/tests/hopp/test_pv_source.py +++ b/tests/hopp/test_pv_source.py @@ -26,12 +26,16 @@ def test_pv_config_initialization(subtests): with subtests.test("with invalid system_capacity_kw"): with pytest.raises(ValueError): - pv_config = PVConfig(system_capacity_kw=0.0) + PVConfig(system_capacity_kw=0.0) -def test_pv_plant_initialization(site): +def test_pv_plant_initialization(site, subtests): system_capacity_kw = 100.0 - pv_plant = PVPlant(site=site, config={'system_capacity_kw': system_capacity_kw}) + config_data = {'system_capacity_kw': system_capacity_kw} + config = PVConfig.from_dict(config_data) + + pv_plant = PVPlant(site=site, config=config) + assert pv_plant.config_name == "PVWattsSingleOwner" assert pv_plant.name == "PVPlant" assert pv_plant.system_capacity_kw == system_capacity_kw diff --git a/tests/hopp/test_reopt.py b/tests/hopp/test_reopt.py index 149d1feed..105feea3b 100644 --- a/tests/hopp/test_reopt.py +++ b/tests/hopp/test_reopt.py @@ -5,7 +5,7 @@ import PySAM.Singleowner as so import responses -from hopp.simulation.technologies.pv_source import PVPlant +from hopp.simulation.technologies.pv_source import PVPlant, PVConfig from hopp.simulation.technologies.wind_source import WindPlant from hopp.simulation.technologies.reopt import REopt @@ -30,7 +30,8 @@ def test_ReOPT(): load = [1000*(sin(x) + pi)for x in range(0, 8760)] urdb_label = "5ca4d1175457a39b23b3d45e" # https://openei.org/apps/IURDB/rate/view/5ca3d45ab718b30e03405898 - solar_model = PVPlant(site, {'system_capacity_kw': 20000}) + config = PVConfig.from_dict({'system_capacity_kw': 20000}) + solar_model = PVPlant(site, config=config) wind_model = WindPlant(site, {'num_turbines': 10, "turbine_rating_kw": 2000}) wind_model._system_model.Resource.wind_resource_filename = os.path.join( "data", "39.7555_-105.2211_windtoolkit_2012_60min_60m.srw") From 702870da5494244f4e38b9ec94bd96bdf8a5b864 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Thu, 14 Sep 2023 16:39:22 -0700 Subject: [PATCH 11/46] Refactor Grid class --- hopp/simulation/technologies/grid.py | 145 ++++++++++++++++++--------- tests/hopp/test_custom_financial.py | 6 +- tests/hopp/test_hybrid.py | 2 +- 3 files changed, 99 insertions(+), 54 deletions(-) diff --git a/hopp/simulation/technologies/grid.py b/hopp/simulation/technologies/grid.py index 0065d8a96..669415635 100644 --- a/hopp/simulation/technologies/grid.py +++ b/hopp/simulation/technologies/grid.py @@ -1,85 +1,129 @@ -from typing import Sequence, Union, Any +from typing import List, Sequence, Optional, Union +import numpy as np +from attrs import define, field import PySAM.Grid as GridModel import PySAM.Singleowner as Singleowner -from hopp.simulation.technologies.power_source import * +from hopp.simulation.technologies.sites import SiteInfo +from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.dispatch.grid_dispatch import GridDispatch +from hopp.simulation.base import BaseClass +from hopp.simulation.technologies.financial import FinancialModelType +from hopp.type_dec import NDArrayFloat +@define +class GridConfig(BaseClass): + """ + Configuration data class for Grid. + + Args: + interconnect_kw: grid interconnection limit (kW) + fin_model: financial model + """ + interconnect_kw: float + fin_model: Optional[FinancialModelType] = None + + +@define class Grid(PowerSource): - _system_model: GridModel.Grid - _financial_model: Union[Any, Singleowner.Singleowner] + site: SiteInfo + config: dict - def __init__(self, - site: SiteInfo, - grid_config: dict): + grid_config: GridConfig = field(init=False) + + # TODO: figure out if this is the best place for these + missed_load: NDArrayFloat = field(init=False) + missed_load_percentage: float = field(init=False, default=0.) + schedule_curtailed: NDArrayFloat = field(init=False) + schedule_curtailed_percentage: float = field(init=False, default=0.) + total_gen_max_feasible_year1: NDArrayFloat = field(init=False) + + def __attrs_post_init__(self): """ Class that houses the hybrid system performance and financials. Enforces interconnection and curtailment - limits based on PySAM's Grid module + limits based on PySAM's Grid module. - :param site: Power source site information (SiteInfo object) - :param grid_config: dict, with keys ('interconnect_kw', 'fin_model') - where: - 'interconnect_kw' is the interconnection limit [kW] - 'fin_model' is a financial model (optional) + Args: + site: Power source site information + config: dict, used to instantiate a `GridConfig` instance """ system_model = GridModel.default("GenericSystemSingleOwner") + self.grid_config = GridConfig.from_dict(self.config) + - if 'fin_model' in grid_config.keys(): - if isinstance(grid_config['fin_model'], Singleowner.Singleowner): + if self.grid_config.fin_model is not None: + # if 'fin_model' in grid_config.keys(): + if isinstance(self.grid_config.fin_model, Singleowner.Singleowner): financial_model = Singleowner.from_existing(system_model, "GenericSystemSingleOwner") - financial_model.assign(grid_config['fin_model'].export()) + financial_model.assign(self.grid_config.fin_model.export()) else: - financial_model = grid_config['fin_model'] + financial_model = self.grid_config.fin_model else: financial_model = Singleowner.from_existing(system_model, "GenericSystemSingleOwner") financial_model.value("add_om_num_types", 1) - super().__init__("Grid", site, system_model, financial_model) + super().__init__("Grid", self.site, system_model, financial_model) self._system_model.GridLimits.enable_interconnection_limit = 1 - self._system_model.GridLimits.grid_interconnection_limit_kwac = grid_config['interconnect_kw'] - self._dispatch: GridDispatch = None - - # TODO: figure out if this is the best place for these - self.missed_load = [0.] - self.missed_load_percentage = 0.0 - self.schedule_curtailed = [0.] - self.schedule_curtailed_percentage = 0.0 - - def simulate_grid_connection(self, hybrid_size_kw: float, total_gen: list, project_life: int, lifetime_sim: bool, total_gen_max_feasible_year1: list): + self._system_model.GridLimits.grid_interconnection_limit_kwac = self.grid_config.interconnect_kw + self._dispatch = None + + self.missed_load = np.array([0.]) + self.schedule_curtailed = np.array([0.]) + self.total_gen_max_feasible_year1 = np.array([0.]) + + def simulate_grid_connection( + # TODO: update args to use numpy types, once PowerSource is refactored + self, + hybrid_size_kw: float, + total_gen: Union[List[float], NDArrayFloat], + project_life: int, + lifetime_sim: bool, + total_gen_max_feasible_year1: Union[List[float], NDArrayFloat] + ): """ - Sets up and simulates hybrid system grid connection. Additionally, calculates missed load and curtailment (due to schedule) when a desired load is provided. - - :param hybrid_size_kw: ``float``, - Hybrid system capacity [kW] - :param total_gen: ``list``, - Hybrid system generation profile [kWh] - :param project_life: ``int``, - Number of year in the analysis period (execepted project lifetime) [years] - :param lifetime_sim: ``bool``, - For simulation modules which support simulating each year of the project_life, whether or not to do so; otherwise the first year data is repeated - :param total_gen_max_feasible_year1: ``list``, - Maximum generation profile of the hybrid system (for capacity payments) [kWh] + Sets up and simulates hybrid system grid connection. Additionally, + calculates missed load and curtailment (due to schedule) when a + desired load is provided. + + Args: + hybrid_size_kw: Hybrid system capacity [kW] + total_gen: Hybrid system generation profile [kWh] + project_life: Number of year in the analysis period (expected project + lifetime) [years] + lifetime_sim: For simulation modules which support simulating each year of + the project_life, whether or not to do so; otherwise the first year + data is repeated + total_gen_max_feasible_year1: Maximum generation profile of the hybrid + system (for capacity payments) [kWh] + """ if self.site.follow_desired_schedule: # Desired schedule sets the upper bound of the system output, any over generation is curtailed - lifetime_schedule = np.tile([x * 1e3 for x in self.site.desired_schedule], - int(project_life / (len(self.site.desired_schedule) // self.site.n_timesteps))) - self.generation_profile = np.minimum(total_gen, lifetime_schedule) - - self.missed_load = [schedule - gen if gen > 0 else schedule for (schedule, gen) in - zip(lifetime_schedule, self.generation_profile)] + lifetime_schedule: NDArrayFloat = np.tile([ + x * 1e3 for x in self.site.desired_schedule], + int(project_life / (len(self.site.desired_schedule) // self.site.n_timesteps)) + ) + self.generation_profile = list(np.minimum(total_gen, lifetime_schedule)) # TODO: remove list() cast once parent class uses numpy + + self.missed_load = np.array([schedule - gen if gen > 0 else schedule for (schedule, gen) in + zip(lifetime_schedule, self.generation_profile)]) self.missed_load_percentage = sum(self.missed_load)/sum(lifetime_schedule) - self.schedule_curtailed = [gen - schedule if gen > schedule else 0. for (gen, schedule) in - zip(total_gen, lifetime_schedule)] + self.schedule_curtailed = np.array([gen - schedule if gen > schedule else 0. for (gen, schedule) in + zip(total_gen, lifetime_schedule)]) self.schedule_curtailed_percentage = sum(self.schedule_curtailed)/sum(lifetime_schedule) else: - self.generation_profile = total_gen + self.generation_profile = list(total_gen) + + self.total_gen_max_feasible_year1 = np.array(total_gen_max_feasible_year1) self.system_capacity_kw = hybrid_size_kw # TODO: Should this be interconnection limit? - self.gen_max_feasible = np.minimum(total_gen_max_feasible_year1, self.interconnect_kw * self.site.interval / 60) + self.gen_max_feasible = list(np.minimum( # TODO: remove list() cast once parent class uses numpy + total_gen_max_feasible_year1, + self.interconnect_kw * self.site.interval / 60 + )) self.simulate_power(project_life, lifetime_sim) # FIXME: updating capacity credit for reporting only. @@ -89,6 +133,7 @@ def calc_gen_max_feasible_kwh(self, interconnect_kw: float) -> list: """ Calculates the maximum feasible generation profile that could have occurred (year 1) + Args: :param interconnect_kw: Interconnection limit [kW] :return: maximum feasible generation [kWh] diff --git a/tests/hopp/test_custom_financial.py b/tests/hopp/test_custom_financial.py index 4e56502dd..23441b2ff 100644 --- a/tests/hopp/test_custom_financial.py +++ b/tests/hopp/test_custom_financial.py @@ -57,7 +57,7 @@ def test_detailed_pv(site): grid_source = Grid( site=site, - grid_config={ + config={ 'interconnect_kw': interconnect_kw, 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), } @@ -118,7 +118,7 @@ def test_hybrid_simple_pv_with_wind(site): grid_source = Grid( site=site, - grid_config={ + config={ 'interconnect_kw': interconnect_kw, 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), } @@ -204,7 +204,7 @@ def test_hybrid_detailed_pv_with_wind(site): grid_source = Grid( site=site, - grid_config={ + config={ 'interconnect_kw': interconnect_kw, 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), } diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index 9dceacd9d..3bf67ef81 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -487,7 +487,7 @@ def test_hybrid_user_instantiated(site): grid_source = Grid( site=site, - grid_config={ + config={ 'interconnect_kw': interconnect_kw, 'fin_model': Singleowner.default('GenericSystemSingleOwner'), } From d139a70d6b7a9848a09c76f66900403703aecb1c Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Mon, 18 Sep 2023 17:09:17 -0700 Subject: [PATCH 12/46] Add Grid tests --- hopp/simulation/technologies/grid.py | 22 ++--- tests/hopp/test_grid.py | 126 +++++++++++++++++++++++++++ 2 files changed, 137 insertions(+), 11 deletions(-) create mode 100644 tests/hopp/test_grid.py diff --git a/hopp/simulation/technologies/grid.py b/hopp/simulation/technologies/grid.py index 669415635..7e865f861 100644 --- a/hopp/simulation/technologies/grid.py +++ b/hopp/simulation/technologies/grid.py @@ -7,10 +7,10 @@ from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.power_source import PowerSource -from hopp.simulation.technologies.dispatch.grid_dispatch import GridDispatch from hopp.simulation.base import BaseClass from hopp.simulation.technologies.financial import FinancialModelType from hopp.type_dec import NDArrayFloat +from hopp.utilities.validators import gt_zero @define @@ -22,7 +22,7 @@ class GridConfig(BaseClass): interconnect_kw: grid interconnection limit (kW) fin_model: financial model """ - interconnect_kw: float + interconnect_kw: float = field(validator=gt_zero) fin_model: Optional[FinancialModelType] = None @@ -49,25 +49,25 @@ def __attrs_post_init__(self): site: Power source site information config: dict, used to instantiate a `GridConfig` instance """ - system_model = GridModel.default("GenericSystemSingleOwner") + self.system_model = GridModel.default("GenericSystemSingleOwner") self.grid_config = GridConfig.from_dict(self.config) if self.grid_config.fin_model is not None: # if 'fin_model' in grid_config.keys(): if isinstance(self.grid_config.fin_model, Singleowner.Singleowner): - financial_model = Singleowner.from_existing(system_model, "GenericSystemSingleOwner") - financial_model.assign(self.grid_config.fin_model.export()) + self.financial_model = Singleowner.from_existing(self.system_model, "GenericSystemSingleOwner") + self.financial_model.assign(self.grid_config.fin_model.export()) else: - financial_model = self.grid_config.fin_model + self.financial_model = self.grid_config.fin_model else: - financial_model = Singleowner.from_existing(system_model, "GenericSystemSingleOwner") - financial_model.value("add_om_num_types", 1) + self.financial_model = Singleowner.from_existing(self.system_model, "GenericSystemSingleOwner") + self.financial_model.value("add_om_num_types", 1) - super().__init__("Grid", self.site, system_model, financial_model) + super().__init__("Grid", self.site, self.system_model, self.financial_model) - self._system_model.GridLimits.enable_interconnection_limit = 1 - self._system_model.GridLimits.grid_interconnection_limit_kwac = self.grid_config.interconnect_kw + self.system_model.GridLimits.enable_interconnection_limit = 1 + self.system_model.GridLimits.grid_interconnection_limit_kwac = self.grid_config.interconnect_kw self._dispatch = None self.missed_load = np.array([0.]) diff --git a/tests/hopp/test_grid.py b/tests/hopp/test_grid.py new file mode 100644 index 000000000..1dd71073f --- /dev/null +++ b/tests/hopp/test_grid.py @@ -0,0 +1,126 @@ +from unittest.mock import patch, MagicMock + +import pytest +from pytest import fixture +import numpy as np +from numpy.testing import assert_array_equal, assert_approx_equal + +from hopp.simulation.technologies.grid import GridConfig, Grid +from tests.hopp.utils import create_default_site_info + + +interconnect_kw = 10e3 + + +@fixture +def site(): + return create_default_site_info() + + +def test_grid_config_initialization(subtests): + interconnect_kw = 10e3 + + with subtests.test("with valid config"): + grid_config = GridConfig(interconnect_kw) + assert grid_config.interconnect_kw == interconnect_kw + assert grid_config.fin_model is None + + with subtests.test("with invalid interconnect_kw"): + with pytest.raises(ValueError): + grid_config = GridConfig(0.0) + + +def test_grid_initialization(site, subtests): + with subtests.test("initialize attributes"): + grid = Grid(site, config={"interconnect_kw": interconnect_kw}) + + assert_array_equal(grid.missed_load, [0.]) + assert_array_equal(grid.missed_load_percentage, 0.) + assert_array_equal(grid.schedule_curtailed, [0.]) + assert_array_equal(grid.schedule_curtailed_percentage, 0.) + assert_array_equal(grid.total_gen_max_feasible_year1, [0.]) + + with subtests.test("default (SAM) financial model"): + grid = Grid(site, config={"interconnect_kw": interconnect_kw}) + assert grid.financial_model is not None + + with subtests.test("provided SAM financial model"): + config = { + "interconnect_kw": interconnect_kw, + "fin_model": grid.financial_model + } + grid2 = Grid(site, config=config) + assert grid2.financial_model is not None + + with subtests.test("provided custom financial model"): + # We'd typically use CustomFinancialModel, but we can provide a dummy + # for this test for isolation purposes + custom_fin_model = MagicMock() + config = { + "interconnect_kw": interconnect_kw, + "fin_model": custom_fin_model + } + grid = Grid(site, config=config) + assert grid.financial_model is not None + + +# NOTE: simulate_power is a side effect that runs the simulation, so we mock it out +# to maintain isolation +@patch.object(Grid, "simulate_power") +def test_simulate_grid_connection(mock_simulate_power, site, subtests): + project_life = 25 + hybrid_size_kw = 10e3 + # use constant gen profile for simplicity + total_gen = np.repeat([5000], site.n_timesteps * project_life) + lifetime_sim = False + total_gen_max_feasible_year1 = np.repeat([5000], 8760) + + with subtests.test("no desired schedule"): + grid = Grid(site, config={"interconnect_kw": interconnect_kw}) + grid.simulate_grid_connection( + hybrid_size_kw, + total_gen, + project_life, + lifetime_sim, + total_gen_max_feasible_year1 + ) + assert_array_equal(grid.generation_profile, total_gen) + + with subtests.test("update attributes"): + mock_simulate_power.assert_called_with(project_life, lifetime_sim) + assert_array_equal(grid.total_gen_max_feasible_year1, total_gen_max_feasible_year1) + assert grid.system_capacity_kw == hybrid_size_kw + assert_array_equal(grid.gen_max_feasible, total_gen_max_feasible_year1) + assert grid.capacity_credit_percent == 0.0 + + with subtests.test("follow desired schedule: curtailment"): + desired_schedule = np.repeat([3], site.n_timesteps) + site2 = create_default_site_info( + desired_schedule=desired_schedule + ) + grid = Grid(site2, config={"interconnect_kw": interconnect_kw}) + grid.simulate_grid_connection( + hybrid_size_kw, + total_gen, + project_life, + lifetime_sim, + total_gen_max_feasible_year1 + ) + + timesteps = site.n_timesteps * project_life + assert_array_equal( + grid.generation_profile, + np.repeat([3000], timesteps), + "gen profile should be reduced" + ) + + msg = "no load should be missed" + assert_array_equal( + grid.missed_load, + np.repeat([0], timesteps), + msg + ) + assert grid.missed_load_percentage == 0., msg + + assert_array_equal(grid.schedule_curtailed, np.repeat([2000], timesteps)) + assert_approx_equal(grid.schedule_curtailed_percentage, 2/3) From 3578b18d6c8055a15f840b856fa121ebe003bc6b Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Thu, 21 Sep 2023 13:53:37 -0700 Subject: [PATCH 13/46] Update docs to include GridConfig --- docs/hopp/simulation/technologies/grid.rst | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/docs/hopp/simulation/technologies/grid.rst b/docs/hopp/simulation/technologies/grid.rst index 2c5057e4c..9ae9ac048 100644 --- a/docs/hopp/simulation/technologies/grid.rst +++ b/docs/hopp/simulation/technologies/grid.rst @@ -9,3 +9,8 @@ based on PySAM's Grid module .. autoclass:: hopp.simulation.technologies.grid.Grid :members: + + +.. autoclass:: hopp.simulation.technologies.grid.GridConfig + :members: + :undoc-members: From eb4f385be5ee9ad198df8951575e28867f89c62e Mon Sep 17 00:00:00 2001 From: kbrunik Date: Thu, 28 Sep 2023 10:29:40 -0700 Subject: [PATCH 14/46] updated doc string in site info. --- hopp/simulation/technologies/sites/flatirons_site.py | 5 ----- hopp/simulation/technologies/sites/site_info.py | 2 +- 2 files changed, 1 insertion(+), 6 deletions(-) diff --git a/hopp/simulation/technologies/sites/flatirons_site.py b/hopp/simulation/technologies/sites/flatirons_site.py index 768f0bc26..8376bc16a 100644 --- a/hopp/simulation/technologies/sites/flatirons_site.py +++ b/hopp/simulation/technologies/sites/flatirons_site.py @@ -23,9 +23,4 @@ [708.140000000014, 0.0]] }, 'urdb_label': "5ca4d1175457a39b23b3d45e", - 'wind': True, - 'download_wind': True, - 'solar': True, - 'download_solar': True, - 'wave': False } diff --git a/hopp/simulation/technologies/sites/site_info.py b/hopp/simulation/technologies/sites/site_info.py index dc6be7395..82625a4f7 100644 --- a/hopp/simulation/technologies/sites/site_info.py +++ b/hopp/simulation/technologies/sites/site_info.py @@ -54,7 +54,7 @@ class SiteInfo(BaseClass): desired_schedule (:obj:`NDArray`, optional): Absolute desired load profile in MWe. Defaults to []. solar (bool, optional): Whether to set solar data for this site. Defaults to True. wind (bool, optional): Whether to set wind data for this site. Defaults to True. - wave (bool, optional): Whether to set wave data for this site. Defaults to True. + wave (bool, optional): Whether to set wave data for this site. Defaults to False. """ # User provided data: dict From 2282bdd4fb3f54048ce5dff4b0d0cada48a0becb Mon Sep 17 00:00:00 2001 From: kbrunik Date: Thu, 28 Sep 2023 10:34:36 -0700 Subject: [PATCH 15/46] example Jupyter notebooks. --- examples/workshop/01-wind-solar.ipynb | 226 ++++++++++++ examples/workshop/02-wind-solar-api.ipynb | 292 +++++++++++++++ examples/workshop/03-wind-solar-battery.ipynb | 325 ++++++++++++++++ .../workshop/04-load-following-battery.ipynb | 347 +++++++++++++++++ examples/workshop/05-floris-wake-model.ipynb | 264 +++++++++++++ examples/workshop/06-wave-wind.ipynb | 348 ++++++++++++++++++ examples/workshop/inputs/floris/gch.yaml | 232 ++++++++++++ examples/workshop/inputs/floris/nrel_5MW.yaml | 167 +++++++++ .../workshop/inputs/wave/wave_device.yaml | 36 ++ 9 files changed, 2237 insertions(+) create mode 100644 examples/workshop/01-wind-solar.ipynb create mode 100644 examples/workshop/02-wind-solar-api.ipynb create mode 100644 examples/workshop/03-wind-solar-battery.ipynb create mode 100644 examples/workshop/04-load-following-battery.ipynb create mode 100644 examples/workshop/05-floris-wake-model.ipynb create mode 100644 examples/workshop/06-wave-wind.ipynb create mode 100644 examples/workshop/inputs/floris/gch.yaml create mode 100644 examples/workshop/inputs/floris/nrel_5MW.yaml create mode 100644 examples/workshop/inputs/wave/wave_device.yaml diff --git a/examples/workshop/01-wind-solar.ipynb b/examples/workshop/01-wind-solar.ipynb new file mode 100644 index 000000000..c044cb74d --- /dev/null +++ b/examples/workshop/01-wind-solar.ipynb @@ -0,0 +1,226 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Simple Wind and Solar Hybrid Plant Example\n", + "---\n", + "In this example, we will walk through the process of simulating a hybrid renewable energy system using the Hybrid Optimization Performance Platform ([HOPP](https://github.com/NREL/HOPP)) library. We will simulate a hybrid system at a given location consisting of both wind and solar energy, and show how to access the simulation outputs." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Import Required Modules\n", + "We start by importing the necessary modules and setting up our working environment." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-09-28T09.33.37.529683.log\n" + ] + } + ], + "source": [ + "from hopp.simulation.hybrid_simulation import HybridSimulation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set Site Information\n", + "Set wind and solar resource data at plant location. In this example, we use the Flatirons site as an example location." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from hopp import ROOT_DIR\n", + "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", + "\n", + "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", + "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", + "\n", + "\n", + "site = SiteInfo(\n", + " flatirons_site,\n", + " solar_resource_file=DEFAULT_SOLAR_RESOURCE_FILE,\n", + " wind_resource_file=DEFAULT_WIND_RESOURCE_FILE,\n", + " solar=True,\n", + " wind=True,\n", + " wave=False\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define System Capacities\n", + "Specify the capacities of the solar, wind, and interconnection components of the hybrid system in megawatts (MW)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "solar_size_mw = 50\n", + "wind_size_mw = 50\n", + "interconnection_size_mw = 50" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define Technologies Configuration\n", + "Configure the characteristics of each technology in the system, including PV (solar), wind, and grid interconnection." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "technologies = {\n", + " 'pv': {\n", + " 'system_capacity_kw': solar_size_mw * 1000\n", + " },\n", + " 'wind': {\n", + " 'num_turbines': 10,\n", + " 'turbine_rating_kw': 5000\n", + " },\n", + " 'grid': {\n", + " 'interconnect_kw': interconnection_size_mw * 1000\n", + " }\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create the Hybrid Simulation Model\n", + "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant = HybridSimulation(technologies, site)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the Simulation\n", + "Simulate the hybrid renewable energy system for a specified number of years (in this case, 25 years)." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant.simulate(25)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Retrieve and Display Results\n", + "Access the simulation results, including annual energies, capacity factors and net present values (NPVs), and print them to the console." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wind Installed Cost: 72700000.0\n", + "Solar Installed Cost: 48000000.0\n", + "Hybrid Installed Cost: 120700000.0\n", + "Wind NPV: -59123006.66289619\n", + "Solar NPV: -35042037.04939877\n", + "Hybrid NPV: -95616818.72323646\n", + "{\"pv\": 104053614.17593749, \"wind\": 156936144.3525466, \"hybrid\": 250319641.2168857}\n", + "{\"pv\": 23.75653291688071, \"wind\": 35.83016994350379, \"hybrid\": 29.793351430192253}\n", + "{\"pv\": -35042037.04939877, \"wind\": -59123006.66289619, \"hybrid\": -95616818.72323646}\n" + ] + } + ], + "source": [ + "annual_energies = hybrid_plant.annual_energies\n", + "npvs = hybrid_plant.net_present_values\n", + "cf = hybrid_plant.capacity_factors\n", + "\n", + "wind_installed_cost = hybrid_plant.wind.total_installed_cost\n", + "solar_installed_cost = hybrid_plant.pv.total_installed_cost\n", + "hybrid_installed_cost = hybrid_plant.grid.total_installed_cost\n", + "\n", + "print(\"Wind Installed Cost: {}\".format(wind_installed_cost))\n", + "print(\"Solar Installed Cost: {}\".format(solar_installed_cost))\n", + "print(\"Hybrid Installed Cost: {}\".format(hybrid_installed_cost))\n", + "\n", + "print(\"Wind NPV: {}\".format(hybrid_plant.net_present_values.wind))\n", + "print(\"Solar NPV: {}\".format(hybrid_plant.net_present_values.pv))\n", + "print(\"Hybrid NPV: {}\".format(hybrid_plant.net_present_values.hybrid))\n", + "\n", + "print(annual_energies)\n", + "print(cf)\n", + "print(npvs)" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" + }, + "kernelspec": { + "display_name": "Python 3.8.17 ('storage')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/workshop/02-wind-solar-api.ipynb b/examples/workshop/02-wind-solar-api.ipynb new file mode 100644 index 000000000..a0bbf715e --- /dev/null +++ b/examples/workshop/02-wind-solar-api.ipynb @@ -0,0 +1,292 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Simple Wind and Solar Hybrid Plant using API Key Example\n", + "---\n", + "In this example, we will use the NREL API key to download wind and solar resource data at a given location and simulate a hybrid system." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Import Required Modules\n", + "We start by importing the necessary modules and setting up our working environment." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-09-28T09.41.52.276176.log\n" + ] + } + ], + "source": [ + "from hopp.utilities.keys import set_nrel_key_dot_env\n", + "from hopp.simulation.hybrid_simulation import HybridSimulation\n", + "from hopp.simulation.technologies.sites import SiteInfo\n", + "from hopp.simulation.technologies.sites import flatirons_site as sample_site" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set API Key\n", + "To access the Wind Toolkit (wind resource) and NSRDB (solar resource) data, we need to set an API key. You can obtain an API key from the [NREL developer website](https://developer.nrel.gov/signup/).\n", + "\n", + "To set up the `NREL_API_KEY` required for resource downloads, you can create an Environment Variable called `NREL_API_KEY`. Otherwise, you can keep the key in a new file called \".env\" in the root directory of this project.\n", + "\n", + "Create a file \".env\" that contains the single line:\n", + "`NREL_API_KEY=key`" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Set API key using the .env\n", + "set_nrel_key_dot_env()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### (Optional)\n", + "\n", + "This step is if you do not set the API key using a \".env\" file." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from hopp.utilities.keys import set_developer_nrel_gov_key\n", + "\n", + "# Set API key manually if not using the .env\n", + "global NREL_API_KEY\n", + "NREL_API_KEY = os.getenv(\"NREL_API_KEY\") # Set this key manually here if you are not setting it using the .env\n", + "set_developer_nrel_gov_key(NREL_API_KEY) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Retrieve Resource Data\n", + "Obtain the resource data for your location. Set the `site_input_data` dictionary with the desired location, year, and resources used in hybrid plant. The `SiteInfo` will download the resource data using the API key." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "site_input_data = sample_site\n", + "site_input_data['lat'] = 35.2018863\n", + "site_input_data['lon'] = -101.945027\n", + "site_input_data['year'] = 2012\n", + "\n", + "site = SiteInfo(\n", + " site_input_data,\n", + " solar=True,\n", + " wind=True,\n", + " wave=False\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define System Capacities\n", + "Specify the capacities of the solar, wind, and interconnection components of the hybrid system in megawatts (MW)." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "solar_size_mw = 50\n", + "wind_size_mw = 50\n", + "interconnection_size_mw = 50" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define Technologies Configuration\n", + "Configure the characteristics of each technology in the system, including PV (solar), wind, and grid interconnection." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "technologies = {\n", + " 'pv': {\n", + " 'system_capacity_kw': solar_size_mw * 1000\n", + " },\n", + " 'wind': {\n", + " 'num_turbines': 10,\n", + " 'turbine_rating_kw': 5000\n", + " },\n", + " 'grid': {\n", + " 'interconnect_kw': interconnection_size_mw * 1000\n", + " }\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create the Hybrid Simulation Model\n", + "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant = HybridSimulation(technologies, site)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Configure Simulation Parameters\n", + "Modify various parameters for the simulation, such as the system capacity, power purchase agreement (PPA) price, and DC degradation for the PV system." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant.pv.system_capacity_kw = solar_size_mw * 1000\n", + "hybrid_plant.wind.system_capacity_by_num_turbines(wind_size_mw * 1000)\n", + "hybrid_plant.ppa_price = 0.1\n", + "hybrid_plant.pv.dc_degradation = [0] * 25" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the Simulation\n", + "Simulate the hybrid renewable energy system for a specified number of years (in this case, 25 years)." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant.simulate(25)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Retrieve and Display Results\n", + "Access the simulation results, including annual energies, capacity factors and net present values (NPVs), and print them to the console." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wind Installed Cost: 72700000.0\n", + "Solar Installed Cost: 48000000.0\n", + "Hybrid Installed Cost: 120700000.0\n", + "Wind NPV: 54696750.69692759\n", + "Solar NPV: 59878156.04987331\n", + "Hybrid NPV: 104313009.79654434\n", + "{\"pv\": 104053614.17593749, \"wind\": 156936144.3525466, \"hybrid\": 250319641.2168857}\n", + "{\"pv\": 23.75653291688071, \"wind\": 35.83016994350379, \"hybrid\": 29.793351430192253}\n", + "{\"pv\": 59878156.04987331, \"wind\": 54696750.69692759, \"hybrid\": 104313009.79654434}\n" + ] + } + ], + "source": [ + "annual_energies = hybrid_plant.annual_energies\n", + "npvs = hybrid_plant.net_present_values\n", + "cf = hybrid_plant.capacity_factors\n", + "\n", + "wind_installed_cost = hybrid_plant.wind.total_installed_cost\n", + "solar_installed_cost = hybrid_plant.pv.total_installed_cost\n", + "hybrid_installed_cost = hybrid_plant.grid.total_installed_cost\n", + "\n", + "print(\"Wind Installed Cost: {}\".format(wind_installed_cost))\n", + "print(\"Solar Installed Cost: {}\".format(solar_installed_cost))\n", + "print(\"Hybrid Installed Cost: {}\".format(hybrid_installed_cost))\n", + "\n", + "print(\"Wind NPV: {}\".format(hybrid_plant.net_present_values.wind))\n", + "print(\"Solar NPV: {}\".format(hybrid_plant.net_present_values.pv))\n", + "print(\"Hybrid NPV: {}\".format(hybrid_plant.net_present_values.hybrid))\n", + "\n", + "print(annual_energies)\n", + "print(cf)\n", + "print(npvs)" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" + }, + "kernelspec": { + "display_name": "Python 3.8.17 ('storage')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/workshop/03-wind-solar-battery.ipynb b/examples/workshop/03-wind-solar-battery.ipynb new file mode 100644 index 000000000..234726a94 --- /dev/null +++ b/examples/workshop/03-wind-solar-battery.ipynb @@ -0,0 +1,325 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Hybrid Plant with Battery Storage Example\n", + "---\n", + "In this example, we will explore how to simulate a hybrid renewable energy system that includes both wind and solar power sources, along with battery energy storage. The battery uses the default dispatch model,simple dispatch, which uses a profit maximization objective function.\n", + "\n", + "The key aspects we will cover include setting up the simulation environment, configuring the system, running the simulation, and visualizing the results." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Import Required Modules\n", + "Begin by importing the necessary modules for the simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-09-28T09.44.26.745938.log\n" + ] + } + ], + "source": [ + "from hopp.simulation.hybrid_simulation import HybridSimulation\n", + "from hopp.simulation.technologies.dispatch.plot_tools import (\n", + " plot_battery_output, plot_battery_dispatch_error, plot_generation_profile\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set Site Information\n", + "Set wind and solar resource data at plant location and load pricing data. In this example, we use the Flatirons site as an example location." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from hopp import ROOT_DIR\n", + "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", + "\n", + "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", + "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", + "DEFAULT_PRICE_FILE = ROOT_DIR.parent / \"resource_files\" / \"grid\" / \"pricing-data-2015-IronMtn-002_factors.csv\"\n", + "\n", + "site = SiteInfo(\n", + " flatirons_site,\n", + " solar_resource_file=DEFAULT_SOLAR_RESOURCE_FILE,\n", + " wind_resource_file=DEFAULT_WIND_RESOURCE_FILE,\n", + " grid_resource_file=DEFAULT_PRICE_FILE,\n", + " solar=True,\n", + " wind=True,\n", + " wave=False\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define System Capacities\n", + "Define the capacities of the solar, wind, and battery components of the hybrid system in megawatts (MW)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "solar_size_mw = 50\n", + "wind_size_mw = 50\n", + "battery_capacity_mw = 20\n", + "interconnection_size_mw = 50" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Configure Technology Parameters\n", + "Configure the characteristics of each technology in the system, including PV (solar), wind, battery, and grid interconnection." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "technologies = {\n", + " 'pv': {\n", + " 'system_capacity_kw': solar_size_mw * 1000,\n", + " },\n", + " 'wind': {\n", + " 'num_turbines': 10,\n", + " 'turbine_rating_kw': int(wind_size_mw * 1000 / 10)\n", + " },\n", + " 'battery': {\n", + " 'system_capacity_kwh': battery_capacity_mw * 1000,\n", + " 'system_capacity_kw': battery_capacity_mw * 4 * 1000\n", + " },\n", + " 'grid': {\n", + " 'interconnect_kw': interconnection_size_mw * 1000\n", + " }\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create the Hybrid Simulation Model\n", + "Instantiate the `HybridSimulation` class by providing the technology configuration and site information." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant = HybridSimulation(technologies, site)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Configure Simulation Parameters\n", + "Set various parameters for the simulation, including degradation, wake loss, PPA price." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant.pv.dc_degradation = (0,) # Year-over-year degradation\n", + "hybrid_plant.wind.wake_model = 3 # Constant wake loss, layout-independent\n", + "hybrid_plant.wind.value(\"wake_int_loss\", 1) # Percent wake loss\n", + "\n", + "hybrid_plant.pv.system_capacity_kw = solar_size_mw * 1000\n", + "hybrid_plant.wind.system_capacity_by_num_turbines(wind_size_mw * 1000)\n", + "\n", + "# Prices_file contains unitless dispatch factors, so add $/kWh here\n", + "hybrid_plant.ppa_price = 0.04" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the Simulation\n", + "Simulate the hybrid renewable energy system for a specified number of years (in this case, 20 years)." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant.simulate(project_life=20)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Print Simulation Results\n", + "Access and display various simulation results, including annual energies, net present values (NPVs), and total revenues." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Output after losses over gross output: 0.8261022547138311\n", + "Annual Energies:\n", + "{\"pv\": 104053614.17593749, \"wind\": 162107774.07111272, \"battery\": -838364.121782637, \"hybrid\": 256596089.9209246}\n", + "Net Present Values:\n", + "{\"pv\": -6509143.037339628, \"wind\": -12314843.169138618, \"battery\": -32291532.734384965, \"hybrid\": -54454562.42445512}\n", + "Total Revenues:\n", + "{\"pv\": [0.0, 4032912.4476811443, 4073241.5721579557, 4113973.9878795356, 4155113.727758331, 4196664.865035914, 4238631.513686274, 4281017.828823136, 4323828.007111367, 4367066.287182481, 4410736.950054306, 4454844.3195548495, 4499392.762750397, 4544386.690377901, 4589830.55728168, 4635728.862854498, 4682086.151483042, 4728907.012997874, 4776196.083127852, 4823958.0439591305, 4872197.624398721], \"wind\": [0.0, 6375411.079084284, 6439165.189875126, 6503556.841773877, 6568592.410191617, 6634278.334293532, 6700621.117636468, 6767627.328812833, 6835303.60210096, 6903656.638121971, 6972693.204503189, 7042420.136548222, 7112844.337913704, 7183972.781292841, 7255812.50910577, 7328370.634196828, 7401654.340538796, 7475670.883944185, 7550427.592783625, 7625931.868711462, 7702191.187398576], \"battery\": [0.0, 486082.724683247, 490943.5519300794, 495852.9874493803, 500811.5173238741, 505819.6324971128, 510877.828822084, 515986.6071103048, 521146.4731814078, 526357.9379132219, 531621.517292354, 536937.7324652777, 542307.1097899305, 547730.1808878297, 553207.4826967081, 558739.5575236751, 564326.9530989119, 569970.2226299011, 575669.9248562, 581426.6241047621, 587240.8903458096], \"hybrid\": [0.0, 10314302.884732984, 10417445.913580313, 10521620.372716116, 10626836.57644328, 10733104.942207709, 10840435.991629789, 10948840.351546086, 11058328.755061546, 11168912.042612161, 11280601.163038282, 11393407.174668666, 11507341.246415352, 11622414.658879505, 11738638.805468302, 11856025.193522986, 11974585.445458215, 12094331.2999128, 12215274.612911925, 12337427.359041044, 12460801.632631455]}\n" + ] + } + ], + "source": [ + "print(\"Output after losses over gross output:\",\n", + " hybrid_plant.wind.value(\"annual_energy\") / hybrid_plant.wind.value(\"annual_gross_energy\"))\n", + "\n", + "# Save the outputs\n", + "annual_energies = hybrid_plant.annual_energies\n", + "npvs = hybrid_plant.net_present_values\n", + "revs = hybrid_plant.total_revenues\n", + "\n", + "print(\"Annual Energies:\")\n", + "print(annual_energies)\n", + "\n", + "print(\"Net Present Values:\")\n", + "print(npvs)\n", + "\n", + "print(\"Total Revenues:\")\n", + "print(revs)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualize Simulation Results (Optional)\n", + "Optionally, you can visualize the simulation results using plots. Several functions are provided for plotting battery output, generation profiles, and dispatch errors." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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vOPAopUjmbLZ1ZFiwsY1/LNjEzGX1vL0tQSJrg66RdRUlqQQP//UaHvzzVZy2+HkCtsXa2sH87oIfceFN/+SpI06mLWNTWxKmpiSM4yr8BvQuCTG8NsbIuj0Xa6kp8vHQt47f6d/VgUYy0YUQQgghxIHDccC2YccfjpWVhUz0oUMLgfRLLoH33VIthBBCCPFBp59+Otdffz3f/e53eemllzjllFOYOHEiAwcO3GncW2+9hVKKyZMnf+SSJEOHDt0lO31HyZXOzs6dtluWxW9/+1seeeQRVq5cSSqV2qkee319/S7PHwwGGTly5C7bly5dChRqw3/QB7PZP4ojjzxyl229e/cG2Ok69nbeo48+epcPGUTP4Xkea5uTvLGujY2tGSzHZVtnjpzjEfTpuC6UuhZJI4jrKdrCxQTzWWzD5KXDTuCxY85kw+DDCfl1LE/hUwrXU0QDJiPqYmQth1TOJuAzMA2dU0b04itjerOtpYNn3m0nY7nEgiaXHVXDlCMG0Kc03N0vyV7Jf+lCCCGEEKL7NTbCn/8Mf/xjoSHo9dcXtp99NrzwAkyZUijfIoQQQojPtR2B58rKyj2O6d+/P2+++SY333wzM2fO5NFHHwVg2LBh/PznP+ecc84BIB6PA1BXV/eRz1+8h/Jxpmniuu5O277yla/w9NNPM3ToUM477zyqqqrw+Xx0dnbym9/8hnw+v8vzVFVVoWnaLtsTiUTX/g/aUTP949jddewIiL//OvZ2Xl3Xqaio+NjnFt1vY2uSv83byLy1bXRkLEwdfKaOTzeoivroPf81vvHKE4zctIJv3/oYbWhomsZPzrqWZEUNreESNE0jZmooTSdrWVQWBYn6TXK2SzJnM6ZfKQMqIl3nLA75iAZMlOrP5VMscrZL0GdQGfUf0BnoO0gQXQghhBBCdA+lCo1Bf/c7eOyxQgY6wOOPvxdE9/ngC1/ovjkKIYQQ4oAyZ84cAMaNG7fXcSNGjOBf//oXtm2zcOFCnn32Wf7v//6P8847j9raWsaPH9/VMHTbtm37fJ4LFizg6aefZurUqcyYMWOnsi5vvvkmv/nNb3Z73O4C6PBe0Lu5uXmXGuRNTU37aNZ7P+8HeZ5Ha2vrx/oQQnQfz/NoSVnMXtXEA29sYmNrCtdT+AwD3aejxTs5ddELXLBwBnWt7/2bGLl2EQ0DxpK1HZb3GkrIp6NQmJqGoRs4jkfQZzCgMoTreaTzDjUlQfqWRYiFdr3DQ9M0qouDu2w/0EkQXQghhBBCfPb+9jf49a/h7bff23bssYUs9K98pfvmJYQQQogD1urVq3n00UcJBAKcffbZH+kYn8/HMcccwzHHHMPgwYO5+OKLeeaZZxg/fjxjx45F13Vmz56NbdsfuaTLR7Fu3ToApk2btktd9FdfffVjP9+oUaN44oknmDdv3i4fILz++uuffKIf4bwA8+bN68rg32H+/Pk4jrPfzi32nS0dGRZsaGPhpg5efreZ9kweE42w36Au0cKlsx/i1LdnE3IKd0ekgxGePfJkHjv6DDL9BxHTdNJ5l4ztkHc80BSa4ZHJa0SDPo4eUM654/pSXRzENHQifmOPHwj1VAd+rrwQQgghhDj4vPxyIYAeCsHll8PChfD66/C1r0Eg0N2zE0IIIcQBZt68eUydOpV8Ps9111231+znhQsXdpUheb8dGdvBYCELtrq6mi9/+cusW7eOW265ZZfxzc3NnzhIvCNb/LXXXttp+4oVK/jVr371sZ/v/PPPR9d1/t//+387NVVNp9P84he/+ERz/CjOPPNMotEof/nLX7o+GABwHIcbb7xxv51XfHLvbxS6tT3Noo3tPLZwC8u2drC+KUXecQn5DNA08g74PI+zFs8i5ORZXdWfX57+X5x/4z+59ytXs626L4mcTd52iPh1SgImhq6hoxH0++hXHuWs0bVcevxADulVTEnYTzRgHnQBdJBMdCGEEEIIsT+5LjzzDPz+93DHHbA9m4lrril8//WvQ2lp985RCCGEEJ+JUCjE8uXLu77fnbVr13LzzTcDhcaczc3NzJ8/n2XLlmEYBj/96U+56aab9nqe+++/nz/+8Y9MmDCBQYMGUVxczDvvvMPMmTMpKyvj61//etfY3//+9yxfvpxf/OIXzJw5kylTpqCUYvXq1Tz//PM0NTV1lX35OI466iiOOuooHn30URoaGjjmmGPYvHkzTz31FNOmTeNf//rXx3q+Qw45hOuuu45f/vKXjBw5knPPPRfTNHn88ccZOXIky5cv3y91pUtKSvj1r3/NN7/5TY488kjOP/98YrEYM2fOJBAIUFtb2yPqWX9exDMWCzd18G5DnNZ0nnTWZUt7BheoKQnibt3M9157iuJ0nF+cdhU5x2VdcS/+OPUy3qodzps1wwkGDMKGSd+Qj6qiICnLoT6ew9ShT1mY2tIwQ6oiDK+NMbS6iOri4OfivwEJogshhBBCiH2vpQWmT4d77oHNmwvb+vcvNA4FOOKIwpcQQgghPjd0Xeewww7b65j3Z4WHQiFKSkoYNmwYN954I5dccgmDBg360PNccMEF5HI55s2bx/z588nn8/Tu3ZvvfOc7/PCHP6Rv375dYysqKnjzzTe58847+ec//8lvf/tbgsEgAwYM4LrrriMSiezlTHtmGAbPPPMM1113Hc899xwLFixgyJAh3HnnnZx66qkfO4gO8Itf/ILevXtz9913c88991BVVcX555/P1VdfzdNPP73Hpqef1je+8Q1KS0v55S9/yX333UcsFuOMM87g9ttvp1+/fh/pPRH7l1KKVY0Jnl5az5qmFKDwlML1FJ1Zi6M2LOG0V59kzNJXMZSHq+n8dcIFbI5WYLsef59wPkopyDpogKFraIZGXVmQoGlw9MAyhtfGGFwRoaYkRFHQd1Bmm++NppRS3T0J8eklEglisRjxeHy//dAUQgghhNgrpeA//yk0Cn30UbCswvby8kLJlm9/GwYM6N45HiBk7XZwk/dXCCHEZ+nFF1/kpJNO4kc/+hG33377Z3betWvXMmTIEM4991z+8Y9/fGbnFe9RStEQzzF/fRsz3q5nc3sGn6njMwxiVpop82cx6eV/0bd5c9cxbw0YxcNjT+OV4cfh6AY5xyPs0zF0SOddQgGD3iUhxvYrZ2ivIvpVhDmkulCq5WD0UddtkokuhBBCCHEQUUqRyjsksjYAxSHfTnUJd9RIbOzMksg7FAd8VMcC6LqO43rkHQ/LcWlNZqnvSPO9f6zY5Rwbb5u2+5M7Dpx9NjQ2Fh6PG1doFHreebC99qgQQgghPr8sy+KXv/wlADfccAN+/8EZlNtfWlpaKCsr26lRaWdnJ9dffz0AZ5111n45b0dHB+FwmMD7+tZks1muueaa/XpesXue59GSsmhJ5tjUmuHdhk4WbYnTEs8TDBhEfTqdOYeT583k4sd+A0A2EOLVY0/lH+NOZ2VZbxxXYdseSnkY2yuxxLMOPl1naEWUs4/sw9GDyimLBA7KJqGfhATRhRBCCCEOYEop0paL43of2uk+nrVZUR9nVUOSjoyF5XoUBU2G9yrmyH6lKOC1Na28srqRTW05LMfB0HUCPo2yUIBAwCSZybOpI8fW1hSpPfTR6n/djEIgfd06eOAB+OlPwTDA54P/+i9YvboQPB83bv+9MEIIIYTocWzb7irV8sMf/lCC6B/Tgw8+yJ133smUKVOora2loaGB5557jubmZi699FKOPfbY/XLeuXPncvnll3PyySfTt29fWltbefnll9m4cSNTpkzhvPPO2y/nFTtTSrG6Kcn8DW1sbs3QnMrRlrawXQ/DcTj13VfoNIO8PfJYfIbOq0efwolvPc+LY6fy7BFTKKquQAOK0nkSOYdin0FH2kPzFJZyKA35mTyskkvGD+CQXsUSOP8ACaILIYQQQhyg4lmbTW1p2lMWjqcwdY2yqJ9+5RFiId8uY/+zvo13GxI4nsJTHlnLpSmeY01TioWb2snbLos2d9CWttF1rZDFksiRc0AHdK1QkcUB9lTvT/dcJm5YxOxBNzF5w6LCAWPGwOmnFwbccMP+fEmEEEIIIT63jjvuOI488khefPFF2tvbMQyD4cOHc+ONN3LllVfut/MedthhnHTSScybN48nn3wSgMGDB3Prrbfy3//935+LppLdYUcyje24tKYsVmyLM3dNK9mc3bVwr+xsZewLj3HKG09TnmxnXZ+hXD38aBwF+UiUH/33nzANjVzGxk1b1JaFGRYNsK41TTpvU1kUpDziZ2BllGkjqzl+SJW8n3sgQXQhhBBCiANQPGuzfFucdN6hNOzHb+pYjkdjPEcy5zCiLtYVSFdKsbE1xca2NLqm4bgeOdujKOijNOJnW3uGV1Y3k8w6eEDIb+C4im2dOSyvcD4P9hw5B0qyCc59+wUuXDyTvvGm93accgpUVu6vl0EIIYQQQmx31FFH8e9///szP++QIUN45JFHPvPzfl4ppajvyLBoSycbWtO0JQoZ542JLJqm068sTO2S+Ux48VFGL5qL4bkAtBeVseCw4zCVh4OO5RSScAwNSiM+DF3HBPKO4rCaIgZURBhUVcTAyij9ykI7lQkSu5IguhBCCCHEAUYpxaa2NOm8Q00s1LU96DOoiYVoiGfZ3J5mRG0MTdNIWy71nTk8T5HMWbRnHUqCJkp55GxFSzJHe8oikXUwjELt846M1RVA/zC9Oxt5afp3CLiFOuudwSiPjjyJB0Z/kVf+eMX+eAmEEEIIIYT43NjRt2hVY4LnljewcGMnHVkL1/FwNQiYOiiNyiI/0+65lclznug6dsWgUcw84WxeOuRYSkqi2HkH1/EwjEIme9bWqCsJckTvEorDfoqCJiN7lzCoMiJZ5x+DBNGFEEIIIT7EB+uSh306Gdvb4+NP23wnbbm0pyxKw7uvE1oa9tOWtEhbLtGAieN6dGYs1rWk2dSawvEUugamruEpaM/YpC2HnOvh2R6pXKFky54EHItDm9azuG4YAFtj1ayu6AvA38dM4+nhE8j5pFGoEEIIIYQQn4bneaxvTTN/fRvPv9PI8m1xOrMOyiu0HAr5dYa3b6MjXExzMIbf1Fky4liOfeM53jz2FF6e8mUWFfch5DdQeQe/z6DM1AsJM45H3vGoLPIzrCbGgOoi+pWH6Vu2a2lI8eEkiC6EEEIIsRcfrEuet13yrovfNAiaBjnHxXJcAoZBwGfstW75Dh/WLNRxPRxP4Td3nxniM3QcT+G4hVTyjOWyoS3DhpYUiZxNyG+Qtz06shaZvIvtKlzHw1Pg7uVae3c2cuGSZzn37RfwuzbHXPk3UoEwaBoXnvc/xINRkAZDQgghhBBCfGKu67K+JcWb69t4e0uctS1JtrSnSeQ8HA80IKAcTnznTS5cNIOjNy/jr1Mu5P9OuJBk1mbekHGsvuMp2vxhamJBwvEcluNhalAUMElbDiVBH6GAydDqCCcO68WAygg+0/jUyT6fZxJEF0IIIYTYgw/WJbdcj83taVqSFpVFAXqXhWhO5GlJ5qks8nNIr2L8hs7mlgSvrW4mFvLTuyzEsQNK8fv9Xc/5Yc1CTUPH1DUsxyPo27U2oeW42K5HOu9g6BrNiQzJXJ686+F6CstySdkOOdsllXdxVWExvrvqLZrymLBhMRcteoYp695C314YfWtxJf076lnea3Bh3qGi/fIaCyGEEEII8XmglGLRpg4eWbCJN9a20ZrO47jgbO9LZAJV6XbOXzKLC5Y8S3WqHQBX0ylOtGEakHNcUq6fiooSzGzhbtOyiJ94xqIoYOIpRTRkMqg8yqg+JRzZr5TYHu5uFR+PBNGFEEIIIXbjg3XJlVJs7cjguDC0uoiWZI6V9QmCPmP74zzNiRwNnRlmLmukPpEDpQj7TXqXhLjouH4cP6TqIzULjfgNyqJ+GuO5nWqiKxStqTxvb+7A8TTaUjkMQ6ctmSOTU+go4hmLjFUoLWO9r1Ho7nqGHrn1He6ceRcDOhq6tr3SfzT3j5nGS4PG4enSXEgIIYQQ+04wGGT+/Pld3wvxeeB5HmubU7z0TiOPL6mnvj1D3lWFBfr7ksL/59n/48vLX8K3vVFoa7iEf46eyj/GnEJzrIoyn0nWckjlHRzXoyTsI2e5pCyH2pIQR/Qtoa4kTG1JkLrSMNGAKVnn+5AE0YUQQgghduODdcmztks8Y1McKiyf/D6dTW1phlYXA1AcMpm3toXX17aRtV1iIRNTB0M3WNea5v89v4pNbRkGVxXttVnoYTXFZGyPkrCfpniO9S1JioI+PA82taf4z/p2WpI5Aj6DSKBwO2ZzMkdHyiLneljby7xYu4uaA0E711XPvKG4gr6dTSQCEf414kTuHzONDWV1+/FVFT2ZYXz6D1Vuuukmfvazn+2D2QghhOiJDMNg3Lhx3T0NIfa7HY1CF2/u4KWVTazY3MnG9gzxrAsa6BpEVJ6UFkDbHk/3NA2f57KwbnghqeXQ48kbJrpWiLU7rkfIZ1ASNklmHUxTpzrqZ2SfGEcNrKBfeUTKtexHEkQXQgghhNiND9Yldz2FoxQ+o/DYQMN2FV0N7T2X+evbSVsOfcujKKVwPI+ioI+yaJA1zQmeWryNG6cN2+35SsN+NrdmSOdd2tN5muI5mhI5MpaDQtGWsmlL5olnLdDB8RRZy8ZTipakTUfGwgBKIn4y+Z0rn/sdmy+ueo2LFs0gHoxy2Tk3A1BfXMXXv3ITC3ofRtZfCKzr7L7sixBKKfr160f//v0/0bGvvPLKvp+UEEIIIcQBRClFQzzH/A1tvPRuE0s2txPPuXiui+UU1tkDW7dy4eIZfHn5S1x8/v+wtNdQFPCHY87hgdHTWFk9EE0Dn66htt9PamganqcIhXwMKI9QVxZmWHUxh9XFGFQZQdd330tJ7DsSRBdCCCGE2I0P1iU3dA1T07Bdj4Bp4KLwGRre9ojzqqYU8ZxNyfbMdaUKC94deSBlYT+taYtVzWnGDQjtcr6847GiIYGq9+jM2DR05sg7LrpeOIfPUKxrSdGRdXbq7akBkYCB54FugLW9gagG1CWauWDxs5z39vNUZOKF8xg+SjNx8rEYjgOvDzwSAJ8OAZ9GSdBka9zeHy+pOAh8/etf/8SZ5PLHnRBCCMuy+M1vfgPA1Vdf3dUzRoieTClFKu+wrSPN21sTLN7cwcr6BA2JLJbjEjBN8FyOX/U6X1s0kxM2Lek6dtq7r7K011AAtpT0QmP73w8KPFVIUXcAU1eUhn2M6V/GiYdUcWhdjJpYULLOP0MSRBdCCCHEQUspRdpycVwP09A/1u2NH6xLHvIZxMK+7U1FDSzbo7o4SN5xAR+tKQvXU/j1Qt1Dy/Hw+fTC4tdThH06za6iLW3tdp6rm5JsbE0T8RukLJdgwKA45GNzR4amRBbP9WjNOEBhAeczwPEKX4msiwa4XqHZ0Oht7/Kt/zzGiWvnY6hClL++qIKHjjiFRw+fSjwcI6zplEQKHw64nkLXNUpCJtVFIXLpNlqdD3+NLjgs8hHfCSGEEEIIsG2bH/3oRwBceeWVEkQXPZrruqxoSLBsS5xl9XE2taZoz9ikcg6O62J7EPIcLnz1H5z91kx6xVsKx2k6sweN44HRX+TNwaPRNVBuoaSLAgxA0wrrfEOHWNBgdN9SThtVx1EDyiV43k0kiC6EEEKIg1I8a7OpLU17ysLxFKauURb107csjGnoHxpY1zSNfuURkjmHhniW0rCfyqIgHRmL1U1JKosCDKuIsLUjy7JtneQdF02DzqyNz/Lw8Ai5PizbQ9PAth1MAwx913NlbIeVDXGU8tA0E53tt4J2ZklmbTJZm/j7ipwrBfb2DPigqZF1Cvt8OigPhrZs4uQ1bwLwRr/DeXDMacwafDS2bnRlt5SEfFQXB6koChAwdUrDfmpLQpRF/AztFeHPr23+0Nd41CH9P+7bInqwbDaLaX7yPx8+7fFCCCGEEAcCpRQLN7Xz5OKtLNkSpzWZI2d7GDqE/CZ5x8N1wcbDQO8KoLeHinlk1Mk8dMSpNJVW46lCwNzcvkDfvqRH0yDs14kGTEbUFXPWmD6MH1xBUdAnwfNuJKtYIYQQQhx04lmb5dvipPMOpWE/flPHcjzWt6RYuqWT0oifoGl0Bdb7lUeIhXzArtnrI2qL2dSe6QrGVxcFKY348BkGuqZRFDQJGBq1sQCxkI+2VJ5oUMN1FY5nEzQL41qSFjXFQepiATa0puhVHMRvGtiux4aWNPGsjQI6sxb1nVkSOYdM3sbzPFIf6BKqKATLAYa0rOeCBTNYVDuUp8ecTFnUx4tHTGFI+xYeGXUKGyv7oAEBA4oMjUROEQlqlEd8lBUFOKJPKUf0KaFfRYSw38A0dKa5Fcx8u5FtiV2z5nfoHfNz5sjq/fMGigNSIBDo1uOFEEIIIbrLeyVbssxe2cTMZQ00J7LkXVUodK6BP5/nC289xxfencf3L7gZGx1LN/jtiZeia/DiocfTbBk4gOYVElsUYLuFb0I+GFwe4bDepQztFWFMn1JG9i7ZJ83dxacnQXQhhBBCHFSUUmxqS5POO9TE3qs97niKVM6lvjOHz9ToXRrCdhSN8RzJnMOIuhgAG1tT1HfmyDseAVOntiRIv/IIAyujXYH1sE8nY3vYjsuqpiRFAQO/aZKxPGYua6AjbRPwaZhKw/M88rbCNDTKiwJs7sxTHvZoS1mUR/0UB30UBczCwtxy0ZSiLZkn53rYjsJxvV0afRquzamrXufCxTM4aus7ABy59R1eOGoqKIiWxfj/TvoGtltoFGroEA6YOB5UFGlMHlrFqH5ljOodo3dZmGjA/EBWi8nF4/tz90trSVm7thmN+nUuOq4/odCutd3Fwe3ee+9lypQp9OvXr7un8qEeeOABXn31VRYuXMiyZcuwLIt7772XSy+9dLfjE4kEN998M4899hiNjY3U1NRwzjnncNNNNxGNRj/byQshhBDigOB5Hmubk8xb28o7jQnq27Osb04V/lbwG5hKUdu2la8seIazlrxAcS4FwOSVrzNz2HhcD2YefiKGoWPoGmHNIW+7XXeVokHE1KgtDXHa4bWcPqqW8qLQxypDKT4bEkQXQgghxEElbbm0pyxKw+/V2FRK0RjPkrFc+pWHyeVd8o5H2GdSEwtR35lh4cYOOjN5tsWz+PTCItdTsKUjQ1Miz9EDy7uahgJEAzopIGd5BH0mWzuy1MRC9C0Ps7k9g+0p8rZC16E45GNIVZRexUFSOZuxfUtI5l0Cps6Q6ihb2jP4DYNMPo/tKDQdApqB49rvLbCBXolWLlj6HF9d+hyV6U4AbN3g+aHH8cCYaYzuU0raUjTEs0RDJo4Dug4+XcM0DcoCJscMKOVLY/vQrzzalX2/O9+aOASAv8/bSFvGxtteN70i4uOi4/p37RefL5dffnmh1FG/fkyePLnrq66urruntouf/vSnbNq0iYqKCmpqati0adMex6bTaSZOnMiSJUs4+eSTueCCC1i8eDF33nknc+fO5ZVXXiEYDH6GsxdCCCFEd9vSkeHfi7fy3PIGGuM5LFfhOi6OB1EfHPn2m1zw1jOMX7fwvWNKa3h4zKnMHzAKU9fR0LA9D93QupJbAj4o9ZvUlUYYUhVhTN9SjhtUQV1ZRALnBzAJogshhBDioOK4Ho6n8Jt617as7RLP2BSHTExdx1EOrqvAB6m8Q3vGYuHGdrKWRzRoUlkUoFdxCNPQSGQd3m1IUBQyOWZA+U4LW8f1sF2PRM5mQ2uK1c0J2tM2Eb+Bo8DzQCmPsGmQtRy2tGcwDY2q4gBDq2OFbR0Z0nmH6liADa1p0raD3zBwPA/HK9Q/1wEXuOXFe5i6vdZ5U7SMh0adwqOjptJQVE5F2ODr/UrJu4p1rT6Cpsno3sX4TYOk5ZK1XQaUhRjdv+IjNyP61sQhXHxUb/69rImmeJ7qWIAzR1ZLBvrn2FVXXcWcOXNYtmwZ9957L/fddx8AgwYNYvLkyUyZMoVJkyZRXd39pX6mT5/OkCFD6NevH7fddhvXX3/9HsfecccdLFmyhB//+MfcdtttXduvu+46br/9du666669Hi+EEEKIns/zPFpSFumcxbsNSV5+t4lFWzpJ52wCpoFpKJKuwvE8+tav57f/uKVwHBqvDxnLI+NO5z+HHEXWUfgMDdfxCPl1THQ8T5FzFQGfweCKGFNH9mLi0ErKokHJOu8helwQ/bLLLvvUz3HWWWdxxhln7IPZCCGEEOJAYxo6pq5hOR5BX6F+oOspHKXwGTq262FqGoahkco7rG1O0hTP0ZTIUxHxU1kUIG25bOvM0qc0RGVRgPpOl1X1SUbUxigKvpe9beiF51i0qZ13GpIkMjaGoePTdTKWRyJnYSvIWjkSeQtD0zANHb+hU9+Zo7IoyNb2DIahYbmK4rCP9jYLy/Eozmf42sJZvNB/HFtLq/EruH/0NGK5FPePOY2XhxyDbZh4QCygccqIWurKiwiYOscMqgQNLLvwgUKVrlFe5KdvWWSv2ee7EwqFOP+o/vvwHRI92f/+7/8C0NHRwdy5c5k9ezZz5sxh+fLlrF27lunTpwMwbNiwriz1SZMmUV5e/pnP9Qtf+MJHGqeUYvr06USjUW688cad9t1444387ne/Y/r06RJEF0IIIQ5SSilWNSZ4bW0Ly7fG2dCaKpR8tFyUp/CbBmOaV9OvYT2PHXEytuuxonIgLw8ex8aKPvxr3Gk0V9bhegrlQdCvUxQwSOY9POUR8hlURf3UlkYYN7CUEw+ppq40LIHzHqbHBdF3ZLt8Upqm0b9/fwmiCyGEEAepiN+gLOqnMZ7rqolu6BqmpmG7HsmcTUVRgKCps3xbgvWtKZI5h/Z0nojfpCNtURL2k7Fd2lIWdaUGJWE/zckciaxNUdCH53msb02zrjnFyoY489a0krVdogGTrG3TkS/UM7e3zynvgZv3UB74zMLzVhUFsVyXtqRDW8pC12FoVRG9G9Zz/KxH+cLCF4hYWWqObeXXJ15GJGCwcsRYLhwwmveVUKRXsY/vf2EoXxzVu6tme8Rf+PDg/Q1SJcNF7EulpaWcddZZnHXWWQC0t7czZ86crqD6O++8w8qVK/nDH/6AruvYtr33J+xGa9asob6+nqlTpxKJRHbaF4lEGD9+PLNmzWLLli306dOnm2YphBAHh2AwyOzZs7u+F6K7eJ5HczLPlvYUr6/r4M0NrbQlLBJ5G8/1sD3w53NMXfEqFy6awciGNeRMP7MPOZasGSJvK6487yYA/KaBqQBNYTsuAZ8fv6EzuCLE4XVFjO5XxsDKKDUlIYqCPlmT91A9LogO8P3vf5+rr776Yx+nlGLgwIH7YUZCCCGEOFBomka/8gjJnENDPEtpuLCIDfoNNrVlqCsN0as4RFvKZlVjEk8pPFcRDZiE/DqJvEPeUZRFfCRyNuW2H8txyVku6bzDlvY0r6xuYfGmTtKWSypn05rK4TMMOlybRM7FUbvOy/VAAZoDTYkMpZEA4UAhsK07Doe99TLTXn2CvssWdB2zqbIvDbUDiPg1dDTCAT+VYYXSDfK2R0XUz43TDuHwfpW7fS2igR651BM9UFlZGV/60pf40pe+hGVZPPXUU/z85z9n+fLleN6uzWkPJGvWrAFgyJDd1/kfMmQIs2bNYs2aNXsMoufzefL5fNfjRCKx7ycqhBAHAcMwmDRpUndPQ3yOua7Lmxvambe6hZVNSbZ1ZGhKWHjKxafrKA0Gp1o5Zd6/+dLiWZRkkwBYhsmLh55AwMoTiEZwXBfXA7+h49c1PBR528NvGlQV+RlUVcwXhldx/JDKnfoqiZ6rR/5lVVJSQr9+/bp7GkIIIYQ4QMVCPkbUxdjUlqY9ZeF4iqKASV1pkGjAREexrjlBWypPScRHSdhP3vXIO4rSsJ9E3iaV09BQrG9J0ZTI4ffpvLm+lXUtaTrSNpGAyeDSIAs2tOF44HourmK3AfQd/Aa4LqQtj20dKQIm9C4J8fNbLqRs01oAPN1g+diJvDDxy8yuG0HKcigxNLK2wtAgEgpSEQ1QHvUzeXgVI/tWfEavqhC75zgO//nPf5g9ezazZ8/mjTfeIJ/Po5Ri2LBhTJw4sbunuFfxeByAWCy22/3FxcU7jdudX/3qV9xyyy37fnJCCCGE+NQ8z6MxnuXllc289E4ja1vSZG0Px/VQeKB0TEMnbbmc+e4r/OqJ/w9dFRb122JVPDL6VJ4aewodkRKifhPd9fAZCuUpdF1DAX5dp3dliKMGlnHswAqG1RRTWxKSrPODSI8Lov/hD39g7Nix3Xa8EEIIIXqGWMjHyLrYTiVNXNdjRUOCxVs6eXtrJ4mMja4pepdH6RULsq0jSzJv49N1GhM5EjkbU9cxdOhfHubtrXHq41lCPh9+U2dja4qWpIWua+RthbuX+SgKDUI1TTFy6yrWDzqMnKMoDgdoO+YEAolOFp70JV6b8mUS5dVkbZdetktrPEdFkZ+RdTGqioIYho5SitqSEIf3KZWFufjMeZ7HggULuoLm8+bNI5vNAnDooYdy+eWXM3HiRCZMmEBVVVU3z/azcf311/ODH/yg63EikZDSL0IIsRu2bfOnP/0JgG9+85v4fB+vV4sQH4fneSzZ3ME/3trKG2tbaEzmsd1CSUS/AaZpUJxJEkvFaa3rj1Iu8/uNxNFNFvYfyf1jpjFn8Fg83cBn6Hge+EwN19PQNQgEDHqXRRhRU8yw2mLGDyqnojgkZRQPUj0uiP6tb32rW48XQgghRM+hadpOJU3iWRvPU8RCPgZWRHGURzrnkrcL4e+KqJ/OrE1nOs/alhRB02BgVZiaWJigz+CNdW14yqO+MwtomLpGOueA2nsAHSCaz/Dld+fw1UUzOKRlE9+5/E4CQyYTCZi89fXvY3/rx9RVxxiQzNORsfE8D0+BU13EIb2KCfsNXAXmp2gSKsSn9cUvfpF58+aRSqXQNI2RI0dyxRVXdAXNu6OB6Ke1IwN9T5nmO0qz7ClTHSAQCBAIBPb95IQQ4iBjWRbf+973ALj00ksliC72m42tSf40dx3Pr2iiI+PstFbXgKHb1nLRomc4/d1XWFI3jCsuvg1Ng6ZwGdOufYBUrJSs5eE6LiiFhkJ5Hskc6JpGdSzEcYPKOH1UHYf0KiYaMCVwfpDrcUH0A5lSiieeeIK7776blStXEo/H6dOnD5MmTeLHP/7xLvXYE4kEN998M4899hiNjY3U1NRwzjnncNNNNxGNRrvpKoQQQogDm1Jql4aZ8OFNNJVSbGpLk7FcBlZGydseCmgmT84pHOszdYKGxup4jpztUh4NEPH7KAqaNCfz2I6H7brkHA+fpuEzTNK2g7OXks+DWrdwyeIZnL38JYqsQrZuxhfg8GwTVnmEaNBkc9bP0FiEyqIglUVBsraL6ylaU3n6V4QZURsjs/2WU2kSKrrTc889h67rfOlLX+JnP/sZI0eO7O4pfWo7aqHvqI3+QR9WM10IIYQQ3U8pRSrv0J7M8vjibTyxaBvbOvM7Bc8DjsUXV77GxYtmMLphVdf2WC6FkcmghcPkXY+OaAlBXac4ZKDnQNcgZ7v4TZ3qoiCDq4o4eUQvTpB6558rB10QPZPJ8OCDD7Jy5Uo0TePQQw/lggsuIBQK7fdz//d//ze//vWvqamp4ayzzqK4uJilS5fy5z//mYcffpjXX3+dESNGAJBOp5k4cSJLlizh5JNP5oILLmDx4sXceeedzJ07l1deeUU6VQshhBAfEM/aO9U5N3UNv09HQyNvu13byqJ++pXvnKmdtlzaUxalYT8BUycW9tGSzFNZ5Kclmac1Z1PfmkOnUN884NPJ5m1WNCRY1ZQiFjJwUViuh+eCrYHuuNiuQtMKGS3vL4delolz91O3M37T213bNpTV8tDoabx0zFSmHnsIpT4TU9cpCfvQNMg7Hj5DR9c04nmb8miAfuVRdF0nGtA/s9dZiD0544wzePXVV3nsscd4/PHHGTBgAJMnT2bSpElMnDiR3r17d/cUP7YhQ4ZQW1vLvHnzSKfTRCKRrn3pdJp58+YxYMAAKc8ihBBCHKDeXLiUy/65lcxexpy/5Dl++MrfKc8W7jCzdJNnh43ngdGn8U7/Q3EBv1Yo05KzXBQefsOgMuonFvZTFPQxeXglY/uVUVsSoijok6SWz5mDKoi+YMECTj/9dFpaWqioqCCfz5NIJLjxxhuZMWMGRxxxxH47d2NjI//7v/9Lv379WLp06U63e95111384Ac/4Ne//jV//etfAbjjjjtYsmQJP/7xj7ntttu6xl533XXcfvvt3HXXXVx//fX7bb5CCCFETxPP2izfFieddygN+/GbOh1piwUb2gE4vHcJlUUBLMejMZ4jmXMYURfrCqQ7rofjKfymDhr4DI2GRJbOtIUONCRyNCfyhHwG2bxLxrJJZA2UUrhK4dfA2l5iRSlQGugZDV1TYOiFBkOOjRb04SnoDBVRm2jB1XReGnwUD46exsIhRxANBRg/pALdMPH7NA6tLaI0EqAjbe304UBNSVBKtogDzpNPPolSiiVLljB79mzmzJnDv/71L/7yl7+gaRr9+/dn0qRJXV89IfCsaRpXXHEFP//5z7n11lt3WpvfeuutpFIpbrjhhm6coRBCCCE+yPM8WlIW43/5Es5u9mvKw/RcbKOwls6bfsqzCeqLKnjwiFP5x6iTaY+UogM+DUxNx28UeiE5joflQDSgU1sWZkzfUk48tJpDa/Zc2k0c/DSllPrwYT3D2LFjKS0t5b777qOurg6AefPm8ZWvfIUBAwbw+uuv77dzv/nmmxx77LF89atf5cEHH9xp35o1axg6dCinnXYaTz/9NEopevfuTSKRoLGxcZdsl169elFVVcW6des+8vkTiQSxWIx4PE5xcfE+uy4hhBCiO+0o3WI7LqubUnRmLGpLwl371rUUGntqmqKiKMCgyigahYyQhniWmpIgI2pjaJpGKu/w1oZ2FLCtI8OSLZ00dGbpyFrkbYf2jEPectFQuNuD5IamYegatuthO4VMc78BbN9nuwrPU4yrf5evLZrB2M3LOenbf8bbXht51IblbCmqpLG0iljYxyFVRZw0vIqyoiAB02Bk7xg1sSCapu22TI1ktxy8Dqa1m+d5LF68mJdffpk5c+bw2muvkUwmu4LqkydPZvr06Z/5vKZPn85rr70GwLJly1i0aBHjx49n8ODBABx//PFcccUVQGENPn78eJYuXcrJJ5/MmDFjWLRoEc8//zzjxo1j7ty5H+vO1oPp/RVCiH0pnU53la9NpVI7xUOE+DCe59GUyLFkcyfvNMS5e/b6XcYU51J8ZdlLXLh4Bg8ecSp/OepsoFDKZeL6hbw0+Chc3egabwA+A/w+g1jQpDjkp29ZkJG9Sziidwm9SsL0KwthGMYu5xIHh4+6buuRmeiPPPII559//i7bly5dyqxZs7oC6ADjx4/n/PPP55577tmvcxoyZAh+v5958+aRSCR2etGfeeYZAE488USgEFSvr69n6tSpu/zCiEQijB8/nlmzZrFly5Y9Zu/k83ny+XzX4x0Nj4QQQoiDxftLt6TyDutbUlQWBygO+YkGTLK2SzxjUxwqLGfiaZtsiUvYV3hcGvbTlrRIWy7RgEnEbxDwGTz/Tj1rmpI0xwvPa7kOHpDKuTjeeyVZNMCnK1xP4bjbA+gmeF4hkB6yLL647GXOf+sZhjdv6Jr3F+qX8fKgo0BXvDv4MGpjUY6pK2ZgRYQBFRGCft9uG4N+sAmqED2FrusceeSRHHnkkfzwhz/E8zyeeOIJbrnlFpYvX87GjRu7JYj+2muv8be//W2nbfPmzWPevHldj3cE0SORCHPnzu3qVzR79mxqamq49tpruemmmz6T0pBCCCGE2D3XdZm/oYMX3qln4cZOGhM5WlL2TmOGN6/nokUzOHvFHEJOIV521jtzuoLoedPP80OP3e3zB3w6Q6oijOxdwph+pYzpWyjZIgkt4v165F9ql1xyCQ899BB/+MMfdgqY9+7dm2eeeYYpU6Z0bUun08yePXu/12csLy/ntttu49prr2XYsGGceeaZXTXRX375Za688squDtQf1pxoyJAhzJo1izVr1uwxiP6rX/2KW265Zf9cjBBCCNHNPli6xTQ0TEMnmbVZ15JiUGUUpRSOUvgMHaXAUQ6uq2B7XNpn6DiewrIdmvIOWcthbVOSZVviNKcsbMfDchyUgmTOxf7AvXkKcLc3DHWBHUvomlQr3130FKcunEVRLg1AzvQzd8yJzP7CueSHHcbxOiQyDrWlIS47rj9DehVLY1BxUGtoaOgq7zJ79mzWr38vM6y7Mrfuu+8+7rvvvo88PhaLcdddd3HXXXftv0kJIYQQ4iNRSpHM2cxb28IzSxtYtLmDtpSFpwqNPrcv0/niytf4+ltPMW7bO13Hrqzox/1jpvHEYZP3eo6QAYf1jvGl0b05YUgFJZEA0YAp63SxWz0yiL5o0SKuuOIKDj30UH75y1/y3e9+F4CbbrqJyy67jGeffZZRo0aRz+d59dVXaW9v5+9///t+n9c111xDXV0dV1xxxU6Z78cffzxf/epXMc3tmXLxOMBOddPfb0cW+45xu3P99dfzgx/8oOtxIpHoETUnhRBCiA/jeR7vNsRpTuSoLQkRMHU8pQj7DIJ+g2TOpjGRpSYWxNQKpVYATE3DMN5b8NquR0siw19ea6MxniPvuKxqSJCxFJqhYXsemqaRd1y8PRS384D3t/MM6DqlTo5z5z0OwNbSGh47+nSeGHUSxXXV9C0LUxbxYzseVUUhTjq0F0NrYtuzzKUxqDh4NDU1dQXM58yZ05UkopRC0zRGjRrF5MmTmTx5MhMmTOjm2QohhDhQBAKBrrv1A9vL3wnxfp7nsa4lzfz1bTz/biMrtsZJ5Bwsr7AuN/T3klsAvrhqHuO2vYOtG8waehx/GzONBb0Pg70Ewk2gb1mIs4+s48Kj+1EaDe7vyxIHgR4ZRD/ssMN4/fXXufvuu7n++ut56KGHmD59OpdeeilDhw7l//7v/1i9ejUAU6dO5aqrruLoo4/e7/P6+c9/zv/8z//w85//nAsvvJCSkhKWLFnCNddcw6RJk3jsscc444wz9sm5AoGA/MIRQgjRI3ycWt/xrM3KhgTz17djGjrxjE0s7KO6OEgs7KMlaVEc8hFP29TEghQFTTa2Z3Bcj+riAIH3BdGfX9HA7NXNdGZsXK9QliWdc/EbYJo6KPCZGspThTX2bgLp5Zk45779PLFskjsmX4ZpamyrHcBDX7iQdUNG8cbgI0luX9GP619KXWmYjrSFUjCyd4zD6mKSySIOKldeeSVz5sxh1apVwHtB8xEjRjBp0iQmT57MxIkTKS0t7eaZCiGEOBCZpsm0adO6exriAON5Hs3JPO82JFi8uYMlm9tZ15KhLWPhuapwd6hSjN+0lK8tnsndky9iRUkhkfQvY89kTXkfHjriFFqiZXs9jwn0KQ9y9qg6zh7bm96lEVmri4+sRwbRoVA39KqrruKss87iO9/5DqNHj+a6667jJz/5CY888shnPp8XX3yRm266iWuuuYbrrruua/vxxx/P008/zcCBA7n22ms544wzujLQ95RpvqO++Z4y1YUQQoie4v11zR1PYeoapREflUVBwn5jp6D6jhIuzYkcpqFTWRTA9RQtSYt03qVXLEg67xLPFoLiDR1ZVjYmWFafwPMUtSVB2jMWfUvDrGqI8++lDSRzDjoKxyuUZnGBvAvO9ux1ywVXga5T2AmgFKPrV3HR4hlMW/kqAdfB0k3+etTZEK2iojjIgsuuoSIa5GjlsWRzB7GQj5DPIJ61KY8EOKS2iENrYjvVPBfiYLDjbsvhw4d3ZZpPmjSJ8vLybp6ZEEIIIXoapRSrGxO88E4Tb23sYHNHmnTWIe+6eEpDV4oiK820pS9z4aIZDG7fCkBjUTkrvvAtABbXDWNx3bC9nidkwoCKKGeMquH0UXXUloYleC4+th4bRN+hb9++zJgxg4ceeohrrrmGRx99lOnTp3Pcccd9pvN49tlnAZg8edd6S7169WLYsGEsXryYVCrVVQt9x22vH/RhNdOFEEKInuCDdc39pk572uI/69txXEXvshDFQR9lUT/9ysJsas+QzhfqiHdmLNKWg6nrFIUMklmHZM5mYGWEze0ZVjfGWbGtE9tVDKqMEPEbdGYc3ljXxgvZelqSNh0ZB00HQwNd1/A0Be579RMBlCo0CkWDgJ3njHfncsmiGYxoWtc1ZmmvITw0ZhrpcIQgioqIj4qiAJ5SNHTmGdqrmHPG1lETCwNQHPJJLUVx0Hr44YeZNGkS1dXV3T0VIYQQPZBt2zz44IMAfO1rX8Pnk4SDzyOlFA3xHHNWNfH4om1sa8+Qs108Vbg1NO96DG7ayNcWzeDMZbMJ2zkAUv4QTxw2hYePOJWgCTnnw881flAp00bWMu3wGopDflmji0+sxwfRd/jqV7/K1KlTueaaa5gwYQLf+ta3uO222ygqKvpMzm9ZFgAtLS273d/S0oKu6/h8PoYMGUJtbS3z5s0jnU4TiUS6xqXTaebNm8eAAQOkxrkQQogD0kcpz6KUYlNbmnTeoSYWAiCVd9jWmUXTQKFwPEXYb9DQmWVze4Z01qYkEqAzZdGaytOSzFMU8mGg4fcVmoSWhHwk0lk2tmVI5116lwQxNA3HVaQtG+UqElmXeM7BBQwPPIPCgvx95Vo8CosgY3tTIlfBJUue5caXpwOQN3zMPHQCfx8zjWW9hhIO6gyqiNC3JISLTn1nDp+pc1hdESceWs2hNXL3mPh8OO+887p7CkIIIXowy7L4+te/DsA555wjQfTPoXjWZkV9nJffbWT2ymZakhaGrqE00NHJOS4+1+b+B2+gNFuo1LC2vA9/GzONpw6bQipQSFzRXQiaGjlnD82NgIevOIpx/Uu7ehQK8Wn02P+KFi1axPTp09m8eTN9+/blG9/4BqNHj+bvf/87F154Id/5znd46qmn+N3vfrfP6pDvzfjx4/ntb3/Lr3/9a7785S/vVIrlnnvuYevWrYwfP76rjvkVV1zBz3/+c2699VZuu+22rrG33norqVSKG264Yb/PWQghhPi4dleepSzqp195ZKfSJTsC5gFDJ2M7BE2dhniWrOVQEQ2Sd1wSGZtUyE/Gclm8uYPN7RmiQZOs7REwNHyGjp53CJkG9YksLYkcc1c10diZoSPn4TdgW2eWomBhOZPMOUQCBiG/iesVPtzWtO2Z5go0HUwdHA90z2XihkUYkRCv9B6B5cDjI07k/Lef56lRJzLjyFOJR4qwPY+qgJ/jB5Xx9eMHMqQqyuaOHOm8QyRg0q8shGEY3fFWCCGEEEIIccDbUe+8PZWnI2PTlMiwrjnNOw1J0nmXoE+nKtnOpCUv89AxZ6MU5DUfj4w+hQFtW3lo7Gks6Hc4efe95zQ08BToniJsauiOIg84QJEfpp/dh3FHjJSsc7FPaUqpPX9kc4B6+umn+dKXvkRRURFDhw5lzZo1JBIJnnzyya4GFdlslp/85CfcfffdnH322fz2t7+lqqpqv83JdV2mTJnCK6+8QlVVFWeccQYlJSUsWrSIl19+mVAoxJw5czjqqKOAQsb5+PHjWbp0KSeffDJjxoxh0aJFPP/884wbN465c+cSCoU+8vkTiQSxWIx4PE5xcfH+ukwhhBCfY7srz2I5Hh0Zi0jAZERdoQZ4YVwn89e3Ew2a+HQdv0+nM2tTFvYTMA08T9EQz+I3C81DVzYm2dqZJmAWMs5LQz4iAZN03iGRcWhN50nkLDRteyBcaXiuQmkahq5jauAzDUpDfvKOzZaOPFAIogOFILoG5bkEZy55gQsXz6RvvIm3+wznmqt+S0faQkOjOGhiK4XtFmq8lEUCnDayF2eM6U2f0nC3vfbi4NNT126f5EMjTdNwnI9wv/VBpKe+v0IIsb+l02mi0SgAqVRqpzvzxcFFKcXK+jj/XlrPO41JUhmLnOuhaxq6ppG3HAa9s4hz5j/FCe+8hul5fOeiX/BKvyOwXcWOBby+fUHveaqrx5EG+HQoCfkYVBXl0vEDOOnQanRd785LFj3UR1239cgg+ujRo/E8j9dee42ioiJSqRTjx4/HMAwWLVq009gFCxZwxRVXsGXLFtrb2/frvPL5PHfddRePPvooq1atwrIsqqurmTx5MjfccAPDhw/faXw8Hufmm2/mscceo7GxkZqaGs455xxuuummj12GRhbqQggh9ielFMu2xWnozFIS9uN6CkPXCPkKpVwa4llqSoL0LQ2zvD5BWypPQzxHUdBE1zSaEzmakjmG18SI+E1ytsP6ljQKWN+apKkzT9pyyTsOQb+J43h4nsJyXSzHI+94uB44qrBgVoCpvRfQs1wXn64RC/twHJfWtIumFRbYSsGIhjVctGgGp618haBTyFJPBCO8dMw0XrzkGspKQli2wmfqOK6HAvqUhhk/uIJRfUpkQS72uZ66dttRnnDgwIEf67h33313P83owNRT318hhNjfJIh+8FNK0dCZ5ZG3tvDM4q20pi0UYGgaAZ9OuWcxcf4svjL/aQY1b+o6blG/Efxm8iW83X8kWcvFQ6EUhH0GrlI4roe3PYJZGjU5tFcJE4ZWMGV4Nf3Ko91zseKgcFAH0YuKivjOd77DHXfc0bXtRz/6Effccw+JRGKX8a7rcscdd3D99dd/ltP8TMlCXQghxP6UyjvMXdlMMu+Qs1wcpTC1QtC6VyyEqWukcjbhgEk8a9OrOMi6lhQtSYuKqJ9E1mbJ1k6qi/0MrS6mPp6jOZFlS1uGTW1pdF0nnbNJ5hw0FJYD1vvOr7FTSfOdtmu81yzUoHB7p6MK2wFueuEPXLxoRtcxy6sH8ejYaaw76XSKy2IcWhujd2mIgZURqotD5B2PoM+gMuqX4LnYb3rq2i0UCpHP5xk2bBhf//rXufjii6XJ6G701PdXCCH2NwmiH3yUUqTyDomsTTJns7opyXPLG3h9bTtZxyGw/a5UQ9Mpa9rCP//8X0TzGQAyviAzR03hmfFnsb5mIIls4c41x/VwVWGF7zcMfIZGJGBSXeTn2MEVnDisiuqSiKzXxT7xUddtPbIm+uDBg3nxxRfJZrOEQiGy2SwvvPDCHjNiDMM4qAPoQgghxP7Wns6zviWN36cTC/nwGTq269GStEjnXfpXREhbLmnLobq4UI6sOGiyrjnFmqYEpgHpvM3iTRk6Mw5lER/rW1Ksa0mRzdk4Ljhu4fbM3RV92NMn/uqD+zTon24mrodoCxbu6prfZyTnLZ3Fc8OO5/7Rp7GizyH0Lo9weHWM4pCfyqIAVcUh+lcU7VTXXQixq4aGBh544AHuvfdefvzjH/OTn/yEadOmcdlllzFt2jT5Q1YIIYT4HOlI5XhpZTPLtiaI5yxSOZvWZJ6mZB5XecRMjT6NG1nXayC6qWipqqOxuBLDc3ns6NN57sipdPpC6LqG6SmCPh3bdbHcwh2i1UVBhlYX0b8iwvCaYo7oU0JdaVhqnYtu0SMz0Z966inOPvtsSktLu2qit7e38/jjj3PmmWd29/S6hWS7CCGE2F+UUszf0M5ra1upKwkRMHeuidySzBMLmYT9BmhQFgmwsTXNqsYE65qTtKUtbEfhKYXleBSHTEIBncZOi0TewrIVlreHk39EmvKYsGExlyx6hknr3+LPJ13K/x31ZSwbgppDpZPBragi4tepjoUYWlWEh0ZtSYAj+5fRrzwqAXTxmToY1m5Lly7lL3/5Cw899BAdHR1UVVVx8cUXc9lll3HIIYd09/S61cHw/gohxP4gmeg9n1KKRNbimbfr+ffirWxtz+EpD03XUaqQ4BLuaObLC2dxzqJnCVtZpl77EHlfAHQoj7fRFC7B9BlE/CaKwh2kGdvF8xTKg1jEx7EDyzh9VB3DehXh95lE/IYEz8V+cVCXc4FCrfPp06ezdetW+vTpw2WXXdbVtPPzSBbqQggh9pdU3mHBhjYaEzlSOYeKaHCn/TnHYVNrmpF1JWQdh6Z4nm0dWZqTOdrTeRrjOVqTFu72RbWh0bXAhsL/f9IYeiyb5CvLXuTCJTMZ0NHQtX3GmKnc+uVrSWct+lUW0a8sQk0sSP/yELUlYVKWS8A0GNk7Rk0sKAty8Zk7mNZulmXxxBNP8Ne//pWXXnoJpRTHHnss06dPZ9iwYd09vW5xML2/QgixLzmOwxNPPAHA2WefjWn2yAIJnzs7SrZs68jyxrpWXny3kbe3JsjaLqauURw0MDQYtnYZ58x/mpNWzsPnuQC0R2JcfeH/8E7d0EK5RQ1s2yUa8BEL+9B1Dc/zsF0I+HTqSkKcNrKGEw6poiTs79brFp8PB30QXexMFupCCCH2l86MxVsbOwj5DTa0pslaDkVBH6auk8zZbGxLk8jajO1XwobWDOtbUsTCfuo7s2ztyNCcyGPvZbVhbq9h/nHd8sIfOPftFwk5eQASgQgzx5zES5POor1uEJqu0ZnKc8WEAfQpj5LIOpi6hs/QKS/y07csItnnotscrGu3N954g3PPPZf6+nqeeOIJzjjjjO6eUrc4WN9fIYQQnz+Ll6/ksn+tozNXyBgPALoJjgc+U8PQdQ7bvIKbZvyWQ5o3vndc72E8cuRpzDl8ArbpRwMMXUNDw3JdakvCVEV9lEcDVJeEKQ35GFARYVhNMbUlIUlyEZ+Zg7omuhBCCCE+O6ahY+oafkNnUGWUhniWRMYmaeVpTuQBxYCKCDUlYRrieSzXY21LkkTG/tAAOoD3EQPopuvgGO8tXaJWlpCTZ2Vlf+4fcxrPjJjEwH6V9KsoImZoJLMWhqYxoncph9XGSFsujuthGrrcDirEPmTbNk8++SR//etfefHFF3Fdl6OPPpqhQ4d299SEEEII8TG5rsuG1jSb2zN8+28Lsd63TwFZAAfCOCjlw2fqJIvLGNK8iawZYNbISdx7xBdZXTsIn2miA8r1cAHT1XAVlEZ8jO4bY0y/MkbWlVAR9eMzDVmjiwNajwuiP//88wwePHiPTUT39/FCCCHE503Eb1AW9dMYz1ETCzGoMkJH2mJ1U4qSkInf1CiL+PGUQgFBn8G2jgyNHTnsj/D8H1bKpTbRzNcWP8t5bz/PRefdyrtVhd/hvz/mHP55+Mks7HMYuq5RGvExuDKC319Y3qxN2hxWF2VYdRRN04gGetyyR4gD2pIlS7j33nt56KGHaGtro6qqiquvvprLL7+c4cOHd/f0hBBCHICknMuB7Z2GOP9asIX/bGhnRUNyl/2G53Li2vlctGgG6UCIq7/yExxX0VBexw++cj2v9z0cSktJ5x1QGoYOQZ9OJqewbRdbg9Kwj/GDK5k2qpZDa2JyZ6joMXrcT6tTTz2Vm266iZ/97GfdcrwQQghxIFNK7bOM6/c/V0U0QCJrs64lRdZ26MjYvFsfJ513CBg61bEgaxpTrG9Lksk5eB7kP92FcPzGJVy8eAYnrp2PoQqh9i8tf5lfTCkE0TeX98Ee0BeSCjToXRJCGQadmTzbOvOUREzOHN1b/jgTYh/q6OjgwQcf5N5772XJkiXous6pp57KZZddxmmnnSb/3oQQQuxVPp/n3HPPBQqNReX3RvezbZvFW+O8vaWD51Y00RDP0txp7TSmPN3JeW8/z9cWP0tdsgUASzcJJ+NYsVLMgMHsQ0/AdhVBT2HqGtGgScCnk7c9/D6dsoifEXXFnD2mjnEDKogGTMk6Fz1Kj/tppZT6VP/IpAS8EEKIg1U8a7OpLU17ysLZvngti/rpV/7xa3/v7rkcT9GczJHMOeQsh46MhXI92m2P+ngGV0Ei45CxbfLWR28VuuO3ugICjsVXlzzLhYtnMqh9W9eY1/sezt/HTGPO4KO7thWFdMKhMGPKCgt0y4GNLWlMQ+ewuihnju7NUf3LP9Z1CyH2rqamBtu2GTp0KL/61a+45JJLqK6u7u5pCSGEEOJj2NEodObb2/jXgq1sak/RkXGxFRiAu33cYY1ruWLBk3xx1WsEXAeA9lAxjx5+Eg8ccSod4RghpbCdQlKLz9RQnsLn0+lfFmZwdRE+Q6e2JMyR/UoZUVeMYRjddt1CfBo9LogOcPPNN3PzzTd/omPlUy4hhBAHC8/zaElZ5GwX2/VojGfJWB6lYT9+U8dyPBrjhaD3iLqPfqtkPGuzfFshy7wk5MNViqzl8k59J1nLpV9FhBXb4iQyNp05G8f2UDoYCkxTI2O55D9KHZftdny8rQNoGt95819UpTtI+kM8MWIKfx89jbUVfdGBsF9nUHGAiUMrOGZgJSURH6N7x9A0jZVNKRJZm+KQj2HVUclsEmI/sCwLn8+Hpmncd9993HfffR96jKZprFixYv9PTgghhBAfKp6xWLipg4f+s5F5a1uxnPeC5rDz90due5ez35kDwJKaofx9zDRmDDuBvOnvGqNroJRHzvXwAeVRPxMP6cUZo2upjYUoDvkk61wcFHrcX5cTJkz41P/w+vfvv28mI4QQQnSTLR0ZFmxoY2t7lrzt0ZHNE/DpjB9cRdBXyO4I+gx6xYJsbE3zzrY4I3rHPnQBq5RiU1uadN6hKOhjS3uarR1ZGhM5NrWm8ZTinYYEOdulPWOTsx0iAR852yVju/hcnYBpYjsO7ofc/OVzbU5Z9TrT1r7BD876IYbpw3Z93HfSxdRFTFZNPZtAaYwv6pCxXYrDQfpWhDlleCXBYHCX5xtRV/JpXlIhxEdk2zYrV67s7mkIIYQQ4iNSSpHM2SzZ3MkL7zSyYlsny7YlcRX4DFAu9Omo58LFM1nWawhPHToRgMdHnMiwlo08POoUltUM2eNzO55GxDQYVlPE2aN7M3VEDbGwf7fjheipelwQfc6cOd09BSGEEKJbbenIMPPtBjozNjWxIJoG8ZxNR8rhtTWtHD+kguqiIKm8Q0M8S2siz7qWFJ1Zm7rS0F7Lu6Qtl7ZkHtdTvLqmhVUNCdrSOTqzDum8g65pBH2FWuuW4wEaOcclYOrkbBfX87BdD9MAzQPH27VxaHWyla8ueY4Lls6iKt0BwDtTzmDV2Il05mz6nn41sUiQE3QNn6FTXuSnb9nHL0kjhNj3PO+jl2oSQgghRPfZUbJla3uKV9e28daGdlY1JknkbDL5QumWkHI5Yc1CLlw4gwnrFwKwvHoQTw2fAJpGKhDmhlP+a4/nCAOHVBfRvyLKxEOqmDyskuKQX7LOxUGpxwXRhRBCiM8zz/NYsKGNzozN0OoigEJzT1OnsiLClo4s79THCffTWd+aIWs5REMmmg4BU//Q8i7t6TxrW1KsbU6xbGsnacsBNPymRtRnkMg7dNgu6byDBpi6jqnrKAWmoeG4ioDPwLZdNA2CJuRdRd5RHLt5GRcteoaT17yJub1RaFtxOf858UsEjj0azTU4fkgJXxnbh5zLPmmOKoQQQgghxOfFjozzNU0J3t4aZ+mWTlbUJ2hN5sm5HngKn0+jOB3nS2+/wIWLn6VPvAkAD425A8fw9zGnfaRz6cAdFxzB8Jpi+peHpda5OOhJEF0IIYQ4ACmlSFvuLoHklpTF1vYsNbH3ypkYuoauFRp/VkT9NHZmWR30YbseFdEgecfFp+tEAiZhv0lDPMvm9jQjamNdwWmlFA3xHIs3d1LfmWF9S4q05aAUWI6L5Wp4SuEq8JQilXfRgZJIANPQ0NEp9xukLAfL9vAZOn5NwzB1DNvj8MaVPPzIDV1znt9nBM9OPJv4SdMIF4VoTdqURHyceGg1pmkSlRWKEEIIIYQQH4lSivrOLK+sbuKVlS2825ikI2uTtVw8r1CyRddBaTp52+N/Z/wvU9YtAKAzGOWxw0/i4dFfZH1JzS53ke5OUIP/3HiSlGwRnyvyJ6oQQghxgIlnbTa1pWlPWTiewtQ1SiM+KouCtKXyJPM2vWIBco6D64GuKaJBk86sTVHAJGsr2tIWdSUhABJZh8oiP6HttdJLw37akhapvAPAto4sW9rTrG1Okcg6tCVtNrVl8Js6Yb+BpyDnuHiuwnY9/IaGUjqe55HMWISDfmIhnbDfRAF+3aN80xpGtG9h0bEnk7Vd6gcdyqIBh1Pfqx+vfOErbKkbQtCvE9IMvLzLYXVFnHhoNYfWxLrrZRdCfIjnn3+ewYMHM3DgwG45XgghRM/n9/u59957u74Xn05X8HxNM8++3cTqpjipvIPtKNAoBNAdi9OXv8qbA0fREqtCU/DQEadQmWrn72OmMXP4BHK+ID5Dw4fCcmFHayMTcN53vmIf/OHs/hw3+lC5U1R87mhKqQ9p+yV6gkQiQSwWIx6PU1xc3N3TEUII8QnFszbLt8VJ5x1Kw378pk572mJNUxLHVRQFTd7Y0EbQ1CgK+DFNDQMNw9DIOx5ZyyVrOfQtD9MrFiKVcwn7DQZVRYkGCp+du55ic3uaoM9gXUuaVY0JcpaD4yn6lYdpiud5fX0rhq5RHDRJ5lxc5aFpOp7y0AHbVWgUstI1Tae6OEBAuUxc+QZT5z7OyDWLyQVC3DH9eTrNCI7yKAv7GVgZ4ZBeMYZUhunMFcrCRAIm/cpCcguo+FzpiWs3wzC46aab+NnPftYtx/ckPfH9FUII0XN4nse6lhSvrWnhtTWtrG5K0pa2cL1CiE8Bte2NfG3xTL789ouUZRP8bvz53D3pQpQCz1O4HihNQwHa9i9DL/Q0ChgwrDpCn/IoE4aWM7J3GbUlIYqCPgmei4POR123SSa6EEIIcYBQSrGpLU0671ATK2SRp/IO2zqzaBqo7f8zNVjfkqV/BdSUhDE0jYxVyBFJ5x3Kon6U0kjmHKqKAvSKhboC6ACdGYs1TSk8pYhnbaIBg/Kon3VNKTa0ZrBdj+KQj460RWfaxvZUIcPc8CgO+shYDiFTJxo0cTyP8mQ7Zz0/ky+++Qzl8VYAPF0nM3EK3xhZjtunL6ahEzB1fKbRVZqmrOgzf4mFEJ+CUupT/eEsuTtCCCHEp+N5Hku3xHnhnUYWbGyjviNHImfjuh5KA0NXHLdmIV9bOIOJa99C355Tvq24kqZoGQC6pqGZGsou7PO2f6ntD8J+GNe/nDNH92Zs/zL6lIa75VqFONBIEF0IIYQ4ACilaE7m2dyWoTjoKwSbNGiIZ8laDhXRIDnHYV1zmuriIAqNpngeQ9OoKw3hM3Q2tWboVeLn/HG9aU1Z1HfmqIz6yeYdWpM5lIKwT2Pxlk4akzkqIyGChkYw4AcFJRE/qbxDMm1jahqmXgiWhfwGylNYniLnuCigJOyjPOpnzH9e4Or7bsX0XAAypeVsPvurJC+9nKFjD6VmN81LhRA9180338zNN9/8iY6VzDUhhBCO4zBr1iwApk6dimlKWOrDKKVI5R1WNiaYu7KZN9e10pDMY1kurir0R3I8Dddx+fe9VzO8eUPXsa/2H83fx5zG7EFj0UwDn6ajAT5Tx8bFUwqlIOjTqYj6GVRVxNlH1DK6fwWVUT+6rnffhQtxgJGfVkIIIUQ32tHQc2NrmvrOLBta05RH/ZSG/cTCPhIZm6JgIRDtKUUqZzO0VxG9ikOsakrSnMjhKoXPMOhdFqR/eYRo0Me2jhwrtsZ5avFWOrM2jqcwDI2c5eJ6iljIR2vYRqEYVBWlJOgn5NfpTDskcw6eUsTCPjpSFq5WaC/k1zW0VIpaK0WfAYcypl8pFbVT0e+7ldZRY9l0/qUkv3gG5eVFDC2LEJMAuhAHlQkTJnzqQHj//v33zWSEEEL0SPl8ntNOOw2AVColQfQ9UEqRzNmsaU6ydEsH79YnWNOYoDXjYLseAVPH79Op3LyetVV9MHQdR1csqTuE2kQzj4/8Ag8c8UU2VdShK1AKUIVMdtPUUZ5LxG9SHfMzrDrGCYdUclhtjP7lYSmxKMQeyE8rIYQQopvEszYr6uMs2dRJ2nII+AzytovjKFqSFi3JPJbrUbQ9GJ23C9npAdMg7DcZFzRZ15om5NPRNA2fDisb4yzZ3EFrOs+m1gzNyRyepzB00HUdv2lgGGDmNUrDflpTFnk7weDqKJ1pm03tWVoSeXQdIkGTgM9AKejTsokL3prJKYueZ92Qw9l88b/oWxqmsTTMqnmL6H3EcAZ5CtPQu8q1CCEOLnPmzOnuKQghhBAHNaUUW9vTzFzRwJtrW9nQmiGRLZRX1FQhKcbvOkxc9Crnzn+akVtXcv7X/x9v9x6GocNdJ1zE7Sd+g6w/gLe9RosHGAZoXqFki/KgKBLgiL4xTjmsluOHVFASliavQnyYHh9Ez2QyvP7668ybN4+tW7fS2tpKOBymsrKSkSNHMnHiRAYPHtzd0xRCCCF2Es/aLNvayTsNCTwUtaUhspbDtg6HjkyCw+pipPMurSmLkE8n5DfpyOTxmzp5yyFvOTQl89THM/Qti1AeCbC1I8PSLQk6MnkyeZec46ApjYDPwHJcPE8R0XXQoDProOlZIn4f9fEsrekcOoUslaBfR9PAy9lMXvsfzn9rBkesXtg1996djbQ7eRoTOpGASe3A4V3Z8kIIIYQQQoiPx/M81jQleHTBFuauaqU5nSNve3gKTA10HWoSrZzz1gzOWfI8ZZk4ALZucljzBt6uHYZP1+mMxEADXQNNpxBBBwwNomGD2liY0X1LmTy8itF9S6VRqBAfQ48Nor/xxhvcc889/Otf/yKXy+2xUZGmaQwfPpxvf/vbXHzxxXvtsiqEEELsS0op0paL43o7ZWjvaCDanrZwPcjZLqsbknRmLVJ5h7a0RVMyR0XUTzzn0BTP4CjQUIDG0i2duK6iM2uhgI2tGSKmTtJy6chYeB7kHAfXg7Bfx2cY5F2FTqGmua6B6ykylkdVkUEiq9Ect4iGDErDfpRSnL7kBS6ZdS+VHc0AeJrOhqMnsezMr7HhiGMZ5g/SuyRIXynbIoQQQgghxCfiui5vrGvl4fmbmb+xnfaUgwtogE4hgzyWifM/M+9m8pr5GKoQFW8sruDRI7/Iv488hY5oGbrroWsahq6hoXAU4EHQ1OhVHGREXQlHDSrlyH7lDK6KSq1zIT6BHhdEX7FiBT/84Q+ZNWsWhmEwadIkjj32WMaOHUt1dTVlZWVks1na29tZtWoVb775Ji+//DJXXXUVt9xyCzfeeCNXXnml1N0SQgixX8WzdiFQnrJwPIWpa5RF/fQrj2DoGu0pC03T2NqRAeWR3t4YqCTkx3U9mpJ5MjkHhYbyXNK2wvM80o5DNmuj0HFcD5+p0dyZx6aw2DYofLO9LymeAsfzMLZvsxyXoE/HZxo4rkcq72BqoGkenu2RzhtEgybFPo3KjmZSRSXMPeFM3jrlHE44cSy65XB0kZ+RdSVEA6ZkrgghhBBCCPExOI7DOw0JXl/bxtzVrbxT30ky7+1IGkcHdM/F0Q3wIBUqYnjjOgzl8Ub/UTxw5DTePPRYXMOHvj3r3EBDQ8OHht8srOf7loU5flAFxw+ppE95RNbuQnxKPS6SPGrUKPr168dvfvMbzj//fCoqKvY4duLEiXzzm98EYO7cufz5z3/m2muvJZlM8pOf/OSzmrIQQojPmXjWZvm2OOm8Q2nYj9/UsRyPxniOZM6hT1kY2/WIZy0c1wOlcD2IBX0oFAGfgQaEAz62dKTpTOexXYXtgesVFtbggQaOpXC3n1cBzo5vtkvmXPwGaJqOjsJFw9ANTFMj7DcpcvIc9/pMznzjKV44dhrzTj6P/pUR1pedwd+LIrx73MkklA5o1MezDKiMclhtTMq3CCGEEEII8TE4jsPDb67n/vn1bOtIk7F3WrajAcOa13PRohkcu/ltpl7+B2zDxNJ1fjrtKuqLKmjo1Q/XK3QJ9QNRv0HOddFdRShgUlUUYmRtCWMHlDGufxk1JSEJnAuxj/S4IPof//hHLrnkko+dST5x4kQmTpzITTfdxNatW/fT7IQQQnzeKaXY2JqiLZWnIhrAQ6FpEPQZ1MRCNMSzNMQz2J5HOusQC/rY2JamJFJo5uO4injWBg02t2doTeZwPAj5CpnnsD1QDjutug0N3Pc91rbv9oCcC6ZWONZvgELRp7Wey5c9x4R5MwimkwCEF81izTmXUBoJoEUCrDzxDFJZh7RlEQ346F0WYkRdTMq3CCGEEEII8REopehM53hk/ibum7eJprSzyxifa3Pqqte5aNEMxm17p2v7hA0LeWnw0TguvDlwNI4HfqUI+U08PJSnsB1FLBxgaP8oRw8oY1z/cnqXhSXrXIj9oMcF0S+//PJPdfyQIUMYMmTIPpqNEEKIz7Pd1TxviOdYtKkD21E0J/OYmkZx2EdNcRDd0DB1jbaUhV/XSeQdKooDbO7IkMw6+A0Nyy00E8XziGdyWC6EAwamAboDyt39XNzdtwYBCgF1VxUy2I9f/R8uXfgMx61f1LW/paqO2ZO+xJzjTiOgaRiA3zSoLg6i63l0TXHMoApOGFyBYRj78iUUQgghhBCfI36/n9/+9rdd3x+MXNdlQ2ualQ2dzFrRzBtrm2jN7jquMtXBxYue4fyls6jMdAJg6wazhh7H38dMY37vw7oSY5QCU9cwNA3leQRMjT5lYY4aVMFRA8s4oo80CRVif+txQXQhhBDiQLC7mucBn0FjPEtryqKuNETANLBdj20dWVY3JYkFfRiGRjrnMKgqgqZrtCUtUB4dGYdEziaRc8hYhTrlWbsQGfc8cDSw3J1v+dybHQtutv+/uf3/z1v6PMetX4SnaawZfTyrvnQRnHoKTR052te2EkxbVBQFcJWiI2ORzjsMriri+KGVEkAXQgghhBCfis/n47vf/W53T2O/cByHZ1c0MmNpA8vrO2lOWFjensdXpjv4rzf+AUBTtIyHRp3Cw6Om0lpUzgcPs13wGYqoz6S6NMSYvqWcPqqOw3vHpEmoEJ8RCaILIYQQH9Puap7nbIf5G9voTNsUB000QNc0HNejM2vTksijYtCnLIRShWwSv6HR2Jkn5yoylkPIbxDyGTTEFam8g7e9OahSHo7DLovpPdEAU1Mctm01Fy56ht9P+BodverQNY36S7/BuytGsuqsCwkNG0rvqB9XgafpHDe4nJZkjuZEDtdTxEImxw6q4IShlfQpDe+/F1QIIYQQQogeSinF3JVN/OmVdSzZ2knW3jXxJZrP8OXlL1GaTfC/x38NgHeqB3LvkaezoPdhPD/kGByjEKJ7fy65AgwgFNAZWBbmyAFlnDCkiiP7lRILH5yZ/EIcqHpcEH3gwIGf6DhN01i3bt0+no0QQojPG6UUm9rSpPMONbEQAKm8w8bWNI2dOdKWQ1sqz7bOLBXRAPXxHMmsRdBnsqktTcq2ObS6mKqiIKuakqA8KiJ+lFIETYN03iHoN7A8j4ztYuiFUiye+mg56AE7z5dXv8qFC2dwaMOawsaqKp468vsEfDrHnXIcFUUXYW/Pom/P2Ji6xqCqCJMPqUTToDFeCKKXRvxUFQUku0UIsVuZTIbXX3+defPmsXXrVlpbWwmHw1RWVjJy5EgmTpzI4MGDu3uaQgghDiCu6/Lqq68CcMIJJ/ToOx2VUmxtS/Hb2euYuXwbyfyuY4a2bOTiRTM4e8VsInaOvOHjviNPpzNUDMAtX/jWTuN1dg7AlwR1Rvcr5YzDaxjbv5ySSEDqnQvRTXpcEN3zvE/0w0J9xOCDEEIIsTdpy6U9ZVG6PfMjlXdY15KiLZXDU+DXNTa0ZUhkbTK2i1KKikiAiqhGznHQ4op33DjbOrM0JXLkbIWmKSojATK2S8ZyiQZMDE2Rytk4Lmi62mMt9B36dDZy4eKZnPv2C5TmCo1CLcPHG0dOYdvJpxMwDEbWxehfHsbY/v0H67nv+P1aHJKsFiHEnr3xxhvcc889/Otf/yKXy+1xna1pGsOHD+fb3/42F198McXFxZ/xTIUQQhxocrkckydPBiCVShGJRLp5Rh+P53k0J/Nsac/w8rtNzFrRwMa23E53jJquw9TVb3Dx4hkcvWV51/a1Zb35+5hp5I09r7UVhUz0aBCO7FPGV4/uz4nDq3r0hw1CHCx6XBB948aN3T0FIYQQnxO7axzquB6Op/CbOgpFfWeGpniOrOWwuT1NSzKH5apCINzxyLkujYkcjckcYb9BUdChOWVRUeTD1HV8po6nFMVhH31DEYpDPhzXY2VDkrDPJO05OC4YBvC+QHqhZAsYOijL5um/fZ+SXAqAbbEqnjr2dBZOOQuzVy9sR1FZFODEQ6u7FuCaphEN9LhlgBCiG61YsYIf/vCHzJo1C8MwmDRpEsceeyxjx46lurqasrIystks7e3trFq1ijfffJOXX36Zq666iltuuYUbb7yRK6+8EtOUnz1CCCF6FsdxmLOqhTmrmtnUlqa+I8O2eB7L3bXk4tffeoqfzPlr4ThN5/khx3D/mGm80fdw2EtSaECDuvIgo3uX8qUxvTlmULkEz4U4gMgKVgghhNju/UHzjOXSkszRkbZxPIWhQ9hvEguZ2J5HznZoTVnM39hOazKPUoqWZJ5UzqU07MeyPdDAQCcaMmlO5nFcBQpCfmhPKTw0ArpOZUmQvONhOR5+Q2NrRx6FoiYWJJ6zaE1ZeO9L9CzLJjlj/Ru8cNzpeAq8sJ8nDz+RQzu3sfzMrzJ38FjSNgR8PmKaxhF9iznx0GoOrYl134srhOjxRo0aRb9+/fjNb37D+eefT0VFxR7HTpw4kW9+85sAzJ07lz//+c9ce+21JJNJfvKTn3xWUxZCCCE+FaUUr65u5q+vbWB5fYJM3sYDHLfQ40hHMW7zcmzDZFHdcACeGDGZSxY9zWMjTuThUafQWLzn35c7jK4r4sLx/Tl2QDm9YiEppyjEAUhTB1Gdk1QqxerVq0mn05xwwgndPZ3PVCKRIBaLEY/H5VZZIYT4BOJZm03b64QncjZb27OYhsaQ6iL8ps7m9jT1nTl8eqFZaGsmTzrvsr4pBRr4DZ3mdB7b9gj6dHRNw1Vgux6O6+GhoQNVRX4SeZdUzkJ5YBo65VE/pWEfvYpDtGcsNrdlCfh1wqaBroNlu1geVK5ezlmvP8m0d14h6Fh8/1u/5o0+I7Acl8qwj6tOPoRJw3qRt2waEnk8TxEN+uhXFpIsFiEOMD1x7faXv/yFSy655BNnkq9Zs4atW7d23cZ/MOuJ768QQnwW0uk00WgUOHDLubiuy9qmBK+ubWHOqhZW1CdJWy6aAtMoBM+1dIaz35nDRYtmcEjrJl7vezhfveCXXc+hKQ+lfXggvFeRyXcnDeZrxw6QwLkQ3eSjrtsOikz0jRs3cvXVVzNz5syumumO4wAwb948vvGNb/D73/+eSZMmfSbzeeKJJ/j973/PokWLSKfT1NTUcMwxx3DHHXfQp0+frnGJRIKbb76Zxx57jMbGRmpqajjnnHO46aabun6pCCGE2P/iWZtlWztpT1tE/AbJnI23vSLhivo4nqfwPBfL8tiYyJG3XFJ5i6Tl0ZGzcWyPnOORc1zCAQPD1XBcl4BPw3YLn1X7DUhkHTa2OmRsD49CSRa/7uK4is6szab2DCUhP5qm0AFd1wh5Fqe88wqTXvwng9ev6JrzqtrB5C0bQ9c4vHcJl47vz+RhvQCIBkzKi0Kf+esohDi4XX755Z/q+CFDhjBkyJB9NBshhBBi31FKkchavPROAw/8ZwsrGxJknJ3HmMDQjq2cu+AZzlr2EkVWFoCML8CGslpMz8XRC4krewugR00YUl3EBUf15qzRvfH7pR+RED1Bjw+ib968mWOOOYa2tjbOPPNMGhsbeeONN7r2H3300bS2tvLwww/v9yC6Uopvf/vb/OlPf2LQoEGcf/75FBUVUV9fz9y5c9m0aVNXED2dTjNx4kSWLFnCySefzAUXXMDixYu58847mTt3Lq+88grBYHC/zlcIIUThZ/eK+jjvNCTw6zpbbIf69iyRoIlhaKxtStGSzNPQGqc9BzaF4HeJD3wBH7ntJVhCfg3H03Bsj5SjcJSH62kYmobP56Mjkydt7Xzzl6EVypxbroNmm1iOx//P3n/HWVVfi///a5ezT51zphdg6EXpRcCggICKIoomtljQJCY3N/cmRpOYGGOw/CzhWq43Jp/fTUzsmqI3RrGABdQoFgRELEhvwzD99N3f3z8OjCAzOChF8P18PHgI56yzz3sPsuc966y9lqaoVBQZBDWdHm11/PrmyyhKtwHg6gHePfYklp92HtljxjEqoHNOZRET+5cSCAQO9pdOkiRJkiRJkg57bTmb596r48HXN/DR9uyuY4h2c/WLf+Q7S/7Z/ue1pd15aNQMHh86jVQohkLh54RPt3tQgOKQSr+KGFOPruSMEd3oVhKVleeSdJg57JPoc+bMobW1lZdffpkJEyZw/fXX75ZE13WdiRMn8tprrx3wtfzP//wPf/jDH/jBD37A//zP/+xx6/zO6niAuXPnsnz5cn7+859z6623tj/+i1/8gt/85jfceeedXH311Qd8zZIkSV9FO3ufO67H5pY8r69uQlUVqhNBHF8l53hsS5koiqA5bfPu1tRum2EBtDqA41AS1omFAmhAzvZJm177cKGsXagojwR8TGfPBDoUNtWeAB+fYgN6tdbRvd9QdE2juPZonKI4yVCIpdPPZft5F7JeLWJcnxLG9SkjFtRR9jKcSJIkSZIkSZKkPfm+z/aUybJNrfxz+TYWr2kg9amCl/JsK6YeJBOMAPBedX88ReWl/uN4cNRpvNp7BCgqKoU9PeyeQDcU6F4cYubwbkwbUsmw7sWyxaIkHcYO+57o3bp1Y9KkSfzlL38B4Prrr+eGG27A8z757PDKK6/k3nvvpbW19YCtI5/P0717d0pKSli1atVee0UKIejRowepVIr6+vrdeoBls1mqq6uprKxk7dq1XX5/2XdRkiSpa5J5hw1NGdY0ZNnSmmXt9gzbMxbdEmE0DTQUNjbn2oeJvrmh7TOP2aM4hOm4tGTd9gR6R3QV3MK80cJmWyn0VCy2Mpz7/gtctPw5YtkUc//4PPGSOKbj0a1lG5mqGlotgaZBv4oYM4d3ozgib/uUpMPZodi79e3bl1NPPZXf/e53n/v1n4eiKPu0rz0SyL25JElSx2zb5q677gLg8ssvP6itTIQQpE2Hdze38crHjazcmmRDU4aGtPNJ9bkQjNn6IbOXPs2pq15j7uTZ3DPu6wAYrkN5rpX6eCUBDawdLwoAqlrY13sCNBV6l0aYMbyKU4f3YGBVkSx8kaQvsa9MT/SWlhZ69+691xghBJZlHdB1LFiwgNbWVr71rW/heR5PPvkkH3/8McXFxZx44on079+/PXb16tXU1dUxffr0PYZoRKNRjjvuOObPn8/mzZt366G+K8uydjunVCp1YE5MkiTpCJLMO7y5rplV9Wm2tuVJ5W22tpmkTJvmtEXIUImHAvgIXHzW1HXt2prLmeR2bqI18D3aN+IqtCfWxY7fKDseO7p+HZcsnccZH7xM2C1c07OhKP3q15OtGo2uwvayGrI5j6zlMKJnCZMHVcoEuiRJn0tTU9MXSujunD20rw7zmh1JkiRpPzIMg5/97GcH9T09z2P5pmb+tqSOlVtbaMg4OI5AKALbK2zQw7bJmR8s4uJlTzO4YX37a4fVf/IhsK0HqItXogABTcX3fTwBqgYxQyMRDtC9NMxJg6s5aXA1VfGQbNkiSUeQwz6JXlVVxerVq/ca895779GzZ88Duo533nkHAE3TGD58OB9//HH7c6qqcsUVV3DbbbcBtK+3s8FKAwYMYP78+axevbrTJPott9zC9ddfvz9PQZIk6bC0szWL6/nomkrU0DpM8ggheH9rkuWb2mjL2diOh6ooqAqoikLG9IiFArTmHTKmg+P6tNldW0PWBlfZkRz3aB8aurPifGcSfed/h2/7mGtf/CNjtn7YfozVVb15asKZrJg8k29MGkSJKPRnzAU8FMVheG2cU4fUUBwNfu6vlSRJX22f3qPuqw0bNuy/xUiSJEnSASaE4K11jfzmuVWs3JJi124tChAKgGMLrlp0L998dz5xKwtAXg/yz8GTeXDUDN6v7r/ncYG842NoMLQ6ynH9KxlYHadPeZSjq4v22plAkqTD12H/L/ukk07iwQcfZMWKFQwfPnyP51999VVeeuklfvzjHx/QdTQ0NABwxx13MHr0aN566y2OPvpoli1bxve+9z1uv/12+vXrx7//+7+TTCYBSCQSHR5rZ4XQzriOXH311Vx55ZXtf06lUp0m3CVJkg5nHSXJAbK2R0vWpq4tR97y8AToqkJpzKBXWZREOLDbaxtTJi9+WE9T2iJne+RdH9/3CagKulKoDd/alsPQVJJ5G8/veuWkS+H2TShsqne+UvBJ4lwRPkJR0YGMEWbM1g9xVI0FRx3HI2NmsG7gSGLhACNrSqmMhzB0jXQ0SHPWYlB1nGN6l8gKdEmSvpCf//znfOMb32DhwoVMmTLlUC9HkiRJ+gryPI+lS5cCMHr06P3eI9x1XT7YlmJVfZpFqxpZ+NF2cu7uMTv35Xmn0HKsJt1E3MqyobiGB0fN4O/DTyIVinX6HoYC3UtDnDK0hguP7UX34ohs1yJJXwGHfRL9V7/6FY899hiTJk3iZz/7GWvWrAHg2Wef5fXXX+eOO+6gvLz8gN8u5PuFNIlhGDzxxBN069YNgIkTJ/L3v/+dESNGcPvtt/Pv//7v++X9gsEgwaCsRpQk6ciWzDtsbM7SkrFxfYGuKgQDGgJBS9ZmXWMGxxN0Lw5TWxrB0FS2teVpSFnUFIfImC452yVpunxQl+Sj+jQ9SyI4vk/aEmQtl7TpkjFdVBUc10dDQaHQu7yrAoDF7oOENEBVBceue5eLls4ja4T5+cyfoGiwsayWn864gtf7jaY+UkIkqHJUSYThPUv4Wr9y8o5P2vLQVYX+VTF6lhY+FJAkSfoiWltbOfnkkzn55JM588wzGTt2LFVVVR3+4D979ux9OnYmk+Hjjz8mm80yceLE/bVkSZIk6Qhjmibjxo0DCt87Pt3i9vPyfZ/n3t/GI29sZHVjlmTaxvxUTUxpLsn5787nguXPccm517O2rBYB/P7Yc3h86DRe7TMKX9l7+5XKmM4ZI3ow+2s9qS2LyeS5JH2FHPZJ9N69ezN//nzOP/98rr32WhRFQQjBzJkzEULQs2dPHnvsMWpqag7oOnZWlR9zzDHtCfSdhg4dSt++fVmzZg1tbW3tsZ1Vmu/sb95ZpbokSdJXQTLvsHJrkqzlUhIxMHSVlqzNW+ubEQjioQAhXaWyyCCVd1nfmKU6ESJne3y4rZWs7VIaNahJhHF9gbJjE92UtcnbLm15m6CmAAKBQEXFE4AKqqqgCLFbK5a96VOqsqrFZ8fLKbKynPP+i1yw9Bn6Nm8BwFZ1bpv+PdLBOBaCp0ZMAyCmK4zrU8Kpw7oxrm85PYrDXWpPI0mStK8uvfTS9r3y448/zuOPPw6w2zVGCIGiKF1Oom/YsIHLL7+cZ555pr1nuusWSv5ee+01vvvd7/L73/+eE044Yb+fjyRJkvTV5vs+29pyvPj+Nh5espW1DVlcUWjV0p4/F4JRdau4eNnTnPbRqwS9wveoc1c8zy1Tvg3Ax5V9WFXZZ6/vFQ3AcQMq+d7EvozpXSr355L0FXTYJ9EBxo8fz+rVq3nqqad48803aWlpIR6PM378eGbNmnVQpj0PGjQIgOLi4g6f3/l4Pp9v74XeWS/3z+qZLkmSdKQTQrCxOUvWcqlJhAuPIWjN2UQMDdP1qW8z6VMRJahrVBRpbG7JsbUtR3E4gEKhqrwsFqQla9OQsiiJ6gRUla2tOdKmS85xSISCaIpCKKCRtV08zyOd9/F8UWgPo7Bb78SOJIIKp47qTcPijZRtWs8l7zzJme8vIuqYQKF1y/8NncqjY06D8nLKVci7gh4lIcpjQY7rX8ZJQ7pRWRRsHzwUCx4R354lSfqSuffee/fr8TZt2sSxxx5Lc3Mzs2bNor6+nsWLF7c/P378eJqamnj00UdlEl2SJEnab2zb5p/Lt/LYO1tYsSVF3tv9eQEYrsOsDxZyydKnGbr9k+Ggy2sG8MDomTx91Cd3TRVmJIHvF9o0QqEwxtCgtjTM9MFVnD6iG/2r4vu9/YwkSYePI+andF3XOeusszjrrLMOyfvv7Cv54Ycf7vGc4zisWbOGaDRKRUUF1dXVdOvWjddee41sNrvb7UvZbJbXXnuNPn36yB7nkiQd0XzfpzFjYzoeoYBGRcxoTyJnbY+WjE3JLj3A845HKudQFAqg2R5bW3N4vsB0ClXbGdMmmXeoKgriCQgZGrqqUhwxWLM9TdZ2sF2fpqxJJu/hC0HGzKGrKqoCju/ji8JmWdlRweJ0oS16NFioiK+IhZm5dTkXLn8OgI/LevLwmNOYN3wKIhbH8QXDSsN0L46SsV1G9yrmqOo4w2tLZKsWSZIOiksuuWS/Hm/OnDm0trby8ssvM2HCBK6//vrdkui6rjNx4kRee+21/fq+kiRJ0lePEIJkzuJ/F63hL29vpNXce7yC4OpF91GaT2FpAZ48ejIPjp7BipqBe8RqCgQDKqqiEtYVqhMhjqqJM2N4NRP6VcjEuSRJwBGURD/U+vXrx8knn8yCBQu45557uOyyy9qfu/XWW2lra+Oiiy5qn9J82WWXccMNN3DjjTdy6623tsfeeOONZDIZfvnLXx70c5AkSTpYNrfmeHt9M5tbcmQsF11V6Fka5fgB5dSWRnE9H9cXGPonPQk9T+AKQUBTCQZ8bMdnQ3MWBQXT8WhIW2gqpE0X2/UJaiqaWhj46fmCrck8qbyD8BUCukpIV8g6Hhmr0LAlpEE4oGG7Hq4Pug7CBa+Tc+iXa+LcFc/zYXVfNh31dXRd5c0psxjVsIZHRp3K4tqhFIUNKjRI2YKA51MZD5OxPWpLIozrU0rv8iKZQJck6bA1f/58zjrrLCZMmNBpTK9evXjppZcO4qokSZKkI4lt2zy3chsPLd7Aks2ZDlstqr7HCeve4eTVb3D1Kf+JUFQs3eB3XzsX3Xf527CTaI103i43EtQ4qirO8NoEx/ar4Oiaot3uEpUkSYLDMIl+ww03fK7XKYrCtddeu59Xs7vf//73TJgwge9+97s88cQTHHXUUSxbtoyXXnqJXr168V//9V/tsVdddRX//Oc/+c1vfsOyZcsYPXo0S5cuZcGCBYwdO5Yf//jHB3StkiRJh8rm1hzPrNjG9pRJQFPwfUGb6bGxpYlV29OcO7aWnqVRdFXBdn1CgULlh6Yp6IqC4/lYjk/GcjEdl9rSKNGgBmmwXZ+GjEXGdEmUhgnqGnnbxROF9i+KAjWJMC05m4AKmqriuDaWB0IBQ1fwhYqmQUjXyWKTdz9ZuyoEx215j2+veJZJH7yG5vus6HEUy394CaGAzvJNKg9dPpeUZZNoy2N7Pjmh4Pk+fSsilMYCxMMGpw6tYWBVkeylKEnSIfGPf/yDRx99lI8++ohcLseaNWsA+Oijj3jyySe58MIL6d69+2cep6Wlhd69e+81RgiBZVn7Y9mSJEnSV4QQgrTp8PBra/nDv9Z1WnVenE9x3ooFXLjsWXomtwPwzKDjeKXvGAD+NPbMz3yvkbVxLjq2F8f1K6cqHpKJc0mSOnVQkuivvPIKyWSSU045hUCg44o727aZP38+xcXFTJw4scMYgOuuu26Pxz49DOnTj+8ckHSgk+j9+vVjyZIl/PrXv+a5555jwYIFVFdX8x//8R/8+te/prKysj02Go3y8ssvc9111/H444+zcOFCampq+MlPfsKcOXMIh8MHdK2SJEmHgu/7vL2+me0pk2BAw3I8IkaAorBCWSzImu0Znlq+le9O7EtpzGBbW57iqIHnCVRVIRbS2NCUY01DhqztEQ2qrGvKEgvpmI5HecwgZ7pomkJAVclZLuubstQlTVKmTTQYIGe7FAU1fCBv+/g7ylksF5ozLgII6iA0D01TUVyfYifHOR8u5LwlT9OvcVP7+bzXdziPjT+daWVRjulbTkvOZVtrnlhIo3tJmKa0RSrnkQgF6FdVxLAeJRzTu5Taksgh+fpLkvTV5vs+3/zmN3nssccACIfD5PP59udLSkq45ppr8DyPq6+++jOPV1VV1emMn53ee+89evbs+cUWLkmSJH0lmKbJY0u3sujDRt7c3Ey6k+T58G0fM3vp05z+4SsEPQeAZDDK34afxNqyrrXFLY2onDe2J/82qT/F0eD+OgVJko5gBzyJ/uGHHzJt2jQuueQSTj/99E7jDMPgqaee4r777uO9995rH9T5aQsXLtzjsdtvv50FCxZw8cUXM3HiRKqqqti+fTuvvPIKDz30ENOnT+fKK6/cb+e0N7W1tV0e2pRIJLjzzju58847D/CqJEmSvhwaMzabW3IENAXL8SgOf9Lz3NAUepVH2NKWZ8XWJP0qYry7uY2VdSnCAQ0hBNtTJh/UpQq9z4uDGLqG6/lsT5o4rsAMenQvjYCAjOXyfl2KvOORzrsoFAYEWa6PrmnkLI9W096t77mqgCfAccHRIR7U8D2fOx6by5S1SwDIGSFeGXsyL005m4XBavpXRPlV31IMw+CySX1YsHIbqxuygEKfcp3akgjj+5UxtHvxbn3fJUmSDrY777yTv//973z/+9/n1ltv5Y477uDGG29sf76qqoqJEyfy9NNPdymJftJJJ/Hggw+yYsUKhg8fvsfzr776Ki+99JK8w1KSJOkrSghB1i7ML9I1laihEQgEmDNnDkB7kaVt21z9+DKeeLep01aKOw3f9jFPPvBJfmdlVT8eGHUaTw6ehBkIdfq6iA6RoE5lzOCkwRVcMqEvJbGwvDNUkqQuO+BJ9D/+8Y/ous5NN930mbE33ngjDz30EP/7v//LHXfc0WHM5MmTd/vzPffcw6JFi3jnnXcYMmTIbs/Nnj2byy+/nAkTJjBr1qw9XitJkiQdXKbjkbFcfF8QMfa8Mymoq+iKwobGLK4PRSGdgKbSnLXZ2JKlrsVEUxWKwzqW5bMpl8PQVKriIQKagu35tGQscrZH1nJJmy7RoE4sqJPKaxiaSiwSwFAUWnIWvgca4FMYJBrSFRTXZfJHi1neexh+ZQXRUIAnR5xEr7Z6/m/8TJ4fewrE47TkXIpCGhd9rReGUfgwYHBNgkGVMTa25MlahffuVRqWw4gkSfpSuO+++xg7diy///3vATpMHPTv35+nn366S8f71a9+xWOPPcakSZP42c9+1t4W5tlnn+X111/njjvuoLy8nJ/97Gf77yQkSZKkg6ajJHhXk87JvMPG5iwtGRvXF+iqQkk0QEVRiB9f9UuE7/HW+mYeeWMjz3zY3OlxerTVc1TjRl4YMB6AFdUDWFHdn7WlPXhg9EyWdRsEe1lTkQbH9i9j2pBuDOlWxNHVRe2z6iRJkvbFAb9yvPTSS5xwwglUVVV9ZmxVVRUnnHACL774YpePf9ddd3H++efvkUDfadiwYZx//vnceeedfPvb3+7ycSVJkqR905VNdiigoasKbaZHUVhBCIHjCTwh0BQFy3VRFdiWLLR7GdItgRCCD7alyNohNFWlri1H3hZUFYVAVWhImmxL5kAoaKpKVTxA2nKxbEEiHCAeCTCse5zF65ppStsoAvKeR8Z00TXwfFB9qM63cP4b8zl76XNUpZu5fdLF3H/CNymPBcmfdgaXjJ1KW85FUxSilkf/iigXfa0Xpw3fvW+wpmn0rYgdzC+9JElSl6xZs4b/+I//2GtMWVkZzc2dJzN21bt3b+bPn8/555/Ptddei6IUruszZ85ECEHPnj157LHHqKmp2R/LPyjefvtt5syZw+uvv47jOAwbNowrr7ySc88991AvTZIk6aDqKAleGjPoVRYlEf6kGMbzPDa25MmYDqqqUBUz2NqW551NrSSzDsGAgoKCj09bxuaexVs+870V4TNp/TJmL53HlLVLyAQjjP/B/eSNECgKZ158O7762UUqo2vj/HLGUYzuVSbvBpUk6Qs74En0devWceKJJ3Y5fvDgwbz66qtdjl+zZg0zZ87ca0xZWRlr167t8jElSZKkfdOVTbYQgnBApTwWZG1DFkNTyDo+pu2iqgquJ2hImhRHdWzXJxrSWduYIREOYDk+5VGDLa05gpqCpSg0Zy0URUFB4InCfyMBdcf7q5SXGNQUh8jbPiFD57j+FSxa1UhrrrBG34eAIhi16X0uXPYM0z96Dd0v3EDaFC0mFwihqVAeC3JUjxJG9C4h70J1UZDupWG+1qekvQJdkiTpcBAOh0kmk3uN2bhxI8XFxV0+5vjx41m9ejVPPfUUb775Ji0tLcTjccaPH8+sWbMOq+vkwoULmT59OqFQiPPPP5+ioiIef/xxzjvvPDZv3sxPfvKTQ71ESZKkgyKZd1i5NUnWcimJGBi6iu361CdN0qbL0O4JEuEAH2xL8vz79ayqz5DM2WRtB9P2SFsuGcvDcjw8/5NCcdsHIXycps0ABMprUZRPktuJfJpz3nuei5Y9S++2be2PL68ZSFk+yRaj0K7lsxLo5TGd7x3fh8sm9ZfJc0mS9psDnkS3bXufNs+GYeC6bpfjKyoqePbZZ7n55ps7vK3I932effZZysvLu3xMSZIkqevashb/WtNMMm9THgtSEQvQmHF4b0sbm5pzHN+/DEVV25PsINieNlm5NUk8opMIBhDCpzHroKJgBBQqYgZlsSCNaZvGtIXt+UQMjbasTTbvkrRcTKdQ9R4Lafi+QlnUIGu5dC8pImO6+EKgKgrRoE4m79KnMsr0oVUs39jK6oYMKj6P3PtThtV93H4uK3oN4fFjZ7Fg4NfIoNC7OMKAqhi9KqL0q4jSqyy2W+WNJEnS4WTUqFHMnz8f0zQJhfbsG9vS0sJzzz3HpEmT9um4uq5z1llncdZZZ+2vpR50ruvy3e9+F1VVeeWVVxg5ciQAv/71rxk3bhy//OUvOfvss+nVq9ehXagkSdJedHZn6N7uGP30c5FAYd+etVxqEuH2Y4cCGjWJMNuSeTa1ZFEVeOC1DWxpzaOqCrbvU5+yaM7aeB4ICr8Kb7LLGh2bbX8u3BVVe8VjKDsS4zM++he3P30nYdcCIBWM8vdhJ/LQqBmsL939zs+OhFQY0i3OrJE1nDe2lmBQDguVJGn/OuBJ9IqKCtatW9fl+PXr1+9TwvuCCy5g7ty5nH766dx0002MGDGi/bnly5dzzTXXsHLlSq666qp9WrckSZL02Ta1ZPnH0i2sbcgQCuhYrofpegR1lZCuYzouH9S1MaA6TtTQcVyf7SmLgKpguR71bQ7byGM5PigQC+pYnk/G8qgoCtOnoogtbTnSOQfLcWlKW+Rcn5CmEFAVfKHQnLFxd1S1dCuOUFsSpilj05wxacs7lEeD5BF4PgzIt1J6dBVV8RAfb8+wpaY3Axs3suiYE3nquLNYVdMPBNg5i+pIgOP7l3H8oEqG9yghFtTl4CFJkg5rP/rRjzjrrLP4xje+wf/+7//u9tzatWv59re/TTKZ5Ec/+tEhWuGh89JLL7F27Vq+9a1vtSfQARKJBL/85S+59NJLuf/++/n1r3996Bb5GbLZbKfPaZq22wcne4tVVZVwOPy5YnO5HEKIDmMVRSESiXyu2Hw+j+/7na4jGo1+rljTNPG8zscY7ktsJBJp3ydYlrXXwrB9iQ2Hw+2VtLZt4zjOfokNhULtM1v2JdZxHGzb7jQ2GAy295vel1jXdbEsq9NYwzDah1DuS6zneZim2WlsIBBoL/rbl1jf98nn8/slVtf19oSvEIJcLve5YpN5h00tWVp33Blq6BqJeJSiUIC06dDSmsITFHqTxwx6lhb+/97UkiWV91ADQXRVIWSobGloo7IoSC63+78lIQSK67GuweH1tc2srEvi2RZZ2yWZc8haLsKH9v+jFQU18Eky23dMfKfwNTaA8rZtNBUXWn6tKKsl6Np8UNmHB0adxj8GHkte33Hdsj/196KAumOIaAi48JgKvnlsb6oShX8Druvu9u9KXiP2PVZeIwqOpGvEp+3L3uBQ7CN2/ff1pSEOsLPOOkuUlpaKdDr9mbHpdFqUlpaKr3/9610+fj6fFyeeeKJQFEWoqiqKiopE3759RVFRkVBVVSiKIk466SSRz+e/yGl86SWTSQGIZDJ5qJciSdIRyLIsseijevF/SzaJRR/VC8uyxKaWrPjv51eJ793/lvjl4++Ka/7vXXHO//9f4qTbF4lz/99rYs6TK8X1/3xPXPiHN8R/PrRE/OWtDWLOP98T373vTfH1u18Rk37zghhy7bOi38/niX4/nycGXzNPfO2mBeLE218SX7vpBXHqf78sfvvCKvHIGxvEDf98T1x231vitP9+WUy/c5GYPPdFMXnui+KUHb8fed2z4vhbnxff+tNicc/La8Sd81eJHz36jrjunyvFrx9bKh79xV2ibuzxQoD482//Tzy4eL148cNt4j/+60lx2px/ihNvWyhOvfMlccodi8TXbnpeTPrNC+Inf10q5q/cJtpy9qH+8kuSdAQ6VHu3X/ziF7vtm1VVFRUVFe375l//+tedvvb666//XL9uuOGGg3iGn8/VV18tAPHoo4/u8dy2bdsEIKZOndrp603TFMlksv3X5s2bD/rfL58Ufu7xa8aMGbvFRiKRTmMnT568W2x5eXmnscccc8xusb169eo0dvDgwbvFDh48uNPYXr167RZ7zDHHdBpbXl6+W+zkyZM7jY1EIrvFzpgxY69ft12dffbZe43NZDLtsZdccsleYxsaGtpjf/CDH+w1dv369e2xP/3pT/cau3LlyvbYOXPm7DX2rbfeao+dO3fuXmMXLlzYHnv33XfvNXbevHntsffee+9eY//2t7+1x/7tb3/ba+y9997bHjtv3ry9xt59993tsQsXLtxr7Ny5c9tj33rrrb3Gzpkzpz125cqVe4396U9/2h67fv36vcb+4Ac/aI9taGjYa+wll1zSHpvJZPYaO37qDHHTvPfFT/66TNw07/29xh53wkli+aZW8da6ZvF/72wWRijcaeyAEePE9x94S4z//80Xx9/yvAhEE53GGtUDRK+fz2v/pcUrRS2Im0BsB/F/u8QGynqKad/5veh11VOi18/niUBZz06Pq8UrRb+fzxM/eeQtYVmWvEbsIK8RBfIaUfBZ14izzz57t/+H9xZ7KPYRB1NX9+UHvBL9oosu4oknnuA///M/ue+++/Ya+8Mf/pC2tjYuuuiiLh8/FAqxYMEC7r//fh544AFWrFjBpk2bSCQSjB07losvvphLLrlEVg9KkvSVJbow8HNvnl6xlQdf38iWtnz7MbonQvSuiJG3PYSAVN6hLmmSs11qSyMkTZv6ZI7eZVF0DRrTJv9YVofjuFieoCFlYugqhga2UuiT6AFpy8HyBAFNoTFl8tzKbUwZVEHW9mjN2agK4EPY0LAcn7zjoasqFUUhLMdDVxWylkc8rNPNTDFh/j8ZNu8vFDfVF74WisKQ9SuouXA6tSURYqEJ/O2tzXywLUUq7wA+pTGDsb1KOHlYDYNrErJ9iyRJR5RbbrmFqVOncvfdd/Pmm29imia+73PKKafwox/9iOnTp3f62uuuu26Px3b9fiJ2qSretU2Aoihce+21++8kDoDVq1cDMGDAgD2eq66uJhaLtcd05JZbbuH6668/YOuTJEnaV47nY+gqQkBQ33tfcFVVUBWFUEAjEQ50epcIQMZy+XBripTpEg1q+HuJbScEx29Yzjm5NmYCOzuaj6JQSb6ztndNec8unBmURAK8N2fqbhWskiRJB5oi9nZ13E+mTZvGokWLmDx5Mr/61a84/vjj229bcByHV155hZtvvplFixYxdepUnn/++QO9pCNOKpUikUiQTCaJx+OHejmSJH1JdGXg5948vWIrty9YRdr0qIwZRAyNnO1RlzRxPJ8hNXEqEmEQPuubciiKQjigEQyoeJ6ge3GI1Y0ZVAEtORtdU7BcQdp0MDSVjFW4NVFVVVyvkJDXlMJGPhTQMF2P4lCAaMjA9nyKQxq2LwjrGrbvIwQURwwcx6M5ZzOoKk4v8pxx31wGvDIfzSncHmglStj8jQvIXHoZfcYMJhH5ZFaH67p8WJ+mIWmhKNCvIkJpUVi2b5Ek6YA6HPduL7/88h6P3X777SxYsICLL76YiRMnUlVVxfbt23nllVd46KGHmD59OldeeSWTJ08+BCvuupNPPpnnn3+e1atX079//z2e7969O5lMptPBrJZl7XbreCqVora29qD+/X7ZbsP+NNnO5fPFylYNBV/lVg27FsSEggalRZH2Pue5XI6M5bJ0QwvRoI6hq6xvytKUtolHA2xNetieoC1vE1EcsrZHcUinOhGiMWsTDmgc06uEonCIYChExnJZ05DmjVVbWdeUJRHSURWF5qxFKu9g6Bq2B7aiYTs+tueTz3f+NUNRmLX6DX782iP0a9na/vCLwO+Ad35wPyK449/ZLi1aoND6hR2XiO6JABeO78kF43oSDAblNWIX8hpR8FW+RnzeWNnO5RNd3Zcf8Ep0gMcee4wzzzyTRYsW8fLLL6Prenvf8+bmZhzHQQjBxIkT+fvf/34wliRJknTES+YdVm5NkrVcSiIGhq5iuz71SZO06TK0+96rrG3b5sHXN5I2PfpXFrU/Htc1XAHrGjNsbs3SqyzM9nRhYx8JauRtFyFUQFCXymM6PjFDK5SbCwVNFeiaWvhhwBeENAVf+Hg+hc2zUviGbzkunq9g+4IqQ8MI6Pg+CE9QEQ8iKFTAO65PKKBSk4hQFguyOenSY+liNMcmO2oM9ve+j3LuuVRHIx1W4eu6zrAeJdDjwPw9SJIkHSk+nQi/5557WLRoEe+88w5DhgzZ7bnZs2dz+eWXM2HCBGbNmvWlT6J/UcFg8JAPsduXHzYPVOyuSa39Gbsv1ab7EtvRgN39Ebsv/z/sS6xhGO1Jl0MVGwgE2pNP+zNW1/X2ZNn+jNU0rcv/D+9LrKqqByRWUZTdYvcsiHEojTntBTHRaBRHsQmEIiSKgpiOhyVsKkpDuL4g56bIWi4Z06G8PEokSmH4Z4NNS96iOBKktNXj6LCGIQT1yTzb2vIkHY2Uo+Iqhf7ijTmB46oEPBVdBctxye/IF6tGB/82hCjs/YFiM02/lq2kjTCPD53GA0NPZOEDPwagNhjt+PUUEuqxAFxx0gAuPa5fe5K2I/IaUSCvEfsee7hfI/ZXLBx++4hD4aAk0UtKSnjppZd44IEH+NOf/sTbb7/Ntm3bgMI/mgkTJvCd73yHiy++eK8Xxr3ZsGEDDz/8MMuXLyeVShGPxxk5ciQXXnghvXv33o9nI0mS9OUnhGBjc5as5VKT+GSjGApo1CTCbEvm2dSSZWi3RKfV1ovXt7KlLU9lbPcNk+cLXNcnrCu0Zh02teSxXJ/mrEOb6RBQFAQKQQ3iEYPisI4PGJqKqoLnQEhXMR0PzwdPFfiisNdGACr4AlwBuqYS1DVcz6MkGsbxBJbn4PqCQVVxwpvWM3zeI/Rc8Sb/fcvD1MQNupWEaLv9f1AH9SHytfFEZTW5JEkSAP369WPq1KmccMIJnHDCCXTv3v0LHe+uu+7i/PPP3yOBvtOwYcM4//zzufPOO/n2t7/9hd7rQEskEgCdVpqnUilKSkoO5pIkSfqK62pBjK6p6KqC7fqFfboQBDQVX3hkTIec7RELBUBAQ9qkJWtTFNRJ513yjs/7mkpT1mJItwTbkiYbmrM0ZvKEDQ0QtJoOluMjfHA8j85quAOewymrXufiZU/z2NAT+duIkwH4x5CpCEXlH4NPIBuM4H96SGgHaqLwH5P7ce6xfbucvJUkSTrQDkoSHQqf2HzrW9/iW9/6Fp7n0dzcDEBZWdnnTpzvdNddd3HVVVfhuu5utwQ+/vjj3HDDDcydO5fLL7/8C72HJEnS4SRre7RkbEoiHW86SyIGzWmbrO0RC3b8raAlY+O4HkHdwPF8VEVBVQr9FS3XQyAwPdjSmqM4GiSkK5iOh6Kq5F0XI2rgCSiLGWxqMTE0Bd/zcHyfvOvhuT4K4Hrg7+iLrlBIoCsAAsK6QjykY3oCXVMI6CqZXJ6e/3qVs955mv7LXmtf73ktH9I4ZBq9yyN0n3S+bMUiSZL0KZ7n8ac//Yk///nPQCGpPmXKFKZMmcIJJ5xAdXX1Ph1vzZo1zJw5c68xZWVlrF279nOv+WDZ2Qt99erVjBkzZrfn6uvryWQyjBs37lAsTZKkr6DPKoipa8vx4bY2ehRHAIVgQKUla1EcMdAVBcfbmeouJNeLgrC5Ncf2lInp+uQsF8cXKJ5PPKyzpSVPyrTJ5F22teXJWB6aouD5PpZduGO0s+R5daqJb777HBe8+xwV2TYADM9pT6JnghEeGjWjPV7RNOLjvt7++516xHXOGtmdc8bW0qOsqL3tiCRJ0pfFQUui70rTNCorK/fLsebNm8cVV1xBeXk5V1xxBVOmTKGmpob6+noWLlzIHXfcwZVXXkn//v057bTT9st7SpIkfdm5no/rC4xOhggFNBXXF7ie3+ng0WBARQBNGZtwUEdRQFUUMqZDynIw3ULheFvOwfEhGtRwfJ+s7aGpEDFUUnmHjy2XeDiAoqmsSxY25UIUkuU+tM/m1jRQKVSfO65P0NCoSYSIBHVasw7hVBvnvDufo/75KGWNdQD4isLGsZNovPg7pCdPoyxs0KssJhPokiRJHdiwYQMbNmxg4cKFvPTSSyxatIg//vGP/PGPf0RRFAYOHNieUD/33HM/83gVFRU8++yz3HzzzR1ed33f59lnn21v4/hlNnnyZG655RYWLFjA+eefv9tz8+fPb4+RJEk6GPZWEJOxXOraTF7+OEU8HCCoaYQMHU2FnO0SMjSSeYeApgACQ9doylgk8zapvIeHj+dpmI5Hmy9YsrGV0ojBphabZM4GoSCEj+1BW97B7KTN99c2rmD20nmctPoNdFFIsW+PlfLoiOk8MuKUTs9N0QKUTNn97qRXfnK8TJxLkvSld1AGi+4khGDhwoUsXry4vZ1LTU0NX/va15gyZcrnSnpMnTqVFStWsHz5cnr02LOh7ebNmxk1ahQjRozgxRdf/MLn8GV1OA6nkiTpwMlYLkvWFwYMhQJ73u1jOh5Zy2VgdRFNGau9z2Ih+a0TC2lsbspyx/Or2Z42qS2N4vuClqxFynLAh5wrMFSIh3Vcz8cTCmFDw9AUQgEdTYHmrI2mwlE1CbYnTZoyFnnbxfUErl/In2sq7CyWCekKIUPH831KYwbV8TBZ2wMfxjWt5lc3FjbcuViCTWeex6azL4Z+/TB0jbIig56lXRuYKkmSdKh9WfZua9asYdGiRSxcuJAFCxbQ0tKCoih7HWK20y9+8Qvmzp3LjBkzuOmmmxgxYkT7c8uXL+eaa67hueee46qrruKWW245kKfxhbmuy6BBg9i6dStvvPEGI0eOBArtXcaNG8eGDRtYtWpVl9tEfln+fiVJOjy15WyWbGiloiiIukueJGO5rNyaZG1jBtPxGNY9QdjQaM3aZCyPkmiAknCA+qRFxnYxbYeU6bJme5qtyTym7RHQNHSt0IfZcQW6DkFVxfV90qaLAFwfnM5nbwJw79/nMGXdOwC8UTuUB0bPZMGAY3G1zms1DRVqy8KcNrQ7M0fU0L8yJhPnkiQdcl+qwaIAzz77LD/84Q9Zv349QHvblZ2J8759+/Lb3/6WU07p/BPLjixdupQLL7ywwwQ6QG1tLeeeey6PPPLIF1i9JEnS4SVqaJTGDOqT5m63gO7UmrMpCuusa8yQsz2KIwFSpsPH21Is35ykNWdTEjUY2zvBSx+7bGnNETMUMqaL4wqEgIAC5bEguqbgC4Hp+AQ1lSHdYuiqxqbWPKXRAOm8zar6JK4HsZBO2NBJ5W08H3RNwfU88AUKUFYUpCQaxMtmmbRkPmVWhv+bej6xkE7DoGGsmXE2Hw8chXPuOcwc15certijgl6SJEnqmmw2y5o1a1i9ejWrVq2itbUVIUSXB0Bdd911vPPOOzzzzDM8++yzRKNRKioqaGxsJJvNIoTgxBNPZM6cOQf4TL44Xde55557mD59OpMmTeL888+nqKiIxx9/nI0bN3LbbbfJOUuSJB00u/Y531kQI4RgW1uOutY8AVUhHgsSCWqEdJ1wsU5TxsQXPuUxg55lEdY3Zlj0UZqlm1oxPQ/bLey3fQQ528f1PTQFdE8lh4vjgNPJegY0bmT2sqf53bHnUh8v3F3052NmsSVRxYOjZvBxRe8OXxcJKIQCGjFDZWBlETNH1jBpQAXJpu0oZgsQ2+9fO0mSpAPloCTR//znP/O9730P3/cZP34806ZNo7a2FihUir/44ou8+eabzJw5k3vuuYdLL720y8e2bfszN/qxWAzbtr/IKUiSJB1WFEWhV1mUtOmyLZmnJGIQ0FQcz6c1ZxMxNBAKOdulKKjz3pY2nnu/ng82t5EvFH6jAWURhX6VCVrzDlvacuScwuY7bEBZNEQ8bJDO2Ziuj64qWK5PXZtFzvFJmw6JcABD12jNu6gUqmd0RSEeCqBpCuXRIHnHJZl38YVHj7ZtnPP800x94xmKsinyRojnJ5xOvLiMkBHg0e9fT2U8yIyjatA0jdgXG6khSZL0lWKaJq+99lp7O5d33nkHx3EIh8NMmDCBG264gSlTpjB27NguHS8UCrFgwQLuv/9+HnjgAVasWMGmTZtIJBKMHTuWiy++mEsuueSw+YBzypQp/Otf/2LOnDn89a9/xXEchg0bxm9+8xvOO++8Q708SZK+IoQQCCEI6Arbknl6l0VRFIW849GYthAIHN8npusIAQKBgoKuqny8PcPahhwCnw/qUmxsyZG1fHZtP6C6fnt/cxewPb/Dfue653Ly6jeYvXQex25eCUBrqIg7Jl0MwKt9RvNqn9EdnkNIhaqEwdjepQztUcKEvmX0ryq0a8lms/Tt2xeATCbT5Q9uJUmSDrUD3s5lzZo1DBkyhEQiwSOPPMKJJ57YYdyLL77IBRdcQDKZ5P3336dfv35dOv7IkSOxLIv33nsPXd/zMwHXdRk+fDiGYbB8+fIvcipfavKWUUmSPk0IwbakyfqmDKm8i64qBDSVsiKDsmiQj7Yl2ZbMs3RTG0s2tLCxxezwOBEVThtRRcYSLN3cRkADBRVNVfF8H0UBy/URvsD2BRWxEAIPUNFUBdNxac3ZBDUVz4egoVEWCaBqGhWxIIrv0v3NV/n64n8ybOVi1B3flprLa3hh8lm8MvUbWJEiquIGY3qXMrZPGbUlkYP4lZQkSdr/DsXeLRwOY9s2hmEwfvz49qGixx57LIbR8SBq6fORe3NJkj6PZN5hY3OWloxNm+mwtTVPQFMYWFmEpir8a3UjqxvTBDWNsqIgEV0jGtKJhnS2tuZYsz2DripsT5psbs2Rd3zcfcz4VGRauGD5c3zz3eeozrQA4Coqzw84lj+NncWSHkP2/vqIxnH9yzlzTC1jepUSC+q7fZiazWaJxQoV6DKJLknSl8GXpp3LnXfeie/7PPXUU4wfP77TuGnTpvHUU08xYcIE7rzzTu6+++4uHX/27Nn89Kc/Zfr06cydO5cxY8a0P7dkyRKuvvpqVq1axW233faFz0WSJOlwsesG3PF8UCAa1OldHqUmEeKDbSle+Gg7729N0Zg2qUt2frdOzof5H25nxpAajB3V7LGQRpGhkXU8UnmHnO3iuj6RkI6iCIIBHc8ThA0dXwhcT+B5HrqqYtkeGV0lFlRQFDjpmYc57/Hftb9f3fhJbL3gW7RNPolKQ2NSxiKgaQzvkaBveVT2TZQkSfqcLMsCYPz48cyYMYOpU6cyZsyYw6ZSXJIk6UiWzDus3Joka7mURAxKogaJUIDV29N8UJciGtSoT5oIAaVRg1iwsM9uzVqsbUyTyhVmWaTzDvUZE0UptE70XYEAupJLN1yHF+75dxJWFoDGaDGPDp/OIyNPbW/j0ulrFRjZM8Hs4/pwXL9ySqLBL/gVkSRJ+nI54En0F154gWnTpu01gb7TuHHjOPHEE3n++ee7fPzLL7+cV155hSeffJJx48YRiUSorKykoaGBXC6HEIJZs2Zx+eWXf5HTkCRJOmx8egNu6Cq2W2jjsr4pS1ve5sUPtrNme5ac7eE5nz08LmXCh3VJgrqK4wsQoGoqcV1FRSFtOTgeBDUFXVMoDhl4wsd0BDnTRUWAoqDrKoPrVuMrCpt7HUVZzOfZ4Sdw6vyH2Trz69R/81LCQ4/GtH0UX6AoCoO7JeTAUEmSpP3gH//4BwsXLmThwoVcffXVAMTjcSZNmsTUqVOZOnUqw4YN2+fjbtiwgYcffpjly5eTSqWIx+OMHDmSCy+8UPYRlyRJ6oAQgqzttc/2iQRUNjZnyVrubvOMymNBymIG6xuzpE2H7iUh/Faf7WmTxrRFznbJOR5tWRsfKArqtGZtPM9H11Vyttthq5adInaeaWve4qmjJ4GiYOsB5h09kYGNm3hw9Gk8O2gCjrb7HlyF9mNqQLd4kKO7Jzh3TDXj+1fvUXkuSZJ0pDjgSfQtW7Zw1llndTl+5MiRvPrqq12O1zSNJ554ggceeID777+f5cuXs2nTJuLxOOPHj+eSSy7h4osv/jxLlyRJOuwIIdo34OURnVUNaVKmQ1BT6VMWpjGVZ8mGZpJ5m+JIgJaMhd2luhSoTzuUxQx0TyHnuLhZH0MrJNEDqooeggFVRYQCOpGAho9gZV0KXyj0COuMXfICZ7/1FCO2ruKNAcdwxaW3sKYhTXlpFX989BX6dS+lX2WUITVxco4vB4ZKkiTtZ7NmzWLWrFkANDc3tyfUX375ZZ566ikURaGsrIwpU6bw17/+tUvHvOuuu7jqqqtwXZddu0Q+/vjj3HDDDcydO1cWs0iSJO1i1ztGXV+gqwohQ6UpY1NVFNojXkGhOBrgo+0pDF3H8QWbmrK05BxyloPtgS/A0EHEg+TcQnI+b3feyqVf02YuXvY031j5IkV2ni2JKpZ1PwqAOSd+H1fTUdvfv5A493b5c1iHvuUxvjGmOyccVU2v0jCaJocVSZJ0ZDvgSXRN03Ddz65y3Ml13c918Z09ezazZ8/e59dJkiQd7oQQZCyXVN4ha7lsas7w0bY0r65pojFtYbseoBA2VPqURfEFDO9RTNTQ0Hf0Ke8K2/cpCgUojYWwXI903sV0C9vpqkQIXVOpLY2QsQpDRXVNpTa5ndMWz+PkxfNIZJMAOKpOS7gIxXXRgjrH9CqhX/cSKoqC9CwttGuJBWXLFkmSpAOprKyMs88+m7PPPpu6ujoeffRR5s6dS2NjI4899liXjjFv3jyuuOIKysvLueKKK5gyZQo1NTXU19ezcOFC7rjjDq688kr69+/PaaeddoDPSJIk6cuvsztGt7Tm2NyaoyRiEArsng/xhU8ya7OhKUtIV2hImrRkbVKmi++DooIQYLvQkLQwvY5bt2i+x4mr32T2snkct3FF++PrSrpRtKN9C4CrFdJEugqeX0igqxqENZWeZREGVRcxdVAFpwypJhCQd4pKkvTVccCT6H369GHx4sVdjl+8eLG87VOSJKmLknmHD+pSfLQtSVvOYXvaZOmGVuqSeXwhUBUQfqEPYjIP21MWQR1URaGiyKAkEiCZ10iZn/1hZ008xFE1CVzPJ2u75CIeO4sODR2SeY+SSJC+5Qab2/Ic/4e5nPD0Q2iikKVvKa1k2Snn8P6p57LZKGK045G3PAZUFdGvMipbtkiSJB0kjY2N7VXoCxcuZPXq1UDhQ9mamhqmTJnSpePccccdlJaWsnTpUnr06NH+eK9evRg/fjwXXngho0aN4o477pBJdEmSvnI6atmyoSlDc8aiPBbEFwIFCAU0uhWHWdeUZVNLlj7lMXxfoGkKqZzDB9tSrGlM83F9mrzjYTsuHoUkt6areL7A9QU+kPc6Xkuv1joeffSXdEs3AeApKi/2H8cDo07jtd4jEMruBSwq4Piga1AU1OhTFuWMUd2YPqQblUVBOaNIkqSvpAOeRD/llFO47bbbmDdvHjNnztxr7NNPP83ixYv52c9+ts/v43keW7Zsoa6uDsdxOoyZNGnSPh9XkiTpUPn0xvvTbU2SeYc31zXz4bYUuqoQ1FXqWjJsbsni+BANqliuwBOgKQqxoEbWdslbsLquFbcqQTQYoCJqsC219yR6SIWxvUvImi61ZREc18ej0AcR4OPtaY4KuRhWjnxAo0dxmEyvvmjCZ9nAMSyefi65k2fQrbyIWkOnhxA0Zy1asjbj+pTRpzwqW7ZIkiQdYD/60Y9YuHAhH3zwAVD4PlNZWck555zDlClTmDJlCgMHDuzy8ZYuXcqFF164WwJ9V7W1tZx77rk88sgj+2X9kiRJh4uOWrb4QrCqPo2qKjSkLXRFIREJUJ0IEzU0SiMGyze1kcy76KpCKm/zcUMGxQehCHzhkc5Z+IqC7RQS8I7v43R0V6kQVGWa2V5UGAa6OVGFr6g0RRL8dfjJPDLyVLYmKvd4mQLoCkSDUBoNc3RNnOMGVHDK4EpKi8J7xH8euq7zgx/8oP33kiRJh4sDfsW68sor+X//7/9x/vnn89vf/pZLL710j0SJEIL777+fH/7wh8RiMa644oouH9/3fW6++WbuuusuWlpa9hrreZ18LCtJkvQlsTNx3pK1qWvLkbc8PAG6qlASDVBRFCJiaGiqwoamNBuaskR2bLrfWNdMfcZBAKoCWdsHAUFdxQdcX2BoYAO2Ai05m3jUoCQWpjLm0pCxO1yTocL4fmWM6V3Gsk1JNjfnKCsKEtRVLNfHeG8F317wV8a+/hybrprDopPOoS3nkD7pdG7sNYSt1b0Z17uM6kig/fqvKAotWYeB1UX0LovIBLokSdJBcPfdd1NWVsZZZ53VnjQfPHjw5z6ebdtEo9G9xsRiMWy74+8vkiRJR5JP9vEWH2/P4Hk+pdEghq7SnLF4bXUTdck8Q3skiAZ1bBe2tOVJmw6l0SDJvE3GdMmYDsVhnRWb29jQnEdVwfcFLTmXvAsIQXv5y6f6toRtk1kfLGL2sqcpz7Zx3L//GUcL4Ksal55zHZuKa7D1ju/8VIHSqMZR1QkmDapkYv8yepRG9/ug0GAwyO9+97v9djxJkqSD5YAn0auqqvjLX/7CN77xDS677DLmzJnDCSecQG1tLQCbN29m0aJFbN26lUAgwOOPP051dXWXj3/11VfzX//1X1RWVvKtb32Lmpoa+WmmJEmHpZ0VK5tacqxrzJC3HHRNIxbSQQgypoOq6fQujxDSNTY257Acj6pEiIa0xfqmLDs6p6Aq4HqFahJP+GgouJ7A0BR0RSGkG6QtF18IepdHydsetuORtjx8dlShqFAeCzChfzlDu5VQHQ9zXP8AH9QlaWpK03PxAo6f/zd6rVrefg6933+bs6++klS+cEdQelw/Fq1qpDFjoWsKoYCG6XhsS5oURwIc07tU3g4qSZJ0kCxfvpzhw4fvt+MNHDiQp556iptvvrnD/bfrusybN2+fqtslSZIORzv38c1pi7WNWZKmQ5/yKPGwwLYclmxoYUsyR12rSWPapLIoRHE0gPAFy1IWQoFoQCccUEnmbd7d0sq6xhyeELiWh+/7mFbng0L7tGzlomXPcM57LxDf0d/c1A0Gb1/Hu90GAbCmvGen6w/rMLx7nLNG1zJxYCXdisOyyEWSJOlTDkq2ecaMGfzrX//i8ssv5/XXX+ehhx7aI2bChAncddddjBkzZp+Off/99zNo0CDefvttYrHY/lqyJEnSftNRP8Sc4+/WpiVluqzcmiRjOqRNh4ZUno/rs9Ql81iuhwBihk5tSQjHK6FnaYStrblChUvMoDFlYns+ibDGVlXF9wvZdEEhme4rAlVRUBSVgA7di4O05h2ypkurblMSMRjZq4R4UEXTVIK6RmU8yMCKKMWxMKqq0JZ3qImHGPr0nyh98M8YzYWeir6uk5pxOomf/Bhl4kSKFIWi0CcVLtFQgLfXN7OlJY/tCgxdYWB1jGN6l1JbEjkEfyOSJElfTfszgQ4we/ZsfvrTnzJ9+nTmzp272z5+yZIlXH311axatYrbbrttv76vJEnSodJRu8Wd+/is5RLSNVQVKmJBmjMWW1vzbG7J8cG2NnK2TzJXaO/SlLGJGDquL8jZDrYrKI8GqC2L0py1yORcDA3ytk/ecsl20nlxyPa1/HzRfUzasKz9sQ3FNTw4agaPDTuRVLgIhU8K1g210OtcAEENokGNYd0SnHtMDyYOqqIoFDjgyXMhBE1NhZ8jysvLZbJekqTDxkEr2R4zZgz/+te/WLNmDa+//jr19fUAVFdXM2HCBPr37/+5jpvJZLjoootkAl2SpC+lT/dDNF0P2/UIahrBgNbepiVre2Qtl+KowRtrm3h7QytZy8PQVBzHRaiQtT0+bsjSknPpUxZFKJCzXAxdw/a8wqZd8QloClkPVBWEAG3Hf1HAdH1KIwGCmkJVLEif8ii9y6P0KIkSNVS2tJlsbcsT0BT6VsToVRahZ0kEFIWVW5NsS5n0+GAlRnMTdlU1m86+mJYLZjNo1CCUToaC1pZE6J4I0ZixMR2PUECjImbICnRJkqRDZMOGDTz88MMsX76cVCpFPB5n1KhRXHDBBfTu3bvLx7n88st55ZVXePLJJxk3bhyRSITKykoaGhrI5XIIIZg1axaXX375gTsZSZKkg6SjPue77uNrEmHSpoMvIBrU0RSFxWvr2dycJ2PbuH4hgey5Hg2pPAIIGyrxUJC0a9NmKpgNKUBFAbYlTcyOkudCwI7Es68oTNqwDB+Fl/odw4OjZ/JKn1G7DQrVob39i+cXkufdSsKM6VXKyUdXM/XoCjRN2/N9DpBcLkdlZaEfeyaT+cy2YJIkSV8WihCikxuCDg7XdXnvvfcAGDp0KIFAx0mYzkyYMIHevXt/5QcWpVIpEokEyWSSeDx+qJcjSRKFjfbOqpSSiIHt+ayqT9OYtqgoMhhUHcfQVLYl82xpyTO4WxwVnzteWE1L1iYRMcg7Prbj4e/YLLdlLUK6yoCKCJqmk7YcdFWlZ1mErOmyuS2P5XjUJfPYO3bLu1Wf6NC9JEJIV4mHdY7tU8aUo6rbK0CEEOQdj7q2PLWazeiX56H+7//CU0+RrKllY3MWZ/GbBLZspvXEUyktjdKzNEqikwS6JEmS1LFDtXe76667uOqqq3Bdl0//GBAIBJg7d+4+J70feOAB7r///j2S8pdccgkXX3zx/lz+YUPuzSXpyPLpfb2hq9iu376PP7qmiLCh0ZSxWVWfxPdhc1uedze30pqz8Xf2S/QFrhC4XiEXrquFanAAVRWFynMH9pgVKgSj6lZx8bKnyQeCXDP9P9ufmv3OU7zUbyxbivdsi6sr4AnQgPKYTt+KOCcOrmTyoEp6l0UOavJ8p2w2214EKZPokiR9GXR133bAK9HXr1/PwoULOf744/fohzhv3jy+853vtN/KU1JSwu9//3vOPffcLh//mmuu4ZxzzmHp0qWMHj16v65dkiTp8xJCsLE5216VIhBsbs3h+T4Dq4poSJlsas7SszRC1NDJWA4tORvTcWnL2cSCGo7no6s7BoG6Pj5g6CqWL1B1DVcUqkm2p/NkbY+aRAjHLSTMy2MhUqZFzha4O3bhhgIl4SBRQyNi6MRCAQKaTtb2iAUL3w4URaFk3cf0ufcPlD3xN9RcrvDiP/yBxK23Mqx7guwZ03A9n747bmGVt2BKkiQdHubNm8cVV1xBeXk5V1xxBVOmTKGmpob6+noWLlzIHXfcwZVXXkn//v057bTTunzc2bNnM3v27AO4ckmSpEPn0/v6nUIBjbKYwZINLTSkC5XldW0mqxvSpM1CixbTLgwpCukqjufj++Dv+PzSo7CXt/Pep+eDtgs6Fmd8+DKzlz7NsO1rAbC0AL+ZfCmpUCER/cCY09vjVXZPwBsaxEMBTjiqgjNH13JMz2I5Q06SJOlzOuBXzz/+8Y/85je/Yd26dbs9vmbNGs4991xM06RXr15Eo1E+/PBDLrzwQgYMGMCoUaO6dPzTTjuN++67j1NPPZUzzjiDESNGdPqpgdzcS5J0sGRtj5ZModc4QN7xSOUcikIBcpZDc9Zi9fYU29ryqJpCW9ZmzfY0EUPF27G5FgJ0TcEXAtvzMTQVlEIRS9p0CQY0upeEURVwfJ/GjImqCsK6TsjQ6K2GSNke29sswC/0Ow8E6FESZnC3YgA0TaE+madfcZDi+U9Tev8fib35evt5eEcdhfaf/wk7KgkVRWlPuEuSJEmHlzvuuIPS0lKWLl1Kjx492h/v1asX48eP58ILL2TUqFHccccd+5RElyRJOpJ9el+/U8Zy+ag+xdqGDC05G0NTac7a5G0Xy3XJ24VEuSLAcn18Udh7K57A2SVr3lECvbatnouWPcO5K56nxEwDheT5U0dP4oHRp5EO7d7OVlcK1eY7jxtQoVdpmHF9yjhrdDeO6S17j0uSJH1RBzwT8q9//YuRI0fSq1ev3R6/6667ME2T//iP/+C3v/0tAE888QRf//rXufvuu/nTn/7UpeNblsVTTz1FU1NT+2s+/c1BCIGiKDKJLknSQeN6Pq4vMPRCP0LPK9y6mTZdVtWnactZmK5P1vHQVIWWtE2qLklNPIgnBGnLRUEhYuh4CDx/x32Y7OiSKBSCuobnC/pWxHA8j4p4iA1NObongtQUh7E9sFyPjOlSVRTEFeB4HuN6lxEO6nxUl0JVFZI5B8vw6f6Ly9FSKYSm0XrSDDadfyn9zzudWEi2apEkSToSLF26lAsvvHC3BPquamtrOffcc/e5TaLneWzZsoW6ujocx+kwZtKkSfu8XkmSpP2to8Ggn5Vc/vS+HiBjOqysa2PVtkLVed5yaHF90paLrqigaOiqh7djiKftF7byrivwurDO0z98hX976/8A2Jyo4qFRp/K3YSfRGkkAhYpzXQFNA2/HLCRdgaiu0aM0wqxR3ZlyVBW9SsOHpGWLJEnSkeigtHOZOXPmHo8/99xzGIbBzTff3P7YmWeeycSJE3n11Ve7fPwrr7yShx9+mOHDh3P22WdTU1Mjb0+SJOmQ0zUVXVWwXZ9QQEPTFBzH46PtKVpzLqGAiuW4hX7lQpBzHGzHI5W3CQc00qaLoUNLrtADXVMLJeiuKzACCrZj05z2iYb0QlWLIqguCtGadfioPsP2tIWuqhRHDUojAbqXRmnO2FQURSmLGkTffI2yJ57gpe/+HE3TcEIRGr/3QxTHpuXCS9kcKaWmOERUVp1LkiQdMWzb/szes7FYDNu2u3Q83/e5+eabueuuu2hpadlrrOd1JW0kSZJ04HQ0GLQ0ZtCrbO/zfT69r0+bDq+ubuCjbRkaMyaNKRvbczEdD01VEQoIb8/68s6ugsX5FOetWMBHFX14ue8YAP42/CTGbP2Qh0eeyqK+Y/DVQiJc2fFLVSAQgCJDp3dplP5VRXRLhDm6W5yJA8r2edacJEmS9NkOeHaksbGR8vLy3R5raWlh7dq1TJw4kaKiot2eGzVqFEuWLOny8f/+978zZswYFi9eLJPnkiR9aUQNjdKYQX3SpCYRJqSrNGVtNjTlKAoHWNeUxbQ9grqN5xduE40EFTJWIVnueT5Zr7C5D2gQMQqJdU0BzxdkLEE8Arqq0JSxsF2fnNOE8Dzq0yb1KZNIQENRwdA0WvMOI+I6I556nG6P/JnQxx8BsPrYaXw4aDSuJ6j/4U9xPJ/WnE00qNOzNCpv+5QkSTqCDBw4kKeeeoqbb765w32z67rMmzdvjzlGnbn66qv5r//6LyorK/nWt74li1kkSfrS6mwwaH3SJG26DO2e6DSRHgmoBAMqaxrSRA2d9+uSvLe1DVVRcBwfBYGuKTh5EJpPSNXxhE8HefTdDN/2MbOXPs3pH75C0HN4o3ZoexK9KVrCd86e0x6rU6g+9xRAQCig0C0RZurRlZw+oju9ymNyVpEkSdIBdsB3uYFAgObm5t0ee+eddwA45phj9ojf18nMpmkyZcqUL+2G/Te/+Q2/+MUvAFi8eDHHHnvsbs+nUimuu+46Hn/8cerr66mpqeGcc85hzpw57ROrJUn6cuvsttBeZVHSpsu2ZB7PFzRnbTwhaMpYpHI2AU3DE5C2XGzXI5X3URWbkqhBIqyj6SqZvEcy76GqCoYm0FQV2xW4msD2BKm8g+36qKpCQ8rEcnyEJyiKBDA0BU1ViaxZzbF/f5IZy14kkMsA4IcjtH7jPAI9a+lbHsXzfZoyFrqqUFMcomfp3ityJEmSpMPP7Nmz+elPf8r06dOZO3cuY8aMaX9uyZIlXH311axatYrbbrutS8e7//77GTRoEG+//bbct0qS9KW1t8GgNYkw25J5NrVkGdotsUcSOpl3+KAuxfLNSd7b0sqm5ixpy8PzBTFDoylroSgKAU1l50t94WN10rYl6NrM/PBVLl42j5HbVrc/vrKqH48PnVoYivSpNQTVwgBSVAipUFUc4fgBpZw5opaRPYtRVZXDia7rXHLJJe2/lyRJOlwc8CvWwIEDefHFF3d7bMGCBSiKwoQJE/aIr6uro6ampsvHHzNmDGvWrPnC6zwQVq5cyZw5c4hGo2Sz2T2ez2azTJ48meXLl3PyySfzzW9+k2XLlnHbbbfx8ssv88orrxAKhQ7ByiVJ6khHyfKU6XZ4W2jP0gi6plJbGmFra5alG9rIWS6VMYO6pIlKYUBn3vHIWS5CCAJaoW2LIgSmB4bw6FYcZGtrHg8fhI/vqRi6iq6qOJ5P2vKIBHRKIwG2tObJ2S4DKuKURANkbJejN3/EtXd9p/0c8n370zz7MhrOPI8mvdCuZVy3OJqm7lNvSEmSJOnwc/nll/PKK6/w5JNPMm7cOCKRCJWVlTQ0NJDL5RBCMGvWLC6//PIuHS+TyXDRRRfJBLokSV8aHe3XOxsMulNJxKA5bZO1PWK7tDJM5h3eXNfMh9tS5CwHx/XIOT4Z08Z0fPK2iqKoKAgsx90xfwhMz+90ff/vHzczdV3hzntL03lm0PE8OPo0lnY7ao/kORT6qOsqxMMB+pRHmdC/nBnDqulfWXTYJc93CgaD3HfffYd6GZIkSfvsgCfRv/GNb/CrX/2K73//+/zgBz/g448/5g9/+AOxWIxTTjllj/jXXnuN/v37d/n4N998M9OmTWPevHkd9l4/VBzH4ZJLLmHkyJEMGDCAhx56aI+YuXPnsnz5cn7+859z6623tj/+i1/8gt/85jfceeedXH311Qdz2ZIkdWJnD8XmtEXWLtSVRAwdx/NQFGW320LXNWZ4d3MbJVGDkK5hex6uEPSriJIyPRqzDuVxFUNVSZk2igKqqqKqKkZAIe/4qJpCS8ZhU6vFzm24CiiKS0lYQ1V0AqoKuiAQUEnlHEzbpTrXysjVq9k8egIRQ2ddz6PY3r0vmytrWTD56/Q57wwq4uFCxXmRISvOJUmSvkI0TeOJJ57gwQcf5P7772fZsmVs2rSJeDzO+PHjueSSS7j44ou7fLzhw4dTV1d3AFcsSZLUdZ31PC+OGHsMBt1VQFNxfYG7S/JbCMGGpgwbmrIoCJqzLpYrqIgZqEDKdDAdD89zsFxwOziuInwmrV/G8pqBJMOFNrb/HDyZgU0beWTkqfx1+Mk0R4s7PR8d6FMeZny/MiYOrODYPmXEw4YsdpEkSTpEDngS/cc//jF//etf+cMf/sAf//hHoPAN6Y477tijdcuSJUtYs2YN//Zv/9bl4z///POccMIJzJo1i6lTpzJixAji8fgecYqicO21136xk9kHN910E++//z5Lly5l7ty5ezwvhOCee+4hFovtsa5rr72W3/3ud9xzzz0yiS5Jn0Nn7VU+r509FBtSeVJ5l7Tl4no+dW15NE1h2lHVhAKFYT+uL8iYHnVtJgFdoUdJmJaMjeV4hWS4ArqiIBTIOB6242NoKjnHR1MFwgPT9cApVKNDoQJFVUERYAtoy3vEw4JEJEDOVvA9Qb/Vy/nxa09w4gf/Ih+JcfV/P4MIGDiqytxbHsbWClXv0ypjDKqOy4pzSZKkr5DFixdzzTXX8Pbbb6MoCuPGjeOmm25i/PjxX+i411xzDeeccw5Lly5l9OjR+2m1kiRJ+0YIwbakyXtbkliuR3U8RDCgYbs+29rybGrJkbNdAnqh8EVh9/2v4/noqoKufZJkz9oedUkTIQQZy6ctZ1NeFKSuNUfWcsjYDrlOZjDHzQznrHiei5Y/Q5/Wbdx0wrf54/ivAzDv6Ek8dfSk9kGhHdEV6FYSYsbQKr4xpif9KmKHbdV5R4QQ5HI5ACKRiPx5RJKkw8YBT6JHIhFee+017rzzTt544w3Kyso455xzOP300/eIXbp0KbNmzeKMM87o8vGvu+669t+/+OKLe7SO2elgJtGXLl3KTTfdxA033MDgwYM7jFm9ejV1dXVMnz59jw8TotEoxx13HPPnz2fz5s3U1tYejGVL0hGhswqUXmWfr+J6Zw/Fjc1ZNrfkaMnaBAMqCgp528UTCu9sbGHigApiQZ36ZJ6c7dGrLIJpeViuTzSoU1kUojlroSkeoYCKEJDKOeRtF0UFzwNX9XB9ZUclTOH9FUDbscfWVfA9cAU0ZW16hQSnLHmekxY9Tu+ta9vXXF/di+K2RurLu6EAOSVAQIFYMEBFUYjiTm5llSRJko487733HtOmTcM0zfbHXnrpJaZNm8Zbb73V6V61K0477TTuu+8+Tj31VM4444xOi1mg0I9dkiRpf0vmHTY0ZVi6sZWmjE1FLIjnC6p39D7P2h7rGjPkbI/NzTn6VMSoSYTb27YIBNuSeSpiQXzfJ206eL4ga7mYtofrC3K2g6IItrbkeL8+ScbqeGLokO1ruXjp08z64GXCrgVAKhhFFz66WtjXe2jtd5numBHarjysMq5vGScPrmHyoHKKo6EjMsGcy+Xa24BlMpl9nosnSZJ0qByUKQ4dVVt35Hvf+x7f+9739unYCxcu/LzLOiAsy2L27NmMHDmSq666qtO41asLQ0QGDBjQ4fMDBgxg/vz5rF69usMkumVZWJbV/udUKvUFVy5Jh7+dFeNZy92tvUp90iRtugztntjnRHrW9tjUlGVdY4a2rEN1cRhdU8iYDmnLI2RobGnJsaE5Q9/yGMmcQzyso6sqrnDxPEEsqJOIFHqUl6hQEgmwsSWPpqkIRUEIQSQAAgXfFwgBO2YHocCOahmxY2iRQLgwccW/+M2zdxEzC/MWrECQ50dM5bFjz0AbMxpdVclbLqqqEDE0WnM2o2qL6VUa3svZSpIkSUeaW2+9FdM0ueaaa/jhD38IwO9+9ztuvPFGbr31Vh544IHPfWzLsnjqqadoamriT3/6E8AeCR8hCt+/ZBJdkqT9befevzlj4biC7iVhVEWhMW3TlLHYmaauLAqRsRwUFFZvz9CWcxhYGSNpOry/LYnrQrdEkA+3pVAUKIkFCeoq29MmTVmL9U1ZVtWnac46dJQ+V32PR/5yDcduXtn+2IcVvXlo9EyeGnoCTiiEjoIvBAEVXP+T5LkGREMqkwZU8IMp/TmqZs/hppIkSdKXw2E/Cnny5MmHegm7+fWvf83q1at555130LTOb9FKJpMAJBKJDp/fWcWzM+7TbrnlFq6//vovuFpJOnLsrBjPWi41iU8SxaGARk0izLZknk0tWYZ2+2RjumvbF00tJLPTZqGjYTwcIBbUcVyPjS05UqZLTXGYgKZiuh4p08VyfJKmi67Ah3UpioIG7o4BoY7noysKmqagKApFoQDpfIoNzVk830cIgev7hHUVDwgbOlnLIagqqJ6CY3sIQFVA1wDXJ57NkYnF8TWfVWW1xMws9ZU9eOa4WSybciax6nIyDRlSLXmCukokqFESCtCas6ksCjFtcNVer0uSJEnSkefVV1/l+OOP58Ybb2x/7Prrr2fRokW8/PLLX+jYV155JQ8//DDDhw/n7LPPpqamBl0/7H+8kCTpS+jT7RojAbV9718eC9KQtgjqGqqiUBZTWLqpDYTPkG4JDF3D9nxqi0NsS5p8uC3F0o3NZGwP1xMUBXU2t2YpCgaIhzU2NmcI6grrm3Ksa8iwPWWSdXavGi/LtrX3M/dVjYZYKY6q8eyg43hg9Gks6T4YXVFQVIjpKgIFy/VBFcQNjeKwTmnU4OhuCc4a1Y1RvcqOqJYtkiRJRyK5y92PFi9ezG233cZ1113H0KFDD+h7XX311Vx55ZXtf06lUrLti/SVlrU9WjI2JZ20KimJGDSnbbK2Ryyot9/6Wddm0pKzaUjlac3aKIpK2FApDgfpWxGlOhEkYznoioKuKpiuR0PKwnI9oiEd33TwfZ+WnMPGpiyaXkigp02H8qIg4YBGxnKpT5kENIWAphIxdPpV6azalqYoYpC3vUJCPaARNTRack77uqvtFOe/vYCvL3mGZd2P4mdf/zmKgA1ltVz54/9HbsQoqkuiHFsZozhiMKA6zjubWkjmHQKaSiigMaRbjGmDqxhc0/GHdpIkSdKRa/v27Zx//vl7PD5+/HjefPPNL3Tsv//974wZM4bFixfL5LkkSQdMR+0aQ4ZKU8amsihIzvawXY+05RBQVba15dmeKvQz15U0IUPDdD22tGRoSjtsbcvRmLUoDhuM7JHAcgVb2nKsqkvRnLMwHR/PK9wZ6u+6ECE4buO7zF46j2lr3mL6t3/H2vLCz+BzJ1/CjVO/S2OsBI1CokVVC4l3X4CuQ21RmLF9Shnfp4x+FVHKikJUFgVl8lySJOkwIXe7+4nrulxyySUMHz6cX/ziF58Zv7MCvbNK853tWTqrVA8GgwSDwc+5Wkk68riej+sLDP2TTajruqxqyJDOu0SCKtGARnPGIpV3eG9LGxtbcuRtj3WNaTY25/A8iEd0ooaG62d4d3MbPUpCpEwHyxU4vk8yZ2O5HvFQgGBAI2M6+ALiIR0PgWU5tGVMElEDRSg0ZyyaMxZ52yUY0KlOhOgWD9KQtnFdHwEEVEjmXeqTFlnbpTikMWjdSi5452lmrHoNwysk1XXPJeBaZDBIRHS6nzCJ4T3LGNItTnU8SM7xcT2fb4zpTlPGJmd7RIM6vUrDsgJdkiTpK8pxnPbes7uKRqM4jtPBK7rONE2mTJkiE+iSJO1Xu1ad53bpab5ru8YtrTnWNGRoSYTwPJ/mjM3q7RlUVUFRwFAVLM+nIWOxuTlLW94hqKsEAxrWjl7nni9Y05CmJeeytTVLtpNLYtzM8I2VL3LRsmfp17Kl/fFJG5a2J9G3JKqAT/qcB9TCHaWhoEZZ1KBnaZRZI7szeVAlCTmfSJIk6bAkd7z7SSaTae9zbhgdf1P82te+BsA//vGP9iFOO1/zaZ/VM12SpN3pmoquKtiuTyigsWRjM/NX1lOfNLFdH1cUepOfNDhDIhRgXVOWiliIrO2wpTWP70NwR5LdMjSKowa259GcsfCFwHQEaxuzaKpCKKDh+D6261EaDZKzXQyt0M+8PpUnlbOpX2+iKIXY0ohBj5II5UUhbNfnzQ0tbE85tOUtdFUhEQrwtX5ljOqlEH7qSU6fdy/d13/Ufm4rug3kL2NPZ/7Rx2EqBiURje9O7MsF43sTC+rt7WliwU8+QEhE5IdskiRJ0oE1ZswY1qxZc6iXIUnSEWTXqnPHKyTLHV8wrHsxoUChKCQU0EiEDba25UmZDkNq4vQuj9KctdjaYhIJqrRkLNryHq7vkrUKbVtKIoFC1brv4/vQ4tmsbbSxvY7XUpxPcdXLD3DmBwuJOIV5ZGkjzONDp/HgqNPaE+ifJgAPiIZ0hnWPc/yACiYOqGRgVZHsdy5JknQYk0n0/SQYDPKd73ynw+deeeUVVq9ezRlnnEFFRQW9e/dmwIABdOvWjddee41sNrvbROpsNstrr71Gnz59ZIsWSeqiqKFRGjOoT5psbcvxyJubyJgeJRGdoK6SMh3asjbPvLuVmpIIqqLQlLGobzPJ2g7xcIDWnEvadMg7WqF3oi+wbI8eZRGCOuRcl9aMRTwcwNBUwgEVE5++FVG6F4epT5os2dBKQ8rEcgsDQlUFNFVhUE2MKYOqWLk1heV4lMUMgnqQpOnSlLN5Y30LE/qVM8xto/v6j3CMIG+Mnca9w2bwVnlvFBSMgMqQ0ijfntiHmSN6HOovuSRJknSYeOihh3jjjTd2e2xn8nvGjBl7xCuKwtNPP/2Zx7355puZNm0a8+bNY+bMmftnsZIkfWXtHBSatVyKIwEyliCZdxGiUDHev7KIWFBHIGjNWRSFNOwdd3bqqkJY1wkGbDY052jJ2eALggEFgULYUEnbLr4PpuMhBLT6e19PPhBi+sevE3EsVpX35MHRM/nH4BOwQhG8jiaMAiEdymNBRvYs5pQhVYzpXS5btkiSJB0hZBJ9PwmHw9xzzz0dPnfppZeyevVqrr76ao499tj2xy+77DJuuOEGbrzxRm699db2x2+88UYymQy//OUvD/i6JelwJ4QgY7mk8g6GpuC5Lo+9vYnWjE334hA5yyPnekSNAGUxlU3NWTLb03ytbxn1SYuU5aAKSOYcsraHL8B2XRJhj6KQTtp0SOVd+lbEyJg2kYCOouy4zdTyCGoKPoJU3uHNdc1sasmjAKGASkBV8fDJWT4rt6RJ5RyioQBlsSDRgMIxK1/n+Of/xkujT+TFMSexbFMLtWeex0chje1nX0CfQT25Xni8uzVFOu9SUxxiQt/STu92kSRJkqSOrFmzptOK8eeee26Px7paKfn8889zwgknMGvWLKZOncqIESOIx+MdHu/aa6/dt0VLkvSVIoRoHxRaFAqwpTVPfTJPXVueeFgn1eSgqQpDuyXIux7pvEvvshjrmjI0pi10TaU5Z+G4PgFVIaAooIPtCBxP4Dg+pluoEO9IVbqJC5Y/x9c2reC8C25FKCqWbnDdif9GQ6yUN2uHwo5royo+aduyU1SHwTVxTjiqkuMHVDC0e0K2U+yEpmmcffbZ7b+XJEk6XChCiE4+Q5X2l0svvZT777+fxYsX75ZEz2azHHfccbz77rucfPLJjB49mqVLl7JgwQLGjh3Lyy+/TDgc7tJ7pFIpEokEyWSywx9eJOlIlMw7vL81yYotrbRmHRzPZ11ThrfWt2BoKigKruejaQohTUNRIW+55B2fAdVFGKpKfdIEBUzXx/d9QoFCn8XSSJB4JAAIuhdHGFFbjOV4mK7PtrYcedsna7uk8y6W6xM2FN7dksLzoTQWQEXdMfioUJHemHUIKHBSpcKUxc9ywkuPU9G8DYBVfYfysx//HtvzOXdMLWP7ltKzNEoiHDi0X2BJkiTpgDlYe7eNGzd+rtf16tXrM2O6WlmpKAqe11nq6sgk9+aS9Nl27X1uuT4fbE2CorC1LU/edgnoKltacuiqSsZyURWFSQPKMV2fD7aliIc0fE9QHDVYtT3Dqvo0tuuRsVxasjaxoEZLziJldpLyEIKvbXqPi5fO4+TVb6CLQmn6xefewKt9Ru8RrlJInCt8MnA0rMPIHgkuPq4Px/evoCgUkC1bJEmSDjNd3bfJSvRDKBqN8vLLL3Pdddfx+OOPs3DhQmpqavjJT37CnDlzupxAl6QDadfNra6pRA3tS7ExTOYdFn60nTfXN2M7hbU1ZEzWNeZwXEFIKxSLOIDvCVzFx/UEAoEvYGtbnpp4CM/z8BRQFQWhKHgCgrqGqqpkzcLmvTQaYEtLjmhQQ1UUNrXmcVyfeEhH0xTiAZ31TVkcH3QFXE+gawJNAV8o6LrC2PqPOe+dpznjo1cw3MLUonQ0zsvHzeTt6efSrzJGa9ZiaPc4Q7slvhRfY0mSJOnw15Vk+Oe1cOHCA3ZsSZKObLv2Pnd9gem4bEuahAIapuNRHgshEBSFAiTzDuWxIB9vT/Pc+/WgQH3SRPiCXuURepRGqEmESGYt3t7QQsZySVs+TZ1MCo1aOb7+/ktcvPQZBjZvan/8jdqhPDjqNBb3HL7HazQKSXRDh0gwQDCgMbx7EeeP7clxAypkRbUkSdJXwBFTib5s2TIeffRRPvroI3K5HC+88AJQqL558803OfHEEyktLT3EqzxwZLWLdCB8enOrqwqlMYNeZYe2SloIwetrm5j37jYcz6c6EaI5bbKxxaQ5Z7FuewZdhXBQw/NBQUEo4Hs+nu/j+hALasQjBhnTQQgKw0d90DUoCRt4nouvKESMAL1KQ9iux4DqIloyLlvaTCzHxfIEkYBOcUSnLplndUOOoAZBXUXTVHRFwd+RlP/vP17JuA0rANjU52j+ddK5rJx0CqF4EZGATs52aMk5/GjaAPpWxA7Z11aSJEk6OOTe7cgm/34lqWNCCLYlTd7b0oblFvbxQV2jLW/z+ppmUjmHgdVFFEcK7Qtztsvm1hxbWnJsbM5h6AoDKmK0ZG3yrk9JJEAsGMATPm+vbWZDq8lntDpn3OaV/O2RXwCQDYT4x5ApPDD6ND6u6N1hvKFCzFDpVhJhdM8ShnZPMLJnMf0ri2Svc0mSpCPAV6oS/aqrruL2229n5+cBu1ZwCiG44IILuP3227n88ssP1RIl6bCz62CfkoiBoRfanNQnTdKmy9DuiQOeSO+sCj5tOryzsZWM6dCtOIwQgrTpoaoK5RGdjRqYLmAXXieEh4LAEyq+gIihUxINkLU8NEUlYzuYTuH64Xqw3TLxAF2H1pxDfdLE0BU8oRDUdWoSIdpyDsm8jet7FIVCVHkGaxtyuB70zWzn3Hee4dHjvkFLrBQUeOCYM9gSLeO1k8+l8qTJaKpClaaiULherWmwGNK9iF6l8g4USZIkSZIk6ciTzDtsaMqwdGMbTRmLilgQx/MpiRoEdZXKIoNNTTlSeYdEuNAWRQiB7fqsbkiTyTuEDI1V2zMkIgGEEDRlTFbVp9namiXTQeG57rmctPoNyvIpHhpVGKT8Vo8hPDtwAm/0HMb/DZ1KOhgF9uxzDhDSoFsixPEDKzhtRDeGdCv+0tyZe7jKZrPEYoWioUwmQzQaPcQrkiRJ6prDPol+7733ctttt3H66adz00038eijj+42pLN3796MGzeOJ598UibRJamLdh3sU5P4JKkbCmjUJMJsS+bZ1JI9oG1Hdq2CdzwfVwjiQZ2wofJxfYalG1px/UK/c11VMT0XT/jkbUE8pNOScbFcga4IBIWkuid8AirEQhoKCq7vY3kCVYGQoaIrAs8TZNzCGjRRaM+iqwLXV1jXlKMoFOCo6hiaplAZD1GfNGnNOfRIBDl50zuc89Y8pqxdgooga4S5d8oFWK5gwYBjWTHmBL7Wt5T1jTm6l4TAgLztsbXVpDgaYNrgKnkrqCRJkiRJknTE2Vmg05yxsF2f8liQnOOypikNKFTFQ3i+j4fPmqYMxZEAlufzfl2KrS1ZMqaLJwQZy8UT0JixyNguOdPF7qD0vCLTwgXLn+Ob7z5HdaaFlBHh/4ZMIWeEQVH497N+uVu8SiGJ7lFo3VIS1hndu5hJAyoY1qOEod3jcp8uSZL0FXfYJ9F///vfc/TRR/P444+j6zqGYewRc9RRR7W3d5Ek6bNlbY+WjE1JZM9/TwAlEYPmtE3W9ogFv/hl5NMV557ns7IuRdZyCWgqSdOhriXPB9tT1Lfl8HyFtOUS3HH3ZMjQyeRdspaPQJAIB/GBvO3j+QLPL/RBV4FwQNtRUa6CAM/zCekquqpguy55txCnqoU+6ZquFvqiR4K05mxaMiYtGR1DDwAK1W6OE+Y/zfRXn6CyYUv7Ob3aZxTLuw3CcX1Mxyce0fnhif0Z0r2Y59+vZ31TDifpE9BVhnQvYtrgKgbXJL7w11KSJEmSJEmSvkx2LdAJB3Qa0iaO61GXtLBcD01VCOkqfcujbI8ZbG7Js74pw+bWHG1ZB4EgZ3u4voeKSipv7ph1BLs1pxWCcVveZ/bSp5n+8esE/MJA48ZIMX8ZMR3d/2TAscYnQ0IVKBTVBFRqisOcMKiC88fWUpGIyKpzSZIkqd1hn0T/4IMP+O53v4uud34qVVVVNDQ0HMRVSdLhzfV8XF9g6B33+AtoKq4vcL3P6jj42T7dd11ToDVvo6IQjwRYvT1NynRoy9k0pWxa8w6GquJ5Hm025N083UtD+AIyjkNRsNBiJqTr9CkNknM8knmXtOlQFNSoiBfavzTnbLK2i6ZC2vIQAnQBO7fIqgKuLwgqCioKvi9IhHSaMj7bUw59KoK4uRx3zzmPWDYFQDYc48Xxp3LP0JNYneiGpigEVIUBlVEuPb4P5xxTGO42qDLGxpY8WcslGtTpVRqWlS2SJEmSJEnSESljuWxty+N5PhtbszRnLJqzNi0ZCx9wPJ/tKRPL9akoCrGlJc9H2wvtW1xf0JS1SOV33CqKx85UuAJou/Rg+e5b/+CaRX9uf98l3Y/mgdEzeXbQBBztkzaUO3fdqgIRHWqKQ4zsWcqE/hVMHlhOIhKUiXNJkiRpD4d9El3XdWzb3mtMXV1de88tSZI+m67trMz2CQX2TO46no+uKujaFxuk01Hf9WTO4cO6NKbr4rgC0/EQwLa2PEmzkCTXlEJ1eM7ysFzBluY8FfEgCpAxbRwf4uEAEUMjbXsoSuHPmlL4AEAIgeKD44IF7cOHXAqbakUBTVXRAENT8RHYnk9ccTlh7Zu8P2oSWdvFRmfJiOPpu3k1r518Du9PmUnvnpX8W1GAvAum41FeFGTKgDKCwWD7eWuaJoeHSpIkSZIkSYc1saO9SipfaEYeDweIBfXdEtCF/X4bH25NkrFcWrI2DWmLrW0mRSGdIkNDIGjO2Ly3JUkspFESNmjOmKRMl9acQ8by9uhVDtC3eTO677OqolCo8uygCVz++qM8efQkHhp1Gh9U9e1w3R6Flo3VRUGmHF3J10fXMqI2IYeESpIkSXt12CfRhw0bxksvvYTneR1WcuZyOV544QXGjBlzCFYnSYenqKFRGjOoT5q79UTfqTVnU1McImp8/urpzvqut+RtNrfmaM0WKlPKIgZteYfmjI3t+STCAXwfYiEDFYeIIWjLO7RkLDRNIRIIEAlqFEcNHM8npGlEizRypoug8MGAbXu05O32pHlAAU8UkukeEGRHVYuiEA1pFNXX8fW35nHm0ucoziaZ0+9+tlcMJmt53HPeleiRKP0qY4yoiXNUtzg9S6MHfOiqJEmSJEmSJB0qybzDB3UpPtqWpC3ngALFYYNBNUUM6ZYgEQ7s0gfdRtdV3HyhWKU1Y2HaDoWbXn10RSWsq6RNB9/3qS0Ns77JpSVrYblit4Gfmu9x4uo3uXjZ0xy/8V0WDDiW7339VwBsKa7mmP98EDMQ6nTdugLlsQDH9SvnwmN7MbJniUyeS5IkSV1y2CfRv/3tb3PZZZfx/e9/n7vvvnu351KpFJdddhn19fXcddddh2iFknT4URSFXmVR0qbLtmSekohBQFNxPJ/WnE00qNOzNPqFbnPsqO96Om/zzvoWWrMORWGDVN5GUxXytofleaiKSsZyiRo6oYAOkUKluKFreL5PdTzE0TVFjKgtAUUhYzqsa8wSMVSWb04R1hVSps2KthyeJwjphWp0TVXQFBC+wPLBEqC4LlM2v8fs5c8w7v3FaKJQr96QqGCgk2RQ/zIcXxALdaN/ZYzakjBGQJd9EyVJkiRJkqQjWjLv8Oa6Zj7clkJXFaoShaR1a9bm7fUtZEyXcX1K2dSSI2M6VBYFqU/mqU/laU6btOYL1eUp00FTVVQVQnqhS7mqGHy4NcXmlhyWU+h7rilQnm3lvOXz+eby5+iWbgLAU1R8RUHzPdA0fEGnCfSIDt0SISYfVcV5x/Sgf1VcJs8lSZKkfXJEJNFfeOEF/vSnP/HXv/6V4uJiAMaNG8eHH35INpvl0ksv5eyzzz60C5Wkw0wiHGBo98Ru/cp1VaGmOLTPldafHhwaNbQ9+q6nLYfX1jaxvimLrhY24Zbj4YQFYUNDZEBVBRnTJRrQ8XyfgKZSHA4Q1FVsz2f60Gqq4iFytkfIUIkYOq7w2dxqgQKm59OaczFtj6KghutDVrh4QqApCqqqoPmCHq113Pf36+jTWtd+Dm/3HcWTx80iP30G4wZWURELUh4PyqpzSZIk6Stv2bJlPProo3z00Uftd4ECbNy4kTfffJMTTzyR0tLSQ7xKSZL2ByEEG5oybGjKEjE0ymOfJK3DxTqNaYsNTRkCGjSmLPKOT11rnuaMzYbGLA1pEyFAUwW+Ax4+pgNZ00cAybyLoSo4vkDRAA9+/PKDfPfNxzH8Ql/05nCcv444mUdGnkpdogpd2zGzyfVx/E9aNQaAeFhjaI8E046uZspRFfQo+WKFQNIXp2kaM2bMaP+9JEnS4eKwT6IDPPLII0yZMoW7776blStXIoRgyZIlHH300fzoRz/i3/7t3w71EiXpsJQIBxjWPbFHAnxfNp6fHhyqqwqlMYPyWLC977rrCz7YlmRrW55oUCMa1GlIWSRzDk0Zk2hQR1EKQ4lURSVp2uQcl+JwgLSuYjsu3RIhhnRLoKoKK7e2saq+MJB0XVMGRSgM6Z4gY7lsasnieD5BQ0VRFGJBHcsVRLNJ2kIxFKAuXknUtUgHIzw54kSeOPZ0jKFDmDmihskDq4gY2uf6WkiSJEnSkeaqq67i9ttvR4hCs4Vdvy8KIbjgggu4/fbbufzyyw/VEiVJ2kcdFcDs/LedtT3qkiZCCIK6TtZ20RQI6oWYgKawoTnP2sYMLVmbaDBA90QQdtzVaXsCzxcIIfAEKDumhPqASqFti5rPo6HiGwaaCg1FpRi+y7KaQTw05jTmDToeSy/czapRaNGi4YOqEAwoRIwAPRJBju1fzilDq+hVXrRHr3bp0AmFQjz99NOHehmSJEn7TBE7d7xHiHw+T2trK/F4/Cs1TDSVSpFIJEgmk8Tj8UO9HEkCOh4caruFljARQ0NTVVJ5m5ztsbklR2PGIm06GLpGynRwHEFrrtALvTVrkzZtikIBEiEdFAV/x+a7OBxgeG0xQ2vi1KUsdBVqiyM05yy2tJqk8jaKotCjOMySDS28sb4FFYgoHjNWL+bsN56konU7M398Pw4ghMKp9mbSPftRXFnGuH5lTB5QTiISlJtvSZIkab84EvZu9957L9/5znc4/fTTuemmm3j00Ue59dZb8TyvPWbChAmEw2FefPHFQ7jSg+9I+PuVjlx7S5J3VgDTq6xw92VbzuaZ97axZnsaVVUK7VZQiAY1AprK5tY8W1qzuD74nkdJUQjFh5acxfqmLMmsg/WpDIRCIYHep20rs5c/y5nLn+e2ad/i4WGnYOgQNnPUNtfxQU1/VAV2XmIUBRQVdBXChkZFUZgBlTGOH1DB8f3L6VYclnt3SZIk6TN1dd922Feiv/LKK/Tu3ZuePXsCEA6HCYd3H4S4efNm1q9fz6RJkw7FEiXpK+nTg0MFgrzj4XmCRCRAW9YmHgmgKgrrmrIUhXSCukpWUWhKmYQN/f9j777DpCrPxo9/T5k+u7Od3aXs0rsUBRUUsAEKr71HEVs00SQmJjH6qqDGWF+NP40xiYmgvAQ1GF9jr0BUVKRYEel1l+3Ty2m/P0ZWNhRB3Qb357q4mDnnmTn3nGd39pl7nnM/FOa6CHpU1tXF8eoqGV3Fsm0My0bVVDIZi2jaxLYdqpsSxFMGuT43RUEv2yJJDNOhZ1EAy/azpiZGU8JgSFmQ+tXrOPHt5zhrxSsUxhoBMFWNQ+vX825BT/L9LkKjjmRi7xJGVuSRt1PddiGEEEJkPfzwwwwcOJD58+ej6zpu965/LwcMGNBc3kUI0f72liQHdjsBpjqcIpoyGdI1RCJjsT2SoimRIc/nBhUiGZONDTEaEybxtIkCeF0aJTkeoimDaMpkbU2cWMbiP1Paqm1x7NoPmbbsecZtWN68/Zi1HzJv2GQcGzI+P1+U98GjZR+tKg4eTaNrvo/h3UMM7ppHt3wfXXK9lOX5yPG6JHkuhBDie9fpk+jHHHMMM2bM4Oabb95jm8cff5ybb765xawYIUTr2nnh0Fg6u0BpJGFgOg66ouBxqxi2Q5/iIBvq45iWTcqwCCczRFIGtfEMW5ogkbZIGNmBfEVRCMOyWV+XoDGcxHZAV1UypkVD3GBLU4rioJeSXC+JtEU4aVCc48Gja/QvDaJ+9hkT/v4w17zxMqqdfT+oyynkhSOm8uyoE9nszSffq3POYd04dUR3ykJeGYALIYQQe/D5559z+eWXo+t7/kjRpUsXampq2jAqIcSe7Okq0epwikjSQFWV5gkwO3hdGmUhH1XhJBvrY9i2g6pAImOzJRzBthxiGRPHdkiaFm5do8CnE0ubfLk9Q1PSJG2ZRDPZci47Zp3bjsMVH8znwmUv0i2SfY+wUXh/wGj+eeQpLKocgcfMln5RVQjoKpqqkDJMvLpGn5IczhrdjYmDymTCSycTj8cpKSkBoKamhkAg0M4RCSHEvun0SfR9qUZj27YkwoT4nux8+aemZn+vLNvZ5XY4kaEpaWDaDlXhJCnDIsfrwqWpGJZNOJmhNpqmS64HTYVkBlRFoT6WIW3ahHw6KcMmZVkkMxYe3cTBTSxlNifPNU1F1xSSpkNtLEPAo1EXS7OqOsKgsly2h1PE0ya5Pje6quHKpCl5LVt/b9uw0Twx4iReHzAGU9HQNIXhBX7OOLQ7k4eWyXuGEEII8Q10XSeTyey1zbZt2w6qEotCdFQ7rhKNJjN43TqNiQxuXSXf76Is5GN9XYyGWIZB5bu/jD3f72ZrY4qEYWJaEM+YJL+6IlRTFAwcIgkDXTUwDRf18WxJxuyxv34em2wdc1VROHLTJ3SL1NDozeHJQ07guSOmkOxWQa7HTZ5lEzBtvK5sYt+0QVcVuuT6GNOnkNNHdqN/aa6M2TupRCLR3iEIIcR+6/RJ9H2xevVqQqFQe4chRKe1I3HeEE9T1ZQikTGJJA2qIilsG/xuDduxUVDxuVWSGZu0adMYT5G2HFSgT0kOHj27+rpH1wj53KyrjfHRpsbsokKKg2HZBDw6OR6FRMYkmXFQHAi4VTKGxZfVMXxuDRwFn9uF5dj4XBqWDWnTQlcUgl6NLY1JjkhUcdqTs1H9fjbecBumbRMbPJzNv7yR5KST2FDWkxMCGhNshXDCIC/gYkS3EC6Xq31PthBCCNFJDB06lDfffBPLstA0bZf9iUSC119/nUMPPbQdohNC7CyesVhVHWVjfYzGuIFhObg0hZJcD4O75hH06KytjWH9xyQ127ZpiGcnx1Q1JYmnMsQMm4pCP4UBN2tq45iWRTxtkjQtDBPqElbzjHNNBb+V4ZRPFnL+ipf58am/oTq3GIA/HHk2Lww4mucHHE3a5aEg4CLgKOi6Cmo2cd8tz0PI5yI34KFLjocRPfLoU5KDqqptfxKFEEIc1DplEv2SSy5pcf/ZZ59lw4YNu7SzLIvNmzezaNEiTjzxxDaKTogDy466iZvrE6yrjZOxbfwuje3RFLGESco0SRk2hTluQl43Gdsmx6Pj1lQSGZvaaIpQwM2mxgQ98v343Nm3nUjSwK0rNCVNRvbI54uqKFsbk+R6XaQyFg2JDI0JA5+u4nFppA2LtG2i6yoJwyTo1rAtBcNy8Lo0VMDMZDjys8VMWvQMQ9Z8BIDh9fHRxT8j4fNTGvJS9eNraEoYBDw6vbuECPkkaS6EEEJ8G5dccgmXXXYZV155JQ899FCLfZFIhMsuu4zq6moeeOCBdopQiAPP3hYF3ZuN9XHeX1eP45Atd+hSSRs2mxtSNCbqGNk9BA4kMxZBjwvHcdjUEGfZxgY2NqSIpw0SGRvTsijwexhQnoNbVwlGUtREDZoSadLm18dzq1DaUM0Plr/I2Z+8Rl4yCsAPVrzM/eMuRFVhWbfBLO02GIdswj3kc6EAsaRJyKcztGsuR/QppE9JLgUB9z6/ViGEEKI1dMok+qxZs5pvK4rCihUrWLFixW7bKorCqFGjuP/++9smOCEOIDvqJsZSBtG0idulElA13l/fQCJjMqA0h1haJZZJkshYmFYa03bw6SqW7VAdTrE9msawLCJJE8Vx6FEYIJqyUDXwu3RQFLwujfI8LzbZ0i9NCYOUaeFSHIpyPBiWQzhpkDYs8r8q0Zg2bcBBUTTK4g1MfvdfnPTe8xRG6gGwVY1tEyZRe+ElGMEA2KBpKom0RVmelx4FAUmgCyGEEN/BJZdcwuuvv85f//pXnnzySfLy8gAYPXo0K1euJB6PM336dM4888z2DVSIA8TeFgXd27jWtm0+2txIImPRuziIS8vO4va7VXoU6GxqSLC6JkrI56YulsayYfX2CO+tq6MunkFTVSzDQtFU6mMpNjXEWFsXRVMUmhJpMla2TIsCKLbF+PXLmLbsBcavW4pKdmb7ltwS5ow4ifmHnIBLg1yvK1sGUoNwwvxqoo1DjtfNgLJcjuhdwKjKQlmjSAghRIfRKZPo69evB7Lfwvfq1YtrrrmGn/3sZ7u00zSN/Px8WahCiP3kOA6xtMlnW8PUx9KU5HqoakqR69PZ0pDEdhyCXp1w0iRj2RQEPGQMi4Z0BremsmJLGJ9LRVUUFMUmbTpkLIOV2008bp2KAj9Bj87qmhhel4qqQDRlUBtOEk5ZoIBjg6KqGKZDrt9FJJkhZUDasLM11A2bwqAbr0tj0pv/4sLXZgPQmFPAG0edTP0PLqJscF9yvS6OCLooCnrxu7X9mrEjhBBCiL2bO3cuxxxzDA899BCffvopjuPw4YcfMnDgQH76059yxRVXtHeIQhwQ9rYoaDRlMqTrnq+wrI1lqI2k6Z7vI5Yxyfe1XIizKODii6ooA8tz2NKYYFN9gtpYikTGwu/RiacMkqaNAkRSJkkTYv+xHoJOdja5z0jz0P/dRcBIAbCg56HMPXQK7/UfRcpRsG1wKWDYNpqmoCkKPYsDHN6rgMqCAId0z6NvlxxyvC4ZrwshhOhQOmUSvaKiovn2Y489xogRI1psE0J8O47jUBVOsb42xqbGBOtr4+R4dJoSGWJpE5fLRTRp4NZU/B6NeNrEAXK9OknDwXFgW1MC21HokpODR1eIpS1MC/IDO2aXaPQqDpAybZKGhd+l8enWMG+vriGctMiY2QVI0zjYtkM4Y6CooKoKfo9OwExy1vI3+CzUlbWDR+Fzqbx4xEkMWbOcF8eczKoxJzB+aDlTh5QT8OiSNBdCCCFa2eWXX87ll19OMpmksbGR3NxcWUxUiO/RjkVB42mTspCvebvXpVEW8lEVTrKpIc6Q8tBux7wpwyJjORTmeKgKp6iJpsjzu9BVlXjGZGN9jI0NCdKmRTRj0xhLEUkZ2BbURpNomoauqsSSBkmr5XMPrVrN8Ws+4P6jzkdTFeIeP48fOhWXZfK/I05ic0E5ugY5Xjd+xSGcNNFVBcdx8Gg6vYuDjOlXxNjeRXKlqBBCiA6tUybRd3bRRRe1dwhCHBDCSYPPtoV5b009VZEUhmkTSRt0yfFQHU2SzNh0s3xkbBuXpoADDtnLNjOWg+pAKmMRS9t0yfWAAg0JA8txUIAtjQmCHhfhuEFT0iCVscjx6lRHEmxtzF4GWpbvpyqcIG6YWHY2OW85EE6aDGzawn+9/SwnLH2NQDrBhwNGcfOw0YQTJrW+Am746QP075LLlN6FTB5SRp7f/Q2vWAghhBDfxaJFi6isrKRHjx4A+Hw+fD5fizabN29m/fr1jBs3rj1CFOKAEM9YNMQy5O9hfJvvd1MfzRDPWAQ9u37ETxsWNZEkNZEUqgbptE0sZYCiEEsZ1MbSOLaDjQK2g0tVyRgWKQOyZc6tr/5lec0MJ33xb6Yte4HhVV8CsKDXoSzvOgAVuP/Y6aiKgmU7uNXs5wXTtrGBikI/Q7rm0C0/yLDueQwtz8HrkXrnBxNVVRk/fnzzbSGE6Cw6fRJ9h1QqxZIlS9i2bRvpdHq3baZNm9bGUQnROYSTBp9saWLZpkaqIymCHg3FoxFLG9QnMqgO1EQzbI+kCLo1LAds28Hr1nHrCuFEhoKAi/qEg+XYeHSNSNIgmjLI87sJejQ21idojKf5cGMDHh0Gdc2jstBPbSRNU9Igz+dCVUzyvC5iGYt42iSdyjBx7fuc9u7/MWLtiuZ4q7r04NPhR5Hn0wj5XJTkeBjaLcSongVUFuXIDBYhhBCiDRxzzDHMmDGDm2++eY9tHn/8cW6++WYsy9pjGyHE3pmWjWk7uPXdJxxdmoppO5iWvcu+zY0J3ltXT2MiOzYvy/PjAPG0QfSrMopNsTSappHImNREUjQm0ySMXY/TLbydHyx/ibM/fpXCZASAtKbzYv+jiHgCaIDXrWZroys010NHyd4vD/k4YVApEwYUU1EYlDH7Qcrn87FgwYL2DkMIIfbbAZFE/8Mf/sBNN91EOBze7X7HcVAURZLo4qCyo655JJkdAef6XAQ9+i4zPHZcHlofSxNLGnh0lXy/BweHvJTJmq/qlrt0hbRhoasKDUmDZMok4NXJ9bhwcEhkNFKGg9+lEc+YODYEPBqmZbO2NkU8bRJPGzQkDOIZi6pwGq9bpyDoxqMr6CooqoOmqhQFNcryvFz74K844vPFANiKyhejx7P2rGl4Jh7PIbl+RrtUPLpGvt+F26XLDBYhhBCiDTmO841tbNuWv81CfEe6pqKrChnTxuvSdtlvWDa6qqCpCrG0iWnZ6JqKaVos+KKGqnCakRUFfL4tTG0kTdrMfqmVSBtflXAxsW2DbY0JTHvnOedfG75tFc888cvmxPjWnGL+PuJEnjpkIg05edh2dsa5poDfpZMwLRzA61LpURBgbJ9iThxaSs/iHBmzCyGE6JQ6fRL9mWee4Sc/+QlDhw7lpptu4tprr+XUU0/l8MMPZ9GiRbz00kucccYZTJ06tb1DFaLNhJMGn2+L8EVVmKaEAQrk+dz0L8thcHmIXK9OPGNhWjZp06Y+mkbXVCJpk8Kgp/l54hmTcCpDbczB59JIGxZ+j4nlgKIq+HSNHJ+Oadk0pTIEPDqFARdbGpMARNMZEhm7+fJNy8wuQpo0LFbVxPFoCmV5vubHjdiykk8KurPN9qAqsPzQ8QzcvJKXDp/KipPOpnhwP8b0LmJQea7MXBFCCCE6gdWrVxMKhdo7DCE6tYBboyDopjqcalETfYfGRIYcn8662hiNcQPTdtAUqI6k2FyfoFdJEI+u4dYUlmxoIBrJ0JQwCCcyX81yB8vKlm5RyJZszE3F6FO/mWVdBwLwcWkftoRK2JhXxhMjp/Bmn9Fobg0FUJ3sTPMdpR4NxyLg0uhamsNxA0o4bkAX+pQEpXSHEEKITq3TJ9F///vfU1JSwuLFi/H7/Vx77bUMHz6c6667juuuu465c+dy0UUXcdVVV7V3qOIg4ThOc4K6PRa1DCcN3l9Xz8qqCLqq0CXkxXYcNtcnWFsb5aPNTfQrDqKqCpYDKcOkOpymKMeTHfl+NamsLp5mY30CDRWfDm4NkgYYhkNhrodu+V50FMryfXhUle2xFOGkwbZwisZ4GtsGm+yI2qWqJDImbl0lbdk4JiTSSYJujaCR5KgPX+fYN/5B+abVvH7lf/PyMWdRHUnx5shJvDHiOEpL8vmvYaUM7VZAWcgrM1eEEEKIdnLJJZe0uP/ss8+yYcOGXdpZlsXmzZtZtGgRJ554YhtFJ8SBSVEUKgoDRFMmVeEk+X43Lk3FsGwaExkAokmTaNIk3+/GrauEEwbrauNEk9mkuods/WlNBdOwCcczxDM2tpOdPW6TTYAP2r6WC5a9wKmfLyTm8THmR49haC5sVePEix8k7vE3x+UGPF9NtMkAXh16FPqpLAwwqmcBxw7sQtc8v4zdRQvxeJzKykoANmzYQCAQaN+AhBBiH3X6JPrHH3/M2Wefjd//9R/znWsunn/++cyePZtbb72VCRMmtEOE4mASThpsrI/TEMtg2g66qlAQdFNR+P2uNL+nRL3jOGyoi7GhLo7frVEU9FIfS7OyOsy2hhQNiTQLV9VSkuvhyN6FDO9eQNCr01QdJZrO4AD1sTSlIS9bGxNkTIeCoAvTAgeHEAq9ioMkMhYeXaVryEfQ42JtXYzV22NUR1Ik0yZpyyHo0YmmTBwsYkkTTf968Ox3aVTWb+HYhc8wZdmrBFNxADJuL+5omLKQB9uxSHo0KgsDnDKinP6luTIAF0IIIdrZrFmzmm8risKKFStYsWLFbtsqisKoUaO4//772yY4ITqhfZ2AE/K5GNI1lC3DGE0Tz2Q/8xbluLFtiKXNFrPUdU0h5NepiSRYsakBv1tjc32StbVRoimTtJmtv6ICHtvguM/fZtqyFzh02xfNz7Ehv4zSaD1b8kqzddR3SqCrZJPuaSNbh70kx83Jw8s5YXAZfUuC5HhdMnYXe1RXV9feIQghxH7r9El0wzAoLi5uvu/z+WhqamrRZtiwYfz5z39u48jEwSacNPh0a5h4+usZIBnTpjqcIpoyGdI19L0k0veWqNdUhW3hFDiQ43NRH0vz4aYGqsMpPJqK252tV14TSfPmylq2NqYYVJ6LZTusrYmDA9G0QXUkRV0shc+lkMhYuFUNTVUI+d3keHQ8ukZVOE0ibRFOGjQkDdIZE8d28Lk1VEslZVi4NAXHUUkrFpqi4HNrOKbF7bNu4LAvPmh+TduKurL57GksO/ZU1jseYrVxfG6No/sVcnS/Yrrn+/dyRoQQQgjRVtavXw9kE3+9evXimmuu4Wc/+9ku7TRNIz8/X2YYCrEX4aTBhroY28Ip0oaNx6VSHvJSWbT7RTdDPhcVBX6SGSu7BhHQEM+wPZymZ9HXv2uO49AQS7N8UyMrqyJEkgaaqpI2LWwbNFXJLlJqORy7ajG3vfgghYns+mKGqvFyvzE8PnIKS7oNRlcVvJqCg4MD2BZYDugauHSNoNfFoPIcfnB4BeP6lUjiXAghxAGr0yfRy8vLqaqqar5fUVHB8uXLW7TZuHEjut7pX6rowHYszhn/jxkgXpdGWchHVTjJpoY4Q8pD32lg+U2J+u4FPtKGjaKCpsKa2gh10TS5HheKAvWxDKqqEXCpqCpsaoiTyBjkeNz43Tp1sRSgsK0pSWM8g0dX8bg0cnNdhPxuFMB0HBJpk811cRq9OgGvi5DXRYNhY2HhUlVKAx62h1MkTQu/S0WJRcm4gqRNG4+uYXq82IrCh4OOZOEJZ/LvihGcPqoHvUM+SjMWAY9Gz6IgvYsDUjtRCCGE6EAqKiqabz/22GOMGDGixTYhxNf2Nss8nMiw8Mta1tfFUFDxuRQcR2FzfYLtkTSH9yrcJZEeThp8ui1CPG3SJdeHW1epj6Wpi6XRNAWPS8NxHN5dU8Nrn21nY0MCw87OGtdUC9sBy3LwJBMkvX48ukpNUTmFiTDVwQLmDj+Rvw+bRG2wgB2fWBxAURxUFDy6Qk7QRe+SAIdVFtKj0E+PAj+DynLl87YQQogDXqf/Szdq1CiWLVvWfH/y5Mk88MAD3HHHHZx88sm8/fbbPPPMMxx//PHtGKU40MUzFg2xDPl+92735/vd1EczxDMWQc+3+7Xbl0R9dTiNW1dwbKiNJtlQlyBtWM21DzOWheNA2nLwKBo10Wztcl+RC9NyUFUI+TzoKkRTJrqmEHSr+FwahQEXNeEkn9ZGCScNkqaN4TgogK5rWI6D3+3CsrMfFEqCLoo++4wz3v8/jv38Hf7r8j/QVF6BV1f5+6lX8sjJPyLdrQK3qlCiq4yqLKBrvr9d6sgLIYQQYv9ddNFF7R3Cbq1YsYKnnnqKpUuXsmzZMurq6hg/fjwLFizY6+P+93//lwceeIDPPvsMt9vN2LFjufXWWxk5cmTbBC4OKHu7etRxHF74uIolGxpwaSoBj06eXyfP68awbVZWRcjxujiiV0HzmPg/Pws4jkPSsHCAHK9GbSRFJJHh821NfLCxiaaYgUW23rkDeBJxzvz0Dc5f9iIryvvxqym/QFNhbWkvfjjtDt7vNpi0omLZ2VrnqpJ9rGFn/7lVKAr6OLp/EWcc2p1BZbJgsBBCiINLp0+in3XWWdxwww1s2LCByspKrr/+eubPn8+NN97IjTfeiOM4hEIh7r777vYOVXQi+7s4aHZVeyd7WeRuuDQV03YwLftbx7SnRL1DdgCtqwp1sRT5fhdLNzTw0eYwGxvi2LaDpqrYODiWjVvXyPW58eo6kZRB0rDY1pjAUaAk6CbHq+F3e4imLcLJDD6PTjJt8OmWNFXRFBnDwrYdQgE3Lk0hnrFIJgy8bhW/rqKlDI565yVOf+85em3+sjnOiWveZ26X7gCsCpWjqwo5CrjcGhUFfopyvOTt4UsIIYQQQnRcqVSKJUuWsG3bNtLp9G7bTJs2rc3iefbZZ7njjjtwu93069dvn2rv3n777dx4441UVFRw5ZVXEo1GmTdvHmPGjOGNN95g7NixbRC5OFDs7erR6nCKZMbk4y1NeF0qpSEfpuUQTpikDYdu+T4yps2q6jBDuuaS483ORt/5s0AsbVLVlGB7OMnWpiRr6uJEExniGZOmhEHGdLLlVhSFPtvXc97S5znl0wUEjBQA+ckIXjOD4/WhqgrvVQ7HBvLcGmnTwjQsUBT8Hp2Q303XPA+jKgoY07eYoV1DaJrWjmdXCCGEaB+dPol+2mmncdpppzXfLy4uZsWKFTz66KOsW7eOiooKLrzwQrp2ChlkXQABAABJREFU7dqOUYrO5NssDqprKrqqkDFtvK5dB5WGZaOrCrr27UuTGKZFLJ2dHW47Dj6XRjxjURVOEkkYZGybeMok1+fi86ootbE0CrAjnEjSxLYdCjQdn0snnskuKOTVLbZHDAwHNEWhIOjFQsXn1tjUYBJNmgQ9Kqqm4tE1XF/VU/Tp2ePnejVM2yE3FmH6grkc+/5L5CSiAGR0N4sPO44nRk7hw6LeeL+ase5VFQqDbroV+AGFIV1DFAclgS6EEEJ0Nn/4wx+46aabCIfDu93vOA6KorRpEv2ss87i5JNPZujQodTX11NWVrbX9qtXr2bmzJn069ePDz74gFAoO8P2xz/+MUcccQSXX345n376qZSYE/tkb1ePloa8vLe2nnDKQAEKAx5UFNyagtvvpjGRoT6WpjDgZnNTki0NCboXBgi4teZJOynT5IP19azcGmFzU5K6SIq05ZAxbSwbVBU8msKYL5dwxXv/YNTmz5pjWF3Ug7kjp/DisGOw3dmxt8elouGQNm0ylk2O18WAinxGVuTTsziHykIfZXl+WShUCCHEQa/TJ9F3Jz8/n1/96lftHYbohL7t4qABt0ZB0E11ONVisLxDYyJDWZ6XgLtlgn1fZ7yHkwZfbo+xtiaKjYJHU/G6srPbFQVyvC7cjoppWny4sZ5kxuaQbnl8WR2lNprCdrILe6I4JE2TrY1xUqaD4ziYlkPSsNEUBV1V2FCXIODRcakK5SEv0VSGxpSFptjk+3Xy/B4ypk2e10Vd3MCwbbrl+4nUpTnuvRcJJmNUFZTx3JH/xRtHnIReXIzLpTDYUigKuCjL95Hr1bFthVjaID/g4bDKAvlgKoQQQnQyzzzzDD/5yU8YOnQoN910E9deey2nnnoqhx9+OIsWLeKll17ijDPOYOrUqW0a1+DBg/er/WOPPYZpmvz3f/93cwIdYPjw4Zx33nnMmjWLt99+m3Hjxn3foYoD0N7KPCYNCxxwbAfDtuE/hv0Bj059LE19LM32aJoP1tdTHUlREHDjd2us3h5m0apa1tfHiKRMMhboKvhcGo4NGRssGxQcBmxfz6jNn2EqKm8NHMMTI6fwbrch6KqKriu4HYdct4btKJgOBDwuehUHOH5QF04YVEp5nk+S5qJVqKrKYYcd1nxbCCE6i06fRD/22GOZPn36Xme3zJkzh7/97W+8+eabbRiZ6Gy+y+KgiqJQURggmjKpCifJ97txaSqGZdOYyBDw6PQoCLR43I4Z7/XRNLF0dlZ4nt/FwLLcFoPWHYn9mkiSjG1TF03j1jW2NSXAURjRPZ+gB6JJE01VSKZtCoIucrwaw7qH+HCjRVM8g66CS9fIGDYR00JRVfL8bjRVwXYU3LqKokAyY+FxqSQyJvlBNz63ittlYpg2Zbk+yvK8pKprGfXiPA5Z9xHXT7+dWMrEDgaZf97P2KjnsKDnCDxeDz0KA/QvDTK8Wz6lIQ9fVEfZ0pAkkXZw69C/LJfDKgvonu9vm04WQgghxPfm97//PSUlJSxevBi/38+1117L8OHDue6667juuuuYO3cuF110EVdddVV7h7pXO2qlT5w4cZd9kyZNYtasWSxcuHCvSfR0Ot2ilE0kEvne4xSdw97KPFqWAyr43Cp+t04kYVAYVEikLQzbIZkx2VAXw7Qh5NWJZyzW1cR4tTbGF9vCrKmLEk9nc+8OX+XgFRi29iPOXfIv/jVgHC/1H4vjwNMjJuG1DJ4dPYX6UFH2ylg7O3FGVcDj0gn5dHxeN4V+N2P7FHLswC50zfdL8ly0Kp/Px5IlS9o7DCGE2G+dPom+YMECJkyYsNc2GzduZOHChW0TkOi0vuvioCGfiyFdQ7uUginL89KjoGUpmB2J8dpoisa4wdamBE2JbH3yhV/WcnTfIoZ0zcPnUvlye4yaSJJYykJFxaVrRFMG8ZRFLGPy7zU1lIX8lIW8FATdGI5Dqc+drato2uR6s6+nLpYhnbawyA7K8wNuCoMeUkZ20A4QSZmEvC4a4xk0FXK8OvGUScjnImPYdFv3Oae9+yzD3n0Fl5EB4Ohtn/FxnxE0JQ3eGjOFHJ+bM0pzOaRbiJ5FAUJ+N0GPjqIoDCjNpTaWIWVYeF0axUG3zD4QQgghOqmPP/6Ys88+G7//6y/DLctqvn3++ecze/Zsbr311m8cr7en1atXEwwGKS0t3WVf3759m9vszR133MEtt9zSKvGJjmt3V5Xurcyjpilgg1vXqSx08fGWRtbXx0hmbDKmRUM8g2U7VBT6qSj2s74myrtrG6iPp0lZLY8dTCc4/bO3uHD5C/St2wRAQTzMy/3HoqgQzcnnwXE/QFFBM20cx8aywOuBoqCXod1CDCoP0bPIz8CykMw8F0IIIb5Bp0+i74t4PI7Ltfta1t+XrVu38vTTT/Piiy/yxRdfUF1dTUFBAWPHjuXXv/41hx9++C6PiUQizJw5k/nz51NdXU1ZWRlnnXUWM2bMIBgMtmq8YlffZXHQHQNox3HoWRSgZ1EAy3Z2W6Jlx4z32miK2miGdbUxdFWhS8gLDqyvizP/wy0s3dBIlzwv9ZE0KcMklrHx6BrxlMm2piSNiQwhr5u0YaMqDj63RixloqAQz5g0xg1M26Eg4KYk14PfnWRLYxzbgfygh+KAC8txKAxkE+kZ06YpnsGna3h0FZ+ukc7YeK0Mxy5bwPg3/kGv9Z83v45NlQN4Z+LZbOl7CF5dZXhxiKP7FNG7JJfexYHdJsdVVaVLrvd76C0hhBBCtDfDMCguLm6+7/P5aGpqatFm2LBh/PnPf27jyPZPOBympKRkt/tyc3Ob2+zN9ddfzy9+8Yvm+5FIhO7du39/QYoOZ4/rKBX491jm0efSQAFVgaKgm4Z4hqqmJJqqksxYRFPZK0u3NSWpjWbY1pTYJXnep24TFy5/gdM/fZOcTBKAuMvLv4Yew9xDp7BjBO44Nj6vhmM5JIxsvXS/S2V4j3ymDC3n8N6FFAQ8eywnKYQQQoiWOmUSfdOmTS3uNzU17bINsjNhNm/ezPz586msrGzVmB588EHuuusuevfuzcSJEykuLmb16tU8++yzPPvss8ydO5dzzjmnuX08Hmf8+PGsWLGCiRMnct5557F8+XLuvfdeFi5cyKJFi/B6JdnYlr7t4qB7W4h0dzPWY2mTLQ0J6mNpNtYl8LhU8n1uDMshkTHJWBZVTUkiaZNuiTQN8QybG5O4NZXSPB9GxkJBIeDW0VQFr0vHrWsUBT2EExkCbpVN9Ul8bg2vS8Olq5iWg1tVsR0Vl+qAAxnLJp62iadNHBQ0VcXGxiFb493j0lAUGLR5JRc/emv2HOguPjjsOBadcBZNQ0ei4KBaNkOLgpw4pIx+XXJkEC6EEEIcJMrLy6mqqmq+X1FRwfLly1u02bhxI7q+/x85rr322hblUb7Jz372s+ZZ4+3B4/Hg8Xja7fiibX3TOko9Cv17LPNYWRTAtm3+vaaWtOlQGvIRS5mEkxkgO2GnKmxiO2ADKtn/d7jj5YcYtTU7sWVtQTfmHjqF5w45jqQ/iAK47GxrVVXwagqqpuHRbcpy/Zw9uhtTh5WT63PLmF20m0QiwaBBgwD4/PPPW1zNJIQQHVmnTKJXVlY2/9FXFIUHHniABx54YI/tHcfhnnvuadWYRo8ezYIFCxg/fnyL7f/+97857rjj+NGPfsSpp57aPLi+++67WbFiBddddx133nlnc/vf/OY33HXXXdx///1cf/31rRqzaGnnxUGLgy42NiSJpUyCXp2KAh+NCWOXxUG/cSHS8lw0TW2+xNOybD7bFuGTrWGqw0ka4wZ+j07jVwn4qnCS2mg6m8p2YCtQF0sTT5voPheGkS3H4uCQNm2aEiYBj4pbU9jc6KYkx0t5no+N9QmaEkkMEyzbwUbBsW28LpUuQRdJw2FjQxJNUehZHKAo4KY2lqa6MUnvZW8zwmtQf/o5bKyPs3XkkawZdiSrBh7K8hNOp8qdQyxl4Y5nCPncHN6zkKP7lUhdcyGEEOIgM2rUKJYtW9Z8f/LkyTzwwAPccccdnHzyybz99ts888wzHH/88fv93H/605+Ix+P73P7MM8/81kn0UCi0x5nmO2qb77zgqDg47K5Ui6Iou6yj5OCQNCwsyyHkd9EUz9CUyDC4PJdNDYnmiTaaAiG/TlnIT0MsRU04BbZN3HSoj6UxzWzy23QcnK8S6MWxRs77+BWeGHESjb7sVRGzD51Kgz+X2SOn8m7FMNxa9nOxywGvW0NTNTKmQ65XozTfR6HfzZCuIaYeUk6PQrnaWbQ/x3HYuHFj820hhOgsFKcTvmtNnz69eQDz+OOPM2zYMIYPH75LO03TKCgo4Nhjj2Xy5MltH+hXJk2axKuvvsqSJUs47LDDcByHbt26EYlEqK6uJhAINLeNx+OUlpZSUlLC2rVr9/kYkUik+QPAjstOxf4LJw3+8eFmXv10C9WRDIYJLh1Kc91MHNKNMw/r3lzb3HGcr5Lhu16qCbC2NobjOOT5XFgOpA2LhkQGl6ayoS7OmpoodfE0saSFYVt4VJVwysB0FFyaQo5XJ+DWaEoaWJZD0Kvj1rOz5S0b4l/NWve5dLrn+SgJefHoKtGUydIN9WyqT2H+R0w+HfK9rmySXlEJBdx0z/PSw0kz4NVnOPqN+ZTVbiEWyOXv/3gbbygHw3KoDieJZUzyvC7y/S78Xp2SgJfK4sAeS7cIIYQQYs8OhLHbP//5T2644QZeeuklKisrqa2t5bDDDmPLli1AdqwUCoVYtGgRQ4cObZcYd5RMHD9+fPMCov9pzJgxLF68mKqqql3qos+bN4/zzjuPW2+9lZtuummfj3sg9O/BbMeVpvXRNPFMtp5KUY6bAaW56JrKh+sbCHj05kkwkYSB6ThogKKCz60zoX8JxUE3CcOmIZ6mqilFPG0STZssWV/Pa59VkzFNkibYX61P5Dig4DBy82f8YOkLTP7yXVy2xR0TLuZPh58BZBcTVYEdVV52TO/x6OD36IS8boZ0y+HEIV2pKPSTH3BTkuOR8broMOLxeHP52lgs1iIfIoQQ7WFfx22dcib6rFmzmm8vXLiQiy++mJ/+9KftF9A32FGPfcelrKtXr2bbtm1MmjRplz8YgUCAsWPH8sorr7B582appdjGVm2P8I+lm9lYF8PeseS9A7XRNJH0ZoZ2DzG6shDY+0KksbRJQzxDYyLDqIoC8n06X1RH2daUIj/gIpYxiKRMMqaD/dVUk6hhkjYdfG4FTcvWRXS+qlkeTmSIpkxUxQFFASd7iaYK6KqCW9fw6Bq1kRQrq8JsrE9hkR1U71xGMWlCMmagAiGfxoiatUx8+p+M/fA1PJnsJdOpQA7Lxk2hQLXJzfWiawpDuoYozXXjcem4NQWXrkn9RCGEEOIgd9ppp3Haaac13y8uLmbFihU8+uijrFu3joqKCi688EK6du3ajlF+s/Hjx7N48WJeffVVpk2b1mLfK6+80txGHLh2nnWeyFisq41RF0uTMmwSGZOUYbNqe5TV22OMrMjHtB0yls36ujjJjEmO14VpOVRHktREU6RNG0VRGFCaQ37Azab6OGtq4mxrSvLFtjCfVTVRn8jOPHer4NVVlEScKZ8uYNqyFxhQu6E5tg+7DmRtYfYz4VcfTYBsIt356p+uQq7PRa/iHI7qW8R/DSune4EkJoUQQojvU6dMou9s/fr17R3CXm3atInXX3+dsrKy5hk4q1evBtjjJad9+/bllVdeYfXq1XtMoqfT6RZ1Indcaiq+PdM0eeiNL1lfF0dXVXy6ms1XO5A2s4Pkh9/8kpHTRqHr+h4XInXIzkgxLIuQz4WuKaRNm1TGokeBj9Xbozi2QkmOm62NCRQFfC6dhGFhOTaOo+LVVdKGhWU7+Fwqit/N5sY4GcPB61Jxu1R8Lo1kxkJXFEpDXnK9LqrqI2yqT2IBOW6VZGbXRVAhe3no2Quf5vq3/ta8rb7PQDaeM531E09hXdxh6tAyykK+3S6OKoQQQgixO/n5+fzqV79q7zD2y8UXX8y9997L7bffzimnnNJcumXFihX8/e9/Z+DAgRx11FHtHKVoLTuvb5QxLdbVxQknDQIeDZeqEfK7CPmyNc031ifImHV0yfFSG0uRzJgUBb0kMyZbm5KkTIt8v4fGeJpkxmRbY5xXP61mU0OcqkiK6qZsucikYaORTYCbNqjpFG/88TIKE9myQkndw7ODxvPEyKms7NILVQHV+bo+ukU2oe7XoXtBgDF9ChnXv4T+XXLokuuVWedCCCFEK+j0SfRoNEptbS3du3dvnvEN8OSTT/Lcc8/h9Xq56qqrGDlyZJvHZhgGF154Iel0mrvuugtNy15st6Pm4p5qK+64dGBPtRkB7rjjDm655ZbvOeKD2ydbGvl4cxMAHk0hkjKxbVBVyPVomLbDik1NfLKlkRGVxXtciDRpWEQSBj6Xjm07aKqCZTuYjoPLARsFtwbFOR4URSFlWCSNNIbpoKCQMS1sRyPk00kZNoblEEkZODYEvDqaml0LwLQdLNuhKZlh8ZoawmmTumiGzFcD7JRptyjnUh6pwWWZbMwvx6vDgn6juXbR43x6+HHUXXQ58UMPB0UhnjLwuDIUBDzk7WaWvRBCCCEEwLHHHsv06dN3mb29szlz5vC3v/2NN998s83i+uKLL5rXHEomk83bpk+f3txm5ytb+/Xrx8yZM7nxxhsZNmwYZ5xxBtFolHnz5gHwl7/8RZKSB6id1zdyayq1sTRra2PURrOTlQaV5ZLj1VF1BY+u0aPAx7raGNGURWM8Tc+iILZtZ2etmxb5PjeNiQwlOV4aYmk21MX495d1ZCzrq8VBFVRNQUlbHLHlc97vNhQHiGluFlcOZ0j1ah4fPoV/DD0OIxDEBjQLVCWbPN+x2KgLKMl1ccLgUs4d3YP+pSGZ8CKEEEK0sk6fRP/1r3/NnDlz2L59e3MS/Y9//CNXX3118yIV8+bNY+nSpQwYMKDN4rJtm+nTp7No0SIuv/xyLrzwwu/1+a+//np+8YtfNN+PRCJS+uU7WrYpTNKwSVuQMr8ugmLZUJ/M3ncch2WbwoyoLG6xEOnONdEtK5swtwybkhxPdsa4kZ0xnv7qeTO2Tca0yfO7UHATTaUJ2ybgYNoKuqqS5/dQF0sRSRlEUxaqqtA934tjQ0PSpCqSIJOxSe9msrkN2DYojs3YDR8xbfkLHLfmA17qP5arT7kOxYGtJRWM/ekcRo3szfGDSlHIDryrwin6lQYpDkoCXQghhBB7tmDBAiZMmLDXNhs3bmThwoVtE9BXqqurmT17dott27dvb7Ft5yQ6wH//939TWVnJ73//e/74xz/idrs5+uijue2229plMo5ofTsvEJrjdbG2JkZDPIOmKoR8LpKGxZamBDbQI98PwKb6BGvrYpgWJDImW8JJSnM9mJaD36WzpSlOxrSpjVhsakwSThpEkyaqBoqj0CUd4Zx3/8UZS1+iPFLLiZc/zJcFPcCGGyf9mLTPh2GpoECuW0NVFGwcEhkL2waPBoUBF0f1KeHs0d0Z3j1fvuARQggh2kinT6IvXLiQ448/Hr/f37ztzjvvpGvXrsydO5fq6mqmTZvGPffcw1//+tc2icm2bS655BLmzp3LBRdcwCOPPNJi/44Z6Huaab6jNMueZqoDeDwePB7P9xSxALAch7S19zZpK9sOsrPBKwoDRFMmVeEk+X43Lk3FsG3CSYN8v4vSkA9FUfC5speCbmlM4jgOkYSB36NRFPCQNExQ3Kiqim1DyrCxHYemZBqH7KWbmuqQ53Pj9+hsD6fYVB8jtZdYc1Mxzvj0DS5Y/iK9G7Y2b89Jx1FtC7dXx7IdGjxBbBxMyyFlmFSFU+T5XRxWWSADciGEEEJ8Z/F4vMXVom1hwoQJzZNp9scPfvADfvCDH7RCRGJf7VybvLVLCu5Y3yjP52JrU5JExqI4x0NdLEPUMgn53JiWTSxlsrUxSSJjsqE+jmE7FAZc5Ho1amMZljamyJgmmqpgmg6GbRPPWDgOeF0qfrdKnzWfctYHzzFx5du4rOy1og3+XCqbqthQUoGDQ0oP4NZUdN3Bo2l43Co4CrrmUBhwU57vZ0SPfE4c3IW+XXJlrC46LUVRGDRoUPNtIYToLDp9Er2qqorJkyc331+5ciWbN2/m7rvvbq5d+I9//INFixa1STy2bXPxxRfz+OOPc9555zFr1qxdBjg7aqHvqI3+n76pZrpoHcXub8igf6XIZRJLm82D+8HluWxqSNAQy2DaDqriUB7yYjsOqpL9MKAoCqUhH7GUyZqaGHHDpHuhn1jKZHNjEk1VKMnxEksZePRszUXDdMj1uwi4dNQYKI7DZ1ub2B412dvHwqvfnceP33sav5G9DDXq9jF/yHE8MWIKa4uyVyv4dY2EaRNwqeR4dDbVJ3DrCv1KgxxWWUD3fP9ejiCEEEKIg9WmTZta3G9qatplG4BlWWzevJn58+dTWVnZRtGJzmzn2uSm7aCrCgVBNxWFAUK+7/5FzH8m6A3TypZHdBzCCYNcn45bU8n16lSFk/gBGwe3Dp9XNdEQz5A0bQp8LqLJbGlFt6aQ73exviYNioOuZUtAKoCmKhRUbeb++b+jf9Xa5jg+6dqfJ0ZO4ZVB48i4XHg0FZxsCUlNVbFsmwK/m6Hdc6koDFIa8tG7OEDfLjnkeF2SdBSdnt/v57PPPmvvMIQQYr91+iR6Op3G7f667MTChQtRFIWJEyc2b+vVqxfPPfdcq8eycwL9nHPO4Yknnmiug76zvn37Ul5ezjvvvEM8HicQ+Hrl9Hg8zjvvvEPPnj2lPEsbe2zh2m9uBDz85joKCgpbDu4L/PQqDtIQT1PVlCLHm12UqHpNHV3zfHTL9+PRVYJejW75Pr6sMdnakJ3Jkh9woSsKpuPgdWn4XJAwTIIeN36XQ1VjjDV1qRb1zXfmsgwcFEwt++ucdHnxG2lWFfXgiZFT+eegCcQ9XyfFczzgdrtImhmGds/lZ8f2wULF69IoDrplVosQQggh9qiysrI5iacoCg888AAPPPDAHts7jsM999zTVuGJTmrn2uT5fjduXSVj2lSHU0RTJkO6hr5TIn13CXqfWyNtWKgK2bWLNDU78SXPR3U4RU0kiYPCxvo4G2oTGJaFR9dIpC3y/C6CHg1d0wjHUpiOjUvVsgnxRBzb7SPk16kNFVMcriOlu3l5yHjmjfovNlYMJJ4xSBk2juXgc4FlOyiKiqYq9CgIcOqI7ozvX0RB0Nuqs/GFEEIIse86fRK9W7dufPzxx833n3/+eQoKCjjkkEOat9XX1xMMBls1jh0lXB5//HHOOuss5syZs9sEOmQ/cFx22WXceuut3Hbbbc0LHwHcdtttxGIxbrjhhlaNV+zq46Z9a7cmBgGPvsvgvkehn80NSeJpky65PvIDHjY1xNnamGBLY5LigBu3W6Gi0PfV4qMZ4hmD7vl+HMcmadhYjk0mY2EaFp9saCSxlzhKI3Wcv+Ilzvv4Fe6YcDHPDDkOgKeHHs+nXXrzfvch8B8DbpcKfreLeMakLM/HpeN6060w59udMCGEEEIcdKZNm4aiKDiOw+OPP86wYcMYPnz4Lu00TaOgoIBjjz22xVWjQvynnWuT77zOkNelURbyURVOsqkhzpDyb7d45p4S9A3xNA2JDK60gq4oGJaNR9cIuHUqiwOsrYuyrTFFImOQsRx0TcFxIJY2SWRMykM+gj6FpGnjURyOXLmYM95/jm4N2zj7mr9l1xvyevn52f9NtGdfGr051CcMVMMk4NVRVBPTsEkbDi5doSTXw6EV+Zw6shuH9iiQxLkQQgjRwXT6JPqJJ57IH/7wB375y1/i9Xp5+eWXmTZtWos2X375JT169GjVOG699VZmz55NMBikX79+/Pa3v92lzamnntr8IePXv/41//d//8ddd93F8uXLGTlyJMuWLePVV19l1KhRXHPNNa0ar/huTNvBqyjNg/ttTQk+3FCP36VTnped9e11aVQWBMCBldURaqIpioNuuuX76VkUoCasYToOIZ+LoqCbrQ1RPtocZVVNkj0WlnEcjtz0MdOWvcAJq99Dd7Krip70xdvNSfSIN8j7PYY2P8StQq5XJ5U2cbs1Ai6dfmU5nDO6B8f079Kap0kIIYQQB5idF+RcuHAhF198MT/96U/bLyDR6e2oTZ7v3/2i9vl+N/XRDPGMRdCzfx9f95agL8/zkzRsoimDtGURj2UnwsRSBlsa4uCArimAg2NDxnFAs/B6NCzToS6WJifWyLlv/4tT3n+e0sbtANiKwsCqNayrHES+38WnPQ8h6NEpDnrQNY1oKoPjQJegl+75XnoUBhjcNY/h3fPoWRTY40QsIQ4UiUSCUaNGAbBkyZIW69sJIURH1umT6Ndffz3/+te/uO+++wAoKyvj1ltvbd5fU1PDO++8w9VXX92qcWzYsAGAWCzG7bffvts2lZWVzUn0QCDAwoULmTlzJvPnz+ett96irKyMa6+9lhkzZuDz+Xb7HKJjqI4k6V0czM4wITsQ/2RrmEFluSQME59LI562WFsXJ5HO3k8bFiU5XqIpC0UBj0vHo2vUNMV46oN6Ensrye44XLj8BaYte4G+9ZubN7/XfQhPjJjCK/2O3ONDD68MMbAsRMJyGFSaS58uQUZ0C7X5Il9CCCGEOLCsX7++vUMQBwDTsrP1xfXdlxR0aSqm7WBa9n4/9zcl6Lvm+dgeVSjP87GqKsq62hiNiQy10TSxtEUyY5KxQNXAo2s4gGVB99rNXPH2k0z8fBFu0wAgFsjlnaP/i6dHTWFzXhkhl45pW+T73XjdKknDRlGhT0mQQysKGd4jj4FluZTkeKScojioOI7D559/3nxbCCE6i06fRC8tLeWzzz7jjTfeAGDcuHHk5uY276+rq+Oee+5h0qRJrRrHrFmzWszM2RehUIj777+f+++/v3WCEq2mKZ4hmWfhd+nE0ma2VmJdHLemUhNJk+PTSRk2yYxJjk+nJpLCo+toqkpxjs7Gmgbe+nQrH9Xt22KmKAqTv3yXvvWbibu8/HPwMTw+cgpfFlfu9WF5XpWKklwGdsuXBUOFEEII8b2KRqPU1tbSvXv3Fl/OP/nkkzz33HN4vV6uuuoqRo4c2Y5Rio5O11R0VSFj2nhdu87CNiwbXVXQtf1PNO8uQe/gkDQsLMvJTmzRVEZ0D9E938tbq2r4aEuMWNoinExjOtljazuO7Sg4OBTGw0z9OPv5c2V5X14cdyobjzsFd26QSEMMb8bG41JJJU3cukqB34PPrdG7KMgJg0sZ1j0kiXMhhBCik+n0SXQAn8/H1KlTd7tv0KBBDBo0qI0jEge6LY1JuhX4sW1YWxujPpbB79HJ8brwujWqwim2R9L0Kgpg2ZCxbdy6Rjqd5L5X1tKQ2vNz65bJxNXvcf6Kl/j51F9SG8wH4OEjzubVvkfyzJBjiXoCe36Cr+R54X/OGcGQrnmyYKgQQgghvne//vWvmTNnDtu3b29Oov/xj3/k6quvbp5dOG/ePJYuXcqAAQPaM1TRgQXcGgVBN9XhVIuSKzs0JjKU5WUX2NwfjuOQNrOTWqrDDkGPRtp0aEykiSZNTCc7uz2czPDptiY2NyRZXxNlWziNW1cwLQcNle6RKs5e8gIpl4c/HXshtgMrKobw5zFn8fagsSSHj6RLyEdj0kCJJMgPuMnzOVSF09mFSkNehnQNMbxHHiN7FJC3h1nxQgghhOjYDogkuhBtLZY2WV0dxaWrpE0bv1ujW54Pw7LJ093k+d1sqItTG0vh123e+aKKtY3GXp+zJFrPeR+9wnkfvUxprAGAcz96mQfHngfAO5XDeady+D7Fd0K/HB65aKzUVBRCCCFEq1m4cCHHH398i3q2d955J127dmXu3LlUV1czbdo07rnnHv7617+2Y6SiI1MUhYrCANGUSVU4Sb7fjUtTMSybxkSGgEenR0FgvxbaDCcNNtbH2VQfZ/nmJmpjaUJeHdMCv1ule4GflGHy7to6NtXHSWRsXCo4ZGfFe1SFQ778gLPf/xdHr12KikPU42fW2DNRggEcR+EvJ15Kaa6Pw7qF6FEUZH1tjJpIBhwHj0vj0Io8BpbnMqxbHl3z/QQ9uiwWKoQQQnRinS6JPnnyZG677bbmhSj2Rzwe58EHHyQnJ4errrqqFaITBw+b1TVRwkmTPJ+LLiEvA8tyiSRNaqNpbMcmnkoze9lW4nt7Gsfh8M2fcuGyF5i0ejEuO1vepTaQx9xhk3l66AnfGEmxH8rygnTJ9TCgLJcfjulOTk7O9/MyhRBCCCH2oKqqismTJzffX7lyJZs3b+buu+/mqKOOAuAf//gHixYtaq8QRScR8rkY0jXEhroY25pSpE0bj67SNd9LRWGQkG/f1/IJJw0+3RqmNpqmIZ4hz+fCsm021ScwLBufW+OzqjC14TTRjIFlK2iKgtetodY3cPKKVzn7wxfo2lDV/Jzv9D6Upw+fSkxx4TJtfC6drjkBBpblMGFAGYd0y0VTFeJpk6akgaaqlOZ6yPG6JHEuhBBCHCA6XRK9traWI444gnHjxjFt2jROP/10QqHQXh/z3nvvMWfOHObNm0cymWT27NltFK04UGVMUBUFw3IoDLrxuXQiSZPSkJdtDTGeXrqFT6r2mj4HIDcdZ/bTM/CaGQA+6DaIJ0ZM4eX+YzC0b/6wcERlLvedM5LSkE/KtQghhBCiTaXTadzur0tTLFy4EEVRmDhxYvO2Xr168dxzz7VHeKKzUr7+f3/XHLRtmy+qIlSHE0RTFtFUhqKgl0TGpCGeYXskhWFaJIzsxBWfW0dTwKWrZAyHK9+bz0WLngQg6g3yfyNO4MmRU9hc3A3DtACFIr+HkjwvBQE3g8pDDOseai7RkutzU5b3/ZwGIYQQQnQsnS6JvnTpUmbPns0tt9zCpZdeyuWXX07//v059NBD6dKlC3l5eaRSKRoaGli1ahUffvgh0WgUTdM499xz+e1vf0uPHj3a+2WITm50z0JimQxsi9Il14NHV3jr47W8sT6518f1rtvMsWuX8JfDTwcg4g3y92GT8JgGT4w8iZUlvfbp+EE3XDexDxce1f87vxYhhBBCiG+jW7dufPzxx833n3/+eQoKCjjkkEOat9XX1xMMBtsjPNGJ7Jg9Hk+bFAU8uHWVjGmzPZImlrYY0jX0jbPRw0mDlVVhFq2qpSGRobophenYJNM2dbEUTUkD2wEVB6+uoGQyTFz6FpsLy9jcbzgZbJ45bAqj1y7jn6Onsuiw44kobjKWTbHfhWU7uDWNinwvXq+LIeUhJgwokRrnQuwnRVGoqKhovi2EEJ1Fp0uiA1x00UVMmzaNF198kccee4wFCxYwZ86cXdqpqsohhxzCaaedxmWXXUZZWVk7RCsOSIqDpqgotsXDr6yiwdpzU822OH71+0xb/jxjN2Y/aL5bcQiflfYB4Jbjr9jnwxa64ddTBnHq8HI8Hs93eglCCCGEEN/FiSeeyB/+8Ad++ctf4vV6efnll5k2bVqLNl9++aVMYBF7tWP2eE0kRXm+D49LRUHB69IoC/moCifZ1BBnSHlojwm3HUn4DXUx6uJpUoZFfTxNfTxNKmNj2Da2BR6XQnFjDWcueYEzVrxKQSLMG30P51eVQ/C7NOqKy7jkxw9jWjZ5XjdFuoqNQ67PjWk5dAl5GFCaw8DSEIdW5BOSBLoQ+83v97Nhw4b2DkMIIfZbp0yiQ/YbyylTpjBlyhQgW4Nxy5Yt1NfX4/P5KC4uZvDgwd9Y6kWIb+O1T7axYHUD9l7aFMUbOfejVzh/xcuUR+sAsBSVN/qMxtT271dvQs8cfnf6EMqK8uXbeiGEEEJ0CNdffz3/+te/uO+++wAoKyvj1ltvbd5fU1PDO++8w9VXX91eIYoObsfs8Q/WNaBrKuGEQa7fRVnIR9CTHS/n+93URzPEMxZBj47jOMQzFoZpkTZt0obJkg2NNMYzxDIWNeE0sZRBTSSNads4Snb2+ZHrl3Puh88zfvUHaE52FL89t4iPuw0gmTbJ8bhwaSqmY2M5Dobp4FKhV3GA/l1yKM7xMryHLBIqhBBCHKw6bRL9Pw0cOJCBAwe2dxjiIPHm6oa97h++bRVP/e91uG0TgDp/iCcPmcjc4SeyNVSyz8c5a1gX7jhrOLp+wPyqCiGEEOIAUVpaymeffcYbb7wBwLhx48jNzW3eX1dXxz333MOkSZPaK0TRzhzHIZY2iSQNAHJ9ruYE9I7Z4zWRFLqmUpzjwbId6mNpEhmLXkUBNFUhY9rE0iaGaRG2HTbWx9nUkGBDbZxV2yNsbkgQThnoiophmyiouFQFl66i2JAybO6bdxvHfflec1yLew5n7siTWDr0aOKOA6ZD0rRwaQoK4NEVvC6F7gU+juhdxCHdQvu9wKkQQgghDiySmRPie+DLpOjZuI3Pu2Rrmn/apTcN/ly25Rbz+MipvNj/KDL6vg26deDa4yu4aEwv/H5/K0YthBBCCPHd+Hw+pk6dutt9gwYNYtCgQW0ckegowkmDz7dF+KIqTFPCAAXyfG76l+UwqCyXTQ0J4mmT8jwf4YSBZTt4dA1PUGNLY5wP42lyPDpJw8a0bPxuDcOy2NKY5IvqCOu2R6mNG5imBYpKGotUxkLTFAbWrGdjfjn4smPpt3uOYPTGj3lu2Ak8OWoK20sriGcsdBRcqorPr6A52cS+W1fpUeBnXL9ixvUvoaIwQMCtycxzIb4nyWSScePGAbBo0SJ8Pl87RySEEPtGkuhCfAc9G7ZywfIXOeuT14m6/Yy78lEsVcPUdE66+EEa/PteTqhvEP5+5eEUFRW1YsRCCCGEEEK0rnDS4P119aysiqCrCl1CHtKmQ0Mszbur09RGUmiaSpccL25NweNSqYmkKM7xYNvZx0dTJoPKc9FVyPO7eWdNLcs2NVITTtOUTJM2QVUh5NNxKeCyLI75bAFnvf8vhm/+nNtP/hmvjf0vXBo8M+x4njvkOPRQLrqmkqOrBL0uVEUhksrg1VSKgm7KC/yM6J7PUX2L6F0cRFXV9j6VQhxwbNvmww8/bL4thBCdhSTRhdhPqm1x3NolXLjsBcZtWN68vcGXS9dwDZvyswvY7msC/eTBhdx33mFSskUIIYQQHdrkyZO57bbbGDVq1H4/Nh6P8+CDD5KTk8NVV13VCtGJjsJxHDbUxdhQF8fv1vC7dWqjaeIpEwuHWMqkIZamLN9Hnt/FlsY0TQmD7dEUWxoTKCgoqoJbV6mNpHHrKtsiUd74rIaaaBrHcdgxKVx1IFBTzXnLX+LM5a9QGG8CwFQ1yiM1aKpKYdBL0q0TThh4FIVcj0bGstFVlRyvTq/iAEf0KmRY9zz6lATJ8bpk1rkQQgghdiFZOyH2wzFrl3Dbqw/TLVILgI3CW70P44kRU1jYaySOsm+zVTRg+sg8fjFlOIFAoBUjFkIIIYT4ftTW1nLEEUcwbtw4pk2bxumnn04otPdJA++99x5z5sxh3rx5JJNJZs+e3UbRivYSz1hsC6fAAV1T2dKUJG1Y+N06uqagqyrbGuPUbckQS5sEPS6Kgm5yvCE2NsT4ZEsTibSJoqiU5HrQVYUvt0epj6VxqYCikDEdNMfigWfv5vhVi5sXCq3NLWT+oScxf8RkksVd8Dhgmg65XjdeTSVjO0TTFkGvTq+iICMr8ji6bzH9uuRI4lwIIYQQeyVJdCH2xnHwWAZp3Q1AvT9Et0gtDb5cnjrkBOYMP5EteaX79FRFXvjJhErOOaI3Xq+3NaMWQgghhPjeLV26lNmzZ3PLLbdw6aWXcvnll9O/f38OPfRQunTpQl5eHqlUioaGBlatWsWHH35INBpF0zTOPfdcfvvb39KjR4/2fhmilZmWTdqwURSHcCpD2rDI87mb9yuA7cC2pgSNyQzDuuXjOA5+t05DPMOm+gT18QyqApsadFwqWA44KHjtDGndg67ZmIqGx0ijOTbvVRzCk4dNZenwo7F1F/GMgc+GkgIPCgrxjEFuwE2XHA+9S3IY3j2PgWW5lOR4pGSLEEIIIfaJ4jiO095BiO8uEokQCoUIh8Pk5ua2dzidUuVvXmi+7TVS/NfKRUxb9gKflPbhhsk/ad53wur3WNRzZHNi/ZsMK/Px5BVjJHEuhBBCiGadeezmOA4vvvgijz32GAsWLKChoWGXNqqqcsghh3Daaadx2WWXUVZW1g6Rtp/O3L/fxHEc4hkL07LRNXWXRTdjaZN/r65l9fYYjbEMAa+OW8smqlOGxbZwkvpYmrRp49GhJNeHpsD6ugRra6LE0haqAl6Xhg0Ypk2v6vVcuOx5pny+iNN/9Ee2BYswbYc+2zeg6RqrCrvjdmkU+91ougq2Tb8uufQuCRJPm7h0jQGluQzumkvv4oAkzoVoR/F4nGAwCEAsFpMrs4UQ7W5fx20yE12InfRorOKC5S9y9ievkZeKAdAtXMPM468ko7sAeK3vEfv0XD1z4Nmrj/rGy5yFEEIIIToTRVGYMmUKU6ZMAWDlypVs2bKF+vp6fD4fxcXFDB48WMZAB5AdifOGeJptTSka4mkypoPHpVIe8lJZFCTky46VA26N8pCX1dVRYhmTUMDV/BxNyQx1sRTplEXGcQCV7ZEUddEUm+sTpC1waeB2aXgcmwmfv81Z7/+LwzZ92hzL5M8W8fiYM7Eciy+KK1EUUO1sfXSXS8NxHMoLAoztW0R+wEPIr1NZGKQs5JWSLUIIIYT41iSJLgTAm2/y2NMzGL9uGSrZizM2h7owZ8SJPDX0hOYE+r744egifjZpiHyjLoQQQoiDwsCBAxk4cGB7hyFaSThpsLE+zub6BCurItTG0vhcKgVBD15NY3N9gu2RNIf3KiTkyy7KWVkUZGN9gnV1carDSQoCHgzTYs32KDXRFA4Kpm1j2g7qV4uNZmzw6FBgJLng389y+rIXKY41AmAqKq/2O5J5h05hZf+R+HUNUHAcE9sGRwG3SyHPpzGoLMTUYV3pXRLc7Ux5IUT7Kyoqau8QhBBiv0kSXQiAhQs5Zt1SABb0PJTHR05hQa9DsVVtnx7eI8/F/EtHUFxc3JpRCiGEEEII0WbCSYNPt4aJpQxqomnqExncuorlQCJjkZPjwrRtVlZFyPG6OKJXAYqiEPK5GN+vmEjK4OPNTWysi7GlMc7mxiSm7eB36aQMCwfQVRXbARwwbbBQuOC9ZwhkktQF8/nHyBOZN2wS24KF2TIvNgRdGpoKKA44DqUhH8f0K+bw3kUM755HfsDTzmdOCLEngUCA2tra9g5DCCH2myTRxcHnww/hD3+As86Ck07KbrviCojFGB8bwMb88n1+qgl9Qjx8/kj8fn8rBSuEEEIIIUTbcxyHjfVx4mmTkM/Fhxsa0RSF4mB2nZ+mZIZo2qBbvp9MU5JV1WGGdM0lx5u9gjPkd3N0n0I+3RpmVXWYxrhJLG2hqQoJx0RTFHLMJFM+epOh6z7hp1N/CY5CxOXjD8ddRCKvkLcGjSWj6MQyBgFVxefWsGyHcDwNqkphwM3ongWcNrIbg8vzZNa5EEIIIVqNJNHFwSGVgiefhIcfhg8+yG7buvXrJHp5OfzP/7CQlguM7o4b+MWx3bjo6H74fL5WDVsIIYQQQoj2EM9YNMQy5PvdRJIG0ZRBYfDrGd5+t04saZLOscgPuNkeTtEYT1PdlODLmhgbamMs39zEyqooiYxJxrSwARWHHtWbuHDFi0z56A2C6QQAfxsxlRXdBqLrCk+POR2PS0FVFNyOg2YqBNw6vYpz6JbvRVWga76fI3sVMrRbCE3bt6tHhRBCCCG+LUmiiwPb+vXwyCPw179CfX12m9udnYV+1VW7fciGO6fsNpE+Y0p/zjm0XGadCyGEEEKITmvHIqGmZe+1ZrhpZWuWu3U1u0H56h/g4GDZNuGUQX0sg09TWF0T4VdP1bG5MUEkmSFtgE12odDioIeMZXH8qnc4f+nzHL7xk+bjbCzuzj9GT2VzaQ9cOuAoOI6DY0HCtDAdyPW6mTioC5OGllEe8pHrcxH06DLrXIhOKJlMcuKJJwLw0ksvycQ0IUSnIUl0cWA799yvZ5736AFXXgmXXgolJXt92IY7p7RBcEIIIYQQQrSunZPmiYxFbTRFY9zAtB10VaEg6KaiMEDI52rxOF1T0VWFjGnjd6t4dI3aaJpcj05NNEVVJEU0afLJliaqmhKEUzb2To/XAAcwLKiLpzlm/TIeeOYOACxFZUG/w5k3airL+x1Kvs+NkzIpdmUT9vG0STxj49JVeuV5OWVEN04Z0Y08v7ttTpoQotXYts3ChQubbwshRGchSXRx4GhshFmz4JJLIBTKbvvRj7K3r7oKpk4FudRTCCGEEEIcJMJJgy+21PLcJ7VUN6VwsBneLYehPUooynHTlDD4bGuY9XVxDqvIpzzP1zy7O+DWKAi6WbM9QjhhEE6mWbM9QTiZJp42SWQsDBssp+UxdcByHEZu+YySeBMvDzwKw4KFFcP4qNsAPug5nL8PP5GGghI0TcHn0snYNrleF4PKgth2NtmfH/AwvEc+x/YvpmtBQGadCyGEEKJdSRJddH7Ll2cXCp07F5LJbKL8pz/N7rvoIpg+vV3DE0IIIYQQoq2Fkwa3PvcJL39cRdz6evu7qxs4rFeUCQO6UB1O0pg0iCYNlm1s4PiBJfQqzmlu2xBL8fJn29nSkCBpmGwPp0iYez6mP5Pk1M8XcOGyFxhYu4HaQB5v9DscQ3VhqRrTLrkfTVVImxaq7eDgoHsVXKpCaY6X4hwvOT4XQ7rmMrg8j7KQV5LnQgghhOgQJIkuOqd0Gv7xj2zyfPHir7cPGwbdun19XwbdQgghhBDiIOM4Dne++Bnzl1ftsi/lwNtrG9jUkGRQeS76V+PlVVujfFkVxu3S8Gga0bTBxroYSdMhkbJIO7s8VbNe9Vu4cPkLnPHJG+RmsguFJnUPr/cejT+dJOJ3gZItEePSFAzLRlEdAh4XxQEPFYV+hlfk07soSEVRQJLnQgghhOhwJIkuOp9kEvr0gW3bsvddLjjzzGzJljFjJHEuhBBCCCEOarVNUeZ/uHWvbTY1JqnIc1GQG0B1YHs0RU00ScYGHDD2kjTf2SVL/o+b3/xL8/31+WXMGTGF+UOPJ+IN4gCKAygKLl0lY9l43Bo9C30c1beEYd3y6FUcoCDo3eMip0Lsj+nTpzN79mzWr19PZWVle4fzjRYsWMAxxxzDjBkzmDlzZnuHI4QQYg8kiS46PsfJlmwZOTJ73+eDI46A99+HK66Ayy+H0tL2jVEIIYQQQogOYt4Hm8nsQxJ8TU2cwpTN9kiKxriJDXzTMn+F8SY8VoZtuSUAvFM5DEtRebP3YTwxYgr/7jkCRVFRyC4sCqAq4FZBcRzKcjwc3a+E/xpWRkVRUBLnYp8tXbqUhx9+mEWLFrFt2zZs26a8vJwxY8Ywbdo0TjjhhPYOUQghxAFMkuii4wqHYfZsePhhWLUKVq/OzkAHeOQRyM8HXX6EhRBCCCGE2NmSTZF9alcXt0gZMRoz39DQcRi57QsuXPYCJ616m+cHHM21U68FYFVxJUf8eBa1wYKvm+/0UA0I+TX6FOcwumchxw4oYVj3PFRV3b8XJQ5atm3zy1/+kvvvvx9d1zn22GM5+eSTcblcrFu3jhdeeIE5c+Zw6623ctNNN7V3uPtt9OjRrFy5kqKiovYOpc34/f72DkEIIfabZCBFx/PJJ9la53PmQDye3ZaTk92+I4leXNx+8QkhhBBCCNGBOY71zY0AA/aaQPcaKU7+fBHTlr/AkO1rm7d3i9SiODaOkk2E75xA35lHg8FluZw0vJzxfUvoXRyQ5LnYbzfeeCP3338/w4cP5x//+Ae9e/dusT+ZTPLQQw9RX1/fThF+N36/nwEDBrR3GG0mEAgQ3/E5XwghOhEZwYiOY906GDcODjkE/vSnbAJ98ODsTPStW+G009o7QiGEEEIIITq8EV1zvvNz/PD9+bz38HTufvn/MWT7WlK6m6eHHM9/Tbufc86/szmB/p/cQI88NycOLOb+c4bx2CWjuXRsL/p2yZEEuthva9as4e6776awsJCXX355lwQ6gM/n41e/+hW33HJLi+2O4/D//t//Y8CAAXg8HioqKrjllluw7ZZFi8LhMHfddRfjx4+nvLwct9tNeXk506ZNY+3atfynmTNnoigKCxYsYNasWYwcORK/38+ECROa23z88cecdNJJ5OTkEAqFOOmkk/j000+ZPn06iqKwYcOG5rYLFixAUZRd6qFXVlZSWVlJLBbjZz/7GeXl5Xg8Hg455BD+8Y9/7PZ8bdiwgXPOOYeCggKCwSDjx49n0aJFLWIWQgjx7chMdNG+Mhlwu7O3S0uzs801DU4/PbtQ6LhxslCoEEIIIYQQ++H4QaU8+O8t+/UY1c7OXrdVDQDdtshLxdgU6sKcESfx1CEn0OTL3ePjvTpUFvo569AenDi0lNKQT5Lm4jubNWsWlmVxxRVX0KVLl7229Xg8Le7/6le/YuHChUydOpVJkybx7LPPMnPmTDKZDLfffntzu5UrV3LzzTdzzDHHcNpppxEIBPjiiy+YO3cuL7zwAsuWLaOiomKX491zzz289dZbnHLKKUycOBFNy/7ufPTRRxx99NHE43FOP/10+vbty4cffshRRx3FsGHD9uv1G4bBxIkTaWxs5IwzziCRSDBv3jzOPvtsXn75ZSZOnNjcduvWrYwZM4aqqiomT57MiBEjWLVqFSeccALHHnvsfh1XCCHEriSJLtqe48Bbb2VLtqxZAytWZBPlfj/MmwdDh0J5eXtHKYQQQgghRKcUi4T3uW1+Isw5H7/GBctf5I4JF/PCwKMBmDdsEitLerKw58jmxPqe9Mh3c9KQMs47opKKwuB3il2Inb3zzjsA3yoJvGzZMj7++GPKysoAuOmmm+jbty8PPvggM2bMwP3VZK6BAwdSVVVFQUHLskRvvfUWxx9/PL/97W/5y1/+ssvzL1y4kPfff5+hQ4e22H711VcTjUb53//9X84///zm7TfffDO33Xbbfr2Gbdu2MWrUKBYsWNAc7/nnn8/xxx/Pfffd1yKJ/pvf/Iaqqipuv/12brjhhubtf/vb37j00kv367itKZVKccYZZwAwf/58vF5vO0ckhBD7RpLoou1EIvD449nyLCtXfr196VI47LDs7UmT2ic2IYQQQgghDhA/+Pvqb2wzbNsqpi1/gakr/43HMgA4/bM3m5PoDf4Qb/Uetdfn6FvkZ9qYHhw3UGaei9ZRXV0NQLdu3fb7sTfddFNzAh2gqKiIU045hdmzZ7Nq1arm5HcoFNrt44855hgGDx7M66+/vtv9P/zhD3dJoG/cuJG3336bYcOGtUigA1x33XU89NBDNDY27tfruP/++5sT6ADHHXccFRUVLFmypHlbOp3m6aefpqSkhGuvvbbF4y+++GLuvvtuVq1atV/HbS2WZfHiiy823xZCiM5Ckuii9a1dC//zP/DEExCLZbcFAnDhhfDjH2dnngshhBBCCCFal+Nw5qdvcOGyFxhW/XWi/ePSPjwxYgr/+iqB/k1y3fDD8b340YR+zSUshOhoDj300F227UjGNzU1tdi+YMECfv/73/P+++9TV1eHaZrN+3ZOYO9s9OjRu2z76KOPABg7duwu+wKBAMOHD+ett97a59eQl5dHz549d/s6Fi9e3Hx/1apVpNNpDjvssF3K2iiKwpgxYzpMEl0IITorSaJ3AEuWLGHGjBm8++67GIbB0KFD+cUvfsHZZ5/d3qF9P9avhz/+MXt7wIBs4nzaNNjDN/5CCCGEEEKIVqAonPPRqwyrXk1a03l+wNE8MXIqK8r67dM6RD3yPZw+ohs/Gt9zl0SdEK2htLSUL774gq1bt9K/f//9emxu7q41/HU9mwLZeQb0008/zTnnnEMwGGTSpElUVlbi9/tRFIVZs2axcePG3T7/7mq0RyIRAEpKSvb5MXuzp1nyuq63WCD1+z6uEEKIXUkSvZ299dZbTJo0Ca/Xy7nnnktOTg7z58/nnHPOYfPmzbtcitXhVVXBn/8MXi9cd11223HHwdVXw2mnwTHHyEKhQgghhBBCtDLFsRm/bhnnf/Qy103+CY3+bDLu4SPPYkDtBp48ZCIN/m+e1FIW1Dl1WBcmD+vO4PJQcxJSiLYwduxYFixYwBtvvNFqi2POnDkTr9fL0qVL6du3b4t98+bN2+PjlN18rt2RuK+pqdntY7Zv3/4dIt2z9jquEEIcTGQE1I5M0+Tyyy9HVVUWLVrE8OHDgeyCI6NHj+aGG27gzDPP3O1K4B2K48C//51dKPSZZ8A0oaAAfvpT8PmySfMHH2zvKIUQQgghhDjwNTRw2QfPcMHyl6hsqgJgadcB/OnwMwF4q/eob6x1DnB4RS7XTR7IsB75UrJFtJvp06dz55138uc//5lrrrmG4uLiPbZNp9Pf6gqJtWvXMnjw4F0S6FVVVaxbt26/nmvYsGEAvPvuu7vsSyQSzeVevm/9+/fH4/GwdOnSXc6D4zgtSr8IIYT4dmTll3b05ptvsnbtWs4///zmBDpkL9m64YYbyGQyzJ49u/0C/CaxGDzyCAwbBuPHw1NPZRPoY8fCQw+BzFIRQgghhBCibSxbBpdeCl27cuNbf6OyqYqIJ8BfDzuFl/uN2aen8GlwaLcgj14wnHlXHsXInkWSQBftqk+fPvz617+mrq6OE088kfXr1+/SJpVKcd999zFz5sxvdYyKigrWrFnTYrZ2KpXiRz/6EYZh7PdzjR07lhUrVvDkk0+22HfPPffQ0NDwrWL8Jh6PhzPPPJPt27fz+9//vsW+xx9/nC+++KJVjiuEEAcTyXK2owULFgAwceLEXfZNmjQJgIULF+72sel0mnQ63Xx/Rw20NjVzZnbBUAC/H37wg2y9852+EBBCCCGEEEK0soYGOOII+CrhlxowgJkVx/N/gyaQdHv3+LBiF4zqV0RFYZABXYL06pLLwNIcKdkiOpTf/va3pFIp7r//fvr378+xxx7LkCFDcLlcrF+/ntdff536+np++9vffqvn/8lPfsJPfvITRowYwZlnnolpmrz22ms4jsOwYcP2e/b4gw8+yLhx4/jBD37A/Pnz6dOnD8uWLeO9995j3LhxLFq0CFX9/ucz3nHHHbz++uv85je/YeHChYwYMYJVq1bx/PPPM3nyZF5++eVWOa4QQhwsZHTUjlavXg2wy2VjkF1AJRgMNrf5T3fccQe33HJLq8b3jX74Q/jXv+BHP4Lp0yEvr33jEUIIIYQQ4mBUUJCd0JJOw1VX4R0zhudvfpHkN0yivf3ckQzpmkdZyLvb+s5CdASqqnLfffdx/vnn88c//pFFixaxaNEibNumrKyMSZMmcfHFF3P88cd/q+e/6qqrcLlcPPjgg/zlL38hLy+PKVOmcMcdd3DWWWft9/ONGDGCf//73/zmN7/hpZdeQlEUjjrqKN5++22uv/56YPeLnn5X3bt3Z/HixVx33XW8+uqrLFy4kEMPPZRXX32Vp59+utWOu78CgQCO47R3GEIIsd8UR9692s3EiRN57bXXWL16NX369Nllf9euXYnFYoTD4V327W4mevfu3QmHw237h9FxZKFQIYQQQoj9FIlECIVCbT92E22iXfp3N+PyITe9QGw3iXS/Bu/fNJGgR5fkuRBtxLIsevfuTTKZbPOFPo866igWL15MOBwmGAy26bGFEKKj29dxm8xE76Q8Hs+3WjTleyeDbiGEEEIIIdrfbsbln942hS+//JILn1pDOOEQ8is8cXYf+vXr1w4BCnFwME2TpqYmioqKWmy/88472bhxIz/84Q9b7dhVVVWUlZW12DZnzhzeeecdJk6cKAl0IYT4DiSJ3o5CoRDAbmeaQ/abkPz8/LYMSQghhBBCCHEA6devH+/fKElzIdpKLBaja9eunHDCCfTr1w/DMHj//fdZsmQJZWVl33oB1H0xZMgQRowYwaBBg9A0jRUrVrBgwQJycnK49957W+24QghxMJBVJdrRjlrou6t7Xl1dTSwW2229dCGEEEIIIYQQQnQ8fr+fSy+9lDVr1vDoo4/ypz/9ie3bt3PFFVc0J9Jby5VXXklNTQ2PP/44Dz30EKtWreL888/ngw8+YOjQoa12XCGEOBjITPR2NH78eO644w5effVVzj333Bb7XnnlleY2QgghhBBCCCGE6PjcbjcPP/xwuxz79ttv5/bbb2+XYwshxIFOZqK3o+OOO45evXoxd+5cVqxY0bw9HA7zu9/9DrfbzbRp09ovQCGEEEIIIYQQQgghhDjIyUz0dqTrOo8++iiTJk1i3LhxnHvuueTk5DB//nw2btzIvffeS2VlZXuHKYQQQgghhBBCCCGEEActSaK3s2OOOYa3336bGTNm8OSTT2IYBkOHDuWuu+7inHPOae/whBBCCCGEEEIIIYQQ4qAmSfQOYPTo0bz00kvtHYYQQgghhBBCCCGEEEKI/yA10YUQQgghhBBCCCGEEEKIPZCZ6AcIx3EAiEQi7RyJEEIIIYT4JjJmO7DJ2FwIIYQQonPYMV7bMX7bE0miHyCi0SgA3bt3b+dIhBBCCCGEOLjJ2FwIIYQQonOJRqOEQqE97lecb0qzi07Btm22bdtGTk4OiqK0yTEjkQjdu3dn8+bN5ObmtskxxfdL+rDzkz7s/KQPOz/pw86vPfpwxxA8Nze3zcZuou20x9i8s5D3zNYh57V1yHltHXJeW4ec19Yh57V1dKTz6jgO0WiU8vJyVHXPlc9lJvoBQlVVunXr1i7Hzs3NbfcfePHdSB92ftKHnZ/0Yecnfdj5SR+K70t7js07C/l9ax1yXluHnNfWIee1dch5bR1yXltHRzmve5uBvoMsLCqEEEIIIYQQQgghhBBC7IEk0YUQQgghhBBCCCGEEEKIPZAkuvjWPB4PM2bMwOPxtHco4luSPuz8pA87P+nDzk/6sPOTPhSi7cjvW+uQ89o65Ly2DjmvrUPOa+uQ89o6OuN5lYVFhRBCCCGEEEIIIYQQQog9kJnoQgghhBBCCCGEEEIIIcQeSBJdCCGEEEIIIYQQQgghhNgDSaILIYQQQgghhBBCCCGEEHsgSXQhhBBCCCGEEEIIIYQQYg8kiS6EEEIIIYQQQgghhBBC7IEk0cV+W7JkCSeddBJ5eXkEAgGOOOIInnrqqfYOS+xk69at/P73v2fixIn06NEDt9tNaWkpZ5xxBu+///5uHxOJRPjFL35BRUUFHo+HyspKfvWrXxGLxdo4erE3d911F4qioCgK77333i77pR87pn/+85+ccMIJFBYW4vV66dmzJ+eddx6bN29u0U76r+NxHIdnnnmGY445hrKyMvx+P/379+eKK65g3bp1u7SXPmw/c+bM4YorruCwww7D4/GgKAqzZs3aY/v97SvbtnnwwQcZOnQoPp+P4uJizjvvvN3+HAghWlqxYgU33HADkyZNori4GEVRmDBhwh7bb9iwoXm8s7t/M2fObLPYO7L9Pa87/O///i+jR48mEAiQn5/P1KlTWbZsWesHfACYOXPmXn82N2zY0N4hdmiSS/j+VVZW7vHncV/eDw52rT1+PFjtz3ntTO+rensHIDqXt956i0mTJuH1ejn33HPJyclh/vz5nHPOOWzevJlrr722vUMUwIMPPshdd91F7969mThxIsXFxaxevZpnn32WZ599lrlz53LOOec0t4/H44wfP54VK1YwceJEzjvvPJYvX869997LwoULWbRoEV6vtx1fkQD49NNPmTFjBoFAgHg8vst+6ceOx3EcrrzySv785z/Tu3fv5vfNbdu2sXDhQjZu3Ej37t0B6b+O6pe//CX33XcfZWVlnHrqqeTm5vLRRx/xl7/8hb///e+8++67DBkyBJA+bG833ngjGzdupKioiLKyMjZu3LjHtt+mr6644goeffRRBg8ezE9/+lO2bdvGU089xauvvsp7771H3759W/slCtFpPfvss9xxxx243W769etHXV3dPj1u2LBhnHrqqbtsl8RQ1rc5r7fffjs33ngjFRUVXHnllUSjUebNm8eYMWN44403GDt2bBtE3vlddNFFVFZW7rI9Ly+vzWPpLCSX0HpCoRDXXHPNLtt39zMqWmrt8ePBan/O6w6d4n3VEWIfGYbh9O7d2/F4PM7y5cubtzc1NTn9+vVz3G63s2HDhvYLUDSbP3++s2DBgl22L1q0yHG5XE5+fr6TSqWat998880O4Fx33XUt2l933XUO4Pzud79r9ZjF3mUyGWfkyJHO4Ycf7lxwwQUO4CxevLhFG+nHjuf3v/+9Azg//vGPHdM0d9lvGEbzbem/jqeqqspRVdWpqKhwmpqaWuy77777HMC5+OKLm7dJH7av1157rXkccscddziA89hjj+227f721ZtvvukAzrhx45x0Ot28/cUXX3QAZ+LEid/vixHiAPPpp586S5cudTKZjFNVVeUAzvjx4/fYfv369Q7gXHTRRW0WY2e0v+f1yy+/dHRdd/r169fi79ry5csdj8fjDBw40LEsqw0i77xmzJjhAM5bb73V3qF0KpJLaD0VFRVORUVFe4fRabXm+PFgtj/ntTO9r0oSXeyzV155ZZeEwQ6zZs1yAOeWW25ph8jE/pg4caIDOEuWLHEcx3Fs23bKy8udYDDoxGKxFm1jsZgTDAadXr16tUeoYiczZsxwPB6P89lnnzkXXXTRLkl06ceOJ5FIOPn5+U6vXr1aJMt3R/qvY1q8eLEDOOeff/4u+7788ksHcKZOneo4jvRhR7O3wfq36avzzjvPAZyFCxfu8nwTJkxwAGfjxo3f62sQ4kAlSfTWsS/n9frrr3cAZ/bs2bvsmz59+h7f58TXOlOypyORXELrkST69+f7Hj+KrAMpiS410cU+W7BgAQATJ07cZd+kSZMAWLhwYVuGJL4Fl8sFgK5nqzmtXr2abdu2MXbsWAKBQIu2gUCAsWPHsm7dul1qN4u2s2zZMm6//XZmzJjBoEGDdttG+rHjefXVV2lsbOTUU0/FsiyeeeYZ7rzzTh555BHWrFnToq30X8fUt29f3G4377zzDpFIpMW+559/HoDjjjsOkD7sTL5NXy1YsKB533+SMZAQrWfbtm384Q9/4He/+x1//etfWbt2bXuH1KnJ57nvz6JFi7jrrru45557ePbZZ6Ue8jeQn73WlU6nmTVrFr/73e946KGH9rgOmvj2ZKzf+jrD+6rURBf7bPXq1QC7rflZWlpKMBhsbiM6pk2bNvH6669TVlbG0KFDgb33647tr7zyCqtXr26u3SzaTjqdZtq0aQwfPpxf//rXe2wn/djxLF26FABN0zjkkEP48ssvm/epqsrPf/5z7r33XkD6r6MqLCzkzjvv5Nprr2XAgAGccsopzTXR33zzTX784x9z9dVXA9KHncn+9lU8HqeqqoohQ4agadpu2+/8vEKI789rr73Ga6+91nxfURR+8IMf8Mgjj+ySxBDfbPXq1QSDQUpLS3fZJ+9l+2fGjBkt7ufl5fHAAw8wbdq0doqoY5NcQuuqrq7m4osvbrFt1KhR/P3vf6d3797tFNWBRcb6ra8zvK/KTHSxz8LhMJBdtGJ3cnNzm9uIjscwDC688ELS6TR33XVXcyJgX/p153aibd18882sXr2axx57bLfJmx2kHzuempoaAO677z5CoRAffPAB0WiURYsW0a9fP/7nf/6HP/7xj4D0X0f285//nHnz5hGLxXjkkUe4++67eeWVVzj88MM5//zzm6/qkT7sPPa3r6RvhWh7fr+fm266iaVLl9LU1ERDQwOvv/46o0ePZs6cOR3qA3VnEg6H5b3sOxo2bBh/+9vfWLduHclkkvXr1/Pggw+iKArTp0/nueeea+8QOyTJJbSeiy++mDfeeIPt27cTj8dZvnw5F154IUuWLOG4444jGo22d4gHBBkPtp7O9L4qM9GFOAjYts306dNZtGgRl19+ORdeeGF7hyT2weLFi7n33nuZOXMmQ4YMae9wxH6ybRsAt9vNs88+S3l5OQBHH300Tz/9NMOGDeN//ud/+NGPftSeYYpvcOutt/Lb3/6WW2+9lQsuuIC8vDxWrFjBz3/+cyZMmMD8+fM5+eST2ztMIYRodddeey3pdHqf2//sZz/b44y9b1JSUsKtt97aYttxxx3HkUceyciRI3nmmWdYtmwZI0eO/FbP35G05XkVWd/lnJ922mkt9lVWVnL11VczcOBATjjhBG688UYZF4g29Z+zd4cPH87jjz8OwBNPPMFf/vIXfvGLX7RHaELsk870vipJdLHPdnzjtqdv1iKRCPn5+W0ZktgHtm1zySWXMHfuXC644AIeeeSRFvv3pV93bifahmmaXHTRRRxyyCH85je/+cb20o8dz45zfdhhhzUn0HcYMmQIvXr1Ys2aNTQ1NUn/dVCvv/46M2bM4Oc//3mL38OjjjqKf/3rX/Tq1Ytrr72Wk08+WfqwE9nfvpK+FSLrT3/6E/F4fJ/bn3nmmd97stfv93PhhRdy44038s477xwQSfS2PK+hUEjey2idc37cccfRu3dvPvnkEyKRSPOsVJEluYS2d8UVV/DEE0/wzjvvSBL9eyDjwbbXEd9XJYku9tnOdfIOPfTQFvuqq6uJxWKMHj26PUITe2DbNhdffDGPP/445513HrNmzUJVW1Zx+qb6h99U+0u0jlgs1nzu3W73btsceeSRAPzzn/9sXnBU+rHj6N+/P5Ct5bY7O7Ynk0n5PeygXnrpJQCOOeaYXfaVlpYyYMAAli9fTiwWkz7sRPa3rwKBAGVlZaxfvx7LsnYprSV9Kw4WHWWBr6KiIoD9SoJ2ZG15Xvv27cvixYuprq7epS76wfRe1lrnvKioiDVr1pBIJDpEsqcjkVxC2zvQ3ivbm4z120dHe1+Vmuhin40fPx6AV199dZd9r7zySos2ov3tnEA/55xzeOKJJ/a4IFp5eTnvvPPOLn9g4/E477zzDj179pTFMdqYx+Ph0ksv3e2/HX+YTz75ZC699FIqKyulHzugHYnXlStX7rLPMAzWrFlDIBCguLhY+q+DymQyANTW1u52f21tLaqq4nK5pA87kW/TV+PHj2/e9592jIHGjRvXuoELIQB4//33gezl3mL/yOe51hOPx/nss88IBALNyUvxNfnZa3vyXvn9krF+2+uI76uSRBf77LjjjqNXr17MnTuXFStWNG8Ph8P87ne/w+12yyI/HcSOEi6PP/44Z511FnPmzNnjopSKonDZZZcRi8W47bbbWuy77bbbiMViXH755W0RttiJz+fj0Ucf3e2/MWPGAHD99dfz6KOPMnz4cOnHDqh3795MnDiRNWvW8Oijj7bYd+edd9LU1MRpp52GruvSfx3U2LFjgezisP956eYjjzzCli1bOPLII/F4PNKHnci36asf/vCHANx0003NX65A9mqFBQsWMHHiRCoqKlo/eCEOEsuXL8dxnF22P/PMM8yePZv8/HxOPPHEdoisc7v44ovRdZ3bb7+9xd+1FStW8Pe//52BAwdy1FFHtWOEHVs0GuXLL7/cZXsymeTyyy8nGo1y9tlnNy86Lr4muYTW8cUXX5BIJHa7/brrrgPg/PPPb+uwDkgy1m8dne19VXF2NzoRYg/eeustJk2ahNfr5dxzzyUnJ4f58+ezceNG7r33Xq699tr2DlEAM2fO5JZbbiEYDPKzn/1st284p556KsOHDwey3/CNHTuWjz76iIkTJzJy5EiWLVvGq6++yqhRo1i4cCE+n6+NX4XYk+nTpzN79mwWL17MEUcc0bxd+rHjWbt2LWPGjKGmpoYpU6Y0l/948803qaio4L333mu+nFr6r+OxLItjjz2WRYsWUVJSwsknn0xeXh7Lli3jzTffxOfzsWDBgubLj6UP29ejjz7K22+/DcAnn3zCsmXLGDt2LH369AGytewvu+wy4Nv11eWXX86jjz7K4MGDmTJlClVVVTz55JMEg0EWL15Mv3792vYFC9GJfPHFF9x5551A9oPxU089RZcuXZg8eXJzm1mzZjXfnjBhAmvXruXII4+kW7duWJbFsmXLePvtt/F4PDz11FMdZpGx9rS/5xXg9ttv58Ybb6SiooIzzjiDaDTKvHnzyGQyvPHGG81fIItdbdiwgV69ejFq1CgGDhxIaWkp27dv5/XXX2fLli0MHTqUt956i8LCwvYOtUOSXML3b+bMmdx3332MGzeOiooKAoEAX375JS+++CKGYXD99dfzu9/9rr3D7NBae/x4sNrX89rp3lcdIfbT+++/70yePNnJzc11fD6fM3r0aGfevHntHZbYyUUXXeQAe/332GOPtXhMU1OTc8011zjdu3d3XC6X06NHD+faa691IpFI+7wIsUc7+nfx4sW77JN+7Hg2bdrkTJ8+3SktLXVcLpfTvXt356qrrnK2b9++S1vpv44nlUo5d9xxhzNixAjH7/c7uq47Xbt2dS644ALn888/36W99GH7+aa/fRdddFGL9vvbV5ZlOQ888IAzePBgx+PxOIWFhc4555zjrFmzpg1enRCd21tvvfWNY9Od/eUvf3EmT57sdO/e3fH5fI7H43F69erlXHbZZc7KlSvb6VV0PPt7XneYM2eOc9hhhzk+n88JhULOSSed5CxdurSNo+98wuGwc9VVVzmjRo1yiouLHV3XnZycHGf06NHO3Xff7SQSifYOscOTXML3a8GCBc7ZZ5/t9O3b18nNzXV0XXdKS0udU045xXnllVfaO7xOobXHjwerfT2vne19VWaiCyGEEEIIIYQQQgghhBB7IDXRhRBCCCGEEEIIIYQQQog9kCS6EEIIIYQQQgghhBBCCLEHkkQXQgghhBBCCCGEEEIIIfZAkuhCCCGEEEIIIYQQQgghxB5IEl0IIYQQQgghhBBCCCGE2ANJogshhBBCCCGEEEIIIYQQeyBJdCGEEEIIIYQQQgghhBBiDySJLoQQQgghhBBCCCGEEELsgSTRhRCiHSxfvhxN05g7d+4+P0ZRFCZMmNBi2/Tp01EUhQ0bNny/AXYwM2fORFEUFixY0N6htJrd9e/+2t3Pw6pVq9B1nYcffni/nmvHOd/x7ze/+c13im1PvvjiixbHqaysbJXjCCGEEELsyTXXXENRURHRaHSf2s+aNQtFUZg1a1aL7d/HeK4zqKysPKDHbHvq3/21u5+HG/8/e/cdHVW5/X/8M0lIIRUIJbTQQelREAQSgkBQkCr10kRQQTpKUZAmVapgAYIgohiRZoMEIaFJUYreS9HQO0pJQgIEQs7vD34zX4ZMICGV5P1aK2s5z9nnnH1mhnv37HnmOaNHy93dXZcuXUrVsUqVKmVVMx85ciRNuWUk6nvkVDTRATxx4uLiNHnyZPn5+cnNzU1OTk4qXry4GjRooFGjRunYsWM297t48aJGjBihatWqyd3dXXnz5lWFChXUr18/RUZGPvSchmFo9erVatu2rYoXLy4nJye5u7urevXqGjJkiA4dOpSqaxg6dKgqVaqkTp06pWq/J01OL7CfBBUrVlTnzp01fvz4FH8wvF+PHj00duxYNW7c2Gr80KFDaty4sTw9PVW2bFlNmTJFd+/eTbL/zZs3Va5cOb3++us2j+/t7a2xY8dq7Nix8vT0THV+AAAg9U6ePGnV5DKZTHJ0dFSJEiXUpUsX/fnnn1mdYqaJjIzUJ598orffflvu7u5ZnU6GiYiIkMlk0rhx47I6lVxt2LBhsrOz09ixY1O9r6enp6Vu9vb2tozf/++5SJEiSkhIsLn/4cOHbTa2p06dKpPJpKlTp9rcr0aNGjKZTHrzzTdtbm/durVMJpM2bdokifoeOZdDVicAAKlx/fp11a9fX3/++afKlSunrl27qkCBArp8+bL27NmjqVOnqmzZsipbtqzVfj///LM6deqk69evq06dOurTp48cHBx04MABLViwQMHBwfr000/12muvJTnn1atX1b59e23evFleXl5q0qSJypQpo9u3b+vgwYP65JNP9NFHH2nTpk0pmnmyefNmRUREaPHixbKzS9t3mVOmTNHIkSNVrFixNB0HOdvw4cO1fPlyffTRR3rvvfdStW/Pnj2TvK+vX7+uxo0bKyEhQa+99poOHz6sd999V05OTho6dKhV7NixY3Xjxg19+OGHNo/v7e1t+TCX1tk+AAAgdcqWLauuXbtKkmJjY7Vr1y6tWLFCq1ev1qZNm1SvXr0szjDjTZw4UXny5NFbb72V5mMdPnxYefPmTYeskFPly5dPvXv31ty5czVq1Cj5+vqmeF8vL6+Hfgni4OCgS5cu6eeff1bLli2TbE/u82dgYKCke1+0PPjr0ytXrujPP/9M9lfBiYmJ2rp1q5ycnCz/e0F9j5yKJjqAJ8qcOXP0559/qnfv3lq4cKFMJpPV9hMnTig+Pt5qbO/evWrbtq3s7Oy0du1atWrVymr7zp071bJlS/Xp00dFihRR8+bNLdsSEhLUpk0bbd26VV27dtXHH38sDw8Pq/0vXLig9957T9HR0Sm6hk8//VQuLi565ZVXUnPpNvn4+MjHxyfNx0HOVrVqVVWrVk2LFi3SqFGj0vzlzY8//qgLFy5o+/btlmL5hRde0MKFC62a6Pv379fs2bMVEhLCLBQAALKhcuXKJWnKjR49WpMmTdJ7772Xo5fSk+41CL/99lu98sor6TILvVKlSumQFXK6rl27atasWQoODtbEiRPT7bjPP/+8/vjjD33++edJmugJCQlavny5GjdurC1btlhte+aZZ+Tu7q7t27crISFBDg7/1yrcsmWLDMNQ27ZttXr1al24cMHq8+cff/yha9euKSAgQM7Ozul2LUB2xHIuAJ4oO3fulCS99dZbSRroklS6dOkkxeugQYMUHx+vjz76KEkDXZLq1q2rr7/+WoZhaMCAAVZLUnz55ZfaunWr/P399cUXXyRpoEv3Gtmff/65mjVr9sj8r127pnXr1ikoKMjmsSQpODhYVapUkbOzs0qUKKHhw4fr1q1bNmOTWxN91apVCggIUKFCheTs7KyiRYuqcePGWrVqlSXG/LO/nj176uDBg2revLm8vLzk5uampk2bau/evUnOt3fvXvXv319VqlSRp6enXFxcVLVqVU2dOlV37txJcuxTp07p1KlTVj8VfvCD2tatW9W6dWsVLlxYTk5OKlGihNq2bavt27fbvOavv/5aNWrUkIuLi3x8fDRo0CDdvHnTZqwt5rUJz507py5dusjb21vu7u5q3ry5jh8/LuneLKLWrVsrf/78cnd31yuvvJLsuoU//PCDAgMDLc9H9erVNWvWrGR/Rpma11e6N+t77Nixqly5slxcXOTl5aWgoKBkn5/kdOjQQadOnVJ4eHiq9rPlzJkzku4V3GbPPvusTp8+bXl89+5dvfbaa3r55ZfVtm3bNJ8TAABkjgEDBkiSfvvtN8tYQkKCZs2aperVq8vFxUWenp4KDAzUDz/8YLXvH3/8IZPJpP79+1uNr127ViaTSU5OTrpx44bVtlKlSql06dJJ8li3bp1eeOEF5cuXT87OzqpSpYpmzJiRZPm4+9ev/uGHH1SvXj25u7unaEnBFStWKD4+Xu3bt7e5/erVq3rzzTdVuHBh5c2bV7Vq1dKaNWuSPZ6tNbCjo6P1/vvv6+mnn5abm5s8PDxUrlw59ejRQ6dOnbLE3X8PoMWLF6tq1apydnZWsWLFNGTIEJvL8n3++edq1aqVSpUqJWdnZ+XPn19BQUFJ6r1x48ZZZhuPHz/eqja//3PE7du3NXv2bNWqVUvu7u5yc3PT008/raFDh+ratWtJzh8bG6tBgwapaNGicnJyUrVq1fTdd98l+/w86MHX7rnnnlPevHlVrFgxjRkzRomJiZKkL774wvLeK1myZLK/cIyLi9PYsWNVqVIly/PRvHlz7dixw2Z8al9fSfrzzz/VqVMn+fj4yNHRUb6+vhowYICuXLmS4uuuWbOmypUrl+6ztF1cXNSpUyf99NNP+ueff6y2/fjjj7p06ZJ69eqVZD8HBwc1aNBAcXFxVv/upXuz011cXDRixAhJSvLeMn/RZn5/ATkZM9EBPFEKFCggSfr7779Vo0aNR8ZHRkZqx44dKlasmF599dVk45o0aaLnnntOu3fvVnh4uGX958WLF0u6NyPnUbN3nZycHpnP1q1bdefOHdWpU8fm9okTJ+r9999X4cKF1adPH+XJk0chISE6fPjwI49t9umnn6pfv37y8fFRmzZtVKBAAV28eFF79uzRmjVr1K5dO6v448ePq169evLz81Pfvn116tQprVy5Uv7+/tq8ebOee+45S+yiRYv0ww8/yN/fXy+99JJu3LihiIgIjRo1Sr/99pulSe/l5aWxY8dqzpw5ku7drMns/g8Wc+fO1ZAhQ+Ti4qI2bdqoZMmSOnfunLZv367vvvtO9evXt8p1/vz52rBhg1q1aqVGjRppw4YN+uijj3T58mV99dVXKX6Orl27pvr166tIkSLq0aOH/v77b/344486cuSI1q1bpwYNGuiZZ55Rr169tHfvXq1atUpXr17V5s2brY4za9YsDRs2TPnz51eXLl3k6uqq77//XsOGDdO2bdu0evVqqy97Uvv6Xr16Vf7+/jp48KDq1aunN998UzExMVq3bp0CAwO1cuVKtW7dOkXXXLduXUnSpk2b9MILL6T4ubKlRIkSku7NNDcfd9++fSpZsqQlZubMmTp+/Lh+/PHHNJ0LAABkDXMNYxiGXnnlFa1bt04VKlTQW2+9pbi4OIWEhKhly5aaNWuWhgwZIkmqVq2aChQokKTRZn58+/Zt7dixQ02aNJF071ekp06dSlKnjxo1SlOnTlWxYsXUtm1beXp6atu2bXrnnXe0e/durVy5Mkm+K1euVFhYmFq0aKF+/fopJibmkddoXsPZVm1+48YNNWzYUP/9739Vt25dBQQE6MyZM+rYsaOaNm36yGNL9567oKAg7d69W/Xq1VOzZs1kZ2enU6dO6fvvv1e3bt2SLOcxa9Ysbdq0SR07dlTz5s31yy+/aM6cOdq1a5e2bt2qPHnyWGLfeustVa9eXY0bN1bBggV17tw5rV27Vo0bN9bq1astE4gaNmyokydP6osvvlBAQIBVPe7l5SXp3n1smjRpoh07dqh8+fJ69dVX5eTkpMjISC1YsEDdu3dXvnz5LPvduXNHTZs21bVr19SuXTvduHFD33zzjTp06KANGzak+DmSpDVr1igsLEytW7dWvXr19NNPP+mDDz6QYRjy9PTUBx98oFatWqlhw4ZatWqVhg8frsKFC6t79+6WY9y6dUuNGjXSnj175Ofnp8GDB+vSpUsKCQlRaGioVqxYYfVlyeO8vt9//706dOggOzs7tWrVSiVKlNChQ4c0f/58hYaGavfu3VbP0cPUrVtXX375pf7++29VqFAhxc/Vo/Tq1UsLFizQl19+qWHDhlnGP//8c+XPnz/Zzw6BgYH6+eefFR4ebqnvpXv/duvUqaNnn31W+fLlU3h4uLp06WK13bw/kOMZAPAEWbdunSHJcHd3N4YNG2aEhoYaly9fTjZ+6dKlhiTjP//5zyOP/e677xqSjAkTJhiGYRh37twx8uTJYzg4OBg3b95Ml/zfeecdQ5KxcePGJNsiIyMNBwcHo1ixYsalS5cs49HR0UbFihUNSUZAQIDVPj169DAkGSdOnLCM+fn5GY6OjlbHMLv/uTpx4oQhyZBkjBw50ipuw4YNhiSjatWqVuOnTp0yEhISrMYSExONXr16GZKM7du3W23z9fU1fH19bT4XBw4cMOzs7IyiRYta5W8+5rlz5yyPx44da0gyPD09jSNHjljGb9y4YVSoUMGws7Ozin8Y8zUPGTLEarxv376GJMPLy8uYM2eOVS4vvfSSIcnYu3evZfzo0aOGg4ODUahQIeP06dOW8Vu3bhn169c3JBnLli2zjD/O69ulSxdDkrFo0SKr8UuXLhklSpQwChYsaPXetPV+uP88kgx/f/8UPU/m5zw8PNzmsYoUKWIULlzYGDJkiOX5mTlzpuW5cXFxMT777LMUncvsYe8XAACQfsx1YFBQUJJt77//viHJCAwMNAzDML744gtLnRIfH2+JO3XqlOHt7W04ODgYx44ds4y3bdvWkGRcvHjRMla1alWjQYMGhqOjozFq1CjL+OLFi5PUTGFhYZbcYmNjLeOJiYnGm2++aUgyvvvuO8v4kiVLDEmGnZ2dzRr7YQoWLGgUK1bM5jZzLdSnTx+rcXOdLMlYsmSJ1bYH67k///zTkGS0bt06yfFv3bplXL9+Pcn5HB0djT/++MMynpiYaKkJZ8yYYXWM48ePJznu+fPnjaJFixrly5e3Gg8PDzckGWPHjrV5vcOGDTMkGd26dUtS70dFRVnl6uvra0gyWrVqZfWe+OWXX5J9X9lifu3y5Mlj7NmzxzIeExNjFCpUyMibN69RpEgRq/fX6dOnDUdHxySfU8aPH2/53JeYmGgZ37dvn+Ho6Gh4eXkZMTExlvHUvr6XL182PDw8jGLFihknT5602mfFihWGJKN///5W47bqe7O5c+cakozPP//84U/S//ewOvnBf89VqlQxKleubNl+4cIFw8HBwRgwYIBhGIbh5OSU5Fi///67Iclo0qSJZezff/81TCaTMX78eMMwDKNly5ZG2bJlLdvv3r1reHl5GS4uLlbvg5TmDTxpWM4FwBOlZcuWmjlzpgzD0MyZMxUUFCRvb2+VK1dO/fv3V2RkpFX8xYsXJf3fzNmHMcdcuHBB0r01Eu/cuSNvb+90W9/t7NmzkqTChQsn2fb1118rISFBQ4cOVaFChSzjHh4eGj16dKrOkydPHqtZKmbmmfz38/LySnKzyaCgIL3wwgv673//a7WsS8mSJWVvb28VazKZLDdi+uWXX1Kc44IFC5SYmKgPPvggyc9tTSaTihYtmmSfQYMGqWLFipbHLi4u6ty5sxITE20uP5McNzc3ffDBB1ZjnTt3lnTvORo4cKBVLp06dZJ07yfKZubXa9iwYVbvLycnJ02bNk2S9Y10Uvv6Xr58WSEhIWrUqJF69+5tta1QoUJ655139O+//6b4Offw8JCzs7PlPZgWHh4e2rhxoypXrqzg4GAdPnxYkyZN0qBBgyRJb7zxhp599lm9/vrr2r17t5599lk5ODjI19dXX3zxRZrPDwAA0sfRo0c1btw4jRs3Tu+88478/f01YcIEOTs7a9KkSZJk+f/u6dOny9HR0bJvyZIlNWTIECUkJFj9ItA8I9U8Q/Xy5cv63//+p5deekl16tSx+mWfOeb+mdHz58+XJC1cuFCurq6WcZPJpKlTp8pkMmnFihVJrqVVq1aWX5OmxO3bt/Xvv//arMsladmyZXJ0dNSECROsxs11cmq4uLgkGXNycpKbm1uS8e7du6tatWqWxyaTSZMnT5a9vX2S5T9sLYPj4+Ojdu3aKTIy0mq5mIdJSEjQwoUL5enpqblz5yap9z09PW3mOnv2bKv3xAsvvCBfX98kS4I8SteuXVWrVi3LY3d3d7Vo0UI3btxQ3759VaZMGcu2EiVKqH79+jp06JDV8olffPGF8uTJY3mPmNWsWVM9evRQVFSU1q5daxlP7eu7bNkyxcTEaMqUKUl+PdCpUyf5+fnpm2++SfE1m9936VGbP6hXr146ePCgdu/eLenec5OQkGBzKRezmjVrysvLSzt27NDt27cl3VuqxTAMy7/PgIAAHTt2zLK044EDBxQVFaXnn3/e6n0A5FQs5wLgiTN06FD16dNHGzZs0K+//qrff/9du3fv1scff6zFixdbflqaHZnXyjP/bPJ+5gZtgwYNkmyzNZacTp06afjw4apSpYq6dOmiwMBA1a9fP9k12GvWrGmzKG7QoIE2bdqk/fv3W9a+vn37tubPn69vvvlGR44cUWxsrAzDsOxz/vz5FOe5Z88eSUrVTz3vX4PbrHjx4pKkqKioFB+nfPnyyps3r9WY+QY51apVS7Levnnb/de3f/9+SdYf+szq1q0rZ2dnHThwwDKW2tf3t99+0927dxUfH59kHXlJli+Mjhw5ohYtWiTZbkv+/Pl1+fLlFMU+SpUqVSw/gb7f559/ru3bt+uPP/5QbGysmjdvrho1amjDhg368ccf1bNnT1WqVMlqmSAAAJA1jh07pvHjx0u6NwmjcOHC6tKli0aOHKmqVatKulfz5M2bV7Vr106yv7lhfn/Nc38TvVOnTpZGXKNGjXTr1i1NmjRJ169fl7u7u8LDw1W2bFmrCQm7du2Sq6urPv/8c5s5u7i46MiRI0nGbeX3MA+ry2NiYnTixAk9/fTTKlKkSJLt5jr5UZ566ilVq1ZNK1as0NmzZ9W6dWs1bNhQNWrUSHapSFt1oa+vr0qUKKGDBw/q9u3blobl8ePHNWXKFG3evFnnzp1TfHy81X7nz59P0vC15ciRI7p+/boaN26c4uVIvLy8bDbxixcvbrmPVUrZWqbTXH8nt+3u3bu6dOmSihUrppiYGB0/flxPPfWU5bPB/QIDA7Vo0SIdOHBA3bp1e6zXd9euXZKk3bt369ixY0n2uXXrli5fvqzLly/L29v7kdecP39+SUq32vx+Xbt21YgRI/T555/rueee05IlS1SzZs2HLodqZ2enBg0a6IcfftCePXtUv359hYeHy9nZ2VK3BwQESLr3b7t79+6sh45chyY6gCeSu7u72rdvb1nXLjo6Wu+++64++eQTvfbaazp37pwcHR0tRZH52/KHMceYC7YCBQooT548unLliuLj41O05vmjmGeh2LqRZHR0tCRZzVI2S26GjC1vv/22ChQooE8//VQzZ87UjBkz5ODgoObNm2v27NlJit3kjm0eN+clSa+88op++OEHVahQQR07dlShQoWUJ08eRUVFae7cuUkK94eJjo6WyWSyurv7o9j6IsB89/gHbzL1uMd52Lb7b55qXmfT1vNnMplUuHBhnTt3zjKW2tf36tWrkqQdO3YkezMk6d4NlFLq5s2bSb48SE+XLl3S22+/rdGjR6tixYr67LPPdPXqVS1dulTFixdX48aN9fPPP2vOnDk2Z5ABAIDMFRQUpA0bNjw0JiYmJtlfdZrruPvXH69cubIKFSpkmWUeHh4uDw8PPfPMM7p586bGjx+vbdu2qXz58jp37lySX9xdvXpVCQkJlua+Lbbqn9TUy9LD63Lz9diq21JzLgcHB23evFnjxo3TqlWrLGtUFyxYUP3799d7772XZNb3w2rzkydP6vr16ypQoICOHj2q2rVrKyYmRoGBgXr55Zfl4eEhOzs7RUREaMuWLSmuzc11arFixVIUL92bnW6Lg4OD5YagKZXW2vxhdbmU9H36OK+vuTb/+OOPk7mKe+Li4lLURL9586YkZUhtXrBgQb388sv65ptv1L59e/3111+aN2/eI/cz3yw4IiJC9evXV0REhOrUqWP5HFyjRg15enpamujmf+ONGjVK92sAsiOWcwGQI3h6emr+/Pny9fXV5cuX9d///leS9Pzzz0u691O0RzVZzbMNzDdScXBwUO3atXXnzh1t3bo1XfIsWLCgpP8rwh68BklJ7qQu3WtOppTJZFKvXr3022+/6d9//9WaNWvUtm1brVu3Ti1atEjyPCR3bPO4Oa/ffvtNP/zwg4KCgnTo0CEtWrRIkyZN0rhx4yzLnaSGl5eXDMOwLJ/zpDEX9LaeP8MwdOnSJauiP7Wvr3nfYcOGyTCMZP/Gjh2bonwTExMVHR1teQ9mhAEDBqh48eIaMWKEJOmvv/6St7e31YygGjVq2Jw9BgAAsicPDw+b9Yv0f0snPtjobNiwoSIjI3Xu3DlFRETI399f9vb2qlOnjlxcXBQeHp7sLFYPDw8VKFDgofXPiRMnkuTy4C8JH8XLy0t58uSxWZebrye5605NbV6gQAHNmzdP586ds9yEMn/+/Bo7dqymT5+e4mNfunRJJpNJ7u7uku4tpXLt2jUtXbpUGzdu1Jw5czRhwgSNGzdOlSpVSnF+0v/Nxr9/AsiT5GF1uZT0ffo4r695n//+978PfW+mZOa/9H+fBzOqNn/ttdcUExOjnj17ytnZWf/5z38euc/9vyL5559/dOjQIatf3drb21tmqCcmJmrbtm1yc3OzWooHyMloogPIMUwmk9W6idK9ZTuef/55nTt37qFrMW/atEm7d+9W6dKlrQr51157TZI0efJkq2VLbEnJTA/zz2L/+uuvJNuqV68uSdq2bVuSbbbGUqJAgQJq3bq1ZW3tQ4cO6ejRo1Yx+/fvV2xsbLLnrFmzpiRZfrbYvHnzJDNmksvP3t4+2S8vzD+5DQsLS8UVZR/m58X8AfB+u3fv1q1bt6x+Mpna17dWrVoymUyp/jlsciIjI5WYmGh5D6a3H374QatWrdKiRYus1uN/8N9FfHx8qj/kAgCArFOzZk3duHHDshTf/cx10IPLRJjr6RUrVujQoUOWmapOTk56/vnntXnzZpvroUvSc889pytXriS511FGqFKlik6cOGFZA9rMw8NDpUuX1tGjRy0N2Ps9Tm1uMpn01FNP6a233tLGjRslSd9//32Kjn3q1CmdOXNGlStXtizlYq7NW7VqZRVrGIbNXzGa63dbtXnFihXl4eGh3377TdeuXUvllWU9Dw8PlSlTRkePHrX5RcCD79PHeX3NS5qkV21u/jyYUbV5UFCQihUrpnPnzql169YpWqanWrVqyp8/v3bu3KnQ0FBJSf99BgQE6NSpU1q9erWio6NVv359yy8DgJyOJjqAJ8qCBQuSvVHN2rVrdfjwYXl5ealKlSqW8blz58rR0VEDBgzQjz/+mGS/PXv2qEuXLjKZTJo3b55Vg7hbt25q0KCBIiIi9Oqrr+r69etJ9r906ZJljfZHMa8jZ77Jy/26dOkie3t7zZo1y2pWRExMTJKbYD6Med3J+925c8cy2+HBm6RGRUVZbhxlFhoaqk2bNqlKlSqWdcjNsyq2b99uFXvw4EFNmTLFZi7mNbht/Uz2zTfflL29vUaPHp3kpkeGYaRqffWs0KVLFzk4OGjWrFlWud6+fdsyE7tnz55W8al5fYsUKaIOHTro119/1YcffmjzS5zdu3frxo0bKcrX/J4zvwfTU0xMjPr166f+/ftbrXX+1FNPKSYmxvJB7vr169q2bZueeuqpdM8BAABkjB49ekiSRo0aZbW03ZkzZzRr1iw5ODgkmeVqbqKbZ1rfv9xDYGCgDhw4oLCwMFWoUCHJzeTNN3jv1auXZd3y+128eFGHDx9Ohyu7VxfFx8db3TzerFu3brp9+7bef/99q/GwsLAUrYcuSSdPntTJkyeTjJtnOj9Yl0v3bmD5559/Wh4bhqF3331Xd+/etaotk6vNp06dqv/9739Jjmteg9vWMpcODg564403FB0drUGDBiVptEdHR9ucdJOd9OjRQ3fu3NGoUaOs6uY///xTS5culaenp1q3bm0ZT+3r++qrr8rd3V3vvfeeDh48mGT7jRs3LOump8Tu3bvl4OBg+eV0erO3t9fatWu1Zs2aZD+rPcjOzk4BAQG6efOmpk+fLmdnZ9WpU8cqxvxZwrzcEuuhIzfh6yIAT5T169frzTffVLly5VSvXj0VLVpUcXFx2r9/v7Zt2yY7Ozt98sknVuuXP/vss/ruu+/UuXNnvfzyy6pbt67q1q0rBwcHHThwQL/88ovs7e21aNEiNW/e3Op8Dg4OWrt2rdq3b68vvvhC33//vZo2barSpUvr9u3bOnTokCIiInTnzh117dr1kflXq1ZNZcqUscw+uV+5cuX0/vvva+zYsapWrZo6dOggBwcHrVq1StWqVbM5e92W1q1by8PDQ3Xq1JGvr6/u3LmjjRs36tChQ3rllVeS/MSwQYMG+vTTT7V7927VqVNHJ0+e1MqVK+Xi4qLg4GBLXO3atVW7dm19++23unDhgurUqaPTp0/r+++/V/PmzfXdd98lyaVRo0b6/fff9eKLL6pBgwZydHSUv7+//P39VbVqVc2ZM0cDBw5U5cqV1bp1a/n6+urixYvaunWrmjdvrjlz5qTomrNC2bJlNW3aNA0bNszyerm6uuqHH37QX3/9pVatWlm9Jx7n9f3kk0/0119/afjw4fryyy9Vt25deXl56cyZM/r9998VGRmpCxcupGgtxY0bN8rBwSHFNyFNjZEjR8rOzi7JlzFdunTR6NGj1bZtW3Xu3FkRERGKiorS4MGD0z0HAACQMbp166bVq1dr3bp1qlatmlq0aKG4uDiFhITo6tWrmjlzpsqUKWO1T8WKFeXj46MLFy6oQIECqlatmmVbYGCgEhMTdeXKFb3yyitJztesWTONGTNGEydOVLly5dSsWTP5+vrqypUrOnr0qLZt26YPPvggXb6Ub9Omjeb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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_battery_output(hybrid_plant)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_generation_profile(hybrid_plant)" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" + }, + "kernelspec": { + "display_name": "Python 3.8.17 ('storage')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/workshop/04-load-following-battery.ipynb b/examples/workshop/04-load-following-battery.ipynb new file mode 100644 index 000000000..59c47409a --- /dev/null +++ b/examples/workshop/04-load-following-battery.ipynb @@ -0,0 +1,347 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Modify Battery Storage Parameters Example\n", + "---\n", + "In this example, we will show how to modify the battery storage parameters in the hybrid plant simulation. The major change is from using the default dispatch which is a profit maximization objective function to a load following objective function. The load follow objective will minimize system operating costs while load following." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Import Required Modules\n", + "Begin by importing the necessary modules for the simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-09-28T09.47.55.975536.log\n" + ] + } + ], + "source": [ + "from hopp.simulation.hybrid_simulation import HybridSimulation\n", + "from hopp.simulation.technologies.dispatch.plot_tools import (\n", + " plot_battery_output, plot_battery_dispatch_error, plot_generation_profile\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set Site Information\n", + "Set wind and solar resource data at plant location and load pricing data. In this example, we use the Flatirons site as an example location.\n", + "\n", + "**NOTE**: For a load following objective function the `desired_schedule` must be set." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from hopp import ROOT_DIR\n", + "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", + "\n", + "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", + "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", + "DEFAULT_PRICE_FILE = ROOT_DIR.parent / \"resource_files\" / \"grid\" / \"pricing-data-2015-IronMtn-002_factors.csv\"\n", + "\n", + "baseload_limit_kw = float(30 * 1000)\n", + "baseload_percent = 95.0\n", + "DEFAULT_LOAD = baseload_limit_kw*np.ones((8760))/1000\n", + "\n", + "site = SiteInfo(\n", + " flatirons_site,\n", + " solar_resource_file=DEFAULT_SOLAR_RESOURCE_FILE,\n", + " wind_resource_file=DEFAULT_WIND_RESOURCE_FILE,\n", + " grid_resource_file=DEFAULT_PRICE_FILE,\n", + " desired_schedule=DEFAULT_LOAD,\n", + " solar=True,\n", + " wind=True,\n", + " wave=False\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define System Capacities\n", + "Define the capacities of the solar, wind, and battery components of the hybrid system in megawatts (MW)." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "solar_size_mw = 50\n", + "wind_size_mw = 50\n", + "battery_capacity_mw = 20\n", + "interconnection_size_mw = 100" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Configure Technology Parameters\n", + "Configure the characteristics of each technology in the system, including PV (solar), wind, battery, and grid interconnection." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "technologies = {\n", + " 'pv': {\n", + " 'system_capacity_kw': solar_size_mw * 1000,\n", + " },\n", + " 'wind': {\n", + " 'num_turbines': 10,\n", + " 'turbine_rating_kw': int(wind_size_mw * 1000 / 10)\n", + " },\n", + " 'battery': {\n", + " 'system_capacity_kwh': battery_capacity_mw * 1000,\n", + " 'system_capacity_kw': battery_capacity_mw * 4 * 1000\n", + " },\n", + " 'grid': {\n", + " 'interconnect_kw': interconnection_size_mw * 1000\n", + " }\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Specify the Battery Dispatch\n", + "Create a dictionary that will be used to instantiate the `HybridSimulation` class and configure the desired battery dispatch model." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "dispatch_options = {'battery_dispatch': 'simple',\n", + " 'solver': 'cbc',\n", + " 'n_look_ahead_periods': 48, #hrs\n", + " 'grid_charging': True,\n", + " 'pv_charging_only': False,\n", + " 'include_lifecycle_count': False}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create the Hybrid Simulation Model\n", + "Instantiate the `HybridSimulation` class by providing the technology configuration and site information." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant = HybridSimulation(technologies, site, dispatch_options)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Adjust Battery Parameters\n", + "Modify various parameters for the battery, such as the state of charge (SOC)." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant.battery._system_model.value(\"minimum_SOC\", 20.0)\n", + "hybrid_plant.battery._system_model.value(\"maximum_SOC\", 100.0)\n", + "hybrid_plant.battery._system_model.value(\"initial_SOC\", 90.0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the Simulation\n", + "Simulate the hybrid renewable energy system for a specified number of years (in this case, 20 years)." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant.simulate(project_life=20)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Print Simulation Results\n", + "Access and display various simulation results, including annual energies, net present values (NPVs), and total revenues." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Output after losses over gross output: 0.7997475965517965\n", + "Annual Energies:\n", + "{\"pv\": 104053614.17593749, \"wind\": 156936144.3525466, \"battery\": -889892.7145233898, \"hybrid\": 194899990.98027584}\n", + "Net Present Values:\n", + "{\"pv\": -34633452.62880054, \"wind\": -57358955.19811408, \"battery\": -33564722.98258493, \"hybrid\": -130627288.56236602}\n", + "Total Revenues:\n", + "{\"pv\": [0.0, 100822.81119202862, 101831.0393039489, 102849.3496969884, 103877.8431939583, 104916.62162589785, 105965.78784215686, 107025.44572057843, 108095.7001777842, 109176.65717956203, 110268.42375135767, 111371.10798887124, 112484.81906875994, 113609.66725944755, 114745.76393204203, 115893.22157136246, 117052.15378707607, 118222.67532494686, 119404.90207819629, 120598.95109897826, 121804.94060996805], \"wind\": [0.0, 154112.71406684216, 155653.8412075106, 157210.37961958573, 158782.48341578158, 160370.30824993938, 161974.01133243882, 163593.7514457632, 165229.6889602208, 166881.985849823, 168550.80570832125, 170236.31376540445, 171938.67690305848, 173658.0636720891, 175394.64430880998, 177148.5907518981, 178920.07665941704, 180709.27742601128, 182516.37020027134, 184341.53390227404, 186184.9492412968], \"battery\": [0.0, 16735.56189240741, 16902.917511331485, 17071.9466864448, 17242.66615330925, 17415.09281484234, 17589.24374299077, 17765.136180420675, 17942.78754222488, 18122.215417647127, 18303.4375718236, 18486.471947541835, 18671.336667017255, 18858.05003368743, 19046.6305340243, 19237.096839364545, 19429.46780775819, 19623.762485835774, 19820.000110694127, 20018.20011180107, 20218.38211291908], \"hybrid\": [0.0, 197718.52045873844, 199695.70566332585, 201692.6627199591, 203709.5893471587, 205746.68524063026, 207804.15209303662, 209882.19361396699, 211981.01555010662, 214100.82570560768, 216241.83396266378, 218404.2523022904, 220588.29482531332, 222794.17777356648, 225022.11955130214, 227272.34074681517, 229545.0641542833, 231840.51479582617, 234158.91994378436, 236500.50914322224, 238865.51423465446]}\n" + ] + } + ], + "source": [ + "print(\"Output after losses over gross output:\",\n", + " hybrid_plant.wind.value(\"annual_energy\") / hybrid_plant.wind.value(\"annual_gross_energy\"))\n", + "\n", + "# Save the outputs\n", + "annual_energies = hybrid_plant.annual_energies\n", + "npvs = hybrid_plant.net_present_values\n", + "revs = hybrid_plant.total_revenues\n", + "\n", + "print(\"Annual Energies:\")\n", + "print(annual_energies)\n", + "\n", + "print(\"Net Present Values:\")\n", + "print(npvs)\n", + "\n", + "print(\"Total Revenues:\")\n", + "print(revs)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualize Simulation Results (Optional)\n", + "Optionally, you can visualize the simulation results using plots. Several functions are provided for plotting battery output, generation profiles, and dispatch errors." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_battery_dispatch_error(hybrid_plant)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_battery_output(hybrid_plant)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_generation_profile(hybrid_plant)" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" + }, + "kernelspec": { + "display_name": "Python 3.8.17 ('storage')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/workshop/05-floris-wake-model.ipynb b/examples/workshop/05-floris-wake-model.ipynb new file mode 100644 index 000000000..e5f51b5c4 --- /dev/null +++ b/examples/workshop/05-floris-wake-model.ipynb @@ -0,0 +1,264 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Swap Default PySAM WindPower for FLORIS Example\n", + "---\n", + "In this example, we will show how to change the default [PySAM WindPower](https://nrel-pysam.readthedocs.io/en/main/modules/Windpower.html) wind model to the [FLORIS](https://www.nrel.gov/wind/floris.html) wind model. FLORIS is capable of modeling different steady-state wind wake models and complex turbine interactions. This example is meant to illustrate how the inputs to HOPP change, although it's important to note that FLORIS offers additional adjustable parameters on its side." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Import Required Modules\n", + "We start by importing the necessary modules and setting up our working environment." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "from hopp.simulation.hybrid_simulation import HybridSimulation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set Site Information\n", + "Set wind and solar resource data at plant location. In this example, we use the Flatirons site as an example location." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "from hopp import ROOT_DIR\n", + "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", + "\n", + "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", + "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", + "\n", + "\n", + "site = SiteInfo(\n", + " flatirons_site,\n", + " solar_resource_file=DEFAULT_SOLAR_RESOURCE_FILE,\n", + " wind_resource_file=DEFAULT_WIND_RESOURCE_FILE,\n", + " solar=True,\n", + " wind=True,\n", + " wave=False\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define System Capacities\n", + "Specify the capacities of the solar, wind, and interconnection components of the hybrid system in megawatts (MW)." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "solar_size_mw = 50\n", + "wind_size_mw = 20\n", + "interconnection_size_mw = 50" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Read in FLORIS Configuration\n", + "The FLORIS configuration is defined in a `yaml` file that has the wind farm layout and wake models defined." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "import yaml\n", + "\n", + "floris_file = \"inputs/floris/gch.yaml\"\n", + "with open(floris_file, 'r') as f:\n", + " floris_config = yaml.load(f, yaml.FullLoader)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define Technologies Configuration\n", + "Configure the characteristics of each technology in the system, including PV (solar), wind, and grid interconnection.\n", + "\n", + "**NOTE**: Setting up the wind technology is different from when using PySAM WindPower. You must include the `floris_config` in the wind technology.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "technologies = {\n", + " 'pv': {\n", + " 'system_capacity_kw': solar_size_mw * 1000\n", + " },\n", + " 'wind': {\n", + " 'num_turbines': 4,\n", + " 'turbine_rating_kw': (wind_size_mw * 1e3) / 4, \n", + " 'model_name': 'floris', \n", + " 'timestep': [0, 8760],\n", + " 'floris_config':floris_config,\n", + " 'skip_financial': True\n", + " },\n", + " 'grid': {\n", + " 'interconnect_kw': interconnection_size_mw * 1000\n", + " }\n", + " }" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create the Hybrid Simulation Model\n", + "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information.\n", + "\n", + "**NOTE**: When you create the instance you should see a print out that says `FLORIS is the system model...`" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FLORIS is the system model...\n" + ] + } + ], + "source": [ + "hybrid_plant = HybridSimulation(technologies, site)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the Simulation\n", + "Simulate the hybrid renewable energy system for a specified number of years (in this case, 25 years)." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulating wind farm output in FLORIS...\n", + "Wind annual energy: 53899704.432676055\n" + ] + } + ], + "source": [ + "hybrid_plant.simulate(25)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Retrieve and Display Results\n", + "Access the simulation results, including annual energies, capacity factors and net present values (NPVs), and print them to the console." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wind Installed Cost: 72700000.0\n", + "Solar Installed Cost: 48000000.0\n", + "Hybrid Installed Cost: 120700000.0\n", + "Wind NPV: -68746620.18680064\n", + "Solar NPV: -35042037.04939877\n", + "Hybrid NPV: -104296171.12675565\n", + "{\"pv\": 104053614.17593749, \"wind\": 71702641.3705228, \"hybrid\": 175298576.2259878}\n", + "{\"pv\": 23.75653291688071, \"wind\": 16.370466066329406, \"hybrid\": 20.063499491605054}\n", + "{\"pv\": -35042037.04939877, \"wind\": -68746620.18680064, \"hybrid\": -104296171.12675565}\n" + ] + } + ], + "source": [ + "annual_energies = hybrid_plant.annual_energies\n", + "npvs = hybrid_plant.net_present_values\n", + "cf = hybrid_plant.capacity_factors\n", + "\n", + "wind_installed_cost = hybrid_plant.wind.total_installed_cost\n", + "solar_installed_cost = hybrid_plant.pv.total_installed_cost\n", + "hybrid_installed_cost = hybrid_plant.grid.total_installed_cost\n", + "\n", + "print(\"Wind Installed Cost: {}\".format(wind_installed_cost))\n", + "print(\"Solar Installed Cost: {}\".format(solar_installed_cost))\n", + "print(\"Hybrid Installed Cost: {}\".format(hybrid_installed_cost))\n", + "\n", + "print(\"Wind NPV: {}\".format(hybrid_plant.net_present_values.wind))\n", + "print(\"Solar NPV: {}\".format(hybrid_plant.net_present_values.pv))\n", + "print(\"Hybrid NPV: {}\".format(hybrid_plant.net_present_values.hybrid))\n", + "\n", + "print(annual_energies)\n", + "print(cf)\n", + "print(npvs)" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" + }, + "kernelspec": { + "display_name": "Python 3.8.17 ('storage')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/workshop/06-wave-wind.ipynb b/examples/workshop/06-wave-wind.ipynb new file mode 100644 index 000000000..ef79d495f --- /dev/null +++ b/examples/workshop/06-wave-wind.ipynb @@ -0,0 +1,348 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Simple Wave and Wind Hybrid Plant Example\n", + "---\n", + "In this example, we will walk through the process of simulating a hybrid renewable energy system including both wave and wind energy." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Import Required Modules\n", + "We start by importing the necessary modules and setting up our working environment." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-09-28T09.17.44.626966.log\n" + ] + } + ], + "source": [ + "from hopp.simulation.technologies.sites import SiteInfo\n", + "from hopp.simulation.technologies.sites import flatirons_site as sample_site\n", + "from hopp.simulation.hybrid_simulation import HybridSimulation\n", + "from hopp.utilities.keys import set_nrel_key_dot_env" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set API Key\n", + "To access the Wind Toolkit (wind resource) and NSRDB (solar resource) data, we need to set an API key. You can obtain an API key from the [NREL developer website](https://developer.nrel.gov/signup/).\n", + "\n", + "To set up the `NREL_API_KEY` required for resource downloads, you can create an Environment Variable called `NREL_API_KEY`. Otherwise, you can keep the key in a new file called \".env\" in the root directory of this project.\n", + "\n", + "Create a file \".env\" that contains the single line:\n", + "`NREL_API_KEY=key`" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Set API key using the .env\n", + "set_nrel_key_dot_env()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### (Optional)\n", + "\n", + "This step is if you do not set the API key using a \".env\" file." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from hopp.utilities.keys import set_developer_nrel_gov_key\n", + "\n", + "# Set API key manually if not using the .env\n", + "global NREL_API_KEY\n", + "NREL_API_KEY = os.getenv(\"NREL_API_KEY\") # Set this key manually here if you are not setting it using the .env\n", + "set_developer_nrel_gov_key(NREL_API_KEY) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Retrieve Resource Data\n", + "Obtain the resource data for your location. Set the `site_input_data` dictionary with the desired location, year, and resources used in hybrid plant.\n", + "\n", + "The Wind resource data will be downloaded using the API key. The Wave resource data must be pre-loaded in the format given in the `Wave_resource_timeseries.csv`." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "from hopp import ROOT_DIR\n", + "\n", + "site_input_data = sample_site\n", + "site_input_data['lat'] = 44.6899\n", + "site_input_data['lon'] = -124.1346\n", + "site_input_data['year'] = 2010\n", + "\n", + "DEFAULT_WAVE_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wave\" / \"Wave_resource_timeseries.csv\"\n", + "\n", + "site = SiteInfo(\n", + " site_input_data,\n", + " wave_resource_file=DEFAULT_WAVE_RESOURCE_FILE,\n", + " solar=False, \n", + " wind=True, \n", + " wave=True\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Read in Wave Technology Configuration\n", + "The Wave configuration is defined in a `yaml` file that has the wave power matrix and device information." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "import yaml\n", + "\n", + "mhk_yaml_path = \"inputs/wave/wave_device.yaml\"\n", + "with open(mhk_yaml_path, 'r') as stream:\n", + " mhk_config = yaml.safe_load(stream)\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Setup Financial Model Paremeters\n", + "\n", + "The wave model does not have a default financial model so we have to set up the `CustomFinancialModel` from HOPP.\n", + "\n", + "The `default_fin_config` contains all of the necessary parameters for the financials to be calculated when running `HybridSimulation`." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel\n", + "\n", + "default_fin_config = {\n", + "\t'batt_replacement_schedule_percent': [0],\n", + "\t'batt_bank_replacement': [0],\n", + "\t'batt_replacement_option': 0,\n", + "\t'batt_computed_bank_capacity': 0,\n", + "\t'batt_meter_position': 0,\n", + "\t'om_fixed': [1],\n", + "\t'om_production': [2],\n", + "\t'om_capacity': (0,),\n", + "\t'om_batt_fixed_cost': 0,\n", + "\t'om_batt_variable_cost': [0],\n", + "\t'om_batt_capacity_cost': 0,\n", + "\t'om_batt_replacement_cost': 0,\n", + "\t'om_replacement_cost_escal': 0,\n", + "\t'system_use_lifetime_output': 0,\n", + "\t'inflation_rate': 2.5,\n", + "\t'real_discount_rate': 6.4,\n", + "\t'cp_capacity_credit_percent': [0],\n", + "\t'degradation': [0],\n", + "\t'ppa_price_input': (0.01,),\n", + "\t'ppa_escalation': 1\n", + "\t}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define Technologies Configuration\n", + "Configure the characteristics of each technology in the system, including wind, wave, and grid interconnection.\n", + "\n", + "The technologies all have to use the same financial model so you can see that we call the `CustomFinancialModel` for each technology." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "interconnection_size_kw = 15000\n", + "wind_kw = 10000\n", + "\n", + "technologies = {'wind': {\n", + " 'num_turbines': 5,\n", + " 'turbine_rating_kw': wind_kw / 5,\n", + " 'fin_model': CustomFinancialModel(default_fin_config)\n", + " },\n", + " 'wave':{\n", + " 'device_rating_kw': mhk_config['device_rating_kw'], \n", + " 'num_devices': 10, \n", + " 'wave_power_matrix': mhk_config['wave_power_matrix'],\n", + " 'fin_model': CustomFinancialModel(default_fin_config)\n", + " },\n", + " 'grid': {\n", + " 'interconnect_kw': interconnection_size_kw,\n", + " 'fin_model': CustomFinancialModel(default_fin_config)\n", + " }}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create the Hybrid Simulation Model\n", + "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant = HybridSimulation(technologies, site)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Add Wave Cost Model Inputs\n", + "Add the inputs to run the wave technology cost model and instantiate `MHKCosts`." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "cost_model_inputs = {\n", + "\t'reference_model_num':3,\n", + "\t'water_depth': 100,\n", + "\t'distance_to_shore': 80,\n", + "\t'number_rows': 10,\n", + "\t'device_spacing':600,\n", + "\t'row_spacing': 600,\n", + "\t'cable_system_overbuild': 20\n", + "\t}\n", + "\n", + "hybrid_plant.wave.create_mhk_cost_calculator(cost_model_inputs)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the Simulation\n", + "Simulate the hybrid renewable energy system for a specified number of years (in this case, 25 years)." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant.simulate(project_life = 25)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Retrieve and Display Results\n", + "Access the simulation results, including annual energies, capacity factors and net present values (NPVs), and print them to the console." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Annual Energy Production\n", + "{\"wind\": 32539658.835298087, \"wave\": 12132526.0, \"hybrid\": 44672184.83529807}\n", + "Net Present Value\n", + "{\"wind\": -14977200.729403041, \"wave\": -53731805.52113224, \"hybrid\": -68709006.25053555}\n", + "Capacity Factors\n", + "{\"wind\": 37.14572926403891, \"wave\": 48.426278059839696, \"hybrid\": 39.654467176635364}\n" + ] + } + ], + "source": [ + "aeps = hybrid_plant.annual_energies\n", + "npvs = hybrid_plant.net_present_values\n", + "cf = hybrid_plant.capacity_factors\n", + "\n", + "print(\"Annual Energy Production\")\n", + "print(aeps)\n", + "print(\"Net Present Value\")\n", + "print(npvs)\n", + "print(\"Capacity Factors\")\n", + "print(cf)" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" + }, + "kernelspec": { + "display_name": "Python 3.8.17 ('storage')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/workshop/inputs/floris/gch.yaml b/examples/workshop/inputs/floris/gch.yaml new file mode 100644 index 000000000..b04976558 --- /dev/null +++ b/examples/workshop/inputs/floris/gch.yaml @@ -0,0 +1,232 @@ + +### +# A name for this input file. +# This is not currently only for the user's reference. +name: GCH + +### +# A description of the contents of this input file. +# This is not currently only for the user's reference. +description: Three turbines using Gauss Curl Hybrid model + +### +# The earliest verion of FLORIS this input file supports. +# This is not currently only for the user's reference. +floris_version: v3.0.0 + +### +# Configure the logging level and where to show the logs. +logging: + + ### + # Settings for logging to the console (i.e. terminal). + console: + + ### + # Can be "true" or "false". + enable: true + + ### + # Set the severity to show output. Messages at this level or higher will be shown. + # Can be one of "CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG". + level: WARNING + + ### + # Settings for logging to a file. + file: + + ### + # Can be "true" or "false". + enable: false + + ### + # Set the severity to show output. Messages at this level or higher will be shown. + # Can be one of "CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG". + level: WARNING + +### +# Configure the solver for the type of simulation. +solver: + + ### + # Select the solver type. + # Can be one of: "turbine_grid", "flow_field_grid", "flow_field_planar_grid". + type: turbine_grid + + ### + # Options for the turbine type selected above. See the solver documentation for available parameters. + turbine_grid_points: 3 + +### +# Configure the turbine types and their placement within the wind farm. +farm: + + ### + # Coordinates for the turbine locations in the x-direction which is typically considered + # to be the streamwise direction (left, right) when the wind is out of the west. + # The order of the coordinates here corresponds to the index of the turbine in the primary + # data structures. + layout_x: + - 0.0 + - 630.0 + - 1260.0 + - 1800.0 + + ### + # Coordinates for the turbine locations in the y-direction which is typically considered + # to be the spanwise direction (up, down) when the wind is out of the west. + # The order of the coordinates here corresponds to the index of the turbine in the primary + # data structures. + layout_y: + - 0.0 + - 0.0 + - 0.0 + - 0.0 + + ### + # Listing of turbine types for placement at the x and y coordinates given above. + # The list length must be 1 or the same as ``layout_x`` and ``layout_y``. If it is a + # single value, all turbines are of the same type. Otherwise, the turbine type + # is mapped to the location at the same index in ``layout_x`` and ``layout_y``. + # The types can be either a name included in the turbine_library or + # a full definition of a wind turbine directly. + turbine_type: + - nrel_5MW + +### +# Configure the atmospheric conditions. +flow_field: + + ### + # Air density. + air_density: 1.225 + + ### + # The height to consider the "center" of the vertical wind speed profile + # due to shear. With a shear exponent not 1, the wind speed at this height + # will be the value given in ``wind_speeds``. Above and below this height, + # the wind speed will change according to the shear profile; see + # :py:meth:`.FlowField.initialize_velocity_field`. + # For farms consisting of one wind turbine type, use ``reference_wind_height: -1`` + # to use the hub height of the wind turbine definition. For multiple wind turbine + # types, the reference wind height must be given explicitly. + reference_wind_height: -1 + + ### + # The level of turbulence intensity level in the wind. + turbulence_intensity: 0.06 + + ### + # The wind directions to include in the simulation. + # 0 is north and 270 is west. + wind_directions: + - 270.0 + + ### + # The exponent used to model the wind shear profile; see + # :py:meth:`.FlowField.initialize_velocity_field`. + wind_shear: 0.12 + + ### + # The wind speeds to include in the simulation. + wind_speeds: + - 8.0 + + ### + # The wind veer as a constant value for all points in the grid. + wind_veer: 0.0 + +### +# Configure the wake model. +wake: + + ### + # Select the models to use for the simulation. + # See :py:mod:`~.wake` for a list + # of available models and their descriptions. + model_strings: + + ### + # Select the wake combination model. + combination_model: sosfs + + ### + # Select the wake deflection model. + deflection_model: gauss + + ### + # Select the wake turbulence model. + turbulence_model: crespo_hernandez + + ### + # Select the wake velocity deficit model. + velocity_model: gauss + + ### + # Can be "true" or "false". + enable_secondary_steering: true + + ### + # Can be "true" or "false". + enable_yaw_added_recovery: true + + ### + # Can be "true" or "false". + enable_transverse_velocities: true + + ### + # Configure the parameters for the wake deflection model + # selected above. + # Additional blocks can be provided for + # models that are not enabled, but the enabled model + # must have a corresponding parameter block. + wake_deflection_parameters: + gauss: + ad: 0.0 + alpha: 0.58 + bd: 0.0 + beta: 0.077 + dm: 1.0 + ka: 0.38 + kb: 0.004 + jimenez: + ad: 0.0 + bd: 0.0 + kd: 0.05 + + ### + # Configure the parameters for the wake velocity deficit model + # selected above. + # Additional blocks can be provided for + # models that are not enabled, but the enabled model + # must have a corresponding parameter block. + wake_velocity_parameters: + cc: + a_s: 0.179367259 + b_s: 0.0118889215 + c_s1: 0.0563691592 + c_s2: 0.13290157 + a_f: 3.11 + b_f: -0.68 + c_f: 2.41 + alpha_mod: 1.0 + gauss: + alpha: 0.58 + beta: 0.077 + ka: 0.38 + kb: 0.004 + jensen: + we: 0.05 + + ### + # Configure the parameters for the wake turbulence model + # selected above. + # Additional blocks can be provided for + # models that are not enabled, but the enabled model + # must have a corresponding parameter block. + wake_turbulence_parameters: + crespo_hernandez: + initial: 0.1 + constant: 0.5 + ai: 0.8 + downstream: -0.32 diff --git a/examples/workshop/inputs/floris/nrel_5MW.yaml b/examples/workshop/inputs/floris/nrel_5MW.yaml new file mode 100644 index 000000000..9ffe7939a --- /dev/null +++ b/examples/workshop/inputs/floris/nrel_5MW.yaml @@ -0,0 +1,167 @@ +turbine_type: 'nrel_5MW' +turbine_rating: 5.0 +generator_efficiency: 1.0 +hub_height: 90.0 +pP: 1.88 +pT: 1.88 +rotor_diameter: 126.0 +TSR: 8.0 +ref_density_cp_ct: 1.225 +ref_tilt_cp_ct: 5.0 +power_thrust_table: + power: + - 0.0 + - 0.000000 + - 0.000000 + - 0.178085 + - 0.289075 + - 0.349022 + - 0.384728 + - 0.406059 + - 0.420228 + - 0.428823 + - 0.433873 + - 0.436223 + - 0.436845 + - 0.436575 + - 0.436511 + - 0.436561 + - 0.436517 + - 0.435903 + - 0.434673 + - 0.433230 + - 0.430466 + - 0.378869 + - 0.335199 + - 0.297991 + - 0.266092 + - 0.238588 + - 0.214748 + - 0.193981 + - 0.175808 + - 0.159835 + - 0.145741 + - 0.133256 + - 0.122157 + - 0.112257 + - 0.103399 + - 0.095449 + - 0.088294 + - 0.081836 + - 0.075993 + - 0.070692 + - 0.065875 + - 0.061484 + - 0.057476 + - 0.053809 + - 0.050447 + - 0.047358 + - 0.044518 + - 0.041900 + - 0.039483 + - 0.0 + - 0.0 + thrust: + - 0.0 + - 0.0 + - 0.0 + - 0.99 + - 0.99 + - 0.97373036 + - 0.92826162 + - 0.89210543 + - 0.86100905 + - 0.835423 + - 0.81237673 + - 0.79225789 + - 0.77584769 + - 0.7629228 + - 0.76156073 + - 0.76261984 + - 0.76169723 + - 0.75232027 + - 0.74026851 + - 0.72987175 + - 0.70701647 + - 0.54054532 + - 0.45509459 + - 0.39343381 + - 0.34250785 + - 0.30487242 + - 0.27164979 + - 0.24361964 + - 0.21973831 + - 0.19918151 + - 0.18131868 + - 0.16537679 + - 0.15103727 + - 0.13998636 + - 0.1289037 + - 0.11970413 + - 0.11087113 + - 0.10339901 + - 0.09617888 + - 0.09009926 + - 0.08395078 + - 0.0791188 + - 0.07448356 + - 0.07050731 + - 0.06684119 + - 0.06345518 + - 0.06032267 + - 0.05741999 + - 0.05472609 + - 0.0 + - 0.0 + wind_speed: + - 0.0 + - 2.0 + - 2.5 + - 3.0 + - 3.5 + - 4.0 + - 4.5 + - 5.0 + - 5.5 + - 6.0 + - 6.5 + - 7.0 + - 7.5 + - 8.0 + - 8.5 + - 9.0 + - 9.5 + - 10.0 + - 10.5 + - 11.0 + - 11.5 + - 12.0 + - 12.5 + - 13.0 + - 13.5 + - 14.0 + - 14.5 + - 15.0 + - 15.5 + - 16.0 + - 16.5 + - 17.0 + - 17.5 + - 18.0 + - 18.5 + - 19.0 + - 19.5 + - 20.0 + - 20.5 + - 21.0 + - 21.5 + - 22.0 + - 22.5 + - 23.0 + - 23.5 + - 24.0 + - 24.5 + - 25.0 + - 25.01 + - 25.02 + - 50.0 diff --git a/examples/workshop/inputs/wave/wave_device.yaml b/examples/workshop/inputs/wave/wave_device.yaml new file mode 100644 index 000000000..8e8bf2514 --- /dev/null +++ b/examples/workshop/inputs/wave/wave_device.yaml @@ -0,0 +1,36 @@ +# RM3 Heaving Buoy + +# General device info +wec_reference_model: "RM3" +pto_type: "Hydraulic Drivetrain" +characteristic_diameter: 20 #[m] +unballasted_structural_mass: 687 +foundation_type: "floating" +mooring_type: "slack mooring" +primary_struc_material: "A36 Steel" + +device_rating_kw: 286 #[kW] +wave_power_matrix: +- [0.000000, 0.500000, 1.500000, 2.500000, 3.500000, 4.500000, 5.500000, 6.500000, 7.500000, 8.500000, 9.500000, 10.500000, 11.500000, 12.500000, 13.500000, 14.500000, 15.500000, 16.500000, 17.500000, 18.500000, 19.500000, 20.500000] +- [0.250000, 0.000000, 0.000000, 0.000000, 0.000000, 0.400000, 0.600000, 0.800000, 1.000000, 1.100000, 1.100000, 1.000000, 0.800000, 0.700000, 0.600000, 0.500000, 0.400000, 0.300000, 0.300000, 0.200000, 0.200000, 0.000000] +- [0.750000, 0.000000, 0.000000, 0.000000, 0.000000, 3.200000, 5.300000, 7.400000, 9.100000, 9.800000, 9.500000, 8.600000, 7.400000, 6.200000, 5.100000, 4.100000, 3.400000, 2.800000, 2.300000, 1.900000, 1.600000, 0.000000] +- [1.250000, 0.000000, 0.000000, 0.000000, 0.000000, 9.000000, 14.800000, 20.500000, 25.000000, 26.800000, 25.900000, 23.300000, 20.000000, 16.800000, 13.800000, 11.300000, 9.200000, 7.600000, 6.300000, 5.200000, 4.300000, 0.000000] +- [1.750000, 0.000000, 0.000000, 0.000000, 0.000000, 17.600000, 28.900000, 39.900000, 48.300000, 51.600000, 49.700000, 44.700000, 38.400000, 32.200000, 26.500000, 21.700000, 17.800000, 14.600000, 12.100000, 10.000000, 8.400000, 0.000000] +- [2.250000, 0.000000, 0.000000, 0.000000, 0.000000, 29.000000, 47.500000, 65.400000, 78.800000, 83.800000, 80.600000, 72.400000, 62.300000, 52.200000, 43.000000, 35.300000, 28.900000, 23.800000, 19.700000, 16.300000, 13.700000, 0.000000] +- [2.750000, 0.000000, 0.000000, 0.000000, 0.000000, 43.200000, 70.700000, 97.000000, 116.300000, 123.100000, 118.100000, 106.100000, 91.300000, 76.500000, 63.200000, 51.900000, 42.500000, 35.000000, 28.900000, 24.100000, 20.100000, 0.000000] +- [3.250000, 0.000000, 0.000000, 0.000000, 0.000000, 60.200000, 98.300000, 134.500000, 160.500000, 169.300000, 162.100000, 145.500000, 125.200000, 105.000000, 86.800000, 71.300000, 58.500000, 48.200000, 39.900000, 33.200000, 27.800000, 0.000000] +- [3.750000, 0.000000, 0.000000, 0.000000, 0.000000, 79.900000, 130.400000, 177.800000, 211.200000, 222.000000, 212.200000, 190.400000, 164.000000, 137.600000, 113.800000, 93.600000, 76.900000, 63.300000, 52.500000, 43.700000, 36.600000, 0.000000] +- [4.250000, 0.000000, 0.000000, 0.000000, 0.000000, 102.400000, 166.700000, 226.700000, 268.300000, 281.100000, 268.200000, 240.500000, 207.200000, 174.100000, 144.100000, 118.500000, 97.400000, 80.300000, 66.600000, 55.500000, 46.500000, 0.000000] +- [4.750000, 0.000000, 0.000000, 0.000000, 0.000000, 127.600000, 207.400000, 281.200000, 286.000000, 286.000000, 286.000000, 286.000000, 255.000000, 214.300000, 177.500000, 146.100000, 120.200000, 99.200000, 82.200000, 68.600000, 57.600000, 0.000000] +- [5.250000, 0.000000, 0.000000, 0.000000, 0.000000, 155.400000, 252.400000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 258.200000, 214.000000, 176.300000, 145.100000, 119.800000, 99.400000, 83.000000, 69.700000, 0.000000] +- [5.750000, 0.000000, 0.000000, 0.000000, 0.000000, 186.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 253.600000, 209.000000, 172.200000, 142.200000, 118.100000, 98.600000, 82.800000, 0.000000] +- [6.250000, 0.000000, 0.000000, 0.000000, 0.000000, 219.200000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 244.200000, 201.200000, 166.400000, 138.200000, 115.500000, 97.100000, 0.000000] +- [6.750000, 0.000000, 0.000000, 0.000000, 0.000000, 255.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 281.900000, 232.400000, 192.200000, 159.700000, 133.500000, 112.300000, 0.000000] +- [7.250000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 265.600000, 219.800000, 182.800000, 152.900000, 128.700000, 0.000000] +- [7.750000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 249.000000, 207.200000, 173.400000, 146.000000, 0.000000] +- [8.250000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 279.900000, 233.000000, 195.100000, 164.400000, 0.000000] +- [8.750000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 260.200000, 218.000000, 183.800000, 0.000000] +- [9.250000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 242.100000, 204.100000, 0.000000] +- [9.750000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 267.400000, 225.600000, 0.000000] + +num_devices: 100 \ No newline at end of file From f1e741af2b3a2aee7be4f53b998739b181fe7d9e Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Wed, 27 Sep 2023 17:19:02 -0700 Subject: [PATCH 16/46] Refactor Battery --- hopp/simulation/hybrid_simulation.py | 8 +- hopp/simulation/technologies/battery.py | 296 ++++++++++-------- .../power_storage/simple_battery_dispatch.py | 3 +- hopp/utilities/validators.py | 11 +- tests/hopp/test_battery.py | 285 +++++------------ tests/hopp/test_battery_dispatch.py | 214 +++++++++++++ tests/hopp/test_dispatch.py | 20 +- 7 files changed, 481 insertions(+), 356 deletions(-) create mode 100644 tests/hopp/test_battery_dispatch.py diff --git a/hopp/simulation/hybrid_simulation.py b/hopp/simulation/hybrid_simulation.py index 2fd5e4aee..0973c0029 100644 --- a/hopp/simulation/hybrid_simulation.py +++ b/hopp/simulation/hybrid_simulation.py @@ -5,7 +5,6 @@ import json import numpy as np -from scipy.stats import pearsonr import PySAM.GenericSystem as GenericSystem import PySAM.Singleowner as Singleowner @@ -17,7 +16,7 @@ from hopp.simulation.technologies.tower_source import TowerPlant from hopp.simulation.technologies.trough_source import TroughPlant from hopp.simulation.technologies.mhk_wave_source import MHKWavePlant -from hopp.simulation.technologies.battery import Battery +from hopp.simulation.technologies.battery import Battery, BatteryConfig from hopp.simulation.technologies.battery_stateless import BatteryStateless from hopp.simulation.technologies.grid import Grid from hopp.simulation.technologies.reopt import REopt @@ -149,7 +148,7 @@ def __init__(self, self.wave: Union[MHKWavePlant,None] = None self.tower: Union[TowerPlant, None] = None self.trough: Union[TroughPlant, None] = None - self.battery: Union[Battery, None] = None + self.battery: Union[Battery, BatteryStateless, None] = None self.dispatch_builder: Union[HybridDispatchBuilderSolver, None] = None self.grid: Union[Grid, None] = None @@ -190,7 +189,8 @@ def __init__(self, if 'tracking' in power_sources['battery'].keys() and not power_sources['battery']['tracking']: self.battery = BatteryStateless(self.site, power_sources['battery']) else: - self.battery = Battery(self.site, power_sources['battery']) + config = BatteryConfig.from_dict(power_sources['battery']) + self.battery = Battery(self.site, config=config) self.power_sources['battery'] = self.battery logger.info("Created HybridSystem.battery with system capacity {} MWh and rating of {} MW".format( self.battery.system_capacity_kwh/1000., self.battery.system_capacity_kw/1000.)) diff --git a/hopp/simulation/technologies/battery.py b/hopp/simulation/technologies/battery.py index 51fb27666..4629a758a 100644 --- a/hopp/simulation/technologies/battery.py +++ b/hopp/simulation/technologies/battery.py @@ -1,16 +1,20 @@ from dataclasses import dataclass, asdict -from typing import Sequence +from typing import Optional, Sequence, List import numpy as np import pandas as pd +from attrs import define, field import PySAM.BatteryStateful as BatteryModel import PySAM.BatteryTools as BatteryTools import PySAM.Singleowner as Singleowner +from hopp.simulation.base import BaseClass +from hopp.simulation.technologies.financial import FinancialModelType from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.sites.site_info import SiteInfo from hopp.utilities.log import hybrid_logger as logger +from hopp.utilities.validators import gt_zero, range_val @dataclass @@ -22,10 +26,10 @@ class BatteryOutputs: T_batt: Sequence gen: Sequence n_cycles: Sequence - dispatch_I: Sequence - dispatch_P: Sequence - dispatch_SOC: Sequence - dispatch_lifecycles_per_day: Sequence + dispatch_I: List[float] + dispatch_P: List[float] + dispatch_SOC: List[float] + dispatch_lifecycles_per_day: List[Optional[int]] """ The following outputs are simulated from the BatteryStateful model, an entry per timestep: I: current [A] @@ -61,86 +65,91 @@ def export(self): return asdict(self) -class Battery(PowerSource): - _system_model: BatteryModel.BatteryStateful - _financial_model: Singleowner.Singleowner - - module_specs = {'capacity': 400, 'surface_area': 30} # 400 [kWh] -> 30 [m^2] +@define +class BatteryConfig(BaseClass): + """ + Configuration class for `Battery`. + + Args: + tracking: must be False, otherwise BatteryStateless will be used instead + system_capacity_kwh: Battery energy capacity [kWh] + system_capacity_kw: Battery rated power capacity [kW] + minimum_SOC: Minimum state of charge [%] + maximum_SOC: Maximum state of charge [%] + initial_SOC: Initial state of charge [%] + """ + system_capacity_kwh: float = field(validator=gt_zero) + system_capacity_kw: float = field(validator=gt_zero) + tracking: bool = field(default=False) + minimum_SOC: float = field(default=10, validator=range_val(0, 100)) + maximum_SOC: float = field(default=90, validator=range_val(0, 100)) + initial_SOC: float = field(default=10, validator=range_val(0, 100)) + fin_model: Optional[FinancialModelType] = field(default=None) - def __init__(self, - site: SiteInfo, - battery_config: dict, - chemistry: str = 'lfpgraphite', - system_voltage_volts: float = 500): - """ - Battery Storage class based on PySAM's BatteryStateful Model - :param site: Power source site information (SiteInfo object) - :param battery_config: Battery configuration with the following keys: +@define +class Battery(PowerSource): + """ + Battery storage class based on PySAM's BatteryStateful Model. - #. ``tracking``: bool, must be False, otherwise BatteryStateless will be used instead - #. ``system_capacity_kwh``: float, Battery energy capacity [kWh] - #. ``system_capacity_kw``: float, Battery rated power capacity [kW] - #. ``minimum_SOC``: float, (default=10) Minimum state of charge [%] - #. ``maximum_SOC``: float, (default=90) Maximum state of charge [%] - #. ``initial_SOC``: float, (default=10) Initial state of charge [%] + Args: + site: Site information + config: Battery configuration + """ + site: SiteInfo + config: BatteryConfig + config_name: str = field(default="StandaloneBatterySingleOwner") - :param chemistry: Battery storage chemistry, options include: + outputs: BatteryOutputs = field(init=False) - #. ``LFPGraphite``: Lithium Iron Phosphate (Lithium Ion) - #. ``LMOLTO``: LMO/Lithium Titanate (Lithium Ion) - #. ``LeadAcid``: Lead Acid - #. ``NMCGraphite``: Nickel Manganese Cobalt Oxide (Lithium Ion) + # TODO: should this be made configurable by users? + module_specs = {'capacity': 400, 'surface_area': 30} # 400 [kWh] -> 30 [m^2] - :param system_voltage_volts: Battery system voltage [VDC] + def __attrs_post_init__(self): """ - for key in ('system_capacity_kwh', 'system_capacity_kw'): - if key not in battery_config.keys(): - raise ValueError - - self.config_name = "StandaloneBatterySingleOwner" - system_model = BatteryModel.default(chemistry) + """ + self._chemistry = "lfpgraphite" + self.system_model = BatteryModel.default(self._chemistry) - if 'fin_model' in battery_config.keys(): - financial_model = self.import_financial_model(battery_config['fin_model'], system_model, self.config_name) + if self.config.fin_model is not None: + self.financial_model = self.import_financial_model(self.config.fin_model, self.system_model, self.config_name) else: - financial_model = Singleowner.from_existing(system_model, self.config_name) + self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) - super().__init__("Battery", site, system_model, financial_model) + super().__init__("Battery", self.site, self.system_model, self.financial_model) - self.Outputs = BatteryOutputs(n_timesteps=site.n_timesteps, n_periods_per_day=site.n_periods_per_day) - self.system_capacity_kw: float = battery_config['system_capacity_kw'] - self.chemistry = chemistry - BatteryTools.battery_model_sizing(self._system_model, - battery_config['system_capacity_kw'], - battery_config['system_capacity_kwh'], - system_voltage_volts, + self.outputs = BatteryOutputs(n_timesteps=self.site.n_timesteps, n_periods_per_day=self.site.n_periods_per_day) + self.system_capacity_kw = self.config.system_capacity_kw + BatteryTools.battery_model_sizing(self.system_model, + self.config.system_capacity_kw, + self.config.system_capacity_kwh, + self.system_voltage_volts, module_specs=Battery.module_specs) - self._system_model.ParamsPack.h = 20 - self._system_model.ParamsPack.Cp = 900 - self._system_model.ParamsCell.resistance = 0.001 - self._system_model.ParamsCell.C_rate = battery_config['system_capacity_kw'] / battery_config['system_capacity_kwh'] + self.system_model.ParamsPack.h = 20 + self.system_model.ParamsPack.Cp = 900 + self.system_model.ParamsCell.resistance = 0.001 + self.system_model.ParamsCell.C_rate = self.config.system_capacity_kw / self.config.system_capacity_kwh # Minimum set of parameters to set to get statefulBattery to work - self._system_model.value("control_mode", 0.0) - self._system_model.value("input_current", 0.0) - self._system_model.value("dt_hr", 1.0) - self._system_model.value("minimum_SOC", battery_config['minimum_SOC'] if 'minimum_SOC' in battery_config.keys() else 10.0) - self._system_model.value("maximum_SOC", battery_config['maximum_SOC'] if 'maximum_SOC' in battery_config.keys() else 90.0) - self._system_model.value("initial_SOC", battery_config['initial_SOC'] if 'initial_SOC' in battery_config.keys() else 10.0) + self.system_model.value("control_mode", 0.0) + self.system_model.value("input_current", 0.0) + self.system_model.value("dt_hr", 1.0) + self.system_model.value("minimum_SOC", self.config.minimum_SOC) + self.system_model.value("maximum_SOC", self.config.maximum_SOC) + self.system_model.value("initial_SOC", self.config.initial_SOC) self._dispatch = None - logger.info("Initialized battery with parameters and state {}".format(self._system_model.export())) + logger.info("Initialized battery with parameters and state {}".format(self.system_model.export())) def setup_system_model(self): """Executes Stateful Battery setup""" - self._system_model.setup() + self.system_model.setup() @property def system_capacity_voltage(self) -> tuple: """Battery energy capacity [kWh] and voltage [VDC]""" - return self._system_model.ParamsPack.nominal_energy, self._system_model.ParamsPack.nominal_voltage + return self.system_model.ParamsPack.nominal_energy, self.system_model.ParamsPack.nominal_voltage @system_capacity_voltage.setter def system_capacity_voltage(self, capacity_voltage: tuple): @@ -151,7 +160,7 @@ def system_capacity_voltage(self, capacity_voltage: tuple): if size_kwh == 0: size_kwh = 1e-7 - BatteryTools.battery_model_sizing(self._system_model, + BatteryTools.battery_model_sizing(self.system_model, 0., size_kwh, voltage_volts, @@ -162,7 +171,7 @@ def system_capacity_voltage(self, capacity_voltage: tuple): @property def system_capacity_kwh(self) -> float: """Battery energy capacity [kWh]""" - return self._system_model.ParamsPack.nominal_energy + return self.system_model.ParamsPack.nominal_energy @system_capacity_kwh.setter def system_capacity_kwh(self, size_kwh: float): @@ -175,13 +184,13 @@ def system_capacity_kw(self) -> float: @system_capacity_kw.setter def system_capacity_kw(self, size_kw: float): - self._financial_model.value("system_capacity", size_kw) + self.financial_model.value("system_capacity", size_kw) self._system_capacity_kw = size_kw @property def system_voltage_volts(self) -> float: """Battery bank voltage [VDC]""" - return self._system_model.ParamsPack.nominal_voltage + return self.system_model.ParamsPack.nominal_voltage @system_voltage_volts.setter def system_voltage_volts(self, voltage_volts: float): @@ -190,7 +199,7 @@ def system_voltage_volts(self, voltage_volts: float): @property def chemistry(self) -> str: """Battery chemistry type""" - model_type = self._system_model.ParamsCell.chem + model_type = self.system_model.ParamsCell.chem if model_type == 0 or model_type == 1: return self._chemistry else: @@ -198,21 +207,35 @@ def chemistry(self) -> str: @chemistry.setter def chemistry(self, battery_chemistry: str): - BatteryTools.battery_model_change_chemistry(self._system_model, battery_chemistry) + """ + Set battery chemistry. + + Battery storage chemistry options include: + - `LFPGraphite`: Lithium Iron Phosphate (Lithium Ion) + - `LMOLTO`: LMO/Lithium Titanate (Lithium Ion) + - `LeadAcid`: Lead Acid + - `NMCGraphite`: Nickel Manganese Cobalt Oxide (Lithium Ion) + """ + BatteryTools.battery_model_change_chemistry(self.system_model, battery_chemistry) self._chemistry = battery_chemistry logger.info("Battery chemistry set to {}".format(battery_chemistry)) def setup_performance_model(self): """Executes Stateful Battery setup""" - self._system_model.setup() + self.system_model.setup() - def simulate_with_dispatch(self, n_periods: int, sim_start_time: int = None): + def simulate_with_dispatch(self, n_periods: int, sim_start_time: Optional[int] = None): """ Step through dispatch solution for battery and simulate battery - :param n_periods: Number of hours to simulate [hrs] - :param sim_start_time: Start hour of simulation horizon + Args: + n_periods: Number of hours to simulate [hrs] + sim_start_time: Start hour of simulation horizon + """ + if self.dispatch is None: + raise ValueError("No dispatch set for this battery.") + # Set stateful control value [Discharging (+) + Charging (-)] if self.value("control_mode") == 1.0: control = [pow_MW*1e3 for pow_MW in self.dispatch.power] # MW -> kW @@ -227,35 +250,37 @@ def simulate_with_dispatch(self, n_periods: int, sim_start_time: int = None): self.value(self.dispatch.control_variable, control[t]) # Only store information if passed the previous day simulations (used in clustering) - try: + if sim_start_time is not None: index_time_step = sim_start_time + t # Store information - except TypeError: - index_time_step = None # Don't store information + else: + index_time_step = None + self.simulate_power(time_step=index_time_step) # Store Dispatch model values if sim_start_time is not None: time_slice = slice(sim_start_time, sim_start_time + n_periods) - self.Outputs.dispatch_SOC[time_slice] = self.dispatch.soc[0:n_periods] - self.Outputs.dispatch_P[time_slice] = self.dispatch.power[0:n_periods] - self.Outputs.dispatch_I[time_slice] = self.dispatch.current[0:n_periods] + self.outputs.dispatch_SOC[time_slice] = self.dispatch.soc[0:n_periods] + self.outputs.dispatch_P[time_slice] = self.dispatch.power[0:n_periods] + self.outputs.dispatch_I[time_slice] = self.dispatch.current[0:n_periods] if self.dispatch.options.include_lifecycle_count: days_in_period = n_periods // (self.site.n_periods_per_day) start_day = sim_start_time // self.site.n_periods_per_day for d in range(days_in_period): - self.Outputs.dispatch_lifecycles_per_day[start_day + d] = self.dispatch.lifecycles[d] + self.outputs.dispatch_lifecycles_per_day[start_day + d] = self.dispatch.lifecycles[d] - # logger.info("Battery Outputs at start time {}".format(sim_start_time, self.Outputs)) + # logger.info("Battery Outputs at start time {}".format(sim_start_time, self.outputs)) def simulate_power(self, time_step=None): """ Runs battery simulate and stores values if time step is provided - :param time_step: (optional) if provided outputs are stored, o.w. they are not stored. + Args: + time_step: (optional) if provided outputs are stored, o.w. they are not stored. """ - if not self._system_model: + if not self.system_model: return - self._system_model.execute(0) + self.system_model.execute(0) if time_step is not None: self.update_battery_stored_values(time_step) @@ -264,14 +289,15 @@ def update_battery_stored_values(self, time_step): """ Stores Stateful battery outputs at time step provided. - :param time_step: time step where outputs will be stored. + Args: + time_step: time step where outputs will be stored. """ - for attr in self.Outputs.stateful_attributes: - if hasattr(self._system_model.StatePack, attr) or hasattr(self._system_model.StateCell, attr): - getattr(self.Outputs, attr)[time_step] = self.value(attr) + for attr in self.outputs.stateful_attributes: + if hasattr(self.system_model.StatePack, attr) or hasattr(self.system_model.StateCell, attr): + getattr(self.outputs, attr)[time_step] = self.value(attr) else: if attr == 'gen': - getattr(self.Outputs, attr)[time_step] = self.value('P') + getattr(self.outputs, attr)[time_step] = self.value('P') def validate_replacement_inputs(self, project_life): """ @@ -282,63 +308,69 @@ def validate_replacement_inputs(self, project_life): This array is of length (project_life), where year 0 is the first year of system operation. """ try: - self._financial_model.value('batt_bank_replacement') + self.financial_model.value('batt_bank_replacement') except: - self._financial_model.value('batt_bank_replacement', [0] * (project_life + 1)) + self.financial_model.value('batt_bank_replacement', [0] * (project_life + 1)) - if self._financial_model.value('batt_replacement_option') == 2: - if len(self._financial_model.value('batt_replacement_schedule_percent')) != project_life: - raise ValueError(f"Error in Battery model: `batt_replacement_schedule_percent` should be length of project_life {project_life} but is instead {len(self._financial_model.value('batt_replacement_schedule_percent'))}") - if len(self._financial_model.value('batt_bank_replacement')) != project_life + 1: - if len(self._financial_model.value('batt_bank_replacement')) == project_life: + if self.financial_model.value('batt_replacement_option') == 2: + if len(self.financial_model.value('batt_replacement_schedule_percent')) != project_life: + raise ValueError(f"Error in Battery model: `batt_replacement_schedule_percent` should be length of project_life {project_life} but is instead {len(self.financial_model.value('batt_replacement_schedule_percent'))}") + if len(self.financial_model.value('batt_bank_replacement')) != project_life + 1: + if len(self.financial_model.value('batt_bank_replacement')) == project_life: # likely an input mistake: add a zero for financial year 0 - self._financial_model.value('batt_bank_replacement', [0] + list(self._financial_model.value('batt_bank_replacement'))) + self.financial_model.value('batt_bank_replacement', [0] + list(self.financial_model.value('batt_bank_replacement'))) else: - raise ValueError(f"Error in Battery model: `batt_bank_replacement` should be length of project_life {project_life} but is instead {len(self._financial_model.value('batt_bank_replacement'))}") - - def simulate_financials(self, interconnect_kw: float, project_life: int, cap_cred_avail_storage: bool = True): + raise ValueError(f"Error in Battery model: `batt_bank_replacement` should be length of project_life {project_life} but is instead {len(self.financial_model.value('batt_bank_replacement'))}") + + def simulate_financials( + self, + interconnect_kw: float, + project_life: int, + cap_cred_avail_storage: bool = True + ): """ Sets-up and simulates financial model for the battery - :param interconnect_kw: Interconnection limit [kW] - :param project_life: Analysis period [years] - :param cap_cred_avail_storage: Base capacity credit on available storage (True), - otherwise use only dispatched generation (False) + Args: + interconnect_kw: Interconnection limit [kW] + project_life: Analysis period [years] + cap_cred_avail_storage: Base capacity credit on available storage (True), + otherwise use only dispatched generation (False) """ - if not isinstance(self._financial_model, Singleowner.Singleowner): - self._financial_model.assign(self._system_model.export(), ignore_missing_vals=True) # copy system parameter values having same name + if not isinstance(self.financial_model, Singleowner.Singleowner): + self.financial_model.assign(self.system_model.export(), ignore_missing_vals=True) # copy system parameter values having same name else: - self._financial_model.value('om_batt_nameplate', self.system_capacity_kw) - self._financial_model.value('ppa_soln_mode', 1) + self.financial_model.value('om_batt_nameplate', self.system_capacity_kw) + self.financial_model.value('ppa_soln_mode', 1) - self._financial_model.value('batt_computed_bank_capacity', self.system_capacity_kwh) + self.financial_model.value('batt_computed_bank_capacity', self.system_capacity_kwh) self.validate_replacement_inputs(project_life) if project_life > 1: - self._financial_model.value('system_use_lifetime_output', 1) + self.financial_model.value('system_use_lifetime_output', 1) else: - self._financial_model.value('system_use_lifetime_output', 0) - self._financial_model.value('analysis_period', project_life) + self.financial_model.value('system_use_lifetime_output', 0) + self.financial_model.value('analysis_period', project_life) try: - if self._financial_model.value('om_production') != 0: + if self.financial_model.value('om_production') != 0: raise ValueError("Battery's 'om_production' must be 0. For variable O&M cost based on battery discharge, " "use `om_batt_variable_cost`, which is in $/MWh.") except: # om_production not set, so ok pass - if len(self.Outputs.gen) == self.site.n_timesteps: - single_year_gen = self.Outputs.gen - self._financial_model.value('gen', list(single_year_gen) * project_life) + if len(self.outputs.gen) == self.site.n_timesteps: + single_year_gen = self.outputs.gen + self.financial_model.value('gen', list(single_year_gen) * project_life) - self._financial_model.value('system_pre_curtailment_kwac', list(single_year_gen) * project_life) - self._financial_model.value('annual_energy_pre_curtailment_ac', sum(single_year_gen)) - self._financial_model.value('batt_annual_discharge_energy', [sum(i for i in single_year_gen if i > 0)] * project_life) - self._financial_model.value('batt_annual_charge_energy', [sum(i for i in single_year_gen if i < 0)] * project_life) + self.financial_model.value('system_pre_curtailment_kwac', list(single_year_gen) * project_life) + self.financial_model.value('annual_energy_pre_curtailment_ac', sum(single_year_gen)) + self.financial_model.value('batt_annual_discharge_energy', [sum(i for i in single_year_gen if i > 0)] * project_life) + self.financial_model.value('batt_annual_charge_energy', [sum(i for i in single_year_gen if i < 0)] * project_life) # Do not calculate LCOS, so skip these inputs for now by unassigning or setting to 0 - self._financial_model.unassign("battery_total_cost_lcos") - self._financial_model.value('batt_annual_charge_from_system', (0,)) + self.financial_model.unassign("battery_total_cost_lcos") + self.financial_model.value('batt_annual_charge_from_system', (0,)) else: raise NotImplementedError @@ -346,23 +378,25 @@ def simulate_financials(self, interconnect_kw: float, project_life: int, cap_cre self.gen_max_feasible = self.calc_gen_max_feasible_kwh(interconnect_kw, cap_cred_avail_storage) self.capacity_credit_percent = self.calc_capacity_credit_percent(interconnect_kw) - self._financial_model.execute(0) + self.financial_model.execute(0) logger.info("{} simulation executed".format('battery')) - def calc_gen_max_feasible_kwh(self, interconnect_kw, use_avail_storage: bool = True) -> list: + def calc_gen_max_feasible_kwh(self, interconnect_kw, use_avail_storage: bool = True) -> List[float]: """ Calculates the maximum feasible capacity (generation profile) that could have occurred. - :param interconnect_kw: Interconnection limit [kW] - :param use_avail_storage: Base capacity credit on available storage (True), - otherwise use only dispatched generation (False) + Args: + interconnect_kw: Interconnection limit [kW] + use_avail_storage: Base capacity credit on available storage (True), + otherwise use only dispatched generation (False) - :return: maximum feasible capacity [kWh]: list of floats + Returns: + Maximum feasible capacity [kWh] """ t_step = self.site.interval / 60 # hr df = pd.DataFrame() - df['E_delivered'] = [max(0, x * t_step) for x in self.Outputs.P] # [kWh] - df['SOC_perc'] = self.Outputs.SOC # [%] + df['E_delivered'] = [max(0, x * t_step) for x in self.outputs.P] # [kWh] + df['SOC_perc'] = self.outputs.SOC # [%] df['E_stored'] = df.SOC_perc / 100 * self.system_capacity_kwh # [kWh] def max_feasible_kwh(row): @@ -381,7 +415,7 @@ def max_feasible_kwh(row): @property def generation_profile(self) -> Sequence: if self.system_capacity_kwh: - return self.Outputs.gen + return self.outputs.gen else: return [0] * self.site.n_timesteps @@ -389,13 +423,13 @@ def generation_profile(self) -> Sequence: def replacement_costs(self) -> Sequence: """Battery replacement cost [$]""" if self.system_capacity_kw: - return self._financial_model.value('cf_battery_replacement_cost') + return self.financial_model.value('cf_battery_replacement_cost') else: return [0] * self.site.n_timesteps @property def annual_energy_kwh(self) -> float: if self.system_capacity_kw > 0: - return sum(self.Outputs.gen) + return sum(self.outputs.gen) else: return 0 diff --git a/hopp/simulation/technologies/dispatch/power_storage/simple_battery_dispatch.py b/hopp/simulation/technologies/dispatch/power_storage/simple_battery_dispatch.py index b490cf242..23f96b12c 100644 --- a/hopp/simulation/technologies/dispatch/power_storage/simple_battery_dispatch.py +++ b/hopp/simulation/technologies/dispatch/power_storage/simple_battery_dispatch.py @@ -5,6 +5,7 @@ import PySAM.Singleowner as Singleowner from hopp.simulation.technologies.dispatch.power_storage.power_storage_dispatch import PowerStorageDispatch +from hopp.simulation.technologies.financial import FinancialModelType class SimpleBatteryDispatch(PowerStorageDispatch): @@ -18,7 +19,7 @@ def __init__(self, pyomo_model: pyomo.ConcreteModel, index_set: pyomo.Set, system_model: BatteryModel.BatteryStateful, - financial_model: Singleowner.Singleowner, + financial_model: FinancialModelType, block_set_name: str, dispatch_options): super().__init__(pyomo_model, diff --git a/hopp/utilities/validators.py b/hopp/utilities/validators.py index de42d833c..e0a29bb7e 100644 --- a/hopp/utilities/validators.py +++ b/hopp/utilities/validators.py @@ -5,4 +5,13 @@ def gt_zero(instance, attribute, value): """Validates that an attribute's value is greater than zero.""" if value <= 0: - raise ValueError("system_capacity_kw must be greater than zero") + raise ValueError(f"{attribute} must be greater than zero") + + +def range_val(min, max): + """Validates that an attribute's value is between two values, inclusive ([min, max]).""" + def validator(instance, attribute, value): + if value < min or value > max: + raise ValueError(f"{attribute} must be in range [{min}, {max}]") + + return validator \ No newline at end of file diff --git a/tests/hopp/test_battery.py b/tests/hopp/test_battery.py index 673e1362b..bce10e083 100644 --- a/tests/hopp/test_battery.py +++ b/tests/hopp/test_battery.py @@ -1,213 +1,76 @@ -from pathlib import Path +from copy import deepcopy import pytest -import numpy as np -import pyomo.environ as pyomo -from pyomo.environ import units as u -from pyomo.opt import TerminationCondition -from pyomo.util.check_units import assert_units_consistent - -from hopp.simulation.technologies.sites import SiteInfo, flatirons_site -from hopp.simulation.technologies.battery import Battery -from hopp.simulation.technologies.battery_stateless import BatteryStateless -from hopp.simulation.technologies.dispatch import SimpleBatteryDispatch -from hopp.simulation.technologies.dispatch.hybrid_dispatch_builder_solver import HybridDispatchBuilderSolver, HybridDispatchOptions -from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel - - -solar_resource_file = Path(__file__).absolute().parent.parent.parent / "resource_files" / "solar" / "35.2018863_-101.945027_psmv3_60_2012.csv" -wind_resource_file = Path(__file__).absolute().parent.parent.parent / "resource_files" / "wind" / "35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw" -site = SiteInfo(flatirons_site, solar_resource_file=solar_resource_file, wind_resource_file=wind_resource_file) - -default_fin_config = { - 'batt_computed_bank_capacity': 0, - 'batt_replacement_schedule_percent': [0], - 'batt_bank_replacement': [0], - 'batt_replacement_option': 0, - 'batt_meter_position': 0, - 'om_fixed': [1], - 'om_production': [2], - 'om_capacity': (0,), - 'om_batt_fixed_cost': 0, - 'om_batt_variable_cost': [0], - 'om_batt_capacity_cost': 0, - 'om_batt_replacement_cost': [0], - 'om_replacement_cost_escal': 0, - 'system_use_lifetime_output': 0, - 'inflation_rate': 2.5, - 'real_discount_rate': 6.4, - 'cp_capacity_credit_percent': [0], - 'degradation': [0], -} - -interconnect_mw = 50 -technologies_input = { - 'pv': { - 'system_capacity_kw': 50 * 1000, - }, - 'battery': { - 'system_capacity_kwh': 200 * 1000, - 'system_capacity_kw': 50 * 1000, - 'tracking': False, - 'fin_model': CustomFinancialModel(default_fin_config) - }, - 'grid': { - 'interconnect_kw': interconnect_mw * 1000 - }} - -# Manually creating objective for testing -dispatch_n_look_ahead = 48 -prices = {} -block_length = 8 -index = 0 -for i in range(int(dispatch_n_look_ahead / block_length)): - for j in range(block_length): - if i % 2 == 0: - prices[index] = 30.0 # assuming low prices - else: - prices[index] = 100.0 # assuming high prices - index += 1 - - -def create_test_objective_rule(m): - return sum((m.battery[t].time_duration * ( - (m.price[t] - m.battery[t].cost_per_discharge) * m.battery[t].discharge_power - - (m.price[t] + m.battery[t].cost_per_charge) * m.battery[t].charge_power)) - for t in m.battery.index_set()) - - -def test_batterystateless_dispatch(): - expected_objective = 28957.15 - - # Run battery stateful as system model first - technologies = technologies_input.copy() - technologies['battery']['tracking'] = True - model = pyomo.ConcreteModel(name='battery_only') - model.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) - model.price = pyomo.Param(model.forecast_horizon, - within=pyomo.Reals, - initialize=prices, - mutable=True, - units=u.USD / u.MWh) - - battery = Battery(site, technologies['battery']) - battery._dispatch = SimpleBatteryDispatch(model, - model.forecast_horizon, - battery._system_model, - battery._financial_model, - 'battery', - HybridDispatchOptions()) - - model.test_objective = pyomo.Objective( - rule=create_test_objective_rule, - sense=pyomo.maximize) - - battery.dispatch.initialize_parameters() - battery.dispatch.update_time_series_parameters(0) - battery.dispatch.update_dispatch_initial_soc(battery.dispatch.minimum_soc) # Set initial SOC to minimum - assert_units_consistent(model) - results = HybridDispatchBuilderSolver.glpk_solve_call(model) - - assert results.solver.termination_condition == TerminationCondition.optimal - assert pyomo.value(model.test_objective) == pytest.approx(expected_objective, 1e-5) - - sum_charge_power = sum(battery.dispatch.charge_power) - sum_discharge_power = sum(battery.dispatch.discharge_power) - assert sum(battery.dispatch.charge_power) == pytest.approx(sum_charge_power, 1e-2) - assert sum(battery.dispatch.discharge_power) == pytest.approx(sum_discharge_power, 1e-2) - - battery.simulate_with_dispatch(48, 0) - for i in range(24): - dispatch_power = battery.dispatch.power[i] * 1e3 - assert battery.Outputs.P[i] == pytest.approx(dispatch_power, 1e-3 * abs(dispatch_power)) - assert battery.Outputs.dispatch_lifecycles_per_day[0:2] == pytest.approx([0.75048, 1.50096], rel=1e-3) - assert battery.Outputs.n_cycles[23] == 0 - assert battery.Outputs.n_cycles[47] == 1 - - # Run battery stateless as system model to compare - technologies['battery']['tracking'] = False - model_sl = pyomo.ConcreteModel(name='battery_stateless') - model_sl.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) - model_sl.price = pyomo.Param(model_sl.forecast_horizon, - within=pyomo.Reals, - initialize=prices, - mutable=True, - units=u.USD / u.MWh) - - battery_sl = BatteryStateless(site, technologies['battery']) - battery_sl._dispatch = SimpleBatteryDispatch(model_sl, - model_sl.forecast_horizon, - battery_sl._system_model, - battery_sl._financial_model, - 'battery', - HybridDispatchOptions()) - - model_sl.test_objective = pyomo.Objective( - rule=create_test_objective_rule, - sense=pyomo.maximize) - - battery_sl.dispatch.initialize_parameters() - battery_sl.dispatch.update_time_series_parameters(0) - assert_units_consistent(model_sl) - results = HybridDispatchBuilderSolver.glpk_solve_call(model_sl) - - assert results.solver.termination_condition == TerminationCondition.optimal - assert pyomo.value(model_sl.test_objective) == pytest.approx(expected_objective, 1e-5) - - assert sum(battery_sl.dispatch.charge_power) == pytest.approx(sum_charge_power, 1e-2) - assert sum(battery_sl.dispatch.discharge_power) == pytest.approx(sum_discharge_power, 1e-2) - - battery_sl.simulate_with_dispatch(48, 0) - for i in range(24): - dispatch_power = battery_sl.dispatch.power[i] * 1e3 - assert battery_sl.Outputs.P[i] == pytest.approx(dispatch_power, 1e-3 * abs(dispatch_power)) - - battery_dispatch = np.array(battery.dispatch.power)[0:48] - battery_actual = np.array(battery.generation_profile[0:dispatch_n_look_ahead]) * 1e-3 # convert to MWh - battery_sl_dispatch = np.array(battery_sl.dispatch.power)[0:48] - battery_sl_actual = np.array(battery_sl.generation_profile)[0:48] * 1e-3 # convert to MWh - - assert sum(battery_dispatch - battery_sl_dispatch) == 0 - assert sum(abs(battery_actual - battery_dispatch)) <= 33 - assert sum(abs(battery_sl_actual - battery_sl_dispatch)) == 0 - assert sum(abs(battery_actual - battery_sl_actual)) <= 33 - assert battery_sl.Outputs.lifecycles_per_day[0:2] == pytest.approx([0.75048, 1.50096], rel=1e-3) - - -def test_batterystateless_cycle_limits(): - expected_objective = 22513 # objective is less than above due to cycling limits - - technologies = technologies_input.copy() - technologies['battery']['tracking'] = False - model_sl = pyomo.ConcreteModel(name='battery_stateless') - model_sl.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) - model_sl.price = pyomo.Param(model_sl.forecast_horizon, - within=pyomo.Reals, - initialize=prices, - mutable=True, - units=u.USD / u.MWh) - - battery_sl = BatteryStateless(site, technologies['battery']) - battery_sl._dispatch = SimpleBatteryDispatch(model_sl, - model_sl.forecast_horizon, - battery_sl._system_model, - battery_sl._financial_model, - 'battery', - HybridDispatchOptions({'max_lifecycle_per_day': 1})) - - model_sl.test_objective = pyomo.Objective( - rule=create_test_objective_rule, - sense=pyomo.maximize) - - battery_sl.dispatch.initialize_parameters() - battery_sl.dispatch.update_time_series_parameters(0) - assert_units_consistent(model_sl) - results = HybridDispatchBuilderSolver.glpk_solve_call(model_sl) - - assert results.solver.termination_condition == TerminationCondition.optimal - assert pyomo.value(model_sl.test_objective) == pytest.approx(expected_objective, 1e-3) - - battery_sl.simulate_with_dispatch(48, 0) - - assert battery_sl.Outputs.lifecycles_per_day[0:2] == pytest.approx([0.75048, 1], rel=1e-3) - +from pytest import fixture + +from hopp.simulation.technologies.battery import Battery, BatteryConfig +from tests.hopp.utils import create_default_site_info + + +batt_kw = 5e3 + + +@fixture +def site(): + return create_default_site_info() + + +def test_battery_config(subtests): + config_data = { + 'system_capacity_kwh': batt_kw * 4, + 'system_capacity_kw': batt_kw + } + + with subtests.test("with minimal params"): + config = BatteryConfig.from_dict(config_data) + + assert config.system_capacity_kw == batt_kw + assert config.system_capacity_kwh == batt_kw * 4 + assert config.tracking is False + assert config.minimum_SOC == 10. + assert config.maximum_SOC == 90. + assert config.initial_SOC == 10. + assert config.fin_model is None + + with subtests.test("with invalid capacity"): + with pytest.raises(ValueError): + data = deepcopy(config_data) + data["system_capacity_kw"] = -1. + BatteryConfig.from_dict(data) + + with pytest.raises(ValueError): + data = deepcopy(config_data) + data["system_capacity_kwh"] = -1. + BatteryConfig.from_dict(data) + + with subtests.test("with invalid SOC"): + # SOC values must be between 0-100 + with pytest.raises(ValueError): + data = deepcopy(config_data) + data["minimum_SOC"] = -1. + BatteryConfig.from_dict(data) + + with pytest.raises(ValueError): + data = deepcopy(config_data) + data["maximum_SOC"] = 120. + BatteryConfig.from_dict(data) + + with pytest.raises(ValueError): + data = deepcopy(config_data) + data["initial_SOC"] = 120. + BatteryConfig.from_dict(data) + + +def test_battery_initialization(site): + config = BatteryConfig.from_dict({ + 'system_capacity_kwh': batt_kw * 4, + 'system_capacity_kw': batt_kw + }) + battery = Battery(site, config=config) + + assert battery.financial_model is not None + assert battery.system_model is not None + assert battery.outputs is not None + assert battery.chemistry == "lfpgraphite" + assert battery.system_capacity_kw == config.system_capacity_kw + assert battery.system_capacity_kwh == config.system_capacity_kwh \ No newline at end of file diff --git a/tests/hopp/test_battery_dispatch.py b/tests/hopp/test_battery_dispatch.py new file mode 100644 index 000000000..6fb84e531 --- /dev/null +++ b/tests/hopp/test_battery_dispatch.py @@ -0,0 +1,214 @@ +from pathlib import Path + +import pytest +import numpy as np +import pyomo.environ as pyomo +from pyomo.environ import units as u +from pyomo.opt import TerminationCondition +from pyomo.util.check_units import assert_units_consistent + +from hopp.simulation.technologies.sites import SiteInfo, flatirons_site +from hopp.simulation.technologies.battery import Battery, BatteryConfig +from hopp.simulation.technologies.battery_stateless import BatteryStateless +from hopp.simulation.technologies.dispatch import SimpleBatteryDispatch +from hopp.simulation.technologies.dispatch.hybrid_dispatch_builder_solver import HybridDispatchBuilderSolver, HybridDispatchOptions +from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel + + +solar_resource_file = Path(__file__).absolute().parent.parent.parent / "resource_files" / "solar" / "35.2018863_-101.945027_psmv3_60_2012.csv" +wind_resource_file = Path(__file__).absolute().parent.parent.parent / "resource_files" / "wind" / "35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw" +site = SiteInfo(flatirons_site, solar_resource_file=solar_resource_file, wind_resource_file=wind_resource_file) + +default_fin_config = { + 'batt_computed_bank_capacity': 0, + 'batt_replacement_schedule_percent': [0], + 'batt_bank_replacement': [0], + 'batt_replacement_option': 0, + 'batt_meter_position': 0, + 'om_fixed': [1], + 'om_production': [2], + 'om_capacity': (0,), + 'om_batt_fixed_cost': 0, + 'om_batt_variable_cost': [0], + 'om_batt_capacity_cost': 0, + 'om_batt_replacement_cost': [0], + 'om_replacement_cost_escal': 0, + 'system_use_lifetime_output': 0, + 'inflation_rate': 2.5, + 'real_discount_rate': 6.4, + 'cp_capacity_credit_percent': [0], + 'degradation': [0], +} + +interconnect_mw = 50 +technologies_input = { + 'pv': { + 'system_capacity_kw': 50 * 1000, + }, + 'battery': { + 'system_capacity_kwh': 200 * 1000, + 'system_capacity_kw': 50 * 1000, + 'tracking': False, + 'fin_model': CustomFinancialModel(default_fin_config) + }, + 'grid': { + 'interconnect_kw': interconnect_mw * 1000 + }} + +# Manually creating objective for testing +dispatch_n_look_ahead = 48 +prices = {} +block_length = 8 +index = 0 +for i in range(int(dispatch_n_look_ahead / block_length)): + for j in range(block_length): + if i % 2 == 0: + prices[index] = 30.0 # assuming low prices + else: + prices[index] = 100.0 # assuming high prices + index += 1 + + +def create_test_objective_rule(m): + return sum((m.battery[t].time_duration * ( + (m.price[t] - m.battery[t].cost_per_discharge) * m.battery[t].discharge_power + - (m.price[t] + m.battery[t].cost_per_charge) * m.battery[t].charge_power)) + for t in m.battery.index_set()) + + +def test_batterystateless_dispatch(): + expected_objective = 28957.15 + + # Run battery stateful as system model first + technologies = technologies_input.copy() + technologies['battery']['tracking'] = True + model = pyomo.ConcreteModel(name='battery_only') + model.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) + model.price = pyomo.Param(model.forecast_horizon, + within=pyomo.Reals, + initialize=prices, + mutable=True, + units=u.USD / u.MWh) + + config = BatteryConfig.from_dict(technologies['battery']) + battery = Battery(site, config=config) + battery._dispatch = SimpleBatteryDispatch(model, + model.forecast_horizon, + battery.system_model, + battery.financial_model, + 'battery', + HybridDispatchOptions()) + + model.test_objective = pyomo.Objective( + rule=create_test_objective_rule, + sense=pyomo.maximize) + + battery.dispatch.initialize_parameters() + battery.dispatch.update_time_series_parameters(0) + battery.dispatch.update_dispatch_initial_soc(battery.dispatch.minimum_soc) # Set initial SOC to minimum + assert_units_consistent(model) + results = HybridDispatchBuilderSolver.glpk_solve_call(model) + + assert results.solver.termination_condition == TerminationCondition.optimal + assert pyomo.value(model.test_objective) == pytest.approx(expected_objective, 1e-5) + + sum_charge_power = sum(battery.dispatch.charge_power) + sum_discharge_power = sum(battery.dispatch.discharge_power) + assert sum(battery.dispatch.charge_power) == pytest.approx(sum_charge_power, 1e-2) + assert sum(battery.dispatch.discharge_power) == pytest.approx(sum_discharge_power, 1e-2) + + battery.simulate_with_dispatch(48, 0) + for i in range(24): + dispatch_power = battery.dispatch.power[i] * 1e3 + assert battery.outputs.P[i] == pytest.approx(dispatch_power, 1e-3 * abs(dispatch_power)) + assert battery.outputs.dispatch_lifecycles_per_day[0:2] == pytest.approx([0.75048, 1.50096], rel=1e-3) + assert battery.outputs.n_cycles[23] == 0 + assert battery.outputs.n_cycles[47] == 1 + + # Run battery stateless as system model to compare + technologies['battery']['tracking'] = False + model_sl = pyomo.ConcreteModel(name='battery_stateless') + model_sl.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) + model_sl.price = pyomo.Param(model_sl.forecast_horizon, + within=pyomo.Reals, + initialize=prices, + mutable=True, + units=u.USD / u.MWh) + + battery_sl = BatteryStateless(site, technologies['battery']) + battery_sl._dispatch = SimpleBatteryDispatch(model_sl, + model_sl.forecast_horizon, + battery_sl._system_model, + battery_sl._financial_model, + 'battery', + HybridDispatchOptions()) + + model_sl.test_objective = pyomo.Objective( + rule=create_test_objective_rule, + sense=pyomo.maximize) + + battery_sl.dispatch.initialize_parameters() + battery_sl.dispatch.update_time_series_parameters(0) + assert_units_consistent(model_sl) + results = HybridDispatchBuilderSolver.glpk_solve_call(model_sl) + + assert results.solver.termination_condition == TerminationCondition.optimal + assert pyomo.value(model_sl.test_objective) == pytest.approx(expected_objective, 1e-5) + + assert sum(battery_sl.dispatch.charge_power) == pytest.approx(sum_charge_power, 1e-2) + assert sum(battery_sl.dispatch.discharge_power) == pytest.approx(sum_discharge_power, 1e-2) + + battery_sl.simulate_with_dispatch(48, 0) + for i in range(24): + dispatch_power = battery_sl.dispatch.power[i] * 1e3 + assert battery_sl.Outputs.P[i] == pytest.approx(dispatch_power, 1e-3 * abs(dispatch_power)) + + battery_dispatch = np.array(battery.dispatch.power)[0:48] + battery_actual = np.array(battery.generation_profile[0:dispatch_n_look_ahead]) * 1e-3 # convert to MWh + battery_sl_dispatch = np.array(battery_sl.dispatch.power)[0:48] + battery_sl_actual = np.array(battery_sl.generation_profile)[0:48] * 1e-3 # convert to MWh + + assert sum(battery_dispatch - battery_sl_dispatch) == 0 + assert sum(abs(battery_actual - battery_dispatch)) <= 33 + assert sum(abs(battery_sl_actual - battery_sl_dispatch)) == 0 + assert sum(abs(battery_actual - battery_sl_actual)) <= 33 + assert battery_sl.Outputs.lifecycles_per_day[0:2] == pytest.approx([0.75048, 1.50096], rel=1e-3) + + +def test_batterystateless_cycle_limits(): + expected_objective = 22513 # objective is less than above due to cycling limits + + technologies = technologies_input.copy() + technologies['battery']['tracking'] = False + model_sl = pyomo.ConcreteModel(name='battery_stateless') + model_sl.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) + model_sl.price = pyomo.Param(model_sl.forecast_horizon, + within=pyomo.Reals, + initialize=prices, + mutable=True, + units=u.USD / u.MWh) + + battery_sl = BatteryStateless(site, technologies['battery']) + battery_sl._dispatch = SimpleBatteryDispatch(model_sl, + model_sl.forecast_horizon, + battery_sl._system_model, + battery_sl._financial_model, + 'battery', + HybridDispatchOptions({'max_lifecycle_per_day': 1})) + + model_sl.test_objective = pyomo.Objective( + rule=create_test_objective_rule, + sense=pyomo.maximize) + + battery_sl.dispatch.initialize_parameters() + battery_sl.dispatch.update_time_series_parameters(0) + assert_units_consistent(model_sl) + results = HybridDispatchBuilderSolver.glpk_solve_call(model_sl) + + assert results.solver.termination_condition == TerminationCondition.optimal + assert pyomo.value(model_sl.test_objective) == pytest.approx(expected_objective, 1e-3) + + battery_sl.simulate_with_dispatch(48, 0) + + assert battery_sl.Outputs.lifecycles_per_day[0:2] == pytest.approx([0.75048, 1], rel=1e-3) + diff --git a/tests/hopp/test_dispatch.py b/tests/hopp/test_dispatch.py index 537fd660c..46d534d0a 100644 --- a/tests/hopp/test_dispatch.py +++ b/tests/hopp/test_dispatch.py @@ -11,7 +11,7 @@ from hopp.simulation.technologies.dispatch.power_sources.csp_dispatch import CspDispatch from hopp.simulation.technologies.dispatch.power_sources.tower_dispatch import TowerDispatch from hopp.simulation.technologies.dispatch.power_sources.trough_dispatch import TroughDispatch -from hopp.simulation.technologies.battery import Battery +from hopp.simulation.technologies.battery import Battery, BatteryConfig from hopp.simulation.hybrid_simulation import HybridSimulation from hopp.simulation.technologies.dispatch.power_storage.linear_voltage_convex_battery_dispatch import ConvexLinearVoltageBatteryDispatch @@ -379,7 +379,8 @@ def test_simple_battery_dispatch(site): expected_objective = 28957.15 dispatch_n_look_ahead = 48 - battery = Battery(site, technologies['battery']) + config = BatteryConfig.from_dict(technologies['battery']) + battery = Battery(site, config=config) model = pyomo.ConcreteModel(name='battery_only') model.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) @@ -435,7 +436,7 @@ def create_test_objective_rule(m): battery.simulate_with_dispatch(48, 0) for i in range(24): dispatch_power = battery.dispatch.power[i] * 1e3 - assert battery.Outputs.P[i] == pytest.approx(dispatch_power, 1e-3 * abs(dispatch_power)) + assert battery.outputs.P[i] == pytest.approx(dispatch_power, 1e-3 * abs(dispatch_power)) def test_simple_battery_dispatch_lifecycle_count(site): @@ -444,7 +445,8 @@ def test_simple_battery_dispatch_lifecycle_count(site): dispatch_n_look_ahead = 48 - battery = Battery(site, technologies['battery']) + config = BatteryConfig.from_dict(technologies['battery']) + battery = Battery(site, config=config) model = pyomo.ConcreteModel(name='battery_only') model.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) @@ -510,7 +512,8 @@ def test_detailed_battery_dispatch(site): dispatch_n_look_ahead = 48 - battery = Battery(site, technologies['battery']) + config = BatteryConfig.from_dict(technologies['battery']) + battery = Battery(site, config=config) model = pyomo.ConcreteModel(name='detailed_battery_only') model.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) @@ -650,7 +653,7 @@ def test_hybrid_dispatch_one_cycle_heuristic(site): dispatch_options=dispatch_options) hybrid_plant.simulate(1) - assert sum(hybrid_plant.battery.Outputs.P) < 0.0 + assert sum(hybrid_plant.battery.outputs.P) < 0.0 def test_hybrid_solar_battery_dispatch(site): @@ -714,7 +717,7 @@ def test_hybrid_dispatch_financials(site): hybrid_plant.ppa_price = (0.06,) hybrid_plant.simulate(1) - assert sum(hybrid_plant.battery.Outputs.P) < 0.0 + assert sum(hybrid_plant.battery.outputs.P) < 0.0 def test_desired_schedule_dispatch(site): @@ -786,7 +789,8 @@ def test_simple_battery_dispatch_lifecycle_limit(site): dispatch_n_look_ahead = 48 - battery = Battery(site, technologies['battery']) + config = BatteryConfig.from_dict(technologies['battery']) + battery = Battery(site, config=config) model = pyomo.ConcreteModel(name='battery_only') model.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) From ed76f5793790de5e6337b0606d870d7aa20f3159 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Thu, 28 Sep 2023 15:35:53 -0700 Subject: [PATCH 17/46] Refactor BatteryStateless --- hopp/simulation/hybrid_simulation.py | 4 +- .../technologies/battery_stateless.py | 146 +++++++++--------- tests/hopp/test_battery_dispatch.py | 11 +- 3 files changed, 81 insertions(+), 80 deletions(-) diff --git a/hopp/simulation/hybrid_simulation.py b/hopp/simulation/hybrid_simulation.py index 0973c0029..2984b7b70 100644 --- a/hopp/simulation/hybrid_simulation.py +++ b/hopp/simulation/hybrid_simulation.py @@ -186,10 +186,10 @@ def __init__(self, logger.info("Created HybridSystem.trough with cycle size {} MW, a solar multiple of {}, {} hours of storage".format( self.trough.cycle_capacity_kw/1000., self.trough.solar_multiple, self.trough.tes_hours)) if 'battery' in power_sources.keys(): + config = BatteryConfig.from_dict(power_sources['battery']) if 'tracking' in power_sources['battery'].keys() and not power_sources['battery']['tracking']: - self.battery = BatteryStateless(self.site, power_sources['battery']) + self.battery = BatteryStateless(self.site, config=config) else: - config = BatteryConfig.from_dict(power_sources['battery']) self.battery = Battery(self.site, config=config) self.power_sources['battery'] = self.battery logger.info("Created HybridSystem.battery with system capacity {} MWh and rating of {} MW".format( diff --git a/hopp/simulation/technologies/battery_stateless.py b/hopp/simulation/technologies/battery_stateless.py index 245663a84..742a0d193 100644 --- a/hopp/simulation/technologies/battery_stateless.py +++ b/hopp/simulation/technologies/battery_stateless.py @@ -1,18 +1,21 @@ -from typing import Sequence +from typing import Sequence, List, Optional from dataclasses import dataclass, asdict +from attrs import define, field + from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.power_source import PowerSource +from hopp.simulation.technologies.battery import BatteryConfig from hopp.utilities.log import hybrid_logger as logger @dataclass class BatteryStatelessOutputs: - I: Sequence - P: Sequence - SOC: Sequence - lifecycles_per_day: Sequence + I: List[float] + P: List[float] + SOC: List[float] + lifecycles_per_day: List[Optional[int]] """ The following outputs are from the HOPP dispatch model, an entry per timestep: I: current [A], only applicable to battery dispatch models with current modeled @@ -33,59 +36,56 @@ def export(self): return asdict(self) +@define class BatteryStateless(PowerSource): - _financial_model: CustomFinancialModel - - def __init__(self, - site: SiteInfo, - battery_config: dict): - """ - Battery Storage class with no system model for tracking the state of the battery - The state variables are pulled directly from the BatteryDispatch pyomo model. - Therefore, this battery model is compatible only with dispatch methods that use pyomo - such as - 'simple': SimpleBatteryDispatch, - 'convex_LV': ConvexLinearVoltageBatteryDispatch} - 'non_convex_LV': NonConvexLinearVoltageBatteryDispatch, - - :param site: Power source site information (SiteInfo object) - :param battery_config: Battery configuration with the following keys: - - #. ``tracking``: bool, must be True, otherwise Battery will be used instead - #. ``system_capacity_kwh``: float, Battery energy capacity [kWh] - #. ``minimum_SOC``: float, (default=10) Minimum state of charge [%] - #. ``maximum_SOC``: float, (default=90) Maximum state of charge [%] - #. ``initial_SOC``: float, (default=50) Initial state of charge [%] - #. ``fin_model``: CustomFinancialModel, instance of financial model + """ + Battery Storage class with no system model for tracking the state of the battery + The state variables are pulled directly from the BatteryDispatch pyomo model. + Therefore, this battery model is compatible only with dispatch methods that use pyomo + such as + 'simple': SimpleBatteryDispatch, + 'convex_LV': ConvexLinearVoltageBatteryDispatch} + 'non_convex_LV': NonConvexLinearVoltageBatteryDispatch, + + Args: + site: Site information + config: Battery configuration + """ + site: SiteInfo + config: BatteryConfig - """ - for key in ('system_capacity_kwh', 'system_capacity_kw'): - if key not in battery_config.keys(): - raise ValueError + # initialized from config + minimum_SOC: float = field(init=False) + maximum_SOC: float = field(init=False) + initial_SOC: float = field(init=False) + def __attrs_post_init__(self): system_model = self - if 'fin_model' in battery_config.keys(): - financial_model = self.import_financial_model(battery_config['fin_model'], system_model, None) + if self.config.fin_model is not None: + self.financial_model = self.import_financial_model(self.config.fin_model, system_model, None) else: - raise ValueError("When using 'BatteryStateless', an instantiated CustomFinancialModel must be provided as the 'fin_model' in the battery_config") + raise ValueError("When using 'BatteryStateless', an instantiated CustomFinancialModel must be provided as the 'fin_model' in the self.config") - self._system_capacity_kw: float = battery_config['system_capacity_kw'] - self._system_capacity_kwh: float = battery_config['system_capacity_kwh'] + self._system_capacity_kw = self.config.system_capacity_kw + self._system_capacity_kwh = self.config.system_capacity_kwh # Minimum set of parameters to set to get statefulBattery to work - self.minimum_SOC = battery_config['minimum_SOC'] if 'minimum_SOC' in battery_config.keys() else 10.0 - self.maximum_SOC = battery_config['maximum_SOC'] if 'maximum_SOC' in battery_config.keys() else 90.0 - self.initial_SOC = battery_config['initial_SOC'] if 'initial_SOC' in battery_config.keys() else 10.0 + self.minimum_SOC = self.config.minimum_SOC + self.maximum_SOC = self.config.maximum_SOC + self.initial_SOC = self.config.initial_SOC self._dispatch = None - self.Outputs = BatteryStatelessOutputs(n_timesteps=site.n_timesteps, n_periods_per_day=site.n_periods_per_day) + self.outputs = BatteryStatelessOutputs( + n_timesteps=self.site.n_timesteps, + n_periods_per_day=self.site.n_periods_per_day + ) - super().__init__("Battery", site, system_model, financial_model) + super().__init__("Battery", self.site, system_model, self.financial_model) logger.info("Initialized battery with parameters") - def simulate_with_dispatch(self, n_periods: int, sim_start_time: int = None): + def simulate_with_dispatch(self, n_periods: int, sim_start_time: Optional[int] = None): """ Step through dispatch solution for battery to collect outputs @@ -95,16 +95,16 @@ def simulate_with_dispatch(self, n_periods: int, sim_start_time: int = None): # Store Dispatch model values, converting to kW from mW if sim_start_time is not None: time_slice = slice(sim_start_time, sim_start_time + n_periods) - self.Outputs.SOC[time_slice] = [i for i in self.dispatch.soc[0:n_periods]] - self.Outputs.P[time_slice] = [i * 1e3 for i in self.dispatch.power[0:n_periods]] - self.Outputs.I[time_slice] = [i * 1e3 for i in self.dispatch.current[0:n_periods]] + self.outputs.SOC[time_slice] = [i for i in self.dispatch.soc[0:n_periods]] + self.outputs.P[time_slice] = [i * 1e3 for i in self.dispatch.power[0:n_periods]] + self.outputs.I[time_slice] = [i * 1e3 for i in self.dispatch.current[0:n_periods]] if self.dispatch.options.include_lifecycle_count: days_in_period = n_periods // (self.site.n_periods_per_day) start_day = sim_start_time // self.site.n_periods_per_day for d in range(days_in_period): - self.Outputs.lifecycles_per_day[start_day + d] = self.dispatch.lifecycles[d] + self.outputs.lifecycles_per_day[start_day + d] = self.dispatch.lifecycles[d] - # logger.info("Battery Outputs at start time {}".format(sim_start_time, self.Outputs)) + # logger.info("Battery Outputs at start time {}".format(sim_start_time, self.outputs)) def simulate_power(self, time_step=None): """ @@ -134,7 +134,7 @@ def export(self): 'minimum_SOC': self.minimum_SOC, 'maximum_SOC': self.maximum_SOC, 'initial_SOC': self.initial_SOC, - 'Outputs': self.Outputs.export() + 'outputs': self.outputs.export() } return config @@ -145,27 +145,27 @@ def simulate_financials(self, interconnect_kw: float, project_life: int): :param interconnect_kw: Interconnection limit [kW] :param project_life: Analysis period [years] """ - self._financial_model.assign(self._system_model.export(), ignore_missing_vals=True) # copy system parameter values having same name + self.financial_model.assign(self._system_model.export()) # copy system parameter values having same name if project_life > 1: - self._financial_model.value('system_use_lifetime_output', 1) + self.financial_model.value('system_use_lifetime_output', 1) else: - self._financial_model.value('system_use_lifetime_output', 0) - self._financial_model.value('analysis_period', project_life) - - if len(self.Outputs.P) == self.site.n_timesteps: - single_year_gen = self.Outputs.P - self._financial_model.value('gen', list(single_year_gen) * project_life) - - self._financial_model.value('system_pre_curtailment_kwac', list(single_year_gen) * project_life) - self._financial_model.value('annual_energy_pre_curtailment_ac', sum(single_year_gen)) - self._financial_model.value('batt_annual_discharge_energy', [sum(i for i in single_year_gen if i > 0)] * project_life) - self._financial_model.value('batt_annual_charge_energy', [sum(i for i in single_year_gen if i < 0)] * project_life) - self._financial_model.value('batt_annual_charge_from_system', (0,)) + self.financial_model.value('system_use_lifetime_output', 0) + self.financial_model.value('analysis_period', project_life) + + if len(self.outputs.P) == self.site.n_timesteps: + single_year_gen = self.outputs.P + self.financial_model.value('gen', list(single_year_gen) * project_life) + + self.financial_model.value('system_pre_curtailment_kwac', list(single_year_gen) * project_life) + self.financial_model.value('annual_energy_pre_curtailment_ac', sum(single_year_gen)) + self.financial_model.value('batt_annual_discharge_energy', [sum(i for i in single_year_gen if i > 0)] * project_life) + self.financial_model.value('batt_annual_charge_energy', [sum(i for i in single_year_gen if i < 0)] * project_life) + self.financial_model.value('batt_annual_charge_from_system', (0,)) else: raise RuntimeError - self._financial_model.execute(0) + self.financial_model.execute(0) logger.info("{} simulation executed".format('battery')) @property @@ -175,7 +175,7 @@ def system_capacity_kwh(self) -> float: @system_capacity_kwh.setter def system_capacity_kwh(self, size_kwh: float): - self._financial_model.value("batt_computed_bank_capacity", size_kwh) + self.financial_model.value("batt_computed_bank_capacity", size_kwh) self.system_capacity_kwh = size_kwh @property @@ -185,7 +185,7 @@ def system_capacity_kw(self) -> float: @system_capacity_kw.setter def system_capacity_kw(self, size_kw: float): - self._financial_model.value("system_capacity", size_kw) + self.financial_model.value("system_capacity", size_kw) self.system_capacity_kw = size_kw @property @@ -199,31 +199,31 @@ def nominal_energy(self) -> float: return self._system_capacity_kwh @property - def capacity_factor(self) -> float: + def capacity_factor(self): """System capacity factor [%]""" return None @property def generation_profile(self) -> Sequence: if self.system_capacity_kwh: - return self.Outputs.P + return self.outputs.P else: return [0] * self.site.n_timesteps @property def annual_energy_kwh(self) -> float: if self.system_capacity_kw > 0: - return sum(self.Outputs.P) + return sum(self.outputs.P) else: return 0 @property def SOC(self) -> float: - if len(self.Outputs.SOC): - return self.Outputs.SOC[0] + if len(self.outputs.SOC): + return self.outputs.SOC[0] else: return self.initial_SOC @property - def lifecycles(self) -> float: - return self.Outputs.lifecycles_per_day \ No newline at end of file + def lifecycles(self) -> List[Optional[int]]: + return self.outputs.lifecycles_per_day \ No newline at end of file diff --git a/tests/hopp/test_battery_dispatch.py b/tests/hopp/test_battery_dispatch.py index 6fb84e531..8f5e1310d 100644 --- a/tests/hopp/test_battery_dispatch.py +++ b/tests/hopp/test_battery_dispatch.py @@ -135,7 +135,7 @@ def test_batterystateless_dispatch(): mutable=True, units=u.USD / u.MWh) - battery_sl = BatteryStateless(site, technologies['battery']) + battery_sl = BatteryStateless(site, config=config) battery_sl._dispatch = SimpleBatteryDispatch(model_sl, model_sl.forecast_horizon, battery_sl._system_model, @@ -161,7 +161,7 @@ def test_batterystateless_dispatch(): battery_sl.simulate_with_dispatch(48, 0) for i in range(24): dispatch_power = battery_sl.dispatch.power[i] * 1e3 - assert battery_sl.Outputs.P[i] == pytest.approx(dispatch_power, 1e-3 * abs(dispatch_power)) + assert battery_sl.outputs.P[i] == pytest.approx(dispatch_power, 1e-3 * abs(dispatch_power)) battery_dispatch = np.array(battery.dispatch.power)[0:48] battery_actual = np.array(battery.generation_profile[0:dispatch_n_look_ahead]) * 1e-3 # convert to MWh @@ -172,7 +172,7 @@ def test_batterystateless_dispatch(): assert sum(abs(battery_actual - battery_dispatch)) <= 33 assert sum(abs(battery_sl_actual - battery_sl_dispatch)) == 0 assert sum(abs(battery_actual - battery_sl_actual)) <= 33 - assert battery_sl.Outputs.lifecycles_per_day[0:2] == pytest.approx([0.75048, 1.50096], rel=1e-3) + assert battery_sl.outputs.lifecycles_per_day[0:2] == pytest.approx([0.75048, 1.50096], rel=1e-3) def test_batterystateless_cycle_limits(): @@ -188,7 +188,8 @@ def test_batterystateless_cycle_limits(): mutable=True, units=u.USD / u.MWh) - battery_sl = BatteryStateless(site, technologies['battery']) + config = BatteryConfig.from_dict(technologies['battery']) + battery_sl = BatteryStateless(site, config=config) battery_sl._dispatch = SimpleBatteryDispatch(model_sl, model_sl.forecast_horizon, battery_sl._system_model, @@ -210,5 +211,5 @@ def test_batterystateless_cycle_limits(): battery_sl.simulate_with_dispatch(48, 0) - assert battery_sl.Outputs.lifecycles_per_day[0:2] == pytest.approx([0.75048, 1], rel=1e-3) + assert battery_sl.outputs.lifecycles_per_day[0:2] == pytest.approx([0.75048, 1], rel=1e-3) From 5fe91ee486dc4d5164f5908f3bcddf31994fcef9 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Thu, 28 Sep 2023 15:53:48 -0700 Subject: [PATCH 18/46] Update Battery/BatteryStateless docs --- docs/hopp/simulation/technologies/battery.rst | 3 +++ .../technologies/battery_stateless.rst | 17 ++++++++++++++ .../simulation/technologies/technologies.rst | 1 + .../technologies/battery_stateless.py | 23 +++++++++++-------- 4 files changed, 35 insertions(+), 9 deletions(-) create mode 100644 docs/hopp/simulation/technologies/battery_stateless.rst diff --git a/docs/hopp/simulation/technologies/battery.rst b/docs/hopp/simulation/technologies/battery.rst index 6ccaf7dc3..a14b510c0 100644 --- a/docs/hopp/simulation/technologies/battery.rst +++ b/docs/hopp/simulation/technologies/battery.rst @@ -10,5 +10,8 @@ Battery Storage class based on PySAM's BatteryStateful Model .. autoclass:: hopp.simulation.technologies.battery.Battery :members: +.. autoclass:: hopp.simulation.technologies.battery.BatteryConfig + :members: + .. autoclass:: hopp.simulation.technologies.battery.BatteryOutputs :members: diff --git a/docs/hopp/simulation/technologies/battery_stateless.rst b/docs/hopp/simulation/technologies/battery_stateless.rst new file mode 100644 index 000000000..6d8e69922 --- /dev/null +++ b/docs/hopp/simulation/technologies/battery_stateless.rst @@ -0,0 +1,17 @@ +.. _BatteryStorageStateless: + + +Battery Storage (Stateless) +================================ + +Battery Storage class with no system model for tracking the state of the battery. + + +.. autoclass:: hopp.simulation.technologies.battery_stateless.BatteryStateless + :members: + +.. autoclass:: hopp.simulation.technologies.battery_stateless.BatteryStatelessConfig + :members: + +.. autoclass:: hopp.simulation.technologies.battery_stateless.BatteryStatelessOutputs + :members: diff --git a/docs/hopp/simulation/technologies/technologies.rst b/docs/hopp/simulation/technologies/technologies.rst index 2077b35be..6c8e3caa7 100644 --- a/docs/hopp/simulation/technologies/technologies.rst +++ b/docs/hopp/simulation/technologies/technologies.rst @@ -9,6 +9,7 @@ Power Sources and Storage Technologies wind_source.rst csp_source.rst battery.rst + battery_stateless.rst grid.rst power_source.rst mhk_wave_source.rst diff --git a/hopp/simulation/technologies/battery_stateless.py b/hopp/simulation/technologies/battery_stateless.py index 742a0d193..268f35fad 100644 --- a/hopp/simulation/technologies/battery_stateless.py +++ b/hopp/simulation/technologies/battery_stateless.py @@ -42,14 +42,16 @@ class BatteryStateless(PowerSource): Battery Storage class with no system model for tracking the state of the battery The state variables are pulled directly from the BatteryDispatch pyomo model. Therefore, this battery model is compatible only with dispatch methods that use pyomo - such as - 'simple': SimpleBatteryDispatch, - 'convex_LV': ConvexLinearVoltageBatteryDispatch} - 'non_convex_LV': NonConvexLinearVoltageBatteryDispatch, + such as: + + - 'simple': SimpleBatteryDispatch + - 'convex_LV': ConvexLinearVoltageBatteryDispatch + - 'non_convex_LV': NonConvexLinearVoltageBatteryDispatch Args: site: Site information config: Battery configuration + """ site: SiteInfo config: BatteryConfig @@ -89,8 +91,9 @@ def simulate_with_dispatch(self, n_periods: int, sim_start_time: Optional[int] = """ Step through dispatch solution for battery to collect outputs - :param n_periods: Number of hours to simulate [hrs] - :param sim_start_time: Start hour of simulation horizon + Args: + n_periods: Number of hours to simulate [hrs] + sim_start_time: Start hour of simulation horizon """ # Store Dispatch model values, converting to kW from mW if sim_start_time is not None: @@ -110,7 +113,8 @@ def simulate_power(self, time_step=None): """ Runs battery simulate and stores values if time step is provided - :param time_step: (optional) if provided outputs are stored, o.w. they are not stored. + Args: + time_step: (optional) if provided outputs are stored, o.w. they are not stored. """ pass @@ -142,8 +146,9 @@ def simulate_financials(self, interconnect_kw: float, project_life: int): """ Sets-up and simulates financial model for the battery - :param interconnect_kw: Interconnection limit [kW] - :param project_life: Analysis period [years] + Args: + interconnect_kw: Interconnection limit [kW] + project_life: Analysis period [years] """ self.financial_model.assign(self._system_model.export()) # copy system parameter values having same name From d46d20313cdef294fc8e455d9e2107c3dc949122 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Fri, 29 Sep 2023 12:09:32 -0700 Subject: [PATCH 19/46] Update tests --- hopp/simulation/technologies/battery.py | 1 + .../technologies/battery_stateless.py | 24 ++++-- tests/hopp/test_battery.py | 29 ++++--- tests/hopp/test_battery_stateless.py | 76 +++++++++++++++++++ 4 files changed, 114 insertions(+), 16 deletions(-) create mode 100644 tests/hopp/test_battery_stateless.py diff --git a/hopp/simulation/technologies/battery.py b/hopp/simulation/technologies/battery.py index 4629a758a..8a3b4188a 100644 --- a/hopp/simulation/technologies/battery.py +++ b/hopp/simulation/technologies/battery.py @@ -77,6 +77,7 @@ class BatteryConfig(BaseClass): minimum_SOC: Minimum state of charge [%] maximum_SOC: Maximum state of charge [%] initial_SOC: Initial state of charge [%] + fin_model: Financial model """ system_capacity_kwh: float = field(validator=gt_zero) system_capacity_kw: float = field(validator=gt_zero) diff --git a/hopp/simulation/technologies/battery_stateless.py b/hopp/simulation/technologies/battery_stateless.py index 268f35fad..4e64c02ec 100644 --- a/hopp/simulation/technologies/battery_stateless.py +++ b/hopp/simulation/technologies/battery_stateless.py @@ -36,6 +36,23 @@ def export(self): return asdict(self) +@define +class BatteryStatelessConfig(BatteryConfig): + """ + Configuration class for `BatteryStateless`. + + Args: + tracking: must be False, otherwise BatteryStateless will be used instead + system_capacity_kwh: Battery energy capacity [kWh] + system_capacity_kw: Battery rated power capacity [kW] + minimum_SOC: Minimum state of charge [%] + maximum_SOC: Maximum state of charge [%] + initial_SOC: Initial state of charge [%] + fin_model: Financial Model. Unlike `BatteryConfig`, a `CustomFinancialModel` is required + """ + fin_model: CustomFinancialModel = field(default=None) + + @define class BatteryStateless(PowerSource): """ @@ -54,7 +71,7 @@ class BatteryStateless(PowerSource): """ site: SiteInfo - config: BatteryConfig + config: BatteryStatelessConfig # initialized from config minimum_SOC: float = field(init=False) @@ -64,10 +81,7 @@ class BatteryStateless(PowerSource): def __attrs_post_init__(self): system_model = self - if self.config.fin_model is not None: - self.financial_model = self.import_financial_model(self.config.fin_model, system_model, None) - else: - raise ValueError("When using 'BatteryStateless', an instantiated CustomFinancialModel must be provided as the 'fin_model' in the self.config") + self.financial_model = self.import_financial_model(self.config.fin_model, system_model, None) self._system_capacity_kw = self.config.system_capacity_kw self._system_capacity_kwh = self.config.system_capacity_kwh diff --git a/tests/hopp/test_battery.py b/tests/hopp/test_battery.py index bce10e083..6c5a9566e 100644 --- a/tests/hopp/test_battery.py +++ b/tests/hopp/test_battery.py @@ -1,3 +1,4 @@ +from unittest.mock import MagicMock from copy import deepcopy import pytest @@ -9,6 +10,10 @@ batt_kw = 5e3 +config_data = { + 'system_capacity_kwh': batt_kw * 4, + 'system_capacity_kw': batt_kw +} @fixture def site(): @@ -16,11 +21,6 @@ def site(): def test_battery_config(subtests): - config_data = { - 'system_capacity_kwh': batt_kw * 4, - 'system_capacity_kw': batt_kw - } - with subtests.test("with minimal params"): config = BatteryConfig.from_dict(config_data) @@ -61,11 +61,8 @@ def test_battery_config(subtests): BatteryConfig.from_dict(data) -def test_battery_initialization(site): - config = BatteryConfig.from_dict({ - 'system_capacity_kwh': batt_kw * 4, - 'system_capacity_kw': batt_kw - }) +def test_battery_initialization(site, subtests): + config = BatteryConfig.from_dict(config_data) battery = Battery(site, config=config) assert battery.financial_model is not None @@ -73,4 +70,14 @@ def test_battery_initialization(site): assert battery.outputs is not None assert battery.chemistry == "lfpgraphite" assert battery.system_capacity_kw == config.system_capacity_kw - assert battery.system_capacity_kwh == config.system_capacity_kwh \ No newline at end of file + assert battery.system_capacity_kwh == config.system_capacity_kwh + + with subtests.test("with custom financial model"): + data = deepcopy(config_data) + fin_model = MagicMock() # duck type a financial model for simplicity + data["fin_model"] = fin_model + + config = BatteryConfig.from_dict(data) + battery = Battery(site, config=config) + + assert battery.financial_model == fin_model diff --git a/tests/hopp/test_battery_stateless.py b/tests/hopp/test_battery_stateless.py new file mode 100644 index 000000000..4d8eb448a --- /dev/null +++ b/tests/hopp/test_battery_stateless.py @@ -0,0 +1,76 @@ +from unittest.mock import MagicMock +from copy import deepcopy + +import pytest +from pytest import fixture + +from hopp.simulation.technologies.battery_stateless import ( + BatteryStateless, BatteryStatelessConfig +) +from tests.hopp.utils import create_default_site_info + + +batt_kw = 5e3 + +fin_model = MagicMock() # duck typing a financial model for simplicity +config_data = { + 'system_capacity_kwh': batt_kw * 4, + 'system_capacity_kw': batt_kw, + 'fin_model': fin_model +} + +@fixture +def site(): + return create_default_site_info() + + +def test_battery_config(subtests): + + with subtests.test("with minimal params"): + config = BatteryStatelessConfig.from_dict(config_data) + + assert config.system_capacity_kw == batt_kw + assert config.system_capacity_kwh == batt_kw * 4 + assert config.tracking is False + assert config.minimum_SOC == 10. + assert config.maximum_SOC == 90. + assert config.initial_SOC == 10. + assert config.fin_model == fin_model + + with subtests.test("with invalid capacity"): + with pytest.raises(ValueError): + data = deepcopy(config_data) + data["system_capacity_kw"] = -1. + BatteryStatelessConfig.from_dict(data) + + with pytest.raises(ValueError): + data = deepcopy(config_data) + data["system_capacity_kwh"] = -1. + BatteryStatelessConfig.from_dict(data) + + with subtests.test("with invalid SOC"): + # SOC values must be between 0-100 + with pytest.raises(ValueError): + data = deepcopy(config_data) + data["minimum_SOC"] = -1. + BatteryStatelessConfig.from_dict(data) + + with pytest.raises(ValueError): + data = deepcopy(config_data) + data["maximum_SOC"] = 120. + BatteryStatelessConfig.from_dict(data) + + with pytest.raises(ValueError): + data = deepcopy(config_data) + data["initial_SOC"] = 120. + BatteryStatelessConfig.from_dict(data) + + +def test_battery_initialization(site): + config = BatteryStatelessConfig.from_dict(config_data) + battery = BatteryStateless(site, config=config) + + assert battery.financial_model == fin_model + assert battery.outputs is not None + assert battery.system_capacity_kw == config.system_capacity_kw + assert battery.system_capacity_kwh == config.system_capacity_kwh \ No newline at end of file From f572b7ebf8536153122ecf072e6280d63ea327a8 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Mon, 2 Oct 2023 12:14:54 -0700 Subject: [PATCH 20/46] Refactor CSP classes --- .../simulation/technologies/csp_source.rst | 3 + .../simulation/technologies/tower_source.rst | 4 + .../simulation/technologies/trough_source.rst | 4 + hopp/simulation/hybrid_simulation.py | 10 +- hopp/simulation/technologies/csp_source.py | 256 +++++++++++------- hopp/simulation/technologies/tower_source.py | 144 +++++----- hopp/simulation/technologies/trough_source.py | 69 +++-- hopp/utilities/validators.py | 9 + tests/hopp/test_csp.py | 36 +-- tests/hopp/test_dispatch.py | 10 +- tests/hopp/test_tower_source.py | 62 +++++ tests/hopp/test_trough_source.py | 49 ++++ 12 files changed, 439 insertions(+), 217 deletions(-) create mode 100644 tests/hopp/test_tower_source.py create mode 100644 tests/hopp/test_trough_source.py diff --git a/docs/hopp/simulation/technologies/csp_source.rst b/docs/hopp/simulation/technologies/csp_source.rst index 38f6e60dc..cc166243e 100644 --- a/docs/hopp/simulation/technologies/csp_source.rst +++ b/docs/hopp/simulation/technologies/csp_source.rst @@ -13,6 +13,9 @@ Abstract base class for CSP generation technologies that contains shared methods .. autoclass:: hopp.simulation.technologies.csp_source.CspPlant :members: +.. autoclass:: hopp.simulation.technologies.csp_source.CspConfig + :members: + .. autoclass:: hopp.simulation.technologies.csp_source.CspOutputs :members: :undoc-members: diff --git a/docs/hopp/simulation/technologies/tower_source.rst b/docs/hopp/simulation/technologies/tower_source.rst index 9d9c268b6..f22d6f0d4 100644 --- a/docs/hopp/simulation/technologies/tower_source.rst +++ b/docs/hopp/simulation/technologies/tower_source.rst @@ -7,5 +7,9 @@ Molten Salt Power Tower Plant Tower concentrating solar power class based on SSC's MSPT (molten salt power tower) model .. autoclass:: hopp.simulation.technologies.tower_source.TowerPlant + :members: + :undoc-members: + +.. autoclass:: hopp.simulation.technologies.tower_source.TowerConfig :members: :undoc-members: \ No newline at end of file diff --git a/docs/hopp/simulation/technologies/trough_source.rst b/docs/hopp/simulation/technologies/trough_source.rst index 222c23846..e6578036c 100644 --- a/docs/hopp/simulation/technologies/trough_source.rst +++ b/docs/hopp/simulation/technologies/trough_source.rst @@ -9,3 +9,7 @@ Parabolic trough concentrating solar power class based on SSC's Parabolic trough .. autoclass:: hopp.simulation.technologies.trough_source.TroughPlant :members: :undoc-members: + +.. autoclass:: hopp.simulation.technologies.trough_source.TroughConfig + :members: + :undoc-members: \ No newline at end of file diff --git a/hopp/simulation/hybrid_simulation.py b/hopp/simulation/hybrid_simulation.py index 2984b7b70..9d44b159d 100644 --- a/hopp/simulation/hybrid_simulation.py +++ b/hopp/simulation/hybrid_simulation.py @@ -13,8 +13,8 @@ from hopp.simulation.technologies.pv_source import PVPlant, PVConfig from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant, DetailedPVConfig from hopp.simulation.technologies.wind_source import WindPlant -from hopp.simulation.technologies.tower_source import TowerPlant -from hopp.simulation.technologies.trough_source import TroughPlant +from hopp.simulation.technologies.tower_source import TowerConfig, TowerPlant +from hopp.simulation.technologies.trough_source import TroughConfig, TroughPlant from hopp.simulation.technologies.mhk_wave_source import MHKWavePlant from hopp.simulation.technologies.battery import Battery, BatteryConfig from hopp.simulation.technologies.battery_stateless import BatteryStateless @@ -176,12 +176,14 @@ def __init__(self, self.power_sources['wave'] = self.wave logger.info("Created HybridSystem.wave with system size {} mW".format(power_sources['wave'])) if 'tower' in power_sources.keys(): - self.tower = TowerPlant(self.site, power_sources['tower']) + config = TowerConfig.from_dict(power_sources['tower']) + self.tower = TowerPlant(self.site, config=config) self.power_sources['tower'] = self.tower logger.info("Created HybridSystem.tower with cycle size {} MW, a solar multiple of {}, {} hours of storage".format( self.tower.cycle_capacity_kw/1000., self.tower.solar_multiple, self.tower.tes_hours)) if 'trough' in power_sources.keys(): - self.trough = TroughPlant(self.site, power_sources['trough']) + config = TroughConfig.from_dict(power_sources['trough']) + self.trough = TroughPlant(self.site, config=config) self.power_sources['trough'] = self.trough logger.info("Created HybridSystem.trough with cycle size {} MW, a solar multiple of {}, {} hours of storage".format( self.trough.cycle_capacity_kw/1000., self.trough.solar_multiple, self.trough.tes_hours)) diff --git a/hopp/simulation/technologies/csp_source.py b/hopp/simulation/technologies/csp_source.py index 006679ff1..ba411fb5b 100644 --- a/hopp/simulation/technologies/csp_source.py +++ b/hopp/simulation/technologies/csp_source.py @@ -1,20 +1,22 @@ -from typing import Optional, Union, Sequence +import os +import datetime +from typing import Any, Dict, List, Optional, Union import rapidjson # NOTE: install 'python-rapidjson' NOT 'rapidjson' +from attrs import define, field import pandas as pd import numpy as np -import datetime -import os - -from hopp.utilities.log import hybrid_logger as logger - -from hopp.simulation.technologies.pySSC_daotk.ssc_wrap import ssc_wrap import PySAM.Singleowner as Singleowner +from hopp.simulation.technologies.pySSC_daotk.ssc_wrap import PysamWrap, PysscWrap, ssc_wrap +from hopp.simulation.base import BaseClass from hopp.simulation.technologies.dispatch.power_sources.csp_dispatch import CspDispatch from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.sites import SiteInfo +from hopp.simulation.technologies.financial import FinancialModelType +from hopp.utilities.validators import contains, gt_zero +from hopp.utilities.log import hybrid_logger as logger class CspOutputs: @@ -27,9 +29,10 @@ def update_from_ssc_output(self, ssc_outputs: dict, skip_hr_start: int = 0, skip """ Updates stored outputs based on SSC's output dictionary. - :param ssc_outputs: dict, SSC's output dictionary containing the previous simulation results - :param skip_hr_start: (optional) Hours to skip at beginning of simulated array - :param skip_hr_end: (optional) Hours to skip at end of simulated array + Args: + ssc_outputs: SSC's output dictionary containing the previous simulation results + skip_hr_start: (optional) Hours to skip at beginning of simulated array + skip_hr_end: (optional) Hours to skip at end of simulated array """ seconds_per_step = int(3600/ssc_outputs['time_steps_per_hour']) ntot = int(ssc_outputs['time_steps_per_hour'] * 8760) @@ -56,9 +59,10 @@ def store_dispatch_outputs(self, dispatch: CspDispatch, n_periods: int, sim_star """ Stores dispatch model outputs for post-processing analysis. - :param dispatch: CSP dispatch objective with attributes to store - :param n_periods: Number of periods to store dispatch outputs - :param sim_start_time: The first simulation hour of the dispatch horizon + Args: + dispatch: CSP dispatch objective with attributes to store + n_periods: Number of periods to store dispatch outputs + sim_start_time: The first simulation hour of the dispatch horizon """ outputs_keys = ['available_thermal_generation', 'cycle_ambient_efficiency_correction', 'condenser_losses', 'thermal_energy_storage', 'receiver_startup_inventory', 'receiver_thermal_power', @@ -75,64 +79,75 @@ def store_dispatch_outputs(self, dispatch: CspDispatch, n_periods: int, sim_star self.dispatch[key][sim_start_time: sim_start_time + n_periods] = getattr(dispatch, key)[0: n_periods] -class CspPlant(PowerSource): - _system_model: None - _financial_model: Singleowner.Singleowner - # _layout: TroughLayout - _dispatch: CspDispatch +@define +class CspConfig(BaseClass): + """ + Configuration class for CspPlant. - param_files: dict - """Files contain default SSC parameter values""" + Args: + cycle_capacity_kw: Power cycle design turbine gross output [kWe] + solar_multiple: Solar multiple [-] + tes_hours: Full load hours of thermal energy storage [hrs] + fin_model: Financial model for the specific technology + name: Configured name for this plant + """ + tech_name: str = field(validator=contains(["tcsmolten_salt", "trough_physical"])) + cycle_capacity_kw: float = field(validator=gt_zero) + solar_multiple: float = field(validator=gt_zero) + tes_hours: float = field(validator=gt_zero) + fin_model: Optional[FinancialModelType] = field(default=None) + name: str = field(default="TowerPlant") - def __init__(self, - name: str, - tech_name: str, - site, - financial_model, - csp_config: dict): - """ - Abstract class for CSP technologies. - :param name: Name used to identify technology - :param tech_name: PySSC technology name [tcsmolten_salt, trough_physical] - :param site: Power source site information (SiteInfo object) - :param financial_model: Financial model for the specific technology - :param csp_config: CSP configuration with the following keys: +@define +class CspPlant(PowerSource): + """ + Abstract class for CSP technologies. - #. ``cycle_capacity_kw``: float, Power cycle design turbine gross output [kWe] - #. ``solar_multiple``: float, Solar multiple [-] - #. ``tes_hours``: float, Full load hours of thermal energy storage [hrs] - """ + Args: + site: Power source site information (SiteInfo object) + config: CSP configuration + """ + site: SiteInfo + config: CspConfig - required_keys = ['cycle_capacity_kw', 'solar_multiple', 'tes_hours'] - if any(key not in csp_config.keys() for key in required_keys): - is_missing = [key not in csp_config.keys() for key in required_keys] - missing_keys = [missed_key for (missed_key, missing) in zip(required_keys, is_missing) if missing] - raise ValueError(type(self).__name__ + " requires the following keys: " + str(missing_keys)) + ssc: Union[PysscWrap, PysamWrap, None] = field(init=False) + solar_thermal_resource: list = field(init=False) + cycle_efficiency_tables: dict = field(init=False) + plant_state: dict = field(init=False) + outputs: CspOutputs = field(init=False) - super().__init__("TowerPlant", site, None, financial_model) + # Initialize in subclass + param_files: Dict[str, str] = field(init=False) + + def __attrs_post_init__(self): + if self.config.fin_model is None: + raise AttributeError("Financial model must be set in `config.fin_model`") + + super().__init__(self.config.name, self.site, None, self.config.fin_model) # TODO: Should 'SSC' object be a protected attr # Initialize ssc and get weather data self.ssc = ssc_wrap( wrapper='pyssc', # ['pyssc' | 'pysam'] - tech_name=tech_name, # ['tcsmolten_salt' | 'trough_physical] + tech_name=self.config.tech_name, # ['tcsmolten_salt' | 'trough_physical] financial_name=None, defaults_name=None) # ['MSPTSingleOwner' | 'PhysicalTroughSingleOwner'] NOTE: not used for pyssc self.initialize_params() self.year_weather_df = self.tmy3_to_df() # read entire weather file - self.cycle_capacity_kw: float = csp_config['cycle_capacity_kw'] - self.solar_multiple: float = csp_config['solar_multiple'] - self.tes_hours: float = csp_config['tes_hours'] + # set from config + self.cycle_capacity_kw = self.config.cycle_capacity_kw + self.solar_multiple = self.config.solar_multiple + self.tes_hours = self.config.tes_hours # Set full annual weather data once self.set_weather(self.year_weather_df) # Data for dispatch model - self.solar_thermal_resource = list - self.cycle_efficiency_tables = dict + self.solar_thermal_resource = [] + self.cycle_efficiency_tables = {} self.plant_state = self.set_initial_plant_state() self.update_ssc_inputs_from_plant_state() @@ -141,9 +156,10 @@ def __init__(self, def param_file_paths(self, relative_path: str): """ - Converts relative paths to absolute for files containing SSC default parameters + Converts relative paths to absolute for files containing SSC default parameters. - :param relative_path: Relative path to data files + Args: + relative_path: Relative path to data files """ cwd = os.path.dirname(os.path.abspath(__file__)) data_path = os.path.join(cwd, relative_path) @@ -172,7 +188,8 @@ def tmy3_to_df(self): .. note:: Be careful of leading spaces in the column names, they are hard to catch and break the parser - :returns: Weather file data (DataFrame) + Returns: + Weather file data (DataFrame) """ df = pd.read_csv(self.site.solar_resource.filename, sep=',', skiprows=2, header=0) date_cols = ['Year', 'Month', 'Day', 'Hour', 'Minute'] @@ -207,14 +224,20 @@ def set_params_from_files(self): wlim_series = np.array(pd.read_csv(self.param_files['wlim_series_path'])) self.ssc.set({'wlim_series': wlim_series}) - def set_weather(self, weather_df: pd.DataFrame, start_datetime=None, end_datetime=None): + def set_weather( + self, + weather_df: pd.DataFrame, + start_datetime: Optional[datetime.datetime] = None, + end_datetime: Optional[datetime.datetime] = None + ): """ Sets 'solar_resource_data' for pySSC simulation. If start and end (datetime) are not provided, full year is assumed. - :param weather_df: weather information (DataFrame) - :param start_datetime: start of pySSC simulation (datetime) - :param end_datetime: end of pySSC simulation (datetime) + Args: + weather_df: weather information + start_datetime: start of pySSC simulation + end_datetime: end of pySSC simulation """ weather_timedelta = weather_df.index[1] - weather_df.index[0] weather_time_steps_per_hour = int(1 / (weather_timedelta.total_seconds() / 3600)) @@ -322,7 +345,8 @@ def pad_solar_resource_data(solar_resource_data): def get_plant_state_io_map() -> dict: """Gets CSP plant state inputs (initial state) and outputs (last state) variables - :returns: Dictionary with the key-value pairs correspond to inputs and outputs, respectively""" + Returns: + Dictionary with the key-value pairs correspond to inputs and outputs, respectively""" raise NotImplementedError def set_initial_plant_state(self) -> dict: @@ -332,10 +356,11 @@ def set_initial_plant_state(self) -> dict: .. note:: This assumes the receiver and the power cycle are initially off - :returns: Dictionary containing plant state variables to be set in SSC + Returns: + Dictionary containing plant state variables to be set in SSC """ io_map = self.get_plant_state_io_map() - plant_state = {k: 0 for k in io_map.keys()} + plant_state: dict[Any, Union[int, float]] = {k: 0 for k in io_map.keys()} plant_state['rec_op_mode_initial'] = 0 # Receiver initially off plant_state['pc_op_mode_initial'] = 3 # Cycle initially off plant_state['pc_startup_time_remain_init'] = self.ssc.get('startup_time') @@ -348,14 +373,16 @@ def set_initial_plant_state(self) -> dict: def set_tes_soc(self, charge_percent: float) -> float: """Sets CSP plant TES state-of-charge - :param charge_percent: Initial fraction of available volume that is hot [%] + Args: + charge_percent: Initial fraction of available volume that is hot [%] """ raise NotImplementedError def set_cycle_state(self, is_on: bool = True): """Sets cycle initial state - :param is_on: True if cycle is initially on, False otherwise + Args: + is_on: True if cycle is initially on, False otherwise """ self.plant_state['pc_op_mode_initial'] = 1 if is_on else 3 if self.plant_state['pc_op_mode_initial'] == 1: @@ -365,16 +392,19 @@ def set_cycle_state(self, is_on: bool = True): def set_cycle_load(self, load_fraction: float): """Sets cycle initial thermal loading - :param load_fraction: Thermal loading normalized by cycle thermal rating [-] + Args: + load_fraction: Thermal loading normalized by cycle thermal rating [-] """ self.plant_state['heat_into_cycle'] = load_fraction * self.cycle_thermal_rating def get_tes_soc(self, time_hr: int) -> float: """Gets TES state-of-charge percentage at a specified time. - :param time_hr: Hour in SSC simulation to get TES state-of-charge + Args: + time_hr: Hour in SSC simulation to get TES state-of-charge - :returns: TES state-of-charge percentage [%] + Returns: + TES state-of-charge percentage [%] """ i = int(time_hr * self.ssc.get('time_steps_per_hour')) tes_charge = self.outputs.ssc_time_series['e_ch_tes'][i] @@ -383,9 +413,11 @@ def get_tes_soc(self, time_hr: int) -> float: def get_cycle_load(self, time_hr: int) -> float: """ Gets cycle thermal loading at a specified time. - :param time_hr: Hour in SSC simulation to get cycle thermal loading + Args: + time_hr: Hour in SSC simulation to get cycle thermal loading - :returns: Cycle thermal loading normalized by cycle thermal rating [-] + Returns: + Cycle thermal loading normalized by cycle thermal rating [-] """ i = int(time_hr * self.ssc.get('time_steps_per_hour')) return self.outputs.ssc_time_series['q_pb'][i] / self.cycle_thermal_rating @@ -394,8 +426,9 @@ def set_plant_state_from_ssc_outputs(self, ssc_outputs: dict, seconds_relative_t """ Sets CSP plant state variables based on SSC outputs dictionary - :param ssc_outputs: dict, SSC's output dictionary containing the previous simulation results - :param seconds_relative_to_start: Seconds relative to SSC simulation start to get CSP plant states + Args: + ssc_outputs: SSC's output dictionary containing the previous simulation results + seconds_relative_to_start: Seconds relative to SSC simulation start to get CSP plant states """ time_steps_per_hour = self.ssc.get('time_steps_per_hour') time_start = self.ssc.get('time_start') @@ -428,7 +461,7 @@ def setup_performance_model(self): self.set_cycle_efficiency_tables(ssc_outputs) self.set_solar_thermal_resource(ssc_outputs) - def run_year_for_max_thermal_gen(self): + def run_year_for_max_thermal_gen(self) -> dict: """ Call PySSC to estimate solar thermal resource for the whole year for dispatch model @@ -436,7 +469,8 @@ def run_year_for_max_thermal_gen(self): Solar field production is "forecasted" by setting TES hours to 100 and receiver start-up time and energy to very small values. - :returns: ssc_outputs: dict, SSC's output dictionary containing the previous simulation results + Returns: + ssc_outputs: SSC's output dictionary containing the previous simulation results """ self.value('is_dispatch_targets', 0) # Setting simulation times and simulate the horizon @@ -452,11 +486,12 @@ def run_year_for_max_thermal_gen(self): return ssc_outputs - def set_cycle_efficiency_tables(self, ssc_outputs): + def set_cycle_efficiency_tables(self, ssc_outputs: dict): """ Sets cycle off-design performance tables from PySSC outputs. - :params ssc_outputs: ssc_outputs: dict, SSC's output dictionary containing simulation results + Args: + ssc_outputs: SSC's output dictionary containing simulation results """ required_tables = ['cycle_eff_load_table', 'cycle_eff_Tdb_table', 'cycle_wcond_Tdb_table'] if all(table in ssc_outputs for table in required_tables): @@ -469,11 +504,12 @@ def set_cycle_efficiency_tables(self, ssc_outputs): 'efficiency and no ambient temperature dependence.') self.cycle_efficiency_tables = {} - def set_solar_thermal_resource(self, ssc_outputs): + def set_solar_thermal_resource(self, ssc_outputs: dict): """ Sets receiver estimated thermal resource using ssc outputs - :params ssc_outputs: ssc_outputs: dict, SSC's output dictionary containing simulation results + Args: + ssc_outputs: SSC's output dictionary containing simulation results """ thermal_est_name_map = {'TowerPlant': 'Q_thermal', 'TroughPlant': 'qsf_expected'} self.solar_thermal_resource = [max(heat, 0.0) for heat in ssc_outputs[thermal_est_name_map[type(self).__name__]]] @@ -484,7 +520,8 @@ def scale_params(self, params_names: list = ['tank_heaters', 'tank_height']): with respect to TES capacity. Scales TES tank height based on TES capacity assuming a constant aspect ratio (height/diameter) - :params params_names: list of parameters to be scaled + Args: + params_names: list of parameters to be scaled """ if 'tank_heaters' in params_names: cold_heater = 15 * (self.tes_capacity / 2791.3) # ssc default is 15 MWe with 2791.3 MWt-hr TES capacity @@ -498,13 +535,14 @@ def scale_params(self, params_names: list = ['tank_heaters', 'tank_height']): # ssc default is 12 m with 2791.3 MWt-hr TES capacity self.ssc.set({'h_tank': height}) - def simulate_with_dispatch(self, n_periods: int, sim_start_time: int = None, store_outputs: bool = True): + def simulate_with_dispatch(self, n_periods: int, sim_start_time: int, store_outputs: bool = True): """ Simulate CSP system using dispatch solution as targets - :param n_periods: Number of hours to simulate [hrs] - :param sim_start_time: Start hour of simulation horizon - :param store_outputs: (optional) When *True* SSC and dispatch results are stored in CspOutputs, + Args: + n_periods: Number of hours to simulate [hrs] + sim_start_time: Start hour of simulation horizon + store_outputs: When *True* SSC and dispatch results are stored in CspOutputs, o.w. they are not stored """ # Set up start and end time of simulation @@ -518,7 +556,7 @@ def simulate_with_dispatch(self, n_periods: int, sim_start_time: int = None, sto results = self.simulate_power() # Save plant state at end of simulation - simulation_time = (end_datetime - start_datetime).total_seconds() + simulation_time = int((end_datetime - start_datetime).total_seconds()) self.set_plant_state_from_ssc_outputs(results, simulation_time) # Save simulation output @@ -588,7 +626,7 @@ def get_cycle_design_mass_flow(self) -> float: m_des = q_des * 1.e6 / (cp_des * (self.htf_hot_design_temperature - self.htf_cold_design_temperature)) # kg/s return m_des - def get_cp_htf(self, tc, is_tes=True): + def get_cp_htf(self, tc, is_tes=True) -> float: """Gets fluid's specific heat at temperature .. Note:: @@ -598,10 +636,12 @@ def get_cp_htf(self, tc, is_tes=True): #. Nitrate_Salt #. Therminol_VP1 - :param tc: fluid temperature in celsius - :param is_tes: is this the TES fluid (true) or the field fluid (false) + Args: + tc: fluid temperature in celsius + is_tes: is this the TES fluid (true) or the field fluid (false) - :returns: HTF specific heat at temperature TC in [J/kg/K] + Returns: + HTF specific heat at temperature TC in [J/kg/K] """ # Troughs: TES "store_fluid", Field HTF "Fluid" fluid_name_map = {'TowerPlant': 'rec_htf', 'TroughPlant': 'store_fluid'} @@ -625,7 +665,8 @@ def get_construction_financing_cost(self) -> float: """ Calculates construction financing costs based on default SAM assumptions. - :returns: Construction financing cost [$] + Returns: + Construction financing cost [$] """ # TODO: Create a flexible function to be used by all technologies cf = ssc_wrap('pyssc', 'cb_construction_financing', None) @@ -641,7 +682,8 @@ def calculate_total_installed_cost(self) -> float: """ Calculates CSP plant's total installed costs using SAM's technology specific cost calculators - :returns: Total installed cost [$] + Returns: + Total installed cost [$] """ raise NotImplementedError @@ -655,9 +697,10 @@ def simulate_financials(self, interconnect_kw: float, project_life: int = 25, ca """ Sets-up and simulates financial model for CSP plants - :param interconnect_kw: Interconnection limit [kW] - :param project_life: (optional) Analysis period [years] - :param cap_cred_avail_storage: Base capacity credit on available storage (True), + Args: + interconnect_kw: Interconnection limit [kW] + project_life: (optional) Analysis period [years] + cap_cred_avail_storage: Base capacity credit on available storage (True), otherwise use only dispatched generation (False) """ if not isinstance(self._financial_model, Singleowner.Singleowner): @@ -690,7 +733,7 @@ def simulate_financials(self, interconnect_kw: float, project_life: int = 25, ca self._financial_model.execute(0) logger.info("{} simulation executed".format(str(type(self).__name__))) - def calc_gen_max_feasible_kwh(self, interconnect_kw, cap_cred_avail_storage: bool = True) -> list: + def calc_gen_max_feasible_kwh(self, interconnect_kw, cap_cred_avail_storage: bool = True) -> List[float]: """ Calculates the maximum feasible generation profile that could have occurred. @@ -699,11 +742,13 @@ def calc_gen_max_feasible_kwh(self, interconnect_kw, cap_cred_avail_storage: boo same timestep (off, startup, on). This makes determining how long the power block (pb) is on, and thus its precise max generating potential, currently undetermined. - :param interconnect_kw: Interconnection limit [kW] - :param cap_cred_avail_storage: bool if capacity credit should be based on available storage (true), + Args: + interconnect_kw: Interconnection limit [kW] + cap_cred_avail_storage: bool if capacity credit should be based on available storage (true), o.w. based on generation profile only (false) - :returns: list of floats, maximum feasible generation [kWh] + Returns: + list of floats, maximum feasible generation [kWh] """ SIGMA = 1e-6 @@ -722,7 +767,7 @@ def calc_gen_max_feasible_kwh(self, interconnect_kw, cap_cred_avail_storage: boo df['W_pb_net'] = [x * 1e3 for x in self.outputs.ssc_time_series["P_out_net"]] # kWe df['Q_pb'] = [x * 1e3 for x in self.outputs.ssc_time_series["q_pb"]] # kWt - def power_block_state(Q_pb_startup, W_pb_gross): + def power_block_state(Q_pb_startup: float, W_pb_gross: float) -> Optional[str]: """Simplified power block operating states. =========== ========================================== @@ -734,7 +779,12 @@ def power_block_state(Q_pb_startup, W_pb_gross): [on] (startup == 0 and gross output power > 0) -> on to off transition still applicable =========== ========================================== - :returns: 'off'|'starting'|'started'|'on': string + Args: + Q_pb_startup + W_pb_gross + + Returns: + 'off'|'starting'|'started'|'on' """ if abs(Q_pb_startup) < SIGMA and abs(W_pb_gross) < SIGMA: return 'off' @@ -747,16 +797,18 @@ def power_block_state(Q_pb_startup, W_pb_gross): else: return None - def max_feasible_kwh(row): + def max_feasible_kwh(row) -> Optional[float]: """ [off] = E_pb_possible|t_pb_on - E_startup [starting] = 0 [started] = E_pb_possible|t_pb_on [on] = E_pb_possible|t_step - :param row: Pandas Series of a row from main dataframe + Args: + row: Pandas Series of a row from main dataframe - :returns: maximum feasible energy from power block [kWhe] + Returns: + Maximum feasible energy from power block [kWhe] """ state = power_block_state(row.Q_pb_startup, row.W_pb_gross) @@ -832,10 +884,12 @@ def value(self, var_name, var_value=None): ``value(var_name, var_value)`` Sets variable value - :param var_name: PySSC or PySAM variable name - :param var_value: (optional) PySAM variable value + Args: + var_name: PySSC or PySAM variable name + var_value: (optional) PySAM variable value - :returns: Variable value (when getter) + Returns: + Variable value (when getter) """ attr_obj = None ssc_value = None diff --git a/hopp/simulation/technologies/tower_source.py b/hopp/simulation/technologies/tower_source.py index 398395e80..9284dabd0 100644 --- a/hopp/simulation/technologies/tower_source.py +++ b/hopp/simulation/technologies/tower_source.py @@ -1,17 +1,14 @@ -from typing import Optional, Union, Sequence import os import numpy as np from math import pi, log, sin +from attrs import define, field import PySAM.Singleowner as Singleowner -from hopp.simulation.technologies.dispatch.power_sources.tower_dispatch import TowerDispatch -from hopp.simulation.technologies.dispatch.power_sources.csp_dispatch import CspDispatch - - -from hopp.simulation.technologies.power_source import PowerSource +from hopp.simulation.technologies.csp_source import CspConfig from hopp.simulation.technologies.csp_source import CspPlant from hopp.simulation.technologies.sites import SiteInfo +from hopp.utilities.validators import contains # TODO: Figure out where to put this... @@ -29,31 +26,45 @@ def _decorator(func): return _decorator +@define +class TowerConfig(CspConfig): + """ + Configuration class for `TowerPlant`. + + Args: + cycle_capacity_kw: Power cycle design turbine gross output [kWe] + solar_multiple: Solar multiple [-] + tes_hours: Full load hours of thermal energy storage [hrs] + fin_model: Financial model for the specific technology + optimize_field_before_sim: If True, SolarPilot's field and tower + height optimization will before system simulation, o.w., SolarPilot will just generate field based on + inputs. + scale_input_params: If True, HOPP will run + :py:func:`hopp.simulation.technologies.tower_source.scale_params` before system simulation. + """ + tech_name: str = field(validator=contains(["tcsmolten_salt", "trough_physical"]), default="tcsmolten_salt") + optimize_field_before_sim: bool = field(default=True) + scale_input_params: bool = field(default=False) + name: str = field(default="TowerPlant") + + +@define class TowerPlant(CspPlant): - _system_model: None - _financial_model: Singleowner.Singleowner - # _layout: TowerLayout - _dispatch: TowerDispatch - - def __init__(self, - site: SiteInfo, - tower_config: dict): - """ - Tower concentrating solar power class based on SSC’s MSPT (molten salt power tower) model - - :param site: Power source site information - :param tower_config: CSP configuration with the following keys: - - #. ``cycle_capacity_kw``: float, Power cycle design turbine gross output [kWe] - #. ``solar_multiple``: float, Solar multiple [-] - #. ``tes_hours``: float, Full load hours of thermal energy storage [hrs] - #. ``optimize_field_before_sim``: (optional, default = True) bool, If True, SolarPilot's field and tower - height optimization will before system simulation, o.w., SolarPilot will just generate field based on - inputs. - #. ``scale_input_params``: (optional, default = True) bool, If True, HOPP will run - :py:func:`hybrid.tower_source.scale_params` before system simulation. - """ - financial_model = Singleowner.default('MSPTSingleOwner') + """ + Tower concentrating solar power class based on SSC's MSPT (molten salt power tower) model + + Args: + site: Power source site information + config: Tower CSP configuration + """ + site: SiteInfo + config: TowerConfig + + optimize_field_before_sim: bool = field(init=False) + + def __attrs_post_init__(self): + if self.config.fin_model is None: + self.config.fin_model = Singleowner.default('MSPTSingleOwner') # set-up param file paths self.param_files = {'tech_model_params_path': 'tech_model_defaults.json', @@ -63,20 +74,17 @@ def __init__(self, rel_path_to_param_files = os.path.join('pySSC_daotk', 'tower_data') self.param_file_paths(rel_path_to_param_files) - super().__init__("TowerPlant", 'tcsmolten_salt', site, financial_model, tower_config) + # Run code in parent post_init + super().__attrs_post_init__() - self.optimize_field_before_sim = True - if 'optimize_field_before_sim' in tower_config: - self.optimize_field_before_sim = tower_config['optimize_field_before_sim'] + self.optimize_field_before_sim = self.config.optimize_field_before_sim # (optionally) adjust ssc input parameters based on tower capacity - self.is_scale_params = False - if 'scale_input_params' in tower_config and tower_config['scale_input_params']: - self.is_scale_params = True + if self.config.scale_input_params: # Parameters to be scaled before receiver size optimization self.scale_params(params_names=['helio_size', 'helio_parasitics', 'tank_heaters', 'tank_height']) - self._dispatch: TowerDispatch = None + self._dispatch = None def set_params_from_files(self): super().set_params_from_files() @@ -91,17 +99,18 @@ def scale_params(self, params_names: list = ['tank_heaters', 'tank_height']): """ Scales SSC MSPT input parameters that don't automatically scale with plant capacity. - :param params_names: list of parameters to be scaled. The following variable scaling is supported: - - ==================== ===================================== ========================================= - Parameter Names Definition Method - ==================== ===================================== ========================================= - ``tank_heaters`` Rated heater capacity for TES tanks linearly with respect to TES capacity - ``tank_height`` Height of HTF when tank is full constant aspect ratio (height/diameter) - ``helio_size`` Heliostat height and width approximating based on a approx. receiver - ``helio_parasitics`` Heliostat parasitic power linearly with respect to heliostat area - ``tube_size`` Receiver tube diameter scaled for specified target velocity - ==================== ===================================== ========================================= + Args: + params_names: list of parameters to be scaled. The following variable scaling is supported: + + ==================== ===================================== ========================================= + Parameter Names Definition Method + ==================== ===================================== ========================================= + ``tank_heaters`` Rated heater capacity for TES tanks linearly with respect to TES capacity + ``tank_height`` Height of HTF when tank is full constant aspect ratio (height/diameter) + ``helio_size`` Heliostat height and width approximating based on a approx. receiver + ``helio_parasitics`` Heliostat parasitic power linearly with respect to heliostat area + ``tube_size`` Receiver tube diameter scaled for specified target velocity + ==================== ===================================== ========================================= """ super().scale_params(params_names) @@ -152,8 +161,9 @@ def create_field_layout_and_simulate_flux_eta_maps(self, optimize_tower_field: b """ Creates heliostats field layout and simulates receiver flux efficiency maps to be stored. - :param optimize_tower_field: If True, SolarPilot's field and tower height optimization will before system - simulation, o.w., SolarPilot will just generate field based on inputs. + Args: + optimize_tower_field: If True, SolarPilot's field and tower height optimization will before system + simulation, o.w., SolarPilot will just generate field based on inputs. """ self.ssc.set({'time_start': 0}) self.ssc.set({'time_stop': 0}) @@ -193,13 +203,14 @@ def create_field_layout_and_simulate_flux_eta_maps(self, optimize_tower_field: b self.ssc.set({'field_model_type': 3}) # use the provided flux and eta map inputs self.ssc.set({'eta_map_aod_format': False}) - if self.is_scale_params: # Scale parameters that depend on receiver size + if self.config.scale_input_params: # Scale parameters that depend on receiver size self.scale_params(params_names=['tube_size']) return field_and_flux_maps def optimize_field_and_tower(self): - """Optimizes heliostat field, tower height, and receiver geometry (diameter and height). This method uses + """ + Optimizes heliostat field, tower height, and receiver geometry (diameter and height). This method uses SolarPILOT's internal optimization methods. .. note:: @@ -273,9 +284,11 @@ def estimate_receiver_pumping_parasitic(self, nonheated_length=0.2): """ Estimates receiver pumping parasitic power for dispatch parameter - :param nonheated_length: percentage of non-heated length for the receiver + Args: + nonheated_length: percentage of non-heated length for the receiver - :returns: Receiver pumping power per thermal rating [MWe/MWt] + Returns: + Receiver pumping power per thermal rating [MWe/MWt] """ m_rec_design = self.get_receiver_design_mass_flow() # kg/s Tavg = 0.5 * (self.value('T_htf_cold_des') + self.value('T_htf_hot_des')) @@ -319,22 +332,25 @@ def get_receiver_design_mass_flow(self): """ Calculates receiver mass flow rate based on design temperature conditions. - :returns: Receiver design mass flow rate [kg/s] + Returns: + Receiver design mass flow rate [kg/s] """ cp_des = self.get_cp_htf(0.5*(self.value('T_htf_cold_des') + self.value('T_htf_hot_des'))) # J/kg/K m_des = self.field_thermal_rating*1.e6 / (cp_des * (self.value('T_htf_hot_des') - self.value('T_htf_cold_des'))) # kg/s return m_des - def get_density_htf(self, TC): + def get_density_htf(self, TC: float): """Calculates HTF density based on temperature. .. note:: Currently, only Salt (60% NaNO3, 40% KNO3) is supported by this function. - :param TC: HTF temperature [C] + Args: + TC: HTF temperature [C] - :returns: HTF density [kg/m^3] + Returns: + HTF density [kg/m^3] """ if self.value('rec_htf') != 17: print('HTF %d not recognized' % self.value('rec_htf')) @@ -342,15 +358,17 @@ def get_density_htf(self, TC): TK = TC+273.15 return -1.0e-7*(TK**3) + 2.0e-4*(TK**2) - 0.7875*TK + 2299.4 # kg/m3 - def get_visc_htf(self, TC): + def get_visc_htf(self, TC: float): """Calculates HTF viscosity based on temperature. .. note:: Currently, only Salt (60% NaNO3, 40% KNO3) is supported by this function. - :param TC: HTF temperature [C] + Args: + TC: HTF temperature [C] - :returns: HTF viscosity [kg/m-s] + Returns: + HTF viscosity [kg/m-s] """ if self.value('rec_htf') != 17: print('HTF %d not recognized' % self.value('rec_htf')) @@ -400,8 +418,6 @@ def solar_multiple(self, solar_multiple: float): """ Set the solar multiple and updates the system model. Solar multiple is defined as the the ratio of receiver design thermal power over power cycle design thermal power. - :param solar_multiple: - :return: """ self.ssc.set({'solarm': solar_multiple}) diff --git a/hopp/simulation/technologies/trough_source.py b/hopp/simulation/technologies/trough_source.py index 2ca9520ff..d7ae214ea 100644 --- a/hopp/simulation/technologies/trough_source.py +++ b/hopp/simulation/technologies/trough_source.py @@ -1,34 +1,43 @@ -from typing import Optional, Union, Sequence import os -import PySAM.Singleowner as Singleowner -from hopp.simulation.technologies.dispatch.power_sources.trough_dispatch import TroughDispatch +from attrs import define, field +import PySAM.Singleowner as Singleowner -from hopp.simulation.technologies.power_source import PowerSource -from hopp.simulation.technologies.csp_source import CspPlant +from hopp.simulation.technologies.csp_source import CspPlant, CspConfig from hopp.simulation.technologies.sites import SiteInfo +from hopp.utilities.validators import contains + + +@define +class TroughConfig(CspConfig): + """ + Configuration class for `TroughPlant`. + Args: + cycle_capacity_kw: Power cycle design turbine gross output [kWe] + solar_multiple: Solar multiple [-] + tes_hours: Full load hours of thermal energy storage [hrs] + fin_model: Financial model for the specific technology + """ + tech_name: str = field(validator=contains(["tcsmolten_salt", "trough_physical"]), default="trough_physical") + name: str = field(default="TroughPlant") + +@define class TroughPlant(CspPlant): - _system_model: None - _financial_model: Singleowner.Singleowner - # _layout: TroughLayout - _dispatch: TroughDispatch - - def __init__(self, - site: SiteInfo, - trough_config: dict): - """ - Parabolic trough concentrating solar power class based on SSC’s Parabolic trough (physical model) + """ + Parabolic trough concentrating solar power class based on SSC's Parabolic trough (physical model). - :param site: Power source site information - :param trough_config: CSP configuration with the following keys: + Args: + site: Power source site information + config: CSP configuration + """ + site: SiteInfo + config: TroughConfig - #. ``cycle_capacity_kw``: float, Power cycle design turbine gross output [kWe] - #. ``solar_multiple``: float, Solar multiple [-] - #. ``tes_hours``: float, Full load hours of thermal energy storage [hrs] - """ - financial_model = Singleowner.default('PhysicalTroughSingleOwner') + def __attrs_post_init__(self): + if self.config.fin_model is None: + self.config.fin_model = Singleowner.default('PhysicalTroughSingleOwner') # set-up param file paths # TODO: Site should have dispatch factors consistent across all models @@ -38,15 +47,17 @@ def __init__(self, rel_path_to_param_files = os.path.join('pySSC_daotk', 'trough_data') self.param_file_paths(rel_path_to_param_files) - super().__init__("TroughPlant", 'trough_physical', site, financial_model, trough_config) + # Run code in parent post_init + super().__attrs_post_init__() - self._dispatch: TroughDispatch = None + self._dispatch = None def calculate_aperture_and_land_area(self) -> tuple: """ Calculates total aperture area and total land area by executing SSC - :returns: Total aperture [m^2], Total land area [acre] + Returns: + Total aperture [m^2], Total land area [acre] """ self.ssc.set({'time_start': 0.0, 'time_stop': 0.0}) self.ssc.set({'is_dispatch_targets': 0}) @@ -94,7 +105,8 @@ def estimate_receiver_pumping_parasitic(): .. note:: This function assumes a constant value because troughs pressure drop is difficult to estimate reasonably - :returns: Receiver pumping power per thermal rating [MWe/MWt] + Returns: + Receiver pumping power per thermal rating [MWe/MWt] """ return 0.0125 # [MWe/MWt] @@ -139,8 +151,9 @@ def solar_multiple(self, solar_multiple: float): """ Set the solar multiple and updates the system model. Solar multiple is defined as the the ratio of receiver design thermal power over power cycle design thermal power. - :param solar_multiple: - :return: + + Args: + solar_multiple: Solar multiple """ self.ssc.set({'specified_solar_multiple': solar_multiple}) diff --git a/hopp/utilities/validators.py b/hopp/utilities/validators.py index e0a29bb7e..c9d646832 100644 --- a/hopp/utilities/validators.py +++ b/hopp/utilities/validators.py @@ -14,4 +14,13 @@ def validator(instance, attribute, value): if value < min or value > max: raise ValueError(f"{attribute} must be in range [{min}, {max}]") + return validator + + +def contains(items): + """Validates that an item is part of a given list.""" + def validator(instance, attribute, value): + if value not in items: + raise ValueError(f"Item {value} not found in list for {attribute}: {items}") + return validator \ No newline at end of file diff --git a/tests/hopp/test_csp.py b/tests/hopp/test_csp.py index e752899ea..390a311b0 100644 --- a/tests/hopp/test_csp.py +++ b/tests/hopp/test_csp.py @@ -1,21 +1,18 @@ import pytest -import pandas as pd import datetime -from pathlib import Path -from hopp import ROOT_DIR -from hopp.simulation.technologies.sites import SiteInfo, flatirons_site from hopp.simulation.technologies.dispatch.power_sources.csp_dispatch import CspDispatch -from hopp.simulation.technologies.tower_source import TowerPlant -from hopp.simulation.technologies.trough_source import TroughPlant +from hopp.simulation.technologies.tower_source import TowerPlant, TowerConfig +from hopp.simulation.technologies.trough_source import TroughPlant, TroughConfig from hopp.simulation.hybrid_simulation import HybridSimulation +from tests.hopp.utils import create_default_site_info + @pytest.fixture def site(): - solar_resource_file = ROOT_DIR.parent / "resource_files" / "solar" / "35.2018863_-101.945027_psmv3_60_2012.csv" - wind_resource_file = ROOT_DIR.parent / "resource_files" / "wind" / "35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw" - return SiteInfo(flatirons_site, solar_resource_file=str(solar_resource_file), wind_resource_file=str(wind_resource_file)) + return create_default_site_info() + def test_pySSC_tower_model(site): """Testing pySSC tower model using heuristic dispatch method""" @@ -25,7 +22,8 @@ def test_pySSC_tower_model(site): expected_energy = 4029953.45 - csp = TowerPlant(site, tower_config) + config = TowerConfig.from_dict(tower_config) + csp = TowerPlant(site, config=config) csp.generate_field() start_datetime, end_datetime = CspDispatch.get_start_end_datetime(293*24, 72) @@ -53,7 +51,8 @@ def test_pySSC_tower_increment_simulation(site): 'solar_multiple': 2.0, 'tes_hours': 6.0} - csp = TowerPlant(site, tower_config) + config = TowerConfig.from_dict(tower_config) + csp = TowerPlant(site, config=config) csp.generate_field() start_datetime, end_datetime = CspDispatch.get_start_end_datetime(293*24, 72) @@ -90,7 +89,8 @@ def test_pySSC_trough_model(site): expected_energy = 2116895.0210105316 - csp = TroughPlant(site, trough_config) + config = TroughConfig.from_dict(trough_config) + csp = TroughPlant(site, config=config) start_datetime, end_datetime = CspDispatch.get_start_end_datetime(293*24, 72) @@ -114,7 +114,8 @@ def test_pySSC_trough_increment_simulation(site): 'solar_multiple': 1.5, 'tes_hours': 5.0} - csp = TroughPlant(site, trough_config) + config = TroughConfig.from_dict(trough_config) + csp = TroughPlant(site, config=config) start_datetime, end_datetime = CspDispatch.get_start_end_datetime(293*24, 72) @@ -149,7 +150,8 @@ def test_value_csp_call(site): 'solar_multiple': 1.5, 'tes_hours': 5.0} - csp = TroughPlant(site, trough_config) + config = TroughConfig.from_dict(trough_config) + csp = TroughPlant(site, config=config) # Testing value call get and set - system model assert csp.value('startup_time') == csp.ssc.get('startup_time') @@ -309,7 +311,8 @@ def test_trough_annual_financial(site): expected_lcoe_nom = 19.4445 expected_ppa_nom = 19.0373 - csp = TroughPlant(site, trough_config) + config = TroughConfig.from_dict(trough_config) + csp = TroughPlant(site, config=config) csp.ssc.set({'time_start': 0.0, 'time_stop': 8760*3600}) tech_outputs = csp.ssc.execute() csp.outputs.update_from_ssc_output(tech_outputs) @@ -333,7 +336,8 @@ def test_tower_annual_financial(site): expected_lcoe_nom = 15.2010 expected_ppa_nom = 15.8016 - csp = TowerPlant(site, tower_config) + config = TowerConfig.from_dict(tower_config) + csp = TowerPlant(site, config=config) csp.generate_field() csp.ssc.set({'time_start': 0.0, 'time_stop': 8760*3600}) tech_outputs = csp.ssc.execute() diff --git a/tests/hopp/test_dispatch.py b/tests/hopp/test_dispatch.py index 46d534d0a..3019478fc 100644 --- a/tests/hopp/test_dispatch.py +++ b/tests/hopp/test_dispatch.py @@ -6,8 +6,8 @@ from hopp.simulation.technologies.wind_source import WindPlant from hopp.simulation.technologies.pv_source import PVPlant, PVConfig -from hopp.simulation.technologies.tower_source import TowerPlant -from hopp.simulation.technologies.trough_source import TroughPlant +from hopp.simulation.technologies.tower_source import TowerPlant, TowerConfig +from hopp.simulation.technologies.trough_source import TroughPlant, TroughConfig from hopp.simulation.technologies.dispatch.power_sources.csp_dispatch import CspDispatch from hopp.simulation.technologies.dispatch.power_sources.tower_dispatch import TowerDispatch from hopp.simulation.technologies.dispatch.power_sources.trough_dispatch import TroughDispatch @@ -205,7 +205,8 @@ def test_tower_dispatch(site): expected_objective = 99485.378 dispatch_n_look_ahead = 48 - tower = TowerPlant(site, technologies['tower']) + config = TowerConfig.from_dict(technologies['tower']) + tower = TowerPlant(site, config=config) tower.optimize_field_before_sim = False tower.setup_performance_model() @@ -270,7 +271,8 @@ def test_trough_dispatch(site): expected_objective = 62877.99576485791 dispatch_n_look_ahead = 48 - trough = TroughPlant(site, technologies['trough']) + config = TroughConfig.from_dict(technologies['trough']) + trough = TroughPlant(site, config=config) trough.setup_performance_model() model = pyomo.ConcreteModel(name='trough_only') diff --git a/tests/hopp/test_tower_source.py b/tests/hopp/test_tower_source.py new file mode 100644 index 000000000..78df8e2ea --- /dev/null +++ b/tests/hopp/test_tower_source.py @@ -0,0 +1,62 @@ +import pytest +from pytest import fixture + +from numpy.testing import assert_array_equal + +from hopp.simulation.technologies.tower_source import TowerConfig, TowerPlant +from tests.hopp.utils import create_default_site_info + + +config_data = { + 'cycle_capacity_kw': 15 * 1000, + 'solar_multiple': 2.0, + 'tes_hours': 6.0 +} + + +@fixture +def site(): + return create_default_site_info() + + +def test_trough_config(subtests): + with subtests.test("with default params"): + config = TowerConfig.from_dict(config_data) + + assert config.tech_name == "tcsmolten_salt" + assert config.cycle_capacity_kw == config_data["cycle_capacity_kw"] + assert config.solar_multiple == config_data["solar_multiple"] + assert config.tes_hours == config_data["tes_hours"] + assert config.fin_model is None + assert config.optimize_field_before_sim == True + assert config.scale_input_params == False + assert config.name == "TowerPlant" + + with subtests.test("with invalid tech_name"): + data = config_data.copy() + data["tech_name"] = "bad" + + with pytest.raises(ValueError): + config = TowerConfig.from_dict(data) + + +def test_trough_init(site, subtests): + config = TowerConfig.from_dict(config_data) + + with subtests.test("with default params"): + trough = TowerPlant(site, config=config) + + assert trough._financial_model is not None + param_files_keys = [ + "tech_model_params_path", + "cf_params_path", + "wlim_series_path", + "helio_positions_path" + ] + assert_array_equal(list(trough.param_files.keys()), param_files_keys) + + with subtests.test("with scale input"): + data = config_data.copy() + data["scale_input_params"] = True + + TowerPlant(site, config=config) \ No newline at end of file diff --git a/tests/hopp/test_trough_source.py b/tests/hopp/test_trough_source.py new file mode 100644 index 000000000..f7d565797 --- /dev/null +++ b/tests/hopp/test_trough_source.py @@ -0,0 +1,49 @@ +import pytest +from pytest import fixture + +from numpy.testing import assert_array_equal + +from hopp.simulation.technologies.trough_source import TroughConfig, TroughPlant +from tests.hopp.utils import create_default_site_info + + +config_data = { + 'cycle_capacity_kw': 15 * 1000, + 'solar_multiple': 2.0, + 'tes_hours': 6.0 +} + + +@fixture +def site(): + return create_default_site_info() + + +def test_trough_config(subtests): + with subtests.test("with default params"): + config = TroughConfig.from_dict(config_data) + + assert config.tech_name == "trough_physical" + assert config.cycle_capacity_kw == config_data["cycle_capacity_kw"] + assert config.solar_multiple == config_data["solar_multiple"] + assert config.tes_hours == config_data["tes_hours"] + assert config.fin_model is None + assert config.name == "TroughPlant" + + with subtests.test("with invalid tech_name"): + data = config_data.copy() + data["tech_name"] = "bad" + + with pytest.raises(ValueError): + config = TroughConfig.from_dict(data) + + +def test_trough_init(site, subtests): + config = TroughConfig.from_dict(config_data) + + with subtests.test("with default params"): + trough = TroughPlant(site, config=config) + + assert trough._financial_model is not None + param_files_keys = ["tech_model_params_path", "cf_params_path", "wlim_series_path"] + assert_array_equal(list(trough.param_files.keys()), param_files_keys) \ No newline at end of file From 27f6b90b6dadbfb5911fb1788837d614e53227bf Mon Sep 17 00:00:00 2001 From: kbrunik Date: Wed, 4 Oct 2023 11:03:00 -0700 Subject: [PATCH 21/46] add battery spec to technology model --- .../workshop/04-load-following-battery.ipynb | 40 ++++++------------- 1 file changed, 12 insertions(+), 28 deletions(-) diff --git a/examples/workshop/04-load-following-battery.ipynb b/examples/workshop/04-load-following-battery.ipynb index 59c47409a..bc971b2e7 100644 --- a/examples/workshop/04-load-following-battery.ipynb +++ b/examples/workshop/04-load-following-battery.ipynb @@ -26,7 +26,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-09-28T09.47.55.975536.log\n" + "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-10-04T10.42.25.217134.log\n" ] } ], @@ -49,7 +49,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -87,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -121,7 +121,10 @@ " },\n", " 'battery': {\n", " 'system_capacity_kwh': battery_capacity_mw * 1000,\n", - " 'system_capacity_kw': battery_capacity_mw * 4 * 1000\n", + " 'system_capacity_kw': battery_capacity_mw * 4 * 1000,\n", + " 'minimum_SOC': 20.0,\n", + " 'maximum_SOC': 100.0,\n", + " 'initial_SOC': 90.0\n", " },\n", " 'grid': {\n", " 'interconnect_kw': interconnection_size_mw * 1000\n", @@ -168,25 +171,6 @@ "hybrid_plant = HybridSimulation(technologies, site, dispatch_options)" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Adjust Battery Parameters\n", - "Modify various parameters for the battery, such as the state of charge (SOC)." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "hybrid_plant.battery._system_model.value(\"minimum_SOC\", 20.0)\n", - "hybrid_plant.battery._system_model.value(\"maximum_SOC\", 100.0)\n", - "hybrid_plant.battery._system_model.value(\"initial_SOC\", 90.0)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -197,7 +181,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -214,7 +198,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -260,7 +244,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -280,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -300,7 +284,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": {}, "outputs": [ { From 1905329896769c7a021afe4adde1681c448ffd5b Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Thu, 5 Oct 2023 12:26:17 -0700 Subject: [PATCH 22/46] Remove redundant resource files --- .../35.2018863_-101.945027_psmv3_60_2012.csv | 8763 ---------------- ...101.945027_windtoolkit_2012_60min_100m.srw | 8765 ----------------- ...-101.945027_windtoolkit_2012_60min_80m.srw | 8765 ----------------- ...945027_windtoolkit_2012_60min_80m_100m.srw | 8765 ----------------- 4 files changed, 35058 deletions(-) delete mode 100644 hopp/simulation/resource_files/solar/35.2018863_-101.945027_psmv3_60_2012.csv delete mode 100644 hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_100m.srw delete mode 100644 hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m.srw delete mode 100644 hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw diff --git a/hopp/simulation/resource_files/solar/35.2018863_-101.945027_psmv3_60_2012.csv b/hopp/simulation/resource_files/solar/35.2018863_-101.945027_psmv3_60_2012.csv deleted file mode 100644 index 7f5ebc4b7..000000000 --- a/hopp/simulation/resource_files/solar/35.2018863_-101.945027_psmv3_60_2012.csv +++ /dev/null @@ -1,8763 +0,0 @@ -Source,Location ID,City,State,Country,Latitude,Longitude,Time Zone,Elevation,Local Time Zone,Clearsky DHI Units,Clearsky DNI Units,Clearsky GHI Units,Dew Point Units,DHI Units,DNI Units,GHI Units,Solar Zenith Angle Units,Temperature Units,Pressure Units,Relative Humidity Units,Precipitable Water Units,Wind Direction Units,Wind Speed Units,Cloud Type -15,Cloud Type 0,Cloud Type 1,Cloud Type 2,Cloud Type 3,Cloud Type 4,Cloud Type 5,Cloud Type 6,Cloud Type 7,Cloud Type 8,Cloud Type 9,Cloud Type 10,Cloud Type 11,Cloud Type 12,Fill Flag 0,Fill Flag 1,Fill Flag 2,Fill Flag 3,Fill Flag 4,Fill Flag 5,Surface Albedo Units,Version -NSRDB,564277,-,-,-,35.21,-101.94,-6,1102,-6,w/m2,w/m2,w/m2,c,w/m2,w/m2,w/m2,Degree,c,mbar,%,cm,Degrees,m/s,N/A,Clear,Probably Clear,Fog,Water,Super-Cooled Water,Mixed,Opaque Ice,Cirrus,Overlapping,Overshooting,Unknown,Dust,Smoke,N/A,Missing Image,Low Irradiance,Exceeds Clearsky,Missing CLoud Properties,Rayleigh Violation,N/A,3.0.6 -Year,Month,Day,Hour,Minute,GHI,DHI,DNI,Wind Speed,Temperature,Solar Zenith Angle,Pressure,Dew Point -2012,1,1,0,30,0,0,0,1.8,-1,167,900,-6 -2012,1,1,1,30,0,0,0,1.6,-1,165.16,900,-7 -2012,1,1,2,30,0,0,0,1.6,-2,155.29,900,-7 -2012,1,1,3,30,0,0,0,1.8,-3,143.49,900,-8 -2012,1,1,4,30,0,0,0,2,-3,131.27,900,-9 -2012,1,1,5,30,0,0,0,2.1,-3,119.07000000000001,900,-9 -2012,1,1,6,30,0,0,0,2,-4,107.13,900,-9 -2012,1,1,7,30,0,0,0,2.2,-3,95.65,900,-10 -2012,1,1,8,30,51,30,226,2.7,-1,84.89,900,-10 -2012,1,1,9,30,182,84,382,2.3000000000000003,1,75.22,900,-10 -2012,1,1,10,30,309,133,452,1.4000000000000001,4,67.14,900,-11 -2012,1,1,11,30,401,173,475,0.8,6,61.31,900,-12 -2012,1,1,12,30,578,64,981,0.5,7,58.42,900,-12 -2012,1,1,13,30,566,65,971,0.7000000000000001,8,58.93,900,-12 -2012,1,1,14,30,492,63,937,1,8,62.730000000000004,900,-12 -2012,1,1,15,30,363,55,872,0.9,7,69.29,900,-11 -2012,1,1,16,30,194,42,725,0.6000000000000001,6,77.89,900,-9 -2012,1,1,17,30,25,14,309,0.7000000000000001,4,87.92,900,-8 -2012,1,1,18,30,0,0,0,1,2,98.93,900,-10 -2012,1,1,19,30,0,0,0,1.2000000000000002,1,110.57000000000001,900,-9 -2012,1,1,20,30,0,0,0,1.3,0,122.60000000000001,900,-9 -2012,1,1,21,30,0,0,0,1.3,0,134.83,900,-10 -2012,1,1,22,30,0,0,0,1.3,0,146.98,900,-10 -2012,1,1,23,30,0,0,0,1.2000000000000002,0,158.47,900,-10 -2012,1,2,0,30,0,0,0,0.9,0,166.89000000000001,900,-10 -2012,1,2,1,30,0,0,0,0.4,0,165.15,900,-10 -2012,1,2,2,30,0,0,0,0.4,0,155.33,900,-10 -2012,1,2,3,30,0,0,0,0.8,-1,143.54,900,-10 -2012,1,2,4,30,0,0,0,1,-2,131.33,910,-10 -2012,1,2,5,30,0,0,0,0.9,-3,119.13,910,-10 -2012,1,2,6,30,0,0,0,0.8,-3,107.18,910,-9 -2012,1,2,7,30,0,0,0,0.6000000000000001,-2,95.68,910,-9 -2012,1,2,8,30,67,26,462,0.6000000000000001,-1,84.91,910,-9 -2012,1,2,9,30,245,49,769,1.5,1,75.22,910,-9 -2012,1,2,10,30,406,59,892,2.6,4,67.12,910,-9 -2012,1,2,11,30,522,65,950,3.3000000000000003,7,61.26,910,-9 -2012,1,2,12,30,576,70,964,3.7,8,58.35,900,-9 -2012,1,2,13,30,568,69,963,3.9000000000000004,9,58.82,900,-9 -2012,1,2,14,30,495,65,934,3.8000000000000003,10,62.61,900,-9 -2012,1,2,15,30,368,54,881,2.9000000000000004,9,69.15,900,-9 -2012,1,2,16,30,198,41,738,1.7000000000000002,6,77.75,900,-7 -2012,1,2,17,30,27,15,326,1.5,3,87.78,900,-6 -2012,1,2,18,30,0,0,0,1.9000000000000001,1,98.79,900,-7 -2012,1,2,19,30,0,0,0,2.3000000000000003,1,110.43,900,-7 -2012,1,2,20,30,0,0,0,2.7,1,122.47,900,-8 -2012,1,2,21,30,0,0,0,3,0,134.69,900,-8 -2012,1,2,22,30,0,0,0,3.3000000000000003,0,146.85,900,-8 -2012,1,2,23,30,0,0,0,3.5,0,158.33,900,-8 -2012,1,3,0,30,0,0,0,3.8000000000000003,0,166.77,900,-9 -2012,1,3,1,30,0,0,0,4.1000000000000005,0,165.13,900,-9 -2012,1,3,2,30,0,0,0,4.4,0,155.36,900,-9 -2012,1,3,3,30,0,0,0,4.6000000000000005,-1,143.59,900,-9 -2012,1,3,4,30,0,0,0,4.9,-1,131.38,890,-9 -2012,1,3,5,30,0,0,0,5,-2,119.18,890,-9 -2012,1,3,6,30,0,0,0,5.1000000000000005,-2,107.22,890,-8 -2012,1,3,7,30,0,0,0,5.2,-1,95.72,890,-8 -2012,1,3,8,30,70,24,517,5.300000000000001,0,84.93,890,-8 -2012,1,3,9,30,251,45,809,5,3,75.22,890,-8 -2012,1,3,10,30,414,55,921,4.9,7,67.09,890,-7 -2012,1,3,11,30,529,60,973,5,11,61.21,890,-7 -2012,1,3,12,30,585,66,986,5,14,58.27,890,-6 -2012,1,3,13,30,575,66,981,4.7,16,58.71,890,-6 -2012,1,3,14,30,502,63,948,4,17,62.480000000000004,890,-6 -2012,1,3,15,30,373,52,898,2.4000000000000004,16,69.02,890,-5 -2012,1,3,16,30,202,41,750,1.3,13,77.61,890,0 -2012,1,3,17,30,29,16,321,1.1,11,87.64,890,-3 -2012,1,3,18,30,0,0,0,1,10,98.65,890,-4 -2012,1,3,19,30,0,0,0,1.1,8,110.29,890,-4 -2012,1,3,20,30,0,0,0,1.4000000000000001,6,122.33,890,-4 -2012,1,3,21,30,0,0,0,1.7000000000000002,4,134.56,890,-4 -2012,1,3,22,30,0,0,0,2.2,4,146.71,890,-4 -2012,1,3,23,30,0,0,0,3.1,4,158.19,890,-4 -2012,1,4,0,30,0,0,0,4,5,166.64000000000001,890,-3 -2012,1,4,1,30,0,0,0,4.4,4,165.1,890,-3 -2012,1,4,2,30,0,0,0,4.5,4,155.39000000000001,890,-3 -2012,1,4,3,30,0,0,0,4.5,3,143.64000000000001,890,-3 -2012,1,4,4,30,0,0,0,4.3,3,131.43,890,-3 -2012,1,4,5,30,0,0,0,4.1000000000000005,2,119.22,900,-3 -2012,1,4,6,30,0,0,0,4,2,107.26,900,-3 -2012,1,4,7,30,0,0,0,4.2,1,95.74000000000001,900,-3 -2012,1,4,8,30,66,26,455,4.5,2,84.94,900,-3 -2012,1,4,9,30,246,48,776,4.6000000000000005,4,75.21000000000001,900,-3 -2012,1,4,10,30,410,58,904,4.5,7,67.06,900,-3 -2012,1,4,11,30,528,63,963,4.1000000000000005,10,61.15,900,-4 -2012,1,4,12,30,585,67,981,3.7,11,58.17,900,-5 -2012,1,4,13,30,577,66,981,3.4000000000000004,12,58.6,900,-6 -2012,1,4,14,30,506,62,957,3,13,62.35,900,-6 -2012,1,4,15,30,378,54,897,2,12,68.87,900,-5 -2012,1,4,16,30,207,42,763,1.2000000000000002,9,77.47,900,-2 -2012,1,4,17,30,32,16,369,1.1,7,87.5,900,-3 -2012,1,4,18,30,0,0,0,1.2000000000000002,6,98.5,900,-5 -2012,1,4,19,30,0,0,0,1.4000000000000001,4,110.15,900,-5 -2012,1,4,20,30,0,0,0,1.5,3,122.19,900,-5 -2012,1,4,21,30,0,0,0,1.6,2,134.41,900,-5 -2012,1,4,22,30,0,0,0,1.8,1,146.56,900,-6 -2012,1,4,23,30,0,0,0,2,1,158.04,900,-6 -2012,1,5,0,30,0,0,0,2.2,0,166.5,900,-6 -2012,1,5,1,30,0,0,0,2.4000000000000004,0,165.06,890,-6 -2012,1,5,2,30,0,0,0,2.6,0,155.42000000000002,890,-6 -2012,1,5,3,30,0,0,0,2.7,0,143.68,890,-6 -2012,1,5,4,30,0,0,0,2.7,0,131.47,890,-6 -2012,1,5,5,30,0,0,0,2.5,0,119.26,890,-6 -2012,1,5,6,30,0,0,0,2.3000000000000003,-1,107.29,890,-7 -2012,1,5,7,30,0,0,0,2.3000000000000003,0,95.77,890,-8 -2012,1,5,8,30,71,23,536,3,2,84.95,890,-8 -2012,1,5,9,30,253,43,823,3.6,6,75.2,890,-8 -2012,1,5,10,30,417,52,934,3.4000000000000004,10,67.02,890,-7 -2012,1,5,11,30,534,58,985,4.1000000000000005,13,61.08,890,-6 -2012,1,5,12,30,592,62,1001,4.9,16,58.08,890,-7 -2012,1,5,13,30,584,62,999,5.2,17,58.47,890,-8 -2012,1,5,14,30,513,59,973,5,17,62.21,890,-9 -2012,1,5,15,30,383,53,911,3.8000000000000003,15,68.73,890,-9 -2012,1,5,16,30,212,41,776,2.5,11,77.31,890,-5 -2012,1,5,17,30,34,16,385,2.4000000000000004,8,87.35000000000001,890,-5 -2012,1,5,18,30,0,0,0,2.8000000000000003,6,98.35000000000001,890,-6 -2012,1,5,19,30,0,0,0,3.4000000000000004,5,110,890,-6 -2012,1,5,20,30,0,0,0,4,5,122.04,880,-6 -2012,1,5,21,30,0,0,0,4.6000000000000005,4,134.27,880,-6 -2012,1,5,22,30,0,0,0,4.800000000000001,4,146.42000000000002,880,-7 -2012,1,5,23,30,0,0,0,4.800000000000001,3,157.89000000000001,880,-7 -2012,1,6,0,30,0,0,0,4.6000000000000005,2,166.36,880,-7 -2012,1,6,1,30,0,0,0,4.4,1,165.02,880,-7 -2012,1,6,2,30,0,0,0,4.1000000000000005,0,155.43,880,-7 -2012,1,6,3,30,0,0,0,4,0,143.71,880,-7 -2012,1,6,4,30,0,0,0,4,0,131.51,880,-7 -2012,1,6,5,30,0,0,0,4.2,0,119.3,880,-6 -2012,1,6,6,30,0,0,0,4.4,0,107.32000000000001,880,-6 -2012,1,6,7,30,0,0,0,4.5,0,95.78,880,-6 -2012,1,6,8,30,66,26,456,4.6000000000000005,3,84.95,880,-5 -2012,1,6,9,30,243,49,758,4.800000000000001,7,75.18,880,-5 -2012,1,6,10,30,402,61,873,5.300000000000001,10,66.98,880,-5 -2012,1,6,11,30,516,67,927,6,13,61.01,880,-4 -2012,1,6,12,30,573,68,951,6.6000000000000005,14,57.97,880,-3 -2012,1,6,13,30,566,68,948,7.1000000000000005,15,58.34,880,-3 -2012,1,6,14,30,495,65,919,7.300000000000001,15,62.06,880,-3 -2012,1,6,15,30,370,57,857,6.9,14,68.57000000000001,880,-3 -2012,1,6,16,30,203,44,712,5.800000000000001,11,77.16,880,-4 -2012,1,6,17,30,33,17,310,4.6000000000000005,8,87.19,890,-4 -2012,1,6,18,30,0,0,0,4.1000000000000005,6,98.2,890,-4 -2012,1,6,19,30,0,0,0,3.9000000000000004,4,109.85000000000001,890,-5 -2012,1,6,20,30,0,0,0,3.6,3,121.9,890,-5 -2012,1,6,21,30,0,0,0,3.2,1,134.13,890,-5 -2012,1,6,22,30,0,0,0,2.8000000000000003,0,146.27,890,-5 -2012,1,6,23,30,0,0,0,2.6,0,157.74,890,-6 -2012,1,7,0,30,0,0,0,2.6,0,166.22,890,-6 -2012,1,7,1,30,0,0,0,2.6,0,164.97,890,-6 -2012,1,7,2,30,0,0,0,2.4000000000000004,-1,155.44,890,-6 -2012,1,7,3,30,0,0,0,2.1,-1,143.74,890,-5 -2012,1,7,4,30,0,0,0,1.8,-2,131.54,890,-5 -2012,1,7,5,30,0,0,0,1.6,-3,119.33,890,-5 -2012,1,7,6,30,0,0,0,1.3,-3,107.34,890,-5 -2012,1,7,7,30,0,0,0,1.1,-2,95.79,890,-5 -2012,1,7,8,30,67,24,490,1.1,0,84.94,890,-5 -2012,1,7,9,30,247,45,790,2.1,2,75.15,890,-5 -2012,1,7,10,30,409,55,903,3,5,66.93,890,-6 -2012,1,7,11,30,524,60,955,3.1,7,60.92,890,-7 -2012,1,7,12,30,580,66,966,3.3000000000000003,9,57.86,890,-7 -2012,1,7,13,30,572,68,956,3.5,10,58.21,890,-7 -2012,1,7,14,30,500,66,921,3.7,11,61.910000000000004,890,-7 -2012,1,7,15,30,373,60,848,3.3000000000000003,10,68.41,880,-7 -2012,1,7,16,30,205,48,699,2.1,7,77,880,-6 -2012,1,7,17,30,34,19,306,1.5,4,87.03,890,-4 -2012,1,7,18,30,0,0,0,1.9000000000000001,3,98.05,890,-5 -2012,1,7,19,30,0,0,0,2.4000000000000004,2,109.7,890,-6 -2012,1,7,20,30,0,0,0,2.7,1,121.75,890,-6 -2012,1,7,21,30,0,0,0,2.7,1,133.98,890,-6 -2012,1,7,22,30,0,0,0,2.5,0,146.12,890,-6 -2012,1,7,23,30,0,0,0,2,0,157.58,890,-6 -2012,1,8,0,30,0,0,0,1.7000000000000002,0,166.06,890,-6 -2012,1,8,1,30,0,0,0,1.3,-1,164.9,890,-6 -2012,1,8,2,30,0,0,0,1.1,-2,155.44,890,-6 -2012,1,8,3,30,0,0,0,1,-2,143.76,890,-6 -2012,1,8,4,30,0,0,0,1.3,-3,131.57,890,-6 -2012,1,8,5,30,0,0,0,1.8,-3,119.35000000000001,890,-6 -2012,1,8,6,30,0,0,0,2.4000000000000004,-3,107.36,890,-5 -2012,1,8,7,30,0,0,0,3.2,-3,95.8,890,-5 -2012,1,8,8,30,47,31,173,3.6,-1,84.93,890,-5 -2012,1,8,9,30,137,104,127,3.7,0,75.12,890,-5 -2012,1,8,10,30,392,76,803,3.9000000000000004,2,66.87,890,-5 -2012,1,8,11,30,507,86,863,3.8000000000000003,5,60.83,890,-5 -2012,1,8,12,30,562,96,874,3.6,6,57.74,890,-6 -2012,1,8,13,30,556,96,869,3.6,7,58.06,890,-6 -2012,1,8,14,30,487,90,839,3.8000000000000003,7,61.75,890,-6 -2012,1,8,15,30,366,74,787,3.9000000000000004,6,68.25,890,-6 -2012,1,8,16,30,201,55,642,3.2,4,76.84,890,-6 -2012,1,8,17,30,34,20,259,2.8000000000000003,2,86.87,890,-6 -2012,1,8,18,30,0,0,0,3.3000000000000003,0,97.89,890,-6 -2012,1,8,19,30,0,0,0,3.4000000000000004,0,109.55,890,-7 -2012,1,8,20,30,0,0,0,3.3000000000000003,0,121.60000000000001,890,-7 -2012,1,8,21,30,0,0,0,3,-1,133.83,890,-7 -2012,1,8,22,30,0,0,0,2.5,-2,145.97,890,-7 -2012,1,8,23,30,0,0,0,2,-3,157.42000000000002,890,-7 -2012,1,9,0,30,0,0,0,1.9000000000000001,-3,165.9,890,-7 -2012,1,9,1,30,0,0,0,2.2,-4,164.83,890,-7 -2012,1,9,2,30,0,0,0,2.5,-4,155.44,890,-7 -2012,1,9,3,30,0,0,0,2.9000000000000004,-4,143.78,890,-6 -2012,1,9,4,30,0,0,0,2.8000000000000003,-4,131.59,890,-6 -2012,1,9,5,30,0,0,0,2.1,-4,119.37,890,-6 -2012,1,9,6,30,0,0,0,1.3,-4,107.37,890,-6 -2012,1,9,7,30,0,0,0,1.3,-3,95.8,890,-5 -2012,1,9,8,30,60,31,331,2,-1,84.91,890,-5 -2012,1,9,9,30,234,62,665,3,1,75.08,890,-6 -2012,1,9,10,30,332,120,538,4.1000000000000005,3,66.8,890,-6 -2012,1,9,11,30,515,81,888,3.8000000000000003,5,60.74,890,-6 -2012,1,9,12,30,570,90,897,2.6,6,57.61,890,-5 -2012,1,9,13,30,563,92,885,2.3000000000000003,7,57.910000000000004,890,-5 -2012,1,9,14,30,495,86,860,2.8000000000000003,8,61.58,890,-5 -2012,1,9,15,30,373,73,802,3.1,7,68.08,890,-5 -2012,1,9,16,30,208,54,669,2.2,5,76.67,890,-6 -2012,1,9,17,30,38,21,302,1.4000000000000001,2,86.71000000000001,890,-5 -2012,1,9,18,30,0,0,0,1.3,0,97.73,890,-7 -2012,1,9,19,30,0,0,0,1.3,0,109.39,890,-8 -2012,1,9,20,30,0,0,0,1.3,0,121.45,890,-9 -2012,1,9,21,30,0,0,0,1.3,0,133.68,890,-9 -2012,1,9,22,30,0,0,0,1.3,0,145.81,890,-10 -2012,1,9,23,30,0,0,0,1.6,-1,157.25,890,-10 -2012,1,10,0,30,0,0,0,2.3000000000000003,-1,165.73,890,-10 -2012,1,10,1,30,0,0,0,2.4000000000000004,-1,164.75,890,-10 -2012,1,10,2,30,0,0,0,1.9000000000000001,-2,155.43,890,-9 -2012,1,10,3,30,0,0,0,1.7000000000000002,-3,143.79,890,-8 -2012,1,10,4,30,0,0,0,1.9000000000000001,-3,131.61,890,-7 -2012,1,10,5,30,0,0,0,2.1,-3,119.39,890,-6 -2012,1,10,6,30,0,0,0,2.2,-3,107.37,890,-5 -2012,1,10,7,30,0,0,0,2.9000000000000004,-2,95.79,890,-5 -2012,1,10,8,30,69,24,497,3.7,0,84.89,890,-4 -2012,1,10,9,30,250,45,797,3.9000000000000004,3,75.04,890,-4 -2012,1,10,10,30,414,53,914,4.3,6,66.73,890,-3 -2012,1,10,11,30,531,57,967,4.6000000000000005,9,60.63,890,-3 -2012,1,10,12,30,590,62,981,4.4,10,57.480000000000004,880,-3 -2012,1,10,13,30,584,62,979,4.1000000000000005,11,57.75,880,-4 -2012,1,10,14,30,515,59,954,3.7,12,61.410000000000004,880,-4 -2012,1,10,15,30,390,52,898,2.8000000000000003,12,67.91,880,-4 -2012,1,10,16,30,221,41,769,1.6,9,76.5,880,-1 -2012,1,10,17,30,44,19,419,1.3,7,86.54,880,-2 -2012,1,10,18,30,0,0,0,1.3,6,97.57000000000001,880,-3 -2012,1,10,19,30,0,0,0,1.4000000000000001,5,109.24000000000001,880,-3 -2012,1,10,20,30,0,0,0,1.5,3,121.29,880,-3 -2012,1,10,21,30,0,0,0,1.8,2,133.53,880,-3 -2012,1,10,22,30,0,0,0,2.2,1,145.66,880,-3 -2012,1,10,23,30,0,0,0,2.6,1,157.09,880,-3 -2012,1,11,0,30,0,0,0,3,0,165.56,880,-3 -2012,1,11,1,30,0,0,0,3.5,0,164.67000000000002,880,-3 -2012,1,11,2,30,0,0,0,4.1000000000000005,0,155.41,880,-3 -2012,1,11,3,30,0,0,0,4.3,0,143.8,880,-3 -2012,1,11,4,30,0,0,0,4.2,0,131.62,880,-3 -2012,1,11,5,30,0,0,0,4.4,0,119.39,880,-4 -2012,1,11,6,30,0,0,0,4.9,0,107.37,880,-4 -2012,1,11,7,30,0,0,0,5.7,0,95.78,880,-5 -2012,1,11,8,30,52,30,237,7.5,1,84.86,880,-4 -2012,1,11,9,30,198,77,467,9,3,74.98,880,-2 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-2012,1,13,16,30,237,43,798,1.3,6,75.96000000000001,890,-7 -2012,1,13,17,30,53,21,469,1.6,2,86.03,890,-10 -2012,1,13,18,30,0,0,0,1.9000000000000001,0,97.07000000000001,890,-12 -2012,1,13,19,30,0,0,0,2.1,0,108.76,890,-12 -2012,1,13,20,30,0,0,0,2.5,0,120.82000000000001,890,-12 -2012,1,13,21,30,0,0,0,3,0,133.06,890,-12 -2012,1,13,22,30,0,0,0,3.5,0,145.18,890,-12 -2012,1,13,23,30,0,0,0,3.4000000000000004,0,156.57,890,-12 -2012,1,14,0,30,0,0,0,2.8000000000000003,-1,165.01,890,-11 -2012,1,14,1,30,0,0,0,2.3000000000000003,-1,164.35,890,-12 -2012,1,14,2,30,0,0,0,2,-2,155.32,890,-12 -2012,1,14,3,30,0,0,0,1.9000000000000001,-2,143.78,890,-12 -2012,1,14,4,30,0,0,0,2,-2,131.62,890,-13 -2012,1,14,5,30,0,0,0,2.1,-2,119.39,890,-13 -2012,1,14,6,30,0,0,0,2.2,-2,107.34,890,-13 -2012,1,14,7,30,0,0,0,2.4000000000000004,-1,95.7,890,-13 -2012,1,14,8,30,77,23,584,3,1,84.73,890,-12 -2012,1,14,9,30,266,41,856,3,3,74.79,890,-12 -2012,1,14,10,30,435,50,959,2.1,6,66.37,890,-11 -2012,1,14,11,30,557,56,1006,1.1,9,60.14,890,-11 -2012,1,14,12,30,619,62,1019,1,12,56.870000000000005,890,-11 -2012,1,14,13,30,615,62,1016,1.9000000000000001,13,57.06,890,-12 -2012,1,14,14,30,545,60,991,2.4000000000000004,14,60.67,890,-13 -2012,1,14,15,30,417,55,931,2,13,67.16,890,-12 -2012,1,14,16,30,243,45,806,1.5,9,75.77,890,-5 -2012,1,14,17,30,56,22,472,1.9000000000000001,5,85.85000000000001,890,-7 -2012,1,14,18,30,0,0,0,2.2,3,96.9,890,-9 -2012,1,14,19,30,0,0,0,2.4000000000000004,2,108.59,890,-9 -2012,1,14,20,30,0,0,0,2.5,2,120.66,890,-9 -2012,1,14,21,30,0,0,0,2.6,1,132.9,890,-9 -2012,1,14,22,30,0,0,0,2.9000000000000004,1,145.01,890,-10 -2012,1,14,23,30,0,0,0,3.4000000000000004,1,156.39000000000001,890,-10 -2012,1,15,0,30,0,0,0,4,0,164.81,890,-11 -2012,1,15,1,30,0,0,0,4.2,0,164.23,890,-11 -2012,1,15,2,30,0,0,0,4.2,0,155.27,890,-11 -2012,1,15,3,30,0,0,0,4.3,0,143.76,890,-11 -2012,1,15,4,30,0,0,0,4.5,0,131.61,890,-11 -2012,1,15,5,30,0,0,0,4.6000000000000005,0,119.37,890,-11 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-2012,1,16,0,30,0,0,0,5.300000000000001,6,164.61,880,-2 -2012,1,16,1,30,0,0,0,5.300000000000001,6,164.1,880,-2 -2012,1,16,2,30,0,0,0,5.2,6,155.21,880,-1 -2012,1,16,3,30,0,0,0,5.1000000000000005,6,143.73,880,0 -2012,1,16,4,30,0,0,0,5,5,131.59,880,0 -2012,1,16,5,30,0,0,0,4.800000000000001,5,119.35000000000001,880,0 -2012,1,16,6,30,0,0,0,4.7,5,107.29,880,0 -2012,1,16,7,30,0,0,0,5,5,95.63,880,0 -2012,1,16,8,30,58,29,307,5.300000000000001,7,84.62,880,1 -2012,1,16,9,30,205,77,484,5.9,10,74.62,880,1 -2012,1,16,10,30,414,55,888,7.300000000000001,14,66.14,880,2 -2012,1,16,11,30,533,59,943,8.5,17,59.86,880,2 -2012,1,16,12,30,592,63,959,9.3,18,56.52,880,1 -2012,1,16,13,30,229,215,25,9.600000000000001,18,56.67,880,0 -2012,1,16,14,30,196,186,19,9.3,18,60.27,880,1 -2012,1,16,15,30,400,59,863,8.6,17,66.76,880,2 -2012,1,16,16,30,234,47,740,7.2,16,75.39,880,1 -2012,1,16,17,30,56,23,423,6.2,14,85.48,880,0 -2012,1,16,18,30,0,0,0,6.1000000000000005,12,96.56,880,0 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-2012,1,17,14,30,537,79,918,0.30000000000000004,4,60.06,890,-10 -2012,1,17,15,30,414,65,879,0.5,4,66.56,890,-9 -2012,1,17,16,30,244,50,761,1.2000000000000002,3,75.19,890,-9 -2012,1,17,17,30,61,25,445,1.7000000000000002,1,85.3,890,-7 -2012,1,17,18,30,0,0,0,2.3000000000000003,0,96.38,890,-9 -2012,1,17,19,30,0,0,0,2.7,0,108.09,890,-9 -2012,1,17,20,30,0,0,0,2.9000000000000004,0,120.18,890,-10 -2012,1,17,21,30,0,0,0,3,-1,132.41,890,-10 -2012,1,17,22,30,0,0,0,3.7,-1,144.51,890,-10 -2012,1,17,23,30,0,0,0,4.4,-2,155.83,890,-9 -2012,1,18,0,30,0,0,0,4.7,-2,164.20000000000002,890,-9 -2012,1,18,1,30,0,0,0,4.800000000000001,-2,163.81,890,-9 -2012,1,18,2,30,0,0,0,4.800000000000001,-2,155.08,890,-8 -2012,1,18,3,30,0,0,0,4.7,-2,143.66,890,-8 -2012,1,18,4,30,0,0,0,4.6000000000000005,-3,131.54,890,-7 -2012,1,18,5,30,0,0,0,4.6000000000000005,-3,119.29,890,-7 -2012,1,18,6,30,0,0,0,4.7,-2,107.22,890,-6 -2012,1,18,7,30,0,0,0,5,-1,95.52,890,-6 -2012,1,18,8,30,52,32,207,5.1000000000000005,0,84.48,890,-6 -2012,1,18,9,30,142,109,121,4.9,3,74.44,890,-6 -2012,1,18,10,30,274,176,239,5.4,8,65.9,890,-5 -2012,1,18,11,30,410,203,409,6,12,59.550000000000004,890,-7 -2012,1,18,12,30,467,223,437,5.9,14,56.15,890,-9 -2012,1,18,13,30,494,184,557,5.6000000000000005,15,56.26,890,-10 -2012,1,18,14,30,411,197,426,5.5,16,59.85,880,-10 -2012,1,18,15,30,368,84,709,4.800000000000001,15,66.35,880,-9 -2012,1,18,16,30,236,43,747,3.1,11,74.99,880,-7 -2012,1,18,17,30,64,24,472,2.4000000000000004,8,85.11,880,-5 -2012,1,18,18,30,0,0,0,2.7,7,96.2,880,-6 -2012,1,18,19,30,0,0,0,3.4000000000000004,7,107.92,880,-6 -2012,1,18,20,30,0,0,0,4.3,7,120.01,880,-7 -2012,1,18,21,30,0,0,0,4.9,7,132.25,880,-7 -2012,1,18,22,30,0,0,0,5.300000000000001,6,144.34,880,-7 -2012,1,18,23,30,0,0,0,5.6000000000000005,6,155.64000000000001,880,-7 -2012,1,19,0,30,0,0,0,5.800000000000001,5,163.98,880,-7 -2012,1,19,1,30,0,0,0,5.800000000000001,5,163.66,880,-7 -2012,1,19,2,30,0,0,0,5.5,4,155,880,-7 -2012,1,19,3,30,0,0,0,5.2,4,143.62,880,-7 -2012,1,19,4,30,0,0,0,5,4,131.5,880,-7 -2012,1,19,5,30,0,0,0,4.7,4,119.26,880,-7 -2012,1,19,6,30,0,0,0,4.3,3,107.17,880,-7 -2012,1,19,7,30,0,0,0,4.3,4,95.47,880,-6 -2012,1,19,8,30,35,33,18,4.6000000000000005,6,84.4,880,-6 -2012,1,19,9,30,175,103,266,4.1000000000000005,10,74.33,880,-6 -2012,1,19,10,30,305,164,344,2.6,13,65.76,880,-5 -2012,1,19,11,30,442,174,525,1.4000000000000001,16,59.38,880,-5 -2012,1,19,12,30,464,230,417,1.9000000000000001,18,55.95,880,-5 -2012,1,19,13,30,447,241,368,3.1,19,56.04,880,-4 -2012,1,19,14,30,467,133,660,3.6,20,59.63,880,-4 -2012,1,19,15,30,414,56,885,3.3000000000000003,19,66.14,880,-3 -2012,1,19,16,30,247,45,767,2.5,15,74.79,880,-1 -2012,1,19,17,30,65,24,460,2.7,12,84.92,880,0 -2012,1,19,18,30,0,0,0,3.6,10,96.02,880,-1 -2012,1,19,19,30,0,0,0,4,9,107.75,880,-2 -2012,1,19,20,30,0,0,0,3.5,7,119.85000000000001,880,-2 -2012,1,19,21,30,0,0,0,2.8000000000000003,6,132.08,880,-1 -2012,1,19,22,30,0,0,0,2.5,6,144.16,880,-1 -2012,1,19,23,30,0,0,0,2.5,5,155.45000000000002,880,-1 -2012,1,20,0,30,0,0,0,2.9000000000000004,5,163.76,880,-2 -2012,1,20,1,30,0,0,0,3.6,5,163.49,880,-2 -2012,1,20,2,30,0,0,0,4.3,5,154.92000000000002,880,-2 -2012,1,20,3,30,0,0,0,4.6000000000000005,5,143.56,880,-3 -2012,1,20,4,30,0,0,0,4.9,5,131.46,880,-3 -2012,1,20,5,30,0,0,0,5.1000000000000005,5,119.21000000000001,880,-4 -2012,1,20,6,30,0,0,0,5.2,5,107.12,880,-4 -2012,1,20,7,30,0,0,0,5.6000000000000005,5,95.4,880,-4 -2012,1,20,8,30,51,34,172,5.9,7,84.32000000000001,880,-4 -2012,1,20,9,30,270,45,829,5.7,11,74.22,880,-4 -2012,1,20,10,30,443,56,937,6.1000000000000005,15,65.62,880,-4 -2012,1,20,11,30,569,63,988,6.7,18,59.21,880,-5 -2012,1,20,12,30,631,67,1002,6.4,20,55.75,880,-7 -2012,1,20,13,30,623,69,986,5.6000000000000005,20,55.82,880,-8 -2012,1,20,14,30,361,232,254,4.7,19,59.4,880,-8 -2012,1,20,15,30,285,172,278,3.7,18,65.92,880,-7 -2012,1,20,16,30,217,67,565,2.8000000000000003,14,74.59,880,-4 -2012,1,20,17,30,68,27,440,2.8000000000000003,10,84.73,880,-2 -2012,1,20,18,30,0,0,0,3.1,8,95.84,880,-1 -2012,1,20,19,30,0,0,0,2.8000000000000003,6,107.58,880,-1 -2012,1,20,20,30,0,0,0,2.6,5,119.68,880,-2 -2012,1,20,21,30,0,0,0,2.7,4,131.91,890,-2 -2012,1,20,22,30,0,0,0,2.7,2,143.99,890,-3 -2012,1,20,23,30,0,0,0,2.3000000000000003,1,155.25,890,-4 -2012,1,21,0,30,0,0,0,2,0,163.53,890,-4 -2012,1,21,1,30,0,0,0,1.6,0,163.32,890,-5 -2012,1,21,2,30,0,0,0,1.1,-1,154.83,890,-5 -2012,1,21,3,30,0,0,0,0.8,-1,143.5,890,-5 -2012,1,21,4,30,0,0,0,0.6000000000000001,-2,131.41,890,-6 -2012,1,21,5,30,0,0,0,0.5,-2,119.16,890,-6 -2012,1,21,6,30,0,0,0,0.5,-2,107.06,890,-6 -2012,1,21,7,30,0,0,0,1.1,-2,95.33,890,-5 -2012,1,21,8,30,52,35,169,2.1,0,84.22,890,-5 -2012,1,21,9,30,265,46,799,3.3000000000000003,3,74.11,890,-4 -2012,1,21,10,30,435,56,914,4.6000000000000005,7,65.48,890,-3 -2012,1,21,11,30,559,61,968,5.800000000000001,10,59.03,880,-3 -2012,1,21,12,30,623,65,987,6.6000000000000005,13,55.54,880,-3 -2012,1,21,13,30,622,64,986,7.2,15,55.59,880,-3 -2012,1,21,14,30,556,64,960,7.4,16,59.17,880,-3 -2012,1,21,15,30,431,60,901,7,16,65.7,880,-4 -2012,1,21,16,30,260,49,781,5.9,14,74.38,880,-4 -2012,1,21,17,30,72,27,480,5.300000000000001,12,84.53,880,-4 -2012,1,21,18,30,0,0,0,5.2,10,95.66,880,-4 -2012,1,21,19,30,0,0,0,5.1000000000000005,8,107.4,870,-4 -2012,1,21,20,30,0,0,0,5.4,8,119.51,870,-4 -2012,1,21,21,30,0,0,0,5.800000000000001,7,131.75,870,-5 -2012,1,21,22,30,0,0,0,6,7,143.81,870,-6 -2012,1,21,23,30,0,0,0,6,7,155.05,870,-6 -2012,1,22,0,30,0,0,0,6.300000000000001,7,163.3,870,-6 -2012,1,22,1,30,0,0,0,6.300000000000001,8,163.14000000000001,870,-6 -2012,1,22,2,30,0,0,0,5.7,8,154.73,870,-5 -2012,1,22,3,30,0,0,0,5.7,8,143.44,870,-4 -2012,1,22,4,30,0,0,0,6.5,8,131.36,870,-3 -2012,1,22,5,30,0,0,0,6.800000000000001,7,119.11,870,-2 -2012,1,22,6,30,0,0,0,6.9,7,107,870,-1 -2012,1,22,7,30,0,0,0,7.7,7,95.25,870,-2 -2012,1,22,8,30,54,35,181,9.5,8,84.13,870,-4 -2012,1,22,9,30,261,54,749,11.4,10,73.98,870,-5 -2012,1,22,10,30,425,71,849,12.3,11,65.32000000000001,870,-5 -2012,1,22,11,30,450,179,522,12.200000000000001,12,58.84,870,-4 -2012,1,22,12,30,51,51,0,11.8,12,55.33,870,-3 -2012,1,22,13,30,393,273,211,11.3,12,55.36,880,-3 -2012,1,22,14,30,544,81,898,10.3,12,58.94,880,-3 -2012,1,22,15,30,428,64,878,8.5,11,65.47,880,-5 -2012,1,22,16,30,262,49,780,5.6000000000000005,9,74.17,880,-5 -2012,1,22,17,30,75,27,489,2.9000000000000004,6,84.34,880,-5 -2012,1,22,18,30,0,0,0,1.7000000000000002,4,95.47,880,-4 -2012,1,22,19,30,0,0,0,1.1,4,107.23,880,-5 -2012,1,22,20,30,0,0,0,0.6000000000000001,3,119.34,880,-5 -2012,1,22,21,30,0,0,0,0.6000000000000001,3,131.58,880,-6 -2012,1,22,22,30,0,0,0,1,2,143.63,880,-6 -2012,1,22,23,30,0,0,0,1.2000000000000002,0,154.85,890,-7 -2012,1,23,0,30,0,0,0,1.3,0,163.06,890,-7 -2012,1,23,1,30,0,0,0,1.3,0,162.95000000000002,890,-7 -2012,1,23,2,30,0,0,0,1.3,0,154.62,890,-7 -2012,1,23,3,30,0,0,0,1.2000000000000002,-1,143.37,890,-8 -2012,1,23,4,30,0,0,0,1.2000000000000002,-1,131.29,890,-8 -2012,1,23,5,30,0,0,0,1.2000000000000002,-2,119.05,890,-8 -2012,1,23,6,30,0,0,0,1.2000000000000002,-2,106.93,890,-8 -2012,1,23,7,30,0,0,0,1.7000000000000002,-2,95.17,890,-9 -2012,1,23,8,30,54,36,175,2.5,0,84.02,890,-9 -2012,1,23,9,30,274,48,812,3.3000000000000003,3,73.85000000000001,890,-9 -2012,1,23,10,30,445,59,920,4.3,7,65.16,890,-9 -2012,1,23,11,30,571,65,973,4.9,10,58.65,890,-10 -2012,1,23,12,30,548,149,696,5.1000000000000005,13,55.1,880,-11 -2012,1,23,13,30,635,72,983,5.4,15,55.120000000000005,880,-12 -2012,1,23,14,30,406,221,355,5.4,16,58.7,880,-13 -2012,1,23,15,30,242,187,130,4.5,15,65.25,880,-13 -2012,1,23,16,30,178,106,258,2.9000000000000004,11,73.96000000000001,880,-11 -2012,1,23,17,30,61,36,249,2.1,8,84.14,880,-8 -2012,1,23,18,30,0,0,0,2.3000000000000003,7,95.29,880,-8 -2012,1,23,19,30,0,0,0,2.6,6,107.05,880,-9 -2012,1,23,20,30,0,0,0,2.8000000000000003,6,119.17,880,-8 -2012,1,23,21,30,0,0,0,3.2,6,131.41,880,-8 -2012,1,23,22,30,0,0,0,3.3000000000000003,6,143.45000000000002,880,-8 -2012,1,23,23,30,0,0,0,3.1,5,154.64000000000001,880,-7 -2012,1,24,0,30,0,0,0,2.8000000000000003,4,162.82,880,-7 -2012,1,24,1,30,0,0,0,2.6,4,162.75,880,-7 -2012,1,24,2,30,0,0,0,2.5,3,154.5,880,-7 -2012,1,24,3,30,0,0,0,2.3000000000000003,2,143.29,880,-6 -2012,1,24,4,30,0,0,0,1.9000000000000001,1,131.23,880,-6 -2012,1,24,5,30,0,0,0,1.5,1,118.98,880,-6 -2012,1,24,6,30,0,0,0,1.2000000000000002,1,106.85000000000001,880,-6 -2012,1,24,7,30,0,0,0,1.1,1,95.08,880,-6 -2012,1,24,8,30,39,37,24,1.4000000000000001,2,83.91,880,-5 -2012,1,24,9,30,161,114,168,1.9000000000000001,4,73.72,880,-5 -2012,1,24,10,30,277,186,213,2.6,6,65,880,-5 -2012,1,24,11,30,411,222,361,3.3000000000000003,8,58.45,880,-5 -2012,1,24,12,30,458,253,355,3.5,9,54.88,880,-4 -2012,1,24,13,30,401,276,216,3.2,10,54.88,880,-3 -2012,1,24,14,30,416,219,377,2.2,11,58.46,880,-1 -2012,1,24,15,30,337,154,433,1,10,65.01,880,0 -2012,1,24,16,30,161,114,168,0.6000000000000001,9,73.74,880,1 -2012,1,24,17,30,41,38,28,0.9,7,83.94,880,1 -2012,1,24,18,30,0,0,0,1.5,6,95.10000000000001,880,0 -2012,1,24,19,30,0,0,0,2.5,6,106.88,890,0 -2012,1,24,20,30,0,0,0,3.2,6,119,890,1 -2012,1,24,21,30,0,0,0,3.8000000000000003,5,131.24,890,1 -2012,1,24,22,30,0,0,0,4.5,3,143.27,890,1 -2012,1,24,23,30,0,0,0,5.2,2,154.44,890,0 -2012,1,25,0,30,0,0,0,5.800000000000001,1,162.58,890,-2 -2012,1,25,1,30,0,0,0,6.2,0,162.55,890,-3 -2012,1,25,2,30,0,0,0,6.300000000000001,0,154.38,890,-3 -2012,1,25,3,30,0,0,0,6.300000000000001,0,143.20000000000002,890,-3 -2012,1,25,4,30,0,0,0,6.1000000000000005,0,131.15,890,-4 -2012,1,25,5,30,0,0,0,5.7,-1,118.91,890,-3 -2012,1,25,6,30,0,0,0,5.6000000000000005,-1,106.77,890,-3 -2012,1,25,7,30,0,0,0,5.9,-1,94.98,890,-3 -2012,1,25,8,30,45,38,59,6.4,0,83.8,890,-3 -2012,1,25,9,30,258,70,665,6.7,2,73.58,890,-3 -2012,1,25,10,30,346,149,462,6.6000000000000005,5,64.82000000000001,890,-3 -2012,1,25,11,30,439,204,446,6.4,6,58.24,890,-3 -2012,1,25,12,30,620,103,892,5.9,7,54.64,890,-4 -2012,1,25,13,30,626,96,914,5.300000000000001,8,54.63,890,-5 -2012,1,25,14,30,567,85,915,4.7,9,58.21,890,-6 -2012,1,25,15,30,448,70,885,4,10,64.78,890,-7 -2012,1,25,16,30,279,55,791,2.4000000000000004,8,73.52,890,-7 -2012,1,25,17,30,87,30,522,1.2000000000000002,6,83.74,890,-5 -2012,1,25,18,30,0,0,0,1.1,5,94.92,890,-7 -2012,1,25,19,30,0,0,0,1,5,106.7,880,-7 -2012,1,25,20,30,0,0,0,1.2000000000000002,4,118.83,880,-7 -2012,1,25,21,30,0,0,0,1.3,2,131.06,880,-7 -2012,1,25,22,30,0,0,0,1.4000000000000001,2,143.09,880,-7 -2012,1,25,23,30,0,0,0,1.5,1,154.23,880,-8 -2012,1,26,0,30,0,0,0,1.5,0,162.33,880,-8 -2012,1,26,1,30,0,0,0,1.5,0,162.34,880,-8 -2012,1,26,2,30,0,0,0,1.7000000000000002,0,154.24,880,-8 -2012,1,26,3,30,0,0,0,2.3000000000000003,0,143.11,890,-8 -2012,1,26,4,30,0,0,0,3.3000000000000003,0,131.07,890,-7 -2012,1,26,5,30,0,0,0,4.1000000000000005,0,118.83,890,-7 -2012,1,26,6,30,0,0,0,4.6000000000000005,0,106.68,890,-6 -2012,1,26,7,30,0,0,0,5.1000000000000005,1,94.88,890,-5 -2012,1,26,8,30,55,39,144,5.2,3,83.68,890,-5 -2012,1,26,9,30,278,48,804,5.7,6,73.43,890,-4 -2012,1,26,10,30,451,58,917,6.300000000000001,9,64.65,890,-3 -2012,1,26,11,30,578,63,973,5.800000000000001,12,58.03,890,-4 -2012,1,26,12,30,645,69,989,4.9,13,54.4,890,-5 -2012,1,26,13,30,645,70,988,3.9000000000000004,14,54.38,890,-5 -2012,1,26,14,30,579,68,962,2.8000000000000003,14,57.96,890,-6 -2012,1,26,15,30,453,60,914,1.5,13,64.54,890,-7 -2012,1,26,16,30,280,51,798,0.8,11,73.3,890,-5 -2012,1,26,17,30,88,30,518,1,8,83.54,890,-4 -2012,1,26,18,30,0,0,0,1.5,6,94.73,890,-5 -2012,1,26,19,30,0,0,0,2.4000000000000004,6,106.52,890,-5 -2012,1,26,20,30,0,0,0,3.8000000000000003,7,118.66,890,-6 -2012,1,26,21,30,0,0,0,5.2,7,130.89000000000001,880,-6 -2012,1,26,22,30,0,0,0,6.1000000000000005,6,142.91,880,-5 -2012,1,26,23,30,0,0,0,6.6000000000000005,5,154.02,880,-5 -2012,1,27,0,30,0,0,0,6.7,5,162.07,880,-5 -2012,1,27,1,30,0,0,0,6.1000000000000005,4,162.12,880,-5 -2012,1,27,2,30,0,0,0,5.300000000000001,4,154.11,880,-4 -2012,1,27,3,30,0,0,0,5.2,4,143.01,880,-4 -2012,1,27,4,30,0,0,0,5.2,4,130.99,880,-4 -2012,1,27,5,30,0,0,0,5.1000000000000005,5,118.74000000000001,880,-4 -2012,1,27,6,30,0,0,0,4.800000000000001,4,106.59,880,-4 -2012,1,27,7,30,0,0,0,4.9,4,94.77,880,-4 -2012,1,27,8,30,49,40,82,5.2,6,83.55,880,-4 -2012,1,27,9,30,272,54,759,5.5,10,73.28,880,-3 -2012,1,27,10,30,441,66,870,5.9,13,64.46000000000001,880,-1 -2012,1,27,11,30,564,74,921,6.1000000000000005,14,57.81,880,0 -2012,1,27,12,30,627,82,931,6.6000000000000005,14,54.160000000000004,880,0 -2012,1,27,13,30,626,89,915,7.300000000000001,13,54.120000000000005,880,0 -2012,1,27,14,30,512,124,725,7.5,11,57.7,890,0 -2012,1,27,15,30,442,75,844,7.1000000000000005,10,64.3,890,-1 -2012,1,27,16,30,276,58,748,5.9,9,73.08,890,-3 -2012,1,27,17,30,90,32,502,4.1000000000000005,7,83.33,890,-4 -2012,1,27,18,30,0,0,0,3,5,94.54,890,-5 -2012,1,27,19,30,0,0,0,3,3,106.34,890,-5 -2012,1,27,20,30,0,0,0,3.3000000000000003,2,118.48,890,-6 -2012,1,27,21,30,0,0,0,3.4000000000000004,1,130.72,890,-7 -2012,1,27,22,30,0,0,0,3.4000000000000004,0,142.72,890,-8 -2012,1,27,23,30,0,0,0,3.3000000000000003,0,153.8,900,-9 -2012,1,28,0,30,0,0,0,3.2,0,161.82,900,-9 -2012,1,28,1,30,0,0,0,2.9000000000000004,-1,161.89000000000001,900,-10 -2012,1,28,2,30,0,0,0,2.4000000000000004,-2,153.96,900,-10 -2012,1,28,3,30,0,0,0,1.9000000000000001,-3,142.9,900,-10 -2012,1,28,4,30,0,0,0,1.3,-3,130.89000000000001,900,-10 -2012,1,28,5,30,0,0,0,1,-4,118.65,900,-10 -2012,1,28,6,30,0,0,0,0.7000000000000001,-4,106.49000000000001,900,-10 -2012,1,28,7,30,0,0,0,0.7000000000000001,-3,94.66,900,-10 -2012,1,28,8,30,60,40,176,1.6,-1,83.42,900,-10 -2012,1,28,9,30,223,89,460,2.8000000000000003,1,73.12,900,-11 -2012,1,28,10,30,350,156,446,3.7,3,64.27,900,-11 -2012,1,28,11,30,484,161,602,4.2,6,57.59,900,-11 -2012,1,28,12,30,561,159,683,4.6000000000000005,7,53.9,900,-10 -2012,1,28,13,30,656,80,976,4.6000000000000005,9,53.85,900,-9 -2012,1,28,14,30,591,76,957,4.5,10,57.44,900,-8 -2012,1,28,15,30,465,68,907,4,9,64.06,900,-8 -2012,1,28,16,30,292,56,799,2.6,7,72.86,890,-8 -2012,1,28,17,30,97,33,536,1.6,3,83.13,890,-6 -2012,1,28,18,30,0,0,0,2,2,94.35000000000001,890,-7 -2012,1,28,19,30,0,0,0,2.5,1,106.16,900,-7 -2012,1,28,20,30,0,0,0,3,1,118.31,900,-8 -2012,1,28,21,30,0,0,0,3.4000000000000004,0,130.54,900,-8 -2012,1,28,22,30,0,0,0,3.7,0,142.54,900,-8 -2012,1,28,23,30,0,0,0,4,0,153.58,900,-8 -2012,1,29,0,30,0,0,0,4.1000000000000005,0,161.55,890,-8 -2012,1,29,1,30,0,0,0,4.4,0,161.66,890,-9 -2012,1,29,2,30,0,0,0,4.5,0,153.8,890,-9 -2012,1,29,3,30,0,0,0,4.5,-1,142.79,890,-9 -2012,1,29,4,30,0,0,0,4.4,-2,130.8,890,-9 -2012,1,29,5,30,0,0,0,4.1000000000000005,-2,118.55,890,-9 -2012,1,29,6,30,0,0,0,4.1000000000000005,-3,106.39,890,-9 -2012,1,29,7,30,0,0,0,4.4,-2,94.54,890,-9 -2012,1,29,8,30,64,40,207,4.4,0,83.28,890,-10 -2012,1,29,9,30,295,47,844,3.7,3,72.95,890,-10 -2012,1,29,10,30,471,56,948,2.9000000000000004,7,64.07000000000001,890,-10 -2012,1,29,11,30,600,62,997,2.1,11,57.36,890,-11 -2012,1,29,12,30,667,69,1009,1.3,14,53.65,890,-11 -2012,1,29,13,30,668,69,1008,0.8,15,53.58,890,-12 -2012,1,29,14,30,601,66,987,0.6000000000000001,16,57.18,890,-12 -2012,1,29,15,30,474,61,936,0.30000000000000004,15,63.81,890,-12 -2012,1,29,16,30,299,50,833,0.2,13,72.63,890,-8 -2012,1,29,17,30,102,31,581,0.5,11,82.92,890,-7 -2012,1,29,18,30,0,0,0,0.9,9,94.16,890,-10 -2012,1,29,19,30,0,0,0,1.2000000000000002,7,105.99000000000001,890,-10 -2012,1,29,20,30,0,0,0,1.5,6,118.14,890,-9 -2012,1,29,21,30,0,0,0,1.6,4,130.37,890,-9 -2012,1,29,22,30,0,0,0,1.7000000000000002,3,142.35,890,-9 -2012,1,29,23,30,0,0,0,1.9000000000000001,2,153.36,890,-9 -2012,1,30,0,30,0,0,0,2.3000000000000003,2,161.29,890,-10 -2012,1,30,1,30,0,0,0,2.8000000000000003,2,161.42000000000002,890,-10 -2012,1,30,2,30,0,0,0,3.2,1,153.64000000000001,890,-10 -2012,1,30,3,30,0,0,0,3.5,1,142.66,890,-9 -2012,1,30,4,30,0,0,0,3.7,1,130.69,890,-9 -2012,1,30,5,30,0,0,0,3.9000000000000004,0,118.45,890,-8 -2012,1,30,6,30,0,0,0,4.1000000000000005,0,106.28,890,-8 -2012,1,30,7,30,0,0,0,4.6000000000000005,1,94.42,890,-7 -2012,1,30,8,30,49,43,56,5.1000000000000005,3,83.14,890,-7 -2012,1,30,9,30,228,92,459,5,6,72.78,890,-7 -2012,1,30,10,30,368,150,494,5.2,10,63.870000000000005,890,-7 -2012,1,30,11,30,514,137,695,6.5,15,57.120000000000005,880,-7 -2012,1,30,12,30,668,72,998,7.6000000000000005,18,53.38,880,-8 -2012,1,30,13,30,670,72,1002,7.7,19,53.31,880,-9 -2012,1,30,14,30,606,69,982,7.300000000000001,19,56.910000000000004,880,-10 -2012,1,30,15,30,479,64,932,6.4,18,63.56,880,-11 -2012,1,30,16,30,304,54,828,4.7,16,72.41,880,-10 -2012,1,30,17,30,106,33,572,3.5,12,82.71000000000001,880,-8 -2012,1,30,18,30,0,0,0,3.8000000000000003,10,93.97,880,-8 -2012,1,30,19,30,0,0,0,4.3,9,105.81,880,-8 -2012,1,30,20,30,0,0,0,4.5,8,117.96000000000001,880,-7 -2012,1,30,21,30,0,0,0,4.4,7,130.19,880,-6 -2012,1,30,22,30,0,0,0,4.2,6,142.16,880,-6 -2012,1,30,23,30,0,0,0,4.3,5,153.14000000000001,880,-7 -2012,1,31,0,30,0,0,0,4.4,4,161.02,880,-8 -2012,1,31,1,30,0,0,0,4.5,3,161.17000000000002,880,-8 -2012,1,31,2,30,0,0,0,4.4,2,153.47,880,-8 -2012,1,31,3,30,0,0,0,4.3,2,142.54,880,-8 -2012,1,31,4,30,0,0,0,4.3,1,130.58,880,-8 -2012,1,31,5,30,0,0,0,4.1000000000000005,1,118.34,880,-8 -2012,1,31,6,30,0,0,0,4,0,106.16,890,-8 -2012,1,31,7,30,0,0,0,4.2,1,94.29,890,-9 -2012,1,31,8,30,66,42,197,4.4,5,82.99,890,-8 -2012,1,31,9,30,296,55,804,4.3,9,72.61,890,-8 -2012,1,31,10,30,364,157,466,4.5,12,63.660000000000004,890,-8 -2012,1,31,11,30,598,78,953,4.2,13,56.88,890,-9 -2012,1,31,12,30,665,82,971,3.1,14,53.11,890,-9 -2012,1,31,13,30,666,82,970,2.1,15,53.03,890,-9 -2012,1,31,14,30,469,210,471,1.3,15,56.64,890,-8 -2012,1,31,15,30,467,60,905,1,14,63.31,890,-8 -2012,1,31,16,30,259,74,603,0.9,12,72.18,890,-7 -2012,1,31,17,30,88,43,349,1.2000000000000002,9,82.51,890,-3 -2012,1,31,18,30,0,0,0,1.5,6,93.78,890,-5 -2012,1,31,19,30,0,0,0,1.6,5,105.62,890,-6 -2012,1,31,20,30,0,0,0,1.7000000000000002,5,117.79,890,-6 -2012,1,31,21,30,0,0,0,1.7000000000000002,5,130.01,890,-6 -2012,1,31,22,30,0,0,0,1.6,5,141.97,890,-6 -2012,1,31,23,30,0,0,0,1.5,5,152.92000000000002,890,-6 -2012,2,1,0,30,0,0,0,1.4000000000000001,4,160.74,890,-6 -2012,2,1,1,30,0,0,0,1.2000000000000002,4,160.92000000000002,890,-6 -2012,2,1,2,30,0,0,0,1,4,153.29,890,-5 -2012,2,1,3,30,0,0,0,1.1,4,142.4,890,-5 -2012,2,1,4,30,0,0,0,1.5,4,130.46,890,-5 -2012,2,1,5,30,0,0,0,1.8,3,118.23,890,-5 -2012,2,1,6,30,0,0,0,2.1,2,106.04,890,-5 -2012,2,1,7,30,0,0,0,3,3,94.15,890,-5 -2012,2,1,8,30,71,42,229,3.8000000000000003,5,82.83,890,-5 -2012,2,1,9,30,295,58,784,4.2,8,72.42,890,-5 -2012,2,1,10,30,473,70,902,4.800000000000001,11,63.45,890,-6 -2012,2,1,11,30,606,77,962,5.2,14,56.63,890,-7 -2012,2,1,12,30,677,80,986,5,15,52.84,890,-8 -2012,2,1,13,30,680,80,991,4.5,16,52.75,890,-9 -2012,2,1,14,30,615,76,973,3.9000000000000004,16,56.370000000000005,890,-9 -2012,2,1,15,30,487,69,924,3,15,63.06,890,-10 -2012,2,1,16,30,311,57,817,1.8,13,71.95,890,-9 -2012,2,1,17,30,111,36,559,1.2000000000000002,9,82.3,890,-4 -2012,2,1,18,30,0,0,0,1.4000000000000001,7,93.58,890,-6 -2012,2,1,19,30,0,0,0,1.5,6,105.44,890,-6 -2012,2,1,20,30,0,0,0,1.4000000000000001,5,117.61,890,-6 -2012,2,1,21,30,0,0,0,1.4000000000000001,4,129.84,890,-6 -2012,2,1,22,30,0,0,0,1.4000000000000001,4,141.78,890,-5 -2012,2,1,23,30,0,0,0,1.4000000000000001,3,152.69,890,-5 -2012,2,2,0,30,0,0,0,1.4000000000000001,3,160.46,890,-5 -2012,2,2,1,30,0,0,0,1.5,3,160.66,890,-5 -2012,2,2,2,30,0,0,0,1.7000000000000002,2,153.1,890,-5 -2012,2,2,3,30,0,0,0,2,2,142.26,890,-5 -2012,2,2,4,30,0,0,0,2.5,2,130.34,890,-5 -2012,2,2,5,30,0,0,0,3,2,118.10000000000001,890,-4 -2012,2,2,6,30,0,0,0,3.5,2,105.91,890,-3 -2012,2,2,7,30,0,0,0,3.9000000000000004,2,94.01,890,-2 -2012,2,2,8,30,62,46,122,4.1000000000000005,3,82.67,890,-2 -2012,2,2,9,30,240,92,486,4.9,5,72.24,890,-1 -2012,2,2,10,30,388,141,547,6.2,8,63.230000000000004,890,0 -2012,2,2,11,30,490,193,535,7.4,11,56.38,880,0 -2012,2,2,12,30,372,298,121,8.3,13,52.56,880,0 -2012,2,2,13,30,298,268,49,8.8,14,52.46,880,0 -2012,2,2,14,30,449,237,379,8.6,14,56.09,880,2 -2012,2,2,15,30,446,119,713,7.800000000000001,13,62.800000000000004,880,4 -2012,2,2,16,30,273,106,533,6.7,12,71.72,880,5 -2012,2,2,17,30,93,55,274,5.9,10,82.09,880,6 -2012,2,2,18,30,0,0,0,5.4,8,93.39,880,6 -2012,2,2,19,30,0,0,0,4.800000000000001,7,105.26,880,7 -2012,2,2,20,30,0,0,0,3.9000000000000004,7,117.44,880,7 -2012,2,2,21,30,0,0,0,3,7,129.66,880,7 -2012,2,2,22,30,0,0,0,2.5,7,141.58,880,7 -2012,2,2,23,30,0,0,0,2.4000000000000004,6,152.46,880,6 -2012,2,3,0,30,0,0,0,2,5,160.18,880,4 -2012,2,3,1,30,0,0,0,1.5,4,160.39000000000001,880,4 -2012,2,3,2,30,0,0,0,1.3,3,152.91,880,2 -2012,2,3,3,30,0,0,0,1.2000000000000002,2,142.11,880,2 -2012,2,3,4,30,0,0,0,1.1,1,130.21,880,1 -2012,2,3,5,30,0,0,0,1.4000000000000001,1,117.98,880,1 -2012,2,3,6,30,0,0,0,2.5,1,105.78,880,1 -2012,2,3,7,30,0,0,0,3.5,1,93.87,880,1 -2012,2,3,8,30,98,42,426,3.8000000000000003,3,82.5,880,2 -2012,2,3,9,30,287,81,668,3.9000000000000004,4,72.04,880,3 -2012,2,3,10,30,64,64,0,4,5,63,880,3 -2012,2,3,11,30,82,82,0,4.1000000000000005,6,56.120000000000005,880,3 -2012,2,3,12,30,116,116,0,4.5,7,52.28,880,2 -2012,2,3,13,30,84,84,0,5,7,52.17,890,2 -2012,2,3,14,30,57,57,0,5.6000000000000005,7,55.81,890,1 -2012,2,3,15,30,70,70,0,5.7,7,62.550000000000004,890,0 -2012,2,3,16,30,115,113,6,5.2,6,71.48,890,0 -2012,2,3,17,30,11,11,0,4,4,81.88,890,-1 -2012,2,3,18,30,0,0,0,3.5,2,93.2,890,-2 -2012,2,3,19,30,0,0,0,3.7,1,105.08,890,-2 -2012,2,3,20,30,0,0,0,3.7,0,117.26,890,-3 -2012,2,3,21,30,0,0,0,3.8000000000000003,0,129.48,890,-3 -2012,2,3,22,30,0,0,0,4,0,141.39000000000001,890,-4 -2012,2,3,23,30,0,0,0,4.1000000000000005,0,152.23,890,-4 -2012,2,4,0,30,0,0,0,4.4,-1,159.89000000000001,890,-4 -2012,2,4,1,30,0,0,0,4.7,-1,160.12,890,-4 -2012,2,4,2,30,0,0,0,4.9,-2,152.71,890,-4 -2012,2,4,3,30,0,0,0,5,-2,141.95000000000002,890,-4 -2012,2,4,4,30,0,0,0,5,-2,130.07,890,-4 -2012,2,4,5,30,0,0,0,5,-2,117.84,890,-5 -2012,2,4,6,30,0,0,0,5,-2,105.64,890,-5 -2012,2,4,7,30,0,0,0,5.300000000000001,-1,93.71000000000001,890,-5 -2012,2,4,8,30,102,44,435,6.800000000000001,0,82.33,900,-5 -2012,2,4,9,30,297,76,707,8,2,71.84,900,-5 -2012,2,4,10,30,297,213,184,7.9,4,62.77,900,-5 -2012,2,4,11,30,379,272,190,7.5,5,55.85,900,-5 -2012,2,4,12,30,422,305,190,7,6,51.99,900,-5 -2012,2,4,13,30,675,106,922,6.6000000000000005,7,51.870000000000005,890,-5 -2012,2,4,14,30,609,102,895,6.1000000000000005,7,55.53,890,-5 -2012,2,4,15,30,484,90,848,5.7,6,62.28,890,-5 -2012,2,4,16,30,162,134,87,4.9,5,71.25,900,-5 -2012,2,4,17,30,114,46,465,3.4000000000000004,2,81.67,900,-5 -2012,2,4,18,30,0,0,0,2.4000000000000004,0,93,900,-5 -2012,2,4,19,30,0,0,0,2.4000000000000004,0,104.9,900,-5 -2012,2,4,20,30,0,0,0,2.4000000000000004,0,117.08,900,-5 -2012,2,4,21,30,0,0,0,2.2,-1,129.3,900,-5 -2012,2,4,22,30,0,0,0,1.9000000000000001,-2,141.19,900,-5 -2012,2,4,23,30,0,0,0,1.8,-2,151.99,900,-5 -2012,2,5,0,30,0,0,0,1.9000000000000001,-3,159.6,900,-5 -2012,2,5,1,30,0,0,0,2.1,-4,159.84,900,-5 -2012,2,5,2,30,0,0,0,2.2,-4,152.5,900,-5 -2012,2,5,3,30,0,0,0,2.3000000000000003,-4,141.79,900,-6 -2012,2,5,4,30,0,0,0,2.2,-5,129.93,900,-6 -2012,2,5,5,30,0,0,0,2,-5,117.7,900,-6 -2012,2,5,6,30,0,0,0,1.8,-5,105.5,900,-6 -2012,2,5,7,30,0,0,0,2.3000000000000003,-4,93.56,900,-6 -2012,2,5,8,30,75,48,202,3,-1,82.15,900,-6 -2012,2,5,9,30,302,68,744,3.3000000000000003,1,71.64,900,-7 -2012,2,5,10,30,477,83,856,3.2,3,62.54,900,-8 -2012,2,5,11,30,607,90,913,2.9000000000000004,4,55.58,900,-8 -2012,2,5,12,30,676,93,940,2.4000000000000004,5,51.69,900,-8 -2012,2,5,13,30,597,177,676,2,6,51.57,900,-9 -2012,2,5,14,30,507,188,559,1.6,7,55.24,890,-9 -2012,2,5,15,30,452,86,780,1.4000000000000001,6,62.02,890,-9 -2012,2,5,16,30,277,80,605,1,5,71.01,890,-9 -2012,2,5,17,30,121,39,554,0.9,3,81.45,890,-6 -2012,2,5,18,30,0,0,0,1.1,1,92.81,890,-8 -2012,2,5,19,30,0,0,0,1.2000000000000002,0,104.72,890,-9 -2012,2,5,20,30,0,0,0,1.2000000000000002,0,116.91,890,-9 -2012,2,5,21,30,0,0,0,1.2000000000000002,-1,129.12,890,-9 -2012,2,5,22,30,0,0,0,1.2000000000000002,-2,140.99,890,-10 -2012,2,5,23,30,0,0,0,1.2000000000000002,-2,151.76,890,-10 -2012,2,6,0,30,0,0,0,1.3,-3,159.31,890,-10 -2012,2,6,1,30,0,0,0,1.4000000000000001,-3,159.55,890,-10 -2012,2,6,2,30,0,0,0,1.5,-3,152.29,890,-10 -2012,2,6,3,30,0,0,0,1.6,-3,141.62,890,-10 -2012,2,6,4,30,0,0,0,1.6,-3,129.78,890,-10 -2012,2,6,5,30,0,0,0,1.6,-3,117.56,890,-10 -2012,2,6,6,30,0,0,0,1.7000000000000002,-3,105.35000000000001,890,-10 -2012,2,6,7,30,0,0,0,2.5,-1,93.39,890,-9 -2012,2,6,8,30,83,47,260,3.4000000000000004,1,81.97,890,-9 -2012,2,6,9,30,238,108,409,3.9000000000000004,3,71.43,890,-9 -2012,2,6,10,30,374,181,415,4.3,6,62.300000000000004,890,-9 -2012,2,6,11,30,611,85,924,4.7,8,55.31,890,-9 -2012,2,6,12,30,680,87,950,5.1000000000000005,9,51.39,890,-9 -2012,2,6,13,30,574,208,585,5.300000000000001,10,51.26,890,-8 -2012,2,6,14,30,616,88,919,5.300000000000001,10,54.95,890,-7 -2012,2,6,15,30,432,117,667,4.800000000000001,9,61.76,890,-7 -2012,2,6,16,30,231,124,324,3.4000000000000004,8,70.78,890,-6 -2012,2,6,17,30,82,58,158,2.1,6,81.24,890,-5 -2012,2,6,18,30,0,0,0,2,4,92.62,890,-4 -2012,2,6,19,30,0,0,0,2.2,3,104.54,890,-5 -2012,2,6,20,30,0,0,0,2.4000000000000004,2,116.73,890,-5 -2012,2,6,21,30,0,0,0,2.7,2,128.94,890,-5 -2012,2,6,22,30,0,0,0,2.8000000000000003,1,140.79,890,-5 -2012,2,6,23,30,0,0,0,2.7,1,151.52,890,-5 -2012,2,7,0,30,0,0,0,2.2,0,159.01,890,-5 -2012,2,7,1,30,0,0,0,1.7000000000000002,0,159.26,890,-4 -2012,2,7,2,30,0,0,0,1.6,0,152.07,890,-4 -2012,2,7,3,30,0,0,0,1.9000000000000001,0,141.45000000000002,890,-3 -2012,2,7,4,30,0,0,0,2.3000000000000003,-1,129.62,890,-3 -2012,2,7,5,30,0,0,0,3.3000000000000003,-1,117.41,890,-2 -2012,2,7,6,30,0,0,0,4.6000000000000005,-1,105.19,890,-2 -2012,2,7,7,30,0,0,0,6,0,93.23,890,-2 -2012,2,7,8,30,7,7,0,7.1000000000000005,0,81.78,890,-3 -2012,2,7,9,30,100,100,0,7.6000000000000005,0,71.22,890,-4 -2012,2,7,10,30,145,145,0,7.800000000000001,1,62.050000000000004,890,-4 -2012,2,7,11,30,249,231,30,7.9,2,55.03,890,-4 -2012,2,7,12,30,269,251,28,7.7,2,51.09,890,-5 -2012,2,7,13,30,233,223,15,7.4,3,50.95,890,-5 -2012,2,7,14,30,269,245,41,7,3,54.65,890,-6 -2012,2,7,15,30,163,160,6,6.5,2,61.49,900,-6 -2012,2,7,16,30,122,119,8,5.5,1,70.54,900,-7 -2012,2,7,17,30,52,52,0,3.6,0,81.03,900,-8 -2012,2,7,18,30,0,0,0,2.1,-2,92.42,900,-8 -2012,2,7,19,30,0,0,0,1.7000000000000002,-3,104.36,900,-8 -2012,2,7,20,30,0,0,0,1.5,-4,116.55,900,-8 -2012,2,7,21,30,0,0,0,1.2000000000000002,-5,128.76,900,-8 -2012,2,7,22,30,0,0,0,1.1,-6,140.59,900,-8 -2012,2,7,23,30,0,0,0,0.9,-6,151.28,900,-8 -2012,2,8,0,30,0,0,0,0.9,-6,158.71,900,-8 -2012,2,8,1,30,0,0,0,0.8,-6,158.97,900,-8 -2012,2,8,2,30,0,0,0,0.7000000000000001,-6,151.84,900,-8 -2012,2,8,3,30,0,0,0,0.6000000000000001,-6,141.26,900,-8 -2012,2,8,4,30,0,0,0,0.6000000000000001,-6,129.46,900,-8 -2012,2,8,5,30,0,0,0,0.5,-6,117.25,900,-8 -2012,2,8,6,30,0,0,0,0.5,-5,105.03,900,-8 -2012,2,8,7,30,0,0,0,1.2000000000000002,-4,93.05,900,-8 -2012,2,8,8,30,117,44,500,2.3000000000000003,-1,81.59,900,-8 -2012,2,8,9,30,223,125,299,3,1,71,900,-8 -2012,2,8,10,30,492,85,861,3.6,3,61.800000000000004,900,-8 -2012,2,8,11,30,620,92,915,4.3,5,54.74,890,-7 -2012,2,8,12,30,688,96,937,4.6000000000000005,7,50.78,890,-7 -2012,2,8,13,30,690,94,940,4.7,8,50.64,890,-7 -2012,2,8,14,30,625,88,921,4.5,9,54.36,890,-6 -2012,2,8,15,30,500,80,873,4.2,9,61.230000000000004,890,-6 -2012,2,8,16,30,326,66,770,3,7,70.3,890,-5 -2012,2,8,17,30,129,43,536,2.2,3,80.82000000000001,890,-4 -2012,2,8,18,30,0,0,0,2.7,2,92.23,890,-5 -2012,2,8,19,30,0,0,0,3.3000000000000003,1,104.17,890,-5 -2012,2,8,20,30,0,0,0,3.5,1,116.38,890,-5 -2012,2,8,21,30,0,0,0,3.3000000000000003,0,128.57,890,-5 -2012,2,8,22,30,0,0,0,2.9000000000000004,0,140.39000000000001,890,-5 -2012,2,8,23,30,0,0,0,2.8000000000000003,0,151.03,890,-5 -2012,2,9,0,30,0,0,0,3,0,158.41,890,-5 -2012,2,9,1,30,0,0,0,3.5,0,158.66,890,-4 -2012,2,9,2,30,0,0,0,3.7,0,151.6,890,-4 -2012,2,9,3,30,0,0,0,3.6,0,141.07,890,-3 -2012,2,9,4,30,0,0,0,3.4000000000000004,0,129.29,890,-3 -2012,2,9,5,30,0,0,0,3.1,0,117.09,890,-2 -2012,2,9,6,30,0,0,0,3,0,104.87,890,-2 -2012,2,9,7,30,0,0,0,3.5,0,92.88,890,-2 -2012,2,9,8,30,12,12,0,4.1000000000000005,1,81.39,890,-2 -2012,2,9,9,30,82,82,0,4.3,2,70.77,890,-2 -2012,2,9,10,30,194,183,23,3.9000000000000004,1,61.54,890,-2 -2012,2,9,11,30,187,183,7,3,1,54.46,890,-2 -2012,2,9,12,30,211,204,10,2.4000000000000004,2,50.46,890,-2 -2012,2,9,13,30,196,191,8,2.2,3,50.32,890,-1 -2012,2,9,14,30,126,126,0,2.5,4,54.06,890,-1 -2012,2,9,15,30,44,44,0,2.9000000000000004,5,60.96,890,-1 -2012,2,9,16,30,177,144,96,3,4,70.07000000000001,890,-1 -2012,2,9,17,30,54,54,0,2.5,1,80.60000000000001,890,-1 -2012,2,9,18,30,0,0,0,2.6,0,92.04,890,-2 -2012,2,9,19,30,0,0,0,3.2,0,103.99000000000001,890,-2 -2012,2,9,20,30,0,0,0,3.1,0,116.2,890,-3 -2012,2,9,21,30,0,0,0,2.7,-1,128.39000000000001,890,-2 -2012,2,9,22,30,0,0,0,2.3000000000000003,-1,140.19,890,-2 -2012,2,9,23,30,0,0,0,2.2,-1,150.79,890,-2 -2012,2,10,0,30,0,0,0,2.5,-2,158.1,890,-2 -2012,2,10,1,30,0,0,0,2.8000000000000003,-2,158.36,890,-2 -2012,2,10,2,30,0,0,0,3.1,-2,151.36,890,-3 -2012,2,10,3,30,0,0,0,3.3000000000000003,-2,140.88,890,-3 -2012,2,10,4,30,0,0,0,3.3000000000000003,-2,129.12,890,-3 -2012,2,10,5,30,0,0,0,3.3000000000000003,-2,116.93,890,-3 -2012,2,10,6,30,0,0,0,3.3000000000000003,-2,104.69,890,-3 -2012,2,10,7,30,0,0,0,3.7,-2,92.69,890,-4 -2012,2,10,8,30,126,42,546,4,0,81.19,890,-4 -2012,2,10,9,30,330,65,796,3.8000000000000003,2,70.55,890,-6 -2012,2,10,10,30,509,78,897,3.5,5,61.28,890,-7 -2012,2,10,11,30,639,88,941,3,7,54.160000000000004,890,-7 -2012,2,10,12,30,704,98,946,2.2,8,50.14,890,-6 -2012,2,10,13,30,704,100,939,1.5,9,50,890,-6 -2012,2,10,14,30,636,99,908,1.2000000000000002,10,53.76,890,-5 -2012,2,10,15,30,508,90,853,1.3,10,60.69,890,-5 -2012,2,10,16,30,332,75,743,1.1,9,69.83,890,-5 -2012,2,10,17,30,134,47,520,1.2000000000000002,6,80.39,890,-2 -2012,2,10,18,30,0,0,0,1.9000000000000001,3,91.84,890,-4 -2012,2,10,19,30,0,0,0,3,2,103.81,890,-5 -2012,2,10,20,30,0,0,0,4.3,1,116.02,890,-6 -2012,2,10,21,30,0,0,0,4.9,0,128.21,890,-6 -2012,2,10,22,30,0,0,0,5.1000000000000005,-2,139.98,890,-6 -2012,2,10,23,30,0,0,0,5.1000000000000005,-3,150.54,890,-6 -2012,2,11,0,30,0,0,0,5,-4,157.79,900,-7 -2012,2,11,1,30,0,0,0,4.9,-5,158.05,900,-8 -2012,2,11,2,30,0,0,0,4.800000000000001,-6,151.11,900,-9 -2012,2,11,3,30,0,0,0,4.6000000000000005,-6,140.68,900,-11 -2012,2,11,4,30,0,0,0,4.4,-7,128.94,900,-12 -2012,2,11,5,30,0,0,0,4.1000000000000005,-7,116.75,900,-13 -2012,2,11,6,30,0,0,0,3.9000000000000004,-7,104.52,900,-14 -2012,2,11,7,30,0,0,0,3.9000000000000004,-6,92.5,900,-14 -2012,2,11,8,30,19,19,0,4,-5,80.98,900,-14 -2012,2,11,9,30,133,126,19,3.8000000000000003,-4,70.31,900,-14 -2012,2,11,10,30,314,221,193,3.4000000000000004,-2,61.01,900,-13 -2012,2,11,11,30,370,284,145,2.9000000000000004,-1,53.86,900,-12 -2012,2,11,12,30,507,299,322,2.6,0,49.82,900,-12 -2012,2,11,13,30,393,316,118,2.5,0,49.68,900,-11 -2012,2,11,14,30,262,243,32,2.7,1,53.46,900,-11 -2012,2,11,15,30,259,220,79,3,0,60.42,900,-10 -2012,2,11,16,30,83,83,0,3.4000000000000004,0,69.59,900,-10 -2012,2,11,17,30,29,29,0,3.4000000000000004,-1,80.18,900,-11 -2012,2,11,18,30,0,0,0,3.3000000000000003,-2,91.65,900,-11 -2012,2,11,19,30,0,0,0,3.5,-3,103.63,900,-11 -2012,2,11,20,30,0,0,0,3.8000000000000003,-4,115.84,900,-11 -2012,2,11,21,30,0,0,0,4.1000000000000005,-5,128.02,900,-11 -2012,2,11,22,30,0,0,0,4.1000000000000005,-6,139.78,900,-12 -2012,2,11,23,30,0,0,0,3.9000000000000004,-6,150.29,900,-12 -2012,2,12,0,30,0,0,0,3.7,-7,157.48,900,-13 -2012,2,12,1,30,0,0,0,3.6,-7,157.73,900,-13 -2012,2,12,2,30,0,0,0,3.5,-7,150.86,900,-13 -2012,2,12,3,30,0,0,0,3.5,-6,140.47,900,-13 -2012,2,12,4,30,0,0,0,3.8000000000000003,-6,128.75,900,-13 -2012,2,12,5,30,0,0,0,4.2,-6,116.57000000000001,890,-13 -2012,2,12,6,30,0,0,0,4.6000000000000005,-5,104.34,890,-13 -2012,2,12,7,30,0,0,0,5,-4,92.31,890,-13 -2012,2,12,8,30,35,35,0,5.4,-3,80.77,890,-13 -2012,2,12,9,30,126,122,9,5.800000000000001,-2,70.07000000000001,890,-13 -2012,2,12,10,30,355,212,292,6.1000000000000005,-2,60.74,890,-12 -2012,2,12,11,30,83,83,0,6.300000000000001,-2,53.56,890,-9 -2012,2,12,12,30,35,35,0,6.5,-2,49.49,890,-8 -2012,2,12,13,30,165,162,3,6.7,-2,49.35,890,-8 -2012,2,12,14,30,152,152,1,6.800000000000001,-1,53.15,890,-7 -2012,2,12,15,30,209,195,27,6.6000000000000005,-1,60.15,890,-7 -2012,2,12,16,30,184,150,98,6.4,-1,69.35000000000001,890,-7 -2012,2,12,17,30,108,74,194,6,-2,79.97,890,-7 -2012,2,12,18,30,0,0,0,5.7,-2,91.46000000000001,880,-6 -2012,2,12,19,30,0,0,0,5.800000000000001,-3,103.45,880,-6 -2012,2,12,20,30,0,0,0,6.2,-3,115.67,880,-6 -2012,2,12,21,30,0,0,0,6.4,-3,127.84,880,-5 -2012,2,12,22,30,0,0,0,6.4,-3,139.57,880,-5 -2012,2,12,23,30,0,0,0,6.300000000000001,-3,150.03,880,-5 -2012,2,13,0,30,0,0,0,6.5,-3,157.16,880,-4 -2012,2,13,1,30,0,0,0,6.6000000000000005,-3,157.41,880,-4 -2012,2,13,2,30,0,0,0,6.6000000000000005,-2,150.6,880,-4 -2012,2,13,3,30,0,0,0,6.4,-2,140.25,880,-4 -2012,2,13,4,30,0,0,0,6.300000000000001,-2,128.56,880,-4 -2012,2,13,5,30,0,0,0,6.1000000000000005,-1,116.39,880,-3 -2012,2,13,6,30,0,0,0,6.1000000000000005,-1,104.15,880,-3 -2012,2,13,7,30,0,0,0,6.6000000000000005,0,92.11,880,-2 -2012,2,13,8,30,132,46,522,6.9,1,80.55,880,-2 -2012,2,13,9,30,337,70,775,7.1000000000000005,5,69.83,880,-1 -2012,2,13,10,30,520,81,889,7.4,9,60.47,880,-1 -2012,2,13,11,30,653,87,946,7.300000000000001,12,53.25,880,-2 -2012,2,13,12,30,724,89,971,6.9,13,49.160000000000004,880,-3 -2012,2,13,13,30,727,88,973,6.1000000000000005,14,49.02,880,-4 -2012,2,13,14,30,661,85,953,5.2,14,52.84,880,-5 -2012,2,13,15,30,532,77,907,3.3000000000000003,13,59.870000000000005,880,-5 -2012,2,13,16,30,355,64,816,1.4000000000000001,10,69.11,880,-1 -2012,2,13,17,30,151,43,607,0.5,6,79.75,880,-2 -2012,2,13,18,30,0,0,0,0.30000000000000004,4,91.26,880,-4 -2012,2,13,19,30,0,0,0,0.5,2,103.27,880,-4 -2012,2,13,20,30,0,0,0,0.9,1,115.49000000000001,880,-3 -2012,2,13,21,30,0,0,0,1.4000000000000001,0,127.65,880,-3 -2012,2,13,22,30,0,0,0,1.7000000000000002,0,139.36,880,-3 -2012,2,13,23,30,0,0,0,2,0,149.78,880,-4 -2012,2,14,0,30,0,0,0,2.3000000000000003,0,156.84,880,-4 -2012,2,14,1,30,0,0,0,2.4000000000000004,0,157.08,880,-4 -2012,2,14,2,30,0,0,0,2.3000000000000003,-1,150.33,880,-4 -2012,2,14,3,30,0,0,0,2.1,-1,140.03,880,-4 -2012,2,14,4,30,0,0,0,1.9000000000000001,-1,128.37,880,-4 -2012,2,14,5,30,0,0,0,1.8,0,116.2,880,-4 -2012,2,14,6,30,0,0,0,1.8,0,103.96000000000001,880,-4 -2012,2,14,7,30,0,0,0,2.2,1,91.91,880,-4 -2012,2,14,8,30,64,60,21,2.8000000000000003,4,80.33,880,-3 -2012,2,14,9,30,160,143,48,2.8000000000000003,7,69.58,880,-2 -2012,2,14,10,30,266,224,85,3.5,11,60.19,880,-2 -2012,2,14,11,30,418,294,206,4.4,15,52.94,880,-2 -2012,2,14,12,30,707,113,902,4.6000000000000005,16,48.83,880,-2 -2012,2,14,13,30,705,122,884,4.7,17,48.68,880,-3 -2012,2,14,14,30,246,232,22,4.6000000000000005,17,52.53,880,-3 -2012,2,14,15,30,289,233,110,4,16,59.6,880,-2 -2012,2,14,16,30,13,13,0,2.7,13,68.87,880,-2 -2012,2,14,17,30,81,70,59,1.9000000000000001,10,79.54,880,0 -2012,2,14,18,30,0,0,0,1.7000000000000002,8,91.07000000000001,880,0 -2012,2,14,19,30,0,0,0,1.5,7,103.09,880,0 -2012,2,14,20,30,0,0,0,1.3,7,115.31,880,-1 -2012,2,14,21,30,0,0,0,1.3,6,127.47,880,-2 -2012,2,14,22,30,0,0,0,1.6,4,139.15,880,-2 -2012,2,14,23,30,0,0,0,2.4000000000000004,4,149.52,880,-2 -2012,2,15,0,30,0,0,0,3.5,4,156.52,880,-2 -2012,2,15,1,30,0,0,0,4.3,3,156.75,880,-2 -2012,2,15,2,30,0,0,0,4.4,2,150.06,880,-2 -2012,2,15,3,30,0,0,0,4.1000000000000005,1,139.81,880,-2 -2012,2,15,4,30,0,0,0,4.2,1,128.16,880,-2 -2012,2,15,5,30,0,0,0,4.6000000000000005,0,116.01,880,-2 -2012,2,15,6,30,0,0,0,5,0,103.76,880,-2 -2012,2,15,7,30,0,0,0,5.6000000000000005,1,91.7,880,-3 -2012,2,15,8,30,111,55,323,6.5,3,80.11,880,-4 -2012,2,15,9,30,347,68,790,7.2,6,69.33,880,-4 -2012,2,15,10,30,525,84,879,7.4,8,59.910000000000004,880,-3 -2012,2,15,11,30,658,93,930,7.5,9,52.620000000000005,880,-2 -2012,2,15,12,30,519,313,310,7.6000000000000005,9,48.49,880,-2 -2012,2,15,13,30,733,96,958,7.6000000000000005,10,48.35,880,-1 -2012,2,15,14,30,666,97,928,7.5,9,52.22,880,-1 -2012,2,15,15,30,255,223,62,6.9,8,59.32,880,-1 -2012,2,15,16,30,223,160,170,5.9,7,68.63,890,-1 -2012,2,15,17,30,155,50,567,4.1000000000000005,5,79.33,890,-1 -2012,2,15,18,30,0,0,0,2.5,2,90.87,890,-1 -2012,2,15,19,30,0,0,0,1.8,0,102.9,890,-2 -2012,2,15,20,30,0,0,0,1.4000000000000001,0,115.13,890,-2 -2012,2,15,21,30,0,0,0,1.3,0,127.28,890,-2 -2012,2,15,22,30,0,0,0,1.4000000000000001,0,138.94,890,-3 -2012,2,15,23,30,0,0,0,1.5,-1,149.26,890,-3 -2012,2,16,0,30,0,0,0,1.6,-2,156.19,890,-4 -2012,2,16,1,30,0,0,0,1.5,-2,156.41,890,-4 -2012,2,16,2,30,0,0,0,1.4000000000000001,-3,149.78,890,-4 -2012,2,16,3,30,0,0,0,1.3,-4,139.58,890,-5 -2012,2,16,4,30,0,0,0,1.3,-4,127.96000000000001,890,-5 -2012,2,16,5,30,0,0,0,1.2000000000000002,-4,115.81,890,-5 -2012,2,16,6,30,0,0,0,1.1,-4,103.56,890,-5 -2012,2,16,7,30,0,0,0,1.4000000000000001,-2,91.49,890,-5 -2012,2,16,8,30,145,47,556,2,0,79.88,890,-5 -2012,2,16,9,30,348,73,771,2.5,2,69.08,890,-5 -2012,2,16,10,30,527,88,867,2.8000000000000003,5,59.620000000000005,890,-5 -2012,2,16,11,30,658,96,918,2.9000000000000004,7,52.300000000000004,890,-5 -2012,2,16,12,30,726,105,930,2.9000000000000004,9,48.15,890,-4 -2012,2,16,13,30,723,113,912,3.1,10,48,890,-4 -2012,2,16,14,30,552,211,552,3.1,11,51.910000000000004,890,-3 -2012,2,16,15,30,411,206,398,2.9000000000000004,10,59.050000000000004,890,-3 -2012,2,16,16,30,350,92,700,2,9,68.39,890,-3 -2012,2,16,17,30,150,61,475,1.5,6,79.12,890,-1 -2012,2,16,18,30,0,0,0,1.9000000000000001,5,90.68,890,-2 -2012,2,16,19,30,0,0,0,2.3000000000000003,4,102.72,890,-2 -2012,2,16,20,30,0,0,0,2.3000000000000003,4,114.95,890,-2 -2012,2,16,21,30,0,0,0,1.9000000000000001,3,127.09,890,-1 -2012,2,16,22,30,0,0,0,1.5,3,138.73,890,-1 -2012,2,16,23,30,0,0,0,1.4000000000000001,2,149,890,-1 -2012,2,17,0,30,0,0,0,1.5,1,155.86,890,-1 -2012,2,17,1,30,0,0,0,1.5,1,156.07,890,-1 -2012,2,17,2,30,0,0,0,1.2000000000000002,1,149.49,890,0 -2012,2,17,3,30,0,0,0,1.1,1,139.34,890,0 -2012,2,17,4,30,0,0,0,0.9,1,127.74000000000001,890,0 -2012,2,17,5,30,0,0,0,0.5,1,115.61,890,0 -2012,2,17,6,30,0,0,0,0.30000000000000004,1,103.36,890,0 -2012,2,17,7,30,0,0,0,1.1,1,91.28,890,0 -2012,2,17,8,30,19,19,0,1.9000000000000001,2,79.64,890,0 -2012,2,17,9,30,103,103,0,2.1,4,68.82000000000001,890,0 -2012,2,17,10,30,76,76,0,2.3000000000000003,6,59.33,890,0 -2012,2,17,11,30,167,165,3,2.6,8,51.97,890,0 -2012,2,17,12,30,43,43,0,2.8000000000000003,10,47.800000000000004,890,1 -2012,2,17,13,30,247,236,16,2.8000000000000003,11,47.660000000000004,890,1 -2012,2,17,14,30,473,301,276,2.7,12,51.59,880,1 -2012,2,17,15,30,210,198,23,2.5,11,58.77,880,2 -2012,2,17,16,30,70,70,0,2,10,68.15,880,2 -2012,2,17,17,30,70,68,7,1.4000000000000001,7,78.91,880,2 -2012,2,17,18,30,0,0,0,1.4000000000000001,5,90.49,890,2 -2012,2,17,19,30,0,0,0,1.7000000000000002,5,102.54,890,2 -2012,2,17,20,30,0,0,0,1.7000000000000002,4,114.78,890,2 -2012,2,17,21,30,0,0,0,1.6,3,126.91,890,2 -2012,2,17,22,30,0,0,0,1.4000000000000001,3,138.51,890,2 -2012,2,17,23,30,0,0,0,1.2000000000000002,2,148.73,890,2 -2012,2,18,0,30,0,0,0,1.1,2,155.53,890,2 -2012,2,18,1,30,0,0,0,1.5,1,155.73,890,1 -2012,2,18,2,30,0,0,0,2.1,0,149.20000000000002,880,0 -2012,2,18,3,30,0,0,0,2.2,0,139.09,880,0 -2012,2,18,4,30,0,0,0,2.6,0,127.53,890,-1 -2012,2,18,5,30,0,0,0,3.3000000000000003,0,115.4,890,-1 -2012,2,18,6,30,0,0,0,3.7,0,103.15,890,-1 -2012,2,18,7,30,0,0,0,4,0,91.06,890,-1 -2012,2,18,8,30,30,30,0,4.2,0,79.41,890,-1 -2012,2,18,9,30,110,110,0,4.4,1,68.55,890,0 -2012,2,18,10,30,153,152,1,4.4,1,59.03,890,0 -2012,2,18,11,30,171,168,4,4.1000000000000005,3,51.65,890,0 -2012,2,18,12,30,169,166,4,3.7,4,47.45,890,0 -2012,2,18,13,30,133,133,0,3.4000000000000004,4,47.32,890,0 -2012,2,18,14,30,173,170,4,3.1,5,51.28,890,0 -2012,2,18,15,30,182,177,9,2.8000000000000003,5,58.5,890,0 -2012,2,18,16,30,83,83,0,2.2,4,67.91,890,0 -2012,2,18,17,30,70,69,5,1.3,3,78.69,890,0 -2012,2,18,18,30,0,0,0,0.7000000000000001,1,90.3,890,0 -2012,2,18,19,30,0,0,0,0.6000000000000001,0,102.36,890,-1 -2012,2,18,20,30,0,0,0,0.8,0,114.60000000000001,890,-1 -2012,2,18,21,30,0,0,0,1,-1,126.72,890,-1 -2012,2,18,22,30,0,0,0,1.2000000000000002,-1,138.3,890,-1 -2012,2,18,23,30,0,0,0,1.4000000000000001,-2,148.46,890,-2 -2012,2,19,0,30,0,0,0,1.8,-2,155.20000000000002,890,-2 -2012,2,19,1,30,0,0,0,2.5,-1,155.38,890,-1 -2012,2,19,2,30,0,0,0,3,-1,148.91,890,-1 -2012,2,19,3,30,0,0,0,2.9000000000000004,-1,138.85,890,-1 -2012,2,19,4,30,0,0,0,2.8000000000000003,-1,127.3,890,-2 -2012,2,19,5,30,0,0,0,2.9000000000000004,-1,115.18,890,-2 -2012,2,19,6,30,0,0,0,3.3000000000000003,-1,102.93,890,-2 -2012,2,19,7,30,0,0,0,4.2,0,90.83,890,-2 -2012,2,19,8,30,72,69,17,5.1000000000000005,1,79.16,890,-1 -2012,2,19,9,30,171,153,48,5.4,3,68.28,890,-1 -2012,2,19,10,30,424,202,428,5.5,7,58.730000000000004,880,-1 -2012,2,19,11,30,686,100,938,5.800000000000001,10,51.31,880,-2 -2012,2,19,12,30,758,103,962,6,12,47.1,880,-3 -2012,2,19,13,30,760,102,965,6.1000000000000005,13,46.97,880,-4 -2012,2,19,14,30,692,99,942,6.4,13,50.96,880,-4 -2012,2,19,15,30,558,94,882,6.7,13,58.22,880,-4 -2012,2,19,16,30,333,92,634,6.300000000000001,12,67.67,880,-4 -2012,2,19,17,30,161,43,595,5.6000000000000005,9,78.48,880,-3 -2012,2,19,18,30,0,0,0,5.800000000000001,7,90.11,880,-2 -2012,2,19,19,30,0,0,0,6.4,6,102.18,880,-1 -2012,2,19,20,30,0,0,0,6.7,4,114.42,880,0 -2012,2,19,21,30,0,0,0,6.800000000000001,4,126.53,880,0 -2012,2,19,22,30,0,0,0,6.6000000000000005,4,138.08,880,0 -2012,2,19,23,30,0,0,0,5.800000000000001,3,148.19,880,0 -2012,2,20,0,30,0,0,0,5,2,154.86,880,0 -2012,2,20,1,30,0,0,0,4.6000000000000005,2,155.03,880,0 -2012,2,20,2,30,0,0,0,4.5,2,148.61,880,0 -2012,2,20,3,30,0,0,0,4.5,2,138.59,880,-2 -2012,2,20,4,30,0,0,0,4.6000000000000005,2,127.07000000000001,880,-3 -2012,2,20,5,30,0,0,0,4.9,3,114.97,880,-3 -2012,2,20,6,30,0,0,0,5.300000000000001,3,102.71000000000001,880,-3 -2012,2,20,7,30,0,0,0,5.9,3,90.60000000000001,880,-3 -2012,2,20,8,30,136,56,414,7.4,5,78.92,880,-3 -2012,2,20,9,30,391,65,869,9,7,68.01,880,-7 -2012,2,20,10,30,582,73,973,9.700000000000001,8,58.43,880,-12 -2012,2,20,11,30,718,77,1018,10,9,50.980000000000004,880,-15 -2012,2,20,12,30,782,87,1014,9.8,10,46.74,880,-16 -2012,2,20,13,30,692,173,755,9.4,10,46.62,880,-14 -2012,2,20,14,30,700,100,946,8.700000000000001,10,50.64,880,-12 -2012,2,20,15,30,575,81,929,7.300000000000001,10,57.94,880,-11 -2012,2,20,16,30,395,67,854,4.9,9,67.43,880,-11 -2012,2,20,17,30,183,47,669,2.3000000000000003,6,78.27,880,-10 -2012,2,20,18,30,0,0,0,1.2000000000000002,4,89.92,880,-8 -2012,2,20,19,30,0,0,0,1.3,3,102,890,-10 -2012,2,20,20,30,0,0,0,1.7000000000000002,1,114.24000000000001,890,-11 -2012,2,20,21,30,0,0,0,2.3000000000000003,0,126.34,890,-12 -2012,2,20,22,30,0,0,0,2.8000000000000003,0,137.86,890,-13 -2012,2,20,23,30,0,0,0,3.1,0,147.92000000000002,890,-13 -2012,2,21,0,30,0,0,0,3.2,-1,154.52,890,-12 -2012,2,21,1,30,0,0,0,3.1,-1,154.68,890,-12 -2012,2,21,2,30,0,0,0,2.9000000000000004,-2,148.3,890,-12 -2012,2,21,3,30,0,0,0,3,-3,138.33,890,-12 -2012,2,21,4,30,0,0,0,3.3000000000000003,-3,126.84,890,-12 -2012,2,21,5,30,0,0,0,3.9000000000000004,-3,114.74000000000001,890,-13 -2012,2,21,6,30,0,0,0,4.5,-2,102.49000000000001,890,-13 -2012,2,21,7,30,0,0,0,5.2,-1,90.37,890,-13 -2012,2,21,8,30,148,51,491,5.5,1,78.67,890,-13 -2012,2,21,9,30,370,69,795,6,6,67.74,890,-12 -2012,2,21,10,30,574,77,941,7.4,11,58.120000000000005,890,-12 -2012,2,21,11,30,710,82,990,8.200000000000001,14,50.64,890,-12 -2012,2,21,12,30,778,90,998,8.3,15,46.38,880,-12 -2012,2,21,13,30,778,91,993,8.3,16,46.26,880,-12 -2012,2,21,14,30,707,89,968,8.1,16,50.32,880,-12 -2012,2,21,15,30,576,77,932,7.7,16,57.660000000000004,880,-11 -2012,2,21,16,30,395,64,855,6.4,15,67.19,880,-11 -2012,2,21,17,30,186,44,687,4.4,11,78.06,880,-10 -2012,2,21,18,30,0,0,0,3.4000000000000004,8,89.73,880,-8 -2012,2,21,19,30,0,0,0,3.5,7,101.82000000000001,880,-7 -2012,2,21,20,30,0,0,0,3.9000000000000004,6,114.06,880,-7 -2012,2,21,21,30,0,0,0,4.3,6,126.15,880,-7 -2012,2,21,22,30,0,0,0,4.5,5,137.64000000000001,880,-7 -2012,2,21,23,30,0,0,0,4.5,4,147.65,880,-6 -2012,2,22,0,30,0,0,0,4.4,3,154.18,880,-6 -2012,2,22,1,30,0,0,0,4.4,2,154.32,880,-6 -2012,2,22,2,30,0,0,0,4.4,2,147.99,880,-6 -2012,2,22,3,30,0,0,0,4.5,1,138.07,880,-6 -2012,2,22,4,30,0,0,0,4.5,1,126.60000000000001,880,-6 -2012,2,22,5,30,0,0,0,4.6000000000000005,1,114.52,880,-6 -2012,2,22,6,30,0,0,0,4.7,1,102.26,880,-6 -2012,2,22,7,30,0,0,0,5.2,3,90.13,880,-6 -2012,2,22,8,30,121,72,243,5.4,7,78.42,880,-5 -2012,2,22,9,30,318,116,526,5.1000000000000005,11,67.46000000000001,880,-4 -2012,2,22,10,30,573,61,962,4.6000000000000005,15,57.81,880,-4 -2012,2,22,11,30,584,216,576,3.8000000000000003,19,50.29,880,-4 -2012,2,22,12,30,665,212,651,3.3000000000000003,20,46.01,880,-4 -2012,2,22,13,30,685,207,686,3.6,21,45.910000000000004,880,-4 -2012,2,22,14,30,709,68,998,4.2,22,50,880,-4 -2012,2,22,15,30,581,64,959,4.6000000000000005,22,57.39,880,-4 -2012,2,22,16,30,249,168,207,3.8000000000000003,20,66.95,870,-4 -2012,2,22,17,30,177,42,644,2.9000000000000004,16,77.86,870,-2 -2012,2,22,18,30,0,0,0,4.2,14,89.54,870,-2 -2012,2,22,19,30,0,0,0,5.9,14,101.65,870,-2 -2012,2,22,20,30,0,0,0,6.5,13,113.88,870,-1 -2012,2,22,21,30,0,0,0,6.7,12,125.96000000000001,870,-1 -2012,2,22,22,30,0,0,0,6.9,11,137.42000000000002,870,0 -2012,2,22,23,30,0,0,0,7,10,147.37,870,0 -2012,2,23,0,30,0,0,0,6.800000000000001,9,153.83,870,0 -2012,2,23,1,30,0,0,0,6.6000000000000005,8,153.96,870,0 -2012,2,23,2,30,0,0,0,6.6000000000000005,8,147.67000000000002,870,0 -2012,2,23,3,30,0,0,0,6.5,7,137.8,870,-1 -2012,2,23,4,30,0,0,0,6.4,7,126.36,870,-1 -2012,2,23,5,30,0,0,0,6.300000000000001,7,114.29,870,-2 -2012,2,23,6,30,0,0,0,6.1000000000000005,7,102.03,870,-2 -2012,2,23,7,30,0,0,0,6.1000000000000005,8,89.89,870,-2 -2012,2,23,8,30,138,67,346,6.5,11,78.16,870,-2 -2012,2,23,9,30,328,112,556,7.7,13,67.18,870,-2 -2012,2,23,10,30,486,156,615,8.700000000000001,13,57.5,880,-3 -2012,2,23,11,30,581,225,553,8.6,13,49.95,880,-4 -2012,2,23,12,30,693,181,731,8.200000000000001,13,45.65,880,-4 -2012,2,23,13,30,695,182,732,7.9,13,45.550000000000004,880,-5 -2012,2,23,14,30,708,77,975,7.7,12,49.68,880,-5 -2012,2,23,15,30,577,75,923,7.6000000000000005,10,57.11,880,-6 -2012,2,23,16,30,396,67,832,7.7,8,66.72,880,-7 -2012,2,23,17,30,140,72,316,7.7,6,77.65,880,-7 -2012,2,23,18,30,0,0,0,7.7,5,89.35000000000001,880,-8 -2012,2,23,19,30,0,0,0,7.7,4,101.47,880,-9 -2012,2,23,20,30,0,0,0,7.4,4,113.7,880,-11 -2012,2,23,21,30,0,0,0,6.7,4,125.76,890,-12 -2012,2,23,22,30,0,0,0,5.9,3,137.20000000000002,890,-12 -2012,2,23,23,30,0,0,0,4.7,1,147.09,890,-11 -2012,2,24,0,30,0,0,0,3.6,0,153.48,890,-10 -2012,2,24,1,30,0,0,0,2.9000000000000004,0,153.59,890,-10 -2012,2,24,2,30,0,0,0,2.9000000000000004,0,147.35,890,-10 -2012,2,24,3,30,0,0,0,2.8000000000000003,-1,137.52,890,-10 -2012,2,24,4,30,0,0,0,2.4000000000000004,-2,126.11,890,-10 -2012,2,24,5,30,0,0,0,1.9000000000000001,-3,114.05,890,-10 -2012,2,24,6,30,0,0,0,1.5,-4,101.8,890,-11 -2012,2,24,7,30,0,0,0,1.6,-2,89.65,890,-11 -2012,2,24,8,30,143,66,364,2,0,77.9,890,-11 -2012,2,24,9,30,327,117,535,2.4000000000000004,4,66.89,890,-13 -2012,2,24,10,30,605,72,982,2.7,6,57.18,890,-15 -2012,2,24,11,30,740,78,1021,2.6,8,49.6,890,-15 -2012,2,24,12,30,811,81,1036,2.5,9,45.28,890,-15 -2012,2,24,13,30,811,81,1034,2.5,10,45.19,890,-15 -2012,2,24,14,30,740,78,1016,2.5,10,49.36,890,-14 -2012,2,24,15,30,606,73,975,2.3000000000000003,10,56.83,890,-14 -2012,2,24,16,30,421,63,896,1.6,9,66.48,890,-14 -2012,2,24,17,30,203,46,721,1,6,77.44,890,-10 -2012,2,24,18,30,0,0,0,1.1,4,89.16,890,-9 -2012,2,24,19,30,0,0,0,1.4000000000000001,2,101.29,890,-10 -2012,2,24,20,30,0,0,0,1.6,1,113.52,890,-10 -2012,2,24,21,30,0,0,0,1.8,0,125.57000000000001,890,-11 -2012,2,24,22,30,0,0,0,2,0,136.97,890,-12 -2012,2,24,23,30,0,0,0,2.1,0,146.81,890,-12 -2012,2,25,0,30,0,0,0,2.3000000000000003,0,153.14000000000001,890,-12 -2012,2,25,1,30,0,0,0,2.5,-1,153.23,890,-12 -2012,2,25,2,30,0,0,0,2.9000000000000004,-1,147.03,890,-12 -2012,2,25,3,30,0,0,0,3.3000000000000003,-1,137.24,890,-12 -2012,2,25,4,30,0,0,0,3.7,-1,125.86,890,-12 -2012,2,25,5,30,0,0,0,4.2,-2,113.81,890,-12 -2012,2,25,6,30,0,0,0,4.6000000000000005,-1,101.56,890,-12 -2012,2,25,7,30,0,0,0,5.1000000000000005,0,89.4,890,-12 -2012,2,25,8,30,198,46,710,6.1000000000000005,3,77.64,890,-12 -2012,2,25,9,30,414,63,883,7.800000000000001,7,66.61,890,-11 -2012,2,25,10,30,599,74,960,9,10,56.86,890,-11 -2012,2,25,11,30,732,80,999,9.5,13,49.25,890,-11 -2012,2,25,12,30,801,84,1012,9.8,14,44.910000000000004,890,-11 -2012,2,25,13,30,802,83,1014,9.9,15,44.83,890,-10 -2012,2,25,14,30,733,80,996,9.8,16,49.04,880,-10 -2012,2,25,15,30,601,73,958,9.5,16,56.56,880,-10 -2012,2,25,16,30,416,66,870,8.5,15,66.24,880,-10 -2012,2,25,17,30,200,50,681,7.1000000000000005,13,77.23,880,-9 -2012,2,25,18,30,13,10,128,6.300000000000001,11,88.98,880,-8 -2012,2,25,19,30,0,0,0,5.9,9,101.11,880,-8 -2012,2,25,20,30,0,0,0,5.9,7,113.35000000000001,880,-7 -2012,2,25,21,30,0,0,0,6.1000000000000005,6,125.38000000000001,880,-6 -2012,2,25,22,30,0,0,0,6.1000000000000005,5,136.75,880,-6 -2012,2,25,23,30,0,0,0,5.9,5,146.53,880,-6 -2012,2,26,0,30,0,0,0,5.6000000000000005,4,152.78,880,-5 -2012,2,26,1,30,0,0,0,5.300000000000001,3,152.85,880,-5 -2012,2,26,2,30,0,0,0,5,3,146.70000000000002,880,-5 -2012,2,26,3,30,0,0,0,4.6000000000000005,2,136.96,880,-5 -2012,2,26,4,30,0,0,0,4.3,2,125.60000000000001,880,-5 -2012,2,26,5,30,0,0,0,4.1000000000000005,1,113.57000000000001,880,-5 -2012,2,26,6,30,0,0,0,4,1,101.32000000000001,880,-5 -2012,2,26,7,30,0,0,0,4.2,2,89.15,880,-5 -2012,2,26,8,30,155,66,405,4,6,77.37,880,-5 -2012,2,26,9,30,414,68,861,3.6,9,66.32000000000001,880,-5 -2012,2,26,10,30,599,79,942,3,12,56.54,880,-6 -2012,2,26,11,30,732,86,982,1.8,15,48.89,880,-6 -2012,2,26,12,30,798,93,989,1.4000000000000001,17,44.53,880,-7 -2012,2,26,13,30,798,93,987,1.8,19,44.47,880,-8 -2012,2,26,14,30,728,90,967,1.8,20,48.71,880,-9 -2012,2,26,15,30,597,81,929,1.3,19,56.28,880,-9 -2012,2,26,16,30,413,69,845,0.9,17,66.01,880,-9 -2012,2,26,17,30,199,50,663,1.6,13,77.03,880,-2 -2012,2,26,18,30,14,11,130,3.6,10,88.79,880,-4 -2012,2,26,19,30,0,0,0,5.300000000000001,8,100.93,890,-5 -2012,2,26,20,30,0,0,0,5.5,6,113.17,890,-4 -2012,2,26,21,30,0,0,0,5.1000000000000005,4,125.18,890,-4 -2012,2,26,22,30,0,0,0,4.800000000000001,4,136.52,890,-4 -2012,2,26,23,30,0,0,0,4.6000000000000005,3,146.25,890,-5 -2012,2,27,0,30,0,0,0,4.4,2,152.43,890,-6 -2012,2,27,1,30,0,0,0,4.2,2,152.48,890,-7 -2012,2,27,2,30,0,0,0,4.1000000000000005,1,146.37,890,-7 -2012,2,27,3,30,0,0,0,4.2,1,136.67000000000002,890,-8 -2012,2,27,4,30,0,0,0,4.7,2,125.34,890,-8 -2012,2,27,5,30,0,0,0,5.1000000000000005,3,113.32000000000001,890,-9 -2012,2,27,6,30,0,0,0,5.1000000000000005,3,101.07000000000001,890,-10 -2012,2,27,7,30,11,10,32,5,3,88.9,890,-10 -2012,2,27,8,30,144,77,299,5.7,5,77.10000000000001,890,-10 -2012,2,27,9,30,172,159,31,6.5,6,66.02,890,-10 -2012,2,27,10,30,44,44,0,6.6000000000000005,8,56.21,890,-8 -2012,2,27,11,30,315,286,43,6.5,9,48.53,890,-4 -2012,2,27,12,30,172,168,5,6.2,10,44.160000000000004,890,-1 -2012,2,27,13,30,261,249,16,5.9,11,44.1,890,0 -2012,2,27,14,30,250,238,17,5.6000000000000005,11,48.39,890,2 -2012,2,27,15,30,95,95,0,5.300000000000001,10,56.01,890,4 -2012,2,27,16,30,75,75,0,4.800000000000001,9,65.77,890,5 -2012,2,27,17,30,179,83,423,4.2,8,76.82000000000001,890,5 -2012,2,27,18,30,12,11,28,3.9000000000000004,8,88.60000000000001,890,6 -2012,2,27,19,30,0,0,0,4,7,100.76,890,7 -2012,2,27,20,30,0,0,0,4.2,7,112.99000000000001,890,7 -2012,2,27,21,30,0,0,0,4.5,7,124.99000000000001,890,7 -2012,2,27,22,30,0,0,0,4.800000000000001,8,136.29,890,7 -2012,2,27,23,30,0,0,0,5.1000000000000005,8,145.96,890,8 -2012,2,28,0,30,0,0,0,5.300000000000001,8,152.07,890,8 -2012,2,28,1,30,0,0,0,5.5,8,152.1,890,8 -2012,2,28,2,30,0,0,0,5.800000000000001,9,146.03,880,8 -2012,2,28,3,30,0,0,0,6,9,136.38,880,9 -2012,2,28,4,30,0,0,0,6.1000000000000005,10,125.08,880,9 -2012,2,28,5,30,0,0,0,6.2,10,113.07000000000001,880,9 -2012,2,28,6,30,0,0,0,6.1000000000000005,10,100.82000000000001,880,9 -2012,2,28,7,30,14,12,69,6.300000000000001,11,88.65,880,10 -2012,2,28,8,30,116,92,105,6.9,13,76.83,880,10 -2012,2,28,9,30,406,81,790,7.800000000000001,15,65.73,880,9 -2012,2,28,10,30,594,90,898,8.9,18,55.89,880,4 -2012,2,28,11,30,731,97,950,9.9,19,48.17,880,0 -2012,2,28,12,30,801,102,968,10.600000000000001,20,43.78,880,-1 -2012,2,28,13,30,801,104,965,11,21,43.74,880,-2 -2012,2,28,14,30,733,102,943,11.100000000000001,20,48.06,880,-4 -2012,2,28,15,30,602,97,896,11.100000000000001,19,55.730000000000004,880,-6 -2012,2,28,16,30,418,85,805,10.9,17,65.54,880,-8 -2012,2,28,17,30,205,63,614,10.5,14,76.62,880,-9 -2012,2,28,18,30,17,14,92,9.5,11,88.42,880,-11 -2012,2,28,19,30,0,0,0,7.9,9,100.58,880,-12 -2012,2,28,20,30,0,0,0,6.800000000000001,7,112.81,880,-12 -2012,2,28,21,30,0,0,0,6.5,6,124.8,880,-12 -2012,2,28,22,30,0,0,0,6,5,136.06,880,-11 -2012,2,28,23,30,0,0,0,5.1000000000000005,4,145.67000000000002,880,-11 -2012,3,1,0,30,0,0,0,3.8000000000000003,5,151.36,880,-10 -2012,3,1,1,30,0,0,0,4.2,5,151.34,880,-10 -2012,3,1,2,30,0,0,0,4.6000000000000005,4,145.35,880,-10 -2012,3,1,3,30,0,0,0,5,4,135.78,880,-10 -2012,3,1,4,30,0,0,0,5,3,124.54,880,-10 -2012,3,1,5,30,0,0,0,4.9,3,112.56,880,-10 -2012,3,1,6,30,0,0,0,5.1000000000000005,3,100.32000000000001,880,-10 -2012,3,1,7,30,17,15,58,5.4,5,88.12,880,-10 -2012,3,1,8,30,208,70,578,5.5,9,76.28,880,-10 -2012,3,1,9,30,427,93,793,6.5,13,65.13,880,-9 -2012,3,1,10,30,615,106,892,7.9,17,55.22,880,-10 -2012,3,1,11,30,750,113,941,7.9,19,47.44,880,-11 -2012,3,1,12,30,820,116,962,7.5,20,43.01,880,-11 -2012,3,1,13,30,819,115,962,7.2,21,43,880,-11 -2012,3,1,14,30,747,111,939,7.2,22,47.42,870,-11 -2012,3,1,15,30,611,101,893,7.300000000000001,21,55.18,870,-11 -2012,3,1,16,30,426,84,811,6.300000000000001,20,65.07000000000001,870,-11 -2012,3,1,17,30,210,62,622,4.2,16,76.22,870,-10 -2012,3,1,18,30,19,16,100,3.1,13,88.05,870,-8 -2012,3,1,19,30,0,0,0,3.8000000000000003,11,100.23,870,-7 -2012,3,1,20,30,0,0,0,4.9,10,112.45,870,-8 -2012,3,1,21,30,0,0,0,4.800000000000001,9,124.4,870,-8 -2012,3,1,22,30,0,0,0,4.6000000000000005,8,135.6,880,-7 -2012,3,1,23,30,0,0,0,5.2,7,145.09,880,-7 -2012,3,2,0,30,0,0,0,5.1000000000000005,6,151,880,-6 -2012,3,2,1,30,0,0,0,4.7,4,150.96,880,-6 -2012,3,2,2,30,0,0,0,4.3,3,145,880,-5 -2012,3,2,3,30,0,0,0,4.1000000000000005,2,135.48,880,-5 -2012,3,2,4,30,0,0,0,3.7,0,124.26,880,-5 -2012,3,2,5,30,0,0,0,3,0,112.3,880,-5 -2012,3,2,6,30,0,0,0,2.4000000000000004,0,100.06,880,-5 -2012,3,2,7,30,22,17,159,2.4000000000000004,0,87.86,880,-5 -2012,3,2,8,30,217,59,654,2.4000000000000004,1,76,880,-6 -2012,3,2,9,30,432,80,826,2.1,4,64.82000000000001,880,-6 -2012,3,2,10,30,612,98,893,1.7000000000000002,7,54.89,880,-6 -2012,3,2,11,30,636,232,594,1.2000000000000002,8,47.07,880,-7 -2012,3,2,12,30,583,358,305,1.1,9,42.63,880,-8 -2012,3,2,13,30,576,361,292,1,10,42.63,880,-7 -2012,3,2,14,30,228,219,12,1,9,47.09,880,-6 -2012,3,2,15,30,214,205,15,1.3,8,54.910000000000004,880,-5 -2012,3,2,16,30,145,142,4,2.2,7,64.84,880,-5 -2012,3,2,17,30,70,70,0,3.5,5,76.02,880,-5 -2012,3,2,18,30,7,7,0,4.6000000000000005,3,87.87,880,-5 -2012,3,2,19,30,0,0,0,4.9,2,100.05,890,-5 -2012,3,2,20,30,0,0,0,4.3,1,112.27,890,-5 -2012,3,2,21,30,0,0,0,3.2,1,124.2,890,-5 -2012,3,2,22,30,0,0,0,2.6,0,135.37,890,-5 -2012,3,2,23,30,0,0,0,2.1,0,144.8,890,-5 -2012,3,3,0,30,0,0,0,1.7000000000000002,0,150.63,890,-6 -2012,3,3,1,30,0,0,0,1.9000000000000001,-1,150.58,890,-6 -2012,3,3,2,30,0,0,0,2.4000000000000004,-1,144.65,890,-6 -2012,3,3,3,30,0,0,0,2.8000000000000003,-2,135.17000000000002,890,-7 -2012,3,3,4,30,0,0,0,2.6,-3,123.99000000000001,890,-7 -2012,3,3,5,30,0,0,0,2.4000000000000004,-3,112.03,890,-8 -2012,3,3,6,30,0,0,0,2.3000000000000003,-3,99.8,890,-8 -2012,3,3,7,30,26,26,0,2.4000000000000004,-1,87.59,890,-8 -2012,3,3,8,30,226,58,684,2.5,1,75.72,890,-9 -2012,3,3,9,30,446,76,859,2.6,4,64.52,890,-10 -2012,3,3,10,30,633,88,940,3.3000000000000003,6,54.550000000000004,890,-10 -2012,3,3,11,30,769,94,984,4.1000000000000005,7,46.7,890,-11 -2012,3,3,12,30,842,97,1006,4.9,8,42.24,890,-12 -2012,3,3,13,30,843,99,1005,5.5,9,42.26,890,-14 -2012,3,3,14,30,770,104,971,5.7,10,46.77,890,-16 -2012,3,3,15,30,640,85,959,5.6000000000000005,10,54.64,890,-18 -2012,3,3,16,30,451,72,884,4.6000000000000005,9,64.61,890,-19 -2012,3,3,17,30,226,59,682,2.7,6,75.82000000000001,890,-17 -2012,3,3,18,30,25,18,165,1.4000000000000001,3,87.69,890,-11 -2012,3,3,19,30,0,0,0,1.3,3,99.88,890,-11 -2012,3,3,20,30,0,0,0,1.2000000000000002,3,112.09,890,-12 -2012,3,3,21,30,0,0,0,1.1,4,124.01,890,-13 -2012,3,3,22,30,0,0,0,1.1,3,135.13,890,-13 -2012,3,3,23,30,0,0,0,1.4000000000000001,1,144.5,890,-13 -2012,3,4,0,30,0,0,0,1.7000000000000002,0,150.27,890,-12 -2012,3,4,1,30,0,0,0,2,0,150.19,890,-12 -2012,3,4,2,30,0,0,0,2.1,0,144.3,890,-11 -2012,3,4,3,30,0,0,0,2.2,-1,134.86,890,-10 -2012,3,4,4,30,0,0,0,2.2,-1,123.7,890,-9 -2012,3,4,5,30,0,0,0,2.2,-1,111.76,890,-8 -2012,3,4,6,30,0,0,0,2.5,-1,99.53,890,-8 -2012,3,4,7,30,29,19,204,3.3000000000000003,1,87.32000000000001,890,-8 -2012,3,4,8,30,228,58,675,3.4000000000000004,5,75.43,890,-8 -2012,3,4,9,30,445,77,845,2.8000000000000003,10,64.21000000000001,890,-7 -2012,3,4,10,30,630,88,927,3.1,15,54.21,890,-7 -2012,3,4,11,30,763,94,969,3.6,17,46.33,890,-8 -2012,3,4,12,30,826,107,964,3.5,18,41.85,890,-7 -2012,3,4,13,30,825,107,964,3.3000000000000003,19,41.89,890,-7 -2012,3,4,14,30,754,103,944,3,19,46.44,890,-7 -2012,3,4,15,30,624,87,922,2.7,18,54.370000000000005,890,-6 -2012,3,4,16,30,441,73,849,1.9000000000000001,17,64.39,890,-6 -2012,3,4,17,30,226,53,695,1.3,13,75.62,890,-1 -2012,3,4,18,30,27,17,229,1.4000000000000001,10,87.51,890,-2 -2012,3,4,19,30,0,0,0,1.5,8,99.7,890,-3 -2012,3,4,20,30,0,0,0,1.7000000000000002,7,111.91,890,-3 -2012,3,4,21,30,0,0,0,1.8,6,123.81,890,-4 -2012,3,4,22,30,0,0,0,1.8,5,134.89000000000001,890,-4 -2012,3,4,23,30,0,0,0,1.9000000000000001,4,144.20000000000002,890,-5 -2012,3,5,0,30,0,0,0,2,4,149.9,890,-6 -2012,3,5,1,30,0,0,0,2,3,149.8,890,-6 -2012,3,5,2,30,0,0,0,2,3,143.94,890,-7 -2012,3,5,3,30,0,0,0,1.9000000000000001,2,134.55,890,-8 -2012,3,5,4,30,0,0,0,1.9000000000000001,2,123.42,890,-8 -2012,3,5,5,30,0,0,0,1.9000000000000001,1,111.49000000000001,890,-8 -2012,3,5,6,30,0,0,0,1.9000000000000001,1,99.27,890,-8 -2012,3,5,7,30,32,21,218,2.8000000000000003,4,87.05,890,-8 -2012,3,5,8,30,236,59,689,3.4000000000000004,9,75.14,890,-8 -2012,3,5,9,30,455,77,859,4.2,14,63.9,890,-7 -2012,3,5,10,30,642,88,939,5.7,18,53.870000000000005,890,-7 -2012,3,5,11,30,776,96,977,6.4,20,45.96,890,-8 -2012,3,5,12,30,844,102,989,6.800000000000001,21,41.46,890,-8 -2012,3,5,13,30,842,105,985,7,22,41.52,890,-8 -2012,3,5,14,30,771,102,963,7,23,46.12,890,-9 -2012,3,5,15,30,641,84,950,6.6000000000000005,22,54.1,890,-9 -2012,3,5,16,30,453,74,869,5.4,21,64.16,890,-9 -2012,3,5,17,30,232,58,688,3.7,17,75.42,890,-8 -2012,3,5,18,30,29,20,187,3.2,14,87.33,890,-6 -2012,3,5,19,30,0,0,0,3.9000000000000004,13,99.53,890,-6 -2012,3,5,20,30,0,0,0,4.6000000000000005,12,111.73,890,-6 -2012,3,5,21,30,0,0,0,4.9,11,123.61,890,-7 -2012,3,5,22,30,0,0,0,5,10,134.66,890,-7 -2012,3,5,23,30,0,0,0,5,9,143.91,890,-6 -2012,3,6,0,30,0,0,0,5,8,149.53,880,-6 -2012,3,6,1,30,0,0,0,5.1000000000000005,7,149.41,880,-6 -2012,3,6,2,30,0,0,0,5.2,6,143.59,880,-5 -2012,3,6,3,30,0,0,0,5.1000000000000005,6,134.23,880,-5 -2012,3,6,4,30,0,0,0,4.9,6,123.13000000000001,880,-5 -2012,3,6,5,30,0,0,0,4.6000000000000005,6,111.22,880,-5 -2012,3,6,6,30,0,0,0,4.5,6,99,880,-5 -2012,3,6,7,30,33,23,178,4.6000000000000005,7,86.78,880,-5 -2012,3,6,8,30,200,73,489,4.6000000000000005,9,74.86,880,-5 -2012,3,6,9,30,375,141,526,4.4,13,63.59,880,-5 -2012,3,6,10,30,545,178,617,5.1000000000000005,18,53.53,880,-5 -2012,3,6,11,30,604,285,455,6.2,22,45.58,880,-7 -2012,3,6,12,30,754,228,697,6.800000000000001,24,41.06,880,-9 -2012,3,6,13,30,842,108,974,7.2,25,41.14,880,-10 -2012,3,6,14,30,771,101,961,7.5,26,45.800000000000004,880,-11 -2012,3,6,15,30,638,90,927,7.7,25,53.83,880,-11 -2012,3,6,16,30,451,77,849,7.5,24,63.93,880,-11 -2012,3,6,17,30,231,58,678,7.7,21,75.22,880,-8 -2012,3,6,18,30,30,20,207,8.3,18,87.15,880,-5 -2012,3,6,19,30,0,0,0,8.700000000000001,16,99.36,880,-2 -2012,3,6,20,30,0,0,0,8.6,14,111.55,880,0 -2012,3,6,21,30,0,0,0,8.200000000000001,12,123.41,880,3 -2012,3,6,22,30,0,0,0,7.800000000000001,11,134.42000000000002,880,4 -2012,3,6,23,30,0,0,0,7.7,11,143.6,880,5 -2012,3,7,0,30,0,0,0,7.5,10,149.17000000000002,880,4 -2012,3,7,1,30,0,0,0,7,10,149.02,880,4 -2012,3,7,2,30,0,0,0,6.800000000000001,9,143.23,880,4 -2012,3,7,3,30,0,0,0,6.9,9,133.91,880,3 -2012,3,7,4,30,0,0,0,6.7,8,122.84,880,2 -2012,3,7,5,30,0,0,0,5.9,8,110.94,880,0 -2012,3,7,6,30,0,0,0,5.1000000000000005,7,98.72,880,-1 -2012,3,7,7,30,33,23,156,4.9,8,86.5,880,-3 -2012,3,7,8,30,208,71,511,4.9,11,74.57000000000001,880,-4 -2012,3,7,9,30,465,78,858,5.4,16,63.28,880,-4 -2012,3,7,10,30,650,87,940,6.300000000000001,20,53.19,880,-6 -2012,3,7,11,30,671,237,616,6.4,22,45.21,880,-8 -2012,3,7,12,30,703,299,532,6.300000000000001,23,40.67,880,-9 -2012,3,7,13,30,616,364,332,6.4,24,40.77,880,-9 -2012,3,7,14,30,691,199,702,6.5,24,45.47,880,-10 -2012,3,7,15,30,643,91,929,6.4,24,53.56,880,-10 -2012,3,7,16,30,457,78,855,5.5,23,63.71,880,-10 -2012,3,7,17,30,238,59,692,3.8000000000000003,19,75.03,880,-8 -2012,3,7,18,30,33,21,239,3.2,15,86.97,880,-5 -2012,3,7,19,30,0,0,0,3.6,14,99.18,880,-5 -2012,3,7,20,30,0,0,0,3.3000000000000003,12,111.37,880,-5 -2012,3,7,21,30,0,0,0,2.5,11,123.21000000000001,880,-4 -2012,3,7,22,30,0,0,0,2.1,10,134.18,880,-3 -2012,3,7,23,30,0,0,0,1.3,9,143.3,880,-1 -2012,3,8,0,30,0,0,0,2,8,148.8,880,0 -2012,3,8,1,30,0,0,0,5.1000000000000005,5,148.62,880,0 -2012,3,8,2,30,0,0,0,7.5,3,142.86,890,0 -2012,3,8,3,30,0,0,0,8.5,2,133.59,890,-1 -2012,3,8,4,30,0,0,0,9,1,122.54,890,-2 -2012,3,8,5,30,0,0,0,9.1,1,110.66,890,-2 -2012,3,8,6,30,0,0,0,9.200000000000001,1,98.45,890,-3 -2012,3,8,7,30,18,18,0,9.4,1,86.22,890,-4 -2012,3,8,8,30,116,104,42,9.700000000000001,1,74.28,890,-5 -2012,3,8,9,30,50,50,0,10,3,62.96,890,-6 -2012,3,8,10,30,407,295,186,10,4,52.84,900,-8 -2012,3,8,11,30,501,354,207,9.600000000000001,5,44.83,900,-10 -2012,3,8,12,30,541,390,198,9.200000000000001,6,40.27,900,-11 -2012,3,8,13,30,470,383,113,8.700000000000001,7,40.4,900,-12 -2012,3,8,14,30,510,349,227,8.200000000000001,8,45.15,900,-12 -2012,3,8,15,30,368,285,138,7.6000000000000005,8,53.29,900,-13 -2012,3,8,16,30,188,175,30,7,7,63.49,900,-13 -2012,3,8,17,30,190,81,416,5.9,6,74.83,900,-14 -2012,3,8,18,30,32,23,159,4.6000000000000005,4,86.79,900,-13 -2012,3,8,19,30,0,0,0,3.9000000000000004,4,99.01,900,-13 -2012,3,8,20,30,0,0,0,3.2,3,111.19,900,-12 -2012,3,8,21,30,0,0,0,2.6,2,123.01,900,-11 -2012,3,8,22,30,0,0,0,2.5,2,133.93,900,-10 -2012,3,8,23,30,0,0,0,2.5,1,143,900,-10 -2012,3,9,0,30,0,0,0,2.4000000000000004,1,148.42000000000002,900,-9 -2012,3,9,1,30,0,0,0,2.3000000000000003,0,148.23,900,-9 -2012,3,9,2,30,0,0,0,2.4000000000000004,0,142.5,900,-8 -2012,3,9,3,30,0,0,0,2.3000000000000003,0,133.26,900,-6 -2012,3,9,4,30,0,0,0,1.8,0,122.25,900,-6 -2012,3,9,5,30,0,0,0,1.5,0,110.38,900,-6 -2012,3,9,6,30,0,0,0,2,0,98.18,900,-6 -2012,3,9,7,30,22,22,0,3.2,1,85.94,900,-7 -2012,3,9,8,30,128,111,60,4.7,4,73.98,900,-8 -2012,3,9,9,30,239,204,78,5.5,7,62.65,900,-12 -2012,3,9,10,30,647,109,883,5.300000000000001,9,52.49,900,-15 -2012,3,9,11,30,777,119,922,5.2,10,44.45,900,-16 -2012,3,9,12,30,844,122,940,5.1000000000000005,11,39.88,900,-16 -2012,3,9,13,30,841,122,939,4.9,12,40.02,900,-16 -2012,3,9,14,30,589,317,383,4.6000000000000005,12,44.83,900,-15 -2012,3,9,15,30,632,105,877,4.3,11,53.03,900,-14 -2012,3,9,16,30,447,89,794,3.9000000000000004,10,63.26,900,-13 -2012,3,9,17,30,232,67,623,2.8000000000000003,9,74.64,900,-13 -2012,3,9,18,30,35,23,196,1.8,7,86.61,900,-9 -2012,3,9,19,30,0,0,0,1.8,5,98.84,900,-8 -2012,3,9,20,30,0,0,0,1.9000000000000001,4,111.01,900,-8 -2012,3,9,21,30,0,0,0,1.9000000000000001,3,122.8,900,-8 -2012,3,9,22,30,0,0,0,1.8,3,133.69,900,-8 -2012,3,9,23,30,0,0,0,1.5,2,142.69,900,-8 -2012,3,10,0,30,0,0,0,1.2000000000000002,2,148.05,900,-7 -2012,3,10,1,30,0,0,0,1,1,147.83,900,-7 -2012,3,10,2,30,0,0,0,1.1,1,142.13,890,-7 -2012,3,10,3,30,0,0,0,1.6,0,132.93,890,-6 -2012,3,10,4,30,0,0,0,1.5,0,121.95,890,-5 -2012,3,10,5,30,0,0,0,0.8,0,110.10000000000001,890,-3 -2012,3,10,6,30,0,0,0,0.9,0,97.9,890,-2 -2012,3,10,7,30,4,4,0,1.9000000000000001,1,85.66,890,-1 -2012,3,10,8,30,22,22,0,2.9000000000000004,3,73.69,890,-1 -2012,3,10,9,30,74,74,0,3.3000000000000003,5,62.33,890,-1 -2012,3,10,10,30,148,148,1,3.6,6,52.15,890,0 -2012,3,10,11,30,160,156,4,4,7,44.07,890,0 -2012,3,10,12,30,161,157,5,4.5,7,39.480000000000004,890,0 -2012,3,10,13,30,143,141,2,4.7,7,39.65,890,0 -2012,3,10,14,30,163,159,4,4.5,7,44.51,890,1 -2012,3,10,15,30,93,93,0,4.2,6,52.76,890,1 -2012,3,10,16,30,141,141,0,3.9000000000000004,6,63.04,890,1 -2012,3,10,17,30,21,21,0,3.5,5,74.45,890,1 -2012,3,10,18,30,3,3,0,3,4,86.44,890,2 -2012,3,10,19,30,0,0,0,2.5,3,98.66,890,2 -2012,3,10,20,30,0,0,0,2.1,3,110.83,890,2 -2012,3,10,21,30,0,0,0,1.6,2,122.60000000000001,890,2 -2012,3,10,22,30,0,0,0,1.2000000000000002,1,133.45,890,1 -2012,3,10,23,30,0,0,0,1.3,1,142.39000000000001,890,1 -2012,3,11,0,30,0,0,0,2.1,1,147.68,890,1 -2012,3,11,1,30,0,0,0,2.9000000000000004,1,147.43,880,1 -2012,3,11,2,30,0,0,0,3.3000000000000003,0,141.76,880,0 -2012,3,11,3,30,0,0,0,3.3000000000000003,0,132.6,880,0 -2012,3,11,4,30,0,0,0,3.1,0,121.64,880,0 -2012,3,11,5,30,0,0,0,2.7,0,109.82000000000001,880,0 -2012,3,11,6,30,0,0,0,3,0,97.62,880,0 -2012,3,11,7,30,6,6,0,4.1000000000000005,1,85.38,880,0 -2012,3,11,8,30,34,34,0,5.1000000000000005,4,73.39,880,0 -2012,3,11,9,30,73,73,0,6,7,62.01,880,0 -2012,3,11,10,30,646,112,862,6.9,10,51.800000000000004,880,-1 -2012,3,11,11,30,456,363,128,7.5,13,43.69,880,-1 -2012,3,11,12,30,851,112,952,7.800000000000001,16,39.08,880,-2 -2012,3,11,13,30,851,110,957,8.1,18,39.27,880,-3 -2012,3,11,14,30,779,108,935,8.1,19,44.19,880,-4 -2012,3,11,15,30,643,103,887,7.7,19,52.5,880,-4 -2012,3,11,16,30,457,90,802,6.4,18,62.82,880,-5 -2012,3,11,17,30,241,68,638,4.3,15,74.26,880,-4 -2012,3,11,18,30,40,25,224,3.4000000000000004,12,86.26,880,-3 -2012,3,11,19,30,0,0,0,4.1000000000000005,10,98.49000000000001,880,-4 -2012,3,11,20,30,0,0,0,5,10,110.65,880,-4 -2012,3,11,21,30,0,0,0,5.5,10,122.39,880,-5 -2012,3,11,22,30,0,0,0,5.7,9,133.2,880,-6 -2012,3,11,23,30,0,0,0,5.9,8,142.08,880,-5 -2012,3,12,0,30,0,0,0,6,7,147.3,880,-5 -2012,3,12,1,30,0,0,0,6,7,147.03,880,-5 -2012,3,12,2,30,0,0,0,5.7,6,141.39000000000001,880,-5 -2012,3,12,3,30,0,0,0,5.1000000000000005,5,132.27,880,-5 -2012,3,12,4,30,0,0,0,4.800000000000001,5,121.34,880,-5 -2012,3,12,5,30,0,0,0,4.7,4,109.53,880,-5 -2012,3,12,6,30,0,0,0,4.9,4,97.34,880,-5 -2012,3,12,7,30,56,31,287,5.2,6,85.10000000000001,880,-5 -2012,3,12,8,30,268,70,680,5.2,10,73.10000000000001,890,-5 -2012,3,12,9,30,487,90,837,5,14,61.690000000000005,890,-5 -2012,3,12,10,30,674,101,918,4.5,19,51.45,890,-6 -2012,3,12,11,30,808,107,962,3.7,22,43.300000000000004,890,-7 -2012,3,12,12,30,878,106,988,3.3000000000000003,23,38.68,890,-8 -2012,3,12,13,30,876,106,989,3.3000000000000003,24,38.9,880,-8 -2012,3,12,14,30,802,103,970,3.3000000000000003,24,43.87,880,-8 -2012,3,12,15,30,665,96,929,3.4000000000000004,24,52.24,880,-8 -2012,3,12,16,30,475,83,851,2.7,22,62.61,880,-9 -2012,3,12,17,30,254,63,697,1.7000000000000002,18,74.07000000000001,880,-2 -2012,3,12,18,30,44,25,277,1.7000000000000002,14,86.09,880,-1 -2012,3,12,19,30,0,0,0,2,12,98.32000000000001,880,-3 -2012,3,12,20,30,0,0,0,2.7,11,110.47,890,-4 -2012,3,12,21,30,0,0,0,3.7,11,122.19,890,-5 -2012,3,12,22,30,0,0,0,4.6000000000000005,10,132.95,890,-6 -2012,3,12,23,30,0,0,0,4.7,9,141.77,890,-6 -2012,3,13,0,30,0,0,0,4.1000000000000005,8,146.93,890,-6 -2012,3,13,1,30,0,0,0,3.4000000000000004,7,146.63,890,-6 -2012,3,13,2,30,0,0,0,2.9000000000000004,6,141.01,890,-5 -2012,3,13,3,30,0,0,0,2.5,5,131.94,890,-5 -2012,3,13,4,30,0,0,0,2.2,4,121.04,890,-5 -2012,3,13,5,30,0,0,0,2,4,109.24000000000001,890,-5 -2012,3,13,6,30,0,0,0,2.1,5,97.06,890,-5 -2012,3,13,7,30,62,32,331,3,8,84.81,890,-5 -2012,3,13,8,30,246,68,605,3.5,12,72.8,890,-6 -2012,3,13,9,30,499,81,871,3.3000000000000003,17,61.38,890,-6 -2012,3,13,10,30,686,91,948,3.9000000000000004,21,51.1,890,-7 -2012,3,13,11,30,715,220,675,4.6000000000000005,24,42.92,890,-9 -2012,3,13,12,30,888,101,1002,5.1000000000000005,25,38.28,890,-10 -2012,3,13,13,30,886,98,1006,5.5,26,38.52,880,-10 -2012,3,13,14,30,813,92,994,5.7,26,43.56,880,-10 -2012,3,13,15,30,676,83,962,5.6000000000000005,26,51.980000000000004,880,-10 -2012,3,13,16,30,486,72,892,4.6000000000000005,24,62.39,880,-10 -2012,3,13,17,30,263,55,747,2.9000000000000004,20,73.88,880,-8 -2012,3,13,18,30,48,24,348,2.1,16,85.91,880,-4 -2012,3,13,19,30,0,0,0,2.4000000000000004,14,98.15,880,-4 -2012,3,13,20,30,0,0,0,2.8000000000000003,13,110.29,880,-4 -2012,3,13,21,30,0,0,0,3.3000000000000003,12,121.98,880,-4 -2012,3,13,22,30,0,0,0,3.8000000000000003,11,132.7,890,-3 -2012,3,13,23,30,0,0,0,4.2,11,141.46,890,-2 -2012,3,14,0,30,0,0,0,4.5,10,146.55,890,0 -2012,3,14,1,30,0,0,0,4.5,9,146.23,890,0 -2012,3,14,2,30,0,0,0,4.4,9,140.64000000000001,890,2 -2012,3,14,3,30,0,0,0,4.1000000000000005,9,131.6,890,2 -2012,3,14,4,30,0,0,0,3.7,8,120.73,890,3 -2012,3,14,5,30,0,0,0,3.2,7,108.95,890,3 -2012,3,14,6,30,0,0,0,3.2,8,96.77,890,3 -2012,3,14,7,30,64,34,315,3.5,10,84.52,890,2 -2012,3,14,8,30,158,122,118,3.3000000000000003,12,72.5,890,2 -2012,3,14,9,30,492,95,818,3.2,15,61.06,890,2 -2012,3,14,10,30,673,113,884,3.3000000000000003,18,50.75,890,2 -2012,3,14,11,30,801,127,915,3.3000000000000003,21,42.54,890,1 -2012,3,14,12,30,867,130,933,3.4000000000000004,23,37.88,890,0 -2012,3,14,13,30,867,119,951,3.7,24,38.15,880,-2 -2012,3,14,14,30,801,103,958,4.1000000000000005,25,43.24,880,-4 -2012,3,14,15,30,671,89,940,4.3,26,51.72,880,-6 -2012,3,14,16,30,485,76,876,3.4000000000000004,24,62.18,880,-8 -2012,3,14,17,30,264,58,733,2.3000000000000003,20,73.69,880,-4 -2012,3,14,18,30,50,25,340,2.2,16,85.74,880,-2 -2012,3,14,19,30,0,0,0,2.7,14,97.98,880,-3 -2012,3,14,20,30,0,0,0,3,13,110.10000000000001,880,-3 -2012,3,14,21,30,0,0,0,3.4000000000000004,12,121.78,890,-2 -2012,3,14,22,30,0,0,0,3.4000000000000004,11,132.46,890,-2 -2012,3,14,23,30,0,0,0,3.3000000000000003,10,141.15,890,-2 -2012,3,15,0,30,0,0,0,3,8,146.17000000000002,890,-3 -2012,3,15,1,30,0,0,0,2.5,7,145.83,890,-4 -2012,3,15,2,30,0,0,0,2.1,6,140.26,890,-5 -2012,3,15,3,30,0,0,0,2,5,131.26,890,-6 -2012,3,15,4,30,0,0,0,2,5,120.42,890,-7 -2012,3,15,5,30,0,0,0,2.2,5,108.66,890,-8 -2012,3,15,6,30,0,0,0,2.8000000000000003,6,96.49000000000001,890,-8 -2012,3,15,7,30,74,32,427,3.8000000000000003,8,84.24,890,-9 -2012,3,15,8,30,298,61,774,4,12,72.2,890,-9 -2012,3,15,9,30,521,77,908,3.3000000000000003,17,60.74,890,-8 -2012,3,15,10,30,707,87,972,3.1,22,50.4,890,-9 -2012,3,15,11,30,838,93,1004,3,25,42.15,890,-11 -2012,3,15,12,30,902,98,1012,3,26,37.480000000000004,890,-11 -2012,3,15,13,30,896,99,1007,3,27,37.77,890,-11 -2012,3,15,14,30,818,101,980,3,27,42.92,890,-11 -2012,3,15,15,30,677,97,932,2.8000000000000003,26,51.47,890,-11 -2012,3,15,16,30,486,86,850,1.9000000000000001,24,61.96,890,-10 -2012,3,15,17,30,264,66,695,1.2000000000000002,21,73.51,890,0 -2012,3,15,18,30,51,28,292,1.5,18,85.57000000000001,890,0 -2012,3,15,19,30,0,0,0,1.9000000000000001,16,97.81,890,-1 -2012,3,15,20,30,0,0,0,2.2,15,109.92,890,-2 -2012,3,15,21,30,0,0,0,2.3000000000000003,13,121.57000000000001,890,-3 -2012,3,15,22,30,0,0,0,2.5,12,132.2,890,-3 -2012,3,15,23,30,0,0,0,2.6,12,140.83,890,-4 -2012,3,16,0,30,0,0,0,2.6,11,145.8,890,-5 -2012,3,16,1,30,0,0,0,2.5,9,145.43,890,-6 -2012,3,16,2,30,0,0,0,2.5,8,139.89000000000001,890,-5 -2012,3,16,3,30,0,0,0,2.8000000000000003,7,130.92000000000002,890,-5 -2012,3,16,4,30,0,0,0,3.1,6,120.11,890,-4 -2012,3,16,5,30,0,0,0,3.5,6,108.36,890,-4 -2012,3,16,6,30,0,0,0,4,7,96.2,890,-5 -2012,3,16,7,30,76,34,395,4.5,9,83.95,890,-5 -2012,3,16,8,30,251,82,543,4.3,13,71.9,890,-5 -2012,3,16,9,30,516,83,876,4.5,18,60.42,890,-5 -2012,3,16,10,30,701,94,944,5.1000000000000005,23,50.050000000000004,890,-7 -2012,3,16,11,30,830,101,977,5.300000000000001,26,41.77,880,-9 -2012,3,16,12,30,892,104,987,5.300000000000001,27,37.08,880,-9 -2012,3,16,13,30,883,105,978,5.4,28,37.4,880,-9 -2012,3,16,14,30,805,103,954,5.6000000000000005,28,42.61,880,-8 -2012,3,16,15,30,667,97,909,5.7,27,51.21,880,-7 -2012,3,16,16,30,478,85,830,5,26,61.75,880,-7 -2012,3,16,17,30,259,66,675,3.4000000000000004,23,73.32000000000001,880,-5 -2012,3,16,18,30,51,28,285,2.7,19,85.4,880,-1 -2012,3,16,19,30,0,0,0,3.6,17,97.64,880,0 -2012,3,16,20,30,0,0,0,4.800000000000001,16,109.74000000000001,880,2 -2012,3,16,21,30,0,0,0,5,15,121.36,880,5 -2012,3,16,22,30,0,0,0,4.6000000000000005,14,131.95,880,7 -2012,3,16,23,30,0,0,0,4.5,13,140.52,880,10 -2012,3,17,0,30,0,0,0,4.6000000000000005,13,145.42000000000002,880,11 -2012,3,17,1,30,0,0,0,4.7,12,145.03,880,11 -2012,3,17,2,30,0,0,0,4.5,12,139.51,880,11 -2012,3,17,3,30,0,0,0,4.3,11,130.58,880,11 -2012,3,17,4,30,0,0,0,4.1000000000000005,11,119.79,880,11 -2012,3,17,5,30,0,0,0,4,10,108.07000000000001,880,9 -2012,3,17,6,30,0,0,0,4.2,10,95.91,880,9 -2012,3,17,7,30,80,35,404,4.5,11,83.66,880,8 -2012,3,17,8,30,303,63,758,4.5,14,71.60000000000001,880,5 -2012,3,17,9,30,525,77,897,4.800000000000001,19,60.1,880,2 -2012,3,17,10,30,711,85,966,5.7,24,49.7,880,-2 -2012,3,17,11,30,843,89,1004,6.2,27,41.38,880,-8 -2012,3,17,12,30,910,91,1021,6.5,28,36.68,880,-9 -2012,3,17,13,30,908,90,1025,6.9,28,37.03,880,-9 -2012,3,17,14,30,837,86,1015,7.1000000000000005,28,42.300000000000004,880,-10 -2012,3,17,15,30,701,80,985,7.1000000000000005,27,50.96,880,-12 -2012,3,17,16,30,508,71,918,6.5,26,61.54,880,-13 -2012,3,17,17,30,280,56,774,5,23,73.14,880,-12 -2012,3,17,18,30,60,26,401,4.2,20,85.23,880,-8 -2012,3,17,19,30,0,0,0,4.800000000000001,18,97.47,880,-6 -2012,3,17,20,30,0,0,0,5.4,17,109.56,880,-6 -2012,3,17,21,30,0,0,0,5.6000000000000005,16,121.15,880,-5 -2012,3,17,22,30,0,0,0,5.5,14,131.7,880,-3 -2012,3,17,23,30,0,0,0,5.800000000000001,13,140.20000000000002,880,-1 -2012,3,18,0,30,0,0,0,6,13,145.04,880,2 -2012,3,18,1,30,0,0,0,5.800000000000001,12,144.63,880,6 -2012,3,18,2,30,0,0,0,5.5,12,139.13,880,9 -2012,3,18,3,30,0,0,0,5.1000000000000005,12,130.24,880,11 -2012,3,18,4,30,0,0,0,5.300000000000001,12,119.48,880,11 -2012,3,18,5,30,0,0,0,5.6000000000000005,13,107.77,880,12 -2012,3,18,6,30,0,0,0,5.300000000000001,13,95.63,880,11 -2012,3,18,7,30,68,36,278,4.9,14,83.37,880,10 -2012,3,18,8,30,252,93,495,5.4,16,71.3,880,9 -2012,3,18,9,30,443,162,557,6.1000000000000005,19,59.78,880,9 -2012,3,18,10,30,673,124,843,6.5,21,49.35,880,7 -2012,3,18,11,30,724,269,602,6.9,23,40.99,880,5 -2012,3,18,12,30,753,317,540,7.4,24,36.28,880,3 -2012,3,18,13,30,730,338,488,8.1,26,36.65,880,1 -2012,3,18,14,30,695,279,559,8.5,27,41.99,870,0 -2012,3,18,15,30,575,208,579,8.6,27,50.71,870,-1 -2012,3,18,16,30,441,106,697,8.3,26,61.34,870,-2 -2012,3,18,17,30,199,105,317,7.300000000000001,24,72.96000000000001,870,-2 -2012,3,18,18,30,41,32,97,6.4,22,85.06,870,-1 -2012,3,18,19,30,0,0,0,5.5,20,97.3,870,0 -2012,3,18,20,30,0,0,0,5,18,109.38,880,1 -2012,3,18,21,30,0,0,0,4.800000000000001,16,120.95,880,2 -2012,3,18,22,30,0,0,0,4.2,14,131.45,880,3 -2012,3,18,23,30,0,0,0,3.7,14,139.89000000000001,880,4 -2012,3,19,0,30,0,0,0,3.6,13,144.66,880,5 -2012,3,19,1,30,0,0,0,4.1000000000000005,12,144.23,880,5 -2012,3,19,2,30,0,0,0,4.4,11,138.75,880,4 -2012,3,19,3,30,0,0,0,3.2,10,129.89000000000001,880,2 -2012,3,19,4,30,0,0,0,1.7000000000000002,10,119.17,880,2 -2012,3,19,5,30,0,0,0,1.2000000000000002,9,107.48,880,2 -2012,3,19,6,30,0,0,0,1.8,9,95.34,880,1 -2012,3,19,7,30,38,38,0,3.2,10,83.08,880,0 -2012,3,19,8,30,136,125,33,4.6000000000000005,11,71,880,-2 -2012,3,19,9,30,298,232,129,5.300000000000001,11,59.45,880,-3 -2012,3,19,10,30,361,308,81,5.5,11,48.99,880,-4 -2012,3,19,11,30,189,183,8,5.800000000000001,13,40.61,880,-5 -2012,3,19,12,30,549,422,157,6.1000000000000005,14,35.87,870,-6 -2012,3,19,13,30,491,408,102,6.300000000000001,15,36.28,870,-6 -2012,3,19,14,30,483,379,139,6.300000000000001,15,41.68,870,-6 -2012,3,19,15,30,564,221,538,6.2,14,50.46,870,-7 -2012,3,19,16,30,461,86,777,5.9,13,61.13,870,-7 -2012,3,19,17,30,265,78,633,5,12,72.78,870,-7 -2012,3,19,18,30,57,33,274,3.8000000000000003,10,84.89,880,-7 -2012,3,19,19,30,0,0,0,2.7,8,97.13,880,-6 -2012,3,19,20,30,0,0,0,2.5,6,109.19,880,-5 -2012,3,19,21,30,0,0,0,3.1,6,120.74000000000001,880,-6 -2012,3,19,22,30,0,0,0,3.1,5,131.19,880,-6 -2012,3,19,23,30,0,0,0,3.2,4,139.57,880,-7 -2012,3,20,0,30,0,0,0,3.7,3,144.28,870,-8 -2012,3,20,1,30,0,0,0,2.9000000000000004,2,143.82,870,-8 -2012,3,20,2,30,0,0,0,2.1,1,138.37,880,-8 -2012,3,20,3,30,0,0,0,2,0,129.55,880,-8 -2012,3,20,4,30,0,0,0,2.1,0,118.85000000000001,880,-8 -2012,3,20,5,30,0,0,0,2.1,0,107.18,880,-8 -2012,3,20,6,30,0,0,0,2.4000000000000004,0,95.05,880,-9 -2012,3,20,7,30,97,35,491,2.5,1,82.79,880,-9 -2012,3,20,8,30,323,62,790,1.2000000000000002,6,70.7,880,-9 -2012,3,20,9,30,544,77,910,0.9,10,59.13,880,-11 -2012,3,20,10,30,576,246,499,1.3,11,48.64,880,-11 -2012,3,20,11,30,679,310,483,0.6000000000000001,12,40.22,880,-11 -2012,3,20,12,30,697,365,407,1,13,35.47,880,-10 -2012,3,20,13,30,563,422,174,2.3000000000000003,13,35.910000000000004,880,-10 -2012,3,20,14,30,453,373,105,3.3000000000000003,12,41.37,880,-10 -2012,3,20,15,30,444,309,210,4,11,50.22,880,-9 -2012,3,20,16,30,106,106,0,4.6000000000000005,10,60.93,880,-7 -2012,3,20,17,30,57,57,0,4.9,9,72.60000000000001,880,-5 -2012,3,20,18,30,50,35,163,4.9,8,84.72,880,-3 -2012,3,20,19,30,0,0,0,4.5,7,96.96000000000001,880,-1 -2012,3,20,20,30,0,0,0,3.6,6,109.01,880,0 -2012,3,20,21,30,0,0,0,2.7,4,120.52,880,1 -2012,3,20,22,30,0,0,0,2.5,4,130.94,880,1 -2012,3,20,23,30,0,0,0,2.6,4,139.25,880,1 -2012,3,21,0,30,0,0,0,2.5,4,143.9,880,2 -2012,3,21,1,30,0,0,0,2.7,4,143.42000000000002,880,2 -2012,3,21,2,30,0,0,0,3.7,4,137.99,880,1 -2012,3,21,3,30,0,0,0,4.800000000000001,4,129.2,880,1 -2012,3,21,4,30,0,0,0,5.4,4,118.53,880,1 -2012,3,21,5,30,0,0,0,5.4,3,106.88,880,1 -2012,3,21,6,30,0,0,0,5.4,3,94.76,880,0 -2012,3,21,7,30,3,3,0,5.7,4,82.5,880,1 -2012,3,21,8,30,96,96,0,6.2,5,70.4,880,1 -2012,3,21,9,30,66,66,0,6.5,6,58.82,880,1 -2012,3,21,10,30,136,136,0,6.5,6,48.29,880,1 -2012,3,21,11,30,146,143,3,6.6000000000000005,6,39.84,880,1 -2012,3,21,12,30,217,207,11,6.4,7,35.07,880,1 -2012,3,21,13,30,189,181,9,6,7,35.54,880,1 -2012,3,21,14,30,404,355,65,5.5,6,41.07,880,1 -2012,3,21,15,30,176,173,5,4.7,6,49.97,880,1 -2012,3,21,16,30,217,198,39,3.9000000000000004,6,60.72,880,1 -2012,3,21,17,30,63,63,0,2.9000000000000004,6,72.42,880,2 -2012,3,21,18,30,26,26,0,1.7000000000000002,5,84.55,880,2 -2012,3,21,19,30,0,0,0,1.2000000000000002,4,96.79,880,2 -2012,3,21,20,30,0,0,0,1.7000000000000002,4,108.83,880,3 -2012,3,21,21,30,0,0,0,2.6,4,120.31,880,3 -2012,3,21,22,30,0,0,0,3.6,5,130.68,880,3 -2012,3,21,23,30,0,0,0,4.3,5,138.93,880,3 -2012,3,22,0,30,0,0,0,4.7,6,143.52,880,3 -2012,3,22,1,30,0,0,0,5.1000000000000005,6,143.02,880,3 -2012,3,22,2,30,0,0,0,5.7,6,137.61,880,3 -2012,3,22,3,30,0,0,0,6.5,6,128.86,880,3 -2012,3,22,4,30,0,0,0,7,6,118.22,880,2 -2012,3,22,5,30,0,0,0,6.9,6,106.58,880,1 -2012,3,22,6,30,0,0,0,6.9,6,94.47,880,1 -2012,3,22,7,30,42,42,0,7.1000000000000005,6,82.21000000000001,880,2 -2012,3,22,8,30,101,101,0,7,7,70.10000000000001,880,3 -2012,3,22,9,30,157,155,2,6.800000000000001,7,58.5,880,3 -2012,3,22,10,30,343,303,60,6.5,8,47.95,880,2 -2012,3,22,11,30,408,359,63,6,10,39.45,880,1 -2012,3,22,12,30,703,369,406,5.4,11,34.67,880,1 -2012,3,22,13,30,623,417,252,4.9,12,35.17,880,0 -2012,3,22,14,30,838,87,992,4.5,13,40.77,880,0 -2012,3,22,15,30,698,84,949,4.2,14,49.730000000000004,880,0 -2012,3,22,16,30,241,210,62,3.6,13,60.52,880,-1 -2012,3,22,17,30,69,69,0,2.2,11,72.24,880,-1 -2012,3,22,18,30,38,33,47,0.9,9,84.39,880,0 -2012,3,22,19,30,0,0,0,0.7000000000000001,9,96.62,880,0 -2012,3,22,20,30,0,0,0,0.7000000000000001,8,108.64,880,0 -2012,3,22,21,30,0,0,0,0.8,7,120.10000000000001,880,0 -2012,3,22,22,30,0,0,0,1,6,130.42000000000002,880,0 -2012,3,22,23,30,0,0,0,1.1,5,138.61,890,-1 -2012,3,23,0,30,0,0,0,1.2000000000000002,4,143.14000000000001,890,-1 -2012,3,23,1,30,0,0,0,1.4000000000000001,4,142.62,890,-1 -2012,3,23,2,30,0,0,0,1.6,4,137.23,890,-1 -2012,3,23,3,30,0,0,0,1.8,3,128.51,890,-1 -2012,3,23,4,30,0,0,0,1.9000000000000001,3,117.9,890,-1 -2012,3,23,5,30,0,0,0,2,2,106.28,890,-1 -2012,3,23,6,30,0,0,0,2.6,3,94.18,890,-1 -2012,3,23,7,30,108,36,514,3.2,6,81.92,890,0 -2012,3,23,8,30,331,61,782,3.2,10,69.81,890,0 -2012,3,23,9,30,548,75,897,3.2,15,58.18,890,1 -2012,3,23,10,30,730,84,958,3,18,47.6,890,2 -2012,3,23,11,30,859,88,992,2.6,20,39.07,890,2 -2012,3,23,12,30,921,95,1000,2.3000000000000003,21,34.27,890,1 -2012,3,23,13,30,915,94,1000,2,22,34.800000000000004,890,1 -2012,3,23,14,30,840,90,985,1.7000000000000002,23,40.47,880,0 -2012,3,23,15,30,704,80,959,1.4000000000000001,23,49.49,880,0 -2012,3,23,16,30,515,71,896,1,22,60.32,880,0 -2012,3,23,17,30,293,56,769,1,20,72.07000000000001,880,0 -2012,3,23,18,30,74,29,445,1.3,16,84.22,880,4 -2012,3,23,19,30,0,0,0,1.7000000000000002,13,96.45,880,2 -2012,3,23,20,30,0,0,0,2,12,108.46000000000001,890,1 -2012,3,23,21,30,0,0,0,2.3000000000000003,11,119.89,890,1 -2012,3,23,22,30,0,0,0,2.4000000000000004,10,130.16,890,1 -2012,3,23,23,30,0,0,0,2.3000000000000003,9,138.29,890,1 -2012,3,24,0,30,0,0,0,2.2,8,142.76,890,1 -2012,3,24,1,30,0,0,0,2.1,7,142.22,890,1 -2012,3,24,2,30,0,0,0,2,6,136.85,890,0 -2012,3,24,3,30,0,0,0,1.9000000000000001,5,128.16,890,0 -2012,3,24,4,30,0,0,0,1.9000000000000001,5,117.58,890,0 -2012,3,24,5,30,0,0,0,2,4,105.99000000000001,890,0 -2012,3,24,6,30,0,0,0,2.6,5,93.89,890,0 -2012,3,24,7,30,117,36,551,3.2,9,81.63,890,0 -2012,3,24,8,30,344,60,813,2.8000000000000003,13,69.51,890,0 -2012,3,24,9,30,564,72,925,2.3000000000000003,18,57.86,890,0 -2012,3,24,10,30,746,80,981,2.5,23,47.25,890,0 -2012,3,24,11,30,874,86,1009,3,27,38.69,890,-2 -2012,3,24,12,30,932,98,1004,3.4000000000000004,28,33.87,890,-3 -2012,3,24,13,30,924,99,999,3.7,29,34.44,880,-4 -2012,3,24,14,30,846,97,979,3.8000000000000003,29,40.17,880,-4 -2012,3,24,15,30,704,93,934,3.9000000000000004,29,49.25,880,-4 -2012,3,24,16,30,510,84,855,3.2,27,60.120000000000005,880,-4 -2012,3,24,17,30,286,68,700,2.3000000000000003,23,71.89,880,0 -2012,3,24,18,30,69,33,346,2.4000000000000004,19,84.05,880,2 -2012,3,24,19,30,0,0,0,3.2,17,96.28,880,0 -2012,3,24,20,30,0,0,0,3.9000000000000004,16,108.28,890,0 -2012,3,24,21,30,0,0,0,4.4,15,119.68,890,1 -2012,3,24,22,30,0,0,0,4.5,13,129.9,890,2 -2012,3,24,23,30,0,0,0,4.3,12,137.97,890,3 -2012,3,25,0,30,0,0,0,3.9000000000000004,11,142.38,890,3 -2012,3,25,1,30,0,0,0,3.3000000000000003,10,141.82,890,4 -2012,3,25,2,30,0,0,0,2.5,8,136.47,890,3 -2012,3,25,3,30,0,0,0,2,8,127.82000000000001,890,3 -2012,3,25,4,30,0,0,0,1.8,7,117.26,890,2 -2012,3,25,5,30,0,0,0,1.7000000000000002,7,105.69,890,1 -2012,3,25,6,30,0,0,0,2.1,8,93.60000000000001,890,0 -2012,3,25,7,30,115,43,479,3,12,81.35000000000001,890,0 -2012,3,25,8,30,338,72,747,3.3000000000000003,16,69.21000000000001,890,0 -2012,3,25,9,30,554,89,867,3.8000000000000003,20,57.54,890,0 -2012,3,25,10,30,733,100,926,5,25,46.9,890,0 -2012,3,25,11,30,857,107,954,5.7,28,38.31,890,0 -2012,3,25,12,30,918,106,973,6,29,33.47,890,1 -2012,3,25,13,30,908,108,965,6.300000000000001,30,34.07,890,1 -2012,3,25,14,30,829,108,939,6.4,30,39.87,880,1 -2012,3,25,15,30,688,104,890,6.300000000000001,29,49.01,880,2 -2012,3,25,16,30,498,94,806,6,28,59.93,880,2 -2012,3,25,17,30,280,75,656,5.1000000000000005,25,71.72,880,2 -2012,3,25,18,30,70,37,316,4.2,22,83.89,880,3 -2012,3,25,19,30,0,0,0,4.4,19,96.11,890,4 -2012,3,25,20,30,0,0,0,4.800000000000001,18,108.09,890,4 -2012,3,25,21,30,0,0,0,4.9,17,119.46000000000001,890,4 -2012,3,25,22,30,0,0,0,4.9,15,129.64000000000001,890,4 -2012,3,25,23,30,0,0,0,4.800000000000001,14,137.65,890,4 -2012,3,26,0,30,0,0,0,4.7,14,142.01,890,4 -2012,3,26,1,30,0,0,0,4.5,13,141.42000000000002,890,4 -2012,3,26,2,30,0,0,0,4.2,12,136.09,890,5 -2012,3,26,3,30,0,0,0,3.9000000000000004,12,127.47,890,5 -2012,3,26,4,30,0,0,0,3.7,11,116.94,890,5 -2012,3,26,5,30,0,0,0,3.7,11,105.39,890,6 -2012,3,26,6,30,0,0,0,4.1000000000000005,12,93.31,890,6 -2012,3,26,7,30,95,50,292,5.1000000000000005,14,81.06,890,6 -2012,3,26,8,30,287,108,498,6.4,17,68.91,890,6 -2012,3,26,9,30,453,194,477,7.1000000000000005,20,57.230000000000004,890,7 -2012,3,26,10,30,535,320,313,7.2,23,46.56,890,7 -2012,3,26,11,30,770,272,631,7.2,25,37.92,880,7 -2012,3,26,12,30,780,359,502,7.1000000000000005,26,33.07,880,7 -2012,3,26,13,30,754,358,475,6.9,27,33.71,880,6 -2012,3,26,14,30,432,372,77,6.800000000000001,26,39.58,880,6 -2012,3,26,15,30,418,321,146,6.7,25,48.78,880,6 -2012,3,26,16,30,417,180,470,6.5,24,59.730000000000004,880,7 -2012,3,26,17,30,266,100,523,5.9,23,71.55,880,7 -2012,3,26,18,30,20,20,0,5.6000000000000005,21,83.72,880,8 -2012,3,26,19,30,0,0,0,5.9,19,95.94,880,9 -2012,3,26,20,30,0,0,0,6.4,18,107.91,880,9 -2012,3,26,21,30,0,0,0,6.800000000000001,18,119.25,880,10 -2012,3,26,22,30,0,0,0,6.6000000000000005,17,129.38,880,10 -2012,3,26,23,30,0,0,0,6.2,16,137.33,880,11 -2012,3,27,0,30,0,0,0,6.1000000000000005,15,141.63,880,11 -2012,3,27,1,30,0,0,0,5.7,14,141.02,880,11 -2012,3,27,2,30,0,0,0,5.1000000000000005,12,135.71,880,10 -2012,3,27,3,30,0,0,0,4.4,11,127.12,880,9 -2012,3,27,4,30,0,0,0,3.8000000000000003,10,116.63,880,5 -2012,3,27,5,30,0,0,0,3.3000000000000003,8,105.09,880,1 -2012,3,27,6,30,0,0,0,3.5,9,93.02,880,-1 -2012,3,27,7,30,122,52,436,4.1000000000000005,12,80.77,880,-2 -2012,3,27,8,30,349,86,720,4.1000000000000005,16,68.62,880,-3 -2012,3,27,9,30,569,106,848,4,21,56.92,880,-3 -2012,3,27,10,30,752,119,915,3.7,24,46.21,880,-5 -2012,3,27,11,30,882,126,952,3.3000000000000003,27,37.54,880,-6 -2012,3,27,12,30,945,130,968,3.1,28,32.67,880,-7 -2012,3,27,13,30,938,130,967,3.3000000000000003,29,33.35,880,-7 -2012,3,27,14,30,860,126,949,3.6,29,39.28,880,-8 -2012,3,27,15,30,719,117,909,3.6,29,48.550000000000004,880,-9 -2012,3,27,16,30,525,102,834,2.9000000000000004,28,59.54,880,-10 -2012,3,27,17,30,299,81,683,1.9000000000000001,24,71.38,880,-4 -2012,3,27,18,30,77,41,321,1.6,19,83.56,880,1 -2012,3,27,19,30,0,0,0,1.9000000000000001,16,95.78,880,-2 -2012,3,27,20,30,0,0,0,2.2,15,107.72,880,-3 -2012,3,27,21,30,0,0,0,2.4000000000000004,14,119.03,880,-4 -2012,3,27,22,30,0,0,0,2.6,13,129.12,880,-5 -2012,3,27,23,30,0,0,0,2.8000000000000003,12,137.01,880,-5 -2012,3,28,0,30,0,0,0,3,12,141.25,880,-5 -2012,3,28,1,30,0,0,0,3.5,11,140.62,880,-5 -2012,3,28,2,30,0,0,0,3.4000000000000004,10,135.33,880,-5 -2012,3,28,3,30,0,0,0,2.9000000000000004,9,126.78,880,-5 -2012,3,28,4,30,0,0,0,2.4000000000000004,8,116.31,880,-4 -2012,3,28,5,30,0,0,0,2.2,7,104.79,890,-4 -2012,3,28,6,30,0,0,0,2.6,8,92.74,890,-4 -2012,3,28,7,30,84,60,147,3.3000000000000003,12,80.48,890,-4 -2012,3,28,8,30,315,87,617,3.1,16,68.33,890,-5 -2012,3,28,9,30,579,102,866,2.3000000000000003,20,56.6,890,-4 -2012,3,28,10,30,762,112,932,1.4000000000000001,25,45.87,890,-7 -2012,3,28,11,30,889,119,965,1.2000000000000002,27,37.160000000000004,880,-8 -2012,3,28,12,30,949,123,976,2,28,32.27,880,-8 -2012,3,28,13,30,939,124,971,2.9000000000000004,29,32.99,880,-8 -2012,3,28,14,30,859,121,950,3.5,30,38.99,880,-8 -2012,3,28,15,30,716,113,907,3.8000000000000003,29,48.32,880,-9 -2012,3,28,16,30,524,99,832,3.3000000000000003,28,59.35,880,-9 -2012,3,28,17,30,300,78,689,2.1,24,71.21000000000001,880,-5 -2012,3,28,18,30,80,40,348,1.6,20,83.4,880,0 -2012,3,28,19,30,0,0,0,2.1,17,95.61,880,-1 -2012,3,28,20,30,0,0,0,2.9000000000000004,16,107.54,880,-1 -2012,3,28,21,30,0,0,0,4.2,15,118.82000000000001,880,-1 -2012,3,28,22,30,0,0,0,5.1000000000000005,14,128.86,880,1 -2012,3,28,23,30,0,0,0,5.1000000000000005,14,136.69,880,3 -2012,3,29,0,30,0,0,0,4.9,13,140.87,880,6 -2012,3,29,1,30,0,0,0,4.7,13,140.23,880,7 -2012,3,29,2,30,0,0,0,4.6000000000000005,12,134.95,880,7 -2012,3,29,3,30,0,0,0,4.3,11,126.43,880,7 -2012,3,29,4,30,0,0,0,3.9000000000000004,10,115.99000000000001,880,7 -2012,3,29,5,30,0,0,0,3.6,10,104.49000000000001,880,7 -2012,3,29,6,30,0,0,0,3.9000000000000004,10,92.45,880,6 -2012,3,29,7,30,130,52,461,4.2,13,80.2,880,6 -2012,3,29,8,30,358,82,737,4.3,17,68.03,880,4 -2012,3,29,9,30,578,98,864,4.2,21,56.29,880,0 -2012,3,29,10,30,761,110,929,3.8000000000000003,25,45.53,880,-4 -2012,3,29,11,30,889,117,964,3.4000000000000004,27,36.79,880,-8 -2012,3,29,12,30,952,121,978,3,28,31.88,880,-8 -2012,3,29,13,30,943,121,976,2.7,29,32.63,880,-8 -2012,3,29,14,30,864,119,955,2.6,29,38.71,880,-8 -2012,3,29,15,30,721,112,911,2.7,29,48.09,880,-9 -2012,3,29,16,30,526,101,828,2.2,28,59.160000000000004,880,-9 -2012,3,29,17,30,300,82,672,1.4000000000000001,25,71.04,880,-4 -2012,3,29,18,30,81,42,325,1.1,22,83.24,880,1 -2012,3,29,19,30,0,0,0,1.2000000000000002,20,95.44,880,-3 -2012,3,29,20,30,0,0,0,1.2000000000000002,18,107.35000000000001,880,-3 -2012,3,29,21,30,0,0,0,1.3,16,118.60000000000001,880,-2 -2012,3,29,22,30,0,0,0,1.5,14,128.6,880,-1 -2012,3,29,23,30,0,0,0,1.8,12,136.36,880,0 -2012,3,30,0,30,0,0,0,1.8,10,140.5,880,1 -2012,3,30,1,30,0,0,0,1.5,10,139.83,880,3 -2012,3,30,2,30,0,0,0,1.2000000000000002,9,134.58,880,4 -2012,3,30,3,30,0,0,0,1.2000000000000002,8,126.09,880,5 -2012,3,30,4,30,0,0,0,1.2000000000000002,7,115.67,880,6 -2012,3,30,5,30,0,0,0,1.5,7,104.19,880,6 -2012,3,30,6,30,0,0,0,2.7,8,92.16,880,7 -2012,3,30,7,30,65,61,17,3.7,11,79.91,880,8 -2012,3,30,8,30,173,155,48,3.7,15,67.74,880,9 -2012,3,30,9,30,565,108,817,3.6,18,55.980000000000004,880,9 -2012,3,30,10,30,740,123,876,3.5,21,45.19,880,8 -2012,3,30,11,30,862,135,903,3.4000000000000004,24,36.410000000000004,880,5 -2012,3,30,12,30,921,140,915,3.2,25,31.48,880,3 -2012,3,30,13,30,912,140,912,2.9000000000000004,26,32.27,880,2 -2012,3,30,14,30,836,133,896,2.4000000000000004,27,38.42,880,1 -2012,3,30,15,30,699,121,860,2,27,47.870000000000005,880,0 -2012,3,30,16,30,511,106,787,1.5,26,58.97,880,0 -2012,3,30,17,30,293,84,636,1,24,70.87,880,0 -2012,3,30,18,30,80,44,296,1.1,20,83.07000000000001,880,5 -2012,3,30,19,30,0,0,0,1.4000000000000001,17,95.27,880,3 -2012,3,30,20,30,0,0,0,1.5,15,107.17,880,3 -2012,3,30,21,30,0,0,0,1.7000000000000002,14,118.38,880,3 -2012,3,30,22,30,0,0,0,1.8,13,128.33,880,4 -2012,3,30,23,30,0,0,0,1.8,12,136.04,880,4 -2012,3,31,0,30,0,0,0,1.7000000000000002,11,140.12,880,4 -2012,3,31,1,30,0,0,0,1.5,10,139.44,880,4 -2012,3,31,2,30,0,0,0,1.4000000000000001,10,134.2,880,4 -2012,3,31,3,30,0,0,0,1.3,9,125.74000000000001,880,3 -2012,3,31,4,30,0,0,0,1.3,9,115.36,880,3 -2012,3,31,5,30,0,0,0,1.3,9,103.9,880,2 -2012,3,31,6,30,0,0,0,1.4000000000000001,10,91.88,880,1 -2012,3,31,7,30,141,51,498,1.9000000000000001,14,79.63,880,2 -2012,3,31,8,30,317,108,543,2.4000000000000004,18,67.45,880,1 -2012,3,31,9,30,579,93,860,2.8000000000000003,23,55.68,880,2 -2012,3,31,10,30,755,105,917,3.2,27,44.86,880,0 -2012,3,31,11,30,878,111,949,3.5,29,36.04,880,0 -2012,3,31,12,30,937,114,961,3.9000000000000004,30,31.09,880,-1 -2012,3,31,13,30,928,112,961,4.3,31,31.92,880,-1 -2012,3,31,14,30,852,108,945,4.6000000000000005,31,38.14,880,-2 -2012,3,31,15,30,710,106,896,4.7,31,47.64,880,-2 -2012,3,31,16,30,521,95,822,4.1000000000000005,30,58.79,880,-3 -2012,3,31,17,30,301,75,683,2.7,26,70.7,880,-2 -2012,3,31,18,30,85,40,368,1.9000000000000001,22,82.91,880,2 -2012,3,31,19,30,0,0,0,2,20,95.11,880,1 -2012,3,31,20,30,0,0,0,2.3000000000000003,19,106.98,880,0 -2012,3,31,21,30,0,0,0,2.5,18,118.17,880,0 -2012,3,31,22,30,0,0,0,2.9000000000000004,17,128.07,880,0 -2012,3,31,23,30,0,0,0,3.3000000000000003,16,135.72,880,-1 -2012,4,1,0,30,0,0,0,3.6,15,139.75,880,-2 -2012,4,1,1,30,0,0,0,3.5,14,139.04,880,-2 -2012,4,1,2,30,0,0,0,3.4000000000000004,13,133.82,880,-2 -2012,4,1,3,30,0,0,0,3.6,13,125.4,880,-2 -2012,4,1,4,30,0,0,0,3.7,12,115.04,880,-2 -2012,4,1,5,30,0,0,0,3.8000000000000003,12,103.60000000000001,880,-3 -2012,4,1,6,30,0,0,0,4.3,13,91.59,880,-3 -2012,4,1,7,30,151,45,574,4.6000000000000005,15,79.35000000000001,880,-3 -2012,4,1,8,30,379,68,801,4.2,20,67.16,880,-2 -2012,4,1,9,30,596,82,903,4.1000000000000005,25,55.370000000000005,880,-3 -2012,4,1,10,30,776,92,959,4.6000000000000005,28,44.52,880,-6 -2012,4,1,11,30,903,98,990,5.5,30,35.660000000000004,880,-7 -2012,4,1,12,30,967,100,1008,6.300000000000001,31,30.7,870,-8 -2012,4,1,13,30,960,101,1008,6.9,31,31.560000000000002,870,-9 -2012,4,1,14,30,883,99,993,7.2,31,37.86,870,-9 -2012,4,1,15,30,741,93,957,7.300000000000001,30,47.42,870,-9 -2012,4,1,16,30,546,83,889,6.7,29,58.61,870,-9 -2012,4,1,17,30,320,67,758,4.9,27,70.54,870,-9 -2012,4,1,18,30,94,38,443,3.4000000000000004,22,82.75,870,-6 -2012,4,1,19,30,0,0,0,3.9000000000000004,20,94.94,870,-5 -2012,4,1,20,30,0,0,0,5,19,106.8,870,-6 -2012,4,1,21,30,0,0,0,5.7,18,117.95,870,-7 -2012,4,1,22,30,0,0,0,5.800000000000001,17,127.81,870,-8 -2012,4,1,23,30,0,0,0,5.4,16,135.4,870,-9 -2012,4,2,0,30,0,0,0,5.1000000000000005,15,139.37,870,-9 -2012,4,2,1,30,0,0,0,4.800000000000001,14,138.65,870,-8 -2012,4,2,2,30,0,0,0,4.1000000000000005,13,133.45,870,-7 -2012,4,2,3,30,0,0,0,3.2,12,125.05,870,-6 -2012,4,2,4,30,0,0,0,2.4000000000000004,10,114.73,870,-4 -2012,4,2,5,30,0,0,0,2,9,103.31,870,-3 -2012,4,2,6,30,0,0,0,2.5,10,91.31,870,-3 -2012,4,2,7,30,155,52,543,3.3000000000000003,14,79.07000000000001,870,-3 -2012,4,2,8,30,385,79,779,4,18,66.88,870,-3 -2012,4,2,9,30,601,95,884,4.3,22,55.07,870,-4 -2012,4,2,10,30,778,106,936,4.1000000000000005,24,44.19,870,-5 -2012,4,2,11,30,898,115,959,4.1000000000000005,25,35.29,870,-6 -2012,4,2,12,30,953,124,959,4.6000000000000005,26,30.310000000000002,870,-6 -2012,4,2,13,30,942,125,954,5.5,27,31.21,870,-7 -2012,4,2,14,30,863,122,935,6.4,26,37.58,870,-7 -2012,4,2,15,30,513,322,280,7.1000000000000005,25,47.2,870,-8 -2012,4,2,16,30,71,71,0,7.5,24,58.42,870,-8 -2012,4,2,17,30,211,134,229,6.7,21,70.37,870,-10 -2012,4,2,18,30,67,49,145,4.5,17,82.59,870,-10 -2012,4,2,19,30,0,0,0,2.9000000000000004,14,94.77,870,-8 -2012,4,2,20,30,0,0,0,2.6,12,106.61,880,-7 -2012,4,2,21,30,0,0,0,2.5,11,117.73,880,-7 -2012,4,2,22,30,0,0,0,2.5,10,127.54,880,-5 -2012,4,2,23,30,0,0,0,2.5,9,135.08,880,-4 -2012,4,3,0,30,0,0,0,2.4000000000000004,8,139,880,-1 -2012,4,3,1,30,0,0,0,2.7,7,138.26,880,0 -2012,4,3,2,30,0,0,0,3,7,133.08,880,2 -2012,4,3,3,30,0,0,0,2.4000000000000004,6,124.71000000000001,880,3 -2012,4,3,4,30,0,0,0,1.6,6,114.41,880,4 -2012,4,3,5,30,0,0,0,1.1,6,103.02,880,4 -2012,4,3,6,30,0,0,0,1.2000000000000002,6,91.03,880,4 -2012,4,3,7,30,36,36,0,1.4000000000000001,8,78.79,880,5 -2012,4,3,8,30,175,158,44,1,11,66.59,880,5 -2012,4,3,9,30,197,190,11,1.1,14,54.77,880,3 -2012,4,3,10,30,313,291,30,1.7000000000000002,16,43.86,880,1 -2012,4,3,11,30,364,337,32,1.8,17,34.92,880,0 -2012,4,3,12,30,698,425,314,2,17,29.92,880,0 -2012,4,3,13,30,821,360,536,2.7,17,30.86,880,-1 -2012,4,3,14,30,152,148,5,3.7,16,37.300000000000004,880,-1 -2012,4,3,15,30,700,147,812,5.1000000000000005,15,46.99,880,0 -2012,4,3,16,30,464,146,603,6.1000000000000005,13,58.24,880,1 -2012,4,3,17,30,172,139,98,6.300000000000001,11,70.21000000000001,880,2 -2012,4,3,18,30,88,48,305,5.4,9,82.44,880,2 -2012,4,3,19,30,0,0,0,4.4,8,94.61,880,2 -2012,4,3,20,30,0,0,0,3.8000000000000003,7,106.42,890,2 -2012,4,3,21,30,0,0,0,3.5,6,117.51,890,2 -2012,4,3,22,30,0,0,0,2.9000000000000004,5,127.28,890,2 -2012,4,3,23,30,0,0,0,2.4000000000000004,5,134.75,890,2 -2012,4,4,0,30,0,0,0,2,4,138.63,890,2 -2012,4,4,1,30,0,0,0,1.9000000000000001,4,137.87,880,2 -2012,4,4,2,30,0,0,0,1.9000000000000001,3,132.71,880,2 -2012,4,4,3,30,0,0,0,2.3000000000000003,3,124.37,880,1 -2012,4,4,4,30,0,0,0,2.9000000000000004,4,114.10000000000001,880,1 -2012,4,4,5,30,0,0,0,3.1,4,102.72,880,1 -2012,4,4,6,30,0,0,0,3.3000000000000003,4,90.74,880,0 -2012,4,4,7,30,64,64,0,4.2,6,78.51,880,0 -2012,4,4,8,30,221,172,123,5,9,66.31,880,0 -2012,4,4,9,30,384,276,185,5.4,11,54.47,880,0 -2012,4,4,10,30,307,287,28,5.4,12,43.53,880,-1 -2012,4,4,11,30,734,333,487,5.300000000000001,14,34.56,880,0 -2012,4,4,12,30,954,113,966,5.4,15,29.53,880,0 -2012,4,4,13,30,658,444,248,5.7,16,30.52,880,0 -2012,4,4,14,30,863,109,944,5.9,16,37.03,880,0 -2012,4,4,15,30,624,234,569,5.800000000000001,16,46.77,880,0 -2012,4,4,16,30,361,237,234,5.4,16,58.06,880,0 -2012,4,4,17,30,310,77,683,4.1000000000000005,15,70.05,880,0 -2012,4,4,18,30,94,42,384,2.2,12,82.28,880,1 -2012,4,4,19,30,0,0,0,1.3,10,94.44,880,1 -2012,4,4,20,30,0,0,0,1.3,8,106.24000000000001,880,1 -2012,4,4,21,30,0,0,0,1.2000000000000002,7,117.29,880,1 -2012,4,4,22,30,0,0,0,1.1,6,127.01,880,1 -2012,4,4,23,30,0,0,0,1,6,134.43,880,2 -2012,4,5,0,30,0,0,0,0.8,5,138.26,880,2 -2012,4,5,1,30,0,0,0,0.7000000000000001,5,137.49,880,2 -2012,4,5,2,30,0,0,0,0.6000000000000001,5,132.34,880,3 -2012,4,5,3,30,0,0,0,0.6000000000000001,4,124.03,880,2 -2012,4,5,4,30,0,0,0,0.6000000000000001,4,113.79,880,2 -2012,4,5,5,30,0,0,0,0.5,4,102.43,880,2 -2012,4,5,6,30,0,0,0,0.6000000000000001,5,90.46000000000001,880,2 -2012,4,5,7,30,163,56,527,1.1,7,78.24,880,2 -2012,4,5,8,30,388,82,753,1.8,11,66.03,880,2 -2012,4,5,9,30,602,98,861,1.9000000000000001,14,54.17,880,2 -2012,4,5,10,30,778,108,919,1.5,18,43.21,880,1 -2012,4,5,11,30,900,115,949,0.9,21,34.19,880,0 -2012,4,5,12,30,958,117,963,0.5,23,29.14,880,0 -2012,4,5,13,30,947,116,961,0.4,24,30.17,880,0 -2012,4,5,14,30,868,111,944,0.6000000000000001,25,36.76,880,-1 -2012,4,5,15,30,728,102,910,1.2000000000000002,26,46.56,880,-1 -2012,4,5,16,30,539,72,878,2.3000000000000003,25,57.89,880,-1 -2012,4,5,17,30,244,123,352,3.2,23,69.89,880,-1 -2012,4,5,18,30,93,43,360,4.1000000000000005,19,82.12,880,0 -2012,4,5,19,30,0,0,0,5.2,17,94.27,880,1 -2012,4,5,20,30,0,0,0,5.7,15,106.05,880,2 -2012,4,5,21,30,0,0,0,5.300000000000001,13,117.08,880,4 -2012,4,5,22,30,0,0,0,4.6000000000000005,12,126.75,880,4 -2012,4,5,23,30,0,0,0,4.3,11,134.11,880,5 -2012,4,6,0,30,0,0,0,4.3,10,137.89000000000001,880,5 -2012,4,6,1,30,0,0,0,4.2,9,137.1,880,6 -2012,4,6,2,30,0,0,0,4.1000000000000005,8,131.97,880,6 -2012,4,6,3,30,0,0,0,3.9000000000000004,8,123.7,880,7 -2012,4,6,4,30,0,0,0,4,7,113.48,880,7 -2012,4,6,5,30,0,0,0,4.3,7,102.14,890,7 -2012,4,6,6,30,0,0,0,4.800000000000001,8,90.19,890,7 -2012,4,6,7,30,7,7,0,5.4,9,77.97,890,7 -2012,4,6,8,30,74,74,0,5.800000000000001,11,65.75,890,8 -2012,4,6,9,30,152,151,1,6,15,53.88,890,8 -2012,4,6,10,30,380,335,61,6.1000000000000005,18,42.88,890,8 -2012,4,6,11,30,363,337,31,6.2,21,33.83,880,8 -2012,4,6,12,30,635,445,217,6.300000000000001,24,28.76,880,8 -2012,4,6,13,30,629,454,202,6.300000000000001,26,29.830000000000002,880,8 -2012,4,6,14,30,850,122,906,6.2,27,36.49,880,7 -2012,4,6,15,30,707,125,842,6,28,46.35,880,6 -2012,4,6,16,30,522,110,771,5.300000000000001,27,57.71,880,4 -2012,4,6,17,30,292,80,612,3.5,25,69.73,880,2 -2012,4,6,18,30,89,50,278,2,20,81.96000000000001,880,4 -2012,4,6,19,30,0,0,0,2,17,94.11,880,4 -2012,4,6,20,30,0,0,0,2.2,16,105.87,880,3 -2012,4,6,21,30,0,0,0,2.5,15,116.86,880,3 -2012,4,6,22,30,0,0,0,2.7,14,126.48,880,2 -2012,4,6,23,30,0,0,0,2.4000000000000004,13,133.79,880,1 -2012,4,7,0,30,0,0,0,1.9000000000000001,12,137.53,880,0 -2012,4,7,1,30,0,0,0,1.8,11,136.72,880,0 -2012,4,7,2,30,0,0,0,1.8,10,131.61,880,0 -2012,4,7,3,30,0,0,0,1.8,10,123.36,880,-1 -2012,4,7,4,30,0,0,0,2.5,10,113.17,890,-1 -2012,4,7,5,30,0,0,0,3.6,10,101.86,890,-2 -2012,4,7,6,30,0,0,0,4.800000000000001,10,89.91,890,-4 -2012,4,7,7,30,97,80,77,6.800000000000001,11,77.7,890,-5 -2012,4,7,8,30,227,178,119,8.6,13,65.48,890,-6 -2012,4,7,9,30,323,274,81,9.1,15,53.59,890,-5 -2012,4,7,10,30,715,216,677,8.700000000000001,16,42.56,890,-6 -2012,4,7,11,30,817,296,624,8,17,33.47,890,-8 -2012,4,7,12,30,968,146,933,7.4,18,28.38,890,-8 -2012,4,7,13,30,955,145,930,7,19,29.490000000000002,890,-8 -2012,4,7,14,30,707,335,460,6.6000000000000005,19,36.230000000000004,890,-8 -2012,4,7,15,30,607,253,510,6.2,19,46.14,890,-7 -2012,4,7,16,30,492,127,679,5.9,18,57.54,890,-7 -2012,4,7,17,30,304,67,679,5.1000000000000005,16,69.57000000000001,890,-7 -2012,4,7,18,30,96,51,315,3.7,13,81.81,890,-6 -2012,4,7,19,30,0,0,0,3.1,12,93.94,900,-4 -2012,4,7,20,30,0,0,0,3.3000000000000003,11,105.68,900,-3 -2012,4,7,21,30,0,0,0,3,10,116.64,900,-3 -2012,4,7,22,30,0,0,0,2.6,9,126.22,900,-3 -2012,4,7,23,30,0,0,0,2.1,8,133.47,900,-2 -2012,4,8,0,30,0,0,0,1.9000000000000001,7,137.16,900,-2 -2012,4,8,1,30,0,0,0,2,7,136.34,900,-2 -2012,4,8,2,30,0,0,0,1.6,6,131.24,900,-2 -2012,4,8,3,30,0,0,0,1.2000000000000002,6,123.03,900,-1 -2012,4,8,4,30,0,0,0,1.1,6,112.87,900,-1 -2012,4,8,5,30,0,0,0,1.1,6,101.57000000000001,900,-1 -2012,4,8,6,30,0,0,0,1.3,7,89.64,900,-1 -2012,4,8,7,30,64,64,0,1.3,9,77.43,900,0 -2012,4,8,8,30,148,144,8,0.9,12,65.21000000000001,900,0 -2012,4,8,9,30,608,110,833,0.8,14,53.300000000000004,900,0 -2012,4,8,10,30,784,119,897,1.2000000000000002,17,42.25,900,0 -2012,4,8,11,30,904,124,931,1.7000000000000002,19,33.12,890,1 -2012,4,8,12,30,961,124,948,2.2,21,28,890,1 -2012,4,8,13,30,949,122,946,2.4000000000000004,23,29.150000000000002,890,1 -2012,4,8,14,30,869,118,928,2.4000000000000004,24,35.97,890,0 -2012,4,8,15,30,730,109,891,2.3000000000000003,24,45.94,890,0 -2012,4,8,16,30,541,96,825,2.2,24,57.370000000000005,890,0 -2012,4,8,17,30,322,77,697,1.7000000000000002,22,69.41,890,-1 -2012,4,8,18,30,104,45,405,1.4000000000000001,19,81.65,890,3 -2012,4,8,19,30,0,0,0,1.9000000000000001,16,93.77,890,3 -2012,4,8,20,30,0,0,0,2.8000000000000003,15,105.49000000000001,890,4 -2012,4,8,21,30,0,0,0,3.6,14,116.42,890,5 -2012,4,8,22,30,0,0,0,4,14,125.95,890,6 -2012,4,8,23,30,0,0,0,4,13,133.16,890,7 -2012,4,9,0,30,0,0,0,3.5,12,136.8,890,7 -2012,4,9,1,30,0,0,0,2.9000000000000004,11,135.96,890,7 -2012,4,9,2,30,0,0,0,2.5,10,130.88,890,7 -2012,4,9,3,30,0,0,0,2.3000000000000003,10,122.7,890,7 -2012,4,9,4,30,0,0,0,2.3000000000000003,9,112.56,890,8 -2012,4,9,5,30,0,0,0,2.5,9,101.29,890,9 -2012,4,9,6,30,0,0,0,3.5,11,89.37,890,9 -2012,4,9,7,30,141,74,302,4.7,14,77.16,890,10 -2012,4,9,8,30,331,144,439,5.300000000000001,18,64.94,890,11 -2012,4,9,9,30,485,245,399,5.1000000000000005,21,53.02,890,11 -2012,4,9,10,30,665,283,513,4.4,23,41.93,890,10 -2012,4,9,11,30,769,359,488,3.7,24,32.76,890,9 -2012,4,9,12,30,553,456,109,3.2,26,27.62,890,9 -2012,4,9,13,30,277,263,15,3.2,26,28.82,890,9 -2012,4,9,14,30,727,337,479,3.4000000000000004,25,35.71,890,9 -2012,4,9,15,30,607,260,496,3,23,45.74,890,9 -2012,4,9,16,30,373,243,239,2.2,22,57.19,890,10 -2012,4,9,17,30,127,124,10,1.5,20,69.26,890,12 -2012,4,9,18,30,2,2,0,2.1,18,81.49,890,13 -2012,4,9,19,30,0,0,0,3.7,17,93.61,890,13 -2012,4,9,20,30,0,0,0,4.800000000000001,16,105.31,890,13 -2012,4,9,21,30,0,0,0,5,16,116.2,890,13 -2012,4,9,22,30,0,0,0,4.7,15,125.69,890,13 -2012,4,9,23,30,0,0,0,4.3,14,132.84,890,14 -2012,4,10,0,30,0,0,0,4.1000000000000005,14,136.44,890,14 -2012,4,10,1,30,0,0,0,3.9000000000000004,14,135.59,890,14 -2012,4,10,2,30,0,0,0,3.7,13,130.52,890,13 -2012,4,10,3,30,0,0,0,3.5,13,122.37,890,13 -2012,4,10,4,30,0,0,0,3.4000000000000004,12,112.26,890,11 -2012,4,10,5,30,0,0,0,3.2,12,101.01,890,11 -2012,4,10,6,30,0,0,0,3.4000000000000004,12,89.10000000000001,890,11 -2012,4,10,7,30,170,78,405,3.9000000000000004,15,76.9,890,12 -2012,4,10,8,30,386,114,636,3.7,18,64.67,890,12 -2012,4,10,9,30,594,132,763,2.9000000000000004,22,52.74,890,12 -2012,4,10,10,30,765,141,835,2.5,25,41.63,890,10 -2012,4,10,11,30,884,147,873,3,27,32.410000000000004,890,9 -2012,4,10,12,30,945,138,908,3.8000000000000003,28,27.25,890,8 -2012,4,10,13,30,933,137,905,4.4,28,28.490000000000002,890,7 -2012,4,10,14,30,854,134,883,4.800000000000001,28,35.45,890,6 -2012,4,10,15,30,716,124,844,4.9,27,45.54,890,5 -2012,4,10,16,30,531,106,780,5,26,57.03,890,5 -2012,4,10,17,30,297,88,584,4.6000000000000005,24,69.10000000000001,890,5 -2012,4,10,18,30,86,53,215,4,21,81.34,890,7 -2012,4,10,19,30,0,0,0,4,19,93.44,890,9 -2012,4,10,20,30,0,0,0,4.2,18,105.12,890,10 -2012,4,10,21,30,0,0,0,4,17,115.98,890,10 -2012,4,10,22,30,0,0,0,3.7,16,125.42,890,10 -2012,4,10,23,30,0,0,0,3.5,16,132.52,890,10 -2012,4,11,0,30,0,0,0,3.3000000000000003,15,136.08,890,10 -2012,4,11,1,30,0,0,0,3.2,14,135.21,890,10 -2012,4,11,2,30,0,0,0,3,14,130.17000000000002,890,10 -2012,4,11,3,30,0,0,0,2.7,13,122.04,890,10 -2012,4,11,4,30,0,0,0,2.2,12,111.96000000000001,890,10 -2012,4,11,5,30,0,0,0,1.8,12,100.73,890,10 -2012,4,11,6,30,11,11,0,2.2,13,88.84,890,10 -2012,4,11,7,30,44,44,0,3.4000000000000004,15,76.64,890,11 -2012,4,11,8,30,337,149,435,4,18,64.41,890,11 -2012,4,11,9,30,89,89,0,4.1000000000000005,21,52.46,890,11 -2012,4,11,10,30,507,376,174,4.2,24,41.32,890,11 -2012,4,11,11,30,887,130,893,4.4,25,32.07,890,10 -2012,4,11,12,30,941,134,904,4.800000000000001,26,26.88,890,9 -2012,4,11,13,30,479,423,63,5.1000000000000005,26,28.16,890,9 -2012,4,11,14,30,614,412,247,5.4,26,35.2,890,8 -2012,4,11,15,30,587,290,422,5.5,25,45.34,880,8 -2012,4,11,16,30,42,42,0,5.300000000000001,23,56.86,880,9 -2012,4,11,17,30,227,144,231,5.1000000000000005,21,68.95,880,11 -2012,4,11,18,30,31,31,0,5,19,81.18,880,12 -2012,4,11,19,30,0,0,0,4.9,17,93.28,890,13 -2012,4,11,20,30,0,0,0,4.9,17,104.93,890,14 -2012,4,11,21,30,0,0,0,4.800000000000001,16,115.76,890,14 -2012,4,11,22,30,0,0,0,4.800000000000001,16,125.16,880,14 -2012,4,11,23,30,0,0,0,5.2,15,132.21,880,13 -2012,4,12,0,30,0,0,0,5.300000000000001,15,135.72,880,13 -2012,4,12,1,30,0,0,0,5.300000000000001,15,134.84,880,12 -2012,4,12,2,30,0,0,0,5.4,14,129.81,880,12 -2012,4,12,3,30,0,0,0,4.9,14,121.71000000000001,880,13 -2012,4,12,4,30,0,0,0,4.3,13,111.66,880,13 -2012,4,12,5,30,0,0,0,4.1000000000000005,13,100.45,880,13 -2012,4,12,6,30,10,10,20,4.5,13,88.57000000000001,880,13 -2012,4,12,7,30,179,85,401,5.5,15,76.38,880,13 -2012,4,12,8,30,55,55,0,6.2,18,64.14,880,13 -2012,4,12,9,30,153,151,2,6.2,21,52.18,880,12 -2012,4,12,10,30,788,129,874,6.1000000000000005,23,41.02,880,11 -2012,4,12,11,30,823,333,575,6.1000000000000005,25,31.720000000000002,880,8 -2012,4,12,12,30,883,355,589,6.300000000000001,26,26.51,880,6 -2012,4,12,13,30,960,119,951,6.7,27,27.830000000000002,880,3 -2012,4,12,14,30,884,110,944,7,28,34.95,880,1 -2012,4,12,15,30,744,104,907,7,27,45.14,880,0 -2012,4,12,16,30,552,100,822,6.4,26,56.69,880,-2 -2012,4,12,17,30,317,69,683,4.800000000000001,24,68.79,880,-2 -2012,4,12,18,30,70,58,78,3.3000000000000003,21,81.03,880,0 -2012,4,12,19,30,0,0,0,3,18,93.11,880,0 -2012,4,12,20,30,0,0,0,3.2,17,104.75,880,0 -2012,4,12,21,30,0,0,0,3.2,16,115.54,880,0 -2012,4,12,22,30,0,0,0,3,14,124.9,880,0 -2012,4,12,23,30,0,0,0,3.4000000000000004,13,131.89000000000001,880,0 -2012,4,13,0,30,0,0,0,4.2,12,135.36,880,0 -2012,4,13,1,30,0,0,0,4.1000000000000005,11,134.47,880,-1 -2012,4,13,2,30,0,0,0,3,10,129.46,880,-2 -2012,4,13,3,30,0,0,0,2.3000000000000003,10,121.39,880,-3 -2012,4,13,4,30,0,0,0,2.1,9,111.37,880,-2 -2012,4,13,5,30,0,0,0,2,8,100.18,880,-2 -2012,4,13,6,30,16,16,0,2.5,9,88.31,880,-2 -2012,4,13,7,30,205,65,586,3,12,76.13,880,-3 -2012,4,13,8,30,402,81,729,2.7,16,63.89,880,-4 -2012,4,13,9,30,565,177,629,1.9000000000000001,20,51.910000000000004,880,-8 -2012,4,13,10,30,758,198,738,1.4000000000000001,21,40.72,880,-9 -2012,4,13,11,30,860,254,709,2,22,31.38,880,-9 -2012,4,13,12,30,926,273,727,2.9000000000000004,23,26.14,880,-9 -2012,4,13,13,30,896,303,668,3.7,24,27.51,880,-9 -2012,4,13,14,30,850,201,789,4.5,25,34.7,880,-9 -2012,4,13,15,30,614,269,488,4.9,25,44.95,880,-9 -2012,4,13,16,30,488,157,600,4.800000000000001,24,56.53,880,-9 -2012,4,13,17,30,268,126,391,3.5,22,68.64,880,-8 -2012,4,13,18,30,119,47,456,2.1,19,80.88,880,-2 -2012,4,13,19,30,0,0,0,2,17,92.95,880,0 -2012,4,13,20,30,0,0,0,2.5,17,104.56,880,0 -2012,4,13,21,30,0,0,0,3,16,115.32000000000001,880,-1 -2012,4,13,22,30,0,0,0,3.6,16,124.63000000000001,880,-1 -2012,4,13,23,30,0,0,0,4.4,15,131.58,880,0 -2012,4,14,0,30,0,0,0,5.300000000000001,15,135.01,880,1 -2012,4,14,1,30,0,0,0,5.9,15,134.11,880,7 -2012,4,14,2,30,0,0,0,6.1000000000000005,15,129.11,880,12 -2012,4,14,3,30,0,0,0,6.5,15,121.07000000000001,880,14 -2012,4,14,4,30,0,0,0,6.7,15,111.07000000000001,880,15 -2012,4,14,5,30,0,0,0,6.1000000000000005,15,99.9,870,15 -2012,4,14,6,30,16,14,54,5.6000000000000005,15,88.06,870,14 -2012,4,14,7,30,119,94,102,5.800000000000001,17,75.88,880,14 -2012,4,14,8,30,424,90,752,6.2,20,63.63,870,11 -2012,4,14,9,30,638,102,864,6.7,23,51.64,870,3 -2012,4,14,10,30,814,109,925,7.300000000000001,26,40.42,870,-2 -2012,4,14,11,30,938,113,961,7.800000000000001,27,31.04,870,-4 -2012,4,14,12,30,995,116,976,8.3,28,25.78,870,-5 -2012,4,14,13,30,981,114,975,8.8,28,27.19,870,-5 -2012,4,14,14,30,899,109,957,9.3,29,34.46,870,-4 -2012,4,14,15,30,755,103,918,9.600000000000001,29,44.76,870,-4 -2012,4,14,16,30,563,93,849,9.3,28,56.370000000000005,870,-4 -2012,4,14,17,30,341,76,722,8.5,26,68.49,870,-5 -2012,4,14,18,30,119,47,447,7.7,23,80.72,870,-5 -2012,4,14,19,30,0,0,0,7.7,20,92.78,870,-4 -2012,4,14,20,30,0,0,0,7.800000000000001,18,104.37,870,-4 -2012,4,14,21,30,0,0,0,7.5,16,115.10000000000001,870,-3 -2012,4,14,22,30,0,0,0,7.2,13,124.37,870,-4 -2012,4,14,23,30,0,0,0,7.4,11,131.27,880,-7 -2012,4,15,0,30,0,0,0,7.4,10,134.66,880,-9 -2012,4,15,1,30,0,0,0,6.9,8,133.75,880,-9 -2012,4,15,2,30,0,0,0,6.6000000000000005,7,128.77,880,-9 -2012,4,15,3,30,0,0,0,6.6000000000000005,6,120.75,880,-8 -2012,4,15,4,30,0,0,0,6.9,6,110.78,880,-8 -2012,4,15,5,30,0,0,0,7.1000000000000005,5,99.64,880,-7 -2012,4,15,6,30,23,16,174,7.6000000000000005,6,87.8,880,-6 -2012,4,15,7,30,221,57,660,8.4,8,75.63,880,-6 -2012,4,15,8,30,453,79,835,8.9,10,63.38,880,-6 -2012,4,15,9,30,666,93,917,8.700000000000001,13,51.38,880,-7 -2012,4,15,10,30,835,105,954,8.1,16,40.13,880,-7 -2012,4,15,11,30,946,114,968,7.4,17,30.71,880,-6 -2012,4,15,12,30,469,422,52,6.7,18,25.42,880,-5 -2012,4,15,13,30,847,397,504,6.300000000000001,19,26.87,880,-5 -2012,4,15,14,30,894,117,940,6.1000000000000005,19,34.22,880,-4 -2012,4,15,15,30,273,259,20,5.9,19,44.57,880,-4 -2012,4,15,16,30,451,213,428,5.300000000000001,18,56.2,880,-4 -2012,4,15,17,30,343,76,722,4.1000000000000005,17,68.34,880,-3 -2012,4,15,18,30,122,48,453,2.4000000000000004,14,80.57000000000001,880,-2 -2012,4,15,19,30,0,0,0,1.6,11,92.62,880,0 -2012,4,15,20,30,0,0,0,1.9000000000000001,10,104.19,880,0 -2012,4,15,21,30,0,0,0,2,9,114.88,890,0 -2012,4,15,22,30,0,0,0,1.8,8,124.11,890,0 -2012,4,15,23,30,0,0,0,1.6,7,130.96,890,0 -2012,4,16,0,30,0,0,0,1.6,6,134.31,890,0 -2012,4,16,1,30,0,0,0,1.7000000000000002,6,133.39000000000001,890,0 -2012,4,16,2,30,0,0,0,1.8,5,128.42000000000002,890,1 -2012,4,16,3,30,0,0,0,1.6,4,120.44,890,1 -2012,4,16,4,30,0,0,0,1.2000000000000002,4,110.5,890,1 -2012,4,16,5,30,0,0,0,0.8,4,99.37,890,2 -2012,4,16,6,30,24,18,142,0.6000000000000001,5,87.55,890,2 -2012,4,16,7,30,214,62,600,1.7000000000000002,9,75.38,890,2 -2012,4,16,8,30,440,85,784,3.3000000000000003,12,63.13,890,0 -2012,4,16,9,30,649,101,873,3.8000000000000003,15,51.120000000000005,890,0 -2012,4,16,10,30,819,112,920,3.9000000000000004,17,39.84,890,0 -2012,4,16,11,30,935,120,944,3.9000000000000004,19,30.38,890,0 -2012,4,16,12,30,749,440,341,3.9000000000000004,20,25.060000000000002,890,0 -2012,4,16,13,30,876,355,582,4,21,26.560000000000002,890,-1 -2012,4,16,14,30,344,322,26,3.9000000000000004,21,33.980000000000004,890,-1 -2012,4,16,15,30,361,320,57,3.7,20,44.38,890,-2 -2012,4,16,16,30,243,223,35,3.3000000000000003,19,56.04,890,-2 -2012,4,16,17,30,284,120,442,2.4000000000000004,18,68.19,890,-2 -2012,4,16,18,30,51,51,0,1.8,15,80.42,890,1 -2012,4,16,19,30,0,0,0,2.5,13,92.45,890,1 -2012,4,16,20,30,0,0,0,3.6,12,104,890,0 -2012,4,16,21,30,0,0,0,4.2,11,114.66,890,1 -2012,4,16,22,30,0,0,0,4.1000000000000005,10,123.85000000000001,890,1 -2012,4,16,23,30,0,0,0,3.7,9,130.65,890,1 -2012,4,17,0,30,0,0,0,3.5,8,133.96,890,1 -2012,4,17,1,30,0,0,0,3.4000000000000004,7,133.03,890,1 -2012,4,17,2,30,0,0,0,3.6,7,128.08,890,1 -2012,4,17,3,30,0,0,0,3.7,6,120.13,890,1 -2012,4,17,4,30,0,0,0,3.8000000000000003,6,110.21000000000001,890,1 -2012,4,17,5,30,0,0,0,3.8000000000000003,6,99.11,890,2 -2012,4,17,6,30,26,19,160,4.2,7,87.3,890,2 -2012,4,17,7,30,221,61,624,4.7,10,75.14,890,2 -2012,4,17,8,30,448,82,804,5.1000000000000005,14,62.89,890,2 -2012,4,17,9,30,659,95,892,5.300000000000001,18,50.86,890,1 -2012,4,17,10,30,830,105,940,5.300000000000001,21,39.56,890,0 -2012,4,17,11,30,947,112,964,5.300000000000001,23,30.05,890,-1 -2012,4,17,12,30,1001,113,977,5.300000000000001,24,24.7,890,-2 -2012,4,17,13,30,986,113,974,5.4,25,26.25,890,-2 -2012,4,17,14,30,905,108,958,5.5,26,33.74,890,-3 -2012,4,17,15,30,763,100,925,5.6000000000000005,25,44.2,890,-3 -2012,4,17,16,30,572,89,861,5.5,25,55.89,890,-3 -2012,4,17,17,30,351,75,738,4.9,23,68.04,890,-3 -2012,4,17,18,30,128,48,472,3.8000000000000003,20,80.27,890,-1 -2012,4,17,19,30,0,0,0,3.9000000000000004,17,92.29,890,0 -2012,4,17,20,30,0,0,0,4.800000000000001,16,103.81,890,0 -2012,4,17,21,30,0,0,0,4.9,15,114.45,890,0 -2012,4,17,22,30,0,0,0,4.800000000000001,14,123.59,890,0 -2012,4,17,23,30,0,0,0,4.800000000000001,13,130.34,890,0 -2012,4,18,0,30,0,0,0,4.7,12,133.62,890,0 -2012,4,18,1,30,0,0,0,4.6000000000000005,11,132.68,890,0 -2012,4,18,2,30,0,0,0,4.4,10,127.75,890,0 -2012,4,18,3,30,0,0,0,4.4,10,119.82000000000001,890,0 -2012,4,18,4,30,0,0,0,4.3,9,109.93,890,0 -2012,4,18,5,30,0,0,0,4.3,9,98.85000000000001,890,0 -2012,4,18,6,30,29,20,164,4.7,10,87.06,890,0 -2012,4,18,7,30,223,64,614,5.7,13,74.9,890,0 -2012,4,18,8,30,452,86,795,6.7,18,62.65,890,0 -2012,4,18,9,30,665,99,891,6.5,21,50.61,890,0 -2012,4,18,10,30,839,106,945,5.6000000000000005,24,39.28,890,-1 -2012,4,18,11,30,958,111,975,5.1000000000000005,27,29.73,890,-3 -2012,4,18,12,30,1012,113,986,4.800000000000001,28,24.35,880,-4 -2012,4,18,13,30,997,110,987,4.9,29,25.94,880,-5 -2012,4,18,14,30,916,104,973,5,30,33.51,880,-6 -2012,4,18,15,30,767,111,912,5,30,44.02,880,-7 -2012,4,18,16,30,577,97,852,4.7,29,55.730000000000004,880,-7 -2012,4,18,17,30,356,78,741,3.2,27,67.89,880,-7 -2012,4,18,18,30,133,48,492,1.8,22,80.12,880,0 -2012,4,18,19,30,0,0,0,1.8,18,92.13,880,0 -2012,4,18,20,30,0,0,0,2.6,18,103.63,880,-1 -2012,4,18,21,30,0,0,0,4.3,18,114.23,880,0 -2012,4,18,22,30,0,0,0,5.4,17,123.33,880,0 -2012,4,18,23,30,0,0,0,5.6000000000000005,16,130.04,880,2 -2012,4,19,0,30,0,0,0,5.7,15,133.28,880,3 -2012,4,19,1,30,0,0,0,5.6000000000000005,14,132.33,880,3 -2012,4,19,2,30,0,0,0,5.5,14,127.42,880,2 -2012,4,19,3,30,0,0,0,5.2,13,119.51,880,1 -2012,4,19,4,30,0,0,0,4.7,13,109.65,880,0 -2012,4,19,5,30,0,0,0,4.4,13,98.59,880,-2 -2012,4,19,6,30,30,21,159,4.5,14,86.81,880,-2 -2012,4,19,7,30,224,65,602,4.6000000000000005,17,74.67,880,-2 -2012,4,19,8,30,446,87,774,5.1000000000000005,21,62.410000000000004,880,0 -2012,4,19,9,30,648,106,850,5.4,24,50.36,880,1 -2012,4,19,10,30,810,123,884,4.800000000000001,25,39.01,880,2 -2012,4,19,11,30,714,426,331,4.3,25,29.42,880,3 -2012,4,19,12,30,787,419,402,4.2,24,24,880,3 -2012,4,19,13,30,617,474,158,4.1000000000000005,23,25.64,880,4 -2012,4,19,14,30,594,430,197,3.3000000000000003,23,33.28,880,5 -2012,4,19,15,30,227,218,12,2,22,43.84,880,5 -2012,4,19,16,30,342,261,143,0.8,21,55.57,880,5 -2012,4,19,17,30,201,158,112,0.4,20,67.75,880,5 -2012,4,19,18,30,102,67,200,1.5,18,79.97,880,6 -2012,4,19,19,30,0,0,0,4.6000000000000005,15,91.96000000000001,880,7 -2012,4,19,20,30,0,0,0,6.800000000000001,12,103.44,880,7 -2012,4,19,21,30,0,0,0,6.800000000000001,10,114.01,880,7 -2012,4,19,22,30,0,0,0,5.6000000000000005,10,123.07000000000001,880,7 -2012,4,19,23,30,0,0,0,4.2,10,129.73,890,6 -2012,4,20,0,30,0,0,0,3.2,10,132.94,890,6 -2012,4,20,1,30,0,0,0,2.7,10,131.98,890,6 -2012,4,20,2,30,0,0,0,2.6,9,127.09,890,6 -2012,4,20,3,30,0,0,0,2.7,9,119.21000000000001,890,7 -2012,4,20,4,30,0,0,0,2.7,8,109.38,890,7 -2012,4,20,5,30,0,0,0,3.2,8,98.33,890,7 -2012,4,20,6,30,32,23,146,4.3,9,86.57000000000001,890,7 -2012,4,20,7,30,221,71,560,5.300000000000001,11,74.43,890,6 -2012,4,20,8,30,239,200,83,5.7,14,62.18,890,6 -2012,4,20,9,30,648,115,831,5.6000000000000005,16,50.120000000000005,890,5 -2012,4,20,10,30,555,385,217,5.6000000000000005,18,38.74,890,4 -2012,4,20,11,30,933,131,918,5.6000000000000005,19,29.1,890,4 -2012,4,20,12,30,989,126,942,5.5,20,23.66,890,3 -2012,4,20,13,30,977,121,947,5.4,20,25.34,890,2 -2012,4,20,14,30,898,114,935,5.1000000000000005,21,33.06,890,1 -2012,4,20,15,30,757,109,895,4.9,21,43.660000000000004,890,0 -2012,4,20,16,30,394,255,245,4.4,20,55.42,890,0 -2012,4,20,17,30,353,79,717,3.4000000000000004,19,67.6,890,0 -2012,4,20,18,30,132,51,459,1.9000000000000001,16,79.82000000000001,890,0 -2012,4,20,19,30,0,0,0,1.2000000000000002,13,91.8,890,2 -2012,4,20,20,30,0,0,0,1.2000000000000002,12,103.26,890,1 -2012,4,20,21,30,0,0,0,1.2000000000000002,11,113.79,890,1 -2012,4,20,22,30,0,0,0,1.4000000000000001,10,122.81,890,0 -2012,4,20,23,30,0,0,0,1.6,9,129.43,890,0 -2012,4,21,0,30,0,0,0,1.9000000000000001,9,132.61,890,0 -2012,4,21,1,30,0,0,0,2.3000000000000003,8,131.64000000000001,890,0 -2012,4,21,2,30,0,0,0,2.6,8,126.76,890,0 -2012,4,21,3,30,0,0,0,2.9000000000000004,7,118.91,890,0 -2012,4,21,4,30,0,0,0,3.2,7,109.11,890,0 -2012,4,21,5,30,0,0,0,3.6,7,98.08,890,0 -2012,4,21,6,30,38,22,240,4.2,8,86.34,890,0 -2012,4,21,7,30,236,58,656,4.800000000000001,11,74.21000000000001,890,1 -2012,4,21,8,30,462,76,821,5.300000000000001,15,61.95,890,1 -2012,4,21,9,30,670,86,906,5.5,20,49.88,890,1 -2012,4,21,10,30,840,93,954,4.800000000000001,23,38.47,890,0 -2012,4,21,11,30,957,97,982,3.3000000000000003,26,28.79,890,0 -2012,4,21,12,30,1007,105,982,2.2,27,23.32,890,0 -2012,4,21,13,30,991,105,978,2.4000000000000004,28,25.04,890,0 -2012,4,21,14,30,909,100,961,3.2,29,32.83,890,0 -2012,4,21,15,30,765,98,919,3.8000000000000003,28,43.49,890,0 -2012,4,21,16,30,576,87,857,4,27,55.27,890,0 -2012,4,21,17,30,358,71,748,3.4000000000000004,25,67.45,890,0 -2012,4,21,18,30,138,45,518,2.4000000000000004,21,79.67,890,2 -2012,4,21,19,30,0,0,0,2.3000000000000003,18,91.64,890,3 -2012,4,21,20,30,0,0,0,2.8000000000000003,17,103.07000000000001,890,3 -2012,4,21,21,30,0,0,0,3,16,113.58,890,4 -2012,4,21,22,30,0,0,0,2.8000000000000003,14,122.55,890,4 -2012,4,21,23,30,0,0,0,2.4000000000000004,13,129.13,890,4 -2012,4,22,0,30,0,0,0,2,12,132.28,890,4 -2012,4,22,1,30,0,0,0,1.8,11,131.3,890,4 -2012,4,22,2,30,0,0,0,1.5,10,126.44,890,4 -2012,4,22,3,30,0,0,0,1.2000000000000002,10,118.62,890,4 -2012,4,22,4,30,0,0,0,1.1,9,108.84,890,4 -2012,4,22,5,30,0,0,0,1.2000000000000002,9,97.84,890,5 -2012,4,22,6,30,40,22,255,2.3000000000000003,10,86.11,890,5 -2012,4,22,7,30,236,58,645,3.9000000000000004,14,73.98,890,5 -2012,4,22,8,30,457,78,801,4.800000000000001,17,61.730000000000004,890,4 -2012,4,22,9,30,662,91,881,4.9,20,49.64,890,4 -2012,4,22,10,30,828,100,926,4.5,22,38.21,890,3 -2012,4,22,11,30,941,105,951,4,23,28.490000000000002,890,3 -2012,4,22,12,30,992,106,963,3.4000000000000004,24,22.98,890,3 -2012,4,22,13,30,977,105,960,3,25,24.75,890,3 -2012,4,22,14,30,896,101,944,2.9000000000000004,26,32.61,890,3 -2012,4,22,15,30,739,133,832,3.1,25,43.31,890,3 -2012,4,22,16,30,554,117,763,3.5,24,55.120000000000005,890,3 -2012,4,22,17,30,342,93,646,3.9000000000000004,23,67.31,890,3 -2012,4,22,18,30,130,56,408,4,20,79.52,890,3 -2012,4,22,19,30,0,0,0,4.1000000000000005,18,91.48,890,3 -2012,4,22,20,30,0,0,0,4.3,16,102.89,890,3 -2012,4,22,21,30,0,0,0,4,14,113.36,890,2 -2012,4,22,22,30,0,0,0,3.6,13,122.3,890,3 -2012,4,22,23,30,0,0,0,3,12,128.84,890,3 -2012,4,23,0,30,0,0,0,2.8000000000000003,11,131.95,890,3 -2012,4,23,1,30,0,0,0,2.6,11,130.97,890,2 -2012,4,23,2,30,0,0,0,2.6,11,126.12,890,2 -2012,4,23,3,30,0,0,0,2.6,10,118.33,890,2 -2012,4,23,4,30,0,0,0,2.8000000000000003,10,108.57000000000001,890,3 -2012,4,23,5,30,0,0,0,3,9,97.59,890,3 -2012,4,23,6,30,34,28,93,3.3000000000000003,10,85.88,890,3 -2012,4,23,7,30,219,91,458,3.9000000000000004,12,73.76,890,3 -2012,4,23,8,30,439,116,677,4.5,15,61.51,890,3 -2012,4,23,9,30,646,125,800,5,18,49.410000000000004,890,3 -2012,4,23,10,30,816,129,871,5.2,21,37.95,890,3 -2012,4,23,11,30,933,130,912,5.1000000000000005,23,28.19,890,2 -2012,4,23,12,30,991,120,943,5,25,22.64,890,2 -2012,4,23,13,30,978,117,945,4.9,26,24.45,890,2 -2012,4,23,14,30,899,110,934,4.7,27,32.39,890,1 -2012,4,23,15,30,763,101,906,4.5,27,43.14,890,1 -2012,4,23,16,30,578,89,851,4.2,26,54.97,890,1 -2012,4,23,17,30,362,72,747,3.3000000000000003,25,67.17,890,1 -2012,4,23,18,30,143,46,524,2.4000000000000004,21,79.37,890,3 -2012,4,23,19,30,0,0,0,2.5,18,91.31,890,3 -2012,4,23,20,30,0,0,0,3.1,17,102.7,890,2 -2012,4,23,21,30,0,0,0,3.5,16,113.15,890,2 -2012,4,23,22,30,0,0,0,3.6,15,122.04,890,2 -2012,4,23,23,30,0,0,0,3.7,15,128.54,890,2 -2012,4,24,0,30,0,0,0,3.8000000000000003,14,131.62,890,2 -2012,4,24,1,30,0,0,0,3.9000000000000004,13,130.64000000000001,890,2 -2012,4,24,2,30,0,0,0,3.8000000000000003,13,125.8,890,3 -2012,4,24,3,30,0,0,0,3.7,12,118.04,890,3 -2012,4,24,4,30,0,0,0,3.5,12,108.31,890,3 -2012,4,24,5,30,0,0,0,3.5,12,97.35000000000001,890,3 -2012,4,24,6,30,44,26,245,4,13,85.65,890,3 -2012,4,24,7,30,242,64,628,4.4,17,73.54,890,3 -2012,4,24,8,30,465,83,794,4.6000000000000005,21,61.29,890,3 -2012,4,24,9,30,670,95,880,4.800000000000001,26,49.19,890,3 -2012,4,24,10,30,837,102,929,4.800000000000001,29,37.7,880,1 -2012,4,24,11,30,952,107,956,5,31,27.89,880,1 -2012,4,24,12,30,1005,109,968,5,33,22.31,880,1 -2012,4,24,13,30,990,107,967,4.9,34,24.17,880,0 -2012,4,24,14,30,910,103,954,4.6000000000000005,34,32.18,880,0 -2012,4,24,15,30,767,102,909,4.5,34,42.97,880,0 -2012,4,24,16,30,511,170,591,4.2,33,54.82,880,0 -2012,4,24,17,30,281,142,356,2.9000000000000004,31,67.02,880,0 -2012,4,24,18,30,23,23,0,1.8,26,79.22,880,4 -2012,4,24,19,30,0,0,0,2,23,91.15,880,4 -2012,4,24,20,30,0,0,0,2.5,23,102.52,880,3 -2012,4,24,21,30,0,0,0,3.3000000000000003,22,112.93,880,2 -2012,4,24,22,30,0,0,0,3.8000000000000003,21,121.79,880,2 -2012,4,24,23,30,0,0,0,4.2,20,128.25,880,1 -2012,4,25,0,30,0,0,0,4.7,19,131.3,880,1 -2012,4,25,1,30,0,0,0,5,18,130.31,880,1 -2012,4,25,2,30,0,0,0,4.800000000000001,17,125.49000000000001,880,1 -2012,4,25,3,30,0,0,0,4.2,16,117.75,880,1 -2012,4,25,4,30,0,0,0,3.5,15,108.05,880,0 -2012,4,25,5,30,0,0,0,3.2,15,97.12,880,0 -2012,4,25,6,30,50,26,301,3.8000000000000003,17,85.43,880,0 -2012,4,25,7,30,251,62,658,4.2,21,73.33,880,0 -2012,4,25,8,30,474,81,814,4,26,61.08,880,0 -2012,4,25,9,30,683,90,903,4.5,31,48.97,880,0 -2012,4,25,10,30,857,93,961,4.800000000000001,34,37.46,880,-2 -2012,4,25,11,30,977,92,998,4.6000000000000005,35,27.6,880,-4 -2012,4,25,12,30,1027,99,1000,4.5,36,21.990000000000002,880,-6 -2012,4,25,13,30,1011,98,997,4.3,37,23.88,880,-7 -2012,4,25,14,30,926,95,979,4.1000000000000005,37,31.970000000000002,880,-8 -2012,4,25,15,30,542,348,264,3.8000000000000003,36,42.800000000000004,880,-8 -2012,4,25,16,30,532,143,673,3.1,35,54.67,880,-7 -2012,4,25,17,30,319,112,527,1.9000000000000001,33,66.88,880,-6 -2012,4,25,18,30,132,58,394,0.9,29,79.08,880,5 -2012,4,25,19,30,0,0,0,0.9,26,90.99,880,2 -2012,4,25,20,30,0,0,0,1,24,102.34,880,2 -2012,4,25,21,30,0,0,0,1.2000000000000002,22,112.72,880,3 -2012,4,25,22,30,0,0,0,1.5,20,121.54,880,4 -2012,4,25,23,30,0,0,0,1.6,18,127.96000000000001,880,6 -2012,4,26,0,30,0,0,0,1.5,17,130.98,880,8 -2012,4,26,1,30,0,0,0,1.4000000000000001,16,129.99,880,9 -2012,4,26,2,30,0,0,0,1.3,15,125.19,880,10 -2012,4,26,3,30,0,0,0,1.3,14,117.47,880,11 -2012,4,26,4,30,0,0,0,1.3,14,107.8,880,12 -2012,4,26,5,30,0,0,0,1.4000000000000001,14,96.88,880,12 -2012,4,26,6,30,32,28,48,2.1,16,85.21000000000001,880,13 -2012,4,26,7,30,108,103,16,2.7,19,73.12,880,13 -2012,4,26,8,30,247,209,79,3,23,60.870000000000005,880,14 -2012,4,26,9,30,194,189,8,3.5,26,48.75,880,13 -2012,4,26,10,30,309,292,22,3.7,27,37.21,880,12 -2012,4,26,11,30,618,464,173,3.8000000000000003,28,27.32,880,11 -2012,4,26,12,30,973,148,888,4.4,29,21.66,880,10 -2012,4,26,13,30,913,343,622,5.1000000000000005,30,23.6,880,10 -2012,4,26,14,30,770,368,472,5.5,31,31.76,880,9 -2012,4,26,15,30,160,156,5,5.6000000000000005,31,42.64,880,8 -2012,4,26,16,30,28,28,0,5.6000000000000005,30,54.53,880,8 -2012,4,26,17,30,327,104,566,5.4,28,66.74,880,8 -2012,4,26,18,30,133,68,339,5.4,25,78.93,880,9 -2012,4,26,19,30,0,0,0,6,23,90.83,880,10 -2012,4,26,20,30,0,0,0,6.6000000000000005,21,102.16,880,11 -2012,4,26,21,30,0,0,0,6.7,20,112.5,880,12 -2012,4,26,22,30,0,0,0,6.300000000000001,18,121.29,880,12 -2012,4,26,23,30,0,0,0,5.2,18,127.67,880,11 -2012,4,27,0,30,0,0,0,3.5,17,130.67000000000002,880,11 -2012,4,27,1,30,0,0,0,2,15,129.67000000000002,880,9 -2012,4,27,2,30,0,0,0,2.4000000000000004,14,124.88000000000001,880,8 -2012,4,27,3,30,0,0,0,4.1000000000000005,14,117.2,880,5 -2012,4,27,4,30,0,0,0,5.1000000000000005,13,107.55,880,3 -2012,4,27,5,30,0,0,0,5.300000000000001,13,96.66,880,2 -2012,4,27,6,30,58,27,349,6.1000000000000005,14,85,880,1 -2012,4,27,7,30,269,58,718,7.6000000000000005,16,72.92,880,0 -2012,4,27,8,30,496,72,866,8.6,19,60.67,880,0 -2012,4,27,9,30,703,81,939,8.700000000000001,22,48.54,880,0 -2012,4,27,10,30,869,87,979,8.200000000000001,25,36.980000000000004,880,0 -2012,4,27,11,30,982,91,1001,7.300000000000001,27,27.04,880,0 -2012,4,27,12,30,1032,95,1005,6.7,28,21.34,880,0 -2012,4,27,13,30,1015,95,1002,6.4,29,23.330000000000002,880,-1 -2012,4,27,14,30,932,92,985,6.2,30,31.560000000000002,880,-1 -2012,4,27,15,30,778,113,901,6,30,42.480000000000004,880,-2 -2012,4,27,16,30,589,102,837,5.6000000000000005,29,54.38,880,-2 -2012,4,27,17,30,373,82,733,4.3,27,66.6,880,-2 -2012,4,27,18,30,152,52,514,2.7,23,78.78,880,0 -2012,4,27,19,30,0,0,0,2.3000000000000003,20,90.67,880,1 -2012,4,27,20,30,0,0,0,3,20,101.97,880,0 -2012,4,27,21,30,0,0,0,3.7,19,112.29,880,-1 -2012,4,27,22,30,0,0,0,3.9000000000000004,18,121.04,880,-1 -2012,4,27,23,30,0,0,0,4.1000000000000005,17,127.38000000000001,880,-1 -2012,4,28,0,30,0,0,0,4.1000000000000005,16,130.36,880,-1 -2012,4,28,1,30,0,0,0,4.1000000000000005,15,129.35,880,-1 -2012,4,28,2,30,0,0,0,4.4,13,124.59,880,0 -2012,4,28,3,30,0,0,0,4.6000000000000005,12,116.93,880,0 -2012,4,28,4,30,0,0,0,4.6000000000000005,10,107.3,880,2 -2012,4,28,5,30,0,0,0,4.6000000000000005,10,96.43,880,2 -2012,4,28,6,30,55,34,235,5.300000000000001,10,84.79,880,1 -2012,4,28,7,30,256,80,591,6.4,12,72.72,880,-2 -2012,4,28,8,30,480,103,764,6.4,15,60.47,880,-6 -2012,4,28,9,30,618,193,639,5.7,17,48.33,880,-7 -2012,4,28,10,30,768,279,610,5,19,36.75,880,-6 -2012,4,28,11,30,808,405,450,4,20,26.77,880,-5 -2012,4,28,12,30,889,428,494,2.9000000000000004,21,21.03,880,-5 -2012,4,28,13,30,842,433,445,1.9000000000000001,22,23.06,880,-4 -2012,4,28,14,30,828,317,598,1.4000000000000001,23,31.35,880,-3 -2012,4,28,15,30,681,263,565,1.4000000000000001,23,42.32,880,-3 -2012,4,28,16,30,581,118,793,1.9000000000000001,23,54.24,880,-3 -2012,4,28,17,30,366,93,683,2.5,22,66.46000000000001,880,-3 -2012,4,28,18,30,148,61,442,2.9000000000000004,19,78.64,880,-2 -2012,4,28,19,30,0,0,0,3.5,17,90.51,880,0 -2012,4,28,20,30,0,0,0,4,16,101.79,880,0 -2012,4,28,21,30,0,0,0,4,15,112.08,880,1 -2012,4,28,22,30,0,0,0,3.8000000000000003,14,120.8,880,3 -2012,4,28,23,30,0,0,0,3.4000000000000004,13,127.10000000000001,880,5 -2012,4,29,0,30,0,0,0,3.2,13,130.05,880,6 -2012,4,29,1,30,0,0,0,3.3000000000000003,12,129.04,880,7 -2012,4,29,2,30,0,0,0,3.5,11,124.29,880,8 -2012,4,29,3,30,0,0,0,4,11,116.66,880,8 -2012,4,29,4,30,0,0,0,4.2,11,107.06,880,9 -2012,4,29,5,30,0,0,0,4.2,11,96.21000000000001,880,9 -2012,4,29,6,30,32,31,7,4.3,11,84.59,890,9 -2012,4,29,7,30,231,116,381,4.6000000000000005,13,72.52,890,9 -2012,4,29,8,30,334,229,213,4.7,15,60.28,890,9 -2012,4,29,9,30,170,166,5,4.4,18,48.13,890,9 -2012,4,29,10,30,808,186,772,3.7,20,36.52,890,9 -2012,4,29,11,30,917,196,805,3.2,21,26.5,880,10 -2012,4,29,12,30,972,180,846,3.1,22,20.72,880,10 -2012,4,29,13,30,954,178,841,3.2,23,22.79,880,10 -2012,4,29,14,30,873,170,821,3.3000000000000003,24,31.16,880,10 -2012,4,29,15,30,735,158,778,3.3000000000000003,24,42.160000000000004,880,10 -2012,4,29,16,30,552,142,699,3.3000000000000003,24,54.1,880,10 -2012,4,29,17,30,335,127,517,3.2,23,66.32000000000001,880,10 -2012,4,29,18,30,129,61,343,2.6,20,78.5,880,11 -2012,4,29,19,30,0,0,0,2.6,19,90.35000000000001,880,12 -2012,4,29,20,30,0,0,0,3.5,18,101.61,880,12 -2012,4,29,21,30,0,0,0,4.1000000000000005,18,111.87,880,12 -2012,4,29,22,30,0,0,0,4.1000000000000005,17,120.55,880,13 -2012,4,29,23,30,0,0,0,3.8000000000000003,17,126.82000000000001,880,14 -2012,4,30,0,30,0,0,0,3.5,16,129.74,880,15 -2012,4,30,1,30,0,0,0,3.4000000000000004,16,128.73,880,15 -2012,4,30,2,30,0,0,0,3.5,15,124,880,15 -2012,4,30,3,30,0,0,0,3.3000000000000003,14,116.39,880,14 -2012,4,30,4,30,0,0,0,3,14,106.82000000000001,880,14 -2012,4,30,5,30,0,0,0,2.6,14,96,880,14 -2012,4,30,6,30,51,40,112,2.7,15,84.39,880,14 -2012,4,30,7,30,33,33,0,3,17,72.33,880,14 -2012,4,30,8,30,157,155,4,3,19,60.09,880,14 -2012,4,30,9,30,512,301,314,2.7,22,47.93,880,13 -2012,4,30,10,30,821,152,829,2.8000000000000003,25,36.300000000000004,880,11 -2012,4,30,11,30,934,154,869,3.2,27,26.23,880,9 -2012,4,30,12,30,983,161,877,3.7,29,20.41,880,8 -2012,4,30,13,30,970,154,883,4.1000000000000005,30,22.52,880,6 -2012,4,30,14,30,769,374,460,4.4,30,30.96,880,5 -2012,4,30,15,30,147,144,3,4.5,30,42,880,3 -2012,4,30,16,30,56,56,0,4.3,29,53.96,880,2 -2012,4,30,17,30,358,75,700,3,27,66.19,880,1 -2012,4,30,18,30,155,56,490,1.7000000000000002,23,78.35000000000001,880,6 -2012,4,30,19,30,0,0,0,1.7000000000000002,20,90.19,880,7 -2012,4,30,20,30,0,0,0,2.4000000000000004,18,101.43,880,6 -2012,4,30,21,30,0,0,0,3.6,18,111.67,880,6 -2012,4,30,22,30,0,0,0,4.4,18,120.31,880,9 -2012,4,30,23,30,0,0,0,4.6000000000000005,17,126.55,880,12 -2012,5,1,0,30,0,0,0,4.5,17,129.44,880,13 -2012,5,1,1,30,0,0,0,4.3,16,128.43,880,14 -2012,5,1,2,30,0,0,0,3.8000000000000003,15,123.72,880,14 -2012,5,1,3,30,0,0,0,3.3000000000000003,14,116.14,880,14 -2012,5,1,4,30,0,0,0,3.1,13,106.59,880,13 -2012,5,1,5,30,0,0,0,3.2,13,95.78,880,11 -2012,5,1,6,30,64,34,294,3.7,14,84.19,880,8 -2012,5,1,7,30,271,69,659,3.7,17,72.14,880,4 -2012,5,1,8,30,496,88,814,4,22,59.9,880,1 -2012,5,1,9,30,702,101,894,4.6000000000000005,26,47.74,880,-2 -2012,5,1,10,30,869,109,940,4.7,29,36.09,880,-4 -2012,5,1,11,30,983,113,967,5,31,25.97,880,-4 -2012,5,1,12,30,1035,112,982,5.5,32,20.11,880,-3 -2012,5,1,13,30,1018,110,981,6,33,22.26,880,-3 -2012,5,1,14,30,936,105,966,6.4,33,30.77,880,-3 -2012,5,1,15,30,790,107,918,6.5,33,41.85,880,-3 -2012,5,1,16,30,602,95,858,6.2,32,53.82,880,-4 -2012,5,1,17,30,384,80,749,4.6000000000000005,30,66.05,880,-3 -2012,5,1,18,30,162,54,525,2.5,26,78.21000000000001,880,-1 -2012,5,1,19,30,0,0,0,1.8,22,90.04,880,1 -2012,5,1,20,30,0,0,0,1.8,20,101.25,880,1 -2012,5,1,21,30,0,0,0,1.9000000000000001,19,111.46000000000001,880,0 -2012,5,1,22,30,0,0,0,2.1,18,120.07000000000001,880,0 -2012,5,1,23,30,0,0,0,2.4000000000000004,17,126.27,880,0 -2012,5,2,0,30,0,0,0,3.1,17,129.15,880,0 -2012,5,2,1,30,0,0,0,4.1000000000000005,16,128.13,880,-1 -2012,5,2,2,30,0,0,0,4.5,15,123.44,880,-1 -2012,5,2,3,30,0,0,0,4.2,14,115.88,880,-1 -2012,5,2,4,30,0,0,0,3.8000000000000003,13,106.36,880,-1 -2012,5,2,5,30,0,0,0,3.7,13,95.58,880,-1 -2012,5,2,6,30,67,34,317,4.1000000000000005,15,84,880,0 -2012,5,2,7,30,274,69,663,4.3,19,71.96000000000001,880,0 -2012,5,2,8,30,500,87,820,4.4,24,59.72,880,0 -2012,5,2,9,30,710,96,908,4.800000000000001,28,47.550000000000004,880,0 -2012,5,2,10,30,880,101,961,5,30,35.88,880,-2 -2012,5,2,11,30,996,102,992,5.1000000000000005,32,25.72,880,-3 -2012,5,2,12,30,1046,105,999,5.300000000000001,33,19.82,880,-5 -2012,5,2,13,30,1031,101,1002,5.6000000000000005,34,22,880,-6 -2012,5,2,14,30,949,96,990,5.800000000000001,34,30.580000000000002,880,-7 -2012,5,2,15,30,806,93,954,5.9,34,41.69,880,-7 -2012,5,2,16,30,616,84,898,5.7,33,53.68,880,-7 -2012,5,2,17,30,396,71,796,4.3,31,65.92,880,-7 -2012,5,2,18,30,171,49,589,2.6,27,78.07000000000001,880,-3 -2012,5,2,19,30,0,0,0,2.1,23,89.88,880,0 -2012,5,2,20,30,0,0,0,2.4000000000000004,21,101.08,880,0 -2012,5,2,21,30,0,0,0,2.9000000000000004,20,111.25,880,-1 -2012,5,2,22,30,0,0,0,3.7,19,119.83,880,-3 -2012,5,2,23,30,0,0,0,4.2,18,126,880,-7 -2012,5,3,0,30,0,0,0,4.3,17,128.86,880,-9 -2012,5,3,1,30,0,0,0,4.1000000000000005,15,127.84,880,-9 -2012,5,3,2,30,0,0,0,4,15,123.16,880,-8 -2012,5,3,3,30,0,0,0,3.6,14,115.63,880,-6 -2012,5,3,4,30,0,0,0,3,13,106.14,880,-5 -2012,5,3,5,30,0,0,0,2.5,13,95.37,880,-4 -2012,5,3,6,30,49,36,118,3,14,83.81,880,-3 -2012,5,3,7,30,265,59,659,3.3000000000000003,18,71.78,880,-3 -2012,5,3,8,30,506,83,834,3,22,59.550000000000004,880,0 -2012,5,3,9,30,708,99,898,3.2,26,47.37,880,0 -2012,5,3,10,30,871,108,938,3.9000000000000004,29,35.68,880,-1 -2012,5,3,11,30,981,116,958,4.6000000000000005,31,25.47,880,-3 -2012,5,3,12,30,1030,120,964,5.4,32,19.52,880,-5 -2012,5,3,13,30,1012,124,956,5.9,33,21.75,880,-6 -2012,5,3,14,30,930,120,939,6.1000000000000005,33,30.39,880,-7 -2012,5,3,15,30,422,357,87,6.300000000000001,34,41.54,880,-7 -2012,5,3,16,30,606,94,862,6.1000000000000005,33,53.550000000000004,880,-7 -2012,5,3,17,30,389,78,759,5,31,65.78,880,-6 -2012,5,3,18,30,168,53,549,3.1,27,77.93,880,-3 -2012,5,3,19,30,0,0,0,2.2,23,89.72,880,0 -2012,5,3,20,30,0,0,0,2.2,21,100.9,880,-1 -2012,5,3,21,30,0,0,0,2.3000000000000003,20,111.05,880,-1 -2012,5,3,22,30,0,0,0,2.9000000000000004,19,119.60000000000001,880,-2 -2012,5,3,23,30,0,0,0,3.7,19,125.73,880,-4 -2012,5,4,0,30,0,0,0,4.1000000000000005,18,128.57,880,-6 -2012,5,4,1,30,0,0,0,3.9000000000000004,17,127.55,880,-7 -2012,5,4,2,30,0,0,0,3.4000000000000004,16,122.89,880,-7 -2012,5,4,3,30,0,0,0,3,14,115.39,880,-6 -2012,5,4,4,30,0,0,0,2.9000000000000004,13,105.92,880,-6 -2012,5,4,5,30,0,0,0,3.1,13,95.17,880,-6 -2012,5,4,6,30,79,32,422,3.8000000000000003,15,83.63,880,-6 -2012,5,4,7,30,292,60,734,4.1000000000000005,19,71.61,880,-7 -2012,5,4,8,30,517,77,862,4,23,59.38,880,-6 -2012,5,4,9,30,720,90,926,4.3,28,47.19,880,-5 -2012,5,4,10,30,882,99,961,4.6000000000000005,31,35.480000000000004,880,-5 -2012,5,4,11,30,991,105,979,4.800000000000001,32,25.23,880,-5 -2012,5,4,12,30,1038,109,984,4.9,33,19.240000000000002,880,-4 -2012,5,4,13,30,1022,107,982,5,34,21.5,880,-4 -2012,5,4,14,30,940,102,969,5,35,30.2,880,-4 -2012,5,4,15,30,798,99,931,5.1000000000000005,35,41.39,880,-5 -2012,5,4,16,30,612,88,879,4.9,34,53.410000000000004,880,-5 -2012,5,4,17,30,397,72,787,3.8000000000000003,32,65.65,880,-6 -2012,5,4,18,30,175,49,595,2.4000000000000004,28,77.78,880,-2 -2012,5,4,19,30,0,0,0,1.9000000000000001,23,89.57000000000001,880,0 -2012,5,4,20,30,0,0,0,2,21,100.72,880,-1 -2012,5,4,21,30,0,0,0,2.2,20,110.85000000000001,880,-2 -2012,5,4,22,30,0,0,0,2.5,20,119.36,880,-3 -2012,5,4,23,30,0,0,0,2.9000000000000004,19,125.47,880,-4 -2012,5,5,0,30,0,0,0,3.4000000000000004,18,128.29,880,-4 -2012,5,5,1,30,0,0,0,3.7,17,127.27,880,-5 -2012,5,5,2,30,0,0,0,3.8000000000000003,16,122.63,880,-6 -2012,5,5,3,30,0,0,0,3.6,15,115.15,880,-6 -2012,5,5,4,30,0,0,0,3,14,105.7,880,-6 -2012,5,5,5,30,0,0,0,2.8000000000000003,14,94.98,880,-5 -2012,5,5,6,30,81,33,418,3.4000000000000004,16,83.45,880,-5 -2012,5,5,7,30,295,63,728,3.7,20,71.44,880,-5 -2012,5,5,8,30,521,79,864,3.5,25,59.21,880,-4 -2012,5,5,9,30,726,88,936,3.7,30,47.02,880,-5 -2012,5,5,10,30,891,96,974,3.9000000000000004,33,35.29,880,-7 -2012,5,5,11,30,1002,102,993,4,34,25,880,-7 -2012,5,5,12,30,1046,117,982,4.3,35,18.95,880,-7 -2012,5,5,13,30,954,298,704,4.7,36,21.26,880,-7 -2012,5,5,14,30,944,118,953,5.1000000000000005,36,30.02,880,-7 -2012,5,5,15,30,805,108,927,5.6000000000000005,35,41.25,880,-8 -2012,5,5,16,30,554,147,679,5.800000000000001,34,53.28,880,-8 -2012,5,5,17,30,338,119,528,4.9,32,65.51,880,-9 -2012,5,5,18,30,3,3,0,2.9000000000000004,28,77.64,880,-7 -2012,5,5,19,30,0,0,0,1.8,24,89.42,880,-3 -2012,5,5,20,30,0,0,0,1.9000000000000001,22,100.55,880,-2 -2012,5,5,21,30,0,0,0,2.5,22,110.65,880,-3 -2012,5,5,22,30,0,0,0,3,21,119.13,880,-5 -2012,5,5,23,30,0,0,0,3.1,20,125.21000000000001,880,-6 -2012,5,6,0,30,0,0,0,3.1,19,128.01,880,-6 -2012,5,6,1,30,0,0,0,3.2,18,126.99000000000001,880,-6 -2012,5,6,2,30,0,0,0,3.2,17,122.37,880,-6 -2012,5,6,3,30,0,0,0,3.3000000000000003,16,114.91,880,-6 -2012,5,6,4,30,0,0,0,3.6,16,105.49000000000001,880,-5 -2012,5,6,5,30,0,0,0,4.3,16,94.79,880,-2 -2012,5,6,6,30,67,36,269,5.9,16,83.28,880,4 -2012,5,6,7,30,170,129,129,7.4,18,71.28,880,10 -2012,5,6,8,30,359,219,271,7.800000000000001,20,59.050000000000004,880,11 -2012,5,6,9,30,484,325,232,7.7,21,46.85,880,10 -2012,5,6,10,30,658,386,333,7.6000000000000005,22,35.1,890,10 -2012,5,6,11,30,591,459,145,7.2,22,24.77,890,8 -2012,5,6,12,30,525,462,67,6.7,23,18.68,890,7 -2012,5,6,13,30,468,425,46,6.1000000000000005,24,21.02,890,6 -2012,5,6,14,30,474,414,68,5.5,25,29.84,880,6 -2012,5,6,15,30,530,371,211,5.1000000000000005,24,41.1,880,6 -2012,5,6,16,30,348,277,118,4.7,23,53.15,880,6 -2012,5,6,17,30,381,87,707,4.3,22,65.38,880,6 -2012,5,6,18,30,166,59,498,3.7,20,77.51,890,6 -2012,5,6,19,30,0,0,0,3.4000000000000004,18,89.26,890,7 -2012,5,6,20,30,0,0,0,3.7,16,100.38,890,7 -2012,5,6,21,30,0,0,0,4,14,110.45,890,7 -2012,5,6,22,30,0,0,0,4.1000000000000005,13,118.9,890,8 -2012,5,6,23,30,0,0,0,4.1000000000000005,13,124.95,890,8 -2012,5,7,0,30,0,0,0,4.2,12,127.73,890,8 -2012,5,7,1,30,0,0,0,4.3,11,126.72,890,8 -2012,5,7,2,30,0,0,0,4.4,11,122.11,890,8 -2012,5,7,3,30,0,0,0,4.6000000000000005,11,114.68,890,7 -2012,5,7,4,30,0,0,0,4.7,11,105.29,890,6 -2012,5,7,5,30,0,0,0,4.800000000000001,11,94.60000000000001,890,6 -2012,5,7,6,30,19,19,0,5.2,11,83.11,890,5 -2012,5,7,7,30,82,82,0,5.5,13,71.12,890,4 -2012,5,7,8,30,239,214,48,5.6000000000000005,15,58.89,890,4 -2012,5,7,9,30,393,323,101,5.7,17,46.69,890,4 -2012,5,7,10,30,419,373,55,5.6000000000000005,19,34.92,890,4 -2012,5,7,11,30,550,460,98,5.4,21,24.54,890,4 -2012,5,7,12,30,395,370,26,5.1000000000000005,22,18.400000000000002,890,4 -2012,5,7,13,30,469,426,46,4.7,23,20.78,890,4 -2012,5,7,14,30,391,361,33,4.6000000000000005,23,29.67,890,4 -2012,5,7,15,30,447,366,106,4.800000000000001,22,40.96,890,4 -2012,5,7,16,30,410,275,223,5,21,53.01,890,4 -2012,5,7,17,30,175,160,35,5.1000000000000005,20,65.25,890,4 -2012,5,7,18,30,117,87,138,4.800000000000001,18,77.37,890,4 -2012,5,7,19,30,0,0,0,4.4,16,89.11,890,4 -2012,5,7,20,30,0,0,0,3.9000000000000004,14,100.21000000000001,890,4 -2012,5,7,21,30,0,0,0,3.2,12,110.25,890,4 -2012,5,7,22,30,0,0,0,2.5,12,118.68,890,3 -2012,5,7,23,30,0,0,0,2.4000000000000004,11,124.7,890,3 -2012,5,8,0,30,0,0,0,1.9000000000000001,10,127.46000000000001,890,3 -2012,5,8,1,30,0,0,0,1.5,9,126.45,890,2 -2012,5,8,2,30,0,0,0,1.9000000000000001,9,121.86,890,2 -2012,5,8,3,30,0,0,0,2.5,10,114.45,890,2 -2012,5,8,4,30,0,0,0,2.8000000000000003,9,105.08,890,1 -2012,5,8,5,30,0,0,0,3.2,9,94.42,890,1 -2012,5,8,6,30,21,21,0,3.4000000000000004,10,82.94,890,1 -2012,5,8,7,30,77,77,0,3.7,12,70.96000000000001,890,0 -2012,5,8,8,30,141,141,0,3.9000000000000004,13,58.74,890,0 -2012,5,8,9,30,232,222,13,3.9000000000000004,15,46.54,890,0 -2012,5,8,10,30,649,392,312,3.7,16,34.74,890,0 -2012,5,8,11,30,567,466,110,3.5,18,24.330000000000002,890,1 -2012,5,8,12,30,871,457,435,3.4000000000000004,19,18.14,890,2 -2012,5,8,13,30,691,470,235,3,20,20.54,890,2 -2012,5,8,14,30,458,407,59,2.5,21,29.5,890,2 -2012,5,8,15,30,488,374,150,2.3000000000000003,21,40.81,890,3 -2012,5,8,16,30,338,276,102,2.2,20,52.88,890,3 -2012,5,8,17,30,271,173,233,2.4000000000000004,19,65.12,890,3 -2012,5,8,18,30,7,7,0,1.8,17,77.23,890,3 -2012,5,8,19,30,9,8,28,1,15,88.96000000000001,890,4 -2012,5,8,20,30,0,0,0,0.9,13,100.04,890,4 -2012,5,8,21,30,0,0,0,1,13,110.06,890,4 -2012,5,8,22,30,0,0,0,0.9,12,118.45,890,3 -2012,5,8,23,30,0,0,0,0.9,12,124.45,890,3 -2012,5,9,0,30,0,0,0,0.9,11,127.2,890,3 -2012,5,9,1,30,0,0,0,1,10,126.18,890,3 -2012,5,9,2,30,0,0,0,1,10,121.61,890,3 -2012,5,9,3,30,0,0,0,1,9,114.23,890,3 -2012,5,9,4,30,0,0,0,1.1,8,104.89,890,3 -2012,5,9,5,30,0,0,0,1.2000000000000002,9,94.25,890,3 -2012,5,9,6,30,82,41,330,1.7000000000000002,11,82.78,890,3 -2012,5,9,7,30,287,78,637,1.4000000000000001,15,70.81,890,3 -2012,5,9,8,30,507,98,784,0.5,18,58.6,890,3 -2012,5,9,9,30,709,111,867,0.6000000000000001,21,46.39,890,2 -2012,5,9,10,30,873,119,915,0.9,23,34.58,890,2 -2012,5,9,11,30,984,123,942,1.2000000000000002,24,24.12,890,1 -2012,5,9,12,30,1034,121,959,1.6,25,17.87,890,0 -2012,5,9,13,30,1017,119,957,1.9000000000000001,26,20.32,890,0 -2012,5,9,14,30,936,115,941,2.1,27,29.330000000000002,890,0 -2012,5,9,15,30,797,108,907,2.3000000000000003,26,40.68,890,-1 -2012,5,9,16,30,612,98,850,2.5,25,52.76,880,-1 -2012,5,9,17,30,398,82,747,2.6,24,64.99,880,-1 -2012,5,9,18,30,179,58,542,2,22,77.09,880,-1 -2012,5,9,19,30,12,10,62,1.8,19,88.81,890,1 -2012,5,9,20,30,0,0,0,2.5,17,99.87,890,0 -2012,5,9,21,30,0,0,0,3.2,17,109.86,890,0 -2012,5,9,22,30,0,0,0,3.7,16,118.23,890,0 -2012,5,9,23,30,0,0,0,3.8000000000000003,15,124.2,890,0 -2012,5,10,0,30,0,0,0,3.9000000000000004,14,126.94,890,1 -2012,5,10,1,30,0,0,0,3.9000000000000004,14,125.93,890,1 -2012,5,10,2,30,0,0,0,3.6,13,121.37,880,2 -2012,5,10,3,30,0,0,0,3,13,114.02,880,3 -2012,5,10,4,30,0,0,0,2.5,12,104.7,880,4 -2012,5,10,5,30,0,0,0,2.6,12,94.08,880,4 -2012,5,10,6,30,83,43,313,3,13,82.63,880,5 -2012,5,10,7,30,198,130,207,3.2,17,70.67,880,5 -2012,5,10,8,30,403,201,384,3.2,20,58.46,880,6 -2012,5,10,9,30,529,313,312,3.6,22,46.24,880,5 -2012,5,10,10,30,716,345,449,4.2,23,34.410000000000004,880,4 -2012,5,10,11,30,825,424,438,4.5,24,23.91,880,4 -2012,5,10,12,30,764,484,293,4.6000000000000005,23,17.62,880,4 -2012,5,10,13,30,794,435,382,4.7,23,20.09,880,4 -2012,5,10,14,30,648,445,232,4.7,22,29.16,880,5 -2012,5,10,15,30,457,371,112,4.4,21,40.54,880,5 -2012,5,10,16,30,364,282,135,3.8000000000000003,19,52.63,880,6 -2012,5,10,17,30,207,175,73,3.6,18,64.87,880,6 -2012,5,10,18,30,66,66,0,3.6,17,76.96000000000001,880,7 -2012,5,10,19,30,3,3,0,3.2,16,88.66,880,7 -2012,5,10,20,30,0,0,0,2.3000000000000003,15,99.7,880,8 -2012,5,10,21,30,0,0,0,1.5,14,109.67,880,8 -2012,5,10,22,30,0,0,0,1.2000000000000002,14,118.02,880,9 -2012,5,10,23,30,0,0,0,1,13,123.96000000000001,880,9 -2012,5,11,0,30,0,0,0,0.6000000000000001,13,126.68,880,10 -2012,5,11,1,30,0,0,0,0.30000000000000004,13,125.67,880,10 -2012,5,11,2,30,0,0,0,0.7000000000000001,12,121.14,880,10 -2012,5,11,3,30,0,0,0,1.3,12,113.81,880,11 -2012,5,11,4,30,0,0,0,1.9000000000000001,12,104.51,880,10 -2012,5,11,5,30,0,0,0,2.5,12,93.91,880,10 -2012,5,11,6,30,31,31,0,3,12,82.48,880,10 -2012,5,11,7,30,59,59,0,3.3000000000000003,13,70.53,880,10 -2012,5,11,8,30,74,74,0,3.6,14,58.32,890,10 -2012,5,11,9,30,198,192,9,4,15,46.1,890,10 -2012,5,11,10,30,262,250,14,4.4,16,34.26,890,10 -2012,5,11,11,30,304,288,17,4.6000000000000005,16,23.71,890,10 -2012,5,11,12,30,370,348,22,4.9,16,17.36,890,9 -2012,5,11,13,30,402,375,28,5,17,19.87,890,9 -2012,5,11,14,30,399,368,35,5,17,28.990000000000002,890,8 -2012,5,11,15,30,540,374,217,5,16,40.4,890,8 -2012,5,11,16,30,485,244,395,4.9,16,52.5,890,8 -2012,5,11,17,30,370,132,557,4.7,15,64.74,890,8 -2012,5,11,18,30,167,81,378,3.9000000000000004,14,76.82000000000001,890,8 -2012,5,11,19,30,11,10,36,2.5,12,88.51,890,8 -2012,5,11,20,30,0,0,0,1.5,10,99.53,890,8 -2012,5,11,21,30,0,0,0,1,10,109.48,890,8 -2012,5,11,22,30,0,0,0,0.8,9,117.8,890,8 -2012,5,11,23,30,0,0,0,0.9,9,123.72,890,8 -2012,5,12,0,30,0,0,0,1.1,8,126.43,890,7 -2012,5,12,1,30,0,0,0,1.2000000000000002,8,125.43,890,7 -2012,5,12,2,30,0,0,0,1.5,7,120.91,890,7 -2012,5,12,3,30,0,0,0,1.7000000000000002,7,113.60000000000001,890,7 -2012,5,12,4,30,0,0,0,1.9000000000000001,7,104.33,890,7 -2012,5,12,5,30,0,0,0,2.4000000000000004,7,93.75,890,7 -2012,5,12,6,30,85,47,285,3.3000000000000003,9,82.33,890,7 -2012,5,12,7,30,282,91,570,4,12,70.39,890,7 -2012,5,12,8,30,493,118,713,4.3,15,58.19,890,6 -2012,5,12,9,30,449,334,165,4.2,17,45.97,900,6 -2012,5,12,10,30,469,400,83,3.9000000000000004,19,34.1,890,6 -2012,5,12,11,30,368,346,24,3.5,20,23.52,890,6 -2012,5,12,12,30,342,323,19,3.2,21,17.12,890,6 -2012,5,12,13,30,387,363,25,3,22,19.650000000000002,890,6 -2012,5,12,14,30,358,335,25,2.7,21,28.830000000000002,890,6 -2012,5,12,15,30,630,321,404,2.4000000000000004,21,40.27,890,6 -2012,5,12,16,30,587,134,741,2.2,20,52.38,890,6 -2012,5,12,17,30,380,109,632,2.2,19,64.61,890,6 -2012,5,12,18,30,172,73,429,1.8,17,76.69,890,6 -2012,5,12,19,30,13,12,47,1.4000000000000001,15,88.37,890,7 -2012,5,12,20,30,0,0,0,1.5,14,99.37,890,7 -2012,5,12,21,30,0,0,0,1.5,13,109.3,890,6 -2012,5,12,22,30,0,0,0,1.4000000000000001,12,117.59,890,6 -2012,5,12,23,30,0,0,0,1.1,12,123.49000000000001,890,6 -2012,5,13,0,30,0,0,0,0.8,11,126.18,890,6 -2012,5,13,1,30,0,0,0,0.6000000000000001,11,125.18,890,7 -2012,5,13,2,30,0,0,0,0.4,11,120.69,890,7 -2012,5,13,3,30,0,0,0,0.2,10,113.4,890,7 -2012,5,13,4,30,0,0,0,0.2,10,104.15,890,7 -2012,5,13,5,30,0,0,0,0.30000000000000004,10,93.59,890,7 -2012,5,13,6,30,24,24,0,1,11,82.19,900,7 -2012,5,13,7,30,176,141,104,1.7000000000000002,14,70.26,900,8 -2012,5,13,8,30,485,136,660,1.9000000000000001,17,58.06,900,8 -2012,5,13,9,30,677,160,741,1.8,19,45.84,890,9 -2012,5,13,10,30,356,331,29,1.8,20,33.96,890,9 -2012,5,13,11,30,266,252,15,1.8,20,23.34,890,9 -2012,5,13,12,30,388,365,24,1.9000000000000001,20,16.88,890,9 -2012,5,13,13,30,394,369,26,2,19,19.44,890,10 -2012,5,13,14,30,513,434,90,2.1,18,28.67,890,10 -2012,5,13,15,30,116,116,0,2.1,17,40.14,890,11 -2012,5,13,16,30,176,173,6,2.3000000000000003,17,52.25,890,11 -2012,5,13,17,30,155,149,13,2.5,16,64.49,890,11 -2012,5,13,18,30,46,46,0,2.2,15,76.56,890,12 -2012,5,13,19,30,2,2,0,1.8,14,88.22,890,12 -2012,5,13,20,30,0,0,0,1.5,13,99.21000000000001,890,12 -2012,5,13,21,30,0,0,0,0.9,13,109.11,890,12 -2012,5,13,22,30,0,0,0,0.6000000000000001,13,117.38,890,12 -2012,5,13,23,30,0,0,0,0.9,13,123.26,890,12 -2012,5,14,0,30,0,0,0,1.4000000000000001,12,125.94,890,11 -2012,5,14,1,30,0,0,0,1.5,12,124.95,890,11 -2012,5,14,2,30,0,0,0,1.4000000000000001,12,120.47,890,11 -2012,5,14,3,30,0,0,0,1.1,12,113.21000000000001,890,11 -2012,5,14,4,30,0,0,0,0.7000000000000001,12,103.98,890,11 -2012,5,14,5,30,0,0,0,0.6000000000000001,12,93.44,890,11 -2012,5,14,6,30,11,11,0,0.9,12,82.05,890,11 -2012,5,14,7,30,49,49,0,1.6,13,70.14,890,11 -2012,5,14,8,30,36,36,0,2.4000000000000004,14,57.94,890,11 -2012,5,14,9,30,84,84,0,3.1,15,45.71,890,11 -2012,5,14,10,30,239,228,13,3.4000000000000004,16,33.82,890,10 -2012,5,14,11,30,446,407,42,3.3000000000000003,17,23.16,890,10 -2012,5,14,12,30,578,488,94,3.3000000000000003,17,16.64,890,10 -2012,5,14,13,30,724,486,252,3.2,17,19.23,890,10 -2012,5,14,14,30,722,405,361,2.9000000000000004,17,28.52,890,10 -2012,5,14,15,30,699,278,550,2.3000000000000003,17,40,890,10 -2012,5,14,16,30,559,174,627,1.6,17,52.13,890,10 -2012,5,14,17,30,385,105,647,1,17,64.37,890,9 -2012,5,14,18,30,178,70,460,0.6000000000000001,16,76.43,890,9 -2012,5,14,19,30,16,13,61,0.7000000000000001,13,88.08,890,10 -2012,5,14,20,30,0,0,0,0.9,11,99.05,890,9 -2012,5,14,21,30,0,0,0,1,11,108.93,890,8 -2012,5,14,22,30,0,0,0,1.2000000000000002,10,117.18,890,8 -2012,5,14,23,30,0,0,0,1.3,10,123.03,890,9 -2012,5,15,0,30,0,0,0,1.5,9,125.71000000000001,890,9 -2012,5,15,1,30,0,0,0,1.7000000000000002,9,124.72,890,9 -2012,5,15,2,30,0,0,0,2,8,120.25,890,9 -2012,5,15,3,30,0,0,0,2.1,8,113.02,890,8 -2012,5,15,4,30,0,0,0,2.2,8,103.82000000000001,890,8 -2012,5,15,5,30,0,0,0,2.6,8,93.3,890,8 -2012,5,15,6,30,96,45,366,3.2,10,81.92,890,8 -2012,5,15,7,30,301,79,649,3,14,70.02,890,8 -2012,5,15,8,30,518,100,784,2.1,19,57.83,890,7 -2012,5,15,9,30,715,115,856,1.2000000000000002,22,45.6,890,5 -2012,5,15,10,30,873,127,897,0.6000000000000001,23,33.68,890,5 -2012,5,15,11,30,980,134,918,0.30000000000000004,25,22.98,890,5 -2012,5,15,12,30,1028,134,931,0.2,26,16.41,890,4 -2012,5,15,13,30,1011,134,927,0.2,26,19.03,890,4 -2012,5,15,14,30,931,130,910,0.2,27,28.36,890,4 -2012,5,15,15,30,794,124,872,0.30000000000000004,27,39.88,890,4 -2012,5,15,16,30,613,111,815,0.4,26,52.01,890,3 -2012,5,15,17,30,403,92,714,0.5,25,64.24,890,3 -2012,5,15,18,30,188,65,519,0.7000000000000001,23,76.3,890,4 -2012,5,15,19,30,18,14,94,1,19,87.94,890,7 -2012,5,15,20,30,0,0,0,1.2000000000000002,17,98.89,890,6 -2012,5,15,21,30,0,0,0,1.4000000000000001,16,108.75,890,5 -2012,5,15,22,30,0,0,0,1.5,14,116.97,890,5 -2012,5,15,23,30,0,0,0,1.6,14,122.81,890,5 -2012,5,16,0,30,0,0,0,1.6,13,125.47,890,4 -2012,5,16,1,30,0,0,0,1.7000000000000002,12,124.49000000000001,890,4 -2012,5,16,2,30,0,0,0,1.7000000000000002,12,120.05,890,3 -2012,5,16,3,30,0,0,0,1.8,11,112.84,890,3 -2012,5,16,4,30,0,0,0,1.8,10,103.66,890,3 -2012,5,16,5,30,0,0,0,1.9000000000000001,11,93.16,890,3 -2012,5,16,6,30,98,45,369,2.6,13,81.8,890,3 -2012,5,16,7,30,305,80,653,3,17,69.9,890,3 -2012,5,16,8,30,523,101,791,1.7000000000000002,21,57.72,890,4 -2012,5,16,9,30,723,115,866,0.8,25,45.480000000000004,890,2 -2012,5,16,10,30,883,125,910,1.3,27,33.56,890,2 -2012,5,16,11,30,991,130,933,1.8,28,22.82,890,2 -2012,5,16,12,30,1039,130,945,2.2,29,16.19,890,1 -2012,5,16,13,30,1021,129,942,2.5,29,18.830000000000002,890,1 -2012,5,16,14,30,940,125,925,2.8000000000000003,29,28.21,890,1 -2012,5,16,15,30,805,114,898,2.9000000000000004,29,39.75,890,1 -2012,5,16,16,30,622,102,842,3,28,51.89,890,1 -2012,5,16,17,30,411,85,746,2.4000000000000004,27,64.12,890,1 -2012,5,16,18,30,194,60,560,1.5,23,76.17,890,4 -2012,5,16,19,30,20,15,120,1.4000000000000001,20,87.8,890,6 -2012,5,16,20,30,0,0,0,1.8,18,98.73,890,5 -2012,5,16,21,30,0,0,0,2.2,17,108.57000000000001,890,4 -2012,5,16,22,30,0,0,0,2.4000000000000004,16,116.78,890,4 -2012,5,16,23,30,0,0,0,2.4000000000000004,15,122.60000000000001,890,3 -2012,5,17,0,30,0,0,0,2.5,14,125.25,890,3 -2012,5,17,1,30,0,0,0,3,14,124.27,890,3 -2012,5,17,2,30,0,0,0,3.5,13,119.85000000000001,890,3 -2012,5,17,3,30,0,0,0,3.6,13,112.66,890,2 -2012,5,17,4,30,0,0,0,3.5,12,103.5,890,2 -2012,5,17,5,30,0,0,0,3.6,12,93.02,890,2 -2012,5,17,6,30,98,37,421,4.1000000000000005,14,81.68,890,2 -2012,5,17,7,30,265,100,476,4.6000000000000005,18,69.79,890,3 -2012,5,17,8,30,470,138,620,5.7,22,57.61,890,4 -2012,5,17,9,30,703,149,789,6.6000000000000005,25,45.38,890,3 -2012,5,17,10,30,862,156,846,6.6000000000000005,27,33.43,880,2 -2012,5,17,11,30,501,442,64,6.6000000000000005,29,22.66,880,1 -2012,5,17,12,30,1027,139,923,6.5,30,15.97,880,1 -2012,5,17,13,30,1012,133,927,6.5,31,18.63,880,1 -2012,5,17,14,30,934,123,918,6.5,32,28.07,880,1 -2012,5,17,15,30,787,135,846,6.4,31,39.62,880,1 -2012,5,17,16,30,604,127,771,6.300000000000001,30,51.77,880,1 -2012,5,17,17,30,389,120,614,6.1000000000000005,29,64,880,1 -2012,5,17,18,30,177,90,361,5.800000000000001,26,76.04,880,2 -2012,5,17,19,30,16,14,36,5.7,24,87.66,880,2 -2012,5,17,20,30,0,0,0,5.800000000000001,22,98.57000000000001,880,2 -2012,5,17,21,30,0,0,0,5.7,20,108.4,880,2 -2012,5,17,22,30,0,0,0,5.6000000000000005,19,116.58,880,2 -2012,5,17,23,30,0,0,0,5.800000000000001,18,122.38,880,2 -2012,5,18,0,30,0,0,0,6,18,125.03,880,3 -2012,5,18,1,30,0,0,0,6.2,17,124.06,880,4 -2012,5,18,2,30,0,0,0,6.4,16,119.65,880,5 -2012,5,18,3,30,0,0,0,6.300000000000001,15,112.49000000000001,880,5 -2012,5,18,4,30,0,0,0,6,14,103.35000000000001,880,6 -2012,5,18,5,30,0,0,0,5.800000000000001,14,92.89,880,6 -2012,5,18,6,30,99,48,350,5.7,15,81.56,880,7 -2012,5,18,7,30,303,86,623,5.5,19,69.69,880,6 -2012,5,18,8,30,518,113,753,5.300000000000001,23,57.51,880,5 -2012,5,18,9,30,713,132,825,5.1000000000000005,28,45.27,880,3 -2012,5,18,10,30,872,145,870,5.1000000000000005,31,33.32,880,0 -2012,5,18,11,30,983,146,905,5.4,33,22.5,880,-1 -2012,5,18,12,30,1040,130,945,5.7,34,15.76,880,-1 -2012,5,18,13,30,968,242,765,6,34,18.44,880,-2 -2012,5,18,14,30,949,108,951,6.1000000000000005,35,27.92,880,-2 -2012,5,18,15,30,755,212,704,6,34,39.5,880,-2 -2012,5,18,16,30,413,288,201,5.800000000000001,33,51.660000000000004,880,-2 -2012,5,18,17,30,402,73,747,4.800000000000001,31,63.88,880,-1 -2012,5,18,18,30,187,68,488,3.8000000000000003,28,75.92,880,1 -2012,5,18,19,30,24,24,0,3.9000000000000004,26,87.52,880,2 -2012,5,18,20,30,0,0,0,3.9000000000000004,24,98.42,880,1 -2012,5,18,21,30,0,0,0,4.5,22,108.23,880,2 -2012,5,18,22,30,0,0,0,5.800000000000001,20,116.39,880,4 -2012,5,18,23,30,0,0,0,6.6000000000000005,19,122.18,880,7 -2012,5,19,0,30,0,0,0,6.7,19,124.81,880,10 -2012,5,19,1,30,0,0,0,6.6000000000000005,18,123.85000000000001,880,11 -2012,5,19,2,30,0,0,0,6.300000000000001,17,119.46000000000001,880,11 -2012,5,19,3,30,0,0,0,5.6000000000000005,16,112.32000000000001,880,11 -2012,5,19,4,30,0,0,0,4.9,15,103.21000000000001,880,11 -2012,5,19,5,30,0,0,0,4.7,15,92.76,880,10 -2012,5,19,6,30,104,46,388,4.6000000000000005,17,81.45,880,7 -2012,5,19,7,30,310,82,655,4.5,20,69.59,880,4 -2012,5,19,8,30,528,107,783,4.7,24,57.42,880,1 -2012,5,19,9,30,730,124,859,5.1000000000000005,28,45.18,880,-3 -2012,5,19,10,30,894,134,908,5.1000000000000005,29,33.21,880,-6 -2012,5,19,11,30,1006,139,937,4.7,30,22.36,880,-6 -2012,5,19,12,30,1054,141,948,4.5,31,15.56,880,-6 -2012,5,19,13,30,1036,141,942,4.2,32,18.25,880,-6 -2012,5,19,14,30,952,138,920,3.8000000000000003,32,27.78,880,-5 -2012,5,19,15,30,812,130,882,3.2,32,39.38,880,-5 -2012,5,19,16,30,627,118,818,2.3000000000000003,31,51.54,880,-5 -2012,5,19,17,30,413,99,709,1.4000000000000001,29,63.77,880,-3 -2012,5,19,18,30,195,70,507,1.3,26,75.79,880,1 -2012,5,19,19,30,22,17,98,2.8000000000000003,22,87.38,880,5 -2012,5,19,20,30,0,0,0,4.6000000000000005,20,98.27,880,5 -2012,5,19,21,30,0,0,0,5.4,19,108.06,890,6 -2012,5,19,22,30,0,0,0,5.4,17,116.2,890,7 -2012,5,19,23,30,0,0,0,5.300000000000001,16,121.97,890,7 -2012,5,20,0,30,0,0,0,5.1000000000000005,15,124.60000000000001,890,7 -2012,5,20,1,30,0,0,0,5,14,123.65,890,7 -2012,5,20,2,30,0,0,0,4.9,13,119.28,890,7 -2012,5,20,3,30,0,0,0,4.800000000000001,13,112.16,890,7 -2012,5,20,4,30,0,0,0,4.6000000000000005,12,103.07000000000001,890,7 -2012,5,20,5,30,0,0,0,4.800000000000001,12,92.64,890,7 -2012,5,20,6,30,93,59,231,5.300000000000001,13,81.34,890,7 -2012,5,20,7,30,66,66,0,5.4,15,69.49,890,7 -2012,5,20,8,30,144,144,0,5.2,18,57.33,890,8 -2012,5,20,9,30,269,254,20,4.800000000000001,20,45.08,890,9 -2012,5,20,10,30,217,208,11,4.4,21,33.1,890,10 -2012,5,20,11,30,248,235,14,4,23,22.22,890,10 -2012,5,20,12,30,368,347,22,3.7,24,15.36,890,11 -2012,5,20,13,30,524,460,66,3.2,25,18.07,890,11 -2012,5,20,14,30,880,229,735,2.8000000000000003,26,27.64,890,11 -2012,5,20,15,30,749,211,694,2.5,26,39.26,890,11 -2012,5,20,16,30,576,187,624,2.4000000000000004,25,51.43,890,11 -2012,5,20,17,30,375,154,497,2.5,24,63.65,890,11 -2012,5,20,18,30,173,102,286,2.6,22,75.67,890,11 -2012,5,20,19,30,16,15,25,2.9000000000000004,20,87.25,890,11 -2012,5,20,20,30,0,0,0,3.3000000000000003,19,98.12,890,12 -2012,5,20,21,30,0,0,0,3.4000000000000004,18,107.89,890,12 -2012,5,20,22,30,0,0,0,3.3000000000000003,17,116.02,890,13 -2012,5,20,23,30,0,0,0,3,16,121.78,890,13 -2012,5,21,0,30,0,0,0,2.6,16,124.4,890,14 -2012,5,21,1,30,0,0,0,2.2,15,123.45,890,14 -2012,5,21,2,30,0,0,0,1.9000000000000001,15,119.10000000000001,890,14 -2012,5,21,3,30,0,0,0,1.7000000000000002,14,112,890,14 -2012,5,21,4,30,0,0,0,1.7000000000000002,14,102.93,890,14 -2012,5,21,5,30,0,0,0,2.1,14,92.53,890,14 -2012,5,21,6,30,48,48,0,2.8000000000000003,16,81.24,890,14 -2012,5,21,7,30,71,71,0,3.1,18,69.4,890,14 -2012,5,21,8,30,175,170,8,3.1,21,57.24,890,14 -2012,5,21,9,30,531,324,293,3.1,23,45,890,13 -2012,5,21,10,30,838,157,811,3.2,25,33,890,13 -2012,5,21,11,30,943,163,841,3.4000000000000004,26,22.080000000000002,890,13 -2012,5,21,12,30,995,144,882,3.5,26,15.16,890,13 -2012,5,21,13,30,979,142,879,3.7,26,17.89,890,13 -2012,5,21,14,30,546,448,111,3.9000000000000004,26,27.5,890,13 -2012,5,21,15,30,771,129,828,4.1000000000000005,26,39.14,890,12 -2012,5,21,16,30,596,117,766,4.3,26,51.32,890,12 -2012,5,21,17,30,389,93,662,4.3,25,63.54,890,12 -2012,5,21,18,30,161,82,315,3.8000000000000003,23,75.55,890,12 -2012,5,21,19,30,20,20,0,3.8000000000000003,21,87.12,890,12 -2012,5,21,20,30,0,0,0,4.2,20,97.98,890,12 -2012,5,21,21,30,0,0,0,4.4,19,107.73,890,13 -2012,5,21,22,30,0,0,0,4.5,18,115.84,890,13 -2012,5,21,23,30,0,0,0,4.4,18,121.58,890,12 -2012,5,22,0,30,0,0,0,4.4,17,124.2,890,12 -2012,5,22,1,30,0,0,0,4.3,17,123.26,890,12 -2012,5,22,2,30,0,0,0,4.1000000000000005,17,118.93,890,12 -2012,5,22,3,30,0,0,0,4,17,111.85000000000001,890,12 -2012,5,22,4,30,0,0,0,3.6,16,102.81,890,12 -2012,5,22,5,30,0,0,0,3.4000000000000004,16,92.42,890,12 -2012,5,22,6,30,78,53,165,3.6,17,81.15,890,12 -2012,5,22,7,30,208,141,191,4.5,20,69.31,890,12 -2012,5,22,8,30,474,143,610,5.4,24,57.160000000000004,890,11 -2012,5,22,9,30,696,134,794,5.6000000000000005,27,44.92,890,10 -2012,5,22,10,30,851,144,841,5.7,29,32.910000000000004,880,10 -2012,5,22,11,30,955,150,867,5.800000000000001,31,21.96,880,9 -2012,5,22,12,30,1004,140,894,5.800000000000001,33,14.98,880,9 -2012,5,22,13,30,988,137,893,5.800000000000001,34,17.71,880,9 -2012,5,22,14,30,913,130,880,5.7,34,27.37,880,9 -2012,5,22,15,30,781,127,841,5.6000000000000005,34,39.03,880,9 -2012,5,22,16,30,513,235,443,5.5,33,51.2,880,8 -2012,5,22,17,30,338,159,400,5.1000000000000005,32,63.42,880,8 -2012,5,22,18,30,165,88,305,4.4,29,75.43,880,8 -2012,5,22,19,30,22,19,67,4.3,27,86.99,880,8 -2012,5,22,20,30,0,0,0,4.6000000000000005,25,97.83,880,8 -2012,5,22,21,30,0,0,0,4.800000000000001,23,107.57000000000001,880,8 -2012,5,22,22,30,0,0,0,4.7,21,115.67,880,8 -2012,5,22,23,30,0,0,0,4.5,20,121.39,880,8 -2012,5,23,0,30,0,0,0,4.5,20,124.01,880,9 -2012,5,23,1,30,0,0,0,4.6000000000000005,19,123.08,880,9 -2012,5,23,2,30,0,0,0,4.800000000000001,18,118.76,880,9 -2012,5,23,3,30,0,0,0,4.7,18,111.71000000000001,880,10 -2012,5,23,4,30,0,0,0,4.3,17,102.68,870,10 -2012,5,23,5,30,0,0,0,4.1000000000000005,17,92.31,870,10 -2012,5,23,6,30,108,49,376,4.6000000000000005,18,81.06,870,8 -2012,5,23,7,30,313,85,643,5.1000000000000005,22,69.23,880,4 -2012,5,23,8,30,529,110,772,5.6000000000000005,27,57.09,870,1 -2012,5,23,9,30,728,128,847,6,31,44.84,870,-2 -2012,5,23,10,30,893,136,899,6.1000000000000005,33,32.82,870,-3 -2012,5,23,11,30,940,303,686,6.1000000000000005,34,21.84,870,-4 -2012,5,23,12,30,1054,141,943,6.4,35,14.8,870,-4 -2012,5,23,13,30,1038,136,946,6.6000000000000005,36,17.54,870,-5 -2012,5,23,14,30,963,123,944,6.7,37,27.240000000000002,870,-5 -2012,5,23,15,30,833,103,938,6.6000000000000005,37,38.910000000000004,870,-6 -2012,5,23,16,30,651,93,887,6.2,36,51.1,870,-7 -2012,5,23,17,30,435,83,783,4.9,34,63.31,870,-7 -2012,5,23,18,30,210,66,566,3.6,30,75.31,870,-3 -2012,5,23,19,30,27,20,138,3.7,27,86.86,870,-1 -2012,5,23,20,30,0,0,0,4.800000000000001,26,97.69,870,-1 -2012,5,23,21,30,0,0,0,5.6000000000000005,25,107.42,870,-1 -2012,5,23,22,30,0,0,0,5.6000000000000005,23,115.49000000000001,870,-1 -2012,5,23,23,30,0,0,0,5.300000000000001,22,121.21000000000001,870,-1 -2012,5,24,0,30,0,0,0,5.5,20,123.82000000000001,870,-2 -2012,5,24,1,30,0,0,0,5.5,20,122.9,870,-2 -2012,5,24,2,30,0,0,0,5,19,118.60000000000001,870,-3 -2012,5,24,3,30,0,0,0,4.2,18,111.57000000000001,870,-2 -2012,5,24,4,30,0,0,0,3.1,16,102.57000000000001,870,0 -2012,5,24,5,30,0,0,0,3.1,15,92.21000000000001,870,1 -2012,5,24,6,30,104,52,335,4.3,15,80.97,880,4 -2012,5,24,7,30,304,94,592,4.6000000000000005,16,69.16,880,6 -2012,5,24,8,30,517,118,732,3.8000000000000003,18,57.02,880,7 -2012,5,24,9,30,712,131,818,2.5,21,44.77,880,7 -2012,5,24,10,30,872,138,872,1.5,24,32.74,880,7 -2012,5,24,11,30,979,142,901,1.5,27,21.72,880,7 -2012,5,24,12,30,1030,136,923,1.7000000000000002,30,14.620000000000001,880,5 -2012,5,24,13,30,1012,139,915,1.9000000000000001,31,17.38,880,4 -2012,5,24,14,30,931,140,889,2.5,33,27.11,870,3 -2012,5,24,15,30,794,141,837,3.4000000000000004,34,38.800000000000004,870,1 -2012,5,24,16,30,614,131,767,4.1000000000000005,34,50.99,870,0 -2012,5,24,17,30,408,111,658,3.8000000000000003,33,63.2,870,0 -2012,5,24,18,30,198,77,470,2.7,29,75.19,870,1 -2012,5,24,19,30,27,20,112,2.5,25,86.73,870,3 -2012,5,24,20,30,0,0,0,3.3000000000000003,23,97.55,870,3 -2012,5,24,21,30,0,0,0,3.9000000000000004,22,107.26,880,3 -2012,5,24,22,30,0,0,0,3.7,21,115.33,880,3 -2012,5,24,23,30,0,0,0,3.3000000000000003,20,121.03,880,3 -2012,5,25,0,30,0,0,0,3.5,19,123.64,880,3 -2012,5,25,1,30,0,0,0,4.4,19,122.73,880,2 -2012,5,25,2,30,0,0,0,5.1000000000000005,18,118.45,880,1 -2012,5,25,3,30,0,0,0,4.9,17,111.44,880,1 -2012,5,25,4,30,0,0,0,4.1000000000000005,16,102.45,880,2 -2012,5,25,5,30,0,0,0,3.8000000000000003,16,92.12,880,2 -2012,5,25,6,30,100,55,287,4,18,80.89,880,2 -2012,5,25,7,30,294,109,520,3.8000000000000003,22,69.09,880,3 -2012,5,25,8,30,502,143,657,3.6,26,56.95,880,3 -2012,5,25,9,30,694,166,742,3.6,30,44.7,880,2 -2012,5,25,10,30,850,180,796,3.6,33,32.67,880,2 -2012,5,25,11,30,957,188,827,3.9000000000000004,35,21.61,880,1 -2012,5,25,12,30,1005,190,841,4.6000000000000005,36,14.450000000000001,880,1 -2012,5,25,13,30,988,191,835,5.5,37,17.22,880,0 -2012,5,25,14,30,913,182,819,6.300000000000001,38,26.98,880,0 -2012,5,25,15,30,779,174,775,7,37,38.69,880,0 -2012,5,25,16,30,606,152,720,7.5,36,50.88,880,-1 -2012,5,25,17,30,404,123,622,7.6000000000000005,35,63.09,880,-1 -2012,5,25,18,30,196,87,423,7.1000000000000005,32,75.08,880,0 -2012,5,25,19,30,25,21,67,6.300000000000001,29,86.61,880,0 -2012,5,25,20,30,0,0,0,5.300000000000001,27,97.42,880,1 -2012,5,25,21,30,0,0,0,4.800000000000001,25,107.11,880,2 -2012,5,25,22,30,0,0,0,4.800000000000001,24,115.16,880,3 -2012,5,25,23,30,0,0,0,4.9,22,120.86,880,4 -2012,5,26,0,30,0,0,0,4.9,21,123.47,880,5 -2012,5,26,1,30,0,0,0,4.9,21,122.57000000000001,880,7 -2012,5,26,2,30,0,0,0,5.300000000000001,20,118.3,880,9 -2012,5,26,3,30,0,0,0,5.7,20,111.31,880,11 -2012,5,26,4,30,0,0,0,5.9,19,102.35000000000001,880,12 -2012,5,26,5,30,0,0,0,6,19,92.03,880,14 -2012,5,26,6,30,95,60,217,6.4,21,80.81,880,15 -2012,5,26,7,30,208,144,179,7.300000000000001,24,69.02,880,15 -2012,5,26,8,30,489,155,611,8,27,56.89,880,13 -2012,5,26,9,30,675,183,692,8.4,30,44.64,880,11 -2012,5,26,10,30,825,207,733,8.6,31,32.6,880,10 -2012,5,26,11,30,926,222,756,8.700000000000001,33,21.51,880,10 -2012,5,26,12,30,993,169,849,8.9,34,14.290000000000001,880,9 -2012,5,26,13,30,974,177,833,9.1,35,17.06,880,9 -2012,5,26,14,30,895,177,805,9.200000000000001,35,26.86,880,9 -2012,5,26,15,30,754,195,715,9.200000000000001,34,38.58,880,9 -2012,5,26,16,30,581,179,634,9.200000000000001,33,50.78,880,9 -2012,5,26,17,30,383,147,519,9,32,62.99,880,9 -2012,5,26,18,30,185,96,340,8.5,30,74.97,880,9 -2012,5,26,19,30,25,21,61,8.1,28,86.49,880,10 -2012,5,26,20,30,0,0,0,8.200000000000001,27,97.28,880,10 -2012,5,26,21,30,0,0,0,8.4,25,106.97,880,10 -2012,5,26,22,30,0,0,0,8.3,24,115,880,10 -2012,5,26,23,30,0,0,0,7.9,23,120.69,880,11 -2012,5,27,0,30,0,0,0,7.5,22,123.3,880,11 -2012,5,27,1,30,0,0,0,7.2,21,122.41,880,12 -2012,5,27,2,30,0,0,0,6.800000000000001,20,118.16,880,12 -2012,5,27,3,30,0,0,0,6.300000000000001,20,111.19,880,13 -2012,5,27,4,30,0,0,0,5.6000000000000005,20,102.25,880,13 -2012,5,27,5,30,0,0,0,5.1000000000000005,20,91.95,880,13 -2012,5,27,6,30,102,56,286,5.4,21,80.74,880,14 -2012,5,27,7,30,300,99,559,5.800000000000001,23,68.96000000000001,880,13 -2012,5,27,8,30,517,117,731,5.6000000000000005,26,56.83,880,11 -2012,5,27,9,30,718,126,830,5.4,29,44.59,880,8 -2012,5,27,10,30,880,134,884,5.5,31,32.53,880,5 -2012,5,27,11,30,989,137,915,5.9,32,21.42,880,2 -2012,5,27,12,30,1041,138,931,6.4,33,14.14,880,0 -2012,5,27,13,30,1034,129,946,6.800000000000001,34,16.91,880,-2 -2012,5,27,14,30,963,118,946,7.1000000000000005,34,26.740000000000002,880,-3 -2012,5,27,15,30,833,105,930,7.1000000000000005,34,38.480000000000004,880,-5 -2012,5,27,16,30,655,92,888,6.9,33,50.67,880,-6 -2012,5,27,17,30,445,79,803,5.800000000000001,32,62.88,880,-7 -2012,5,27,18,30,225,60,629,3.6,28,74.85000000000001,880,-7 -2012,5,27,19,30,36,23,202,2,24,86.37,880,-4 -2012,5,27,20,30,0,0,0,1.8,21,97.15,880,-3 -2012,5,27,21,30,0,0,0,1.8,19,106.83,880,-4 -2012,5,27,22,30,0,0,0,2.1,18,114.85000000000001,880,-5 -2012,5,27,23,30,0,0,0,2.9000000000000004,17,120.53,880,-6 -2012,5,28,0,30,0,0,0,3.4000000000000004,16,123.14,880,-8 -2012,5,28,1,30,0,0,0,3.3000000000000003,15,122.25,880,-8 -2012,5,28,2,30,0,0,0,2.9000000000000004,14,118.03,880,-8 -2012,5,28,3,30,0,0,0,2.5,13,111.08,880,-8 -2012,5,28,4,30,0,0,0,2.1,11,102.15,880,-7 -2012,5,28,5,30,0,0,0,2.3000000000000003,12,91.87,890,-6 -2012,5,28,6,30,122,47,460,2.9000000000000004,14,80.68,890,-6 -2012,5,28,7,30,334,75,718,3.5,18,68.9,890,-5 -2012,5,28,8,30,553,93,838,3.6,22,56.78,890,-5 -2012,5,28,9,30,752,106,906,2.7,25,44.54,890,-4 -2012,5,28,10,30,912,114,946,1.4000000000000001,27,32.47,890,-5 -2012,5,28,11,30,1021,119,968,1.1,29,21.330000000000002,890,-5 -2012,5,28,12,30,1069,124,973,2.1,30,13.99,880,-6 -2012,5,28,13,30,1055,122,974,2.9000000000000004,31,16.76,880,-7 -2012,5,28,14,30,977,117,962,3.5,32,26.62,880,-8 -2012,5,28,15,30,843,110,935,3.8000000000000003,32,38.37,880,-9 -2012,5,28,16,30,661,99,884,3.8000000000000003,32,50.57,880,-10 -2012,5,28,17,30,449,85,797,3,31,62.78,880,-10 -2012,5,28,18,30,228,63,627,1.7000000000000002,27,74.75,880,-6 -2012,5,28,19,30,39,24,224,1.1,24,86.25,880,0 -2012,5,28,20,30,0,0,0,0.8,24,97.03,880,-1 -2012,5,28,21,30,0,0,0,0.6000000000000001,23,106.69,880,-3 -2012,5,28,22,30,0,0,0,0.8,21,114.7,880,-3 -2012,5,28,23,30,0,0,0,0.9,19,120.37,880,-3 -2012,5,29,0,30,0,0,0,0.8,18,122.98,880,-2 -2012,5,29,1,30,0,0,0,0.9,16,122.11,880,-1 -2012,5,29,2,30,0,0,0,1.1,14,117.9,880,0 -2012,5,29,3,30,0,0,0,1.3,12,110.97,880,0 -2012,5,29,4,30,0,0,0,1.6,12,102.06,880,-1 -2012,5,29,5,30,0,0,0,2.5,13,91.79,880,-2 -2012,5,29,6,30,122,48,456,3.5,15,80.62,880,-3 -2012,5,29,7,30,334,78,710,3.7,19,68.85000000000001,880,-3 -2012,5,29,8,30,553,96,834,3.5,23,56.730000000000004,890,-3 -2012,5,29,9,30,752,108,902,3.4000000000000004,28,44.49,890,-3 -2012,5,29,10,30,911,118,939,3.3000000000000003,31,32.42,890,-4 -2012,5,29,11,30,1017,126,956,3.2,33,21.25,880,-5 -2012,5,29,12,30,1060,134,953,3,34,13.85,880,-5 -2012,5,29,13,30,1043,132,950,2.9000000000000004,34,16.61,880,-6 -2012,5,29,14,30,964,125,937,2.6,35,26.51,880,-6 -2012,5,29,15,30,826,123,896,2.3000000000000003,34,38.27,880,-6 -2012,5,29,16,30,645,113,835,1.9000000000000001,33,50.47,880,-6 -2012,5,29,17,30,435,97,735,1.3,32,62.68,880,-6 -2012,5,29,18,30,218,71,554,0.9,29,74.64,880,-2 -2012,5,29,19,30,36,24,180,1.2000000000000002,25,86.14,880,2 -2012,5,29,20,30,0,0,0,1.5,22,96.9,880,0 -2012,5,29,21,30,0,0,0,1.7000000000000002,20,106.55,880,0 -2012,5,29,22,30,0,0,0,1.8,19,114.56,880,1 -2012,5,29,23,30,0,0,0,1.7000000000000002,18,120.22,880,2 -2012,5,30,0,30,0,0,0,1.7000000000000002,17,122.83,880,3 -2012,5,30,1,30,0,0,0,1.6,16,121.97,880,4 -2012,5,30,2,30,0,0,0,1.4000000000000001,15,117.78,880,4 -2012,5,30,3,30,0,0,0,1.2000000000000002,15,110.87,880,4 -2012,5,30,4,30,0,0,0,1,15,101.98,880,5 -2012,5,30,5,30,0,0,0,0.8,15,91.72,880,5 -2012,5,30,6,30,96,60,219,1.2000000000000002,16,80.56,880,6 -2012,5,30,7,30,285,136,410,1.8,18,68.8,880,6 -2012,5,30,8,30,487,194,532,1.9000000000000001,22,56.69,880,6 -2012,5,30,9,30,675,234,616,1.8,25,44.45,880,5 -2012,5,30,10,30,829,257,678,1.6,28,32.37,880,4 -2012,5,30,11,30,936,264,720,1.4000000000000001,31,21.17,880,1 -2012,5,30,12,30,946,346,617,1.2000000000000002,32,13.72,880,0 -2012,5,30,13,30,937,331,631,1,33,16.48,880,0 -2012,5,30,14,30,876,291,652,0.9,33,26.400000000000002,880,0 -2012,5,30,15,30,776,209,721,1.2000000000000002,34,38.17,880,-1 -2012,5,30,16,30,617,158,719,1.5,33,50.38,880,-1 -2012,5,30,17,30,420,117,658,1.4000000000000001,32,62.58,880,-2 -2012,5,30,18,30,211,79,498,1.2000000000000002,28,74.53,880,0 -2012,5,30,19,30,35,25,150,1.5,24,86.02,880,4 -2012,5,30,20,30,0,0,0,2,22,96.78,880,4 -2012,5,30,21,30,0,0,0,2.4000000000000004,21,106.42,880,7 -2012,5,30,22,30,0,0,0,2.5,20,114.42,880,12 -2012,5,30,23,30,0,0,0,2.2,19,120.07000000000001,880,15 -2012,5,31,0,30,0,0,0,1.6,18,122.69,880,16 -2012,5,31,1,30,0,0,0,1.2000000000000002,17,121.83,880,17 -2012,5,31,2,30,0,0,0,2.2,17,117.66,880,17 -2012,5,31,3,30,0,0,0,3.9000000000000004,16,110.77,880,15 -2012,5,31,4,30,0,0,0,4.800000000000001,15,101.9,890,14 -2012,5,31,5,30,0,0,0,5.6000000000000005,15,91.66,890,11 -2012,5,31,6,30,107,46,367,6,15,80.51,890,9 -2012,5,31,7,30,307,92,595,5.800000000000001,17,68.76,890,7 -2012,5,31,8,30,299,245,97,5.4,19,56.660000000000004,890,5 -2012,5,31,9,30,338,305,47,5,22,44.410000000000004,890,5 -2012,5,31,10,30,865,130,869,4.800000000000001,24,32.32,890,5 -2012,5,31,11,30,971,133,899,4.5,26,21.1,890,5 -2012,5,31,12,30,1017,141,901,4.2,27,13.59,890,5 -2012,5,31,13,30,1002,139,899,3.8000000000000003,28,16.34,890,5 -2012,5,31,14,30,927,133,885,3.5,29,26.29,890,4 -2012,5,31,15,30,786,151,807,3.2,29,38.07,890,4 -2012,5,31,16,30,614,135,749,3.1,28,50.28,890,4 -2012,5,31,17,30,414,111,655,3.1,27,62.480000000000004,890,4 -2012,5,31,18,30,209,78,488,2.7,25,74.43,890,4 -2012,5,31,19,30,37,26,151,2.3000000000000003,22,85.91,890,4 -2012,5,31,20,30,0,0,0,2.9000000000000004,20,96.66,890,5 -2012,5,31,21,30,0,0,0,3.7,19,106.29,890,4 -2012,5,31,22,30,0,0,0,4.2,18,114.28,890,5 -2012,5,31,23,30,0,0,0,4.4,17,119.93,890,5 -2012,6,1,0,30,0,0,0,4.1000000000000005,16,122.55,890,5 -2012,6,1,1,30,0,0,0,3.8000000000000003,15,121.71000000000001,890,6 -2012,6,1,2,30,0,0,0,3.7,14,117.55,890,6 -2012,6,1,3,30,0,0,0,3.6,14,110.68,890,6 -2012,6,1,4,30,0,0,0,3.4000000000000004,14,101.83,890,6 -2012,6,1,5,30,0,0,0,3.7,14,91.60000000000001,890,5 -2012,6,1,6,30,51,51,0,4.800000000000001,16,80.46000000000001,890,5 -2012,6,1,7,30,296,104,528,6,19,68.72,890,5 -2012,6,1,8,30,495,140,646,6.6000000000000005,22,56.620000000000005,890,8 -2012,6,1,9,30,681,160,729,6.800000000000001,25,44.38,890,10 -2012,6,1,10,30,833,170,784,6.9,27,32.28,890,12 -2012,6,1,11,30,936,177,813,6.800000000000001,29,21.04,890,13 -2012,6,1,12,30,981,182,821,6.7,30,13.47,880,13 -2012,6,1,13,30,966,183,815,6.6000000000000005,31,16.21,880,13 -2012,6,1,14,30,633,462,191,6.5,32,26.18,880,13 -2012,6,1,15,30,194,186,9,6.300000000000001,33,37.980000000000004,880,12 -2012,6,1,16,30,192,186,8,5.9,32,50.19,880,11 -2012,6,1,17,30,61,61,0,5.300000000000001,31,62.38,880,11 -2012,6,1,18,30,50,50,0,4.1000000000000005,29,74.33,880,11 -2012,6,1,19,30,8,8,0,2.9000000000000004,26,85.81,880,11 -2012,6,1,20,30,0,0,0,2.2,24,96.55,880,12 -2012,6,1,21,30,0,0,0,1.4000000000000001,23,106.17,880,12 -2012,6,1,22,30,0,0,0,1.2000000000000002,21,114.15,880,14 -2012,6,1,23,30,0,0,0,1.9000000000000001,20,119.8,880,14 -2012,6,2,0,30,0,0,0,2.7,20,122.42,880,14 -2012,6,2,1,30,0,0,0,3.5,20,121.59,880,14 -2012,6,2,2,30,0,0,0,4.1000000000000005,19,117.45,880,14 -2012,6,2,3,30,0,0,0,4,19,110.60000000000001,880,14 -2012,6,2,4,30,0,0,0,3.5,19,101.76,880,14 -2012,6,2,5,30,0,0,0,3,19,91.55,880,14 -2012,6,2,6,30,63,58,34,2.9000000000000004,20,80.42,880,14 -2012,6,2,7,30,203,147,154,3.1,23,68.69,890,14 -2012,6,2,8,30,426,212,387,3.3000000000000003,26,56.6,890,13 -2012,6,2,9,30,619,258,504,3.5,29,44.35,880,13 -2012,6,2,10,30,738,301,517,3.9000000000000004,31,32.25,880,12 -2012,6,2,11,30,944,158,841,4.1000000000000005,32,20.98,880,12 -2012,6,2,12,30,994,150,867,4.4,33,13.36,880,13 -2012,6,2,13,30,980,147,866,4.5,34,16.09,880,13 -2012,6,2,14,30,906,142,849,4.5,35,26.080000000000002,880,13 -2012,6,2,15,30,773,150,789,4.7,35,37.88,880,12 -2012,6,2,16,30,568,197,579,5.1000000000000005,34,50.09,880,11 -2012,6,2,17,30,274,200,158,5.1000000000000005,33,62.29,880,10 -2012,6,2,18,30,83,83,0,4.5,30,74.23,880,10 -2012,6,2,19,30,14,14,0,4.2,28,85.7,880,11 -2012,6,2,20,30,0,0,0,4.5,26,96.44,880,10 -2012,6,2,21,30,0,0,0,3.8000000000000003,24,106.05,880,11 -2012,6,2,22,30,0,0,0,2.4000000000000004,22,114.02,880,11 -2012,6,2,23,30,0,0,0,1.5,21,119.67,880,11 -2012,6,3,0,30,0,0,0,1.3,20,122.29,880,12 -2012,6,3,1,30,0,0,0,1.4000000000000001,20,121.47,880,12 -2012,6,3,2,30,0,0,0,1.6,19,117.35000000000001,880,12 -2012,6,3,3,30,0,0,0,1.7000000000000002,19,110.52,880,12 -2012,6,3,4,30,0,0,0,1.6,18,101.7,880,12 -2012,6,3,5,30,0,0,0,2.1,19,91.5,880,12 -2012,6,3,6,30,84,58,156,3.1,21,80.38,880,13 -2012,6,3,7,30,283,133,412,4,24,68.66,880,13 -2012,6,3,8,30,482,181,545,4.4,27,56.57,880,13 -2012,6,3,9,30,665,220,621,4.5,30,44.33,880,12 -2012,6,3,10,30,814,250,666,4.3,33,32.22,880,10 -2012,6,3,11,30,917,268,695,4,34,20.93,880,8 -2012,6,3,12,30,978,243,755,3.5,35,13.25,880,7 -2012,6,3,13,30,965,240,753,2.9000000000000004,36,15.97,880,5 -2012,6,3,14,30,894,227,741,2.3000000000000003,37,25.98,880,4 -2012,6,3,15,30,774,197,730,1.9000000000000001,36,37.79,880,3 -2012,6,3,16,30,605,171,674,1.7000000000000002,35,50,880,3 -2012,6,3,17,30,407,137,579,1.4000000000000001,34,62.2,880,2 -2012,6,3,18,30,205,92,415,1.1,30,74.14,880,6 -2012,6,3,19,30,36,27,122,1.1,27,85.60000000000001,880,10 -2012,6,3,20,30,0,0,0,1.2000000000000002,25,96.33,880,9 -2012,6,3,21,30,0,0,0,1.1,24,105.94,880,9 -2012,6,3,22,30,0,0,0,0.8,24,113.9,880,8 -2012,6,3,23,30,0,0,0,0.4,23,119.55,880,8 -2012,6,4,0,30,0,0,0,0.5,22,122.17,880,8 -2012,6,4,1,30,0,0,0,0.9,20,121.37,880,8 -2012,6,4,2,30,0,0,0,1.1,19,117.26,880,9 -2012,6,4,3,30,0,0,0,1.2000000000000002,18,110.45,880,9 -2012,6,4,4,30,0,0,0,1.2000000000000002,17,101.64,880,9 -2012,6,4,5,30,0,0,0,1.6,18,91.46000000000001,880,9 -2012,6,4,6,30,72,61,67,2.3000000000000003,20,80.35000000000001,880,9 -2012,6,4,7,30,233,140,257,3,24,68.64,880,9 -2012,6,4,8,30,494,139,643,3.9000000000000004,28,56.550000000000004,890,10 -2012,6,4,9,30,659,223,609,4.5,30,44.31,890,12 -2012,6,4,10,30,736,357,447,4.5,31,32.19,880,13 -2012,6,4,11,30,896,394,536,4.5,32,20.88,880,14 -2012,6,4,12,30,930,447,496,4.6000000000000005,32,13.15,880,15 -2012,6,4,13,30,972,168,836,4.5,32,15.85,880,16 -2012,6,4,14,30,898,163,816,4.4,31,25.88,880,16 -2012,6,4,15,30,723,296,539,4.3,31,37.7,880,16 -2012,6,4,16,30,514,265,387,4.3,30,49.92,880,15 -2012,6,4,17,30,316,192,265,4.1000000000000005,29,62.11,880,15 -2012,6,4,18,30,143,105,137,3.7,27,74.04,880,15 -2012,6,4,19,30,27,25,15,3.6,25,85.5,880,16 -2012,6,4,20,30,0,0,0,3.7,23,96.22,880,17 -2012,6,4,21,30,0,0,0,3.7,22,105.83,880,17 -2012,6,4,22,30,0,0,0,3.6,22,113.79,890,18 -2012,6,4,23,30,0,0,0,3.4000000000000004,21,119.43,890,18 -2012,6,5,0,30,0,0,0,2.8000000000000003,20,122.06,890,18 -2012,6,5,1,30,0,0,0,2.1,20,121.27,890,18 -2012,6,5,2,30,0,0,0,1.7000000000000002,19,117.18,890,18 -2012,6,5,3,30,0,0,0,1.3,19,110.38,880,18 -2012,6,5,4,30,0,0,0,0.9,18,101.59,880,18 -2012,6,5,5,30,0,0,0,0.6000000000000001,18,91.42,880,18 -2012,6,5,6,30,40,40,0,0.6000000000000001,19,80.32000000000001,890,18 -2012,6,5,7,30,19,19,0,1.1,21,68.62,890,17 -2012,6,5,8,30,94,94,0,1.7000000000000002,23,56.54,890,15 -2012,6,5,9,30,380,327,74,1.8,24,44.300000000000004,890,14 -2012,6,5,10,30,556,428,151,1.3,25,32.18,890,14 -2012,6,5,11,30,477,430,51,1.2000000000000002,26,20.84,890,13 -2012,6,5,12,30,246,232,14,1.3,25,13.06,880,13 -2012,6,5,13,30,122,120,1,1.1,25,15.74,880,13 -2012,6,5,14,30,232,220,13,0.9,24,25.79,880,13 -2012,6,5,15,30,217,208,11,0.8,24,37.61,880,14 -2012,6,5,16,30,298,269,45,1.1,23,49.83,880,14 -2012,6,5,17,30,115,115,0,1.3,23,62.02,880,14 -2012,6,5,18,30,57,57,0,1,22,73.95,880,15 -2012,6,5,19,30,10,10,0,0.7000000000000001,21,85.41,880,16 -2012,6,5,20,30,0,0,0,0.5,21,96.12,880,16 -2012,6,5,21,30,0,0,0,0.30000000000000004,20,105.72,880,15 -2012,6,5,22,30,0,0,0,0.30000000000000004,20,113.68,880,15 -2012,6,5,23,30,0,0,0,0.6000000000000001,19,119.32000000000001,880,15 -2012,6,6,0,30,0,0,0,0.7000000000000001,19,121.95,880,15 -2012,6,6,1,30,0,0,0,0.9,18,121.17,880,15 -2012,6,6,2,30,0,0,0,1,18,117.10000000000001,880,16 -2012,6,6,3,30,0,0,0,0.9,17,110.32000000000001,880,16 -2012,6,6,4,30,0,0,0,0.7000000000000001,17,101.55,880,16 -2012,6,6,5,30,0,0,0,0.8,17,91.39,880,16 -2012,6,6,6,30,28,28,0,1.1,18,80.3,880,16 -2012,6,6,7,30,89,89,0,1.2000000000000002,19,68.60000000000001,880,16 -2012,6,6,8,30,296,243,96,1.2000000000000002,20,56.53,880,15 -2012,6,6,9,30,355,315,56,1.2000000000000002,21,44.29,880,15 -2012,6,6,10,30,511,420,107,1.3,23,32.160000000000004,880,15 -2012,6,6,11,30,792,425,391,1.1,24,20.81,880,15 -2012,6,6,12,30,741,505,241,1.1,25,12.97,880,15 -2012,6,6,13,30,677,506,177,1.5,25,15.63,880,15 -2012,6,6,14,30,750,405,383,1.8,26,25.69,880,15 -2012,6,6,15,30,535,394,178,1.8,26,37.53,880,14 -2012,6,6,16,30,538,230,477,1.9000000000000001,26,49.75,880,14 -2012,6,6,17,30,401,115,606,2,26,61.940000000000005,880,14 -2012,6,6,18,30,210,89,433,1.7000000000000002,24,73.86,880,15 -2012,6,6,19,30,42,31,135,1.6,22,85.32000000000001,880,15 -2012,6,6,20,30,0,0,0,1.8,21,96.03,880,15 -2012,6,6,21,30,0,0,0,2,20,105.62,880,15 -2012,6,6,22,30,0,0,0,2.3000000000000003,19,113.57000000000001,880,16 -2012,6,6,23,30,0,0,0,2.7,19,119.21000000000001,880,17 -2012,6,7,0,30,0,0,0,2.9000000000000004,18,121.86,880,17 -2012,6,7,1,30,0,0,0,2.9000000000000004,18,121.08,880,17 -2012,6,7,2,30,0,0,0,3,17,117.03,880,17 -2012,6,7,3,30,0,0,0,3.1,17,110.27,890,17 -2012,6,7,4,30,0,0,0,2.9000000000000004,17,101.51,890,17 -2012,6,7,5,30,0,0,0,3,17,91.36,890,17 -2012,6,7,6,30,103,65,227,3.6,18,80.28,890,16 -2012,6,7,7,30,68,68,0,3.7,20,68.59,890,16 -2012,6,7,8,30,103,103,0,3.4000000000000004,22,56.52,890,16 -2012,6,7,9,30,171,166,6,3.2,23,44.28,890,15 -2012,6,7,10,30,224,213,12,3.2,25,32.15,890,15 -2012,6,7,11,30,298,282,17,3.4000000000000004,26,20.78,890,15 -2012,6,7,12,30,218,205,13,3.6,27,12.89,890,15 -2012,6,7,13,30,199,188,11,3.8000000000000003,27,15.530000000000001,890,15 -2012,6,7,14,30,221,209,12,4,27,25.6,890,15 -2012,6,7,15,30,441,376,81,4.1000000000000005,27,37.45,890,15 -2012,6,7,16,30,180,176,6,4.4,26,49.67,890,15 -2012,6,7,17,30,395,169,479,4.5,25,61.85,890,14 -2012,6,7,18,30,201,111,319,4.5,23,73.78,890,15 -2012,6,7,19,30,37,31,74,4.5,21,85.23,890,15 -2012,6,7,20,30,0,0,0,4.6000000000000005,19,95.93,890,15 -2012,6,7,21,30,0,0,0,4.7,18,105.52,890,15 -2012,6,7,22,30,0,0,0,4.6000000000000005,17,113.47,890,15 -2012,6,7,23,30,0,0,0,4.5,17,119.11,890,15 -2012,6,8,0,30,0,0,0,4.2,16,121.76,890,14 -2012,6,8,1,30,0,0,0,3.9000000000000004,15,121,890,14 -2012,6,8,2,30,0,0,0,3.5,15,116.96000000000001,890,14 -2012,6,8,3,30,0,0,0,3,15,110.22,890,14 -2012,6,8,4,30,0,0,0,2.6,15,101.47,890,14 -2012,6,8,5,30,0,0,0,2.9000000000000004,15,91.34,890,14 -2012,6,8,6,30,30,30,0,3.5,16,80.27,890,14 -2012,6,8,7,30,173,146,75,3.8000000000000003,18,68.58,890,13 -2012,6,8,8,30,411,223,340,3.9000000000000004,21,56.52,890,14 -2012,6,8,9,30,442,339,143,3.9000000000000004,23,44.28,890,14 -2012,6,8,10,30,442,391,60,3.9000000000000004,25,32.14,890,14 -2012,6,8,11,30,520,454,71,4,27,20.76,890,14 -2012,6,8,12,30,983,204,799,4.1000000000000005,28,12.82,890,15 -2012,6,8,13,30,971,203,796,4.4,29,15.44,890,14 -2012,6,8,14,30,900,195,780,4.6000000000000005,29,25.52,880,14 -2012,6,8,15,30,776,180,749,4.9,29,37.37,880,14 -2012,6,8,16,30,527,248,430,5,28,49.59,880,14 -2012,6,8,17,30,324,192,277,5,27,61.77,880,14 -2012,6,8,18,30,216,89,454,4.800000000000001,25,73.7,880,14 -2012,6,8,19,30,45,32,154,4.5,23,85.14,880,14 -2012,6,8,20,30,0,0,0,4.3,21,95.84,880,15 -2012,6,8,21,30,0,0,0,4.3,20,105.43,880,15 -2012,6,8,22,30,0,0,0,4.3,19,113.37,880,16 -2012,6,8,23,30,0,0,0,4.1000000000000005,18,119.02,880,16 -2012,6,9,0,30,0,0,0,4.1000000000000005,18,121.68,880,16 -2012,6,9,1,30,0,0,0,4.1000000000000005,17,120.93,880,15 -2012,6,9,2,30,0,0,0,4.2,17,116.91,880,15 -2012,6,9,3,30,0,0,0,4.1000000000000005,17,110.18,880,15 -2012,6,9,4,30,0,0,0,3.9000000000000004,16,101.44,880,14 -2012,6,9,5,30,0,0,0,3.9000000000000004,16,91.32000000000001,880,14 -2012,6,9,6,30,106,60,271,4.9,18,80.26,880,15 -2012,6,9,7,30,296,113,500,5.800000000000001,21,68.58,880,15 -2012,6,9,8,30,503,146,646,5.6000000000000005,25,56.52,880,14 -2012,6,9,9,30,698,164,745,4.9,28,44.28,880,13 -2012,6,9,10,30,860,172,812,4.1000000000000005,32,32.14,880,10 -2012,6,9,11,30,976,173,857,3.7,35,20.740000000000002,880,5 -2012,6,9,12,30,1025,189,857,3.7,36,12.76,880,1 -2012,6,9,13,30,1021,183,868,3.9000000000000004,37,15.34,880,-1 -2012,6,9,14,30,956,164,876,4.3,37,25.44,880,-3 -2012,6,9,15,30,783,241,681,4.5,37,37.29,880,-5 -2012,6,9,16,30,609,215,606,4.2,36,49.51,880,-6 -2012,6,9,17,30,406,175,487,3.2,33,61.7,870,-4 -2012,6,9,18,30,202,111,321,2.8000000000000003,29,73.62,870,1 -2012,6,9,19,30,33,26,88,3.9000000000000004,26,85.06,880,4 -2012,6,9,20,30,0,0,0,5.2,24,95.76,880,7 -2012,6,9,21,30,0,0,0,5.6000000000000005,23,105.34,880,10 -2012,6,9,22,30,0,0,0,5.300000000000001,22,113.28,880,13 -2012,6,9,23,30,0,0,0,4.800000000000001,20,118.93,880,14 -2012,6,10,0,30,0,0,0,4.1000000000000005,19,121.60000000000001,880,14 -2012,6,10,1,30,0,0,0,3.4000000000000004,18,120.86,880,13 -2012,6,10,2,30,0,0,0,3.1,17,116.85000000000001,880,9 -2012,6,10,3,30,0,0,0,3.2,16,110.14,880,4 -2012,6,10,4,30,0,0,0,3.5,16,101.42,880,0 -2012,6,10,5,30,0,0,0,4.1000000000000005,18,91.31,880,-1 -2012,6,10,6,30,124,50,437,4.800000000000001,20,80.26,880,-2 -2012,6,10,7,30,327,85,661,5.1000000000000005,24,68.58,880,-1 -2012,6,10,8,30,543,103,797,5.800000000000001,29,56.52,880,0 -2012,6,10,9,30,744,106,891,6.2,32,44.29,880,0 -2012,6,10,10,30,903,110,937,5.7,34,32.15,880,0 -2012,6,10,11,30,1011,114,959,5.300000000000001,35,20.73,880,0 -2012,6,10,12,30,1059,117,965,4.9,36,12.700000000000001,880,0 -2012,6,10,13,30,1045,114,965,4.5,37,15.26,880,-1 -2012,6,10,14,30,969,110,950,4,37,25.36,880,-1 -2012,6,10,15,30,839,101,926,3.4000000000000004,37,37.21,880,-1 -2012,6,10,16,30,662,94,873,2.8000000000000003,36,49.44,880,-1 -2012,6,10,17,30,456,83,784,1.6,34,61.620000000000005,880,-1 -2012,6,10,18,30,240,65,617,0.8,31,73.54,880,2 -2012,6,10,19,30,52,30,253,0.9,27,84.98,880,8 -2012,6,10,20,30,0,0,0,1.3,25,95.67,880,7 -2012,6,10,21,30,0,0,0,1.5,23,105.25,880,8 -2012,6,10,22,30,0,0,0,1.5,21,113.2,880,9 -2012,6,10,23,30,0,0,0,1.4000000000000001,19,118.85000000000001,880,10 -2012,6,11,0,30,0,0,0,1.4000000000000001,18,121.52,880,10 -2012,6,11,1,30,0,0,0,1.4000000000000001,17,120.8,880,11 -2012,6,11,2,30,0,0,0,1.7000000000000002,16,116.81,880,11 -2012,6,11,3,30,0,0,0,2.4000000000000004,16,110.11,880,11 -2012,6,11,4,30,0,0,0,3.3000000000000003,16,101.4,880,11 -2012,6,11,5,30,0,0,0,4.1000000000000005,16,91.3,880,10 -2012,6,11,6,30,95,64,186,4.800000000000001,18,80.26,890,9 -2012,6,11,7,30,274,143,359,5.300000000000001,20,68.59,890,9 -2012,6,11,8,30,470,202,486,5.9,23,56.53,890,7 -2012,6,11,9,30,659,236,590,6.1000000000000005,26,44.300000000000004,890,5 -2012,6,11,10,30,821,245,679,6,28,32.15,890,3 -2012,6,11,11,30,939,236,752,5.800000000000001,30,20.72,890,1 -2012,6,11,12,30,1035,135,921,5.5,31,12.65,890,0 -2012,6,11,13,30,1021,138,914,5.2,32,15.18,890,0 -2012,6,11,14,30,946,136,895,4.9,32,25.28,890,0 -2012,6,11,15,30,817,130,861,4.800000000000001,32,37.14,890,0 -2012,6,11,16,30,643,120,803,4.6000000000000005,31,49.36,890,0 -2012,6,11,17,30,360,173,392,4.3,30,61.550000000000004,890,0 -2012,6,11,18,30,71,71,0,3.5,27,73.47,890,1 -2012,6,11,19,30,15,15,0,3.2,25,84.9,890,3 -2012,6,11,20,30,0,0,0,3.5,23,95.60000000000001,890,3 -2012,6,11,21,30,0,0,0,3.5,22,105.17,890,4 -2012,6,11,22,30,0,0,0,3.4000000000000004,20,113.12,890,4 -2012,6,11,23,30,0,0,0,3.2,19,118.78,890,5 -2012,6,12,0,30,0,0,0,3.2,19,121.46000000000001,890,5 -2012,6,12,1,30,0,0,0,3.1,18,120.75,890,6 -2012,6,12,2,30,0,0,0,3,17,116.77,890,6 -2012,6,12,3,30,0,0,0,2.7,17,110.08,890,7 -2012,6,12,4,30,0,0,0,2.2,16,101.39,890,8 -2012,6,12,5,30,0,0,0,2.3000000000000003,16,91.3,890,9 -2012,6,12,6,30,10,10,0,3,18,80.26,890,10 -2012,6,12,7,30,127,124,9,4.2,21,68.60000000000001,890,10 -2012,6,12,8,30,486,165,583,4.800000000000001,24,56.550000000000004,890,10 -2012,6,12,9,30,546,322,313,4.7,25,44.31,890,12 -2012,6,12,10,30,813,229,689,4.9,26,32.160000000000004,890,14 -2012,6,12,11,30,862,430,462,5.1000000000000005,27,20.72,890,15 -2012,6,12,12,30,924,455,480,5.300000000000001,27,12.61,890,17 -2012,6,12,13,30,853,463,404,5.4,26,15.1,890,18 -2012,6,12,14,30,877,219,726,5.5,26,25.21,890,18 -2012,6,12,15,30,757,196,702,5.5,26,37.07,890,19 -2012,6,12,16,30,599,162,670,5.4,25,49.300000000000004,890,19 -2012,6,12,17,30,374,162,444,4.7,24,61.480000000000004,890,18 -2012,6,12,18,30,191,110,283,4.1000000000000005,23,73.39,890,18 -2012,6,12,19,30,34,31,35,4.2,21,84.83,890,19 -2012,6,12,20,30,0,0,0,4.6000000000000005,21,95.52,890,19 -2012,6,12,21,30,0,0,0,5.4,20,105.10000000000001,890,19 -2012,6,12,22,30,0,0,0,6,20,113.05,890,19 -2012,6,12,23,30,0,0,0,5.7,19,118.71000000000001,890,19 -2012,6,13,0,30,0,0,0,5,19,121.4,890,18 -2012,6,13,1,30,0,0,0,4.1000000000000005,18,120.7,890,18 -2012,6,13,2,30,0,0,0,2.8000000000000003,18,116.74000000000001,890,18 -2012,6,13,3,30,0,0,0,1.5,18,110.07000000000001,890,18 -2012,6,13,4,30,0,0,0,1.3,17,101.38,890,17 -2012,6,13,5,30,0,0,0,2,17,91.3,890,17 -2012,6,13,6,30,100,67,195,2.8000000000000003,18,80.27,890,17 -2012,6,13,7,30,284,128,427,3.4000000000000004,20,68.61,890,16 -2012,6,13,8,30,484,164,579,4,22,56.56,890,16 -2012,6,13,9,30,323,295,39,4.4,24,44.33,890,16 -2012,6,13,10,30,823,199,736,4.6000000000000005,26,32.18,890,16 -2012,6,13,11,30,929,202,777,4.7,28,20.72,890,16 -2012,6,13,12,30,875,480,404,4.800000000000001,29,12.57,880,16 -2012,6,13,13,30,715,503,219,4.9,30,15.030000000000001,880,16 -2012,6,13,14,30,918,139,859,5,31,25.14,880,15 -2012,6,13,15,30,791,136,820,5.1000000000000005,31,37,880,15 -2012,6,13,16,30,620,127,755,5.2,31,49.230000000000004,880,15 -2012,6,13,17,30,421,114,641,4.9,30,61.410000000000004,880,15 -2012,6,13,18,30,217,88,450,4.1000000000000005,28,73.33,880,15 -2012,6,13,19,30,46,33,140,3.8000000000000003,26,84.76,880,16 -2012,6,13,20,30,0,0,0,4.5,24,95.45,880,16 -2012,6,13,21,30,0,0,0,5.2,23,105.03,880,16 -2012,6,13,22,30,0,0,0,5.300000000000001,21,112.98,880,17 -2012,6,13,23,30,0,0,0,5,21,118.65,880,17 -2012,6,14,0,30,0,0,0,4.6000000000000005,20,121.34,880,18 -2012,6,14,1,30,0,0,0,4.3,20,120.66,880,18 -2012,6,14,2,30,0,0,0,4,20,116.71000000000001,880,18 -2012,6,14,3,30,0,0,0,3.6,19,110.05,880,18 -2012,6,14,4,30,0,0,0,3.3000000000000003,19,101.38,880,18 -2012,6,14,5,30,0,0,0,3.3000000000000003,19,91.31,880,17 -2012,6,14,6,30,107,59,287,3.8000000000000003,21,80.28,880,17 -2012,6,14,7,30,300,98,555,4.7,23,68.63,880,17 -2012,6,14,8,30,507,119,704,5,26,56.59,880,16 -2012,6,14,9,30,697,132,789,4.5,29,44.35,880,15 -2012,6,14,10,30,851,143,837,4,31,32.2,880,15 -2012,6,14,11,30,956,151,860,3.7,33,20.73,880,14 -2012,6,14,12,30,1004,151,873,3.6,35,12.540000000000001,880,13 -2012,6,14,13,30,991,152,867,3.9000000000000004,36,14.97,880,12 -2012,6,14,14,30,918,149,848,4.3,36,25.07,880,11 -2012,6,14,15,30,612,380,290,4.800000000000001,36,36.94,880,11 -2012,6,14,16,30,292,266,39,5.300000000000001,35,49.160000000000004,880,10 -2012,6,14,17,30,186,175,23,5.5,34,61.35,880,10 -2012,6,14,18,30,64,64,0,5.6000000000000005,31,73.26,880,12 -2012,6,14,19,30,21,21,0,5.9,28,84.7,880,13 -2012,6,14,20,30,0,0,0,5.6000000000000005,26,95.39,880,15 -2012,6,14,21,30,0,0,0,4.7,25,104.97,880,16 -2012,6,14,22,30,0,0,0,4,23,112.92,880,16 -2012,6,14,23,30,0,0,0,3.5,22,118.59,880,16 -2012,6,15,0,30,0,0,0,3,21,121.3,880,16 -2012,6,15,1,30,0,0,0,2.8000000000000003,20,120.63,880,16 -2012,6,15,2,30,0,0,0,3,19,116.69,880,16 -2012,6,15,3,30,0,0,0,3.3000000000000003,18,110.05,880,16 -2012,6,15,4,30,0,0,0,3.5,17,101.39,880,15 -2012,6,15,5,30,0,0,0,3.6,17,91.32000000000001,880,15 -2012,6,15,6,30,113,54,354,3.9000000000000004,18,80.3,880,15 -2012,6,15,7,30,309,89,602,4.4,21,68.65,890,15 -2012,6,15,8,30,515,111,732,4.7,24,56.61,890,14 -2012,6,15,9,30,703,126,806,4.6000000000000005,27,44.38,890,14 -2012,6,15,10,30,854,138,846,4.6000000000000005,29,32.22,890,14 -2012,6,15,11,30,955,147,864,4.800000000000001,30,20.740000000000002,890,14 -2012,6,15,12,30,1001,149,871,5,31,12.52,890,15 -2012,6,15,13,30,984,154,858,5.1000000000000005,31,14.91,890,15 -2012,6,15,14,30,909,154,832,5,31,25.01,880,16 -2012,6,15,15,30,791,128,828,5,31,36.88,880,16 -2012,6,15,16,30,624,114,780,5.1000000000000005,30,49.1,880,16 -2012,6,15,17,30,430,96,696,5.2,29,61.29,880,16 -2012,6,15,18,30,168,108,208,4.9,28,73.2,880,16 -2012,6,15,19,30,28,28,0,4.7,26,84.63,880,17 -2012,6,15,20,30,0,0,0,4.7,24,95.33,890,17 -2012,6,15,21,30,0,0,0,4.2,22,104.91,890,18 -2012,6,15,22,30,0,0,0,3.4000000000000004,21,112.86,890,18 -2012,6,15,23,30,0,0,0,3.3000000000000003,21,118.54,890,18 -2012,6,16,0,30,0,0,0,3.3000000000000003,20,121.26,890,18 -2012,6,16,1,30,0,0,0,3,20,120.60000000000001,890,18 -2012,6,16,2,30,0,0,0,2.4000000000000004,19,116.68,890,18 -2012,6,16,3,30,0,0,0,1.5,19,110.04,890,17 -2012,6,16,4,30,0,0,0,1.1,18,101.39,890,17 -2012,6,16,5,30,0,0,0,1.5,19,91.34,890,16 -2012,6,16,6,30,7,7,0,2.4000000000000004,21,80.32000000000001,890,16 -2012,6,16,7,30,17,17,0,3.2,25,68.68,890,15 -2012,6,16,8,30,454,175,507,3.3000000000000003,28,56.64,890,13 -2012,6,16,9,30,654,223,603,2.8000000000000003,29,44.410000000000004,890,12 -2012,6,16,10,30,792,258,632,2.4000000000000004,30,32.25,890,13 -2012,6,16,11,30,946,150,852,2.3000000000000003,31,20.76,890,13 -2012,6,16,12,30,991,157,854,2.5,32,12.5,890,14 -2012,6,16,13,30,974,165,836,2.9000000000000004,31,14.85,890,14 -2012,6,16,14,30,824,407,460,3.3000000000000003,30,24.95,890,15 -2012,6,16,15,30,676,324,439,3.5,29,36.82,890,15 -2012,6,16,16,30,535,234,459,3.3000000000000003,28,49.050000000000004,890,16 -2012,6,16,17,30,377,164,441,2.7,26,61.230000000000004,890,16 -2012,6,16,18,30,225,69,538,2.1,25,73.14,890,18 -2012,6,16,19,30,34,31,26,2.1,23,84.58,890,18 -2012,6,16,20,30,0,0,0,1.9000000000000001,22,95.27,890,18 -2012,6,16,21,30,0,0,0,1.3,22,104.85000000000001,890,18 -2012,6,16,22,30,0,0,0,0.9,21,112.81,890,18 -2012,6,16,23,30,0,0,0,0.8,21,118.5,890,17 -2012,6,17,0,30,0,0,0,1,20,121.23,890,17 -2012,6,17,1,30,0,0,0,1.4000000000000001,20,120.58,890,17 -2012,6,17,2,30,0,0,0,1.6,19,116.67,890,17 -2012,6,17,3,30,0,0,0,1.6,18,110.05,890,17 -2012,6,17,4,30,0,0,0,1.7000000000000002,18,101.41,890,16 -2012,6,17,5,30,0,0,0,2.5,18,91.36,890,16 -2012,6,17,6,30,111,54,337,3.3000000000000003,20,80.35000000000001,890,16 -2012,6,17,7,30,304,88,596,4.3,23,68.71000000000001,890,16 -2012,6,17,8,30,509,106,733,5.2,26,56.67,890,14 -2012,6,17,9,30,698,119,811,5.6000000000000005,28,44.44,890,13 -2012,6,17,10,30,852,128,856,5.7,30,32.28,890,13 -2012,6,17,11,30,958,133,882,5.800000000000001,31,20.78,890,12 -2012,6,17,12,30,1010,132,899,5.800000000000001,33,12.49,880,12 -2012,6,17,13,30,1000,131,899,5.7,34,14.8,880,12 -2012,6,17,14,30,931,125,887,5.6000000000000005,34,24.900000000000002,880,11 -2012,6,17,15,30,808,116,864,5.4,34,36.76,880,11 -2012,6,17,16,30,639,106,812,5.300000000000001,34,48.99,880,11 -2012,6,17,17,30,440,93,719,5.1000000000000005,33,61.17,880,10 -2012,6,17,18,30,232,72,551,4.800000000000001,30,73.09,880,11 -2012,6,17,19,30,54,32,229,4.9,28,84.52,880,12 -2012,6,17,20,30,0,0,0,5.1000000000000005,26,95.22,880,12 -2012,6,17,21,30,0,0,0,5.1000000000000005,25,104.8,880,13 -2012,6,17,22,30,0,0,0,5.1000000000000005,24,112.77,880,13 -2012,6,17,23,30,0,0,0,5.1000000000000005,23,118.46000000000001,880,12 -2012,6,18,0,30,0,0,0,5.1000000000000005,22,121.2,880,12 -2012,6,18,1,30,0,0,0,5,22,120.57000000000001,880,11 -2012,6,18,2,30,0,0,0,5.2,21,116.67,880,11 -2012,6,18,3,30,0,0,0,5.4,21,110.06,880,11 -2012,6,18,4,30,0,0,0,5.2,20,101.43,880,12 -2012,6,18,5,30,0,0,0,4.9,20,91.38,880,12 -2012,6,18,6,30,123,42,481,5,21,80.38,880,12 -2012,6,18,7,30,326,65,720,5,25,68.74,880,12 -2012,6,18,8,30,538,79,835,4.2,28,56.7,880,10 -2012,6,18,9,30,731,89,899,2.8000000000000003,32,44.47,880,7 -2012,6,18,10,30,887,95,936,1.9000000000000001,35,32.31,880,5 -2012,6,18,11,30,994,100,956,2.5,37,20.81,880,5 -2012,6,18,12,30,1041,107,957,3.6,38,12.49,880,4 -2012,6,18,13,30,1030,107,954,4.4,39,14.76,880,4 -2012,6,18,14,30,958,103,941,4.9,40,24.85,880,4 -2012,6,18,15,30,829,103,905,5.300000000000001,39,36.71,870,4 -2012,6,18,16,30,657,94,856,5.7,38,48.94,870,4 -2012,6,18,17,30,455,82,772,6,36,61.120000000000005,870,5 -2012,6,18,18,30,244,64,617,6.1000000000000005,33,73.04,880,7 -2012,6,18,19,30,58,30,285,6.4,30,84.47,880,10 -2012,6,18,20,30,0,0,0,6.5,28,95.17,880,12 -2012,6,18,21,30,0,0,0,6.5,27,104.76,880,13 -2012,6,18,22,30,0,0,0,6.800000000000001,26,112.73,880,13 -2012,6,18,23,30,0,0,0,7.2,25,118.43,880,14 -2012,6,19,0,30,0,0,0,7.2,24,121.18,880,14 -2012,6,19,1,30,0,0,0,7,23,120.56,880,14 -2012,6,19,2,30,0,0,0,6.5,22,116.68,880,14 -2012,6,19,3,30,0,0,0,5.9,22,110.08,880,14 -2012,6,19,4,30,0,0,0,5.1000000000000005,21,101.45,880,14 -2012,6,19,5,30,0,0,0,4.9,21,91.41,880,14 -2012,6,19,6,30,117,48,414,5.5,22,80.41,880,14 -2012,6,19,7,30,317,77,661,6.1000000000000005,24,68.78,880,14 -2012,6,19,8,30,526,96,783,6,27,56.74,880,14 -2012,6,19,9,30,716,110,849,5.9,30,44.51,880,13 -2012,6,19,10,30,869,121,885,6,33,32.35,880,12 -2012,6,19,11,30,972,129,901,6.300000000000001,35,20.84,880,11 -2012,6,19,12,30,1020,130,911,6.7,36,12.49,880,11 -2012,6,19,13,30,1006,129,906,7.1000000000000005,36,14.72,880,11 -2012,6,19,14,30,933,125,891,7.4,36,24.8,880,11 -2012,6,19,15,30,808,116,862,7.5,36,36.660000000000004,880,11 -2012,6,19,16,30,639,106,810,7.6000000000000005,35,48.89,880,11 -2012,6,19,17,30,441,92,721,7.5,34,61.07,880,11 -2012,6,19,18,30,234,71,559,7.2,32,72.99,880,11 -2012,6,19,19,30,55,32,230,7.1000000000000005,30,84.43,880,12 -2012,6,19,20,30,0,0,0,7.300000000000001,28,95.13,880,12 -2012,6,19,21,30,0,0,0,7.300000000000001,26,104.72,880,13 -2012,6,19,22,30,0,0,0,7.1000000000000005,25,112.7,880,13 -2012,6,19,23,30,0,0,0,6.800000000000001,25,118.41,880,13 -2012,6,20,0,30,0,0,0,6.6000000000000005,24,121.17,880,14 -2012,6,20,1,30,0,0,0,6.1000000000000005,23,120.56,880,14 -2012,6,20,2,30,0,0,0,5.9,22,116.69,880,14 -2012,6,20,3,30,0,0,0,5.9,22,110.10000000000001,880,14 -2012,6,20,4,30,0,0,0,5.800000000000001,21,101.48,880,14 -2012,6,20,5,30,0,0,0,5.800000000000001,21,91.45,880,15 -2012,6,20,6,30,109,54,334,6.4,22,80.45,880,15 -2012,6,20,7,30,302,91,583,6.800000000000001,24,68.82000000000001,880,16 -2012,6,20,8,30,370,239,239,6.4,26,56.78,880,16 -2012,6,20,9,30,692,133,783,5.9,29,44.550000000000004,880,16 -2012,6,20,10,30,843,147,824,5.4,31,32.39,880,16 -2012,6,20,11,30,947,155,847,5.1000000000000005,32,20.87,880,15 -2012,6,20,12,30,996,154,862,4.9,33,12.51,880,15 -2012,6,20,13,30,983,156,855,4.9,34,14.69,880,15 -2012,6,20,14,30,911,153,834,4.9,35,24.76,880,15 -2012,6,20,15,30,787,144,801,4.9,35,36.62,880,15 -2012,6,20,16,30,620,134,738,4.800000000000001,34,48.84,880,14 -2012,6,20,17,30,425,115,641,4.6000000000000005,33,61.03,880,14 -2012,6,20,18,30,224,86,471,4.1000000000000005,30,72.94,880,14 -2012,6,20,19,30,52,36,164,3.5,28,84.38,880,15 -2012,6,20,20,30,0,0,0,3.6,26,95.09,880,15 -2012,6,20,21,30,0,0,0,3.7,25,104.68,890,15 -2012,6,20,22,30,0,0,0,3.3000000000000003,23,112.67,890,15 -2012,6,20,23,30,0,0,0,2.7,22,118.39,890,15 -2012,6,21,0,30,0,0,0,2.1,22,121.16,890,16 -2012,6,21,1,30,0,0,0,1.9000000000000001,21,120.57000000000001,890,16 -2012,6,21,2,30,0,0,0,1.8,20,116.71000000000001,890,17 -2012,6,21,3,30,0,0,0,2,20,110.13,890,17 -2012,6,21,4,30,0,0,0,2.5,19,101.51,890,17 -2012,6,21,5,30,0,0,0,3.2,19,91.48,890,17 -2012,6,21,6,30,25,25,0,3.6,20,80.49,890,17 -2012,6,21,7,30,126,122,9,3.7,22,68.86,890,16 -2012,6,21,8,30,150,149,2,3.9000000000000004,23,56.83,890,16 -2012,6,21,9,30,163,159,5,4,25,44.6,890,16 -2012,6,21,10,30,285,271,16,3.8000000000000003,27,32.43,890,15 -2012,6,21,11,30,404,376,29,3.6,28,20.91,890,15 -2012,6,21,12,30,970,198,790,3.5,29,12.52,890,15 -2012,6,21,13,30,958,203,779,3.4000000000000004,29,14.66,890,15 -2012,6,21,14,30,888,201,756,3.4000000000000004,29,24.72,890,15 -2012,6,21,15,30,766,190,716,3.3000000000000003,29,36.58,890,15 -2012,6,21,16,30,602,174,649,3.3000000000000003,29,48.800000000000004,890,15 -2012,6,21,17,30,412,145,548,3.3000000000000003,28,60.99,890,15 -2012,6,21,18,30,216,103,385,3.2,27,72.9,890,15 -2012,6,21,19,30,49,38,108,3,25,84.35000000000001,890,16 -2012,6,21,20,30,0,0,0,3,24,95.05,890,16 -2012,6,21,21,30,0,0,0,3.1,23,104.66,890,17 -2012,6,21,22,30,0,0,0,3.1,22,112.65,890,17 -2012,6,21,23,30,0,0,0,3.1,21,118.38,890,17 -2012,6,22,0,30,0,0,0,3.1,21,121.17,890,18 -2012,6,22,1,30,0,0,0,3.1,20,120.59,890,18 -2012,6,22,2,30,0,0,0,3.2,19,116.73,890,18 -2012,6,22,3,30,0,0,0,3.4000000000000004,19,110.16,890,18 -2012,6,22,4,30,0,0,0,3.4000000000000004,19,101.55,890,18 -2012,6,22,5,30,0,0,0,3.6,19,91.53,890,18 -2012,6,22,6,30,108,52,341,4.2,21,80.54,890,17 -2012,6,22,7,30,302,81,614,4.800000000000001,23,68.91,890,16 -2012,6,22,8,30,508,97,752,5,26,56.870000000000005,890,15 -2012,6,22,9,30,697,107,829,5.1000000000000005,29,44.65,890,14 -2012,6,22,10,30,851,113,874,5.1000000000000005,32,32.480000000000004,890,14 -2012,6,22,11,30,958,117,899,5.1000000000000005,33,20.96,890,14 -2012,6,22,12,30,1009,117,914,5.1000000000000005,34,12.55,890,13 -2012,6,22,13,30,1000,116,913,5.1000000000000005,35,14.64,890,13 -2012,6,22,14,30,931,111,902,5.2,36,24.68,880,13 -2012,6,22,15,30,809,106,875,5.2,35,36.54,880,13 -2012,6,22,16,30,644,95,833,5.300000000000001,34,48.76,880,12 -2012,6,22,17,30,449,81,758,5.300000000000001,33,60.95,880,12 -2012,6,22,18,30,244,62,618,4.7,31,72.87,880,12 -2012,6,22,19,30,61,30,306,3.9000000000000004,29,84.31,880,12 -2012,6,22,20,30,0,0,0,3.8000000000000003,27,95.02,880,12 -2012,6,22,21,30,0,0,0,4.1000000000000005,25,104.63,880,13 -2012,6,22,22,30,0,0,0,4.3,24,112.63,880,13 -2012,6,22,23,30,0,0,0,4.4,23,118.38,880,14 -2012,6,23,0,30,0,0,0,4.5,22,121.17,880,14 -2012,6,23,1,30,0,0,0,4.4,22,120.61,880,14 -2012,6,23,2,30,0,0,0,4.3,21,116.77,880,13 -2012,6,23,3,30,0,0,0,4.1000000000000005,20,110.2,880,13 -2012,6,23,4,30,0,0,0,3.9000000000000004,20,101.60000000000001,880,13 -2012,6,23,5,30,0,0,0,4,20,91.57000000000001,880,13 -2012,6,23,6,30,116,45,432,4.6000000000000005,22,80.58,880,13 -2012,6,23,7,30,314,73,670,5.5,26,68.96000000000001,880,13 -2012,6,23,8,30,521,90,788,6,29,56.92,890,13 -2012,6,23,9,30,711,103,856,5.7,31,44.7,880,12 -2012,6,23,10,30,868,110,898,5.5,33,32.53,880,11 -2012,6,23,11,30,977,114,924,5.4,35,21.01,880,11 -2012,6,23,12,30,1031,114,939,5.4,36,12.58,880,10 -2012,6,23,13,30,1025,111,943,5.4,37,14.63,880,9 -2012,6,23,14,30,958,106,937,5.5,37,24.650000000000002,880,8 -2012,6,23,15,30,831,106,901,5.6000000000000005,36,36.5,880,7 -2012,6,23,16,30,663,96,859,5.5,35,48.730000000000004,880,6 -2012,6,23,17,30,463,82,782,5.300000000000001,34,60.910000000000004,880,6 -2012,6,23,18,30,252,63,638,4.3,32,72.84,880,6 -2012,6,23,19,30,63,31,322,3.5,28,84.28,880,7 -2012,6,23,20,30,0,0,0,3.6,26,95,880,8 -2012,6,23,21,30,0,0,0,3.8000000000000003,25,104.62,880,7 -2012,6,23,22,30,0,0,0,3.8000000000000003,23,112.63,890,7 -2012,6,23,23,30,0,0,0,3.8000000000000003,22,118.38,890,7 -2012,6,24,0,30,0,0,0,3.6,21,121.19,890,7 -2012,6,24,1,30,0,0,0,3.4000000000000004,20,120.63,890,8 -2012,6,24,2,30,0,0,0,3.2,19,116.8,890,8 -2012,6,24,3,30,0,0,0,3,19,110.24000000000001,890,8 -2012,6,24,4,30,0,0,0,2.8000000000000003,18,101.64,890,8 -2012,6,24,5,30,0,0,0,3.2,19,91.62,890,8 -2012,6,24,6,30,119,43,463,3.6,21,80.64,890,8 -2012,6,24,7,30,322,69,704,3.8000000000000003,25,69.01,890,9 -2012,6,24,8,30,534,85,823,4.2,29,56.980000000000004,890,9 -2012,6,24,9,30,729,96,891,4,32,44.75,890,9 -2012,6,24,10,30,888,104,930,3.6,34,32.59,890,8 -2012,6,24,11,30,997,109,951,3.6,36,21.06,890,7 -2012,6,24,12,30,1049,109,963,3.8000000000000003,37,12.620000000000001,890,6 -2012,6,24,13,30,1038,110,959,3.9000000000000004,38,14.620000000000001,890,5 -2012,6,24,14,30,966,109,942,4,38,24.62,890,5 -2012,6,24,15,30,840,102,917,4,37,36.47,890,5 -2012,6,24,16,30,667,96,865,3.9000000000000004,36,48.69,890,5 -2012,6,24,17,30,464,85,779,3.5,35,60.88,890,5 -2012,6,24,18,30,252,67,626,2.4000000000000004,32,72.81,890,6 -2012,6,24,19,30,63,32,306,1.6,28,84.26,890,9 -2012,6,24,20,30,0,0,0,1.8,26,94.98,890,9 -2012,6,24,21,30,0,0,0,1.9000000000000001,25,104.60000000000001,890,9 -2012,6,24,22,30,0,0,0,2,24,112.62,890,9 -2012,6,24,23,30,0,0,0,2,23,118.39,890,9 -2012,6,25,0,30,0,0,0,2.1,22,121.21000000000001,890,9 -2012,6,25,1,30,0,0,0,2.1,21,120.67,890,9 -2012,6,25,2,30,0,0,0,2.1,20,116.85000000000001,890,9 -2012,6,25,3,30,0,0,0,2,20,110.29,890,9 -2012,6,25,4,30,0,0,0,2,19,101.7,890,8 -2012,6,25,5,30,0,0,0,2.4000000000000004,20,91.68,890,8 -2012,6,25,6,30,118,44,459,3,23,80.69,890,8 -2012,6,25,7,30,321,70,700,2.9000000000000004,27,69.06,890,8 -2012,6,25,8,30,532,86,820,2.3000000000000003,31,57.03,890,9 -2012,6,25,9,30,727,97,888,1.9000000000000001,34,44.81,890,8 -2012,6,25,10,30,885,103,929,2,36,32.64,890,8 -2012,6,25,11,30,995,107,951,2.5,37,21.12,890,6 -2012,6,25,12,30,1045,112,956,3,38,12.66,890,5 -2012,6,25,13,30,1036,110,956,3.3000000000000003,39,14.620000000000001,890,4 -2012,6,25,14,30,965,106,945,3.6,39,24.6,890,4 -2012,6,25,15,30,835,110,901,3.9000000000000004,38,36.44,890,3 -2012,6,25,16,30,665,98,857,4,37,48.660000000000004,880,3 -2012,6,25,17,30,465,83,782,3.8000000000000003,36,60.85,880,2 -2012,6,25,18,30,253,63,643,2.7,33,72.78,880,3 -2012,6,25,19,30,64,30,337,2,29,84.24,880,6 -2012,6,25,20,30,0,0,0,2.2,27,94.97,890,6 -2012,6,25,21,30,0,0,0,2.5,26,104.60000000000001,890,6 -2012,6,25,22,30,0,0,0,3,25,112.63,890,7 -2012,6,25,23,30,0,0,0,3.2,24,118.4,890,7 -2012,6,26,0,30,0,0,0,3.3000000000000003,23,121.24000000000001,890,7 -2012,6,26,1,30,0,0,0,3.2,22,120.71000000000001,890,8 -2012,6,26,2,30,0,0,0,3.1,22,116.9,890,8 -2012,6,26,3,30,0,0,0,2.9000000000000004,21,110.35000000000001,890,8 -2012,6,26,4,30,0,0,0,2.7,20,101.75,890,8 -2012,6,26,5,30,0,0,0,3.2,21,91.74,890,8 -2012,6,26,6,30,114,44,434,3.7,23,80.75,890,8 -2012,6,26,7,30,314,74,671,3.8000000000000003,27,69.12,890,8 -2012,6,26,8,30,523,94,789,4,32,57.09,890,8 -2012,6,26,9,30,715,108,856,4.3,35,44.87,890,6 -2012,6,26,10,30,872,118,896,4.4,37,32.7,890,5 -2012,6,26,11,30,981,125,918,4.6000000000000005,38,21.18,880,5 -2012,6,26,12,30,1034,127,929,4.9,39,12.71,880,4 -2012,6,26,13,30,1025,125,929,5.1000000000000005,40,14.620000000000001,880,3 -2012,6,26,14,30,955,120,917,5.2,40,24.580000000000002,880,3 -2012,6,26,15,30,831,110,895,5.1000000000000005,40,36.42,880,3 -2012,6,26,16,30,660,100,848,5,39,48.64,880,3 -2012,6,26,17,30,460,86,767,4.6000000000000005,38,60.83,880,2 -2012,6,26,18,30,249,66,620,3.4000000000000004,35,72.76,880,3 -2012,6,26,19,30,62,31,309,2.7,31,84.22,880,5 -2012,6,26,20,30,0,0,0,3.4000000000000004,29,94.96000000000001,880,6 -2012,6,26,21,30,0,0,0,4.2,28,104.60000000000001,880,6 -2012,6,26,22,30,0,0,0,4.6000000000000005,27,112.64,880,6 -2012,6,26,23,30,0,0,0,4.7,26,118.42,880,6 -2012,6,27,0,30,0,0,0,4.7,25,121.28,880,6 -2012,6,27,1,30,0,0,0,4.6000000000000005,24,120.76,880,6 -2012,6,27,2,30,0,0,0,4.4,23,116.95,880,7 -2012,6,27,3,30,0,0,0,4.1000000000000005,22,110.41,880,7 -2012,6,27,4,30,0,0,0,3.8000000000000003,22,101.82000000000001,880,8 -2012,6,27,5,30,0,0,0,3.8000000000000003,22,91.8,890,8 -2012,6,27,6,30,110,47,396,3.9000000000000004,24,80.81,890,8 -2012,6,27,7,30,305,80,632,3.8000000000000003,28,69.19,890,8 -2012,6,27,8,30,511,104,751,3.7,32,57.15,890,8 -2012,6,27,9,30,701,121,819,3.6,36,44.93,890,7 -2012,6,27,10,30,856,134,858,3.3000000000000003,39,32.76,890,5 -2012,6,27,11,30,964,144,879,3.4000000000000004,40,21.240000000000002,890,4 -2012,6,27,12,30,1017,143,896,3.8000000000000003,41,12.77,880,4 -2012,6,27,13,30,1007,142,893,4.4,41,14.63,880,4 -2012,6,27,14,30,937,138,877,5,41,24.57,880,4 -2012,6,27,15,30,805,145,819,5.4,40,36.4,880,4 -2012,6,27,16,30,636,132,762,5.6000000000000005,39,48.620000000000005,880,4 -2012,6,27,17,30,439,112,670,5.5,38,60.81,880,4 -2012,6,27,18,30,235,82,514,4.7,35,72.75,880,5 -2012,6,27,19,30,57,34,219,3.9000000000000004,32,84.21000000000001,880,6 -2012,6,27,20,30,0,0,0,3.9000000000000004,30,94.95,890,7 -2012,6,27,21,30,0,0,0,4.2,29,104.60000000000001,890,8 -2012,6,27,22,30,0,0,0,4,27,112.65,890,9 -2012,6,27,23,30,0,0,0,3.7,26,118.45,890,10 -2012,6,28,0,30,0,0,0,3.5,25,121.32000000000001,890,10 -2012,6,28,1,30,0,0,0,3.3000000000000003,25,120.81,890,10 -2012,6,28,2,30,0,0,0,3.1,24,117.01,890,11 -2012,6,28,3,30,0,0,0,2.8000000000000003,23,110.47,890,11 -2012,6,28,4,30,0,0,0,2.6,22,101.88,890,11 -2012,6,28,5,30,0,0,0,2.9000000000000004,22,91.87,890,11 -2012,6,28,6,30,98,57,258,3.1,24,80.88,890,11 -2012,6,28,7,30,284,110,493,3.6,28,69.25,890,11 -2012,6,28,8,30,486,143,631,4,32,57.22,890,11 -2012,6,28,9,30,674,166,718,3.1,35,44.99,890,9 -2012,6,28,10,30,830,178,776,2.2,38,32.83,890,8 -2012,6,28,11,30,939,183,811,2.3000000000000003,39,21.31,890,7 -2012,6,28,12,30,995,177,838,3,40,12.83,890,7 -2012,6,28,13,30,987,175,839,3.6,41,14.65,890,7 -2012,6,28,14,30,919,169,824,4,41,24.560000000000002,890,7 -2012,6,28,15,30,800,149,808,4.3,40,36.38,880,7 -2012,6,28,16,30,634,134,756,4.6000000000000005,39,48.6,880,7 -2012,6,28,17,30,439,113,668,4.7,38,60.79,880,7 -2012,6,28,18,30,235,83,514,4.1000000000000005,35,72.73,880,7 -2012,6,28,19,30,57,35,219,3.5,32,84.21000000000001,880,8 -2012,6,28,20,30,0,0,0,3.6,30,94.95,890,9 -2012,6,28,21,30,0,0,0,4,29,104.61,890,9 -2012,6,28,22,30,0,0,0,4.3,28,112.67,890,10 -2012,6,28,23,30,0,0,0,4.3,26,118.49000000000001,890,11 -2012,6,29,0,30,0,0,0,4,26,121.37,890,11 -2012,6,29,1,30,0,0,0,3.6,25,120.87,890,11 -2012,6,29,2,30,0,0,0,3.2,25,117.08,890,11 -2012,6,29,3,30,0,0,0,2.8000000000000003,24,110.54,890,11 -2012,6,29,4,30,0,0,0,2.7,24,101.96000000000001,890,11 -2012,6,29,5,30,0,0,0,3.3000000000000003,24,91.94,890,11 -2012,6,29,6,30,95,60,220,4.4,26,80.95,890,11 -2012,6,29,7,30,157,140,49,5.300000000000001,28,69.32000000000001,890,10 -2012,6,29,8,30,439,179,482,5.4,31,57.29,890,10 -2012,6,29,9,30,333,300,47,4.6000000000000005,33,45.06,890,9 -2012,6,29,10,30,411,366,53,3.6,36,32.9,890,9 -2012,6,29,11,30,927,193,788,3,37,21.38,890,8 -2012,6,29,12,30,985,177,829,3.1,38,12.9,880,8 -2012,6,29,13,30,980,166,841,3.7,39,14.67,880,8 -2012,6,29,14,30,915,155,834,4.2,40,24.55,880,8 -2012,6,29,15,30,794,144,807,4.4,39,36.37,880,8 -2012,6,29,16,30,629,132,751,4.5,38,48.59,880,8 -2012,6,29,17,30,434,115,652,4.4,37,60.78,880,7 -2012,6,29,18,30,79,79,0,3.8000000000000003,35,72.72,880,7 -2012,6,29,19,30,24,24,0,3.6,32,84.2,880,8 -2012,6,29,20,30,0,0,0,4.3,30,94.96000000000001,880,9 -2012,6,29,21,30,0,0,0,4.6000000000000005,29,104.63,880,9 -2012,6,29,22,30,0,0,0,4.5,27,112.7,880,9 -2012,6,29,23,30,0,0,0,4.2,26,118.53,880,10 -2012,6,30,0,30,0,0,0,3.8000000000000003,25,121.42,880,9 -2012,6,30,1,30,0,0,0,3.6,24,120.94,880,9 -2012,6,30,2,30,0,0,0,3.4000000000000004,24,117.15,880,9 -2012,6,30,3,30,0,0,0,3.1,23,110.62,880,9 -2012,6,30,4,30,0,0,0,2.7,23,102.03,880,9 -2012,6,30,5,30,0,0,0,2.5,23,92.01,880,9 -2012,6,30,6,30,98,58,256,3,25,81.02,880,10 -2012,6,30,7,30,284,109,497,3.5,28,69.39,880,10 -2012,6,30,8,30,485,140,640,3,31,57.35,880,10 -2012,6,30,9,30,672,162,722,1.7000000000000002,34,45.13,880,9 -2012,6,30,10,30,825,179,769,1.5,37,32.97,880,9 -2012,6,30,11,30,930,190,795,2.6,38,21.45,880,9 -2012,6,30,12,30,976,205,791,3.5,39,12.97,880,9 -2012,6,30,13,30,964,209,780,3.9000000000000004,39,14.700000000000001,880,9 -2012,6,30,14,30,569,462,117,4.3,39,24.55,880,9 -2012,6,30,15,30,769,204,701,4.6000000000000005,38,36.36,880,10 -2012,6,30,16,30,604,186,632,4.800000000000001,37,48.58,880,10 -2012,6,30,17,30,198,184,29,5.1000000000000005,36,60.77,880,10 -2012,6,30,18,30,150,115,116,5.1000000000000005,34,72.72,880,10 -2012,6,30,19,30,24,24,0,4.4,32,84.21000000000001,880,11 -2012,6,30,20,30,0,0,0,3.8000000000000003,30,94.97,880,11 -2012,6,30,21,30,0,0,0,3.5,28,104.65,880,10 -2012,6,30,22,30,0,0,0,3.3000000000000003,27,112.74000000000001,880,10 -2012,6,30,23,30,0,0,0,3.2,26,118.58,880,10 -2012,7,1,0,30,0,0,0,3.3000000000000003,25,121.49000000000001,880,11 -2012,7,1,1,30,0,0,0,3.4000000000000004,24,121.01,880,12 -2012,7,1,2,30,0,0,0,3.4000000000000004,23,117.23,880,13 -2012,7,1,3,30,0,0,0,3.5,22,110.7,890,14 -2012,7,1,4,30,0,0,0,3.5,22,102.11,890,15 -2012,7,1,5,30,0,0,0,3.8000000000000003,22,92.09,890,15 -2012,7,1,6,30,4,4,0,4.6000000000000005,23,81.10000000000001,890,15 -2012,7,1,7,30,284,98,528,5.2,26,69.46000000000001,890,15 -2012,7,1,8,30,484,127,663,5,29,57.43,890,15 -2012,7,1,9,30,669,147,740,4.7,31,45.2,890,15 -2012,7,1,10,30,821,164,784,4.5,33,33.04,890,14 -2012,7,1,11,30,926,178,803,4.5,34,21.53,890,14 -2012,7,1,12,30,976,186,811,4.5,35,13.06,890,13 -2012,7,1,13,30,967,189,804,4.6000000000000005,35,14.74,880,12 -2012,7,1,14,30,902,182,791,4.6000000000000005,36,24.560000000000002,880,11 -2012,7,1,15,30,791,147,799,4.7,35,36.35,880,10 -2012,7,1,16,30,630,126,762,4.800000000000001,34,48.57,880,9 -2012,7,1,17,30,438,103,686,4.9,33,60.77,880,9 -2012,7,1,18,30,236,76,540,4.7,32,72.72,880,9 -2012,7,1,19,30,58,33,244,4.1000000000000005,29,84.21000000000001,880,9 -2012,7,1,20,30,0,0,0,3.8000000000000003,27,94.98,890,10 -2012,7,1,21,30,0,0,0,4,26,104.67,890,11 -2012,7,1,22,30,0,0,0,4.1000000000000005,25,112.78,890,12 -2012,7,1,23,30,0,0,0,4,24,118.64,890,13 -2012,7,2,0,30,0,0,0,3.7,23,121.55,890,13 -2012,7,2,1,30,0,0,0,3.3000000000000003,23,121.09,890,14 -2012,7,2,2,30,0,0,0,3,22,117.32000000000001,890,14 -2012,7,2,3,30,0,0,0,2.9000000000000004,21,110.78,890,14 -2012,7,2,4,30,0,0,0,2.9000000000000004,21,102.19,890,14 -2012,7,2,5,30,0,0,0,3.4000000000000004,21,92.17,890,14 -2012,7,2,6,30,96,51,297,4.5,23,81.17,890,14 -2012,7,2,7,30,284,92,547,5.2,25,69.54,890,14 -2012,7,2,8,30,487,117,688,5.1000000000000005,28,57.5,890,14 -2012,7,2,9,30,677,134,771,5,30,45.27,890,13 -2012,7,2,10,30,832,145,819,5.1000000000000005,32,33.11,890,13 -2012,7,2,11,30,940,153,847,5.300000000000001,33,21.61,890,12 -2012,7,2,12,30,992,156,858,5.4,34,13.14,890,12 -2012,7,2,13,30,982,156,854,5.5,35,14.780000000000001,880,12 -2012,7,2,14,30,913,153,836,5.6000000000000005,35,24.57,880,12 -2012,7,2,15,30,790,147,798,5.6000000000000005,34,36.35,880,12 -2012,7,2,16,30,625,135,740,5.6000000000000005,33,48.57,880,12 -2012,7,2,17,30,430,116,644,5.5,32,60.77,880,12 -2012,7,2,18,30,229,86,479,5.2,31,72.73,880,12 -2012,7,2,19,30,54,36,178,4.7,29,84.22,880,13 -2012,7,2,20,30,0,0,0,4.1000000000000005,27,95.01,890,13 -2012,7,2,21,30,0,0,0,3.9000000000000004,26,104.71000000000001,890,13 -2012,7,2,22,30,0,0,0,3.8000000000000003,25,112.82000000000001,890,13 -2012,7,2,23,30,0,0,0,3.8000000000000003,25,118.7,890,13 -2012,7,3,0,30,0,0,0,3.9000000000000004,24,121.63,890,13 -2012,7,3,1,30,0,0,0,3.9000000000000004,24,121.18,890,13 -2012,7,3,2,30,0,0,0,3.7,23,117.41,890,13 -2012,7,3,3,30,0,0,0,3.7,22,110.88,890,13 -2012,7,3,4,30,0,0,0,3.6,22,102.28,890,14 -2012,7,3,5,30,0,0,0,3.8000000000000003,22,92.26,890,14 -2012,7,3,6,30,92,55,243,4.9,24,81.26,890,14 -2012,7,3,7,30,277,103,498,5.4,26,69.62,890,15 -2012,7,3,8,30,478,133,643,4.9,28,57.58,890,15 -2012,7,3,9,30,665,152,730,4.4,30,45.35,890,15 -2012,7,3,10,30,819,166,780,4.4,32,33.19,890,15 -2012,7,3,11,30,926,178,804,4.7,33,21.7,890,15 -2012,7,3,12,30,973,194,800,5,34,13.24,880,15 -2012,7,3,13,30,961,202,785,5.300000000000001,34,14.83,880,15 -2012,7,3,14,30,891,201,759,5.5,34,24.580000000000002,880,15 -2012,7,3,15,30,772,185,729,5.6000000000000005,34,36.36,880,15 -2012,7,3,16,30,609,166,668,5.800000000000001,33,48.57,880,15 -2012,7,3,17,30,419,136,580,5.6000000000000005,32,60.78,880,15 -2012,7,3,18,30,175,111,217,5,31,72.74,880,15 -2012,7,3,19,30,53,38,143,4.1000000000000005,29,84.24,880,14 -2012,7,3,20,30,0,0,0,3.7,28,95.03,880,14 -2012,7,3,21,30,0,0,0,3.8000000000000003,27,104.75,880,14 -2012,7,3,22,30,0,0,0,3.9000000000000004,26,112.88,880,14 -2012,7,3,23,30,0,0,0,4.2,26,118.77,880,14 -2012,7,4,0,30,0,0,0,4.6000000000000005,25,121.71000000000001,880,14 -2012,7,4,1,30,0,0,0,4.800000000000001,24,121.27,880,14 -2012,7,4,2,30,0,0,0,4.9,24,117.51,880,15 -2012,7,4,3,30,0,0,0,4.6000000000000005,23,110.97,880,15 -2012,7,4,4,30,0,0,0,4.1000000000000005,23,102.38,880,15 -2012,7,4,5,30,0,0,0,4.1000000000000005,23,92.34,890,15 -2012,7,4,6,30,92,53,259,5,24,81.34,890,15 -2012,7,4,7,30,279,95,530,5.5,26,69.7,890,15 -2012,7,4,8,30,483,115,689,5.2,29,57.65,890,15 -2012,7,4,9,30,675,124,785,5,31,45.42,890,15 -2012,7,4,10,30,833,128,843,5.300000000000001,33,33.27,880,15 -2012,7,4,11,30,943,130,875,5.7,34,21.78,880,14 -2012,7,4,12,30,997,129,891,6,35,13.33,880,14 -2012,7,4,13,30,989,126,892,6.1000000000000005,36,14.89,880,13 -2012,7,4,14,30,921,123,878,6.2,37,24.6,880,13 -2012,7,4,15,30,790,138,809,6.2,36,36.37,880,13 -2012,7,4,16,30,623,131,743,6.1000000000000005,35,48.58,880,13 -2012,7,4,17,30,427,116,636,6,34,60.78,880,13 -2012,7,4,18,30,225,89,460,5.6000000000000005,32,72.75,880,13 -2012,7,4,19,30,52,37,155,5,31,84.26,880,14 -2012,7,4,20,30,0,0,0,4.5,29,95.06,880,14 -2012,7,4,21,30,0,0,0,3.9000000000000004,28,104.79,880,14 -2012,7,4,22,30,0,0,0,3.4000000000000004,27,112.94,890,15 -2012,7,4,23,30,0,0,0,3.2,26,118.84,890,15 -2012,7,5,0,30,0,0,0,3,25,121.8,890,15 -2012,7,5,1,30,0,0,0,2.7,25,121.37,890,15 -2012,7,5,2,30,0,0,0,2.5,24,117.61,890,16 -2012,7,5,3,30,0,0,0,2.5,23,111.07000000000001,890,16 -2012,7,5,4,30,0,0,0,2.6,22,102.47,890,16 -2012,7,5,5,30,0,0,0,3.2,22,92.44,890,16 -2012,7,5,6,30,92,52,270,4.3,24,81.43,890,16 -2012,7,5,7,30,279,95,535,5,26,69.78,890,15 -2012,7,5,8,30,484,116,689,5,29,57.730000000000004,890,15 -2012,7,5,9,30,677,127,785,5,31,45.5,890,14 -2012,7,5,10,30,837,130,846,5.300000000000001,33,33.35,890,13 -2012,7,5,11,30,949,129,883,5.7,34,21.88,890,12 -2012,7,5,12,30,1001,134,891,6.1000000000000005,35,13.44,890,11 -2012,7,5,13,30,994,131,893,6.4,36,14.950000000000001,890,10 -2012,7,5,14,30,926,127,878,6.6000000000000005,36,24.63,880,10 -2012,7,5,15,30,803,121,847,6.7,35,36.38,880,9 -2012,7,5,16,30,636,111,794,6.800000000000001,34,48.59,880,10 -2012,7,5,17,30,441,96,707,6.6000000000000005,33,60.800000000000004,880,10 -2012,7,5,18,30,237,72,557,6,31,72.77,890,10 -2012,7,5,19,30,58,33,254,4.9,29,84.29,890,10 -2012,7,5,20,30,0,0,0,4.1000000000000005,27,95.10000000000001,890,11 -2012,7,5,21,30,0,0,0,3.9000000000000004,26,104.84,890,11 -2012,7,5,22,30,0,0,0,3.7,25,113,890,12 -2012,7,5,23,30,0,0,0,3.5,24,118.92,890,13 -2012,7,6,0,30,0,0,0,3.2,23,121.9,890,13 -2012,7,6,1,30,0,0,0,2.7,22,121.47,890,13 -2012,7,6,2,30,0,0,0,2.3000000000000003,21,117.72,890,13 -2012,7,6,3,30,0,0,0,1.9000000000000001,21,111.18,890,13 -2012,7,6,4,30,0,0,0,1.5,20,102.57000000000001,890,13 -2012,7,6,5,30,0,0,0,1.9000000000000001,20,92.53,890,12 -2012,7,6,6,30,99,41,395,2.8000000000000003,23,81.52,890,12 -2012,7,6,7,30,293,70,647,3.7,26,69.86,890,12 -2012,7,6,8,30,499,88,771,4.4,29,57.82,890,12 -2012,7,6,9,30,689,100,840,4.6000000000000005,31,45.58,890,12 -2012,7,6,10,30,844,109,880,4.800000000000001,33,33.44,890,11 -2012,7,6,11,30,952,114,903,5,34,21.97,890,11 -2012,7,6,12,30,1005,111,919,5.1000000000000005,35,13.55,890,11 -2012,7,6,13,30,996,112,915,5.300000000000001,35,15.02,890,11 -2012,7,6,14,30,928,111,898,5.2,36,24.66,890,10 -2012,7,6,15,30,805,107,867,5.1000000000000005,35,36.4,890,10 -2012,7,6,16,30,640,99,817,5,34,48.6,890,10 -2012,7,6,17,30,444,87,732,4.7,33,60.82,890,10 -2012,7,6,18,30,239,68,580,3.8000000000000003,32,72.79,890,10 -2012,7,6,19,30,58,32,267,2.7,30,84.32000000000001,890,10 -2012,7,6,20,30,0,0,0,2.4000000000000004,28,95.14,890,11 -2012,7,6,21,30,0,0,0,2.6,27,104.9,890,11 -2012,7,6,22,30,0,0,0,2.8000000000000003,27,113.07000000000001,890,11 -2012,7,6,23,30,0,0,0,2.8000000000000003,26,119.01,890,11 -2012,7,7,0,30,0,0,0,2.7,25,122,890,11 -2012,7,7,1,30,0,0,0,2.5,25,121.59,890,11 -2012,7,7,2,30,0,0,0,2.2,24,117.83,890,11 -2012,7,7,3,30,0,0,0,1.9000000000000001,23,111.29,890,11 -2012,7,7,4,30,0,0,0,1.7000000000000002,22,102.68,890,11 -2012,7,7,5,30,0,0,0,2.2,22,92.63,890,11 -2012,7,7,6,30,95,46,337,2.7,24,81.61,890,11 -2012,7,7,7,30,286,80,602,2.3000000000000003,28,69.95,890,11 -2012,7,7,8,30,492,101,736,1.4000000000000001,31,57.9,890,11 -2012,7,7,9,30,682,116,809,0.8,32,45.67,890,11 -2012,7,7,10,30,838,128,852,1.1,34,33.52,890,10 -2012,7,7,11,30,947,135,875,1.6,35,22.07,890,10 -2012,7,7,12,30,601,476,127,2,36,13.67,890,9 -2012,7,7,13,30,676,504,178,2.2,37,15.1,890,9 -2012,7,7,14,30,628,440,206,2.4000000000000004,37,24.7,890,9 -2012,7,7,15,30,794,145,806,2.7,36,36.42,890,9 -2012,7,7,16,30,578,212,553,2.9000000000000004,35,48.620000000000005,890,9 -2012,7,7,17,30,345,194,310,2.9000000000000004,34,60.84,890,9 -2012,7,7,18,30,210,89,410,2.2,33,72.82000000000001,890,9 -2012,7,7,19,30,49,36,135,1.5,31,84.36,890,10 -2012,7,7,20,30,0,0,0,1.6,29,95.19,890,11 -2012,7,7,21,30,0,0,0,2.2,28,104.96000000000001,890,11 -2012,7,7,22,30,0,0,0,2.8000000000000003,28,113.15,890,12 -2012,7,7,23,30,0,0,0,3.2,27,119.11,890,12 -2012,7,8,0,30,0,0,0,3.2,26,122.11,890,12 -2012,7,8,1,30,0,0,0,2.7,25,121.7,890,12 -2012,7,8,2,30,0,0,0,2,24,117.95,890,12 -2012,7,8,3,30,0,0,0,1.5,23,111.4,890,12 -2012,7,8,4,30,0,0,0,1.2000000000000002,22,102.78,890,12 -2012,7,8,5,30,0,0,0,1.4000000000000001,23,92.73,890,12 -2012,7,8,6,30,91,46,311,1.6,25,81.7,890,12 -2012,7,8,7,30,279,85,568,1,29,70.04,890,12 -2012,7,8,8,30,480,111,697,1.3,32,57.99,890,11 -2012,7,8,9,30,595,247,497,2.5,34,45.75,890,11 -2012,7,8,10,30,820,150,804,3,35,33.61,890,11 -2012,7,8,11,30,611,449,174,3.3000000000000003,35,22.17,890,11 -2012,7,8,12,30,978,166,836,3.4000000000000004,36,13.790000000000001,890,11 -2012,7,8,13,30,319,301,18,3.4000000000000004,35,15.18,890,11 -2012,7,8,14,30,490,431,65,3.4000000000000004,35,24.740000000000002,890,12 -2012,7,8,15,30,772,174,743,3.3000000000000003,34,36.45,890,12 -2012,7,8,16,30,604,169,657,3,32,48.65,890,12 -2012,7,8,17,30,408,153,524,2.6,31,60.86,890,13 -2012,7,8,18,30,199,115,283,2.1,29,72.85000000000001,890,13 -2012,7,8,19,30,44,36,77,2,27,84.4,890,14 -2012,7,8,20,30,0,0,0,2.3000000000000003,25,95.24,890,15 -2012,7,8,21,30,0,0,0,2.7,24,105.02,890,16 -2012,7,8,22,30,0,0,0,2.9000000000000004,22,113.23,890,17 -2012,7,8,23,30,0,0,0,2.8000000000000003,22,119.21000000000001,890,18 -2012,7,9,0,30,0,0,0,2.6,21,122.23,890,18 -2012,7,9,1,30,0,0,0,2.6,21,121.83,890,18 -2012,7,9,2,30,0,0,0,2.7,21,118.07000000000001,890,18 -2012,7,9,3,30,0,0,0,2.7,20,111.52,890,18 -2012,7,9,4,30,0,0,0,2.7,20,102.9,890,18 -2012,7,9,5,30,0,0,0,2.9000000000000004,20,92.83,890,18 -2012,7,9,6,30,22,22,0,3,20,81.8,890,18 -2012,7,9,7,30,32,32,0,3.1,21,70.13,890,18 -2012,7,9,8,30,164,161,6,3,23,58.07,890,17 -2012,7,9,9,30,168,164,5,2.8000000000000003,25,45.84,890,17 -2012,7,9,10,30,97,97,0,2.6,26,33.7,890,17 -2012,7,9,11,30,168,160,8,2.4000000000000004,27,22.28,890,17 -2012,7,9,12,30,218,205,13,2.3000000000000003,27,13.91,890,17 -2012,7,9,13,30,948,191,784,2.3000000000000003,26,15.27,890,16 -2012,7,9,14,30,169,161,8,2.4000000000000004,26,24.79,890,17 -2012,7,9,15,30,628,374,315,2.5,26,36.480000000000004,890,17 -2012,7,9,16,30,505,265,363,2.5,25,48.68,890,17 -2012,7,9,17,30,280,211,142,2.4000000000000004,24,60.9,890,17 -2012,7,9,18,30,116,107,30,2.1,23,72.89,890,17 -2012,7,9,19,30,51,34,183,1.7000000000000002,22,84.45,890,18 -2012,7,9,20,30,0,0,0,1.9000000000000001,22,95.3,890,18 -2012,7,9,21,30,0,0,0,2.1,21,105.10000000000001,890,18 -2012,7,9,22,30,0,0,0,2.1,21,113.32000000000001,890,18 -2012,7,9,23,30,0,0,0,2,21,119.31,890,19 -2012,7,10,0,30,0,0,0,1.9000000000000001,20,122.35000000000001,890,19 -2012,7,10,1,30,0,0,0,2,20,121.96000000000001,890,19 -2012,7,10,2,30,0,0,0,2.1,20,118.2,890,19 -2012,7,10,3,30,0,0,0,2.2,20,111.64,890,19 -2012,7,10,4,30,0,0,0,2.4000000000000004,19,103.01,890,19 -2012,7,10,5,30,0,0,0,3.1,19,92.94,890,19 -2012,7,10,6,30,33,33,0,4,19,81.9,890,19 -2012,7,10,7,30,47,47,0,4.5,20,70.22,890,18 -2012,7,10,8,30,242,215,51,4.5,21,58.160000000000004,890,18 -2012,7,10,9,30,343,303,57,4.4,21,45.93,890,18 -2012,7,10,10,30,172,166,7,4.3,22,33.8,890,17 -2012,7,10,11,30,329,311,19,4.1000000000000005,23,22.38,890,17 -2012,7,10,12,30,252,238,14,4,24,14.05,890,16 -2012,7,10,13,30,541,471,72,3.8000000000000003,25,15.370000000000001,890,16 -2012,7,10,14,30,729,434,325,3.7,26,24.84,890,15 -2012,7,10,15,30,486,393,115,3.8000000000000003,26,36.52,890,15 -2012,7,10,16,30,436,302,202,4,26,48.71,890,15 -2012,7,10,17,30,418,130,593,4,25,60.93,890,15 -2012,7,10,18,30,212,85,431,3.3000000000000003,24,72.93,890,15 -2012,7,10,19,30,46,35,121,1.9000000000000001,23,84.5,890,15 -2012,7,10,20,30,0,0,0,1,21,95.37,890,15 -2012,7,10,21,30,0,0,0,0.7000000000000001,20,105.18,890,15 -2012,7,10,22,30,0,0,0,0.6000000000000001,20,113.42,890,15 -2012,7,10,23,30,0,0,0,0.5,20,119.43,890,15 -2012,7,11,0,30,0,0,0,0.6000000000000001,19,122.48,890,15 -2012,7,11,1,30,0,0,0,0.8,18,122.09,890,15 -2012,7,11,2,30,0,0,0,0.9,18,118.34,890,15 -2012,7,11,3,30,0,0,0,1.1,18,111.77,890,14 -2012,7,11,4,30,0,0,0,1.2000000000000002,17,103.13,890,14 -2012,7,11,5,30,0,0,0,1.7000000000000002,18,93.05,890,14 -2012,7,11,6,30,60,48,87,2.3000000000000003,20,82,890,14 -2012,7,11,7,30,175,136,114,2.8000000000000003,23,70.32000000000001,890,13 -2012,7,11,8,30,488,96,743,3.2,26,58.25,890,12 -2012,7,11,9,30,678,115,811,3.3000000000000003,28,46.02,890,12 -2012,7,11,10,30,833,133,844,3.2,29,33.89,890,12 -2012,7,11,11,30,943,144,864,3.1,30,22.490000000000002,890,12 -2012,7,11,12,30,992,161,857,2.9000000000000004,31,14.18,890,12 -2012,7,11,13,30,985,161,855,2.8000000000000003,31,15.47,890,12 -2012,7,11,14,30,918,156,840,2.8000000000000003,32,24.900000000000002,890,12 -2012,7,11,15,30,413,364,59,2.9000000000000004,31,36.56,890,11 -2012,7,11,16,30,405,309,145,3.1,31,48.75,890,11 -2012,7,11,17,30,432,118,649,3.2,30,60.97,890,11 -2012,7,11,18,30,182,104,265,2.6,28,72.98,890,10 -2012,7,11,19,30,52,35,178,1.9000000000000001,26,84.55,890,11 -2012,7,11,20,30,0,0,0,1.9000000000000001,24,95.44,890,12 -2012,7,11,21,30,0,0,0,2,23,105.26,890,11 -2012,7,11,22,30,0,0,0,1.9000000000000001,23,113.52,890,11 -2012,7,11,23,30,0,0,0,1.7000000000000002,22,119.55,890,11 -2012,7,12,0,30,0,0,0,1.4000000000000001,21,122.61,890,12 -2012,7,12,1,30,0,0,0,1.2000000000000002,21,122.23,890,12 -2012,7,12,2,30,0,0,0,1.1,20,118.48,890,12 -2012,7,12,3,30,0,0,0,1,19,111.9,890,12 -2012,7,12,4,30,0,0,0,1,19,103.25,890,12 -2012,7,12,5,30,0,0,0,1.4000000000000001,20,93.16,890,12 -2012,7,12,6,30,84,50,248,2,22,82.10000000000001,890,12 -2012,7,12,7,30,272,95,528,2.1,25,70.42,890,13 -2012,7,12,8,30,479,119,685,1.8,28,58.35,890,12 -2012,7,12,9,30,671,136,772,1.2000000000000002,30,46.11,890,12 -2012,7,12,10,30,828,153,814,0.9,31,33.99,890,12 -2012,7,12,11,30,936,166,834,1.2000000000000002,32,22.61,890,11 -2012,7,12,12,30,993,164,855,1.5,33,14.33,890,11 -2012,7,12,13,30,985,165,850,1.7000000000000002,34,15.58,890,11 -2012,7,12,14,30,391,363,29,1.9000000000000001,34,24.96,890,11 -2012,7,12,15,30,800,137,825,2.1,34,36.61,890,10 -2012,7,12,16,30,634,123,776,2.3000000000000003,33,48.79,890,10 -2012,7,12,17,30,438,105,687,2.6,32,61.02,890,10 -2012,7,12,18,30,233,78,529,2.3000000000000003,30,73.03,890,10 -2012,7,12,19,30,53,33,220,2.2,27,84.62,890,11 -2012,7,12,20,30,0,0,0,2.9000000000000004,26,95.51,890,11 -2012,7,12,21,30,0,0,0,3.4000000000000004,25,105.35000000000001,890,11 -2012,7,12,22,30,0,0,0,3.4000000000000004,24,113.63,890,10 -2012,7,12,23,30,0,0,0,3.1,23,119.68,890,10 -2012,7,13,0,30,0,0,0,2.9000000000000004,22,122.76,890,10 -2012,7,13,1,30,0,0,0,2.7,22,122.38,890,10 -2012,7,13,2,30,0,0,0,2.7,22,118.62,890,11 -2012,7,13,3,30,0,0,0,2.6,21,112.04,890,11 -2012,7,13,4,30,0,0,0,2.4000000000000004,21,103.38,890,11 -2012,7,13,5,30,0,0,0,2.6,21,93.28,890,11 -2012,7,13,6,30,80,40,299,3,22,82.21000000000001,890,11 -2012,7,13,7,30,212,123,268,3.1,26,70.52,890,11 -2012,7,13,8,30,479,109,707,3,29,58.44,890,11 -2012,7,13,9,30,671,124,790,2.7,32,46.21,890,11 -2012,7,13,10,30,829,134,838,2.3000000000000003,33,34.09,890,10 -2012,7,13,11,30,940,140,866,2,35,22.72,890,11 -2012,7,13,12,30,995,138,884,1.9000000000000001,36,14.47,890,11 -2012,7,13,13,30,987,140,879,2,36,15.700000000000001,890,11 -2012,7,13,14,30,918,141,858,2.4000000000000004,37,25.03,890,11 -2012,7,13,15,30,788,156,788,2.9000000000000004,36,36.660000000000004,890,10 -2012,7,13,16,30,621,145,723,3.4000000000000004,35,48.84,890,10 -2012,7,13,17,30,299,214,176,3.9000000000000004,34,61.07,890,10 -2012,7,13,18,30,169,109,208,3.8000000000000003,32,73.09,890,10 -2012,7,13,19,30,50,34,172,3.6,30,84.68,890,11 -2012,7,13,20,30,0,0,0,4,28,95.59,890,11 -2012,7,13,21,30,0,0,0,4.3,26,105.45,890,11 -2012,7,13,22,30,0,0,0,4.4,25,113.75,890,11 -2012,7,13,23,30,0,0,0,4.3,24,119.81,890,11 -2012,7,14,0,30,0,0,0,4.1000000000000005,24,122.9,890,11 -2012,7,14,1,30,0,0,0,3.8000000000000003,23,122.54,890,11 -2012,7,14,2,30,0,0,0,3.6,23,118.77,890,11 -2012,7,14,3,30,0,0,0,3.3000000000000003,22,112.18,890,11 -2012,7,14,4,30,0,0,0,3,22,103.51,890,11 -2012,7,14,5,30,0,0,0,2.9000000000000004,22,93.39,890,11 -2012,7,14,6,30,54,47,47,2.9000000000000004,22,82.32000000000001,890,11 -2012,7,14,7,30,218,118,299,2.9000000000000004,24,70.62,890,11 -2012,7,14,8,30,386,205,346,3.2,27,58.54,890,11 -2012,7,14,9,30,388,321,98,3.3000000000000003,29,46.300000000000004,890,10 -2012,7,14,10,30,700,304,478,3.4000000000000004,31,34.19,890,9 -2012,7,14,11,30,847,342,548,3.5,33,22.84,890,10 -2012,7,14,12,30,887,381,523,3.6,34,14.63,890,10 -2012,7,14,13,30,881,377,524,3.5,35,15.82,890,11 -2012,7,14,14,30,833,399,478,3.4000000000000004,36,25.11,890,11 -2012,7,14,15,30,757,266,613,3.4000000000000004,35,36.72,890,11 -2012,7,14,16,30,617,154,704,3.5,34,48.89,890,11 -2012,7,14,17,30,420,131,597,3.6,33,61.120000000000005,890,11 -2012,7,14,18,30,206,86,411,3.1,31,73.15,890,10 -2012,7,14,19,30,25,25,0,3.1,29,84.75,890,11 -2012,7,14,20,30,0,0,0,4,28,95.68,890,11 -2012,7,14,21,30,0,0,0,4.4,27,105.55,890,11 -2012,7,14,22,30,0,0,0,4.1000000000000005,25,113.87,890,11 -2012,7,14,23,30,0,0,0,4,24,119.95,890,12 -2012,7,15,0,30,0,0,0,3.9000000000000004,24,123.06,890,12 -2012,7,15,1,30,0,0,0,3.6,23,122.69,890,12 -2012,7,15,2,30,0,0,0,3.3000000000000003,23,118.93,890,12 -2012,7,15,3,30,0,0,0,3,22,112.32000000000001,890,12 -2012,7,15,4,30,0,0,0,2.8000000000000003,22,103.64,890,12 -2012,7,15,5,30,0,0,0,2.9000000000000004,22,93.51,890,12 -2012,7,15,6,30,10,10,0,3.1,23,82.43,890,12 -2012,7,15,7,30,58,58,0,3.3000000000000003,25,70.72,890,12 -2012,7,15,8,30,155,153,3,3.6,27,58.64,890,12 -2012,7,15,9,30,81,81,0,3.5,28,46.4,890,12 -2012,7,15,10,30,206,197,10,3.3000000000000003,30,34.29,890,12 -2012,7,15,11,30,222,210,12,3,32,22.97,890,12 -2012,7,15,12,30,244,230,14,2.5,33,14.790000000000001,890,12 -2012,7,15,13,30,388,364,24,2.1,34,15.950000000000001,890,12 -2012,7,15,14,30,440,400,44,1.7000000000000002,34,25.19,890,11 -2012,7,15,15,30,279,265,17,1.7000000000000002,34,36.78,890,11 -2012,7,15,16,30,270,252,28,2,33,48.95,890,10 -2012,7,15,17,30,228,198,62,2.3000000000000003,32,61.18,890,10 -2012,7,15,18,30,135,111,82,2,30,73.22,890,10 -2012,7,15,19,30,36,30,64,1.7000000000000002,28,84.83,890,12 -2012,7,15,20,30,0,0,0,2.1,26,95.77,890,12 -2012,7,15,21,30,0,0,0,2.8000000000000003,25,105.66,890,12 -2012,7,15,22,30,0,0,0,3.1,24,114,890,12 -2012,7,15,23,30,0,0,0,3,24,120.10000000000001,890,12 -2012,7,16,0,30,0,0,0,2.9000000000000004,23,123.22,890,12 -2012,7,16,1,30,0,0,0,2.9000000000000004,22,122.86,890,12 -2012,7,16,2,30,0,0,0,3,21,119.09,890,12 -2012,7,16,3,30,0,0,0,2.8000000000000003,21,112.47,890,12 -2012,7,16,4,30,0,0,0,2.5,20,103.77,890,12 -2012,7,16,5,30,0,0,0,2.7,20,93.64,890,12 -2012,7,16,6,30,81,36,349,3.2,21,82.54,890,12 -2012,7,16,7,30,240,106,406,3.5,24,70.82000000000001,890,12 -2012,7,16,8,30,478,97,735,3.5,28,58.730000000000004,890,11 -2012,7,16,9,30,670,113,809,3.5,31,46.5,890,9 -2012,7,16,10,30,828,124,853,3.5,34,34.4,880,9 -2012,7,16,11,30,938,133,875,3.7,35,23.09,880,9 -2012,7,16,12,30,986,154,860,4.1000000000000005,36,14.950000000000001,880,9 -2012,7,16,13,30,973,169,836,4.5,36,16.09,880,9 -2012,7,16,14,30,54,54,0,4.9,36,25.28,880,9 -2012,7,16,15,30,526,398,160,5.4,35,36.85,880,9 -2012,7,16,16,30,604,171,659,5.9,33,49.01,880,10 -2012,7,16,17,30,414,135,581,6.300000000000001,32,61.25,880,10 -2012,7,16,18,30,143,111,109,6.2,30,73.29,880,11 -2012,7,16,19,30,30,29,15,5.5,28,84.91,880,11 -2012,7,16,20,30,0,0,0,4.800000000000001,26,95.86,880,12 -2012,7,16,21,30,0,0,0,4.4,25,105.77,880,12 -2012,7,16,22,30,0,0,0,4.2,24,114.13,890,12 -2012,7,16,23,30,0,0,0,4.2,23,120.25,890,12 -2012,7,17,0,30,0,0,0,4.1000000000000005,23,123.38000000000001,880,13 -2012,7,17,1,30,0,0,0,3.8000000000000003,22,123.03,880,13 -2012,7,17,2,30,0,0,0,3.4000000000000004,21,119.25,880,13 -2012,7,17,3,30,0,0,0,3.1,21,112.63,880,13 -2012,7,17,4,30,0,0,0,2.9000000000000004,20,103.91,880,13 -2012,7,17,5,30,0,0,0,3,20,93.76,880,12 -2012,7,17,6,30,75,46,219,3.8000000000000003,22,82.65,890,12 -2012,7,17,7,30,259,93,507,4.800000000000001,25,70.93,890,12 -2012,7,17,8,30,463,120,661,5,28,58.83,890,11 -2012,7,17,9,30,654,138,750,4.5,31,46.6,890,10 -2012,7,17,10,30,812,150,803,4.1000000000000005,33,34.5,890,10 -2012,7,17,11,30,923,157,834,4.2,34,23.22,880,10 -2012,7,17,12,30,986,139,876,4.5,35,15.120000000000001,880,10 -2012,7,17,13,30,980,138,876,4.6000000000000005,36,16.240000000000002,880,10 -2012,7,17,14,30,913,135,861,4.7,36,25.37,880,10 -2012,7,17,15,30,792,128,829,4.6000000000000005,36,36.92,880,10 -2012,7,17,16,30,625,118,774,4.5,35,49.08,880,10 -2012,7,17,17,30,429,102,679,4.3,34,61.32,880,9 -2012,7,17,18,30,223,78,508,3.6,32,73.37,880,9 -2012,7,17,19,30,46,32,165,3.2,29,85,880,10 -2012,7,17,20,30,0,0,0,3.9000000000000004,27,95.96000000000001,880,10 -2012,7,17,21,30,0,0,0,4.3,26,105.89,880,10 -2012,7,17,22,30,0,0,0,4.1000000000000005,25,114.27,880,11 -2012,7,17,23,30,0,0,0,4,24,120.41,890,11 -2012,7,18,0,30,0,0,0,3.9000000000000004,23,123.56,890,12 -2012,7,18,1,30,0,0,0,3.7,23,123.21000000000001,890,12 -2012,7,18,2,30,0,0,0,3.7,22,119.42,890,12 -2012,7,18,3,30,0,0,0,3.5,22,112.78,890,13 -2012,7,18,4,30,0,0,0,3.2,21,104.05,890,13 -2012,7,18,5,30,0,0,0,3.4000000000000004,21,93.89,890,14 -2012,7,18,6,30,70,50,158,4.4,23,82.77,890,14 -2012,7,18,7,30,251,105,447,5,26,71.03,890,14 -2012,7,18,8,30,453,139,609,4.5,29,58.94,890,14 -2012,7,18,9,30,644,160,704,3.8000000000000003,32,46.7,890,13 -2012,7,18,10,30,802,174,764,3.5,34,34.61,890,13 -2012,7,18,11,30,915,179,800,3.6,35,23.35,890,12 -2012,7,18,12,30,981,149,863,3.8000000000000003,36,15.290000000000001,890,12 -2012,7,18,13,30,976,147,863,3.9000000000000004,36,16.39,890,11 -2012,7,18,14,30,910,142,850,4,36,25.48,890,11 -2012,7,18,15,30,793,124,838,3.9000000000000004,36,37,890,11 -2012,7,18,16,30,628,110,791,3.8000000000000003,35,49.15,890,10 -2012,7,18,17,30,433,93,710,3.7,34,61.39,890,10 -2012,7,18,18,30,227,69,556,2.9000000000000004,32,73.45,890,10 -2012,7,18,19,30,48,29,217,2.3000000000000003,29,85.09,890,10 -2012,7,18,20,30,0,0,0,3,28,96.07000000000001,890,10 -2012,7,18,21,30,0,0,0,3.8000000000000003,27,106.02,890,10 -2012,7,18,22,30,0,0,0,4.1000000000000005,26,114.41,890,10 -2012,7,18,23,30,0,0,0,4,25,120.57000000000001,890,10 -2012,7,19,0,30,0,0,0,3.9000000000000004,24,123.74000000000001,890,10 -2012,7,19,1,30,0,0,0,3.7,23,123.39,890,11 -2012,7,19,2,30,0,0,0,3.6,23,119.59,890,11 -2012,7,19,3,30,0,0,0,3.6,22,112.94,890,11 -2012,7,19,4,30,0,0,0,3.5,21,104.2,890,11 -2012,7,19,5,30,0,0,0,3.6,21,94.02,890,12 -2012,7,19,6,30,75,43,259,3.8000000000000003,23,82.89,890,12 -2012,7,19,7,30,265,82,566,3.7,27,71.14,890,13 -2012,7,19,8,30,475,103,721,3,30,59.04,890,13 -2012,7,19,9,30,670,116,809,2.2,33,46.800000000000004,890,11 -2012,7,19,10,30,831,125,859,2.1,34,34.72,890,10 -2012,7,19,11,30,944,131,886,2.4000000000000004,35,23.490000000000002,890,10 -2012,7,19,12,30,1000,131,901,2.7,36,15.47,890,9 -2012,7,19,13,30,993,130,899,3,37,16.55,890,9 -2012,7,19,14,30,925,126,885,3.3000000000000003,37,25.580000000000002,890,9 -2012,7,19,15,30,805,111,870,3.4000000000000004,37,37.09,890,9 -2012,7,19,16,30,638,100,823,3.5,36,49.230000000000004,890,9 -2012,7,19,17,30,439,85,742,3.4000000000000004,35,61.47,890,9 -2012,7,19,18,30,231,64,590,2.7,32,73.53,890,9 -2012,7,19,19,30,49,28,250,2.2,29,85.19,890,10 -2012,7,19,20,30,0,0,0,2.8000000000000003,28,96.18,890,10 -2012,7,19,21,30,0,0,0,3.4000000000000004,27,106.15,890,10 -2012,7,19,22,30,0,0,0,3.6,26,114.56,890,10 -2012,7,19,23,30,0,0,0,3.7,25,120.74000000000001,890,11 -2012,7,20,0,30,0,0,0,3.6,25,123.92,890,11 -2012,7,20,1,30,0,0,0,3.5,24,123.58,890,12 -2012,7,20,2,30,0,0,0,3.4000000000000004,24,119.77,890,12 -2012,7,20,3,30,0,0,0,3.3000000000000003,23,113.10000000000001,890,12 -2012,7,20,4,30,0,0,0,3.3000000000000003,22,104.34,890,12 -2012,7,20,5,30,0,0,0,3.6,22,94.15,890,13 -2012,7,20,6,30,80,34,376,4,24,83,890,13 -2012,7,20,7,30,274,61,662,4,27,71.25,890,13 -2012,7,20,8,30,439,131,600,3.3000000000000003,30,59.14,890,13 -2012,7,20,9,30,678,89,863,2.4000000000000004,33,46.9,890,13 -2012,7,20,10,30,837,97,902,2.1,34,34.84,890,12 -2012,7,20,11,30,948,102,923,2.4000000000000004,35,23.63,890,12 -2012,7,20,12,30,1002,104,932,2.7,36,15.66,890,11 -2012,7,20,13,30,995,105,928,3,37,16.71,890,11 -2012,7,20,14,30,927,104,913,3.1,37,25.69,890,11 -2012,7,20,15,30,803,101,882,3.1,37,37.18,890,10 -2012,7,20,16,30,636,91,835,3,36,49.32,890,10 -2012,7,20,17,30,439,78,757,2.9000000000000004,35,61.56,890,10 -2012,7,20,18,30,231,59,611,2,33,73.63,890,10 -2012,7,20,19,30,48,26,274,1.3,30,85.29,890,11 -2012,7,20,20,30,0,0,0,1.4000000000000001,28,96.3,890,11 -2012,7,20,21,30,0,0,0,1.6,27,106.28,890,10 -2012,7,20,22,30,0,0,0,1.9000000000000001,27,114.72,890,10 -2012,7,20,23,30,0,0,0,2.2,26,120.92,890,10 -2012,7,21,0,30,0,0,0,2.4000000000000004,25,124.11,890,11 -2012,7,21,1,30,0,0,0,2.5,25,123.77,890,11 -2012,7,21,2,30,0,0,0,2.4000000000000004,24,119.95,890,11 -2012,7,21,3,30,0,0,0,2.3000000000000003,23,113.27,890,11 -2012,7,21,4,30,0,0,0,2,23,104.49000000000001,890,12 -2012,7,21,5,30,0,0,0,2.3000000000000003,23,94.28,890,12 -2012,7,21,6,30,79,34,375,2.7,25,83.12,890,13 -2012,7,21,7,30,275,62,666,2.1,29,71.36,890,13 -2012,7,21,8,30,486,78,798,1.1,32,59.25,890,11 -2012,7,21,9,30,682,90,868,1.1,35,47.01,890,9 -2012,7,21,10,30,844,99,908,1.6,36,34.95,890,8 -2012,7,21,11,30,956,105,929,2.1,37,23.77,890,8 -2012,7,21,12,30,1010,111,935,2.7,38,15.85,890,7 -2012,7,21,13,30,1002,113,929,3.2,39,16.88,890,7 -2012,7,21,14,30,932,112,911,3.4000000000000004,39,25.810000000000002,890,7 -2012,7,21,15,30,575,388,234,3.5,38,37.27,890,7 -2012,7,21,16,30,525,255,414,3.4000000000000004,37,49.4,890,7 -2012,7,21,17,30,371,161,441,3.3000000000000003,36,61.65,890,7 -2012,7,21,18,30,221,72,530,2.5,34,73.72,890,7 -2012,7,21,19,30,43,29,172,1.8,32,85.4,890,9 -2012,7,21,20,30,0,0,0,1.9000000000000001,30,96.43,890,9 -2012,7,21,21,30,0,0,0,2.1,29,106.43,890,9 -2012,7,21,22,30,0,0,0,2.3000000000000003,28,114.89,890,9 -2012,7,21,23,30,0,0,0,2.4000000000000004,27,121.10000000000001,890,9 -2012,7,22,0,30,0,0,0,2.2,26,124.31,890,9 -2012,7,22,1,30,0,0,0,1.9000000000000001,25,123.97,890,9 -2012,7,22,2,30,0,0,0,1.6,24,120.14,890,8 -2012,7,22,3,30,0,0,0,1.4000000000000001,23,113.44,890,8 -2012,7,22,4,30,0,0,0,1.2000000000000002,22,104.64,890,8 -2012,7,22,5,30,0,0,0,1.5,22,94.42,890,8 -2012,7,22,6,30,50,40,77,1.9000000000000001,24,83.25,890,8 -2012,7,22,7,30,179,126,164,2.1,27,71.48,890,8 -2012,7,22,8,30,479,84,775,2.2,31,59.36,890,8 -2012,7,22,9,30,677,95,855,2.5,34,47.12,890,7 -2012,7,22,10,30,840,102,901,2.8000000000000003,36,35.07,890,7 -2012,7,22,11,30,955,107,927,3,37,23.91,890,6 -2012,7,22,12,30,1012,109,939,3.1,38,16.04,890,6 -2012,7,22,13,30,1006,110,937,3.2,38,17.06,890,5 -2012,7,22,14,30,939,108,923,3.3000000000000003,38,25.94,890,5 -2012,7,22,15,30,815,104,894,3.5,37,37.37,890,5 -2012,7,22,16,30,645,95,845,3.7,36,49.5,890,4 -2012,7,22,17,30,443,82,763,3.8000000000000003,35,61.74,890,4 -2012,7,22,18,30,231,62,607,3.4000000000000004,33,73.82000000000001,890,5 -2012,7,22,19,30,46,26,253,3.2,31,85.52,890,6 -2012,7,22,20,30,0,0,0,3.6,29,96.55,890,7 -2012,7,22,21,30,0,0,0,3.9000000000000004,28,106.57000000000001,890,9 -2012,7,22,22,30,0,0,0,3.9000000000000004,27,115.05,890,10 -2012,7,22,23,30,0,0,0,3.7,26,121.29,890,11 -2012,7,23,0,30,0,0,0,3.3000000000000003,25,124.51,890,12 -2012,7,23,1,30,0,0,0,2.7,24,124.17,890,13 -2012,7,23,2,30,0,0,0,2.1,23,120.33,890,14 -2012,7,23,3,30,0,0,0,1.4000000000000001,23,113.61,890,14 -2012,7,23,4,30,0,0,0,1,22,104.8,890,15 -2012,7,23,5,30,0,0,0,1.3,22,94.55,890,15 -2012,7,23,6,30,32,32,0,1.8,24,83.37,890,15 -2012,7,23,7,30,179,122,177,1.8,28,71.59,890,15 -2012,7,23,8,30,467,93,734,1.6,31,59.46,890,14 -2012,7,23,9,30,659,109,810,1.5,34,47.22,890,13 -2012,7,23,10,30,819,120,854,1.5,36,35.19,890,13 -2012,7,23,11,30,930,129,877,1.7000000000000002,37,24.060000000000002,890,12 -2012,7,23,12,30,983,139,879,2,38,16.240000000000002,890,12 -2012,7,23,13,30,975,142,871,2.3000000000000003,39,17.25,890,11 -2012,7,23,14,30,905,142,849,2.7,39,26.07,890,11 -2012,7,23,15,30,782,134,817,3.2,38,37.480000000000004,890,10 -2012,7,23,16,30,612,127,748,3.9000000000000004,37,49.6,880,10 -2012,7,23,17,30,413,111,639,4.6000000000000005,35,61.84,890,10 -2012,7,23,18,30,207,85,441,5.6000000000000005,34,73.93,890,11 -2012,7,23,19,30,37,29,105,6.300000000000001,32,85.63,890,12 -2012,7,23,20,30,0,0,0,6.5,30,96.69,890,12 -2012,7,23,21,30,0,0,0,6.1000000000000005,28,106.73,890,13 -2012,7,23,22,30,0,0,0,5.7,27,115.23,890,13 -2012,7,23,23,30,0,0,0,5.5,27,121.49000000000001,890,14 -2012,7,24,0,30,0,0,0,5.2,26,124.72,890,14 -2012,7,24,1,30,0,0,0,5,25,124.38000000000001,890,14 -2012,7,24,2,30,0,0,0,4.9,25,120.53,890,14 -2012,7,24,3,30,0,0,0,4.7,24,113.79,890,14 -2012,7,24,4,30,0,0,0,4.800000000000001,23,104.95,890,15 -2012,7,24,5,30,0,0,0,5,22,94.69,890,15 -2012,7,24,6,30,40,37,27,5.1000000000000005,22,83.49,890,15 -2012,7,24,7,30,172,123,158,5.1000000000000005,23,71.7,890,15 -2012,7,24,8,30,301,222,155,5,25,59.57,890,15 -2012,7,24,9,30,465,317,217,5.5,27,47.33,890,14 -2012,7,24,10,30,808,124,838,6,29,35.31,890,14 -2012,7,24,11,30,920,132,863,6.2,31,24.21,890,13 -2012,7,24,12,30,831,450,397,6.1000000000000005,32,16.44,890,13 -2012,7,24,13,30,807,439,385,6,34,17.44,880,12 -2012,7,24,14,30,900,137,850,5.9,35,26.21,880,12 -2012,7,24,15,30,775,135,808,5.9,35,37.59,880,11 -2012,7,24,16,30,604,133,728,5.800000000000001,34,49.7,880,11 -2012,7,24,17,30,405,121,605,5.5,33,61.95,880,11 -2012,7,24,18,30,202,90,410,5,32,74.04,880,11 -2012,7,24,19,30,35,28,85,4.9,31,85.76,880,11 -2012,7,24,20,30,0,0,0,5.300000000000001,29,96.83,880,12 -2012,7,24,21,30,0,0,0,5.5,28,106.89,880,12 -2012,7,24,22,30,0,0,0,5.300000000000001,28,115.41,880,12 -2012,7,24,23,30,0,0,0,5.1000000000000005,27,121.69,880,12 -2012,7,25,0,30,0,0,0,5.1000000000000005,26,124.93,880,12 -2012,7,25,1,30,0,0,0,5,25,124.59,880,12 -2012,7,25,2,30,0,0,0,4.9,25,120.73,880,12 -2012,7,25,3,30,0,0,0,5,24,113.97,880,12 -2012,7,25,4,30,0,0,0,4.9,24,105.11,880,12 -2012,7,25,5,30,0,0,0,5,24,94.83,880,12 -2012,7,25,6,30,54,37,155,5.6000000000000005,25,83.62,880,12 -2012,7,25,7,30,193,115,248,6.2,28,71.82000000000001,880,12 -2012,7,25,8,30,222,200,43,6.1000000000000005,31,59.68,880,12 -2012,7,25,9,30,412,320,135,5.800000000000001,34,47.44,880,12 -2012,7,25,10,30,505,388,143,5.4,35,35.43,880,12 -2012,7,25,11,30,315,298,18,5.2,36,24.36,880,12 -2012,7,25,12,30,571,483,91,5.1000000000000005,37,16.65,880,12 -2012,7,25,13,30,974,111,906,4.9,38,17.63,880,12 -2012,7,25,14,30,906,111,887,4.7,38,26.35,880,12 -2012,7,25,15,30,781,113,844,4.5,37,37.71,880,12 -2012,7,25,16,30,99,99,0,4.2,37,49.81,880,11 -2012,7,25,17,30,50,50,0,3.8000000000000003,36,62.06,880,11 -2012,7,25,18,30,177,91,314,2.8000000000000003,33,74.16,880,11 -2012,7,25,19,30,31,25,92,2.2,30,85.89,880,12 -2012,7,25,20,30,0,0,0,2.2,28,96.97,880,13 -2012,7,25,21,30,0,0,0,2,27,107.05,880,14 -2012,7,25,22,30,0,0,0,1.5,26,115.60000000000001,880,14 -2012,7,25,23,30,0,0,0,0.9,25,121.9,880,14 -2012,7,26,0,30,0,0,0,0.8,24,125.15,880,15 -2012,7,26,1,30,0,0,0,1.3,24,124.81,880,15 -2012,7,26,2,30,0,0,0,1.7000000000000002,23,120.93,880,15 -2012,7,26,3,30,0,0,0,1.5,23,114.15,880,15 -2012,7,26,4,30,0,0,0,1.3,22,105.27,880,16 -2012,7,26,5,30,0,0,0,1.7000000000000002,22,94.97,880,16 -2012,7,26,6,30,66,32,308,2.3000000000000003,24,83.75,880,16 -2012,7,26,7,30,225,93,425,2.2,26,71.94,890,15 -2012,7,26,8,30,397,171,449,2.1,29,59.79,890,14 -2012,7,26,9,30,597,218,560,2.5,32,47.56,890,14 -2012,7,26,10,30,812,107,866,3,33,35.550000000000004,890,14 -2012,7,26,11,30,925,113,893,3.3000000000000003,35,24.52,890,13 -2012,7,26,12,30,983,114,907,3.6,36,16.86,890,13 -2012,7,26,13,30,977,117,904,3.8000000000000003,36,17.84,890,13 -2012,7,26,14,30,911,117,886,3.9000000000000004,36,26.5,880,13 -2012,7,26,15,30,356,327,36,4,35,37.83,880,13 -2012,7,26,16,30,255,239,24,4.1000000000000005,34,49.92,880,12 -2012,7,26,17,30,199,181,38,4,33,62.17,880,12 -2012,7,26,18,30,143,103,149,3.4000000000000004,31,74.28,890,12 -2012,7,26,19,30,25,23,29,3,29,86.02,890,13 -2012,7,26,20,30,0,0,0,3,27,97.12,890,14 -2012,7,26,21,30,0,0,0,3.1,26,107.22,890,14 -2012,7,26,22,30,0,0,0,3,25,115.79,890,15 -2012,7,26,23,30,0,0,0,2.7,24,122.11,890,16 -2012,7,27,0,30,0,0,0,2.2,23,125.38000000000001,890,16 -2012,7,27,1,30,0,0,0,1.7000000000000002,22,125.03,890,17 -2012,7,27,2,30,0,0,0,1.3,22,121.14,890,17 -2012,7,27,3,30,0,0,0,1.1,21,114.34,890,17 -2012,7,27,4,30,0,0,0,1,21,105.44,890,17 -2012,7,27,5,30,0,0,0,1.3,21,95.12,890,17 -2012,7,27,6,30,66,33,310,1.6,23,83.88,890,17 -2012,7,27,7,30,257,66,619,1.3,27,72.05,890,16 -2012,7,27,8,30,467,85,761,1.8,30,59.9,890,15 -2012,7,27,9,30,663,98,838,2.7,32,47.67,890,14 -2012,7,27,10,30,824,107,882,3.2,33,35.68,890,13 -2012,7,27,11,30,935,112,905,3.6,34,24.68,890,13 -2012,7,27,12,30,990,108,923,3.9000000000000004,35,17.080000000000002,890,13 -2012,7,27,13,30,981,110,915,4.1000000000000005,36,18.05,890,13 -2012,7,27,14,30,909,113,890,4.3,35,26.66,890,13 -2012,7,27,15,30,780,119,838,4.5,34,37.96,890,13 -2012,7,27,16,30,612,106,788,4.6000000000000005,33,50.04,890,13 -2012,7,27,17,30,416,87,707,4.4,32,62.29,890,14 -2012,7,27,18,30,211,61,558,3.6,31,74.41,890,14 -2012,7,27,19,30,36,22,215,2.7,29,86.16,890,14 -2012,7,27,20,30,0,0,0,2.6,27,97.28,890,14 -2012,7,27,21,30,0,0,0,2.9000000000000004,26,107.39,890,14 -2012,7,27,22,30,0,0,0,3.1,25,115.98,890,14 -2012,7,27,23,30,0,0,0,3.1,25,122.33,890,14 -2012,7,28,0,30,0,0,0,3,24,125.61,890,15 -2012,7,28,1,30,0,0,0,2.8000000000000003,23,125.26,890,15 -2012,7,28,2,30,0,0,0,2.5,23,121.35000000000001,890,15 -2012,7,28,3,30,0,0,0,2.2,22,114.53,890,15 -2012,7,28,4,30,0,0,0,1.9000000000000001,22,105.60000000000001,890,15 -2012,7,28,5,30,0,0,0,2.1,22,95.26,890,15 -2012,7,28,6,30,58,38,196,2.7,24,84.01,890,15 -2012,7,28,7,30,241,83,517,3,27,72.17,890,16 -2012,7,28,8,30,448,109,678,3.1,29,60.02,890,16 -2012,7,28,9,30,643,125,771,3.3000000000000003,31,47.78,890,15 -2012,7,28,10,30,805,135,826,3.7,33,35.81,890,14 -2012,7,28,11,30,920,142,857,4.1000000000000005,34,24.84,890,13 -2012,7,28,12,30,983,124,899,4.5,35,17.3,890,13 -2012,7,28,13,30,976,124,897,4.800000000000001,36,18.26,890,12 -2012,7,28,14,30,907,120,882,5,36,26.82,890,12 -2012,7,28,15,30,785,108,859,5.1000000000000005,36,38.1,890,12 -2012,7,28,16,30,617,97,811,5.1000000000000005,35,50.17,890,13 -2012,7,28,17,30,418,82,725,4.9,34,62.42,890,13 -2012,7,28,18,30,211,61,561,4,32,74.54,890,12 -2012,7,28,19,30,35,23,185,3.2,30,86.3,890,12 -2012,7,28,20,30,0,0,0,3.3000000000000003,28,97.44,890,12 -2012,7,28,21,30,0,0,0,3.6,27,107.57000000000001,890,11 -2012,7,28,22,30,0,0,0,3.7,26,116.19,890,11 -2012,7,28,23,30,0,0,0,3.6,25,122.55,890,10 -2012,7,29,0,30,0,0,0,3.4000000000000004,24,125.84,890,10 -2012,7,29,1,30,0,0,0,3.2,24,125.49000000000001,890,10 -2012,7,29,2,30,0,0,0,3.3000000000000003,23,121.57000000000001,890,10 -2012,7,29,3,30,0,0,0,3.4000000000000004,22,114.72,890,9 -2012,7,29,4,30,0,0,0,3.5,22,105.77,890,9 -2012,7,29,5,30,0,0,0,3.7,22,95.41,890,10 -2012,7,29,6,30,62,34,270,4.2,24,84.14,890,10 -2012,7,29,7,30,253,69,607,5.1000000000000005,27,72.29,890,12 -2012,7,29,8,30,467,87,762,5.5,30,60.13,890,14 -2012,7,29,9,30,666,98,846,5,33,47.9,890,13 -2012,7,29,10,30,829,106,893,4.7,35,35.94,890,12 -2012,7,29,11,30,944,111,918,4.7,36,25.01,890,10 -2012,7,29,12,30,1002,107,937,4.7,37,17.53,890,9 -2012,7,29,13,30,995,108,935,4.800000000000001,38,18.490000000000002,890,9 -2012,7,29,14,30,926,105,920,4.800000000000001,38,26.990000000000002,890,8 -2012,7,29,15,30,801,97,896,4.9,38,38.24,890,8 -2012,7,29,16,30,631,88,849,4.800000000000001,37,50.300000000000004,890,8 -2012,7,29,17,30,428,75,766,4.6000000000000005,36,62.550000000000004,890,8 -2012,7,29,18,30,216,56,605,4,33,74.68,890,8 -2012,7,29,19,30,35,22,213,3.6,31,86.45,890,9 -2012,7,29,20,30,0,0,0,4,29,97.60000000000001,890,9 -2012,7,29,21,30,0,0,0,4.2,28,107.76,890,10 -2012,7,29,22,30,0,0,0,4.2,27,116.4,890,10 -2012,7,29,23,30,0,0,0,4.1000000000000005,26,122.78,890,11 -2012,7,30,0,30,0,0,0,4,25,126.08,890,11 -2012,7,30,1,30,0,0,0,3.8000000000000003,25,125.73,890,11 -2012,7,30,2,30,0,0,0,3.6,24,121.79,890,11 -2012,7,30,3,30,0,0,0,3.5,23,114.91,890,11 -2012,7,30,4,30,0,0,0,3.3000000000000003,22,105.94,890,11 -2012,7,30,5,30,0,0,0,3.4000000000000004,22,95.56,890,11 -2012,7,30,6,30,60,32,282,3.6,24,84.27,890,11 -2012,7,30,7,30,250,69,600,3.9000000000000004,27,72.41,890,11 -2012,7,30,8,30,461,90,747,4.1000000000000005,31,60.25,890,10 -2012,7,30,9,30,659,104,828,3.5,34,48.02,890,10 -2012,7,30,10,30,823,113,877,2.7,36,36.07,890,9 -2012,7,30,11,30,938,118,905,2.3000000000000003,37,25.18,890,9 -2012,7,30,12,30,996,117,922,2.4000000000000004,38,17.76,890,8 -2012,7,30,13,30,990,117,921,2.7,39,18.71,890,8 -2012,7,30,14,30,922,114,908,2.8000000000000003,39,27.17,890,8 -2012,7,30,15,30,799,103,887,2.9000000000000004,39,38.38,890,7 -2012,7,30,16,30,628,93,839,3,38,50.43,890,6 -2012,7,30,17,30,426,80,753,2.9000000000000004,37,62.68,880,6 -2012,7,30,18,30,213,60,586,2.3000000000000003,34,74.82000000000001,890,5 -2012,7,30,19,30,33,22,185,2,31,86.60000000000001,890,6 -2012,7,30,20,30,0,0,0,2.8000000000000003,29,97.77,890,6 -2012,7,30,21,30,0,0,0,3.6,28,107.95,890,5 -2012,7,30,22,30,0,0,0,4,27,116.61,890,5 -2012,7,30,23,30,0,0,0,4.1000000000000005,26,123.02,890,5 -2012,7,31,0,30,0,0,0,4,25,126.33,890,6 -2012,7,31,1,30,0,0,0,3.7,24,125.97,890,6 -2012,7,31,2,30,0,0,0,3.4000000000000004,24,122.01,890,7 -2012,7,31,3,30,0,0,0,3.2,23,115.11,890,8 -2012,7,31,4,30,0,0,0,3.2,23,106.11,890,8 -2012,7,31,5,30,0,0,0,3.6,23,95.71000000000001,890,8 -2012,7,31,6,30,57,34,231,4.1000000000000005,25,84.4,890,9 -2012,7,31,7,30,245,73,572,4.4,29,72.53,890,10 -2012,7,31,8,30,456,93,733,4.4,32,60.36,890,10 -2012,7,31,9,30,655,105,823,3.8000000000000003,34,48.14,890,10 -2012,7,31,10,30,819,112,876,2.8000000000000003,36,36.2,890,9 -2012,7,31,11,30,934,116,904,1.5,37,25.35,890,9 -2012,7,31,12,30,993,110,927,0.6000000000000001,38,17.990000000000002,890,9 -2012,7,31,13,30,986,111,925,0.8,39,18.95,890,9 -2012,7,31,14,30,918,108,911,1.6,40,27.35,890,9 -2012,7,31,15,30,794,101,885,2.1,39,38.53,890,9 -2012,7,31,16,30,624,92,838,2.5,38,50.57,890,8 -2012,7,31,17,30,423,78,754,2.8000000000000003,37,62.82,890,7 -2012,7,31,18,30,211,58,591,2.2,35,74.97,890,7 -2012,7,31,19,30,31,20,195,1.9000000000000001,32,86.76,890,8 -2012,7,31,20,30,0,0,0,2.8000000000000003,30,97.95,890,7 -2012,7,31,21,30,0,0,0,3.4000000000000004,29,108.15,890,7 -2012,7,31,22,30,0,0,0,3.5,28,116.83,890,8 -2012,7,31,23,30,0,0,0,3.4000000000000004,27,123.26,890,8 -2012,8,1,0,30,0,0,0,3.2,26,126.58,890,8 -2012,8,1,1,30,0,0,0,3,26,126.22,890,8 -2012,8,1,2,30,0,0,0,2.8000000000000003,25,122.23,890,8 -2012,8,1,3,30,0,0,0,2.8000000000000003,24,115.31,890,8 -2012,8,1,4,30,0,0,0,2.7,23,106.28,890,9 -2012,8,1,5,30,0,0,0,3,23,95.86,890,9 -2012,8,1,6,30,60,29,327,3.4000000000000004,25,84.53,890,10 -2012,8,1,7,30,254,59,654,3.4000000000000004,28,72.65,890,10 -2012,8,1,8,30,468,76,795,2.9000000000000004,33,60.480000000000004,890,10 -2012,8,1,9,30,667,87,870,2.3000000000000003,36,48.25,890,8 -2012,8,1,10,30,831,95,914,2.3000000000000003,38,36.34,890,7 -2012,8,1,11,30,947,101,937,2.8000000000000003,39,25.52,890,7 -2012,8,1,12,30,1002,106,943,3.4000000000000004,40,18.23,890,6 -2012,8,1,13,30,995,107,940,3.8000000000000003,41,19.19,890,6 -2012,8,1,14,30,925,105,924,4,41,27.54,880,6 -2012,8,1,15,30,797,104,887,4,40,38.69,880,6 -2012,8,1,16,30,623,96,831,3.9000000000000004,39,50.72,880,6 -2012,8,1,17,30,419,84,737,3.6,38,62.97,880,6 -2012,8,1,18,30,206,62,559,2.6,35,75.12,880,6 -2012,8,1,19,30,28,20,151,2,32,86.93,880,7 -2012,8,1,20,30,0,0,0,2.7,31,98.13,880,7 -2012,8,1,21,30,0,0,0,3.5,30,108.35000000000001,880,8 -2012,8,1,22,30,0,0,0,4.1000000000000005,29,117.05,880,8 -2012,8,1,23,30,0,0,0,4.4,28,123.5,880,8 -2012,8,2,0,30,0,0,0,4.6000000000000005,27,126.84,880,9 -2012,8,2,1,30,0,0,0,4.800000000000001,27,126.47,880,9 -2012,8,2,2,30,0,0,0,4.800000000000001,26,122.46000000000001,880,9 -2012,8,2,3,30,0,0,0,4.9,26,115.51,880,9 -2012,8,2,4,30,0,0,0,4.800000000000001,25,106.46000000000001,880,9 -2012,8,2,5,30,0,0,0,4.7,25,96.01,880,9 -2012,8,2,6,30,55,30,268,4.5,26,84.67,880,9 -2012,8,2,7,30,244,63,610,4.2,28,72.78,880,10 -2012,8,2,8,30,455,80,764,3.8000000000000003,31,60.6,890,11 -2012,8,2,9,30,652,91,844,3.4000000000000004,33,48.38,890,12 -2012,8,2,10,30,814,98,889,3.1,36,36.47,880,12 -2012,8,2,11,30,928,103,915,2.8000000000000003,38,25.7,880,12 -2012,8,2,12,30,985,102,931,2.5,39,18.48,880,11 -2012,8,2,13,30,978,101,930,2,40,19.43,880,11 -2012,8,2,14,30,910,98,917,1.7000000000000002,41,27.73,880,11 -2012,8,2,15,30,786,91,892,1.4000000000000001,40,38.85,880,10 -2012,8,2,16,30,616,83,844,0.9,39,50.870000000000005,880,10 -2012,8,2,17,30,415,71,760,0.4,38,63.120000000000005,880,9 -2012,8,2,18,30,205,53,596,0.30000000000000004,36,75.27,880,9 -2012,8,2,19,30,28,18,201,0.7000000000000001,34,87.09,880,11 -2012,8,2,20,30,0,0,0,1.1,32,98.31,880,10 -2012,8,2,21,30,0,0,0,1.6,31,108.55,880,10 -2012,8,2,22,30,0,0,0,1.9000000000000001,29,117.28,880,10 -2012,8,2,23,30,0,0,0,1.9000000000000001,28,123.75,880,10 -2012,8,3,0,30,0,0,0,1.7000000000000002,28,127.10000000000001,880,10 -2012,8,3,1,30,0,0,0,1.4000000000000001,27,126.72,880,10 -2012,8,3,2,30,0,0,0,1.2000000000000002,26,122.7,880,11 -2012,8,3,3,30,0,0,0,1,25,115.71000000000001,880,12 -2012,8,3,4,30,0,0,0,0.8,24,106.63,880,12 -2012,8,3,5,30,0,0,0,0.8,24,96.16,880,13 -2012,8,3,6,30,51,31,220,1.6,25,84.8,880,13 -2012,8,3,7,30,236,71,562,2.9000000000000004,28,72.9,880,13 -2012,8,3,8,30,445,92,722,3.8000000000000003,32,60.72,880,12 -2012,8,3,9,30,641,106,807,4,35,48.5,880,11 -2012,8,3,10,30,802,117,854,3.8000000000000003,38,36.61,880,11 -2012,8,3,11,30,915,125,878,3.5,39,25.88,880,10 -2012,8,3,12,30,975,118,904,3.7,40,18.73,880,10 -2012,8,3,13,30,968,120,900,4.2,41,19.69,880,9 -2012,8,3,14,30,898,122,877,4.7,41,27.93,880,9 -2012,8,3,15,30,773,119,841,5.1000000000000005,41,39.02,880,8 -2012,8,3,16,30,602,112,778,5.300000000000001,40,51.03,880,7 -2012,8,3,17,30,402,95,683,5.300000000000001,39,63.27,880,6 -2012,8,3,18,30,181,68,447,4.7,36,75.44,880,5 -2012,8,3,19,30,23,23,0,4.1000000000000005,34,87.27,880,5 -2012,8,3,20,30,0,0,0,3.8000000000000003,32,98.5,880,5 -2012,8,3,21,30,0,0,0,3.6,30,108.77,880,4 -2012,8,3,22,30,0,0,0,3.2,29,117.52,880,5 -2012,8,3,23,30,0,0,0,2.8000000000000003,28,124.01,880,6 -2012,8,4,0,30,0,0,0,2.3000000000000003,27,127.37,880,8 -2012,8,4,1,30,0,0,0,1.8,26,126.98,880,9 -2012,8,4,2,30,0,0,0,2,26,122.93,880,11 -2012,8,4,3,30,0,0,0,2.5,25,115.92,880,12 -2012,8,4,4,30,0,0,0,2.9000000000000004,24,106.81,880,12 -2012,8,4,5,30,0,0,0,3.3000000000000003,24,96.32000000000001,880,13 -2012,8,4,6,30,51,30,242,4.1000000000000005,26,84.94,890,13 -2012,8,4,7,30,239,68,585,4.9,29,73.03,890,12 -2012,8,4,8,30,450,91,735,4.9,32,60.83,890,12 -2012,8,4,9,30,645,109,810,4,34,48.620000000000005,890,11 -2012,8,4,10,30,805,124,850,2.8000000000000003,36,36.75,890,11 -2012,8,4,11,30,916,136,868,1.7000000000000002,37,26.07,890,11 -2012,8,4,12,30,972,136,884,1,38,18.98,890,10 -2012,8,4,13,30,961,142,871,1,38,19.94,890,10 -2012,8,4,14,30,887,151,834,1.5,38,28.14,890,10 -2012,8,4,15,30,755,158,769,2.1,37,39.2,890,10 -2012,8,4,16,30,584,143,703,2.8000000000000003,36,51.19,890,11 -2012,8,4,17,30,386,115,606,3.6,34,63.43,890,11 -2012,8,4,18,30,183,77,423,4.3,31,75.60000000000001,890,12 -2012,8,4,19,30,20,20,0,4.6000000000000005,29,87.45,890,13 -2012,8,4,20,30,0,0,0,4.800000000000001,27,98.7,890,14 -2012,8,4,21,30,0,0,0,4.800000000000001,25,108.98,890,14 -2012,8,4,22,30,0,0,0,5,24,117.76,890,14 -2012,8,4,23,30,0,0,0,5.2,23,124.27,890,14 -2012,8,5,0,30,0,0,0,5.2,23,127.64,890,13 -2012,8,5,1,30,0,0,0,5,22,127.24000000000001,890,13 -2012,8,5,2,30,0,0,0,4.7,22,123.17,890,13 -2012,8,5,3,30,0,0,0,4.3,21,116.13,890,12 -2012,8,5,4,30,0,0,0,4,20,106.99000000000001,890,13 -2012,8,5,5,30,0,0,0,4,20,96.47,890,13 -2012,8,5,6,30,46,31,173,4.2,20,85.08,890,13 -2012,8,5,7,30,227,77,519,4.4,22,73.15,890,13 -2012,8,5,8,30,436,100,690,4.2,24,60.95,890,13 -2012,8,5,9,30,632,115,784,3.8000000000000003,27,48.75,890,13 -2012,8,5,10,30,795,123,839,3.4000000000000004,30,36.9,890,12 -2012,8,5,11,30,908,129,869,3.1,32,26.25,890,12 -2012,8,5,12,30,968,120,898,3,34,19.240000000000002,890,12 -2012,8,5,13,30,961,121,894,3.2,35,20.21,890,12 -2012,8,5,14,30,891,121,875,3.4000000000000004,35,28.35,890,12 -2012,8,5,15,30,766,115,842,3.6,35,39.38,890,11 -2012,8,5,16,30,138,138,0,3.6,34,51.36,890,11 -2012,8,5,17,30,393,92,676,3.5,33,63.6,890,11 -2012,8,5,18,30,185,66,486,3.1,31,75.77,890,11 -2012,8,5,19,30,20,20,0,2.9000000000000004,30,87.63,890,12 -2012,8,5,20,30,0,0,0,3.1,29,98.9,890,12 -2012,8,5,21,30,0,0,0,3.5,28,109.2,890,12 -2012,8,5,22,30,0,0,0,3.7,27,118,890,13 -2012,8,5,23,30,0,0,0,3.7,26,124.54,890,13 -2012,8,6,0,30,0,0,0,3.6,26,127.91,890,13 -2012,8,6,1,30,0,0,0,3.5,26,127.51,890,13 -2012,8,6,2,30,0,0,0,3.4000000000000004,25,123.41,890,13 -2012,8,6,3,30,0,0,0,3.1,25,116.34,890,14 -2012,8,6,4,30,0,0,0,2.8000000000000003,24,107.17,890,14 -2012,8,6,5,30,0,0,0,2.7,24,96.63,890,14 -2012,8,6,6,30,10,10,0,3,25,85.21000000000001,890,14 -2012,8,6,7,30,55,55,0,3.6,27,73.28,890,14 -2012,8,6,8,30,243,204,80,4,30,61.08,890,14 -2012,8,6,9,30,425,302,187,4.1000000000000005,33,48.870000000000005,890,14 -2012,8,6,10,30,784,132,816,4,35,37.04,890,13 -2012,8,6,11,30,897,141,843,4,36,26.44,890,13 -2012,8,6,12,30,951,150,849,4.1000000000000005,37,19.5,890,13 -2012,8,6,13,30,330,312,19,4.1000000000000005,37,20.47,890,13 -2012,8,6,14,30,250,237,14,4.1000000000000005,37,28.57,890,13 -2012,8,6,15,30,77,77,0,4,37,39.56,890,13 -2012,8,6,16,30,452,275,285,3.9000000000000004,36,51.53,890,12 -2012,8,6,17,30,355,137,491,3.5,35,63.77,890,12 -2012,8,6,18,30,185,60,512,2.4000000000000004,33,75.95,890,12 -2012,8,6,19,30,19,15,102,1.9000000000000001,30,87.82000000000001,890,13 -2012,8,6,20,30,0,0,0,2.6,29,99.10000000000001,890,12 -2012,8,6,21,30,0,0,0,3.1,28,109.43,890,12 -2012,8,6,22,30,0,0,0,3.2,27,118.25,890,11 -2012,8,6,23,30,0,0,0,3.2,27,124.81,890,11 -2012,8,7,0,30,0,0,0,3.2,26,128.19,890,10 -2012,8,7,1,30,0,0,0,3.4000000000000004,26,127.78,890,10 -2012,8,7,2,30,0,0,0,3.5,25,123.66,890,10 -2012,8,7,3,30,0,0,0,3.5,24,116.55,890,9 -2012,8,7,4,30,0,0,0,3.4000000000000004,24,107.35000000000001,890,10 -2012,8,7,5,30,0,0,0,3.3000000000000003,24,96.78,890,10 -2012,8,7,6,30,46,27,234,3.4000000000000004,24,85.35000000000001,890,10 -2012,8,7,7,30,231,66,578,3.6,27,73.4,890,10 -2012,8,7,8,30,440,89,729,3.6,30,61.2,890,11 -2012,8,7,9,30,636,104,810,3.1,32,49,890,11 -2012,8,7,10,30,797,115,856,2.1,34,37.19,890,10 -2012,8,7,11,30,911,121,883,1.7000000000000002,35,26.64,890,10 -2012,8,7,12,30,969,114,908,2.1,36,19.76,890,10 -2012,8,7,13,30,961,114,905,2.7,37,20.75,890,10 -2012,8,7,14,30,299,280,20,3.3000000000000003,38,28.79,890,10 -2012,8,7,15,30,585,362,290,3.5,38,39.75,890,10 -2012,8,7,16,30,253,236,27,3.4000000000000004,37,51.7,890,10 -2012,8,7,17,30,200,176,54,2.5,34,63.940000000000005,890,11 -2012,8,7,18,30,161,73,368,1.6,31,76.13,890,16 -2012,8,7,19,30,14,14,0,1.6,28,88.01,890,20 -2012,8,7,20,30,0,0,0,2.4000000000000004,27,99.31,890,19 -2012,8,7,21,30,0,0,0,3.7,25,109.66,890,18 -2012,8,7,22,30,0,0,0,4.4,24,118.51,890,18 -2012,8,7,23,30,0,0,0,4.3,23,125.08,890,18 -2012,8,8,0,30,0,0,0,3.9000000000000004,23,128.48,890,17 -2012,8,8,1,30,0,0,0,3.6,23,128.06,890,17 -2012,8,8,2,30,0,0,0,3.5,22,123.9,890,17 -2012,8,8,3,30,0,0,0,3.3000000000000003,21,116.76,890,17 -2012,8,8,4,30,0,0,0,2.9000000000000004,21,107.53,890,16 -2012,8,8,5,30,0,0,0,2.8000000000000003,21,96.94,890,16 -2012,8,8,6,30,42,27,191,3.3000000000000003,22,85.49,890,16 -2012,8,8,7,30,224,70,542,3.9000000000000004,24,73.53,890,16 -2012,8,8,8,30,432,94,705,3.8000000000000003,27,61.32,890,15 -2012,8,8,9,30,628,111,789,3.2,30,49.13,890,14 -2012,8,8,10,30,791,126,836,2.5,32,37.34,890,13 -2012,8,8,11,30,907,137,863,2.1,33,26.830000000000002,890,13 -2012,8,8,12,30,963,151,864,2.3000000000000003,34,20.03,890,12 -2012,8,8,13,30,962,143,877,2.7,35,21.02,890,12 -2012,8,8,14,30,898,132,876,3,35,29.02,890,11 -2012,8,8,15,30,777,115,863,3.3000000000000003,35,39.95,890,10 -2012,8,8,16,30,605,101,817,3.3000000000000003,34,51.89,890,10 -2012,8,8,17,30,400,83,727,2.8000000000000003,33,64.12,890,9 -2012,8,8,18,30,187,58,543,1.6,30,76.31,890,10 -2012,8,8,19,30,16,13,112,1,27,88.2,890,14 -2012,8,8,20,30,0,0,0,1.1,25,99.52,890,14 -2012,8,8,21,30,0,0,0,1.1,24,109.89,890,13 -2012,8,8,22,30,0,0,0,1.2000000000000002,23,118.77,890,13 -2012,8,8,23,30,0,0,0,1.2000000000000002,23,125.36,890,13 -2012,8,9,0,30,0,0,0,1.2000000000000002,22,128.77,890,13 -2012,8,9,1,30,0,0,0,1.2000000000000002,22,128.34,890,13 -2012,8,9,2,30,0,0,0,1.3,21,124.15,890,13 -2012,8,9,3,30,0,0,0,1.3,21,116.98,890,13 -2012,8,9,4,30,0,0,0,1.3,20,107.72,890,13 -2012,8,9,5,30,0,0,0,1.6,20,97.10000000000001,890,13 -2012,8,9,6,30,42,26,221,2.6,22,85.63,890,13 -2012,8,9,7,30,229,68,571,3.3000000000000003,26,73.66,890,13 -2012,8,9,8,30,442,91,734,3.1,29,61.44,890,12 -2012,8,9,9,30,643,105,824,2.8000000000000003,32,49.26,890,11 -2012,8,9,10,30,809,114,875,2.6,34,37.49,890,10 -2012,8,9,11,30,925,119,905,2.5,36,27.03,890,9 -2012,8,9,12,30,983,119,921,2.7,37,20.3,890,8 -2012,8,9,13,30,976,118,920,3,38,21.31,890,8 -2012,8,9,14,30,906,114,907,3.4000000000000004,38,29.25,890,8 -2012,8,9,15,30,781,102,888,3.7,37,40.15,890,7 -2012,8,9,16,30,607,91,840,3.8000000000000003,36,52.07,890,7 -2012,8,9,17,30,402,75,753,3.3000000000000003,34,64.31,890,7 -2012,8,9,18,30,187,52,578,2.2,31,76.5,890,7 -2012,8,9,19,30,15,11,131,1.7000000000000002,28,88.4,890,10 -2012,8,9,20,30,0,0,0,2,26,99.74000000000001,890,10 -2012,8,9,21,30,0,0,0,2.5,25,110.13,890,10 -2012,8,9,22,30,0,0,0,3,24,119.03,890,9 -2012,8,9,23,30,0,0,0,3.4000000000000004,23,125.65,890,9 -2012,8,10,0,30,0,0,0,3.5,22,129.06,890,8 -2012,8,10,1,30,0,0,0,3.4000000000000004,21,128.62,890,8 -2012,8,10,2,30,0,0,0,3.2,20,124.41,890,8 -2012,8,10,3,30,0,0,0,2.9000000000000004,19,117.2,890,8 -2012,8,10,4,30,0,0,0,2.5,18,107.9,890,8 -2012,8,10,5,30,0,0,0,2.4000000000000004,18,97.26,890,9 -2012,8,10,6,30,40,24,212,2.8000000000000003,19,85.77,890,9 -2012,8,10,7,30,223,70,545,3.1,22,73.79,890,9 -2012,8,10,8,30,430,101,690,3,24,61.57,890,9 -2012,8,10,9,30,624,125,766,2.5,27,49.39,890,9 -2012,8,10,10,30,784,143,810,2.1,30,37.64,890,9 -2012,8,10,11,30,897,153,836,1.6,32,27.240000000000002,890,8 -2012,8,10,12,30,932,209,771,1.5,33,20.580000000000002,890,8 -2012,8,10,13,30,927,201,780,1.8,34,21.6,890,8 -2012,8,10,14,30,860,188,772,2.3000000000000003,35,29.490000000000002,890,8 -2012,8,10,15,30,759,117,843,2.8000000000000003,35,40.36,890,8 -2012,8,10,16,30,588,101,795,3.4000000000000004,34,52.27,890,8 -2012,8,10,17,30,387,82,706,3.9000000000000004,33,64.5,890,7 -2012,8,10,18,30,177,56,527,4.1000000000000005,30,76.7,890,7 -2012,8,10,19,30,13,11,94,4.2,27,88.61,890,7 -2012,8,10,20,30,0,0,0,4.1000000000000005,25,99.96000000000001,890,7 -2012,8,10,21,30,0,0,0,3.6,24,110.38,890,7 -2012,8,10,22,30,0,0,0,3,22,119.3,890,6 -2012,8,10,23,30,0,0,0,2.5,22,125.94,890,6 -2012,8,11,0,30,0,0,0,2,21,129.36,890,6 -2012,8,11,1,30,0,0,0,1.4000000000000001,21,128.9,890,6 -2012,8,11,2,30,0,0,0,1.1,21,124.66,890,7 -2012,8,11,3,30,0,0,0,1,21,117.41,890,7 -2012,8,11,4,30,0,0,0,1.2000000000000002,20,108.09,890,7 -2012,8,11,5,30,0,0,0,2,20,97.42,890,6 -2012,8,11,6,30,31,24,96,3,21,85.91,890,6 -2012,8,11,7,30,220,70,542,3.7,22,73.91,890,5 -2012,8,11,8,30,429,98,697,4.2,24,61.690000000000005,890,5 -2012,8,11,9,30,625,120,778,4.9,28,49.52,890,5 -2012,8,11,10,30,788,134,827,5.4,31,37.800000000000004,890,5 -2012,8,11,11,30,903,141,859,5.4,34,27.45,890,6 -2012,8,11,12,30,965,128,895,5.1000000000000005,37,20.86,890,6 -2012,8,11,13,30,955,134,884,4.800000000000001,38,21.89,880,6 -2012,8,11,14,30,881,139,854,4.6000000000000005,39,29.740000000000002,880,6 -2012,8,11,15,30,749,142,799,4.5,39,40.57,880,5 -2012,8,11,16,30,576,126,737,4.6000000000000005,38,52.46,880,5 -2012,8,11,17,30,276,175,236,4.6000000000000005,37,64.69,880,5 -2012,8,11,18,30,164,58,464,4.4,34,76.89,880,6 -2012,8,11,19,30,9,9,0,4.5,31,88.82000000000001,880,6 -2012,8,11,20,30,0,0,0,4.5,29,100.19,880,6 -2012,8,11,21,30,0,0,0,4.4,28,110.63,880,6 -2012,8,11,22,30,0,0,0,4.4,27,119.57000000000001,880,5 -2012,8,11,23,30,0,0,0,4.1000000000000005,26,126.23,880,5 -2012,8,12,0,30,0,0,0,4.1000000000000005,26,129.67000000000002,880,5 -2012,8,12,1,30,0,0,0,3.9000000000000004,25,129.19,880,5 -2012,8,12,2,30,0,0,0,3.4000000000000004,24,124.92,880,6 -2012,8,12,3,30,0,0,0,2.6,23,117.63,890,6 -2012,8,12,4,30,0,0,0,1.9000000000000001,22,108.27,890,7 -2012,8,12,5,30,0,0,0,2,22,97.58,890,8 -2012,8,12,6,30,31,24,108,3.3000000000000003,24,86.05,890,9 -2012,8,12,7,30,57,57,0,5.5,26,74.04,890,9 -2012,8,12,8,30,270,204,138,7.1000000000000005,29,61.82,890,9 -2012,8,12,9,30,443,300,221,7.2,31,49.65,890,10 -2012,8,12,10,30,608,346,332,6.800000000000001,32,37.96,890,10 -2012,8,12,11,30,892,148,839,6.5,33,27.66,890,9 -2012,8,12,12,30,941,170,827,6.1000000000000005,34,21.150000000000002,890,8 -2012,8,12,13,30,471,424,50,5.7,35,22.19,890,8 -2012,8,12,14,30,706,400,353,5.300000000000001,35,29.990000000000002,890,7 -2012,8,12,15,30,742,138,799,4.9,35,40.79,890,6 -2012,8,12,16,30,309,266,71,4.5,34,52.660000000000004,890,6 -2012,8,12,17,30,303,158,343,3.9000000000000004,32,64.89,890,5 -2012,8,12,18,30,37,37,0,2.5,30,77.10000000000001,890,5 -2012,8,12,19,30,0,0,0,1.5,27,89.03,890,7 -2012,8,12,20,30,0,0,0,1.5,26,100.42,890,8 -2012,8,12,21,30,0,0,0,1.6,25,110.88,890,7 -2012,8,12,22,30,0,0,0,1.7000000000000002,24,119.85000000000001,890,7 -2012,8,12,23,30,0,0,0,1.5,23,126.53,890,7 -2012,8,13,0,30,0,0,0,1.3,23,129.97,890,8 -2012,8,13,1,30,0,0,0,1.2000000000000002,22,129.48,890,8 -2012,8,13,2,30,0,0,0,1,21,125.18,890,8 -2012,8,13,3,30,0,0,0,0.9,20,117.86,890,9 -2012,8,13,4,30,0,0,0,0.9,20,108.46000000000001,890,9 -2012,8,13,5,30,0,0,0,1.1,20,97.74000000000001,890,9 -2012,8,13,6,30,33,22,165,1.7000000000000002,21,86.19,890,10 -2012,8,13,7,30,215,74,517,1.6,24,74.17,890,10 -2012,8,13,8,30,428,101,694,1.4000000000000001,27,61.95,890,9 -2012,8,13,9,30,629,117,793,1.9000000000000001,30,49.79,890,8 -2012,8,13,10,30,796,126,851,2.2,32,38.12,890,8 -2012,8,13,11,30,913,131,885,2.5,34,27.87,890,7 -2012,8,13,12,30,972,126,909,3,35,21.44,890,7 -2012,8,13,13,30,964,124,909,3.6,36,22.490000000000002,890,6 -2012,8,13,14,30,892,119,894,4.1000000000000005,36,30.25,890,5 -2012,8,13,15,30,765,105,874,4.4,35,41.01,890,5 -2012,8,13,16,30,589,94,819,4.5,34,52.870000000000005,890,4 -2012,8,13,17,30,382,79,719,4.4,33,65.09,890,4 -2012,8,13,18,30,169,54,525,3.8000000000000003,30,77.3,890,4 -2012,8,13,19,30,0,0,0,3.4000000000000004,28,89.25,890,5 -2012,8,13,20,30,0,0,0,3.4000000000000004,26,100.66,890,6 -2012,8,13,21,30,0,0,0,3.3000000000000003,25,111.14,890,6 -2012,8,13,22,30,0,0,0,3.2,24,120.13,890,7 -2012,8,13,23,30,0,0,0,3.1,23,126.84,890,7 -2012,8,14,0,30,0,0,0,3.1,22,130.28,890,8 -2012,8,14,1,30,0,0,0,3.2,21,129.78,890,8 -2012,8,14,2,30,0,0,0,3.1,21,125.44,890,10 -2012,8,14,3,30,0,0,0,2.9000000000000004,20,118.08,890,10 -2012,8,14,4,30,0,0,0,2.8000000000000003,20,108.65,890,11 -2012,8,14,5,30,0,0,0,3,20,97.9,890,11 -2012,8,14,6,30,29,23,94,3.5,22,86.33,890,11 -2012,8,14,7,30,202,85,432,4.6000000000000005,26,74.3,890,11 -2012,8,14,8,30,408,118,618,5.5,29,62.07,890,12 -2012,8,14,9,30,603,140,719,5.5,32,49.92,890,13 -2012,8,14,10,30,764,156,773,5.300000000000001,33,38.28,890,14 -2012,8,14,11,30,875,168,801,5,34,28.09,890,14 -2012,8,14,12,30,941,140,861,4.6000000000000005,35,21.73,880,13 -2012,8,14,13,30,930,146,850,4.1000000000000005,36,22.8,880,13 -2012,8,14,14,30,858,146,827,3.3000000000000003,36,30.51,880,13 -2012,8,14,15,30,734,130,802,2.2,36,41.24,880,12 -2012,8,14,16,30,560,120,733,1.3,35,53.08,880,12 -2012,8,14,17,30,356,103,607,1.4000000000000001,33,65.3,880,12 -2012,8,14,18,30,151,71,370,2.2,30,77.51,880,14 -2012,8,14,19,30,0,0,0,3.2,28,89.47,880,16 -2012,8,14,20,30,0,0,0,3.1,27,100.89,880,16 -2012,8,14,21,30,0,0,0,2.1,25,111.4,880,17 -2012,8,14,22,30,0,0,0,1.8,24,120.42,890,17 -2012,8,14,23,30,0,0,0,2.4000000000000004,23,127.15,880,17 -2012,8,15,0,30,0,0,0,2.9000000000000004,22,130.6,880,17 -2012,8,15,1,30,0,0,0,2.5,21,130.08,880,17 -2012,8,15,2,30,0,0,0,1.5,20,125.7,880,16 -2012,8,15,3,30,0,0,0,1.1,20,118.3,880,16 -2012,8,15,4,30,0,0,0,0.9,19,108.84,880,16 -2012,8,15,5,30,0,0,0,1.1,19,98.06,880,17 -2012,8,15,6,30,31,22,142,1.8,21,86.48,880,17 -2012,8,15,7,30,209,73,509,2.7,24,74.44,880,17 -2012,8,15,8,30,421,100,687,2.8000000000000003,27,62.2,880,16 -2012,8,15,9,30,620,117,782,2.4000000000000004,30,50.06,880,14 -2012,8,15,10,30,784,130,834,2.2,32,38.45,880,14 -2012,8,15,11,30,897,140,860,2.4000000000000004,33,28.3,880,13 -2012,8,15,12,30,952,143,872,2.8000000000000003,34,22.02,880,13 -2012,8,15,13,30,940,145,864,3.1,35,23.11,880,12 -2012,8,15,14,30,866,144,841,3.3000000000000003,35,30.78,880,12 -2012,8,15,15,30,744,120,832,3.4000000000000004,35,41.47,880,12 -2012,8,15,16,30,568,109,768,3.3000000000000003,34,53.300000000000004,880,12 -2012,8,15,17,30,363,91,655,2.6,33,65.51,880,12 -2012,8,15,18,30,154,61,439,1.7000000000000002,30,77.73,880,13 -2012,8,15,19,30,0,0,0,1.6,27,89.7,880,15 -2012,8,15,20,30,0,0,0,2.2,26,101.14,880,14 -2012,8,15,21,30,0,0,0,3.1,26,111.66,880,14 -2012,8,15,22,30,0,0,0,3.5,25,120.71000000000001,880,14 -2012,8,15,23,30,0,0,0,3.1,24,127.46000000000001,880,14 -2012,8,16,0,30,0,0,0,2.9000000000000004,24,130.92000000000002,880,14 -2012,8,16,1,30,0,0,0,3.4000000000000004,24,130.38,890,14 -2012,8,16,2,30,0,0,0,3.6,24,125.97,890,14 -2012,8,16,3,30,0,0,0,3.3000000000000003,23,118.53,890,14 -2012,8,16,4,30,0,0,0,2.7,22,109.03,890,14 -2012,8,16,5,30,0,0,0,1.8,22,98.22,890,14 -2012,8,16,6,30,18,16,39,1.7000000000000002,23,86.62,890,14 -2012,8,16,7,30,179,109,262,2.7,24,74.57000000000001,890,14 -2012,8,16,8,30,379,170,449,4,25,62.33,890,13 -2012,8,16,9,30,572,206,572,4.800000000000001,26,50.2,890,12 -2012,8,16,10,30,733,229,644,5,27,38.61,890,12 -2012,8,16,11,30,845,245,683,4.800000000000001,29,28.53,890,12 -2012,8,16,12,30,917,203,771,4.4,30,22.32,890,12 -2012,8,16,13,30,904,210,756,4.1000000000000005,31,23.42,890,12 -2012,8,16,14,30,829,213,718,3.8000000000000003,32,31.05,890,12 -2012,8,16,15,30,700,204,664,3.6,31,41.71,890,12 -2012,8,16,16,30,529,179,588,3.5,31,53.52,890,12 -2012,8,16,17,30,282,171,271,3.2,30,65.72,890,12 -2012,8,16,18,30,111,75,170,2.2,28,77.95,890,12 -2012,8,16,19,30,0,0,0,1.4000000000000001,26,89.93,890,13 -2012,8,16,20,30,0,0,0,1.3,25,101.38,890,13 -2012,8,16,21,30,0,0,0,1.5,24,111.93,890,13 -2012,8,16,22,30,0,0,0,2.1,24,121,890,13 -2012,8,16,23,30,0,0,0,2.8000000000000003,23,127.77,890,13 -2012,8,17,0,30,0,0,0,3.3000000000000003,22,131.24,890,13 -2012,8,17,1,30,0,0,0,3.7,21,130.69,890,12 -2012,8,17,2,30,0,0,0,3.8000000000000003,20,126.24000000000001,890,11 -2012,8,17,3,30,0,0,0,3.7,20,118.76,890,11 -2012,8,17,4,30,0,0,0,3.6,19,109.22,890,10 -2012,8,17,5,30,0,0,0,3.4000000000000004,18,98.39,890,10 -2012,8,17,6,30,20,18,36,3.2,18,86.76,890,9 -2012,8,17,7,30,156,96,228,2.8000000000000003,19,74.7,890,8 -2012,8,17,8,30,367,152,466,2.3000000000000003,20,62.46,890,9 -2012,8,17,9,30,552,207,539,2.2,20,50.34,890,10 -2012,8,17,10,30,685,303,489,2.2,20,38.78,890,11 -2012,8,17,11,30,796,318,545,2.3000000000000003,21,28.75,890,12 -2012,8,17,12,30,821,426,428,2.4000000000000004,22,22.63,890,13 -2012,8,17,13,30,813,419,431,2.7,23,23.740000000000002,890,14 -2012,8,17,14,30,756,365,458,3,23,31.330000000000002,890,15 -2012,8,17,15,30,648,241,548,3.1,24,41.95,890,15 -2012,8,17,16,30,538,143,666,3.1,25,53.74,890,15 -2012,8,17,17,30,327,118,512,3.2,24,65.94,890,15 -2012,8,17,18,30,134,71,308,2.8000000000000003,23,78.17,890,14 -2012,8,17,19,30,0,0,0,2.6,22,90.16,890,14 -2012,8,17,20,30,0,0,0,2.5,21,101.63,890,14 -2012,8,17,21,30,0,0,0,2.1,21,112.2,890,14 -2012,8,17,22,30,0,0,0,1.9000000000000001,21,121.3,890,14 -2012,8,17,23,30,0,0,0,2.2,21,128.09,890,15 -2012,8,18,0,30,0,0,0,2.7,21,131.57,890,15 -2012,8,18,1,30,0,0,0,3,21,130.99,890,16 -2012,8,18,2,30,0,0,0,2.8000000000000003,21,126.51,890,16 -2012,8,18,3,30,0,0,0,2.3000000000000003,20,118.98,890,17 -2012,8,18,4,30,0,0,0,2.1,20,109.41,890,17 -2012,8,18,5,30,0,0,0,2.2,20,98.55,890,17 -2012,8,18,6,30,23,19,71,2.8000000000000003,21,86.91,890,17 -2012,8,18,7,30,193,83,419,3.4000000000000004,24,74.83,890,17 -2012,8,18,8,30,400,116,616,3.2,27,62.6,890,16 -2012,8,18,9,30,473,274,312,2.1,30,50.480000000000004,890,15 -2012,8,18,10,30,761,149,786,1.3,32,38.95,880,14 -2012,8,18,11,30,875,158,819,1,33,28.98,880,14 -2012,8,18,12,30,932,155,844,0.7000000000000001,34,22.94,880,13 -2012,8,18,13,30,917,171,817,0.6000000000000001,35,24.07,880,13 -2012,8,18,14,30,836,196,751,1.1,34,31.61,880,13 -2012,8,18,15,30,716,158,753,1.8,33,42.2,880,12 -2012,8,18,16,30,525,160,621,2.5,32,53.97,880,12 -2012,8,18,17,30,170,155,38,3,31,66.17,880,12 -2012,8,18,18,30,112,81,153,3.3000000000000003,29,78.4,880,13 -2012,8,18,19,30,0,0,0,3.6,27,90.4,880,14 -2012,8,18,20,30,0,0,0,3.9000000000000004,26,101.89,890,14 -2012,8,18,21,30,0,0,0,4,25,112.48,890,15 -2012,8,18,22,30,0,0,0,4,24,121.60000000000001,890,15 -2012,8,18,23,30,0,0,0,3.6,23,128.42000000000002,890,16 -2012,8,19,0,30,0,0,0,2.8000000000000003,22,131.9,890,17 -2012,8,19,1,30,0,0,0,1.8,20,131.3,890,17 -2012,8,19,2,30,0,0,0,1.2000000000000002,20,126.78,890,17 -2012,8,19,3,30,0,0,0,1.2000000000000002,20,119.21000000000001,890,17 -2012,8,19,4,30,0,0,0,1.3,19,109.60000000000001,890,17 -2012,8,19,5,30,0,0,0,1.8,19,98.71000000000001,890,17 -2012,8,19,6,30,18,18,0,2.5,19,87.05,890,16 -2012,8,19,7,30,196,84,433,3,21,74.96000000000001,890,15 -2012,8,19,8,30,265,197,146,3.1,23,62.730000000000004,890,11 -2012,8,19,9,30,286,260,41,2.7,26,50.63,890,9 -2012,8,19,10,30,785,123,853,2.2,28,39.13,890,7 -2012,8,19,11,30,903,126,890,1.8,29,29.22,890,7 -2012,8,19,12,30,946,164,851,1.4000000000000001,30,23.25,890,7 -2012,8,19,13,30,629,473,171,1.2000000000000002,31,24.400000000000002,890,7 -2012,8,19,14,30,858,169,810,1.1,32,31.900000000000002,890,7 -2012,8,19,15,30,736,131,820,1.2000000000000002,31,42.45,890,7 -2012,8,19,16,30,244,226,30,1.4000000000000001,30,54.21,890,7 -2012,8,19,17,30,250,163,218,1.5,29,66.39,890,8 -2012,8,19,18,30,142,62,404,1.2000000000000002,27,78.63,890,8 -2012,8,19,19,30,0,0,0,1.1,25,90.64,890,10 -2012,8,19,20,30,0,0,0,1.7000000000000002,24,102.15,890,9 -2012,8,19,21,30,0,0,0,2.5,23,112.76,890,8 -2012,8,19,22,30,0,0,0,3,21,121.91,890,7 -2012,8,19,23,30,0,0,0,3.1,20,128.75,890,6 -2012,8,20,0,30,0,0,0,2.8000000000000003,19,132.23,890,5 -2012,8,20,1,30,0,0,0,2.6,18,131.62,890,5 -2012,8,20,2,30,0,0,0,2.4000000000000004,17,127.05,890,4 -2012,8,20,3,30,0,0,0,2.2,17,119.44,890,4 -2012,8,20,4,30,0,0,0,2.3000000000000003,16,109.79,890,4 -2012,8,20,5,30,0,0,0,2.5,16,98.87,890,4 -2012,8,20,6,30,21,18,69,2.9000000000000004,17,87.19,890,4 -2012,8,20,7,30,190,87,398,3.6,19,75.10000000000001,890,4 -2012,8,20,8,30,394,129,582,4.3,22,62.86,890,4 -2012,8,20,9,30,588,155,684,4.5,25,50.77,890,7 -2012,8,20,10,30,749,173,744,4.4,27,39.300000000000004,890,9 -2012,8,20,11,30,790,305,556,4.3,29,29.45,890,11 -2012,8,20,12,30,914,181,799,4.2,30,23.56,890,12 -2012,8,20,13,30,785,408,414,4.1000000000000005,31,24.73,890,14 -2012,8,20,14,30,593,430,192,3.9000000000000004,30,32.19,890,14 -2012,8,20,15,30,690,188,682,3.8000000000000003,30,42.71,880,15 -2012,8,20,16,30,511,164,597,4,29,54.44,880,15 -2012,8,20,17,30,133,131,6,4.2,28,66.63,880,15 -2012,8,20,18,30,34,34,0,4.4,26,78.87,880,16 -2012,8,20,19,30,0,0,0,3.6,24,90.89,880,16 -2012,8,20,20,30,0,0,0,2.4000000000000004,22,102.41,890,17 -2012,8,20,21,30,0,0,0,2.8000000000000003,20,113.04,890,17 -2012,8,20,22,30,0,0,0,4.5,18,122.22,890,17 -2012,8,20,23,30,0,0,0,5.5,17,129.08,890,15 -2012,8,21,0,30,0,0,0,5.5,15,132.57,890,14 -2012,8,21,1,30,0,0,0,5,15,131.93,890,13 -2012,8,21,2,30,0,0,0,4.3,15,127.33,890,13 -2012,8,21,3,30,0,0,0,3.3000000000000003,15,119.67,890,14 -2012,8,21,4,30,0,0,0,2.5,15,109.98,890,14 -2012,8,21,5,30,0,0,0,2.3000000000000003,15,99.04,890,14 -2012,8,21,6,30,16,15,36,2.5,15,87.34,890,14 -2012,8,21,7,30,74,74,0,2.7,17,75.23,890,14 -2012,8,21,8,30,67,67,0,2.5,20,62.99,890,15 -2012,8,21,9,30,399,295,165,2,22,50.92,890,15 -2012,8,21,10,30,520,382,179,1.4000000000000001,24,39.480000000000004,890,15 -2012,8,21,11,30,371,346,29,1.2000000000000002,25,29.69,890,15 -2012,8,21,12,30,385,360,27,1.6,26,23.88,890,15 -2012,8,21,13,30,350,330,22,2,27,25.060000000000002,890,15 -2012,8,21,14,30,317,300,20,2.5,27,32.480000000000004,890,15 -2012,8,21,15,30,485,357,174,2.9000000000000004,27,42.97,890,15 -2012,8,21,16,30,516,185,573,3.4000000000000004,26,54.69,890,15 -2012,8,21,17,30,318,138,457,3.8000000000000003,25,66.86,890,15 -2012,8,21,18,30,121,74,248,4,22,79.10000000000001,890,15 -2012,8,21,19,30,0,0,0,4.1000000000000005,20,91.14,890,15 -2012,8,21,20,30,0,0,0,4,19,102.67,890,15 -2012,8,21,21,30,0,0,0,3.6,18,113.33,890,15 -2012,8,21,22,30,0,0,0,3.2,18,122.53,890,15 -2012,8,21,23,30,0,0,0,2.8000000000000003,17,129.41,890,15 -2012,8,22,0,30,0,0,0,2.4000000000000004,17,132.91,890,15 -2012,8,22,1,30,0,0,0,2.1,17,132.25,890,15 -2012,8,22,2,30,0,0,0,2,16,127.60000000000001,890,15 -2012,8,22,3,30,0,0,0,2,16,119.9,890,15 -2012,8,22,4,30,0,0,0,1.9000000000000001,16,110.18,890,15 -2012,8,22,5,30,0,0,0,2,16,99.2,890,15 -2012,8,22,6,30,11,11,0,2.6,17,87.48,890,15 -2012,8,22,7,30,77,77,0,3.2,19,75.37,890,15 -2012,8,22,8,30,305,198,238,3.5,21,63.13,890,15 -2012,8,22,9,30,469,275,309,3.6,24,51.07,890,15 -2012,8,22,10,30,654,306,452,3.5,25,39.660000000000004,890,16 -2012,8,22,11,30,718,389,379,3.4000000000000004,26,29.93,890,16 -2012,8,22,12,30,911,211,767,3.3000000000000003,27,24.2,890,15 -2012,8,22,13,30,900,206,769,3.2,28,25.400000000000002,890,15 -2012,8,22,14,30,826,196,748,3.1,28,32.78,890,15 -2012,8,22,15,30,707,148,767,3,28,43.230000000000004,890,14 -2012,8,22,16,30,532,127,704,3.1,28,54.93,890,14 -2012,8,22,17,30,286,133,393,3.1,27,67.1,890,14 -2012,8,22,18,30,73,66,35,3.1,25,79.35000000000001,890,14 -2012,8,22,19,30,0,0,0,3.4000000000000004,23,91.39,890,15 -2012,8,22,20,30,0,0,0,3.8000000000000003,22,102.94,890,15 -2012,8,22,21,30,0,0,0,4.1000000000000005,22,113.62,890,15 -2012,8,22,22,30,0,0,0,4.3,22,122.85000000000001,890,16 -2012,8,22,23,30,0,0,0,4.5,21,129.75,890,16 -2012,8,23,0,30,0,0,0,4.4,21,133.25,890,16 -2012,8,23,1,30,0,0,0,4.3,21,132.57,890,16 -2012,8,23,2,30,0,0,0,4.1000000000000005,20,127.88000000000001,890,16 -2012,8,23,3,30,0,0,0,3.9000000000000004,20,120.13,890,16 -2012,8,23,4,30,0,0,0,3.6,20,110.37,890,16 -2012,8,23,5,30,0,0,0,3.4000000000000004,20,99.36,890,16 -2012,8,23,6,30,14,14,0,3.6,21,87.63,890,16 -2012,8,23,7,30,35,35,0,4.3,23,75.5,890,16 -2012,8,23,8,30,84,84,0,4.800000000000001,25,63.27,890,16 -2012,8,23,9,30,339,284,87,4.800000000000001,27,51.22,890,16 -2012,8,23,10,30,77,77,0,4.7,28,39.85,890,16 -2012,8,23,11,30,718,386,384,4.7,29,30.18,890,16 -2012,8,23,12,30,713,457,281,4.800000000000001,29,24.52,880,16 -2012,8,23,13,30,623,468,172,4.9,30,25.75,880,16 -2012,8,23,14,30,459,399,71,5,30,33.09,880,16 -2012,8,23,15,30,505,351,211,5,30,43.5,880,16 -2012,8,23,16,30,372,259,196,4.9,29,55.18,880,15 -2012,8,23,17,30,259,152,279,4.4,28,67.34,880,15 -2012,8,23,18,30,97,67,164,3.9000000000000004,27,79.59,880,15 -2012,8,23,19,30,0,0,0,3.9000000000000004,25,91.64,880,16 -2012,8,23,20,30,0,0,0,4.3,24,103.21000000000001,880,16 -2012,8,23,21,30,0,0,0,4.4,24,113.92,880,16 -2012,8,23,22,30,0,0,0,4.3,23,123.17,880,16 -2012,8,23,23,30,0,0,0,4.1000000000000005,23,130.09,880,16 -2012,8,24,0,30,0,0,0,3.9000000000000004,22,133.6,880,17 -2012,8,24,1,30,0,0,0,3.8000000000000003,22,132.9,880,17 -2012,8,24,2,30,0,0,0,3.6,21,128.16,880,17 -2012,8,24,3,30,0,0,0,3.5,21,120.36,880,17 -2012,8,24,4,30,0,0,0,3.4000000000000004,21,110.56,880,17 -2012,8,24,5,30,0,0,0,3.4000000000000004,21,99.53,880,16 -2012,8,24,6,30,12,12,0,3.8000000000000003,21,87.77,880,16 -2012,8,24,7,30,183,73,443,4.800000000000001,23,75.64,880,16 -2012,8,24,8,30,394,95,668,5.5,26,63.4,880,15 -2012,8,24,9,30,595,105,785,5.1000000000000005,28,51.370000000000005,880,14 -2012,8,24,10,30,762,111,850,4.3,31,40.03,880,14 -2012,8,24,11,30,879,114,887,3.8000000000000003,32,30.43,880,13 -2012,8,24,12,30,938,109,913,3.7,33,24.85,880,13 -2012,8,24,13,30,930,109,914,3.7,34,26.09,880,12 -2012,8,24,14,30,857,107,898,3.7,35,33.4,880,12 -2012,8,24,15,30,727,97,871,3.7,34,43.78,880,11 -2012,8,24,16,30,548,87,812,3.6,33,55.44,880,10 -2012,8,24,17,30,339,72,700,2.9000000000000004,31,67.59,880,10 -2012,8,24,18,30,128,46,462,2.3000000000000003,28,79.84,880,12 -2012,8,24,19,30,0,0,0,2.5,26,91.9,880,13 -2012,8,24,20,30,0,0,0,3.2,24,103.49000000000001,880,14 -2012,8,24,21,30,0,0,0,3.7,24,114.21000000000001,880,15 -2012,8,24,22,30,0,0,0,4,23,123.49000000000001,880,15 -2012,8,24,23,30,0,0,0,3.9000000000000004,22,130.44,880,16 -2012,8,25,0,30,0,0,0,3.5,21,133.95,880,16 -2012,8,25,1,30,0,0,0,2.8000000000000003,20,133.22,880,17 -2012,8,25,2,30,0,0,0,2.1,20,128.44,880,17 -2012,8,25,3,30,0,0,0,1.5,19,120.60000000000001,880,17 -2012,8,25,4,30,0,0,0,1.1,18,110.75,880,17 -2012,8,25,5,30,0,0,0,1.1,18,99.69,880,16 -2012,8,25,6,30,19,14,156,1.6,19,87.92,880,16 -2012,8,25,7,30,196,51,588,1.9000000000000001,22,75.77,880,16 -2012,8,25,8,30,408,69,761,1.9000000000000001,25,63.54,880,15 -2012,8,25,9,30,608,81,846,2.1,28,51.52,880,13 -2012,8,25,10,30,772,90,893,2.2,30,40.22,880,13 -2012,8,25,11,30,886,97,917,2.4000000000000004,32,30.68,880,12 -2012,8,25,12,30,941,98,931,2.7,33,25.18,880,12 -2012,8,25,13,30,931,99,929,3,33,26.44,880,11 -2012,8,25,14,30,858,95,916,3.3000000000000003,34,33.71,880,11 -2012,8,25,15,30,727,88,888,3.6,33,44.050000000000004,880,11 -2012,8,25,16,30,549,78,834,3.7,32,55.69,880,10 -2012,8,25,17,30,340,64,731,3.3000000000000003,30,67.84,880,10 -2012,8,25,18,30,128,41,505,2.4000000000000004,27,80.09,880,11 -2012,8,25,19,30,0,0,0,2.2,25,92.16,880,12 -2012,8,25,20,30,0,0,0,2.6,24,103.76,890,13 -2012,8,25,21,30,0,0,0,2.5,23,114.51,890,13 -2012,8,25,22,30,0,0,0,2,22,123.82000000000001,890,14 -2012,8,25,23,30,0,0,0,1.6,21,130.79,890,15 -2012,8,26,0,30,0,0,0,1.4000000000000001,20,134.3,890,16 -2012,8,26,1,30,0,0,0,1.5,19,133.55,890,17 -2012,8,26,2,30,0,0,0,1.8,19,128.72,890,17 -2012,8,26,3,30,0,0,0,2,18,120.83,890,17 -2012,8,26,4,30,0,0,0,2.2,18,110.95,890,17 -2012,8,26,5,30,0,0,0,2.4000000000000004,17,99.86,890,16 -2012,8,26,6,30,18,14,115,2.6,18,88.06,890,17 -2012,8,26,7,30,193,61,541,2.8000000000000003,21,75.91,890,17 -2012,8,26,8,30,408,83,734,3,24,63.68,890,17 -2012,8,26,9,30,612,94,834,3,27,51.68,890,17 -2012,8,26,10,30,781,101,893,3.1,29,40.410000000000004,890,16 -2012,8,26,11,30,899,104,926,3.3000000000000003,31,30.94,890,14 -2012,8,26,12,30,951,112,929,3.5,32,25.51,890,13 -2012,8,26,13,30,941,110,930,3.7,33,26.8,890,12 -2012,8,26,14,30,864,106,915,3.9000000000000004,33,34.03,890,11 -2012,8,26,15,30,728,100,878,4.1000000000000005,33,44.34,890,11 -2012,8,26,16,30,546,88,817,4.2,32,55.96,890,11 -2012,8,26,17,30,335,72,705,4,30,68.09,890,11 -2012,8,26,18,30,122,44,466,3.4000000000000004,27,80.35000000000001,890,12 -2012,8,26,19,30,0,0,0,3.1,25,92.43,890,14 -2012,8,26,20,30,0,0,0,3,24,104.04,890,15 -2012,8,26,21,30,0,0,0,2.6,23,114.82000000000001,890,16 -2012,8,26,22,30,0,0,0,2.1,22,124.15,890,16 -2012,8,26,23,30,0,0,0,1.7000000000000002,20,131.14000000000001,890,16 -2012,8,27,0,30,0,0,0,1.3,19,134.66,890,17 -2012,8,27,1,30,0,0,0,1.1,19,133.88,890,17 -2012,8,27,2,30,0,0,0,1,18,129,890,17 -2012,8,27,3,30,0,0,0,1,17,121.06,890,17 -2012,8,27,4,30,0,0,0,1,17,111.14,890,17 -2012,8,27,5,30,0,0,0,1,17,100.02,890,17 -2012,8,27,6,30,17,13,144,1.5,18,88.21000000000001,890,17 -2012,8,27,7,30,198,55,591,1.2000000000000002,22,76.05,890,17 -2012,8,27,8,30,416,77,769,0.8,26,63.82,890,15 -2012,8,27,9,30,621,90,859,1.6,29,51.83,890,12 -2012,8,27,10,30,790,98,910,2.1,31,40.6,890,11 -2012,8,27,11,30,905,103,938,2.5,32,31.19,890,9 -2012,8,27,12,30,957,109,942,2.9000000000000004,33,25.85,890,8 -2012,8,27,13,30,944,108,939,3.2,34,27.150000000000002,890,8 -2012,8,27,14,30,865,104,922,3.4000000000000004,34,34.35,890,7 -2012,8,27,15,30,729,94,891,3.5,33,44.62,890,7 -2012,8,27,16,30,544,84,827,3.6,32,56.22,890,8 -2012,8,27,17,30,331,69,710,3.1,31,68.35000000000001,890,8 -2012,8,27,18,30,118,43,459,2.2,28,80.60000000000001,890,10 -2012,8,27,19,30,0,0,0,2,25,92.69,890,11 -2012,8,27,20,30,0,0,0,2.2,24,104.33,890,12 -2012,8,27,21,30,0,0,0,2,23,115.12,890,12 -2012,8,27,22,30,0,0,0,1.7000000000000002,22,124.48,890,12 -2012,8,27,23,30,0,0,0,1.4000000000000001,20,131.49,890,13 -2012,8,28,0,30,0,0,0,1.2000000000000002,20,135.01,890,13 -2012,8,28,1,30,0,0,0,1,19,134.21,890,13 -2012,8,28,2,30,0,0,0,0.8,19,129.29,890,13 -2012,8,28,3,30,0,0,0,0.8,18,121.3,890,13 -2012,8,28,4,30,0,0,0,0.7000000000000001,18,111.33,890,13 -2012,8,28,5,30,0,0,0,0.5,18,100.18,890,13 -2012,8,28,6,30,14,11,87,0.5,19,88.35000000000001,890,13 -2012,8,28,7,30,187,64,513,1.2000000000000002,22,76.19,890,13 -2012,8,28,8,30,403,93,705,2.2,25,63.96,890,13 -2012,8,28,9,30,608,112,804,2.5,27,51.99,890,11 -2012,8,28,10,30,777,127,858,3,30,40.800000000000004,890,9 -2012,8,28,11,30,894,138,886,3.4000000000000004,31,31.46,890,6 -2012,8,28,12,30,953,136,910,3.8000000000000003,32,26.19,890,5 -2012,8,28,13,30,943,133,912,4.1000000000000005,33,27.51,890,3 -2012,8,28,14,30,866,128,897,4.3,33,34.67,890,3 -2012,8,28,15,30,730,117,866,4.4,32,44.910000000000004,890,2 -2012,8,28,16,30,544,103,799,4.3,31,56.49,890,1 -2012,8,28,17,30,329,82,676,3.4000000000000004,29,68.61,890,1 -2012,8,28,18,30,114,47,421,2.2,25,80.87,890,3 -2012,8,28,19,30,0,0,0,1.8,22,92.96000000000001,890,5 -2012,8,28,20,30,0,0,0,1.7000000000000002,21,104.61,890,5 -2012,8,28,21,30,0,0,0,1.6,20,115.43,890,6 -2012,8,28,22,30,0,0,0,1.4000000000000001,19,124.81,890,7 -2012,8,28,23,30,0,0,0,1.2000000000000002,18,131.85,890,7 -2012,8,29,0,30,0,0,0,1.1,17,135.37,890,7 -2012,8,29,1,30,0,0,0,1.1,17,134.54,890,7 -2012,8,29,2,30,0,0,0,1,16,129.57,890,7 -2012,8,29,3,30,0,0,0,1,16,121.53,890,7 -2012,8,29,4,30,0,0,0,0.9,16,111.52,890,7 -2012,8,29,5,30,0,0,0,0.6000000000000001,16,100.35000000000001,890,7 -2012,8,29,6,30,12,10,69,0.30000000000000004,17,88.5,890,7 -2012,8,29,7,30,185,72,477,0.2,20,76.32000000000001,890,8 -2012,8,29,8,30,402,108,672,0.7000000000000001,23,64.1,890,8 -2012,8,29,9,30,608,130,779,1.4000000000000001,26,52.15,890,5 -2012,8,29,10,30,779,140,846,1.8,29,41,890,3 -2012,8,29,11,30,898,144,887,2.2,30,31.720000000000002,890,2 -2012,8,29,12,30,957,136,917,2.7,31,26.53,890,1 -2012,8,29,13,30,944,135,915,3,32,27.87,890,1 -2012,8,29,14,30,865,129,899,3.4000000000000004,33,35,890,1 -2012,8,29,15,30,731,109,883,3.7,32,45.2,890,0 -2012,8,29,16,30,545,94,823,3.7,31,56.76,890,0 -2012,8,29,17,30,329,74,710,2.9000000000000004,29,68.88,890,1 -2012,8,29,18,30,113,42,459,1.9000000000000001,25,81.13,890,4 -2012,8,29,19,30,0,0,0,1.5,22,93.24,890,6 -2012,8,29,20,30,0,0,0,1.4000000000000001,21,104.9,890,6 -2012,8,29,21,30,0,0,0,1.2000000000000002,20,115.74000000000001,890,6 -2012,8,29,22,30,0,0,0,1.1,19,125.15,890,7 -2012,8,29,23,30,0,0,0,1.1,18,132.21,890,7 -2012,8,30,0,30,0,0,0,1.1,18,135.74,890,7 -2012,8,30,1,30,0,0,0,1,17,134.88,890,7 -2012,8,30,2,30,0,0,0,0.9,17,129.85,890,6 -2012,8,30,3,30,0,0,0,0.7000000000000001,17,121.76,890,6 -2012,8,30,4,30,0,0,0,0.5,17,111.72,890,6 -2012,8,30,5,30,0,0,0,0.4,17,100.51,890,6 -2012,8,30,6,30,14,11,124,0.6000000000000001,18,88.64,890,6 -2012,8,30,7,30,194,53,602,0.7000000000000001,20,76.46000000000001,890,7 -2012,8,30,8,30,414,75,780,0.9,24,64.25,890,6 -2012,8,30,9,30,619,90,865,1.6,28,52.31,890,4 -2012,8,30,10,30,786,101,910,2.3000000000000003,30,41.2,890,3 -2012,8,30,11,30,900,108,934,2.9000000000000004,32,31.990000000000002,890,3 -2012,8,30,12,30,955,107,950,3.3000000000000003,33,26.87,890,3 -2012,8,30,13,30,941,107,947,3.6,34,28.240000000000002,890,3 -2012,8,30,14,30,862,103,930,3.8000000000000003,34,35.33,890,4 -2012,8,30,15,30,723,98,891,3.9000000000000004,33,45.5,880,4 -2012,8,30,16,30,488,133,651,3.8000000000000003,32,57.04,880,3 -2012,8,30,17,30,321,53,753,2.9000000000000004,30,69.14,880,3 -2012,8,30,18,30,109,41,454,1.9000000000000001,27,81.4,880,5 -2012,8,30,19,30,0,0,0,1.8,24,93.51,890,7 -2012,8,30,20,30,0,0,0,1.9000000000000001,22,105.19,890,6 -2012,8,30,21,30,0,0,0,1.9000000000000001,21,116.05,890,7 -2012,8,30,22,30,0,0,0,1.6,20,125.49000000000001,890,7 -2012,8,30,23,30,0,0,0,1.3,19,132.57,890,8 -2012,8,31,0,30,0,0,0,1.1,19,136.1,890,8 -2012,8,31,1,30,0,0,0,1,18,135.21,890,8 -2012,8,31,2,30,0,0,0,0.8,18,130.14000000000001,890,8 -2012,8,31,3,30,0,0,0,0.5,19,122,890,8 -2012,8,31,4,30,0,0,0,0.6000000000000001,18,111.91,890,8 -2012,8,31,5,30,0,0,0,0.9,17,100.67,890,8 -2012,8,31,6,30,13,10,117,1.3,18,88.79,890,8 -2012,8,31,7,30,190,54,590,1.7000000000000002,22,76.60000000000001,890,9 -2012,8,31,8,30,410,77,770,1.5,26,64.39,890,8 -2012,8,31,9,30,615,91,860,1.2000000000000002,29,52.480000000000004,890,7 -2012,8,31,10,30,784,101,910,1.5,30,41.4,890,6 -2012,8,31,11,30,899,106,937,1.6,32,32.26,890,5 -2012,8,31,12,30,950,115,939,1.6,33,27.22,890,5 -2012,8,31,13,30,936,114,935,1.6,33,28.61,890,4 -2012,8,31,14,30,856,110,918,1.6,34,35.67,890,4 -2012,8,31,15,30,718,102,882,1.6,33,45.800000000000004,890,3 -2012,8,31,16,30,532,90,818,1.7000000000000002,32,57.32,890,3 -2012,8,31,17,30,317,72,698,1.3,30,69.41,890,3 -2012,8,31,18,30,104,41,434,1,27,81.67,890,8 -2012,8,31,19,30,0,0,0,1.2000000000000002,24,93.79,890,7 -2012,8,31,20,30,0,0,0,1.3,22,105.49000000000001,890,6 -2012,8,31,21,30,0,0,0,1.4000000000000001,22,116.37,890,6 -2012,8,31,22,30,0,0,0,1.5,21,125.83,890,6 -2012,8,31,23,30,0,0,0,1.4000000000000001,20,132.94,890,6 -2012,9,1,0,30,0,0,0,1.4000000000000001,19,136.47,890,6 -2012,9,1,1,30,0,0,0,1.3,18,135.55,890,5 -2012,9,1,2,30,0,0,0,1.3,18,130.42000000000002,890,5 -2012,9,1,3,30,0,0,0,1.3,17,122.23,890,5 -2012,9,1,4,30,0,0,0,1.3,17,112.10000000000001,890,5 -2012,9,1,5,30,0,0,0,1.2000000000000002,17,100.84,890,5 -2012,9,1,6,30,12,10,114,1.5,19,88.94,890,5 -2012,9,1,7,30,191,52,607,2,22,76.74,890,5 -2012,9,1,8,30,414,73,792,2.1,26,64.53,890,5 -2012,9,1,9,30,621,86,881,2,30,52.64,890,3 -2012,9,1,10,30,789,95,928,2.1,32,41.61,890,1 -2012,9,1,11,30,904,101,952,2.1,34,32.53,890,1 -2012,9,1,12,30,955,105,959,2.2,35,27.57,890,1 -2012,9,1,13,30,939,104,954,2.3000000000000003,35,28.98,890,1 -2012,9,1,14,30,858,101,935,2.5,36,36,890,1 -2012,9,1,15,30,718,94,899,2.7,35,46.1,890,1 -2012,9,1,16,30,531,83,834,2.9000000000000004,34,57.6,890,1 -2012,9,1,17,30,315,67,712,2.3000000000000003,32,69.68,890,2 -2012,9,1,18,30,101,39,440,1.7000000000000002,28,81.94,890,5 -2012,9,1,19,30,0,0,0,1.8,25,94.07000000000001,890,6 -2012,9,1,20,30,0,0,0,2.2,25,105.78,890,7 -2012,9,1,21,30,0,0,0,2.5,24,116.69,890,8 -2012,9,1,22,30,0,0,0,3,24,126.18,890,9 -2012,9,1,23,30,0,0,0,3.5,23,133.31,890,9 -2012,9,2,0,30,0,0,0,3.8000000000000003,23,136.84,890,10 -2012,9,2,1,30,0,0,0,3.9000000000000004,22,135.89000000000001,890,10 -2012,9,2,2,30,0,0,0,3.9000000000000004,22,130.71,890,11 -2012,9,2,3,30,0,0,0,4,21,122.46000000000001,890,11 -2012,9,2,4,30,0,0,0,3.9000000000000004,20,112.29,890,11 -2012,9,2,5,30,0,0,0,3.9000000000000004,20,101,890,11 -2012,9,2,6,30,0,0,0,4.3,20,89.08,890,11 -2012,9,2,7,30,175,65,483,4.6000000000000005,23,76.88,890,12 -2012,9,2,8,30,389,94,688,4.9,27,64.68,890,12 -2012,9,2,9,30,591,111,794,5,31,52.81,890,11 -2012,9,2,10,30,757,122,852,4.800000000000001,34,41.82,890,9 -2012,9,2,11,30,871,128,884,4.6000000000000005,35,32.81,890,8 -2012,9,2,12,30,917,147,872,4.4,36,27.92,890,7 -2012,9,2,13,30,903,144,871,4.2,37,29.35,890,7 -2012,9,2,14,30,824,136,854,4.1000000000000005,37,36.35,890,7 -2012,9,2,15,30,694,107,850,4,36,46.410000000000004,880,7 -2012,9,2,16,30,509,95,779,3.8000000000000003,35,57.88,880,7 -2012,9,2,17,30,298,75,649,3,33,69.96000000000001,880,7 -2012,9,2,18,30,91,41,367,2,30,82.21000000000001,890,9 -2012,9,2,19,30,0,0,0,2,27,94.35000000000001,890,10 -2012,9,2,20,30,0,0,0,2.4000000000000004,27,106.08,890,10 -2012,9,2,21,30,0,0,0,3,26,117.01,890,11 -2012,9,2,22,30,0,0,0,3.5,25,126.52,890,11 -2012,9,2,23,30,0,0,0,3.6,25,133.68,890,12 -2012,9,3,0,30,0,0,0,3.7,24,137.21,890,12 -2012,9,3,1,30,0,0,0,3.6,23,136.23,890,12 -2012,9,3,2,30,0,0,0,3.6,22,131,890,12 -2012,9,3,3,30,0,0,0,3.6,22,122.7,890,12 -2012,9,3,4,30,0,0,0,3.6,21,112.49000000000001,890,12 -2012,9,3,5,30,0,0,0,3.6,21,101.17,890,13 -2012,9,3,6,30,0,0,0,3.8000000000000003,22,89.23,890,13 -2012,9,3,7,30,172,60,500,3.9000000000000004,24,77.03,890,14 -2012,9,3,8,30,384,87,698,3.5,28,64.83,890,14 -2012,9,3,9,30,585,103,800,2.8000000000000003,31,52.980000000000004,890,13 -2012,9,3,10,30,749,113,856,2.3000000000000003,34,42.03,890,12 -2012,9,3,11,30,862,119,886,2.4000000000000004,35,33.09,890,11 -2012,9,3,12,30,913,119,901,2.7,36,28.27,890,10 -2012,9,3,13,30,898,119,897,2.8000000000000003,37,29.72,890,10 -2012,9,3,14,30,818,115,877,2.9000000000000004,37,36.69,890,10 -2012,9,3,15,30,682,106,839,2.8000000000000003,36,46.72,880,10 -2012,9,3,16,30,500,93,771,2.8000000000000003,35,58.17,880,9 -2012,9,3,17,30,291,73,645,2.1,33,70.24,880,9 -2012,9,3,18,30,87,40,357,1.4000000000000001,30,82.49,880,10 -2012,9,3,19,30,0,0,0,1.5,28,94.63,890,11 -2012,9,3,20,30,0,0,0,1.8,27,106.38,890,11 -2012,9,3,21,30,0,0,0,2.1,26,117.33,890,12 -2012,9,3,22,30,0,0,0,2.2,25,126.87,890,12 -2012,9,3,23,30,0,0,0,2.2,25,134.05,890,13 -2012,9,4,0,30,0,0,0,2.1,24,137.59,890,13 -2012,9,4,1,30,0,0,0,1.9000000000000001,23,136.57,890,14 -2012,9,4,2,30,0,0,0,1.9000000000000001,23,131.28,890,14 -2012,9,4,3,30,0,0,0,1.9000000000000001,22,122.93,890,14 -2012,9,4,4,30,0,0,0,1.8,21,112.68,890,14 -2012,9,4,5,30,0,0,0,1.6,21,101.33,890,14 -2012,9,4,6,30,0,0,0,2,22,89.38,890,14 -2012,9,4,7,30,163,65,443,2.2,25,77.17,890,14 -2012,9,4,8,30,371,96,650,1.5,29,64.98,890,14 -2012,9,4,9,30,568,114,758,1.1,32,53.15,890,14 -2012,9,4,10,30,731,125,817,1.5,34,42.24,890,13 -2012,9,4,11,30,842,132,849,2,35,33.37,890,13 -2012,9,4,12,30,892,134,863,2.2,36,28.63,890,13 -2012,9,4,13,30,876,134,857,2.3000000000000003,37,30.1,880,13 -2012,9,4,14,30,795,132,830,2.4000000000000004,37,37.04,880,13 -2012,9,4,15,30,661,117,798,2.4000000000000004,36,47.03,880,12 -2012,9,4,16,30,481,104,721,2.5,35,58.46,880,12 -2012,9,4,17,30,142,128,43,2.1,34,70.51,880,12 -2012,9,4,18,30,20,20,0,1.7000000000000002,31,82.77,880,15 -2012,9,4,19,30,0,0,0,2.1,29,94.92,880,16 -2012,9,4,20,30,0,0,0,2.6,28,106.68,880,16 -2012,9,4,21,30,0,0,0,2.9000000000000004,27,117.65,880,15 -2012,9,4,22,30,0,0,0,2.8000000000000003,26,127.22,880,15 -2012,9,4,23,30,0,0,0,2.6,25,134.43,880,16 -2012,9,5,0,30,0,0,0,2.6,25,137.97,880,16 -2012,9,5,1,30,0,0,0,2.8000000000000003,24,136.91,880,15 -2012,9,5,2,30,0,0,0,3.1,24,131.57,880,15 -2012,9,5,3,30,0,0,0,3.1,23,123.16,880,15 -2012,9,5,4,30,0,0,0,2.9000000000000004,23,112.87,880,15 -2012,9,5,5,30,0,0,0,2.4000000000000004,22,101.49000000000001,880,15 -2012,9,5,6,30,0,0,0,2.4000000000000004,23,89.52,880,15 -2012,9,5,7,30,156,74,374,2.7,25,77.31,890,16 -2012,9,5,8,30,362,111,595,2.4000000000000004,28,65.13,890,16 -2012,9,5,9,30,559,132,715,1.7000000000000002,31,53.32,890,16 -2012,9,5,10,30,720,146,779,0.8,34,42.46,890,15 -2012,9,5,11,30,828,158,805,0.8,35,33.65,890,15 -2012,9,5,12,30,892,117,885,1.6,36,28.990000000000002,880,15 -2012,9,5,13,30,872,125,866,2.3000000000000003,35,30.48,880,15 -2012,9,5,14,30,516,400,146,2.7,34,37.38,880,16 -2012,9,5,15,30,30,30,0,2.6,32,47.35,880,17 -2012,9,5,16,30,63,63,0,2.3000000000000003,30,58.75,880,18 -2012,9,5,17,30,40,40,0,1.9000000000000001,28,70.8,890,20 -2012,9,5,18,30,26,26,0,1.7000000000000002,26,83.05,890,20 -2012,9,5,19,30,0,0,0,2,24,95.21000000000001,890,21 -2012,9,5,20,30,0,0,0,2.2,23,106.98,890,20 -2012,9,5,21,30,0,0,0,2.2,22,117.97,890,20 -2012,9,5,22,30,0,0,0,2.3000000000000003,21,127.58,890,20 -2012,9,5,23,30,0,0,0,2.3000000000000003,21,134.8,890,20 -2012,9,6,0,30,0,0,0,2.4000000000000004,21,138.34,890,20 -2012,9,6,1,30,0,0,0,2.4000000000000004,20,137.26,890,20 -2012,9,6,2,30,0,0,0,2.1,20,131.86,890,20 -2012,9,6,3,30,0,0,0,1.8,20,123.39,890,20 -2012,9,6,4,30,0,0,0,1.4000000000000001,20,113.06,890,20 -2012,9,6,5,30,0,0,0,1.3,19,101.66,890,19 -2012,9,6,6,30,0,0,0,1.7000000000000002,20,89.67,890,19 -2012,9,6,7,30,161,62,458,2.4000000000000004,22,77.45,890,19 -2012,9,6,8,30,372,88,680,2.9000000000000004,25,65.28,890,18 -2012,9,6,9,30,572,102,789,3.3000000000000003,28,53.5,890,16 -2012,9,6,10,30,735,111,848,3.5,31,42.68,890,15 -2012,9,6,11,30,846,117,878,3.5,33,33.94,890,15 -2012,9,6,12,30,900,106,911,3.6,34,29.35,890,15 -2012,9,6,13,30,883,107,903,3.8000000000000003,34,30.86,890,14 -2012,9,6,14,30,801,105,879,4,35,37.74,880,14 -2012,9,6,15,30,664,94,846,4.4,34,47.660000000000004,880,14 -2012,9,6,16,30,482,84,773,4.6000000000000005,33,59.050000000000004,880,14 -2012,9,6,17,30,273,67,638,4.3,31,71.08,880,14 -2012,9,6,18,30,74,35,336,3.3000000000000003,28,83.33,880,14 -2012,9,6,19,30,0,0,0,2.9000000000000004,26,95.5,880,15 -2012,9,6,20,30,0,0,0,3,25,107.28,890,14 -2012,9,6,21,30,0,0,0,2.9000000000000004,24,118.3,890,14 -2012,9,6,22,30,0,0,0,2.9000000000000004,24,127.93,890,13 -2012,9,6,23,30,0,0,0,2.9000000000000004,23,135.18,880,13 -2012,9,7,0,30,0,0,0,2.9000000000000004,23,138.72,880,12 -2012,9,7,1,30,0,0,0,2.9000000000000004,22,137.6,880,12 -2012,9,7,2,30,0,0,0,3,22,132.14000000000001,880,12 -2012,9,7,3,30,0,0,0,3.2,21,123.63000000000001,880,12 -2012,9,7,4,30,0,0,0,3.4000000000000004,21,113.25,880,12 -2012,9,7,5,30,0,0,0,3.6,21,101.82000000000001,880,12 -2012,9,7,6,30,0,0,0,3.9000000000000004,22,89.82000000000001,880,12 -2012,9,7,7,30,113,79,158,4.2,24,77.60000000000001,890,12 -2012,9,7,8,30,210,174,86,4.800000000000001,27,65.43,890,12 -2012,9,7,9,30,470,238,392,5.6000000000000005,28,53.67,890,10 -2012,9,7,10,30,734,106,857,6,29,42.9,890,9 -2012,9,7,11,30,629,410,264,6.2,29,34.230000000000004,890,8 -2012,9,7,12,30,295,280,17,6.300000000000001,29,29.71,890,9 -2012,9,7,13,30,429,387,49,6.5,29,31.240000000000002,890,9 -2012,9,7,14,30,672,322,444,6.800000000000001,28,38.09,890,9 -2012,9,7,15,30,562,252,464,7.2,27,47.980000000000004,890,9 -2012,9,7,16,30,325,226,195,7.4,25,59.35,890,9 -2012,9,7,17,30,228,104,387,7.300000000000001,22,71.37,890,9 -2012,9,7,18,30,57,39,165,7,20,83.62,890,9 -2012,9,7,19,30,0,0,0,6.6000000000000005,18,95.79,890,9 -2012,9,7,20,30,0,0,0,6.2,17,107.59,890,9 -2012,9,7,21,30,0,0,0,5.9,17,118.63,890,9 -2012,9,7,22,30,0,0,0,5.6000000000000005,16,128.29,890,10 -2012,9,7,23,30,0,0,0,5.4,16,135.56,890,10 -2012,9,8,0,30,0,0,0,5,15,139.11,890,10 -2012,9,8,1,30,0,0,0,4.4,15,137.95000000000002,900,10 -2012,9,8,2,30,0,0,0,3.4000000000000004,14,132.43,900,10 -2012,9,8,3,30,0,0,0,2.2,14,123.86,900,10 -2012,9,8,4,30,0,0,0,1.2000000000000002,13,113.44,900,10 -2012,9,8,5,30,0,0,0,1,13,101.98,900,10 -2012,9,8,6,30,0,0,0,1.8,13,89.97,900,10 -2012,9,8,7,30,81,76,26,2.9000000000000004,15,77.74,900,9 -2012,9,8,8,30,237,175,151,3.5,18,65.59,900,7 -2012,9,8,9,30,598,82,874,3.6,21,53.85,900,5 -2012,9,8,10,30,768,88,932,3.3000000000000003,22,43.12,900,4 -2012,9,8,11,30,884,91,963,3,24,34.52,900,3 -2012,9,8,12,30,935,96,969,2.7,25,30.080000000000002,890,2 -2012,9,8,13,30,919,94,969,2.3000000000000003,26,31.63,890,2 -2012,9,8,14,30,837,89,954,1.9000000000000001,27,38.45,890,1 -2012,9,8,15,30,695,83,920,1.7000000000000002,26,48.31,890,1 -2012,9,8,16,30,506,73,856,1.5,25,59.65,890,0 -2012,9,8,17,30,288,57,733,1.1,24,71.66,890,0 -2012,9,8,18,30,75,29,429,0.8,21,83.9,890,4 -2012,9,8,19,30,0,0,0,0.9,19,96.08,890,4 -2012,9,8,20,30,0,0,0,1,18,107.9,890,4 -2012,9,8,21,30,0,0,0,1,17,118.96000000000001,890,3 -2012,9,8,22,30,0,0,0,1.1,16,128.64000000000001,890,3 -2012,9,8,23,30,0,0,0,1.1,16,135.94,890,3 -2012,9,9,0,30,0,0,0,1.2000000000000002,15,139.49,890,3 -2012,9,9,1,30,0,0,0,1.2000000000000002,14,138.29,890,3 -2012,9,9,2,30,0,0,0,1.2000000000000002,13,132.72,890,3 -2012,9,9,3,30,0,0,0,1.3,13,124.09,890,3 -2012,9,9,4,30,0,0,0,1.3,12,113.63,890,4 -2012,9,9,5,30,0,0,0,1.4000000000000001,12,102.14,890,4 -2012,9,9,6,30,0,0,0,2.1,13,90.12,890,5 -2012,9,9,7,30,174,47,607,2.7,17,77.89,890,6 -2012,9,9,8,30,397,68,801,1.7000000000000002,21,65.74,890,6 -2012,9,9,9,30,605,80,894,0.9,25,54.03,890,3 -2012,9,9,10,30,775,88,944,1.4000000000000001,26,43.34,890,2 -2012,9,9,11,30,890,93,970,1.8,28,34.82,890,1 -2012,9,9,12,30,938,102,969,2.1,29,30.44,890,1 -2012,9,9,13,30,920,101,966,2.3000000000000003,29,32.02,890,1 -2012,9,9,14,30,837,97,949,2.5,30,38.81,890,0 -2012,9,9,15,30,690,96,897,2.6,29,48.63,890,0 -2012,9,9,16,30,499,84,829,2.6,28,59.95,890,0 -2012,9,9,17,30,280,64,695,1.9000000000000001,26,71.95,890,0 -2012,9,9,18,30,69,31,372,1.4000000000000001,22,84.19,890,4 -2012,9,9,19,30,0,0,0,1.6,19,96.38,890,4 -2012,9,9,20,30,0,0,0,1.8,19,108.21000000000001,890,3 -2012,9,9,21,30,0,0,0,1.9000000000000001,18,119.29,890,3 -2012,9,9,22,30,0,0,0,2,17,129,890,2 -2012,9,9,23,30,0,0,0,2.1,16,136.33,890,2 -2012,9,10,0,30,0,0,0,2.2,16,139.87,890,2 -2012,9,10,1,30,0,0,0,2.3000000000000003,15,138.64000000000001,890,2 -2012,9,10,2,30,0,0,0,2.3000000000000003,15,133,890,3 -2012,9,10,3,30,0,0,0,2.1,14,124.32000000000001,890,3 -2012,9,10,4,30,0,0,0,1.9000000000000001,13,113.82000000000001,890,4 -2012,9,10,5,30,0,0,0,1.8,13,102.31,890,5 -2012,9,10,6,30,0,0,0,2.4000000000000004,14,90.26,890,6 -2012,9,10,7,30,170,47,591,3.1,17,78.03,890,6 -2012,9,10,8,30,388,69,782,4,21,65.9,890,7 -2012,9,10,9,30,590,82,868,5,25,54.21,890,4 -2012,9,10,10,30,753,93,911,5,27,43.57,890,4 -2012,9,10,11,30,860,100,930,5,29,35.12,890,5 -2012,9,10,12,30,906,102,936,5,30,30.810000000000002,890,6 -2012,9,10,13,30,886,102,929,5.1000000000000005,31,32.4,890,6 -2012,9,10,14,30,802,98,907,5.2,32,39.17,890,7 -2012,9,10,15,30,661,91,868,5.2,31,48.96,890,7 -2012,9,10,16,30,475,80,797,5.1000000000000005,30,60.25,890,7 -2012,9,10,17,30,263,62,659,4.2,29,72.24,890,7 -2012,9,10,18,30,61,29,330,3.2,26,84.48,890,7 -2012,9,10,19,30,0,0,0,3.3000000000000003,23,96.67,890,7 -2012,9,10,20,30,0,0,0,3.8000000000000003,22,108.51,890,7 -2012,9,10,21,30,0,0,0,4.1000000000000005,21,119.62,890,7 -2012,9,10,22,30,0,0,0,4.3,20,129.36,890,6 -2012,9,10,23,30,0,0,0,4.4,20,136.71,890,6 -2012,9,11,0,30,0,0,0,4.4,19,140.26,890,5 -2012,9,11,1,30,0,0,0,4.3,19,138.99,890,5 -2012,9,11,2,30,0,0,0,4.3,19,133.29,890,5 -2012,9,11,3,30,0,0,0,4.1000000000000005,18,124.55,890,5 -2012,9,11,4,30,0,0,0,4,18,114.01,890,5 -2012,9,11,5,30,0,0,0,4,18,102.47,890,4 -2012,9,11,6,30,0,0,0,4.3,18,90.41,890,4 -2012,9,11,7,30,155,55,488,5,21,78.18,890,4 -2012,9,11,8,30,367,79,707,6,25,66.05,890,5 -2012,9,11,9,30,568,93,815,6.5,28,54.4,890,6 -2012,9,11,10,30,733,101,875,6.2,31,43.800000000000004,890,7 -2012,9,11,11,30,845,105,908,5.9,33,35.42,890,7 -2012,9,11,12,30,896,107,922,5.9,34,31.18,880,7 -2012,9,11,13,30,880,105,921,6,35,32.79,880,6 -2012,9,11,14,30,798,102,901,6.1000000000000005,35,39.53,880,6 -2012,9,11,15,30,657,94,862,6,34,49.29,880,5 -2012,9,11,16,30,470,84,785,5.800000000000001,33,60.56,880,5 -2012,9,11,17,30,256,66,635,5.2,32,72.53,880,5 -2012,9,11,18,30,56,30,286,4.6000000000000005,29,84.77,880,6 -2012,9,11,19,30,0,0,0,4.5,27,96.97,880,7 -2012,9,11,20,30,0,0,0,4.5,25,108.82000000000001,880,7 -2012,9,11,21,30,0,0,0,4.4,24,119.95,880,7 -2012,9,11,22,30,0,0,0,4.3,24,129.72,880,8 -2012,9,11,23,30,0,0,0,4.3,23,137.1,880,8 -2012,9,12,0,30,0,0,0,4.3,22,140.65,880,8 -2012,9,12,1,30,0,0,0,4.5,22,139.33,880,9 -2012,9,12,2,30,0,0,0,4.6000000000000005,21,133.58,880,9 -2012,9,12,3,30,0,0,0,4.5,21,124.78,880,8 -2012,9,12,4,30,0,0,0,4.2,20,114.2,880,8 -2012,9,12,5,30,0,0,0,3.9000000000000004,19,102.63,890,7 -2012,9,12,6,30,0,0,0,4,20,90.56,890,7 -2012,9,12,7,30,7,7,0,4.6000000000000005,22,78.33,890,8 -2012,9,12,8,30,97,97,0,5.1000000000000005,25,66.21000000000001,890,11 -2012,9,12,9,30,382,264,202,4.800000000000001,27,54.58,890,11 -2012,9,12,10,30,333,303,40,3.8000000000000003,28,44.04,890,12 -2012,9,12,11,30,654,345,380,2.8000000000000003,28,35.72,890,12 -2012,9,12,12,30,754,368,453,2.4000000000000004,28,31.560000000000002,890,12 -2012,9,12,13,30,268,255,15,2.2,27,33.18,890,13 -2012,9,12,14,30,92,92,0,1.7000000000000002,26,39.89,890,14 -2012,9,12,15,30,482,295,288,1.3,24,49.620000000000005,890,15 -2012,9,12,16,30,288,215,148,1.6,22,60.86,890,16 -2012,9,12,17,30,103,101,6,2.3000000000000003,21,72.83,890,16 -2012,9,12,18,30,19,19,0,3,19,85.06,890,16 -2012,9,12,19,30,0,0,0,3.7,18,97.26,890,15 -2012,9,12,20,30,0,0,0,4.3,17,109.14,890,14 -2012,9,12,21,30,0,0,0,4.800000000000001,16,120.28,890,13 -2012,9,12,22,30,0,0,0,5.1000000000000005,15,130.08,890,13 -2012,9,12,23,30,0,0,0,5.5,14,137.48,890,12 -2012,9,13,0,30,0,0,0,5.800000000000001,14,141.03,890,11 -2012,9,13,1,30,0,0,0,5.9,13,139.68,890,11 -2012,9,13,2,30,0,0,0,5.800000000000001,12,133.86,890,11 -2012,9,13,3,30,0,0,0,5.6000000000000005,12,125.01,890,10 -2012,9,13,4,30,0,0,0,5.6000000000000005,11,114.38,890,10 -2012,9,13,5,30,0,0,0,5.6000000000000005,11,102.79,890,10 -2012,9,13,6,30,0,0,0,5.800000000000001,11,90.71000000000001,900,9 -2012,9,13,7,30,7,7,0,6,11,78.48,900,9 -2012,9,13,8,30,46,46,0,6.4,11,66.37,900,9 -2012,9,13,9,30,133,133,0,6.7,12,54.77,900,9 -2012,9,13,10,30,65,65,0,6.800000000000001,14,44.27,900,9 -2012,9,13,11,30,78,78,0,6.7,15,36.03,900,9 -2012,9,13,12,30,201,192,10,6.6000000000000005,15,31.93,900,9 -2012,9,13,13,30,352,328,27,6.5,15,33.58,900,8 -2012,9,13,14,30,387,344,55,6.300000000000001,15,40.26,900,8 -2012,9,13,15,30,387,304,127,6.1000000000000005,15,49.95,900,8 -2012,9,13,16,30,83,83,0,5.9,15,61.17,900,7 -2012,9,13,17,30,243,65,614,5.300000000000001,14,73.12,900,7 -2012,9,13,18,30,48,27,263,4.5,13,85.35000000000001,900,7 -2012,9,13,19,30,0,0,0,3.9000000000000004,12,97.56,900,7 -2012,9,13,20,30,0,0,0,3.7,12,109.45,900,7 -2012,9,13,21,30,0,0,0,3.6,11,120.62,900,7 -2012,9,13,22,30,0,0,0,3.5,10,130.45,900,6 -2012,9,13,23,30,0,0,0,3.4000000000000004,10,137.87,900,6 -2012,9,14,0,30,0,0,0,3.4000000000000004,9,141.42000000000002,900,6 -2012,9,14,1,30,0,0,0,3.4000000000000004,9,140.03,900,6 -2012,9,14,2,30,0,0,0,3.5,8,134.15,900,5 -2012,9,14,3,30,0,0,0,3.5,8,125.24000000000001,900,5 -2012,9,14,4,30,0,0,0,3.5,7,114.57000000000001,900,5 -2012,9,14,5,30,0,0,0,3.5,7,102.96000000000001,900,4 -2012,9,14,6,30,0,0,0,3.8000000000000003,7,90.86,900,4 -2012,9,14,7,30,158,46,569,4.5,10,78.63,900,3 -2012,9,14,8,30,194,165,72,5.1000000000000005,13,66.54,900,2 -2012,9,14,9,30,188,182,9,5.300000000000001,15,54.96,900,1 -2012,9,14,10,30,322,295,37,5.4,18,44.51,900,0 -2012,9,14,11,30,478,397,100,5.300000000000001,19,36.33,900,0 -2012,9,14,12,30,524,427,114,5.1000000000000005,20,32.3,900,1 -2012,9,14,13,30,418,376,51,4.9,20,33.97,900,1 -2012,9,14,14,30,678,288,513,4.6000000000000005,20,40.62,900,2 -2012,9,14,15,30,404,303,157,4.4,20,50.29,900,2 -2012,9,14,16,30,459,78,797,4.3,19,61.480000000000004,890,1 -2012,9,14,17,30,185,101,295,3.3000000000000003,18,73.42,890,1 -2012,9,14,18,30,47,24,304,1.9000000000000001,15,85.65,890,2 -2012,9,14,19,30,0,0,0,1.3,13,97.86,900,3 -2012,9,14,20,30,0,0,0,1.2000000000000002,12,109.76,900,3 -2012,9,14,21,30,0,0,0,1.1,11,120.95,900,3 -2012,9,14,22,30,0,0,0,0.9,11,130.81,900,3 -2012,9,14,23,30,0,0,0,0.9,11,138.26,900,4 -2012,9,15,0,30,0,0,0,0.8,11,141.81,900,3 -2012,9,15,1,30,0,0,0,0.7000000000000001,11,140.38,900,3 -2012,9,15,2,30,0,0,0,0.9,10,134.43,890,3 -2012,9,15,3,30,0,0,0,1,8,125.46000000000001,890,2 -2012,9,15,4,30,0,0,0,1.1,8,114.76,890,2 -2012,9,15,5,30,0,0,0,1.2000000000000002,8,103.12,890,2 -2012,9,15,6,30,0,0,0,2,9,91.02,890,2 -2012,9,15,7,30,155,44,573,2.4000000000000004,11,78.78,890,2 -2012,9,15,8,30,373,65,778,1.8,15,66.7,890,2 -2012,9,15,9,30,577,77,875,1.3,18,55.15,890,2 -2012,9,15,10,30,744,85,928,1,21,44.75,890,2 -2012,9,15,11,30,707,326,474,0.7000000000000001,22,36.64,890,3 -2012,9,15,12,30,794,336,544,0.5,23,32.68,890,3 -2012,9,15,13,30,747,342,490,0.30000000000000004,24,34.36,890,3 -2012,9,15,14,30,591,354,313,0.30000000000000004,25,40.99,890,3 -2012,9,15,15,30,463,289,274,0.5,25,50.620000000000005,890,3 -2012,9,15,16,30,381,159,470,0.7000000000000001,24,61.79,890,2 -2012,9,15,17,30,116,105,39,0.7000000000000001,22,73.72,890,2 -2012,9,15,18,30,21,21,0,0.8,19,85.94,890,7 -2012,9,15,19,30,0,0,0,1,16,98.16,890,6 -2012,9,15,20,30,0,0,0,1.2000000000000002,15,110.07000000000001,890,5 -2012,9,15,21,30,0,0,0,1.4000000000000001,14,121.29,890,5 -2012,9,15,22,30,0,0,0,1.5,13,131.17000000000002,890,5 -2012,9,15,23,30,0,0,0,1.6,12,138.65,890,6 -2012,9,16,0,30,0,0,0,1.7000000000000002,12,142.21,890,6 -2012,9,16,1,30,0,0,0,1.8,11,140.73,890,6 -2012,9,16,2,30,0,0,0,1.7000000000000002,10,134.72,890,5 -2012,9,16,3,30,0,0,0,1.6,10,125.69,890,4 -2012,9,16,4,30,0,0,0,1.5,9,114.95,890,4 -2012,9,16,5,30,0,0,0,1.4000000000000001,9,103.28,890,3 -2012,9,16,6,30,0,0,0,1.7000000000000002,10,91.17,890,2 -2012,9,16,7,30,161,44,611,2.2,13,78.93,890,3 -2012,9,16,8,30,385,65,814,1.7000000000000002,17,66.86,890,3 -2012,9,16,9,30,594,79,906,0.9,22,55.34,890,3 -2012,9,16,10,30,763,89,952,0.8,24,44.99,890,0 -2012,9,16,11,30,875,96,974,0.7000000000000001,26,36.95,890,0 -2012,9,16,12,30,917,111,961,0.7000000000000001,27,33.06,890,0 -2012,9,16,13,30,894,115,947,0.9,27,34.76,890,0 -2012,9,16,14,30,803,115,915,1,28,41.36,890,0 -2012,9,16,15,30,658,99,887,1.2000000000000002,28,50.96,890,0 -2012,9,16,16,30,462,86,805,1.2000000000000002,27,62.11,890,-1 -2012,9,16,17,30,242,63,649,1.1,24,74.02,890,0 -2012,9,16,18,30,40,22,267,1.2000000000000002,20,86.24,890,6 -2012,9,16,19,30,0,0,0,1.6,17,98.46000000000001,890,4 -2012,9,16,20,30,0,0,0,2,16,110.38,890,4 -2012,9,16,21,30,0,0,0,2.3000000000000003,16,121.62,890,5 -2012,9,16,22,30,0,0,0,2.4000000000000004,15,131.54,890,6 -2012,9,16,23,30,0,0,0,2.4000000000000004,14,139.04,890,7 -2012,9,17,0,30,0,0,0,2.2,14,142.6,890,7 -2012,9,17,1,30,0,0,0,2.1,13,141.08,890,6 -2012,9,17,2,30,0,0,0,2,12,135,880,6 -2012,9,17,3,30,0,0,0,2,12,125.92,880,4 -2012,9,17,4,30,0,0,0,1.9000000000000001,11,115.13,880,3 -2012,9,17,5,30,0,0,0,1.8,11,103.44,880,2 -2012,9,17,6,30,0,0,0,2.2,12,91.32000000000001,880,2 -2012,9,17,7,30,149,49,528,2.9000000000000004,15,79.08,880,2 -2012,9,17,8,30,365,79,732,3.3000000000000003,19,67.03,890,2 -2012,9,17,9,30,567,100,825,3.5,22,55.54,890,2 -2012,9,17,10,30,731,112,878,3.4000000000000004,23,45.24,890,2 -2012,9,17,11,30,757,288,589,3.2,24,37.27,890,2 -2012,9,17,12,30,824,277,654,3.2,25,33.44,890,3 -2012,9,17,13,30,816,212,739,3.4000000000000004,26,35.15,880,3 -2012,9,17,14,30,737,196,724,3.8000000000000003,25,41.730000000000004,880,3 -2012,9,17,15,30,560,193,586,4.2,25,51.300000000000004,880,4 -2012,9,17,16,30,439,92,749,4.6000000000000005,24,62.42,880,4 -2012,9,17,17,30,224,68,578,4.5,22,74.32000000000001,890,4 -2012,9,17,18,30,33,22,182,4.1000000000000005,19,86.53,890,5 -2012,9,17,19,30,0,0,0,4,17,98.76,890,6 -2012,9,17,20,30,0,0,0,4,17,110.7,890,7 -2012,9,17,21,30,0,0,0,3.8000000000000003,16,121.96000000000001,890,7 -2012,9,17,22,30,0,0,0,3.6,15,131.9,890,8 -2012,9,17,23,30,0,0,0,3.6,14,139.43,890,8 -2012,9,18,0,30,0,0,0,3.6,13,142.99,890,8 -2012,9,18,1,30,0,0,0,3.5,12,141.42000000000002,890,7 -2012,9,18,2,30,0,0,0,3,11,135.28,890,7 -2012,9,18,3,30,0,0,0,2.4000000000000004,10,126.14,890,6 -2012,9,18,4,30,0,0,0,1.7000000000000002,9,115.32000000000001,890,6 -2012,9,18,5,30,0,0,0,1.1,9,103.60000000000001,890,6 -2012,9,18,6,30,0,0,0,1.2000000000000002,10,91.47,890,6 -2012,9,18,7,30,137,59,418,1.8,12,79.23,890,6 -2012,9,18,8,30,349,93,660,2.2,14,67.2,890,4 -2012,9,18,9,30,553,110,787,2.1,17,55.74,890,3 -2012,9,18,10,30,721,118,860,1.9000000000000001,19,45.480000000000004,890,3 -2012,9,18,11,30,835,120,902,1.9000000000000001,22,37.58,890,3 -2012,9,18,12,30,875,139,885,2,24,33.82,890,3 -2012,9,18,13,30,854,136,882,2.1,25,35.550000000000004,890,4 -2012,9,18,14,30,767,129,859,2.2,26,42.1,890,4 -2012,9,18,15,30,624,114,821,2.2,26,51.64,890,3 -2012,9,18,16,30,434,96,737,2,25,62.74,890,3 -2012,9,18,17,30,220,68,573,1.4000000000000001,23,74.62,890,4 -2012,9,18,18,30,30,20,185,1.2000000000000002,19,86.83,890,8 -2012,9,18,19,30,0,0,0,1.8,18,99.06,890,6 -2012,9,18,20,30,0,0,0,2.6,17,111.01,890,5 -2012,9,18,21,30,0,0,0,3.2,17,122.29,890,5 -2012,9,18,22,30,0,0,0,3.6,16,132.26,890,5 -2012,9,18,23,30,0,0,0,3.7,15,139.83,890,5 -2012,9,19,0,30,0,0,0,3.8000000000000003,15,143.38,890,5 -2012,9,19,1,30,0,0,0,3.9000000000000004,14,141.77,890,5 -2012,9,19,2,30,0,0,0,3.8000000000000003,14,135.56,890,5 -2012,9,19,3,30,0,0,0,3.6,14,126.36,890,5 -2012,9,19,4,30,0,0,0,3.4000000000000004,13,115.5,890,5 -2012,9,19,5,30,0,0,0,3.3000000000000003,13,103.76,890,6 -2012,9,19,6,30,0,0,0,3.6,14,91.62,890,6 -2012,9,19,7,30,141,49,501,4.1000000000000005,16,79.39,890,7 -2012,9,19,8,30,356,76,727,4.5,20,67.36,890,8 -2012,9,19,9,30,560,92,835,5,24,55.94,890,8 -2012,9,19,10,30,726,102,893,5,27,45.730000000000004,890,7 -2012,9,19,11,30,837,108,924,4.5,30,37.9,890,5 -2012,9,19,12,30,877,126,907,3.9000000000000004,31,34.2,890,4 -2012,9,19,13,30,855,125,902,3.3000000000000003,32,35.95,890,3 -2012,9,19,14,30,768,120,878,2.6,33,42.480000000000004,890,2 -2012,9,19,15,30,624,106,841,1.9000000000000001,32,51.980000000000004,890,2 -2012,9,19,16,30,433,89,758,0.9,31,63.050000000000004,890,1 -2012,9,19,17,30,218,65,589,0.4,28,74.92,890,5 -2012,9,19,18,30,27,18,181,0.5,24,87.12,890,9 -2012,9,19,19,30,0,0,0,0.8,22,99.36,890,6 -2012,9,19,20,30,0,0,0,1,21,111.32000000000001,890,6 -2012,9,19,21,30,0,0,0,1.1,20,122.62,890,6 -2012,9,19,22,30,0,0,0,1,20,132.63,890,6 -2012,9,19,23,30,0,0,0,0.8,20,140.22,890,6 -2012,9,20,0,30,0,0,0,0.8,21,143.78,890,5 -2012,9,20,1,30,0,0,0,0.9,20,142.12,890,5 -2012,9,20,2,30,0,0,0,1.1,19,135.84,890,4 -2012,9,20,3,30,0,0,0,1.2000000000000002,17,126.59,890,4 -2012,9,20,4,30,0,0,0,1.3,15,115.69,890,5 -2012,9,20,5,30,0,0,0,1.2000000000000002,13,103.93,890,5 -2012,9,20,6,30,0,0,0,1.4000000000000001,13,91.77,890,5 -2012,9,20,7,30,111,59,290,1.8,15,79.54,890,6 -2012,9,20,8,30,305,113,501,1.8,19,67.53,890,6 -2012,9,20,9,30,536,132,725,1.6,22,56.14,890,6 -2012,9,20,10,30,700,147,795,1.8,25,45.980000000000004,890,6 -2012,9,20,11,30,810,154,834,2.2,28,38.22,890,6 -2012,9,20,12,30,862,144,872,2.4000000000000004,31,34.58,890,5 -2012,9,20,13,30,841,140,870,2.3000000000000003,32,36.35,890,3 -2012,9,20,14,30,755,131,851,2.3000000000000003,33,42.85,880,2 -2012,9,20,15,30,613,111,820,2.4000000000000004,33,52.32,880,2 -2012,9,20,16,30,424,92,741,2.1,32,63.370000000000005,880,1 -2012,9,20,17,30,212,64,579,1.5,28,75.22,880,5 -2012,9,20,18,30,25,17,172,1.5,24,87.42,880,8 -2012,9,20,19,30,0,0,0,1.9000000000000001,22,99.66,880,6 -2012,9,20,20,30,0,0,0,2.2,20,111.63,880,6 -2012,9,20,21,30,0,0,0,2.5,19,122.96000000000001,880,6 -2012,9,20,22,30,0,0,0,2.5,18,132.99,880,6 -2012,9,20,23,30,0,0,0,2.4000000000000004,17,140.61,880,6 -2012,9,21,0,30,0,0,0,2.2,17,144.17000000000002,880,5 -2012,9,21,1,30,0,0,0,2,16,142.47,890,4 -2012,9,21,2,30,0,0,0,1.7000000000000002,15,136.12,890,4 -2012,9,21,3,30,0,0,0,1.4000000000000001,14,126.81,890,5 -2012,9,21,4,30,0,0,0,1.3,13,115.87,890,5 -2012,9,21,5,30,0,0,0,1.3,13,104.09,890,6 -2012,9,21,6,30,0,0,0,1.9000000000000001,14,91.92,890,7 -2012,9,21,7,30,131,54,428,2.5,16,79.7,890,8 -2012,9,21,8,30,340,92,651,2.5,20,67.71000000000001,890,8 -2012,9,21,9,30,538,118,757,3,24,56.34,890,8 -2012,9,21,10,30,698,137,811,3.7,28,46.24,890,7 -2012,9,21,11,30,804,151,835,3.8000000000000003,30,38.54,890,6 -2012,9,21,12,30,857,135,880,3.9000000000000004,31,34.96,890,5 -2012,9,21,13,30,833,135,870,3.9000000000000004,32,36.74,890,5 -2012,9,21,14,30,625,286,464,3.8000000000000003,32,43.22,890,4 -2012,9,21,15,30,596,122,781,3.7,31,52.660000000000004,890,4 -2012,9,21,16,30,407,102,689,3.3000000000000003,30,63.68,890,4 -2012,9,21,17,30,183,69,457,2.3000000000000003,27,75.52,890,5 -2012,9,21,18,30,19,15,114,1.8,23,87.72,890,8 -2012,9,21,19,30,0,0,0,2.1,21,99.96000000000001,890,7 -2012,9,21,20,30,0,0,0,2.2,20,111.94,890,7 -2012,9,21,21,30,0,0,0,2.1,19,123.29,890,7 -2012,9,21,22,30,0,0,0,1.9000000000000001,18,133.35,890,8 -2012,9,21,23,30,0,0,0,1.7000000000000002,17,141,890,8 -2012,9,22,0,30,0,0,0,1.5,16,144.56,890,7 -2012,9,22,1,30,0,0,0,1.3,16,142.82,890,7 -2012,9,22,2,30,0,0,0,1.2000000000000002,16,136.4,890,7 -2012,9,22,3,30,0,0,0,1.1,15,127.03,890,7 -2012,9,22,4,30,0,0,0,1.1,15,116.05,890,7 -2012,9,22,5,30,0,0,0,1,15,104.25,890,6 -2012,9,22,6,30,0,0,0,0.8,16,92.08,890,6 -2012,9,22,7,30,122,59,359,0.6000000000000001,18,79.85000000000001,890,7 -2012,9,22,8,30,166,150,42,0.7000000000000001,22,67.88,890,7 -2012,9,22,9,30,525,127,721,1.7000000000000002,26,56.54,890,6 -2012,9,22,10,30,687,140,795,2.6,29,46.49,890,5 -2012,9,22,11,30,797,145,837,2.7,31,38.87,890,5 -2012,9,22,12,30,836,164,823,2.8000000000000003,32,35.34,890,5 -2012,9,22,13,30,815,160,821,2.9000000000000004,33,37.14,890,4 -2012,9,22,14,30,728,151,797,3,34,43.6,890,4 -2012,9,22,15,30,578,148,714,3,33,53,890,3 -2012,9,22,16,30,392,123,612,2.8000000000000003,32,64,890,3 -2012,9,22,17,30,186,83,420,2.2,28,75.82000000000001,890,4 -2012,9,22,18,30,14,12,58,2.4000000000000004,25,88.01,890,7 -2012,9,22,19,30,0,0,0,3,23,100.26,890,6 -2012,9,22,20,30,0,0,0,3.3000000000000003,22,112.26,890,5 -2012,9,22,21,30,0,0,0,3.2,21,123.62,890,6 -2012,9,22,22,30,0,0,0,2.9000000000000004,20,133.72,890,6 -2012,9,22,23,30,0,0,0,2.6,19,141.4,890,6 -2012,9,23,0,30,0,0,0,2.3000000000000003,18,144.96,890,6 -2012,9,23,1,30,0,0,0,2,17,143.16,890,5 -2012,9,23,2,30,0,0,0,1.7000000000000002,16,136.68,890,5 -2012,9,23,3,30,0,0,0,1.5,14,127.25,890,5 -2012,9,23,4,30,0,0,0,1.2000000000000002,13,116.24000000000001,890,5 -2012,9,23,5,30,0,0,0,1,13,104.41,890,4 -2012,9,23,6,30,0,0,0,1.3,13,92.23,890,4 -2012,9,23,7,30,123,57,381,1.9000000000000001,15,80.01,890,4 -2012,9,23,8,30,330,97,625,2.6,19,68.05,890,4 -2012,9,23,9,30,530,120,748,3.8000000000000003,24,56.75,890,4 -2012,9,23,10,30,693,135,814,5,28,46.75,890,4 -2012,9,23,11,30,801,144,848,5.7,31,39.19,890,2 -2012,9,23,12,30,847,148,860,6,32,35.730000000000004,890,1 -2012,9,23,13,30,825,145,857,6,33,37.54,890,0 -2012,9,23,14,30,738,136,835,5.9,34,43.97,890,0 -2012,9,23,15,30,593,120,793,5.6000000000000005,33,53.34,890,0 -2012,9,23,16,30,405,98,708,5.2,32,64.32000000000001,890,0 -2012,9,23,17,30,194,66,533,4.3,29,76.13,890,0 -2012,9,23,18,30,15,15,0,4,25,88.31,890,1 -2012,9,23,19,30,0,0,0,4.5,23,100.56,890,1 -2012,9,23,20,30,0,0,0,4.800000000000001,22,112.57000000000001,890,1 -2012,9,23,21,30,0,0,0,4.9,21,123.95,890,1 -2012,9,23,22,30,0,0,0,5,20,134.08,890,1 -2012,9,23,23,30,0,0,0,5,20,141.79,890,2 -2012,9,24,0,30,0,0,0,5.1000000000000005,19,145.35,890,3 -2012,9,24,1,30,0,0,0,5.300000000000001,19,143.51,890,4 -2012,9,24,2,30,0,0,0,5.300000000000001,19,136.96,890,5 -2012,9,24,3,30,0,0,0,5.1000000000000005,19,127.47,890,5 -2012,9,24,4,30,0,0,0,4.800000000000001,18,116.42,890,6 -2012,9,24,5,30,0,0,0,4.4,18,104.57000000000001,890,7 -2012,9,24,6,30,0,0,0,4.3,18,92.38,890,7 -2012,9,24,7,30,128,50,458,4.2,19,80.17,890,8 -2012,9,24,8,30,341,81,701,4.800000000000001,21,68.23,890,9 -2012,9,24,9,30,544,99,814,5.5,24,56.96,890,10 -2012,9,24,10,30,707,111,874,5.300000000000001,27,47.01,890,8 -2012,9,24,11,30,815,118,903,4.9,28,39.52,890,7 -2012,9,24,12,30,857,122,909,4.6000000000000005,29,36.11,890,6 -2012,9,24,13,30,833,119,906,4.4,30,37.94,890,6 -2012,9,24,14,30,743,112,883,4.3,31,44.35,880,5 -2012,9,24,15,30,595,102,832,4.2,30,53.68,880,5 -2012,9,24,16,30,403,87,737,3.6,29,64.64,880,5 -2012,9,24,17,30,190,62,546,2.4000000000000004,27,76.43,880,5 -2012,9,24,18,30,13,13,0,2,24,88.60000000000001,880,7 -2012,9,24,19,30,0,0,0,2.5,23,100.85000000000001,880,7 -2012,9,24,20,30,0,0,0,3.3000000000000003,22,112.87,880,6 -2012,9,24,21,30,0,0,0,4,22,124.28,880,6 -2012,9,24,22,30,0,0,0,4.4,21,134.44,880,6 -2012,9,24,23,30,0,0,0,4.4,20,142.18,880,7 -2012,9,25,0,30,0,0,0,4.4,19,145.75,880,7 -2012,9,25,1,30,0,0,0,4.4,18,143.85,880,7 -2012,9,25,2,30,0,0,0,4.1000000000000005,17,137.23,880,8 -2012,9,25,3,30,0,0,0,3.7,17,127.69,880,8 -2012,9,25,4,30,0,0,0,3.1,16,116.60000000000001,880,7 -2012,9,25,5,30,0,0,0,2.3000000000000003,15,104.73,880,7 -2012,9,25,6,30,0,0,0,2.3000000000000003,16,92.54,880,7 -2012,9,25,7,30,116,57,347,2.9000000000000004,18,80.33,880,8 -2012,9,25,8,30,321,97,610,3.2,22,68.41,880,8 -2012,9,25,9,30,365,245,222,3.4000000000000004,26,57.17,880,8 -2012,9,25,10,30,689,117,843,3.7,29,47.27,880,7 -2012,9,25,11,30,804,113,900,4.1000000000000005,31,39.84,880,6 -2012,9,25,12,30,853,109,924,4.5,32,36.49,880,4 -2012,9,25,13,30,831,107,923,4.800000000000001,32,38.33,880,3 -2012,9,25,14,30,741,103,898,4.9,32,44.72,880,2 -2012,9,25,15,30,594,93,852,4.9,31,54.03,880,1 -2012,9,25,16,30,401,80,759,4.4,30,64.95,880,1 -2012,9,25,17,30,187,57,570,3,27,76.73,880,1 -2012,9,25,18,30,11,10,90,1.9000000000000001,23,88.9,880,3 -2012,9,25,19,30,0,0,0,1.9000000000000001,22,101.15,880,4 -2012,9,25,20,30,0,0,0,1.9000000000000001,21,113.18,880,3 -2012,9,25,21,30,0,0,0,1.8,20,124.61,880,3 -2012,9,25,22,30,0,0,0,1.7000000000000002,19,134.8,880,3 -2012,9,25,23,30,0,0,0,1.7000000000000002,18,142.57,880,3 -2012,9,26,0,30,0,0,0,1.8,18,146.14000000000001,880,4 -2012,9,26,1,30,0,0,0,1.9000000000000001,17,144.20000000000002,880,4 -2012,9,26,2,30,0,0,0,1.6,17,137.51,880,4 -2012,9,26,3,30,0,0,0,1.3,16,127.91,880,5 -2012,9,26,4,30,0,0,0,1.2000000000000002,16,116.78,880,5 -2012,9,26,5,30,0,0,0,1.1,15,104.89,890,5 -2012,9,26,6,30,0,0,0,1.3,15,92.69,890,5 -2012,9,26,7,30,83,59,144,1.8,17,80.49,890,5 -2012,9,26,8,30,327,79,679,2,21,68.59,890,6 -2012,9,26,9,30,525,96,795,2,24,57.38,890,6 -2012,9,26,10,30,685,108,854,2.1,27,47.54,890,6 -2012,9,26,11,30,678,301,494,2,28,40.17,890,6 -2012,9,26,12,30,707,330,471,1.9000000000000001,29,36.88,890,7 -2012,9,26,13,30,531,385,186,1.8,30,38.730000000000004,890,7 -2012,9,26,14,30,142,140,2,1.9000000000000001,30,45.09,890,7 -2012,9,26,15,30,564,117,768,2.2,30,54.370000000000005,890,7 -2012,9,26,16,30,376,100,660,2.4000000000000004,29,65.27,890,7 -2012,9,26,17,30,170,69,453,1.9000000000000001,26,77.03,890,7 -2012,9,26,18,30,0,0,0,1.8,24,89.19,890,9 -2012,9,26,19,30,0,0,0,2.6,22,101.45,890,10 -2012,9,26,20,30,0,0,0,3.1,21,113.49000000000001,890,12 -2012,9,26,21,30,0,0,0,3.4000000000000004,20,124.94,890,14 -2012,9,26,22,30,0,0,0,3.4000000000000004,18,135.16,890,16 -2012,9,26,23,30,0,0,0,3,18,142.96,890,17 -2012,9,27,0,30,0,0,0,2.3000000000000003,18,146.53,890,17 -2012,9,27,1,30,0,0,0,1.6,17,144.54,890,17 -2012,9,27,2,30,0,0,0,1,17,137.78,890,17 -2012,9,27,3,30,0,0,0,0.6000000000000001,17,128.13,890,17 -2012,9,27,4,30,0,0,0,0.5,17,116.96000000000001,890,17 -2012,9,27,5,30,0,0,0,0.9,16,105.05,890,16 -2012,9,27,6,30,0,0,0,1.7000000000000002,16,92.85000000000001,890,16 -2012,9,27,7,30,33,33,0,2.3000000000000003,17,80.65,890,17 -2012,9,27,8,30,61,61,0,2.5,18,68.77,890,17 -2012,9,27,9,30,200,191,16,2.5,19,57.6,890,17 -2012,9,27,10,30,403,323,119,2.2,20,47.800000000000004,890,17 -2012,9,27,11,30,682,294,510,1.9000000000000001,21,40.5,890,16 -2012,9,27,12,30,723,320,506,1.5,22,37.26,890,16 -2012,9,27,13,30,678,283,508,1.5,23,39.13,890,16 -2012,9,27,14,30,692,147,776,1.8,23,45.47,890,15 -2012,9,27,15,30,504,179,562,2.1,22,54.71,890,15 -2012,9,27,16,30,322,140,440,2.2,21,65.59,890,15 -2012,9,27,17,30,150,66,379,1.9000000000000001,20,77.33,890,15 -2012,9,27,18,30,0,0,0,1.7000000000000002,19,89.48,890,16 -2012,9,27,19,30,0,0,0,1.9000000000000001,18,101.74000000000001,890,16 -2012,9,27,20,30,0,0,0,2.2,18,113.8,890,16 -2012,9,27,21,30,0,0,0,2.4000000000000004,17,125.27,890,15 -2012,9,27,22,30,0,0,0,2.4000000000000004,17,135.52,890,15 -2012,9,27,23,30,0,0,0,2.4000000000000004,16,143.35,890,15 -2012,9,28,0,30,0,0,0,2.4000000000000004,16,146.93,890,15 -2012,9,28,1,30,0,0,0,2.2,16,144.89000000000001,890,15 -2012,9,28,2,30,0,0,0,1.9000000000000001,16,138.05,890,15 -2012,9,28,3,30,0,0,0,1.6,16,128.34,890,15 -2012,9,28,4,30,0,0,0,1.5,16,117.14,890,15 -2012,9,28,5,30,0,0,0,1.5,16,105.22,890,15 -2012,9,28,6,30,0,0,0,1.7000000000000002,16,93,890,15 -2012,9,28,7,30,18,18,0,2,16,80.81,890,16 -2012,9,28,8,30,261,125,379,2.3000000000000003,17,68.95,890,16 -2012,9,28,9,30,263,229,63,2.2,18,57.81,890,16 -2012,9,28,10,30,385,317,101,1.9000000000000001,19,48.07,890,16 -2012,9,28,11,30,625,341,374,1.7000000000000002,20,40.83,890,16 -2012,9,28,12,30,598,394,257,1.8,20,37.65,890,16 -2012,9,28,13,30,521,390,170,2,21,39.53,890,15 -2012,9,28,14,30,354,313,59,2.2,20,45.84,890,15 -2012,9,28,15,30,170,167,5,2.1,20,55.050000000000004,890,15 -2012,9,28,16,30,94,94,0,1.8,19,65.9,890,15 -2012,9,28,17,30,73,73,1,1.2000000000000002,18,77.63,890,16 -2012,9,28,18,30,0,0,0,0.9,17,89.78,890,16 -2012,9,28,19,30,0,0,0,0.9,17,102.03,890,16 -2012,9,28,20,30,0,0,0,1,16,114.10000000000001,890,16 -2012,9,28,21,30,0,0,0,1.2000000000000002,16,125.59,890,16 -2012,9,28,22,30,0,0,0,1.2000000000000002,16,135.87,890,16 -2012,9,28,23,30,0,0,0,0.9,16,143.74,890,16 -2012,9,29,0,30,0,0,0,0.6000000000000001,16,147.32,890,16 -2012,9,29,1,30,0,0,0,0.5,15,145.23,890,15 -2012,9,29,2,30,0,0,0,0.5,15,138.32,890,15 -2012,9,29,3,30,0,0,0,0.5,15,128.56,890,15 -2012,9,29,4,30,0,0,0,0.6000000000000001,15,117.32000000000001,890,15 -2012,9,29,5,30,0,0,0,0.8,15,105.38,890,15 -2012,9,29,6,30,0,0,0,1.2000000000000002,15,93.16,890,15 -2012,9,29,7,30,31,31,0,1.5,15,80.98,890,15 -2012,9,29,8,30,89,89,0,1.5,16,69.13,890,15 -2012,9,29,9,30,207,196,21,1.5,17,58.03,890,14 -2012,9,29,10,30,368,310,86,1.5,17,48.34,890,14 -2012,9,29,11,30,398,349,64,1.7000000000000002,18,41.160000000000004,890,14 -2012,9,29,12,30,484,394,114,1.9000000000000001,19,38.03,890,14 -2012,9,29,13,30,458,378,104,2.1,19,39.92,890,13 -2012,9,29,14,30,550,312,344,2.3000000000000003,20,46.21,890,13 -2012,9,29,15,30,431,242,332,2.6,20,55.39,890,12 -2012,9,29,16,30,293,150,354,2.7,20,66.22,890,12 -2012,9,29,17,30,116,76,187,1.9000000000000001,18,77.93,890,12 -2012,9,29,18,30,0,0,0,1.1,16,90.07000000000001,890,13 -2012,9,29,19,30,0,0,0,1,15,102.33,890,13 -2012,9,29,20,30,0,0,0,1,15,114.4,890,13 -2012,9,29,21,30,0,0,0,1,14,125.92,890,14 -2012,9,29,22,30,0,0,0,0.9,14,136.23,890,14 -2012,9,29,23,30,0,0,0,0.8,13,144.13,890,13 -2012,9,30,0,30,0,0,0,0.7000000000000001,13,147.71,890,13 -2012,9,30,1,30,0,0,0,0.7000000000000001,13,145.57,890,13 -2012,9,30,2,30,0,0,0,0.5,13,138.59,890,13 -2012,9,30,3,30,0,0,0,0.30000000000000004,13,128.77,890,13 -2012,9,30,4,30,0,0,0,0.5,12,117.5,890,11 -2012,9,30,5,30,0,0,0,1.3,12,105.54,890,11 -2012,9,30,6,30,0,0,0,2.2,12,93.32000000000001,890,11 -2012,9,30,7,30,106,54,334,2.8000000000000003,14,81.14,890,12 -2012,9,30,8,30,308,95,604,2.8000000000000003,16,69.32000000000001,890,13 -2012,9,30,9,30,507,110,754,2.5,19,58.25,890,13 -2012,9,30,10,30,670,115,838,2.3000000000000003,22,48.61,890,13 -2012,9,30,11,30,775,118,878,2.4000000000000004,23,41.5,890,12 -2012,9,30,12,30,819,112,902,2.6,24,38.42,890,12 -2012,9,30,13,30,791,112,889,2.7,24,40.32,890,11 -2012,9,30,14,30,698,111,854,2.8000000000000003,24,46.58,880,11 -2012,9,30,15,30,260,234,45,2.7,23,55.730000000000004,880,11 -2012,9,30,16,30,183,161,55,2.1,22,66.53,880,11 -2012,9,30,17,30,38,38,0,1.2000000000000002,20,78.23,890,13 -2012,9,30,18,30,0,0,0,0.9,18,90.36,890,14 -2012,9,30,19,30,0,0,0,0.8,18,102.62,890,13 -2012,9,30,20,30,0,0,0,0.6000000000000001,18,114.7,890,12 -2012,9,30,21,30,0,0,0,0.4,17,126.24000000000001,890,12 -2012,9,30,22,30,0,0,0,0.7000000000000001,16,136.58,890,12 -2012,9,30,23,30,0,0,0,1,15,144.52,890,12 -2012,10,1,0,30,0,0,0,1.1,14,148.1,890,11 -2012,10,1,1,30,0,0,0,1.2000000000000002,14,145.91,890,11 -2012,10,1,2,30,0,0,0,1.7000000000000002,14,138.86,890,11 -2012,10,1,3,30,0,0,0,2.6,13,128.98,890,11 -2012,10,1,4,30,0,0,0,3.4000000000000004,13,117.68,890,11 -2012,10,1,5,30,0,0,0,3.4000000000000004,12,105.7,890,11 -2012,10,1,6,30,0,0,0,3.4000000000000004,12,93.47,890,11 -2012,10,1,7,30,105,47,385,3.8000000000000003,14,81.31,890,11 -2012,10,1,8,30,307,83,639,4.6000000000000005,17,69.5,890,11 -2012,10,1,9,30,499,108,748,5.9,20,58.47,890,11 -2012,10,1,10,30,656,125,806,6.7,21,48.88,890,10 -2012,10,1,11,30,761,135,840,7.1000000000000005,22,41.83,890,9 -2012,10,1,12,30,814,117,894,7.300000000000001,23,38.800000000000004,890,8 -2012,10,1,13,30,790,115,890,7.4,23,40.71,890,8 -2012,10,1,14,30,698,114,855,7.4,22,46.96,890,7 -2012,10,1,15,30,543,119,759,7,21,56.07,890,7 -2012,10,1,16,30,352,103,634,6.1000000000000005,20,66.85,890,7 -2012,10,1,17,30,148,65,413,4.5,19,78.53,890,7 -2012,10,1,18,30,0,0,0,2.8000000000000003,16,90.65,890,7 -2012,10,1,19,30,0,0,0,2.1,14,102.91,890,7 -2012,10,1,20,30,0,0,0,2,13,115,890,7 -2012,10,1,21,30,0,0,0,1.9000000000000001,12,126.56,890,7 -2012,10,1,22,30,0,0,0,1.8,12,136.93,890,7 -2012,10,1,23,30,0,0,0,1.8,11,144.9,890,7 -2012,10,2,0,30,0,0,0,2,10,148.49,890,6 -2012,10,2,1,30,0,0,0,2.2,9,146.25,890,6 -2012,10,2,2,30,0,0,0,2,8,139.13,890,5 -2012,10,2,3,30,0,0,0,1.5,7,129.19,890,5 -2012,10,2,4,30,0,0,0,1.1,7,117.85000000000001,890,4 -2012,10,2,5,30,0,0,0,1,7,105.86,890,4 -2012,10,2,6,30,0,0,0,1.1,7,93.63,890,3 -2012,10,2,7,30,115,37,528,1.6,9,81.47,890,4 -2012,10,2,8,30,327,61,767,1.7000000000000002,13,69.69,890,4 -2012,10,2,9,30,526,76,867,1.7000000000000002,16,58.69,890,2 -2012,10,2,10,30,685,86,915,2,19,49.15,890,2 -2012,10,2,11,30,789,93,938,2.2,21,42.17,890,4 -2012,10,2,12,30,826,102,934,2.2,22,39.18,890,5 -2012,10,2,13,30,798,103,922,2.2,23,41.1,890,6 -2012,10,2,14,30,705,99,894,2.2,24,47.33,880,6 -2012,10,2,15,30,557,87,848,2.1,25,56.410000000000004,880,6 -2012,10,2,16,30,364,73,751,1.7000000000000002,24,67.16,880,6 -2012,10,2,17,30,154,48,542,1.3,21,78.82000000000001,880,8 -2012,10,2,18,30,0,0,0,1.6,18,90.93,880,9 -2012,10,2,19,30,0,0,0,2.5,17,103.19,880,8 -2012,10,2,20,30,0,0,0,3.4000000000000004,16,115.3,880,7 -2012,10,2,21,30,0,0,0,3.8000000000000003,15,126.87,880,7 -2012,10,2,22,30,0,0,0,3.9000000000000004,14,137.28,880,7 -2012,10,2,23,30,0,0,0,3.9000000000000004,13,145.29,880,7 -2012,10,3,0,30,0,0,0,3.9000000000000004,13,148.88,880,7 -2012,10,3,1,30,0,0,0,3.9000000000000004,12,146.58,880,7 -2012,10,3,2,30,0,0,0,3.9000000000000004,12,139.39000000000001,880,8 -2012,10,3,3,30,0,0,0,3.8000000000000003,11,129.4,880,8 -2012,10,3,4,30,0,0,0,3.7,11,118.03,880,8 -2012,10,3,5,30,0,0,0,3.4000000000000004,10,106.02,880,8 -2012,10,3,6,30,0,0,0,3.4000000000000004,10,93.79,880,8 -2012,10,3,7,30,108,38,480,3.5,12,81.64,880,8 -2012,10,3,8,30,320,64,745,3.7,16,69.88,880,9 -2012,10,3,9,30,522,77,862,4,20,58.92,880,9 -2012,10,3,10,30,684,84,921,4.1000000000000005,23,49.43,880,8 -2012,10,3,11,30,790,88,951,4,26,42.5,880,8 -2012,10,3,12,30,830,91,958,3.7,28,39.57,880,7 -2012,10,3,13,30,803,91,951,3.4000000000000004,29,41.5,880,6 -2012,10,3,14,30,710,86,926,3.3000000000000003,30,47.7,880,5 -2012,10,3,15,30,560,77,880,3.3000000000000003,29,56.75,880,4 -2012,10,3,16,30,366,65,785,3,28,67.47,880,4 -2012,10,3,17,30,153,44,577,2.9000000000000004,24,79.11,880,8 -2012,10,3,18,30,0,0,0,3.8000000000000003,21,91.22,880,8 -2012,10,3,19,30,0,0,0,4.6000000000000005,19,103.48,880,8 -2012,10,3,20,30,0,0,0,4.6000000000000005,18,115.59,880,9 -2012,10,3,21,30,0,0,0,4.5,16,127.19,880,9 -2012,10,3,22,30,0,0,0,4.2,15,137.63,880,9 -2012,10,3,23,30,0,0,0,3.6,15,145.67000000000002,880,9 -2012,10,4,0,30,0,0,0,2.6,14,149.27,880,8 -2012,10,4,1,30,0,0,0,1.9000000000000001,13,146.92000000000002,880,7 -2012,10,4,2,30,0,0,0,3.2,13,139.66,890,5 -2012,10,4,3,30,0,0,0,6.7,12,129.61,890,4 -2012,10,4,4,30,0,0,0,8.9,10,118.21000000000001,890,4 -2012,10,4,5,30,0,0,0,8.8,8,106.18,890,4 -2012,10,4,6,30,0,0,0,8.1,7,93.95,890,1 -2012,10,4,7,30,53,49,25,7.7,7,81.81,890,0 -2012,10,4,8,30,139,129,29,7.300000000000001,8,70.07000000000001,890,0 -2012,10,4,9,30,348,227,235,6.800000000000001,10,59.14,890,0 -2012,10,4,10,30,405,311,144,6.1000000000000005,13,49.7,890,0 -2012,10,4,11,30,624,300,442,5.4,14,42.84,890,0 -2012,10,4,12,30,653,310,446,4.6000000000000005,16,39.95,890,0 -2012,10,4,13,30,789,108,913,3.8000000000000003,17,41.89,890,1 -2012,10,4,14,30,696,103,887,3.2,17,48.06,890,1 -2012,10,4,15,30,544,97,822,2.5,17,57.09,890,1 -2012,10,4,16,30,351,81,714,2,16,67.78,890,1 -2012,10,4,17,30,141,52,488,1.3,14,79.41,890,1 -2012,10,4,18,30,0,0,0,1,12,91.51,890,3 -2012,10,4,19,30,0,0,0,1.3,11,103.76,890,3 -2012,10,4,20,30,0,0,0,1.5,10,115.88,890,3 -2012,10,4,21,30,0,0,0,1.4000000000000001,9,127.5,890,3 -2012,10,4,22,30,0,0,0,1.4000000000000001,9,137.97,890,3 -2012,10,4,23,30,0,0,0,1.5,8,146.05,890,3 -2012,10,5,0,30,0,0,0,1.5,7,149.66,890,3 -2012,10,5,1,30,0,0,0,1.4000000000000001,7,147.25,890,3 -2012,10,5,2,30,0,0,0,1.2000000000000002,6,139.92000000000002,890,3 -2012,10,5,3,30,0,0,0,1,5,129.82,890,2 -2012,10,5,4,30,0,0,0,1,5,118.39,890,2 -2012,10,5,5,30,0,0,0,1.1,5,106.34,890,2 -2012,10,5,6,30,0,0,0,1.6,5,94.11,890,2 -2012,10,5,7,30,98,45,382,2.4000000000000004,6,81.98,890,1 -2012,10,5,8,30,304,79,666,2.5,9,70.26,890,1 -2012,10,5,9,30,504,98,797,1.8,12,59.370000000000005,890,2 -2012,10,5,10,30,510,281,356,1.3,15,49.980000000000004,890,4 -2012,10,5,11,30,479,364,158,1.1,17,43.17,890,5 -2012,10,5,12,30,474,378,125,1.1,18,40.33,890,6 -2012,10,5,13,30,780,116,898,1.2000000000000002,20,42.28,890,6 -2012,10,5,14,30,685,112,863,1.7000000000000002,21,48.43,890,6 -2012,10,5,15,30,534,102,801,2.8000000000000003,20,57.42,890,6 -2012,10,5,16,30,265,139,337,4.1000000000000005,19,68.09,890,5 -2012,10,5,17,30,127,57,391,5,16,79.7,890,5 -2012,10,5,18,30,0,0,0,5.2,14,91.79,890,5 -2012,10,5,19,30,0,0,0,5,12,104.04,890,4 -2012,10,5,20,30,0,0,0,4.6000000000000005,10,116.17,890,3 -2012,10,5,21,30,0,0,0,4.9,8,127.81,890,2 -2012,10,5,22,30,0,0,0,5.5,7,138.31,890,1 -2012,10,5,23,30,0,0,0,5.7,6,146.43,890,0 -2012,10,6,0,30,0,0,0,5.6000000000000005,5,150.05,890,0 -2012,10,6,1,30,0,0,0,5.4,5,147.59,890,-1 -2012,10,6,2,30,0,0,0,5,4,140.18,890,-1 -2012,10,6,3,30,0,0,0,4.5,4,130.03,890,-1 -2012,10,6,4,30,0,0,0,4.1000000000000005,4,118.56,890,-1 -2012,10,6,5,30,0,0,0,3.8000000000000003,4,106.51,890,-2 -2012,10,6,6,30,0,0,0,3.6,4,94.27,890,-2 -2012,10,6,7,30,17,17,0,3.6,4,82.15,890,-2 -2012,10,6,8,30,5,5,0,3.6,5,70.45,890,-2 -2012,10,6,9,30,206,193,25,3.5,5,59.6,890,-2 -2012,10,6,10,30,345,294,79,3.3000000000000003,6,50.26,890,-2 -2012,10,6,11,30,373,330,58,2.8000000000000003,7,43.51,890,-2 -2012,10,6,12,30,317,297,26,2.3000000000000003,8,40.71,890,-1 -2012,10,6,13,30,153,150,4,2,9,42.660000000000004,890,-1 -2012,10,6,14,30,340,298,64,2.1,10,48.79,890,0 -2012,10,6,15,30,272,234,71,2.3000000000000003,10,57.76,890,0 -2012,10,6,16,30,53,53,0,2.6,9,68.4,890,0 -2012,10,6,17,30,44,44,0,3,7,79.99,890,0 -2012,10,6,18,30,0,0,0,3.5,6,92.07000000000001,890,-1 -2012,10,6,19,30,0,0,0,3.7,5,104.32000000000001,890,-1 -2012,10,6,20,30,0,0,0,3.4000000000000004,4,116.46000000000001,890,-1 -2012,10,6,21,30,0,0,0,2.8000000000000003,3,128.12,890,-2 -2012,10,6,22,30,0,0,0,2,2,138.65,890,-2 -2012,10,6,23,30,0,0,0,1.4000000000000001,2,146.81,890,-2 -2012,10,7,0,30,0,0,0,1.8,2,150.43,900,-2 -2012,10,7,1,30,0,0,0,2.4000000000000004,2,147.92000000000002,900,-2 -2012,10,7,2,30,0,0,0,2.3000000000000003,2,140.44,900,-2 -2012,10,7,3,30,0,0,0,2.1,2,130.23,890,-2 -2012,10,7,4,30,0,0,0,2,2,118.74000000000001,890,-2 -2012,10,7,5,30,0,0,0,2.1,2,106.67,890,-2 -2012,10,7,6,30,0,0,0,2.2,2,94.43,890,-2 -2012,10,7,7,30,53,47,44,2.5,2,82.32000000000001,890,-2 -2012,10,7,8,30,153,132,63,2.8000000000000003,3,70.65,890,-2 -2012,10,7,9,30,299,227,142,2.7,4,59.83,890,-2 -2012,10,7,10,30,346,297,75,2.3000000000000003,6,50.54,890,-1 -2012,10,7,11,30,193,187,7,1.7000000000000002,7,43.85,890,-1 -2012,10,7,12,30,349,321,37,1.3,9,41.09,890,-1 -2012,10,7,13,30,324,300,33,1.4000000000000001,10,43.050000000000004,890,-1 -2012,10,7,14,30,248,236,19,1.7000000000000002,11,49.160000000000004,890,0 -2012,10,7,15,30,205,195,20,1.7000000000000002,12,58.09,890,0 -2012,10,7,16,30,152,141,30,1.2000000000000002,11,68.71000000000001,890,0 -2012,10,7,17,30,134,46,522,0.8,9,80.28,890,0 -2012,10,7,18,30,0,0,0,1,7,92.35000000000001,890,0 -2012,10,7,19,30,0,0,0,1.8,5,104.60000000000001,890,0 -2012,10,7,20,30,0,0,0,2.5,5,116.75,890,0 -2012,10,7,21,30,0,0,0,2.7,4,128.42000000000002,890,0 -2012,10,7,22,30,0,0,0,2.7,3,138.99,890,0 -2012,10,7,23,30,0,0,0,2.7,3,147.18,890,0 -2012,10,8,0,30,0,0,0,2.7,3,150.82,890,0 -2012,10,8,1,30,0,0,0,2.8000000000000003,2,148.25,890,0 -2012,10,8,2,30,0,0,0,2.8000000000000003,2,140.69,890,0 -2012,10,8,3,30,0,0,0,2.9000000000000004,2,130.44,890,0 -2012,10,8,4,30,0,0,0,2.9000000000000004,2,118.91,890,0 -2012,10,8,5,30,0,0,0,3.1,2,106.83,890,0 -2012,10,8,6,30,0,0,0,3.4000000000000004,2,94.59,890,0 -2012,10,8,7,30,53,46,53,3.8000000000000003,3,82.49,890,0 -2012,10,8,8,30,227,119,328,4.3,7,70.84,890,0 -2012,10,8,9,30,435,139,594,5,12,60.06,890,1 -2012,10,8,10,30,514,266,393,5.4,15,50.82,890,2 -2012,10,8,11,30,666,250,579,5.5,17,44.18,890,3 -2012,10,8,12,30,640,312,437,5.4,20,41.47,890,3 -2012,10,8,13,30,621,295,448,5.1000000000000005,21,43.44,880,2 -2012,10,8,14,30,530,277,389,4.6000000000000005,22,49.52,880,2 -2012,10,8,15,30,435,186,474,4.1000000000000005,23,58.42,880,1 -2012,10,8,16,30,166,145,60,3,21,69.01,880,1 -2012,10,8,17,30,83,61,133,2.2,18,80.56,880,4 -2012,10,8,18,30,0,0,0,3,16,92.62,880,3 -2012,10,8,19,30,0,0,0,4.3,15,104.87,880,3 -2012,10,8,20,30,0,0,0,4.9,14,117.03,880,4 -2012,10,8,21,30,0,0,0,4.9,13,128.72,880,5 -2012,10,8,22,30,0,0,0,4.800000000000001,12,139.32,880,5 -2012,10,8,23,30,0,0,0,4.6000000000000005,11,147.56,880,6 -2012,10,9,0,30,0,0,0,4.3,11,151.20000000000002,880,6 -2012,10,9,1,30,0,0,0,3.9000000000000004,10,148.58,880,6 -2012,10,9,2,30,0,0,0,3.5,10,140.95000000000002,880,5 -2012,10,9,3,30,0,0,0,3.5,9,130.64000000000001,880,4 -2012,10,9,4,30,0,0,0,3.6,9,119.09,880,2 -2012,10,9,5,30,0,0,0,3.7,9,106.99000000000001,880,0 -2012,10,9,6,30,0,0,0,3.9000000000000004,9,94.76,880,-1 -2012,10,9,7,30,98,33,507,4.4,10,82.67,880,-2 -2012,10,9,8,30,311,58,779,4.4,14,71.04,880,-2 -2012,10,9,9,30,457,106,708,4.1000000000000005,19,60.29,880,-1 -2012,10,9,10,30,551,214,536,4.2,24,51.1,880,-1 -2012,10,9,11,30,698,184,719,3.9000000000000004,27,44.52,880,-2 -2012,10,9,12,30,813,87,974,3.3000000000000003,28,41.85,880,-3 -2012,10,9,13,30,782,87,963,2.8000000000000003,28,43.82,880,-2 -2012,10,9,14,30,684,84,931,2.7,28,49.88,880,-2 -2012,10,9,15,30,494,99,761,3.4000000000000004,27,58.75,880,-1 -2012,10,9,16,30,333,64,760,4.3,24,69.31,880,0 -2012,10,9,17,30,122,41,510,4.7,20,80.84,880,1 -2012,10,9,18,30,0,0,0,4.5,16,92.89,890,2 -2012,10,9,19,30,0,0,0,3.9000000000000004,14,105.14,890,3 -2012,10,9,20,30,0,0,0,3.6,13,117.31,890,3 -2012,10,9,21,30,0,0,0,3.6,11,129.02,890,4 -2012,10,9,22,30,0,0,0,3.6,10,139.65,890,4 -2012,10,9,23,30,0,0,0,3.6,9,147.93,890,3 -2012,10,10,0,30,0,0,0,3.5,8,151.58,890,3 -2012,10,10,1,30,0,0,0,3.3000000000000003,7,148.9,890,2 -2012,10,10,2,30,0,0,0,2.9000000000000004,6,141.20000000000002,890,2 -2012,10,10,3,30,0,0,0,2.4000000000000004,6,130.85,890,2 -2012,10,10,4,30,0,0,0,2,5,119.26,890,1 -2012,10,10,5,30,0,0,0,1.5,5,107.15,890,1 -2012,10,10,6,30,0,0,0,1.3,5,94.92,890,1 -2012,10,10,7,30,87,38,390,1.9000000000000001,6,82.84,890,1 -2012,10,10,8,30,289,69,682,2.9000000000000004,8,71.24,890,0 -2012,10,10,9,30,485,85,812,3.3000000000000003,11,60.52,890,0 -2012,10,10,10,30,644,94,881,3.1,14,51.38,890,0 -2012,10,10,11,30,359,319,56,2.9000000000000004,16,44.86,890,0 -2012,10,10,12,30,417,355,82,2.9000000000000004,18,42.22,890,0 -2012,10,10,13,30,759,103,914,3.1,19,44.2,890,1 -2012,10,10,14,30,666,97,890,3.3000000000000003,20,50.24,890,1 -2012,10,10,15,30,517,85,840,3.4000000000000004,20,59.07,890,2 -2012,10,10,16,30,325,69,734,3.4000000000000004,19,69.61,890,2 -2012,10,10,17,30,118,42,489,2.7,17,81.12,890,3 -2012,10,10,18,30,0,0,0,2.6,14,93.16,890,4 -2012,10,10,19,30,0,0,0,3.3000000000000003,12,105.41,890,4 -2012,10,10,20,30,0,0,0,3.7,11,117.58,890,4 -2012,10,10,21,30,0,0,0,3.7,10,129.31,890,5 -2012,10,10,22,30,0,0,0,3.6,10,139.98,890,6 -2012,10,10,23,30,0,0,0,3.5,9,148.3,890,6 -2012,10,11,0,30,0,0,0,3.5,9,151.96,890,7 -2012,10,11,1,30,0,0,0,3.7,9,149.23,890,8 -2012,10,11,2,30,0,0,0,4,10,141.46,890,9 -2012,10,11,3,30,0,0,0,4.1000000000000005,10,131.05,890,9 -2012,10,11,4,30,0,0,0,4.1000000000000005,11,119.44,890,11 -2012,10,11,5,30,0,0,0,3.8000000000000003,12,107.32000000000001,890,11 -2012,10,11,6,30,0,0,0,3.8000000000000003,12,95.08,890,11 -2012,10,11,7,30,74,47,223,4.3,14,83.02,890,13 -2012,10,11,8,30,263,99,516,5.300000000000001,17,71.44,890,13 -2012,10,11,9,30,452,124,672,5.9,20,60.76,890,15 -2012,10,11,10,30,605,134,758,5.7,22,51.660000000000004,890,15 -2012,10,11,11,30,704,141,798,5.300000000000001,24,45.19,890,14 -2012,10,11,12,30,742,142,815,5,25,42.6,890,14 -2012,10,11,13,30,646,259,542,4.7,26,44.58,890,13 -2012,10,11,14,30,547,230,499,4.800000000000001,27,50.59,890,13 -2012,10,11,15,30,487,96,766,4.9,26,59.4,890,13 -2012,10,11,16,30,301,76,656,4.3,25,69.91,890,13 -2012,10,11,17,30,77,55,149,3,23,81.4,890,13 -2012,10,11,18,30,0,0,0,2.4000000000000004,20,93.43,890,14 -2012,10,11,19,30,0,0,0,2.7,20,105.67,890,14 -2012,10,11,20,30,0,0,0,3,19,117.85000000000001,890,14 -2012,10,11,21,30,0,0,0,3.1,18,129.6,890,15 -2012,10,11,22,30,0,0,0,2.9000000000000004,18,140.3,890,15 -2012,10,11,23,30,0,0,0,2.5,17,148.66,890,15 -2012,10,12,0,30,0,0,0,2.1,16,152.34,890,15 -2012,10,12,1,30,0,0,0,1.9000000000000001,16,149.55,890,15 -2012,10,12,2,30,0,0,0,1.6,15,141.71,890,15 -2012,10,12,3,30,0,0,0,1.1,15,131.25,890,15 -2012,10,12,4,30,0,0,0,0.6000000000000001,14,119.61,890,14 -2012,10,12,5,30,0,0,0,0.8,14,107.48,890,14 -2012,10,12,6,30,0,0,0,0.7000000000000001,14,95.25,890,13 -2012,10,12,7,30,7,7,0,0.5,14,83.19,890,12 -2012,10,12,8,30,6,6,0,1.3,14,71.64,890,12 -2012,10,12,9,30,66,66,0,2.1,14,61,890,12 -2012,10,12,10,30,35,35,0,2.7,16,51.95,890,13 -2012,10,12,11,30,288,270,25,3.8000000000000003,18,45.53,890,13 -2012,10,12,12,30,611,323,393,4.7,21,42.97,890,14 -2012,10,12,13,30,703,142,792,5,22,44.96,890,15 -2012,10,12,14,30,321,282,62,5.300000000000001,23,50.94,890,15 -2012,10,12,15,30,462,125,669,5.300000000000001,23,59.72,890,16 -2012,10,12,16,30,240,122,349,4.9,22,70.2,890,16 -2012,10,12,17,30,91,54,261,4.800000000000001,21,81.68,890,17 -2012,10,12,18,30,0,0,0,5.4,19,93.69,890,17 -2012,10,12,19,30,0,0,0,5.9,19,105.94,890,16 -2012,10,12,20,30,0,0,0,6.1000000000000005,19,118.12,890,16 -2012,10,12,21,30,0,0,0,6.2,19,129.89000000000001,890,16 -2012,10,12,22,30,0,0,0,6.300000000000001,19,140.62,880,16 -2012,10,12,23,30,0,0,0,6.4,18,149.02,880,16 -2012,10,13,0,30,0,0,0,6.4,18,152.71,880,16 -2012,10,13,1,30,0,0,0,6.5,18,149.87,880,16 -2012,10,13,2,30,0,0,0,6.4,17,141.95000000000002,880,16 -2012,10,13,3,30,0,0,0,5.800000000000001,17,131.45,880,17 -2012,10,13,4,30,0,0,0,4.800000000000001,16,119.78,880,16 -2012,10,13,5,30,0,0,0,3.6,15,107.64,880,15 -2012,10,13,6,30,0,0,0,3.1,14,95.41,880,14 -2012,10,13,7,30,82,34,414,3.7,14,83.37,880,14 -2012,10,13,8,30,294,56,763,4.2,15,71.84,880,11 -2012,10,13,9,30,499,64,902,5,18,61.230000000000004,880,7 -2012,10,13,10,30,661,70,965,6.2,21,52.230000000000004,880,1 -2012,10,13,11,30,765,73,994,7,22,45.86,880,-1 -2012,10,13,12,30,804,74,1002,7.4,23,43.34,880,-2 -2012,10,13,13,30,773,73,996,7.5,23,45.33,880,-3 -2012,10,13,14,30,677,69,971,7.4,22,51.300000000000004,880,-4 -2012,10,13,15,30,522,64,917,6.9,22,60.04,880,-5 -2012,10,13,16,30,324,52,812,5.7,21,70.5,880,-4 -2012,10,13,17,30,111,33,555,3.8000000000000003,18,81.95,880,-2 -2012,10,13,18,30,0,0,0,3,15,93.96000000000001,880,0 -2012,10,13,19,30,0,0,0,3.5,15,106.19,880,1 -2012,10,13,20,30,0,0,0,3.9000000000000004,14,118.39,890,1 -2012,10,13,21,30,0,0,0,4,13,130.17000000000002,890,1 -2012,10,13,22,30,0,0,0,3.4000000000000004,12,140.94,890,1 -2012,10,13,23,30,0,0,0,3.2,11,149.38,890,1 -2012,10,14,0,30,0,0,0,3.6,11,153.09,890,1 -2012,10,14,1,30,0,0,0,3.9000000000000004,11,150.19,890,2 -2012,10,14,2,30,0,0,0,3.8000000000000003,10,142.20000000000002,890,2 -2012,10,14,3,30,0,0,0,3.5,9,131.65,890,2 -2012,10,14,4,30,0,0,0,3.1,9,119.95,890,2 -2012,10,14,5,30,0,0,0,2.9000000000000004,9,107.81,890,2 -2012,10,14,6,30,0,0,0,2.9000000000000004,9,95.58,890,2 -2012,10,14,7,30,76,35,365,3.4000000000000004,10,83.55,890,2 -2012,10,14,8,30,276,68,672,3.9000000000000004,14,72.04,890,2 -2012,10,14,9,30,471,85,807,4,17,61.47,890,2 -2012,10,14,10,30,627,95,875,3.9000000000000004,20,52.52,890,1 -2012,10,14,11,30,728,101,907,3.5,21,46.2,890,2 -2012,10,14,12,30,766,102,918,3,22,43.71,890,2 -2012,10,14,13,30,737,101,911,2.3000000000000003,23,45.7,890,3 -2012,10,14,14,30,644,94,885,1.8,24,51.64,890,3 -2012,10,14,15,30,493,85,823,1.6,23,60.36,890,3 -2012,10,14,16,30,301,69,704,1.1,22,70.79,890,3 -2012,10,14,17,30,98,40,431,0.6000000000000001,21,82.22,890,6 -2012,10,14,18,30,0,0,0,0.6000000000000001,18,94.21000000000001,890,4 -2012,10,14,19,30,0,0,0,0.9,16,106.45,890,4 -2012,10,14,20,30,0,0,0,1.1,15,118.65,890,4 -2012,10,14,21,30,0,0,0,1.2000000000000002,13,130.45,890,4 -2012,10,14,22,30,0,0,0,1.3,12,141.25,890,4 -2012,10,14,23,30,0,0,0,1.5,12,149.74,890,4 -2012,10,15,0,30,0,0,0,1.7000000000000002,12,153.46,890,3 -2012,10,15,1,30,0,0,0,2,11,150.5,890,3 -2012,10,15,2,30,0,0,0,2.4000000000000004,11,142.45000000000002,890,3 -2012,10,15,3,30,0,0,0,2.9000000000000004,10,131.84,890,3 -2012,10,15,4,30,0,0,0,3.1,10,120.13,890,2 -2012,10,15,5,30,0,0,0,3.2,9,107.97,890,2 -2012,10,15,6,30,0,0,0,3.5,9,95.74000000000001,890,2 -2012,10,15,7,30,78,32,425,4.1000000000000005,11,83.73,890,2 -2012,10,15,8,30,283,59,736,4.5,14,72.24,890,2 -2012,10,15,9,30,482,72,864,5.6000000000000005,18,61.71,890,3 -2012,10,15,10,30,642,80,928,6.6000000000000005,22,52.800000000000004,890,2 -2012,10,15,11,30,745,84,961,6.5,25,46.53,890,2 -2012,10,15,12,30,783,87,968,6.5,26,44.08,890,2 -2012,10,15,13,30,751,87,957,6.5,26,46.07,890,1 -2012,10,15,14,30,654,84,926,6.300000000000001,26,51.99,880,1 -2012,10,15,15,30,502,75,872,5.9,25,60.67,880,1 -2012,10,15,16,30,306,61,756,5,24,71.07000000000001,880,1 -2012,10,15,17,30,99,36,480,3.9000000000000004,21,82.49,880,2 -2012,10,15,18,30,0,0,0,3.9000000000000004,19,94.47,880,3 -2012,10,15,19,30,0,0,0,4.6000000000000005,18,106.7,880,3 -2012,10,15,20,30,0,0,0,4.9,17,118.9,880,3 -2012,10,15,21,30,0,0,0,5,16,130.73,880,3 -2012,10,15,22,30,0,0,0,4.800000000000001,15,141.56,880,4 -2012,10,15,23,30,0,0,0,4.7,14,150.09,880,4 -2012,10,16,0,30,0,0,0,4.7,13,153.83,880,4 -2012,10,16,1,30,0,0,0,4.6000000000000005,12,150.82,880,3 -2012,10,16,2,30,0,0,0,4.4,11,142.69,880,3 -2012,10,16,3,30,0,0,0,4.1000000000000005,11,132.04,880,3 -2012,10,16,4,30,0,0,0,3.8000000000000003,10,120.3,880,3 -2012,10,16,5,30,0,0,0,3.7,9,108.13,880,2 -2012,10,16,6,30,0,0,0,3.9000000000000004,9,95.91,880,1 -2012,10,16,7,30,79,28,483,4.1000000000000005,10,83.91,880,1 -2012,10,16,8,30,285,52,773,4,14,72.45,880,1 -2012,10,16,9,30,482,64,888,3.5,18,61.95,880,1 -2012,10,16,10,30,639,72,944,3.3000000000000003,21,53.09,880,2 -2012,10,16,11,30,741,76,973,3.1,24,46.87,880,2 -2012,10,16,12,30,778,80,977,3.2,26,44.45,880,2 -2012,10,16,13,30,748,79,971,3.5,27,46.44,880,1 -2012,10,16,14,30,653,74,947,3.6,28,52.33,880,1 -2012,10,16,15,30,501,66,895,3.1,27,60.980000000000004,880,1 -2012,10,16,16,30,306,53,791,1.8,25,71.36,880,1 -2012,10,16,17,30,98,31,532,0.9,22,82.75,880,7 -2012,10,16,18,30,0,0,0,1.1,19,94.72,880,3 -2012,10,16,19,30,0,0,0,1.6,18,106.95,870,3 -2012,10,16,20,30,0,0,0,3.1,18,119.16,870,2 -2012,10,16,21,30,0,0,0,4.7,18,131,870,1 -2012,10,16,22,30,0,0,0,5.1000000000000005,17,141.87,870,0 -2012,10,16,23,30,0,0,0,5.2,16,150.44,870,0 -2012,10,17,0,30,0,0,0,5.5,15,154.19,870,0 -2012,10,17,1,30,0,0,0,5.7,15,151.13,870,0 -2012,10,17,2,30,0,0,0,5.4,14,142.93,870,0 -2012,10,17,3,30,0,0,0,4.7,13,132.24,870,0 -2012,10,17,4,30,0,0,0,3.8000000000000003,12,120.47,880,0 -2012,10,17,5,30,0,0,0,3.3000000000000003,11,108.3,880,0 -2012,10,17,6,30,0,0,0,3.2,11,96.08,880,0 -2012,10,17,7,30,74,28,446,3.8000000000000003,13,84.09,880,1 -2012,10,17,8,30,278,53,754,5.4,16,72.65,880,2 -2012,10,17,9,30,477,65,881,6.300000000000001,17,62.190000000000005,880,1 -2012,10,17,10,30,637,72,948,6.1000000000000005,19,53.370000000000005,880,0 -2012,10,17,11,30,742,75,980,5.7,20,47.2,880,0 -2012,10,17,12,30,779,80,986,5.300000000000001,21,44.81,880,0 -2012,10,17,13,30,748,78,979,4.800000000000001,22,46.800000000000004,880,0 -2012,10,17,14,30,652,73,954,4.2,22,52.67,880,-1 -2012,10,17,15,30,499,65,904,3.7,21,61.29,880,-2 -2012,10,17,16,30,304,53,795,3.1,20,71.64,880,-3 -2012,10,17,17,30,95,31,521,2.2,16,83.01,880,-3 -2012,10,17,18,30,0,0,0,2,13,94.97,880,-2 -2012,10,17,19,30,0,0,0,2.3000000000000003,11,107.19,880,-2 -2012,10,17,20,30,0,0,0,2.4000000000000004,10,119.41,880,-3 -2012,10,17,21,30,0,0,0,2.5,9,131.27,880,-3 -2012,10,17,22,30,0,0,0,2.4000000000000004,8,142.17000000000002,880,-3 -2012,10,17,23,30,0,0,0,2.1,7,150.79,880,-3 -2012,10,18,0,30,0,0,0,1.8,6,154.56,880,-3 -2012,10,18,1,30,0,0,0,1.5,5,151.44,890,-4 -2012,10,18,2,30,0,0,0,1.2000000000000002,5,143.17000000000002,890,-4 -2012,10,18,3,30,0,0,0,1,5,132.43,890,-5 -2012,10,18,4,30,0,0,0,0.9,5,120.64,890,-5 -2012,10,18,5,30,0,0,0,0.5,5,108.46000000000001,890,-6 -2012,10,18,6,30,0,0,0,0.30000000000000004,5,96.25,890,-6 -2012,10,18,7,30,76,27,495,0.6000000000000001,6,84.27,890,-5 -2012,10,18,8,30,284,50,794,0.9,9,72.86,890,-5 -2012,10,18,9,30,483,62,908,1.5,13,62.43,890,-6 -2012,10,18,10,30,641,69,964,2.3000000000000003,16,53.660000000000004,890,-5 -2012,10,18,11,30,743,73,991,2.5,17,47.53,890,-5 -2012,10,18,12,30,779,75,998,2.5,18,45.17,890,-4 -2012,10,18,13,30,747,74,990,2.5,19,47.160000000000004,890,-4 -2012,10,18,14,30,650,70,964,2.5,20,53.01,890,-4 -2012,10,18,15,30,494,68,896,2.3000000000000003,20,61.6,890,-5 -2012,10,18,16,30,298,54,786,1.5,19,71.92,890,-5 -2012,10,18,17,30,91,30,514,0.7000000000000001,16,83.27,890,0 -2012,10,18,18,30,0,0,0,0.8,13,95.21000000000001,890,-1 -2012,10,18,19,30,0,0,0,1.2000000000000002,11,107.43,890,-1 -2012,10,18,20,30,0,0,0,1.3,10,119.65,890,-1 -2012,10,18,21,30,0,0,0,1.3,9,131.53,890,-2 -2012,10,18,22,30,0,0,0,1.2000000000000002,8,142.46,890,-2 -2012,10,18,23,30,0,0,0,1.1,7,151.13,890,-2 -2012,10,19,0,30,0,0,0,1.1,7,154.92000000000002,890,-3 -2012,10,19,1,30,0,0,0,1,7,151.75,890,-3 -2012,10,19,2,30,0,0,0,0.8,7,143.41,890,-4 -2012,10,19,3,30,0,0,0,0.7000000000000001,7,132.62,890,-4 -2012,10,19,4,30,0,0,0,0.7000000000000001,7,120.81,890,-4 -2012,10,19,5,30,0,0,0,0.8,6,108.62,890,-4 -2012,10,19,6,30,0,0,0,0.9,6,96.41,890,-4 -2012,10,19,7,30,69,28,424,1.3,7,84.46000000000001,890,-3 -2012,10,19,8,30,270,56,733,2.2,11,73.07000000000001,890,-2 -2012,10,19,9,30,465,72,855,3.5,15,62.67,890,-2 -2012,10,19,10,30,621,82,916,4.3,18,53.94,890,0 -2012,10,19,11,30,722,87,946,4.3,21,47.86,890,1 -2012,10,19,12,30,762,84,967,4.2,23,45.53,890,1 -2012,10,19,13,30,732,82,962,4.1000000000000005,24,47.52,880,0 -2012,10,19,14,30,636,77,935,4,25,53.34,880,0 -2012,10,19,15,30,483,70,877,3.7,24,61.9,880,0 -2012,10,19,16,30,289,57,758,2.6,22,72.19,880,0 -2012,10,19,17,30,84,31,470,1.6,18,83.52,880,3 -2012,10,19,18,30,0,0,0,1.8,15,95.46000000000001,880,2 -2012,10,19,19,30,0,0,0,2.3000000000000003,14,107.67,880,1 -2012,10,19,20,30,0,0,0,2.8000000000000003,14,119.89,880,1 -2012,10,19,21,30,0,0,0,3.2,13,131.79,880,1 -2012,10,19,22,30,0,0,0,3.6,12,142.75,880,1 -2012,10,19,23,30,0,0,0,4,11,151.47,880,0 -2012,10,20,0,30,0,0,0,4.2,11,155.28,880,0 -2012,10,20,1,30,0,0,0,4.1000000000000005,10,152.05,880,0 -2012,10,20,2,30,0,0,0,3.9000000000000004,9,143.65,880,0 -2012,10,20,3,30,0,0,0,3.7,8,132.82,880,-1 -2012,10,20,4,30,0,0,0,3.8000000000000003,8,120.98,880,-1 -2012,10,20,5,30,0,0,0,3.9000000000000004,8,108.79,880,-2 -2012,10,20,6,30,0,0,0,4,8,96.58,880,-3 -2012,10,20,7,30,72,24,515,4.4,9,84.64,880,-3 -2012,10,20,8,30,280,45,816,4.5,13,73.27,880,-3 -2012,10,20,9,30,480,56,930,4.1000000000000005,17,62.92,880,-2 -2012,10,20,10,30,639,63,985,3.7,21,54.230000000000004,880,-2 -2012,10,20,11,30,742,67,1012,3.5,25,48.19,880,-2 -2012,10,20,12,30,779,72,1017,3.4000000000000004,27,45.89,880,-2 -2012,10,20,13,30,748,70,1010,3.3000000000000003,28,47.88,880,-3 -2012,10,20,14,30,649,66,983,3,29,53.67,880,-4 -2012,10,20,15,30,492,62,919,2.3000000000000003,28,62.2,880,-4 -2012,10,20,16,30,293,51,804,1.3,26,72.46000000000001,880,-2 -2012,10,20,17,30,84,29,514,0.9,23,83.77,880,4 -2012,10,20,18,30,0,0,0,1.2000000000000002,20,95.69,880,0 -2012,10,20,19,30,0,0,0,1.5,17,107.9,880,0 -2012,10,20,20,30,0,0,0,1.7000000000000002,15,120.13,880,0 -2012,10,20,21,30,0,0,0,2,15,132.04,880,0 -2012,10,20,22,30,0,0,0,2.4000000000000004,15,143.04,880,-1 -2012,10,20,23,30,0,0,0,2.7,14,151.8,880,-1 -2012,10,21,0,30,0,0,0,2.8000000000000003,14,155.64000000000001,880,-1 -2012,10,21,1,30,0,0,0,2.9000000000000004,13,152.36,880,-1 -2012,10,21,2,30,0,0,0,3,13,143.88,880,-1 -2012,10,21,3,30,0,0,0,3,12,133.01,880,0 -2012,10,21,4,30,0,0,0,3.1,12,121.16,880,0 -2012,10,21,5,30,0,0,0,3.2,12,108.95,880,1 -2012,10,21,6,30,0,0,0,3.5,12,96.75,880,1 -2012,10,21,7,30,62,27,397,4.3,13,84.83,880,1 -2012,10,21,8,30,261,53,731,4.7,16,73.48,880,1 -2012,10,21,9,30,456,67,861,5,20,63.160000000000004,880,1 -2012,10,21,10,30,612,75,925,5.6000000000000005,25,54.52,880,1 -2012,10,21,11,30,714,78,959,6.1000000000000005,28,48.52,880,1 -2012,10,21,12,30,753,79,974,6.4,29,46.24,880,1 -2012,10,21,13,30,724,75,974,6.7,29,48.230000000000004,880,1 -2012,10,21,14,30,630,71,950,6.9,29,54,880,0 -2012,10,21,15,30,475,65,889,6.9,28,62.49,880,0 -2012,10,21,16,30,279,54,758,6,27,72.73,880,0 -2012,10,21,17,30,76,30,443,4.6000000000000005,24,84.02,880,1 -2012,10,21,18,30,0,0,0,4.2,21,95.93,880,2 -2012,10,21,19,30,0,0,0,4.3,20,108.13,880,2 -2012,10,21,20,30,0,0,0,4.1000000000000005,18,120.36,880,2 -2012,10,21,21,30,0,0,0,4,17,132.29,880,2 -2012,10,21,22,30,0,0,0,3.8000000000000003,17,143.32,880,2 -2012,10,21,23,30,0,0,0,3.7,16,152.13,880,2 -2012,10,22,0,30,0,0,0,4,15,155.99,880,2 -2012,10,22,1,30,0,0,0,4.9,15,152.66,880,2 -2012,10,22,2,30,0,0,0,5.2,16,144.11,880,2 -2012,10,22,3,30,0,0,0,4.7,16,133.2,880,2 -2012,10,22,4,30,0,0,0,4.5,15,121.33,880,2 -2012,10,22,5,30,0,0,0,3.9000000000000004,15,109.12,880,3 -2012,10,22,6,30,0,0,0,2.9000000000000004,14,96.92,880,5 -2012,10,22,7,30,52,28,279,3.1,15,85.01,880,6 -2012,10,22,8,30,253,52,716,4,17,73.69,880,7 -2012,10,22,9,30,446,64,852,4.7,21,63.4,880,7 -2012,10,22,10,30,601,71,918,5.300000000000001,24,54.800000000000004,880,5 -2012,10,22,11,30,700,75,949,5.5,26,48.85,880,3 -2012,10,22,12,30,735,79,954,5.5,27,46.6,880,2 -2012,10,22,13,30,706,78,948,5.4,28,48.58,880,1 -2012,10,22,14,30,613,73,924,5.2,28,54.32,880,1 -2012,10,22,15,30,464,65,872,4.9,27,62.78,880,0 -2012,10,22,16,30,273,52,757,3.7,25,72.99,880,0 -2012,10,22,17,30,73,27,454,2.4000000000000004,22,84.26,880,2 -2012,10,22,18,30,0,0,0,2.4000000000000004,19,96.15,880,3 -2012,10,22,19,30,0,0,0,2.9000000000000004,18,108.35000000000001,880,2 -2012,10,22,20,30,0,0,0,3.4000000000000004,18,120.59,880,2 -2012,10,22,21,30,0,0,0,3.9000000000000004,17,132.53,880,2 -2012,10,22,22,30,0,0,0,4.2,16,143.59,880,2 -2012,10,22,23,30,0,0,0,4.4,15,152.46,880,2 -2012,10,23,0,30,0,0,0,4.3,14,156.34,880,1 -2012,10,23,1,30,0,0,0,4,13,152.96,880,1 -2012,10,23,2,30,0,0,0,3.7,12,144.35,880,1 -2012,10,23,3,30,0,0,0,3.5,12,133.39000000000001,880,1 -2012,10,23,4,30,0,0,0,3.2,12,121.5,880,1 -2012,10,23,5,30,0,0,0,3,11,109.28,880,1 -2012,10,23,6,30,0,0,0,2.9000000000000004,11,97.09,880,1 -2012,10,23,7,30,59,24,426,3.5,13,85.2,880,1 -2012,10,23,8,30,259,48,759,3.7,16,73.9,880,1 -2012,10,23,9,30,454,60,887,3.5,20,63.65,880,2 -2012,10,23,10,30,610,68,947,3.8000000000000003,25,55.08,880,2 -2012,10,23,11,30,711,74,974,4.1000000000000005,27,49.17,880,0 -2012,10,23,12,30,745,80,974,4.2,28,46.94,880,0 -2012,10,23,13,30,714,78,966,4.3,29,48.92,880,0 -2012,10,23,14,30,617,72,942,4.4,30,54.64,880,0 -2012,10,23,15,30,465,63,887,4.2,29,63.07,880,0 -2012,10,23,16,30,272,50,769,3.2,27,73.25,880,0 -2012,10,23,17,30,70,26,459,2.4000000000000004,23,84.5,880,2 -2012,10,23,18,30,0,0,0,2.8000000000000003,20,96.38,880,3 -2012,10,23,19,30,0,0,0,3.6,20,108.57000000000001,880,2 -2012,10,23,20,30,0,0,0,4.4,19,120.81,880,3 -2012,10,23,21,30,0,0,0,4.800000000000001,18,132.77,880,3 -2012,10,23,22,30,0,0,0,5.1000000000000005,17,143.86,880,3 -2012,10,23,23,30,0,0,0,5.2,17,152.78,880,3 -2012,10,24,0,30,0,0,0,4.9,16,156.69,880,2 -2012,10,24,1,30,0,0,0,4.4,15,153.25,880,2 -2012,10,24,2,30,0,0,0,4.1000000000000005,15,144.57,880,2 -2012,10,24,3,30,0,0,0,4.1000000000000005,14,133.58,880,2 -2012,10,24,4,30,0,0,0,4.1000000000000005,14,121.67,880,3 -2012,10,24,5,30,0,0,0,4.1000000000000005,14,109.45,880,4 -2012,10,24,6,30,0,0,0,4,13,97.27,880,5 -2012,10,24,7,30,27,27,6,4,14,85.38,880,5 -2012,10,24,8,30,184,96,321,3.8000000000000003,16,74.11,880,6 -2012,10,24,9,30,354,153,458,3.4000000000000004,18,63.89,880,6 -2012,10,24,10,30,335,267,120,3.5,20,55.370000000000005,880,7 -2012,10,24,11,30,641,155,748,3.8000000000000003,23,49.49,880,7 -2012,10,24,12,30,499,330,249,4.3,25,47.29,880,7 -2012,10,24,13,30,499,305,297,4.9,26,49.26,880,6 -2012,10,24,14,30,591,87,877,5.4,27,54.96,880,6 -2012,10,24,15,30,443,76,817,5.5,27,63.36,880,6 -2012,10,24,16,30,198,97,355,5,26,73.51,880,5 -2012,10,24,17,30,59,29,325,4.4,23,84.74,880,5 -2012,10,24,18,30,0,0,0,4.5,21,96.60000000000001,880,5 -2012,10,24,19,30,0,0,0,5,20,108.79,880,4 -2012,10,24,20,30,0,0,0,5.1000000000000005,19,121.03,880,4 -2012,10,24,21,30,0,0,0,5,17,133,880,4 -2012,10,24,22,30,0,0,0,5.1000000000000005,16,144.13,880,4 -2012,10,24,23,30,0,0,0,4.9,15,153.1,880,4 -2012,10,25,0,30,0,0,0,4.4,14,157.04,880,3 -2012,10,25,1,30,0,0,0,4,13,153.55,880,2 -2012,10,25,2,30,0,0,0,3.9000000000000004,12,144.8,880,0 -2012,10,25,3,30,0,0,0,5,11,133.77,880,0 -2012,10,25,4,30,0,0,0,6.1000000000000005,9,121.84,880,3 -2012,10,25,5,30,0,0,0,6.5,8,109.62,890,4 -2012,10,25,6,30,0,0,0,6.9,6,97.44,890,3 -2012,10,25,7,30,51,29,274,7.2,6,85.57000000000001,890,1 -2012,10,25,8,30,114,103,41,7.300000000000001,6,74.33,890,-1 -2012,10,25,9,30,244,194,113,7.2,7,64.13,890,-2 -2012,10,25,10,30,432,244,332,6.9,8,55.65,890,-3 -2012,10,25,11,30,706,81,967,6.4,10,49.81,890,-3 -2012,10,25,12,30,742,81,980,5.800000000000001,11,47.63,890,-3 -2012,10,25,13,30,708,79,971,5.300000000000001,12,49.6,890,-3 -2012,10,25,14,30,610,74,940,4.9,12,55.27,890,-3 -2012,10,25,15,30,455,68,873,4.6000000000000005,11,63.64,890,-3 -2012,10,25,16,30,239,56,654,4.3,10,73.76,890,-3 -2012,10,25,17,30,63,27,411,3.7,9,84.97,890,-3 -2012,10,25,18,30,0,0,0,3.4000000000000004,7,96.82000000000001,890,-3 -2012,10,25,19,30,0,0,0,3.5,5,109,890,-3 -2012,10,25,20,30,0,0,0,3.3000000000000003,4,121.24000000000001,890,-2 -2012,10,25,21,30,0,0,0,3,4,133.23,890,-2 -2012,10,25,22,30,0,0,0,2.5,3,144.39000000000001,890,-2 -2012,10,25,23,30,0,0,0,2,2,153.41,890,-2 -2012,10,26,0,30,0,0,0,1.8,1,157.38,890,-3 -2012,10,26,1,30,0,0,0,1.6,1,153.84,890,-3 -2012,10,26,2,30,0,0,0,1.4000000000000001,0,145.03,890,-3 -2012,10,26,3,30,0,0,0,1.4000000000000001,0,133.95,890,-3 -2012,10,26,4,30,0,0,0,1.5,0,122.01,890,-4 -2012,10,26,5,30,0,0,0,1.9000000000000001,0,109.78,900,-4 -2012,10,26,6,30,0,0,0,2.4000000000000004,0,97.61,900,-4 -2012,10,26,7,30,50,24,346,3.5,0,85.76,900,-4 -2012,10,26,8,30,245,56,711,4.5,1,74.54,900,-5 -2012,10,26,9,30,440,71,853,4.7,3,64.38,900,-5 -2012,10,26,10,30,597,80,922,4.6000000000000005,6,55.93,900,-6 -2012,10,26,11,30,699,85,957,4.6000000000000005,7,50.13,900,-6 -2012,10,26,12,30,735,87,968,4.5,8,47.97,900,-6 -2012,10,26,13,30,703,86,958,4.4,9,49.93,900,-6 -2012,10,26,14,30,606,81,927,4.3,10,55.58,900,-6 -2012,10,26,15,30,451,72,862,4.1000000000000005,9,63.910000000000004,900,-6 -2012,10,26,16,30,257,57,726,3.7,8,74.01,900,-6 -2012,10,26,17,30,59,27,384,2.6,5,85.19,900,-6 -2012,10,26,18,30,0,0,0,1.8,3,97.03,900,-5 -2012,10,26,19,30,0,0,0,1.8,2,109.2,900,-5 -2012,10,26,20,30,0,0,0,1.7000000000000002,1,121.45,900,-5 -2012,10,26,21,30,0,0,0,1.5,0,133.45,900,-5 -2012,10,26,22,30,0,0,0,1.3,0,144.64000000000001,900,-5 -2012,10,26,23,30,0,0,0,1.2000000000000002,0,153.72,900,-5 -2012,10,27,0,30,0,0,0,1,0,157.72,900,-5 -2012,10,27,1,30,0,0,0,1,-1,154.13,900,-5 -2012,10,27,2,30,0,0,0,1,-1,145.25,900,-5 -2012,10,27,3,30,0,0,0,1,-2,134.14000000000001,890,-5 -2012,10,27,4,30,0,0,0,1.1,-2,122.17,890,-5 -2012,10,27,5,30,0,0,0,1.2000000000000002,-2,109.95,890,-5 -2012,10,27,6,30,0,0,0,1.4000000000000001,-2,97.78,890,-6 -2012,10,27,7,30,49,22,388,2.4000000000000004,-1,85.95,890,-6 -2012,10,27,8,30,246,49,749,3.5,1,74.75,890,-6 -2012,10,27,9,30,441,63,881,3.7,4,64.62,890,-6 -2012,10,27,10,30,597,71,944,3.9000000000000004,7,56.22,890,-6 -2012,10,27,11,30,697,76,976,4,10,50.45,890,-6 -2012,10,27,12,30,732,81,979,4,12,48.31,890,-6 -2012,10,27,13,30,699,80,968,3.8000000000000003,13,50.26,890,-5 -2012,10,27,14,30,602,75,939,3.4000000000000004,14,55.88,890,-6 -2012,10,27,15,30,449,66,877,2.9000000000000004,14,64.19,890,-6 -2012,10,27,16,30,255,52,748,1.9000000000000001,12,74.25,890,-6 -2012,10,27,17,30,57,25,401,1.3,9,85.42,890,-2 -2012,10,27,18,30,0,0,0,1.9000000000000001,6,97.24000000000001,890,-4 -2012,10,27,19,30,0,0,0,2.6,6,109.4,890,-4 -2012,10,27,20,30,0,0,0,2.8000000000000003,5,121.65,890,-5 -2012,10,27,21,30,0,0,0,2.5,3,133.66,890,-5 -2012,10,27,22,30,0,0,0,2,2,144.89000000000001,890,-5 -2012,10,27,23,30,0,0,0,1.9000000000000001,1,154.02,890,-5 -2012,10,28,0,30,0,0,0,1.9000000000000001,1,158.05,890,-5 -2012,10,28,1,30,0,0,0,2.3000000000000003,1,154.41,890,-5 -2012,10,28,2,30,0,0,0,2.5,1,145.47,890,-5 -2012,10,28,3,30,0,0,0,2.2,1,134.32,890,-5 -2012,10,28,4,30,0,0,0,1.9000000000000001,1,122.34,890,-5 -2012,10,28,5,30,0,0,0,1.7000000000000002,0,110.11,890,-5 -2012,10,28,6,30,0,0,0,1.7000000000000002,0,97.96000000000001,890,-5 -2012,10,28,7,30,31,24,104,2.5,1,86.14,890,-5 -2012,10,28,8,30,183,84,381,3.3000000000000003,5,74.96000000000001,890,-5 -2012,10,28,9,30,429,68,848,3.7,9,64.87,890,-5 -2012,10,28,10,30,584,78,916,4.1000000000000005,12,56.5,890,-5 -2012,10,28,11,30,684,83,949,4.4,14,50.77,890,-4 -2012,10,28,12,30,719,88,955,4.6000000000000005,16,48.64,890,-4 -2012,10,28,13,30,686,86,945,4.6000000000000005,17,50.59,890,-4 -2012,10,28,14,30,589,79,917,4.5,17,56.18,890,-4 -2012,10,28,15,30,439,66,863,4.2,16,64.45,890,-4 -2012,10,28,16,30,247,52,729,3.3000000000000003,15,74.49,890,-4 -2012,10,28,17,30,53,24,379,2.3000000000000003,11,85.63,890,-2 -2012,10,28,18,30,0,0,0,2.4000000000000004,9,97.44,890,-2 -2012,10,28,19,30,0,0,0,3,8,109.60000000000001,890,-2 -2012,10,28,20,30,0,0,0,3.5,7,121.84,890,-3 -2012,10,28,21,30,0,0,0,3.7,6,133.87,890,-3 -2012,10,28,22,30,0,0,0,3.8000000000000003,5,145.13,890,-3 -2012,10,28,23,30,0,0,0,3.6,5,154.31,890,-4 -2012,10,29,0,30,0,0,0,3.3000000000000003,4,158.38,890,-4 -2012,10,29,1,30,0,0,0,3,3,154.69,890,-3 -2012,10,29,2,30,0,0,0,2.9000000000000004,3,145.69,890,-3 -2012,10,29,3,30,0,0,0,2.7,2,134.51,890,-3 -2012,10,29,4,30,0,0,0,2.5,2,122.51,890,-2 -2012,10,29,5,30,0,0,0,2.5,2,110.28,890,-2 -2012,10,29,6,30,0,0,0,2.6,2,98.13,890,-2 -2012,10,29,7,30,42,22,319,3.1,3,86.33,890,-1 -2012,10,29,8,30,232,53,702,3.5,6,75.17,890,-1 -2012,10,29,9,30,424,67,846,3.9000000000000004,10,65.11,890,0 -2012,10,29,10,30,578,76,916,4.4,14,56.78,890,0 -2012,10,29,11,30,677,81,949,4.4,17,51.08,890,0 -2012,10,29,12,30,712,82,960,4.4,19,48.97,890,0 -2012,10,29,13,30,680,81,951,4.2,20,50.910000000000004,890,0 -2012,10,29,14,30,584,76,920,3.9000000000000004,21,56.480000000000004,890,0 -2012,10,29,15,30,433,65,861,3.3000000000000003,21,64.72,890,0 -2012,10,29,16,30,243,51,729,2.2,19,74.73,890,0 -2012,10,29,17,30,50,23,374,1.5,15,85.85000000000001,890,2 -2012,10,29,18,30,0,0,0,1.8,12,97.64,890,1 -2012,10,29,19,30,0,0,0,2.2,11,109.79,890,0 -2012,10,29,20,30,0,0,0,2.5,11,122.04,890,0 -2012,10,29,21,30,0,0,0,2.7,10,134.08,890,0 -2012,10,29,22,30,0,0,0,2.5,9,145.37,890,0 -2012,10,29,23,30,0,0,0,2,8,154.6,890,1 -2012,10,30,0,30,0,0,0,1.6,7,158.71,890,1 -2012,10,30,1,30,0,0,0,1.2000000000000002,6,154.97,890,1 -2012,10,30,2,30,0,0,0,1.1,6,145.91,890,1 -2012,10,30,3,30,0,0,0,1.1,6,134.69,890,1 -2012,10,30,4,30,0,0,0,1.1,6,122.68,890,0 -2012,10,30,5,30,0,0,0,1.2000000000000002,6,110.45,890,0 -2012,10,30,6,30,0,0,0,1.2000000000000002,6,98.31,890,0 -2012,10,30,7,30,41,19,359,1.4000000000000001,8,86.52,890,0 -2012,10,30,8,30,233,46,740,1.9000000000000001,12,75.39,890,0 -2012,10,30,9,30,425,59,877,1.8,16,65.35,890,-1 -2012,10,30,10,30,578,67,940,1.8,21,57.050000000000004,890,0 -2012,10,30,11,30,677,71,970,2.2,23,51.39,890,-1 -2012,10,30,12,30,707,84,956,2,24,49.300000000000004,890,-1 -2012,10,30,13,30,675,82,946,1.7000000000000002,25,51.230000000000004,890,-1 -2012,10,30,14,30,578,77,914,1.5,25,56.77,890,-1 -2012,10,30,15,30,427,66,854,1.3,24,64.98,890,-1 -2012,10,30,16,30,238,51,720,0.9,22,74.96000000000001,890,0 -2012,10,30,17,30,46,22,359,0.6000000000000001,20,86.05,890,3 -2012,10,30,18,30,0,0,0,0.6000000000000001,18,97.83,890,0 -2012,10,30,19,30,0,0,0,0.6000000000000001,16,109.97,890,0 -2012,10,30,20,30,0,0,0,0.6000000000000001,15,122.22,890,0 -2012,10,30,21,30,0,0,0,0.7000000000000001,13,134.28,890,0 -2012,10,30,22,30,0,0,0,0.8,12,145.6,890,0 -2012,10,30,23,30,0,0,0,0.9,11,154.89000000000001,890,1 -2012,10,31,0,30,0,0,0,1,10,159.04,890,1 -2012,10,31,1,30,0,0,0,1,9,155.25,890,2 -2012,10,31,2,30,0,0,0,0.9,9,146.13,890,2 -2012,10,31,3,30,0,0,0,0.7000000000000001,9,134.87,890,2 -2012,10,31,4,30,0,0,0,0.4,10,122.85000000000001,890,2 -2012,10,31,5,30,0,0,0,0.5,9,110.61,890,2 -2012,10,31,6,30,0,0,0,0.9,9,98.48,890,2 -2012,10,31,7,30,38,19,339,1.1,10,86.71000000000001,890,1 -2012,10,31,8,30,225,46,719,1.4000000000000001,13,75.60000000000001,890,2 -2012,10,31,9,30,414,61,855,1.7000000000000002,17,65.59,890,1 -2012,10,31,10,30,567,70,919,2.1,21,57.33,890,1 -2012,10,31,11,30,665,75,951,2.7,24,51.7,890,0 -2012,10,31,12,30,700,79,959,2.8000000000000003,25,49.620000000000005,890,0 -2012,10,31,13,30,669,77,951,2.9000000000000004,26,51.54,890,-1 -2012,10,31,14,30,573,73,920,3,26,57.050000000000004,890,-1 -2012,10,31,15,30,424,62,865,2.8000000000000003,25,65.23,890,-2 -2012,10,31,16,30,235,48,730,1.9000000000000001,22,75.18,890,-1 -2012,10,31,17,30,45,21,365,1.4000000000000001,18,86.26,890,3 -2012,10,31,18,30,0,0,0,1.7000000000000002,15,98.02,890,1 -2012,10,31,19,30,0,0,0,1.9000000000000001,14,110.15,890,0 -2012,10,31,20,30,0,0,0,2.2,13,122.4,890,0 -2012,10,31,21,30,0,0,0,2.6,13,134.47,890,0 -2012,10,31,22,30,0,0,0,3.2,12,145.82,890,0 -2012,10,31,23,30,0,0,0,3.7,12,155.17000000000002,890,0 -2012,11,1,0,30,0,0,0,3.9000000000000004,11,159.36,890,0 -2012,11,1,1,30,0,0,0,3.9000000000000004,10,155.53,890,0 -2012,11,1,2,30,0,0,0,3.9000000000000004,9,146.34,890,0 -2012,11,1,3,30,0,0,0,3.7,9,135.06,890,0 -2012,11,1,4,30,0,0,0,3.4000000000000004,8,123.02,890,0 -2012,11,1,5,30,0,0,0,3.2,8,110.78,890,0 -2012,11,1,6,30,0,0,0,3,8,98.66,890,0 -2012,11,1,7,30,35,19,293,3.5,9,86.9,890,0 -2012,11,1,8,30,222,51,698,3.8000000000000003,13,75.81,890,0 -2012,11,1,9,30,414,67,848,3.2,17,65.84,890,0 -2012,11,1,10,30,568,76,919,3.3000000000000003,21,57.61,890,0 -2012,11,1,11,30,667,81,952,3.6,25,52,890,0 -2012,11,1,12,30,701,83,961,3.7,26,49.94,890,0 -2012,11,1,13,30,668,82,947,4,27,51.85,890,-1 -2012,11,1,14,30,570,79,910,4.1000000000000005,27,57.33,880,-1 -2012,11,1,15,30,417,71,833,3.8000000000000003,26,65.48,880,-1 -2012,11,1,16,30,228,55,686,2.6,23,75.4,880,-1 -2012,11,1,17,30,40,22,305,1.8,19,86.46000000000001,880,1 -2012,11,1,18,30,0,0,0,2,16,98.2,880,0 -2012,11,1,19,30,0,0,0,2.5,15,110.33,880,0 -2012,11,1,20,30,0,0,0,3.4000000000000004,15,122.58,880,0 -2012,11,1,21,30,0,0,0,4.2,14,134.66,880,0 -2012,11,1,22,30,0,0,0,4.6000000000000005,13,146.04,880,0 -2012,11,1,23,30,0,0,0,4.800000000000001,12,155.44,880,0 -2012,11,2,0,30,0,0,0,4.7,11,159.67000000000002,880,0 -2012,11,2,1,30,0,0,0,4.4,10,155.8,880,0 -2012,11,2,2,30,0,0,0,4.1000000000000005,10,146.56,880,0 -2012,11,2,3,30,0,0,0,3.9000000000000004,9,135.24,880,0 -2012,11,2,4,30,0,0,0,3.9000000000000004,9,123.19,880,0 -2012,11,2,5,30,0,0,0,3.8000000000000003,8,110.95,880,0 -2012,11,2,6,30,0,0,0,3.8000000000000003,8,98.83,880,0 -2012,11,2,7,30,34,19,298,4.1000000000000005,9,87.09,880,-1 -2012,11,2,8,30,224,51,716,4.4,11,76.03,880,-3 -2012,11,2,9,30,417,66,865,4,15,66.08,880,-4 -2012,11,2,10,30,572,76,934,3.8000000000000003,20,57.88,880,-5 -2012,11,2,11,30,672,81,966,3.6,24,52.300000000000004,880,-7 -2012,11,2,12,30,705,86,969,3.2,26,50.25,880,-9 -2012,11,2,13,30,672,85,958,3,27,52.15,880,-9 -2012,11,2,14,30,575,80,923,2.9000000000000004,27,57.61,880,-8 -2012,11,2,15,30,421,70,853,2.2,26,65.72,880,-8 -2012,11,2,16,30,228,54,702,1.3,23,75.62,880,-4 -2012,11,2,17,30,38,21,300,1.2000000000000002,19,86.65,880,0 -2012,11,2,18,30,0,0,0,2,16,98.38,880,-1 -2012,11,2,19,30,0,0,0,3.4000000000000004,14,110.49000000000001,890,0 -2012,11,2,20,30,0,0,0,4.3,13,122.75,890,0 -2012,11,2,21,30,0,0,0,4,12,134.84,890,2 -2012,11,2,22,30,0,0,0,3.5,10,146.25,890,2 -2012,11,2,23,30,0,0,0,3.1,9,155.71,890,3 -2012,11,3,0,30,0,0,0,3.1,8,159.99,890,2 -2012,11,3,1,30,0,0,0,3,7,156.07,890,2 -2012,11,3,2,30,0,0,0,2.9000000000000004,6,146.77,890,1 -2012,11,3,3,30,0,0,0,2.7,5,135.42000000000002,890,1 -2012,11,3,4,30,0,0,0,2.6,5,123.35000000000001,890,1 -2012,11,3,5,30,0,0,0,2.6,4,111.12,890,1 -2012,11,3,6,30,0,0,0,2.6,4,99.01,890,0 -2012,11,3,7,30,25,25,0,3,4,87.28,890,0 -2012,11,3,8,30,174,69,440,3.7,6,76.24,890,0 -2012,11,3,9,30,336,121,535,3.9000000000000004,9,66.32000000000001,890,0 -2012,11,3,10,30,461,165,559,3.9000000000000004,11,58.15,890,0 -2012,11,3,11,30,575,165,674,4.1000000000000005,14,52.6,890,0 -2012,11,3,12,30,588,200,611,4,16,50.56,890,0 -2012,11,3,13,30,571,175,650,3.6,17,52.45,890,-1 -2012,11,3,14,30,512,139,702,3,18,57.88,890,-1 -2012,11,3,15,30,307,152,380,2.7,17,65.96000000000001,890,-1 -2012,11,3,16,30,37,37,0,2,15,75.83,890,-1 -2012,11,3,17,30,6,6,0,1.4000000000000001,12,86.84,890,0 -2012,11,3,18,30,0,0,0,1.6,10,98.55,890,0 -2012,11,3,19,30,0,0,0,1.8,9,110.66,890,-1 -2012,11,3,20,30,0,0,0,1.9000000000000001,8,122.91,890,-2 -2012,11,3,21,30,0,0,0,1.9000000000000001,7,135.01,890,-2 -2012,11,3,22,30,0,0,0,1.8,6,146.45000000000002,890,-2 -2012,11,3,23,30,0,0,0,1.6,6,155.97,890,-2 -2012,11,4,0,30,0,0,0,1.4000000000000001,5,160.29,890,-2 -2012,11,4,1,30,0,0,0,1.2000000000000002,5,156.33,890,-2 -2012,11,4,2,30,0,0,0,1.1,4,146.98,890,-2 -2012,11,4,3,30,0,0,0,1.1,4,135.6,890,-2 -2012,11,4,4,30,0,0,0,1.1,4,123.52,890,-2 -2012,11,4,5,30,0,0,0,1.1,3,111.28,890,-1 -2012,11,4,6,30,0,0,0,1.1,3,99.18,890,-1 -2012,11,4,7,30,26,17,220,1.7000000000000002,4,87.47,890,0 -2012,11,4,8,30,204,53,645,2.5,8,76.45,890,0 -2012,11,4,9,30,391,70,808,3.2,12,66.56,890,1 -2012,11,4,10,30,543,79,887,3.7,15,58.42,890,3 -2012,11,4,11,30,642,83,926,3.9000000000000004,18,52.9,890,4 -2012,11,4,12,30,676,87,933,3.9000000000000004,21,50.870000000000005,890,3 -2012,11,4,13,30,645,84,926,3.8000000000000003,22,52.75,890,1 -2012,11,4,14,30,551,78,895,3.5,23,58.15,890,0 -2012,11,4,15,30,403,67,830,2.8000000000000003,22,66.2,890,-2 -2012,11,4,16,30,217,50,689,1.6,20,76.04,890,-2 -2012,11,4,17,30,34,18,296,0.9,18,87.02,890,1 -2012,11,4,18,30,0,0,0,0.7000000000000001,17,98.72,890,-2 -2012,11,4,19,30,0,0,0,0.6000000000000001,16,110.82000000000001,890,-3 -2012,11,4,20,30,0,0,0,0.5,15,123.07000000000001,890,-3 -2012,11,4,21,30,0,0,0,0.4,14,135.18,890,-3 -2012,11,4,22,30,0,0,0,0.8,11,146.65,890,-3 -2012,11,4,23,30,0,0,0,1.5,9,156.22,890,-2 -2012,11,5,0,30,0,0,0,2.5,9,160.6,890,-2 -2012,11,5,1,30,0,0,0,3.8000000000000003,8,156.6,890,-2 -2012,11,5,2,30,0,0,0,4.4,7,147.19,890,-1 -2012,11,5,3,30,0,0,0,4.2,7,135.77,890,-1 -2012,11,5,4,30,0,0,0,3.9000000000000004,6,123.69,890,-1 -2012,11,5,5,30,0,0,0,3.7,6,111.45,890,-1 -2012,11,5,6,30,0,0,0,3.6,5,99.36,890,-1 -2012,11,5,7,30,25,15,242,3.8000000000000003,6,87.66,890,0 -2012,11,5,8,30,203,47,675,4.3,9,76.66,890,0 -2012,11,5,9,30,389,63,828,4.7,12,66.8,890,0 -2012,11,5,10,30,434,191,466,4.7,15,58.69,890,0 -2012,11,5,11,30,637,75,937,4.2,16,53.19,890,0 -2012,11,5,12,30,671,76,948,3.7,18,51.17,890,0 -2012,11,5,13,30,577,152,707,3.3000000000000003,19,53.04,890,0 -2012,11,5,14,30,431,200,442,3,19,58.410000000000004,890,0 -2012,11,5,15,30,383,60,807,2.6,19,66.43,890,0 -2012,11,5,16,30,211,48,688,1.6,17,76.24,890,0 -2012,11,5,17,30,31,17,289,0.5,15,87.2,890,1 -2012,11,5,18,30,0,0,0,0.5,14,98.88,890,0 -2012,11,5,19,30,0,0,0,1,12,110.97,890,0 -2012,11,5,20,30,0,0,0,1.2000000000000002,10,123.22,890,0 -2012,11,5,21,30,0,0,0,1.2000000000000002,9,135.34,890,0 -2012,11,5,22,30,0,0,0,1.2000000000000002,8,146.84,890,0 -2012,11,5,23,30,0,0,0,1.4000000000000001,7,156.47,890,0 -2012,11,6,0,30,0,0,0,1.6,7,160.9,890,0 -2012,11,6,1,30,0,0,0,1.9000000000000001,7,156.86,890,0 -2012,11,6,2,30,0,0,0,2.1,6,147.39000000000001,890,-1 -2012,11,6,3,30,0,0,0,2,6,135.95,890,-1 -2012,11,6,4,30,0,0,0,2,6,123.85000000000001,890,-2 -2012,11,6,5,30,0,0,0,2,5,111.62,890,-2 -2012,11,6,6,30,0,0,0,2,5,99.53,890,-2 -2012,11,6,7,30,24,14,251,2.4000000000000004,7,87.85000000000001,890,-2 -2012,11,6,8,30,201,46,685,3,11,76.88,890,-2 -2012,11,6,9,30,387,61,836,2.7,15,67.04,890,-2 -2012,11,6,10,30,537,71,905,2.4000000000000004,19,58.96,890,-1 -2012,11,6,11,30,634,76,937,2.9000000000000004,23,53.480000000000004,890,-1 -2012,11,6,12,30,668,77,949,3.2,24,51.47,890,0 -2012,11,6,13,30,636,75,939,3,24,53.32,890,0 -2012,11,6,14,30,541,70,905,2.9000000000000004,23,58.67,890,0 -2012,11,6,15,30,393,60,839,2.6,22,66.65,890,0 -2012,11,6,16,30,208,46,694,1.9000000000000001,20,76.43,890,0 -2012,11,6,17,30,29,16,289,1.5,16,87.37,890,3 -2012,11,6,18,30,0,0,0,1.7000000000000002,13,99.04,890,3 -2012,11,6,19,30,0,0,0,1.8,12,111.12,890,3 -2012,11,6,20,30,0,0,0,1.7000000000000002,11,123.36,890,3 -2012,11,6,21,30,0,0,0,1.6,10,135.5,890,4 -2012,11,6,22,30,0,0,0,1.6,9,147.02,890,4 -2012,11,6,23,30,0,0,0,1.6,8,156.71,890,4 -2012,11,7,0,30,0,0,0,1.6,8,161.19,890,4 -2012,11,7,1,30,0,0,0,1.6,7,157.12,890,4 -2012,11,7,2,30,0,0,0,1.6,7,147.6,890,4 -2012,11,7,3,30,0,0,0,1.7000000000000002,7,136.13,890,3 -2012,11,7,4,30,0,0,0,1.8,6,124.02,890,3 -2012,11,7,5,30,0,0,0,2,6,111.79,890,3 -2012,11,7,6,30,0,0,0,2.3000000000000003,6,99.71000000000001,890,3 -2012,11,7,7,30,22,14,230,3.2,7,88.04,890,2 -2012,11,7,8,30,198,46,679,3.9000000000000004,10,77.09,890,1 -2012,11,7,9,30,385,61,838,4.3,14,67.27,890,1 -2012,11,7,10,30,537,69,914,5.1000000000000005,19,59.22,890,1 -2012,11,7,11,30,636,73,951,5.6000000000000005,22,53.77,890,0 -2012,11,7,12,30,671,77,958,5.6000000000000005,24,51.76,890,0 -2012,11,7,13,30,640,75,951,5.5,25,53.6,890,0 -2012,11,7,14,30,545,70,920,5.4,26,58.92,890,0 -2012,11,7,15,30,397,60,859,4.800000000000001,25,66.87,890,-1 -2012,11,7,16,30,210,45,713,3.5,22,76.62,890,-1 -2012,11,7,17,30,28,16,298,2.7,18,87.54,890,0 -2012,11,7,18,30,0,0,0,3.4000000000000004,16,99.19,890,0 -2012,11,7,19,30,0,0,0,4.2,16,111.26,890,0 -2012,11,7,20,30,0,0,0,4.6000000000000005,15,123.5,890,0 -2012,11,7,21,30,0,0,0,4.7,13,135.64000000000001,890,0 -2012,11,7,22,30,0,0,0,4.7,12,147.20000000000002,880,0 -2012,11,7,23,30,0,0,0,4.7,11,156.94,880,0 -2012,11,8,0,30,0,0,0,4.4,10,161.48,880,0 -2012,11,8,1,30,0,0,0,3.8000000000000003,9,157.37,880,-1 -2012,11,8,2,30,0,0,0,3.5,9,147.8,880,-1 -2012,11,8,3,30,0,0,0,3.4000000000000004,9,136.3,880,-2 -2012,11,8,4,30,0,0,0,3.5,9,124.19,880,-3 -2012,11,8,5,30,0,0,0,3.5,8,111.95,880,-4 -2012,11,8,6,30,0,0,0,3.6,8,99.89,880,-4 -2012,11,8,7,30,21,13,263,4.1000000000000005,9,88.23,880,-5 -2012,11,8,8,30,129,82,214,4.5,11,77.3,880,-5 -2012,11,8,9,30,271,152,311,4.1000000000000005,15,67.51,880,-5 -2012,11,8,10,30,464,130,657,3.9000000000000004,20,59.480000000000004,880,-4 -2012,11,8,11,30,512,206,520,4.3,24,54.050000000000004,880,-4 -2012,11,8,12,30,452,290,263,4.6000000000000005,26,52.050000000000004,880,-6 -2012,11,8,13,30,444,269,296,4.800000000000001,27,53.870000000000005,880,-6 -2012,11,8,14,30,217,203,27,4.3,26,59.160000000000004,880,-6 -2012,11,8,15,30,383,78,785,3,24,67.09,880,-5 -2012,11,8,16,30,197,58,611,2.1,21,76.81,880,-1 -2012,11,8,17,30,24,24,0,2,18,87.7,880,0 -2012,11,8,18,30,0,0,0,2.1,16,99.33,880,-1 -2012,11,8,19,30,0,0,0,2.2,16,111.39,880,-1 -2012,11,8,20,30,0,0,0,2.8000000000000003,16,123.64,880,-1 -2012,11,8,21,30,0,0,0,3.9000000000000004,16,135.79,880,-1 -2012,11,8,22,30,0,0,0,4.3,15,147.37,880,0 -2012,11,8,23,30,0,0,0,4.2,14,157.17000000000002,880,0 -2012,11,9,0,30,0,0,0,4.3,13,161.77,880,0 -2012,11,9,1,30,0,0,0,4.3,12,157.62,880,1 -2012,11,9,2,30,0,0,0,4.2,11,148,880,1 -2012,11,9,3,30,0,0,0,4.1000000000000005,11,136.48,880,1 -2012,11,9,4,30,0,0,0,4,10,124.35000000000001,880,1 -2012,11,9,5,30,0,0,0,4,10,112.12,880,1 -2012,11,9,6,30,0,0,0,4.1000000000000005,9,100.06,880,1 -2012,11,9,7,30,18,12,208,4.4,9,88.42,880,0 -2012,11,9,8,30,191,45,674,4.5,12,77.51,880,0 -2012,11,9,9,30,374,60,828,4.4,16,67.74,880,0 -2012,11,9,10,30,522,68,900,5.4,21,59.74,880,-1 -2012,11,9,11,30,619,71,939,6.4,23,54.33,880,0 -2012,11,9,12,30,654,74,949,6.5,24,52.34,880,1 -2012,11,9,13,30,625,71,946,6.5,25,54.14,880,0 -2012,11,9,14,30,532,66,915,6.5,25,59.4,880,0 -2012,11,9,15,30,384,58,845,6,24,67.29,880,0 -2012,11,9,16,30,199,44,686,4.6000000000000005,22,76.99,880,0 -2012,11,9,17,30,24,14,251,3.3000000000000003,19,87.86,880,1 -2012,11,9,18,30,0,0,0,3.4000000000000004,18,99.47,880,2 -2012,11,9,19,30,0,0,0,4.3,17,111.52,880,3 -2012,11,9,20,30,0,0,0,4.4,16,123.76,880,3 -2012,11,9,21,30,0,0,0,3.6,15,135.92000000000002,880,3 -2012,11,9,22,30,0,0,0,3,14,147.53,880,4 -2012,11,9,23,30,0,0,0,3.3000000000000003,13,157.39000000000001,880,4 -2012,11,10,0,30,0,0,0,3.9000000000000004,13,162.05,880,4 -2012,11,10,1,30,0,0,0,4.4,13,157.87,880,4 -2012,11,10,2,30,0,0,0,4.6000000000000005,12,148.20000000000002,880,5 -2012,11,10,3,30,0,0,0,4.6000000000000005,12,136.65,880,7 -2012,11,10,4,30,0,0,0,4.5,11,124.52,880,8 -2012,11,10,5,30,0,0,0,4.6000000000000005,11,112.29,880,9 -2012,11,10,6,30,0,0,0,4.6000000000000005,11,100.24000000000001,880,9 -2012,11,10,7,30,15,12,135,4.6000000000000005,11,88.61,880,9 -2012,11,10,8,30,179,49,611,4.9,13,77.72,880,9 -2012,11,10,9,30,309,113,521,5.9,17,67.97,880,9 -2012,11,10,10,30,408,192,430,7.5,21,60,880,7 -2012,11,10,11,30,612,74,929,8.8,23,54.6,880,6 -2012,11,10,12,30,483,270,350,9.4,24,52.61,880,5 -2012,11,10,13,30,514,197,543,9.700000000000001,25,54.410000000000004,870,4 -2012,11,10,14,30,479,109,731,9.600000000000001,25,59.64,870,4 -2012,11,10,15,30,328,109,572,9.1,24,67.5,870,3 -2012,11,10,16,30,145,76,308,8,23,77.16,870,2 -2012,11,10,17,30,16,16,0,6.800000000000001,20,88.01,870,2 -2012,11,10,18,30,0,0,0,5.9,18,99.61,880,1 -2012,11,10,19,30,0,0,0,4.7,16,111.65,880,1 -2012,11,10,20,30,0,0,0,3.3000000000000003,13,123.89,880,0 -2012,11,10,21,30,0,0,0,2.6,11,136.05,880,0 -2012,11,10,22,30,0,0,0,2.4000000000000004,10,147.69,880,-2 -2012,11,10,23,30,0,0,0,2.1,8,157.6,880,-5 -2012,11,11,0,30,0,0,0,1.9000000000000001,6,162.33,880,-6 -2012,11,11,1,30,0,0,0,1.9000000000000001,5,158.11,880,-8 -2012,11,11,2,30,0,0,0,2,4,148.4,880,-9 -2012,11,11,3,30,0,0,0,2.2,3,136.83,880,-10 -2012,11,11,4,30,0,0,0,2.3000000000000003,3,124.69,880,-11 -2012,11,11,5,30,0,0,0,2.4000000000000004,2,112.46000000000001,880,-11 -2012,11,11,6,30,0,0,0,2.5,1,100.41,880,-11 -2012,11,11,7,30,16,11,201,3.2,2,88.8,880,-11 -2012,11,11,8,30,193,45,703,4.1000000000000005,4,77.93,880,-10 -2012,11,11,9,30,382,63,861,4.800000000000001,6,68.2,880,-10 -2012,11,11,10,30,536,73,934,4.800000000000001,7,60.25,880,-10 -2012,11,11,11,30,637,78,971,4.6000000000000005,8,54.88,880,-10 -2012,11,11,12,30,673,80,983,4.5,9,52.89,880,-11 -2012,11,11,13,30,641,79,972,4.4,10,54.660000000000004,880,-11 -2012,11,11,14,30,543,77,929,4.1000000000000005,10,59.86,890,-12 -2012,11,11,15,30,389,72,833,3.6,9,67.69,890,-13 -2012,11,11,16,30,156,66,413,2.8000000000000003,8,77.33,890,-13 -2012,11,11,17,30,21,15,183,2.8000000000000003,5,88.15,890,-11 -2012,11,11,18,30,0,0,0,3.5,3,99.74000000000001,890,-9 -2012,11,11,19,30,0,0,0,3.4000000000000004,2,111.77,890,-8 -2012,11,11,20,30,0,0,0,2.5,0,124,890,-8 -2012,11,11,21,30,0,0,0,1.5,0,136.18,890,-7 -2012,11,11,22,30,0,0,0,0.9,0,147.84,890,-7 -2012,11,11,23,30,0,0,0,0.7000000000000001,0,157.81,890,-7 -2012,11,12,0,30,0,0,0,0.7000000000000001,-1,162.6,890,-7 -2012,11,12,1,30,0,0,0,0.9,-1,158.36,900,-7 -2012,11,12,2,30,0,0,0,1.2000000000000002,-1,148.59,900,-7 -2012,11,12,3,30,0,0,0,1.3,-2,137,900,-7 -2012,11,12,4,30,0,0,0,1.4000000000000001,-2,124.85000000000001,900,-8 -2012,11,12,5,30,0,0,0,1.4000000000000001,-3,112.62,900,-9 -2012,11,12,6,30,0,0,0,1.6,-3,100.59,900,-10 -2012,11,12,7,30,14,11,220,2.5,-2,88.99,900,-12 -2012,11,12,8,30,196,44,738,2.9000000000000004,0,78.13,900,-14 -2012,11,12,9,30,391,59,901,2.5,3,68.43,900,-14 -2012,11,12,10,30,548,68,975,1.8,7,60.5,900,-17 -2012,11,12,11,30,649,72,1009,0.8,8,55.14,900,-18 -2012,11,12,12,30,685,74,1018,0.4,9,53.160000000000004,900,-18 -2012,11,12,13,30,652,73,1008,0.6000000000000001,10,54.92,900,-19 -2012,11,12,14,30,555,68,976,1.1,11,60.09,900,-19 -2012,11,12,15,30,401,60,905,1.5,10,67.88,900,-19 -2012,11,12,16,30,208,45,753,1.3,8,77.49,900,-18 -2012,11,12,17,30,22,13,284,1.1,5,88.29,900,-11 -2012,11,12,18,30,0,0,0,1.3,2,99.86,900,-12 -2012,11,12,19,30,0,0,0,1.4000000000000001,1,111.88,900,-12 -2012,11,12,20,30,0,0,0,1.6,1,124.11,900,-13 -2012,11,12,21,30,0,0,0,2,0,136.29,900,-13 -2012,11,12,22,30,0,0,0,2.3000000000000003,0,147.98,900,-13 -2012,11,12,23,30,0,0,0,2.4000000000000004,0,158.01,900,-12 -2012,11,13,0,30,0,0,0,2.4000000000000004,0,162.86,900,-12 -2012,11,13,1,30,0,0,0,2.8000000000000003,0,158.6,900,-11 -2012,11,13,2,30,0,0,0,3.2,0,148.79,900,-11 -2012,11,13,3,30,0,0,0,3.3000000000000003,-1,137.17000000000002,900,-10 -2012,11,13,4,30,0,0,0,3.1,-1,125.01,900,-10 -2012,11,13,5,30,0,0,0,2.9000000000000004,-1,112.79,900,-9 -2012,11,13,6,30,0,0,0,2.8000000000000003,-2,100.76,900,-9 -2012,11,13,7,30,0,0,0,3.4000000000000004,-1,89.18,900,-9 -2012,11,13,8,30,183,46,678,4,1,78.34,900,-9 -2012,11,13,9,30,372,63,848,4.9,4,68.66,900,-9 -2012,11,13,10,30,471,89,781,6,8,60.75,900,-10 -2012,11,13,11,30,466,231,413,6.1000000000000005,11,55.410000000000004,890,-10 -2012,11,13,12,30,559,168,656,6.1000000000000005,12,53.42,890,-11 -2012,11,13,13,30,628,80,959,5.9,13,55.160000000000004,890,-11 -2012,11,13,14,30,534,75,926,5.6000000000000005,14,60.300000000000004,890,-11 -2012,11,13,15,30,384,65,854,4.9,13,68.07000000000001,890,-11 -2012,11,13,16,30,196,48,690,3.3000000000000003,11,77.65,890,-10 -2012,11,13,17,30,19,13,208,2,7,88.43,890,-8 -2012,11,13,18,30,0,0,0,2.1,5,99.98,890,-8 -2012,11,13,19,30,0,0,0,2.3000000000000003,4,111.98,890,-8 -2012,11,13,20,30,0,0,0,2.4000000000000004,3,124.21000000000001,890,-8 -2012,11,13,21,30,0,0,0,2.3000000000000003,2,136.4,890,-7 -2012,11,13,22,30,0,0,0,2.3000000000000003,2,148.11,890,-7 -2012,11,13,23,30,0,0,0,2.3000000000000003,1,158.20000000000002,890,-7 -2012,11,14,0,30,0,0,0,2.4000000000000004,0,163.12,890,-8 -2012,11,14,1,30,0,0,0,2.4000000000000004,0,158.83,890,-8 -2012,11,14,2,30,0,0,0,2.2,0,148.98,890,-8 -2012,11,14,3,30,0,0,0,1.9000000000000001,0,137.34,890,-8 -2012,11,14,4,30,0,0,0,1.7000000000000002,0,125.18,890,-9 -2012,11,14,5,30,0,0,0,1.5,0,112.96000000000001,890,-9 -2012,11,14,6,30,0,0,0,1.4000000000000001,-1,100.94,890,-10 -2012,11,14,7,30,0,0,0,1.7000000000000002,0,89.37,890,-10 -2012,11,14,8,30,177,46,664,2.2,2,78.54,900,-10 -2012,11,14,9,30,365,63,839,1.9000000000000001,6,68.89,900,-11 -2012,11,14,10,30,519,73,919,1.2000000000000002,10,61,900,-11 -2012,11,14,11,30,619,78,958,1.8,13,55.67,890,-10 -2012,11,14,12,30,656,80,972,2.9000000000000004,16,53.68,890,-10 -2012,11,14,13,30,626,79,964,3.5,17,55.4,890,-10 -2012,11,14,14,30,531,74,929,3.9000000000000004,18,60.52,890,-10 -2012,11,14,15,30,382,63,860,3.8000000000000003,17,68.25,890,-9 -2012,11,14,16,30,195,47,701,2.7,14,77.8,890,-9 -2012,11,14,17,30,18,13,209,2.1,10,88.56,890,-6 -2012,11,14,18,30,0,0,0,2.7,8,100.09,890,-6 -2012,11,14,19,30,0,0,0,3.5,8,112.08,890,-7 -2012,11,14,20,30,0,0,0,4,7,124.31,890,-7 -2012,11,14,21,30,0,0,0,4.1000000000000005,6,136.5,890,-6 -2012,11,14,22,30,0,0,0,4,5,148.24,890,-6 -2012,11,14,23,30,0,0,0,3.9000000000000004,4,158.38,890,-6 -2012,11,15,0,30,0,0,0,3.9000000000000004,3,163.37,890,-6 -2012,11,15,1,30,0,0,0,3.8000000000000003,2,159.06,890,-6 -2012,11,15,2,30,0,0,0,3.7,2,149.17000000000002,890,-7 -2012,11,15,3,30,0,0,0,3.5,1,137.51,890,-8 -2012,11,15,4,30,0,0,0,3.2,1,125.34,890,-8 -2012,11,15,5,30,0,0,0,3,0,113.12,890,-9 -2012,11,15,6,30,0,0,0,2.9000000000000004,0,101.11,890,-10 -2012,11,15,7,30,0,0,0,3.3000000000000003,1,89.55,890,-11 -2012,11,15,8,30,68,68,0,3.8000000000000003,4,78.75,890,-11 -2012,11,15,9,30,123,122,2,4.2,7,69.11,890,-10 -2012,11,15,10,30,449,105,716,4.6000000000000005,10,61.24,890,-7 -2012,11,15,11,30,616,74,966,4.800000000000001,12,55.92,890,-7 -2012,11,15,12,30,650,74,979,4.9,14,53.93,890,-6 -2012,11,15,13,30,618,72,967,5,15,55.64,890,-6 -2012,11,15,14,30,523,68,930,5.1000000000000005,16,60.72,890,-6 -2012,11,15,15,30,374,58,859,5,15,68.42,890,-6 -2012,11,15,16,30,189,43,698,3.7,13,77.95,890,-6 -2012,11,15,17,30,16,11,209,2.4000000000000004,9,88.68,890,-5 -2012,11,15,18,30,0,0,0,2.2,7,100.19,890,-4 -2012,11,15,19,30,0,0,0,2.2,6,112.18,890,-4 -2012,11,15,20,30,0,0,0,2,4,124.4,900,-4 -2012,11,15,21,30,0,0,0,1.8,3,136.6,900,-3 -2012,11,15,22,30,0,0,0,1.6,2,148.36,900,-3 -2012,11,15,23,30,0,0,0,1.4000000000000001,2,158.55,900,-3 -2012,11,16,0,30,0,0,0,1.3,1,163.62,900,-2 -2012,11,16,1,30,0,0,0,1.2000000000000002,0,159.29,900,-2 -2012,11,16,2,30,0,0,0,1.2000000000000002,0,149.36,900,-1 -2012,11,16,3,30,0,0,0,1.3,0,137.68,900,-1 -2012,11,16,4,30,0,0,0,1.3,0,125.51,900,-1 -2012,11,16,5,30,0,0,0,1.2000000000000002,0,113.29,900,0 -2012,11,16,6,30,0,0,0,1.1,-1,101.29,900,-1 -2012,11,16,7,30,0,0,0,1.1,0,89.74,900,0 -2012,11,16,8,30,120,65,285,1,1,78.95,900,0 -2012,11,16,9,30,337,80,728,1.3,5,69.33,900,0 -2012,11,16,10,30,483,97,808,2.9000000000000004,9,61.480000000000004,900,2 -2012,11,16,11,30,576,107,842,4.3,12,56.17,900,3 -2012,11,16,12,30,616,96,889,4.6000000000000005,14,54.18,890,4 -2012,11,16,13,30,588,90,887,4.7,15,55.86,890,3 -2012,11,16,14,30,496,82,853,4.7,16,60.92,890,3 -2012,11,16,15,30,355,66,791,4.5,16,68.59,890,3 -2012,11,16,16,30,176,49,615,3.5,14,78.08,890,3 -2012,11,16,17,30,14,11,139,2.8000000000000003,11,88.79,890,3 -2012,11,16,18,30,0,0,0,3.5,10,100.29,890,3 -2012,11,16,19,30,0,0,0,3.8000000000000003,9,112.27,890,3 -2012,11,16,20,30,0,0,0,3.6,8,124.48,890,3 -2012,11,16,21,30,0,0,0,3.6,7,136.69,890,3 -2012,11,16,22,30,0,0,0,3.7,6,148.47,890,3 -2012,11,16,23,30,0,0,0,3.6,6,158.72,890,3 -2012,11,17,0,30,0,0,0,3.5,5,163.87,890,3 -2012,11,17,1,30,0,0,0,3.4000000000000004,5,159.52,890,3 -2012,11,17,2,30,0,0,0,3,4,149.54,890,3 -2012,11,17,3,30,0,0,0,2.7,4,137.85,890,4 -2012,11,17,4,30,0,0,0,2.5,3,125.67,890,2 -2012,11,17,5,30,0,0,0,2.4000000000000004,3,113.45,890,2 -2012,11,17,6,30,0,0,0,2.4000000000000004,3,101.46000000000001,890,2 -2012,11,17,7,30,0,0,0,3.1,4,89.92,890,4 -2012,11,17,8,30,154,53,537,4,6,79.15,890,4 -2012,11,17,9,30,333,77,732,4.800000000000001,10,69.55,890,5 -2012,11,17,10,30,480,91,820,5.300000000000001,13,61.71,890,5 -2012,11,17,11,30,576,97,866,5,15,56.42,890,5 -2012,11,17,12,30,618,86,915,4.800000000000001,17,54.42,890,5 -2012,11,17,13,30,479,202,495,4.800000000000001,18,56.09,890,4 -2012,11,17,14,30,431,132,617,4.800000000000001,18,61.11,890,4 -2012,11,17,15,30,271,131,387,4.800000000000001,18,68.75,890,4 -2012,11,17,16,30,121,74,227,4,16,78.22,890,4 -2012,11,17,17,30,9,9,0,3.2,13,88.9,890,4 -2012,11,17,18,30,0,0,0,3.6,11,100.39,890,4 -2012,11,17,19,30,0,0,0,4,11,112.35000000000001,890,4 -2012,11,17,20,30,0,0,0,3.9000000000000004,10,124.56,890,5 -2012,11,17,21,30,0,0,0,3.8000000000000003,10,136.77,890,5 -2012,11,17,22,30,0,0,0,3.7,9,148.57,890,5 -2012,11,17,23,30,0,0,0,3.6,9,158.88,890,5 -2012,11,18,0,30,0,0,0,3.4000000000000004,9,164.1,890,5 -2012,11,18,1,30,0,0,0,3.3000000000000003,9,159.74,890,5 -2012,11,18,2,30,0,0,0,3.2,8,149.73,890,5 -2012,11,18,3,30,0,0,0,3,8,138.01,890,5 -2012,11,18,4,30,0,0,0,2.8000000000000003,7,125.83,890,5 -2012,11,18,5,30,0,0,0,2.8000000000000003,7,113.62,890,5 -2012,11,18,6,30,0,0,0,3,7,101.63,890,5 -2012,11,18,7,30,0,0,0,3.5,8,90.11,890,5 -2012,11,18,8,30,82,70,65,3.9000000000000004,10,79.35000000000001,890,5 -2012,11,18,9,30,305,73,671,4.1000000000000005,12,69.76,890,6 -2012,11,18,10,30,317,213,220,4.5,16,61.95,890,5 -2012,11,18,11,30,410,246,298,5.4,19,56.660000000000004,890,4 -2012,11,18,12,30,388,277,192,5.800000000000001,20,54.660000000000004,890,4 -2012,11,18,13,30,269,240,51,5.7,20,56.300000000000004,890,4 -2012,11,18,14,30,357,203,319,5.4,19,61.300000000000004,890,5 -2012,11,18,15,30,252,141,309,5,19,68.9,890,5 -2012,11,18,16,30,80,75,28,3.8000000000000003,17,78.34,890,5 -2012,11,18,17,30,0,0,0,3,15,89.01,890,5 -2012,11,18,18,30,0,0,0,3.6,13,100.47,890,5 -2012,11,18,19,30,0,0,0,4.1000000000000005,12,112.43,890,6 -2012,11,18,20,30,0,0,0,4.2,11,124.63000000000001,890,6 -2012,11,18,21,30,0,0,0,4.1000000000000005,10,136.85,890,6 -2012,11,18,22,30,0,0,0,4,10,148.67000000000002,890,6 -2012,11,18,23,30,0,0,0,3.9000000000000004,9,159.03,890,6 -2012,11,19,0,30,0,0,0,3.8000000000000003,8,164.33,890,5 -2012,11,19,1,30,0,0,0,4,8,159.96,890,5 -2012,11,19,2,30,0,0,0,4.1000000000000005,7,149.91,890,4 -2012,11,19,3,30,0,0,0,3.8000000000000003,6,138.18,890,3 -2012,11,19,4,30,0,0,0,3.5,5,125.99000000000001,890,1 -2012,11,19,5,30,0,0,0,3.3000000000000003,5,113.78,890,0 -2012,11,19,6,30,0,0,0,3.1,4,101.8,890,0 -2012,11,19,7,30,0,0,0,3.4000000000000004,5,90.29,890,-1 -2012,11,19,8,30,110,63,262,3.7,7,79.55,890,-1 -2012,11,19,9,30,307,66,706,3.3000000000000003,10,69.98,890,-1 -2012,11,19,10,30,501,62,940,2.8000000000000003,13,62.17,890,0 -2012,11,19,11,30,599,66,975,2,17,56.89,890,0 -2012,11,19,12,30,635,68,985,1.2000000000000002,20,54.89,890,-2 -2012,11,19,13,30,605,67,973,0.9,21,56.51,890,-3 -2012,11,19,14,30,512,63,938,0.8,21,61.480000000000004,890,-4 -2012,11,19,15,30,365,55,864,0.8,20,69.05,890,-4 -2012,11,19,16,30,181,41,702,0.9,17,78.47,890,-1 -2012,11,19,17,30,0,0,0,1.2000000000000002,13,89.11,890,0 -2012,11,19,18,30,0,0,0,1.4000000000000001,11,100.55,890,-1 -2012,11,19,19,30,0,0,0,1.4000000000000001,10,112.5,890,-1 -2012,11,19,20,30,0,0,0,1.3,9,124.7,890,0 -2012,11,19,21,30,0,0,0,1.3,8,136.92000000000002,890,0 -2012,11,19,22,30,0,0,0,1.2000000000000002,8,148.76,890,0 -2012,11,19,23,30,0,0,0,0.9,9,159.17000000000002,890,0 -2012,11,20,0,30,0,0,0,0.7000000000000001,8,164.56,890,0 -2012,11,20,1,30,0,0,0,0.8,7,160.18,890,0 -2012,11,20,2,30,0,0,0,1.1,5,150.09,890,0 -2012,11,20,3,30,0,0,0,1.2000000000000002,4,138.35,890,0 -2012,11,20,4,30,0,0,0,1.3,3,126.15,890,0 -2012,11,20,5,30,0,0,0,1.4000000000000001,3,113.95,890,0 -2012,11,20,6,30,0,0,0,1.3,3,101.97,890,0 -2012,11,20,7,30,0,0,0,1.3,4,90.47,890,0 -2012,11,20,8,30,156,37,668,1.6,7,79.74,890,0 -2012,11,20,9,30,340,52,848,1.5,11,70.19,890,0 -2012,11,20,10,30,490,61,927,1.1,15,62.4,890,0 -2012,11,20,11,30,589,65,965,1.5,18,57.120000000000005,890,0 -2012,11,20,12,30,626,66,978,2,20,55.11,890,-1 -2012,11,20,13,30,598,65,970,2.4000000000000004,21,56.72,890,-2 -2012,11,20,14,30,506,61,936,2.7,21,61.65,890,-3 -2012,11,20,15,30,361,53,864,2.5,20,69.19,890,-3 -2012,11,20,16,30,179,39,705,1.7000000000000002,16,78.58,890,-2 -2012,11,20,17,30,0,0,0,1.5,12,89.2,890,0 -2012,11,20,18,30,0,0,0,1.8,10,100.63,890,-1 -2012,11,20,19,30,0,0,0,2,10,112.56,890,-1 -2012,11,20,20,30,0,0,0,2.2,9,124.76,890,-1 -2012,11,20,21,30,0,0,0,2.5,9,136.98,890,-1 -2012,11,20,22,30,0,0,0,2.8000000000000003,8,148.84,890,0 -2012,11,20,23,30,0,0,0,2.9000000000000004,7,159.31,890,0 -2012,11,21,0,30,0,0,0,2.9000000000000004,6,164.77,890,1 -2012,11,21,1,30,0,0,0,2.8000000000000003,6,160.39000000000001,890,2 -2012,11,21,2,30,0,0,0,2.7,5,150.27,890,2 -2012,11,21,3,30,0,0,0,2.6,5,138.51,890,2 -2012,11,21,4,30,0,0,0,2.6,5,126.31,890,1 -2012,11,21,5,30,0,0,0,2.5,5,114.11,890,0 -2012,11,21,6,30,0,0,0,2.4000000000000004,5,102.14,890,0 -2012,11,21,7,30,0,0,0,2.7,6,90.65,890,-1 -2012,11,21,8,30,106,60,267,3.4000000000000004,8,79.94,890,-1 -2012,11,21,9,30,276,94,540,3.7,11,70.4,890,-2 -2012,11,21,10,30,414,115,650,4.4,15,62.620000000000005,890,-1 -2012,11,21,11,30,487,158,611,5.7,19,57.35,890,-2 -2012,11,21,12,30,505,187,558,6.2,20,55.33,890,-1 -2012,11,21,13,30,399,248,276,6.2,21,56.910000000000004,890,0 -2012,11,21,14,30,252,210,88,6.1000000000000005,22,61.82,890,2 -2012,11,21,15,30,280,123,444,5.5,21,69.33,890,4 -2012,11,21,16,30,80,73,35,4.800000000000001,20,78.69,890,5 -2012,11,21,17,30,0,0,0,4.4,18,89.29,890,6 -2012,11,21,18,30,0,0,0,4.3,16,100.7,890,7 -2012,11,21,19,30,0,0,0,4.2,15,112.62,890,8 -2012,11,21,20,30,0,0,0,4.3,14,124.81,890,8 -2012,11,21,21,30,0,0,0,4.4,14,137.04,890,8 -2012,11,21,22,30,0,0,0,4.4,13,148.92000000000002,890,9 -2012,11,21,23,30,0,0,0,4.6000000000000005,13,159.43,890,9 -2012,11,22,0,30,0,0,0,4.7,12,164.99,890,9 -2012,11,22,1,30,0,0,0,4.6000000000000005,11,160.6,890,10 -2012,11,22,2,30,0,0,0,4.5,11,150.45000000000002,890,10 -2012,11,22,3,30,0,0,0,4.4,10,138.67000000000002,880,9 -2012,11,22,4,30,0,0,0,4.4,10,126.47,880,9 -2012,11,22,5,30,0,0,0,4.5,10,114.27,880,9 -2012,11,22,6,30,0,0,0,4.5,9,102.31,890,9 -2012,11,22,7,30,0,0,0,4.800000000000001,9,90.83,890,9 -2012,11,22,8,30,96,62,202,5,10,80.13,890,7 -2012,11,22,9,30,337,54,855,5,13,70.60000000000001,890,5 -2012,11,22,10,30,490,61,939,5.1000000000000005,16,62.84,890,1 -2012,11,22,11,30,588,65,974,4.4,19,57.57,890,-2 -2012,11,22,12,30,623,69,978,3.7,21,55.54,890,-5 -2012,11,22,13,30,592,69,963,3.8000000000000003,22,57.1,890,-6 -2012,11,22,14,30,499,66,922,4.5,22,61.980000000000004,890,-6 -2012,11,22,15,30,352,58,837,4.7,21,69.46000000000001,890,-6 -2012,11,22,16,30,85,74,58,3.6,18,78.79,890,-5 -2012,11,22,17,30,0,0,0,2.8000000000000003,14,89.37,890,-2 -2012,11,22,18,30,0,0,0,3.5,13,100.76,890,-2 -2012,11,22,19,30,0,0,0,4.3,12,112.67,890,-1 -2012,11,22,20,30,0,0,0,4.6000000000000005,11,124.86,890,0 -2012,11,22,21,30,0,0,0,5.2,9,137.09,890,0 -2012,11,22,22,30,0,0,0,5.9,8,148.99,900,0 -2012,11,22,23,30,0,0,0,5.800000000000001,7,159.55,900,-1 -2012,11,23,0,30,0,0,0,5.4,5,165.19,900,-2 -2012,11,23,1,30,0,0,0,5,4,160.81,900,-2 -2012,11,23,2,30,0,0,0,4.5,3,150.62,900,-3 -2012,11,23,3,30,0,0,0,3.9000000000000004,3,138.83,900,-3 -2012,11,23,4,30,0,0,0,3.2,2,126.63000000000001,900,-4 -2012,11,23,5,30,0,0,0,2.7,1,114.43,900,-5 -2012,11,23,6,30,0,0,0,2.3000000000000003,1,102.48,900,-5 -2012,11,23,7,30,0,0,0,2.5,1,91.01,900,-6 -2012,11,23,8,30,145,38,637,3.4000000000000004,3,80.32000000000001,900,-6 -2012,11,23,9,30,328,55,828,4.1000000000000005,6,70.81,900,-8 -2012,11,23,10,30,478,65,911,4,8,63.050000000000004,900,-10 -2012,11,23,11,30,576,69,950,3.3000000000000003,10,57.79,900,-11 -2012,11,23,12,30,612,71,961,2.5,11,55.75,900,-11 -2012,11,23,13,30,584,70,951,1.8,11,57.29,900,-11 -2012,11,23,14,30,493,65,915,1.2000000000000002,12,62.13,900,-11 -2012,11,23,15,30,350,55,846,0.9,11,69.58,900,-11 -2012,11,23,16,30,172,40,682,0.7000000000000001,10,78.89,900,-10 -2012,11,23,17,30,0,0,0,0.7000000000000001,8,89.44,900,-7 -2012,11,23,18,30,0,0,0,1,6,100.82000000000001,900,-8 -2012,11,23,19,30,0,0,0,1.1,4,112.72,900,-8 -2012,11,23,20,30,0,0,0,1.2000000000000002,3,124.9,900,-8 -2012,11,23,21,30,0,0,0,1.6,3,137.13,900,-8 -2012,11,23,22,30,0,0,0,2,3,149.05,900,-9 -2012,11,23,23,30,0,0,0,2.4000000000000004,2,159.66,900,-9 -2012,11,24,0,30,0,0,0,2.8000000000000003,2,165.39000000000001,900,-9 -2012,11,24,1,30,0,0,0,3.2,2,161.01,900,-9 -2012,11,24,2,30,0,0,0,3.5,1,150.8,900,-9 -2012,11,24,3,30,0,0,0,3.8000000000000003,1,138.99,900,-9 -2012,11,24,4,30,0,0,0,4.1000000000000005,1,126.79,890,-9 -2012,11,24,5,30,0,0,0,4.4,1,114.59,890,-9 -2012,11,24,6,30,0,0,0,4.6000000000000005,1,102.65,890,-9 -2012,11,24,7,30,0,0,0,5,1,91.19,890,-9 -2012,11,24,8,30,96,58,227,5.5,3,80.51,890,-8 -2012,11,24,9,30,330,50,858,6.4,7,71,890,-8 -2012,11,24,10,30,482,59,941,7.1000000000000005,11,63.26,890,-7 -2012,11,24,11,30,583,62,981,6.9,14,58,890,-6 -2012,11,24,12,30,621,65,994,6.6000000000000005,16,55.95,890,-5 -2012,11,24,13,30,594,62,989,6.300000000000001,18,57.47,890,-5 -2012,11,24,14,30,504,57,960,5.9,19,62.28,890,-6 -2012,11,24,15,30,359,48,895,4.800000000000001,18,69.7,880,-6 -2012,11,24,16,30,177,35,741,3.1,15,78.98,880,-5 -2012,11,24,17,30,0,0,0,2.8000000000000003,11,89.51,880,-4 -2012,11,24,18,30,0,0,0,3.6,10,100.87,880,-5 -2012,11,24,19,30,0,0,0,4.2,9,112.76,880,-5 -2012,11,24,20,30,0,0,0,4.4,8,124.94,880,-6 -2012,11,24,21,30,0,0,0,4.4,7,137.17000000000002,880,-7 -2012,11,24,22,30,0,0,0,4.3,6,149.1,880,-8 -2012,11,24,23,30,0,0,0,4.1000000000000005,6,159.76,880,-9 -2012,11,25,0,30,0,0,0,3.9000000000000004,5,165.58,880,-9 -2012,11,25,1,30,0,0,0,3.7,4,161.21,880,-9 -2012,11,25,2,30,0,0,0,3.4000000000000004,3,150.97,880,-9 -2012,11,25,3,30,0,0,0,3,3,139.15,880,-9 -2012,11,25,4,30,0,0,0,2.8000000000000003,2,126.94,880,-9 -2012,11,25,5,30,0,0,0,2.7,2,114.75,880,-9 -2012,11,25,6,30,0,0,0,2.7,2,102.81,880,-9 -2012,11,25,7,30,0,0,0,3.2,3,91.37,880,-9 -2012,11,25,8,30,95,56,244,3.8000000000000003,6,80.69,880,-9 -2012,11,25,9,30,331,46,882,3.7,9,71.2,880,-8 -2012,11,25,10,30,483,54,960,3.2,12,63.46,880,-7 -2012,11,25,11,30,583,59,996,2.5,15,58.2,880,-6 -2012,11,25,12,30,621,62,1003,1.7000000000000002,16,56.15,880,-6 -2012,11,25,13,30,593,62,992,1.2000000000000002,17,57.64,880,-6 -2012,11,25,14,30,502,58,957,1.1,18,62.42,880,-6 -2012,11,25,15,30,357,50,888,0.9,18,69.81,880,-6 -2012,11,25,16,30,175,37,726,0.7000000000000001,16,79.06,880,-2 -2012,11,25,17,30,0,0,0,1.1,12,89.57000000000001,880,-4 -2012,11,25,18,30,0,0,0,1.3,10,100.92,880,-5 -2012,11,25,19,30,0,0,0,1.4000000000000001,8,112.79,880,-5 -2012,11,25,20,30,0,0,0,1.4000000000000001,7,124.97,880,-5 -2012,11,25,21,30,0,0,0,1.5,6,137.20000000000002,880,-5 -2012,11,25,22,30,0,0,0,1.5,5,149.15,880,-6 -2012,11,25,23,30,0,0,0,1.9000000000000001,4,159.86,880,-7 -2012,11,26,0,30,0,0,0,2.5,4,165.76,880,-8 -2012,11,26,1,30,0,0,0,3.2,4,161.4,880,-9 -2012,11,26,2,30,0,0,0,3.7,3,151.14000000000001,880,-9 -2012,11,26,3,30,0,0,0,3.8000000000000003,2,139.31,880,-8 -2012,11,26,4,30,0,0,0,3.8000000000000003,1,127.10000000000001,880,-7 -2012,11,26,5,30,0,0,0,4,0,114.91,880,-6 -2012,11,26,6,30,0,0,0,4.1000000000000005,0,102.98,890,-4 -2012,11,26,7,30,0,0,0,4.3,0,91.54,890,-3 -2012,11,26,8,30,91,55,226,4.800000000000001,1,80.87,890,-2 -2012,11,26,9,30,312,60,791,5.2,3,71.39,890,-1 -2012,11,26,10,30,462,70,884,5.6000000000000005,5,63.660000000000004,890,-1 -2012,11,26,11,30,560,74,927,6.1000000000000005,7,58.4,890,-1 -2012,11,26,12,30,599,72,951,6.4,9,56.33,890,-2 -2012,11,26,13,30,572,71,941,6.4,10,57.800000000000004,890,-2 -2012,11,26,14,30,483,66,904,6.2,9,62.550000000000004,890,-2 -2012,11,26,15,30,341,58,824,5.7,8,69.91,890,-3 -2012,11,26,16,30,164,41,649,4.800000000000001,6,79.14,890,-3 -2012,11,26,17,30,0,0,0,3.4000000000000004,4,89.63,890,-3 -2012,11,26,18,30,0,0,0,2.6,2,100.96000000000001,900,-3 -2012,11,26,19,30,0,0,0,2.4000000000000004,0,112.82000000000001,900,-4 -2012,11,26,20,30,0,0,0,2,0,124.99000000000001,900,-5 -2012,11,26,21,30,0,0,0,1.6,0,137.23,900,-5 -2012,11,26,22,30,0,0,0,1.4000000000000001,-1,149.19,900,-6 -2012,11,26,23,30,0,0,0,1.1,-1,159.94,900,-6 -2012,11,27,0,30,0,0,0,0.9,-2,165.94,900,-6 -2012,11,27,1,30,0,0,0,0.9,-2,161.59,900,-7 -2012,11,27,2,30,0,0,0,0.8,-2,151.31,900,-7 -2012,11,27,3,30,0,0,0,0.8,-3,139.47,900,-7 -2012,11,27,4,30,0,0,0,0.8,-3,127.25,900,-7 -2012,11,27,5,30,0,0,0,1,-4,115.07000000000001,900,-6 -2012,11,27,6,30,0,0,0,1.3,-3,103.14,900,-6 -2012,11,27,7,30,0,0,0,2.1,-2,91.71000000000001,900,-6 -2012,11,27,8,30,83,56,174,3.2,0,81.05,900,-6 -2012,11,27,9,30,317,54,832,3.9000000000000004,3,71.58,900,-5 -2012,11,27,10,30,470,63,925,4.5,6,63.86,900,-5 -2012,11,27,11,30,573,67,971,4.800000000000001,9,58.6,890,-4 -2012,11,27,12,30,614,70,984,4.9,12,56.52,890,-4 -2012,11,27,13,30,589,69,979,4.800000000000001,14,57.96,890,-4 -2012,11,27,14,30,499,64,948,4.6000000000000005,15,62.68,890,-4 -2012,11,27,15,30,355,56,875,3.6,15,70.01,890,-5 -2012,11,27,16,30,173,41,708,2.3000000000000003,11,79.21000000000001,890,-4 -2012,11,27,17,30,0,0,0,2.2,8,89.68,890,-4 -2012,11,27,18,30,0,0,0,2.9000000000000004,6,100.99000000000001,890,-4 -2012,11,27,19,30,0,0,0,3.5,6,112.85000000000001,890,-4 -2012,11,27,20,30,0,0,0,3.9000000000000004,5,125.01,890,-4 -2012,11,27,21,30,0,0,0,4,4,137.25,890,-4 -2012,11,27,22,30,0,0,0,4,3,149.22,890,-4 -2012,11,27,23,30,0,0,0,4,2,160.02,890,-5 -2012,11,28,0,30,0,0,0,3.9000000000000004,2,166.11,890,-6 -2012,11,28,1,30,0,0,0,3.9000000000000004,1,161.78,890,-7 -2012,11,28,2,30,0,0,0,3.8000000000000003,0,151.47,890,-8 -2012,11,28,3,30,0,0,0,3.5,0,139.63,890,-8 -2012,11,28,4,30,0,0,0,3.2,0,127.41,890,-9 -2012,11,28,5,30,0,0,0,3,0,115.22,890,-9 -2012,11,28,6,30,0,0,0,2.9000000000000004,-1,103.3,890,-9 -2012,11,28,7,30,0,0,0,3.3000000000000003,0,91.88,890,-9 -2012,11,28,8,30,81,55,170,3.6,1,81.23,890,-9 -2012,11,28,9,30,324,53,866,3.3000000000000003,5,71.77,890,-9 -2012,11,28,10,30,479,62,951,3,9,64.05,890,-9 -2012,11,28,11,30,581,68,990,3.2,12,58.79,890,-10 -2012,11,28,12,30,619,71,998,3.6,15,56.69,890,-9 -2012,11,28,13,30,592,70,986,4.2,18,58.11,890,-10 -2012,11,28,14,30,500,67,948,4.4,19,62.800000000000004,890,-10 -2012,11,28,15,30,354,57,873,3.2,18,70.10000000000001,890,-10 -2012,11,28,16,30,120,62,316,2.1,14,79.27,890,-5 -2012,11,28,17,30,0,0,0,2.4000000000000004,10,89.72,890,-5 -2012,11,28,18,30,0,0,0,3.4000000000000004,10,101.02,890,-5 -2012,11,28,19,30,0,0,0,4.1000000000000005,10,112.86,890,-5 -2012,11,28,20,30,0,0,0,4.5,10,125.02,890,-5 -2012,11,28,21,30,0,0,0,4.800000000000001,9,137.26,890,-6 -2012,11,28,22,30,0,0,0,5,9,149.25,890,-6 -2012,11,28,23,30,0,0,0,4.9,8,160.09,890,-6 -2012,11,29,0,30,0,0,0,4.7,7,166.27,890,-5 -2012,11,29,1,30,0,0,0,4.6000000000000005,6,161.96,890,-4 -2012,11,29,2,30,0,0,0,4.3,6,151.64000000000001,890,-3 -2012,11,29,3,30,0,0,0,4.1000000000000005,5,139.78,890,-2 -2012,11,29,4,30,0,0,0,4,5,127.56,890,-2 -2012,11,29,5,30,0,0,0,4.1000000000000005,5,115.38,890,-2 -2012,11,29,6,30,0,0,0,4.3,4,103.46000000000001,890,-2 -2012,11,29,7,30,0,0,0,4.5,4,92.04,890,-2 -2012,11,29,8,30,79,54,167,4.7,6,81.41,890,-2 -2012,11,29,9,30,306,49,830,4.5,10,71.95,890,-3 -2012,11,29,10,30,456,58,915,4.6000000000000005,14,64.23,890,-3 -2012,11,29,11,30,555,63,955,5,18,58.97,890,-3 -2012,11,29,12,30,594,68,962,4.800000000000001,20,56.86,890,-4 -2012,11,29,13,30,568,67,952,4.4,21,58.25,890,-4 -2012,11,29,14,30,480,63,916,4,21,62.910000000000004,890,-4 -2012,11,29,15,30,339,55,837,2.8000000000000003,20,70.18,890,-4 -2012,11,29,16,30,163,40,662,1.6,17,79.33,890,0 -2012,11,29,17,30,0,0,0,1.4000000000000001,14,89.76,890,-1 -2012,11,29,18,30,0,0,0,1.5,12,101.04,890,-2 -2012,11,29,19,30,0,0,0,1.5,11,112.88,890,-3 -2012,11,29,20,30,0,0,0,1.7000000000000002,9,125.02,890,-3 -2012,11,29,21,30,0,0,0,2.1,8,137.27,890,-3 -2012,11,29,22,30,0,0,0,2.5,7,149.27,890,-4 -2012,11,29,23,30,0,0,0,2.8000000000000003,6,160.15,890,-4 -2012,11,30,0,30,0,0,0,2.9000000000000004,6,166.42000000000002,890,-4 -2012,11,30,1,30,0,0,0,3.2,5,162.14000000000001,890,-4 -2012,11,30,2,30,0,0,0,3.4000000000000004,4,151.8,890,-4 -2012,11,30,3,30,0,0,0,3.5,4,139.93,890,-4 -2012,11,30,4,30,0,0,0,3.6,4,127.71000000000001,890,-4 -2012,11,30,5,30,0,0,0,3.7,3,115.53,890,-4 -2012,11,30,6,30,0,0,0,3.6,3,103.62,890,-4 -2012,11,30,7,30,0,0,0,3.7,4,92.21000000000001,890,-5 -2012,11,30,8,30,107,38,465,3.9000000000000004,6,81.58,890,-4 -2012,11,30,9,30,220,109,362,3.8000000000000003,10,72.13,890,-4 -2012,11,30,10,30,338,163,403,3.4000000000000004,13,64.41,890,-4 -2012,11,30,11,30,549,66,942,3,16,59.14,890,-4 -2012,11,30,12,30,505,149,653,2.9000000000000004,19,57.02,890,-4 -2012,11,30,13,30,451,186,504,3.2,21,58.39,880,-4 -2012,11,30,14,30,417,105,687,3.4000000000000004,22,63.02,880,-4 -2012,11,30,15,30,334,49,844,2.5,21,70.26,880,-3 -2012,11,30,16,30,145,42,556,1.6,17,79.38,880,0 -2012,11,30,17,30,0,0,0,1.6,13,89.79,880,0 -2012,11,30,18,30,0,0,0,1.9000000000000001,11,101.06,880,-1 -2012,11,30,19,30,0,0,0,2.4000000000000004,11,112.88,880,-2 -2012,11,30,20,30,0,0,0,3.1,11,125.02,880,-3 -2012,11,30,21,30,0,0,0,3.8000000000000003,10,137.27,880,-3 -2012,11,30,22,30,0,0,0,4.1000000000000005,10,149.28,880,-3 -2012,11,30,23,30,0,0,0,4.3,9,160.20000000000002,880,-4 -2012,12,1,0,30,0,0,0,4.3,9,166.57,880,-4 -2012,12,1,1,30,0,0,0,4.5,8,162.32,880,-4 -2012,12,1,2,30,0,0,0,4.6000000000000005,8,151.96,880,-4 -2012,12,1,3,30,0,0,0,4.7,8,140.08,880,-5 -2012,12,1,4,30,0,0,0,4.800000000000001,8,127.86,880,-5 -2012,12,1,5,30,0,0,0,4.9,8,115.68,880,-5 -2012,12,1,6,30,0,0,0,5,8,103.78,880,-4 -2012,12,1,7,30,0,0,0,5.300000000000001,8,92.37,880,-4 -2012,12,1,8,30,75,52,161,5.6000000000000005,10,81.75,880,-3 -2012,12,1,9,30,179,125,179,5.7,13,72.3,880,-2 -2012,12,1,10,30,306,180,293,6.4,17,64.59,890,-1 -2012,12,1,11,30,340,237,202,7,20,59.32,880,-1 -2012,12,1,12,30,460,209,462,6.6000000000000005,21,57.17,880,-2 -2012,12,1,13,30,488,129,687,6.1000000000000005,22,58.52,880,-2 -2012,12,1,14,30,474,60,915,5.6000000000000005,22,63.120000000000005,880,-2 -2012,12,1,15,30,336,51,848,4.2,21,70.33,880,-2 -2012,12,1,16,30,162,37,682,2.3000000000000003,17,79.42,880,0 -2012,12,1,17,30,0,0,0,1.5,14,89.81,880,0 -2012,12,1,18,30,0,0,0,1.4000000000000001,13,101.07000000000001,880,0 -2012,12,1,19,30,0,0,0,1.1,12,112.88,890,-1 -2012,12,1,20,30,0,0,0,0.9,11,125.02,890,-1 -2012,12,1,21,30,0,0,0,0.8,10,137.26,890,-1 -2012,12,1,22,30,0,0,0,0.7000000000000001,10,149.29,890,0 -2012,12,1,23,30,0,0,0,0.6000000000000001,10,160.25,890,0 -2012,12,2,0,30,0,0,0,0.6000000000000001,10,166.71,890,0 -2012,12,2,1,30,0,0,0,0.5,9,162.49,890,0 -2012,12,2,2,30,0,0,0,0.4,9,152.12,890,0 -2012,12,2,3,30,0,0,0,0.4,8,140.23,890,0 -2012,12,2,4,30,0,0,0,0.5,7,128.01,890,0 -2012,12,2,5,30,0,0,0,0.8,6,115.83,890,-1 -2012,12,2,6,30,0,0,0,1.1,5,103.93,890,-1 -2012,12,2,7,30,0,0,0,1.4000000000000001,5,92.53,890,-1 -2012,12,2,8,30,86,46,284,2.5,7,81.91,890,-1 -2012,12,2,9,30,202,115,288,3.3000000000000003,10,72.47,890,-1 -2012,12,2,10,30,324,167,368,3.5,14,64.76,890,-1 -2012,12,2,11,30,413,199,421,4.6000000000000005,18,59.480000000000004,890,-1 -2012,12,2,12,30,532,107,788,5.7,21,57.32,890,-3 -2012,12,2,13,30,500,114,740,6.2,22,58.64,880,-4 -2012,12,2,14,30,409,110,664,6.300000000000001,23,63.21,880,-4 -2012,12,2,15,30,316,52,786,5.6000000000000005,22,70.39,880,-5 -2012,12,2,16,30,83,69,71,3.9000000000000004,19,79.46000000000001,880,-5 -2012,12,2,17,30,0,0,0,3.1,15,89.83,880,-4 -2012,12,2,18,30,0,0,0,3.5,14,101.07000000000001,880,-4 -2012,12,2,19,30,0,0,0,3.8000000000000003,13,112.87,880,-5 -2012,12,2,20,30,0,0,0,4,12,125.01,880,-6 -2012,12,2,21,30,0,0,0,4.3,11,137.25,880,-6 -2012,12,2,22,30,0,0,0,4.7,10,149.29,880,-6 -2012,12,2,23,30,0,0,0,4.9,9,160.29,880,-6 -2012,12,3,0,30,0,0,0,5,9,166.84,880,-6 -2012,12,3,1,30,0,0,0,5,8,162.66,880,-7 -2012,12,3,2,30,0,0,0,5,8,152.27,880,-7 -2012,12,3,3,30,0,0,0,4.9,8,140.38,880,-7 -2012,12,3,4,30,0,0,0,4.800000000000001,8,128.16,880,-7 -2012,12,3,5,30,0,0,0,4.800000000000001,8,115.98,880,-6 -2012,12,3,6,30,0,0,0,5,9,104.08,880,-6 -2012,12,3,7,30,0,0,0,5.300000000000001,9,92.69,880,-5 -2012,12,3,8,30,74,49,183,5.800000000000001,11,82.07000000000001,880,-3 -2012,12,3,9,30,286,48,795,6.2,15,72.64,880,-1 -2012,12,3,10,30,430,59,876,6.5,18,64.92,880,0 -2012,12,3,11,30,410,199,417,6,20,59.64,880,1 -2012,12,3,12,30,440,217,414,4.9,21,57.46,880,1 -2012,12,3,13,30,423,206,419,4.2,21,58.75,880,2 -2012,12,3,14,30,348,177,380,4,20,63.29,880,2 -2012,12,3,15,30,189,142,140,4,19,70.45,880,3 -2012,12,3,16,30,85,69,86,4.1000000000000005,17,79.5,880,3 -2012,12,3,17,30,0,0,0,4.5,15,89.84,890,3 -2012,12,3,18,30,0,0,0,4.6000000000000005,13,101.07000000000001,890,3 -2012,12,3,19,30,0,0,0,4.5,11,112.86,890,2 -2012,12,3,20,30,0,0,0,4.5,10,124.99000000000001,890,1 -2012,12,3,21,30,0,0,0,4.3,8,137.23,890,1 -2012,12,3,22,30,0,0,0,3.6,7,149.28,890,1 -2012,12,3,23,30,0,0,0,3,7,160.32,890,1 -2012,12,4,0,30,0,0,0,2.5,6,166.96,890,1 -2012,12,4,1,30,0,0,0,2.5,6,162.82,890,2 -2012,12,4,2,30,0,0,0,2.6,6,152.42000000000002,890,2 -2012,12,4,3,30,0,0,0,2.4000000000000004,5,140.53,890,2 -2012,12,4,4,30,0,0,0,2,4,128.3,890,2 -2012,12,4,5,30,0,0,0,1.6,4,116.13,890,2 -2012,12,4,6,30,0,0,0,1.4000000000000001,3,104.24000000000001,900,2 -2012,12,4,7,30,0,0,0,1.3,3,92.84,900,1 -2012,12,4,8,30,66,49,128,1.7000000000000002,5,82.23,900,0 -2012,12,4,9,30,287,50,802,2.2,8,72.8,900,-2 -2012,12,4,10,30,439,59,901,2,11,65.09,900,-5 -2012,12,4,11,30,540,63,948,1.4000000000000001,12,59.79,900,-7 -2012,12,4,12,30,508,129,707,0.6000000000000001,14,57.6,900,-7 -2012,12,4,13,30,557,68,945,0.4,15,58.86,900,-7 -2012,12,4,14,30,472,63,912,0.9,16,63.370000000000005,890,-6 -2012,12,4,15,30,333,55,832,1,15,70.49,890,-5 -2012,12,4,16,30,159,40,655,1,13,79.52,890,-3 -2012,12,4,17,30,0,0,0,1.1,10,89.85000000000001,890,-2 -2012,12,4,18,30,0,0,0,1.2000000000000002,8,101.07000000000001,890,-3 -2012,12,4,19,30,0,0,0,1.4000000000000001,6,112.85000000000001,890,-4 -2012,12,4,20,30,0,0,0,1.7000000000000002,6,124.97,890,-4 -2012,12,4,21,30,0,0,0,1.8,5,137.21,890,-5 -2012,12,4,22,30,0,0,0,1.8,5,149.27,890,-5 -2012,12,4,23,30,0,0,0,1.8,4,160.34,900,-5 -2012,12,5,0,30,0,0,0,1.9000000000000001,4,167.07,890,-5 -2012,12,5,1,30,0,0,0,2.1,4,162.98,890,-5 -2012,12,5,2,30,0,0,0,2.2,3,152.57,890,-5 -2012,12,5,3,30,0,0,0,2.3000000000000003,3,140.67000000000002,890,-6 -2012,12,5,4,30,0,0,0,2.5,3,128.44,890,-6 -2012,12,5,5,30,0,0,0,2.7,3,116.27,890,-6 -2012,12,5,6,30,0,0,0,2.9000000000000004,3,104.38,890,-6 -2012,12,5,7,30,0,0,0,3.3000000000000003,3,93,890,-6 -2012,12,5,8,30,62,48,103,3.8000000000000003,5,82.39,890,-5 -2012,12,5,9,30,183,117,225,4.1000000000000005,7,72.95,890,-5 -2012,12,5,10,30,339,146,462,4.9,10,65.24,890,-4 -2012,12,5,11,30,440,156,568,5.800000000000001,13,59.94,890,-4 -2012,12,5,12,30,487,153,624,6.1000000000000005,15,57.730000000000004,890,-3 -2012,12,5,13,30,469,144,629,6.1000000000000005,16,58.96,890,-3 -2012,12,5,14,30,463,60,902,5.800000000000001,17,63.440000000000005,890,-3 -2012,12,5,15,30,328,51,832,5,17,70.54,890,-3 -2012,12,5,16,30,157,37,662,3.8000000000000003,15,79.54,880,-2 -2012,12,5,17,30,0,0,0,3.6,12,89.85000000000001,880,-2 -2012,12,5,18,30,0,0,0,4.4,11,101.05,880,-2 -2012,12,5,19,30,0,0,0,4.800000000000001,10,112.82000000000001,880,-2 -2012,12,5,20,30,0,0,0,4.800000000000001,10,124.94,880,-2 -2012,12,5,21,30,0,0,0,4.6000000000000005,9,137.18,880,-2 -2012,12,5,22,30,0,0,0,4.6000000000000005,8,149.25,880,-2 -2012,12,5,23,30,0,0,0,4.5,7,160.35,880,-2 -2012,12,6,0,30,0,0,0,4.2,7,167.18,880,-2 -2012,12,6,1,30,0,0,0,4,7,163.13,880,-2 -2012,12,6,2,30,0,0,0,4,7,152.72,880,-2 -2012,12,6,3,30,0,0,0,4.1000000000000005,7,140.81,880,-3 -2012,12,6,4,30,0,0,0,4.4,6,128.59,880,-3 -2012,12,6,5,30,0,0,0,4.6000000000000005,6,116.42,880,-3 -2012,12,6,6,30,0,0,0,4.4,6,104.53,880,-3 -2012,12,6,7,30,0,0,0,4.4,6,93.14,880,-4 -2012,12,6,8,30,64,47,134,4.6000000000000005,8,82.54,880,-4 -2012,12,6,9,30,215,97,407,4.5,12,73.11,880,-4 -2012,12,6,10,30,427,65,870,4.800000000000001,15,65.39,880,-3 -2012,12,6,11,30,526,73,908,5.1000000000000005,17,60.08,880,-1 -2012,12,6,12,30,566,75,923,4.9,18,57.85,880,0 -2012,12,6,13,30,472,139,646,4.800000000000001,18,59.050000000000004,880,0 -2012,12,6,14,30,346,175,382,4.6000000000000005,18,63.5,880,0 -2012,12,6,15,30,214,136,234,4.1000000000000005,17,70.57000000000001,880,0 -2012,12,6,16,30,106,65,222,2.9000000000000004,14,79.55,880,0 -2012,12,6,17,30,0,0,0,2.3000000000000003,11,89.85000000000001,880,1 -2012,12,6,18,30,0,0,0,2.6,9,101.04,880,0 -2012,12,6,19,30,0,0,0,2.7,8,112.8,880,0 -2012,12,6,20,30,0,0,0,2.3000000000000003,7,124.9,880,0 -2012,12,6,21,30,0,0,0,1.7000000000000002,5,137.15,880,0 -2012,12,6,22,30,0,0,0,1.3,5,149.22,880,0 -2012,12,6,23,30,0,0,0,1.1,4,160.36,880,0 -2012,12,7,0,30,0,0,0,1,3,167.28,880,0 -2012,12,7,1,30,0,0,0,1,3,163.28,880,-1 -2012,12,7,2,30,0,0,0,1.1,3,152.86,880,-1 -2012,12,7,3,30,0,0,0,1,2,140.95000000000002,880,-1 -2012,12,7,4,30,0,0,0,0.9,2,128.73,880,-1 -2012,12,7,5,30,0,0,0,0.9,2,116.56,880,-1 -2012,12,7,6,30,0,0,0,0.9,1,104.67,880,-1 -2012,12,7,7,30,0,0,0,1.3,1,93.29,880,-1 -2012,12,7,8,30,69,44,195,1.7000000000000002,3,82.69,880,-1 -2012,12,7,9,30,269,60,725,1.9000000000000001,5,73.26,880,-1 -2012,12,7,10,30,420,69,845,2.3000000000000003,8,65.53,880,-1 -2012,12,7,11,30,524,72,908,3,11,60.21,880,-1 -2012,12,7,12,30,569,73,934,3.6,14,57.96,880,-1 -2012,12,7,13,30,550,70,934,3.9000000000000004,16,59.14,880,-1 -2012,12,7,14,30,467,65,904,3.8000000000000003,17,63.56,880,-1 -2012,12,7,15,30,331,55,832,2.8000000000000003,16,70.60000000000001,880,-1 -2012,12,7,16,30,158,40,655,1.4000000000000001,14,79.56,880,0 -2012,12,7,17,30,0,0,0,0.7000000000000001,12,89.84,880,0 -2012,12,7,18,30,0,0,0,0.5,11,101.01,880,-1 -2012,12,7,19,30,0,0,0,0.8,9,112.76,880,0 -2012,12,7,20,30,0,0,0,1.1,7,124.87,880,0 -2012,12,7,21,30,0,0,0,1.4000000000000001,5,137.11,880,0 -2012,12,7,22,30,0,0,0,1.8,4,149.19,880,0 -2012,12,7,23,30,0,0,0,2.3000000000000003,3,160.36,880,0 -2012,12,8,0,30,0,0,0,2.6,2,167.37,880,0 -2012,12,8,1,30,0,0,0,2.5,1,163.43,880,0 -2012,12,8,2,30,0,0,0,2.3000000000000003,0,153.01,880,0 -2012,12,8,3,30,0,0,0,2.1,0,141.09,880,0 -2012,12,8,4,30,0,0,0,2.3000000000000003,0,128.86,880,0 -2012,12,8,5,30,0,0,0,2.4000000000000004,0,116.7,880,0 -2012,12,8,6,30,0,0,0,2.2,0,104.81,880,0 -2012,12,8,7,30,0,0,0,2.1,0,93.43,880,0 -2012,12,8,8,30,96,36,481,2.2,1,82.83,880,0 -2012,12,8,9,30,56,56,0,2.4000000000000004,2,73.4,880,0 -2012,12,8,10,30,87,87,0,2.9000000000000004,5,65.67,880,1 -2012,12,8,11,30,522,78,897,3.9000000000000004,9,60.34,880,1 -2012,12,8,12,30,568,75,932,4.9,12,58.06,880,0 -2012,12,8,13,30,549,70,935,5.800000000000001,15,59.22,880,0 -2012,12,8,14,30,467,64,906,6.1000000000000005,16,63.61,880,-1 -2012,12,8,15,30,330,54,832,5.5,16,70.62,880,-2 -2012,12,8,16,30,159,39,664,3.9000000000000004,14,79.56,880,-3 -2012,12,8,17,30,0,0,0,3.1,12,89.82000000000001,880,-3 -2012,12,8,18,30,0,0,0,3.5,11,100.98,880,-3 -2012,12,8,19,30,0,0,0,4,10,112.73,880,-3 -2012,12,8,20,30,0,0,0,4.2,9,124.82000000000001,880,-4 -2012,12,8,21,30,0,0,0,4.1000000000000005,8,137.06,880,-4 -2012,12,8,22,30,0,0,0,4,7,149.16,880,-4 -2012,12,8,23,30,0,0,0,3.8000000000000003,6,160.35,880,-4 -2012,12,9,0,30,0,0,0,3.6,5,167.45000000000002,880,-5 -2012,12,9,1,30,0,0,0,3.8000000000000003,4,163.57,880,-5 -2012,12,9,2,30,0,0,0,4.7,3,153.15,880,-5 -2012,12,9,3,30,0,0,0,6,1,141.23,880,-2 -2012,12,9,4,30,0,0,0,6.7,0,129,880,-1 -2012,12,9,5,30,0,0,0,6.6000000000000005,0,116.83,880,-2 -2012,12,9,6,30,0,0,0,5.9,0,104.95,880,-5 -2012,12,9,7,30,0,0,0,5.6000000000000005,0,93.57000000000001,890,-7 -2012,12,9,8,30,49,43,41,6,0,82.97,890,-9 -2012,12,9,9,30,275,51,788,6.4,0,73.54,890,-11 -2012,12,9,10,30,335,139,480,6.300000000000001,2,65.81,890,-11 -2012,12,9,11,30,527,71,926,6.1000000000000005,3,60.46,890,-11 -2012,12,9,12,30,568,77,931,5.9,3,58.160000000000004,890,-11 -2012,12,9,13,30,546,79,914,5.7,4,59.29,890,-11 -2012,12,9,14,30,460,78,862,5.800000000000001,3,63.65,890,-12 -2012,12,9,15,30,283,84,601,6.2,1,70.64,890,-12 -2012,12,9,16,30,51,51,0,6.6000000000000005,0,79.55,890,-11 -2012,12,9,17,30,0,0,0,6.6000000000000005,-1,89.8,890,-11 -2012,12,9,18,30,0,0,0,6.6000000000000005,-2,100.95,890,-11 -2012,12,9,19,30,0,0,0,6.800000000000001,-2,112.68,890,-12 -2012,12,9,20,30,0,0,0,6.800000000000001,-3,124.77,890,-12 -2012,12,9,21,30,0,0,0,6.2,-3,137.01,890,-12 -2012,12,9,22,30,0,0,0,5.300000000000001,-3,149.11,890,-12 -2012,12,9,23,30,0,0,0,4.6000000000000005,-3,160.34,890,-13 -2012,12,10,0,30,0,0,0,3.9000000000000004,-4,167.52,890,-15 -2012,12,10,1,30,0,0,0,3.2,-5,163.70000000000002,890,-15 -2012,12,10,2,30,0,0,0,2.8000000000000003,-6,153.28,890,-15 -2012,12,10,3,30,0,0,0,2.5,-7,141.36,890,-16 -2012,12,10,4,30,0,0,0,2.3000000000000003,-7,129.13,890,-16 -2012,12,10,5,30,0,0,0,2.2,-8,116.97,890,-16 -2012,12,10,6,30,0,0,0,2.1,-8,105.09,890,-16 -2012,12,10,7,30,0,0,0,2.3000000000000003,-7,93.71000000000001,890,-16 -2012,12,10,8,30,105,33,601,2.7,-5,83.11,890,-16 -2012,12,10,9,30,293,56,844,3,-2,73.67,890,-16 -2012,12,10,10,30,454,69,943,3.5,0,65.93,890,-17 -2012,12,10,11,30,562,76,989,3.7,1,60.57,890,-18 -2012,12,10,12,30,607,83,996,3.6,2,58.25,890,-18 -2012,12,10,13,30,585,80,990,3.4000000000000004,3,59.35,880,-18 -2012,12,10,14,30,497,72,959,3.1,4,63.68,880,-18 -2012,12,10,15,30,353,60,886,2.4000000000000004,3,70.65,880,-18 -2012,12,10,16,30,172,41,719,1.3,1,79.54,880,-16 -2012,12,10,17,30,0,0,0,1,0,89.77,880,-14 -2012,12,10,18,30,0,0,0,1.2000000000000002,-1,100.91,880,-16 -2012,12,10,19,30,0,0,0,1.5,-2,112.63,880,-16 -2012,12,10,20,30,0,0,0,1.9000000000000001,-3,124.72,880,-16 -2012,12,10,21,30,0,0,0,2.2,-3,136.96,880,-16 -2012,12,10,22,30,0,0,0,2.3000000000000003,-3,149.06,880,-15 -2012,12,10,23,30,0,0,0,2.1,-3,160.32,880,-15 -2012,12,11,0,30,0,0,0,1.7000000000000002,-3,167.58,880,-14 -2012,12,11,1,30,0,0,0,1.2000000000000002,-3,163.83,880,-13 -2012,12,11,2,30,0,0,0,1,-3,153.42000000000002,880,-13 -2012,12,11,3,30,0,0,0,1,-3,141.49,880,-13 -2012,12,11,4,30,0,0,0,1.1,-4,129.27,880,-13 -2012,12,11,5,30,0,0,0,1.1,-4,117.10000000000001,880,-13 -2012,12,11,6,30,0,0,0,1.1,-4,105.22,890,-13 -2012,12,11,7,30,0,0,0,1.1,-3,93.84,890,-13 -2012,12,11,8,30,53,42,93,1.4000000000000001,-2,83.24,890,-13 -2012,12,11,9,30,279,51,820,1.6,0,73.8,890,-14 -2012,12,11,10,30,435,61,921,2,3,66.05,890,-14 -2012,12,11,11,30,540,67,966,2.2,5,60.67,890,-15 -2012,12,11,12,30,585,68,983,1.8,6,58.34,890,-15 -2012,12,11,13,30,564,68,973,1.4000000000000001,7,59.410000000000004,890,-15 -2012,12,11,14,30,480,64,938,1.3,7,63.71,890,-15 -2012,12,11,15,30,343,53,875,1.2000000000000002,6,70.65,890,-14 -2012,12,11,16,30,168,39,709,1.1,3,79.52,890,-12 -2012,12,11,17,30,0,0,0,1.2000000000000002,0,89.74,890,-11 -2012,12,11,18,30,0,0,0,1.5,0,100.86,890,-13 -2012,12,11,19,30,0,0,0,1.7000000000000002,-1,112.58,890,-13 -2012,12,11,20,30,0,0,0,2,-2,124.66,890,-13 -2012,12,11,21,30,0,0,0,2.3000000000000003,-2,136.9,890,-13 -2012,12,11,22,30,0,0,0,2.7,-2,149.01,890,-13 -2012,12,11,23,30,0,0,0,3.1,-2,160.29,890,-13 -2012,12,12,0,30,0,0,0,3.6,-2,167.63,890,-13 -2012,12,12,1,30,0,0,0,3.9000000000000004,-2,163.96,890,-13 -2012,12,12,2,30,0,0,0,4.1000000000000005,-2,153.55,890,-12 -2012,12,12,3,30,0,0,0,4.1000000000000005,-2,141.62,890,-12 -2012,12,12,4,30,0,0,0,4.1000000000000005,-3,129.39000000000001,890,-12 -2012,12,12,5,30,0,0,0,4.3,-3,117.23,890,-12 -2012,12,12,6,30,0,0,0,4.5,-3,105.35000000000001,890,-12 -2012,12,12,7,30,0,0,0,4.9,-2,93.97,890,-12 -2012,12,12,8,30,54,41,112,5.2,-1,83.37,890,-12 -2012,12,12,9,30,275,44,836,5.1000000000000005,2,73.92,890,-11 -2012,12,12,10,30,430,52,934,5.6000000000000005,7,66.17,890,-11 -2012,12,12,11,30,535,56,980,6.300000000000001,10,60.77,890,-11 -2012,12,12,12,30,580,62,988,6.1000000000000005,12,58.410000000000004,880,-11 -2012,12,12,13,30,561,60,985,5.6000000000000005,13,59.46,880,-11 -2012,12,12,14,30,478,55,956,5.1000000000000005,14,63.730000000000004,880,-11 -2012,12,12,15,30,341,52,872,3.7,13,70.64,880,-11 -2012,12,12,16,30,167,38,704,2.4000000000000004,9,79.5,880,-9 -2012,12,12,17,30,0,0,0,2.3000000000000003,6,89.7,890,-9 -2012,12,12,18,30,0,0,0,2.9000000000000004,5,100.81,890,-9 -2012,12,12,19,30,0,0,0,3.4000000000000004,5,112.52,890,-10 -2012,12,12,20,30,0,0,0,3.8000000000000003,4,124.60000000000001,890,-10 -2012,12,12,21,30,0,0,0,4,3,136.84,890,-10 -2012,12,12,22,30,0,0,0,4.1000000000000005,3,148.95000000000002,890,-10 -2012,12,12,23,30,0,0,0,4,2,160.25,890,-10 -2012,12,13,0,30,0,0,0,3.8000000000000003,2,167.68,890,-10 -2012,12,13,1,30,0,0,0,3.6,1,164.08,890,-10 -2012,12,13,2,30,0,0,0,3.4000000000000004,0,153.67000000000002,890,-10 -2012,12,13,3,30,0,0,0,3.1,0,141.75,890,-11 -2012,12,13,4,30,0,0,0,2.8000000000000003,0,129.52,890,-11 -2012,12,13,5,30,0,0,0,2.6,0,117.36,890,-11 -2012,12,13,6,30,0,0,0,2.5,0,105.48,890,-11 -2012,12,13,7,30,0,0,0,2.7,0,94.10000000000001,890,-11 -2012,12,13,8,30,52,40,100,3.4000000000000004,2,83.49,890,-11 -2012,12,13,9,30,278,47,841,3.5,6,74.04,890,-11 -2012,12,13,10,30,434,55,941,3,10,66.28,890,-11 -2012,12,13,11,30,540,60,986,3.6,14,60.870000000000005,890,-10 -2012,12,13,12,30,585,62,1001,4.5,17,58.480000000000004,890,-11 -2012,12,13,13,30,565,61,992,4.9,18,59.5,890,-11 -2012,12,13,14,30,481,58,956,4.7,18,63.74,890,-12 -2012,12,13,15,30,342,51,878,3.3000000000000003,16,70.63,890,-11 -2012,12,13,16,30,167,38,706,2.1,12,79.47,890,-7 -2012,12,13,17,30,0,0,0,2.1,9,89.65,890,-7 -2012,12,13,18,30,0,0,0,2.5,7,100.75,890,-7 -2012,12,13,19,30,0,0,0,3,7,112.46000000000001,890,-6 -2012,12,13,20,30,0,0,0,3.3000000000000003,6,124.53,890,-5 -2012,12,13,21,30,0,0,0,3.5,6,136.77,890,-5 -2012,12,13,22,30,0,0,0,3.6,5,148.89000000000001,890,-4 -2012,12,13,23,30,0,0,0,3.4000000000000004,5,160.21,890,-3 -2012,12,14,0,30,0,0,0,3.4000000000000004,4,167.71,890,-2 -2012,12,14,1,30,0,0,0,3.5,4,164.19,890,0 -2012,12,14,2,30,0,0,0,3.3000000000000003,4,153.8,880,1 -2012,12,14,3,30,0,0,0,3.2,4,141.88,880,3 -2012,12,14,4,30,0,0,0,3.7,5,129.64000000000001,880,4 -2012,12,14,5,30,0,0,0,4.3,5,117.48,880,4 -2012,12,14,6,30,0,0,0,4.4,6,105.60000000000001,880,5 -2012,12,14,7,30,0,0,0,4.2,6,94.22,880,6 -2012,12,14,8,30,8,8,0,4.2,7,83.61,880,6 -2012,12,14,9,30,143,112,114,5,8,74.16,880,7 -2012,12,14,10,30,170,158,30,6.1000000000000005,10,66.38,880,7 -2012,12,14,11,30,345,217,264,7.1000000000000005,12,60.95,880,8 -2012,12,14,12,30,427,210,416,8,14,58.550000000000004,880,8 -2012,12,14,13,30,521,78,874,8.3,15,59.53,870,8 -2012,12,14,14,30,360,162,447,8.3,16,63.75,870,8 -2012,12,14,15,30,119,117,5,8.6,15,70.61,870,8 -2012,12,14,16,30,40,40,0,9.3,12,79.43,870,8 -2012,12,14,17,30,0,0,0,9.3,9,89.60000000000001,870,4 -2012,12,14,18,30,0,0,0,9.3,8,100.69,870,1 -2012,12,14,19,30,0,0,0,9.600000000000001,8,112.39,880,-1 -2012,12,14,20,30,0,0,0,9.8,7,124.46000000000001,880,-4 -2012,12,14,21,30,0,0,0,10.100000000000001,7,136.69,880,-5 -2012,12,14,22,30,0,0,0,10.200000000000001,7,148.82,880,-5 -2012,12,14,23,30,0,0,0,10.100000000000001,6,160.16,880,-5 -2012,12,15,0,30,0,0,0,9.600000000000001,6,167.74,880,-4 -2012,12,15,1,30,0,0,0,8.8,5,164.3,880,-4 -2012,12,15,2,30,0,0,0,8.1,4,153.92000000000002,880,-4 -2012,12,15,3,30,0,0,0,7.300000000000001,4,142,880,-4 -2012,12,15,4,30,0,0,0,6.4,3,129.77,880,-4 -2012,12,15,5,30,0,0,0,5.6000000000000005,2,117.60000000000001,880,-4 -2012,12,15,6,30,0,0,0,5.1000000000000005,1,105.72,880,-4 -2012,12,15,7,30,0,0,0,5,1,94.34,880,-4 -2012,12,15,8,30,51,39,109,5.300000000000001,3,83.73,880,-4 -2012,12,15,9,30,264,45,809,5.800000000000001,6,74.27,880,-4 -2012,12,15,10,30,417,54,911,6.4,9,66.48,880,-5 -2012,12,15,11,30,523,58,959,6.7,12,61.03,880,-6 -2012,12,15,12,30,569,60,976,7.1000000000000005,13,58.6,880,-7 -2012,12,15,13,30,551,59,969,7.4,14,59.56,880,-7 -2012,12,15,14,30,470,58,933,7.4,14,63.75,880,-6 -2012,12,15,15,30,336,52,856,6.6000000000000005,13,70.59,880,-5 -2012,12,15,16,30,129,55,401,5.1000000000000005,11,79.39,880,-5 -2012,12,15,17,30,0,0,0,4,8,89.54,880,-4 -2012,12,15,18,30,0,0,0,4,7,100.63,880,-4 -2012,12,15,19,30,0,0,0,4.1000000000000005,6,112.32000000000001,880,-3 -2012,12,15,20,30,0,0,0,4,5,124.38000000000001,880,-3 -2012,12,15,21,30,0,0,0,3.9000000000000004,5,136.62,880,-3 -2012,12,15,22,30,0,0,0,3.9000000000000004,4,148.75,880,-3 -2012,12,15,23,30,0,0,0,4,4,160.11,880,-3 -2012,12,16,0,30,0,0,0,4.3,3,167.76,880,-3 -2012,12,16,1,30,0,0,0,4.6000000000000005,3,164.41,880,-3 -2012,12,16,2,30,0,0,0,4.9,3,154.03,880,-2 -2012,12,16,3,30,0,0,0,5.4,3,142.12,880,-2 -2012,12,16,4,30,0,0,0,5.9,3,129.88,880,-1 -2012,12,16,5,30,0,0,0,6.1000000000000005,2,117.72,880,-1 -2012,12,16,6,30,0,0,0,6.300000000000001,1,105.84,880,-1 -2012,12,16,7,30,0,0,0,6.300000000000001,1,94.45,880,-1 -2012,12,16,8,30,56,37,178,6.4,3,83.84,880,-1 -2012,12,16,9,30,270,43,840,6.800000000000001,5,74.37,880,-2 -2012,12,16,10,30,343,114,574,7.300000000000001,8,66.57000000000001,880,-4 -2012,12,16,11,30,403,179,463,7.6000000000000005,11,61.1,880,-8 -2012,12,16,12,30,363,241,232,7.6000000000000005,11,58.65,880,-9 -2012,12,16,13,30,362,230,260,7.300000000000001,11,59.57,880,-9 -2012,12,16,14,30,208,186,50,7,10,63.74,880,-8 -2012,12,16,15,30,178,141,111,6.5,10,70.56,880,-7 -2012,12,16,16,30,81,70,58,5.1000000000000005,8,79.34,880,-6 -2012,12,16,17,30,0,0,0,3.9000000000000004,6,89.48,880,-5 -2012,12,16,18,30,0,0,0,4,4,100.56,880,-5 -2012,12,16,19,30,0,0,0,4.4,4,112.24000000000001,880,-6 -2012,12,16,20,30,0,0,0,5.1000000000000005,3,124.3,880,-6 -2012,12,16,21,30,0,0,0,5.4,2,136.53,880,-7 -2012,12,16,22,30,0,0,0,5.5,1,148.67000000000002,880,-7 -2012,12,16,23,30,0,0,0,5.6000000000000005,1,160.05,880,-8 -2012,12,17,0,30,0,0,0,5.4,0,167.77,880,-8 -2012,12,17,1,30,0,0,0,4.800000000000001,0,164.5,880,-8 -2012,12,17,2,30,0,0,0,4.2,0,154.15,880,-8 -2012,12,17,3,30,0,0,0,4,-1,142.23,880,-8 -2012,12,17,4,30,0,0,0,3.9000000000000004,-2,130,880,-9 -2012,12,17,5,30,0,0,0,3.7,-2,117.83,880,-9 -2012,12,17,6,30,0,0,0,3.3000000000000003,-2,105.95,880,-9 -2012,12,17,7,30,0,0,0,3.5,-2,94.56,880,-8 -2012,12,17,8,30,44,37,62,4,-1,83.94,880,-8 -2012,12,17,9,30,179,99,297,4.4,2,74.47,880,-8 -2012,12,17,10,30,306,147,399,4.9,6,66.65,880,-7 -2012,12,17,11,30,390,185,424,5.4,9,61.17,880,-8 -2012,12,17,12,30,492,126,703,5.6000000000000005,11,58.69,880,-8 -2012,12,17,13,30,556,63,972,5.7,12,59.58,880,-7 -2012,12,17,14,30,476,60,940,5.6000000000000005,13,63.72,880,-7 -2012,12,17,15,30,342,52,868,4.6000000000000005,12,70.52,880,-7 -2012,12,17,16,30,170,38,707,2.9000000000000004,9,79.28,880,-6 -2012,12,17,17,30,0,0,0,2.5,6,89.41,880,-5 -2012,12,17,18,30,0,0,0,3.6,6,100.48,880,-5 -2012,12,17,19,30,0,0,0,4.800000000000001,6,112.16,880,-5 -2012,12,17,20,30,0,0,0,5.300000000000001,5,124.22,880,-5 -2012,12,17,21,30,0,0,0,5.300000000000001,4,136.45,880,-5 -2012,12,17,22,30,0,0,0,5.1000000000000005,4,148.59,880,-5 -2012,12,17,23,30,0,0,0,4.9,3,159.98,880,-5 -2012,12,18,0,30,0,0,0,4.800000000000001,2,167.77,880,-4 -2012,12,18,1,30,0,0,0,4.6000000000000005,2,164.59,880,-4 -2012,12,18,2,30,0,0,0,4.4,1,154.26,880,-4 -2012,12,18,3,30,0,0,0,4,1,142.34,880,-4 -2012,12,18,4,30,0,0,0,3.5,0,130.11,880,-3 -2012,12,18,5,30,0,0,0,3.1,0,117.95,880,-3 -2012,12,18,6,30,0,0,0,2.9000000000000004,0,106.06,880,-3 -2012,12,18,7,30,0,0,0,3,0,94.67,880,-3 -2012,12,18,8,30,46,37,91,3.6,2,84.04,880,-3 -2012,12,18,9,30,184,94,336,3.7,6,74.56,880,-3 -2012,12,18,10,30,331,124,521,3.5,9,66.73,880,-3 -2012,12,18,11,30,443,121,668,3.3000000000000003,12,61.230000000000004,880,-4 -2012,12,18,12,30,492,125,705,2.6,14,58.72,880,-5 -2012,12,18,13,30,470,130,670,1.9000000000000001,15,59.59,880,-6 -2012,12,18,14,30,320,187,300,2,15,63.7,880,-6 -2012,12,18,15,30,302,65,709,1.7000000000000002,14,70.47,880,-7 -2012,12,18,16,30,170,39,702,1.2000000000000002,11,79.22,880,-2 -2012,12,18,17,30,0,0,0,1.3,8,89.34,880,-3 -2012,12,18,18,30,0,0,0,1.4000000000000001,6,100.4,880,-4 -2012,12,18,19,30,0,0,0,1.7000000000000002,6,112.07000000000001,880,-4 -2012,12,18,20,30,0,0,0,2,6,124.13000000000001,880,-4 -2012,12,18,21,30,0,0,0,2.2,6,136.36,880,-4 -2012,12,18,22,30,0,0,0,2.4000000000000004,6,148.5,880,-4 -2012,12,18,23,30,0,0,0,2.7,6,159.91,880,-4 -2012,12,19,0,30,0,0,0,3.1,6,167.76,880,-4 -2012,12,19,1,30,0,0,0,3.2,6,164.68,880,-5 -2012,12,19,2,30,0,0,0,3,6,154.36,880,-5 -2012,12,19,3,30,0,0,0,3.2,6,142.45000000000002,880,-4 -2012,12,19,4,30,0,0,0,3.8000000000000003,6,130.22,870,-4 -2012,12,19,5,30,0,0,0,4.2,7,118.05,870,-3 -2012,12,19,6,30,0,0,0,4.4,7,106.17,870,-3 -2012,12,19,7,30,0,0,0,4.800000000000001,8,94.77,870,-3 -2012,12,19,8,30,10,10,0,5.1000000000000005,9,84.14,870,-3 -2012,12,19,9,30,217,66,572,5.4,11,74.64,870,-3 -2012,12,19,10,30,348,103,622,5.800000000000001,13,66.8,870,-2 -2012,12,19,11,30,506,63,922,7,15,61.28,870,-1 -2012,12,19,12,30,554,66,940,8.8,16,58.74,870,1 -2012,12,19,13,30,406,208,390,9.9,15,59.58,870,0 -2012,12,19,14,30,94,94,0,10.4,13,63.67,870,-2 -2012,12,19,15,30,110,110,0,9.9,11,70.42,870,-8 -2012,12,19,16,30,124,62,331,8.200000000000001,8,79.16,870,-11 -2012,12,19,17,30,0,0,0,8.8,3,89.26,880,-8 -2012,12,19,18,30,0,0,0,10.600000000000001,0,100.31,880,-7 -2012,12,19,19,30,0,0,0,10.600000000000001,0,111.98,880,-8 -2012,12,19,20,30,0,0,0,10.3,-1,124.03,890,-10 -2012,12,19,21,30,0,0,0,9.600000000000001,-2,136.26,890,-10 -2012,12,19,22,30,0,0,0,8.6,-3,148.41,890,-11 -2012,12,19,23,30,0,0,0,7.800000000000001,-3,159.83,890,-12 -2012,12,20,0,30,0,0,0,7,-3,167.75,890,-13 -2012,12,20,1,30,0,0,0,6.1000000000000005,-4,164.76,890,-14 -2012,12,20,2,30,0,0,0,5.2,-4,154.46,890,-14 -2012,12,20,3,30,0,0,0,4.5,-5,142.56,890,-14 -2012,12,20,4,30,0,0,0,4.3,-6,130.33,890,-14 -2012,12,20,5,30,0,0,0,4,-6,118.16,890,-14 -2012,12,20,6,30,0,0,0,3.8000000000000003,-6,106.27,890,-13 -2012,12,20,7,30,0,0,0,4,-5,94.87,900,-13 -2012,12,20,8,30,45,35,95,4.4,-3,84.23,900,-13 -2012,12,20,9,30,272,46,858,4.9,0,74.72,900,-13 -2012,12,20,10,30,433,56,959,5,2,66.87,900,-18 -2012,12,20,11,30,544,61,1004,4.6000000000000005,4,61.32,900,-21 -2012,12,20,12,30,593,63,1022,4.2,5,58.76,900,-21 -2012,12,20,13,30,577,62,1016,3.8000000000000003,6,59.57,900,-21 -2012,12,20,14,30,496,58,986,3.4000000000000004,7,63.63,890,-21 -2012,12,20,15,30,360,51,920,2.4000000000000004,6,70.36,890,-21 -2012,12,20,16,30,183,38,766,1.5,4,79.08,890,-14 -2012,12,20,17,30,0,0,0,1.3,1,89.18,900,-13 -2012,12,20,18,30,0,0,0,1.4000000000000001,0,100.22,900,-16 -2012,12,20,19,30,0,0,0,1.5,0,111.89,900,-16 -2012,12,20,20,30,0,0,0,1.6,-1,123.94,900,-16 -2012,12,20,21,30,0,0,0,1.8,-2,136.17000000000002,900,-16 -2012,12,20,22,30,0,0,0,2.2,-2,148.31,900,-17 -2012,12,20,23,30,0,0,0,2.5,-2,159.75,900,-17 -2012,12,21,0,30,0,0,0,2.8000000000000003,-2,167.72,890,-18 -2012,12,21,1,30,0,0,0,2.9000000000000004,-3,164.83,890,-18 -2012,12,21,2,30,0,0,0,3,-3,154.56,890,-18 -2012,12,21,3,30,0,0,0,3.3000000000000003,-3,142.66,890,-17 -2012,12,21,4,30,0,0,0,3.5,-3,130.43,890,-17 -2012,12,21,5,30,0,0,0,3.4000000000000004,-3,118.26,890,-16 -2012,12,21,6,30,0,0,0,3.5,-3,106.37,890,-15 -2012,12,21,7,30,0,0,0,4,-2,94.96000000000001,890,-14 -2012,12,21,8,30,47,35,121,4.5,0,84.32000000000001,890,-14 -2012,12,21,9,30,226,54,655,4.4,2,74.8,890,-14 -2012,12,21,10,30,428,56,949,4.3,6,66.92,890,-14 -2012,12,21,11,30,539,62,996,4.800000000000001,9,61.36,890,-14 -2012,12,21,12,30,589,65,1010,5.300000000000001,12,58.77,890,-15 -2012,12,21,13,30,573,65,1002,5.4,13,59.550000000000004,890,-17 -2012,12,21,14,30,493,61,970,5.1000000000000005,14,63.58,890,-18 -2012,12,21,15,30,358,53,904,3.6,12,70.3,890,-17 -2012,12,21,16,30,182,39,747,2.2,8,79,890,-12 -2012,12,21,17,30,0,0,0,2.1,5,89.09,890,-11 -2012,12,21,18,30,0,0,0,2.4000000000000004,4,100.13,890,-12 -2012,12,21,19,30,0,0,0,2.7,3,111.79,890,-13 -2012,12,21,20,30,0,0,0,3,2,123.83,890,-14 -2012,12,21,21,30,0,0,0,3.4000000000000004,1,136.06,890,-15 -2012,12,21,22,30,0,0,0,3.7,0,148.21,890,-15 -2012,12,21,23,30,0,0,0,3.8000000000000003,0,159.66,890,-15 -2012,12,22,0,30,0,0,0,3.8000000000000003,0,167.69,890,-15 -2012,12,22,1,30,0,0,0,3.8000000000000003,0,164.9,890,-15 -2012,12,22,2,30,0,0,0,3.7,0,154.66,890,-15 -2012,12,22,3,30,0,0,0,3.7,-1,142.76,890,-14 -2012,12,22,4,30,0,0,0,3.6,0,130.53,890,-14 -2012,12,22,5,30,0,0,0,3.5,0,118.36,890,-14 -2012,12,22,6,30,0,0,0,3.2,0,106.46000000000001,890,-14 -2012,12,22,7,30,0,0,0,3.2,0,95.05,890,-14 -2012,12,22,8,30,40,34,58,3.7,1,84.4,890,-14 -2012,12,22,9,30,171,97,285,3.7,3,74.87,890,-14 -2012,12,22,10,30,317,131,475,3.3000000000000003,6,66.98,890,-13 -2012,12,22,11,30,409,167,506,3.2,8,61.39,890,-12 -2012,12,22,12,30,454,174,539,3.4000000000000004,9,58.77,880,-12 -2012,12,22,13,30,494,101,775,3.6,10,59.53,880,-12 -2012,12,22,14,30,362,163,446,3.2,11,63.53,880,-11 -2012,12,22,15,30,267,109,468,2.3000000000000003,10,70.23,880,-10 -2012,12,22,16,30,7,7,0,1.8,7,78.92,880,-6 -2012,12,22,17,30,0,0,0,1.9000000000000001,5,89,880,-7 -2012,12,22,18,30,0,0,0,2.1,3,100.03,880,-8 -2012,12,22,19,30,0,0,0,2.2,2,111.68,880,-8 -2012,12,22,20,30,0,0,0,2.4000000000000004,2,123.73,880,-8 -2012,12,22,21,30,0,0,0,2.7,1,135.96,880,-9 -2012,12,22,22,30,0,0,0,2.7,0,148.11,880,-9 -2012,12,22,23,30,0,0,0,2.6,0,159.56,880,-9 -2012,12,23,0,30,0,0,0,2.6,0,167.65,880,-9 -2012,12,23,1,30,0,0,0,2.7,0,164.95000000000002,880,-9 -2012,12,23,2,30,0,0,0,2.9000000000000004,-1,154.74,880,-9 -2012,12,23,3,30,0,0,0,3.3000000000000003,-1,142.86,880,-9 -2012,12,23,4,30,0,0,0,3.5,-1,130.63,880,-8 -2012,12,23,5,30,0,0,0,3.7,-2,118.45,880,-8 -2012,12,23,6,30,0,0,0,3.9000000000000004,-2,106.55,880,-9 -2012,12,23,7,30,0,0,0,4.3,-1,95.14,880,-8 -2012,12,23,8,30,42,34,86,4.5,0,84.47,880,-8 -2012,12,23,9,30,262,45,835,4.4,3,74.93,880,-7 -2012,12,23,10,30,327,121,527,4.6000000000000005,7,67.02,880,-7 -2012,12,23,11,30,534,58,993,5.2,11,61.410000000000004,880,-7 -2012,12,23,12,30,585,61,1011,5.9,14,58.76,880,-8 -2012,12,23,13,30,571,61,1004,6.2,16,59.49,880,-10 -2012,12,23,14,30,492,58,970,5.7,17,63.47,880,-12 -2012,12,23,15,30,355,53,889,3.8000000000000003,15,70.15,880,-12 -2012,12,23,16,30,179,40,716,2.2,11,78.83,880,-8 -2012,12,23,17,30,15,10,222,2,7,88.9,880,-7 -2012,12,23,18,30,0,0,0,2.5,5,99.93,880,-8 -2012,12,23,19,30,0,0,0,2.4000000000000004,3,111.58,880,-9 -2012,12,23,20,30,0,0,0,1.8,1,123.62,880,-9 -2012,12,23,21,30,0,0,0,1.4000000000000001,0,135.85,880,-9 -2012,12,23,22,30,0,0,0,1.2000000000000002,0,148,880,-9 -2012,12,23,23,30,0,0,0,1.1,0,159.46,890,-9 -2012,12,24,0,30,0,0,0,1,1,167.6,880,-9 -2012,12,24,1,30,0,0,0,1,0,165.01,880,-8 -2012,12,24,2,30,0,0,0,1,0,154.83,880,-8 -2012,12,24,3,30,0,0,0,1,0,142.95000000000002,880,-8 -2012,12,24,4,30,0,0,0,1,0,130.72,880,-8 -2012,12,24,5,30,0,0,0,0.9,0,118.54,880,-8 -2012,12,24,6,30,0,0,0,0.9,0,106.64,880,-8 -2012,12,24,7,30,0,0,0,0.9,0,95.22,880,-8 -2012,12,24,8,30,34,32,16,1.5,0,84.54,880,-9 -2012,12,24,9,30,154,102,201,2.5,2,74.99,880,-9 -2012,12,24,10,30,345,97,635,3.1,4,67.06,880,-9 -2012,12,24,11,30,413,160,529,3.4000000000000004,6,61.42,880,-9 -2012,12,24,12,30,473,149,624,3.4000000000000004,8,58.75,880,-9 -2012,12,24,13,30,460,147,615,3.5,9,59.45,880,-9 -2012,12,24,14,30,411,106,682,3.3000000000000003,10,63.410000000000004,880,-8 -2012,12,24,15,30,255,123,388,2.7,9,70.07000000000001,880,-8 -2012,12,24,16,30,105,75,153,2.8000000000000003,7,78.74,880,-6 -2012,12,24,17,30,8,8,0,3.6,5,88.8,880,-6 -2012,12,24,18,30,0,0,0,3.9000000000000004,4,99.82000000000001,880,-6 -2012,12,24,19,30,0,0,0,3.7,3,111.47,880,-6 -2012,12,24,20,30,0,0,0,3.5,2,123.51,880,-6 -2012,12,24,21,30,0,0,0,3.6,1,135.74,880,-6 -2012,12,24,22,30,0,0,0,4,0,147.89000000000001,880,-6 -2012,12,24,23,30,0,0,0,4.4,0,159.36,880,-6 -2012,12,25,0,30,0,0,0,4.800000000000001,-1,167.54,880,-7 -2012,12,25,1,30,0,0,0,5.1000000000000005,-2,165.05,880,-7 -2012,12,25,2,30,0,0,0,5.300000000000001,-3,154.91,880,-7 -2012,12,25,3,30,0,0,0,5.7,-4,143.04,880,-7 -2012,12,25,4,30,0,0,0,6.2,-5,130.81,880,-8 -2012,12,25,5,30,0,0,0,6.7,-6,118.63,880,-9 -2012,12,25,6,30,0,0,0,7.1000000000000005,-7,106.72,880,-11 -2012,12,25,7,30,0,0,0,7.6000000000000005,-7,95.29,880,-12 -2012,12,25,8,30,57,45,126,8,-7,84.61,890,-13 -2012,12,25,9,30,74,74,0,8.3,-7,75.04,890,-13 -2012,12,25,10,30,92,92,0,8.700000000000001,-6,67.09,890,-14 -2012,12,25,11,30,506,155,735,8.8,-5,61.43,890,-13 -2012,12,25,12,30,287,239,92,8.6,-4,58.730000000000004,890,-13 -2012,12,25,13,30,547,159,762,8.3,-4,59.4,890,-13 -2012,12,25,14,30,470,144,728,7.9,-4,63.34,890,-13 -2012,12,25,15,30,338,115,650,7.4,-4,69.98,890,-13 -2012,12,25,16,30,170,71,499,6.6000000000000005,-5,78.64,890,-13 -2012,12,25,17,30,15,13,82,5.9,-6,88.69,890,-13 -2012,12,25,18,30,0,0,0,5.6000000000000005,-7,99.71000000000001,890,-13 -2012,12,25,19,30,0,0,0,5.5,-7,111.35000000000001,890,-13 -2012,12,25,20,30,0,0,0,5.1000000000000005,-7,123.39,890,-13 -2012,12,25,21,30,0,0,0,4.6000000000000005,-8,135.62,890,-13 -2012,12,25,22,30,0,0,0,4.1000000000000005,-8,147.77,890,-13 -2012,12,25,23,30,0,0,0,3.8000000000000003,-8,159.25,890,-13 -2012,12,26,0,30,0,0,0,3.4000000000000004,-8,167.47,890,-13 -2012,12,26,1,30,0,0,0,2.6,-8,165.09,890,-13 -2012,12,26,2,30,0,0,0,2.1,-7,154.98,890,-13 -2012,12,26,3,30,0,0,0,1.9000000000000001,-7,143.12,890,-13 -2012,12,26,4,30,0,0,0,1.8,-7,130.89000000000001,890,-13 -2012,12,26,5,30,0,0,0,1.4000000000000001,-6,118.71000000000001,890,-13 -2012,12,26,6,30,0,0,0,0.8,-6,106.8,890,-12 -2012,12,26,7,30,0,0,0,0.6000000000000001,-5,95.36,890,-12 -2012,12,26,8,30,14,14,0,1.3,-4,84.67,890,-12 -2012,12,26,9,30,124,103,78,2.2,-3,75.08,890,-11 -2012,12,26,10,30,201,168,84,3.1,-2,67.12,890,-11 -2012,12,26,11,30,351,208,299,3.9000000000000004,0,61.43,890,-11 -2012,12,26,12,30,426,208,420,4.5,0,58.7,890,-10 -2012,12,26,13,30,421,199,434,4.9,1,59.34,880,-9 -2012,12,26,14,30,363,169,431,5,2,63.26,880,-9 -2012,12,26,15,30,292,93,577,4.6000000000000005,1,69.88,880,-9 -2012,12,26,16,30,147,56,454,3.6,0,78.53,880,-8 -2012,12,26,17,30,14,14,0,3.5,0,88.58,880,-8 -2012,12,26,18,30,0,0,0,4.2,-1,99.59,880,-9 -2012,12,26,19,30,0,0,0,4.5,-1,111.24000000000001,880,-9 -2012,12,26,20,30,0,0,0,4.5,-2,123.27,880,-9 -2012,12,26,21,30,0,0,0,4.2,-2,135.5,880,-9 -2012,12,26,22,30,0,0,0,3.8000000000000003,-3,147.66,880,-9 -2012,12,26,23,30,0,0,0,3.8000000000000003,-3,159.14000000000001,880,-9 -2012,12,27,0,30,0,0,0,4.1000000000000005,-4,167.4,880,-9 -2012,12,27,1,30,0,0,0,4.3,-4,165.12,880,-9 -2012,12,27,2,30,0,0,0,4.4,-4,155.05,880,-9 -2012,12,27,3,30,0,0,0,4.4,-3,143.20000000000002,880,-9 -2012,12,27,4,30,0,0,0,4.7,-2,130.97,880,-9 -2012,12,27,5,30,0,0,0,5,-2,118.79,880,-8 -2012,12,27,6,30,0,0,0,4.6000000000000005,-2,106.87,880,-8 -2012,12,27,7,30,0,0,0,4.3,-1,95.43,880,-9 -2012,12,27,8,30,50,33,190,4.5,0,84.72,880,-9 -2012,12,27,9,30,174,92,319,4.4,2,75.12,880,-8 -2012,12,27,10,30,306,139,428,4.3,5,67.14,880,-7 -2012,12,27,11,30,285,221,133,4.4,7,61.42,880,-6 -2012,12,27,12,30,279,237,80,4.2,8,58.660000000000004,880,-8 -2012,12,27,13,30,339,239,195,3.8000000000000003,9,59.28,880,-9 -2012,12,27,14,30,285,206,176,2.8000000000000003,8,63.17,880,-10 -2012,12,27,15,30,175,146,82,1.5,6,69.78,880,-8 -2012,12,27,16,30,41,41,0,0.7000000000000001,3,78.42,880,-6 -2012,12,27,17,30,19,13,241,0.6000000000000001,1,88.46000000000001,880,-9 -2012,12,27,18,30,0,0,0,1,-1,99.47,880,-9 -2012,12,27,19,30,0,0,0,1.8,-2,111.12,880,-8 -2012,12,27,20,30,0,0,0,2.7,-3,123.15,880,-7 -2012,12,27,21,30,0,0,0,3,-4,135.38,880,-7 -2012,12,27,22,30,0,0,0,2.9000000000000004,-4,147.53,880,-7 -2012,12,27,23,30,0,0,0,2.9000000000000004,-4,159.02,880,-7 -2012,12,28,0,30,0,0,0,3,-4,167.32,880,-8 -2012,12,28,1,30,0,0,0,3.1,-4,165.14000000000001,880,-8 -2012,12,28,2,30,0,0,0,3.5,-4,155.12,880,-9 -2012,12,28,3,30,0,0,0,4,-5,143.27,880,-9 -2012,12,28,4,30,0,0,0,4.4,-5,131.05,880,-10 -2012,12,28,5,30,0,0,0,4.5,-5,118.86,880,-10 -2012,12,28,6,30,0,0,0,4.4,-6,106.94,880,-10 -2012,12,28,7,30,0,0,0,4.3,-6,95.49,890,-11 -2012,12,28,8,30,66,32,366,4.4,-5,84.77,890,-11 -2012,12,28,9,30,239,66,676,4.4,-3,75.15,890,-10 -2012,12,28,10,30,396,84,805,4.1000000000000005,-1,67.15,890,-10 -2012,12,28,11,30,508,93,867,3.9000000000000004,0,61.410000000000004,890,-9 -2012,12,28,12,30,562,97,891,3.7,0,58.620000000000005,890,-9 -2012,12,28,13,30,551,96,889,3.6,1,59.21,890,-8 -2012,12,28,14,30,478,89,860,3.5,1,63.08,890,-8 -2012,12,28,15,30,349,76,788,2.9000000000000004,1,69.68,890,-8 -2012,12,28,16,30,181,54,626,1.7000000000000002,0,78.3,890,-8 -2012,12,28,17,30,20,14,184,0.9,-1,88.34,890,-9 -2012,12,28,18,30,0,0,0,0.30000000000000004,-1,99.35000000000001,890,-9 -2012,12,28,19,30,0,0,0,0.2,-1,110.99000000000001,890,-9 -2012,12,28,20,30,0,0,0,0.5,-1,123.03,890,-9 -2012,12,28,21,30,0,0,0,0.7000000000000001,-1,135.25,890,-9 -2012,12,28,22,30,0,0,0,0.9,-2,147.41,890,-9 -2012,12,28,23,30,0,0,0,1,-3,158.9,890,-9 -2012,12,29,0,30,0,0,0,1.1,-3,167.23,890,-9 -2012,12,29,1,30,0,0,0,1.2000000000000002,-4,165.15,890,-9 -2012,12,29,2,30,0,0,0,1.3,-4,155.18,890,-9 -2012,12,29,3,30,0,0,0,1.3,-4,143.34,890,-9 -2012,12,29,4,30,0,0,0,1.2000000000000002,-4,131.12,890,-9 -2012,12,29,5,30,0,0,0,1.1,-4,118.93,890,-9 -2012,12,29,6,30,0,0,0,1,-4,107,890,-9 -2012,12,29,7,30,0,0,0,1.1,-4,95.54,890,-9 -2012,12,29,8,30,73,27,506,1.6,-2,84.81,890,-9 -2012,12,29,9,30,255,49,802,2,0,75.18,900,-8 -2012,12,29,10,30,417,61,918,2.2,2,67.15,900,-9 -2012,12,29,11,30,532,66,972,2.8000000000000003,4,61.38,890,-10 -2012,12,29,12,30,587,68,994,3.1,5,58.57,890,-10 -2012,12,29,13,30,577,67,993,3.3000000000000003,6,59.13,890,-10 -2012,12,29,14,30,502,63,966,3.3000000000000003,6,62.980000000000004,890,-10 -2012,12,29,15,30,370,55,903,2.5,4,69.56,890,-10 -2012,12,29,16,30,197,41,759,1.8,1,78.18,890,-8 -2012,12,29,17,30,24,14,321,2,0,88.22,890,-9 -2012,12,29,18,30,0,0,0,2.4000000000000004,-1,99.22,890,-10 -2012,12,29,19,30,0,0,0,2.9000000000000004,-1,110.86,890,-10 -2012,12,29,20,30,0,0,0,3.5,-1,122.9,890,-10 -2012,12,29,21,30,0,0,0,4,-1,135.13,890,-10 -2012,12,29,22,30,0,0,0,4,-2,147.28,890,-11 -2012,12,29,23,30,0,0,0,3.9000000000000004,-3,158.77,890,-11 -2012,12,30,0,30,0,0,0,4,-3,167.13,890,-11 -2012,12,30,1,30,0,0,0,4,-3,165.16,890,-11 -2012,12,30,2,30,0,0,0,4.1000000000000005,-2,155.23,890,-11 -2012,12,30,3,30,0,0,0,4.1000000000000005,-2,143.41,890,-10 -2012,12,30,4,30,0,0,0,3.9000000000000004,-2,131.19,890,-10 -2012,12,30,5,30,0,0,0,3.9000000000000004,-2,119,890,-10 -2012,12,30,6,30,0,0,0,3.9000000000000004,-1,107.06,890,-9 -2012,12,30,7,30,0,0,0,4,-1,95.59,890,-9 -2012,12,30,8,30,45,33,130,4.3,0,84.85000000000001,890,-9 -2012,12,30,9,30,172,91,316,5.2,0,75.2,890,-9 -2012,12,30,10,30,136,135,4,6.1000000000000005,1,67.15,890,-9 -2012,12,30,11,30,236,208,58,6.300000000000001,2,61.36,890,-9 -2012,12,30,12,30,319,246,139,6.1000000000000005,3,58.51,890,-9 -2012,12,30,13,30,320,242,150,5.4,3,59.04,890,-8 -2012,12,30,14,30,297,207,199,4.3,3,62.870000000000005,890,-8 -2012,12,30,15,30,218,149,194,3.1,2,69.44,890,-7 -2012,12,30,16,30,82,77,24,2.2,1,78.05,880,-7 -2012,12,30,17,30,9,9,0,2.1,0,88.09,880,-7 -2012,12,30,18,30,0,0,0,2.6,0,99.09,890,-7 -2012,12,30,19,30,0,0,0,3.2,0,110.73,890,-7 -2012,12,30,20,30,0,0,0,3.3000000000000003,0,122.77,890,-7 -2012,12,30,21,30,0,0,0,3.2,0,135,880,-6 -2012,12,30,22,30,0,0,0,3.1,0,147.15,880,-6 -2012,12,30,23,30,0,0,0,3.3000000000000003,0,158.64000000000001,880,-5 -2012,12,31,0,30,0,0,0,3.1,0,167.03,880,-4 -2012,12,31,1,30,0,0,0,2.7,-1,165.16,880,-3 -2012,12,31,2,30,0,0,0,2.6,-1,155.28,880,-3 -2012,12,31,3,30,0,0,0,2.7,-1,143.47,880,-3 -2012,12,31,4,30,0,0,0,3.2,0,131.25,880,-2 -2012,12,31,5,30,0,0,0,3.4000000000000004,0,119.06,880,-2 -2012,12,31,6,30,0,0,0,2.8000000000000003,0,107.12,880,-1 -2012,12,31,7,30,0,0,0,2.3000000000000003,0,95.64,880,0 -2012,12,31,8,30,3,3,0,2.2,0,84.88,880,0 -2012,12,31,9,30,15,15,0,2.5,0,75.21000000000001,880,0 -2012,12,31,10,30,280,156,318,3.2,1,67.14,880,0 -2012,12,31,11,30,166,162,7,3.8000000000000003,2,61.32,880,0 -2012,12,31,12,30,215,202,23,4.1000000000000005,3,58.44,880,-1 -2012,12,31,13,30,238,217,41,4.2,3,58.95,880,-1 -2012,12,31,14,30,225,197,59,4,3,62.76,880,-2 -2012,12,31,15,30,182,151,90,3.4000000000000004,2,69.32000000000001,880,-2 -2012,12,31,16,30,141,69,344,2.6,0,77.92,880,-3 -2012,12,31,17,30,23,23,0,2.2,-1,87.96000000000001,880,-4 -2012,12,31,18,30,0,0,0,7.1000000000000005,7,99.06,890,-11 -2012,12,31,19,30,0,0,0,7.2,5,110.7,890,-12 -2012,12,31,20,30,0,0,0,6.800000000000001,3,122.74000000000001,900,-9 -2012,12,31,21,30,0,0,0,5.7,2,134.96,900,-5 -2012,12,31,22,30,0,0,0,3.9000000000000004,0,147.12,900,-5 -2012,12,31,23,30,0,0,0,2.5,0,158.61,900,-5 diff --git a/hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_100m.srw b/hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_100m.srw deleted file mode 100644 index eae4193ae..000000000 --- a/hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_100m.srw +++ /dev/null @@ -1,8765 +0,0 @@ -976301,city??,TX,country??,2012,35.2070121765,-101.940917969,Not Available,1,8760 -WIND Toolkit data from NREL downloaded on 2023-7-28 -Temperature,Pressure,Speed,Direction -C,atm,m/s,Degrees -100,100,100,100 -4.6,0.88,13.540,359.4 -3.7,0.88,13.380,5.9 -2.8,0.88,9.440,4.4 -2.3,0.88,9.740,4.2 -1.8,0.88,8.890,5.2 -1.3,0.88,8.380,11.2 -1.0,0.88,9.190,9.7 -0.5,0.88,8.270,8.2 -0.1,0.88,5.660,354.8 -0.1,0.88,3.740,341.7 -0.5,0.88,3.710,345.0 -1.4,0.88,3.450,358.2 -2.3,0.88,3.240,356.0 -3.1,0.88,2.430,358.3 -3.8,0.88,1.960,358.5 -4.2,0.88,1.310,0.4 -4.5,0.88,1.160,8.8 -4.4,0.88,1.360,17.5 -3.8,0.88,1.800,34.0 -3.3,0.88,2.380,44.6 -3.0,0.88,2.830,49.2 -2.7,0.88,3.210,59.7 -2.4,0.89,3.090,57.4 -2.0,0.89,2.970,50.2 -1.3,0.89,2.720,48.7 -0.7,0.89,2.390,42.4 -0.6,0.89,1.690,26.6 -0.5,0.89,1.910,29.0 -0.4,0.89,1.670,12.4 --0.7,0.89,2.380,356.6 --1.3,0.89,2.480,351.8 --1.5,0.89,2.360,346.6 --1.4,0.89,2.200,337.4 --1.0,0.89,1.940,300.9 --0.4,0.89,1.430,261.1 -1.6,0.89,1.700,225.3 -3.4,0.89,3.600,218.1 -5.0,0.89,5.490,227.0 -6.2,0.88,5.820,230.6 -6.9,0.88,6.320,237.3 -7.4,0.88,5.960,236.3 -7.5,0.88,6.590,228.2 -7.4,0.88,8.350,223.5 -6.8,0.88,10.720,228.6 -6.6,0.88,11.450,237.6 -6.0,0.88,11.640,239.9 -5.4,0.88,12.430,236.1 -5.0,0.88,13.450,234.7 -4.2,0.88,14.020,232.2 -3.6,0.88,14.690,230.8 -3.5,0.88,15.570,230.2 -3.5,0.88,15.980,232.8 -3.2,0.88,15.950,232.9 -3.3,0.88,16.210,232.8 -3.6,0.88,16.680,236.8 -3.6,0.87,16.590,237.0 -3.2,0.87,14.840,237.8 -3.4,0.87,12.110,238.3 -5.5,0.87,8.710,242.3 -7.7,0.87,7.980,245.3 -9.8,0.87,7.900,255.1 -11.7,0.87,6.610,257.3 -13.0,0.87,6.220,260.6 -13.8,0.87,5.610,262.2 -14.1,0.87,5.050,267.0 -14.1,0.87,4.660,278.1 -12.8,0.87,3.870,309.3 -12.4,0.87,4.960,303.3 -11.5,0.87,7.730,320.5 -10.9,0.87,10.310,331.8 -7.9,0.87,8.410,2.5 -7.2,0.87,7.970,7.6 -7.3,0.87,9.000,12.7 -7.2,0.87,9.030,4.7 -6.2,0.88,9.850,4.7 -4.8,0.88,10.020,5.5 -3.8,0.88,10.510,12.0 -3.6,0.88,9.390,10.3 -3.6,0.88,8.230,4.4 -3.0,0.88,8.370,6.3 -2.8,0.88,7.970,1.8 -2.7,0.88,7.180,1.7 -3.2,0.88,5.260,353.7 -4.4,0.88,3.880,336.5 -5.8,0.88,3.900,330.4 -7.3,0.88,4.260,331.3 -8.4,0.88,4.000,327.0 -9.2,0.88,3.700,317.2 -9.8,0.88,3.680,309.7 -9.9,0.88,3.830,297.0 -10.1,0.88,4.420,289.1 -10.6,0.88,5.630,280.3 -10.9,0.88,6.520,279.4 -11.4,0.88,6.100,281.7 -11.9,0.88,6.420,281.4 -12.0,0.88,6.740,281.2 -12.0,0.88,7.010,277.1 -11.4,0.88,7.320,270.1 -11.1,0.88,8.310,267.9 -11.2,0.88,9.130,274.7 -11.3,0.88,8.150,277.9 -11.1,0.88,7.660,279.5 -11.4,0.88,6.770,286.9 -11.1,0.87,6.220,287.7 -10.7,0.87,6.250,293.7 -10.2,0.87,5.670,289.4 -9.7,0.87,4.970,266.3 -9.4,0.87,3.230,258.4 -11.9,0.87,3.370,255.9 -13.6,0.87,4.450,245.4 -14.4,0.87,5.010,236.1 -14.9,0.87,5.270,232.9 -14.5,0.87,5.950,218.7 -14.2,0.87,7.550,215.7 -14.0,0.87,10.710,217.0 -11.5,0.87,14.300,223.9 -10.3,0.87,14.370,229.8 -9.9,0.87,15.240,230.5 -8.9,0.87,15.280,230.7 -8.5,0.87,15.980,232.5 -7.7,0.86,16.430,231.1 -7.3,0.86,16.050,231.7 -7.1,0.86,16.790,230.2 -6.3,0.86,15.390,232.7 -5.9,0.86,14.450,245.6 -6.7,0.86,12.900,259.0 -7.9,0.86,10.910,278.1 -4.8,0.86,10.500,300.7 -5.5,0.86,11.040,323.6 -5.5,0.86,11.100,343.5 -5.5,0.86,9.350,347.7 -6.9,0.86,9.730,344.7 -7.9,0.86,9.620,353.5 -8.7,0.86,10.340,357.8 -9.5,0.86,10.470,0.2 -9.9,0.86,10.180,3.8 -9.9,0.87,9.920,7.8 -9.3,0.87,9.600,12.3 -8.6,0.87,10.130,12.1 -7.7,0.87,12.970,16.1 -6.5,0.87,11.200,18.6 -5.3,0.87,9.830,14.0 -4.5,0.87,10.690,19.1 -3.9,0.87,11.140,23.7 -3.3,0.87,10.950,26.4 -2.8,0.87,8.970,23.0 -2.4,0.87,8.800,22.0 -1.6,0.87,7.000,12.1 -1.3,0.87,6.950,17.8 -0.9,0.87,7.310,21.4 -0.7,0.87,7.500,33.0 -0.1,0.87,5.200,36.0 --0.1,0.87,4.120,42.9 --0.4,0.87,2.260,34.8 --0.0,0.87,1.290,55.6 -1.3,0.87,1.170,96.3 -3.3,0.87,2.490,139.3 -4.8,0.87,3.090,157.6 -5.7,0.87,4.650,164.1 -6.4,0.87,5.450,165.9 -6.8,0.87,6.160,171.3 -6.8,0.87,6.770,164.3 -5.5,0.87,8.720,144.4 -4.6,0.87,9.950,145.9 -4.3,0.87,10.770,144.8 -3.7,0.87,11.290,141.0 -3.4,0.87,12.050,143.0 -3.4,0.87,12.250,142.0 -2.6,0.87,11.750,140.8 -1.6,0.87,11.770,138.5 --0.1,0.87,6.970,113.2 --0.2,0.87,7.960,111.5 -0.2,0.87,7.650,107.4 --0.5,0.87,5.040,87.3 --1.9,0.87,4.760,42.9 --2.7,0.87,7.060,24.9 --3.3,0.87,7.300,21.2 --3.4,0.87,6.370,18.4 --2.6,0.87,6.680,20.1 --1.5,0.87,6.580,17.0 --0.2,0.87,6.950,22.0 -0.8,0.87,7.320,24.1 -1.3,0.87,8.090,26.9 -1.2,0.87,8.180,27.8 -1.1,0.87,8.260,27.4 -1.1,0.87,7.950,31.8 -0.8,0.87,7.890,32.9 -0.5,0.87,9.290,33.2 --0.0,0.87,9.650,38.2 --0.5,0.87,7.960,36.7 --1.0,0.87,7.040,31.9 --1.5,0.87,7.190,25.8 --1.8,0.87,7.280,18.9 --2.0,0.87,7.170,17.3 --2.2,0.87,6.930,17.9 --2.1,0.87,6.990,19.2 --2.5,0.87,6.380,13.2 --2.5,0.87,5.630,10.4 --2.6,0.87,4.940,11.6 --2.8,0.87,4.170,0.8 --2.6,0.87,4.650,358.6 --2.5,0.87,4.190,345.8 --1.8,0.87,3.940,343.3 --0.4,0.87,4.900,347.0 -0.8,0.87,4.570,355.4 -1.8,0.87,4.670,0.8 -2.5,0.87,4.360,1.4 -3.1,0.87,4.010,359.6 -3.6,0.87,4.040,353.2 -3.9,0.87,3.920,352.2 -3.8,0.87,3.580,357.1 -3.8,0.87,4.730,355.7 -3.8,0.87,5.930,355.7 -3.7,0.87,6.860,355.3 -3.5,0.87,6.320,2.1 -2.7,0.87,5.000,6.2 -2.4,0.87,5.710,345.0 -1.8,0.87,6.890,327.0 -1.7,0.87,7.570,325.5 -1.6,0.87,7.840,329.0 -1.2,0.87,5.950,336.9 -1.0,0.87,5.390,339.5 -0.9,0.87,4.690,339.6 -1.4,0.87,5.070,332.2 -2.1,0.87,6.440,330.5 -2.0,0.87,7.200,325.8 -2.2,0.87,6.560,318.0 -3.7,0.87,6.040,319.8 -5.4,0.87,6.150,318.5 -6.9,0.87,6.480,316.9 -7.8,0.87,6.640,317.3 -8.4,0.87,5.930,319.1 -8.8,0.86,5.830,310.9 -9.0,0.86,4.590,301.0 -9.3,0.86,5.140,277.3 -9.7,0.86,7.330,261.6 -10.5,0.86,7.540,274.1 -11.3,0.86,7.460,274.8 -12.1,0.86,7.420,274.8 -12.9,0.86,7.320,264.1 -12.0,0.86,8.820,254.5 -12.6,0.86,7.010,255.8 -11.9,0.86,5.600,295.5 -9.2,0.86,5.090,309.6 -6.5,0.86,4.900,316.0 -5.9,0.86,7.630,311.7 -4.9,0.86,9.750,318.0 -4.2,0.86,11.210,330.7 -2.5,0.86,13.150,355.6 -1.3,0.86,13.520,356.3 -1.7,0.86,12.990,4.7 -2.3,0.86,13.510,6.4 -3.0,0.86,14.010,4.4 -3.2,0.86,14.410,4.8 -3.3,0.86,14.970,2.5 -3.4,0.86,14.680,1.7 -3.1,0.86,15.640,4.4 -2.3,0.87,15.070,5.9 -1.3,0.87,12.340,4.5 -0.5,0.87,13.570,358.9 --0.4,0.87,13.370,1.8 --1.2,0.87,12.990,7.3 --2.1,0.87,13.250,12.8 --3.0,0.87,12.810,10.6 --3.3,0.87,11.610,6.3 --4.3,0.87,12.140,5.0 --4.8,0.87,8.780,359.7 --4.9,0.87,8.220,344.8 --5.2,0.87,9.450,342.8 --5.3,0.87,10.580,340.2 --5.5,0.87,8.620,333.8 --5.5,0.87,11.080,338.2 --5.5,0.87,9.260,332.8 --5.4,0.87,9.930,338.6 --4.8,0.87,7.640,341.0 --3.7,0.87,6.920,333.8 --2.5,0.87,6.750,318.0 --0.9,0.87,6.710,302.2 -1.1,0.87,6.870,299.4 -2.3,0.87,7.040,299.3 -2.9,0.87,6.280,299.0 -3.0,0.87,5.450,301.7 -3.1,0.87,5.860,292.7 -3.3,0.87,8.250,273.4 -4.0,0.87,9.000,275.1 -3.1,0.87,10.230,267.9 -3.8,0.87,9.330,282.7 -2.1,0.87,6.570,290.9 -0.9,0.87,3.860,301.1 -0.7,0.87,2.690,300.7 -0.5,0.87,1.300,334.9 -0.2,0.87,2.200,320.3 -0.3,0.87,2.650,300.8 -0.3,0.87,3.570,273.0 -0.2,0.87,4.520,274.0 -0.1,0.87,4.240,289.7 -0.4,0.87,7.720,279.0 --1.2,0.87,7.040,286.9 --0.8,0.87,5.360,292.5 -1.0,0.87,4.670,301.1 -3.1,0.87,4.420,297.9 -5.1,0.87,4.290,295.6 -6.7,0.87,4.380,296.1 -7.7,0.87,4.410,291.2 -8.3,0.87,4.740,277.9 -8.3,0.87,4.540,258.3 -8.3,0.87,6.080,262.4 -8.7,0.87,7.110,253.6 -9.6,0.87,8.810,252.2 -9.2,0.87,9.410,260.2 -9.7,0.87,9.570,278.7 -10.6,0.87,7.540,288.9 -10.0,0.87,6.900,295.9 -8.8,0.87,6.100,295.6 -6.8,0.87,5.960,307.0 -5.8,0.87,9.320,303.7 -7.8,0.87,8.200,310.9 -7.5,0.87,7.190,318.4 -7.0,0.87,7.030,320.1 -5.2,0.87,6.010,329.1 -4.2,0.87,5.980,340.6 -4.4,0.87,6.710,330.8 -3.9,0.87,4.600,315.3 -4.8,0.87,2.380,335.8 -6.2,0.87,1.760,346.9 -7.4,0.87,0.630,37.0 -9.5,0.87,2.450,139.3 -10.8,0.87,4.500,164.8 -10.7,0.87,6.030,170.8 -10.8,0.87,8.220,171.3 -10.4,0.87,10.350,167.2 -9.3,0.87,11.540,168.9 -8.9,0.87,11.650,184.8 -9.2,0.87,11.070,212.9 -9.6,0.87,12.210,226.3 -9.0,0.87,13.890,235.2 -9.1,0.87,15.920,238.2 -8.9,0.87,17.470,237.4 -7.5,0.87,16.440,234.8 -7.3,0.87,16.620,235.3 -7.8,0.87,17.690,241.3 -7.6,0.87,18.180,238.3 -7.5,0.87,17.880,235.4 -7.1,0.87,17.990,235.1 -6.9,0.87,18.150,235.8 -7.2,0.87,17.210,233.6 -8.4,0.87,15.240,230.1 -10.0,0.87,13.530,228.8 -11.6,0.87,13.170,230.8 -12.7,0.87,14.020,228.1 -13.9,0.86,13.760,232.5 -15.1,0.86,14.200,234.6 -14.6,0.86,14.890,235.1 -14.1,0.86,15.300,233.7 -13.0,0.86,18.220,233.3 -12.5,0.86,16.500,233.8 -12.0,0.86,17.720,239.1 -12.4,0.86,20.410,246.3 -12.1,0.86,19.390,245.6 -11.7,0.86,18.880,251.1 -11.6,0.86,18.180,257.5 -11.4,0.86,16.320,257.6 -11.3,0.86,15.360,249.3 -10.4,0.86,14.930,244.5 -10.1,0.86,14.580,246.7 -10.6,0.86,15.510,249.3 -10.3,0.86,14.640,247.1 -10.1,0.86,14.670,254.8 -9.6,0.86,13.480,250.8 -10.7,0.86,14.440,249.7 -11.8,0.86,13.160,245.4 -12.5,0.86,12.490,239.7 -13.8,0.86,13.330,234.0 -14.8,0.86,15.470,238.0 -15.4,0.86,15.960,238.9 -15.7,0.86,16.780,239.9 -15.6,0.86,16.600,238.2 -15.4,0.86,14.680,236.0 -14.6,0.86,14.850,234.3 -13.6,0.86,15.670,240.8 -12.6,0.86,14.470,246.0 -11.7,0.86,12.290,249.2 -11.3,0.86,13.300,259.5 -10.6,0.86,15.190,264.5 -9.6,0.86,15.950,263.1 -8.8,0.87,16.370,267.4 -8.0,0.87,16.110,270.9 -7.6,0.87,15.080,275.3 -7.3,0.87,14.010,279.0 --2.0,0.87,9.540,29.6 --3.8,0.87,10.070,21.0 --4.4,0.87,9.870,20.4 --4.7,0.87,7.480,17.1 --4.8,0.87,7.710,23.4 --4.2,0.87,6.530,24.9 --3.4,0.87,6.240,26.3 --2.3,0.87,5.620,27.2 --1.3,0.87,4.170,38.2 --0.3,0.87,3.160,56.1 -0.4,0.87,2.480,62.3 -1.3,0.87,2.630,89.8 -1.5,0.87,4.010,122.1 -1.1,0.87,5.890,126.0 -0.8,0.87,7.050,127.2 -0.1,0.87,9.460,139.6 --0.6,0.87,10.600,141.8 --1.2,0.87,11.580,151.0 --1.4,0.87,12.250,159.5 --1.8,0.87,13.170,168.8 --2.2,0.87,13.880,177.7 --2.4,0.87,14.460,188.0 --1.8,0.87,14.150,198.7 --2.0,0.87,12.580,202.4 --1.4,0.87,13.930,207.7 --1.1,0.87,13.090,211.7 --1.3,0.87,11.910,226.9 -2.6,0.87,14.670,245.5 -4.1,0.87,10.310,259.2 -7.0,0.87,11.210,268.7 -8.7,0.87,9.110,261.0 -10.8,0.87,7.310,276.2 -12.2,0.87,7.680,275.3 -13.1,0.87,8.220,278.9 -13.3,0.87,8.810,266.0 -13.3,0.87,8.170,247.0 -13.0,0.87,7.740,248.4 -13.2,0.87,10.240,242.6 -12.4,0.87,15.350,249.4 -11.9,0.87,15.120,244.9 -10.8,0.86,14.710,247.0 -10.6,0.86,16.600,254.4 -10.2,0.86,17.560,259.5 -10.8,0.86,20.560,264.9 -10.5,0.86,17.620,272.5 -11.3,0.86,17.440,277.1 -11.0,0.86,16.680,276.3 -11.8,0.86,17.810,283.0 -11.3,0.86,15.270,287.3 -8.3,0.86,10.100,285.3 -8.2,0.86,10.550,275.6 -10.0,0.86,11.920,285.6 -10.4,0.86,11.070,293.4 -10.7,0.86,8.400,295.2 -11.9,0.86,4.320,304.9 -13.7,0.86,4.690,315.6 -15.1,0.86,2.400,317.4 -16.3,0.86,0.290,40.8 -17.4,0.86,3.770,154.3 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-7.3,0.87,9.690,191.3 -9.4,0.86,11.200,193.7 -10.8,0.86,12.520,194.5 -11.8,0.86,12.600,197.3 -12.3,0.86,12.710,197.4 -12.1,0.86,12.940,191.1 -11.4,0.86,14.700,189.4 -10.7,0.86,15.200,193.4 -10.8,0.86,15.470,200.0 -11.0,0.86,15.670,203.3 -10.6,0.86,15.770,212.9 -10.6,0.86,15.170,218.3 -11.4,0.86,16.390,228.1 -12.0,0.86,15.370,238.4 -12.5,0.86,14.760,238.0 -11.4,0.86,13.780,242.0 -10.6,0.85,12.040,244.6 -9.6,0.85,13.750,265.4 -9.2,0.85,16.700,257.9 -7.5,0.85,17.810,253.7 -6.1,0.85,16.010,252.3 -6.5,0.85,19.410,261.4 -6.9,0.85,19.750,259.8 -8.7,0.85,19.970,271.5 -10.6,0.85,19.620,289.0 -10.0,0.86,17.920,330.9 -10.5,0.86,15.470,323.1 -10.4,0.86,16.860,322.4 -10.1,0.86,16.730,328.8 -9.5,0.86,13.560,336.4 -8.4,0.86,11.200,347.4 -8.3,0.86,9.350,346.3 -8.0,0.86,7.480,342.1 -7.2,0.86,7.580,349.6 -6.8,0.87,6.360,350.7 -6.3,0.87,7.430,14.9 -5.6,0.87,5.130,12.8 -4.6,0.87,4.150,30.8 -4.2,0.87,2.520,49.2 -3.7,0.87,2.020,102.8 -3.5,0.87,2.770,130.1 -3.1,0.87,4.480,160.5 -2.9,0.87,5.950,178.0 -2.9,0.87,7.440,187.8 -2.9,0.87,9.070,186.5 -3.0,0.87,10.160,185.7 -3.2,0.87,8.810,176.7 -5.0,0.87,9.820,175.5 -6.5,0.87,8.650,189.6 -8.4,0.87,6.320,195.7 -11.3,0.87,7.160,222.6 -11.7,0.87,6.530,213.2 -13.3,0.86,8.970,224.8 -13.0,0.86,9.520,218.8 -12.2,0.86,11.100,215.5 -12.0,0.86,12.040,212.9 -10.9,0.86,10.980,208.9 -9.9,0.86,15.530,205.5 -9.4,0.86,15.710,210.7 -9.0,0.86,15.320,216.2 -9.7,0.86,15.860,218.3 -8.7,0.86,13.120,213.8 -8.8,0.86,12.410,208.6 -8.5,0.86,11.350,211.0 -8.4,0.86,11.510,204.5 -7.5,0.86,11.700,193.7 -7.5,0.86,11.030,195.6 -7.0,0.86,10.380,199.6 -5.9,0.86,9.010,191.6 -5.6,0.86,8.840,185.5 -6.5,0.86,7.310,188.6 -7.9,0.86,6.010,181.4 -9.8,0.86,6.460,176.4 -11.3,0.86,6.340,170.0 -12.4,0.86,7.820,163.5 -11.3,0.86,8.260,138.2 -10.7,0.86,8.660,138.9 -9.7,0.86,8.270,127.5 -9.0,0.87,6.580,112.7 -9.0,0.87,3.820,84.3 -8.2,0.87,5.280,81.7 -8.2,0.87,6.970,50.3 -5.7,0.87,13.080,30.7 -4.6,0.87,11.660,28.0 -3.4,0.87,12.460,21.9 -2.7,0.87,11.950,12.9 -2.2,0.87,11.430,12.8 -1.7,0.87,12.600,15.8 -1.1,0.87,11.410,10.5 -0.2,0.87,11.390,12.3 --0.5,0.87,11.520,6.7 --1.0,0.87,10.820,7.4 --1.4,0.87,10.280,9.2 --1.4,0.87,9.470,5.4 --0.5,0.87,8.780,4.8 -1.0,0.87,8.790,5.0 -2.8,0.87,8.550,3.7 -4.6,0.87,8.460,2.5 -6.1,0.87,7.970,2.6 -7.2,0.87,8.050,359.8 -7.8,0.87,7.860,1.1 -8.0,0.87,7.390,1.0 -7.9,0.87,7.330,6.9 -7.6,0.87,6.910,8.2 -7.5,0.87,5.740,10.8 -7.1,0.87,4.350,4.6 -6.7,0.87,4.150,349.0 -6.5,0.87,3.910,345.3 -6.3,0.87,4.680,336.4 -6.1,0.87,6.940,323.5 -6.1,0.87,8.760,324.0 -6.7,0.87,8.960,331.4 -6.1,0.87,7.940,342.7 -5.1,0.87,10.510,350.9 -5.0,0.87,12.490,358.9 -4.3,0.87,11.760,350.4 -3.3,0.87,11.860,0.6 -2.8,0.87,8.240,357.5 -3.7,0.87,5.450,4.0 -5.1,0.87,3.630,349.3 -6.4,0.87,3.910,334.5 -7.5,0.87,3.240,325.4 -8.6,0.87,2.780,330.4 -9.3,0.87,1.880,327.3 -9.8,0.87,1.230,271.4 -10.1,0.87,2.640,221.1 -10.3,0.87,4.630,195.4 -10.2,0.87,7.020,192.7 -10.2,0.87,9.530,195.3 -10.0,0.87,11.590,192.8 -9.5,0.87,12.990,190.7 -9.1,0.87,14.180,192.7 -8.3,0.87,14.010,202.9 -7.9,0.86,14.710,199.8 -8.0,0.86,15.070,216.4 -8.3,0.86,15.890,224.0 -8.0,0.86,14.550,223.8 -7.5,0.86,14.660,231.3 -8.1,0.86,15.110,238.7 -8.0,0.86,14.570,256.9 -7.5,0.86,11.750,297.3 -8.1,0.86,11.970,325.4 -7.5,0.86,10.040,344.8 -8.0,0.87,12.940,5.8 -8.5,0.87,11.990,358.4 -8.2,0.87,12.120,5.8 -8.0,0.87,12.410,5.9 -8.0,0.87,12.180,7.5 -7.7,0.87,12.290,7.8 -7.3,0.87,12.040,9.6 -6.5,0.87,11.920,7.2 -5.7,0.87,11.560,8.5 -4.7,0.87,12.090,11.3 -3.5,0.87,11.420,14.2 -2.2,0.88,10.180,19.8 -1.2,0.88,12.130,26.8 -0.5,0.88,11.880,29.4 --0.4,0.88,10.050,17.7 --1.3,0.88,10.430,23.1 --2.0,0.88,8.610,20.0 --2.5,0.88,7.300,29.5 --2.8,0.88,4.390,14.6 --2.9,0.88,5.020,26.8 --3.2,0.88,3.360,26.4 --3.2,0.88,0.550,334.3 --2.8,0.88,1.550,230.1 --1.7,0.88,2.960,224.1 -0.1,0.88,4.180,226.8 -1.7,0.88,4.490,230.6 -3.2,0.88,4.670,233.3 -4.2,0.88,5.450,233.9 -5.1,0.88,5.700,238.7 -5.7,0.88,6.260,234.8 -5.9,0.88,5.930,231.9 -5.9,0.88,7.100,223.5 -5.7,0.88,9.530,231.0 -5.1,0.88,9.870,222.1 -5.0,0.88,11.130,216.0 -4.6,0.88,12.910,220.3 -4.1,0.88,13.720,224.3 -3.6,0.88,14.280,228.2 -3.3,0.88,14.840,233.6 -3.1,0.88,15.120,237.8 -2.5,0.88,14.940,237.3 -2.0,0.88,14.730,239.3 -1.6,0.88,14.200,243.8 -2.0,0.88,13.000,250.2 -2.1,0.88,11.090,259.9 -3.5,0.88,9.520,281.9 -2.7,0.88,5.800,290.9 -3.6,0.88,3.070,285.2 -5.9,0.88,2.710,283.3 -7.6,0.88,3.110,295.7 -9.3,0.88,2.720,303.6 -10.5,0.87,1.970,317.5 -11.4,0.87,1.180,321.9 -11.9,0.87,0.720,317.6 -12.0,0.87,0.330,85.4 -11.9,0.87,1.120,112.6 -11.6,0.87,3.200,184.6 -11.9,0.87,5.930,190.3 -11.4,0.87,6.920,220.3 -11.6,0.87,6.890,223.0 -11.9,0.87,6.540,221.1 -11.5,0.87,8.190,221.4 -10.9,0.87,10.290,228.6 -11.4,0.87,12.700,244.0 -9.9,0.87,13.210,235.8 -9.4,0.87,14.450,236.4 -8.8,0.87,15.980,242.3 -6.7,0.87,13.430,241.2 -6.2,0.87,14.600,238.9 -7.4,0.87,14.950,243.8 -6.8,0.87,12.890,240.4 -7.6,0.87,9.320,240.6 -10.2,0.87,8.260,236.7 -12.6,0.87,9.340,235.1 -13.8,0.87,10.250,230.1 -15.0,0.87,10.960,228.3 -16.2,0.87,11.030,231.2 -16.4,0.87,10.670,227.2 -15.7,0.86,11.040,220.6 -15.1,0.86,13.950,218.0 -14.0,0.86,16.010,217.7 -13.1,0.86,16.190,222.0 -11.6,0.86,16.700,225.1 -11.1,0.86,18.080,231.6 -11.1,0.86,17.900,239.3 -10.2,0.86,15.430,237.8 -9.8,0.86,14.790,241.9 -9.7,0.86,12.850,249.7 -10.7,0.86,18.340,264.2 -10.1,0.86,16.170,268.4 -9.1,0.87,13.340,276.5 -8.2,0.87,10.520,291.0 -7.3,0.87,13.300,299.6 -6.8,0.87,11.920,339.4 -5.4,0.87,9.660,355.9 -5.5,0.87,6.730,356.2 -7.1,0.87,6.780,4.3 -8.5,0.87,6.590,10.1 -9.6,0.87,6.960,15.4 -10.6,0.87,6.140,21.6 -11.2,0.87,5.160,25.3 -11.4,0.87,4.490,33.3 -11.4,0.87,3.380,41.3 -11.2,0.87,3.050,52.3 -10.9,0.87,4.640,72.5 -10.5,0.87,5.530,86.5 -10.5,0.87,5.890,85.0 -10.1,0.87,6.740,96.5 -9.5,0.87,7.670,107.8 -8.9,0.87,7.660,117.9 -8.4,0.87,7.960,127.2 -7.7,0.87,8.000,145.8 -7.6,0.87,7.770,166.6 -7.4,0.87,9.000,174.7 -7.7,0.87,9.860,187.1 -7.5,0.87,10.090,204.1 -6.2,0.87,9.340,231.8 -5.0,0.87,9.500,295.5 -3.4,0.87,7.520,304.5 -4.7,0.87,5.980,308.3 -6.1,0.87,5.720,317.6 -8.0,0.87,6.350,325.6 -9.8,0.87,5.970,340.6 -10.6,0.87,5.710,345.2 -11.7,0.87,4.860,352.9 -12.3,0.87,4.120,7.8 -12.3,0.87,3.040,21.9 -11.3,0.87,3.060,69.9 -11.1,0.87,2.920,75.6 -11.0,0.87,3.710,94.7 -10.8,0.87,5.150,124.3 -10.0,0.87,6.790,139.7 -9.3,0.87,7.730,153.7 -8.7,0.87,9.070,146.9 -8.2,0.87,10.390,144.8 -7.9,0.87,11.350,144.3 -7.4,0.87,10.980,146.2 -6.4,0.87,10.900,146.3 -6.2,0.87,11.670,149.1 -5.9,0.87,12.140,151.0 -5.9,0.87,12.600,149.8 -5.7,0.87,12.610,147.8 -4.2,0.87,11.360,144.4 -5.4,0.87,10.890,147.1 -6.9,0.87,12.100,145.2 -7.7,0.87,12.380,139.3 -8.6,0.87,12.640,138.4 -8.2,0.87,11.640,135.8 -8.4,0.86,12.840,147.4 -8.0,0.86,12.170,150.2 -8.0,0.86,10.000,144.6 -8.3,0.86,10.570,147.5 -8.7,0.86,11.200,144.2 -8.2,0.86,11.530,146.1 -7.8,0.86,15.940,139.6 -8.3,0.86,13.740,153.4 -9.7,0.86,5.580,177.5 -11.0,0.86,12.140,180.9 -10.5,0.86,8.690,191.1 -10.1,0.86,7.230,209.8 -8.4,0.86,2.600,254.7 -7.8,0.86,1.900,255.7 -6.2,0.86,2.450,299.2 -4.6,0.86,2.960,302.6 -5.2,0.86,3.950,3.9 -6.0,0.86,6.090,8.1 -5.8,0.87,7.210,5.4 -5.5,0.87,7.820,2.6 -5.2,0.87,6.430,11.2 -5.2,0.87,6.770,16.2 -4.3,0.87,10.100,339.9 -3.6,0.87,9.250,334.3 -3.9,0.87,6.020,357.3 -4.4,0.87,4.520,3.2 -4.7,0.87,2.240,23.4 -4.4,0.87,3.250,26.4 -5.4,0.87,8.410,343.8 -5.0,0.87,12.740,337.1 -3.2,0.87,11.350,336.8 -2.3,0.87,10.710,333.7 -1.4,0.87,11.770,327.9 -0.9,0.87,11.570,322.3 -0.3,0.87,11.070,319.9 --0.1,0.87,11.550,327.1 --0.5,0.87,11.810,328.6 --0.8,0.87,11.700,331.5 --1.0,0.87,11.700,336.0 --1.2,0.87,12.480,341.1 --1.4,0.87,12.530,343.6 --1.6,0.88,12.610,347.4 --1.6,0.88,12.160,350.5 --0.8,0.88,12.180,357.9 -0.3,0.88,13.250,359.5 -1.1,0.88,12.930,1.3 -1.9,0.88,12.800,2.5 -2.8,0.88,12.110,3.2 -3.3,0.88,11.890,4.6 -3.5,0.88,12.030,4.9 -3.3,0.88,11.560,8.0 -2.9,0.88,10.390,15.1 -2.3,0.88,9.970,16.3 -1.8,0.88,9.820,16.2 -1.1,0.88,9.610,12.2 -0.4,0.88,9.250,10.1 --0.4,0.88,9.980,7.8 --1.2,0.88,8.250,8.5 --1.8,0.88,9.090,9.5 --2.3,0.88,7.960,3.5 --2.6,0.88,6.880,0.7 --2.9,0.88,5.930,357.5 --3.0,0.88,5.770,353.4 --3.1,0.88,6.080,352.6 --3.3,0.88,6.110,351.7 --3.4,0.88,6.010,351.0 --3.2,0.88,4.820,349.6 --2.0,0.88,5.010,0.8 --1.0,0.88,4.840,4.9 -0.2,0.88,4.690,12.2 -1.1,0.88,4.360,16.4 -1.8,0.88,3.820,24.1 -2.3,0.88,3.330,31.9 -2.6,0.88,2.720,35.8 -2.7,0.88,2.270,52.2 -2.5,0.88,2.340,67.1 -2.4,0.88,1.990,81.6 -2.1,0.88,2.220,114.9 -1.8,0.88,3.200,117.8 -1.9,0.88,2.770,135.4 -2.0,0.88,2.630,145.7 -1.8,0.88,3.420,156.8 -1.3,0.88,4.410,162.3 -1.4,0.88,4.910,173.5 -1.1,0.88,5.980,176.8 -0.7,0.87,6.970,182.7 -0.6,0.87,7.410,188.8 -0.3,0.87,7.860,194.4 --0.0,0.87,8.540,198.6 --0.1,0.87,8.380,204.0 -0.1,0.87,8.320,205.0 -1.5,0.87,7.670,200.5 -2.7,0.87,6.540,200.2 -4.2,0.87,5.770,196.8 -5.2,0.87,6.260,196.3 -6.1,0.87,6.490,193.5 -6.6,0.87,6.950,195.5 -7.2,0.87,6.920,196.4 -7.3,0.87,6.800,191.3 -6.9,0.87,7.590,188.1 -6.7,0.87,9.600,189.6 -6.5,0.87,10.140,184.4 -5.4,0.87,9.440,177.0 -4.4,0.87,11.460,179.5 -3.6,0.87,11.570,183.9 -3.3,0.87,12.760,184.5 -3.2,0.87,11.740,188.4 -3.2,0.87,9.660,200.0 -0.9,0.87,3.820,266.3 -2.5,0.87,4.640,326.5 -0.4,0.87,10.000,21.3 --0.6,0.87,7.080,334.6 --1.4,0.87,10.240,348.2 --1.7,0.87,8.680,345.9 --1.5,0.87,9.070,352.1 --1.3,0.87,9.960,357.8 --0.8,0.88,10.780,357.4 --0.3,0.88,11.620,4.4 -0.5,0.88,10.900,5.4 -1.1,0.88,10.160,10.1 -1.4,0.88,9.930,14.3 -1.4,0.88,9.770,16.1 -1.2,0.88,9.330,21.6 -0.5,0.88,9.470,27.2 --0.2,0.88,8.410,36.1 --1.0,0.88,8.110,43.8 --1.9,0.88,8.240,48.6 --2.6,0.88,6.870,51.9 --3.3,0.88,5.400,48.1 --3.8,0.88,6.830,48.3 --4.3,0.88,5.180,49.4 --4.7,0.88,4.580,44.0 --5.0,0.88,4.070,42.9 --5.4,0.88,2.630,44.1 --5.8,0.88,1.320,45.7 --6.0,0.88,0.820,91.9 --6.0,0.88,1.210,169.0 --5.6,0.88,2.150,179.3 --5.2,0.88,3.000,193.3 --3.5,0.88,3.390,193.2 --1.2,0.88,4.240,193.3 -0.8,0.88,5.670,199.0 -2.7,0.88,6.590,204.8 -4.1,0.88,7.330,201.5 -5.1,0.87,7.890,201.8 -6.0,0.87,7.980,201.3 -6.1,0.87,8.160,193.4 -6.1,0.87,10.180,189.0 -5.8,0.87,10.950,187.5 -5.3,0.87,11.770,186.3 -5.0,0.87,12.610,193.1 -4.4,0.87,13.450,196.3 -3.8,0.87,13.400,200.0 -3.6,0.87,13.440,204.9 -3.7,0.87,13.490,207.4 -3.6,0.87,12.590,203.6 -3.6,0.87,11.860,210.8 -3.5,0.87,11.130,212.1 -3.7,0.87,11.200,217.6 -4.2,0.87,10.450,226.1 -4.4,0.87,9.290,225.5 -2.9,0.87,4.140,298.9 -1.1,0.87,5.550,319.1 -0.1,0.87,6.270,339.7 --0.3,0.87,5.100,350.2 --0.3,0.87,3.610,353.5 -0.6,0.87,3.220,8.5 -2.1,0.87,2.840,11.7 -3.0,0.87,3.960,18.9 -3.2,0.87,5.780,18.3 -3.2,0.87,6.850,21.0 -1.5,0.87,8.010,16.5 -0.8,0.87,6.120,20.0 -0.6,0.87,4.630,21.9 -0.5,0.87,4.190,0.8 -0.6,0.87,3.920,348.5 -1.0,0.87,4.830,352.6 -1.4,0.87,5.210,341.1 -1.6,0.87,6.500,323.8 -1.9,0.87,8.860,322.1 -2.0,0.87,9.690,321.0 -2.0,0.87,8.970,324.2 -1.4,0.87,9.520,328.8 -1.5,0.87,8.570,353.4 -0.7,0.87,7.700,7.7 -0.1,0.87,6.370,3.0 --0.2,0.87,4.980,1.2 -0.6,0.87,3.870,350.2 -1.5,0.87,4.200,4.0 -2.6,0.87,3.090,355.4 -3.7,0.87,2.340,6.0 -4.7,0.87,0.870,11.2 -5.6,0.87,0.340,335.6 -6.3,0.87,0.900,107.3 -6.6,0.87,3.200,144.6 -6.4,0.87,5.270,128.0 -6.0,0.87,7.850,131.1 -4.0,0.87,10.960,130.8 -2.1,0.87,11.400,129.9 -0.8,0.87,10.570,129.5 --0.8,0.87,8.770,121.0 --2.1,0.87,8.270,116.3 --2.9,0.88,7.530,114.4 --3.6,0.88,7.960,110.2 --4.5,0.88,8.030,109.3 --5.0,0.88,5.680,102.3 --5.5,0.88,6.070,98.2 --6.0,0.88,6.030,96.4 --6.8,0.88,6.370,72.5 --7.2,0.88,6.660,68.6 --7.5,0.88,6.140,75.2 --7.3,0.88,5.710,70.9 --6.5,0.88,5.100,71.2 --5.5,0.88,4.550,75.8 --4.6,0.88,4.210,86.5 --3.7,0.88,4.190,95.5 --3.1,0.88,4.670,109.7 --2.9,0.88,5.470,112.2 --3.0,0.88,5.590,113.6 --3.5,0.88,6.840,110.4 --4.2,0.88,6.540,129.6 --4.9,0.88,7.300,130.6 --5.6,0.88,7.730,141.8 --6.2,0.88,8.010,145.7 --6.6,0.88,7.910,151.9 --7.0,0.88,8.140,155.1 --7.1,0.88,8.510,161.8 --7.3,0.88,8.430,162.3 --7.4,0.88,8.610,166.8 --7.4,0.88,8.770,169.1 --7.5,0.88,9.170,175.0 --7.6,0.88,9.660,178.3 --7.6,0.88,10.390,182.2 --7.6,0.87,10.470,183.5 --7.1,0.87,9.980,184.7 --5.9,0.87,9.490,188.2 --4.5,0.87,9.790,190.9 --3.4,0.87,10.290,203.9 --5.8,0.87,9.900,194.0 --5.6,0.87,9.500,193.3 --5.4,0.87,8.660,189.0 --5.3,0.87,10.230,191.8 --5.1,0.87,10.410,186.7 --5.2,0.87,10.800,184.2 --5.2,0.87,13.720,188.5 --5.6,0.87,15.580,189.2 --5.6,0.87,16.040,192.8 --5.3,0.86,13.850,198.3 --5.3,0.86,15.530,200.1 --5.2,0.86,14.990,202.3 --5.2,0.86,15.950,201.8 --4.7,0.86,16.550,206.9 --4.2,0.86,17.230,211.1 --3.6,0.86,17.480,216.0 --2.9,0.86,16.060,224.7 --2.2,0.86,15.430,228.4 --1.1,0.86,16.470,231.4 -1.4,0.86,16.800,239.7 -4.1,0.86,16.810,252.8 -6.4,0.86,14.340,258.2 -8.1,0.86,12.540,267.2 -9.4,0.86,11.660,282.1 -10.2,0.86,10.510,288.6 -10.8,0.86,8.340,289.2 -11.6,0.86,7.390,299.0 -11.7,0.86,5.790,318.0 -11.5,0.86,3.820,339.2 -10.2,0.86,2.350,48.2 -9.8,0.86,3.470,73.3 -9.2,0.86,3.800,110.0 -7.3,0.86,7.370,143.8 -7.8,0.86,8.300,165.8 -8.1,0.86,5.270,193.6 -7.4,0.86,4.070,211.2 -7.6,0.86,4.470,216.7 -6.7,0.86,2.670,227.9 -6.6,0.86,10.360,265.9 -7.6,0.86,9.580,287.6 -6.9,0.86,9.430,286.8 -5.7,0.86,4.230,274.8 -6.6,0.86,10.000,258.9 -6.5,0.86,7.960,252.2 -7.9,0.86,8.060,241.7 -9.8,0.86,8.130,236.5 -10.4,0.86,5.630,236.2 -12.1,0.86,5.970,238.8 -13.1,0.86,5.540,237.2 -14.4,0.86,7.320,231.4 -14.6,0.86,7.330,224.1 -14.6,0.86,6.790,201.5 -14.6,0.86,6.250,236.1 -14.0,0.86,9.030,246.5 -12.9,0.86,9.790,253.1 -12.0,0.86,9.910,252.8 -10.8,0.86,11.040,239.0 -11.4,0.86,11.670,231.2 -9.8,0.86,9.840,231.1 -10.6,0.86,12.980,233.0 -8.8,0.86,15.440,238.8 -8.5,0.86,14.830,233.2 -7.8,0.86,15.410,232.6 -7.1,0.86,15.690,238.7 -6.4,0.86,14.820,232.8 -5.0,0.86,14.390,233.0 -3.7,0.86,14.450,226.8 -2.2,0.86,13.020,224.6 -3.2,0.86,10.810,231.3 -4.4,0.86,11.010,247.6 -5.9,0.86,11.650,279.1 -6.0,0.86,10.660,302.6 -6.2,0.86,10.800,318.1 -6.8,0.86,11.120,335.4 -5.0,0.87,11.700,342.4 -4.7,0.87,8.760,341.1 -5.2,0.87,7.300,354.5 -5.0,0.87,9.160,15.0 -3.0,0.87,9.330,33.5 -2.0,0.87,8.370,43.3 -2.2,0.87,8.880,43.0 -1.8,0.87,9.190,40.7 -1.4,0.87,9.490,44.0 -0.8,0.87,8.050,44.2 --0.5,0.87,7.150,43.3 --0.8,0.87,6.800,45.6 --0.9,0.87,7.010,45.5 --1.2,0.87,6.440,43.4 --1.4,0.87,6.290,51.4 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-3.7,0.88,5.820,256.3 -6.8,0.88,4.180,247.4 -9.3,0.87,4.730,242.3 -10.7,0.87,5.130,228.9 -12.2,0.87,6.810,226.5 -12.8,0.87,7.030,224.6 -12.6,0.87,7.280,220.1 -12.1,0.87,8.270,214.0 -10.5,0.87,12.580,217.3 -9.3,0.87,13.220,221.2 -7.9,0.87,13.420,227.5 -6.7,0.87,14.310,228.4 -7.0,0.87,14.990,230.7 -6.6,0.87,13.500,232.5 -6.8,0.87,14.570,236.2 -6.6,0.87,14.660,236.2 -6.0,0.87,13.910,241.3 -5.9,0.87,14.990,244.7 -5.6,0.87,15.290,241.8 -5.6,0.87,15.170,240.5 -6.4,0.87,16.410,238.1 -6.6,0.87,16.730,237.9 -6.0,0.87,16.500,239.2 -4.9,0.87,12.100,244.0 -5.4,0.87,6.810,252.8 -7.6,0.87,4.970,251.8 -9.7,0.87,5.220,250.8 -11.5,0.87,5.860,249.0 -13.0,0.87,6.130,251.7 -13.8,0.87,6.080,256.9 -14.2,0.87,5.050,259.0 -14.4,0.87,3.970,271.1 -12.6,0.87,2.160,305.0 -11.8,0.87,1.510,243.8 -12.2,0.87,3.140,259.1 -12.1,0.87,4.120,268.7 -10.2,0.87,5.090,321.8 -8.0,0.87,7.220,321.4 -8.3,0.87,7.170,333.7 -7.0,0.87,6.060,335.7 -6.1,0.87,5.530,335.4 -5.3,0.87,7.010,327.1 -4.7,0.87,6.780,327.6 -4.5,0.87,5.920,323.7 -4.4,0.87,5.440,318.5 -5.9,0.87,4.600,312.7 -7.1,0.87,5.140,297.8 -7.3,0.87,6.880,298.2 -7.6,0.87,6.090,285.4 -9.6,0.86,5.690,281.7 -12.1,0.86,5.890,268.7 -13.6,0.86,6.460,310.0 -12.3,0.86,5.200,332.7 -12.7,0.86,6.190,338.1 -12.4,0.86,5.900,336.6 -12.5,0.86,5.970,313.9 -12.9,0.87,6.100,317.0 -13.0,0.87,7.420,328.9 -9.4,0.87,9.350,11.7 -8.4,0.87,6.710,36.8 -6.1,0.87,6.350,42.1 -5.1,0.87,5.310,35.6 -4.0,0.87,3.740,34.0 -3.5,0.87,2.230,20.2 -3.3,0.87,2.970,5.5 -2.8,0.87,3.050,356.8 -2.5,0.87,2.470,26.6 -2.4,0.87,2.970,61.5 -2.7,0.87,3.790,97.8 -2.0,0.87,3.710,128.3 -1.7,0.87,5.820,133.3 -1.7,0.86,7.280,142.6 -1.8,0.86,5.990,155.4 -3.3,0.86,7.660,162.4 -5.0,0.86,7.870,167.3 -6.4,0.86,9.070,165.2 -7.7,0.86,9.930,168.8 -8.3,0.86,9.860,168.2 -8.2,0.86,10.200,162.5 -5.8,0.86,9.750,152.8 -3.9,0.86,11.750,154.4 -3.5,0.86,12.560,157.2 -2.7,0.86,12.940,154.6 -2.0,0.86,12.990,153.8 -0.5,0.86,14.010,150.2 --0.7,0.86,14.570,145.6 --1.6,0.86,13.970,140.6 --2.6,0.86,9.130,117.6 --3.4,0.86,6.860,99.2 --4.4,0.86,7.510,64.3 --5.4,0.86,9.200,42.2 --6.8,0.86,10.460,29.9 --8.0,0.86,11.780,24.2 --8.5,0.86,13.000,17.8 --8.8,0.86,13.660,13.8 --9.6,0.87,13.330,10.1 --9.7,0.87,12.920,6.7 --9.5,0.87,14.090,5.3 --9.5,0.87,13.950,0.0 --8.7,0.87,13.110,3.0 --7.8,0.87,13.460,358.1 --7.4,0.87,13.330,358.4 --7.1,0.87,12.640,359.6 --7.2,0.87,11.570,4.8 --7.8,0.87,9.960,6.6 --7.9,0.87,9.520,358.5 --8.3,0.87,7.590,353.7 --9.0,0.87,9.510,3.3 --9.5,0.87,8.750,5.3 --10.0,0.87,9.000,8.9 --10.3,0.87,8.550,10.5 --10.7,0.87,7.440,5.9 --11.0,0.87,6.870,356.4 --11.3,0.87,5.820,342.8 --11.7,0.87,5.750,346.3 --12.0,0.87,4.400,1.3 --12.1,0.87,3.750,358.0 --12.1,0.87,2.080,339.1 --11.7,0.87,0.810,319.4 --10.9,0.87,1.170,233.7 --9.1,0.87,2.490,192.6 --6.4,0.87,4.150,188.7 --4.1,0.87,5.610,190.9 --1.9,0.87,6.680,191.1 --0.2,0.87,8.250,185.2 -0.7,0.87,9.350,183.8 -1.2,0.86,9.980,182.4 -0.7,0.86,11.350,182.2 --0.3,0.86,12.310,177.2 --1.0,0.86,14.660,178.0 --1.7,0.86,13.990,179.5 --2.3,0.86,15.040,183.7 --2.8,0.86,15.710,184.8 --3.1,0.86,14.990,189.9 --3.6,0.86,13.480,189.6 --4.0,0.86,12.930,188.5 --4.3,0.86,13.440,190.8 --4.3,0.86,12.790,193.9 --3.5,0.86,12.680,203.0 --2.9,0.86,13.710,213.4 --2.4,0.86,14.450,220.2 --1.9,0.86,13.480,228.1 -0.1,0.86,13.240,241.8 -1.4,0.86,12.960,249.9 -3.7,0.86,11.750,249.9 -5.2,0.86,9.430,250.6 -6.1,0.86,8.540,268.1 -6.7,0.86,8.320,267.8 -7.1,0.86,6.440,275.7 -7.3,0.86,5.250,280.6 -7.2,0.86,4.240,279.3 -7.0,0.86,3.930,294.4 -6.6,0.86,3.160,310.7 -1.1,0.86,10.270,73.7 --1.5,0.86,8.780,59.9 --3.6,0.86,8.800,48.3 --4.9,0.86,7.660,44.4 --5.8,0.86,7.400,40.7 --6.5,0.86,7.010,35.5 --7.3,0.86,7.400,24.6 --8.0,0.86,8.210,13.0 --8.8,0.86,8.500,8.8 --9.7,0.86,8.890,11.1 --10.1,0.86,8.850,6.2 --10.1,0.87,8.050,4.2 --10.1,0.87,7.450,347.0 --10.1,0.87,7.860,350.1 --9.8,0.87,6.720,352.0 --8.7,0.87,6.390,349.2 --7.3,0.87,5.780,342.4 --5.6,0.87,5.620,344.4 --4.3,0.87,5.480,345.5 --2.7,0.87,5.390,347.4 --1.9,0.87,5.170,343.9 --1.5,0.87,5.120,340.2 --1.4,0.87,3.970,332.4 --1.4,0.87,3.200,305.0 --1.4,0.87,4.350,277.0 --1.0,0.87,4.640,283.4 --0.7,0.87,5.100,300.7 --0.7,0.87,5.360,311.3 --1.1,0.87,5.240,314.5 --1.5,0.87,4.710,316.2 --2.2,0.87,4.660,321.9 --2.6,0.87,4.800,325.1 --2.7,0.87,4.540,311.9 --2.4,0.87,5.490,310.5 --2.0,0.87,5.680,306.9 --1.9,0.87,5.700,307.9 --2.0,0.87,5.570,307.2 --2.6,0.87,5.200,305.6 --2.4,0.88,5.030,307.3 --2.1,0.88,3.120,301.1 --0.5,0.88,2.130,301.4 -1.3,0.88,1.970,297.4 -2.9,0.88,1.580,268.2 -3.9,0.88,2.850,224.1 -4.4,0.87,4.270,207.1 -4.5,0.87,4.890,205.3 -4.6,0.87,5.110,200.5 -3.9,0.87,7.730,203.0 -3.6,0.87,9.960,202.5 -3.3,0.87,10.960,196.8 -3.0,0.87,11.730,193.6 -2.0,0.87,14.130,201.6 -1.2,0.87,12.890,201.0 --0.7,0.87,12.190,194.9 --0.8,0.87,13.840,196.6 --0.1,0.87,16.980,199.9 --0.3,0.87,17.120,201.1 --1.0,0.87,15.820,203.3 --0.6,0.87,18.180,204.1 --1.1,0.87,14.830,204.6 --1.2,0.87,14.530,204.4 --1.5,0.87,13.480,200.8 --1.6,0.87,13.310,198.7 --0.1,0.87,10.640,195.0 -1.8,0.87,11.750,197.1 -2.9,0.87,10.850,196.3 -3.8,0.87,9.870,195.7 -4.5,0.87,9.090,194.5 -5.0,0.87,8.730,193.9 -4.9,0.87,8.680,190.4 -4.2,0.87,8.990,188.0 -3.7,0.87,9.540,187.1 -3.3,0.87,10.340,180.2 -2.5,0.87,11.040,185.1 -1.3,0.87,12.760,190.5 -0.3,0.87,12.370,195.0 -0.4,0.87,10.410,191.7 -0.4,0.87,10.520,188.9 -0.8,0.87,9.280,192.8 -1.6,0.87,8.540,200.8 -1.0,0.87,8.220,193.6 -1.2,0.86,7.840,198.7 -0.9,0.86,8.150,195.0 -0.6,0.86,6.900,200.1 -0.2,0.86,4.480,212.8 -0.3,0.86,3.740,212.2 --0.0,0.86,2.230,268.0 --0.1,0.86,3.040,307.2 --0.3,0.86,3.530,336.7 --0.5,0.87,5.130,348.8 --2.3,0.87,4.560,345.6 --2.3,0.87,4.780,337.0 --2.3,0.87,5.450,348.0 --2.2,0.87,5.270,353.4 --2.1,0.87,4.750,359.5 -13.1,0.87,15.150,357.0 -10.2,0.87,11.930,353.1 -8.3,0.87,12.200,355.7 -7.2,0.87,15.250,3.9 -6.3,0.88,14.140,8.5 -5.5,0.88,12.070,352.8 diff --git a/hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m.srw b/hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m.srw deleted file mode 100644 index f62146df0..000000000 --- a/hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m.srw +++ /dev/null @@ -1,8765 +0,0 @@ -976301,city??,TX,country??,2012,35.2070121765,-101.940917969,Not Available,1,8760 -WIND Toolkit data from NREL downloaded on 2023-7-28 -Temperature,Pressure,Speed,Direction -C,atm,m/s,Degrees -80,80,80,80 -4.7,0.88,12.290,358.5 -3.8,0.88,12.160,2.6 -2.9,0.88,8.500,0.2 -2.5,0.88,8.670,359.6 -2.0,0.88,8.080,0.5 -1.4,0.88,8.160,6.8 -1.1,0.88,8.590,5.8 -0.6,0.88,7.710,3.9 -0.2,0.88,5.260,346.6 -0.2,0.88,3.680,333.5 -0.7,0.88,3.690,343.8 -1.6,0.88,3.430,357.9 -2.5,0.88,3.230,355.9 -3.3,0.88,2.430,358.2 -4.0,0.88,1.970,358.1 -4.5,0.88,1.330,359.9 -4.7,0.88,1.170,8.4 -4.6,0.88,1.410,18.6 -4.0,0.88,1.920,33.0 -3.4,0.88,2.450,44.7 -3.1,0.88,2.800,52.2 -2.7,0.88,2.970,60.2 -2.3,0.89,2.780,57.2 -1.8,0.89,2.640,52.3 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--4.4,0.88,4.190,86.0 --3.5,0.88,4.150,95.2 --2.9,0.88,4.640,109.6 --2.7,0.88,5.420,112.1 --2.8,0.88,5.530,113.4 --3.3,0.88,6.670,110.3 --4.0,0.88,6.290,129.3 --4.7,0.88,7.130,130.1 --5.4,0.88,7.570,141.8 --5.9,0.88,7.850,145.7 --6.4,0.88,7.780,152.0 --6.8,0.88,7.990,154.9 --6.9,0.88,8.360,161.7 --7.1,0.88,8.300,162.1 --7.1,0.88,8.450,166.4 --7.2,0.88,8.560,168.8 --7.3,0.88,8.940,174.7 --7.4,0.88,9.400,177.8 --7.4,0.88,10.070,181.9 --7.4,0.87,10.220,183.2 --6.9,0.87,9.870,184.5 --5.6,0.87,9.360,188.0 --4.2,0.87,9.630,190.8 --3.1,0.87,10.110,203.9 --5.5,0.87,9.740,193.9 --5.4,0.87,9.330,193.0 --5.2,0.87,8.490,188.6 --5.1,0.87,10.040,191.4 --4.9,0.87,10.140,186.2 --5.0,0.87,10.300,183.6 --5.0,0.87,13.200,187.8 --5.5,0.87,14.930,188.7 --5.4,0.87,15.400,192.3 --5.2,0.86,13.190,197.7 --5.2,0.86,14.790,199.3 --5.1,0.86,14.200,201.1 --5.1,0.86,15.150,200.5 --4.6,0.86,15.660,205.7 --4.1,0.86,16.340,210.1 --3.5,0.86,16.500,214.7 --2.9,0.86,15.040,223.2 --2.3,0.86,14.340,226.4 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--11.0,0.87,1.100,225.6 --8.9,0.87,2.470,192.3 --6.2,0.87,4.110,188.5 --3.9,0.87,5.540,190.7 --1.7,0.87,6.590,190.9 --0.0,0.87,8.130,184.8 -0.9,0.87,9.190,183.5 -1.4,0.86,9.790,182.1 -0.8,0.86,10.740,181.5 --0.3,0.86,11.570,176.0 --1.0,0.86,13.870,177.3 --1.8,0.86,13.120,178.4 --2.4,0.86,14.150,182.4 --2.9,0.86,14.930,183.2 --3.3,0.86,14.230,187.4 --3.9,0.86,12.410,186.5 --4.2,0.86,11.970,186.3 --4.3,0.86,12.640,188.6 --4.4,0.86,12.000,190.4 --3.7,0.86,11.610,198.4 --3.3,0.86,12.350,209.6 --3.1,0.86,13.250,216.3 --3.0,0.86,12.310,221.8 --1.5,0.86,12.010,233.9 -0.8,0.86,11.780,245.6 -3.8,0.86,10.830,247.4 -5.4,0.86,9.280,250.2 -6.3,0.86,8.410,268.3 -6.9,0.86,8.200,267.9 -7.3,0.86,6.350,275.6 -7.5,0.86,5.180,280.9 -7.5,0.86,4.190,279.8 -7.2,0.86,3.910,295.3 -6.7,0.86,3.090,312.2 -1.5,0.86,9.320,71.8 --1.3,0.86,7.760,60.3 --3.5,0.86,7.860,45.9 --4.7,0.86,6.760,42.4 --5.6,0.86,6.620,38.1 --6.3,0.86,6.350,33.0 --7.1,0.86,7.070,23.5 --7.8,0.86,8.110,12.6 --8.6,0.86,8.410,8.3 --9.5,0.86,8.690,10.5 --9.9,0.86,8.490,5.2 --9.9,0.87,7.640,3.7 --10.0,0.87,7.150,344.9 --10.0,0.87,7.430,346.8 --9.7,0.87,6.460,350.0 --8.5,0.87,6.320,348.8 --7.0,0.87,5.720,342.1 --5.4,0.87,5.560,344.1 --4.0,0.87,5.420,345.2 --2.5,0.87,5.330,347.2 --1.7,0.87,5.120,343.7 --1.3,0.87,5.050,340.1 --1.2,0.87,3.890,332.3 --1.3,0.87,3.160,302.8 --1.2,0.87,4.550,274.7 --0.8,0.87,4.790,280.9 --0.6,0.87,5.160,299.7 --0.7,0.87,5.310,309.4 --1.2,0.87,5.090,314.2 --1.8,0.87,4.390,315.4 --2.5,0.87,4.310,322.8 --3.0,0.87,4.490,323.9 --3.0,0.87,4.170,310.1 --2.7,0.87,5.130,309.6 --2.3,0.87,5.710,305.1 --2.4,0.87,5.930,306.1 --2.5,0.87,5.800,305.4 --3.1,0.87,5.320,304.5 --2.9,0.88,4.940,306.2 --2.2,0.88,2.340,303.1 --0.3,0.88,2.100,305.0 -1.5,0.88,1.950,301.2 -3.1,0.88,1.510,272.1 -4.1,0.88,2.800,224.3 -4.6,0.87,4.210,207.0 -4.8,0.87,4.790,205.3 -4.8,0.87,4.990,200.9 -3.9,0.87,7.450,200.2 -3.8,0.87,10.040,202.4 -3.2,0.87,10.930,196.3 -2.8,0.87,11.330,193.4 -1.5,0.87,13.140,201.1 -0.8,0.87,11.580,200.6 --1.2,0.87,10.790,191.6 --1.2,0.87,12.370,195.7 --0.4,0.87,15.820,199.9 --0.7,0.87,15.700,200.9 --1.1,0.87,14.490,203.1 --0.8,0.87,17.030,203.8 --1.3,0.87,13.650,203.8 --1.5,0.87,13.320,203.8 --1.8,0.87,12.230,199.2 --1.7,0.87,12.420,197.3 --0.0,0.87,9.900,194.0 -2.0,0.87,11.520,197.0 -3.2,0.87,10.650,196.2 -4.0,0.87,9.690,195.6 -4.7,0.87,8.920,194.4 -5.2,0.87,8.560,193.8 -5.1,0.87,8.480,190.2 -4.4,0.87,8.490,187.3 -3.8,0.87,8.910,186.7 -3.5,0.87,9.720,179.5 -2.7,0.87,10.550,184.5 -1.5,0.87,12.290,190.2 -0.5,0.87,11.540,194.8 -0.4,0.87,9.650,189.8 -0.6,0.87,10.260,188.6 -0.8,0.87,8.680,191.4 -1.4,0.87,7.920,198.5 -1.1,0.87,7.710,192.2 -1.3,0.86,7.420,196.6 -1.1,0.86,7.750,194.2 -0.7,0.86,6.400,197.6 -0.2,0.86,3.940,208.9 -0.2,0.86,3.190,206.0 --0.0,0.86,1.990,277.2 --0.1,0.86,2.680,309.1 --0.2,0.86,3.280,338.6 --0.3,0.87,5.170,348.6 --2.1,0.87,4.590,345.3 --2.1,0.87,4.770,337.1 --2.1,0.87,5.420,348.1 --2.0,0.87,5.230,353.6 --1.9,0.87,4.690,359.5 -13.2,0.87,13.590,357.5 -10.4,0.87,10.780,351.5 -8.3,0.87,10.770,352.6 -7.2,0.87,14.320,3.8 -6.3,0.88,12.920,7.1 -5.3,0.88,10.550,349.6 diff --git a/hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw b/hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw deleted file mode 100644 index 8c13a4141..000000000 --- a/hopp/simulation/resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw +++ /dev/null @@ -1,8765 +0,0 @@ -976301,city??,TX,country??,2012,35.2070121765,-101.940917969,Not Available,1,8760 -WIND Toolkit data from NREL downloaded on 2023-7-28 -Temperature,Pressure,Speed,Direction,Temperature,Pressure,Speed,Direction -C,atm,m/s,Degrees,C,atm,m/s,Degrees -80,80,80,80,100,100,100,100 -4.7,0.88,12.290,358.5,4.6,0.88,13.540,359.4 -3.8,0.88,12.160,2.6,3.7,0.88,13.380,5.9 -2.9,0.88,8.500,0.2,2.8,0.88,9.440,4.4 -2.5,0.88,8.670,359.6,2.3,0.88,9.740,4.2 -2.0,0.88,8.080,0.5,1.8,0.88,8.890,5.2 -1.4,0.88,8.160,6.8,1.3,0.88,8.380,11.2 -1.1,0.88,8.590,5.8,1.0,0.88,9.190,9.7 -0.6,0.88,7.710,3.9,0.5,0.88,8.270,8.2 -0.2,0.88,5.260,346.6,0.1,0.88,5.660,354.8 -0.2,0.88,3.680,333.5,0.1,0.88,3.740,341.7 -0.7,0.88,3.690,343.8,0.5,0.88,3.710,345.0 -1.6,0.88,3.430,357.9,1.4,0.88,3.450,358.2 -2.5,0.88,3.230,355.9,2.3,0.88,3.240,356.0 -3.3,0.88,2.430,358.2,3.1,0.88,2.430,358.3 -4.0,0.88,1.970,358.1,3.8,0.88,1.960,358.5 -4.5,0.88,1.330,359.9,4.2,0.88,1.310,0.4 -4.7,0.88,1.170,8.4,4.5,0.88,1.160,8.8 -4.6,0.88,1.410,18.6,4.4,0.88,1.360,17.5 -4.0,0.88,1.920,33.0,3.8,0.88,1.800,34.0 -3.4,0.88,2.450,44.7,3.3,0.88,2.380,44.6 -3.1,0.88,2.800,52.2,3.0,0.88,2.830,49.2 -2.7,0.88,2.970,60.2,2.7,0.88,3.210,59.7 -2.3,0.89,2.780,57.2,2.4,0.89,3.090,57.4 -1.8,0.89,2.640,52.3,2.0,0.89,2.970,50.2 -1.2,0.89,2.380,49.0,1.3,0.89,2.720,48.7 -0.5,0.89,2.020,39.6,0.7,0.89,2.390,42.4 -0.3,0.89,1.380,16.8,0.6,0.89,1.690,26.6 -0.2,0.89,1.600,21.4,0.5,0.89,1.910,29.0 --0.0,0.89,1.440,358.3,0.4,0.89,1.670,12.4 --1.1,0.89,2.180,350.4,-0.7,0.89,2.380,356.6 --1.7,0.89,2.210,343.9,-1.3,0.89,2.480,351.8 --1.8,0.89,2.140,336.1,-1.5,0.89,2.360,346.6 --1.6,0.89,2.120,328.6,-1.4,0.89,2.200,337.4 --1.2,0.89,2.070,294.3,-1.0,0.89,1.940,300.9 --0.3,0.89,1.270,258.3,-0.4,0.89,1.430,261.1 -1.8,0.89,1.600,226.7,1.6,0.89,1.700,225.3 -3.6,0.89,3.540,217.8,3.4,0.89,3.600,218.1 -5.2,0.89,5.410,226.7,5.0,0.89,5.490,227.0 -6.4,0.88,5.730,230.2,6.2,0.88,5.820,230.6 -7.1,0.88,6.220,237.0,6.9,0.88,6.320,237.3 -7.6,0.88,5.820,235.9,7.4,0.88,5.960,236.3 -7.7,0.88,6.350,226.7,7.5,0.88,6.590,228.2 -7.5,0.88,7.910,221.1,7.4,0.88,8.350,223.5 -6.7,0.88,10.140,225.2,6.8,0.88,10.720,228.6 -6.3,0.88,11.120,235.9,6.6,0.88,11.450,237.6 -5.4,0.88,11.060,238.1,6.0,0.88,11.640,239.9 -4.8,0.88,11.700,234.9,5.4,0.88,12.430,236.1 -4.2,0.88,12.440,233.6,5.0,0.88,13.450,234.7 -3.4,0.88,12.680,230.1,4.2,0.88,14.020,232.2 -2.9,0.88,13.240,228.3,3.6,0.88,14.690,230.8 -2.8,0.88,14.090,227.5,3.5,0.88,15.570,230.2 -2.7,0.88,14.400,230.3,3.5,0.88,15.980,232.8 -2.5,0.88,14.320,230.2,3.2,0.88,15.950,232.9 -2.6,0.88,14.600,230.5,3.3,0.88,16.210,232.8 -2.9,0.88,15.080,234.4,3.6,0.88,16.680,236.8 -3.0,0.87,15.010,234.3,3.6,0.87,16.590,237.0 -2.6,0.87,13.280,234.6,3.2,0.87,14.840,237.8 -3.2,0.87,11.070,236.5,3.4,0.87,12.110,238.3 -5.6,0.87,7.780,240.6,5.5,0.87,8.710,242.3 -7.9,0.87,7.830,245.0,7.7,0.87,7.980,245.3 -10.0,0.87,7.780,255.1,9.8,0.87,7.900,255.1 -11.9,0.87,6.520,257.2,11.7,0.87,6.610,257.3 -13.2,0.87,6.150,260.6,13.0,0.87,6.220,260.6 -14.0,0.87,5.550,262.2,13.8,0.87,5.610,262.2 -14.3,0.87,4.930,266.9,14.1,0.87,5.050,267.0 -14.2,0.87,4.340,277.7,14.1,0.87,4.660,278.1 -12.6,0.87,3.390,312.7,12.8,0.87,3.870,309.3 -12.3,0.87,4.450,304.3,12.4,0.87,4.960,303.3 -11.4,0.87,7.400,318.5,11.5,0.87,7.730,320.5 -10.4,0.87,9.840,324.8,10.9,0.87,10.310,331.8 -7.6,0.87,8.500,356.3,7.9,0.87,8.410,2.5 -7.0,0.87,7.330,5.3,7.2,0.87,7.970,7.6 -7.0,0.87,8.020,10.5,7.3,0.87,9.000,12.7 -7.0,0.87,8.250,1.5,7.2,0.87,9.030,4.7 -6.4,0.88,8.960,358.8,6.2,0.88,9.850,4.7 -4.9,0.88,9.430,358.2,4.8,0.88,10.020,5.5 -3.9,0.88,9.200,5.8,3.8,0.88,10.510,12.0 -3.5,0.88,8.070,6.7,3.6,0.88,9.390,10.3 -3.6,0.88,7.360,358.8,3.6,0.88,8.230,4.4 -3.1,0.88,7.310,359.9,3.0,0.88,8.370,6.3 -2.9,0.88,7.370,357.2,2.8,0.88,7.970,1.8 -2.6,0.88,6.530,356.5,2.7,0.88,7.180,1.7 -3.3,0.88,4.960,351.1,3.2,0.88,5.260,353.7 -4.6,0.88,3.850,335.1,4.4,0.88,3.880,336.5 -6.0,0.88,3.870,329.7,5.8,0.88,3.900,330.4 -7.5,0.88,4.240,330.8,7.3,0.88,4.260,331.3 -8.6,0.88,3.980,326.8,8.4,0.88,4.000,327.0 -9.5,0.88,3.680,317.4,9.2,0.88,3.700,317.2 -10.0,0.88,3.650,310.0,9.8,0.88,3.680,309.7 -10.1,0.88,3.750,298.1,9.9,0.88,3.830,297.0 -10.2,0.88,4.230,290.7,10.1,0.88,4.420,289.1 -10.8,0.88,5.520,280.6,10.6,0.88,5.630,280.3 -11.0,0.88,6.940,276.1,10.9,0.88,6.520,279.4 -11.6,0.88,6.320,280.3,11.4,0.88,6.100,281.7 -12.0,0.88,6.660,279.9,11.9,0.88,6.420,281.4 -12.0,0.88,6.950,278.8,12.0,0.88,6.740,281.2 -12.1,0.88,7.210,274.9,12.0,0.88,7.010,277.1 -11.2,0.88,7.610,266.8,11.4,0.88,7.320,270.1 -11.0,0.88,8.690,265.5,11.1,0.88,8.310,267.9 -10.8,0.88,9.760,272.8,11.2,0.88,9.130,274.7 -11.0,0.88,8.960,276.1,11.3,0.88,8.150,277.9 -11.0,0.88,8.100,277.6,11.1,0.88,7.660,279.5 -11.2,0.88,7.250,284.9,11.4,0.88,6.770,286.9 -10.9,0.87,6.640,284.2,11.1,0.87,6.220,287.7 -10.5,0.87,6.690,291.1,10.7,0.87,6.250,293.7 -9.9,0.87,5.960,284.9,10.2,0.87,5.670,289.4 -8.6,0.87,4.620,261.8,9.7,0.87,4.970,266.3 -9.3,0.87,2.300,257.8,9.4,0.87,3.230,258.4 -12.1,0.87,3.300,256.0,11.9,0.87,3.370,255.9 -13.8,0.87,4.400,245.0,13.6,0.87,4.450,245.4 -14.6,0.87,4.950,235.8,14.4,0.87,5.010,236.1 -15.1,0.87,5.220,232.6,14.9,0.87,5.270,232.9 -14.7,0.87,5.890,218.1,14.5,0.87,5.950,218.7 -14.3,0.87,7.240,213.8,14.2,0.87,7.550,215.7 -14.1,0.87,10.360,215.3,14.0,0.87,10.710,217.0 -11.1,0.87,13.460,221.8,11.5,0.87,14.300,223.9 -9.9,0.87,13.500,228.3,10.3,0.87,14.370,229.8 -9.4,0.87,14.000,229.4,9.9,0.87,15.240,230.5 -8.3,0.87,13.820,228.6,8.9,0.87,15.280,230.7 -7.6,0.87,14.430,230.1,8.5,0.87,15.980,232.5 -6.9,0.86,14.900,229.0,7.7,0.86,16.430,231.1 -6.5,0.86,14.510,229.5,7.3,0.86,16.050,231.7 -6.4,0.86,15.320,228.6,7.1,0.86,16.790,230.2 -5.5,0.86,13.850,230.2,6.3,0.86,15.390,232.7 -5.1,0.86,13.190,242.0,5.9,0.86,14.450,245.6 -5.3,0.86,12.460,252.5,6.7,0.86,12.900,259.0 -6.2,0.86,12.100,263.4,7.9,0.86,10.910,278.1 -4.4,0.86,9.580,297.7,4.8,0.86,10.500,300.7 -4.8,0.86,11.430,315.1,5.5,0.86,11.040,323.6 -5.2,0.86,10.560,337.0,5.5,0.86,11.100,343.5 -5.7,0.86,8.890,345.8,5.5,0.86,9.350,347.7 -7.1,0.86,9.560,343.9,6.9,0.86,9.730,344.7 -8.1,0.86,9.500,353.4,7.9,0.86,9.620,353.5 -8.9,0.86,10.220,357.7,8.7,0.86,10.340,357.8 -9.7,0.86,10.340,0.1,9.5,0.86,10.470,0.2 -10.1,0.86,10.040,3.6,9.9,0.86,10.180,3.8 -10.1,0.87,9.750,7.8,9.9,0.87,9.920,7.8 -9.5,0.87,9.150,12.2,9.3,0.87,9.600,12.3 -8.7,0.87,9.540,10.5,8.6,0.87,10.130,12.1 -7.8,0.87,11.550,14.0,7.7,0.87,12.970,16.1 -6.5,0.87,10.010,15.0,6.5,0.87,11.200,18.6 -5.4,0.87,8.870,8.1,5.3,0.87,9.830,14.0 -4.5,0.87,9.690,14.0,4.5,0.87,10.690,19.1 -3.8,0.87,10.020,18.8,3.9,0.87,11.140,23.7 -3.2,0.87,9.660,22.5,3.3,0.87,10.950,26.4 -2.7,0.87,7.910,19.7,2.8,0.87,8.970,23.0 -2.3,0.87,7.620,15.8,2.4,0.87,8.800,22.0 -1.7,0.87,6.440,7.3,1.6,0.87,7.000,12.1 -1.4,0.87,6.450,9.7,1.3,0.87,6.950,17.8 -1.0,0.87,6.820,13.9,0.9,0.87,7.310,21.4 -0.8,0.87,7.000,24.8,0.7,0.87,7.500,33.0 -0.1,0.87,4.640,28.0,0.1,0.87,5.200,36.0 --0.1,0.87,4.020,38.6,-0.1,0.87,4.120,42.9 --0.4,0.87,2.050,26.9,-0.4,0.87,2.260,34.8 -0.1,0.87,1.200,51.8,-0.0,0.87,1.290,55.6 -1.5,0.87,1.130,93.0,1.3,0.87,1.170,96.3 -3.5,0.87,2.440,138.1,3.3,0.87,2.490,139.3 -5.0,0.87,3.030,157.0,4.8,0.87,3.090,157.6 -5.9,0.87,4.600,164.1,5.7,0.87,4.650,164.1 -6.6,0.87,5.390,165.7,6.4,0.87,5.450,165.9 -7.0,0.87,6.050,171.0,6.8,0.87,6.160,171.3 -7.0,0.87,6.480,163.6,6.8,0.87,6.770,164.3 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-3.8,0.87,3.990,352.8,3.6,0.87,4.040,353.2 -4.0,0.87,3.800,350.6,3.9,0.87,3.920,352.2 -4.0,0.87,3.550,354.2,3.8,0.87,3.580,357.1 -3.9,0.87,4.440,354.4,3.8,0.87,4.730,355.7 -3.9,0.87,5.700,353.9,3.8,0.87,5.930,355.7 -3.8,0.87,6.750,352.9,3.7,0.87,6.860,355.3 -3.6,0.87,6.310,0.6,3.5,0.87,6.320,2.1 -2.3,0.87,4.530,6.4,2.7,0.87,5.000,6.2 -2.3,0.87,5.730,340.4,2.4,0.87,5.710,345.0 -1.5,0.87,7.170,320.7,1.8,0.87,6.890,327.0 -1.4,0.87,7.800,319.9,1.7,0.87,7.570,325.5 -1.2,0.87,8.060,322.0,1.6,0.87,7.840,329.0 -0.9,0.87,6.280,326.8,1.2,0.87,5.950,336.9 -0.9,0.87,5.690,330.5,1.0,0.87,5.390,339.5 -0.9,0.87,4.800,334.5,0.9,0.87,4.690,339.6 -1.2,0.87,5.310,324.3,1.4,0.87,5.070,332.2 -1.7,0.87,6.400,322.7,2.1,0.87,6.440,330.5 -1.4,0.87,7.190,318.3,2.0,0.87,7.200,325.8 -2.1,0.87,5.950,313.0,2.2,0.87,6.560,318.0 -3.9,0.87,6.020,319.4,3.7,0.87,6.040,319.8 -5.6,0.87,6.110,318.4,5.4,0.87,6.150,318.5 -7.1,0.87,6.430,316.9,6.9,0.87,6.480,316.9 -8.0,0.87,6.590,317.3,7.8,0.87,6.640,317.3 -8.6,0.87,5.890,319.2,8.4,0.87,5.930,319.1 -9.0,0.86,5.780,311.0,8.8,0.86,5.830,310.9 -9.2,0.86,4.350,301.8,9.0,0.86,4.590,301.0 -9.5,0.86,4.930,277.6,9.3,0.86,5.140,277.3 -9.8,0.86,7.380,259.5,9.7,0.86,7.330,261.6 -10.3,0.86,8.390,268.4,10.5,0.86,7.540,274.1 -11.3,0.86,8.000,271.8,11.3,0.86,7.460,274.8 -12.2,0.86,7.720,273.0,12.1,0.86,7.420,274.8 -12.8,0.86,7.420,261.9,12.9,0.86,7.320,264.1 -11.7,0.86,9.170,254.0,12.0,0.86,8.820,254.5 -12.2,0.86,7.430,256.0,12.6,0.86,7.010,255.8 -11.6,0.86,5.980,291.5,11.9,0.86,5.600,295.5 -8.5,0.86,5.270,310.0,9.2,0.86,5.090,309.6 -6.0,0.86,4.330,317.8,6.5,0.86,4.900,316.0 -5.3,0.86,6.740,312.2,5.9,0.86,7.630,311.7 -4.5,0.86,8.780,319.1,4.9,0.86,9.750,318.0 -3.6,0.86,11.120,321.3,4.2,0.86,11.210,330.7 -2.7,0.86,12.170,354.0,2.5,0.86,13.150,355.6 -1.5,0.86,12.790,353.7,1.3,0.86,13.520,356.3 -1.9,0.86,12.740,4.3,1.7,0.86,12.990,4.7 -2.5,0.86,13.280,6.3,2.3,0.86,13.510,6.4 -3.2,0.86,13.780,4.3,3.0,0.86,14.010,4.4 -3.5,0.86,14.170,4.8,3.2,0.86,14.410,4.8 -3.6,0.86,14.710,2.4,3.3,0.86,14.970,2.5 -3.6,0.86,14.420,1.7,3.4,0.86,14.680,1.7 -3.3,0.86,15.360,4.5,3.1,0.86,15.640,4.4 -2.5,0.87,14.690,6.0,2.3,0.87,15.070,5.9 -1.4,0.87,11.630,4.3,1.3,0.87,12.340,4.5 -0.6,0.87,13.050,358.3,0.5,0.87,13.570,358.9 --0.2,0.87,12.620,0.9,-0.4,0.87,13.370,1.8 --1.0,0.87,12.280,6.7,-1.2,0.87,12.990,7.3 --1.9,0.87,12.730,12.5,-2.1,0.87,13.250,12.8 --2.8,0.87,12.300,10.4,-3.0,0.87,12.810,10.6 --3.2,0.87,11.050,6.1,-3.3,0.87,11.610,6.3 --4.1,0.87,11.630,4.7,-4.3,0.87,12.140,5.0 --4.6,0.87,8.530,1.6,-4.8,0.87,8.780,359.7 --4.8,0.87,7.880,343.6,-4.9,0.87,8.220,344.8 --5.0,0.87,9.060,340.6,-5.2,0.87,9.450,342.8 --5.2,0.87,9.940,338.1,-5.3,0.87,10.580,340.2 --5.3,0.87,8.120,332.7,-5.5,0.87,8.620,333.8 --5.4,0.87,10.180,336.9,-5.5,0.87,11.080,338.2 --5.4,0.87,8.140,329.1,-5.5,0.87,9.260,332.8 --5.3,0.87,9.510,337.3,-5.4,0.87,9.930,338.6 --4.6,0.87,7.500,340.6,-4.8,0.87,7.640,341.0 --3.5,0.87,6.840,333.7,-3.7,0.87,6.920,333.8 --2.3,0.87,6.700,318.0,-2.5,0.87,6.750,318.0 --0.7,0.87,6.640,302.4,-0.9,0.87,6.710,302.2 -1.4,0.87,6.770,299.4,1.1,0.87,6.870,299.4 -2.5,0.87,6.950,299.2,2.3,0.87,7.040,299.3 -3.1,0.87,6.180,299.1,2.9,0.87,6.280,299.0 -3.2,0.87,5.270,303.3,3.0,0.87,5.450,301.7 -3.2,0.87,5.560,295.5,3.1,0.87,5.860,292.7 -3.5,0.87,8.180,274.0,3.3,0.87,8.250,273.4 -3.9,0.87,9.490,273.1,4.0,0.87,9.000,275.1 -2.9,0.87,10.900,266.1,3.1,0.87,10.230,267.9 -3.6,0.87,9.560,278.9,3.8,0.87,9.330,282.7 -1.7,0.87,6.110,287.7,2.1,0.87,6.570,290.9 -0.7,0.87,3.390,302.0,0.9,0.87,3.860,301.1 -0.6,0.87,2.310,302.8,0.7,0.87,2.690,300.7 -0.2,0.87,1.080,341.9,0.5,0.87,1.300,334.9 -0.0,0.87,1.840,322.6,0.2,0.87,2.200,320.3 -0.3,0.87,2.230,299.6,0.3,0.87,2.650,300.8 -0.2,0.87,3.190,270.2,0.3,0.87,3.570,273.0 -0.2,0.87,4.120,271.4,0.2,0.87,4.520,274.0 -0.1,0.87,3.720,290.2,0.1,0.87,4.240,289.7 -0.6,0.87,6.870,280.3,0.4,0.87,7.720,279.0 --1.2,0.87,6.530,283.6,-1.2,0.87,7.040,286.9 --0.6,0.87,5.200,292.6,-0.8,0.87,5.360,292.5 -1.2,0.87,4.620,301.9,1.0,0.87,4.670,301.1 -3.3,0.87,4.370,298.8,3.1,0.87,4.420,297.9 -5.3,0.87,4.230,296.4,5.1,0.87,4.290,295.6 -6.9,0.87,4.310,296.7,6.7,0.87,4.380,296.1 -7.9,0.87,4.350,291.8,7.7,0.87,4.410,291.2 -8.6,0.87,4.620,278.3,8.3,0.87,4.740,277.9 -8.4,0.87,4.310,256.9,8.3,0.87,4.540,258.3 -8.4,0.87,5.890,261.8,8.3,0.87,6.080,262.4 -8.7,0.87,6.830,251.2,8.7,0.87,7.110,253.6 -9.5,0.87,8.780,251.3,9.6,0.87,8.810,252.2 -8.8,0.87,10.160,259.3,9.2,0.87,9.410,260.2 -8.9,0.87,10.010,271.1,9.7,0.87,9.570,278.7 -10.2,0.87,7.820,283.6,10.6,0.87,7.540,288.9 -9.8,0.87,7.290,291.9,10.0,0.87,6.900,295.9 -8.2,0.87,6.340,297.2,8.8,0.87,6.100,295.6 -6.0,0.87,5.870,308.1,6.8,0.87,5.960,307.0 -5.0,0.87,9.090,303.0,5.8,0.87,9.320,303.7 -7.2,0.87,8.460,308.3,7.8,0.87,8.200,310.9 -7.0,0.87,7.580,315.2,7.5,0.87,7.190,318.4 -6.5,0.87,6.910,318.5,7.0,0.87,7.030,320.1 -4.7,0.87,5.500,332.3,5.2,0.87,6.010,329.1 -3.4,0.87,5.330,341.0,4.2,0.87,5.980,340.6 -3.5,0.87,6.160,328.4,4.4,0.87,6.710,330.8 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-7.8,0.86,13.210,220.7,8.0,0.86,14.550,223.8 -7.2,0.86,13.400,228.2,7.5,0.86,14.660,231.3 -8.0,0.86,14.160,236.7,8.1,0.86,15.110,238.7 -7.7,0.86,13.220,253.8,8.0,0.86,14.570,256.9 -7.2,0.86,10.770,295.5,7.5,0.86,11.750,297.3 -8.0,0.86,11.430,323.0,8.1,0.86,11.970,325.4 -7.6,0.86,9.850,343.5,7.5,0.86,10.040,344.8 -8.2,0.87,12.730,5.7,8.0,0.87,12.940,5.8 -8.7,0.87,11.840,358.4,8.5,0.87,11.990,358.4 -8.4,0.87,11.940,5.9,8.2,0.87,12.120,5.8 -8.2,0.87,12.230,5.9,8.0,0.87,12.410,5.9 -8.2,0.87,11.990,7.7,8.0,0.87,12.180,7.5 -8.0,0.87,12.080,7.9,7.7,0.87,12.290,7.8 -7.5,0.87,11.780,9.6,7.3,0.87,12.040,9.6 -6.7,0.87,11.200,6.9,6.5,0.87,11.920,7.2 -5.8,0.87,10.740,7.4,5.7,0.87,11.560,8.5 -4.8,0.87,11.300,9.7,4.7,0.87,12.090,11.3 -3.5,0.87,10.520,12.2,3.5,0.87,11.420,14.2 -2.3,0.88,9.150,17.4,2.2,0.88,10.180,19.8 -1.2,0.88,10.790,23.9,1.2,0.88,12.130,26.8 -0.5,0.88,10.490,26.9,0.5,0.88,11.880,29.4 --0.3,0.88,9.260,14.6,-0.4,0.88,10.050,17.7 --1.3,0.88,8.900,17.5,-1.3,0.88,10.430,23.1 --1.9,0.88,7.650,15.4,-2.0,0.88,8.610,20.0 --2.4,0.88,6.240,24.9,-2.5,0.88,7.300,29.5 --2.7,0.88,4.040,7.8,-2.8,0.88,4.390,14.6 --2.8,0.88,4.480,21.6,-2.9,0.88,5.020,26.8 --3.1,0.88,3.170,21.7,-3.2,0.88,3.360,26.4 --3.1,0.88,0.480,310.1,-3.2,0.88,0.550,334.3 --2.7,0.88,1.690,230.8,-2.8,0.88,1.550,230.1 --1.5,0.88,2.960,224.5,-1.7,0.88,2.960,224.1 -0.3,0.88,4.140,226.9,0.1,0.88,4.180,226.8 -1.9,0.88,4.430,230.5,1.7,0.88,4.490,230.6 -3.4,0.88,4.610,233.0,3.2,0.88,4.670,233.3 -4.4,0.88,5.380,233.5,4.2,0.88,5.450,233.9 -5.3,0.88,5.620,238.4,5.1,0.88,5.700,238.7 -5.9,0.88,6.160,234.5,5.7,0.88,6.260,234.8 -6.1,0.88,5.770,231.5,5.9,0.88,5.930,231.9 -6.1,0.88,6.820,222.1,5.9,0.88,7.100,223.5 -5.9,0.88,9.210,230.2,5.7,0.88,9.530,231.0 -5.1,0.88,9.620,221.1,5.1,0.88,9.870,222.1 -4.9,0.88,10.670,214.7,5.0,0.88,11.130,216.0 -4.2,0.88,12.210,218.8,4.6,0.88,12.910,220.3 -3.5,0.88,12.820,224.2,4.1,0.88,13.720,224.3 -2.8,0.88,13.420,226.7,3.6,0.88,14.280,228.2 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-12.8,0.86,14.840,220.6,13.1,0.86,16.190,222.0 -11.4,0.86,15.430,223.9,11.6,0.86,16.700,225.1 -10.8,0.86,16.750,230.4,11.1,0.86,18.080,231.6 -10.7,0.86,16.620,237.8,11.1,0.86,17.900,239.3 -9.6,0.86,14.140,234.8,10.2,0.86,15.430,237.8 -9.4,0.86,13.570,238.6,9.8,0.86,14.790,241.9 -9.2,0.86,11.590,244.6,9.7,0.86,12.850,249.7 -10.0,0.86,16.680,261.0,10.7,0.86,18.340,264.2 -9.5,0.86,14.610,265.2,10.1,0.86,16.170,268.4 -8.5,0.87,11.760,273.7,9.1,0.87,13.340,276.5 -7.8,0.87,8.650,290.8,8.2,0.87,10.520,291.0 -6.8,0.87,11.990,299.3,7.3,0.87,13.300,299.6 -6.6,0.87,11.270,329.4,6.8,0.87,11.920,339.4 -5.5,0.87,9.180,351.8,5.4,0.87,9.660,355.9 -5.7,0.87,6.590,355.0,5.5,0.87,6.730,356.2 -7.3,0.87,6.650,3.6,7.1,0.87,6.780,4.3 -8.7,0.87,6.500,9.9,8.5,0.87,6.590,10.1 -9.9,0.87,6.880,15.4,9.6,0.87,6.960,15.4 -10.8,0.87,6.080,21.6,10.6,0.87,6.140,21.6 -11.4,0.87,5.120,25.2,11.2,0.87,5.160,25.3 -11.7,0.87,4.450,33.2,11.4,0.87,4.490,33.3 -11.6,0.87,3.360,40.8,11.4,0.87,3.380,41.3 -11.4,0.87,2.850,49.4,11.2,0.87,3.050,52.3 -11.0,0.87,4.490,72.0,10.9,0.87,4.640,72.5 -10.5,0.87,5.440,88.0,10.5,0.87,5.530,86.5 -10.6,0.87,6.060,85.7,10.5,0.87,5.890,85.0 -10.1,0.87,6.870,96.4,10.1,0.87,6.740,96.5 -9.4,0.87,7.500,107.5,9.5,0.87,7.670,107.8 -8.7,0.87,7.390,118.6,8.9,0.87,7.660,117.9 -8.1,0.87,7.590,128.2,8.4,0.87,7.960,127.2 -7.6,0.87,7.840,145.7,7.7,0.87,8.000,145.8 -7.3,0.87,7.520,169.6,7.6,0.87,7.770,166.6 -6.9,0.87,8.730,178.1,7.4,0.87,9.000,174.7 -7.1,0.87,9.630,189.4,7.7,0.87,9.860,187.1 -7.0,0.87,9.980,206.7,7.5,0.87,10.090,204.1 -5.4,0.87,8.650,231.9,6.2,0.87,9.340,231.8 -5.0,0.87,9.230,292.3,5.0,0.87,9.500,295.5 -3.3,0.87,6.820,303.4,3.4,0.87,7.520,304.5 -4.8,0.87,5.680,307.9,4.7,0.87,5.980,308.3 -6.3,0.87,5.660,317.9,6.1,0.87,5.720,317.6 -8.2,0.87,6.300,325.5,8.0,0.87,6.350,325.6 -10.0,0.87,5.920,340.6,9.8,0.87,5.970,340.6 -10.8,0.87,5.660,345.2,10.6,0.87,5.710,345.2 -11.9,0.87,4.800,353.2,11.7,0.87,4.860,352.9 -12.5,0.87,4.080,8.1,12.3,0.87,4.120,7.8 -12.6,0.87,2.980,22.5,12.3,0.87,3.040,21.9 -11.4,0.87,3.290,73.1,11.3,0.87,3.060,69.9 -11.2,0.87,3.080,79.0,11.1,0.87,2.920,75.6 -11.1,0.87,3.710,98.9,11.0,0.87,3.710,94.7 -10.8,0.87,5.350,123.5,10.8,0.87,5.150,124.3 -9.9,0.87,6.880,138.5,10.0,0.87,6.790,139.7 -9.2,0.87,7.520,154.3,9.3,0.87,7.730,153.7 -8.5,0.87,8.700,147.4,8.7,0.87,9.070,146.9 -8.0,0.87,9.880,145.2,8.2,0.87,10.390,144.8 -7.6,0.87,10.810,144.6,7.9,0.87,11.350,144.3 -7.1,0.87,10.450,146.4,7.4,0.87,10.980,146.2 -6.1,0.87,10.190,146.4,6.4,0.87,10.900,146.3 -5.6,0.87,10.830,149.3,6.2,0.87,11.670,149.1 -5.3,0.87,11.230,151.8,5.9,0.87,12.140,151.0 -5.4,0.87,11.760,150.3,5.9,0.87,12.600,149.8 -5.2,0.87,11.770,148.1,5.7,0.87,12.610,147.8 -4.0,0.87,10.540,144.5,4.2,0.87,11.360,144.4 -5.5,0.87,10.340,147.1,5.4,0.87,10.890,147.1 -7.1,0.87,11.880,145.2,6.9,0.87,12.100,145.2 -8.0,0.87,12.190,139.2,7.7,0.87,12.380,139.3 -8.8,0.87,12.410,138.3,8.6,0.87,12.640,138.4 -8.4,0.87,11.430,135.5,8.2,0.87,11.640,135.8 -8.7,0.86,12.610,147.1,8.4,0.86,12.840,147.4 -8.2,0.86,11.970,149.8,8.0,0.86,12.170,150.2 -8.2,0.86,9.730,144.3,8.0,0.86,10.000,144.6 -8.5,0.86,10.020,147.1,8.3,0.86,10.570,147.5 -8.8,0.86,10.730,143.6,8.7,0.86,11.200,144.2 -8.3,0.86,11.090,145.5,8.2,0.86,11.530,146.1 -7.8,0.86,15.280,138.6,7.8,0.86,15.940,139.6 -8.3,0.86,13.240,152.8,8.3,0.86,13.740,153.4 -9.7,0.86,5.240,177.0,9.7,0.86,5.580,177.5 -10.9,0.86,11.090,179.0,11.0,0.86,12.140,180.9 -10.4,0.86,7.950,188.7,10.5,0.86,8.690,191.1 -10.0,0.86,6.250,206.5,10.1,0.86,7.230,209.8 -8.3,0.86,1.910,266.4,8.4,0.86,2.600,254.7 -7.9,0.86,1.450,260.3,7.8,0.86,1.900,255.7 -6.5,0.86,1.770,307.0,6.2,0.86,2.450,299.2 -4.8,0.86,3.150,303.5,4.6,0.86,2.960,302.6 -5.4,0.86,3.710,4.0,5.2,0.86,3.950,3.9 -6.1,0.86,5.630,7.3,6.0,0.86,6.090,8.1 -5.9,0.87,6.850,4.6,5.8,0.87,7.210,5.4 -5.6,0.87,7.680,2.0,5.5,0.87,7.820,2.6 -5.4,0.87,6.330,11.2,5.2,0.87,6.430,11.2 -5.4,0.87,6.690,16.4,5.2,0.87,6.770,16.2 -4.5,0.87,10.040,339.9,4.3,0.87,10.100,339.9 -3.8,0.87,9.130,333.8,3.6,0.87,9.250,334.3 -4.1,0.87,5.900,357.9,3.9,0.87,6.020,357.3 -4.6,0.87,4.460,3.9,4.4,0.87,4.520,3.2 -4.9,0.87,2.260,25.6,4.7,0.87,2.240,23.4 -4.5,0.87,2.890,29.5,4.4,0.87,3.250,26.4 -5.5,0.87,7.880,343.3,5.4,0.87,8.410,343.8 -5.1,0.87,11.990,335.4,5.0,0.87,12.740,337.1 -3.3,0.87,10.550,336.0,3.2,0.87,11.350,336.8 -2.4,0.87,10.090,333.0,2.3,0.87,10.710,333.7 -1.4,0.87,11.010,325.9,1.4,0.87,11.770,327.9 -0.9,0.87,10.890,319.1,0.9,0.87,11.570,322.3 -0.4,0.87,10.440,317.2,0.3,0.87,11.070,319.9 --0.1,0.87,10.870,324.0,-0.1,0.87,11.550,327.1 --0.4,0.87,11.160,325.6,-0.5,0.87,11.810,328.6 --0.8,0.87,11.050,328.1,-0.8,0.87,11.700,331.5 --1.0,0.87,10.930,332.4,-1.0,0.87,11.700,336.0 --1.2,0.87,11.680,337.8,-1.2,0.87,12.480,341.1 --1.4,0.87,11.770,340.7,-1.4,0.87,12.530,343.6 --1.5,0.88,11.850,344.8,-1.6,0.88,12.610,347.4 --1.4,0.88,11.810,349.9,-1.6,0.88,12.160,350.5 --0.6,0.88,11.960,357.8,-0.8,0.88,12.180,357.9 -0.5,0.88,13.060,359.5,0.3,0.88,13.250,359.5 -1.3,0.88,12.750,1.3,1.1,0.88,12.930,1.3 -2.2,0.88,12.610,2.5,1.9,0.88,12.800,2.5 -3.0,0.88,11.930,3.3,2.8,0.88,12.110,3.2 -3.6,0.88,11.710,4.6,3.3,0.88,11.890,4.6 -3.7,0.88,11.840,4.9,3.5,0.88,12.030,4.9 -3.5,0.88,11.350,8.0,3.3,0.88,11.560,8.0 -3.0,0.88,9.660,15.2,2.9,0.88,10.390,15.1 -2.4,0.88,8.990,15.9,2.3,0.88,9.970,16.3 -1.9,0.88,9.110,14.9,1.8,0.88,9.820,16.2 -1.1,0.88,8.610,8.7,1.1,0.88,9.610,12.2 -0.5,0.88,8.490,7.2,0.4,0.88,9.250,10.1 --0.3,0.88,9.130,3.0,-0.4,0.88,9.980,7.8 --1.1,0.88,7.680,4.0,-1.2,0.88,8.250,8.5 --1.7,0.88,8.270,5.2,-1.8,0.88,9.090,9.5 --2.2,0.88,7.270,358.1,-2.3,0.88,7.960,3.5 --2.6,0.88,6.390,355.2,-2.6,0.88,6.880,0.7 --2.9,0.88,5.550,351.5,-2.9,0.88,5.930,357.5 --3.0,0.88,5.440,346.3,-3.0,0.88,5.770,353.4 --3.1,0.88,5.810,345.0,-3.1,0.88,6.080,352.6 --3.3,0.88,5.850,344.1,-3.3,0.88,6.110,351.7 --3.5,0.88,5.730,342.8,-3.4,0.88,6.010,351.0 --3.1,0.88,4.670,346.3,-3.2,0.88,4.820,349.6 --1.8,0.88,4.960,0.4,-2.0,0.88,5.010,0.8 --0.8,0.88,4.800,4.5,-1.0,0.88,4.840,4.9 -0.4,0.88,4.650,12.1,0.2,0.88,4.690,12.2 -1.3,0.88,4.320,16.4,1.1,0.88,4.360,16.4 -2.0,0.88,3.800,24.2,1.8,0.88,3.820,24.1 -2.5,0.88,3.320,32.0,2.3,0.88,3.330,31.9 -2.8,0.88,2.700,35.6,2.6,0.88,2.720,35.8 -2.9,0.88,2.270,52.3,2.7,0.88,2.270,52.2 -2.7,0.88,2.410,68.9,2.5,0.88,2.340,67.1 -2.6,0.88,2.080,79.1,2.4,0.88,1.990,81.6 -2.3,0.88,2.190,117.5,2.1,0.88,2.220,114.9 -1.9,0.88,3.570,115.2,1.8,0.88,3.200,117.8 -1.9,0.88,3.030,132.8,1.9,0.88,2.770,135.4 -2.0,0.88,2.890,141.8,2.0,0.88,2.630,145.7 -1.7,0.88,3.660,154.2,1.8,0.88,3.420,156.8 -1.1,0.88,4.650,162.8,1.3,0.88,4.410,162.3 -1.2,0.88,5.100,174.6,1.4,0.88,4.910,173.5 -0.8,0.88,5.970,178.1,1.1,0.88,5.980,176.8 -0.5,0.87,6.950,184.5,0.7,0.87,6.970,182.7 -0.3,0.87,7.350,191.4,0.6,0.87,7.410,188.8 -0.0,0.87,7.870,197.4,0.3,0.87,7.860,194.4 --0.4,0.87,8.420,201.9,-0.0,0.87,8.540,198.6 --0.5,0.87,8.330,207.6,-0.1,0.87,8.380,204.0 --0.2,0.87,7.660,205.1,0.1,0.87,8.320,205.0 -1.6,0.87,7.590,200.4,1.5,0.87,7.670,200.5 -2.9,0.87,6.470,200.2,2.7,0.87,6.540,200.2 -4.4,0.87,5.670,196.8,4.2,0.87,5.770,196.8 -5.5,0.87,6.160,196.3,5.2,0.87,6.260,196.3 -6.3,0.87,6.370,193.3,6.1,0.87,6.490,193.5 -6.8,0.87,6.830,195.3,6.6,0.87,6.950,195.5 -7.4,0.87,6.790,196.4,7.2,0.87,6.920,196.4 -7.5,0.87,6.620,191.1,7.3,0.87,6.800,191.3 -7.0,0.87,7.090,187.6,6.9,0.87,7.590,188.1 -6.8,0.87,9.290,189.5,6.7,0.87,9.600,189.6 -6.4,0.87,9.800,183.0,6.5,0.87,10.140,184.4 -5.4,0.87,8.990,173.5,5.4,0.87,9.440,177.0 -4.2,0.87,10.390,177.0,4.4,0.87,11.460,179.5 -3.4,0.87,10.490,181.7,3.6,0.87,11.570,183.9 -3.1,0.87,11.790,183.1,3.3,0.87,12.760,184.5 -2.9,0.87,11.120,186.6,3.2,0.87,11.740,188.4 -2.8,0.87,9.110,197.5,3.2,0.87,9.660,200.0 -0.8,0.87,3.250,272.6,0.9,0.87,3.820,266.3 -2.5,0.87,4.460,322.9,2.5,0.87,4.640,326.5 -0.4,0.87,9.030,20.1,0.4,0.87,10.000,21.3 --0.6,0.87,6.730,332.9,-0.6,0.87,7.080,334.6 --1.2,0.87,9.770,347.6,-1.4,0.87,10.240,348.2 --1.5,0.87,8.120,344.9,-1.7,0.87,8.680,345.9 --1.3,0.87,8.880,351.6,-1.5,0.87,9.070,352.1 --1.1,0.87,9.830,357.9,-1.3,0.87,9.960,357.8 --0.6,0.88,10.640,357.4,-0.8,0.88,10.780,357.4 --0.1,0.88,11.470,4.4,-0.3,0.88,11.620,4.4 -0.7,0.88,10.750,5.4,0.5,0.88,10.900,5.4 -1.4,0.88,10.010,10.3,1.1,0.88,10.160,10.1 -1.6,0.88,9.780,14.5,1.4,0.88,9.930,14.3 -1.7,0.88,9.610,16.4,1.4,0.88,9.770,16.1 -1.4,0.88,9.170,21.9,1.2,0.88,9.330,21.6 -0.7,0.88,8.970,27.3,0.5,0.88,9.470,27.2 --0.1,0.88,7.900,36.0,-0.2,0.88,8.410,36.1 --0.8,0.88,7.480,43.6,-1.0,0.88,8.110,43.8 --1.7,0.88,7.300,47.4,-1.9,0.88,8.240,48.6 --2.6,0.88,5.910,52.8,-2.6,0.88,6.870,51.9 --3.1,0.88,4.130,44.3,-3.3,0.88,5.400,48.1 --3.7,0.88,6.060,49.0,-3.8,0.88,6.830,48.3 --4.1,0.88,4.550,47.6,-4.3,0.88,5.180,49.4 --4.5,0.88,4.090,40.6,-4.7,0.88,4.580,44.0 --4.8,0.88,3.750,38.4,-5.0,0.88,4.070,42.9 --5.2,0.88,2.460,39.7,-5.4,0.88,2.630,44.1 --5.6,0.88,1.190,44.5,-5.8,0.88,1.320,45.7 --5.9,0.88,0.790,94.8,-6.0,0.88,0.820,91.9 --5.9,0.88,1.170,172.1,-6.0,0.88,1.210,169.0 --5.6,0.88,2.300,180.7,-5.6,0.88,2.150,179.3 --5.1,0.88,2.890,192.8,-5.2,0.88,3.000,193.3 --3.3,0.88,3.360,193.0,-3.5,0.88,3.390,193.2 --1.0,0.88,4.190,192.8,-1.2,0.88,4.240,193.3 -1.0,0.88,5.600,198.8,0.8,0.88,5.670,199.0 -2.9,0.88,6.490,204.7,2.7,0.88,6.590,204.8 -4.3,0.88,7.210,201.3,4.1,0.88,7.330,201.5 -5.3,0.87,7.750,201.5,5.1,0.87,7.890,201.8 -6.2,0.87,7.830,200.9,6.0,0.87,7.980,201.3 -6.3,0.87,7.830,192.5,6.1,0.87,8.160,193.4 -6.2,0.87,9.860,187.1,6.1,0.87,10.180,189.0 -5.6,0.87,10.210,183.3,5.8,0.87,10.950,187.5 -5.0,0.87,11.140,182.6,5.3,0.87,11.770,186.3 -4.6,0.87,11.880,188.9,5.0,0.87,12.610,193.1 -4.1,0.87,12.680,192.9,4.4,0.87,13.450,196.3 -3.4,0.87,12.570,195.6,3.8,0.87,13.400,200.0 -3.3,0.87,12.570,200.6,3.6,0.87,13.440,204.9 -3.5,0.87,12.630,203.3,3.7,0.87,13.490,207.4 -3.5,0.87,11.780,199.1,3.6,0.87,12.590,203.6 -3.5,0.87,10.860,205.4,3.6,0.87,11.860,210.8 -3.4,0.87,10.260,206.6,3.5,0.87,11.130,212.1 -3.5,0.87,10.290,212.9,3.7,0.87,11.200,217.6 -4.0,0.87,9.640,221.2,4.2,0.87,10.450,226.1 -4.2,0.87,8.690,220.2,4.4,0.87,9.290,225.5 -3.0,0.87,4.080,300.7,2.9,0.87,4.140,298.9 -1.3,0.87,5.620,318.2,1.1,0.87,5.550,319.1 -0.3,0.87,6.300,339.6,0.1,0.87,6.270,339.7 --0.1,0.87,5.110,350.2,-0.3,0.87,5.100,350.2 --0.1,0.87,3.600,353.8,-0.3,0.87,3.610,353.5 -0.8,0.87,3.180,8.6,0.6,0.87,3.220,8.5 -2.3,0.87,2.790,11.7,2.1,0.87,2.840,11.7 -3.2,0.87,3.930,19.0,3.0,0.87,3.960,18.9 -3.5,0.87,5.730,18.4,3.2,0.87,5.780,18.3 -3.4,0.87,6.790,21.2,3.2,0.87,6.850,21.0 -1.7,0.87,7.800,16.6,1.5,0.87,8.010,16.5 -1.0,0.87,6.040,19.9,0.8,0.87,6.120,20.0 -0.8,0.87,4.510,22.0,0.6,0.87,4.630,21.9 -0.7,0.87,3.890,357.9,0.5,0.87,4.190,0.8 -0.7,0.87,3.700,340.6,0.6,0.87,3.920,348.5 -1.0,0.87,4.670,348.5,1.0,0.87,4.830,352.6 -1.3,0.87,5.030,335.7,1.4,0.87,5.210,341.1 -1.5,0.87,6.290,318.1,1.6,0.87,6.500,323.8 -1.8,0.87,8.620,315.8,1.9,0.87,8.860,322.1 -1.7,0.87,9.420,315.5,2.0,0.87,9.690,321.0 -1.8,0.87,8.990,317.2,2.0,0.87,8.970,324.2 -1.1,0.87,9.350,322.4,1.4,0.87,9.520,328.8 -1.7,0.87,8.270,347.1,1.5,0.87,8.570,353.4 -0.9,0.87,7.870,0.1,0.7,0.87,7.700,7.7 -0.2,0.87,6.470,354.0,0.1,0.87,6.370,3.0 --0.0,0.87,4.840,359.4,-0.2,0.87,4.980,1.2 -0.8,0.87,3.820,349.9,0.6,0.87,3.870,350.2 -1.7,0.87,4.170,3.9,1.5,0.87,4.200,4.0 -2.9,0.87,3.070,355.4,2.6,0.87,3.090,355.4 -3.9,0.87,2.340,5.5,3.7,0.87,2.340,6.0 -4.9,0.87,0.880,8.3,4.7,0.87,0.870,11.2 -5.8,0.87,0.420,335.6,5.6,0.87,0.340,335.6 -6.5,0.87,0.890,101.7,6.3,0.87,0.900,107.3 -6.8,0.87,3.200,143.8,6.6,0.87,3.200,144.6 -6.6,0.87,5.190,126.4,6.4,0.87,5.270,128.0 -6.0,0.87,7.570,130.2,6.0,0.87,7.850,131.1 -4.1,0.87,10.270,130.6,4.0,0.87,10.960,130.8 -2.2,0.87,10.640,130.2,2.1,0.87,11.400,129.9 -1.0,0.87,9.900,129.6,0.8,0.87,10.570,129.5 --0.7,0.87,8.150,121.1,-0.8,0.87,8.770,121.0 --1.9,0.87,7.630,116.4,-2.1,0.87,8.270,116.3 --2.7,0.88,6.930,114.3,-2.9,0.88,7.530,114.4 --3.4,0.88,7.430,109.7,-3.6,0.88,7.960,110.2 --4.3,0.88,7.690,109.2,-4.5,0.88,8.030,109.3 --4.8,0.88,5.480,102.5,-5.0,0.88,5.680,102.3 --5.3,0.88,5.920,98.2,-5.5,0.88,6.070,98.2 --5.8,0.88,5.940,96.4,-6.0,0.88,6.030,96.4 --6.6,0.88,6.300,71.9,-6.8,0.88,6.370,72.5 --7.0,0.88,6.620,68.1,-7.2,0.88,6.660,68.6 --7.3,0.88,6.110,74.9,-7.5,0.88,6.140,75.2 --7.0,0.88,5.700,70.6,-7.3,0.88,5.710,70.9 --6.3,0.88,5.080,70.9,-6.5,0.88,5.100,71.2 --5.3,0.88,4.530,75.5,-5.5,0.88,4.550,75.8 --4.4,0.88,4.190,86.0,-4.6,0.88,4.210,86.5 --3.5,0.88,4.150,95.2,-3.7,0.88,4.190,95.5 --2.9,0.88,4.640,109.6,-3.1,0.88,4.670,109.7 --2.7,0.88,5.420,112.1,-2.9,0.88,5.470,112.2 --2.8,0.88,5.530,113.4,-3.0,0.88,5.590,113.6 --3.3,0.88,6.670,110.3,-3.5,0.88,6.840,110.4 --4.0,0.88,6.290,129.3,-4.2,0.88,6.540,129.6 --4.7,0.88,7.130,130.1,-4.9,0.88,7.300,130.6 --5.4,0.88,7.570,141.8,-5.6,0.88,7.730,141.8 --5.9,0.88,7.850,145.7,-6.2,0.88,8.010,145.7 --6.4,0.88,7.780,152.0,-6.6,0.88,7.910,151.9 --6.8,0.88,7.990,154.9,-7.0,0.88,8.140,155.1 --6.9,0.88,8.360,161.7,-7.1,0.88,8.510,161.8 --7.1,0.88,8.300,162.1,-7.3,0.88,8.430,162.3 --7.1,0.88,8.450,166.4,-7.4,0.88,8.610,166.8 --7.2,0.88,8.560,168.8,-7.4,0.88,8.770,169.1 --7.3,0.88,8.940,174.7,-7.5,0.88,9.170,175.0 --7.4,0.88,9.400,177.8,-7.6,0.88,9.660,178.3 --7.4,0.88,10.070,181.9,-7.6,0.88,10.390,182.2 --7.4,0.87,10.220,183.2,-7.6,0.87,10.470,183.5 --6.9,0.87,9.870,184.5,-7.1,0.87,9.980,184.7 --5.6,0.87,9.360,188.0,-5.9,0.87,9.490,188.2 --4.2,0.87,9.630,190.8,-4.5,0.87,9.790,190.9 --3.1,0.87,10.110,203.9,-3.4,0.87,10.290,203.9 --5.5,0.87,9.740,193.9,-5.8,0.87,9.900,194.0 --5.4,0.87,9.330,193.0,-5.6,0.87,9.500,193.3 --5.2,0.87,8.490,188.6,-5.4,0.87,8.660,189.0 --5.1,0.87,10.040,191.4,-5.3,0.87,10.230,191.8 --4.9,0.87,10.140,186.2,-5.1,0.87,10.410,186.7 --5.0,0.87,10.300,183.6,-5.2,0.87,10.800,184.2 --5.0,0.87,13.200,187.8,-5.2,0.87,13.720,188.5 --5.5,0.87,14.930,188.7,-5.6,0.87,15.580,189.2 --5.4,0.87,15.400,192.3,-5.6,0.87,16.040,192.8 --5.2,0.86,13.190,197.7,-5.3,0.86,13.850,198.3 --5.2,0.86,14.790,199.3,-5.3,0.86,15.530,200.1 --5.1,0.86,14.200,201.1,-5.2,0.86,14.990,202.3 --5.1,0.86,15.150,200.5,-5.2,0.86,15.950,201.8 --4.6,0.86,15.660,205.7,-4.7,0.86,16.550,206.9 --4.1,0.86,16.340,210.1,-4.2,0.86,17.230,211.1 --3.5,0.86,16.500,214.7,-3.6,0.86,17.480,216.0 --2.9,0.86,15.040,223.2,-2.9,0.86,16.060,224.7 --2.3,0.86,14.340,226.4,-2.2,0.86,15.430,228.4 --1.4,0.86,15.420,228.7,-1.1,0.86,16.470,231.4 -1.0,0.86,15.610,236.8,1.4,0.86,16.800,239.7 -4.1,0.86,15.990,251.7,4.1,0.86,16.810,252.8 -6.5,0.86,13.490,257.5,6.4,0.86,14.340,258.2 -8.3,0.86,12.320,267.1,8.1,0.86,12.540,267.2 -9.6,0.86,11.480,282.1,9.4,0.86,11.660,282.1 -10.4,0.86,10.370,288.6,10.2,0.86,10.510,288.6 -11.0,0.86,8.200,289.3,10.8,0.86,8.340,289.2 -11.8,0.86,7.250,299.3,11.6,0.86,7.390,299.0 -11.8,0.86,5.540,319.4,11.7,0.86,5.790,318.0 -11.6,0.86,3.540,344.8,11.5,0.86,3.820,339.2 -10.2,0.86,2.250,57.3,10.2,0.86,2.350,48.2 -9.8,0.86,3.420,79.3,9.8,0.86,3.470,73.3 -9.1,0.86,4.260,111.0,9.2,0.86,3.800,110.0 -6.9,0.86,7.160,145.3,7.3,0.86,7.370,143.8 -7.4,0.86,8.050,162.2,7.8,0.86,8.300,165.8 -7.8,0.86,5.760,186.5,8.1,0.86,5.270,193.6 -6.8,0.86,4.320,198.6,7.4,0.86,4.070,211.2 -7.3,0.86,4.820,209.3,7.6,0.86,4.470,216.7 -6.9,0.86,2.620,225.8,6.7,0.86,2.670,227.9 -5.5,0.86,8.920,255.7,6.6,0.86,10.360,265.9 -7.3,0.86,8.540,285.4,7.6,0.86,9.580,287.6 -6.5,0.86,8.670,288.3,6.9,0.86,9.430,286.8 -5.4,0.86,3.530,271.6,5.7,0.86,4.230,274.8 -5.0,0.86,7.870,259.1,6.6,0.86,10.000,258.9 -5.1,0.86,6.470,249.5,6.5,0.86,7.960,252.2 -7.3,0.86,7.000,240.4,7.9,0.86,8.060,241.7 -9.8,0.86,7.450,235.9,9.8,0.86,8.130,236.5 -10.6,0.86,5.580,235.1,10.4,0.86,5.630,236.2 -12.3,0.86,5.880,238.3,12.1,0.86,5.970,238.8 -13.3,0.86,5.450,237.0,13.1,0.86,5.540,237.2 -14.6,0.86,7.150,231.4,14.4,0.86,7.320,231.4 -14.8,0.86,7.170,224.0,14.6,0.86,7.330,224.1 -14.8,0.86,6.650,201.0,14.6,0.86,6.790,201.5 -14.7,0.86,5.910,235.2,14.6,0.86,6.250,236.1 -14.1,0.86,8.480,244.5,14.0,0.86,9.030,246.5 -12.9,0.86,8.560,248.3,12.9,0.86,9.790,253.1 -11.8,0.86,8.900,246.8,12.0,0.86,9.910,252.8 -10.0,0.86,9.780,233.5,10.8,0.86,11.040,239.0 -11.0,0.86,11.030,229.9,11.4,0.86,11.670,231.2 -9.7,0.86,9.360,234.5,9.8,0.86,9.840,231.1 -10.2,0.86,12.360,229.9,10.6,0.86,12.980,233.0 -8.0,0.86,14.130,236.8,8.8,0.86,15.440,238.8 -8.1,0.86,13.540,230.3,8.5,0.86,14.830,233.2 -7.3,0.86,14.280,230.5,7.8,0.86,15.410,232.6 -6.7,0.86,14.720,237.4,7.1,0.86,15.690,238.7 -5.8,0.86,13.800,231.2,6.4,0.86,14.820,232.8 -4.7,0.86,13.060,231.7,5.0,0.86,14.390,233.0 -3.4,0.86,13.150,224.6,3.7,0.86,14.450,226.8 -1.9,0.86,11.700,220.6,2.2,0.86,13.020,224.6 -3.4,0.86,10.040,229.4,3.2,0.86,10.810,231.3 -4.6,0.86,10.780,247.3,4.4,0.86,11.010,247.6 -6.1,0.86,11.510,279.1,5.9,0.86,11.650,279.1 -6.2,0.86,10.570,302.7,6.0,0.86,10.660,302.6 -6.4,0.86,10.670,318.0,6.2,0.86,10.800,318.1 -7.0,0.86,10.980,335.4,6.8,0.86,11.120,335.4 -5.3,0.87,11.600,342.5,5.0,0.87,11.700,342.4 -4.9,0.87,8.640,341.0,4.7,0.87,8.760,341.1 -5.4,0.87,7.170,354.6,5.2,0.87,7.300,354.5 -5.2,0.87,8.800,15.4,5.0,0.87,9.160,15.0 -3.2,0.87,8.560,33.7,3.0,0.87,9.330,33.5 -2.1,0.87,7.240,43.0,2.0,0.87,8.370,43.3 -2.2,0.87,7.480,43.1,2.2,0.87,8.880,43.0 -1.7,0.87,7.820,40.6,1.8,0.87,9.190,40.7 -1.3,0.87,8.310,43.9,1.4,0.87,9.490,44.0 -0.8,0.87,7.070,44.1,0.8,0.87,8.050,44.2 --0.5,0.87,6.510,43.6,-0.5,0.87,7.150,43.3 --0.8,0.87,5.960,42.8,-0.8,0.87,6.800,45.6 --1.0,0.87,6.070,43.6,-0.9,0.87,7.010,45.5 --1.3,0.87,5.580,41.6,-1.2,0.87,6.440,43.4 --1.4,0.87,5.460,49.3,-1.4,0.87,6.290,51.4 --1.6,0.87,5.150,33.7,-1.6,0.87,5.820,38.1 --1.8,0.87,4.980,19.3,-1.9,0.87,5.140,22.0 --2.1,0.87,4.700,18.3,-2.1,0.87,4.650,19.7 --2.2,0.87,3.400,34.0,-2.2,0.87,3.600,36.6 --2.0,0.87,1.760,22.8,-2.1,0.87,2.180,31.5 --1.1,0.87,0.970,36.3,-1.2,0.87,1.010,42.2 -1.0,0.87,1.420,117.8,0.8,0.87,1.510,121.2 -3.5,0.87,3.180,141.7,3.3,0.87,3.200,142.8 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--0.2,0.87,10.580,17.2,-0.4,0.87,10.750,17.2 -0.6,0.87,10.430,16.0,0.4,0.87,10.590,15.9 -1.1,0.87,10.150,13.6,0.9,0.87,10.320,13.5 -1.1,0.87,10.800,10.6,0.8,0.87,10.980,10.7 -0.3,0.87,11.490,9.5,0.1,0.87,11.670,9.5 --1.1,0.87,12.450,5.9,-1.3,0.87,12.670,6.0 --2.4,0.87,11.520,359.7,-2.6,0.87,11.740,359.9 --4.2,0.87,10.080,355.2,-4.4,0.87,10.220,355.4 --4.2,0.87,11.390,353.9,-4.4,0.87,11.570,354.2 --4.1,0.87,11.920,2.0,-4.4,0.87,12.110,2.0 --3.2,0.87,12.090,350.3,-3.4,0.87,12.300,350.7 --3.3,0.87,11.960,3.0,-3.5,0.87,12.200,2.8 --4.0,0.87,10.640,8.2,-4.2,0.87,11.050,8.1 --5.4,0.87,12.810,4.3,-5.6,0.87,13.400,4.7 --6.3,0.87,7.760,351.9,-6.4,0.87,8.090,354.4 --6.9,0.87,7.790,343.7,-7.0,0.87,7.870,346.6 --7.1,0.87,7.140,350.0,-7.3,0.87,7.440,353.6 --7.3,0.87,6.360,345.0,-7.5,0.87,6.740,348.8 --7.3,0.87,6.620,331.6,-7.4,0.87,6.930,333.9 --7.2,0.87,5.730,319.9,-7.3,0.87,5.740,322.4 --7.0,0.87,6.260,312.8,-7.0,0.87,6.280,316.5 --6.9,0.87,4.510,300.8,-6.9,0.87,4.860,305.7 --5.5,0.87,3.830,297.9,-5.7,0.87,3.940,297.7 --3.8,0.87,4.670,294.8,-4.0,0.87,4.750,294.5 --2.0,0.87,5.040,292.7,-2.2,0.87,5.110,292.4 --0.5,0.87,5.000,284.8,-0.7,0.87,5.070,284.6 -0.6,0.87,4.630,273.2,0.4,0.87,4.690,272.8 -1.5,0.87,4.920,268.4,1.3,0.87,5.000,268.4 -2.1,0.87,4.640,269.3,1.9,0.87,4.730,269.4 -2.3,0.87,4.080,264.3,2.1,0.87,4.320,264.9 -2.1,0.87,4.200,263.8,2.1,0.87,4.430,265.9 -2.0,0.87,3.070,249.8,1.9,0.87,3.220,253.6 -1.7,0.87,2.890,231.8,1.6,0.87,2.880,237.3 -1.9,0.87,3.070,227.1,1.9,0.87,3.110,232.7 -1.8,0.87,2.900,217.6,1.9,0.87,2.540,223.7 -1.1,0.87,3.600,206.5,1.4,0.87,3.160,210.0 -0.1,0.87,4.810,184.9,0.6,0.87,4.310,187.5 -0.3,0.87,5.980,202.3,0.5,0.87,5.760,199.7 -1.2,0.87,4.790,193.0,1.5,0.87,4.710,193.6 -1.3,0.87,3.900,190.1,1.6,0.87,3.690,189.6 -1.2,0.87,3.040,197.5,1.5,0.87,2.630,193.8 --2.0,0.87,2.140,328.5,-1.5,0.87,1.870,330.5 -0.1,0.87,0.640,248.1,0.6,0.87,0.790,229.3 --1.5,0.87,2.080,6.0,-0.8,0.87,1.810,3.7 --3.9,0.87,5.610,337.3,-3.6,0.87,5.760,336.3 --3.2,0.87,5.040,322.2,-2.7,0.87,5.120,329.2 --2.5,0.87,2.800,324.4,-2.3,0.87,3.370,331.2 --0.6,0.87,2.210,332.0,-0.7,0.87,2.180,332.4 -1.2,0.87,1.800,347.1,1.0,0.87,1.770,347.8 -2.6,0.87,0.990,24.5,2.4,0.87,0.940,28.0 -3.6,0.87,0.880,44.9,3.3,0.87,0.840,51.0 -4.3,0.87,0.660,41.3,4.1,0.87,0.610,50.3 -4.8,0.87,1.220,189.6,4.5,0.87,1.310,189.1 -4.5,0.87,4.300,177.2,4.4,0.87,4.340,178.5 -4.3,0.87,6.390,183.6,4.0,0.87,6.290,185.1 -3.5,0.87,6.820,183.1,3.3,0.87,6.670,184.3 -2.6,0.87,7.110,185.2,2.6,0.87,7.090,186.9 -1.9,0.87,8.480,193.1,2.0,0.87,8.490,193.9 -1.7,0.87,9.080,200.8,1.9,0.87,9.110,200.4 -0.6,0.87,10.310,207.2,1.2,0.87,10.310,207.2 -1.0,0.87,9.930,210.0,1.7,0.87,9.910,209.9 -0.5,0.87,10.360,212.3,1.5,0.87,10.300,211.3 -0.1,0.87,11.190,209.3,1.1,0.87,11.440,208.8 --1.1,0.87,12.780,214.2,0.1,0.87,13.470,213.2 --0.6,0.87,13.660,212.0,0.5,0.87,14.600,213.0 -0.0,0.87,14.630,212.3,1.3,0.87,15.940,214.0 --0.5,0.87,15.130,207.7,0.1,0.87,16.550,211.2 --1.0,0.87,14.350,216.3,-0.3,0.87,15.950,219.0 -0.4,0.87,17.480,224.1,1.0,0.87,18.730,225.5 -1.5,0.87,16.800,226.7,1.7,0.87,17.730,227.7 -3.0,0.87,12.030,226.0,2.9,0.87,12.540,226.7 -5.0,0.87,9.780,228.1,4.8,0.87,9.980,228.5 -6.9,0.87,7.790,230.6,6.7,0.87,7.950,230.9 -8.8,0.87,8.430,230.8,8.6,0.87,8.560,231.1 -10.2,0.87,8.200,228.0,10.0,0.87,8.330,228.3 -11.1,0.87,8.540,225.8,10.9,0.87,8.670,226.0 -11.4,0.87,9.010,222.2,11.2,0.87,9.190,222.4 -11.0,0.87,9.530,217.9,10.9,0.87,10.220,220.1 -9.5,0.87,11.020,217.9,9.8,0.87,12.280,220.7 -9.1,0.87,14.380,219.7,9.4,0.87,15.290,221.2 -8.1,0.87,13.730,218.6,8.5,0.87,14.820,219.9 -7.2,0.87,14.780,224.0,7.8,0.87,16.150,225.0 -7.4,0.87,15.080,224.1,8.0,0.87,16.370,225.3 -7.3,0.87,14.840,225.7,7.9,0.87,15.950,227.7 -7.0,0.87,14.740,229.5,7.7,0.87,16.130,231.8 -7.6,0.87,15.570,239.6,8.6,0.87,17.140,241.0 -7.6,0.87,14.580,240.2,8.8,0.87,16.200,242.5 -7.8,0.87,14.050,241.7,9.0,0.87,15.670,244.3 -6.9,0.87,12.630,241.0,8.4,0.87,14.250,245.2 -6.5,0.87,12.660,243.1,8.6,0.87,14.100,248.7 -7.2,0.87,12.360,246.4,9.2,0.87,13.430,252.2 -7.2,0.87,11.700,244.1,9.1,0.87,12.070,248.5 -7.5,0.87,12.420,244.3,9.1,0.87,12.630,247.6 -6.6,0.87,10.990,245.0,8.5,0.87,12.010,247.9 -8.4,0.87,6.950,248.1,9.1,0.87,8.040,249.4 -10.4,0.87,5.450,236.6,10.4,0.87,6.420,240.2 -12.6,0.87,5.850,222.8,12.4,0.87,5.930,223.5 -13.8,0.87,6.740,220.3,13.6,0.87,6.800,220.8 -14.2,0.87,6.840,218.2,14.0,0.87,6.900,218.6 -14.6,0.87,6.380,211.3,14.4,0.87,6.470,211.6 -14.9,0.87,5.870,198.2,14.7,0.87,5.990,198.5 -14.6,0.87,7.870,195.5,14.4,0.87,8.020,196.9 -13.5,0.87,10.140,188.7,13.6,0.87,10.540,191.1 -12.3,0.87,11.460,196.9,12.5,0.87,11.810,198.9 -11.5,0.87,12.570,199.5,11.8,0.87,12.930,200.1 -9.8,0.87,12.490,200.0,10.1,0.87,13.220,201.0 -8.8,0.87,13.600,206.8,9.4,0.87,14.780,206.7 -9.1,0.87,13.730,209.3,9.9,0.87,14.860,208.8 -8.8,0.87,13.060,207.1,9.5,0.87,14.180,205.7 -7.5,0.87,13.420,206.5,8.0,0.87,14.490,207.5 -7.3,0.87,13.690,216.6,8.0,0.87,14.550,218.3 -6.3,0.87,12.460,215.6,6.8,0.87,13.240,217.8 -4.7,0.87,13.090,206.9,5.1,0.87,14.160,210.0 -1.7,0.87,11.150,203.7,1.7,0.87,11.800,204.5 -3.3,0.87,11.740,199.8,3.3,0.87,12.490,200.3 -4.4,0.86,9.670,192.9,4.3,0.86,10.070,192.9 -5.0,0.86,8.790,181.3,5.0,0.86,9.230,181.5 -5.8,0.86,11.510,178.1,5.7,0.86,12.070,178.6 -6.5,0.86,13.080,172.4,6.4,0.86,13.710,173.0 -7.0,0.86,11.800,174.3,6.9,0.86,12.340,174.5 -7.7,0.86,11.130,170.7,7.6,0.86,11.700,170.9 -8.5,0.86,11.210,176.3,8.4,0.86,11.700,176.7 -9.6,0.86,9.290,192.9,9.4,0.86,9.740,194.1 -9.7,0.86,11.190,186.5,9.6,0.86,11.830,188.4 -11.2,0.86,9.250,182.6,11.1,0.86,9.770,183.5 -10.9,0.86,9.140,269.1,10.8,0.86,9.530,266.8 -10.8,0.86,15.230,232.3,10.7,0.86,16.050,232.9 -9.3,0.86,12.670,240.7,9.4,0.86,13.760,241.4 -8.1,0.86,15.390,234.1,8.2,0.86,16.730,235.4 -7.7,0.86,13.110,238.0,7.7,0.86,14.340,238.9 -6.9,0.86,15.310,237.8,7.0,0.86,16.500,239.0 -6.3,0.86,16.800,237.1,6.4,0.86,18.060,238.9 -6.0,0.86,17.440,248.2,6.0,0.86,18.690,249.1 -5.6,0.86,17.490,249.9,5.6,0.86,18.690,251.0 -5.2,0.86,18.380,253.0,5.3,0.86,19.690,254.3 -5.0,0.86,17.050,256.5,5.1,0.86,18.480,257.7 -5.0,0.86,17.120,261.3,5.1,0.86,18.610,262.3 -4.5,0.86,14.670,256.7,4.7,0.86,16.360,258.9 -4.0,0.86,13.640,252.9,4.3,0.86,15.350,255.7 -4.7,0.86,16.600,258.4,5.0,0.86,17.990,260.5 -4.0,0.86,14.960,255.7,4.4,0.86,16.600,258.3 -4.2,0.86,12.430,257.4,4.3,0.86,13.590,258.5 -6.0,0.86,11.400,254.1,5.8,0.86,12.330,255.3 -8.1,0.86,11.690,258.1,7.9,0.86,11.940,258.2 -9.7,0.86,14.210,250.5,9.5,0.86,14.490,250.7 -10.2,0.86,13.900,247.6,10.0,0.86,14.200,247.7 -10.9,0.86,14.410,244.4,10.6,0.86,14.730,244.5 -11.4,0.86,14.820,247.1,11.2,0.86,15.160,247.2 -11.4,0.86,14.770,247.8,11.2,0.86,15.130,247.9 -11.0,0.86,13.060,244.3,10.9,0.86,13.790,244.8 -10.1,0.86,12.910,241.2,10.1,0.86,13.750,242.9 -9.1,0.86,15.160,243.5,9.2,0.86,16.240,244.3 -8.5,0.86,15.030,245.4,8.7,0.86,16.140,246.2 -8.0,0.86,15.540,247.7,8.1,0.86,16.710,248.7 -7.2,0.86,14.370,245.5,7.4,0.86,15.580,246.9 -6.3,0.86,10.330,246.1,6.5,0.86,11.820,249.3 -6.4,0.86,13.480,253.6,6.6,0.86,14.820,255.4 -6.3,0.86,14.180,254.4,6.4,0.86,15.540,256.1 -6.3,0.86,13.550,258.5,6.4,0.86,15.000,259.4 -6.5,0.86,12.850,250.5,6.6,0.86,14.290,251.7 -6.0,0.86,13.490,253.7,6.1,0.86,14.850,254.8 -5.4,0.86,16.020,259.0,5.5,0.86,17.430,260.7 -5.1,0.86,15.640,255.4,5.2,0.86,16.920,256.6 -4.6,0.86,14.560,260.1,4.7,0.86,15.710,260.6 -4.3,0.86,14.890,258.9,4.4,0.86,16.270,260.1 -4.7,0.86,16.700,264.6,4.7,0.86,17.540,265.2 -5.8,0.86,13.800,264.0,5.6,0.86,14.230,264.4 -7.1,0.86,12.290,268.3,6.9,0.86,12.480,268.5 -8.5,0.86,11.310,277.9,8.2,0.86,11.530,278.0 -9.3,0.86,10.910,280.6,9.1,0.86,11.090,280.7 -9.8,0.86,10.270,282.1,9.6,0.86,10.450,282.2 -10.1,0.86,9.930,283.9,9.9,0.86,10.120,283.9 -10.1,0.86,9.950,281.4,9.9,0.86,10.150,281.3 -9.9,0.86,7.690,284.9,9.8,0.86,8.180,284.9 -9.3,0.86,8.850,262.7,9.2,0.86,9.260,264.2 -7.5,0.86,12.400,261.6,7.6,0.86,13.940,265.4 -6.5,0.86,13.030,265.6,6.7,0.86,14.450,268.1 -6.0,0.86,13.980,276.6,6.2,0.86,15.230,279.1 -6.3,0.86,13.120,284.1,6.4,0.86,14.090,286.3 -4.1,0.86,8.040,313.1,4.2,0.86,8.730,308.4 -3.2,0.86,5.960,344.5,3.1,0.86,5.610,350.5 -2.8,0.86,9.380,316.2,2.9,0.86,9.620,316.2 -2.8,0.86,9.320,297.4,2.9,0.86,9.030,302.8 -3.8,0.86,8.340,297.0,3.9,0.86,8.270,301.8 -4.0,0.86,8.240,292.7,4.3,0.86,7.820,297.5 -3.8,0.86,9.980,285.3,4.2,0.86,10.180,292.2 -3.8,0.86,9.970,283.2,4.2,0.86,9.680,292.2 -3.6,0.86,9.240,291.7,3.9,0.86,9.010,298.2 -4.1,0.86,9.180,286.3,4.4,0.86,8.240,292.0 -3.5,0.86,8.960,282.4,4.0,0.86,9.020,286.8 -4.2,0.86,5.890,278.7,4.2,0.86,6.790,281.1 -6.0,0.86,5.350,278.1,5.8,0.86,5.440,278.3 -7.5,0.86,5.750,274.9,7.3,0.86,5.850,274.8 -8.7,0.86,7.040,274.7,8.5,0.86,7.190,274.7 -10.2,0.86,9.310,273.0,10.0,0.86,9.480,273.1 -11.6,0.86,9.340,278.9,11.4,0.86,9.540,278.9 -12.2,0.86,9.530,279.5,12.0,0.86,9.740,279.6 -11.9,0.86,8.530,264.6,11.8,0.86,9.280,265.2 -11.5,0.86,11.890,250.6,11.6,0.86,12.830,252.4 -10.3,0.86,14.280,255.2,10.5,0.86,15.490,257.5 -9.5,0.86,14.850,267.1,9.9,0.86,16.120,269.7 -10.0,0.86,14.930,272.9,10.4,0.86,16.230,275.8 -9.7,0.86,13.240,277.1,10.3,0.86,14.870,281.1 -7.8,0.86,11.450,262.5,8.5,0.86,12.840,266.4 -7.6,0.86,11.340,262.0,8.2,0.86,12.580,266.9 -7.1,0.86,11.990,263.2,7.7,0.86,13.050,266.8 -7.3,0.86,11.650,259.8,8.0,0.86,12.610,264.0 -6.7,0.86,12.480,259.8,7.8,0.86,12.960,266.0 -6.8,0.86,11.790,260.8,8.0,0.86,12.200,267.0 -6.2,0.86,11.940,256.2,7.7,0.86,11.770,261.4 -7.1,0.86,11.380,260.1,8.4,0.86,10.520,265.8 -7.3,0.86,11.020,262.4,8.5,0.86,9.960,268.0 -7.9,0.86,10.410,263.0,8.9,0.86,9.110,267.3 -8.7,0.86,8.900,262.2,9.6,0.86,8.040,267.9 -9.0,0.86,7.830,255.1,9.7,0.86,7.720,258.4 -10.0,0.86,3.540,270.7,9.8,0.86,3.620,270.5 -11.4,0.86,2.620,297.1,11.2,0.86,2.650,295.8 -12.5,0.86,2.410,256.4,12.3,0.86,2.440,255.8 -13.4,0.86,2.880,212.8,13.2,0.86,2.910,212.9 -13.9,0.86,4.190,200.3,13.7,0.86,4.250,200.5 -13.9,0.86,5.000,206.9,13.7,0.86,5.100,206.9 -14.2,0.86,6.070,210.7,14.1,0.86,6.580,213.0 -13.8,0.86,9.550,204.3,13.8,0.86,9.940,206.7 -13.0,0.86,9.840,208.4,13.2,0.86,10.580,211.6 -11.7,0.86,11.620,206.5,12.2,0.86,12.520,207.2 -13.1,0.86,11.050,210.6,13.6,0.86,11.600,210.5 -13.2,0.86,11.120,201.5,13.7,0.86,11.800,200.6 -12.1,0.86,10.570,199.7,12.3,0.86,11.100,200.8 -11.0,0.86,8.240,209.9,11.4,0.86,9.370,211.4 -10.2,0.86,9.300,214.1,10.6,0.86,10.710,217.3 -9.8,0.86,10.720,226.8,10.6,0.86,12.060,229.6 -10.5,0.86,11.230,231.1,11.3,0.86,12.380,232.8 -10.4,0.86,10.760,228.8,10.8,0.86,11.840,231.5 -10.9,0.86,11.520,231.8,11.3,0.86,12.820,233.8 -11.7,0.86,13.800,233.7,12.0,0.86,15.390,234.7 -12.1,0.86,12.440,232.5,12.3,0.86,13.730,233.3 -11.5,0.86,12.320,221.7,11.7,0.86,13.610,223.8 -11.0,0.86,12.250,225.8,11.1,0.86,13.280,227.4 -12.8,0.86,11.820,235.9,12.7,0.86,12.860,237.3 -13.8,0.85,12.350,247.7,13.5,0.85,12.650,247.9 -14.2,0.85,13.030,244.8,14.0,0.85,13.390,244.9 -14.1,0.85,14.480,242.9,13.8,0.85,14.840,242.9 -13.0,0.85,15.930,255.8,12.8,0.85,16.280,255.8 -11.8,0.86,14.540,261.9,11.6,0.86,14.880,262.0 -11.1,0.86,16.020,266.5,10.8,0.86,16.400,266.5 -5.6,0.86,13.090,337.7,5.4,0.86,13.380,337.9 -3.7,0.86,11.940,341.5,3.4,0.86,12.370,341.4 -0.7,0.86,15.360,341.9,0.5,0.86,15.720,342.0 --0.3,0.86,16.170,335.1,-0.5,0.86,16.580,335.4 --1.6,0.87,15.430,341.2,-1.8,0.87,15.940,341.3 --2.3,0.87,15.140,336.1,-2.5,0.87,15.660,336.4 --2.8,0.87,13.550,334.9,-3.0,0.87,14.130,335.1 --2.9,0.87,13.010,329.2,-3.1,0.87,13.670,329.6 --2.9,0.87,13.050,321.5,-3.0,0.87,13.760,322.6 --3.1,0.87,12.770,321.2,-3.2,0.87,13.500,322.7 --3.4,0.87,12.430,319.8,-3.5,0.87,13.150,321.3 --3.7,0.87,13.110,324.3,-3.8,0.87,13.940,325.7 --3.7,0.87,12.320,320.5,-3.7,0.87,13.100,322.2 --3.5,0.87,11.820,317.0,-3.5,0.87,12.540,319.3 --3.5,0.87,11.510,316.1,-3.5,0.87,12.260,318.2 --3.2,0.88,11.850,315.2,-3.2,0.88,12.490,317.8 --2.7,0.88,11.620,320.7,-2.8,0.88,12.150,322.3 --2.1,0.88,8.340,311.7,-2.3,0.88,8.520,312.6 --0.3,0.88,7.660,308.8,-0.5,0.88,7.750,308.9 -1.2,0.88,8.240,308.6,0.9,0.88,8.340,308.6 -2.9,0.88,7.380,300.0,2.7,0.88,7.490,299.9 -4.1,0.88,6.960,298.7,3.9,0.88,7.060,298.7 -5.0,0.88,5.810,293.5,4.8,0.88,5.890,293.4 -5.7,0.88,5.390,285.0,5.5,0.88,5.470,284.9 -5.8,0.88,5.320,263.4,5.6,0.88,5.510,263.7 -5.7,0.88,7.010,257.1,5.6,0.88,7.220,257.7 -5.9,0.88,8.610,250.1,5.7,0.88,8.620,250.6 -6.1,0.88,9.150,246.4,6.1,0.88,9.170,245.4 -5.5,0.88,11.350,248.4,5.8,0.88,10.870,247.6 -4.2,0.88,11.540,242.1,5.3,0.88,11.480,242.9 -4.6,0.88,12.350,251.6,5.7,0.88,12.440,251.9 -3.5,0.88,11.980,253.8,4.8,0.88,12.670,255.8 -2.7,0.88,12.430,250.4,4.0,0.88,13.630,253.3 -2.3,0.88,12.180,256.4,3.4,0.88,13.550,259.5 -3.4,0.88,13.500,257.2,4.5,0.88,14.600,260.1 -3.8,0.88,13.370,255.8,4.9,0.88,14.430,259.4 -3.6,0.88,12.820,254.2,5.0,0.88,13.840,258.1 -1.6,0.88,10.530,251.3,3.1,0.88,11.990,256.8 -1.1,0.88,9.890,249.4,2.6,0.88,11.490,254.7 -1.2,0.88,9.150,250.7,2.7,0.88,10.670,255.2 -0.6,0.88,6.940,248.8,1.6,0.88,8.340,251.8 -3.6,0.88,4.470,256.1,3.7,0.88,5.820,256.3 -7.0,0.88,4.050,246.8,6.8,0.88,4.180,247.4 -9.5,0.87,4.660,242.0,9.3,0.87,4.730,242.3 -10.9,0.87,5.070,228.2,10.7,0.87,5.130,228.9 -12.4,0.87,6.720,226.0,12.2,0.87,6.810,226.5 -13.0,0.87,6.920,224.3,12.8,0.87,7.030,224.6 -12.8,0.87,7.040,219.6,12.6,0.87,7.280,220.1 -12.2,0.87,7.670,211.2,12.1,0.87,8.270,214.0 -10.5,0.87,12.050,215.4,10.5,0.87,12.580,217.3 -8.9,0.87,12.360,218.6,9.3,0.87,13.220,221.2 -7.3,0.87,12.210,224.9,7.9,0.87,13.420,227.5 -5.9,0.87,12.990,225.8,6.7,0.87,14.310,228.4 -6.0,0.87,13.530,228.8,7.0,0.87,14.990,230.7 -5.7,0.87,11.890,229.9,6.6,0.87,13.500,232.5 -6.2,0.87,13.110,234.2,6.8,0.87,14.570,236.2 -5.9,0.87,13.120,233.8,6.6,0.87,14.660,236.2 -5.5,0.87,12.390,239.3,6.0,0.87,13.910,241.3 -5.1,0.87,13.350,242.9,5.9,0.87,14.990,244.7 -4.6,0.87,13.550,238.9,5.6,0.87,15.290,241.8 -4.7,0.87,13.520,238.2,5.6,0.87,15.170,240.5 -5.3,0.87,15.210,236.8,6.4,0.87,16.410,238.1 -5.4,0.87,15.560,236.1,6.6,0.87,16.730,237.9 -5.0,0.87,15.270,237.2,6.0,0.87,16.500,239.2 -4.5,0.87,11.080,242.9,4.9,0.87,12.100,244.0 -5.6,0.87,6.240,253.2,5.4,0.87,6.810,252.8 -7.8,0.87,4.880,251.5,7.6,0.87,4.970,251.8 -9.9,0.87,5.140,250.7,9.7,0.87,5.220,250.8 -11.7,0.87,5.760,248.8,11.5,0.87,5.860,249.0 -13.2,0.87,6.040,251.7,13.0,0.87,6.130,251.7 -14.0,0.87,5.990,256.9,13.8,0.87,6.080,256.9 -14.4,0.87,4.940,258.7,14.2,0.87,5.050,259.0 -14.5,0.87,3.650,271.0,14.4,0.87,3.970,271.1 -12.5,0.87,1.690,313.1,12.6,0.87,2.160,305.0 -11.8,0.87,1.420,232.8,11.8,0.87,1.510,243.8 -12.2,0.87,3.580,258.0,12.2,0.87,3.140,259.1 -12.0,0.87,4.610,263.6,12.1,0.87,4.120,268.7 -10.1,0.87,5.230,320.6,10.2,0.87,5.090,321.8 -7.8,0.87,7.200,319.9,8.0,0.87,7.220,321.4 -7.7,0.87,7.510,325.1,8.3,0.87,7.170,333.7 -6.5,0.87,6.540,327.4,7.0,0.87,6.060,335.7 -5.8,0.87,5.740,330.6,6.1,0.87,5.530,335.4 -4.9,0.87,7.470,323.6,5.3,0.87,7.010,327.1 -4.2,0.87,7.180,323.2,4.7,0.87,6.780,327.6 -3.9,0.87,6.430,318.9,4.5,0.87,5.920,323.7 -3.6,0.87,5.960,315.9,4.4,0.87,5.440,318.5 -5.3,0.87,4.980,309.7,5.9,0.87,4.600,312.7 -6.7,0.87,5.090,298.6,7.1,0.87,5.140,297.8 -6.5,0.87,6.610,299.6,7.3,0.87,6.880,298.2 -7.3,0.87,5.560,282.4,7.6,0.87,6.090,285.4 -9.7,0.86,5.080,281.9,9.6,0.86,5.690,281.7 -12.3,0.86,5.750,268.1,12.1,0.86,5.890,268.7 -13.8,0.86,6.350,310.9,13.6,0.86,6.460,310.0 -12.5,0.86,5.170,334.1,12.3,0.86,5.200,332.7 -12.9,0.86,6.160,338.6,12.7,0.86,6.190,338.1 -12.6,0.86,5.820,337.5,12.4,0.86,5.900,336.6 -12.6,0.86,5.430,314.1,12.5,0.86,5.970,313.9 -12.9,0.87,5.870,314.5,12.9,0.87,6.100,317.0 -12.9,0.87,7.370,322.8,13.0,0.87,7.420,328.9 -9.5,0.87,9.460,0.9,9.4,0.87,9.350,11.7 -8.2,0.87,6.230,39.4,8.4,0.87,6.710,36.8 -6.1,0.87,5.650,42.8,6.1,0.87,6.350,42.1 -4.9,0.87,4.970,36.5,5.1,0.87,5.310,35.6 -3.9,0.87,3.310,32.6,4.0,0.87,3.740,34.0 -3.3,0.87,1.770,17.1,3.5,0.87,2.230,20.2 -3.2,0.87,2.600,1.7,3.3,0.87,2.970,5.5 -2.6,0.87,2.850,350.8,2.8,0.87,3.050,356.8 -2.2,0.87,2.290,16.7,2.5,0.87,2.470,26.6 -1.9,0.87,2.650,53.8,2.4,0.87,2.970,61.5 -2.3,0.87,3.270,97.2,2.7,0.87,3.790,97.8 -1.7,0.87,3.200,131.6,2.0,0.87,3.710,128.3 -1.3,0.87,5.330,132.8,1.7,0.87,5.820,133.3 -1.2,0.86,6.800,142.8,1.7,0.86,7.280,142.6 -1.9,0.86,5.640,155.2,1.8,0.86,5.990,155.4 -3.5,0.86,7.560,162.3,3.3,0.86,7.660,162.4 -5.2,0.86,7.780,167.0,5.0,0.86,7.870,167.3 -6.6,0.86,8.950,164.8,6.4,0.86,9.070,165.2 -7.9,0.86,9.800,168.5,7.7,0.86,9.930,168.8 -8.5,0.86,9.730,167.9,8.3,0.86,9.860,168.2 -8.4,0.86,10.030,162.2,8.2,0.86,10.200,162.5 -5.9,0.86,9.400,150.9,5.8,0.86,9.750,152.8 -4.0,0.86,11.250,153.4,3.9,0.86,11.750,154.4 -3.5,0.86,12.060,156.3,3.5,0.86,12.560,157.2 -2.7,0.86,12.510,154.1,2.7,0.86,12.940,154.6 -2.1,0.86,12.510,153.6,2.0,0.86,12.990,153.8 -0.4,0.86,13.430,149.9,0.5,0.86,14.010,150.2 --0.8,0.86,13.980,145.5,-0.7,0.86,14.570,145.6 --1.5,0.86,13.310,140.7,-1.6,0.86,13.970,140.6 --2.5,0.86,7.920,116.9,-2.6,0.86,9.130,117.6 --3.2,0.86,6.660,98.5,-3.4,0.86,6.860,99.2 --4.2,0.86,7.440,63.7,-4.4,0.86,7.510,64.3 --5.2,0.86,9.090,42.0,-5.4,0.86,9.200,42.2 --6.6,0.86,10.120,29.6,-6.8,0.86,10.460,29.9 --7.8,0.86,11.540,24.0,-8.0,0.86,11.780,24.2 --8.3,0.86,12.760,17.7,-8.5,0.86,13.000,17.8 --8.6,0.86,13.420,13.8,-8.8,0.86,13.660,13.8 --9.4,0.87,13.110,10.0,-9.6,0.87,13.330,10.1 --9.5,0.87,12.700,6.6,-9.7,0.87,12.920,6.7 --9.2,0.87,13.900,5.2,-9.5,0.87,14.090,5.3 --9.2,0.87,13.770,359.8,-9.5,0.87,13.950,0.0 --8.5,0.87,12.930,3.0,-8.7,0.87,13.110,3.0 --7.6,0.87,13.270,358.0,-7.8,0.87,13.460,358.1 --7.2,0.87,13.140,358.4,-7.4,0.87,13.330,358.4 --6.9,0.87,12.430,359.6,-7.1,0.87,12.640,359.6 --7.0,0.87,11.330,4.9,-7.2,0.87,11.570,4.8 --7.6,0.87,9.460,6.6,-7.8,0.87,9.960,6.6 --7.8,0.87,9.000,357.1,-7.9,0.87,9.520,358.5 --8.2,0.87,7.350,351.9,-8.3,0.87,7.590,353.7 --8.8,0.87,9.020,1.4,-9.0,0.87,9.510,3.3 --9.3,0.87,8.180,3.7,-9.5,0.87,8.750,5.3 --9.8,0.87,8.420,6.9,-10.0,0.87,9.000,8.9 --10.2,0.87,7.970,8.2,-10.3,0.87,8.550,10.5 --10.5,0.87,6.960,2.5,-10.7,0.87,7.440,5.9 --10.8,0.87,6.380,351.3,-11.0,0.87,6.870,356.4 --11.2,0.87,5.620,337.0,-11.3,0.87,5.820,342.8 --11.6,0.87,5.630,341.3,-11.7,0.87,5.750,346.3 --11.9,0.87,4.130,356.8,-12.0,0.87,4.400,1.3 --12.1,0.87,3.570,353.9,-12.1,0.87,3.750,358.0 --12.0,0.87,1.840,331.9,-12.1,0.87,2.080,339.1 --11.8,0.87,0.650,307.9,-11.7,0.87,0.810,319.4 --11.0,0.87,1.100,225.6,-10.9,0.87,1.170,233.7 --8.9,0.87,2.470,192.3,-9.1,0.87,2.490,192.6 --6.2,0.87,4.110,188.5,-6.4,0.87,4.150,188.7 --3.9,0.87,5.540,190.7,-4.1,0.87,5.610,190.9 --1.7,0.87,6.590,190.9,-1.9,0.87,6.680,191.1 --0.0,0.87,8.130,184.8,-0.2,0.87,8.250,185.2 -0.9,0.87,9.190,183.5,0.7,0.87,9.350,183.8 -1.4,0.86,9.790,182.1,1.2,0.86,9.980,182.4 -0.8,0.86,10.740,181.5,0.7,0.86,11.350,182.2 --0.3,0.86,11.570,176.0,-0.3,0.86,12.310,177.2 --1.0,0.86,13.870,177.3,-1.0,0.86,14.660,178.0 --1.8,0.86,13.120,178.4,-1.7,0.86,13.990,179.5 --2.4,0.86,14.150,182.4,-2.3,0.86,15.040,183.7 --2.9,0.86,14.930,183.2,-2.8,0.86,15.710,184.8 --3.3,0.86,14.230,187.4,-3.1,0.86,14.990,189.9 --3.9,0.86,12.410,186.5,-3.6,0.86,13.480,189.6 --4.2,0.86,11.970,186.3,-4.0,0.86,12.930,188.5 --4.3,0.86,12.640,188.6,-4.3,0.86,13.440,190.8 --4.4,0.86,12.000,190.4,-4.3,0.86,12.790,193.9 --3.7,0.86,11.610,198.4,-3.5,0.86,12.680,203.0 --3.3,0.86,12.350,209.6,-2.9,0.86,13.710,213.4 --3.1,0.86,13.250,216.3,-2.4,0.86,14.450,220.2 --3.0,0.86,12.310,221.8,-1.9,0.86,13.480,228.1 --1.5,0.86,12.010,233.9,0.1,0.86,13.240,241.8 -0.8,0.86,11.780,245.6,1.4,0.86,12.960,249.9 -3.8,0.86,10.830,247.4,3.7,0.86,11.750,249.9 -5.4,0.86,9.280,250.2,5.2,0.86,9.430,250.6 -6.3,0.86,8.410,268.3,6.1,0.86,8.540,268.1 -6.9,0.86,8.200,267.9,6.7,0.86,8.320,267.8 -7.3,0.86,6.350,275.6,7.1,0.86,6.440,275.7 -7.5,0.86,5.180,280.9,7.3,0.86,5.250,280.6 -7.5,0.86,4.190,279.8,7.2,0.86,4.240,279.3 -7.2,0.86,3.910,295.3,7.0,0.86,3.930,294.4 -6.7,0.86,3.090,312.2,6.6,0.86,3.160,310.7 -1.5,0.86,9.320,71.8,1.1,0.86,10.270,73.7 --1.3,0.86,7.760,60.3,-1.5,0.86,8.780,59.9 --3.5,0.86,7.860,45.9,-3.6,0.86,8.800,48.3 --4.7,0.86,6.760,42.4,-4.9,0.86,7.660,44.4 --5.6,0.86,6.620,38.1,-5.8,0.86,7.400,40.7 --6.3,0.86,6.350,33.0,-6.5,0.86,7.010,35.5 --7.1,0.86,7.070,23.5,-7.3,0.86,7.400,24.6 --7.8,0.86,8.110,12.6,-8.0,0.86,8.210,13.0 --8.6,0.86,8.410,8.3,-8.8,0.86,8.500,8.8 --9.5,0.86,8.690,10.5,-9.7,0.86,8.890,11.1 --9.9,0.86,8.490,5.2,-10.1,0.86,8.850,6.2 --9.9,0.87,7.640,3.7,-10.1,0.87,8.050,4.2 --10.0,0.87,7.150,344.9,-10.1,0.87,7.450,347.0 --10.0,0.87,7.430,346.8,-10.1,0.87,7.860,350.1 --9.7,0.87,6.460,350.0,-9.8,0.87,6.720,352.0 --8.5,0.87,6.320,348.8,-8.7,0.87,6.390,349.2 --7.0,0.87,5.720,342.1,-7.3,0.87,5.780,342.4 --5.4,0.87,5.560,344.1,-5.6,0.87,5.620,344.4 --4.0,0.87,5.420,345.2,-4.3,0.87,5.480,345.5 --2.5,0.87,5.330,347.2,-2.7,0.87,5.390,347.4 --1.7,0.87,5.120,343.7,-1.9,0.87,5.170,343.9 --1.3,0.87,5.050,340.1,-1.5,0.87,5.120,340.2 --1.2,0.87,3.890,332.3,-1.4,0.87,3.970,332.4 --1.3,0.87,3.160,302.8,-1.4,0.87,3.200,305.0 --1.2,0.87,4.550,274.7,-1.4,0.87,4.350,277.0 --0.8,0.87,4.790,280.9,-1.0,0.87,4.640,283.4 --0.6,0.87,5.160,299.7,-0.7,0.87,5.100,300.7 --0.7,0.87,5.310,309.4,-0.7,0.87,5.360,311.3 --1.2,0.87,5.090,314.2,-1.1,0.87,5.240,314.5 --1.8,0.87,4.390,315.4,-1.5,0.87,4.710,316.2 --2.5,0.87,4.310,322.8,-2.2,0.87,4.660,321.9 --3.0,0.87,4.490,323.9,-2.6,0.87,4.800,325.1 --3.0,0.87,4.170,310.1,-2.7,0.87,4.540,311.9 --2.7,0.87,5.130,309.6,-2.4,0.87,5.490,310.5 --2.3,0.87,5.710,305.1,-2.0,0.87,5.680,306.9 --2.4,0.87,5.930,306.1,-1.9,0.87,5.700,307.9 --2.5,0.87,5.800,305.4,-2.0,0.87,5.570,307.2 --3.1,0.87,5.320,304.5,-2.6,0.87,5.200,305.6 --2.9,0.88,4.940,306.2,-2.4,0.88,5.030,307.3 --2.2,0.88,2.340,303.1,-2.1,0.88,3.120,301.1 --0.3,0.88,2.100,305.0,-0.5,0.88,2.130,301.4 -1.5,0.88,1.950,301.2,1.3,0.88,1.970,297.4 -3.1,0.88,1.510,272.1,2.9,0.88,1.580,268.2 -4.1,0.88,2.800,224.3,3.9,0.88,2.850,224.1 -4.6,0.87,4.210,207.0,4.4,0.87,4.270,207.1 -4.8,0.87,4.790,205.3,4.5,0.87,4.890,205.3 -4.8,0.87,4.990,200.9,4.6,0.87,5.110,200.5 -3.9,0.87,7.450,200.2,3.9,0.87,7.730,203.0 -3.8,0.87,10.040,202.4,3.6,0.87,9.960,202.5 -3.2,0.87,10.930,196.3,3.3,0.87,10.960,196.8 -2.8,0.87,11.330,193.4,3.0,0.87,11.730,193.6 -1.5,0.87,13.140,201.1,2.0,0.87,14.130,201.6 -0.8,0.87,11.580,200.6,1.2,0.87,12.890,201.0 --1.2,0.87,10.790,191.6,-0.7,0.87,12.190,194.9 --1.2,0.87,12.370,195.7,-0.8,0.87,13.840,196.6 --0.4,0.87,15.820,199.9,-0.1,0.87,16.980,199.9 --0.7,0.87,15.700,200.9,-0.3,0.87,17.120,201.1 --1.1,0.87,14.490,203.1,-1.0,0.87,15.820,203.3 --0.8,0.87,17.030,203.8,-0.6,0.87,18.180,204.1 --1.3,0.87,13.650,203.8,-1.1,0.87,14.830,204.6 --1.5,0.87,13.320,203.8,-1.2,0.87,14.530,204.4 --1.8,0.87,12.230,199.2,-1.5,0.87,13.480,200.8 --1.7,0.87,12.420,197.3,-1.6,0.87,13.310,198.7 --0.0,0.87,9.900,194.0,-0.1,0.87,10.640,195.0 -2.0,0.87,11.520,197.0,1.8,0.87,11.750,197.1 -3.2,0.87,10.650,196.2,2.9,0.87,10.850,196.3 -4.0,0.87,9.690,195.6,3.8,0.87,9.870,195.7 -4.7,0.87,8.920,194.4,4.5,0.87,9.090,194.5 -5.2,0.87,8.560,193.8,5.0,0.87,8.730,193.9 -5.1,0.87,8.480,190.2,4.9,0.87,8.680,190.4 -4.4,0.87,8.490,187.3,4.2,0.87,8.990,188.0 -3.8,0.87,8.910,186.7,3.7,0.87,9.540,187.1 -3.5,0.87,9.720,179.5,3.3,0.87,10.340,180.2 -2.7,0.87,10.550,184.5,2.5,0.87,11.040,185.1 -1.5,0.87,12.290,190.2,1.3,0.87,12.760,190.5 -0.5,0.87,11.540,194.8,0.3,0.87,12.370,195.0 -0.4,0.87,9.650,189.8,0.4,0.87,10.410,191.7 -0.6,0.87,10.260,188.6,0.4,0.87,10.520,188.9 -0.8,0.87,8.680,191.4,0.8,0.87,9.280,192.8 -1.4,0.87,7.920,198.5,1.6,0.87,8.540,200.8 -1.1,0.87,7.710,192.2,1.0,0.87,8.220,193.6 -1.3,0.86,7.420,196.6,1.2,0.86,7.840,198.7 -1.1,0.86,7.750,194.2,0.9,0.86,8.150,195.0 -0.7,0.86,6.400,197.6,0.6,0.86,6.900,200.1 -0.2,0.86,3.940,208.9,0.2,0.86,4.480,212.8 -0.2,0.86,3.190,206.0,0.3,0.86,3.740,212.2 --0.0,0.86,1.990,277.2,-0.0,0.86,2.230,268.0 --0.1,0.86,2.680,309.1,-0.1,0.86,3.040,307.2 --0.2,0.86,3.280,338.6,-0.3,0.86,3.530,336.7 --0.3,0.87,5.170,348.6,-0.5,0.87,5.130,348.8 --2.1,0.87,4.590,345.3,-2.3,0.87,4.560,345.6 --2.1,0.87,4.770,337.1,-2.3,0.87,4.780,337.0 --2.1,0.87,5.420,348.1,-2.3,0.87,5.450,348.0 --2.0,0.87,5.230,353.6,-2.2,0.87,5.270,353.4 --1.9,0.87,4.690,359.5,-2.1,0.87,4.750,359.5 -13.2,0.87,13.590,357.5,13.1,0.87,15.150,357.0 -10.4,0.87,10.780,351.5,10.2,0.87,11.930,353.1 -8.3,0.87,10.770,352.6,8.3,0.87,12.200,355.7 -7.2,0.87,14.320,3.8,7.2,0.87,15.250,3.9 -6.3,0.88,12.920,7.1,6.3,0.88,14.140,8.5 -5.3,0.88,10.550,349.6,5.5,0.88,12.070,352.8 From 56fde60416619c6d7b485b3e0a6b9625f0b7e1b6 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Thu, 5 Oct 2023 12:42:10 -0700 Subject: [PATCH 23/46] Add TAP test; allow users to specify API call Previously, a resource download would only take place if a file was not found. This change adds a field, `use_api`, that will override to always run the API call even if a file is found. --- .../technologies/resource/solar_resource.py | 37 +++++++---- .../technologies/resource/wind_resource.py | 66 ++++++++++++------- tests/hopp/test_resource_download.py | 60 +++++++++++------ 3 files changed, 109 insertions(+), 54 deletions(-) diff --git a/hopp/simulation/technologies/resource/solar_resource.py b/hopp/simulation/technologies/resource/solar_resource.py index 6b7cd8d60..a69d10be7 100644 --- a/hopp/simulation/technologies/resource/solar_resource.py +++ b/hopp/simulation/technologies/resource/solar_resource.py @@ -1,5 +1,7 @@ import os from collections import defaultdict +from pathlib import Path +from typing import Union import numpy as np import csv from PySAM.ResourceTools import SAM_CSV_to_solar_data @@ -7,6 +9,7 @@ from hopp.utilities.keys import get_developer_nrel_gov_key from hopp.utilities.log import hybrid_logger as logger from hopp.simulation.technologies.resource.resource import Resource +from hopp import ROOT_DIR BASE_URL = "https://developer.nrel.gov/api/nsrdb/v2/solar/psm3-download.csv" @@ -14,19 +17,29 @@ class SolarResource(Resource): """ - Class to manage Solar Resource data - """ + Class to manage Solar Resource data. - def __init__(self, lat, lon, year, path_resource="", filepath="", **kwargs): - """ + Args: + lat: latitude + lon: longitude + year: year + path_resource: directory where to save downloaded files + filepath: file path of resource file to load + use_api: Make an API call even if there's an existing file. Defaults to False + kwargs: extra kwargs - :param lat: float - :param lon: float - :param year: int - :param path_resource: directory where to save downloaded files - :param filepath: file path of resource file to load - :param kwargs: - """ + """ + + def __init__( + self, + lat: float, + lon: float, + year: int, + path_resource: Union[str, Path] = ROOT_DIR.parent / "resource_files", + filepath: Union[str, Path] ="", + use_api: bool = False, + **kwargs + ): super().__init__(lat, lon, year) if os.path.isdir(path_resource): @@ -48,7 +61,7 @@ def __init__(self, lat, lon, year, path_resource="", filepath="", **kwargs): self.check_download_dir() # FIXME: This breaks if weather file is in the same directory as caller - if not os.path.isfile(self.filename): + if not os.path.isfile(self.filename) or use_api: self.download_resource() self.format_data() diff --git a/hopp/simulation/technologies/resource/wind_resource.py b/hopp/simulation/technologies/resource/wind_resource.py index fa25b07b1..07ef15125 100644 --- a/hopp/simulation/technologies/resource/wind_resource.py +++ b/hopp/simulation/technologies/resource/wind_resource.py @@ -1,11 +1,15 @@ import csv, os +from pathlib import Path +from typing import Union from PySAM.ResourceTools import SRW_to_wind_data from hopp.utilities.keys import get_developer_nrel_gov_key from hopp.simulation.technologies.resource.resource import Resource +from hopp import ROOT_DIR -BASE_URL = "https://developer.nrel.gov/api/wind-toolkit/v2/wind/wtk-srw-download" +WTK_BASE_URL = "https://developer.nrel.gov/api/wind-toolkit/v2/wind/wtk-srw-download" +TAP_BASE_URL = "https://dw-tap.nrel.gov/v2/srw" class WindResource(Resource): @@ -19,16 +23,30 @@ class WindResource(Resource): """ allowed_hub_height_meters = [10, 40, 60, 80, 100, 120, 140, 160, 200] - def __init__(self, lat, lon, year, wind_turbine_hub_ht, path_resource="", filepath="", source="WTK", **kwargs): + def __init__( + self, + lat: float, + lon: float, + year: int, + wind_turbine_hub_ht: float, + path_resource: Union[str, Path] = ROOT_DIR.parent / "resource_files", + filepath: Union[str, Path] ="", + source: str ="WTK", + use_api: bool = False, + **kwargs + ): """ - :param lat: float - :param lon: float - :param year: int - :param wind_turbine_hub_ht: int - :param path_resource: directory where to save downloaded files - :param filepath: file path of resource file to load - :param kwargs: + Args: + lat: latitude + lon: longitude + year: year + wind_turbine_hub_ht: turbine hub height + path_resource: directory where to save downloaded files + filepath: file path of resource file to load + source: Which API to use. Options are TAP and WIND Toolkit (WTK). + use_api: Make an API call even if there's an existing file. Defaults to False + kwargs: extra kwargs """ super().__init__(lat, lon, year) @@ -52,8 +70,7 @@ def __init__(self, lat, lon, year, wind_turbine_hub_ht, path_resource="", filepa self.check_download_dir() - if not os.path.isfile(self.filename): - print("Will call download resource file") + if not os.path.isfile(self.filename) or use_api: self.download_resource() self.format_data() @@ -97,20 +114,24 @@ def update_height(self, hub_height_meters): self.calculate_heights_to_download() def download_resource(self): - success = os.path.isfile(self.filename) - if not success: - for height, f in self.file_resource_heights.items(): + success = False + + for height, f in self.file_resource_heights.items(): + url = "" - if self.source == "WTK": - url = 'https://developer.nrel.gov/api/wind-toolkit/v2/wind/wtk-srw-download?year={year}&lat={lat}&lon={lon}&hubheight={hubheight}&api_key={api_key}&email={email}'.format( - year=self.year, lat=self.latitude, lon=self.longitude, hubheight=height, api_key=get_developer_nrel_gov_key(), email=self.email) - elif self.source == "TAP": - url = 'https://dw-tap.nrel.gov/v2/srw?height={hubheight}m&lat={lat}&lon={lon}&year={year}'.format(year=self.year, lat=self.latitude, lon=self.longitude, hubheight=height) + if self.source == "WTK": + url = '{base}?year={year}&lat={lat}&lon={lon}&hubheight={hubheight}&api_key={api_key}&email={email}'.format( + base=WTK_BASE_URL, year=self.year, lat=self.latitude, lon=self.longitude, hubheight=height, api_key=get_developer_nrel_gov_key(), email=self.email + ) + elif self.source == "TAP": + url = '{base}?height={hubheight}m&lat={lat}&lon={lon}&year={year}'.format( + base=TAP_BASE_URL, year=self.year, lat=self.latitude, lon=self.longitude, hubheight=height + ) - success = self.call_api(url, filename=f) + success = self.call_api(url, filename=f) - if not success: - raise ValueError('Unable to download wind data') + if not success: + raise ValueError('Unable to download wind data') # combine into one file to pass to SAM if len(list(self.file_resource_heights.keys())) > 1: @@ -160,7 +181,6 @@ def format_data(self): raise FileNotFoundError(f"{self.filename} does not exist. Try `download_resource` first.") self.data = self.filename - #print(self.data) @Resource.data.setter def data(self, data_file): diff --git a/tests/hopp/test_resource_download.py b/tests/hopp/test_resource_download.py index 108a9ed1d..a3ab903fa 100644 --- a/tests/hopp/test_resource_download.py +++ b/tests/hopp/test_resource_download.py @@ -1,10 +1,10 @@ -from pytest import approx +from pytest import approx, fixture import responses import os from hopp import ROOT_DIR from hopp.simulation.technologies.resource.solar_resource import BASE_URL as SOLAR_URL -from hopp.simulation.technologies.resource.wind_resource import BASE_URL as WIND_URL +from hopp.simulation.technologies.resource.wind_resource import WTK_BASE_URL, TAP_BASE_URL from hopp.simulation.technologies.resource import SolarResource, WindResource, Resource from tests.hopp.utils import DEFAULT_WIND_RESOURCE_FILE @@ -28,12 +28,17 @@ @responses.activate def test_solar(): - responses.add( + resp = responses.add( responses.GET, SOLAR_URL, body=solar_body ) - solar_resource = SolarResource(lat=lat, lon=lon, year=year) + solar_resource = SolarResource( + lat=lat, + lon=lon, + year=year, + use_api=True + ) data = solar_resource.data for key in ('df', 'dn', 'wspd', 'tdry', 'year', 'month', 'day', 'hour', 'minute', 'tz'): assert(key in data) @@ -45,13 +50,14 @@ def test_solar(): model.SolarResource.solar_resource_data = solar_resource.data model.execute(1) assert(model.Outputs.annual_energy == approx(9275, 0.1)) + assert resp.call_count == 1 @responses.activate def test_wind(): - responses.add( + resp = responses.add( responses.GET, - WIND_URL, + WTK_BASE_URL, body=wind_body ) wind_resource = WindResource( @@ -59,6 +65,7 @@ def test_wind(): lon=lon, year=year, wind_turbine_hub_ht=hubheight, + use_api=True ) data = wind_resource.data for key in ('heights', 'fields', 'data'): @@ -72,47 +79,62 @@ def test_wind(): model.Resource.wind_resource_data = wind_resource.data model.execute(0) assert(model.Outputs.annual_energy == approx(aep)) + assert resp.call_count == 1 @responses.activate def test_wind_toolkit(): - responses.add( + resp = responses.add( responses.GET, - WIND_URL, + WTK_BASE_URL, body=wind_body ) - wind_resource = WindResource( + WindResource( + lat=lat, + lon=lon, + year=year, + wind_turbine_hub_ht=hubheight, + use_api=True + ) + assert resp.call_count == 1 + + +@responses.activate +def test_tap(): + resp = responses.add( + responses.GET, + TAP_BASE_URL, + body=wind_body + ) + WindResource( lat=lat, lon=lon, year=year, wind_turbine_hub_ht=hubheight, + source="TAP", + use_api=True ) - assert(wind_resource.download_resource()) + assert resp.call_count == 1 @responses.activate def test_wind_combine(): - responses.add( + resp = responses.add( responses.GET, - WIND_URL, + WTK_BASE_URL, wind_body ) - path_file = os.path.dirname(os.path.abspath(__file__)) - - kwargs = {'path_resource': os.path.join(path_file, 'data')} wind_resource = WindResource( lat=lat, lon=lon, year=year, wind_turbine_hub_ht=70, - **kwargs + use_api=True, ) - if os.path.isfile(wind_resource.filename): - os.remove(wind_resource.filename) - assert(wind_resource.combine_wind_files()) + assert resp.call_count == 2 def test_from_file(): From 6d5460c128d477df3efb2d42f8e9e9a3c625dc76 Mon Sep 17 00:00:00 2001 From: kbrunik Date: Fri, 6 Oct 2023 14:07:05 -0700 Subject: [PATCH 24/46] remove examples from setup.py --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index 07fb1ba5b..a2b8f9107 100644 --- a/setup.py +++ b/setup.py @@ -11,7 +11,7 @@ version = version.split('=')[-1].strip().strip('"').strip("'") # copy over packages -directories = ['hopp', "examples"] +directories = ['hopp'] pkg_dirs = [] From 8f2f632d3ca842ff4f41a474b5feaf25ba15c81f Mon Sep 17 00:00:00 2001 From: kbrunik Date: Fri, 6 Oct 2023 15:47:29 -0700 Subject: [PATCH 25/46] update floris examples with visuals --- examples/workshop/05-floris-wake-model.ipynb | 174 ++++++++++++++++++- 1 file changed, 165 insertions(+), 9 deletions(-) diff --git a/examples/workshop/05-floris-wake-model.ipynb b/examples/workshop/05-floris-wake-model.ipynb index e5f51b5c4..378c3adb3 100644 --- a/examples/workshop/05-floris-wake-model.ipynb +++ b/examples/workshop/05-floris-wake-model.ipynb @@ -19,9 +19,17 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-10-06T13.50.54.727737.log\n" + ] + } + ], "source": [ "from hopp.simulation.hybrid_simulation import HybridSimulation" ] @@ -54,7 +62,10 @@ " solar=True,\n", " wind=True,\n", " wave=False\n", - " )" + " )\n", + "\n", + "wind_speed = [W[2] for W in site.wind_resource._data['data']]\n", + "wind_dirs = [W[3] for W in site.wind_resource._data['data']]" ] }, { @@ -67,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -86,7 +97,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -97,6 +108,151 @@ " floris_config = yaml.load(f, yaml.FullLoader)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualize the Turbine Wakes using FLORIS (Optional) \n", + "\n", + "Optionally, you can visualize the wakes from the turbines using plotting tools from FLORIS.\n", + "\n", + " Additional instructions for generating wake plots from floris can be found in [FLORIS plotting example](https://github.com/NREL/floris/blob/main/examples/02_visualizations.py)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from floris.tools import FlorisInterface\n", + "import floris.tools.visualization as wakeviz\n", + "from floris.tools.visualization import visualize_cut_plane\n", + "from floris.tools.visualization import plot_rotor_values\n", + "from floris.tools.visualization import (\n", + " calculate_horizontal_plane_with_turbines,\n", + " visualize_cut_plane,\n", + ")\n", + "\n", + "fi = FlorisInterface(\"inputs/floris/gch.yaml\")\n", + "fi.reinitialize(wind_speeds=[np.round(np.average(wind_speed), decimals=3)])\n", + "fi.reinitialize(wind_directions=[np.round(np.median(wind_dirs), decimals=2)])\n", + "horizontal_plane = fi.calculate_horizontal_plane(\n", + " x_resolution=200,\n", + " y_resolution=100,\n", + " height=90.0,\n", + " yaw_angles=np.array([[[25.,0.,0.,0.]]]),\n", + ")\n", + "\n", + "y_plane = fi.calculate_y_plane(\n", + " x_resolution=200,\n", + " z_resolution=100,\n", + " crossstream_dist=0.0,\n", + " yaw_angles=np.array([[[25.,0.,0.,0.]]]),\n", + ")\n", + "cross_plane = fi.calculate_cross_plane(\n", + " y_resolution=100,\n", + " z_resolution=100,\n", + " downstream_dist=630.0,\n", + " yaw_angles=np.array([[[25.,0.,0.,0.]]]),\n", + ")\n", + "\n", + "fig, ax_list = plt.subplots(3, 1, figsize=(10, 8))\n", + "ax_list = ax_list.flatten()\n", + "wakeviz.visualize_cut_plane(horizontal_plane, ax=ax_list[0], title=\"Horizontal\")\n", + "wakeviz.visualize_cut_plane(y_plane, ax=ax_list[1], title=\"Streamwise profile\")\n", + "wakeviz.visualize_cut_plane(cross_plane, ax=ax_list[2], title=\"Spanwise profile\")\n", + "\n", + "horizontal_plane_scan_turbine = calculate_horizontal_plane_with_turbines(\n", + " fi,\n", + " x_resolution=20,\n", + " y_resolution=10,\n", + " yaw_angles=np.array([[[25.,0.,0.,0.]]]),\n", + ")\n", + "\n", + "fig, ax = plt.subplots()\n", + "visualize_cut_plane(\n", + " horizontal_plane_scan_turbine,\n", + " ax=ax,\n", + " title=\"Horizontal (coarse turbine scan method)\",\n", + ")\n", + "\n", + "fi.calculate_wake()\n", + "\n", + "fig, axes, _ , _ = wakeviz.plot_rotor_values(\n", + " fi.floris.flow_field.u,\n", + " wd_index=0,\n", + " ws_index=0,\n", + " n_rows=1,\n", + " n_cols=3,\n", + " return_fig_objects=True\n", + ")\n", + "fig.suptitle(\"Rotor Plane Visualization, Original Resolution\")\n", + "\n", + "solver_settings = {\n", + " \"type\": \"turbine_grid\",\n", + " \"turbine_grid_points\": 10\n", + "}\n", + "fi.reinitialize(solver_settings=solver_settings)\n", + "\n", + "fi.calculate_wake()\n", + "\n", + "fig, axes, _ , _ = wakeviz.plot_rotor_values(\n", + " fi.floris.flow_field.u,\n", + " wd_index=0,\n", + " ws_index=0,\n", + " n_rows=1,\n", + " n_cols=3,\n", + " return_fig_objects=True\n", + ")\n", + "fig.suptitle(\"Rotor Plane Visualization, 10x10 Resolution\")\n", + "\n", + "wakeviz.show_plots()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -109,7 +265,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -143,7 +299,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -168,7 +324,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -176,7 +332,7 @@ "output_type": "stream", "text": [ "Simulating wind farm output in FLORIS...\n", - "Wind annual energy: 53899704.432676055\n" + "Wind annual energy: 71702641.3705228\n" ] } ], From 1e4b1d492328e3a1e58512fa0a6c135f3d7b20ba Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Mon, 9 Oct 2023 19:41:12 -0700 Subject: [PATCH 26/46] Refactor wave model --- hopp/simulation/hybrid_simulation.py | 5 +- .../technologies/financial/mhk_cost_model.py | 149 ++++++++------- .../technologies/mhk_wave_source.py | 177 ++++++++---------- tests/hopp/input/wave/wave_device.yaml | 14 +- tests/hopp/test_hybrid.py | 32 ++-- tests/hopp/test_wave.py | 145 ++++++++------ 6 files changed, 275 insertions(+), 247 deletions(-) diff --git a/hopp/simulation/hybrid_simulation.py b/hopp/simulation/hybrid_simulation.py index 9d44b159d..683e0d241 100644 --- a/hopp/simulation/hybrid_simulation.py +++ b/hopp/simulation/hybrid_simulation.py @@ -15,7 +15,7 @@ from hopp.simulation.technologies.wind_source import WindPlant from hopp.simulation.technologies.tower_source import TowerConfig, TowerPlant from hopp.simulation.technologies.trough_source import TroughConfig, TroughPlant -from hopp.simulation.technologies.mhk_wave_source import MHKWavePlant +from hopp.simulation.technologies.mhk_wave_source import MHKWavePlant, MHKConfig from hopp.simulation.technologies.battery import Battery, BatteryConfig from hopp.simulation.technologies.battery_stateless import BatteryStateless from hopp.simulation.technologies.grid import Grid @@ -172,7 +172,8 @@ def __init__(self, self.power_sources['wind'] = self.wind logger.info("Created HybridSystem.wind with system size {} mW".format(power_sources['wind'])) if 'wave' in power_sources.keys(): - self.wave = MHKWavePlant(self.site, power_sources['wave']) + config = MHKConfig.from_dict(power_sources['wave']) + self.wave = MHKWavePlant(self.site, config=config) self.power_sources['wave'] = self.wave logger.info("Created HybridSystem.wave with system size {} mW".format(power_sources['wave'])) if 'tower' in power_sources.keys(): diff --git a/hopp/simulation/technologies/financial/mhk_cost_model.py b/hopp/simulation/technologies/financial/mhk_cost_model.py index 0fd7b934d..b69485699 100644 --- a/hopp/simulation/technologies/financial/mhk_cost_model.py +++ b/hopp/simulation/technologies/financial/mhk_cost_model.py @@ -1,81 +1,89 @@ +from typing import TYPE_CHECKING, Dict, Optional import PySAM.MhkCosts as MhkCost -class MHKCosts(): +from attrs import define, field +from hopp.simulation.base import BaseClass + +from hopp.utilities.validators import gt_zero, range_val + +# avoid circular dep +if TYPE_CHECKING: + from hopp.simulation.technologies.mhk_wave_source import MHKConfig + +@define +class MHKCostModelInputs(BaseClass): + """ + Configuration class for MHK Cost Model. + + Args: + reference_model_num: Reference model number from Sandia + Project (3, 5, or 6). + water_depth: Water depth in meters + distance_to_shore: Distance to shore in meters + number_rows: Number of rows in the device layout + row_spacing: Spacing between rows in meters + (default 'device_spacing') + cable_system_overbuild: Cable system overbuild percentage + (default 10%) + """ + reference_model_num: int + water_depth: float = field(validator=gt_zero) + distance_to_shore: float = field(validator=gt_zero) + number_rows: int = field(validator=gt_zero) + device_spacing: float = field(validator=gt_zero) + row_spacing: Optional[float] = field(default=None) + cable_system_overbuild: float = field(default=10., validator=range_val(0, 100)) + + +@define +class MHKCosts(BaseClass): """ A class for calculating the costs associated with Marine Hydrokinetic (MHK) energy systems. This class initializes and configures cost calculations for MHK systems based on provided input parameters. It uses the PySAM library for cost modeling which is based on the [Sandia Reference Model Project](https://energy.sandia.gov/programs/renewable-energy/water-power/projects/reference-model-project-rmp/). - """ - - def __init__(self, mhk_config: dict, cost_model_inputs: dict): - """ - Initialize MHKCosts class. - Args: - mhk_config: A dictionary containing MHK system configuration parameters. - Required keys: - device_rating_kw (float): Rated power of the MHK device in - kilowatts. - num_devices (int): Number of MHK devices in the system. - - cost_model_inputs: A dictionary containing input parameters for cost - modeling. - - Required keys: - reference_model_num (int): Reference model number from Sandia - Project (3, 5, or 6). - water_depth (float): Water depth in meters. - distance_to_shore (float): Distance to shore in meters. - number_rows (float): Number of rows in the device layout. - Optional keys: - row_spacing (float): Spacing between rows in meters - (default 'device_spacing') - cable_system_overbuild (float): Cable system overbuild percentage - (default 10%) + mhk_config: MHK system configuration parameters. + cost_model_inputs: Input parameters for cost modeling. Raises: ValueError: If any of the required keys in `mhk_config` or `cost_model_inputs` are missing. - """ - required_keys = [ - 'device_rating_kw', - 'num_devices', - 'reference_model_num', - 'water_depth', - 'distance_to_shore', - 'number_rows' - ] - - for key in required_keys: - if key not in mhk_config.keys() and key not in cost_model_inputs.keys(): - raise ValueError(f"'{key}' for MHKCosts") - + """ + mhk_config: "MHKConfig" + cost_model_inputs: MHKCostModelInputs + + _device_rated_power: float = field(init=False) + _number_devices: int = field(init=False) + _water_depth: float = field(init=False) + _distance_to_shore: float = field(init=False) + _number_rows: int = field(init=False) + _ref_model_num: str = field(init=False) + _device_spacing: float = field(init=False) + _row_spacing: float = field(init=False) + _cable_sys_overbuild: float = field(init=False) + + def __attrs_post_init__(self): self._cost_model = MhkCost.new() - self._device_rated_power = mhk_config['device_rating_kw'] - self._number_devices = mhk_config['num_devices'] - - self._water_depth = cost_model_inputs['water_depth'] - self._distance_to_shore = cost_model_inputs['distance_to_shore'] - - self._number_of_rows = cost_model_inputs['number_rows'] + self._device_rated_power = self.mhk_config.device_rating_kw + self._number_devices = self.mhk_config.num_devices + self._water_depth = self.cost_model_inputs.water_depth + self._distance_to_shore = self.cost_model_inputs.distance_to_shore + self._number_rows = self.cost_model_inputs.number_rows + self._device_spacing = self.cost_model_inputs.device_spacing + self._cable_sys_overbuild = self.cost_model_inputs.cable_system_overbuild - self._ref_model_num = "RM"+str(cost_model_inputs['reference_model_num']) + self._ref_model_num = "RM"+str(self.cost_model_inputs.reference_model_num) - self._device_spacing = cost_model_inputs['device_spacing'] - if 'row_spacing' not in cost_model_inputs.keys(): - self._row_spacing = cost_model_inputs['device_spacing'] + if self.cost_model_inputs.row_spacing is None: + self._row_spacing = self.cost_model_inputs.device_spacing else: - self._row_spacing = cost_model_inputs['row_spacing'] - if 'cable_system_overbuild' not in cost_model_inputs.keys(): - self._cable_sys_overbuild = 10 - else: - self._cable_sys_overbuild = cost_model_inputs['cable_system_overbuild'] + self._row_spacing = self.cost_model_inputs.row_spacing # Define a mapping of cost keys to their respective method and input keys - cost_keys_mapping = { + cost_keys_mapping: Dict[str, tuple] = { 'structural_assembly_cost_kw': ('structural_assembly_cost_method', 'structural_assembly_cost_input'), 'power_takeoff_system_cost_kw': ('power_takeoff_system_cost_method', 'power_takeoff_system_cost_input'), 'mooring_found_substruc_cost_kw': ('mooring_found_substruc_cost_method', 'mooring_found_substruc_cost_input'), @@ -92,12 +100,13 @@ def __init__(self, mhk_config: dict, cost_model_inputs: dict): # Loop through the cost keys and set the values accordingly for cost_key, (method_key, input_key) in cost_keys_mapping.items(): - if cost_key not in cost_model_inputs: + attr = getattr(self.cost_model_inputs, cost_key, None) + if attr is None: self._cost_model.value(method_key, 2) self._cost_model.value(input_key, 0) else: self._cost_model.value(method_key, 0) - self._cost_model.value(input_key, cost_model_inputs[cost_key]) + self._cost_model.value(input_key, attr) self.initialize() @@ -105,12 +114,15 @@ def initialize(self): self._cost_model.value("device_rated_power", self._device_rated_power) self._cost_model.value("system_capacity", self._cost_model.value("device_rated_power") * self._number_devices) - if self._number_devices < self._number_of_rows: + if self._row_spacing is None: + raise AttributeError("row_spacing must be provided") + + if self._number_devices < self._number_rows: raise Exception("number_of_rows exceeds number_devices") else: - if (self._number_devices/self._number_of_rows).is_integer(): + if (self._number_devices/self._number_rows).is_integer(): self._cost_model.value("devices_per_row", \ - self._number_devices / self._number_of_rows) + self._number_devices / self._number_rows) else: raise Exception("Layout must be square or rectangular. Modify 'number_rows' or 'num_devices'.") self._cost_model.value("lib_wave_device", self._ref_model_num) @@ -119,8 +131,8 @@ def initialize(self): # Inter-array cable length, m # The total length of cable used within the array of devices self._array_cable_length = (self._cost_model.value("devices_per_row") -1) * \ - (self._device_spacing * self._number_of_rows) \ - + self._row_spacing * (self._number_of_rows-1) + (self._device_spacing * self._number_rows) \ + + self._row_spacing * (self._number_rows-1) self._cost_model.value("inter_array_cable_length", self._array_cable_length) # Export cable length, m @@ -147,13 +159,14 @@ def system_capacity_by_num_devices(self, wave_size_kw): self.initialize() def simulate_costs(self): - self._cost_model.execute() + # TODO: what is the correct int_verbosity? + self._cost_model.execute(1) @property def device_rated_power(self): return self._device_rated_power - @ device_rated_power.setter + @device_rated_power.setter def device_rated_power(self, device_rate_power: float): self._device_rated_power = device_rate_power self.initialize() @@ -162,7 +175,7 @@ def device_rated_power(self, device_rate_power: float): def number_devices(self): return self._number_devices - @ number_devices.setter + @number_devices.setter def number_devices(self, number_devices: int): self._number_devices = number_devices self.initialize() diff --git a/hopp/simulation/technologies/mhk_wave_source.py b/hopp/simulation/technologies/mhk_wave_source.py index 4f78bce73..cf8adcf86 100644 --- a/hopp/simulation/technologies/mhk_wave_source.py +++ b/hopp/simulation/technologies/mhk_wave_source.py @@ -1,84 +1,86 @@ -from typing import Any, Union, Optional +from typing import Optional, List import PySAM.MhkWave as MhkWave +from attrs import define, field +from hopp.simulation.base import BaseClass + from hopp.simulation.technologies.power_source import PowerSource, SiteInfo, Sequence, logger from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel -from hopp.simulation.technologies.financial.mhk_cost_model import MHKCosts +from hopp.simulation.technologies.financial.mhk_cost_model import MHKCosts, MHKCostModelInputs +from hopp.utilities.validators import gt_zero, range_val #TODO: Add dispatch for Wave # hopp.dispatch.power_sources.wave_dispatch import WaveDispatch + +@define +class MHKConfig(BaseClass): + """ + Configuration class for MHKWavePlant. + + Args: + device_rating_kw: Rated power of the MHK device in kilowatts + num_devices: Number of MHK devices in the system + wave_power_matrix: Wave power matrix + fin_model: a financial model object to use instead of singleowner + model #TODO: Update with ProFAST + layout_mode: #TODO: Add layout_mode + loss_array_spacing: Array spacing loss in % (default: 0) + loss_resource_overprediction: Resource overprediction loss + in % (default: 0) + loss_transmission: Transmission loss in % (default: 0) + loss_downtime: Array/WEC downtime loss in % (default: 0) + loss_additional: Additional losses in % (default: 0) + wec_reference_model: + pto_type: + characteristic_diameter: + foundation_type: + mooring_type: + primary_struc_material: + """ + device_rating_kw: float = field(validator=gt_zero) + num_devices: int = field(validator=gt_zero) + wave_power_matrix: List[List[float]] + fin_model: CustomFinancialModel + loss_array_spacing: float = field(default=0., validator=range_val(0, 100)) + loss_resource_overprediction: float = field(default=0., validator=range_val(0, 100)) + loss_transmission: float = field(default=0., validator=range_val(0, 100)) + loss_downtime: float = field(default=0., validator=range_val(0, 100)) + loss_additional: float = field(default=0., validator=range_val(0, 100)) + + +@define class MHKWavePlant(PowerSource): - _system_model: MhkWave.MhkWave - _financial_model: Union[Any, CustomFinancialModel] - # _layout: - # _dispatch: - - def __init__( - self, - site: SiteInfo, - mhk_config: dict, - cost_model_inputs: Optional[dict] = None - ): - """ - Initialize MHKWavePlant. + """ + Marine Hydrokinetic (MHK) Wave Plant. - Args: - mhk_config: A dictionary containing MHK system configuration parameters. - - Required keys: - - device_rating_kw (float): Rated power of the MHK device in kilowatts - - num_devices (int): Number of MHK devices in the system - - wave_power_matrix (Sequence): Wave power matrix - - fin_model: a financial model object to use instead of singleowner - model #TODO: Update with ProFAST - - layout_mode: #TODO: Add layout_mode - - Optional keys: - - loss_array_spacing (float): Array spacing loss in % (default: 0) - - loss_resource_overprediction (float): Resource overprediction loss - in % (default: 0) - - loss_transmission (float): Transmission loss in % (default: 0) - - loss_downtime (float): Array/WEC downtime loss in % (default: 0) - - loss_additional (float): Additional losses in % (default: 0) - - cost_model_inputs: An optional dictionary containing input parameters for - cost modeling. - - - Required keys - - reference_model_num (int): Reference model number from Sandia - Project (3, 5, or 6). - - water_depth (float): Water depth in meters - - distance_to_shore (float): Distance to shore in meters - - number_rows (int): Number of rows in the device layout - - Optional keys - - row_spacing (float): Spacing between rows in meters - (default 'device_spacing') - - cable_system_overbuild (float): Cable system overbuild percentage - (default 10%) + Args: + site: Site information + config: MHK system configuration parameters + cost_model_inputs: An optional dictionary containing input parameters for + cost modeling. """ - self.mhk_config = mhk_config - - required_keys = ['device_rating_kw', 'num_devices', 'wave_power_matrix'] + site: SiteInfo + config: MHKConfig + cost_model_inputs: Optional[MHKCostModelInputs] = field(default=None) + config_name: str = field(default="MhkWave") - for key in required_keys: - if key not in mhk_config: - raise ValueError(f"'{key}' required for MHKWavePlant") + mhk_costs: Optional[MHKCosts] = field(init=False) - self.config_name = "MhkWave" + def __attrs_post_init__(self): system_model = MhkWave.new() - if 'fin_model' in mhk_config.keys(): - financial_model = self.import_financial_model(mhk_config['fin_model'], system_model, self.config_name) + if self.config.fin_model is not None: + financial_model = self.import_financial_model(self.config.fin_model, system_model, self.config_name) else: raise NotImplementedError - if cost_model_inputs != None: - self.mhk_costs = MHKCosts(mhk_config,cost_model_inputs) + if self.cost_model_inputs is not None: + self.mhk_costs = MHKCosts(self.config, self.cost_model_inputs) else: self.mhk_costs = None - super().__init__("MHKWavePlant", site, system_model, financial_model) + super().__init__("MHKWavePlant", self.site, system_model, financial_model) # Set wave resource model choice system_model.MHKWave.wave_resource_model_choice = 1 # Time-series data=1 JPD=0 @@ -89,43 +91,30 @@ def __init__( setattr(system_model.MHKWave, attribute, self.site.wave_resource.data[attribute]) # System parameter inputs - self._system_model.value("device_rated_power", mhk_config['device_rating_kw']) - self._system_model.value("number_devices", mhk_config['num_devices']) - self._system_model.value("wave_power_matrix", mhk_config['wave_power_matrix']) + self._system_model.value("device_rated_power", self.config.device_rating_kw) + self._system_model.value("number_devices", self.config.num_devices) + self._system_model.value("wave_power_matrix", self.config.wave_power_matrix) # Losses loss_attributes = ['loss_array_spacing', 'loss_downtime', 'loss_resource_overprediction', 'loss_transmission', 'loss_additional'] for attribute in loss_attributes: - if attribute in mhk_config.keys(): - setattr(self._system_model.MHKWave, attribute, mhk_config[attribute]) + if attribute in self.config.as_dict().keys(): + attr = getattr(self.config, attribute) + setattr(self._system_model.MHKWave, attribute, attr) else: setattr(self._system_model.MHKWave, attribute, 0) - def create_mhk_cost_calculator(self, cost_model_inputs: dict): + def create_mhk_cost_calculator(self, cost_model_inputs: MHKCostModelInputs): """ Instantiates MHKCosts, cost calculator for MHKWavePlant. Args: - cost_model_inputs: A dictionary containing input parameters for cost - modeling. - - Required keys: - - reference_model_num (int): Reference model number from Sandia - Project (3, 5, or 6). - - water_depth (float): Water depth in meters - - distance_to_shore (float): Distance to shore in meters - - number_rows (int): Number of rows in the device layout - Optional keys: - - row_spacing (float): Spacing between rows in meters - (default 'device_spacing') - - cable_system_overbuild (float): Cable system overbuild percentage - (default 10%) - + cost_model_inputs: Input parameters for cost modeling. """ - self.mhk_costs = MHKCosts(self.mhk_config, cost_model_inputs) + self.mhk_costs = MHKCosts(self.config, cost_model_inputs) - def calculate_total_installed_cost(self): + def calculate_total_installed_cost(self) -> float: if self.mhk_costs is None: raise AttributeError("mhk_costs must be set before calling this method.") @@ -152,9 +141,9 @@ def calculate_total_installed_cost(self): total_installed_cost = capex+bos+elec_infrastruc_costs+financial - return self._financial_model.value("total_installed_cost",total_installed_cost) + return self._financial_model.value("total_installed_cost", total_installed_cost) - def system_capacity_by_num_devices(self, wave_size_kw): + def system_capacity_by_num_devices(self, wave_size_kw: float): """ Sets the system capacity by adjusting the number of devices """ @@ -167,10 +156,10 @@ def simulate(self, interconnect_kw: float, project_life: int = 25, lifetime_sim= Run the system and financial model Args: - interconnect_kw (float): grid interconnect - project_life (int): Number of years in the analysis period (expected + interconnect_kw: grid interconnect + project_life: Number of years in the analysis period (expected project lifetime) - lifetime_sim (bool): + lifetime_sim: For simulation modules which support simulating each year of the project_life, whether or not to do so; otherwise the first year data is repeated @@ -180,27 +169,27 @@ def simulate(self, interconnect_kw: float, project_life: int = 25, lifetime_sim= super().simulate(interconnect_kw, project_life) @property - def device_rated_power(self): + def device_rated_power(self) -> float: return self._system_model.MHKWave.device_rated_power - @ device_rated_power.setter + @device_rated_power.setter def device_rated_power(self, device_rate_power: float): self._system_model.MHKWave.device_rated_power = device_rate_power if self.mhk_costs != None: self.mhk_costs.device_rated_power = device_rate_power @property - def number_devices(self): + def number_devices(self) -> int: return self._system_model.MHKWave.number_devices - @ number_devices.setter + @number_devices.setter def number_devices(self, number_devices: int): self._system_model.MHKWave.number_devices = number_devices if self.mhk_costs != None: self.mhk_costs.number_devices = number_devices @property - def wave_power_matrix(self): + def wave_power_matrix(self) -> List[List[float]]: return self._system_model.MHKWave.wave_power_matrix @wave_power_matrix.setter @@ -211,7 +200,7 @@ def wave_power_matrix(self, wave_power_matrix: Sequence): self._system_model.MHKWave.wave_power_matrix = wave_power_matrix @property - def system_capacity_kw(self): + def system_capacity_kw(self) -> float: self._system_model.value("system_capacity", self._system_model.MHKWave.device_rated_power * self._system_model.MHKWave.number_devices) return self._system_model.value("system_capacity") diff --git a/tests/hopp/input/wave/wave_device.yaml b/tests/hopp/input/wave/wave_device.yaml index 8e8bf2514..b60d7bed8 100644 --- a/tests/hopp/input/wave/wave_device.yaml +++ b/tests/hopp/input/wave/wave_device.yaml @@ -1,13 +1,13 @@ # RM3 Heaving Buoy # General device info -wec_reference_model: "RM3" -pto_type: "Hydraulic Drivetrain" -characteristic_diameter: 20 #[m] -unballasted_structural_mass: 687 -foundation_type: "floating" -mooring_type: "slack mooring" -primary_struc_material: "A36 Steel" +# wec_reference_model: "RM3" +# pto_type: "Hydraulic Drivetrain" +# characteristic_diameter: 20 #[m] +# unballasted_structural_mass: 687 +# foundation_type: "floating" +# mooring_type: "slack mooring" +# primary_struc_material: "A36 Steel" device_rating_kw: 286 #[kW] wave_power_matrix: diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index 3bf67ef81..997545c80 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -18,6 +18,7 @@ from hopp.simulation.technologies.grid import Grid from hopp.simulation.technologies.layout.pv_design_utils import size_electrical_parameters from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel +from hopp.simulation.technologies.financial.mhk_cost_model import MHKCostModelInputs from tests.hopp.utils import create_default_site_info @fixture @@ -91,7 +92,7 @@ def wavesite(): 'num_devices': 10, 'wave_power_matrix': mhk_config['wave_power_matrix'], 'fin_model': CustomFinancialModel(default_fin_config) - }, + }, 'trough': { 'cycle_capacity_kw': 15 * 1000, 'solar_multiple': 2.0, @@ -136,24 +137,25 @@ def wavesite(): def test_hybrid_wave_only(wavesite,subtests): - wave_only_technologies = {'wave': technologies['wave'], - 'grid': { - 'interconnect_kw': interconnection_size_kw, - 'fin_model': CustomFinancialModel(default_fin_config), - } + wave_only_technologies = { + 'wave': technologies['wave'], + 'grid': { + 'interconnect_kw': interconnection_size_kw, + 'fin_model': CustomFinancialModel(default_fin_config), } + } # TODO once the financial model is implemented, romove the line immediately following this comment and un-indent the rest of the test hybrid_plant = HybridSimulation(wave_only_technologies, wavesite) - cost_model_inputs = { - 'reference_model_num':3, - 'water_depth': 100, - 'distance_to_shore': 80, - 'number_rows': 10, - 'device_spacing':600, - 'row_spacing': 600, - 'cable_system_overbuild': 20 - } + cost_model_inputs = MHKCostModelInputs.from_dict({ + 'reference_model_num':3, + 'water_depth': 100, + 'distance_to_shore': 80, + 'number_rows': 10, + 'device_spacing':600, + 'row_spacing': 600, + 'cable_system_overbuild': 20 + }) assert hybrid_plant.wave is not None hybrid_plant.wave.create_mhk_cost_calculator(cost_model_inputs) diff --git a/tests/hopp/test_wave.py b/tests/hopp/test_wave.py index 0775aba30..2acbfccf7 100644 --- a/tests/hopp/test_wave.py +++ b/tests/hopp/test_wave.py @@ -5,35 +5,12 @@ from yamlinclude import YamlIncludeConstructor from hopp.simulation.technologies.sites import SiteInfo -from hopp.simulation.technologies.mhk_wave_source import MHKWavePlant +from hopp.simulation.technologies.mhk_wave_source import MHKWavePlant, MHKConfig +from hopp.simulation.technologies.financial.mhk_cost_model import MHKCostModelInputs from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel -@fixture -def mhk_config(): - YamlIncludeConstructor.add_to_loader_class(loader_class=yaml.FullLoader, base_dir=Path(__file__).absolute()) - mhk_yaml_path = Path(__file__).absolute().parent.parent.parent / "tests" / "hopp" / "input" / "wave" / "wave_device.yaml" - with open(Path(mhk_yaml_path), 'r') as stream: - mhk_config = yaml.safe_load(stream) - return mhk_config - -@fixture -def waveplant(): - data = { - "lat": 44.6899, - "lon": 124.1346, - "year": 2010, - "tz": -7, - } - - wave_resource_file = Path(__file__).absolute().parent.parent.parent / "resource_files" / "wave" / "Wave_resource_timeseries.csv" - site = SiteInfo(data, solar=False, wind=False, wave=True, wave_resource_file=wave_resource_file) - - YamlIncludeConstructor.add_to_loader_class(loader_class=yaml.FullLoader, base_dir=Path(__file__).absolute()) - mhk_yaml_path = Path(__file__).absolute().parent.parent.parent / "tests" / "hopp" / "input" / "wave" / "wave_device.yaml" - with open(Path(mhk_yaml_path), 'r') as stream: - mhk_config = yaml.safe_load(stream) - - default_fin_config = { +# TODO: I'm seeing this copied around in tests, let's refactor to a module +default_fin_config = { 'batt_replacement_schedule_percent': [0], 'batt_bank_replacement': [0], 'batt_replacement_option': 0, @@ -54,20 +31,66 @@ def waveplant(): 'degradation': [0], 'ppa_price_input': [25], 'ppa_escalation': 2.5 +} + +@fixture +def site(): + data = { + "lat": 44.6899, + "lon": 124.1346, + "year": 2010, + "tz": -7, } - fiancial_model = {'fin_model': CustomFinancialModel(default_fin_config)} - mhk_config.update(fiancial_model) + wave_resource_file = Path(__file__).absolute().parent.parent.parent / "resource_files" / "wave" / "Wave_resource_timeseries.csv" + site = SiteInfo(data, solar=False, wind=False, wave=True, wave_resource_file=wave_resource_file) + + return site + +@fixture +def mhk_config(): + YamlIncludeConstructor.add_to_loader_class(loader_class=yaml.FullLoader, base_dir=Path(__file__).absolute()) + mhk_yaml_path = Path(__file__).absolute().parent.parent.parent / "tests" / "hopp" / "input" / "wave" / "wave_device.yaml" + with open(Path(mhk_yaml_path), 'r') as stream: + mhk_config = yaml.safe_load(stream) + return mhk_config + +@fixture +def waveplant(mhk_config, site): + financial_model = {'fin_model': CustomFinancialModel(default_fin_config)} + mhk_config.update(financial_model) + config = MHKConfig.from_dict(mhk_config) - cost_model_input = { - 'reference_model_num':3, - 'water_depth': 100, - 'distance_to_shore': 80, - 'number_rows': 10, - 'device_spacing':600, - 'row_spacing': 600, - 'cable_system_overbuild': 20 - } - return MHKWavePlant(site,mhk_config,cost_model_input) + cost_model_input = MHKCostModelInputs.from_dict({ + 'reference_model_num':3, + 'water_depth': 100, + 'distance_to_shore': 80, + 'number_rows': 10, + 'device_spacing':600, + 'row_spacing': 600, + 'cable_system_overbuild': 20 + }) + return MHKWavePlant(site, config, cost_model_input) + + +def test_mhk_config(mhk_config, subtests): + with subtests.test("with basic params"): + financial_model = {'fin_model': CustomFinancialModel(default_fin_config)} + mhk_config.update(financial_model) + + config = MHKConfig.from_dict(mhk_config) + + assert config.device_rating_kw == 286. + assert config.num_devices == 100 + assert config.wave_power_matrix == mhk_config["wave_power_matrix"] + assert config.fin_model is not None + + # defaults + assert config.loss_array_spacing == 0. + assert config.loss_resource_overprediction == 0. + assert config.loss_transmission == 0. + assert config.loss_downtime == 0. + assert config.loss_additional == 0. + def test_system_outputs(waveplant,subtests): # Test to see if there have been changes to PySAM MhkWave model and it is able to handle 1-hr @@ -126,28 +149,28 @@ def test_changing_wave_power_matrix(waveplant): waveplant.number_devices = 100 waveplant.device_rated_power = 360 waveplant.wave_power_matrix = [ - [0, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 10.5, 11.5, 12.5, 13.5, 14.5, 15.5, 16.5, 17.5, 18.5, 19.5, 20.5], - [0.25, 0, 0, 0, 0, 4.8, 6.7, 7.9, 9.3, 10.2, 10.1, 9.7, 9, 8.8, 7.6, 7.3, 6.4, 5.6, 5, 4.5, 4, 0], - [0.75, 0, 0, 0, 0, 12.3, 16.5, 18.8, 21.2, 22.9, 22.2, 20.9, 19.4, 18.7, 16.5, 16, 14.2, 12.8, 11.5, 10.4, 9.4, 0], - [1.25, 0, 0, 0, 0, 31.8, 40.7, 44.6, 48.5, 51.7, 48.8, 45.1, 41.8, 40.1, 36.2, 35.1, 31.9, 29.2, 26.5, 24.3, 22, 0], - [1.75, 0, 0, 0, 0, 58.3, 72.3, 77.1, 81.7, 86.5, 80.8, 74, 69.7, 66.7, 59.7, 57.6, 52.7, 48.7, 44.5, 41.1, 37.6, 0], - [2.25, 0, 0, 0, 0, 91.3, 110.4, 115.7, 119.3, 126.5, 117.3, 107.9, 102, 97.1, 86.4, 82.6, 75.6, 70.5, 64.7, 60.3, 55.3, 0], - [2.75, 0, 0, 0, 0, 130.5, 154.9, 160, 162.7, 171.7, 158.5, 145.4, 137.5, 130.4, 115.6, 109.7, 101.4, 94.6, 86.6, 80.8, 74, 0], - [3.25, 0, 0, 0, 0, 174.9, 204.4, 208.9, 210.4, 220.5, 202.7, 185.4, 175.4, 165.9, 148, 140.3, 129.7, 120.5, 110.1, 102.2, 93.4, 0], - [3.75, 0, 0, 0, 0, 223.9, 258.5, 261.9, 261.6, 272.4, 249.5, 227.7, 215.3, 204.5, 183.2, 173, 159.8, 147.9, 134.8, 124.8, 113.7, 0], - [4.25, 0, 0, 0, 0, 277.2, 316.8, 318.5, 316, 327, 298.4, 271.6, 257.2, 245.5, 220.2, 207.3, 191.5, 177.1, 161.8, 149.7, 136.8, 0], - [4.75, 0, 0, 0, 0, 334.5, 360, 360, 360, 360, 349.4, 317.2, 302.2, 288.2, 258.7, 243.1, 225.4, 208.6, 190.3, 176.1, 160.7, 0], - [5.25, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 348.9, 332.4, 298.6, 280.1, 261.3, 241.4, 220, 203.3, 185.2, 0], - [5.75, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 339.7, 319.1, 298.4, 275.5, 250.8, 231.5, 210.7, 0], - [6.25, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 340.8, 314.3, 285.8, 263.5, 239.7, 0], - [6.75, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 358.6, 325.8, 300.1, 272.6, 0], - [7.25, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 341.6, 310.1, 0], - [7.75, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 352.8, 0], - [8.25, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 0], - [8.75, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 0], - [9.25, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 0], - [9.75, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 0] - ] + [0, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 10.5, 11.5, 12.5, 13.5, 14.5, 15.5, 16.5, 17.5, 18.5, 19.5, 20.5], + [0.25, 0, 0, 0, 0, 4.8, 6.7, 7.9, 9.3, 10.2, 10.1, 9.7, 9, 8.8, 7.6, 7.3, 6.4, 5.6, 5, 4.5, 4, 0], + [0.75, 0, 0, 0, 0, 12.3, 16.5, 18.8, 21.2, 22.9, 22.2, 20.9, 19.4, 18.7, 16.5, 16, 14.2, 12.8, 11.5, 10.4, 9.4, 0], + [1.25, 0, 0, 0, 0, 31.8, 40.7, 44.6, 48.5, 51.7, 48.8, 45.1, 41.8, 40.1, 36.2, 35.1, 31.9, 29.2, 26.5, 24.3, 22, 0], + [1.75, 0, 0, 0, 0, 58.3, 72.3, 77.1, 81.7, 86.5, 80.8, 74, 69.7, 66.7, 59.7, 57.6, 52.7, 48.7, 44.5, 41.1, 37.6, 0], + [2.25, 0, 0, 0, 0, 91.3, 110.4, 115.7, 119.3, 126.5, 117.3, 107.9, 102, 97.1, 86.4, 82.6, 75.6, 70.5, 64.7, 60.3, 55.3, 0], + [2.75, 0, 0, 0, 0, 130.5, 154.9, 160, 162.7, 171.7, 158.5, 145.4, 137.5, 130.4, 115.6, 109.7, 101.4, 94.6, 86.6, 80.8, 74, 0], + [3.25, 0, 0, 0, 0, 174.9, 204.4, 208.9, 210.4, 220.5, 202.7, 185.4, 175.4, 165.9, 148, 140.3, 129.7, 120.5, 110.1, 102.2, 93.4, 0], + [3.75, 0, 0, 0, 0, 223.9, 258.5, 261.9, 261.6, 272.4, 249.5, 227.7, 215.3, 204.5, 183.2, 173, 159.8, 147.9, 134.8, 124.8, 113.7, 0], + [4.25, 0, 0, 0, 0, 277.2, 316.8, 318.5, 316, 327, 298.4, 271.6, 257.2, 245.5, 220.2, 207.3, 191.5, 177.1, 161.8, 149.7, 136.8, 0], + [4.75, 0, 0, 0, 0, 334.5, 360, 360, 360, 360, 349.4, 317.2, 302.2, 288.2, 258.7, 243.1, 225.4, 208.6, 190.3, 176.1, 160.7, 0], + [5.25, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 348.9, 332.4, 298.6, 280.1, 261.3, 241.4, 220, 203.3, 185.2, 0], + [5.75, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 339.7, 319.1, 298.4, 275.5, 250.8, 231.5, 210.7, 0], + [6.25, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 340.8, 314.3, 285.8, 263.5, 239.7, 0], + [6.75, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 358.6, 325.8, 300.1, 272.6, 0], + [7.25, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 341.6, 310.1, 0], + [7.75, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 352.8, 0], + [8.25, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 0], + [8.75, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 0], + [9.25, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 0], + [9.75, 0, 0, 0, 0, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 360, 0] + ] waveplant.simulate(25) assert waveplant.annual_energy_kwh == pytest.approx(160673260.0,0) From 84ce9109b74261684df12a12ed62b69a224b7628 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Tue, 10 Oct 2023 15:32:52 -0700 Subject: [PATCH 27/46] Update Wave docs --- .../hopp/simulation/technologies/mhk_wave_source.rst | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/docs/hopp/simulation/technologies/mhk_wave_source.rst b/docs/hopp/simulation/technologies/mhk_wave_source.rst index 75972adcd..891d02614 100644 --- a/docs/hopp/simulation/technologies/mhk_wave_source.rst +++ b/docs/hopp/simulation/technologies/mhk_wave_source.rst @@ -9,3 +9,15 @@ MHK Wave Generator class .. autoclass:: hopp.simulation.technologies.mhk_wave_source.MHKWavePlant :members: :undoc-members: + +.. autoclass:: hopp.simulation.technologies.mhk_wave_source.MHKConfig + :members: + :undoc-members: + +.. autoclass:: hopp.simulation.technologies.financial.mhk_cost_model.MHKCosts + :members: + :undoc-members: + +.. autoclass:: hopp.simulation.technologies.financial.mhk_cost_model.MHKCostModelInputs + :members: + :undoc-members: \ No newline at end of file From f33b65e04750d58231b1530c8c2a070498f8fc06 Mon Sep 17 00:00:00 2001 From: kbrunik Date: Wed, 11 Oct 2023 15:04:20 -0700 Subject: [PATCH 28/46] updated floris visualization. --- examples/workshop/05-floris-wake-model.ipynb | 118 ++----------------- 1 file changed, 12 insertions(+), 106 deletions(-) diff --git a/examples/workshop/05-floris-wake-model.ipynb b/examples/workshop/05-floris-wake-model.ipynb index 378c3adb3..1c46443b1 100644 --- a/examples/workshop/05-floris-wake-model.ipynb +++ b/examples/workshop/05-floris-wake-model.ipynb @@ -19,14 +19,14 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-10-06T13.50.54.727737.log\n" + "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-10-11T14.47.21.822991.log\n" ] } ], @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -78,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -97,7 +97,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -121,44 +121,14 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", + "image/png": 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"text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -170,12 +140,7 @@ "import matplotlib.pyplot as plt\n", "from floris.tools import FlorisInterface\n", "import floris.tools.visualization as wakeviz\n", - "from floris.tools.visualization import visualize_cut_plane\n", - "from floris.tools.visualization import plot_rotor_values\n", - "from floris.tools.visualization import (\n", - " calculate_horizontal_plane_with_turbines,\n", - " visualize_cut_plane,\n", - ")\n", + "\n", "\n", "fi = FlorisInterface(\"inputs/floris/gch.yaml\")\n", "fi.reinitialize(wind_speeds=[np.round(np.average(wind_speed), decimals=3)])\n", @@ -184,71 +149,12 @@ " x_resolution=200,\n", " y_resolution=100,\n", " height=90.0,\n", - " yaw_angles=np.array([[[25.,0.,0.,0.]]]),\n", - ")\n", - "\n", - "y_plane = fi.calculate_y_plane(\n", - " x_resolution=200,\n", - " z_resolution=100,\n", - " crossstream_dist=0.0,\n", - " yaw_angles=np.array([[[25.,0.,0.,0.]]]),\n", - ")\n", - "cross_plane = fi.calculate_cross_plane(\n", - " y_resolution=100,\n", - " z_resolution=100,\n", - " downstream_dist=630.0,\n", - " yaw_angles=np.array([[[25.,0.,0.,0.]]]),\n", + " # yaw_angles=np.array([[[25.,0.,0.,0.]]]),\n", ")\n", "\n", - "fig, ax_list = plt.subplots(3, 1, figsize=(10, 8))\n", - "ax_list = ax_list.flatten()\n", - "wakeviz.visualize_cut_plane(horizontal_plane, ax=ax_list[0], title=\"Horizontal\")\n", - "wakeviz.visualize_cut_plane(y_plane, ax=ax_list[1], title=\"Streamwise profile\")\n", - "wakeviz.visualize_cut_plane(cross_plane, ax=ax_list[2], title=\"Spanwise profile\")\n", + "fig, ax_list = plt.subplots(1, 1, figsize=(10, 8))\n", "\n", - "horizontal_plane_scan_turbine = calculate_horizontal_plane_with_turbines(\n", - " fi,\n", - " x_resolution=20,\n", - " y_resolution=10,\n", - " yaw_angles=np.array([[[25.,0.,0.,0.]]]),\n", - ")\n", - "\n", - "fig, ax = plt.subplots()\n", - "visualize_cut_plane(\n", - " horizontal_plane_scan_turbine,\n", - " ax=ax,\n", - " title=\"Horizontal (coarse turbine scan method)\",\n", - ")\n", - "\n", - "fi.calculate_wake()\n", - "\n", - "fig, axes, _ , _ = wakeviz.plot_rotor_values(\n", - " fi.floris.flow_field.u,\n", - " wd_index=0,\n", - " ws_index=0,\n", - " n_rows=1,\n", - " n_cols=3,\n", - " return_fig_objects=True\n", - ")\n", - "fig.suptitle(\"Rotor Plane Visualization, Original Resolution\")\n", - "\n", - "solver_settings = {\n", - " \"type\": \"turbine_grid\",\n", - " \"turbine_grid_points\": 10\n", - "}\n", - "fi.reinitialize(solver_settings=solver_settings)\n", - "\n", - "fi.calculate_wake()\n", - "\n", - "fig, axes, _ , _ = wakeviz.plot_rotor_values(\n", - " fi.floris.flow_field.u,\n", - " wd_index=0,\n", - " ws_index=0,\n", - " n_rows=1,\n", - " n_cols=3,\n", - " return_fig_objects=True\n", - ")\n", - "fig.suptitle(\"Rotor Plane Visualization, 10x10 Resolution\")\n", + "wakeviz.visualize_cut_plane(horizontal_plane, ax=ax_list, title=\"Horizontal\")\n", "\n", "wakeviz.show_plots()" ] From b24d98f74599fac5a51fbabe2061bfa8b67cedfc Mon Sep 17 00:00:00 2001 From: kbrunik Date: Thu, 12 Oct 2023 08:46:15 -0700 Subject: [PATCH 29/46] start of example --- .../workshop/07-wind-solar-hydrogen.ipynb | 197 ++++++++++++++++++ 1 file changed, 197 insertions(+) create mode 100644 examples/workshop/07-wind-solar-hydrogen.ipynb diff --git a/examples/workshop/07-wind-solar-hydrogen.ipynb b/examples/workshop/07-wind-solar-hydrogen.ipynb new file mode 100644 index 000000000..0acd124ec --- /dev/null +++ b/examples/workshop/07-wind-solar-hydrogen.ipynb @@ -0,0 +1,197 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Simple Wind and Solar and Hydrogen Hybrid Plant Example\n", + "---\n", + "In this example, we will walk through the process of simulating a wind-solar hybrid plant with hydrogen production. We will simulate a hybrid system at a given location consisting of both wind and solar energy, and show how to use that renewable energy for hydrogen production." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Import Required Modules\n", + "We start by importing the necessary modules and setting up our working environment." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-10-12T07.52.39.428444.log\n" + ] + } + ], + "source": [ + "from hopp.simulation.hybrid_simulation import HybridSimulation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set Site Information\n", + "Set wind and solar resource data at plant location. In this example, we use the Flatirons site as an example location." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from hopp import ROOT_DIR\n", + "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", + "\n", + "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", + "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", + "\n", + "\n", + "site = SiteInfo(\n", + " flatirons_site,\n", + " solar_resource_file=DEFAULT_SOLAR_RESOURCE_FILE,\n", + " wind_resource_file=DEFAULT_WIND_RESOURCE_FILE,\n", + " solar=True,\n", + " wind=True,\n", + " wave=False\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define System Capacities\n", + "Specify the capacities of the solar, wind, and interconnection components of the hybrid system in megawatts (MW)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "solar_size_mw = 50\n", + "wind_size_mw = 50\n", + "interconnection_size_mw = 50" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define Technologies Configuration\n", + "Configure the characteristics of each technology in the system, including PV (solar), wind, and grid interconnection." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "technologies = {\n", + " 'pv': {\n", + " 'system_capacity_kw': solar_size_mw * 1000\n", + " },\n", + " 'wind': {\n", + " 'num_turbines': 10,\n", + " 'turbine_rating_kw': 5000\n", + " },\n", + " 'grid': {\n", + " 'interconnect_kw': interconnection_size_mw * 1000\n", + " }\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create the Hybrid Simulation Model\n", + "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant = HybridSimulation(technologies, site)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the Simulation\n", + "Simulate the hybrid renewable energy system for a specified number of years (in this case, 25 years)." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant.simulate(25)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Use the Renewable Energy to Produce Hydrogen\n", + "Take the renewable energy hourly profile from the `hybrid_plant` simulation to run the PEM electrolyzer model." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from hopp.simulation.technologies.hydrogen.electrolysis.PEM_H2_LT_electrolyzer_Clusters import PEM_H2_Clusters\n", + "\n", + "energy_to_electrolyzer_kw = hybrid_plant.grid._system_model.Outputs.system_pre_interconnect_kwac[0:8760]\n", + "electrolyzer_size_mw = 50\n", + "\n", + "PEM_H2_Clusters()" + ] + } + ], + "metadata": { + "interpreter": { + "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" + }, + "kernelspec": { + "display_name": "Python 3.8.17 ('storage')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.17" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} From a057e6517949777f5440a402416c224464ea984e Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Tue, 17 Oct 2023 12:28:30 -0700 Subject: [PATCH 30/46] Refactor WindPlant --- hopp/simulation/hybrid_simulation.py | 5 +- hopp/simulation/technologies/wind/floris.py | 30 ++-- hopp/simulation/technologies/wind_source.py | 145 ++++++++++++-------- tests/hopp/test_dispatch.py | 5 +- tests/hopp/test_layout.py | 22 +-- tests/hopp/test_reopt.py | 5 +- tests/hopp/test_wind.py | 19 ++- 7 files changed, 146 insertions(+), 85 deletions(-) diff --git a/hopp/simulation/hybrid_simulation.py b/hopp/simulation/hybrid_simulation.py index 683e0d241..d33bdfaf2 100644 --- a/hopp/simulation/hybrid_simulation.py +++ b/hopp/simulation/hybrid_simulation.py @@ -12,7 +12,7 @@ from hopp.simulation.technologies.sites.site_info import SiteInfo from hopp.simulation.technologies.pv_source import PVPlant, PVConfig from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant, DetailedPVConfig -from hopp.simulation.technologies.wind_source import WindPlant +from hopp.simulation.technologies.wind_source import WindPlant, WindConfig from hopp.simulation.technologies.tower_source import TowerConfig, TowerPlant from hopp.simulation.technologies.trough_source import TroughConfig, TroughPlant from hopp.simulation.technologies.mhk_wave_source import MHKWavePlant, MHKConfig @@ -168,7 +168,8 @@ def __init__(self, self.power_sources['pv'] = self.pv logger.info("Created HybridSystem.pv with system size {} mW".format(power_sources['pv'])) if 'wind' in power_sources.keys(): - self.wind = WindPlant(self.site, power_sources['wind']) + config = WindConfig.from_dict(power_sources['wind']) + self.wind = WindPlant(self.site, config=config) self.power_sources['wind'] = self.wind logger.info("Created HybridSystem.wind with system size {} mW".format(power_sources['wind'])) if 'wave' in power_sources.keys(): diff --git a/hopp/simulation/technologies/wind/floris.py b/hopp/simulation/technologies/wind/floris.py index fefdd913e..5a8997df1 100644 --- a/hopp/simulation/technologies/wind/floris.py +++ b/hopp/simulation/technologies/wind/floris.py @@ -1,6 +1,7 @@ # tools to add floris to the hybrid simulation class from attrs import define, field import csv +from typing import TYPE_CHECKING, Tuple import numpy as np from floris.tools import FlorisInterface @@ -9,19 +10,32 @@ from hopp.simulation.technologies.sites import SiteInfo from hopp.type_dec import resource_file_converter +# avoid circular dep +if TYPE_CHECKING: + from hopp.simulation.technologies.wind_source import WindConfig + @define class Floris(BaseClass): - config_dict: dict = field(converter=dict) site: SiteInfo = field() - timestep: tuple = field(default=(), converter=tuple) + config: "WindConfig" = field() + + _timestep: Tuple[int, int] = field(init=False) + fi: FlorisInterface = field(init=False) def __attrs_post_init__(self): - # floris_input_file = resource_file_converter(self.config_dict["simulation_input_file"]) - floris_input_file = self.config_dict["floris_config"] # DEBUG!!!!! + # floris_input_file = resource_file_converter(self.config["simulation_input_file"]) + floris_input_file = self.config.floris_config # DEBUG!!!!! + + if floris_input_file is None: + raise ValueError("A floris configuration must be provided") + if self.config.timestep is None: + raise ValueError("A timestep is required.") + # the above change is a temporary patch to bridge to refactor floris self.fi = FlorisInterface(floris_input_file) + self._timestep = self.config.timestep self.wind_resource_data = self.site.wind_resource.data self.speeds, self.wind_dirs = self.parse_resource_data() @@ -37,7 +51,7 @@ def __attrs_post_init__(self): self.wind_farm_xCoordinates = self.fi.layout_x self.wind_farm_yCoordinates = self.fi.layout_y self.nTurbs = len(self.wind_farm_xCoordinates) - self.turb_rating = self.config_dict["turbine_rating_kw"] + self.turb_rating = self.config.turbine_rating_kw self.wind_turbine_rotor_diameter = self.fi.floris.farm.rotor_diameters[0] self.system_capacity = self.nTurbs * self.turb_rating @@ -45,9 +59,9 @@ def __attrs_post_init__(self): self.wind_turbine_powercurve_powerout = [] # time to simulate - if len(self.timestep) > 0: - self.start_idx = self.timestep[0] - self.end_idx = self.timestep[1] + if len(self.config.timestep) > 0: + self.start_idx = self.config.timestep[0] + self.end_idx = self.config.timestep[1] else: self.start_idx = 0 self.end_idx = 8759 diff --git a/hopp/simulation/technologies/wind_source.py b/hopp/simulation/technologies/wind_source.py index f50a405ea..b20caea41 100644 --- a/hopp/simulation/technologies/wind_source.py +++ b/hopp/simulation/technologies/wind_source.py @@ -1,86 +1,121 @@ -from typing import Optional, Union, Sequence +from pathlib import Path +from typing import Optional, Tuple, Union, Sequence import PySAM.Windpower as Windpower import PySAM.Singleowner as Singleowner +from attrs import define, field +from hopp.simulation.base import BaseClass +from hopp.utilities.validators import gt_zero, contains from hopp.simulation.technologies.wind.floris import Floris from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.layout.wind_layout import WindLayout, WindBoundaryGridParameters -from hopp.simulation.technologies.dispatch.power_sources.wind_dispatch import WindDispatch +from hopp.simulation.technologies.financial import CustomFinancialModel from hopp.utilities.log import hybrid_logger as logger -class WindPlant(PowerSource): - _system_model: Union[Windpower.Windpower, Floris] - _financial_model: Singleowner.Singleowner - _layout: WindLayout - _dispatch: WindDispatch +@define +class WindConfig(BaseClass): + """ + Configuration class for WindPlant. - def __init__(self, - site: SiteInfo, - farm_config: dict, - rating_range_kw: tuple = (1000, 3000), - ): - """ - Set up a WindPlant + Converts nested dicts into relevant instances for layout and financial + configurations to accommodate HoppInterface workflow. - :param farm_config: dict, with keys ('num_turbines', 'turbine_rating_kw', 'rotor_diameter', 'hub_height', 'layout_mode', 'layout_params') - where layout_mode can be selected from the following: + Args: + num_turbines: number of turbines in the farm + turbine_rating_kw: turbine rating + rotor_diameter: turbine rotor diameter + hub_height: turbine hub height + layout_mode: - 'boundarygrid': regular grid with boundary turbines, requires WindBoundaryGridParameters as 'params' - 'grid': regular grid with dx, dy distance, 0 angle; does not require 'params' + model_name: which model to use. Options are 'floris' and 'pysam' + layout_params: layout configuration + rating_range_kw: allowable kw range of turbines, default is 1000 - 3000 kW + floris_config: Floris configuration, only used if `model_name` == 'floris' + timestep: Timestep (required for floris runs, otherwise optional) + fin_model: Financial model + """ + num_turbines: int = field(validator=gt_zero) + turbine_rating_kw: float = field(validator=gt_zero) + rotor_diameter: Optional[float] = field(default=None) + layout_params: Optional[Union[dict, WindBoundaryGridParameters]] = field(default=None) + hub_height: Optional[float] = field(default=None) + layout_mode: str = field(default="grid", validator=contains(["boundarygrid", "grid"])) + model_name: str = field(default="pysam", validator=contains(["pysam", "floris"])) + rating_range_kw: Tuple[int, int] = field(default=(1000, 3000)) + floris_config: Optional[Union[dict, str, Path]] = field(default=None) + timestep: Optional[Tuple[int, int]] = field(default=None) + fin_model: Optional[Union[dict, Singleowner.Singleowner, CustomFinancialModel]] = field(default=None) + + # converted + fin_model_inst: Optional[Union[Singleowner.Singleowner, CustomFinancialModel]] = field(init=False) + layout_params_inst: Optional[WindBoundaryGridParameters] = field(init=False) + + def __attrs_post_init__(self): + if isinstance(self.fin_model, str): + self.fin_model_inst = Singleowner.default(self.fin_model) + elif isinstance(self.fin_model, dict): + self.fin_model_inst = CustomFinancialModel(self.fin_model) + else: + self.fin_model_inst = self.fin_model + + if isinstance(self.layout_params, dict): + self.layout_params_inst = WindBoundaryGridParameters(**self.layout_params) + else: + self.layout_params_inst = self.layout_params + + if self.model_name == 'floris' and self.timestep is None: + raise ValueError("Timestep (Tuple[int, int]) required for floris") + + if self.layout_mode == 'boundarygrid' and self.layout_params is None: + raise ValueError("Parameters of WindBoundaryGridParameters required for boundarygrid layout mode") + +@define +class WindPlant(PowerSource): + site: SiteInfo + config: WindConfig + + config_name: str = field(init=False, default="WindPowerSingleOwner") + _rating_range_kw: Tuple[int, int] = field(init=False) - :param rating_range_kw: - allowable kw range of turbines, default is 1000 - 3000 kW + def __attrs_post_init__(self): """ - self.config_name = "WindPowerSingleOwner" - self._rating_range_kw = rating_range_kw + WindPlant - if 'model_name' in farm_config.keys(): - if farm_config['model_name'] == 'floris': - print('FLORIS is the system model...') - system_model = Floris(farm_config, site, timestep=farm_config['timestep']) - financial_model = Singleowner.default(self.config_name) - else: - raise NotImplementedError + Args: + site: Site information + config: Wind plant configuration + """ + self._rating_range_kw = self.config.rating_range_kw + + if self.config.model_name == 'floris': + print('FLORIS is the system model...') + system_model = Floris(self.site, self.config) + financial_model = Singleowner.default(self.config_name) else: system_model = Windpower.default(self.config_name) financial_model = Singleowner.from_existing(system_model, self.config_name) - if 'fin_model' in farm_config.keys(): - financial_model = self.import_financial_model(farm_config['fin_model'], system_model, self.config_name) + if self.config.fin_model_inst is not None: + financial_model = self.import_financial_model(self.config.fin_model_inst, system_model, self.config_name) - super().__init__("WindPlant", site, system_model, financial_model) + super().__init__("WindPlant", self.site, system_model, financial_model) self._system_model.value("wind_resource_data", self.site.wind_resource.data) - if 'layout_mode' not in farm_config.keys(): - layout_mode = 'grid' - else: - layout_mode = farm_config['layout_mode'] - - params: Optional[WindBoundaryGridParameters] = None - if layout_mode == 'boundarygrid': - if 'layout_params' not in farm_config.keys(): - raise ValueError("Parameters of WindBoundaryGridParameters required for boundarygrid layout mode") - else: - params: WindBoundaryGridParameters = farm_config['layout_params'] - - self._layout = WindLayout(site, system_model, layout_mode, params) - - self._dispatch: WindDispatch = None + self._layout = WindLayout(self.site, system_model, self.config.layout_mode, self.config.layout_params_inst) - if 'turbine_rating_kw' not in farm_config.keys(): - raise ValueError("Turbine rating required for WindPlant") + self._dispatch = None - if 'num_turbines' not in farm_config.keys(): - raise ValueError("Num Turbines required for WindPlant") + self.turb_rating = self.config.turbine_rating_kw + self.num_turbines = self.config.num_turbines - self.turb_rating = farm_config['turbine_rating_kw'] - self.num_turbines = farm_config['num_turbines'] - if 'hub_height' in farm_config.keys(): - self._system_model.Turbine.wind_turbine_hub_ht = farm_config['hub_height'] - if 'rotor_diameter' in farm_config.keys(): - self.rotor_diameter = farm_config['rotor_diameter'] + if self.config.hub_height is not None: + self._system_model.Turbine.wind_turbine_hub_ht = self.config.hub_height + if self.config.rotor_diameter is not None: + self.rotor_diameter = self.config.rotor_diameter @property def wake_model(self) -> str: diff --git a/tests/hopp/test_dispatch.py b/tests/hopp/test_dispatch.py index 3019478fc..b5cd408e5 100644 --- a/tests/hopp/test_dispatch.py +++ b/tests/hopp/test_dispatch.py @@ -4,7 +4,7 @@ from pyomo.opt import TerminationCondition from pyomo.util.check_units import assert_units_consistent -from hopp.simulation.technologies.wind_source import WindPlant +from hopp.simulation.technologies.wind_source import WindPlant, WindConfig from hopp.simulation.technologies.pv_source import PVPlant, PVConfig from hopp.simulation.technologies.tower_source import TowerPlant, TowerConfig from hopp.simulation.technologies.trough_source import TroughPlant, TroughConfig @@ -335,7 +335,8 @@ def test_wind_dispatch(site): dispatch_n_look_ahead = 48 - wind = WindPlant(site, technologies['wind']) + config = WindConfig.from_dict(technologies['wind']) + wind = WindPlant(site, config=config) model = pyomo.ConcreteModel(name='wind_only') model.forecast_horizon = pyomo.Set(initialize=range(dispatch_n_look_ahead)) diff --git a/tests/hopp/test_layout.py b/tests/hopp/test_layout.py index 13601217f..1779aec18 100644 --- a/tests/hopp/test_layout.py +++ b/tests/hopp/test_layout.py @@ -9,7 +9,7 @@ from shapely.ops import unary_union from shapely.geometry import Point, MultiLineString -from hopp.simulation.technologies.wind_source import WindPlant +from hopp.simulation.technologies.wind_source import WindPlant, WindConfig from hopp.simulation.technologies.pv_source import PVPlant, PVConfig from hopp.simulation.technologies.layout.hybrid_layout import HybridLayout, WindBoundaryGridParameters, PVGridParameters, get_flicker_loss_multiplier from hopp.simulation.technologies.layout.wind_layout_tools import create_grid @@ -73,7 +73,8 @@ def test_create_grid(site): def test_wind_layout(site): - wind_model = WindPlant(site, technology['wind']) + config = WindConfig.from_dict(technology['wind']) + wind_model = WindPlant(site, config=config) xcoords, ycoords = wind_model._layout.turb_pos_x, wind_model._layout.turb_pos_y expected_xcoords = [1498, 867, 525, 3, 658] @@ -101,10 +102,11 @@ def test_solar_layout(site): def test_hybrid_layout(site): - config = PVConfig.from_dict(technology['pv']) + pv_config = PVConfig.from_dict(technology['pv']) + wind_config = WindConfig.from_dict(technology['wind']) power_sources = { - 'wind': WindPlant(site, technology['wind']), - 'pv': PVPlant(site, config=config) + 'wind': WindPlant(site, config=wind_config), + 'pv': PVPlant(site, config=pv_config) } layout = HybridLayout(site, power_sources) @@ -121,10 +123,11 @@ def test_hybrid_layout(site): def test_hybrid_layout_rotated_array(site): - config = PVConfig.from_dict(technology['pv']) + pv_config = PVConfig.from_dict(technology['pv']) + wind_config = WindConfig.from_dict(technology['wind']) power_sources = { - 'wind': WindPlant(site, technology['wind']), - 'pv': PVPlant(site, config=config) + 'wind': WindPlant(site, config=wind_config), + 'pv': PVPlant(site, config=pv_config) } layout = HybridLayout(site, power_sources) @@ -171,8 +174,9 @@ def test_hybrid_layout_rotated_array(site): def test_hybrid_layout_wind_only(site): + config = WindConfig.from_dict(technology['wind']) power_sources = { - 'wind': WindPlant(site, technology['wind']), + 'wind': WindPlant(site, config=config), # 'solar': PVPlant(site, technology['solar']) } diff --git a/tests/hopp/test_reopt.py b/tests/hopp/test_reopt.py index 105feea3b..b80ea9f90 100644 --- a/tests/hopp/test_reopt.py +++ b/tests/hopp/test_reopt.py @@ -6,7 +6,7 @@ import responses from hopp.simulation.technologies.pv_source import PVPlant, PVConfig -from hopp.simulation.technologies.wind_source import WindPlant +from hopp.simulation.technologies.wind_source import WindPlant, WindConfig from hopp.simulation.technologies.reopt import REopt from tests import TEST_ROOT_DIR @@ -32,7 +32,8 @@ def test_ReOPT(): config = PVConfig.from_dict({'system_capacity_kw': 20000}) solar_model = PVPlant(site, config=config) - wind_model = WindPlant(site, {'num_turbines': 10, "turbine_rating_kw": 2000}) + wind_config = WindConfig.from_dict({'num_turbines': 10, "turbine_rating_kw": 2000}) + wind_model = WindPlant(site, config=wind_config) wind_model._system_model.Resource.wind_resource_filename = os.path.join( "data", "39.7555_-105.2211_windtoolkit_2012_60min_60m.srw") fin_model = so.default("GenericSystemSingleOwner") diff --git a/tests/hopp/test_wind.py b/tests/hopp/test_wind.py index 759ae4a3c..c6f90e29b 100644 --- a/tests/hopp/test_wind.py +++ b/tests/hopp/test_wind.py @@ -4,7 +4,7 @@ import PySAM.Windpower as windpower -from hopp.simulation.technologies.wind_source import WindPlant +from hopp.simulation.technologies.wind_source import WindPlant, WindConfig from tests.hopp.utils import create_default_site_info @fixture @@ -67,7 +67,8 @@ def test_wind_powercurve(): def test_changing_n_turbines(site): # test with gridded layout - model = WindPlant(site, {'num_turbines': 10, "turbine_rating_kw": 2000}) + config = WindConfig.from_dict({'num_turbines': 10, "turbine_rating_kw": 2000}) + model = WindPlant(site, config=config) assert(model.system_capacity_kw == 20000) for n in range(1, 20): model.num_turbines = n @@ -78,7 +79,8 @@ def test_changing_n_turbines(site): def test_changing_rotor_diam_recalc(site): - model = WindPlant(site, {'num_turbines': 10, "turbine_rating_kw": 2000}) + config = WindConfig.from_dict({'num_turbines': 10, "turbine_rating_kw": 2000}) + model = WindPlant(site, config=config) assert model.system_capacity_kw == 20000 diams = range(50, 70, 140) for d in diams: @@ -89,7 +91,8 @@ def test_changing_rotor_diam_recalc(site): def test_changing_turbine_rating(site): # powercurve scaling - model = WindPlant(site, {'num_turbines': 24, "turbine_rating_kw": 2000}) + config = WindConfig.from_dict({'num_turbines': 24, "turbine_rating_kw": 2000}) + model = WindPlant(site, config=config) n_turbs = model.num_turbines for n in range(1000, 3000, 150): model.turb_rating = n @@ -98,7 +101,8 @@ def test_changing_turbine_rating(site): def test_changing_powercurve(site): # with power curve recalculation requires diameter changes - model = WindPlant(site, {'num_turbines': 24, "turbine_rating_kw": 2000}) + config = WindConfig.from_dict({'num_turbines': 24, "turbine_rating_kw": 2000}) + model = WindPlant(site, config=config) n_turbs = model.num_turbines d_to_r = model.rotor_diameter / model.turb_rating for n in range(1000, 3001, 500): @@ -110,7 +114,8 @@ def test_changing_powercurve(site): def test_changing_system_capacity(site): # adjust number of turbines, system capacity won't be exactly as requested - model = WindPlant(site, {'num_turbines': 20, "turbine_rating_kw": 1000}) + config = WindConfig.from_dict({'num_turbines': 20, "turbine_rating_kw": 1000}) + model = WindPlant(site, config=config) rating = model.turb_rating for n in range(1000, 20000, 1000): model.system_capacity_by_num_turbines(n) @@ -118,7 +123,7 @@ def test_changing_system_capacity(site): assert model.system_capacity_kw == rating * round(n/rating) # adjust turbine rating first, system capacity will be exact - model = WindPlant(site, {'num_turbines': 20, "turbine_rating_kw": 1000}) + model = WindPlant(site, config=config) for n in range(40000, 60000, 1000): model.system_capacity_by_rating(n) assert model.system_capacity_kw == pytest.approx(n) From 252e92db6f1c001c7189f1824f1573881c56c7a1 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Wed, 11 Oct 2023 15:49:38 -0700 Subject: [PATCH 31/46] Update to convert nested dicts --- .../technologies/detailed_pv_plant.py | 10 ++-- .../technologies/mhk_wave_source.py | 21 +++++--- hopp/simulation/technologies/pv_source.py | 49 ++++++++++++++----- 3 files changed, 57 insertions(+), 23 deletions(-) diff --git a/hopp/simulation/technologies/detailed_pv_plant.py b/hopp/simulation/technologies/detailed_pv_plant.py index 88c946e09..8ee3751f1 100644 --- a/hopp/simulation/technologies/detailed_pv_plant.py +++ b/hopp/simulation/technologies/detailed_pv_plant.py @@ -61,8 +61,8 @@ class DetailedPVPlant(PowerSource): def __attrs_post_init__(self): self.system_model = Pvsam.default(self.config_name) - if self.config.fin_model is not None: - self.financial_model = self.import_financial_model(self.config.fin_model, self.system_model, self.config_name) + if self.config.fin_model_inst is not None: + self.financial_model = self.import_financial_model(self.config.fin_model_inst, self.system_model, self.config_name) else: self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) @@ -72,14 +72,14 @@ def __attrs_post_init__(self): self.system_model.SolarResource.solar_resource_data = self.site.solar_resource.data self.dc_degradation = [0] - if self.config.layout_model is not None: - self.layout = self.config.layout_model + if self.config.layout_model_inst is not None: + self.layout = self.config.layout_model_inst self.layout._system_model = self.system_model else: self.layout = PVLayout( self.site, self.system_model, - self.config.layout_params + self.config.layout_params_inst ) self.processed_assign() diff --git a/hopp/simulation/technologies/mhk_wave_source.py b/hopp/simulation/technologies/mhk_wave_source.py index cf8adcf86..0806c59c3 100644 --- a/hopp/simulation/technologies/mhk_wave_source.py +++ b/hopp/simulation/technologies/mhk_wave_source.py @@ -1,4 +1,4 @@ -from typing import Optional, List +from typing import Optional, List, Union import PySAM.MhkWave as MhkWave from attrs import define, field @@ -15,7 +15,8 @@ @define class MHKConfig(BaseClass): """ - Configuration class for MHKWavePlant. + Configuration class for MHKWavePlant. Also instantiates financial model from + config dict. Args: device_rating_kw: Rated power of the MHK device in kilowatts @@ -40,13 +41,22 @@ class MHKConfig(BaseClass): device_rating_kw: float = field(validator=gt_zero) num_devices: int = field(validator=gt_zero) wave_power_matrix: List[List[float]] - fin_model: CustomFinancialModel + fin_model: Union[dict, CustomFinancialModel] loss_array_spacing: float = field(default=0., validator=range_val(0, 100)) loss_resource_overprediction: float = field(default=0., validator=range_val(0, 100)) loss_transmission: float = field(default=0., validator=range_val(0, 100)) loss_downtime: float = field(default=0., validator=range_val(0, 100)) loss_additional: float = field(default=0., validator=range_val(0, 100)) + # instances + fin_model_inst: CustomFinancialModel = field(init=False) + + def __attrs_post_init__(self): + if isinstance(self.fin_model, dict): + self.fin_model_inst = CustomFinancialModel(self.fin_model) + else: + self.fin_model_inst = self.fin_model + @define class MHKWavePlant(PowerSource): @@ -70,10 +80,7 @@ class MHKWavePlant(PowerSource): def __attrs_post_init__(self): system_model = MhkWave.new() - if self.config.fin_model is not None: - financial_model = self.import_financial_model(self.config.fin_model, system_model, self.config_name) - else: - raise NotImplementedError + financial_model = self.import_financial_model(self.config.fin_model_inst, system_model, self.config_name) if self.cost_model_inputs is not None: self.mhk_costs = MHKCosts(self.config, self.cost_model_inputs) diff --git a/hopp/simulation/technologies/pv_source.py b/hopp/simulation/technologies/pv_source.py index f74c173d3..917f3d794 100644 --- a/hopp/simulation/technologies/pv_source.py +++ b/hopp/simulation/technologies/pv_source.py @@ -1,4 +1,4 @@ -from typing import Sequence, Optional +from typing import Sequence, Optional, Union from attrs import define, field import PySAM.Pvwattsv8 as Pvwatts @@ -8,6 +8,7 @@ from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.layout.pv_layout import PVLayout, PVGridParameters +from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel from hopp.simulation.base import BaseClass from hopp.utilities.validators import gt_zero @@ -15,7 +16,8 @@ @define class PVConfig(BaseClass): """ - Configuration class for PVPlant. + Configuration class for PVPlant. Converts nested dicts into relevant instances for + layout and financial configurations. Args: system_capacity_kw: Design system capacity @@ -23,15 +25,40 @@ class PVConfig(BaseClass): config should be used in a `DetailedPVPlant`. layout_params: Optional layout parameters layout_model: Optional layout model instance - fin_model: Optional financial model instance + fin_model: Optional financial model config. Can either be a string representing + a `Singleowner` default config, or a dict representing a + `CustomFinancialModel` """ system_capacity_kw: float = field(validator=gt_zero) use_pvwatts: bool = field(default=True) - layout_params: Optional[PVGridParameters] = field(default=None) - layout_model: Optional[PVLayout] = field(default=None) - fin_model: Optional[FinancialModelType] = field(default=None) + layout_params: Optional[Union[dict, PVGridParameters]] = field(default=None) + layout_model: Optional[Union[dict, PVLayout]] = field(default=None) + fin_model: Optional[Union[str, dict, FinancialModelType]] = field(default=None) + + # converted instances + fin_model_inst: Optional[FinancialModelType] = field(init=False) + layout_params_inst: Optional[PVGridParameters] = field(init=False) + layout_model_inst: Optional[PVLayout] = field(init=False) + + def __attrs_post_init__(self): + if isinstance(self.fin_model, str): + self.fin_model_inst = Singleowner.default(self.fin_model) + elif isinstance(self.fin_model, dict): + self.fin_model_inst = CustomFinancialModel(self.fin_model) + else: + self.fin_model_inst = self.fin_model + + if isinstance(self.layout_params, dict): + self.layout_params_inst = PVGridParameters(**self.layout_params) + else: + self.layout_params_inst = self.layout_params + + if isinstance(self.layout_model, dict): + self.layout_model_inst = PVLayout(**self.layout_model) + else: + self.layout_model_inst = self.layout_model @define @@ -55,8 +82,8 @@ class PVPlant(PowerSource): def __attrs_post_init__(self): self.system_model = Pvwatts.default(self.config_name) - if self.config.fin_model is not None: - self.financial_model = self.import_financial_model(self.config.fin_model, self.system_model, self.config_name) + if self.config.fin_model_inst is not None: + self.financial_model = self.import_financial_model(self.config.fin_model_inst, self.system_model, self.config_name) else: self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) @@ -67,11 +94,11 @@ def __attrs_post_init__(self): self.dc_degradation = [0] - if self.config.layout_model is not None: - self.layout = self.config.layout_model + if self.config.layout_model_inst is not None: + self.layout = self.config.layout_model_inst self.layout._system_model = self.system_model else: - self.layout = PVLayout(self.site, self.system_model, self.config.layout_params) + self.layout = PVLayout(self.site, self.system_model, self.config.layout_params_inst) # TODO: it seems like an anti-pattern to be doing this in each power source, # then assigning the relevant class using metaprogramming in From fbe9f4a5146fbbcb0891925acbc8d000c01812cf Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Tue, 17 Oct 2023 14:08:47 -0700 Subject: [PATCH 32/46] Update tests --- hopp/simulation/hopp.py | 40 +- hopp/simulation/hybrid_simulation.py | 338 +++++---- hopp/simulation/technologies/grid.py | 29 +- hopp/tools/hopp_interface.py | 15 +- tests/hopp/inputs/hybrid_run.yaml | 45 ++ .../{input => inputs}/wave/wave_device.yaml | 0 tests/hopp/test_hybrid.py | 703 +++++++++--------- 7 files changed, 670 insertions(+), 500 deletions(-) create mode 100644 tests/hopp/inputs/hybrid_run.yaml rename tests/hopp/{input => inputs}/wave/wave_device.yaml (100%) diff --git a/hopp/simulation/hopp.py b/hopp/simulation/hopp.py index f794c12c2..1cd824bf7 100644 --- a/hopp/simulation/hopp.py +++ b/hopp/simulation/hopp.py @@ -2,41 +2,53 @@ import yaml from attrs import define, field from pathlib import Path -from typing import Union +from typing import Optional, Union from hopp.simulation.base import BaseClass -from hopp.simulation.hybrid_simulation import HybridSimulation +from hopp.simulation.hybrid_simulation import HybridSimulation, TechnologiesConfig from hopp.simulation.technologies.sites import SiteInfo from hopp.utilities.utilities import load_yaml -hopp_path = Path(__file__).parent.parent.parent @define class Hopp(BaseClass): - name: str = field(converter=str) - config: dict = field(converter=dict) - site: SiteInfo = field() - technologies: dict = field(converter=dict) + site: Union[dict, SiteInfo] = field() + technologies: dict = field() + name: Optional[str] = field(converter=str, default="HOPP Simulation") + config: Optional[dict] = field(default=None) + + system: HybridSimulation = field(init=False) def __attrs_post_init__(self) -> None: # self.interconnection_size_mw = self.config['grid_config']['interconnection_size_mw'] + self.config = self.config or {} + + if isinstance(self.site, dict): + site = SiteInfo.from_dict(self.site) + else: + site = self.site + + tech_config = TechnologiesConfig.from_dict(self.technologies) self.system = HybridSimulation( - self.technologies, - self.site, + site, + tech_config, + self.config.get("dispatch_options"), + self.config.get("cost_info"), + self.config.get("simulation_options"), # interconnect_kw=self.interconnection_size_mw * 1000 ) - self.system.ppa_price = self.config['grid_config']['ppa_price'] - self.system.pv.dc_degradation = self.technologies['pv']['dc_degradation'] * 25 + # self.system.ppa_price = self.config['grid_config']['ppa_price'] + # self.system.pv.dc_degradation = self.technologies['pv']['dc_degradation'] * 25 - def simulate(self, project_life): - self.system.simulate(project_life) + def simulate(self, project_life: int = 25, lifetime_sim: bool = False): + self.system.simulate(project_life, lifetime_sim) # I/O @classmethod - def from_file(cls, input_file_path: Union[str, Path], filetype: str = None): + def from_file(cls, input_file_path: Union[str, Path], filetype: Optional[str] = None): """Creates an `Hopp` instance from an input file. Must be filetype YAML. Args: diff --git a/hopp/simulation/hybrid_simulation.py b/hopp/simulation/hybrid_simulation.py index d33bdfaf2..2f5646f64 100644 --- a/hopp/simulation/hybrid_simulation.py +++ b/hopp/simulation/hybrid_simulation.py @@ -1,4 +1,4 @@ -from typing import Sequence, Union +from typing import Dict, Optional, Sequence, Union from collections import OrderedDict import csv from pathlib import Path @@ -7,6 +7,7 @@ import numpy as np import PySAM.GenericSystem as GenericSystem import PySAM.Singleowner as Singleowner +from attrs import field, define from hopp.tools.analysis import create_cost_calculator from hopp.simulation.technologies.sites.site_info import SiteInfo @@ -17,14 +18,27 @@ from hopp.simulation.technologies.trough_source import TroughConfig, TroughPlant from hopp.simulation.technologies.mhk_wave_source import MHKWavePlant, MHKConfig from hopp.simulation.technologies.battery import Battery, BatteryConfig -from hopp.simulation.technologies.battery_stateless import BatteryStateless -from hopp.simulation.technologies.grid import Grid +from hopp.simulation.technologies.battery_stateless import BatteryStateless, BatteryStatelessConfig +from hopp.simulation.technologies.grid import Grid, GridConfig from hopp.simulation.technologies.reopt import REopt from hopp.simulation.technologies.layout.hybrid_layout import HybridLayout from hopp.simulation.technologies.dispatch.hybrid_dispatch_builder_solver import HybridDispatchBuilderSolver from hopp.utilities.log import hybrid_logger as logger +from hopp.simulation.base import BaseClass +PowerSourceTypes = Union[ + PVPlant, + DetailedPVPlant, + WindPlant, + MHKWavePlant, + TowerPlant, + TroughPlant, + Battery, + BatteryStateless, + Grid +] + class HybridSimulationOutput: """Class for creating :class:`HybridSimulation` output structure""" _keys = ("pv", "wind", "wave", "battery", "tower", "trough", "hybrid") @@ -37,10 +51,10 @@ def __init__(self, power_sources): Hybrid results are saved under the ``hybrid`` attribute and come from the ``grid`` model within :class:`HybridSimulation` """ - self.power_sources = power_sources + self.technologies = power_sources for k in self._keys: setattr(self, k, 0) - for k in self.power_sources.keys(): + for k in self.technologies.keys(): if k == 'grid': setattr(self, 'hybrid', 0) else: @@ -51,11 +65,11 @@ def create(self): :returns: new instance of class """ - return HybridSimulationOutput(self.power_sources) + return HybridSimulationOutput(self.technologies) def __repr__(self): repr_dict = {} - for k in self.power_sources.keys(): + for k in self.technologies.keys(): if k == 'grid': repr_dict['hybrid'] = self.hybrid else: @@ -76,58 +90,80 @@ def items(self): return zip(self.keys(), self.values()) -class HybridSimulation: - hybrid_system: GenericSystem.GenericSystem +@define +class TechnologiesConfig(BaseClass): + pv: Optional[Union[PVConfig, DetailedPVConfig]] = field(default=None) + wind: Optional[WindConfig] = field(default=None) # TODO + wave: Optional[MHKConfig] = field(default=None) + tower: Optional[TowerConfig] = field(default=None) + trough: Optional[TroughConfig] = field(default=None) + battery: Optional[Union[BatteryConfig, BatteryStatelessConfig]] = field(default=None) + grid: Optional[GridConfig] = field(default=None) - def __init__(self, - power_sources: dict, - site: SiteInfo, - dispatch_options=None, - cost_info=None, - simulation_options=None): + @classmethod + def from_dict(cls, data: dict): + """ + Instantiate based on nested input dict. + + Overrides parent `from_dict` to set up child configurations for each technology, + before calling parent. """ - Base class for simulating a hybrid power plant. - - Can be derived to add other sizing methods, financial analyses, methods for pre- or post-processing, etc. - - :param power_sources: nested ``dict``; i.e., ``{'pv': {'system_capacity_kw': float}}`` - Names of power sources to include and configuration dictionaries - For details on configurations dictionaries see: - - =============== ============================================= - Technology key Class for reference - =============== ============================================= - ``pv`` :class:`hybrid.pv_source.PVPlant` - ``wind`` :class:`hybrid.wind_source.WindPlant` - ``wave`` :class:`hybrid.wave_source.MHKWavePlant` - ``tower`` :class:`hybrid.tower_source.TowerPlant` - ``trough`` :class:`hybrid.trough_source.TroughPlant` - ``battery`` :class:`hybrid.battery.Battery` - ``grid`` :class:`hybrid.grid.Grid` - =============== ============================================= + config = {} + + if "pv" in data: + if "use_pvwatts" in data["pv"] and not data["pv"]["use_pvwatts"]: + config["pv"] = DetailedPVConfig.from_dict(data["pv"]) + else: + config["pv"] = PVConfig.from_dict(data["pv"]) + + if "wind" in data: + config["wind"] = WindConfig.from_dict(data["wind"]) + + if "wave" in data: + config["wave"] = MHKConfig.from_dict(data["wave"]) + + if "tower" in data: + config["tower"] = TowerConfig.from_dict(data["tower"]) + + if "trough" in data: + config["trough"] = TroughConfig.from_dict(data["trough"]) + + if "battery" in data: + if "tracking" in data["battery"] and not data["battery"]["tracking"]: + config["battery"] = BatteryStatelessConfig.from_dict(data["battery"]) + else: + config["battery"] = BatteryConfig.from_dict(data["battery"]) + + if "grid" in data: + config["grid"] = GridConfig.from_dict(data["grid"]) + + return super().from_dict(config) + + +@define +class HybridSimulation(BaseClass): + """ + Base class for simulating a hybrid power plant. + + Can be derived to add other sizing methods, financial analyses, methods for pre- or post-processing, etc. + + Args: + technologies: Power sources to include and their configurations The default PV technology model is PVWatts (Pvwattsv8). The detailed PV model can be used by setting: ``{'pv': {'use_pvwatts': False}}`` - A user-instantiated PV plant can be used by passing in the plant object via: - ``{'pv': {'pv_plant': plant_object}}`` - - A user-instantiated grid object can be used by passing in the grid object via: - ``{'grid': {'grid_source': grid_object}}`` - :param site: :class:`hybrid.sites.site_info.SiteInfo`, - Hybrid plant site information which includes layout, location and resource data + site: Hybrid plant site information which includes layout, location and resource data - :param dispatch_options: ``dict``, - (optional) dictionary of dispatch options. For details see + dispatch_options: (optional) dictionary of dispatch options. For details see :class:`hybrid.dispatch.hybrid_dispatch_options.HybridDispatchOptions` - :param cost_info: ``dict``, - (optional) dictionary of cost information. For details see + cost_info: (optional) dictionary of cost information. For details see :class:`tools.analysis.bos.cost_calculator.CostCalculator` - :param simulation_options: nested ``dict``, i.e., ``{'pv': {'skip_financial': bool}}`` + simulation_options: nested ``dict``, i.e., ``{'pv': {'skip_financial': bool}}`` (optional) nested dictionary of simulation options. First level key is technology consistent with - ``power_sources`` + ``technologies`` ============================ ======================================================= Sim. Options Key Reference @@ -136,92 +172,116 @@ def __init__(self, ``storage_capacity_credit`` :func:`hybrid.csp_source.CspPlant.simulate_financials` ============================ ======================================================= - .. TODO: I don't really like the above table - """ + .. TODO: I don't really like the above table + """ + site: SiteInfo + tech_config: TechnologiesConfig + dispatch_options: Optional[dict] = field(default=None) + cost_info: Optional[dict] = field(default=None) + simulation_options: Optional[dict] = field(default=None) + + pv: Optional[Union[PVPlant, DetailedPVPlant]] = field(init=False, default=None) + wind: Optional[WindPlant] = field(init=False, default=None) + wave: Optional[MHKWavePlant] = field(init=False, default=None) + tower: Optional[TowerPlant] = field(init=False, default=None) + trough: Optional[TroughPlant] = field(init=False, default=None) + battery: Optional[Union[Battery, BatteryStateless]] = field(init=False, default=None) + grid: Optional[Grid] = field(init=False, default=None) + technologies: Dict[str, PowerSourceTypes] = field(init=False) + + dispatch_builder: HybridDispatchBuilderSolver = field(init=False) + _fileout: Path = field(init=False) + + def __attrs_post_init__(self): + self.technologies = {} # store technologies after they've been initialized self._fileout = Path.cwd() / "results" - self.site: SiteInfo = site - self.sim_options = simulation_options if simulation_options else dict() - - self.power_sources = OrderedDict() - self.pv: Union[PVPlant, DetailedPVPlant, None] = None - self.wind: Union[WindPlant, None] = None - self.wave: Union[MHKWavePlant,None] = None - self.tower: Union[TowerPlant, None] = None - self.trough: Union[TroughPlant, None] = None - self.battery: Union[Battery, BatteryStateless, None] = None - self.dispatch_builder: Union[HybridDispatchBuilderSolver, None] = None - self.grid: Union[Grid, None] = None - - temp = list(power_sources.keys()) - for k in temp: - power_sources[k.lower()] = power_sources.pop(k) - - if 'pv' in power_sources.keys(): - if 'pv_plant' in power_sources['pv']: - self.pv = power_sources['pv']['pv_plant'] # User instantiated plant - elif 'use_pvwatts' in power_sources['pv'].keys() and not power_sources['pv']['use_pvwatts']: - config = DetailedPVConfig.from_dict(power_sources['pv']) - self.pv = DetailedPVPlant(self.site, config=config) # PVSAMv1 plant + self.sim_options = self.simulation_options or {} + + pv_config = self.tech_config.pv + + if pv_config is not None: + if not pv_config.use_pvwatts and isinstance(pv_config, DetailedPVConfig): + self.pv = DetailedPVPlant(self.site, config=pv_config) # PVSAMv1 plant + self.technologies["pv"] = self.pv else: - config = PVConfig.from_dict(power_sources['pv']) - self.pv = PVPlant(self.site, config=config) # PVWatts plant - self.power_sources['pv'] = self.pv - logger.info("Created HybridSystem.pv with system size {} mW".format(power_sources['pv'])) - if 'wind' in power_sources.keys(): - config = WindConfig.from_dict(power_sources['wind']) - self.wind = WindPlant(self.site, config=config) - self.power_sources['wind'] = self.wind - logger.info("Created HybridSystem.wind with system size {} mW".format(power_sources['wind'])) - if 'wave' in power_sources.keys(): - config = MHKConfig.from_dict(power_sources['wave']) - self.wave = MHKWavePlant(self.site, config=config) - self.power_sources['wave'] = self.wave - logger.info("Created HybridSystem.wave with system size {} mW".format(power_sources['wave'])) - if 'tower' in power_sources.keys(): - config = TowerConfig.from_dict(power_sources['tower']) - self.tower = TowerPlant(self.site, config=config) - self.power_sources['tower'] = self.tower + self.pv = PVPlant(self.site, config=pv_config) # PVWatts plant + self.technologies["pv"] = self.pv + + logger.info("Created HybridSystem.pv with system size {} mW".format(pv_config.system_capacity_kw)) + + wind_config = self.tech_config.wind + + if wind_config is not None: + self.wind = WindPlant(self.site, config=wind_config) + self.technologies["wind"] = self.wind + + logger.info("Created HybridSystem.wind with system size {} mW".format(wind_config)) + + wave_config = self.tech_config.wave + + if wave_config is not None: + self.wave = MHKWavePlant(self.site, config=wave_config) + self.technologies["wave"] = self.wave + + logger.info("Created HybridSystem.wave with system size {} mW".format(wave_config)) + + tower_config = self.tech_config.tower + + if tower_config is not None: + self.tower = TowerPlant(self.site, config=tower_config) + self.technologies["tower"] = self.tower + logger.info("Created HybridSystem.tower with cycle size {} MW, a solar multiple of {}, {} hours of storage".format( self.tower.cycle_capacity_kw/1000., self.tower.solar_multiple, self.tower.tes_hours)) - if 'trough' in power_sources.keys(): - config = TroughConfig.from_dict(power_sources['trough']) - self.trough = TroughPlant(self.site, config=config) - self.power_sources['trough'] = self.trough + + trough_config = self.tech_config.trough + + if trough_config is not None: + self.trough = TroughPlant(self.site, config=trough_config) + self.technologies["trough"] = self.trough + logger.info("Created HybridSystem.trough with cycle size {} MW, a solar multiple of {}, {} hours of storage".format( self.trough.cycle_capacity_kw/1000., self.trough.solar_multiple, self.trough.tes_hours)) - if 'battery' in power_sources.keys(): - config = BatteryConfig.from_dict(power_sources['battery']) - if 'tracking' in power_sources['battery'].keys() and not power_sources['battery']['tracking']: - self.battery = BatteryStateless(self.site, config=config) - else: - self.battery = Battery(self.site, config=config) - self.power_sources['battery'] = self.battery - logger.info("Created HybridSystem.battery with system capacity {} MWh and rating of {} MW".format( - self.battery.system_capacity_kwh/1000., self.battery.system_capacity_kw/1000.)) - if 'geothermal' in power_sources.keys(): - raise NotImplementedError("Geothermal plant not yet implemented") - if 'grid' in power_sources.keys(): - if 'grid_source' in power_sources['grid']: - self.grid = power_sources['grid']['grid_source'] # User instantiated grid source + + battery_config = self.tech_config.battery + + if battery_config is not None: + if not battery_config.tracking and isinstance(battery_config, BatteryStatelessConfig): + self.battery = BatteryStateless(self.site, config=battery_config) + self.technologies["battery"] = self.battery else: - self.grid = Grid(self.site, power_sources['grid']) - self.power_sources['grid'] = self.grid + self.battery = Battery(self.site, config=battery_config) + self.technologies["battery"] = self.battery + + if self.battery is not None: + logger.info("Created HybridSystem.battery with system capacity {} MWh and rating of {} MW".format( + self.battery.system_capacity_kwh/1000., self.battery.system_capacity_kw/1000.)) + + # if 'geothermal' in tech_config.keys(): + # raise NotImplementedError("Geothermal plant not yet implemented") + + grid_config = self.tech_config.grid + + if grid_config is not None: + self.grid = Grid(self.site, config=grid_config) + self.technologies["grid"] = self.grid + self.interconnect_kw = self.grid.interconnect_kw else: raise Exception("Grid parameters must be specified") self.check_consistent_financial_models() - self.layout = HybridLayout(self.site, self.power_sources) + self.layout = HybridLayout(self.site, self.technologies) self.dispatch_builder = HybridDispatchBuilderSolver(self.site, - self.power_sources, - dispatch_options=dispatch_options) + self.technologies, + dispatch_options=self.dispatch_options) # Default cost calculator, can be overwritten - self.cost_model = create_cost_calculator(self.interconnect_kw, **cost_info if cost_info else {}) + self.cost_model = create_cost_calculator(self.interconnect_kw, **self.cost_info or {}) - self.outputs_factory = HybridSimulationOutput(power_sources) + self.outputs_factory = HybridSimulationOutput(self.technologies) if len(self.site.elec_prices.data): # if prices are provided, assume that they are in units of $/MWh so convert to $/KWh @@ -231,7 +291,7 @@ def __init__(self, def check_consistent_financial_models(self): fin_models = {} - for tech, model in self.power_sources.items(): + for tech, model in self.technologies.items(): if model._financial_model: fin_models[tech] = type(model._financial_model) financial_model_types = set(fin_models.values()) @@ -400,7 +460,7 @@ def calculate_financials(self): .. TODO: Is production ratio correct? Weighting values result in a sum greater than 1? """ - generators = [v for k, v in self.power_sources.items() if k != 'grid'] + generators = [v for k, v in self.technologies.items() if k != 'grid'] # Average based on capacities hybrid_size_kw = sum([v.system_capacity_kw for v in generators]) @@ -483,7 +543,7 @@ def set_logical_or_for_hybrid(var_name): set_average_for_hybrid("om_capacity", size_ratios) set_average_for_hybrid("om_fixed", [1] * len(generators)) set_average_for_hybrid("om_variable", non_storage_production_ratio) - if 'battery' in self.power_sources.keys(): + if 'battery' in self.technologies.keys(): self.grid.value("om_batt_variable_cost", self.battery.value("om_batt_variable_cost")) # Tax Incentives @@ -541,8 +601,8 @@ def setup_performance_models(self): """ Runs the setup requirements for individual system models. """ - for source in self.power_sources.keys(): - self.power_sources[source].setup_performance_model() + for source in self.technologies.keys(): + self.technologies[source].setup_performance_model() def simulate_power(self, project_life: int = 25, lifetime_sim=False): """ @@ -574,7 +634,7 @@ def simulate_power(self, project_life: int = 25, lifetime_sim=False): total_gen_before_battery = np.zeros(self.site.n_timesteps * project_life) total_gen_max_feasible_year1 = np.zeros(self.site.n_timesteps) - for system in self.power_sources.keys(): + for system in self.technologies.keys(): if system != 'grid': model = getattr(self, system) if model: @@ -607,7 +667,7 @@ def simulate_financials(self, project_life): Number of year in the analysis period (execepted project lifetime) [years] :return: """ - for system in self.power_sources.keys(): + for system in self.technologies.keys(): if system != 'grid': model = getattr(self, system) if model: @@ -677,7 +737,7 @@ def ppa_price(self) -> float: @ppa_price.setter def ppa_price(self, ppa_price: float): - for tech, _ in self.power_sources.items(): + for tech, _ in self.technologies.items(): getattr(self, tech).ppa_price = ppa_price self.grid.ppa_price = ppa_price @@ -688,7 +748,7 @@ def capacity_price(self) -> float: @capacity_price.setter def capacity_price(self, cap_price_per_mw_year: float): - for tech, _ in self.power_sources.items(): + for tech, _ in self.technologies.items(): getattr(self, tech).capacity_price = cap_price_per_mw_year self.grid.capacity_price = cap_price_per_mw_year @@ -699,7 +759,7 @@ def dispatch_factors(self) -> Sequence: @dispatch_factors.setter def dispatch_factors(self, dispatch_factors: list): - for tech, _ in self.power_sources.items(): + for tech, _ in self.technologies.items(): if hasattr(self, tech): getattr(self, tech).dispatch_factors = dispatch_factors self.grid.dispatch_factors = dispatch_factors @@ -711,7 +771,7 @@ def discount_rate(self) -> float: @discount_rate.setter def discount_rate(self, discount_rate: float): - for k, _ in self.power_sources.items(): + for k, _ in self.technologies.items(): if hasattr(self, k): getattr(self, k).value("real_discount_rate", discount_rate) self.grid.value("real_discount_rate", discount_rate) @@ -720,7 +780,7 @@ def discount_rate(self, discount_rate: float): def system_capacity_kw(self) -> HybridSimulationOutput: """Hybrid system capacities by technology [kW]""" cap = self.outputs_factory.create() - for v in self.power_sources.keys(): + for v in self.technologies.keys(): if v == "grid": continue if hasattr(self, v): @@ -732,7 +792,7 @@ def system_capacity_kw(self) -> HybridSimulationOutput: def annual_energies(self) -> HybridSimulationOutput: """Hybrid annual energy production by technology [kWh]""" aep = self.outputs_factory.create() - for v in self.power_sources.keys(): + for v in self.technologies.keys(): if v == "grid": continue if hasattr(self, v): @@ -744,7 +804,7 @@ def annual_energies(self) -> HybridSimulationOutput: def generation_profile(self) -> HybridSimulationOutput: """Hybrid generation profiles by technology [kWh]""" gen = self.outputs_factory.create() - for v in self.power_sources.keys(): + for v in self.technologies.keys(): if v == "grid": setattr(gen, 'hybrid', getattr(getattr(self, v), "generation_profile")) if hasattr(self, v): @@ -791,7 +851,7 @@ def capacity_factors(self) -> HybridSimulationOutput: def _aggregate_financial_output(self, name, start_index=None, end_index=None) -> HybridSimulationOutput: """Helper function for aggregating hybrid financial outputs""" out = self.outputs_factory.create() - for k, v in self.power_sources.items(): + for k, v in self.technologies.items(): if k in self.sim_options.keys(): if 'skip_financial' in self.sim_options[k].keys(): continue @@ -998,7 +1058,7 @@ def hybrid_simulation_outputs(self, filename: str = "") -> dict: continue if type(getattr(self, attr)) == HybridSimulationOutput: if attr in attr_map: - technologies = list(self.power_sources.keys()) + technologies = list(self.technologies.keys()) technologies.append('hybrid') for source in technologies: attr_dict = attr_map[attr] @@ -1028,7 +1088,7 @@ def hybrid_simulation_outputs(self, filename: str = "") -> dict: value_map = {'npv_annual_costs': {'name': 'NPV Annual Costs ($-million)', 'scale': 1 / 1e6}} for value in value_map.keys(): - technologies = list(self.power_sources.keys()) + technologies = list(self.technologies.keys()) for source in technologies: if source == 'grid': source_name = 'Hybrid' @@ -1037,7 +1097,7 @@ def hybrid_simulation_outputs(self, filename: str = "") -> dict: attr_dict = value_map[value] o_name = source_name + ' ' + attr_dict['name'] try: - source_output = self.power_sources[source].value(value) + source_output = self.technologies[source].value(value) except AttributeError: continue @@ -1080,22 +1140,22 @@ def assign(self, input_dict: dict): """ for k, v in input_dict.items(): if not isinstance(v, dict): - for tech in self.power_sources.keys(): - self.power_sources[tech.lower()].value(k, v) + for tech in self.technologies.keys(): + self.technologies[tech.lower()].value(k, v) else: - if k not in self.power_sources.keys(): + if k not in self.technologies.keys(): logger.info(f"Did not assign {v} to {k}: technology was not included in hybrid plant") continue for kk, vv in v.items(): - self.power_sources[k.lower()].value(kk, vv) + self.technologies[k.lower()].value(kk, vv) def export(self): """ :return: dictionary of inputs and results for each technology """ export_dicts = {} - for tech in self.power_sources.keys(): - export_dicts[tech] = self.power_sources[tech.lower()].export() + for tech in self.technologies.keys(): + export_dicts[tech] = self.technologies[tech.lower()].export() return export_dicts def copy(self): diff --git a/hopp/simulation/technologies/grid.py b/hopp/simulation/technologies/grid.py index 7e865f861..b08011060 100644 --- a/hopp/simulation/technologies/grid.py +++ b/hopp/simulation/technologies/grid.py @@ -8,7 +8,7 @@ from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.base import BaseClass -from hopp.simulation.technologies.financial import FinancialModelType +from hopp.simulation.technologies.financial import FinancialModelType, CustomFinancialModel from hopp.type_dec import NDArrayFloat from hopp.utilities.validators import gt_zero @@ -23,15 +23,23 @@ class GridConfig(BaseClass): fin_model: financial model """ interconnect_kw: float = field(validator=gt_zero) - fin_model: Optional[FinancialModelType] = None + fin_model: Optional[Union[dict, FinancialModelType]] = None + + fin_model_inst: Optional[FinancialModelType] = field(init=False, default=None) + + def __attrs_post_init__(self): + if isinstance(self.fin_model, str): + self.fin_model_inst = Singleowner.default(self.fin_model) + elif isinstance(self.fin_model, dict): + self.fin_model_inst = CustomFinancialModel(self.fin_model) + else: + self.fin_model_inst = self.fin_model @define class Grid(PowerSource): site: SiteInfo - config: dict - - grid_config: GridConfig = field(init=False) + config: GridConfig # TODO: figure out if this is the best place for these missed_load: NDArrayFloat = field(init=False) @@ -50,16 +58,15 @@ def __attrs_post_init__(self): config: dict, used to instantiate a `GridConfig` instance """ self.system_model = GridModel.default("GenericSystemSingleOwner") - self.grid_config = GridConfig.from_dict(self.config) - if self.grid_config.fin_model is not None: + if self.config.fin_model is not None: # if 'fin_model' in grid_config.keys(): - if isinstance(self.grid_config.fin_model, Singleowner.Singleowner): + if isinstance(self.config.fin_model, Singleowner.Singleowner): self.financial_model = Singleowner.from_existing(self.system_model, "GenericSystemSingleOwner") - self.financial_model.assign(self.grid_config.fin_model.export()) + self.financial_model.assign(self.config.fin_model_inst.export()) else: - self.financial_model = self.grid_config.fin_model + self.financial_model = self.config.fin_model_inst else: self.financial_model = Singleowner.from_existing(self.system_model, "GenericSystemSingleOwner") self.financial_model.value("add_om_num_types", 1) @@ -67,7 +74,7 @@ def __attrs_post_init__(self): super().__init__("Grid", self.site, self.system_model, self.financial_model) self.system_model.GridLimits.enable_interconnection_limit = 1 - self.system_model.GridLimits.grid_interconnection_limit_kwac = self.grid_config.interconnect_kw + self.system_model.GridLimits.grid_interconnection_limit_kwac = self.config.interconnect_kw self._dispatch = None self.missed_load = np.array([0.]) diff --git a/hopp/tools/hopp_interface.py b/hopp/tools/hopp_interface.py index 1e0471cb3..fbda11493 100644 --- a/hopp/tools/hopp_interface.py +++ b/hopp/tools/hopp_interface.py @@ -1,9 +1,13 @@ from __future__ import annotations from pathlib import Path -from typing import Union +from typing import Union, TYPE_CHECKING from hopp.simulation.hopp import Hopp +# avoid potential circular dep +if TYPE_CHECKING: + from hopp.simulation import HybridSimulation + class HoppInterface(): def __init__(self, configuration: Union[dict, str, Path]): @@ -18,8 +22,13 @@ def __init__(self, configuration: Union[dict, str, Path]): def reinitialize(self): pass - def simulate(self, project_life): - self.hopp.simulate(project_life) + def simulate(self, project_life: int = 25, lifetime_sim: bool = False): + self.hopp.simulate(project_life, lifetime_sim) + + @property + def system(self) -> "HybridSimulation": + """Returns the configured simulation instance.""" + return self.hopp.system def parse_input(self): pass diff --git a/tests/hopp/inputs/hybrid_run.yaml b/tests/hopp/inputs/hybrid_run.yaml new file mode 100644 index 000000000..8ed60fb63 --- /dev/null +++ b/tests/hopp/inputs/hybrid_run.yaml @@ -0,0 +1,45 @@ +name: Hybrid Test + +# SiteInfo +site: + +# Technologies +technologies: + pv: + system_capacity_kw: 5000 + layout_params: + x_position: 0.5 + y_position: 0.5 + aspect_power: 0 + gcr: 0.5 + s_buffer: 2 + x_buffer: 2 + wind: + num_turbines: 5 + turbine_rating_kw: 2000 + layout_mode: 'boundarygrid' + layout_params: + border_spacing: 2 + border_offset: 0.5 + grid_angle: 0.5 + grid_aspect_power: 0.5 + row_phase_offset: 0.5 + tower: + cycle_capacity_kw: 15000 + solar_multiple: 2.0 + tes_hours: 6.0 + trough: + cycle_capacity_kw: 15000 + solar_multiple: 2.0 + tes_hours: 6.0 + battery: + system_capacity_kw: 5000 + system_capacity_kwh: 20000 + grid: + interconnect_kw: 15000 + +# Additional config options +config: + dispatch_options: + cost_info: + simulation_options: \ No newline at end of file diff --git a/tests/hopp/input/wave/wave_device.yaml b/tests/hopp/inputs/wave/wave_device.yaml similarity index 100% rename from tests/hopp/input/wave/wave_device.yaml rename to tests/hopp/inputs/wave/wave_device.yaml diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index 997545c80..d7820219c 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -1,15 +1,16 @@ from pathlib import Path from copy import deepcopy +import pytest from pytest import approx, fixture, raises -import yaml -from yamlinclude import YamlIncludeConstructor import numpy as np import json import PySAM.Singleowner as Singleowner +from attrs import asdict + +from hopp.tools.hopp_interface import HoppInterface from hopp.simulation.technologies.sites import SiteInfo -from hopp.simulation.technologies.layout.wind_layout import WindBoundaryGridParameters from hopp.simulation.technologies.layout.pv_layout import PVGridParameters from hopp.simulation.hybrid_simulation import HybridSimulation from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant, DetailedPVConfig @@ -17,110 +18,66 @@ from examples.Detailed_PV_Layout.detailed_pv_config import PVLayoutConfig from hopp.simulation.technologies.grid import Grid from hopp.simulation.technologies.layout.pv_design_utils import size_electrical_parameters -from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel from hopp.simulation.technologies.financial.mhk_cost_model import MHKCostModelInputs -from tests.hopp.utils import create_default_site_info +from tests.hopp.utils import create_default_site_info, DEFAULT_FIN_CONFIG +from hopp import ROOT_DIR +from hopp.utilities.utilities import load_yaml + + +@fixture +def hybrid_config(site): + """Loads the config YAML and updates site info to use resource files.""" + hybrid_config_path = ROOT_DIR.parent / "tests" / "hopp" / "inputs" / "hybrid_run.yaml" + hybrid_config = load_yaml(hybrid_config_path) + # set manually so we don't have to hardcode resource filepaths for tests + hybrid_config["site"] = asdict(site) + + return hybrid_config + @fixture def site(): return create_default_site_info() +wave_resource_file = ROOT_DIR.parent / "resource_files" / "wave" / "Wave_resource_timeseries.csv" + @fixture def wavesite(): data = { - "lat": 44.6899, - "lon": 124.1346, - "year": 2010, - "tz": -7 + "lat": 44.6899, + "lon": 124.1346, + "year": 2010, + "tz": -7 } - wave_resource_file = Path(__file__).absolute().parent.parent.parent / "resource_files" / "wave" / "Wave_resource_timeseries.csv" - return(SiteInfo(data,wave_resource_file=wave_resource_file, solar=False, wind=False, wave=True)) - -YamlIncludeConstructor.add_to_loader_class(loader_class=yaml.FullLoader, base_dir=Path(__file__).absolute()) -mhk_yaml_path = Path(__file__).absolute().parent.parent.parent / "tests" / "hopp" / "input" / "wave" / "wave_device.yaml" -with open(mhk_yaml_path, 'r') as stream: - mhk_config = yaml.safe_load(stream) - -default_fin_config = { - 'batt_replacement_schedule_percent': [0], - 'batt_bank_replacement': [0], - 'batt_replacement_option': 0, - 'batt_computed_bank_capacity': 0, - 'batt_meter_position': 0, - 'om_fixed': [1], - 'om_production': [2], - 'om_capacity': (0,), - 'om_batt_fixed_cost': 0, - 'om_batt_variable_cost': [0], - 'om_batt_capacity_cost': 0, - 'om_batt_replacement_cost': 0, - 'om_replacement_cost_escal': 0, - 'system_use_lifetime_output': 0, - 'inflation_rate': 2.5, - 'real_discount_rate': 6.4, - 'cp_capacity_credit_percent': [0], - 'degradation': [0], - 'ppa_price_input': (0.01,), - 'ppa_escalation': 1 - } + return SiteInfo( + data, + wave_resource_file=wave_resource_file, + solar=False, + wind=False, + wave=True + ) + +mhk_yaml_path = ROOT_DIR.parent / "tests" / "hopp" / "inputs" / "wave" / "wave_device.yaml" +mhk_config = load_yaml(mhk_yaml_path) interconnection_size_kw = 15000 pv_kw = 5000 wind_kw = 10000 batt_kw = 5000 -technologies = {'pv': { - 'system_capacity_kw': pv_kw, - 'layout_params': PVGridParameters(x_position=0.5, - y_position=0.5, - aspect_power=0, - gcr=0.5, - s_buffer=2, - x_buffer=2) - }, - 'wind': { - 'num_turbines': 5, - 'turbine_rating_kw': wind_kw / 5, - 'layout_mode': 'boundarygrid', - 'layout_params': WindBoundaryGridParameters(border_spacing=2, - border_offset=0.5, - grid_angle=0.5, - grid_aspect_power=0.5, - row_phase_offset=0.5) - }, - 'wave':{ - 'device_rating_kw': mhk_config['device_rating_kw'], - 'num_devices': 10, - 'wave_power_matrix': mhk_config['wave_power_matrix'], - 'fin_model': CustomFinancialModel(default_fin_config) - }, - 'trough': { - 'cycle_capacity_kw': 15 * 1000, - 'solar_multiple': 2.0, - 'tes_hours': 6.0 - }, - 'tower': { - 'cycle_capacity_kw': 15 * 1000, - 'solar_multiple': 2.0, - 'tes_hours': 6.0 - }, - 'battery': { - 'system_capacity_kwh': batt_kw * 4, - 'system_capacity_kw': batt_kw - }, - 'grid': { - 'interconnect_kw': interconnection_size_kw - }} + detailed_pv = { - 'tech_config': { - 'system_capacity_kw': pv_kw - }, - 'layout_params': PVGridParameters(x_position=0.5, - y_position=0.5, - aspect_power=0, - gcr=0.5, - s_buffer=2, - x_buffer=2) - } + 'tech_config': { + 'system_capacity_kw': pv_kw + }, + 'layout_params': { + "x_position": 0.5, + "y_position": 0.5, + "aspect_power": 0, + "gcr": 0.5, + "s_buffer": 2, + "x_buffer": 2 + } +} # From a Cambium midcase BA10 2030 analysis (Jan 1 = 1): capacity_credit_hours_of_year = [4604,4605,4606,4628,4629,4630,4652,4821,5157,5253, 5254,5277,5278,5299,5300,5301,5302,5321,5323,5324, @@ -135,18 +92,28 @@ def wavesite(): # List length 8760, True if the hour counts for capacity payments, False otherwise capacity_credit_hours = [hour in capacity_credit_hours_of_year for hour in range(1,8760+1)] -def test_hybrid_wave_only(wavesite,subtests): - +def test_hybrid_wave_only(hybrid_config, wavesite, subtests): + hybrid_config["site"]["wave"] = True + hybrid_config["site"]["wave_resource_file"] = wave_resource_file wave_only_technologies = { - 'wave': technologies['wave'], + 'wave': { + 'device_rating_kw': mhk_config['device_rating_kw'], + 'num_devices': 10, + 'wave_power_matrix': mhk_config['wave_power_matrix'], + 'fin_model': DEFAULT_FIN_CONFIG + }, 'grid': { 'interconnect_kw': interconnection_size_kw, - 'fin_model': CustomFinancialModel(default_fin_config), + 'fin_model': DEFAULT_FIN_CONFIG, } } + + hybrid_config["technologies"] = wave_only_technologies # TODO once the financial model is implemented, romove the line immediately following this comment and un-indent the rest of the test - hybrid_plant = HybridSimulation(wave_only_technologies, wavesite) + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system + # hybrid_plant = HybridSimulation(wave_only_technologies, wavesite) cost_model_inputs = MHKCostModelInputs.from_dict({ 'reference_model_num':3, 'water_depth': 100, @@ -159,7 +126,7 @@ def test_hybrid_wave_only(wavesite,subtests): assert hybrid_plant.wave is not None hybrid_plant.wave.create_mhk_cost_calculator(cost_model_inputs) - hybrid_plant.simulate(project_life = 25) + hi.simulate() aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values cf = hybrid_plant.capacity_factors @@ -221,12 +188,17 @@ def test_hybrid_wave_only(wavesite,subtests): with subtests.test("hybrid wave only npv"): assert npvs.hybrid == approx(npvs.wave) -def test_hybrid_wind_only(site, subtests): + +def test_hybrid_wind_only(hybrid_config): + technologies = hybrid_config["technologies"] wind_only = {key: technologies[key] for key in ('wind', 'grid')} - hybrid_plant = HybridSimulation(wind_only, site) - hybrid_plant.layout.plot() + hybrid_config["technologies"] = wind_only + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.simulate(25) + + hi.simulate(25) + aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values cf = hybrid_plant.capacity_factors @@ -237,13 +209,20 @@ def test_hybrid_wind_only(site, subtests): assert npvs.wind == approx(-13692784, 1e3) assert npvs.hybrid == approx(-13692784, 1e3) -def test_hybrid_pv_only(site): + +def test_hybrid_pv_only(hybrid_config): + technologies = hybrid_config["technologies"] solar_only = {key: technologies[key] for key in ('pv', 'grid')} - hybrid_plant = HybridSimulation(solar_only, site) - hybrid_plant.layout.plot() + hybrid_config["technologies"] = solar_only + hi = HoppInterface(hybrid_config) + + hybrid_plant = hi.system + hybrid_plant.ppa_price = (0.01, ) hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() + + hi.simulate() + aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values @@ -254,186 +233,212 @@ def test_hybrid_pv_only(site): assert npvs.hybrid == approx(-5121293, 1e3) -def test_detailed_pv_system_capacity(site): - # Run detailed PV model (pvsamv1) using defaults except the top level system_capacity_kw parameter - annual_energy_expected = 11236853 - npv_expected = -2566581 - solar_only = deepcopy({key: technologies[key] for key in ('pv', 'grid')}) # includes system_capacity_kw parameter - solar_only['pv']['use_pvwatts'] = False # specify detailed PV model but don't change any defaults - solar_only['grid']['interconnect_kw'] = 150e3 - hybrid_plant = HybridSimulation(solar_only, site) - assert hybrid_plant.pv.value('subarray1_nstrings') == 1343 - hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() - aeps = hybrid_plant.annual_energies - npvs = hybrid_plant.net_present_values - assert aeps.pv == approx(annual_energy_expected, 1e-3) - assert aeps.hybrid == approx(annual_energy_expected, 1e-3) - assert npvs.pv == approx(npv_expected, 1e-3) - assert npvs.hybrid == approx(npv_expected, 1e-3) - - # Run detailed PV model (pvsamv1) using parameters from file except the top level system_capacity_kw parameter - pvsamv1_defaults_file = Path(__file__).absolute().parent / "pvsamv1_basic_params.json" - with open(pvsamv1_defaults_file, 'r') as f: - tech_config = json.load(f) - solar_only = deepcopy({key: technologies[key] for key in ('pv', 'grid')}) # includes system_capacity_kw parameter - solar_only['pv']['use_pvwatts'] = False # specify detailed PV model - solar_only['pv']['tech_config'] = tech_config # specify parameters - solar_only['grid']['interconnect_kw'] = 150e3 - with raises(Exception) as context: - hybrid_plant = HybridSimulation(solar_only, site) - assert "The specified system capacity of 5000 kW is more than 5% from the value calculated" in str(context.value) - - # Run detailed PV model (pvsamv1) using file parameters, minus the number of strings, and the top level system_capacity_kw parameter - annual_energy_expected = 8893309 - npv_expected = -2768562 - pvsamv1_defaults_file = Path(__file__).absolute().parent / "pvsamv1_basic_params.json" - with open(pvsamv1_defaults_file, 'r') as f: - tech_config = json.load(f) - tech_config.pop('subarray1_nstrings') - solar_only = deepcopy({key: technologies[key] for key in ('pv', 'grid')}) # includes system_capacity_kw parameter - solar_only['pv']['use_pvwatts'] = False # specify detailed PV model - solar_only['pv']['tech_config'] = tech_config # specify parameters - solar_only['grid']['interconnect_kw'] = 150e3 - hybrid_plant = HybridSimulation(solar_only, site) - assert hybrid_plant.pv.value('subarray1_nstrings') == 1343 - hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() - aeps = hybrid_plant.annual_energies - npvs = hybrid_plant.net_present_values - assert aeps.pv == approx(annual_energy_expected, 1e-3) - assert aeps.hybrid == approx(annual_energy_expected, 1e-3) - assert npvs.pv == approx(npv_expected, 1e-3) - assert npvs.hybrid == approx(npv_expected, 1e-3) - - -def test_hybrid_detailed_pv_only(site): - # Run standalone detailed PV model (pvsamv1) using defaults - annual_energy_expected = 11236852 - config = DetailedPVConfig.from_dict(detailed_pv) - pv_plant = DetailedPVPlant(site=site, config=config) - assert pv_plant.system_capacity_kw == approx(pv_kw, 1e-2) - pv_plant.simulate_power(1, False) - assert pv_plant.system_capacity_kw == approx(pv_kw, 1e-2) - assert pv_plant.system_model.Outputs.annual_energy == approx(annual_energy_expected, 1e-2) - assert pv_plant.system_model.Outputs.capacity_factor == approx(25.66, 1e-2) - - # Run detailed PV model (pvsamv1) using defaults - npv_expected = -2566581 - solar_only = { - 'pv': detailed_pv, - 'grid': technologies['grid'] - } - solar_only['pv']['use_pvwatts'] = False # specify detailed PV model but don't change any defaults - solar_only['grid']['interconnect_kw'] = 150e3 - hybrid_plant = HybridSimulation(solar_only, site) - hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() - aeps = hybrid_plant.annual_energies - npvs = hybrid_plant.net_present_values - assert aeps.pv == approx(annual_energy_expected, 1e-3) - assert aeps.hybrid == approx(annual_energy_expected, 1e-3) - assert npvs.pv == approx(npv_expected, 1e-3) - assert npvs.hybrid == approx(npv_expected, 1e-3) - - # Run detailed PV model (pvsamv1) using parameters from file - annual_energy_expected = 102671566 - npv_expected = -26482685 - pvsamv1_defaults_file = Path(__file__).absolute().parent / "pvsamv1_basic_params.json" - with open(pvsamv1_defaults_file, 'r') as f: - tech_config = json.load(f) - solar_only = deepcopy({key: technologies[key] for key in ('pv', 'grid')}) - solar_only['pv']['use_pvwatts'] = False # specify detailed PV model - solar_only['pv']['tech_config'] = tech_config # specify parameters - solar_only['grid']['interconnect_kw'] = 150e3 - solar_only['pv']['system_capacity_kw'] = 50000 # use another system capacity - hybrid_plant = HybridSimulation(solar_only, site) - hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() - aeps = hybrid_plant.annual_energies - npvs = hybrid_plant.net_present_values - assert aeps.pv == approx(annual_energy_expected, 1e-3) - assert aeps.hybrid == approx(annual_energy_expected, 1e-3) - assert npvs.pv == approx(npv_expected, 1e-3) - assert npvs.hybrid == approx(npv_expected, 1e-3) +def test_detailed_pv_system_capacity(hybrid_config, subtests): + with subtests.test("Detailed PV model (pvsamv1) using defaults except the top level system_capacity_kw parameter"): + annual_energy_expected = 11236853 + npv_expected = -2566581 + technologies = hybrid_config["technologies"] + solar_only = deepcopy({key: technologies[key] for key in ('pv', 'grid')}) # includes system_capacity_kw parameter + solar_only['pv']['use_pvwatts'] = False # specify detailed PV model but don't change any defaults + solar_only['grid']['interconnect_kw'] = 150e3 + hybrid_config["technologies"] = solar_only + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system + assert hybrid_plant.pv.value('subarray1_nstrings') == 1343 + hybrid_plant.layout.plot() + hybrid_plant.ppa_price = (0.01, ) + hybrid_plant.pv.dc_degradation = [0] * 25 + + hi.simulate() + + aeps = hybrid_plant.annual_energies + npvs = hybrid_plant.net_present_values + assert aeps.pv == approx(annual_energy_expected, 1e-3) + assert aeps.hybrid == approx(annual_energy_expected, 1e-3) + assert npvs.pv == approx(npv_expected, 1e-3) + assert npvs.hybrid == approx(npv_expected, 1e-3) - # Run user-instantiated or user-defined detailed PV model (pvsamv1) using parameters from file - config = DetailedPVConfig.from_dict(solar_only['pv']) - power_sources = { - 'pv': { - 'pv_plant': DetailedPVPlant(site=site, config=config), - }, - 'grid': { - 'interconnect_kw': 150e3 + + with subtests.test("Detailed PV model (pvsamv1) using parameters from file except the top level system_capacity_kw parameter"): + pvsamv1_defaults_file = Path(__file__).absolute().parent / "pvsamv1_basic_params.json" + with open(pvsamv1_defaults_file, 'r') as f: + tech_config = json.load(f) + solar_only = deepcopy({key: technologies[key] for key in ('pv', 'grid')}) # includes system_capacity_kw parameter + solar_only['pv']['use_pvwatts'] = False # specify detailed PV model + solar_only['pv']['tech_config'] = tech_config # specify parameters + solar_only['grid']['interconnect_kw'] = 150e3 + hybrid_config["technologies"] = solar_only + with raises(Exception) as context: + hi = HoppInterface(hybrid_config) + assert "The specified system capacity of 5000 kW is more than 5% from the value calculated" in str(context.value) + + # Run detailed PV model (pvsamv1) using file parameters, minus the number of strings, and the top level system_capacity_kw parameter + annual_energy_expected = 8893309 + npv_expected = -2768562 + pvsamv1_defaults_file = Path(__file__).absolute().parent / "pvsamv1_basic_params.json" + with open(pvsamv1_defaults_file, 'r') as f: + tech_config = json.load(f) + tech_config.pop('subarray1_nstrings') + solar_only = deepcopy({key: technologies[key] for key in ('pv', 'grid')}) # includes system_capacity_kw parameter + solar_only['pv']['use_pvwatts'] = False # specify detailed PV model + solar_only['pv']['tech_config'] = tech_config # specify parameters + solar_only['grid']['interconnect_kw'] = 150e3 + hybrid_config["technologies"] = solar_only + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system + assert hybrid_plant.pv.value('subarray1_nstrings') == 1343 + hybrid_plant.layout.plot() + hybrid_plant.ppa_price = (0.01, ) + hybrid_plant.pv.dc_degradation = [0] * 25 + + hi.simulate() + aeps = hybrid_plant.annual_energies + npvs = hybrid_plant.net_present_values + assert aeps.pv == approx(annual_energy_expected, 1e-3) + assert aeps.hybrid == approx(annual_energy_expected, 1e-3) + assert npvs.pv == approx(npv_expected, 1e-3) + assert npvs.hybrid == approx(npv_expected, 1e-3) + + +def test_hybrid_detailed_pv_only(site, hybrid_config, subtests): + with subtests.test("standalone detailed PV model (pvsamv1) using defaults"): + annual_energy_expected = 11236852 + config = DetailedPVConfig.from_dict(detailed_pv) + pv_plant = DetailedPVPlant(site=site, config=config) + assert pv_plant.system_capacity_kw == approx(pv_kw, 1e-2) + pv_plant.simulate_power(1, False) + assert pv_plant.system_capacity_kw == approx(pv_kw, 1e-2) + assert pv_plant.system_model.Outputs.annual_energy == approx(annual_energy_expected, 1e-2) + assert pv_plant.system_model.Outputs.capacity_factor == approx(25.66, 1e-2) + + with subtests.test("detailed PV model (pvsamv1) using defaults"): + technologies = hybrid_config["technologies"] + npv_expected = -2566581 + solar_only = { + 'pv': detailed_pv, + 'grid': technologies['grid'] } - } - hybrid_plant = HybridSimulation(power_sources, site) - hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() - aeps = hybrid_plant.annual_energies - npvs = hybrid_plant.net_present_values - assert aeps.pv == approx(annual_energy_expected, 1e-3) - assert aeps.hybrid == approx(annual_energy_expected, 1e-3) - assert npvs.pv == approx(npv_expected, 1e-3) - assert npvs.hybrid == approx(npv_expected, 1e-3) - - # Run detailed PV model using parameters from file and autosizing electrical parameters - annual_energy_expected = 102439127 - npv_expected = -26503369 - pvsamv1_defaults_file = Path(__file__).absolute().parent / "pvsamv1_basic_params.json" - with open(pvsamv1_defaults_file, 'r') as f: - tech_config = json.load(f) - solar_only = deepcopy({key: technologies[key] for key in ('pv', 'grid')}) - solar_only['pv']['use_pvwatts'] = False # specify detailed PV model - solar_only['pv']['tech_config'] = tech_config # specify parameters - solar_only['grid']['interconnect_kw'] = 150e3 - solar_only['pv'].pop('system_capacity_kw') # use default system capacity instead - - # autosize number of strings, number of inverters and adjust system capacity - n_strings, n_combiners, n_inverters, calculated_system_capacity = size_electrical_parameters( - target_system_capacity=solar_only['pv']['tech_config']['system_capacity'], - target_dc_ac_ratio=1.34, - modules_per_string=solar_only['pv']['tech_config']['subarray1_modules_per_string'], - module_power= \ - solar_only['pv']['tech_config']['cec_i_mp_ref'] \ - * solar_only['pv']['tech_config']['cec_v_mp_ref'] \ - * 1e-3, - inverter_power=solar_only['pv']['tech_config']['inv_snl_paco'] * 1e-3, - n_inputs_inverter=50, - n_inputs_combiner=32 - ) - assert n_strings == 13435 - assert n_combiners == 420 - assert n_inverters == 50 - assert calculated_system_capacity == approx(50002.2, 1e-3) - solar_only['pv']['tech_config']['subarray1_nstrings'] = n_strings - solar_only['pv']['tech_config']['inverter_count'] = n_inverters - solar_only['pv']['tech_config']['system_capacity'] = calculated_system_capacity - - hybrid_plant = HybridSimulation(solar_only, site) - hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() - aeps = hybrid_plant.annual_energies - npvs = hybrid_plant.net_present_values - assert hybrid_plant.pv.system_capacity_kw == approx(50002.2, 1e-2) - assert aeps.pv == approx(annual_energy_expected, 1e-3) - assert aeps.hybrid == approx(annual_energy_expected, 1e-3) - assert npvs.pv == approx(npv_expected, 1e-3) - assert npvs.hybrid == approx(npv_expected, 1e-3) - - + solar_only['pv']['use_pvwatts'] = False # specify detailed PV model but don't change any defaults + solar_only['grid']['interconnect_kw'] = 150e3 + hybrid_config["technologies"] = solar_only + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system + hybrid_plant.layout.plot() + hybrid_plant.ppa_price = (0.01, ) + hybrid_plant.pv.dc_degradation = [0] * 25 + + hi.simulate() + + aeps = hybrid_plant.annual_energies + npvs = hybrid_plant.net_present_values + assert aeps.pv == approx(annual_energy_expected, 1e-3) + assert aeps.hybrid == approx(annual_energy_expected, 1e-3) + assert npvs.pv == approx(npv_expected, 1e-3) + assert npvs.hybrid == approx(npv_expected, 1e-3) + + with subtests.test("Detailed PV model (pvsamv1) using parameters from file"): + annual_energy_expected = 102671566 + npv_expected = -26482685 + pvsamv1_defaults_file = Path(__file__).absolute().parent / "pvsamv1_basic_params.json" + with open(pvsamv1_defaults_file, 'r') as f: + tech_config = json.load(f) + solar_only = deepcopy({key: technologies[key] for key in ('pv', 'grid')}) + solar_only['pv']['use_pvwatts'] = False # specify detailed PV model + solar_only['pv']['tech_config'] = tech_config # specify parameters + solar_only['grid']['interconnect_kw'] = 150e3 + solar_only['pv']['system_capacity_kw'] = 50000 # use another system capacity + hybrid_config["technologies"] = solar_only + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system + hybrid_plant.layout.plot() + hybrid_plant.ppa_price = (0.01, ) + hybrid_plant.pv.dc_degradation = [0] * 25 + + hi.simulate() + + aeps = hybrid_plant.annual_energies + npvs = hybrid_plant.net_present_values + assert aeps.pv == approx(annual_energy_expected, 1e-3) + assert aeps.hybrid == approx(annual_energy_expected, 1e-3) + assert npvs.pv == approx(npv_expected, 1e-3) + assert npvs.hybrid == approx(npv_expected, 1e-3) + + # # Run user-instantiated or user-defined detailed PV model (pvsamv1) using parameters from file + # config = DetailedPVConfig.from_dict(solar_only['pv']) + # power_sources = { + # 'pv': { + # 'pv_plant': DetailedPVPlant(site=site, config=config), + # }, + # 'grid': { + # 'interconnect_kw': 150e3 + # } + # } + # hybrid_plant = HybridSimulation(power_sources, site) + # hybrid_plant.layout.plot() + # hybrid_plant.ppa_price = (0.01, ) + # hybrid_plant.pv.dc_degradation = [0] * 25 + # hi.simulate() + # aeps = hybrid_plant.annual_energies + # npvs = hybrid_plant.net_present_values + # assert aeps.pv == approx(annual_energy_expected, 1e-3) + # assert aeps.hybrid == approx(annual_energy_expected, 1e-3) + # assert npvs.pv == approx(npv_expected, 1e-3) + # assert npvs.hybrid == approx(npv_expected, 1e-3) + + with subtests.test("Detailed PV model using parameters from file and autosizing electrical parameters"): + annual_energy_expected = 102439127 + npv_expected = -26503369 + pvsamv1_defaults_file = Path(__file__).absolute().parent / "pvsamv1_basic_params.json" + with open(pvsamv1_defaults_file, 'r') as f: + tech_config = json.load(f) + solar_only = deepcopy({key: technologies[key] for key in ('pv', 'grid')}) + solar_only['pv']['use_pvwatts'] = False # specify detailed PV model + solar_only['pv']['tech_config'] = tech_config # specify parameters + solar_only['grid']['interconnect_kw'] = 150e3 + solar_only['pv'].pop('system_capacity_kw') # use default system capacity instead + + # autosize number of strings, number of inverters and adjust system capacity + n_strings, n_combiners, n_inverters, calculated_system_capacity = size_electrical_parameters( + target_system_capacity=solar_only['pv']['tech_config']['system_capacity'], + target_dc_ac_ratio=1.34, + modules_per_string=solar_only['pv']['tech_config']['subarray1_modules_per_string'], + module_power= \ + solar_only['pv']['tech_config']['cec_i_mp_ref'] \ + * solar_only['pv']['tech_config']['cec_v_mp_ref'] \ + * 1e-3, + inverter_power=solar_only['pv']['tech_config']['inv_snl_paco'] * 1e-3, + n_inputs_inverter=50, + n_inputs_combiner=32 + ) + assert n_strings == 13435 + assert n_combiners == 420 + assert n_inverters == 50 + assert calculated_system_capacity == approx(50002.2, 1e-3) + solar_only['pv']['tech_config']['subarray1_nstrings'] = n_strings + solar_only['pv']['tech_config']['inverter_count'] = n_inverters + solar_only['pv']['tech_config']['system_capacity'] = calculated_system_capacity + + hybrid_config["technologies"] = solar_only + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system + hybrid_plant.layout.plot() + hybrid_plant.ppa_price = (0.01, ) + hybrid_plant.pv.dc_degradation = [0] * 25 + + hi.simulate() + + aeps = hybrid_plant.annual_energies + npvs = hybrid_plant.net_present_values + assert hybrid_plant.pv.system_capacity_kw == approx(50002.2, 1e-2) + assert aeps.pv == approx(annual_energy_expected, 1e-3) + assert aeps.hybrid == approx(annual_energy_expected, 1e-3) + assert npvs.pv == approx(npv_expected, 1e-3) + assert npvs.hybrid == approx(npv_expected, 1e-3) + + +@pytest.mark.skip( + "Rework: this does not fit the new workflow, but the refactored code allows for users to specify a str representing a Singleowner default config name." +) def test_hybrid_user_instantiated(site): # Run detailed PV model (pvsamv1) using defaults and user-instantiated financial models annual_energy_expected = 11236852 @@ -519,7 +524,10 @@ def test_hybrid_user_instantiated(site): assert npvs.hybrid == approx(npv_expected, 1e-3) -def test_custom_layout(site): +@pytest.mark.skip( + "Revisit later, this class comes from examples and does not fit the new workflow" +) +def test_custom_layout(hybrid_config): # Run detailed (pvsamv1) and simple (PVWattsv8) PV models using a custom layout model annual_energy_expected = 7996844 npv_expected = -2848449 @@ -576,6 +584,7 @@ def test_custom_layout(site): 'interconnect_kw': interconnect_kw, } } + hybrid_plant = HybridSimulation(solar_only, site) hybrid_plant.ppa_price = (0.01, ) hybrid_plant.pv.dc_degradation = [0] * 25 @@ -612,17 +621,20 @@ def test_custom_layout(site): assert npvs.hybrid == approx(npv_expected, 1e-3) -def test_hybrid(site): +def test_hybrid(hybrid_config): """ Performance from Wind is slightly different from wind-only case because the solar presence modified the wind layout """ + technologies = hybrid_config["technologies"] solar_wind_hybrid = {key: technologies[key] for key in ('pv', 'wind', 'grid')} - hybrid_plant = HybridSimulation(solar_wind_hybrid, site) - hybrid_plant.layout.plot() + hybrid_config["technologies"] = solar_wind_hybrid + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system hybrid_plant.ppa_price = (0.01, ) hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() - # plt.show() + + hi.simulate() + aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values @@ -635,12 +647,17 @@ def test_hybrid(site): assert npvs.hybrid == approx(-19216589, 1e3) -def test_wind_pv_with_storage_dispatch(site): +def test_wind_pv_with_storage_dispatch(hybrid_config): + technologies = hybrid_config["technologies"] wind_pv_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} - hybrid_plant = HybridSimulation(wind_pv_battery, site) + hybrid_config["technologies"] = wind_pv_battery + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system hybrid_plant.ppa_price = (0.03, ) hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() + + hi.simulate() + aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values taxes = hybrid_plant.federal_taxes @@ -708,7 +725,8 @@ def test_wind_pv_with_storage_dispatch(site): assert tc.battery[1] == approx(0, rel=5e-2) assert tc.hybrid[1] == approx(1646170, rel=5e-2) -def test_tower_pv_hybrid(site): + +def test_tower_pv_hybrid(hybrid_config): interconnection_size_kw_test = 50000 technologies_test = {'tower': {'cycle_capacity_kw': 50 * 1000, 'solar_multiple': 2.0, @@ -717,17 +735,17 @@ def test_tower_pv_hybrid(site): 'grid': {'interconnect_kw': interconnection_size_kw_test}} solar_hybrid = {key: technologies_test[key] for key in ('tower', 'pv', 'grid')} - hybrid_plant = HybridSimulation(solar_hybrid, - site, - dispatch_options={'is_test_start_year': True, - 'is_test_end_year': True}) + hybrid_config["technologies"] = solar_hybrid + dispatch_options={'is_test_start_year': True, 'is_test_end_year': True} + hybrid_config["config"]["dispatch_options"] = dispatch_options + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system hybrid_plant.ppa_price = (0.12, ) # $/kWh hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.tower.value('helio_width', 8.0) hybrid_plant.tower.value('helio_height', 8.0) - hybrid_plant.simulate() + hi.simulate() aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values @@ -742,7 +760,7 @@ def test_tower_pv_hybrid(site): #assert npvs.hybrid == approx(-19216589, 1e3) -def test_trough_pv_hybrid(site): +def test_trough_pv_hybrid(hybrid_config): interconnection_size_kw_test = 50000 technologies_test = {'trough': {'cycle_capacity_kw': 50 * 1000, 'solar_multiple': 2.0, @@ -751,15 +769,15 @@ def test_trough_pv_hybrid(site): 'grid': {'interconnect_kw': interconnection_size_kw_test}} solar_hybrid = {key: technologies_test[key] for key in ('trough', 'pv', 'grid')} - hybrid_plant = HybridSimulation(solar_hybrid, - site, - dispatch_options={'is_test_start_year': True, - 'is_test_end_year': True}) - + hybrid_config["technologies"] = solar_hybrid + dispatch_options={'is_test_start_year': True, 'is_test_end_year': True} + hybrid_config["config"]["dispatch_options"] = dispatch_options + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system hybrid_plant.ppa_price = (0.12, ) # $/kWh hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() + hi.simulate() aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values @@ -773,7 +791,7 @@ def test_trough_pv_hybrid(site): #assert npvs.hybrid == approx(-19216589, 1e3) -def test_tower_pv_battery_hybrid(site): +def test_tower_pv_battery_hybrid(hybrid_config): interconnection_size_kw_test = 50000 technologies_test = {'tower': {'cycle_capacity_kw': 50 * 1000, 'solar_multiple': 2.0, @@ -784,17 +802,17 @@ def test_tower_pv_battery_hybrid(site): 'grid': {'interconnect_kw': interconnection_size_kw_test}} solar_hybrid = {key: technologies_test[key] for key in ('tower', 'pv', 'battery', 'grid')} - hybrid_plant = HybridSimulation(solar_hybrid, - site, - dispatch_options={'is_test_start_year': True, - 'is_test_end_year': True}) + dispatch_options={'is_test_start_year': True, 'is_test_end_year': True} + hybrid_config["technologies"] = solar_hybrid + hybrid_config["config"]["dispatch_options"] = dispatch_options + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system hybrid_plant.ppa_price = (0.12, ) # $/kWh hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.tower.value('helio_width', 10.0) hybrid_plant.tower.value('helio_height', 10.0) - hybrid_plant.simulate() + hi.simulate() aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values @@ -808,24 +826,32 @@ def test_tower_pv_battery_hybrid(site): #assert npvs.tower == approx(-13909363, 1e3) #assert npvs.hybrid == approx(-19216589, 1e3) -def test_hybrid_om_costs_error(site): +def test_hybrid_om_costs_error(hybrid_config): + technologies = hybrid_config["technologies"] wind_pv_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} - hybrid_plant = HybridSimulation(wind_pv_battery, - site, - dispatch_options={'battery_dispatch': 'one_cycle_heuristic'}) + dispatch_options={'battery_dispatch': 'one_cycle_heuristic'} + hybrid_config["technologies"] = wind_pv_battery + hybrid_config["config"]["dispatch_options"] = dispatch_options + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system hybrid_plant.ppa_price = (0.03, ) hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.battery._financial_model.value('om_production', (1,)) + try: - hybrid_plant.simulate() + hi.simulate() except ValueError as e: assert e -def test_hybrid_om_costs(site): +def test_hybrid_om_costs(hybrid_config): + technologies = hybrid_config["technologies"] wind_pv_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} - hybrid_plant = HybridSimulation(wind_pv_battery, - site, - dispatch_options={'battery_dispatch': 'one_cycle_heuristic'}) + dispatch_options={'battery_dispatch': 'one_cycle_heuristic'} + hybrid_config["technologies"] = wind_pv_battery + hybrid_config["config"]["dispatch_options"] = dispatch_options + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system + hybrid_plant.ppa_price = (0.03, ) hybrid_plant.pv.dc_degradation = [0] * 25 @@ -844,7 +870,9 @@ def test_hybrid_om_costs(site): hybrid_plant.wind.om_variable = 5 hybrid_plant.pv.om_variable = 2 hybrid_plant.battery.om_variable = 3 - hybrid_plant.simulate() + + hi.simulate() + var_om_costs = hybrid_plant.om_variable_expenses total_om_costs = hybrid_plant.om_total_expenses for i in range(len(var_om_costs.hybrid)): @@ -861,7 +889,7 @@ def test_hybrid_om_costs(site): hybrid_plant.wind.om_fixed = 5 hybrid_plant.pv.om_fixed = 2 hybrid_plant.battery.om_fixed = 3 - hybrid_plant.simulate() + hi.simulate() fixed_om_costs = hybrid_plant.om_fixed_expenses total_om_costs = hybrid_plant.om_total_expenses for i in range(len(fixed_om_costs.hybrid)): @@ -879,7 +907,7 @@ def test_hybrid_om_costs(site): hybrid_plant.wind.om_capacity = 5 hybrid_plant.pv.om_capacity = 2 hybrid_plant.battery.om_capacity = 3 - hybrid_plant.simulate() + hi.simulate() cap_om_costs = hybrid_plant.om_capacity_expenses total_om_costs = hybrid_plant.om_total_expenses for i in range(len(cap_om_costs.hybrid)): @@ -893,11 +921,15 @@ def test_hybrid_om_costs(site): hybrid_plant.pv.om_capacity = 0 hybrid_plant.battery.om_capacity = 0 -def test_hybrid_tax_incentives(site): +def test_hybrid_tax_incentives(hybrid_config): + technologies = hybrid_config["technologies"] wind_pv_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} - hybrid_plant = HybridSimulation(wind_pv_battery, - site, - dispatch_options={'battery_dispatch': 'one_cycle_heuristic'}) + dispatch_options={'battery_dispatch': 'one_cycle_heuristic'} + hybrid_config["technologies"] = wind_pv_battery + hybrid_config["config"]["dispatch_options"] = dispatch_options + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system + hybrid_plant.ppa_price = (0.03, ) hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.pv._financial_model.value('itc_fed_percent', 0.0) @@ -907,7 +939,8 @@ def test_hybrid_tax_incentives(site): hybrid_plant.wind._financial_model.value('ptc_fed_escal', 0) hybrid_plant.pv._financial_model.value('ptc_fed_escal', 0) hybrid_plant.battery._financial_model.value('ptc_fed_escal', 0) - hybrid_plant.simulate() + + hi.simulate() ptc_wind = hybrid_plant.wind._financial_model.value("cf_ptc_fed")[1] assert ptc_wind == approx(hybrid_plant.wind._financial_model.value("ptc_fed_amount")[0]*hybrid_plant.wind.annual_energy_kwh, rel=1e-3) @@ -925,13 +958,17 @@ def test_hybrid_tax_incentives(site): assert ptc_hybrid == approx(ptc_fed_amount * hybrid_plant.grid._financial_model.value('cf_energy_net')[1], rel=1e-3) -def test_capacity_credit(): +def test_capacity_credit(hybrid_config): + technologies = hybrid_config["technologies"] site = create_default_site_info(capacity_hours=capacity_credit_hours) wind_pv_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery')} wind_pv_battery['grid'] = { 'interconnect_kw': interconnection_size_kw } - hybrid_plant = HybridSimulation(wind_pv_battery, site) + hybrid_config["technologies"] = wind_pv_battery + hybrid_config["site"] = site + hi = HoppInterface(hybrid_config) + hybrid_plant = hi.system hybrid_plant.ppa_price = (0.03, ) hybrid_plant.pv.dc_degradation = [0] * 25 @@ -976,7 +1013,7 @@ def reinstate_orig_values(): assert hybrid_plant.interconnect_kw == 15e3 - hybrid_plant.simulate() + hi.simulate() total_gen_max_feasible = np.array(hybrid_plant.pv.gen_max_feasible) \ + np.array(hybrid_plant.wind.gen_max_feasible) \ From dfcfde397658c935ce6204bfbe13e70b75e0b373 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Tue, 17 Oct 2023 15:59:57 -0700 Subject: [PATCH 33/46] Update config structure and tests --- hopp/simulation/hybrid_simulation.py | 8 +- hopp/simulation/technologies/battery.py | 32 +- .../technologies/battery_stateless.py | 38 ++- .../technologies/detailed_pv_plant.py | 45 ++- .../technologies/dispatch/plot_tools.py | 60 ++-- hopp/simulation/technologies/grid.py | 9 +- .../technologies/mhk_wave_source.py | 6 +- hopp/simulation/technologies/pv_source.py | 14 +- tests/hopp/test_battery.py | 2 +- tests/hopp/test_csp.py | 46 ++- tests/hopp/test_custom_financial.py | 273 +++++++++--------- tests/hopp/test_dispatch.py | 131 ++++++--- tests/hopp/test_grid.py | 20 +- tests/hopp/test_hybrid.py | 145 +++++----- tests/hopp/test_wave.py | 10 +- 15 files changed, 494 insertions(+), 345 deletions(-) diff --git a/hopp/simulation/hybrid_simulation.py b/hopp/simulation/hybrid_simulation.py index 2f5646f64..ae1968562 100644 --- a/hopp/simulation/hybrid_simulation.py +++ b/hopp/simulation/hybrid_simulation.py @@ -1,11 +1,9 @@ from typing import Dict, Optional, Sequence, Union -from collections import OrderedDict import csv from pathlib import Path import json import numpy as np -import PySAM.GenericSystem as GenericSystem import PySAM.Singleowner as Singleowner from attrs import field, define @@ -200,7 +198,7 @@ def __attrs_post_init__(self): pv_config = self.tech_config.pv if pv_config is not None: - if not pv_config.use_pvwatts and isinstance(pv_config, DetailedPVConfig): + if isinstance(pv_config, DetailedPVConfig): self.pv = DetailedPVPlant(self.site, config=pv_config) # PVSAMv1 plant self.technologies["pv"] = self.pv else: @@ -246,7 +244,7 @@ def __attrs_post_init__(self): battery_config = self.tech_config.battery if battery_config is not None: - if not battery_config.tracking and isinstance(battery_config, BatteryStatelessConfig): + if isinstance(battery_config, BatteryStatelessConfig): self.battery = BatteryStateless(self.site, config=battery_config) self.technologies["battery"] = self.battery else: @@ -838,7 +836,7 @@ def capacity_factors(self) -> HybridSimulationOutput: hybrid_generation += self.trough.annual_energy_kwh hybrid_capacity += self.trough.system_capacity_kw if self.battery: - hybrid_generation += sum(self.battery.Outputs.gen) + hybrid_generation += sum(self.battery.outputs.gen) hybrid_capacity += self.battery.system_capacity_kw try: cf.grid = self.grid.capacity_factor_after_curtailment diff --git a/hopp/simulation/technologies/battery.py b/hopp/simulation/technologies/battery.py index 8a3b4188a..2211559e0 100644 --- a/hopp/simulation/technologies/battery.py +++ b/hopp/simulation/technologies/battery.py @@ -1,5 +1,5 @@ from dataclasses import dataclass, asdict -from typing import Optional, Sequence, List +from typing import Optional, Sequence, List, Union import numpy as np import pandas as pd @@ -8,7 +8,7 @@ import PySAM.BatteryTools as BatteryTools import PySAM.Singleowner as Singleowner from hopp.simulation.base import BaseClass -from hopp.simulation.technologies.financial import FinancialModelType +from hopp.simulation.technologies.financial import FinancialModelType, CustomFinancialModel from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.sites.site_info import SiteInfo @@ -70,22 +70,36 @@ class BatteryConfig(BaseClass): """ Configuration class for `Battery`. + Converts nested dicts into relevant instances for financial configurations. + Args: - tracking: must be False, otherwise BatteryStateless will be used instead + tracking: default True -> `Battery` system_capacity_kwh: Battery energy capacity [kWh] system_capacity_kw: Battery rated power capacity [kW] minimum_SOC: Minimum state of charge [%] maximum_SOC: Maximum state of charge [%] initial_SOC: Initial state of charge [%] - fin_model: Financial model + fin_model: Financial model. Can be any of the following: + - a dict representing a `CustomFinancialModel` + - an object representing a `CustomFinancialModel` or + `Singleowner.Singleowner` instance """ system_capacity_kwh: float = field(validator=gt_zero) system_capacity_kw: float = field(validator=gt_zero) - tracking: bool = field(default=False) + tracking: bool = field(default=True) minimum_SOC: float = field(default=10, validator=range_val(0, 100)) maximum_SOC: float = field(default=90, validator=range_val(0, 100)) initial_SOC: float = field(default=10, validator=range_val(0, 100)) - fin_model: Optional[FinancialModelType] = field(default=None) + fin_model: Optional[Union[dict, FinancialModelType]] = field(default=None) + + # converted + fin_model_inst: Optional[FinancialModelType] = field(init=False, default=None) + + def __attrs_post_init__(self): + if isinstance(self.fin_model, dict): + self.fin_model_inst = CustomFinancialModel(self.fin_model) + else: + self.fin_model_inst = self.fin_model @define @@ -113,7 +127,7 @@ def __attrs_post_init__(self): self.system_model = BatteryModel.default(self._chemistry) if self.config.fin_model is not None: - self.financial_model = self.import_financial_model(self.config.fin_model, self.system_model, self.config_name) + self.financial_model = self.import_financial_model(self.config.fin_model_inst, self.system_model, self.config_name) else: self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) @@ -270,7 +284,7 @@ def simulate_with_dispatch(self, n_periods: int, sim_start_time: Optional[int] = for d in range(days_in_period): self.outputs.dispatch_lifecycles_per_day[start_day + d] = self.dispatch.lifecycles[d] - # logger.info("Battery Outputs at start time {}".format(sim_start_time, self.outputs)) + # logger.info("battery.outputs at start time {}".format(sim_start_time, self.outputs)) def simulate_power(self, time_step=None): """ @@ -288,7 +302,7 @@ def simulate_power(self, time_step=None): def update_battery_stored_values(self, time_step): """ - Stores Stateful battery outputs at time step provided. + Stores Stateful battery.outputs at time step provided. Args: time_step: time step where outputs will be stored. diff --git a/hopp/simulation/technologies/battery_stateless.py b/hopp/simulation/technologies/battery_stateless.py index 4e64c02ec..1fd5d4743 100644 --- a/hopp/simulation/technologies/battery_stateless.py +++ b/hopp/simulation/technologies/battery_stateless.py @@ -1,4 +1,4 @@ -from typing import Sequence, List, Optional +from typing import Sequence, List, Optional, Union from dataclasses import dataclass, asdict from attrs import define, field @@ -6,8 +6,9 @@ from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.power_source import PowerSource -from hopp.simulation.technologies.battery import BatteryConfig from hopp.utilities.log import hybrid_logger as logger +from hopp.utilities.validators import gt_zero, range_val +from hopp.simulation.base import BaseClass @dataclass @@ -26,7 +27,7 @@ class BatteryStatelessOutputs: lifecycles_per_day: number of cycles per day """ def __init__(self, n_timesteps, n_periods_per_day): - """Class for storing battery outputs.""" + """Class for storing battery.outputs.""" self.I = [0.0] * n_timesteps self.P = [0.0] * n_timesteps self.SOC = [0.0] * n_timesteps @@ -37,20 +38,39 @@ def export(self): @define -class BatteryStatelessConfig(BatteryConfig): +class BatteryStatelessConfig(BaseClass): """ Configuration class for `BatteryStateless`. + Converts nested dicts into relevant financial configurations. + Args: - tracking: must be False, otherwise BatteryStateless will be used instead + tracking: default False -> `BatteryStateless` system_capacity_kwh: Battery energy capacity [kWh] system_capacity_kw: Battery rated power capacity [kW] minimum_SOC: Minimum state of charge [%] maximum_SOC: Maximum state of charge [%] initial_SOC: Initial state of charge [%] - fin_model: Financial Model. Unlike `BatteryConfig`, a `CustomFinancialModel` is required + fin_model: Financial model. Can be any of the following: + - a dict representing a `CustomFinancialModel` + - an object representing a `CustomFinancialModel` instance """ - fin_model: CustomFinancialModel = field(default=None) + system_capacity_kwh: float = field(validator=gt_zero) + system_capacity_kw: float = field(validator=gt_zero) + tracking: bool = field(default=False) + minimum_SOC: float = field(default=10, validator=range_val(0, 100)) + maximum_SOC: float = field(default=90, validator=range_val(0, 100)) + initial_SOC: float = field(default=10, validator=range_val(0, 100)) + fin_model: Union[dict, CustomFinancialModel] = field(default=None) + + # converted + fin_model_inst: CustomFinancialModel = field(init=False, default=None) + + def __attrs_post_init__(self): + if isinstance(self.fin_model, dict): + self.fin_model_inst = CustomFinancialModel(self.fin_model) + else: + self.fin_model_inst = self.fin_model @define @@ -81,7 +101,7 @@ class BatteryStateless(PowerSource): def __attrs_post_init__(self): system_model = self - self.financial_model = self.import_financial_model(self.config.fin_model, system_model, None) + self.financial_model = self.import_financial_model(self.config.fin_model_inst, system_model, None) self._system_capacity_kw = self.config.system_capacity_kw self._system_capacity_kwh = self.config.system_capacity_kwh @@ -121,7 +141,7 @@ def simulate_with_dispatch(self, n_periods: int, sim_start_time: Optional[int] = for d in range(days_in_period): self.outputs.lifecycles_per_day[start_day + d] = self.dispatch.lifecycles[d] - # logger.info("Battery Outputs at start time {}".format(sim_start_time, self.outputs)) + # logger.info("battery.outputs at start time {}".format(sim_start_time, self.outputs)) def simulate_power(self, time_step=None): """ diff --git a/hopp/simulation/technologies/detailed_pv_plant.py b/hopp/simulation/technologies/detailed_pv_plant.py index 8ee3751f1..0388a9d33 100644 --- a/hopp/simulation/technologies/detailed_pv_plant.py +++ b/hopp/simulation/technologies/detailed_pv_plant.py @@ -4,11 +4,10 @@ import PySAM.Pvsamv1 as Pvsam import PySAM.Singleowner as Singleowner -from hopp.simulation.technologies.pv_source import PVConfig -from hopp.simulation.technologies.financial import FinancialModelType +from hopp.simulation.technologies.financial import FinancialModelType, CustomFinancialModel from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.power_source import PowerSource -from hopp.simulation.technologies.layout.pv_layout import PVLayout +from hopp.simulation.technologies.layout.pv_layout import PVLayout, PVGridParameters from hopp.simulation.technologies.layout.pv_design_utils import ( align_from_capacity, get_inverter_power, verify_capacity_from_electrical_parameters ) @@ -18,28 +17,64 @@ from hopp.simulation.technologies.layout.pv_inverter import ( set_inverter_attribs, get_inverter_attribs ) +from hopp.simulation.base import BaseClass from hopp.tools.utils import flatten_dict @define -class DetailedPVConfig(PVConfig): +class DetailedPVConfig(BaseClass): """ Configuration class for `DetailedPVPlant`. + Converts nested dicts into relevant instances for layout and + financial configurations. + Args: system_capacity_kw: Design system capacity use_pvwatts: Whether to use PVWatts (defaults to True). If False, this config should be used in a `DetailedPVPlant`. layout_params: Optional layout parameters layout_model: Optional layout model instance - fin_model: Optional financial model instance + fin_model: Optional financial model. Can be any of the following: + - a string representing an argument to `Singleowner.default` + - a dict representing a `CustomFinancialModel` + - an object representing a `CustomFinancialModel` or + `Singleowner.Singleowner` instance tech_config: Optional dict with more detailed system configuration """ system_capacity_kw: Optional[float] = field(default=None) tech_config: Optional[dict] = field(default=None) + use_pvwatts: bool = field(default=True) + layout_params: Optional[Union[dict, PVGridParameters]] = field(default=None) + layout_model: Optional[Union[dict, PVLayout]] = field(default=None) + fin_model: Optional[Union[str, dict, FinancialModelType]] = field(default=None) + + # converted instances + fin_model_inst: Optional[FinancialModelType] = field(init=False) + layout_params_inst: Optional[PVGridParameters] = field(init=False) + layout_model_inst: Optional[PVLayout] = field(init=False) + + def __attrs_post_init__(self): + if isinstance(self.fin_model, str): + self.fin_model_inst = Singleowner.default(self.fin_model) + elif isinstance(self.fin_model, dict): + self.fin_model_inst = CustomFinancialModel(self.fin_model) + else: + self.fin_model_inst = self.fin_model + + if isinstance(self.layout_params, dict): + self.layout_params_inst = PVGridParameters(**self.layout_params) + else: + self.layout_params_inst = self.layout_params + + if isinstance(self.layout_model, dict): + self.layout_model_inst = PVLayout(**self.layout_model) + else: + self.layout_model_inst = self.layout_model + @define class DetailedPVPlant(PowerSource): diff --git a/hopp/simulation/technologies/dispatch/plot_tools.py b/hopp/simulation/technologies/dispatch/plot_tools.py index 9712650c6..36d1255ff 100644 --- a/hopp/simulation/technologies/dispatch/plot_tools.py +++ b/hopp/simulation/technologies/dispatch/plot_tools.py @@ -25,10 +25,10 @@ def plot_battery_output(hybrid: HybridSimulation, if not hybrid.dispatch_builder.options.battery_dispatch == 'simple': control_attr = 'I' - axs[p].plot(time, getattr(hybrid.battery.Outputs, 'dispatch_'+control_attr)[time_slice], 'k', label='Control') - response = [x/1000. for x in getattr(hybrid.battery.Outputs, control_attr)[time_slice]] + axs[p].plot(time, getattr(hybrid.battery.outputs, 'dispatch_'+control_attr)[time_slice], 'k', label='Control') + response = [x/1000. for x in getattr(hybrid.battery.outputs, control_attr)[time_slice]] axs[p].plot(time, response, 'k--', label='Response') - axs[p].fill_between(time, response, getattr(hybrid.battery.Outputs, 'dispatch_'+control_attr)[time_slice], + axs[p].fill_between(time, response, getattr(hybrid.battery.outputs, 'dispatch_'+control_attr)[time_slice], color='red', alpha=0.5) axs[p].set_xlim([start, end]) @@ -39,8 +39,8 @@ def plot_battery_output(hybrid: HybridSimulation, axs[p].legend(fontsize=font_size - 2, loc='upper left') p += 1 - control_error = [r/1000. - c for r, c in zip(getattr(hybrid.battery.Outputs, control_attr)[time_slice], - getattr(hybrid.battery.Outputs, 'dispatch_'+control_attr)[time_slice])] + control_error = [r/1000. - c for r, c in zip(getattr(hybrid.battery.outputs, control_attr)[time_slice], + getattr(hybrid.battery.outputs, 'dispatch_'+control_attr)[time_slice])] axs[p].tick_params(which='both', labelsize=font_size) axs[p].fill_between(time, control_error, color='red', alpha=0.5) axs[p].plot(time, control_error, 'k') @@ -52,9 +52,9 @@ def plot_battery_output(hybrid: HybridSimulation, p += 1 axs[p].tick_params(which='both', labelsize=font_size) - axs[p].plot(time, hybrid.battery.Outputs.SOC[time_slice], 'r', label="Stateful") - axs[p].fill_between(time, hybrid.battery.Outputs.SOC[time_slice], color='red', alpha=0.5) - axs[p].plot(time, hybrid.battery.Outputs.dispatch_SOC[time_slice], 'b.', label="Dispatch") + axs[p].plot(time, hybrid.battery.outputs.SOC[time_slice], 'r', label="Stateful") + axs[p].fill_between(time, hybrid.battery.outputs.SOC[time_slice], color='red', alpha=0.5) + axs[p].plot(time, hybrid.battery.outputs.dispatch_SOC[time_slice], 'b.', label="Dispatch") axs[p].set_xlim([start, end]) axs[p].xaxis.set_ticks(list(range(start, end, hybrid.site.n_periods_per_day))) @@ -63,8 +63,8 @@ def plot_battery_output(hybrid: HybridSimulation, axs[p].legend(fontsize=font_size-2, loc='upper left') p += 1 - soc_error = [a - d for a, d in zip(hybrid.battery.Outputs.SOC[time_slice], - hybrid.battery.Outputs.dispatch_SOC[time_slice])] + soc_error = [a - d for a, d in zip(hybrid.battery.outputs.SOC[time_slice], + hybrid.battery.outputs.dispatch_SOC[time_slice])] axs[p].tick_params(which='both', labelsize=font_size) axs[p].fill_between(time, soc_error, color='red', alpha=0.5) axs[p].plot(time, soc_error, 'k') @@ -76,7 +76,7 @@ def plot_battery_output(hybrid: HybridSimulation, p += 1 axs[p].tick_params(which='both', labelsize=font_size) - axs[p].plot(time, hybrid.battery.Outputs.T_batt[time_slice], 'r') + axs[p].plot(time, hybrid.battery.outputs.T_batt[time_slice], 'r') axs[p].set_xlim([start, end]) axs[p].xaxis.set_ticks(list(range(start, end, hybrid.site.n_periods_per_day))) @@ -110,14 +110,14 @@ def plot_battery_dispatch_error(hybrid: HybridSimulation, sub_plot = 1 plt.subplot(n_rows, n_cols, sub_plot) plt.plot([0, 100.0], [0, 100.0], 'r--') - plt.scatter(hybrid.battery.Outputs.dispatch_SOC, hybrid.battery.Outputs.SOC, alpha=0.2) + plt.scatter(hybrid.battery.outputs.dispatch_SOC, hybrid.battery.outputs.SOC, alpha=0.2) plt.tick_params(which='both', labelsize=font_size) plt.ylabel('SOC\n(state model) [%]', multialignment='center', fontsize=font_size) plt.xlabel('SOC (dispatch model) [%]', fontsize=font_size) sub_plot += 1 - dispatch_P_MW = hybrid.battery.Outputs.dispatch_P - P_MW = [x / 1000. for x in hybrid.battery.Outputs.P] + dispatch_P_MW = hybrid.battery.outputs.dispatch_P + P_MW = [x / 1000. for x in hybrid.battery.outputs.P] plt.subplot(n_rows, n_cols, sub_plot) maxpoint = max(max(dispatch_P_MW), max(P_MW)) minpoint = min(min(dispatch_P_MW), min(P_MW)) @@ -137,8 +137,8 @@ def plot_battery_dispatch_error(hybrid: HybridSimulation, if not hybrid.dispatch_builder.options.battery_dispatch == 'simple': plt.subplot(n_rows, n_cols, sub_plot) - dispatch_I_kA = [x / 1000. for x in hybrid.battery.Outputs.dispatch_I] - I_kA = [x / 1000. for x in hybrid.battery.Outputs.I] + dispatch_I_kA = [x / 1000. for x in hybrid.battery.outputs.dispatch_I] + I_kA = [x / 1000. for x in hybrid.battery.outputs.I] maxpoint = max(max(dispatch_I_kA), max(I_kA)) minpoint = min(min(dispatch_I_kA), min(I_kA)) maxpoint *= 1.025 @@ -155,7 +155,7 @@ def plot_battery_dispatch_error(hybrid: HybridSimulation, plt.xlabel('Current (dispatch model) [kA]', fontsize=font_size) sub_plot += 1 - soc_error = [state - dispatch for (state, dispatch) in zip(hybrid.battery.Outputs.SOC, hybrid.battery.Outputs.dispatch_SOC)] + soc_error = [state - dispatch for (state, dispatch) in zip(hybrid.battery.outputs.SOC, hybrid.battery.outputs.dispatch_SOC)] plt.subplot(n_rows, n_cols, sub_plot) plt.hist(soc_error, alpha=0.5) plt.tick_params(which='both', labelsize=font_size) @@ -206,7 +206,7 @@ def plot_battery_dispatch_error(hybrid: HybridSimulation, sub_plot += 1 plt.subplot(n_rows, n_cols, sub_plot) - plt.scatter(hybrid.battery.Outputs.SOC, soc_error, alpha=0.5) + plt.scatter(hybrid.battery.outputs.SOC, soc_error, alpha=0.5) plt.plot([0, 100], [0, 0], 'k--') plt.tick_params(which='both', labelsize=font_size) plt.ylabel('SOC Error\n(state) - (dispatch) [%]', multialignment='center', fontsize=font_size) @@ -214,8 +214,8 @@ def plot_battery_dispatch_error(hybrid: HybridSimulation, sub_plot += 1 plt.subplot(n_rows, n_cols, sub_plot) - plt.scatter(hybrid.battery.Outputs.SOC, cP_err, alpha=0.5, label='Charging') - plt.scatter(hybrid.battery.Outputs.SOC, dcP_err, alpha=0.5, label='Discharging') + plt.scatter(hybrid.battery.outputs.SOC, cP_err, alpha=0.5, label='Charging') + plt.scatter(hybrid.battery.outputs.SOC, dcP_err, alpha=0.5, label='Discharging') plt.tick_params(which='both', labelsize=font_size) plt.ylabel('Power Error\n(state) - (dispatch) [MW]', multialignment='center', fontsize=font_size) plt.xlabel('SOC (state model) [%]', fontsize=font_size) @@ -224,8 +224,8 @@ def plot_battery_dispatch_error(hybrid: HybridSimulation, if not hybrid.dispatch_builder.options.battery_dispatch == 'simple': plt.subplot(n_rows, n_cols, sub_plot) - plt.scatter(hybrid.battery.Outputs.SOC, cI_err, alpha=0.5, label='Charging') - plt.scatter(hybrid.battery.Outputs.SOC, dcI_err, alpha=0.5, label='Discharging') + plt.scatter(hybrid.battery.outputs.SOC, cI_err, alpha=0.5, label='Charging') + plt.scatter(hybrid.battery.outputs.SOC, dcI_err, alpha=0.5, label='Discharging') plt.tick_params(which='both', labelsize=font_size) plt.ylabel('Current Error\n(state) - (dispatch) [MW]', multialignment='center', fontsize=font_size) plt.xlabel('SOC (state model) [%]', fontsize=font_size) @@ -290,8 +290,8 @@ def plot_generation_profile(hybrid: HybridSimulation, # Battery action plt.subplot(3, 1, 2) plt.tick_params(which='both', labelsize=font_size) - discharge = [(p > 0) * p * power_scale for p in hybrid.battery.Outputs.P[time_slice]] - charge = [(p < 0) * p * power_scale for p in hybrid.battery.Outputs.P[time_slice]] + discharge = [(p > 0) * p * power_scale for p in hybrid.battery.outputs.P[time_slice]] + charge = [(p < 0) * p * power_scale for p in hybrid.battery.outputs.P[time_slice]] plt.bar(time, discharge, width=0.9, color=discharge_color, edgecolor='white', label='Battery Discharge') plt.bar(time, charge, width=0.9, color=charge_color, edgecolor='white', label='Battery Charge') plt.xlim([start, end]) @@ -303,8 +303,8 @@ def plot_generation_profile(hybrid: HybridSimulation, ax1.set_ylabel('Power (MW)', fontsize=font_size) ax2 = ax1.twinx() - ax2.plot(time, hybrid.battery.Outputs.SOC[time_slice], 'k', label='State-of-Charge') - ax2.plot(time, hybrid.battery.Outputs.dispatch_SOC[time_slice], '.', label='Dispatch') + ax2.plot(time, hybrid.battery.outputs.SOC[time_slice], 'k', label='State-of-Charge') + ax2.plot(time, hybrid.battery.outputs.dispatch_SOC[time_slice], '.', label='Dispatch') ax2.set_ylabel('State-of-Charge (-)', fontsize=font_size) ax2.legend(fontsize=font_size-2, loc='upper right') plt.title('Battery Power Flow', fontsize=font_size) @@ -363,8 +363,8 @@ def plot_battery_generation(hybrid: HybridSimulation, # Battery action plt.subplot(2, 1, 1) plt.tick_params(which='both', labelsize=font_size) - discharge = [(p > 0) * p * power_scale for p in hybrid.battery.Outputs.P[time_slice]] - charge = [(p < 0) * p * power_scale for p in hybrid.battery.Outputs.P[time_slice]] + discharge = [(p > 0) * p * power_scale for p in hybrid.battery.outputs.P[time_slice]] + charge = [(p < 0) * p * power_scale for p in hybrid.battery.outputs.P[time_slice]] plt.bar(time, discharge, width=0.9, color=discharge_color, edgecolor='white', label='Battery Discharge') plt.bar(time, charge, width=0.9, color=charge_color, edgecolor='white', label='Battery Charge') plt.xlim([start, end]) @@ -376,8 +376,8 @@ def plot_battery_generation(hybrid: HybridSimulation, ax1.set_ylabel('Power (MW)', fontsize=font_size) ax2 = ax1.twinx() - ax2.plot(time, hybrid.battery.Outputs.SOC[time_slice], 'k', label='State-of-Charge') - ax2.plot(time, hybrid.battery.Outputs.dispatch_SOC[time_slice], '.', label='Dispatch') + ax2.plot(time, hybrid.battery.outputs.SOC[time_slice], 'k', label='State-of-Charge') + ax2.plot(time, hybrid.battery.outputs.dispatch_SOC[time_slice], '.', label='Dispatch') ax2.set_ylabel('State-of-Charge (-)', fontsize=font_size) ax2.legend(fontsize=font_size-2, loc='upper right') plt.title('Battery Power Flow', fontsize=font_size) diff --git a/hopp/simulation/technologies/grid.py b/hopp/simulation/technologies/grid.py index b08011060..4185e4c56 100644 --- a/hopp/simulation/technologies/grid.py +++ b/hopp/simulation/technologies/grid.py @@ -20,7 +20,12 @@ class GridConfig(BaseClass): Args: interconnect_kw: grid interconnection limit (kW) - fin_model: financial model + fin_model: Financial model. Can be any of the following: + - a string representing an argument to `Singleowner.default` + - a dict representing a `CustomFinancialModel` + - an object representing a `CustomFinancialModel` or + `Singleowner.Singleowner` instance + """ interconnect_kw: float = field(validator=gt_zero) fin_model: Optional[Union[dict, FinancialModelType]] = None @@ -62,7 +67,7 @@ def __attrs_post_init__(self): if self.config.fin_model is not None: # if 'fin_model' in grid_config.keys(): - if isinstance(self.config.fin_model, Singleowner.Singleowner): + if isinstance(self.config.fin_model_inst, Singleowner.Singleowner): self.financial_model = Singleowner.from_existing(self.system_model, "GenericSystemSingleOwner") self.financial_model.assign(self.config.fin_model_inst.export()) else: diff --git a/hopp/simulation/technologies/mhk_wave_source.py b/hopp/simulation/technologies/mhk_wave_source.py index 0806c59c3..7dfc54a7f 100644 --- a/hopp/simulation/technologies/mhk_wave_source.py +++ b/hopp/simulation/technologies/mhk_wave_source.py @@ -22,8 +22,10 @@ class MHKConfig(BaseClass): device_rating_kw: Rated power of the MHK device in kilowatts num_devices: Number of MHK devices in the system wave_power_matrix: Wave power matrix - fin_model: a financial model object to use instead of singleowner - model #TODO: Update with ProFAST + fin_model: Optional financial model. Can be any of the following: + - a dict representing a `CustomFinancialModel` + - an object representing a `CustomFinancialModel` instance + #TODO: Update with ProFAST layout_mode: #TODO: Add layout_mode loss_array_spacing: Array spacing loss in % (default: 0) loss_resource_overprediction: Resource overprediction loss diff --git a/hopp/simulation/technologies/pv_source.py b/hopp/simulation/technologies/pv_source.py index 917f3d794..4ce8319fd 100644 --- a/hopp/simulation/technologies/pv_source.py +++ b/hopp/simulation/technologies/pv_source.py @@ -16,8 +16,10 @@ @define class PVConfig(BaseClass): """ - Configuration class for PVPlant. Converts nested dicts into relevant instances for - layout and financial configurations. + Configuration class for PVPlant. + + Converts nested dicts into relevant instances for layout and + financial configurations. Args: system_capacity_kw: Design system capacity @@ -25,9 +27,11 @@ class PVConfig(BaseClass): config should be used in a `DetailedPVPlant`. layout_params: Optional layout parameters layout_model: Optional layout model instance - fin_model: Optional financial model config. Can either be a string representing - a `Singleowner` default config, or a dict representing a - `CustomFinancialModel` + fin_model: Financial model. Can be any of the following: + - a string representing an argument to `Singleowner.default` + - a dict representing a `CustomFinancialModel` + - an object representing a `CustomFinancialModel` or + `Singleowner.Singleowner` instance """ system_capacity_kw: float = field(validator=gt_zero) diff --git a/tests/hopp/test_battery.py b/tests/hopp/test_battery.py index 6c5a9566e..9eda56a50 100644 --- a/tests/hopp/test_battery.py +++ b/tests/hopp/test_battery.py @@ -26,7 +26,7 @@ def test_battery_config(subtests): assert config.system_capacity_kw == batt_kw assert config.system_capacity_kwh == batt_kw * 4 - assert config.tracking is False + assert config.tracking is True assert config.minimum_SOC == 10. assert config.maximum_SOC == 90. assert config.initial_SOC == 10. diff --git a/tests/hopp/test_csp.py b/tests/hopp/test_csp.py index 390a311b0..6809f98ad 100644 --- a/tests/hopp/test_csp.py +++ b/tests/hopp/test_csp.py @@ -5,7 +5,7 @@ from hopp.simulation.technologies.dispatch.power_sources.csp_dispatch import CspDispatch from hopp.simulation.technologies.tower_source import TowerPlant, TowerConfig from hopp.simulation.technologies.trough_source import TroughPlant, TroughConfig -from hopp.simulation.hybrid_simulation import HybridSimulation +from hopp.tools.hopp_interface import HoppInterface from tests.hopp.utils import create_default_site_info @@ -178,10 +178,18 @@ def test_tower_with_dispatch_model(site): 'optimize_field_before_sim': False}, 'grid': {'interconnect_kw': interconnection_size_kw}} - system = HybridSimulation(technologies, - site, - dispatch_options={'is_test_start_year': True, - 'is_test_end_year': True}) + hopp_config = { + "site": site, + "technologies": technologies, + "config": { + "dispatch_options": { + 'is_test_start_year': True, + 'is_test_end_year': True + } + } + } + hi = HoppInterface(hopp_config) + system = hi.system system.tower.value('helio_width', 10.0) system.tower.value('helio_height', 10.0) @@ -228,10 +236,18 @@ def test_trough_with_dispatch_model(site): 'tes_hours': 6.0}, 'grid': {'interconnect_kw': interconnection_size_kw}} - system = HybridSimulation(technologies, - site, - dispatch_options={'is_test_start_year': True, - 'is_test_end_year': True}) + hopp_config = { + "site": site, + "technologies": technologies, + "config": { + "dispatch_options": { + 'is_test_start_year': True, + 'is_test_end_year': True + } + } + } + hi = HoppInterface(hopp_config) + system = hi.system system.ppa_price = (0.12,) system.simulate() @@ -271,9 +287,15 @@ def test_tower_field_optimize_before_sim(site): 'grid': {'interconnect_kw': interconnection_size_kw}} system = {key: technologies[key] for key in ('tower', 'grid')} - system = HybridSimulation(system, - site, - dispatch_options={'is_test_start_year': True}) + hopp_config = { + "site": site, + "technologies": system, + "config": { + "dispatch_options": {'is_test_start_year': True} + } + } + hi = HoppInterface(hopp_config) + system = hi.system system.ppa_price = (0.12,) system.tower.value('helio_width', 10.0) diff --git a/tests/hopp/test_custom_financial.py b/tests/hopp/test_custom_financial.py index 23441b2ff..f9d305baf 100644 --- a/tests/hopp/test_custom_financial.py +++ b/tests/hopp/test_custom_financial.py @@ -2,9 +2,9 @@ import json from hopp import ROOT_DIR -from hopp.simulation.technologies.layout.hybrid_layout import PVGridParameters, WindBoundaryGridParameters +from hopp.tools.hopp_interface import HoppInterface +from hopp.simulation.technologies.layout.hybrid_layout import WindBoundaryGridParameters from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel -from hopp.simulation.hybrid_simulation import HybridSimulation from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant, DetailedPVConfig from hopp.simulation.technologies.grid import Grid from tests.hopp.utils import create_default_site_info, DEFAULT_FIN_CONFIG @@ -37,41 +37,32 @@ def test_detailed_pv(site): with open(pvsamv1_defaults_file, 'r') as f: tech_config = json.load(f) - layout_params = PVGridParameters(x_position=0.5, - y_position=0.5, - aspect_power=0, - gcr=0.3, - s_buffer=2, - x_buffer=2) interconnect_kw = 150e6 - - config = DetailedPVConfig.from_dict({ - 'tech_config': tech_config, - 'layout_params': layout_params, - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), - }) - detailed_pvplant = DetailedPVPlant( - site=site, - config=config - ) - - grid_source = Grid( - site=site, - config={ - 'interconnect_kw': interconnect_kw, - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), - } - ) - - power_sources = { - 'pv': { - 'pv_plant': detailed_pvplant, - }, - 'grid': { - 'grid_source': grid_source + hopp_config = { + "site": site, + "technologies": { + "pv": { + 'use_pvwatts': False, + 'tech_config': tech_config, + 'layout_params': { + "x_position": 0.5, + "y_position": 0.5, + "aspect_power": 0, + "gcr": 0.3, + "s_buffer": 2, + "x_buffer": 2 + }, + 'fin_model': DEFAULT_FIN_CONFIG, + }, + "grid": { + 'interconnect_kw': interconnect_kw, + 'fin_model': DEFAULT_FIN_CONFIG, + } } } - hybrid_plant = HybridSimulation(power_sources, site) + + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system # Verify technology and financial parameters are linked, specifically testing 'analysis_period' analysis_period_orig = hybrid_plant.pv.value('analysis_period') @@ -93,7 +84,9 @@ def test_detailed_pv(site): hybrid_plant.layout.plot() hybrid_plant.ppa_price = (0.01, ) hybrid_plant.pv.dc_degradation = [0] * 25 + hybrid_plant.simulate() + aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values assert aeps.pv == approx(annual_energy_expected, 1e-3) @@ -116,45 +109,50 @@ def test_hybrid_simple_pv_with_wind(site): pv_kw = 50000 wind_kw = 10000 - grid_source = Grid( - site=site, - config={ - 'interconnect_kw': interconnect_kw, - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), - } - ) - power_sources = { 'pv': { 'system_capacity_kw': pv_kw, - 'layout_params': PVGridParameters(x_position=0.5, - y_position=0.5, - aspect_power=0, - gcr=0.5, - s_buffer=2, - x_buffer=2), - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + 'layout_params': { + "x_position": 0.5, + "y_position": 0.5, + "aspect_power": 0, + "gcr": 0.5, + "s_buffer": 2, + "x_buffer": 2 + }, + 'fin_model': DEFAULT_FIN_CONFIG, }, 'wind': { 'num_turbines': 5, 'turbine_rating_kw': wind_kw / 5, 'layout_mode': 'boundarygrid', - 'layout_params': WindBoundaryGridParameters(border_spacing=2, - border_offset=0.5, - grid_angle=0.5, - grid_aspect_power=0.5, - row_phase_offset=0.5), - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + 'layout_params': { + "border_spacing": 2, + "border_offset": 0.5, + "grid_angle": 0.5, + "grid_aspect_power": 0.5, + "row_phase_offset": 0.5 + }, + 'fin_model': DEFAULT_FIN_CONFIG, }, 'grid': { - 'grid_source': grid_source, + 'interconnect_kw': interconnect_kw, + 'fin_model': DEFAULT_FIN_CONFIG, } } - hybrid_plant = HybridSimulation(power_sources, site) + + hopp_config = { + "site": site, + "technologies": power_sources + } + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system hybrid_plant.layout.plot() hybrid_plant.ppa_price = (0.01, ) hybrid_plant.pv.dc_degradation = [0] * 25 + hybrid_plant.simulate() + aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values assert aeps.pv == approx(annual_energy_expected_pv, 1e-3) @@ -185,55 +183,53 @@ def test_hybrid_detailed_pv_with_wind(site): tech_config['inverter_count'] = 10 tech_config['subarray1_nstrings'] = 2687 - layout_params = PVGridParameters(x_position=0.5, - y_position=0.5, - aspect_power=0, - gcr=0.3, - s_buffer=2, - x_buffer=2) - - config = DetailedPVConfig.from_dict({ - 'tech_config': tech_config, - 'layout_params': layout_params, - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), - }) - detailed_pvplant = DetailedPVPlant( - site=site, - config=config - ) - - grid_source = Grid( - site=site, - config={ - 'interconnect_kw': interconnect_kw, - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), - } - ) + layout_params = { + "x_position": 0.5, + "y_position": 0.5, + "aspect_power": 0, + "gcr": 0.3, + "s_buffer": 2, + "x_buffer": 2 + } power_sources = { 'pv': { - 'pv_plant': detailed_pvplant, + 'use_pvwatts': False, + 'tech_config': tech_config, + 'layout_params': layout_params, + 'fin_model': DEFAULT_FIN_CONFIG, }, 'wind': { 'num_turbines': 5, 'turbine_rating_kw': wind_kw / 5, 'layout_mode': 'boundarygrid', - 'layout_params': WindBoundaryGridParameters(border_spacing=2, - border_offset=0.5, - grid_angle=0.5, - grid_aspect_power=0.5, - row_phase_offset=0.5), - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + 'layout_params': { + "border_spacing": 2, + "border_offset": 0.5, + "grid_angle": 0.5, + "grid_aspect_power": 0.5, + "row_phase_offset": 0.5 + }, + 'fin_model': DEFAULT_FIN_CONFIG, }, 'grid': { - 'grid_source': grid_source, + 'interconnect_kw': interconnect_kw, + 'fin_model': DEFAULT_FIN_CONFIG, } } - hybrid_plant = HybridSimulation(power_sources, site) + hopp_config = { + "site": site, + "technologies": power_sources + } + + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system hybrid_plant.layout.plot() hybrid_plant.ppa_price = (0.01, ) hybrid_plant.pv.dc_degradation = [0] * 25 + hybrid_plant.simulate() + sizes = hybrid_plant.system_capacity_kw aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values @@ -266,41 +262,52 @@ def test_hybrid_simple_pv_with_wind_storage_dispatch(site): power_sources = { 'pv': { 'system_capacity_kw': pv_kw, - 'layout_params': PVGridParameters(x_position=0.5, - y_position=0.5, - aspect_power=0, - gcr=0.5, - s_buffer=2, - x_buffer=2), - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + 'layout_params': { + "x_position": 0.5, + "y_position": 0.5, + "aspect_power": 0, + "gcr": 0.5, + "s_buffer": 2, + "x_buffer": 2 + }, + 'fin_model': DEFAULT_FIN_CONFIG, }, 'wind': { 'num_turbines': 5, 'turbine_rating_kw': wind_kw / 5, 'layout_mode': 'boundarygrid', - 'layout_params': WindBoundaryGridParameters(border_spacing=2, - border_offset=0.5, - grid_angle=0.5, - grid_aspect_power=0.5, - row_phase_offset=0.5), - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + 'layout_params': { + "border_spacing": 2, + "border_offset": 0.5, + "grid_angle": 0.5, + "grid_aspect_power": 0.5, + "row_phase_offset": 0.5 + }, + 'fin_model': DEFAULT_FIN_CONFIG, }, 'battery': { 'system_capacity_kwh': batt_kw * 4, 'system_capacity_kw': batt_kw, - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + 'fin_model': DEFAULT_FIN_CONFIG, }, 'grid': { 'interconnect_kw': interconnect_kw, - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + 'fin_model': DEFAULT_FIN_CONFIG, } } - hybrid_plant = HybridSimulation(power_sources, site) + hopp_config = { + "site": site, + "technologies": power_sources + } + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system hybrid_plant.layout.plot() hybrid_plant.battery.dispatch.lifecycle_cost_per_kWh_cycle = 0.01 hybrid_plant.ppa_price = (0.03, ) hybrid_plant.pv.dc_degradation = [0] * 25 + hybrid_plant.simulate() + sizes = hybrid_plant.system_capacity_kw aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values @@ -340,52 +347,56 @@ def test_hybrid_detailed_pv_with_wind_storage_dispatch(site): tech_config['inverter_count'] = 10 tech_config['subarray1_nstrings'] = 2687 - config = DetailedPVConfig.from_dict({ - 'tech_config': tech_config, - 'layout_params': PVGridParameters(x_position=0.5, - y_position=0.5, - aspect_power=0, - gcr=0.5, - s_buffer=2, - x_buffer=2), - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), - }) - detailed_pvplant = DetailedPVPlant( - site=site, - config=config - ) - power_sources = { 'pv': { - 'pv_plant': detailed_pvplant, + 'use_pvwatts': False, + 'tech_config': tech_config, + 'layout_params': { + "x_position": 0.5, + "y_position": 0.5, + "aspect_power": 0, + "gcr": 0.5, + "s_buffer": 2, + "x_buffer": 2 + }, + 'fin_model': DEFAULT_FIN_CONFIG, }, 'wind': { 'num_turbines': 5, 'turbine_rating_kw': wind_kw / 5, 'layout_mode': 'boundarygrid', - 'layout_params': WindBoundaryGridParameters(border_spacing=2, - border_offset=0.5, - grid_angle=0.5, - grid_aspect_power=0.5, - row_phase_offset=0.5), - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + 'layout_params': { + "border_spacing": 2, + "border_offset": 0.5, + "grid_angle": 0.5, + "grid_aspect_power": 0.5, + "row_phase_offset": 0.5 + }, + 'fin_model': DEFAULT_FIN_CONFIG, }, 'battery': { 'system_capacity_kwh': batt_kw * 4, 'system_capacity_kw': batt_kw, - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + 'fin_model': DEFAULT_FIN_CONFIG, }, 'grid': { 'interconnect_kw': interconnect_kw, - 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), + 'fin_model': DEFAULT_FIN_CONFIG, } } - hybrid_plant = HybridSimulation(power_sources, site) + hopp_config = { + "site": site, + "technologies": power_sources + } + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system hybrid_plant.layout.plot() hybrid_plant.battery.dispatch.lifecycle_cost_per_kWh_cycle = 0.01 hybrid_plant.ppa_price = (0.03, ) hybrid_plant.pv.dc_degradation = [0] * 25 + hybrid_plant.simulate() + sizes = hybrid_plant.system_capacity_kw aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values diff --git a/tests/hopp/test_dispatch.py b/tests/hopp/test_dispatch.py index b5cd408e5..4a3a3330a 100644 --- a/tests/hopp/test_dispatch.py +++ b/tests/hopp/test_dispatch.py @@ -4,6 +4,7 @@ from pyomo.opt import TerminationCondition from pyomo.util.check_units import assert_units_consistent +from hopp.tools.hopp_interface import HoppInterface from hopp.simulation.technologies.wind_source import WindPlant, WindConfig from hopp.simulation.technologies.pv_source import PVPlant, PVConfig from hopp.simulation.technologies.tower_source import TowerPlant, TowerConfig @@ -12,7 +13,6 @@ from hopp.simulation.technologies.dispatch.power_sources.tower_dispatch import TowerDispatch from hopp.simulation.technologies.dispatch.power_sources.trough_dispatch import TroughDispatch from hopp.simulation.technologies.battery import Battery, BatteryConfig -from hopp.simulation.hybrid_simulation import HybridSimulation from hopp.simulation.technologies.dispatch.power_storage.linear_voltage_convex_battery_dispatch import ConvexLinearVoltageBatteryDispatch from hopp.simulation.technologies.dispatch.power_storage.simple_battery_dispatch import SimpleBatteryDispatch @@ -29,30 +29,32 @@ def site(): interconnect_mw = 50 -technologies = {'pv': { - 'system_capacity_kw': 50 * 1000, - }, - 'wind': { - 'num_turbines': 25, - 'turbine_rating_kw': 2000 - }, - 'battery': { - 'system_capacity_kwh': 200 * 1000, - 'system_capacity_kw': 50 * 1000 - }, - 'tower': { - 'cycle_capacity_kw': 50 * 1000, - 'solar_multiple': 2.4, - 'tes_hours': 10.0 - }, - 'trough': { - 'cycle_capacity_kw': 50 * 1000, - 'solar_multiple': 2.0, - 'tes_hours': 6.0 - }, - 'grid': { - 'interconnect_kw': interconnect_mw * 1000 - }} +technologies = { + 'pv': { + 'system_capacity_kw': 50 * 1000, + }, + 'wind': { + 'num_turbines': 25, + 'turbine_rating_kw': 2000 + }, + 'battery': { + 'system_capacity_kwh': 200 * 1000, + 'system_capacity_kw': 50 * 1000 + }, + 'tower': { + 'cycle_capacity_kw': 50 * 1000, + 'solar_multiple': 2.4, + 'tes_hours': 10.0 + }, + 'trough': { + 'cycle_capacity_kw': 50 * 1000, + 'solar_multiple': 2.0, + 'tes_hours': 6.0 + }, + 'grid': { + 'interconnect_kw': interconnect_mw * 1000 + } +} def test_solar_dispatch(site): @@ -581,10 +583,18 @@ def test_pv_wind_battery_hybrid_dispatch(site): expected_objective = 39460.698 wind_solar_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} - hybrid_plant = HybridSimulation(wind_solar_battery, - site, - dispatch_options={'grid_charging': False, - 'include_lifecycle_count': False}) + hopp_config = { + "site": site, + "technologies": wind_solar_battery, + "config": { + "dispatch_options": { + 'grid_charging': False, + 'include_lifecycle_count': False + } + } + } + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system hybrid_plant.grid.value("federal_tax_rate", (0., )) hybrid_plant.grid.value("state_tax_rate", (0., )) hybrid_plant.ppa_price = (0.06, ) @@ -631,9 +641,15 @@ def test_hybrid_dispatch_heuristic(site): dispatch_options = {'battery_dispatch': 'heuristic', 'grid_charging': False} wind_solar_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} - hybrid_plant = HybridSimulation(wind_solar_battery, - site, - dispatch_options=dispatch_options) + hopp_config = { + "site": site, + "technologies": wind_solar_battery, + "config": { + "dispatch_options": dispatch_options + } + } + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system fixed_dispatch = [0.0]*6 fixed_dispatch.extend([-1.0]*6) fixed_dispatch.extend([1.0]*6) @@ -651,9 +667,16 @@ def test_hybrid_dispatch_one_cycle_heuristic(site): dispatch_options = {'battery_dispatch': 'one_cycle_heuristic', 'grid_charging': False} wind_solar_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} - hybrid_plant = HybridSimulation(wind_solar_battery, - site, - dispatch_options=dispatch_options) + hopp_config = { + "site": site, + "technologies": wind_solar_battery, + "config": { + "dispatch_options": dispatch_options + } + } + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system + hybrid_plant.simulate(1) assert sum(hybrid_plant.battery.outputs.P) < 0.0 @@ -663,12 +686,19 @@ def test_hybrid_solar_battery_dispatch(site): expected_objective = 23474 solar_battery_technologies = {k: technologies[k] for k in ('pv', 'battery', 'grid')} - hybrid_plant = HybridSimulation(solar_battery_technologies, - site, - dispatch_options={'grid_charging': False}) + hopp_config = { + "site": site, + "technologies": solar_battery_technologies, + "config": { + "dispatch_options": {'grid_charging': False} + } + } + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system hybrid_plant.grid.value("federal_tax_rate", (0., )) hybrid_plant.grid.value("state_tax_rate", (0., )) hybrid_plant.pv.dc_degradation = [0.5] * 1 + hybrid_plant.pv.simulate(1) hybrid_plant.dispatch_builder.dispatch.initialize_parameters() @@ -714,10 +744,17 @@ def test_hybrid_solar_battery_dispatch(site): def test_hybrid_dispatch_financials(site): wind_solar_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} - hybrid_plant = HybridSimulation(wind_solar_battery, - site, - dispatch_options={'grid_charging': True}) + hopp_config = { + "site": site, + "technologies": wind_solar_battery, + "config": { + "dispatch_options": {'grid_charging': True} + } + } + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system hybrid_plant.ppa_price = (0.06,) + hybrid_plant.simulate(1) assert sum(hybrid_plant.battery.outputs.P) < 0.0 @@ -746,9 +783,15 @@ def test_desired_schedule_dispatch(site): 'pv_charging_only': True, 'include_lifecycle_count': False } - hybrid_plant = HybridSimulation(tower_pv_battery, - desired_schedule_site, - dispatch_options=dispatch_options) + hopp_config = { + "site": desired_schedule_site, + "technologies": tower_pv_battery, + "config": { + "dispatch_options": dispatch_options + } + } + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system hybrid_plant.ppa_price = (0.06, ) # Constant price diff --git a/tests/hopp/test_grid.py b/tests/hopp/test_grid.py index 1dd71073f..d567b4f66 100644 --- a/tests/hopp/test_grid.py +++ b/tests/hopp/test_grid.py @@ -32,7 +32,8 @@ def test_grid_config_initialization(subtests): def test_grid_initialization(site, subtests): with subtests.test("initialize attributes"): - grid = Grid(site, config={"interconnect_kw": interconnect_kw}) + config = GridConfig.from_dict({"interconnect_kw": interconnect_kw}) + grid = Grid(site, config=config) assert_array_equal(grid.missed_load, [0.]) assert_array_equal(grid.missed_load_percentage, 0.) @@ -41,14 +42,15 @@ def test_grid_initialization(site, subtests): assert_array_equal(grid.total_gen_max_feasible_year1, [0.]) with subtests.test("default (SAM) financial model"): - grid = Grid(site, config={"interconnect_kw": interconnect_kw}) + config = GridConfig.from_dict({"interconnect_kw": interconnect_kw}) + grid = Grid(site, config=config) assert grid.financial_model is not None with subtests.test("provided SAM financial model"): - config = { + config = GridConfig.from_dict({ "interconnect_kw": interconnect_kw, "fin_model": grid.financial_model - } + }) grid2 = Grid(site, config=config) assert grid2.financial_model is not None @@ -56,10 +58,10 @@ def test_grid_initialization(site, subtests): # We'd typically use CustomFinancialModel, but we can provide a dummy # for this test for isolation purposes custom_fin_model = MagicMock() - config = { + config = GridConfig.from_dict({ "interconnect_kw": interconnect_kw, "fin_model": custom_fin_model - } + }) grid = Grid(site, config=config) assert grid.financial_model is not None @@ -76,7 +78,8 @@ def test_simulate_grid_connection(mock_simulate_power, site, subtests): total_gen_max_feasible_year1 = np.repeat([5000], 8760) with subtests.test("no desired schedule"): - grid = Grid(site, config={"interconnect_kw": interconnect_kw}) + config = GridConfig.from_dict({"interconnect_kw": interconnect_kw}) + grid = Grid(site, config=config) grid.simulate_grid_connection( hybrid_size_kw, total_gen, @@ -98,7 +101,8 @@ def test_simulate_grid_connection(mock_simulate_power, site, subtests): site2 = create_default_site_info( desired_schedule=desired_schedule ) - grid = Grid(site2, config={"interconnect_kw": interconnect_kw}) + config = GridConfig.from_dict({"interconnect_kw": interconnect_kw}) + grid = Grid(site2, config=config) grid.simulate_grid_connection( hybrid_size_kw, total_gen, diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index d7820219c..2e89a4bb5 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -11,12 +11,10 @@ from hopp.tools.hopp_interface import HoppInterface from hopp.simulation.technologies.sites import SiteInfo -from hopp.simulation.technologies.layout.pv_layout import PVGridParameters from hopp.simulation.hybrid_simulation import HybridSimulation from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant, DetailedPVConfig from examples.Detailed_PV_Layout.detailed_pv_layout import DetailedPVParameters, DetailedPVLayout from examples.Detailed_PV_Layout.detailed_pv_config import PVLayoutConfig -from hopp.simulation.technologies.grid import Grid from hopp.simulation.technologies.layout.pv_design_utils import size_electrical_parameters from hopp.simulation.technologies.financial.mhk_cost_model import MHKCostModelInputs from tests.hopp.utils import create_default_site_info, DEFAULT_FIN_CONFIG @@ -436,92 +434,87 @@ def test_hybrid_detailed_pv_only(site, hybrid_config, subtests): assert npvs.hybrid == approx(npv_expected, 1e-3) -@pytest.mark.skip( - "Rework: this does not fit the new workflow, but the refactored code allows for users to specify a str representing a Singleowner default config name." -) -def test_hybrid_user_instantiated(site): +def test_hybrid_user_instantiated(site, subtests): # Run detailed PV model (pvsamv1) using defaults and user-instantiated financial models annual_energy_expected = 11236852 npv_expected = -2566581 system_capacity_kw = 5000 system_capacity_kw_expected = 4998 - layout_params = PVGridParameters(x_position=0.5, - y_position=0.5, - aspect_power=0, - gcr=0.5, - s_buffer=2, - x_buffer=2) interconnect_kw = 150e3 + layout_params = { + "x_position": 0.5, + "y_position": 0.5, + "aspect_power": 0, + "gcr": 0.5, + "s_buffer": 2, + "x_buffer": 2 + } + # Run non-user-instantiated to compare against - solar_only = { - 'pv': { - 'use_pvwatts': False, - 'tech_config': - { - 'system_capacity_kw': system_capacity_kw + with subtests.test("baseline comparison"): + solar_only = { + 'pv': { + 'use_pvwatts': False, + 'tech_config': {'system_capacity_kw': system_capacity_kw}, + "layout_params": layout_params }, - 'layout_params': layout_params, - }, - 'grid': { - 'interconnect_kw': interconnect_kw + 'grid': { + 'interconnect_kw': interconnect_kw + } } - } - hybrid_plant = HybridSimulation(solar_only, site) - hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() - aeps = hybrid_plant.annual_energies - npvs = hybrid_plant.net_present_values - assert hybrid_plant.pv.system_capacity_kw == approx(system_capacity_kw, 1e-2) - assert aeps.pv == approx(annual_energy_expected, 1e-2) - assert aeps.hybrid == approx(annual_energy_expected, 1e-2) - assert npvs.pv == approx(npv_expected, 1e-2) - assert npvs.hybrid == approx(npv_expected, 1e-2) - - - # Run user-instantiated detailed PV plant, grid and respective financial models - config = DetailedPVConfig.from_dict({ - 'system_capacity_kw': system_capacity_kw, - 'layout_params': layout_params, - 'fin_model': Singleowner.default('FlatPlatePVSingleOwner'), - }) - detailed_pvplant = DetailedPVPlant( - site=site, - config=config - ) - - grid_source = Grid( - site=site, - config={ - 'interconnect_kw': interconnect_kw, - 'fin_model': Singleowner.default('GenericSystemSingleOwner'), + hopp_config = { + "site": site, + "technologies": solar_only } - ) - - power_sources = { - 'pv': { - 'pv_plant': detailed_pvplant, - }, - 'grid': { - 'grid_source': grid_source + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system + hybrid_plant.layout.plot() + hybrid_plant.ppa_price = (0.01, ) + hybrid_plant.pv.dc_degradation = [0] * 25 + hybrid_plant.simulate() + aeps = hybrid_plant.annual_energies + npvs = hybrid_plant.net_present_values + assert hybrid_plant.pv.system_capacity_kw == approx(system_capacity_kw, 1e-2) + assert aeps.pv == approx(annual_energy_expected, 1e-2) + assert aeps.hybrid == approx(annual_energy_expected, 1e-2) + assert npvs.pv == approx(npv_expected, 1e-2) + assert npvs.hybrid == approx(npv_expected, 1e-2) + + + with subtests.test("detailed PV plant, grid and respective financial models"): + # Run + power_sources = { + 'pv': { + 'use_pvwatts': False, + 'system_capacity_kw': system_capacity_kw, + 'layout_params': layout_params, + 'fin_model': 'FlatPlatePVSingleOwner', + }, + 'grid': { + 'interconnect_kw': interconnect_kw, + 'fin_model': 'GenericSystemSingleOwner', + } } - } - hybrid_plant = HybridSimulation(power_sources, site) - assert hybrid_plant.pv is not None - hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 - hybrid_plant.simulate() - aeps = hybrid_plant.annual_energies - npvs = hybrid_plant.net_present_values - assert hybrid_plant.pv.system_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) - assert hybrid_plant.pv.financial_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) - assert aeps.pv == approx(annual_energy_expected, 1e-3) - assert aeps.hybrid == approx(annual_energy_expected, 1e-3) - assert npvs.pv == approx(npv_expected, 1e-3) - assert npvs.hybrid == approx(npv_expected, 1e-3) + hopp_config = { + "site": site, + "technologies": power_sources + } + hi = HoppInterface(hopp_config) + hybrid_plant = hi.system + assert hybrid_plant.pv is not None + hybrid_plant.layout.plot() + hybrid_plant.ppa_price = (0.01, ) + hybrid_plant.pv.dc_degradation = [0] * 25 + hybrid_plant.simulate() + aeps = hybrid_plant.annual_energies + npvs = hybrid_plant.net_present_values + assert hybrid_plant.pv.system_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) + assert hybrid_plant.pv.financial_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) + assert aeps.pv == approx(annual_energy_expected, 1e-3) + assert aeps.hybrid == approx(annual_energy_expected, 1e-3) + assert npvs.pv == approx(npv_expected, 1e-3) + assert npvs.hybrid == approx(npv_expected, 1e-3) @pytest.mark.skip( diff --git a/tests/hopp/test_wave.py b/tests/hopp/test_wave.py index 2acbfccf7..63bf56efb 100644 --- a/tests/hopp/test_wave.py +++ b/tests/hopp/test_wave.py @@ -1,13 +1,12 @@ import pytest from pytest import fixture from pathlib import Path -import yaml -from yamlinclude import YamlIncludeConstructor from hopp.simulation.technologies.sites import SiteInfo from hopp.simulation.technologies.mhk_wave_source import MHKWavePlant, MHKConfig from hopp.simulation.technologies.financial.mhk_cost_model import MHKCostModelInputs from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel +from hopp.utilities.utilities import load_yaml # TODO: I'm seeing this copied around in tests, let's refactor to a module default_fin_config = { @@ -48,10 +47,9 @@ def site(): @fixture def mhk_config(): - YamlIncludeConstructor.add_to_loader_class(loader_class=yaml.FullLoader, base_dir=Path(__file__).absolute()) - mhk_yaml_path = Path(__file__).absolute().parent.parent.parent / "tests" / "hopp" / "input" / "wave" / "wave_device.yaml" - with open(Path(mhk_yaml_path), 'r') as stream: - mhk_config = yaml.safe_load(stream) + mhk_yaml_path = Path(__file__).absolute().parent.parent.parent / "tests" / "hopp" / "inputs" / "wave" / "wave_device.yaml" + mhk_config = load_yaml(mhk_yaml_path) + return mhk_config @fixture From f3a5c1d82e32e8cd5677230dddc544c7d1a13fc0 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Tue, 17 Oct 2023 17:48:22 -0700 Subject: [PATCH 34/46] Update WindPlant docs --- docs/hopp/simulation/technologies/wind_source.rst | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/docs/hopp/simulation/technologies/wind_source.rst b/docs/hopp/simulation/technologies/wind_source.rst index 6b8fae958..ba9b59f7e 100644 --- a/docs/hopp/simulation/technologies/wind_source.rst +++ b/docs/hopp/simulation/technologies/wind_source.rst @@ -8,3 +8,7 @@ Wind Generation class based on PySAM's Windpower module .. autoclass:: hopp.simulation.technologies.wind_source.WindPlant :members: + + +.. autoclass:: hopp.simulation.technologies.wind_source.WindConfig + :members: \ No newline at end of file From aab839df09864afb31ffe7e254ebe8a8aa544894 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Thu, 19 Oct 2023 17:02:13 -0700 Subject: [PATCH 35/46] Rework configs and set up wind plant for pysam input I didn't really like the post init hooks in the config classes, so I moved that code back into the plant classes. --- hopp/simulation/technologies/battery.py | 130 +++++++------- .../technologies/battery_stateless.py | 16 +- hopp/simulation/technologies/csp_source.py | 11 +- .../technologies/detailed_pv_plant.py | 160 +++++++++--------- hopp/simulation/technologies/grid.py | 41 ++--- .../technologies/mhk_wave_source.py | 19 +-- hopp/simulation/technologies/pv_source.py | 78 ++++----- hopp/simulation/technologies/wind_source.py | 50 +++--- tests/hopp/test_battery.py | 6 +- tests/hopp/test_battery_dispatch.py | 4 +- tests/hopp/test_hybrid.py | 8 +- 11 files changed, 251 insertions(+), 272 deletions(-) diff --git a/hopp/simulation/technologies/battery.py b/hopp/simulation/technologies/battery.py index 2211559e0..aede38c6a 100644 --- a/hopp/simulation/technologies/battery.py +++ b/hopp/simulation/technologies/battery.py @@ -70,8 +70,6 @@ class BatteryConfig(BaseClass): """ Configuration class for `Battery`. - Converts nested dicts into relevant instances for financial configurations. - Args: tracking: default True -> `Battery` system_capacity_kwh: Battery energy capacity [kWh] @@ -83,6 +81,7 @@ class BatteryConfig(BaseClass): - a dict representing a `CustomFinancialModel` - an object representing a `CustomFinancialModel` or `Singleowner.Singleowner` instance + """ system_capacity_kwh: float = field(validator=gt_zero) system_capacity_kw: float = field(validator=gt_zero) @@ -92,15 +91,6 @@ class BatteryConfig(BaseClass): initial_SOC: float = field(default=10, validator=range_val(0, 100)) fin_model: Optional[Union[dict, FinancialModelType]] = field(default=None) - # converted - fin_model_inst: Optional[FinancialModelType] = field(init=False, default=None) - - def __attrs_post_init__(self): - if isinstance(self.fin_model, dict): - self.fin_model_inst = CustomFinancialModel(self.fin_model) - else: - self.fin_model_inst = self.fin_model - @define class Battery(PowerSource): @@ -124,47 +114,53 @@ def __attrs_post_init__(self): """ """ self._chemistry = "lfpgraphite" - self.system_model = BatteryModel.default(self._chemistry) + system_model = BatteryModel.default(self._chemistry) + + if isinstance(self.config.fin_model, dict): + financial_model = CustomFinancialModel(self.config.fin_model) + else: + financial_model = self.config.fin_model - if self.config.fin_model is not None: - self.financial_model = self.import_financial_model(self.config.fin_model_inst, self.system_model, self.config_name) + if financial_model is None: + # default + financial_model = Singleowner.from_existing(system_model, self.config_name) else: - self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) + financial_model = self.import_financial_model(financial_model, system_model, self.config_name) - super().__init__("Battery", self.site, self.system_model, self.financial_model) + super().__init__("Battery", self.site, system_model, financial_model) self.outputs = BatteryOutputs(n_timesteps=self.site.n_timesteps, n_periods_per_day=self.site.n_periods_per_day) self.system_capacity_kw = self.config.system_capacity_kw - BatteryTools.battery_model_sizing(self.system_model, + BatteryTools.battery_model_sizing(self._system_model, self.config.system_capacity_kw, self.config.system_capacity_kwh, self.system_voltage_volts, module_specs=Battery.module_specs) - self.system_model.ParamsPack.h = 20 - self.system_model.ParamsPack.Cp = 900 - self.system_model.ParamsCell.resistance = 0.001 - self.system_model.ParamsCell.C_rate = self.config.system_capacity_kw / self.config.system_capacity_kwh + self._system_model.ParamsPack.h = 20 + self._system_model.ParamsPack.Cp = 900 + self._system_model.ParamsCell.resistance = 0.001 + self._system_model.ParamsCell.C_rate = self.config.system_capacity_kw / self.config.system_capacity_kwh # Minimum set of parameters to set to get statefulBattery to work - self.system_model.value("control_mode", 0.0) - self.system_model.value("input_current", 0.0) - self.system_model.value("dt_hr", 1.0) - self.system_model.value("minimum_SOC", self.config.minimum_SOC) - self.system_model.value("maximum_SOC", self.config.maximum_SOC) - self.system_model.value("initial_SOC", self.config.initial_SOC) + self._system_model.value("control_mode", 0.0) + self._system_model.value("input_current", 0.0) + self._system_model.value("dt_hr", 1.0) + self._system_model.value("minimum_SOC", self.config.minimum_SOC) + self._system_model.value("maximum_SOC", self.config.maximum_SOC) + self._system_model.value("initial_SOC", self.config.initial_SOC) self._dispatch = None - logger.info("Initialized battery with parameters and state {}".format(self.system_model.export())) + logger.info("Initialized battery with parameters and state {}".format(self._system_model.export())) def setup_system_model(self): """Executes Stateful Battery setup""" - self.system_model.setup() + self._system_model.setup() @property def system_capacity_voltage(self) -> tuple: """Battery energy capacity [kWh] and voltage [VDC]""" - return self.system_model.ParamsPack.nominal_energy, self.system_model.ParamsPack.nominal_voltage + return self._system_model.ParamsPack.nominal_energy, self._system_model.ParamsPack.nominal_voltage @system_capacity_voltage.setter def system_capacity_voltage(self, capacity_voltage: tuple): @@ -175,7 +171,7 @@ def system_capacity_voltage(self, capacity_voltage: tuple): if size_kwh == 0: size_kwh = 1e-7 - BatteryTools.battery_model_sizing(self.system_model, + BatteryTools.battery_model_sizing(self._system_model, 0., size_kwh, voltage_volts, @@ -186,7 +182,7 @@ def system_capacity_voltage(self, capacity_voltage: tuple): @property def system_capacity_kwh(self) -> float: """Battery energy capacity [kWh]""" - return self.system_model.ParamsPack.nominal_energy + return self._system_model.ParamsPack.nominal_energy @system_capacity_kwh.setter def system_capacity_kwh(self, size_kwh: float): @@ -199,13 +195,13 @@ def system_capacity_kw(self) -> float: @system_capacity_kw.setter def system_capacity_kw(self, size_kw: float): - self.financial_model.value("system_capacity", size_kw) + self._financial_model.value("system_capacity", size_kw) self._system_capacity_kw = size_kw @property def system_voltage_volts(self) -> float: """Battery bank voltage [VDC]""" - return self.system_model.ParamsPack.nominal_voltage + return self._system_model.ParamsPack.nominal_voltage @system_voltage_volts.setter def system_voltage_volts(self, voltage_volts: float): @@ -214,7 +210,7 @@ def system_voltage_volts(self, voltage_volts: float): @property def chemistry(self) -> str: """Battery chemistry type""" - model_type = self.system_model.ParamsCell.chem + model_type = self._system_model.ParamsCell.chem if model_type == 0 or model_type == 1: return self._chemistry else: @@ -231,13 +227,13 @@ def chemistry(self, battery_chemistry: str): - `LeadAcid`: Lead Acid - `NMCGraphite`: Nickel Manganese Cobalt Oxide (Lithium Ion) """ - BatteryTools.battery_model_change_chemistry(self.system_model, battery_chemistry) + BatteryTools.battery_model_change_chemistry(self._system_model, battery_chemistry) self._chemistry = battery_chemistry logger.info("Battery chemistry set to {}".format(battery_chemistry)) def setup_performance_model(self): """Executes Stateful Battery setup""" - self.system_model.setup() + self._system_model.setup() def simulate_with_dispatch(self, n_periods: int, sim_start_time: Optional[int] = None): """ @@ -293,9 +289,9 @@ def simulate_power(self, time_step=None): Args: time_step: (optional) if provided outputs are stored, o.w. they are not stored. """ - if not self.system_model: + if not self._system_model: return - self.system_model.execute(0) + self._system_model.execute(0) if time_step is not None: self.update_battery_stored_values(time_step) @@ -308,7 +304,7 @@ def update_battery_stored_values(self, time_step): time_step: time step where outputs will be stored. """ for attr in self.outputs.stateful_attributes: - if hasattr(self.system_model.StatePack, attr) or hasattr(self.system_model.StateCell, attr): + if hasattr(self._system_model.StatePack, attr) or hasattr(self._system_model.StateCell, attr): getattr(self.outputs, attr)[time_step] = self.value(attr) else: if attr == 'gen': @@ -323,19 +319,19 @@ def validate_replacement_inputs(self, project_life): This array is of length (project_life), where year 0 is the first year of system operation. """ try: - self.financial_model.value('batt_bank_replacement') + self._financial_model.value('batt_bank_replacement') except: - self.financial_model.value('batt_bank_replacement', [0] * (project_life + 1)) + self._financial_model.value('batt_bank_replacement', [0] * (project_life + 1)) - if self.financial_model.value('batt_replacement_option') == 2: - if len(self.financial_model.value('batt_replacement_schedule_percent')) != project_life: - raise ValueError(f"Error in Battery model: `batt_replacement_schedule_percent` should be length of project_life {project_life} but is instead {len(self.financial_model.value('batt_replacement_schedule_percent'))}") - if len(self.financial_model.value('batt_bank_replacement')) != project_life + 1: - if len(self.financial_model.value('batt_bank_replacement')) == project_life: + if self._financial_model.value('batt_replacement_option') == 2: + if len(self._financial_model.value('batt_replacement_schedule_percent')) != project_life: + raise ValueError(f"Error in Battery model: `batt_replacement_schedule_percent` should be length of project_life {project_life} but is instead {len(self._financial_model.value('batt_replacement_schedule_percent'))}") + if len(self._financial_model.value('batt_bank_replacement')) != project_life + 1: + if len(self._financial_model.value('batt_bank_replacement')) == project_life: # likely an input mistake: add a zero for financial year 0 - self.financial_model.value('batt_bank_replacement', [0] + list(self.financial_model.value('batt_bank_replacement'))) + self._financial_model.value('batt_bank_replacement', [0] + list(self._financial_model.value('batt_bank_replacement'))) else: - raise ValueError(f"Error in Battery model: `batt_bank_replacement` should be length of project_life {project_life} but is instead {len(self.financial_model.value('batt_bank_replacement'))}") + raise ValueError(f"Error in Battery model: `batt_bank_replacement` should be length of project_life {project_life} but is instead {len(self._financial_model.value('batt_bank_replacement'))}") def simulate_financials( self, @@ -352,23 +348,23 @@ def simulate_financials( cap_cred_avail_storage: Base capacity credit on available storage (True), otherwise use only dispatched generation (False) """ - if not isinstance(self.financial_model, Singleowner.Singleowner): - self.financial_model.assign(self.system_model.export(), ignore_missing_vals=True) # copy system parameter values having same name + if not isinstance(self._financial_model, Singleowner.Singleowner): + self._financial_model.assign(self._system_model.export(), ignore_missing_vals=True) # copy system parameter values having same name else: - self.financial_model.value('om_batt_nameplate', self.system_capacity_kw) - self.financial_model.value('ppa_soln_mode', 1) + self._financial_model.value('om_batt_nameplate', self.system_capacity_kw) + self._financial_model.value('ppa_soln_mode', 1) - self.financial_model.value('batt_computed_bank_capacity', self.system_capacity_kwh) + self._financial_model.value('batt_computed_bank_capacity', self.system_capacity_kwh) self.validate_replacement_inputs(project_life) if project_life > 1: - self.financial_model.value('system_use_lifetime_output', 1) + self._financial_model.value('system_use_lifetime_output', 1) else: - self.financial_model.value('system_use_lifetime_output', 0) - self.financial_model.value('analysis_period', project_life) + self._financial_model.value('system_use_lifetime_output', 0) + self._financial_model.value('analysis_period', project_life) try: - if self.financial_model.value('om_production') != 0: + if self._financial_model.value('om_production') != 0: raise ValueError("Battery's 'om_production' must be 0. For variable O&M cost based on battery discharge, " "use `om_batt_variable_cost`, which is in $/MWh.") except: @@ -377,15 +373,15 @@ def simulate_financials( if len(self.outputs.gen) == self.site.n_timesteps: single_year_gen = self.outputs.gen - self.financial_model.value('gen', list(single_year_gen) * project_life) + self._financial_model.value('gen', list(single_year_gen) * project_life) - self.financial_model.value('system_pre_curtailment_kwac', list(single_year_gen) * project_life) - self.financial_model.value('annual_energy_pre_curtailment_ac', sum(single_year_gen)) - self.financial_model.value('batt_annual_discharge_energy', [sum(i for i in single_year_gen if i > 0)] * project_life) - self.financial_model.value('batt_annual_charge_energy', [sum(i for i in single_year_gen if i < 0)] * project_life) + self._financial_model.value('system_pre_curtailment_kwac', list(single_year_gen) * project_life) + self._financial_model.value('annual_energy_pre_curtailment_ac', sum(single_year_gen)) + self._financial_model.value('batt_annual_discharge_energy', [sum(i for i in single_year_gen if i > 0)] * project_life) + self._financial_model.value('batt_annual_charge_energy', [sum(i for i in single_year_gen if i < 0)] * project_life) # Do not calculate LCOS, so skip these inputs for now by unassigning or setting to 0 - self.financial_model.unassign("battery_total_cost_lcos") - self.financial_model.value('batt_annual_charge_from_system', (0,)) + self._financial_model.unassign("battery_total_cost_lcos") + self._financial_model.value('batt_annual_charge_from_system', (0,)) else: raise NotImplementedError @@ -393,7 +389,7 @@ def simulate_financials( self.gen_max_feasible = self.calc_gen_max_feasible_kwh(interconnect_kw, cap_cred_avail_storage) self.capacity_credit_percent = self.calc_capacity_credit_percent(interconnect_kw) - self.financial_model.execute(0) + self._financial_model.execute(0) logger.info("{} simulation executed".format('battery')) def calc_gen_max_feasible_kwh(self, interconnect_kw, use_avail_storage: bool = True) -> List[float]: @@ -438,7 +434,7 @@ def generation_profile(self) -> Sequence: def replacement_costs(self) -> Sequence: """Battery replacement cost [$]""" if self.system_capacity_kw: - return self.financial_model.value('cf_battery_replacement_cost') + return self._financial_model.value('cf_battery_replacement_cost') else: return [0] * self.site.n_timesteps diff --git a/hopp/simulation/technologies/battery_stateless.py b/hopp/simulation/technologies/battery_stateless.py index 1fd5d4743..bcf74673b 100644 --- a/hopp/simulation/technologies/battery_stateless.py +++ b/hopp/simulation/technologies/battery_stateless.py @@ -63,15 +63,6 @@ class BatteryStatelessConfig(BaseClass): initial_SOC: float = field(default=10, validator=range_val(0, 100)) fin_model: Union[dict, CustomFinancialModel] = field(default=None) - # converted - fin_model_inst: CustomFinancialModel = field(init=False, default=None) - - def __attrs_post_init__(self): - if isinstance(self.fin_model, dict): - self.fin_model_inst = CustomFinancialModel(self.fin_model) - else: - self.fin_model_inst = self.fin_model - @define class BatteryStateless(PowerSource): @@ -101,7 +92,12 @@ class BatteryStateless(PowerSource): def __attrs_post_init__(self): system_model = self - self.financial_model = self.import_financial_model(self.config.fin_model_inst, system_model, None) + if isinstance(self.config.fin_model, dict): + financial_model = CustomFinancialModel(self.config.fin_model) + else: + financial_model = self.config.fin_model + + self.financial_model = self.import_financial_model(financial_model, system_model, None) self._system_capacity_kw = self.config.system_capacity_kw self._system_capacity_kwh = self.config.system_capacity_kwh diff --git a/hopp/simulation/technologies/csp_source.py b/hopp/simulation/technologies/csp_source.py index ba411fb5b..41cce2589 100644 --- a/hopp/simulation/technologies/csp_source.py +++ b/hopp/simulation/technologies/csp_source.py @@ -14,7 +14,7 @@ from hopp.simulation.technologies.dispatch.power_sources.csp_dispatch import CspDispatch from hopp.simulation.technologies.power_source import PowerSource from hopp.simulation.technologies.sites import SiteInfo -from hopp.simulation.technologies.financial import FinancialModelType +from hopp.simulation.technologies.financial import FinancialModelType, CustomFinancialModel from hopp.utilities.validators import contains, gt_zero from hopp.utilities.log import hybrid_logger as logger @@ -95,7 +95,7 @@ class CspConfig(BaseClass): cycle_capacity_kw: float = field(validator=gt_zero) solar_multiple: float = field(validator=gt_zero) tes_hours: float = field(validator=gt_zero) - fin_model: Optional[FinancialModelType] = field(default=None) + fin_model: Optional[Union[dict, FinancialModelType]] = field(default=None) name: str = field(default="TowerPlant") @@ -124,7 +124,12 @@ def __attrs_post_init__(self): if self.config.fin_model is None: raise AttributeError("Financial model must be set in `config.fin_model`") - super().__init__(self.config.name, self.site, None, self.config.fin_model) + if isinstance(self.config.fin_model, dict): + financial_model = CustomFinancialModel(self.config.fin_model) + else: + financial_model = self.config.fin_model + + super().__init__(self.config.name, self.site, None, financial_model) # TODO: Should 'SSC' object be a protected attr # Initialize ssc and get weather data diff --git a/hopp/simulation/technologies/detailed_pv_plant.py b/hopp/simulation/technologies/detailed_pv_plant.py index 0388a9d33..c0481be38 100644 --- a/hopp/simulation/technologies/detailed_pv_plant.py +++ b/hopp/simulation/technologies/detailed_pv_plant.py @@ -52,28 +52,8 @@ class DetailedPVConfig(BaseClass): layout_model: Optional[Union[dict, PVLayout]] = field(default=None) fin_model: Optional[Union[str, dict, FinancialModelType]] = field(default=None) - # converted instances - fin_model_inst: Optional[FinancialModelType] = field(init=False) - layout_params_inst: Optional[PVGridParameters] = field(init=False) - layout_model_inst: Optional[PVLayout] = field(init=False) - def __attrs_post_init__(self): - if isinstance(self.fin_model, str): - self.fin_model_inst = Singleowner.default(self.fin_model) - elif isinstance(self.fin_model, dict): - self.fin_model_inst = CustomFinancialModel(self.fin_model) - else: - self.fin_model_inst = self.fin_model - - if isinstance(self.layout_params, dict): - self.layout_params_inst = PVGridParameters(**self.layout_params) - else: - self.layout_params_inst = self.layout_params - - if isinstance(self.layout_model, dict): - self.layout_model_inst = PVLayout(**self.layout_model) - else: - self.layout_model_inst = self.layout_model + pass @define @@ -94,27 +74,45 @@ class DetailedPVPlant(PowerSource): config_name: str = field(init=False, default="FlatPlatePVSingleOwner") def __attrs_post_init__(self): - self.system_model = Pvsam.default(self.config_name) + system_model = Pvsam.default(self.config_name) + + if isinstance(self.config.fin_model, str): + financial_model = Singleowner.default(self.config.fin_model) + elif isinstance(self.config.fin_model, dict): + financial_model = CustomFinancialModel(self.config.fin_model) + else: + financial_model = self.config.fin_model + + if isinstance(self.config.layout_params, dict): + layout_params = PVGridParameters(**self.config.layout_params) + else: + layout_params = self.config.layout_params + + if isinstance(self.config.layout_model, dict): + layout_model = PVLayout(**self.config.layout_model) + else: + layout_model = self.config.layout_model - if self.config.fin_model_inst is not None: - self.financial_model = self.import_financial_model(self.config.fin_model_inst, self.system_model, self.config_name) + if financial_model is None: + # default + financial_model = Singleowner.from_existing(system_model, self.config_name) else: - self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) + financial_model = self.import_financial_model(financial_model, system_model, self.config_name) - super().__init__("PVPlant", self.site, self.system_model, self.financial_model) + super().__init__("PVPlant", self.site, system_model, financial_model) if self.site.solar_resource is not None: - self.system_model.SolarResource.solar_resource_data = self.site.solar_resource.data + self._system_model.SolarResource.solar_resource_data = self.site.solar_resource.data self.dc_degradation = [0] - if self.config.layout_model_inst is not None: - self.layout = self.config.layout_model_inst - self.layout._system_model = self.system_model + if layout_model is not None: + self.layout = layout_model + self.layout._system_model = self._system_model else: self.layout = PVLayout( self.site, - self.system_model, - self.config.layout_params_inst + self._system_model, + layout_params ) self.processed_assign() @@ -220,7 +218,7 @@ def get_pv_module(self, only_ref_vals: bool = True) -> dict: Returns: dict: PV module attributes """ - return get_module_attribs(self.system_model, only_ref_vals) + return get_module_attribs(self._system_model, only_ref_vals) def set_pv_module(self, params: dict): """ @@ -230,9 +228,9 @@ def set_pv_module(self, params: dict): params: dictionary of parameters """ - set_module_attribs(self.system_model, params) + set_module_attribs(self._system_model, params) # update system capacity directly to not recalculate the number of inverters, consistent with the SAM UI - self.system_model.value('system_capacity', self.module_power * self.modules_per_string * self.n_strings) + self._system_model.value('system_capacity', self.module_power * self.modules_per_string * self.n_strings) def get_inverter(self, only_ref_vals: bool = True) -> dict: """ @@ -244,7 +242,7 @@ def get_inverter(self, only_ref_vals: bool = True) -> dict: Returns: dict: inverter attributes """ - return get_inverter_attribs(self.system_model, only_ref_vals) + return get_inverter_attribs(self._system_model, only_ref_vals) def set_inverter(self, params: dict): """ @@ -254,7 +252,7 @@ def set_inverter(self, params: dict): params: dictionary of parameters """ - set_inverter_attribs(self.system_model, params) + set_inverter_attribs(self._system_model, params) @property def system_capacity(self) -> float: @@ -268,7 +266,7 @@ def system_capacity(self, size_kw: float): @property def system_capacity_kw(self) -> float: - return self.system_model.value('system_capacity') # [kW] DC + return self._system_model.value('system_capacity') # [kW] DC @system_capacity_kw.setter def system_capacity_kw(self, system_capacity_kw_: float): @@ -286,24 +284,24 @@ def system_capacity_kw(self, system_capacity_kw_: float): module_power=self.module_power, inverter_power=self.inverter_power, ) - self.system_model.value('system_capacity', system_capacity) - self.system_model.value('subarray1_nstrings', n_strings) - self.system_model.value('subarray2_nstrings', 0) - self.system_model.value('subarray3_nstrings', 0) - self.system_model.value('subarray4_nstrings', 0) - self.system_model.value('subarray2_enable', 0) - self.system_model.value('subarray3_enable', 0) - self.system_model.value('subarray4_enable', 0) - self.system_model.value('inverter_count', n_inverters) + self._system_model.value('system_capacity', system_capacity) + self._system_model.value('subarray1_nstrings', n_strings) + self._system_model.value('subarray2_nstrings', 0) + self._system_model.value('subarray3_nstrings', 0) + self._system_model.value('subarray4_nstrings', 0) + self._system_model.value('subarray2_enable', 0) + self._system_model.value('subarray3_enable', 0) + self._system_model.value('subarray4_enable', 0) + self._system_model.value('inverter_count', n_inverters) @property def dc_degradation(self) -> float: """Annual DC degradation for lifetime simulations [%/year]""" - return self.system_model.Lifetime.dc_degradation + return self._system_model.Lifetime.dc_degradation @dc_degradation.setter def dc_degradation(self, dc_deg_per_year: Sequence): - self.system_model.Lifetime.dc_degradation = dc_deg_per_year + self._system_model.Lifetime.dc_degradation = dc_deg_per_year @property def dc_ac_ratio(self) -> float: @@ -322,32 +320,32 @@ def dc_ac_ratio(self, target_dc_ac_ratio: float): module_power=self.module_power, inverter_power=self.inverter_power, ) - self.system_model.value('system_capacity', system_capacity) - self.system_model.value('subarray1_nstrings', n_strings) - self.system_model.value('subarray2_nstrings', 0) - self.system_model.value('subarray3_nstrings', 0) - self.system_model.value('subarray4_nstrings', 0) - self.system_model.value('subarray2_enable', 0) - self.system_model.value('subarray3_enable', 0) - self.system_model.value('subarray4_enable', 0) - self.system_model.value('inverter_count', n_inverters) + self._system_model.value('system_capacity', system_capacity) + self._system_model.value('subarray1_nstrings', n_strings) + self._system_model.value('subarray2_nstrings', 0) + self._system_model.value('subarray3_nstrings', 0) + self._system_model.value('subarray4_nstrings', 0) + self._system_model.value('subarray2_enable', 0) + self._system_model.value('subarray3_enable', 0) + self._system_model.value('subarray4_enable', 0) + self._system_model.value('inverter_count', n_inverters) @property def module_power(self) -> float: """Module power in kW.""" - module_attribs = get_module_attribs(self.system_model) + module_attribs = get_module_attribs(self._system_model) return module_attribs['P_mp_ref'] @property def module_width(self) -> float: """Module width in meters.""" - module_attribs = get_module_attribs(self.system_model) + module_attribs = get_module_attribs(self._system_model) return module_attribs['width'] @property def module_length(self) -> float: """Module length in meters.""" - module_attribs = get_module_attribs(self.system_model) + module_attribs = get_module_attribs(self._system_model) return module_attribs['length'] @property @@ -358,27 +356,27 @@ def module_height(self) -> float: @property def inverter_power(self) -> float: """Inverter power in kW.""" - return get_inverter_power(self.system_model) + return get_inverter_power(self._system_model) @property def modules_per_string(self) -> float: """Modules per string.""" - return self.system_model.SystemDesign.subarray1_modules_per_string + return self._system_model.SystemDesign.subarray1_modules_per_string @modules_per_string.setter def modules_per_string(self, _modules_per_string: float): """Sets the modules per string and updates the system capacity.""" - self.system_model.SystemDesign.subarray1_modules_per_string = _modules_per_string - self.system_model.SystemDesign.subarray2_modules_per_string = 0 - self.system_model.SystemDesign.subarray3_modules_per_string = 0 - self.system_model.SystemDesign.subarray4_modules_per_string = 0 + self._system_model.SystemDesign.subarray1_modules_per_string = _modules_per_string + self._system_model.SystemDesign.subarray2_modules_per_string = 0 + self._system_model.SystemDesign.subarray3_modules_per_string = 0 + self._system_model.SystemDesign.subarray4_modules_per_string = 0 # update system capacity directly to not recalculate the number of inverters, consistent with the SAM UI - self.system_model.value('system_capacity', self.module_power * _modules_per_string * self.n_strings) + self._system_model.value('system_capacity', self.module_power * _modules_per_string * self.n_strings) @property def subarray1_modules_per_string(self) -> float: """Number of modules per string in subarray 1.""" - return self.system_model.value('subarray1_modules_per_string') + return self._system_model.value('subarray1_modules_per_string') @subarray1_modules_per_string.setter def subarray1_modules_per_string(self, subarray1_modules_per_string_: float): @@ -391,25 +389,25 @@ def subarray1_modules_per_string(self, subarray1_modules_per_string_: float): @property def n_strings(self) -> float: """Total number of strings.""" - return self.system_model.SystemDesign.subarray1_nstrings \ - + self.system_model.SystemDesign.subarray2_nstrings \ - + self.system_model.SystemDesign.subarray3_nstrings \ - + self.system_model.SystemDesign.subarray4_nstrings + return self._system_model.SystemDesign.subarray1_nstrings \ + + self._system_model.SystemDesign.subarray2_nstrings \ + + self._system_model.SystemDesign.subarray3_nstrings \ + + self._system_model.SystemDesign.subarray4_nstrings @n_strings.setter def n_strings(self, _n_strings: float): """Sets the total number of strings and updates the system capacity.""" - self.system_model.SystemDesign.subarray1_nstrings = _n_strings - self.system_model.SystemDesign.subarray2_nstrings = 0 - self.system_model.SystemDesign.subarray3_nstrings = 0 - self.system_model.SystemDesign.subarray4_nstrings = 0 + self._system_model.SystemDesign.subarray1_nstrings = _n_strings + self._system_model.SystemDesign.subarray2_nstrings = 0 + self._system_model.SystemDesign.subarray3_nstrings = 0 + self._system_model.SystemDesign.subarray4_nstrings = 0 # update system capacity directly to not recalculate the number of inverters, consistent with the SAM UI - self.system_model.value('system_capacity', self.module_power * self.modules_per_string * _n_strings) + self._system_model.value('system_capacity', self.module_power * self.modules_per_string * _n_strings) @property def subarray1_nstrings(self) -> float: """Number of strings in subarray 1.""" - return self.system_model.value('subarray1_nstrings') + return self._system_model.value('subarray1_nstrings') @subarray1_nstrings.setter def subarray1_nstrings(self, subarray1_nstrings_: float): @@ -422,9 +420,9 @@ def subarray1_nstrings(self, subarray1_nstrings_: float): @property def n_inverters(self) -> float: """Total number of inverters.""" - return self.system_model.SystemDesign.inverter_count + return self._system_model.SystemDesign.inverter_count @n_inverters.setter def n_inverters(self, _n_inverters: float): """Sets the total number of inverters.""" - self.system_model.SystemDesign.inverter_count = _n_inverters + self._system_model.SystemDesign.inverter_count = _n_inverters diff --git a/hopp/simulation/technologies/grid.py b/hopp/simulation/technologies/grid.py index 4185e4c56..020458665 100644 --- a/hopp/simulation/technologies/grid.py +++ b/hopp/simulation/technologies/grid.py @@ -28,17 +28,7 @@ class GridConfig(BaseClass): """ interconnect_kw: float = field(validator=gt_zero) - fin_model: Optional[Union[dict, FinancialModelType]] = None - - fin_model_inst: Optional[FinancialModelType] = field(init=False, default=None) - - def __attrs_post_init__(self): - if isinstance(self.fin_model, str): - self.fin_model_inst = Singleowner.default(self.fin_model) - elif isinstance(self.fin_model, dict): - self.fin_model_inst = CustomFinancialModel(self.fin_model) - else: - self.fin_model_inst = self.fin_model + fin_model: Optional[Union[str, dict, FinancialModelType]] = None @define @@ -62,24 +52,25 @@ def __attrs_post_init__(self): site: Power source site information config: dict, used to instantiate a `GridConfig` instance """ - self.system_model = GridModel.default("GenericSystemSingleOwner") - + system_model = GridModel.default("GenericSystemSingleOwner") - if self.config.fin_model is not None: - # if 'fin_model' in grid_config.keys(): - if isinstance(self.config.fin_model_inst, Singleowner.Singleowner): - self.financial_model = Singleowner.from_existing(self.system_model, "GenericSystemSingleOwner") - self.financial_model.assign(self.config.fin_model_inst.export()) - else: - self.financial_model = self.config.fin_model_inst + # parse user input for financial model + if isinstance(self.config.fin_model, str): + financial_model = Singleowner.default(self.config.fin_model) + elif isinstance(self.config.fin_model, dict): + financial_model = CustomFinancialModel(self.config.fin_model) else: - self.financial_model = Singleowner.from_existing(self.system_model, "GenericSystemSingleOwner") - self.financial_model.value("add_om_num_types", 1) + financial_model = self.config.fin_model + + # default + if financial_model is None: + financial_model = Singleowner.from_existing(system_model, "GenericSystemSingleOwner") + financial_model.value("add_om_num_types", 1) - super().__init__("Grid", self.site, self.system_model, self.financial_model) + super().__init__("Grid", self.site, system_model, financial_model) - self.system_model.GridLimits.enable_interconnection_limit = 1 - self.system_model.GridLimits.grid_interconnection_limit_kwac = self.config.interconnect_kw + self._system_model.GridLimits.enable_interconnection_limit = 1 + self._system_model.GridLimits.grid_interconnection_limit_kwac = self.config.interconnect_kw self._dispatch = None self.missed_load = np.array([0.]) diff --git a/hopp/simulation/technologies/mhk_wave_source.py b/hopp/simulation/technologies/mhk_wave_source.py index 7dfc54a7f..1565f3137 100644 --- a/hopp/simulation/technologies/mhk_wave_source.py +++ b/hopp/simulation/technologies/mhk_wave_source.py @@ -15,8 +15,7 @@ @define class MHKConfig(BaseClass): """ - Configuration class for MHKWavePlant. Also instantiates financial model from - config dict. + Configuration class for MHKWavePlant. Args: device_rating_kw: Rated power of the MHK device in kilowatts @@ -50,15 +49,6 @@ class MHKConfig(BaseClass): loss_downtime: float = field(default=0., validator=range_val(0, 100)) loss_additional: float = field(default=0., validator=range_val(0, 100)) - # instances - fin_model_inst: CustomFinancialModel = field(init=False) - - def __attrs_post_init__(self): - if isinstance(self.fin_model, dict): - self.fin_model_inst = CustomFinancialModel(self.fin_model) - else: - self.fin_model_inst = self.fin_model - @define class MHKWavePlant(PowerSource): @@ -82,7 +72,12 @@ class MHKWavePlant(PowerSource): def __attrs_post_init__(self): system_model = MhkWave.new() - financial_model = self.import_financial_model(self.config.fin_model_inst, system_model, self.config_name) + if isinstance(self.config.fin_model, dict): + financial_model = CustomFinancialModel(self.config.fin_model) + else: + financial_model = self.config.fin_model + + financial_model = self.import_financial_model(financial_model, system_model, self.config_name) if self.cost_model_inputs is not None: self.mhk_costs = MHKCosts(self.config, self.cost_model_inputs) diff --git a/hopp/simulation/technologies/pv_source.py b/hopp/simulation/technologies/pv_source.py index 4ce8319fd..f625072ef 100644 --- a/hopp/simulation/technologies/pv_source.py +++ b/hopp/simulation/technologies/pv_source.py @@ -18,9 +18,6 @@ class PVConfig(BaseClass): """ Configuration class for PVPlant. - Converts nested dicts into relevant instances for layout and - financial configurations. - Args: system_capacity_kw: Design system capacity use_pvwatts: Whether to use PVWatts (defaults to True). If False, this @@ -41,29 +38,6 @@ class PVConfig(BaseClass): layout_model: Optional[Union[dict, PVLayout]] = field(default=None) fin_model: Optional[Union[str, dict, FinancialModelType]] = field(default=None) - # converted instances - fin_model_inst: Optional[FinancialModelType] = field(init=False) - layout_params_inst: Optional[PVGridParameters] = field(init=False) - layout_model_inst: Optional[PVLayout] = field(init=False) - - def __attrs_post_init__(self): - if isinstance(self.fin_model, str): - self.fin_model_inst = Singleowner.default(self.fin_model) - elif isinstance(self.fin_model, dict): - self.fin_model_inst = CustomFinancialModel(self.fin_model) - else: - self.fin_model_inst = self.fin_model - - if isinstance(self.layout_params, dict): - self.layout_params_inst = PVGridParameters(**self.layout_params) - else: - self.layout_params_inst = self.layout_params - - if isinstance(self.layout_model, dict): - self.layout_model_inst = PVLayout(**self.layout_model) - else: - self.layout_model_inst = self.layout_model - @define class PVPlant(PowerSource): @@ -75,7 +49,6 @@ class PVPlant(PowerSource): config: Configuration dictionary representing a PVConfig. """ - site: SiteInfo config: PVConfig @@ -84,25 +57,46 @@ class PVPlant(PowerSource): config_name: str = field(init=False, default="PVWattsSingleOwner") def __attrs_post_init__(self): - self.system_model = Pvwatts.default(self.config_name) + system_model = Pvwatts.default(self.config_name) + + # Parse input for a financial model + if isinstance(self.config.fin_model, str): + financial_model = Singleowner.default(self.config.fin_model) + elif isinstance(self.config.fin_model, dict): + financial_model = CustomFinancialModel(self.config.fin_model) + else: + financial_model = self.config.fin_model + + if financial_model is None: + # default + financial_model = Singleowner.from_existing(system_model, self.config_name) + else: + financial_model = self.import_financial_model(financial_model, system_model, self.config_name) + + # Parse input for layout params + if isinstance(self.config.layout_params, dict): + layout_params = PVGridParameters(**self.config.layout_params) + else: + layout_params = self.config.layout_params - if self.config.fin_model_inst is not None: - self.financial_model = self.import_financial_model(self.config.fin_model_inst, self.system_model, self.config_name) + # Parse input for layout model + if isinstance(self.config.layout_model, dict): + layout_model = PVLayout(**self.config.layout_model) else: - self.financial_model = Singleowner.from_existing(self.system_model, self.config_name) + layout_model = self.config.layout_model - super().__init__("PVPlant", self.site, self.system_model, self.financial_model) + super().__init__("PVPlant", self.site, system_model, financial_model) if self.site.solar_resource is not None: - self.system_model.SolarResource.solar_resource_data = self.site.solar_resource.data + self._system_model.SolarResource.solar_resource_data = self.site.solar_resource.data self.dc_degradation = [0] - if self.config.layout_model_inst is not None: - self.layout = self.config.layout_model_inst - self.layout._system_model = self.system_model + if layout_model is not None: + self.layout = layout_model + self.layout._system_model = self._system_model else: - self.layout = PVLayout(self.site, self.system_model, self.config.layout_params_inst) + self.layout = PVLayout(self.site, self._system_model, layout_params) # TODO: it seems like an anti-pattern to be doing this in each power source, # then assigning the relevant class using metaprogramming in @@ -115,23 +109,23 @@ def system_capacity_kw(self) -> float: """Gets the system capacity.""" # TODO: This is currently DC power; however, all other systems are rated by AC power # return self._system_model.SystemDesign.system_capacity / self._system_model.SystemDesign.dc_ac_ratio - return self.system_model.SystemDesign.system_capacity + return self._system_model.SystemDesign.system_capacity @system_capacity_kw.setter def system_capacity_kw(self, size_kw: float): """ Sets the system capacity and updates the system, cost and financial model. """ - self.system_model.SystemDesign.system_capacity = size_kw - self.financial_model.value('system_capacity', size_kw) # needed for custom financial models + self._system_model.SystemDesign.system_capacity = size_kw + self._financial_model.value('system_capacity', size_kw) # needed for custom financial models self.layout.set_system_capacity(size_kw) @property def dc_degradation(self) -> float: """Annual DC degradation for lifetime simulations [%/year].""" - return self.system_model.Lifetime.dc_degradation + return self._system_model.Lifetime.dc_degradation @dc_degradation.setter def dc_degradation(self, dc_deg_per_year: Sequence): """Sets annual DC degradation for lifetime simulations [%/year].""" - self.system_model.Lifetime.dc_degradation = dc_deg_per_year \ No newline at end of file + self._system_model.Lifetime.dc_degradation = dc_deg_per_year \ No newline at end of file diff --git a/hopp/simulation/technologies/wind_source.py b/hopp/simulation/technologies/wind_source.py index b20caea41..96f2458db 100644 --- a/hopp/simulation/technologies/wind_source.py +++ b/hopp/simulation/technologies/wind_source.py @@ -20,9 +20,6 @@ class WindConfig(BaseClass): """ Configuration class for WindPlant. - Converts nested dicts into relevant instances for layout and financial - configurations to accommodate HoppInterface workflow. - Args: num_turbines: number of turbines in the farm turbine_rating_kw: turbine rating @@ -32,11 +29,13 @@ class WindConfig(BaseClass): - 'boundarygrid': regular grid with boundary turbines, requires WindBoundaryGridParameters as 'params' - 'grid': regular grid with dx, dy distance, 0 angle; does not require 'params' model_name: which model to use. Options are 'floris' and 'pysam' + model_input_file: file specifying a full PySAM input layout_params: layout configuration rating_range_kw: allowable kw range of turbines, default is 1000 - 3000 kW floris_config: Floris configuration, only used if `model_name` == 'floris' timestep: Timestep (required for floris runs, otherwise optional) fin_model: Financial model + """ num_turbines: int = field(validator=gt_zero) turbine_rating_kw: float = field(validator=gt_zero) @@ -45,34 +44,20 @@ class WindConfig(BaseClass): hub_height: Optional[float] = field(default=None) layout_mode: str = field(default="grid", validator=contains(["boundarygrid", "grid"])) model_name: str = field(default="pysam", validator=contains(["pysam", "floris"])) + model_input_file: Optional[Union[str, Path]] = field(default=None) rating_range_kw: Tuple[int, int] = field(default=(1000, 3000)) floris_config: Optional[Union[dict, str, Path]] = field(default=None) timestep: Optional[Tuple[int, int]] = field(default=None) fin_model: Optional[Union[dict, Singleowner.Singleowner, CustomFinancialModel]] = field(default=None) - # converted - fin_model_inst: Optional[Union[Singleowner.Singleowner, CustomFinancialModel]] = field(init=False) - layout_params_inst: Optional[WindBoundaryGridParameters] = field(init=False) - def __attrs_post_init__(self): - if isinstance(self.fin_model, str): - self.fin_model_inst = Singleowner.default(self.fin_model) - elif isinstance(self.fin_model, dict): - self.fin_model_inst = CustomFinancialModel(self.fin_model) - else: - self.fin_model_inst = self.fin_model - - if isinstance(self.layout_params, dict): - self.layout_params_inst = WindBoundaryGridParameters(**self.layout_params) - else: - self.layout_params_inst = self.layout_params - if self.model_name == 'floris' and self.timestep is None: raise ValueError("Timestep (Tuple[int, int]) required for floris") if self.layout_mode == 'boundarygrid' and self.layout_params is None: raise ValueError("Parameters of WindBoundaryGridParameters required for boundarygrid layout mode") + @define class WindPlant(PowerSource): site: SiteInfo @@ -96,16 +81,35 @@ def __attrs_post_init__(self): system_model = Floris(self.site, self.config) financial_model = Singleowner.default(self.config_name) else: - system_model = Windpower.default(self.config_name) + if self.config.model_input_file is None: + system_model = Windpower.default(self.config_name) + else: + # TODO: use file instead of default + system_model = Windpower.default(self.config_name) + + # Parse user input for financial model + if isinstance(self.config.fin_model, str): + financial_model = Singleowner.default(self.config.fin_model) + elif isinstance(self.config.fin_model, dict): + financial_model = CustomFinancialModel(self.config.fin_model) + else: + financial_model = self.config.fin_model + + if financial_model is None: + # default financial_model = Singleowner.from_existing(system_model, self.config_name) + else: + financial_model = self.import_financial_model(financial_model, system_model, self.config_name) - if self.config.fin_model_inst is not None: - financial_model = self.import_financial_model(self.config.fin_model_inst, system_model, self.config_name) + if isinstance(self.config.layout_params, dict): + layout_params = WindBoundaryGridParameters(**self.config.layout_params) + else: + layout_params = self.config.layout_params super().__init__("WindPlant", self.site, system_model, financial_model) self._system_model.value("wind_resource_data", self.site.wind_resource.data) - self._layout = WindLayout(self.site, system_model, self.config.layout_mode, self.config.layout_params_inst) + self._layout = WindLayout(self.site, system_model, self.config.layout_mode, layout_params) self._dispatch = None diff --git a/tests/hopp/test_battery.py b/tests/hopp/test_battery.py index 9eda56a50..a30b3b45b 100644 --- a/tests/hopp/test_battery.py +++ b/tests/hopp/test_battery.py @@ -65,8 +65,8 @@ def test_battery_initialization(site, subtests): config = BatteryConfig.from_dict(config_data) battery = Battery(site, config=config) - assert battery.financial_model is not None - assert battery.system_model is not None + assert battery._financial_model is not None + assert battery._system_model is not None assert battery.outputs is not None assert battery.chemistry == "lfpgraphite" assert battery.system_capacity_kw == config.system_capacity_kw @@ -80,4 +80,4 @@ def test_battery_initialization(site, subtests): config = BatteryConfig.from_dict(data) battery = Battery(site, config=config) - assert battery.financial_model == fin_model + assert battery._financial_model == fin_model diff --git a/tests/hopp/test_battery_dispatch.py b/tests/hopp/test_battery_dispatch.py index 8f5e1310d..572ce64d7 100644 --- a/tests/hopp/test_battery_dispatch.py +++ b/tests/hopp/test_battery_dispatch.py @@ -94,8 +94,8 @@ def test_batterystateless_dispatch(): battery = Battery(site, config=config) battery._dispatch = SimpleBatteryDispatch(model, model.forecast_horizon, - battery.system_model, - battery.financial_model, + battery._system_model, + battery._financial_model, 'battery', HybridDispatchOptions()) diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index 2e89a4bb5..90661a5d0 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -306,8 +306,8 @@ def test_hybrid_detailed_pv_only(site, hybrid_config, subtests): assert pv_plant.system_capacity_kw == approx(pv_kw, 1e-2) pv_plant.simulate_power(1, False) assert pv_plant.system_capacity_kw == approx(pv_kw, 1e-2) - assert pv_plant.system_model.Outputs.annual_energy == approx(annual_energy_expected, 1e-2) - assert pv_plant.system_model.Outputs.capacity_factor == approx(25.66, 1e-2) + assert pv_plant._system_model.Outputs.annual_energy == approx(annual_energy_expected, 1e-2) + assert pv_plant._system_model.Outputs.capacity_factor == approx(25.66, 1e-2) with subtests.test("detailed PV model (pvsamv1) using defaults"): technologies = hybrid_config["technologies"] @@ -509,8 +509,8 @@ def test_hybrid_user_instantiated(site, subtests): hybrid_plant.simulate() aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values - assert hybrid_plant.pv.system_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) - assert hybrid_plant.pv.financial_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) + assert hybrid_plant.pv._system_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) + assert hybrid_plant.pv._financial_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) assert aeps.pv == approx(annual_energy_expected, 1e-3) assert aeps.hybrid == approx(annual_energy_expected, 1e-3) assert npvs.pv == approx(npv_expected, 1e-3) From d96c74d88584006debc9c3d6f6a5e9e71b10518d Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Thu, 19 Oct 2023 17:26:04 -0700 Subject: [PATCH 36/46] WIP allow PySAM wind system input file --- hopp/simulation/technologies/wind_source.py | 19 +- hopp/utilities/utilities.py | 2 +- tests/hopp/inputs/pysam_simulation_input.yaml | 495 ++++++++++++++++++ tests/hopp/inputs/wind_solar.yaml | 40 ++ tests/hopp/test_detailed_pv_plant.py | 6 +- tests/hopp/test_dispatch.py | 4 +- tests/hopp/test_grid.py | 8 +- 7 files changed, 561 insertions(+), 13 deletions(-) create mode 100644 tests/hopp/inputs/pysam_simulation_input.yaml create mode 100644 tests/hopp/inputs/wind_solar.yaml diff --git a/hopp/simulation/technologies/wind_source.py b/hopp/simulation/technologies/wind_source.py index 96f2458db..1550dc29c 100644 --- a/hopp/simulation/technologies/wind_source.py +++ b/hopp/simulation/technologies/wind_source.py @@ -6,6 +6,8 @@ from attrs import define, field from hopp.simulation.base import BaseClass +from hopp.type_dec import resource_file_converter +from hopp.utilities.utilities import load_yaml from hopp.utilities.validators import gt_zero, contains from hopp.simulation.technologies.wind.floris import Floris from hopp.simulation.technologies.power_source import PowerSource @@ -44,7 +46,7 @@ class WindConfig(BaseClass): hub_height: Optional[float] = field(default=None) layout_mode: str = field(default="grid", validator=contains(["boundarygrid", "grid"])) model_name: str = field(default="pysam", validator=contains(["pysam", "floris"])) - model_input_file: Optional[Union[str, Path]] = field(default=None) + model_input_file: Optional[str] = field(default=None) rating_range_kw: Tuple[int, int] = field(default=(1000, 3000)) floris_config: Optional[Union[dict, str, Path]] = field(default=None) timestep: Optional[Tuple[int, int]] = field(default=None) @@ -84,8 +86,19 @@ def __attrs_post_init__(self): if self.config.model_input_file is None: system_model = Windpower.default(self.config_name) else: - # TODO: use file instead of default - system_model = Windpower.default(self.config_name) + # initialize system using pysam input file + input_file_path = resource_file_converter(self.config.model_input_file) + input_dict = load_yaml(input_file_path) + + system_model = Windpower.new() + system_model.assign(input_dict) + + wind_farm_xCoordinates = input_dict['Farm']['wind_farm_xCoordinates'] + nTurbs = len(wind_farm_xCoordinates) + system_model.value("wind_resource_data", self.site.wind_resource.data) + + # turbine power curve (array of kW power outputs) + self.wind_turbine_powercurve_powerout = [1] * nTurbs # Parse user input for financial model if isinstance(self.config.fin_model, str): diff --git a/hopp/utilities/utilities.py b/hopp/utilities/utilities.py index ffff6d431..07c934243 100644 --- a/hopp/utilities/utilities.py +++ b/hopp/utilities/utilities.py @@ -20,7 +20,7 @@ def include(self, node): Loader.add_constructor('!include', Loader.include) -def load_yaml(filename, loader=Loader): +def load_yaml(filename, loader=Loader) -> dict: if isinstance(filename, dict): return filename # filename already yaml dict with open(filename) as fid: diff --git a/tests/hopp/inputs/pysam_simulation_input.yaml b/tests/hopp/inputs/pysam_simulation_input.yaml new file mode 100644 index 000000000..afdfc805a --- /dev/null +++ b/tests/hopp/inputs/pysam_simulation_input.yaml @@ -0,0 +1,495 @@ +Resource: + weibull_k_factor: 2.0 + weibull_reference_height: 50.0 + weibull_wind_speed: 7.25 + wind_resource_distribution: + - + - 3.1185 + - 45.0 + - 0.0344 + - + - 9.1355 + - 45.0 + - 0.0172 + - + - 15.1525 + - 45.0 + - 0.000457 + - + - 21.1695 + - 45.0 + - 0.0 + - + - 3.1185 + - 135.0 + - 0.0468 + - + - 9.1355 + - 135.0 + - 0.0591 + - + - 15.1525 + - 135.0 + - 0.0032 + - + - 21.1695 + - 135.0 + - 0.000114 + - + - 3.1185 + - 225.0 + - 0.0638 + - + - 9.1355 + - 225.0 + - 0.282 + - + - 15.1525 + - 225.0 + - 0.263 + - + - 21.1695 + - 225.0 + - 0.0487 + - + - 3.1185 + - 315.0 + - 0.0624 + - + - 9.1355 + - 315.0 + - 0.0974 + - + - 15.1525 + - 315.0 + - 0.0205 + - + - 21.1695 + - 315.0 + - 0.00103 + wind_resource_model_choice: 0.0 +Turbine: + wind_resource_shear: 0.14 + wind_turbine_hub_ht: 80.0 + wind_turbine_max_cp: 0.45 + wind_turbine_powercurve_powerout: + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 21.32 + - 33.51 + - 45.69 + - 65.21 + - 79.83 + - 104.25 + - 128.66 + - 157.97 + - 187.27 + - 216.58 + - 250.78 + - 292.32 + - 333.85 + - 375.4 + - 426.72 + - 475.6 + - 534.27 + - 597.81 + - 656.49 + - 724.94 + - 798.29 + - 871.63 + - 940.08 + - 1010.0 + - 1060.0 + - 1130.0 + - 1190.0 + - 1240.0 + - 1290.0 + - 1330.0 + - 1370.0 + - 1390.0 + - 1410.0 + - 1430.0 + - 1440.0 + - 1460.0 + - 1470.0 + - 1475.0 + - 1480.0 + - 1485.0 + - 1490.0 + - 1495.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 1500.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + wind_turbine_powercurve_windspeeds: + - 0.0 + - 0.25 + - 0.5 + - 0.75 + - 1.0 + - 1.25 + - 1.5 + - 1.75 + - 2.0 + - 2.25 + - 2.5 + - 2.75 + - 3.0 + - 3.25 + - 3.5 + - 3.75 + - 4.0 + - 4.25 + - 4.5 + - 4.75 + - 5.0 + - 5.25 + - 5.5 + - 5.75 + - 6.0 + - 6.25 + - 6.5 + - 6.75 + - 7.0 + - 7.25 + - 7.5 + - 7.75 + - 8.0 + - 8.25 + - 8.5 + - 8.75 + - 9.0 + - 9.25 + - 9.5 + - 9.75 + - 10.0 + - 10.25 + - 10.5 + - 10.75 + - 11.0 + - 11.25 + - 11.5 + - 11.75 + - 12.0 + - 12.25 + - 12.5 + - 12.75 + - 13.0 + - 13.25 + - 13.5 + - 13.75 + - 14.0 + - 14.25 + - 14.5 + - 14.75 + - 15.0 + - 15.25 + - 15.5 + - 15.75 + - 16.0 + - 16.25 + - 16.5 + - 16.75 + - 17.0 + - 17.25 + - 17.5 + - 17.75 + - 18.0 + - 18.25 + - 18.5 + - 18.75 + - 19.0 + - 19.25 + - 19.5 + - 19.75 + - 20.0 + - 20.25 + - 20.5 + - 20.75 + - 21.0 + - 21.25 + - 21.5 + - 21.75 + - 22.0 + - 22.25 + - 22.5 + - 22.75 + - 23.0 + - 23.25 + - 23.5 + - 23.75 + - 24.0 + - 24.25 + - 24.5 + - 24.75 + - 25.0 + - 25.25 + - 25.5 + - 25.75 + - 26.0 + - 26.25 + - 26.5 + - 26.75 + - 27.0 + - 27.25 + - 27.5 + - 27.75 + - 28.0 + - 28.25 + - 28.5 + - 28.75 + - 29.0 + - 29.25 + - 29.5 + - 29.75 + - 30.0 + - 30.25 + - 30.5 + - 30.75 + - 31.0 + - 31.25 + - 31.5 + - 31.75 + - 32.0 + - 32.25 + - 32.5 + - 32.75 + - 33.0 + - 33.25 + - 33.5 + - 33.75 + - 34.0 + - 34.25 + - 34.5 + - 34.75 + - 35.0 + - 35.25 + - 35.5 + - 35.75 + - 36.0 + - 36.25 + - 36.5 + - 36.75 + - 37.0 + - 37.25 + - 37.5 + - 37.75 + - 38.0 + - 38.25 + - 38.5 + - 38.75 + - 39.0 + - 39.25 + - 39.5 + - 39.75 + - 40.0 + wind_turbine_rotor_diameter: 100.0 +Farm: + system_capacity: 200000.0 + wind_farm_wake_model: 0.0 + wind_farm_xCoordinates: + - 0.0 + - 616.0 + - 1232.0 + - 1848.0 + - 2464.0 + - 3080.0 + - 3696.0 + - 4312.0 + - 308.0 + - 924.0 + - 1540.0 + - 2156.0 + - 2772.0 + - 3388.0 + - 4004.0 + - 4620.0 + - 0.0 + - 616.0 + - 1232.0 + - 1848.0 + - 2464.0 + - 3080.0 + - 3696.0 + - 4312.0 + - 308.0 + - 924.0 + - 1540.0 + - 2156.0 + - 2772.0 + - 3388.0 + - 4004.0 + - 4620.0 + wind_farm_yCoordinates: + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 0.0 + - 616.0 + - 616.0 + - 616.0 + - 616.0 + - 616.0 + - 616.0 + - 616.0 + - 616.0 + - 1232.0 + - 1232.0 + - 1232.0 + - 1232.0 + - 1232.0 + - 1232.0 + - 1232.0 + - 1232.0 + - 1848.0 + - 1848.0 + - 1848.0 + - 1848.0 + - 1848.0 + - 1848.0 + - 1848.0 + - 1848.0 + wind_resource_turbulence_coeff: 0.1 +Losses: + avail_bop_loss: 0.5 + avail_grid_loss: 1.5 + avail_turb_loss: 3.58 + elec_eff_loss: 1.91 + elec_parasitic_loss: 0.1 + env_degrad_loss: 1.8 + env_env_loss: 0.4 + env_exposure_loss: 0.0 + env_icing_loss: 0.21 + ops_env_loss: 1.0 + ops_grid_loss: 0.84 + ops_load_loss: 0.99 + ops_strategies_loss: 0.0 + turb_generic_loss: 1.7 + turb_hysteresis_loss: 0.4 + turb_perf_loss: 1.1 + turb_specific_loss: 0.81 + wake_ext_loss: 1.1 + wake_future_loss: 0.0 + wake_int_loss: 0.0 +Uncertainty: + total_uncert: 12.085 +AdjustmentFactors: + constant: 0.0 +Outputs: {} diff --git a/tests/hopp/inputs/wind_solar.yaml b/tests/hopp/inputs/wind_solar.yaml new file mode 100644 index 000000000..7d0db3d54 --- /dev/null +++ b/tests/hopp/inputs/wind_solar.yaml @@ -0,0 +1,40 @@ +name: wind_solar_input + +site: + data: + name: "flatirons_site" + lat: 35.2018863 + lon: -101.945027 + elev: 1099 + year: 2012 + tz: -6 + site_boundaries: + verts: [ + [3.0599999999976717, 288.87000000011176], + [0.0, 1084.0300000002608], + [1784.0499999999884, 1084.2400000002235], + [1794.0900000000256, 999.6399999996647], + [1494.3400000000256, 950.9699999997392], + [712.640000000014, 262.79999999981374], + [1216.9800000000396, 272.3600000003353], + [1217.7600000000093, 151.62000000011176], + [708.140000000014, 0.0] + ] + urdb_label: "5ca4d1175457a39b23b3d45e" + grid_resource_file: "resource_files/grid/pricing-data-2015-IronMtn-002_factors.csv" + +technologies: + pv: + # solar_size_mw: 50 + system_capacity_kw: 50000 + # dc_degradation: [0] + wind: + model_name: pysam + model_input_file: "tests/hopp/inputs/pysam_simulation_input.yaml" + num_turbines: 10 + turbine_rating_kw: 2000 + timestep: [] + grid: + interconnect_kw: 50000 + +config: \ No newline at end of file diff --git a/tests/hopp/test_detailed_pv_plant.py b/tests/hopp/test_detailed_pv_plant.py index 85c81ca97..3d91ef351 100644 --- a/tests/hopp/test_detailed_pv_plant.py +++ b/tests/hopp/test_detailed_pv_plant.py @@ -27,7 +27,7 @@ def test_detailed_pv_plant_initialization(site, subtests): config = DetailedPVConfig.from_dict(config_data) pv_plant = DetailedPVPlant(site=site, config=config) assert pv_plant.site == site - assert pv_plant.financial_model is not None + assert pv_plant._financial_model is not None assert pv_plant.layout is not None assert pv_plant.layout.parameters is None assert pv_plant.config is not None @@ -83,5 +83,5 @@ def test_custom_financial(site): 'fin_model': CustomFinancialModel(DEFAULT_FIN_CONFIG), }) pv_plant = DetailedPVPlant(site=site, config=config) - assert pv_plant.financial_model is not None - assert isinstance(pv_plant.financial_model, CustomFinancialModel) \ No newline at end of file + assert pv_plant._financial_model is not None + assert isinstance(pv_plant._financial_model, CustomFinancialModel) \ No newline at end of file diff --git a/tests/hopp/test_dispatch.py b/tests/hopp/test_dispatch.py index 4a3a3330a..409a54caa 100644 --- a/tests/hopp/test_dispatch.py +++ b/tests/hopp/test_dispatch.py @@ -70,8 +70,8 @@ def test_solar_dispatch(site): solar._dispatch = PvDispatch(model, model.forecast_horizon, - solar.system_model, - solar.financial_model) + solar._system_model, + solar._financial_model) # Manually creating objective for testing model.price = pyomo.Param(model.forecast_horizon, diff --git a/tests/hopp/test_grid.py b/tests/hopp/test_grid.py index d567b4f66..734b77ded 100644 --- a/tests/hopp/test_grid.py +++ b/tests/hopp/test_grid.py @@ -44,15 +44,15 @@ def test_grid_initialization(site, subtests): with subtests.test("default (SAM) financial model"): config = GridConfig.from_dict({"interconnect_kw": interconnect_kw}) grid = Grid(site, config=config) - assert grid.financial_model is not None + assert grid._financial_model is not None with subtests.test("provided SAM financial model"): config = GridConfig.from_dict({ "interconnect_kw": interconnect_kw, - "fin_model": grid.financial_model + "fin_model": grid._financial_model }) grid2 = Grid(site, config=config) - assert grid2.financial_model is not None + assert grid2._financial_model is not None with subtests.test("provided custom financial model"): # We'd typically use CustomFinancialModel, but we can provide a dummy @@ -63,7 +63,7 @@ def test_grid_initialization(site, subtests): "fin_model": custom_fin_model }) grid = Grid(site, config=config) - assert grid.financial_model is not None + assert grid._financial_model is not None # NOTE: simulate_power is a side effect that runs the simulation, so we mock it out From 05e47d49b40b5c3ca97e16cbdf0f9fb096ccaf9e Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Fri, 20 Oct 2023 13:45:07 -0700 Subject: [PATCH 37/46] WIP update examples --- examples/workshop/01-wind-solar.ipynb | 107 ++++--------------- examples/workshop/inputs/01-wind-solar.yaml | 14 +++ examples/workshop/inputs/flatirons_site.yaml | 38 +++++++ hopp/simulation/hopp.py | 1 + 4 files changed, 72 insertions(+), 88 deletions(-) create mode 100644 examples/workshop/inputs/01-wind-solar.yaml create mode 100644 examples/workshop/inputs/flatirons_site.yaml diff --git a/examples/workshop/01-wind-solar.ipynb b/examples/workshop/01-wind-solar.ipynb index c044cb74d..965fdecb2 100644 --- a/examples/workshop/01-wind-solar.ipynb +++ b/examples/workshop/01-wind-solar.ipynb @@ -26,12 +26,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-09-28T09.33.37.529683.log\n" + "/Users/cirmas/workspace/HOPP/examples/workshop/log/hybrid_systems_2023-10-20T13.38.08.820836.log\n" ] } ], "source": [ - "from hopp.simulation.hybrid_simulation import HybridSimulation" + "from hopp.tools.hopp_interface import HoppInterface" ] }, { @@ -42,91 +42,21 @@ "Set wind and solar resource data at plant location. In this example, we use the Flatirons site as an example location." ] }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from hopp import ROOT_DIR\n", - "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", - "\n", - "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", - "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", - "\n", - "\n", - "site = SiteInfo(\n", - " flatirons_site,\n", - " solar_resource_file=DEFAULT_SOLAR_RESOURCE_FILE,\n", - " wind_resource_file=DEFAULT_WIND_RESOURCE_FILE,\n", - " solar=True,\n", - " wind=True,\n", - " wave=False\n", - " )" - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Define System Capacities\n", - "Specify the capacities of the solar, wind, and interconnection components of the hybrid system in megawatts (MW)." + "### Create the HOPP Model\n", + "Create an instance of the `HoppInterface` class by providing the YAML configuration." ] }, { "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "solar_size_mw = 50\n", - "wind_size_mw = 50\n", - "interconnection_size_mw = 50" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define Technologies Configuration\n", - "Configure the characteristics of each technology in the system, including PV (solar), wind, and grid interconnection." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "technologies = {\n", - " 'pv': {\n", - " 'system_capacity_kw': solar_size_mw * 1000\n", - " },\n", - " 'wind': {\n", - " 'num_turbines': 10,\n", - " 'turbine_rating_kw': 5000\n", - " },\n", - " 'grid': {\n", - " 'interconnect_kw': interconnection_size_mw * 1000\n", - " }\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Create the Hybrid Simulation Model\n", - "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information." - ] - }, - { - "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ - "hybrid_plant = HybridSimulation(technologies, site)" + "hi = HoppInterface(\"./inputs/01-wind-solar.yaml\")" ] }, { @@ -139,11 +69,11 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ - "hybrid_plant.simulate(25)" + "hi.simulate(25)" ] }, { @@ -156,7 +86,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -166,16 +96,18 @@ "Wind Installed Cost: 72700000.0\n", "Solar Installed Cost: 48000000.0\n", "Hybrid Installed Cost: 120700000.0\n", - "Wind NPV: -59123006.66289619\n", + "Wind NPV: -58492882.36461778\n", "Solar NPV: -35042037.04939877\n", - "Hybrid NPV: -95616818.72323646\n", - "{\"pv\": 104053614.17593749, \"wind\": 156936144.3525466, \"hybrid\": 250319641.2168857}\n", - "{\"pv\": 23.75653291688071, \"wind\": 35.83016994350379, \"hybrid\": 29.793351430192253}\n", - "{\"pv\": -35042037.04939877, \"wind\": -59123006.66289619, \"hybrid\": -95616818.72323646}\n" + "Hybrid NPV: -95120916.57322481\n", + "{\"pv\": 104053614.17593749, \"wind\": 162478037.0463255, \"hybrid\": 254922552.1307209}\n", + "{\"pv\": 23.75653291688071, \"wind\": 37.09544224801952, \"hybrid\": 30.425987582450112}\n", + "{\"pv\": -35042037.04939877, \"wind\": -58492882.36461778, \"hybrid\": -95120916.57322481}\n" ] } ], "source": [ + "hybrid_plant = hi.system\n", + "\n", "annual_energies = hybrid_plant.annual_energies\n", "npvs = hybrid_plant.net_present_values\n", "cf = hybrid_plant.capacity_factors\n", @@ -203,7 +135,7 @@ "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" }, "kernelspec": { - "display_name": "Python 3.8.17 ('storage')", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -218,9 +150,8 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.17" - }, - "orig_nbformat": 4 + } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/examples/workshop/inputs/01-wind-solar.yaml b/examples/workshop/inputs/01-wind-solar.yaml new file mode 100644 index 000000000..3f437be37 --- /dev/null +++ b/examples/workshop/inputs/01-wind-solar.yaml @@ -0,0 +1,14 @@ +name: "Example 01" + +# SiteInfo +site: !include flatirons_site.yaml + +# Technologies +technologies: + pv: + system_capacity_kw: 50000 + wind: + num_turbines: 10 + turbine_rating_kw: 5000 + grid: + interconnect_kw: 50000 \ No newline at end of file diff --git a/examples/workshop/inputs/flatirons_site.yaml b/examples/workshop/inputs/flatirons_site.yaml new file mode 100644 index 000000000..3db0993a1 --- /dev/null +++ b/examples/workshop/inputs/flatirons_site.yaml @@ -0,0 +1,38 @@ +data: + lat: 35.2018863 + lon: -101.945027 + elev: 1099 + year: 2012 + tz: -6 + site_boundaries: + verts: + - [3.06, 288.87] + - [0.0, 1084.03] + - [1784.05, 1084.24] + - [1794.09, 999.64] + - [1494.34, 950.97] + - [712.64, 262.8] + - [1216.98, 272.36] + - [1217.76, 151.62] + - [708.14, 0.0] + verts_simple: + - [3.06, 288.87] + - [0.0, 1084.03] + - [1784.05, 1084.24] + - [1794.09, 999.64] + - [1216.98, 272.36] + - [1217.76, 151.62] + - [708.14, 0.0] + urdb_label: "5ca4d1175457a39b23b3d45e" + +solar_resource_file: "resource_files/solar/35.2018863_-101.945027_psmv3_60_2012.csv" +wind_resource_file: "resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw" +wave_resource_file: "" +grid_resource_file: "" +hub_height: 97.0 +capacity_hours: [] +desired_schedule: [] +solar: true +wind: true +wave: false +wind_resource_origin: "WTK" \ No newline at end of file diff --git a/hopp/simulation/hopp.py b/hopp/simulation/hopp.py index 1cd824bf7..35af09b20 100644 --- a/hopp/simulation/hopp.py +++ b/hopp/simulation/hopp.py @@ -39,6 +39,7 @@ def __attrs_post_init__(self) -> None: # interconnect_kw=self.interconnection_size_mw * 1000 ) + # TODO: integrate these # self.system.ppa_price = self.config['grid_config']['ppa_price'] # self.system.pv.dc_degradation = self.technologies['pv']['dc_degradation'] * 25 From 54d8c8634ce0336f01e9072d048976ece5ca3342 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Mon, 23 Oct 2023 11:49:05 -0700 Subject: [PATCH 38/46] Add ppa_price and dc_degradation configs These were previously not configurable via HoppInterface --- hopp/simulation/hopp.py | 3 - hopp/simulation/hybrid_simulation.py | 17 ++- .../technologies/detailed_pv_plant.py | 13 +- hopp/simulation/technologies/grid.py | 8 +- hopp/simulation/technologies/power_source.py | 4 +- hopp/simulation/technologies/pv_source.py | 12 +- tests/hopp/inputs/flatirons_site.yaml | 30 +++++ tests/hopp/inputs/hybrid_run.yaml | 4 +- tests/hopp/test_csp.py | 62 +++++---- tests/hopp/test_custom_financial.py | 22 ++-- tests/hopp/test_dispatch.py | 14 +- tests/hopp/test_hybrid.py | 124 ++++++++---------- 12 files changed, 181 insertions(+), 132 deletions(-) create mode 100644 tests/hopp/inputs/flatirons_site.yaml diff --git a/hopp/simulation/hopp.py b/hopp/simulation/hopp.py index 35af09b20..3eff9bfb6 100644 --- a/hopp/simulation/hopp.py +++ b/hopp/simulation/hopp.py @@ -36,12 +36,9 @@ def __attrs_post_init__(self) -> None: self.config.get("dispatch_options"), self.config.get("cost_info"), self.config.get("simulation_options"), - # interconnect_kw=self.interconnection_size_mw * 1000 ) - # TODO: integrate these # self.system.ppa_price = self.config['grid_config']['ppa_price'] - # self.system.pv.dc_degradation = self.technologies['pv']['dc_degradation'] * 25 def simulate(self, project_life: int = 25, lifetime_sim: bool = False): self.system.simulate(project_life, lifetime_sim) diff --git a/hopp/simulation/hybrid_simulation.py b/hopp/simulation/hybrid_simulation.py index ae1968562..ca8057871 100644 --- a/hopp/simulation/hybrid_simulation.py +++ b/hopp/simulation/hybrid_simulation.py @@ -1,4 +1,4 @@ -from typing import Dict, Optional, Sequence, Union +from typing import Dict, Iterable, Optional, Sequence, Union import csv from pathlib import Path @@ -265,6 +265,7 @@ def __attrs_post_init__(self): self.technologies["grid"] = self.grid self.interconnect_kw = self.grid.interconnect_kw + else: raise Exception("Grid parameters must be specified") @@ -274,7 +275,7 @@ def __attrs_post_init__(self): self.dispatch_builder = HybridDispatchBuilderSolver(self.site, self.technologies, - dispatch_options=self.dispatch_options) + dispatch_options=self.dispatch_options or {}) # Default cost calculator, can be overwritten self.cost_model = create_cost_calculator(self.interconnect_kw, **self.cost_info or {}) @@ -287,6 +288,10 @@ def __attrs_post_init__(self): self.ppa_price = 0.001 self.dispatch_factors = self.site.elec_prices.data + # allow user-specified ppa price + if grid_config.ppa_price: + self.ppa_price = grid_config.ppa_price + def check_consistent_financial_models(self): fin_models = {} for tech, model in self.technologies.items(): @@ -729,14 +734,14 @@ def interconnect_kw(self, ic_kw: float): self.grid.value("grid_interconnection_limit_kwac", ic_kw) @property - def ppa_price(self) -> float: + def ppa_price(self) -> tuple: """Power Purchased Agreement Price [$/kWh]""" return self.grid.ppa_price @ppa_price.setter - def ppa_price(self, ppa_price: float): - for tech, _ in self.technologies.items(): - getattr(self, tech).ppa_price = ppa_price + def ppa_price(self, ppa_price: Union[Iterable, float]): + for tech, model in self.technologies.items(): + model.ppa_price = ppa_price self.grid.ppa_price = ppa_price @property diff --git a/hopp/simulation/technologies/detailed_pv_plant.py b/hopp/simulation/technologies/detailed_pv_plant.py index c0481be38..119651a13 100644 --- a/hopp/simulation/technologies/detailed_pv_plant.py +++ b/hopp/simulation/technologies/detailed_pv_plant.py @@ -1,4 +1,4 @@ -from typing import Sequence, Optional, Union +from typing import Sequence, Optional, Union, List from attrs import define, field import PySAM.Pvsamv1 as Pvsam @@ -42,6 +42,7 @@ class DetailedPVConfig(BaseClass): - an object representing a `CustomFinancialModel` or `Singleowner.Singleowner` instance tech_config: Optional dict with more detailed system configuration + dc_degradation: Annual DC degradation for lifetime simulations [%/year] """ system_capacity_kw: Optional[float] = field(default=None) @@ -51,9 +52,7 @@ class DetailedPVConfig(BaseClass): layout_params: Optional[Union[dict, PVGridParameters]] = field(default=None) layout_model: Optional[Union[dict, PVLayout]] = field(default=None) fin_model: Optional[Union[str, dict, FinancialModelType]] = field(default=None) - - def __attrs_post_init__(self): - pass + dc_degradation: Optional[List[float]] = field(default=None) @define @@ -103,7 +102,11 @@ def __attrs_post_init__(self): if self.site.solar_resource is not None: self._system_model.SolarResource.solar_resource_data = self.site.solar_resource.data - self.dc_degradation = [0] + + if self.config.dc_degradation is not None: + self.dc_degradation = self.config.dc_degradation + else: + self.dc_degradation = [0] if layout_model is not None: self.layout = layout_model diff --git a/hopp/simulation/technologies/grid.py b/hopp/simulation/technologies/grid.py index 020458665..fc40f376b 100644 --- a/hopp/simulation/technologies/grid.py +++ b/hopp/simulation/technologies/grid.py @@ -1,4 +1,4 @@ -from typing import List, Sequence, Optional, Union +from typing import Iterable, List, Sequence, Optional, Union import numpy as np from attrs import define, field @@ -25,10 +25,11 @@ class GridConfig(BaseClass): - a dict representing a `CustomFinancialModel` - an object representing a `CustomFinancialModel` or `Singleowner.Singleowner` instance - + ppa_price: PPA price [$/kWh] used in the financial model """ interconnect_kw: float = field(validator=gt_zero) fin_model: Optional[Union[str, dict, FinancialModelType]] = None + ppa_price: Optional[Union[Iterable, float]] = None @define @@ -69,6 +70,9 @@ def __attrs_post_init__(self): super().__init__("Grid", self.site, system_model, financial_model) + if self.config.ppa_price is not None: + self.ppa_price = self.config.ppa_price + self._system_model.GridLimits.enable_interconnection_limit = 1 self._system_model.GridLimits.grid_interconnection_limit_kwac = self.config.interconnect_kw self._dispatch = None diff --git a/hopp/simulation/technologies/power_source.py b/hopp/simulation/technologies/power_source.py index cba8da6f0..4a815e78e 100644 --- a/hopp/simulation/technologies/power_source.py +++ b/hopp/simulation/technologies/power_source.py @@ -1,4 +1,4 @@ -from typing import Iterable, Sequence +from typing import Iterable, Sequence, Union import numpy as np import pandas as pd @@ -358,7 +358,7 @@ def ppa_price(self) -> tuple: return self._financial_model.value("ppa_price_input") @ppa_price.setter - def ppa_price(self, ppa_price): + def ppa_price(self, ppa_price: Union[Iterable, float]): """PPA price [$/kWh] used in the financial model. :param ppa_price: float or list, PPA price [$/kWh] If a float is provided, then it is applied to diff --git a/hopp/simulation/technologies/pv_source.py b/hopp/simulation/technologies/pv_source.py index f625072ef..19a16b54b 100644 --- a/hopp/simulation/technologies/pv_source.py +++ b/hopp/simulation/technologies/pv_source.py @@ -1,4 +1,4 @@ -from typing import Sequence, Optional, Union +from typing import List, Sequence, Optional, Union from attrs import define, field import PySAM.Pvwattsv8 as Pvwatts @@ -21,7 +21,7 @@ class PVConfig(BaseClass): Args: system_capacity_kw: Design system capacity use_pvwatts: Whether to use PVWatts (defaults to True). If False, this - config should be used in a `DetailedPVPlant`. + config should be used in a `DetailedPVPlant` layout_params: Optional layout parameters layout_model: Optional layout model instance fin_model: Financial model. Can be any of the following: @@ -29,7 +29,7 @@ class PVConfig(BaseClass): - a dict representing a `CustomFinancialModel` - an object representing a `CustomFinancialModel` or `Singleowner.Singleowner` instance - + dc_degradation: Annual DC degradation for lifetime simulations [%/year] """ system_capacity_kw: float = field(validator=gt_zero) @@ -37,6 +37,7 @@ class PVConfig(BaseClass): layout_params: Optional[Union[dict, PVGridParameters]] = field(default=None) layout_model: Optional[Union[dict, PVLayout]] = field(default=None) fin_model: Optional[Union[str, dict, FinancialModelType]] = field(default=None) + dc_degradation: Optional[List[float]] = field(default=None) @define @@ -90,7 +91,10 @@ def __attrs_post_init__(self): if self.site.solar_resource is not None: self._system_model.SolarResource.solar_resource_data = self.site.solar_resource.data - self.dc_degradation = [0] + if self.config.dc_degradation is not None: + self.dc_degradation = self.config.dc_degradation + else: + self.dc_degradation = [0] if layout_model is not None: self.layout = layout_model diff --git a/tests/hopp/inputs/flatirons_site.yaml b/tests/hopp/inputs/flatirons_site.yaml new file mode 100644 index 000000000..2073cd80f --- /dev/null +++ b/tests/hopp/inputs/flatirons_site.yaml @@ -0,0 +1,30 @@ +data: + lat: 35.2018863 + lon: -101.945027 + elev: 1099 + year: 2012 + tz: -6 + site_boundaries: + verts: + - [3.06, 288.87] + - [0.0, 1084.03] + - [1784.05, 1084.24] + - [1794.09, 999.64] + - [1494.34, 950.97] + - [712.64, 262.8] + - [1216.98, 272.36] + - [1217.76, 151.62] + - [708.14, 0.0] + urdb_label: "5ca4d1175457a39b23b3d45e" + +solar_resource_file: "resource_files/solar/35.2018863_-101.945027_psmv3_60_2012.csv" +wind_resource_file: "resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw" +wave_resource_file: "" +grid_resource_file: "" +hub_height: 97.0 +capacity_hours: [] +desired_schedule: [] +solar: true +wind: true +wave: false +wind_resource_origin: "WTK" \ No newline at end of file diff --git a/tests/hopp/inputs/hybrid_run.yaml b/tests/hopp/inputs/hybrid_run.yaml index 8ed60fb63..bce9653b2 100644 --- a/tests/hopp/inputs/hybrid_run.yaml +++ b/tests/hopp/inputs/hybrid_run.yaml @@ -1,7 +1,7 @@ name: Hybrid Test # SiteInfo -site: +site: !include flatirons_site.yaml # Technologies technologies: @@ -14,6 +14,7 @@ technologies: gcr: 0.5 s_buffer: 2 x_buffer: 2 + dc_degradation: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] wind: num_turbines: 5 turbine_rating_kw: 2000 @@ -37,6 +38,7 @@ technologies: system_capacity_kwh: 20000 grid: interconnect_kw: 15000 + ppa_price: 0.01 # Additional config options config: diff --git a/tests/hopp/test_csp.py b/tests/hopp/test_csp.py index 6809f98ad..a7dd2af8c 100644 --- a/tests/hopp/test_csp.py +++ b/tests/hopp/test_csp.py @@ -172,11 +172,18 @@ def test_tower_with_dispatch_model(site): expected_energy = 3842225.688 interconnection_size_kw = 50000 - technologies = {'tower': {'cycle_capacity_kw': 50 * 1000, - 'solar_multiple': 2.0, - 'tes_hours': 6.0, - 'optimize_field_before_sim': False}, - 'grid': {'interconnect_kw': interconnection_size_kw}} + technologies = { + 'tower': { + 'cycle_capacity_kw': 50 * 1000, + 'solar_multiple': 2.0, + 'tes_hours': 6.0, + 'optimize_field_before_sim': False + }, + 'grid': { + 'interconnect_kw': interconnection_size_kw, + 'ppa_price': 0.12 + } + } hopp_config = { "site": site, @@ -198,8 +205,7 @@ def test_tower_with_dispatch_model(site): system.tower.value('rec_height', 11.3) system.tower.value('D_rec', 11.12) - system.ppa_price = (0.12, ) - system.simulate() + hi.simulate() assert system.tower.annual_energy_kwh == pytest.approx(expected_energy, 1e-2) @@ -231,10 +237,17 @@ def test_trough_with_dispatch_model(site): expected_energy = 1873589.560 interconnection_size_kw = 50000 - technologies = {'trough': {'cycle_capacity_kw': 50 * 1000, - 'solar_multiple': 2.0, - 'tes_hours': 6.0}, - 'grid': {'interconnect_kw': interconnection_size_kw}} + technologies = { + 'trough': { + 'cycle_capacity_kw': 50 * 1000, + 'solar_multiple': 2.0, + 'tes_hours': 6.0 + }, + 'grid': { + 'interconnect_kw': interconnection_size_kw, + 'ppa_price': 0.12 + } + } hopp_config = { "site": site, @@ -248,8 +261,8 @@ def test_trough_with_dispatch_model(site): } hi = HoppInterface(hopp_config) system = hi.system - system.ppa_price = (0.12,) - system.simulate() + + hi.simulate() assert system.trough.annual_energy_kwh == pytest.approx(expected_energy, 1e-2) @@ -280,23 +293,28 @@ def test_trough_with_dispatch_model(site): def test_tower_field_optimize_before_sim(site): """Testing pySSC tower model using HOPP built-in dispatch model""" interconnection_size_kw = 50000 - technologies = {'tower': {'cycle_capacity_kw': 50 * 1000, - 'solar_multiple': 2.0, - 'tes_hours': 6.0, - 'optimize_field_before_sim': True}, - 'grid': {'interconnect_kw': interconnection_size_kw}} + technologies = { + 'tower': { + 'cycle_capacity_kw': 50 * 1000, + 'solar_multiple': 2.0, + 'tes_hours': 6.0, + 'optimize_field_before_sim': True + }, + 'grid': { + 'interconnect_kw': interconnection_size_kw, + 'ppa_price': 0.12 + } + } - system = {key: technologies[key] for key in ('tower', 'grid')} hopp_config = { "site": site, - "technologies": system, + "technologies": technologies, "config": { "dispatch_options": {'is_test_start_year': True} } } hi = HoppInterface(hopp_config) system = hi.system - system.ppa_price = (0.12,) system.tower.value('helio_width', 10.0) system.tower.value('helio_height', 10.0) @@ -309,7 +327,7 @@ def test_tower_field_optimize_before_sim(site): for k in field_parameters: old_values[k] = system.tower.value(k) - system.simulate() + hi.simulate() new_values = {} for k in field_parameters: diff --git a/tests/hopp/test_custom_financial.py b/tests/hopp/test_custom_financial.py index f9d305baf..afc295e9e 100644 --- a/tests/hopp/test_custom_financial.py +++ b/tests/hopp/test_custom_financial.py @@ -53,10 +53,12 @@ def test_detailed_pv(site): "x_buffer": 2 }, 'fin_model': DEFAULT_FIN_CONFIG, + 'dc_degradation': [0] * 25 }, "grid": { 'interconnect_kw': interconnect_kw, 'fin_model': DEFAULT_FIN_CONFIG, + 'ppa_price': 0.01 } } } @@ -82,8 +84,6 @@ def test_detailed_pv(site): hybrid_plant.pv.value('analysis_period', analysis_period_orig) # reset value hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.simulate() @@ -121,6 +121,7 @@ def test_hybrid_simple_pv_with_wind(site): "x_buffer": 2 }, 'fin_model': DEFAULT_FIN_CONFIG, + 'dc_degradation': [0] * 25 }, 'wind': { 'num_turbines': 5, @@ -138,7 +139,8 @@ def test_hybrid_simple_pv_with_wind(site): 'grid': { 'interconnect_kw': interconnect_kw, 'fin_model': DEFAULT_FIN_CONFIG, - } + 'ppa_price': 0.01 + }, } hopp_config = { @@ -148,8 +150,6 @@ def test_hybrid_simple_pv_with_wind(site): hi = HoppInterface(hopp_config) hybrid_plant = hi.system hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.simulate() @@ -198,6 +198,7 @@ def test_hybrid_detailed_pv_with_wind(site): 'tech_config': tech_config, 'layout_params': layout_params, 'fin_model': DEFAULT_FIN_CONFIG, + 'dc_degradation': [0] * 25 }, 'wind': { 'num_turbines': 5, @@ -215,6 +216,7 @@ def test_hybrid_detailed_pv_with_wind(site): 'grid': { 'interconnect_kw': interconnect_kw, 'fin_model': DEFAULT_FIN_CONFIG, + 'ppa_price': 0.01 } } hopp_config = { @@ -225,8 +227,6 @@ def test_hybrid_detailed_pv_with_wind(site): hi = HoppInterface(hopp_config) hybrid_plant = hi.system hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.simulate() @@ -271,6 +271,7 @@ def test_hybrid_simple_pv_with_wind_storage_dispatch(site): "x_buffer": 2 }, 'fin_model': DEFAULT_FIN_CONFIG, + 'dc_degradation': [0] * 25 }, 'wind': { 'num_turbines': 5, @@ -293,6 +294,7 @@ def test_hybrid_simple_pv_with_wind_storage_dispatch(site): 'grid': { 'interconnect_kw': interconnect_kw, 'fin_model': DEFAULT_FIN_CONFIG, + 'ppa_price': 0.03 } } hopp_config = { @@ -303,8 +305,6 @@ def test_hybrid_simple_pv_with_wind_storage_dispatch(site): hybrid_plant = hi.system hybrid_plant.layout.plot() hybrid_plant.battery.dispatch.lifecycle_cost_per_kWh_cycle = 0.01 - hybrid_plant.ppa_price = (0.03, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.simulate() @@ -360,6 +360,7 @@ def test_hybrid_detailed_pv_with_wind_storage_dispatch(site): "x_buffer": 2 }, 'fin_model': DEFAULT_FIN_CONFIG, + 'dc_degradation': [0] * 25 }, 'wind': { 'num_turbines': 5, @@ -382,6 +383,7 @@ def test_hybrid_detailed_pv_with_wind_storage_dispatch(site): 'grid': { 'interconnect_kw': interconnect_kw, 'fin_model': DEFAULT_FIN_CONFIG, + 'ppa_price': 0.03 } } hopp_config = { @@ -392,8 +394,6 @@ def test_hybrid_detailed_pv_with_wind_storage_dispatch(site): hybrid_plant = hi.system hybrid_plant.layout.plot() hybrid_plant.battery.dispatch.lifecycle_cost_per_kWh_cycle = 0.01 - hybrid_plant.ppa_price = (0.03, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.simulate() diff --git a/tests/hopp/test_dispatch.py b/tests/hopp/test_dispatch.py index 409a54caa..cc9233248 100644 --- a/tests/hopp/test_dispatch.py +++ b/tests/hopp/test_dispatch.py @@ -52,7 +52,8 @@ def site(): 'tes_hours': 6.0 }, 'grid': { - 'interconnect_kw': interconnect_mw * 1000 + 'interconnect_kw': interconnect_mw * 1000, + 'ppa_price': 0.06 } } @@ -597,7 +598,6 @@ def test_pv_wind_battery_hybrid_dispatch(site): hybrid_plant = hi.system hybrid_plant.grid.value("federal_tax_rate", (0., )) hybrid_plant.grid.value("state_tax_rate", (0., )) - hybrid_plant.ppa_price = (0.06, ) hybrid_plant.pv.dc_degradation = [0.5] * 1 hybrid_plant.pv.simulate(1) @@ -657,7 +657,7 @@ def test_hybrid_dispatch_heuristic(site): hybrid_plant.battery.dispatch.user_fixed_dispatch = fixed_dispatch - hybrid_plant.simulate(1) + hi.simulate(1) assert sum(hybrid_plant.battery.dispatch.charge_power) > 0.0 assert sum(hybrid_plant.battery.dispatch.discharge_power) > 0.0 @@ -677,7 +677,7 @@ def test_hybrid_dispatch_one_cycle_heuristic(site): hi = HoppInterface(hopp_config) hybrid_plant = hi.system - hybrid_plant.simulate(1) + hi.simulate(1) assert sum(hybrid_plant.battery.outputs.P) < 0.0 @@ -753,9 +753,8 @@ def test_hybrid_dispatch_financials(site): } hi = HoppInterface(hopp_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.06,) - hybrid_plant.simulate(1) + hi.simulate(1) assert sum(hybrid_plant.battery.outputs.P) < 0.0 @@ -792,11 +791,10 @@ def test_desired_schedule_dispatch(site): } hi = HoppInterface(hopp_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.06, ) # Constant price # hybrid_plant.site.elec_prices = [100] * hybrid_plant.site.n_timesteps - hybrid_plant.simulate(1) + hi.simulate(1) system_generation = hybrid_plant.dispatch_builder.dispatch.system_generation system_load = hybrid_plant.dispatch_builder.dispatch.system_load diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index 90661a5d0..6ad031c02 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -5,8 +5,6 @@ from pytest import approx, fixture, raises import numpy as np import json -import PySAM.Singleowner as Singleowner -from attrs import asdict from hopp.tools.hopp_interface import HoppInterface @@ -23,12 +21,10 @@ @fixture -def hybrid_config(site): +def hybrid_config(): """Loads the config YAML and updates site info to use resource files.""" hybrid_config_path = ROOT_DIR.parent / "tests" / "hopp" / "inputs" / "hybrid_run.yaml" hybrid_config = load_yaml(hybrid_config_path) - # set manually so we don't have to hardcode resource filepaths for tests - hybrid_config["site"] = asdict(site) return hybrid_config @@ -193,7 +189,6 @@ def test_hybrid_wind_only(hybrid_config): hybrid_config["technologies"] = wind_only hi = HoppInterface(hybrid_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.01, ) hi.simulate(25) @@ -216,8 +211,6 @@ def test_hybrid_pv_only(hybrid_config): hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hi.simulate() @@ -244,8 +237,6 @@ def test_detailed_pv_system_capacity(hybrid_config, subtests): hybrid_plant = hi.system assert hybrid_plant.pv.value('subarray1_nstrings') == 1343 hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hi.simulate() @@ -286,8 +277,6 @@ def test_detailed_pv_system_capacity(hybrid_config, subtests): hybrid_plant = hi.system assert hybrid_plant.pv.value('subarray1_nstrings') == 1343 hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hi.simulate() aeps = hybrid_plant.annual_energies @@ -322,8 +311,6 @@ def test_hybrid_detailed_pv_only(site, hybrid_config, subtests): hi = HoppInterface(hybrid_config) hybrid_plant = hi.system hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hi.simulate() @@ -349,8 +336,6 @@ def test_hybrid_detailed_pv_only(site, hybrid_config, subtests): hi = HoppInterface(hybrid_config) hybrid_plant = hi.system hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hi.simulate() @@ -373,8 +358,6 @@ def test_hybrid_detailed_pv_only(site, hybrid_config, subtests): # } # hybrid_plant = HybridSimulation(power_sources, site) # hybrid_plant.layout.plot() - # hybrid_plant.ppa_price = (0.01, ) - # hybrid_plant.pv.dc_degradation = [0] * 25 # hi.simulate() # aeps = hybrid_plant.annual_energies # npvs = hybrid_plant.net_present_values @@ -420,8 +403,6 @@ def test_hybrid_detailed_pv_only(site, hybrid_config, subtests): hi = HoppInterface(hybrid_config) hybrid_plant = hi.system hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hi.simulate() @@ -457,10 +438,12 @@ def test_hybrid_user_instantiated(site, subtests): 'pv': { 'use_pvwatts': False, 'tech_config': {'system_capacity_kw': system_capacity_kw}, - "layout_params": layout_params + "layout_params": layout_params, + 'dc_degradation': [0] * 25 }, 'grid': { - 'interconnect_kw': interconnect_kw + 'interconnect_kw': interconnect_kw, + 'ppa_price': 0.01 } } hopp_config = { @@ -470,8 +453,6 @@ def test_hybrid_user_instantiated(site, subtests): hi = HoppInterface(hopp_config) hybrid_plant = hi.system hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.simulate() aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values @@ -490,10 +471,12 @@ def test_hybrid_user_instantiated(site, subtests): 'system_capacity_kw': system_capacity_kw, 'layout_params': layout_params, 'fin_model': 'FlatPlatePVSingleOwner', + 'dc_degradation': [0] * 25 }, 'grid': { 'interconnect_kw': interconnect_kw, 'fin_model': 'GenericSystemSingleOwner', + 'ppa_price': 0.01 } } hopp_config = { @@ -504,9 +487,9 @@ def test_hybrid_user_instantiated(site, subtests): hybrid_plant = hi.system assert hybrid_plant.pv is not None hybrid_plant.layout.plot() - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 + hybrid_plant.simulate() + aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values assert hybrid_plant.pv._system_model.value("system_capacity") == approx(system_capacity_kw_expected, 1e-3) @@ -579,8 +562,6 @@ def test_custom_layout(hybrid_config): } hybrid_plant = HybridSimulation(solar_only, site) - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.simulate() aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values @@ -603,8 +584,6 @@ def test_custom_layout(hybrid_config): } } hybrid_plant = HybridSimulation(solar_only, site) - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.simulate() aeps = hybrid_plant.annual_energies npvs = hybrid_plant.net_present_values @@ -623,8 +602,6 @@ def test_hybrid(hybrid_config): hybrid_config["technologies"] = solar_wind_hybrid hi = HoppInterface(hybrid_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.01, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hi.simulate() @@ -644,10 +621,9 @@ def test_wind_pv_with_storage_dispatch(hybrid_config): technologies = hybrid_config["technologies"] wind_pv_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} hybrid_config["technologies"] = wind_pv_battery + hybrid_config["technologies"]["grid"]["ppa_price"] = 0.03 hi = HoppInterface(hybrid_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.03, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hi.simulate() @@ -721,11 +697,18 @@ def test_wind_pv_with_storage_dispatch(hybrid_config): def test_tower_pv_hybrid(hybrid_config): interconnection_size_kw_test = 50000 - technologies_test = {'tower': {'cycle_capacity_kw': 50 * 1000, - 'solar_multiple': 2.0, - 'tes_hours': 12.0}, - 'pv': {'system_capacity_kw': 50 * 1000}, - 'grid': {'interconnect_kw': interconnection_size_kw_test}} + technologies_test = { + 'tower': { + 'cycle_capacity_kw': 50 * 1000, + 'solar_multiple': 2.0, + 'tes_hours': 12.0 + }, + 'pv': {'system_capacity_kw': 50 * 1000}, + 'grid': { + 'interconnect_kw': interconnection_size_kw_test, + 'ppa_price': 0.12 + } + } solar_hybrid = {key: technologies_test[key] for key in ('tower', 'pv', 'grid')} hybrid_config["technologies"] = solar_hybrid @@ -733,8 +716,6 @@ def test_tower_pv_hybrid(hybrid_config): hybrid_config["config"]["dispatch_options"] = dispatch_options hi = HoppInterface(hybrid_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.12, ) # $/kWh - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.tower.value('helio_width', 8.0) hybrid_plant.tower.value('helio_height', 8.0) @@ -755,11 +736,18 @@ def test_tower_pv_hybrid(hybrid_config): def test_trough_pv_hybrid(hybrid_config): interconnection_size_kw_test = 50000 - technologies_test = {'trough': {'cycle_capacity_kw': 50 * 1000, - 'solar_multiple': 2.0, - 'tes_hours': 12.0}, - 'pv': {'system_capacity_kw': 50 * 1000}, - 'grid': {'interconnect_kw': interconnection_size_kw_test}} + technologies_test = { + 'trough': { + 'cycle_capacity_kw': 50 * 1000, + 'solar_multiple': 2.0, + 'tes_hours': 12.0 + }, + 'pv': {'system_capacity_kw': 50 * 1000}, + 'grid': { + 'interconnect_kw': interconnection_size_kw_test, + 'ppa_price': 0.12 + }, + } solar_hybrid = {key: technologies_test[key] for key in ('trough', 'pv', 'grid')} hybrid_config["technologies"] = solar_hybrid @@ -767,8 +755,6 @@ def test_trough_pv_hybrid(hybrid_config): hybrid_config["config"]["dispatch_options"] = dispatch_options hi = HoppInterface(hybrid_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.12, ) # $/kWh - hybrid_plant.pv.dc_degradation = [0] * 25 hi.simulate() @@ -786,13 +772,22 @@ def test_trough_pv_hybrid(hybrid_config): def test_tower_pv_battery_hybrid(hybrid_config): interconnection_size_kw_test = 50000 - technologies_test = {'tower': {'cycle_capacity_kw': 50 * 1000, - 'solar_multiple': 2.0, - 'tes_hours': 12.0}, - 'pv': {'system_capacity_kw': 50 * 1000}, - 'battery': {'system_capacity_kwh': 40 * 1000, - 'system_capacity_kw': 20 * 1000}, - 'grid': {'interconnect_kw': interconnection_size_kw_test}} + technologies_test = { + 'tower': { + 'cycle_capacity_kw': 50 * 1000, + 'solar_multiple': 2.0, + 'tes_hours': 12.0 + }, + 'pv': {'system_capacity_kw': 50 * 1000}, + 'battery': { + 'system_capacity_kwh': 40 * 1000, + 'system_capacity_kw': 20 * 1000 + }, + 'grid': { + 'interconnect_kw': interconnection_size_kw_test, + 'ppa_price': 0.12 + } + } solar_hybrid = {key: technologies_test[key] for key in ('tower', 'pv', 'battery', 'grid')} dispatch_options={'is_test_start_year': True, 'is_test_end_year': True} @@ -800,8 +795,6 @@ def test_tower_pv_battery_hybrid(hybrid_config): hybrid_config["config"]["dispatch_options"] = dispatch_options hi = HoppInterface(hybrid_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.12, ) # $/kWh - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.tower.value('helio_width', 10.0) hybrid_plant.tower.value('helio_height', 10.0) @@ -824,11 +817,10 @@ def test_hybrid_om_costs_error(hybrid_config): wind_pv_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} dispatch_options={'battery_dispatch': 'one_cycle_heuristic'} hybrid_config["technologies"] = wind_pv_battery + hybrid_config["technologies"]["grid"]["ppa_price"] = 0.03 hybrid_config["config"]["dispatch_options"] = dispatch_options hi = HoppInterface(hybrid_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.03, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.battery._financial_model.value('om_production', (1,)) try: @@ -841,13 +833,11 @@ def test_hybrid_om_costs(hybrid_config): wind_pv_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} dispatch_options={'battery_dispatch': 'one_cycle_heuristic'} hybrid_config["technologies"] = wind_pv_battery + hybrid_config["technologies"]["grid"]["ppa_price"] = 0.03 hybrid_config["config"]["dispatch_options"] = dispatch_options hi = HoppInterface(hybrid_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.03, ) - hybrid_plant.pv.dc_degradation = [0] * 25 - # set all O&M costs to 0 to start hybrid_plant.wind.om_fixed = 0 hybrid_plant.wind.om_capacity = 0 @@ -919,12 +909,11 @@ def test_hybrid_tax_incentives(hybrid_config): wind_pv_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery', 'grid')} dispatch_options={'battery_dispatch': 'one_cycle_heuristic'} hybrid_config["technologies"] = wind_pv_battery + hybrid_config["technologies"]["grid"]["ppa_price"] = 0.03 hybrid_config["config"]["dispatch_options"] = dispatch_options hi = HoppInterface(hybrid_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.03, ) - hybrid_plant.pv.dc_degradation = [0] * 25 hybrid_plant.pv._financial_model.value('itc_fed_percent', 0.0) hybrid_plant.wind._financial_model.value('ptc_fed_amount', (1,)) hybrid_plant.pv._financial_model.value('ptc_fed_amount', (2,)) @@ -956,14 +945,13 @@ def test_capacity_credit(hybrid_config): site = create_default_site_info(capacity_hours=capacity_credit_hours) wind_pv_battery = {key: technologies[key] for key in ('pv', 'wind', 'battery')} wind_pv_battery['grid'] = { - 'interconnect_kw': interconnection_size_kw - } + 'interconnect_kw': interconnection_size_kw, + 'ppa_price': 0.03 + } hybrid_config["technologies"] = wind_pv_battery hybrid_config["site"] = site hi = HoppInterface(hybrid_config) hybrid_plant = hi.system - hybrid_plant.ppa_price = (0.03, ) - hybrid_plant.pv.dc_degradation = [0] * 25 assert hybrid_plant.interconnect_kw == 15e3 From 7e2ceaf8e671dc6495812ec44ab0476027c45d61 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Mon, 23 Oct 2023 12:29:33 -0700 Subject: [PATCH 39/46] Move hopp_interface.py --- hopp/simulation/__init__.py | 4 +-- hopp/simulation/hopp_interface.py | 51 +++++++++++++++++++++++++++++ tests/hopp/test_csp.py | 2 +- tests/hopp/test_custom_financial.py | 5 +-- tests/hopp/test_dispatch.py | 2 +- tests/hopp/test_hybrid.py | 7 ++-- 6 files changed, 58 insertions(+), 13 deletions(-) create mode 100644 hopp/simulation/hopp_interface.py diff --git a/hopp/simulation/__init__.py b/hopp/simulation/__init__.py index 3fe78a95b..dbd85c87d 100644 --- a/hopp/simulation/__init__.py +++ b/hopp/simulation/__init__.py @@ -1,3 +1 @@ -from hopp.simulation.hybrid_simulation import HybridSimulation -from hopp.simulation.hopp import Hopp -from hopp.simulation.base import BaseClass, BaseModel, SystemModel, FinancialModel, ControlModel +from hopp.simulation.hopp_interface import HoppInterface \ No newline at end of file diff --git a/hopp/simulation/hopp_interface.py b/hopp/simulation/hopp_interface.py new file mode 100644 index 000000000..c93a2b6dc --- /dev/null +++ b/hopp/simulation/hopp_interface.py @@ -0,0 +1,51 @@ +from __future__ import annotations +from pathlib import Path +from typing import Union, TYPE_CHECKING + +from hopp.simulation.hopp import Hopp + +# avoid potential circular dep +if TYPE_CHECKING: + from hopp.simulation.hybrid_simulation import HybridSimulation + + +class HoppInterface(): + def __init__(self, configuration: Union[dict, str, Path]): + self.configuration = configuration + + if isinstance(self.configuration, (str, Path)): + self.hopp = Hopp.from_file(self.configuration) + + elif isinstance(self.configuration, dict): + self.hopp = Hopp.from_dict(self.configuration) + + def reinitialize(self): + pass + + def simulate(self, project_life: int = 25, lifetime_sim: bool = False): + self.hopp.simulate(project_life, lifetime_sim) + + @property + def system(self) -> "HybridSimulation": + """Returns the configured simulation instance.""" + return self.hopp.system + + def parse_input(self): + pass + + def parse_output(self): + self.annual_energies = self.hopp.system.annual_energies + self.wind_plus_solar_npv = self.hopp.system.net_present_values.wind + self.hopp.system.net_present_values.pv + self.npvs = self.hopp.system.net_present_values + self.wind_installed_cost = self.hopp.system.wind.total_installed_cost + self.solar_installed_cost = self.hopp.system.pv.total_installed_cost + self.hybrid_installed_cost = self.hopp.system.grid.total_installed_cost + + def print_output(self): + print("Wind Installed Cost: {}".format(self.wind_installed_cost)) + print("Solar Installed Cost: {}".format(self.solar_installed_cost)) + print("Hybrid Installed Cost: {}".format(self.hybrid_installed_cost)) + print("Wind NPV: {}".format(self.hopp.system.net_present_values.wind)) + print("Solar NPV: {}".format(self.hopp.system.net_present_values.pv)) + print("Hybrid NPV: {}".format(self.hopp.system.net_present_values.hybrid)) + print("Wind + Solar Expected NPV: {}".format(self.wind_plus_solar_npv)) diff --git a/tests/hopp/test_csp.py b/tests/hopp/test_csp.py index a7dd2af8c..3e4f2f14b 100644 --- a/tests/hopp/test_csp.py +++ b/tests/hopp/test_csp.py @@ -2,10 +2,10 @@ import datetime +from hopp.simulation import HoppInterface from hopp.simulation.technologies.dispatch.power_sources.csp_dispatch import CspDispatch from hopp.simulation.technologies.tower_source import TowerPlant, TowerConfig from hopp.simulation.technologies.trough_source import TroughPlant, TroughConfig -from hopp.tools.hopp_interface import HoppInterface from tests.hopp.utils import create_default_site_info diff --git a/tests/hopp/test_custom_financial.py b/tests/hopp/test_custom_financial.py index afc295e9e..208befb99 100644 --- a/tests/hopp/test_custom_financial.py +++ b/tests/hopp/test_custom_financial.py @@ -2,11 +2,8 @@ import json from hopp import ROOT_DIR -from hopp.tools.hopp_interface import HoppInterface -from hopp.simulation.technologies.layout.hybrid_layout import WindBoundaryGridParameters +from hopp.simulation import HoppInterface from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel -from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant, DetailedPVConfig -from hopp.simulation.technologies.grid import Grid from tests.hopp.utils import create_default_site_info, DEFAULT_FIN_CONFIG pvsamv1_defaults_file = ROOT_DIR.parent / "tests" / "hopp" / "pvsamv1_basic_params.json" diff --git a/tests/hopp/test_dispatch.py b/tests/hopp/test_dispatch.py index cc9233248..f9f393448 100644 --- a/tests/hopp/test_dispatch.py +++ b/tests/hopp/test_dispatch.py @@ -4,7 +4,7 @@ from pyomo.opt import TerminationCondition from pyomo.util.check_units import assert_units_consistent -from hopp.tools.hopp_interface import HoppInterface +from hopp.simulation import HoppInterface from hopp.simulation.technologies.wind_source import WindPlant, WindConfig from hopp.simulation.technologies.pv_source import PVPlant, PVConfig from hopp.simulation.technologies.tower_source import TowerPlant, TowerConfig diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index 6ad031c02..888251afe 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -6,13 +6,12 @@ import numpy as np import json -from hopp.tools.hopp_interface import HoppInterface +from hopp.simulation import HoppInterface from hopp.simulation.technologies.sites import SiteInfo -from hopp.simulation.hybrid_simulation import HybridSimulation from hopp.simulation.technologies.detailed_pv_plant import DetailedPVPlant, DetailedPVConfig -from examples.Detailed_PV_Layout.detailed_pv_layout import DetailedPVParameters, DetailedPVLayout -from examples.Detailed_PV_Layout.detailed_pv_config import PVLayoutConfig +# from examples.Detailed_PV_Layout.detailed_pv_layout import DetailedPVParameters, DetailedPVLayout +# from examples.Detailed_PV_Layout.detailed_pv_config import PVLayoutConfig from hopp.simulation.technologies.layout.pv_design_utils import size_electrical_parameters from hopp.simulation.technologies.financial.mhk_cost_model import MHKCostModelInputs from tests.hopp.utils import create_default_site_info, DEFAULT_FIN_CONFIG From c0961502df0a5694e2a2c92cd2a8e89ef346a984 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Mon, 23 Oct 2023 16:15:55 -0700 Subject: [PATCH 40/46] Fix Floris financial issue in WindPlant Fixed a bug where we were accidentally setting the financial model to None when Floris was being used. We really need tests for Floris functionality. --- hopp/simulation/hopp.py | 2 +- hopp/simulation/technologies/wind_source.py | 13 ++---- hopp/tools/hopp_interface.py | 51 --------------------- hopp/utilities/__init__.py | 1 + tests/hopp/test_hybrid.py | 2 +- tests/hopp/test_wave.py | 2 +- 6 files changed, 8 insertions(+), 63 deletions(-) delete mode 100644 hopp/tools/hopp_interface.py create mode 100644 hopp/utilities/__init__.py diff --git a/hopp/simulation/hopp.py b/hopp/simulation/hopp.py index 3eff9bfb6..fb9a302f9 100644 --- a/hopp/simulation/hopp.py +++ b/hopp/simulation/hopp.py @@ -7,7 +7,7 @@ from hopp.simulation.base import BaseClass from hopp.simulation.hybrid_simulation import HybridSimulation, TechnologiesConfig from hopp.simulation.technologies.sites import SiteInfo -from hopp.utilities.utilities import load_yaml +from hopp.utilities import load_yaml @define diff --git a/hopp/simulation/technologies/wind_source.py b/hopp/simulation/technologies/wind_source.py index 1550dc29c..9a9d42b4f 100644 --- a/hopp/simulation/technologies/wind_source.py +++ b/hopp/simulation/technologies/wind_source.py @@ -7,7 +7,7 @@ from hopp.simulation.base import BaseClass from hopp.type_dec import resource_file_converter -from hopp.utilities.utilities import load_yaml +from hopp.utilities import load_yaml from hopp.utilities.validators import gt_zero, contains from hopp.simulation.technologies.wind.floris import Floris from hopp.simulation.technologies.power_source import PowerSource @@ -85,6 +85,7 @@ def __attrs_post_init__(self): else: if self.config.model_input_file is None: system_model = Windpower.default(self.config_name) + financial_model = Singleowner.from_existing(system_model, self.config_name) else: # initialize system using pysam input file input_file_path = resource_file_converter(self.config.model_input_file) @@ -100,19 +101,13 @@ def __attrs_post_init__(self): # turbine power curve (array of kW power outputs) self.wind_turbine_powercurve_powerout = [1] * nTurbs + financial_model = Singleowner.from_existing(system_model, self.config_name) + # Parse user input for financial model if isinstance(self.config.fin_model, str): financial_model = Singleowner.default(self.config.fin_model) elif isinstance(self.config.fin_model, dict): financial_model = CustomFinancialModel(self.config.fin_model) - else: - financial_model = self.config.fin_model - - if financial_model is None: - # default - financial_model = Singleowner.from_existing(system_model, self.config_name) - else: - financial_model = self.import_financial_model(financial_model, system_model, self.config_name) if isinstance(self.config.layout_params, dict): layout_params = WindBoundaryGridParameters(**self.config.layout_params) diff --git a/hopp/tools/hopp_interface.py b/hopp/tools/hopp_interface.py deleted file mode 100644 index fbda11493..000000000 --- a/hopp/tools/hopp_interface.py +++ /dev/null @@ -1,51 +0,0 @@ -from __future__ import annotations -from pathlib import Path -from typing import Union, TYPE_CHECKING - -from hopp.simulation.hopp import Hopp - -# avoid potential circular dep -if TYPE_CHECKING: - from hopp.simulation import HybridSimulation - - -class HoppInterface(): - def __init__(self, configuration: Union[dict, str, Path]): - self.configuration = configuration - - if isinstance(self.configuration, (str, Path)): - self.hopp = Hopp.from_file(self.configuration) - - elif isinstance(self.configuration, dict): - self.hopp = Hopp.from_dict(self.configuration) - - def reinitialize(self): - pass - - def simulate(self, project_life: int = 25, lifetime_sim: bool = False): - self.hopp.simulate(project_life, lifetime_sim) - - @property - def system(self) -> "HybridSimulation": - """Returns the configured simulation instance.""" - return self.hopp.system - - def parse_input(self): - pass - - def parse_output(self): - self.annual_energies = self.hopp.system.annual_energies - self.wind_plus_solar_npv = self.hopp.system.net_present_values.wind + self.hopp.system.net_present_values.pv - self.npvs = self.hopp.system.net_present_values - self.wind_installed_cost = self.hopp.system.wind.total_installed_cost - self.solar_installed_cost = self.hopp.system.pv.total_installed_cost - self.hybrid_installed_cost = self.hopp.system.grid.total_installed_cost - - def print_output(self): - print("Wind Installed Cost: {}".format(self.wind_installed_cost)) - print("Solar Installed Cost: {}".format(self.solar_installed_cost)) - print("Hybrid Installed Cost: {}".format(self.hybrid_installed_cost)) - print("Wind NPV: {}".format(self.hopp.system.net_present_values.wind)) - print("Solar NPV: {}".format(self.hopp.system.net_present_values.pv)) - print("Hybrid NPV: {}".format(self.hopp.system.net_present_values.hybrid)) - print("Wind + Solar Expected NPV: {}".format(self.wind_plus_solar_npv)) diff --git a/hopp/utilities/__init__.py b/hopp/utilities/__init__.py new file mode 100644 index 000000000..bdb1fb062 --- /dev/null +++ b/hopp/utilities/__init__.py @@ -0,0 +1 @@ +from .utilities import load_yaml \ No newline at end of file diff --git a/tests/hopp/test_hybrid.py b/tests/hopp/test_hybrid.py index 888251afe..9a767cca9 100644 --- a/tests/hopp/test_hybrid.py +++ b/tests/hopp/test_hybrid.py @@ -16,7 +16,7 @@ from hopp.simulation.technologies.financial.mhk_cost_model import MHKCostModelInputs from tests.hopp.utils import create_default_site_info, DEFAULT_FIN_CONFIG from hopp import ROOT_DIR -from hopp.utilities.utilities import load_yaml +from hopp.utilities import load_yaml @fixture diff --git a/tests/hopp/test_wave.py b/tests/hopp/test_wave.py index 63bf56efb..2ffb6748b 100644 --- a/tests/hopp/test_wave.py +++ b/tests/hopp/test_wave.py @@ -6,7 +6,7 @@ from hopp.simulation.technologies.mhk_wave_source import MHKWavePlant, MHKConfig from hopp.simulation.technologies.financial.mhk_cost_model import MHKCostModelInputs from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel -from hopp.utilities.utilities import load_yaml +from hopp.utilities import load_yaml # TODO: I'm seeing this copied around in tests, let's refactor to a module default_fin_config = { From 2fbb34ba63ed36318e27ced575f97765397d6630 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Mon, 23 Oct 2023 16:18:30 -0700 Subject: [PATCH 41/46] Update dev environment details --- README.md | 1 - requirements-dev.txt | 20 -------------------- 2 files changed, 21 deletions(-) diff --git a/README.md b/README.md index b7e4e4e03..21a99e0b8 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,6 @@ solar and storage. 4. Install requirements: ``` conda install -c conda-forge coin-or-cbc -y - conda install -c conda-forge shapely -y pip install -r requirements.txt ``` diff --git a/requirements-dev.txt b/requirements-dev.txt index 365655c13..5b709539e 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -1,26 +1,6 @@ -NREL-PySAM==3.0.0 -Pillow -Pyomo>=6.1.2 -cmake -floris -future -global_land_mask -Cython -matplotlib -numpy -pandas -pint -pvmismatch -pysolar pytest pytest-subtests -python-dotenv -pytz -requests responses -scipy -timezonefinder - sphinx sphinx-rtd-theme sphinx-copybutton From 2f4a527f9f0ca6d21fe120087ab579b202cdfe77 Mon Sep 17 00:00:00 2001 From: Cameron Irmas Date: Mon, 23 Oct 2023 16:18:51 -0700 Subject: [PATCH 42/46] WIP update examples --- examples/workshop/01-wind-solar.ipynb | 8 +- examples/workshop/02-wind-solar-api.ipynb | 140 ++-------- examples/workshop/03-wind-solar-battery.ipynb | 150 ++--------- .../workshop/04-load-following-battery.ipynb | 124 +++------ examples/workshop/05-floris-wake-model.ipynb | 245 ++++++------------ .../workshop/inputs/02-wind-solar-api.yaml | 38 +++ .../inputs/03-wind-solar-battery.yaml | 44 ++++ .../inputs/04-load-following-battery.yaml | 23 ++ .../workshop/inputs/05-floris-wake-model.yaml | 48 ++++ 9 files changed, 314 insertions(+), 506 deletions(-) create mode 100644 examples/workshop/inputs/02-wind-solar-api.yaml create mode 100644 examples/workshop/inputs/03-wind-solar-battery.yaml create mode 100644 examples/workshop/inputs/04-load-following-battery.yaml create mode 100644 examples/workshop/inputs/05-floris-wake-model.yaml diff --git a/examples/workshop/01-wind-solar.ipynb b/examples/workshop/01-wind-solar.ipynb index 965fdecb2..f5a617e5c 100644 --- a/examples/workshop/01-wind-solar.ipynb +++ b/examples/workshop/01-wind-solar.ipynb @@ -26,12 +26,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "/Users/cirmas/workspace/HOPP/examples/workshop/log/hybrid_systems_2023-10-20T13.38.08.820836.log\n" + "/Users/cirmas/workspace/HOPP/examples/workshop/log/hybrid_systems_2023-10-23T12.26.42.533329.log\n" ] } ], "source": [ - "from hopp.tools.hopp_interface import HoppInterface" + "from hopp.simulation import HoppInterface" ] }, { @@ -135,9 +135,9 @@ "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" }, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "hopp-dev-refactor", "language": "python", - "name": "python3" + "name": "hopp-dev-refactor" }, "language_info": { "codemirror_mode": { diff --git a/examples/workshop/02-wind-solar-api.ipynb b/examples/workshop/02-wind-solar-api.ipynb index a0bbf715e..1a009d746 100644 --- a/examples/workshop/02-wind-solar-api.ipynb +++ b/examples/workshop/02-wind-solar-api.ipynb @@ -19,22 +19,20 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-09-28T09.41.52.276176.log\n" + "/Users/cirmas/workspace/HOPP/examples/workshop/log/hybrid_systems_2023-10-23T13.52.48.948995.log\n" ] } ], "source": [ "from hopp.utilities.keys import set_nrel_key_dot_env\n", - "from hopp.simulation.hybrid_simulation import HybridSimulation\n", - "from hopp.simulation.technologies.sites import SiteInfo\n", - "from hopp.simulation.technologies.sites import flatirons_site as sample_site" + "from hopp.simulation import HoppInterface" ] }, { @@ -52,7 +50,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -71,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -84,115 +82,23 @@ "set_developer_nrel_gov_key(NREL_API_KEY) " ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Retrieve Resource Data\n", - "Obtain the resource data for your location. Set the `site_input_data` dictionary with the desired location, year, and resources used in hybrid plant. The `SiteInfo` will download the resource data using the API key." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "site_input_data = sample_site\n", - "site_input_data['lat'] = 35.2018863\n", - "site_input_data['lon'] = -101.945027\n", - "site_input_data['year'] = 2012\n", - "\n", - "site = SiteInfo(\n", - " site_input_data,\n", - " solar=True,\n", - " wind=True,\n", - " wave=False\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define System Capacities\n", - "Specify the capacities of the solar, wind, and interconnection components of the hybrid system in megawatts (MW)." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "solar_size_mw = 50\n", - "wind_size_mw = 50\n", - "interconnection_size_mw = 50" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define Technologies Configuration\n", - "Configure the characteristics of each technology in the system, including PV (solar), wind, and grid interconnection." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "technologies = {\n", - " 'pv': {\n", - " 'system_capacity_kw': solar_size_mw * 1000\n", - " },\n", - " 'wind': {\n", - " 'num_turbines': 10,\n", - " 'turbine_rating_kw': 5000\n", - " },\n", - " 'grid': {\n", - " 'interconnect_kw': interconnection_size_mw * 1000\n", - " }\n", - "}" - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Create the Hybrid Simulation Model\n", - "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information." + "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information. This model is similar to example 01, with some notable differences:\n", + "- The `site` information does not specify resource filepaths. This means that the API will be used to retrieve resource information for the site\n", + "- We specify other configuration options, such as `ppa_price` and `dc_degradation`. See the documentation for full descriptions of the available parameters for each technology" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ - "hybrid_plant = HybridSimulation(technologies, site)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Configure Simulation Parameters\n", - "Modify various parameters for the simulation, such as the system capacity, power purchase agreement (PPA) price, and DC degradation for the PV system." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "hybrid_plant.pv.system_capacity_kw = solar_size_mw * 1000\n", - "hybrid_plant.wind.system_capacity_by_num_turbines(wind_size_mw * 1000)\n", - "hybrid_plant.ppa_price = 0.1\n", - "hybrid_plant.pv.dc_degradation = [0] * 25" + "hi = HoppInterface(\"./inputs/02-wind-solar-api.yaml\")" ] }, { @@ -205,11 +111,11 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ - "hybrid_plant.simulate(25)" + "hi.simulate(25)" ] }, { @@ -222,7 +128,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -232,16 +138,17 @@ "Wind Installed Cost: 72700000.0\n", "Solar Installed Cost: 48000000.0\n", "Hybrid Installed Cost: 120700000.0\n", - "Wind NPV: 54696750.69692759\n", - "Solar NPV: 59878156.04987331\n", - "Hybrid NPV: 104313009.79654434\n", - "{\"pv\": 104053614.17593749, \"wind\": 156936144.3525466, \"hybrid\": 250319641.2168857}\n", - "{\"pv\": 23.75653291688071, \"wind\": 35.83016994350379, \"hybrid\": 29.793351430192253}\n", - "{\"pv\": 59878156.04987331, \"wind\": 54696750.69692759, \"hybrid\": 104313009.79654434}\n" + "Wind NPV: -47742400.774270594\n", + "Solar NPV: -26412928.585828584\n", + "Hybrid NPV: -76621678.51184756\n", + "{\"pv\": 104053614.17593749, \"wind\": 162478037.0463255, \"hybrid\": 254922552.1307209}\n", + "{\"pv\": 23.75653291688071, \"wind\": 37.09544224801952, \"hybrid\": 30.425987582450112}\n", + "{\"pv\": -26412928.585828584, \"wind\": -47742400.774270594, \"hybrid\": -76621678.51184756}\n" ] } ], "source": [ + "hybrid_plant = hi.system\n", "annual_energies = hybrid_plant.annual_energies\n", "npvs = hybrid_plant.net_present_values\n", "cf = hybrid_plant.capacity_factors\n", @@ -269,9 +176,9 @@ "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" }, "kernelspec": { - "display_name": "Python 3.8.17 ('storage')", + "display_name": "hopp-dev-refactor", "language": "python", - "name": "python3" + "name": "hopp-dev-refactor" }, "language_info": { "codemirror_mode": { @@ -284,8 +191,7 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.17" - }, - "orig_nbformat": 4 + } }, "nbformat": 4, "nbformat_minor": 2 diff --git a/examples/workshop/03-wind-solar-battery.ipynb b/examples/workshop/03-wind-solar-battery.ipynb index 234726a94..e0bbe7e2f 100644 --- a/examples/workshop/03-wind-solar-battery.ipynb +++ b/examples/workshop/03-wind-solar-battery.ipynb @@ -28,12 +28,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-09-28T09.44.26.745938.log\n" + "/Users/cirmas/workspace/HOPP/examples/workshop/log/hybrid_systems_2023-10-23T14.55.01.340420.log\n" ] } ], "source": [ - "from hopp.simulation.hybrid_simulation import HybridSimulation\n", + "from hopp.simulation import HoppInterface\n", "from hopp.simulation.technologies.dispatch.plot_tools import (\n", " plot_battery_output, plot_battery_dispatch_error, plot_generation_profile\n", ")" @@ -47,122 +47,21 @@ "Set wind and solar resource data at plant location and load pricing data. In this example, we use the Flatirons site as an example location." ] }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from hopp import ROOT_DIR\n", - "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", - "\n", - "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", - "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", - "DEFAULT_PRICE_FILE = ROOT_DIR.parent / \"resource_files\" / \"grid\" / \"pricing-data-2015-IronMtn-002_factors.csv\"\n", - "\n", - "site = SiteInfo(\n", - " flatirons_site,\n", - " solar_resource_file=DEFAULT_SOLAR_RESOURCE_FILE,\n", - " wind_resource_file=DEFAULT_WIND_RESOURCE_FILE,\n", - " grid_resource_file=DEFAULT_PRICE_FILE,\n", - " solar=True,\n", - " wind=True,\n", - " wave=False\n", - " )" - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Define System Capacities\n", - "Define the capacities of the solar, wind, and battery components of the hybrid system in megawatts (MW)." + "### Create the Simulation Model\n", + "Instantiate the `HoppInterface` class by providing a YAML configuration." ] }, { "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "solar_size_mw = 50\n", - "wind_size_mw = 50\n", - "battery_capacity_mw = 20\n", - "interconnection_size_mw = 50" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Configure Technology Parameters\n", - "Configure the characteristics of each technology in the system, including PV (solar), wind, battery, and grid interconnection." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "technologies = {\n", - " 'pv': {\n", - " 'system_capacity_kw': solar_size_mw * 1000,\n", - " },\n", - " 'wind': {\n", - " 'num_turbines': 10,\n", - " 'turbine_rating_kw': int(wind_size_mw * 1000 / 10)\n", - " },\n", - " 'battery': {\n", - " 'system_capacity_kwh': battery_capacity_mw * 1000,\n", - " 'system_capacity_kw': battery_capacity_mw * 4 * 1000\n", - " },\n", - " 'grid': {\n", - " 'interconnect_kw': interconnection_size_mw * 1000\n", - " }\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Create the Hybrid Simulation Model\n", - "Instantiate the `HybridSimulation` class by providing the technology configuration and site information." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "hybrid_plant = HybridSimulation(technologies, site)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Configure Simulation Parameters\n", - "Set various parameters for the simulation, including degradation, wake loss, PPA price." - ] - }, - { - "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ - "hybrid_plant.pv.dc_degradation = (0,) # Year-over-year degradation\n", - "hybrid_plant.wind.wake_model = 3 # Constant wake loss, layout-independent\n", - "hybrid_plant.wind.value(\"wake_int_loss\", 1) # Percent wake loss\n", - "\n", - "hybrid_plant.pv.system_capacity_kw = solar_size_mw * 1000\n", - "hybrid_plant.wind.system_capacity_by_num_turbines(wind_size_mw * 1000)\n", - "\n", - "# Prices_file contains unitless dispatch factors, so add $/kWh here\n", - "hybrid_plant.ppa_price = 0.04" + "hi = HoppInterface(\"./inputs/03-wind-solar-battery.yaml\")" ] }, { @@ -175,11 +74,11 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ - "hybrid_plant.simulate(project_life=20)" + "hi.simulate(project_life=20)" ] }, { @@ -192,24 +91,26 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Output after losses over gross output: 0.8261022547138311\n", + "Output after losses over gross output: 0.7996592849806096\n", "Annual Energies:\n", - "{\"pv\": 104053614.17593749, \"wind\": 162107774.07111272, \"battery\": -838364.121782637, \"hybrid\": 256596089.9209246}\n", + "{\"pv\": 104053614.17593749, \"wind\": 162478037.0463255, \"battery\": -844177.4907156784, \"hybrid\": 256923989.00261778}\n", "Net Present Values:\n", - "{\"pv\": -6509143.037339628, \"wind\": -12314843.169138618, \"battery\": -32291532.734384965, \"hybrid\": -54454562.42445512}\n", + "{\"pv\": -6509143.037339628, \"wind\": -12154086.966226012, \"battery\": -32294138.455373134, \"hybrid\": -54334843.799049035}\n", "Total Revenues:\n", - "{\"pv\": [0.0, 4032912.4476811443, 4073241.5721579557, 4113973.9878795356, 4155113.727758331, 4196664.865035914, 4238631.513686274, 4281017.828823136, 4323828.007111367, 4367066.287182481, 4410736.950054306, 4454844.3195548495, 4499392.762750397, 4544386.690377901, 4589830.55728168, 4635728.862854498, 4682086.151483042, 4728907.012997874, 4776196.083127852, 4823958.0439591305, 4872197.624398721], \"wind\": [0.0, 6375411.079084284, 6439165.189875126, 6503556.841773877, 6568592.410191617, 6634278.334293532, 6700621.117636468, 6767627.328812833, 6835303.60210096, 6903656.638121971, 6972693.204503189, 7042420.136548222, 7112844.337913704, 7183972.781292841, 7255812.50910577, 7328370.634196828, 7401654.340538796, 7475670.883944185, 7550427.592783625, 7625931.868711462, 7702191.187398576], \"battery\": [0.0, 486082.724683247, 490943.5519300794, 495852.9874493803, 500811.5173238741, 505819.6324971128, 510877.828822084, 515986.6071103048, 521146.4731814078, 526357.9379132219, 531621.517292354, 536937.7324652777, 542307.1097899305, 547730.1808878297, 553207.4826967081, 558739.5575236751, 564326.9530989119, 569970.2226299011, 575669.9248562, 581426.6241047621, 587240.8903458096], \"hybrid\": [0.0, 10314302.884732984, 10417445.913580313, 10521620.372716116, 10626836.57644328, 10733104.942207709, 10840435.991629789, 10948840.351546086, 11058328.755061546, 11168912.042612161, 11280601.163038282, 11393407.174668666, 11507341.246415352, 11622414.658879505, 11738638.805468302, 11856025.193522986, 11974585.445458215, 12094331.2999128, 12215274.612911925, 12337427.359041044, 12460801.632631455]}\n" + "{\"pv\": [0.0, 4032912.4476811443, 4073241.5721579557, 4113973.9878795356, 4155113.727758331, 4196664.865035914, 4238631.513686274, 4281017.828823136, 4323828.007111367, 4367066.287182481, 4410736.950054306, 4454844.3195548495, 4499392.762750397, 4544386.690377901, 4589830.55728168, 4635728.862854498, 4682086.151483042, 4728907.012997874, 4776196.083127852, 4823958.0439591305, 4872197.624398721], \"wind\": [0.0, 6392419.0883130925, 6456343.279196222, 6520906.7119881855, 6586115.779108068, 6651976.936899147, 6718496.70626814, 6785681.673330821, 6853538.490064128, 6922073.874964771, 6991294.613714417, 7061207.559851563, 7131819.635450078, 7203137.831804578, 7275169.210122624, 7347920.9022238515, 7421400.111246089, 7495614.1123585515, 7570570.253482136, 7646275.956016958, 7722738.7155771265], \"battery\": [0.0, 486214.89291896287, 491077.04184815247, 495987.81226663396, 500947.6903893004, 505957.16729319334, 511016.73896612535, 516126.90635578654, 521288.1754193444, 526501.0571735379, 531766.0677452731, 537083.7284227259, 542454.5657069533, 547879.1113640227, 553357.902477663, 558891.4815024397, 564480.3963174641, 570125.2002806388, 575826.452283445, 581584.7168062796, 587400.5639743423], \"hybrid\": [0.0, 10327891.983975966, 10431170.903815724, 10535482.612853881, 10640837.438982422, 10747245.813372245, 10854718.271505969, 10963265.454221027, 11072898.108763237, 11183627.08985087, 11295463.360749377, 11408417.994356873, 11522502.174300442, 11637727.196043445, 11754104.46800388, 11871645.51268392, 11990361.96781076, 12110265.587488867, 12231368.243363755, 12353681.925797394, 12477218.745055366]}\n" ] } ], "source": [ + "hybrid_plant = hi.system\n", + "\n", "print(\"Output after losses over gross output:\",\n", " hybrid_plant.wind.value(\"annual_energy\") / hybrid_plant.wind.value(\"annual_gross_energy\"))\n", "\n", @@ -238,12 +139,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -258,12 +159,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -278,12 +179,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -302,9 +203,9 @@ "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" }, "kernelspec": { - "display_name": "Python 3.8.17 ('storage')", + "display_name": "hopp-dev-refactor", "language": "python", - "name": "python3" + "name": "hopp-dev-refactor" }, "language_info": { "codemirror_mode": { @@ -316,9 +217,8 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.17" - }, - "orig_nbformat": 4 + "version": "3.8.18" + } }, "nbformat": 4, "nbformat_minor": 2 diff --git a/examples/workshop/04-load-following-battery.ipynb b/examples/workshop/04-load-following-battery.ipynb index bc971b2e7..e44a111ea 100644 --- a/examples/workshop/04-load-following-battery.ipynb +++ b/examples/workshop/04-load-following-battery.ipynb @@ -26,15 +26,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-10-04T10.42.25.217134.log\n" + "/Users/cirmas/workspace/HOPP/examples/workshop/log/hybrid_systems_2023-10-23T15.27.53.464813.log\n" ] } ], "source": [ - "from hopp.simulation.hybrid_simulation import HybridSimulation\n", + "import numpy as np\n", + "\n", + "from hopp import ROOT_DIR\n", + "from hopp.simulation import HoppInterface\n", + "from hopp.utilities import load_yaml\n", + "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", "from hopp.simulation.technologies.dispatch.plot_tools import (\n", " plot_battery_output, plot_battery_dispatch_error, plot_generation_profile\n", - ")" + ")\n" ] }, { @@ -53,10 +58,6 @@ "metadata": {}, "outputs": [], "source": [ - "import numpy as np\n", - "from hopp import ROOT_DIR\n", - "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", - "\n", "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", "DEFAULT_PRICE_FILE = ROOT_DIR.parent / \"resource_files\" / \"grid\" / \"pricing-data-2015-IronMtn-002_factors.csv\"\n", @@ -81,8 +82,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Define System Capacities\n", - "Define the capacities of the solar, wind, and battery components of the hybrid system in megawatts (MW)." + "`HOPPInterface` is capable of handling dictionary input as well as class instances. Here we demonstrate this by loading the YAML file as a dict, modifying it to include our site information, then passing it as an argument to `HoppInterface`. This is useful for programmatic configuration of simulation configs." ] }, { @@ -91,84 +91,26 @@ "metadata": {}, "outputs": [], "source": [ - "solar_size_mw = 50\n", - "wind_size_mw = 50\n", - "battery_capacity_mw = 20\n", - "interconnection_size_mw = 100" + "hopp_config = load_yaml(\"./inputs/04-load-following-battery.yaml\")\n", + "# set SiteInfo instance\n", + "hopp_config[\"site\"] = site" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Configure Technology Parameters\n", - "Configure the characteristics of each technology in the system, including PV (solar), wind, battery, and grid interconnection." + "### Create the Simulation Model\n", + "Instantiate the `HoppInterface` class by providing our modified configuration dict." ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ - "technologies = {\n", - " 'pv': {\n", - " 'system_capacity_kw': solar_size_mw * 1000,\n", - " },\n", - " 'wind': {\n", - " 'num_turbines': 10,\n", - " 'turbine_rating_kw': int(wind_size_mw * 1000 / 10)\n", - " },\n", - " 'battery': {\n", - " 'system_capacity_kwh': battery_capacity_mw * 1000,\n", - " 'system_capacity_kw': battery_capacity_mw * 4 * 1000,\n", - " 'minimum_SOC': 20.0,\n", - " 'maximum_SOC': 100.0,\n", - " 'initial_SOC': 90.0\n", - " },\n", - " 'grid': {\n", - " 'interconnect_kw': interconnection_size_mw * 1000\n", - " }\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Specify the Battery Dispatch\n", - "Create a dictionary that will be used to instantiate the `HybridSimulation` class and configure the desired battery dispatch model." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "dispatch_options = {'battery_dispatch': 'simple',\n", - " 'solver': 'cbc',\n", - " 'n_look_ahead_periods': 48, #hrs\n", - " 'grid_charging': True,\n", - " 'pv_charging_only': False,\n", - " 'include_lifecycle_count': False}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Create the Hybrid Simulation Model\n", - "Instantiate the `HybridSimulation` class by providing the technology configuration and site information." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "hybrid_plant = HybridSimulation(technologies, site, dispatch_options)" + "hi = HoppInterface(hopp_config)" ] }, { @@ -181,11 +123,11 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ - "hybrid_plant.simulate(project_life=20)" + "hi.simulate(project_life=20)" ] }, { @@ -198,24 +140,26 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Output after losses over gross output: 0.7997475965517965\n", + "Output after losses over gross output: 0.7996592849806018\n", "Annual Energies:\n", - "{\"pv\": 104053614.17593749, \"wind\": 156936144.3525466, \"battery\": -889892.7145233898, \"hybrid\": 194899990.98027584}\n", + "{\"pv\": 104053614.17593749, \"wind\": 162478037.04632393, \"battery\": -889947.5845921439, \"hybrid\": 197981480.22635943}\n", "Net Present Values:\n", - "{\"pv\": -34633452.62880054, \"wind\": -57358955.19811408, \"battery\": -33564722.98258493, \"hybrid\": -130627288.56236602}\n", + "{\"pv\": -34633452.62880054, \"wind\": -56732881.02892732, \"battery\": -33564723.353900954, \"hybrid\": -130197805.97581556}\n", "Total Revenues:\n", - "{\"pv\": [0.0, 100822.81119202862, 101831.0393039489, 102849.3496969884, 103877.8431939583, 104916.62162589785, 105965.78784215686, 107025.44572057843, 108095.7001777842, 109176.65717956203, 110268.42375135767, 111371.10798887124, 112484.81906875994, 113609.66725944755, 114745.76393204203, 115893.22157136246, 117052.15378707607, 118222.67532494686, 119404.90207819629, 120598.95109897826, 121804.94060996805], \"wind\": [0.0, 154112.71406684216, 155653.8412075106, 157210.37961958573, 158782.48341578158, 160370.30824993938, 161974.01133243882, 163593.7514457632, 165229.6889602208, 166881.985849823, 168550.80570832125, 170236.31376540445, 171938.67690305848, 173658.0636720891, 175394.64430880998, 177148.5907518981, 178920.07665941704, 180709.27742601128, 182516.37020027134, 184341.53390227404, 186184.9492412968], \"battery\": [0.0, 16735.56189240741, 16902.917511331485, 17071.9466864448, 17242.66615330925, 17415.09281484234, 17589.24374299077, 17765.136180420675, 17942.78754222488, 18122.215417647127, 18303.4375718236, 18486.471947541835, 18671.336667017255, 18858.05003368743, 19046.6305340243, 19237.096839364545, 19429.46780775819, 19623.762485835774, 19820.000110694127, 20018.20011180107, 20218.38211291908], \"hybrid\": [0.0, 197718.52045873844, 199695.70566332585, 201692.6627199591, 203709.5893471587, 205746.68524063026, 207804.15209303662, 209882.19361396699, 211981.01555010662, 214100.82570560768, 216241.83396266378, 218404.2523022904, 220588.29482531332, 222794.17777356648, 225022.11955130214, 227272.34074681517, 229545.0641542833, 231840.51479582617, 234158.91994378436, 236500.50914322224, 238865.51423465446]}\n" + "{\"pv\": [0.0, 100822.81119202862, 101831.0393039489, 102849.3496969884, 103877.8431939583, 104916.62162589785, 105965.78784215686, 107025.44572057843, 108095.7001777842, 109176.65717956203, 110268.42375135767, 111371.10798887124, 112484.81906875994, 113609.66725944755, 114745.76393204203, 115893.22157136246, 117052.15378707607, 118222.67532494686, 119404.90207819629, 120598.95109897826, 121804.94060996805], \"wind\": [0.0, 159810.47720782636, 161408.58197990461, 163022.6677997037, 164652.89447770073, 166299.4234224777, 167962.41765670254, 169642.04183326953, 171338.4622516022, 173051.84687411823, 174782.3653428594, 176530.18899628802, 178295.4908862509, 180078.44579511342, 181879.23025306454, 183698.0225555952, 185535.00278115112, 187390.3528089627, 189264.25633705227, 191156.8989004228, 193068.46788942703], \"battery\": [0.0, 16735.456970062558, 16902.811539763185, 17071.839655160817, 17242.558051712425, 17414.98363222955, 17589.13346855185, 17765.024803237364, 17942.675051269736, 18122.10180178243, 18303.322819800258, 18486.356047998263, 18671.219608478244, 18857.931804563028, 19046.51112260866, 19236.976233834746, 19429.34599617309, 19623.639456134828, 19819.875850696168, 20018.074609203133, 20218.25535529516], \"hybrid\": [0.0, 200752.62768553235, 202760.1539623877, 204787.7555020116, 206835.63305703172, 208903.989387602, 210993.02928147808, 213102.95957429285, 215233.98917003575, 217386.3290617361, 219560.19235235348, 221755.794275877, 223973.35221863576, 226213.08574082216, 228475.21659823036, 230759.96876421268, 233067.56845185478, 235398.2441363734, 237752.22657773705, 240129.74884351445, 242531.0463319496]}\n" ] } ], "source": [ + "hybrid_plant = hi.system\n", + "\n", "print(\"Output after losses over gross output:\",\n", " hybrid_plant.wind.value(\"annual_energy\") / hybrid_plant.wind.value(\"annual_gross_energy\"))\n", "\n", @@ -244,12 +188,12 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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DwGXww92vH7rnnoU77ijQeVUqFYGGnNPeSqEB7Jx+H+ctdjIdLvx0GsoG6qUCXQghhCjGKlSoAMCFCxeuOTa3rgBhYWHe10lJSXz77bdUr1491z7sWRXgVzIajcycOTPbfGHQoEE89dRTORL7lSvnXEBRpVIxcuRIPv30U3755ZccSXSAWbNm5Yj9iy++wOVy8fzzz3sT6ABBQUG88sorDBgwIMd58tO+fftsCXSAoUOHen9BkZVE//7777FYLDz33HPeBDqAVqvl//7v/2jTps11XVeUDLk9HWo5dIRGzwwj6q/LC4Vm1KlHyqDHudirNw5/I06LDafLDXiKWa58KtTkr8No0LLk8ZZUCQ8k0uSX/5pHxYwk0YUQQgghRIFd94Kf18HpcuN0ODHoADwVW4qfP5q0NGzRVbnw6FAS73+YJk2qERJw/ZVruVGr1ZQL9rv2QCGEEEKUGA888AATJkxg5MiRrFu3jnvvvZeYmBiqVauWbdzOnTtRFIXY2NgCtySpVatWjur0rJYrFy9ezLbdbrfzzjvv8OWXX7J//34sFku2fuynT5/OcX4/Pz8aNmyYY/sff/wBeHrDXy23RPy1NGvWLMe2ihUrAmS7j/yu26pVq2xV/aJkunp+H6BTe58OrWBQoeg883JtVAVCzp/BpdFyptN9ZD7xFBkt23j7nDscLrRqFVrN5V8w5fdUaEkj/6cLIYQQQogCufqRTq1aRVignuhwIyb/m+yFef48/h9+zF3vf0DSiP9wadAwAC4+2Ad7xUpYYjqR6VLA5sw2MRdCCCHE7SUr8Vy2bNk8x1SpUoXt27czefJkVq9ezddffw1AnTp1mDp1Kr179wbAbDYDEBUVVeDrBwcH57pdq9XicrmybXv44YdZsWIFtWrVom/fvkRERKDT6bh48SJz587FZrPlOE9ERESuCca0f5/Ku7IKPUtuFfM3ch9ZCfEr7yO/66rVasrk0k5PFG9XJs3T7S7OX8ok1erwzu/9dWqUdetosexzjH/t4cDm3aDV4u9v4Pfpb3PYFIkqsgJ1o4IJuOL/1dR0O5Ehfhj1mmzXy+up0JKm5N+BEEIIIYQocvku+JnppEGU6foT6YoCv/4K774LX3+NwW4HIHj5N94kutsYiCX2HgBSL2XkOjEXQgghxO1jw4YNALRo0SLfcQ0aNGDp0qU4HA5+//13fvzxR9566y369u1LhQoVaNu2rXfB0FOnThV6nDt27GDFihV06dKFVatWZeuLvn37dubOnZvrcXlV6GYlvc+dO5ejB/nZs2cLKer8r3s1t9vNhQsXruuXEMK3riyKSct0cDIlA61GRc1yQZRTMgn+8gvCFn5C0NFD3mOMv23F2qY9KpUKXWws6rOXOJeWSeVMJwaNBofLTWq6HaNBS+UwY4msMi8IKeMRQgghhBD5unrBTz+dBrVKhZ9OQ6TJH6vNyfEUa7bHk69p4UJo3hzuvBMWLfIsENq8OekfzuPA/K85Y84g0+HC5VbIdLg4Y84o9RNzIYQQQuTv4MGDfP311xgMBnr16lWgY3Q6Ha1bt2bKlCm89dZbKIrCypUrAWjevDlqtZq4uDgcDkehxnr48GEAunbtmi2BDrB58+brPl/jxo0BiI+Pz7Fv69atNxDhzV/3t99+w+l0Ftm1ReHKKopJMmcSoPckvxUUgpNOEPXSGOq1rE/0lAkEHT2E3T+AxIce48DPngR6lkCDluiwAMoEGrC53Fyw2Dw/I4T43VhRTQkiSXQhhBBCCJGv3Bb8VBSFdLuTS5kO/LQaLqTZsNpd+ZzlKkuXwq5dYDDAwIGeivQdOwh4Yhj1qpenvMkPq815W03MhRBCCJG3+Ph4unTpgs1mY/z48flWP//+++/eNiRXyqrY9vPzrIdSrlw5HnroIQ4fPsyUKVNyjD937twNJ4mzqsW3bNmSbfuff/7J66+/ft3n69evH2q1mjfeeCPboqpWq5XXXnvthmIsiB49ehAYGMgnn3zi/cUAgNPpZOLEiUV2XVG4ri6KUYBLGU7CAw2Uc2ZQ67vFaNKtZNaszalps/h+5a/88MTLXKxWK8e57C43zaqEcFeNMjSvEkrzqmE0qFD65+nSzkUIIYQQQuTL6XLjdCvotZ76C4vNSZI5A3O6A6eioMLTmaV6ucCc/Q7dbvjpJ3jvPU/blqzHj198Ee66C4YNg6t6aZamBYiEEEIIcZm/vz/79u3zvs7NoUOHmDx5MuBZmPPcuXP89ttv7N27F41GwyuvvMKkSZPyvc7nn3/Ohx9+SPv27alevTrBwcH89ddfrF69mrCwMIYMGeId+95777Fv3z5ee+01Vq9eTceOHVEUhYMHD7J27VrOnj3rbftyPVq2bEnLli35+uuvOXPmDK1bt+b48eP88MMPdO3alaVLl17X+WrXrs348eOZPn06DRs2pE+fPmi1Wr799lsaNmzIvn37UKsLv1Y2JCSEN998kyeeeIJmzZrRr18/TCYTq1evxmAwUKFChSK5rrh+Vy8QeuX8OasoJuJSMhGffI4jI5O9A55Dp1FzsW4j/ho4guPN2hLarTMBeh0VMhycOZ7C6YsZVAwNQKdRZ2vbEh0eSJBf6U6aX02S6EIIIYQQIl9ajRqtWoXd6UmmHz5nId3uIthfi06jxmpzct5i4+BZCyZ/vacKJTkZPv0U3n8fjhzxnKhhQ8iqvGrf3vOVh9KyAJEQQgghLlOr1dSvXz/fMVdWhfv7+xMSEkKdOnWYOHEigwYNonr16te8Tv/+/cnMzCQ+Pp7ffvsNm81GxYoVefrpp3nxxRepXLmyd2yZMmXYvn07s2fP5ptvvuGdd97Bz8+PqlWrMn78eIxG4w3dq0ajYeXKlYwfP56ffvqJHTt2ULNmTWbPns1999133Ul0gNdee42KFSvy9ttv88EHHxAREUG/fv0YNWoUK1asyHPR05v1+OOPExoayvTp01mwYAEmk4nu3bszc+ZMoqOjC/Q9EUXryl7nWQuEhgXqiQ43YvLTomzYQN05bxGx7kdUTicuP38Cug/GYQjDoNXw17MTuJhhJ9jtOZ9eq6Za2UDKBOqx2pzec0aG+FE5zFjqq85zo1Kuq3mlKK7S0tIwmUyYzeYi+9AUQgghxO1JURT2njJz5mIG6XYX5y/ZKRtk8O6/YMmkTJCBAJ2G6sf3U/2bz1B9+SVkZnoGhITAkCEwYgTUqOGbmyhmZO5Wusn3VwghxK30yy+/cM899zB27Fhmzpx5y6576NAhatasSZ8+ffjqq69u2XVFdlm9zq02J6EBevRaNXanm7TzKVT58TuqfL0AzV9/ecdbW9zJhUHD2N08lnOZUDbIgM3pItPuom5UMAE6LWfMGUSG+FE/Mph0h7tUPx1a0HmblPcIIYQQQoh8qVQqosONnEuz8c+FNMoGGnC5FZxuN5cyHfjrtZQP9kefmU6VPt1RWS2eA5s2hZEjoX9/CAjw7U0IIYQQwufsdjvTp08H4KWXXkKv11/jCHGl8+fPExYWlm2h0osXLzJhwgQAevbsWSTXTU1NJSAgAIPhchFFRkYGo0ePLtLrimu7utd5Fj+dhkrfLKD8bE+/fCUggJRevTnQ6zGCWjUHoJzNieWchfOXbDhcLsqb/FABZ8wZGA1aKocZUavVBBqkXQ9IEl0IIYQQQhSAyV9HrfJBHEm24HS5uZhhx3T2NK22/Yz16WcJNGhx6YI49fAjRGamoR/1LLRuDaWsUkUIIYQQN87hcHhbtbz44ouSRL9OixcvZvbs2XTs2JEKFSpw5swZfvrpJ86dO8fgwYO58847i+S6GzduZNiwYXTu3JnKlStz4cIF1q9fz9GjR+nYsSN9+/YtkuuKa8vqdR6qVxP84wqc4WVIb+n5/yC132ME/7CMUw89QuSop9AGm1BOmTljziA0QI+/TkPFUH8OnrsEKhUajZp0m+u2btmSH0miCyGEEEKIAgkz6qkRHkD49s1UXDKf0Li1qNxuDt/VhvQWrXG43BwZN4XwauHopZ+5EEIIIUShatOmDc2aNeOXX34hJSUFjUZD3bp1mThxIiNGjCiy69avX5977rmH+Ph4li9fDkCNGjWYNm0aL7zwgiws6kOu02eo+P57VF76OfrTp7jUrgNHlywHwFmuPAfXbuWC1U7ZoGBC/HU0iDLl6J3euloYZQL9CNBrSm3LlsIgP90IIYQQQohru3gR44IFtHn7XQz/HPJuttwVg6L1TClT0+1Ehvhh1GvyOosQQgghhLhBLVu25Pvvv7/l161ZsyZffvnlLb/u7UxRFKx2V+69yBUFtm2Dd98l+JtvMDkcADjDwslodAe43fDvLzYc/ybKtRrPe5O/joZRprzPLfIkSXQhhBBCCJG/P/+Eli1RpadjAJzGQE716EvakOG4atXB4XKTekXvRJmECyGEEEIIcWPMGY4c1eJhgXqiw/9tsTJ0KCxYAIAKsDZtzj+9B6Lq3QfFzy/buXIrclGpVATKU6PXTf7EhBBCCCFKoXyrV67FbocDB6BhQ8/7unWhXDkwGmHkSKwP9cVsU3km9hYbWrVKeicKIYQQQghxk8wZDvadMmO1OQkN0KPXqlElJnLeGMKlTCcNokyYOnSAL7+E/v1h5Eic9RqRlnWMxoVOo/YUuaTbpcilEEkSXQghhBCilLlm9UpeTp6EDz+Ejz/2PCZ6/DgYDJ7HQePjoXx5UKkwAQ1vJkkvhBBCCCGEyEZRFI4lW7HanEQG6glav5bwhfMI2riO05NfZ9/DgzmeYqVBnz6ounWD8HAATJBrr3MpcilckkQXQgghhChFcqtesTvdJJkzL1evXDmRVhTYsAHefReWLweXy7M9MhISE6FBg8vvryCPgQohhBBCCFF4rHYXl06coe7yLyn3xQL0J44DoKhUGI78Q2iAnuRLdqxlAgn8N4GeRXqdFz35yUcIIYQQopTIVr1i8vdu99NpiDT5c8ac4aleqWDyTKg3boQRI+Cvvy6fJCYGRo6Enj1BJ1UrQgghhCg8fn5+/Pbbb97XQoh/KQq6J5+g9RdL0NhtADhDQknt+yjJjw3DEV0FnVvB6VZwuty5nkKKXIqW/MkKIYQQQpQSVruLFIud0AB9rvtDA/SkpFg91SsGLZQp40mgG40wcKAnoZ5VeS7EVTQazbUHXcOkSZN49dVXCyEaIYQQJZFGo6FFixa+DkOI4sHhuFy0olKhuZSGxm7D2qAxqYMf52L3h1D8LxfGOFxutGoVWo3aRwHf3iSJLoQQQghRSjhdbpxuBb32qom1w0HwmlVUXfgxl8pG4vxysWd7/frw9dfQpQsEB9/6gEWJoigK0dHRVKlS5YaO3bRpU+EHJYQQQghR0hw5Au+/D/Pne9YdqlULAM3kSSQOfoojVesTGRKQ47DUdDuRIX4Y9Tdf2CCunyTRhRBCCCFKCa1GjVatwu5046fToD2bRNgXCwlbtADd2TMA+Pv7k5Fuhaxq9d69fRixKGmGDBlyw5XkarVUTQkhxO3Obrczd+5cAEaNGoVen/vTc0KUJIqiXLsXudsNa9Z41iFavdqzLhHAokUwdSoAqoYNiahRh3OnzJwxZxAaoEenUeNwuUlNt2M0aKkcZpQ+5z4iSXQhhBBCiFLCqNcQFqgnfcs2Ki2Zh+nHH1A5nQA4ypTl+EOPYB82nDrhIb4NVAghhBC3JYfDwdixYwEYMWKEJNFFiWfOcHAs2UqKxY7TraBVqwgL1BMdbsTkr4P0dE/V+fvvw+HDlw/s3NmzDlHXrtnOZ/LX0SDKlOOckSF+VA7795zCJySJLoQQQghRSqhUKqLDjaTu2k7Iim8BsDRvxdlHh/FPTBcCAgNoEGWS6hVxQzIyMtBqb/zHh5s9XgghhBCiOLmYbmfn0VQuZToINxooE6jD4VJIMmdyKdNJgygTJpUKXnsNUlPBZIIhQ+Dpp70tXHJj8tfRMMp07ep2cUvJLFYIIYQQoiTbvx/eew86doSePTH561A9+xTJp49x5KGBXKxdH61aRfkgvVSviJtiMBh8erwQQgghRHFhTrezfv9ZjlxIx+Svw5zuIFTrpl78WmpuieO3aXM5nmKlQQUTqilTwM8PBgwAo7FA51epVAQaJG1bnMh3QwghhBCipHE6YcUKT0/Fdes823bvhp49AQiuFIny+XwMUr0iCtn8+fPp2LEj0dHRvg7lmhYtWsTmzZv5/fff2bt3L3a7nfnz5zN48OBcx6elpTF58mSWLVtGUlISkZGR9O7dm0mTJhEYGHhrgxdCCCFEsWXOcLDjWCpHLqRTNtBAmdSzVPnmc6p+/wX+F1MAqPxQf5Kat8VqdxH47LM+jlgUBkmiCyGEEEKUFOfOwccfw4cfwokTnm1qNXTr5umpeAWpXhFFYdiwYZ62QdHRxMbGer+ioqJ8HVoOr7zyCseOHaNMmTJERkZy7NixPMdarVZiYmJISEigc+fO9O/fn927dzN79mw2btzIpk2b8PPzu4XRCyGEEMLXclswFOBYspVLVhv19v1K4x8WE7n5F1RuNwCWsuU5/vCjuOrWx+lWcLrcvrwFUYjkJyshhBBCiJKif39Yv97zukwZGD4cnnwSqlTxaVji9vHcc8+xYcMG9u7dy/z581mwYAEA1atXJzY2lo4dO9KhQwfKlSvn20CBefPmUbNmTaKjo5kxYwYTJkzIc+ysWbNISEhg3LhxzJgxw7t9/PjxzJw5kzlz5uR7vBBCCCFKl7wWDC0TaCDFYqfqwQSaPD/IO/5ci7Yc6TOIo206keFWUS0wEK2ioNWofXgXojCpFEVRfB3E9Rg6dOhNn6Nnz5507969EKIpPtLS0jCZTJjNZoKDg30djhBCCCFuVno6LFkCPXpA2bKebV99BXPmeKrOe/f29FYUJVJJn7ulpqayceNG4uLi2LBhA/v27UNRFG/LoDp16nir1Dt06EB4eLhP481KoufWzkVRFCpWrEhaWhpJSUkYr+hVarVaKV++PBERERw+fLjA1yvp318hhCgqVqvV2yLLYrFk+8wVorgwZzjYd8qM1eYkNECPXqtGs3cvrgMHSLqnGxlOF1XC/Knc9W7O1GzAmUeGcqlqTQDcboXUDDvhRj01ygV6eqJLS8ViraDzthJXiZ5V7XKjVCoVVapUKXVJdCGEEEKUEocOeRYKnT8fLl6ECxdg/HjPvj59oG9fn4YnBEBoaCg9e/ak5799+FNSUtiwYYM3qf7XX3+xf/9+3n//fdRqNQ6Hw7cB5yMxMZHTp0/TpUuXHMkco9FI27ZtWbNmDSdOnKBSpUo+ilIIIUoHPz8/4uLivK+FKG4UReFYshWrzUkFfw3Bq5cTvnAexh3bcJlMnGzdgYtuNXaTHwe+W8vhC1Yy7E6CnC60ajXpdifmDAdVwo1UDjNKAr0UKXFJdID//Oc/jBo16rqPUxSFatWqFUFEQgghhBA3weWC1as9C4WuWXN5e7VqcGVbDJmEi2IqLCyMBx98kAcffBC73c4PP/zA1KlT2bdvH2538e4FmpiYCEDNmjVz3V+zZk3WrFlDYmJinkl0m82GzWbzvk9LSyv8QIUQohTQaDR06NDB12GI21hufc6vTHRb7S4sh49Rf9kiIr78DN35c57jtFoutYulApmcU4wkmTOpWiaQ6mUDOWPOIC3dgVPxJNCrlTXSvEooJn+dr25TFIESmUQPCQkhOjra12EIIYQQQtw8pxMaNoT9+z3vVSq491545hnPf9XSR1EUb06nk19//ZW4uDji4uLYtm0bNpsNRVGoU6cOMTExvg4xX2azGQCTyZTr/qzHerPG5eb1119nypQphR+cEEIIIQpNXn3Oo8ON3oS3esECWo98CrXLBYAjojwpjwwiZcBgnOUjUbkVwlOsGLRqzpgzCA3QU7WMkbRMBykWO1XKGGkRHYopQO/LWxVFoMQl0d9//32aN2/us+OFEEIIIW7a339D3bqe11otNG8OZ8/C0KHw9NNQvbpv4xMiH263mx07dniT5vHx8WRkZABQr149hg0bRkxMDO3btyciIsLH0d4aEyZMYMyYMd73aWlp0vpFCCFy4XA4+OijjwB44okn0OmkUlfcGrn1Obc73Zw/fQHbkWPUal4Pk78O5a62qF0u0lq24eLgxzHf2w2u+P/U4XIT7KejVvkgLlhs2RLyNcoFUjnMKBXopVSJS6I/+eSTPj1eCCGEEOKGZGZ6FgZ9913YsQP27PFUoAP897/w4YcQEODbGIW4hvvvv5/4+HgsFgsqlYqGDRsyfPhwb9Lc1wuI3oisCvS8Ks2zWrPkVakOYDAYMBgMhR+cEEKUMna7nWeeeQaAwYMHSxJd3BJX9jmPNPkDYDi4n4qffULIsi+5cGd7js9fRIMKJgLq1eHv+AROmMp5x14pNd1OZIgfkSbPV36tYUTpIs8HFyJFUfj222+JjY0lMjKSgIAAateuzZNPPsk///yTY3xaWhpjxowhOjoag8FAlSpVePHFF7FYLD6IXgghhBBF4uhRGDcOKlaEwYM9CXS9Hn7//fKY8uUlgS5KhJ9++gmr1cqDDz7I7t272b17N//73//o1atXiUygw+Ve6Fm90a92rZ7pQgghhCjerHYXKRY7oXo1wau/p2rfB6jVqTXhCz9GY7lE0LHDpCRbsNpdqFQqKjSth9Gg5Yw5g0yHC5dbIdPh4ow5A6NB610wVKVSEWjQEhKgJ9CglQR6KVfiKtGvJT09ncWLF7N//35UKhX16tWjf//++Pvn/O1RYXvhhRd48803iYyMpGfPngQHB/PHH3/w8ccf88UXX7B161YaNGgAgNVqJSYmhoSEBDp37kz//v3ZvXs3s2fPZuPGjWzatElWqhZCCCFKsjNn4IknYNUqUBTPtsqV4amnYNgwuE3aXIjSpXv37mzevJlly5bx7bffUrVqVWJjY+nQoQMxMTFUrFjR1yFet5o1a1KhQgXi4+OxWq0YjUbvPqvVSnx8PFWrVpX2LEIIIUQJ5XS5ifjqc2p88Cb6pNMAKGo1affcR/Kgx0lr0x6H1Y7T5VkM3eSvo0GUKUf/9MgQP2nXchsrVUn0HTt28MADD3D+/HnKlCmDzWYjLS2NiRMnsmrVKpo0aVJk105KSuJ///sf0dHR/PHHH9ke95wzZw5jxozhzTff5NNPPwVg1qxZJCQkMG7cOGbMmOEdO378eGbOnMmcOXOYMGFCkcUrhBBCiCLgcoFG43kdFga//eZJoN9zD4wcCd26Xd4vRAm0fPlyFEUhISGBuLg4NmzYwNKlS/nkk09QqVRUqVKFDh06eL9KQuJZpVIxfPhwpk6dyrRp07LNzadNm4bFYuGll17yYYRCCCGEuG6KAm43aDRoNWp0tgz0Sadxhpchpf8gUh4djCPKM09xOFxo1Sq0mssNO0z+OhpGmaRdi/BSKUpWaVTJ17x5c0JDQ1mwYAFRUVEAxMfH8/DDD1O1alW2bt1aZNfevn07d955JwMGDGDx4sXZ9iUmJlKrVi26devGihUrUBSFihUrkpaWRlJSUo5ql/LlyxMREcHhw4cLfP20tDRMJhNms5ng4OBCuy8hhBBCFMDu3Z5e59u3wx9/XE6Ur17tWSS0dm3fxieKndI0d3O73ezevZv169ezYcMGtmzZwqVLl7xJ9djYWObNm3fL45o3bx5btmwBYO/evezatYu2bdtSo0YNAO666y6GDx8OeObgbdu25Y8//qBz587ccccd7Nq1i7Vr19KiRQs2btx4XU+2lqbvrxBCFCar1UpgYCAAFoslWz5EiGtRFOXaSW2LBZYs8czNR4+GwYNRFIU//zqOe+VK1A/3RrlqHZMz5gwiQ/xoUMEkSfLbUEHnbSWyEv3LL7+kX79+Obb/8ccfrFmzxptAB2jbti39+vXjgw8+KNKYatasiV6vJz4+nrS0tGx/6CtXrgSgU6dOgCepfvr0abp06ZLjHwyj0Ujbtm1Zs2YNJ06cyLN6x2azYbPZvO+zFjwSQgghxC1is8HSpZ4J+rZtl7dv2AD//pvP/ff7JDQhbiW1Wk2zZs1o1qwZL774Im63m++++44pU6awb98+jh496pMk+pYtW1i4cGG2bfHx8cTHx3vfZyXRjUYjGzduZPLkySxbtoy4uDgiIyN5/vnnmTRp0i1pDSmEEEKIvJkzHDnaq4QF6okO/7e9ysGD8N57MH8+ZOXIPvkEBg9GpVJRqVoF9j3UF2umk1C1C51GjcPlJjXdnq3PuRB5KZFJ9EGDBrFkyRLef//9bAnzihUrsnLlSjp27OjdZrVaiYuLK/L+jOHh4cyYMYPnn3+eOnXq0KNHD29P9PXr1zNixAjvCtTXWpyoZs2arFmzhsTExDyT6K+//jpTpkwpmpsRQgghSgm32815i51Mhws/nYaygXrU6ptcV/3MGXjnHZg3D86d82zTauHhhz0tW9q2vfnAhShhzpw5423vEhcXxz///OPdp/FRC6MFCxawYMGCAo83mUzMmTOHOXPmFF1QQgghhLguiqJwxpzJ3pNmbE4X5YP9MOg02J1uksyZ6FatJOCbhejW/XL5oBo14OmnYcgQ7ybpcy5uVolMou/atYvhw4dTr149pk+fzsiRIwGYNGkSQ4cO5ccff6Rx48bYbDY2b95MSkoKn332WZHHNXr0aKKiohg+fHi2yve77rqLAQMGoNV6/rjNZjNAtr7pV8qqYs8al5sJEyYwZswY7/u0tLQS0XNSCCGEuFVOpKaz40gyJ1MysDsV9FoVFcP8aVE1nEqhATd+4iNHYPp0z+uoKHjySXj8cShfvnACF6IEOHv2rDdhvmHDBm+RiKIoqFQqGjduTGxsLLGxsbRv397H0QohhCguDAaD92l9w1UtNYS4mjnDwdELFnYdS+WCxU7ZQAMut0J5kz+BBi2RJn/KLvwY3bZNKCoVqq5d4ZlnPOsR5VI4I33Oxc0okUn0+vXrs3XrVt5++20mTJjAkiVLmDdvHoMHD6ZWrVq89dZbHDx4EIAuXbrw3HPP0apVqyKPa+rUqfzf//0fU6dO5dFHHyUkJISEhARGjx5Nhw4dWLZsGd27dy+UaxkMBvkHRwghhMjDidR0Vu85w8V0B5EmP/z1GjLsLhLPWjl/yc79jSILlkg3m2HhQsjIgHHjPNvuvBOeeAI6d4bu3UEnVSvi9jFixAg2bNjAgQMHgMtJ8wYNGtChQwdiY2OJiYkhNDTUx5EKIYQojrRaLV27dvV1GKIEMGc42HfKTLLFhsOpEBXiR9k/E4j+eiF7R06gQv3qBBq0JD/5LOn1GhH+wnMY6+Te8eFKKpWKQEOJTIcKHyux/9eoVCqee+45evbsydNPP03Tpk0ZP348L7/8Ml9++eUtj+eXX35h0qRJjB49mvHjx3u333XXXaxYsYJq1arx/PPP0717d28Fel6V5ln9zfOqVBdCCCFE3txuNzuOJHMx3UGtckHe7UF+aoL8dBw8e4mdR1OIMvnl3dpl715Pr/NFi8BqhcBAzyOhwcGgUsGHH96iuxGieMl62rJu3breSvMOHToQHh7u48iEEEIIUVooisKxZCtWm5MIjYuQn5bScPkiQg/sAyCtQjQnKr5A9bKBZMTezYkW7WheWX6BL4pWiU2iZ6lcuTKrVq1iyZIljB49mq+//pp58+bRpk2bWxrHjz/+CEBsbGyOfeXLl6dOnTrs3r0bi8Xi7YWe9djr1a7VM10IIYQQeTtvsXMyJYNIk1+u+yNNfpxITue8xU654CvGOBzw7bee5PnmzZe316vn6XWuLfHTJiFu2hdffEGHDh0oV66cr0MRQghRAjkcDhYvXgzAI488gk6e6BO5sNpdpP91kEbffEaZbxajNV8EwKU3cLJzdy507Iw53UGGw4VapUKrVqHV3OS6R0JcQ6n5aXDAgAF06dKF0aNH0759e5588klmzJhBUFDQtQ8uBHa7HYDz58/nuv/8+fOo1Wp0Oh01a9akQoUKxMfHY7VaMRqN3nFWq5X4+HiqVq0qPc6FEEKIG5DpcGF3Kvjrc1/M0E+nwe5UyHS4su+YMQNefdXzWqOBXr08yfOYGE/1uRCCvn37+joEIYQQJZjdbmfIv4s99u7dW5LoIlfOSxaa94xFm5EOgLVCJfY90J8LvR/FHhqG263gzLDjciuYbQ4iQ/ww5jH3F6KwlNhf0+zatYsRI0bQrVs3RowYwe7duwkPD+ezzz5j9erV/PTTT9SrV48ffvjhlsTTtm1bAN58880cbVo++OADTp48yZ133onBYEClUjF8+HAsFgvTpk3LNnbatGlYLBYef/zxWxK3EEIIUdr46TTotSoy7K5c92c6XOg1ELQ9Hn7//fKOQYM8C4W++iocOwbffAMdOkgCXQghhBBCiKKUnAwLFnjfaoMCOffAQ1yMuZuj879kT9xOEgeP4LQuAJvTRabThcutcMFiw2jQUjnMKIuDiiKnUhRF8XUQ12vFihU8+OCDBAUFUatWLRITE0lLS2P58uXeBSoyMjJ4+eWXefvtt+nVqxfvvPMOERERRRaTy+WiY8eObNq0iYiICLp3705ISAi7du1i/fr1+Pv7s2HDBlq2bAl4Ks7btm3LH3/8QefOnbnjjjvYtWsXa9eupUWLFmzcuBF/f/8CXz8tLQ2TyYTZbCY4OLioblMIIYQo9txuN8sTTpF41pqtJzqA1mrB8OViWq/5iuDDB6FrV1i58sqDIa8+6UIUopI6d9Norr/KS6VS4XQ6iyCa4qukfn+FEKKoWa1WAgMDAbBYLNmezBe3oZ07Pa0Uv/gCbDbYsQOaN0dRFPaeSCXpkp1Ikyc3ZrE5OWPOIC3dwXmLjbKBBu6oEkJ0eCAmf3miQdy4gs7bSmQSvWnTprjdbrZs2UJQUBAWi4W2bdui0WjYtWtXtrE7duxg+PDhnDhxgpSUlCKNy2azMWfOHL7++msOHDiA3W6nXLlyxMbG8tJLL1G3bt1s481mM5MnT2bZsmUkJSURGRlJ7969mTRp0nW3oZGJuhBCiJJMURSsdhdOlxutRo1Rr7mpapITqems3nOGi+kOIk1+lD35D1W/WkDVH7/FkGH1DDIaYeBAeOcdSZyLW66kzt2y2hNWq1btuo77+++/iyii4qmkfn+FEKKoSRJdkJkJX3/tSZ7/9tvl7U2bwv/+B+3bA2DOcLDvlBmrzUlogB6dRo3d5SLJnIlBq6ZhxRAiTX5SgS5uWqlOogcFBfH0008za9Ys77axY8fywQcfkJaWlmO8y+Vi1qxZTJgw4VaGeUvJRF0IIURJZc5wcCzZSorFjtOtoFWrCAvUEx1uvKmqkhOp6ew4kkyNyeNotOIL73ZHzVronhnpad9iMhXGLQhx3Urq3M3f3x+bzUadOnUYMmQIAwcOlEVGc1FSv79CCFHUJIleOhW4IOavvzzrDV244Hmv10OfPp51iFq1ytFGMbefE8KD9FQOu7mfE4S4UqlOojdt2hSVSkV8fDz+/v5kZGTQpk0bFEUhISHB1+H5hEzUhRBClERXV5jotWrsTjep6XaMBi0NokzXP0FOSoKgIDAacbvdWN56j6DnR2G7vyv6Z59Bfc890udc+FxJnbtdvHiRRYsWMX/+fHbv3o1Wq6Vr164MHTqUrl27opanOoCS+/0VQoiiJkn00iffghiDxrPWUNWqnsFOp+e1Wg1PPQXDhsE1Wi8X9hOrQlytVCfRf/jhB3r16kVoaKi3J3pKSgrffvstPXr08HV4PiETdSGEECWNoijsPWUmyZzp7XV4pTPmDCJD/GhQwXTtibKiQHy857HQZcvgrbc8E3MAq9WzWFHlykVwF0LcmNIwd/vjjz/45JNPWLJkCampqURERDBw4ECGDh1K7dq1fR2eT5WG768QQhQFSaKXDlmJ7RSrjYNnLbhcbsKMBm9BzKUz56i6aimVv1qIJjMDjh4FrdZzcGKiJ5Ge9V4IHyvVSXTw9DqfN28eJ0+epFKlSgwdOtS7aOftSCbqQgghShqLzcnOIykYDVr8dDkXK8x0uLDanDSvGkagIY9JttUKS5Z4kud//HF5++DBMH9+0QQuRCEoTXM3u93Od999x6effsq6detQFIU777yTefPmUadOHV+H5xOl6fsrhBCFyel08t133wHQq1cvtJJILXGyKs+TL9k4fN6KOdNB1TJGIk3+lDn0F+EL5xHy3TeoMzMAUIKDUW3aBI0b+zhyIXJX0Hlbif20atGiBS1atPB1GEIIIYS4QU6XG6dbQa/Nvf2DTqPG6VZwutw5dyoKvPgizJsHZrNnm78/DBjg6anYtGkRRi6EuJJer6dv37707duXbdu20adPH7Zt28bBgwdv2yS6EEKI3Gm1Wnr37u3rMMQNurIVo59Wg1oNZQMNaH7dTvUPZhKxZ6d3bHrtepzoP4SoZ4YTGB7iu6CFKCQlNokuhBBCiJJNq1GjVauwO925VqI7XG60ahVazb9JdkW53MtcpYKDBz0J9GrVYMQIGDIEwsJu4R0IIQAcDgfLly/n008/5ZdffsHlctGqVStq1arl69CEEEIIUUgUReFYshWrzUmkyZ9LGXbcChgNWoKCA4nYsxO3VkvafQ+QPOhxLjVvzQWrnXL+Ab4OXYhCUeKS6GvXrqVGjRpUq1bNJ8cLIYQQonAY9RrCAvV59kRPTbcTGeKH0ZwCn34KH38M69ZBlSqeAa++Ck8/DV26eBYnEkLcUgkJCcyfP58lS5aQnJxMREQEo0aNYtiwYdStW9fX4QkhhCiGpJ1LyWW1u0i5ZKNywnYiF39KpimUgyMn43C5MddtyI7xr/NPq1iqNK5BgE6Lw+HKXhAjRAlX4nqiazQaJk2axKuvvuqT44sr6bsohBCiJLrykdDQAD06jRqHy02q1Ua5/Xuo+93n6JctBZvNc8Arr8C0ab4NWohCUFLnbqmpqSxevJj58+eTkJCAWq3mvvvuY+jQoXTr1k2SIf8qqd9fIYQoarKwaAmVlkb6vE9xv/segf8kAuD282fV2l2ccespG2TA5Va4mGGnXmQwQX46zpgziAzxo0EFE6qsp0mFKIZKbU90RVFu6i9fCfudgRBCCFGqmfx1NIgycSzZSorFjiszk6jV31H/qwUE7Em4PLB5c0+v8759fRarEAIiIyNxOBzUqlWL119/nUGDBlGuXDlfhyWEEEKIovDXX/DOO/D55wRYLAC4jEYuPtSf5IHDKFOhLOZzFs5fsuGnU6MGHG43Z8wZGA1aKocZJYEuSo0Sl0QHmDx5MpMnT76hY+UvrxBCCFG8mPx1NIwyYbW7cF40Y5oxEdWlS2AweJLmI0dCy5a+DlMIAdjtdnQ6HSqVigULFrBgwYJrHqNSqfjzzz+LPjghhBBCXJOiKJ55t8uNVqPGqNfknStbuhTef99zXN26nB4whP339CQiKgKAQKB6RCBJ5gz+uWDF5K/F7VaIDPGjcpgRk7/uFt2VEEWvxCXR27dvf9OJ8CpZvVSFEEII4TtuN/z0E6xejerttwk0aKFcOIwfDxoNDBsGZcr4OkohxFUcDgf79+/3dRhCCCGEuE7mDIf3CVCnW0GrVhEWqCc63Ijp4gX46CNo3dqz5hDAE0/A3r3w9NOoYmMJzHTid8rMGXOGtxWjVq0iQK+hccUQapUPIsyozz8xL0QJVeKS6Bs2bPB1CEIIIYS4GSn/LhT6/vvwzz+ebf36wV13eV6/9JLvYhNC5Mvtdvs6BCGEEEIUwNUV5y6Xm32n07xrEem1auwOF7Z1cTi+XoiydhUqpxM6dbqcRC9fHr75xnvOq1sxZiXiK4T6S+W5KPVKXBJdCCGEECXU77/Du+/CF19AZqZnW0gIDBkClSv7NDQhhBBCCCFKi6srzjUqSM2wo1apqV42ELXVQsgXXxH+2Sf4HfjLe5xy112oHn8833Nna8VYkJYwQpQSkkQXQgghRNHbvBnat7/8vkkTT6/zAQMgIMBnYQkhhBBCCFEaZFWep1htHDxrweVyE2Y0oNeqMac7OHIhndAAPeWCnTQc/giBWzYC4PYP4ELP3hzrM4i697XztFi8BpVKVaBxQpQm8n+8EEIIIQrfsWOwf//lR0HbtoW6daFpU0/y/M47QapVhChR1q5dS40aNahWrZpPjhdCCFHy6fV65s+f730tCkdW5XnyJRuHz1sxZzqoWsZIsL+Cn8tFxLrVlK3SiEyXhqS0DKIe6ofu9CmSBw4j9eH+OIJMmC02nC5p2yZEXtS+DkAIIYQQRUtRFCw2JxfT7VhsThRFKZoLud2wdi306AHVqsFjj4HN5tmnVsMff8DixdCmjSTQhSiB7rvvPhYtWuSz44UQQpR8Op2OwYMHM3jwYHQ66Z9dGMwZDvadMpNkzkSjVqNWQ9lAA+nHT+E/63Vq3dmIOiMHU+enb/HTaTFbHZzp2ouDcb+RPOxp3KYQHC43WrUKrUbShELkRSrRhRBCiFLs6n6IWrWKsEA90eGFuPDPxYuwYAG89x4kJl7e3qgRnDsHlSp53ssPSkKUaIqi3FS/0yL7BZ4QQghxm1IUhWPJVqw2J5Emfy5l2Cm7ZyeNV3xBxV9WoXY6AHCGhWPw05PhcKFRq3CpNJ4il3+lptuJDPHDqNf46laEKPYkiS6EEEKUUllVKVabk9AAPXqtGrvTTZI5k0uZThpEmW4+kf7FFzB8OKSne94HB8OgQTBiBNSpc/M3IYQoViZPnszkyZNv6FhZcEwIIYTT6WTNmjUAdOnSBa1W0lIFldXz/MrFPK12FykWO6EBenA6afRwFwL37PYec6FBU/7q+Rh+j/TFpTOgO2MmNd2Bw+3G5VZwuNykptsxGrRUDjPKv9VC5EM+rYQQQohS4sqJtUat4ugFi7cqJYufTkOkyZ8z5gyOp1hpUMF0fZNlux3MZihb1vO+USNPAr1BA0+v80cfhcDAQr4zIURx0L59+5v+4bpKlSqFE4wQQogSyWaz0a1bNwAsFosk0a/hysVCz1zMJN3uxOXG+3Rp+MXzONXB6LVqUKlwVorGdeAvEjt158yAISTXbsjFDDv1tHqCDFrCjHpCjTrcboULFhtatYrIED8qhxXiU6pClFLyaSWEEEKUAle3bXG43SRdzKRqGWOu40MD9CRfsmO1uwg0FGA6cPIkfPghfPwxdOrk6W0OUL8+7N4NjRtLn3MhSrkNGzb4OgQhhBDitpE1vz+RnM4/563Y3W4qhPhR2eRHxKafCV3wMeHbNpG4fCP2hvXx02lIemUqiVP+ywG7jnS7Cz+7EzXgcLs5Y86gbJAf9SsEo9Wos1W0SwW6ENdW4pPo6enpbN26lfj4eE6ePMmFCxcICAigbNmyNGzYkJiYGGrUqOHrMIUQQogik1vblmSLjQsWGxqNCoNOkyNRrtOocboVnC533idWFIiLg3ffhe+/B5fLs33rVk9Ful7ved+kSdHcmBBCCCGEELehrPm9JdPBJZsTvU5NxUwLUZ/Mo94PXxCYdAoARaXC9Gs856rVoEJIAI6KlfEDqtucJJkz+OeCFZO/FrdbkYpzIW5SiU2ib9u2jQ8++IClS5eSmZmZ50JFKpWKunXr8tRTTzFw4ECCg4NvcaRCCCFE0bl6MaEsRj8tZQMNXMpwkGTOoHrZwGwVJg6XG61ahVajzu20nl7n06bB339f3hYT42nZ0rOnLBIqhBBCCCFEEbhyfh8SoCf1yEk6fzCTyr+sRGO3AWA3hXCx/2Mk9RvMqdDy+KnVnDFnEBqgR6dRo1WrCNBraFwxhFrlgwgz6qXiXIibVOKS6H/++Scvvvgia9asQaPR0KFDB+68806aN29OuXLlCAsLIyMjg5SUFA4cOMD27dtZv349zz33HFOmTGHixImMGDFC+m4JIYQoFbItJnQFf52G4AAdVrsTc7qDDIeLAP3lf/tS0+1Ehvhh1GsuH6Qol1uynDzpSaAHBsJjj3kWCm3Q4FbckhBCCCGEELctq91FyiUboQF6HC43Gf5GKsSvQ2O3kVqvMQcfeoyDMfdTq1oEBo0GP4uNWuWDuJhu97Z21KpVVAj1l8pzIQpRicskN27cmOjoaObOnUu/fv0oU6ZMnmNjYmJ44oknANi4cSMff/wxzz//PJcuXeLll1++VSELIYQQRcbpcuN0K57FhK6gQkWkyR+LzclZcyaVbU4MWg0Ol5vUdDtGg5bKYUZUTicsX+5p2fLkk9C/v+cEQ4eCvz8MHAjyFJcQQgghhBBF78gRtG+9Q5MNmzn2/RrcigqVnz87x76Go2JlUhs0xeVWsGXYcbkUHHieLg0z6qkU6o/V7pJe50IUkRKXRP/www8ZNGjQdVeSx8TEEBMTw6RJkzh58mQRRSeEEELcWtp/H9e0O9346TTZ9gUatFQKDcDlcmNzurlgsaFVq4gM8SPalkbwf9/zLBZ6+rTnAEW5nEQPD4dnnrnFdyOEEEIIIcRtxu2GNWs8RS2rV+OnKPgBSVs2oWoXgylAx59t76VskAEAp9uNVqVCo1Fle7pUpVLlWAdJCFF4StzfrmHDht3U8TVr1qRmzZqFFI0QQgjhW0a9hrBAPUnmzGw90bM4XG6aVQmlaplAXG4F/bat+H/8Aaply8Dp9AyKiIDHH/dUogshhBBCCFFE9Ho977zzjvf1bS01FT79FN5/Hw4f9m5WOnfmWN9BHG/QnEiVivImf6w2F+cv2Qj212LOsGMK0HHRaifQT+d5ulQqzoUociUuiS6EEEKIy1QqFdHhRi5lOrMtJnRl25bo8ECC/P7thTjlVdi82fO6TRvPQqEPPQQGg+9uQgghhBBC3BZ0Oh0jR470dRjFw+7d8MILntcmEwwZAk8/japWLUIzHBhPmb3z+ypljJxMTefUxQx0GhWBBp30PBfiFpMkuhBCCFHCmfx1NIgycSzZmm0xoejkE1T5+nMMr74C/hGewWPGQO3anuR5kyY+jVsIIYQQQojSQlGUvHuS22ywdCmYzTBihGdbbCz07g333AMDBoDR6D1XbvP7ckEGqpYNINIUQJhRLz3PhbjFSlwSvVq1ajd0nEql4vAVj8cIIYQQpYnJX0fDKBPWdBuqlSswfPQh2vXrPDsrVoDx4z2ve/b0fAkhxE1KT09n69atxMfHc/LkSS5cuEBAQABly5alYcOGxMTEUKNGDV+HKYQQohhxuVxs/vepyHbt2qHRaK5xRMlgznDkKGgJC9RTJT2Z4AWfwLx5cP48hITA4MEQEAAqFXz9dZ7n9M7vZbFQIYqFEpdEd7vdN/SBoShKEUQjhBBCFBPnzqGaN4/ADz6AEyc829Rq6NbN07ZFCCEKybZt2/jggw9YunQpmZmZec6zVSoVdevW5amnnmLgwIEEBwff4kiFEEIUN5mZmcTGxgJgsVgwXlF9XVKZMxzsO2XGanMSGqBHr1Hht2E9oQs/JmjDz56FQwEqVvSsQeRyFfjcslioEMVHifubePToUV+HIIQQQhQv6elQsyakpXneh4dfXii0ShWfhiaEKD3+/PNPXnzxRdasWYNGo6FDhw7ceeedNG/enHLlyhEWFkZGRgYpKSkcOHCA7du3s379ep577jmmTJnCxIkTGTFiBFptifsRRAghhMiVoigcS7ZitTmJNPkDUPat2ZT/7/95x1jatsc4+jlUPXqA/BsoRIklf3uFEEKIkiY9HX75Bbp397wPCIAePeDAAU+v8z59wM/PtzEKIUqdxo0bEx0dzdy5c+nXrx9lypTJc2xMTAxPPPEEABs3buTjjz/m+eef59KlS7z88su3KmQhhBCiSFntLmy/7ybSzwCm+gCYH3iQsh++ReqDfTkzYAjJlarTvGoYgZJAF6JEK1V/gy0WCwcPHsRqtdKuXTtfhyOEEEIUrkOH4P33Yf58SE2FPXugYUPPvo8+ksS5EKJIffjhhwwaNOi6K8ljYmKIiYlh0qRJnDx5soiiE0IIIQpPvouEAtjt8O23+L39Di22xnPxvgc48dHnnl1Vq/H37wdR/PxwuRWcFhtOl9tHdyKEKCxqXwdQGI4ePUqPHj0IDQ2lRYsW3v5aAPHx8dSrV48NGzbcsni+++477rnnHsLDw/Hz86Nq1ar079+fE1k9av+VlpbGmDFjiI6OxmAwUKVKFV588UUsFssti1UIIUQx53LBypVw332eli1vvulJoFetCklJl8dJAl0IUcSGDRt2U61YatasmW2eLoQQQhRH5gwHe0+Z2XkkhZ1HU9l5JIW9p8yYMxxw6hS8+ipER0P//mi3xuPWanFp9Zd7nwPKv3Nzh8uNVq1CqykV6TchbmslvhL9+PHjtG7dmuTkZHr06EFSUhLbtm3z7m/VqhUXLlzgiy++oEOHDkUai6IoPPXUU3z00UdUr16dfv36ERQUxOnTp9m4cSPHjh2jUqVKAFitVmJiYkhISKBz587079+f3bt3M3v2bDZu3MimTZvwk4SIEELc3vbv9yTPs9YDUang3nvhmWc8/1XLZFwIIYQQQojCkmORUK0au9NNkjmT8MmvELzgA1RZC4NGRqI8/jj7H+jHSf9QInOZm6em24kM8cOo19ziOxFCFLYSn0SfNGkSqampbNy4kTZt2jBlypRsSXStVku7du2Ij48v8ljeeustPvroI0aMGMFbb72FRpP9Q9LpdHpfz5o1i4SEBMaNG8eMGTO828ePH8/MmTOZM2cOEyZMKPKYhRBCFDMXLkBWn+Fq1SAjA0JDYehQePppqF7dt/EJIYQQQghRCl29SKjacgnFpcPPz49Ikz+XypZH5XKhtG+PauRI6NULlU5HVIaD1FNmzpgzCA3Qo9OocbjcpKbbMRq0VA4zZm8FI4QokVSKoii+DuJmVKhQgfbt2/Pll18CMGXKFKZOnYor6zeDwJgxY5g/fz6pqalFFkdGRgZRUVGEhoZy4MCBfB91VRSFihUrkpaWRlJSEkaj0bvParVSvnx5IiIiOHz4cIGvn5aWhslkwmw2ExwcfFP3IoQQ4hbLzISvvoJ334Xz5z29z7N+EbtrF9Sp41k8VAhRapTEuVu1atVu6DiVSnVd89rSoCR+f4UQ4law2+3MnTsXgFGjRqHX630c0WUWm5OdR1IIP36ICovnE7LsS85MmUFq30cBsKek4j56lLpd7iLQkD3nY85wcCzZSorFjtOtoFWrCA/SUznMiMlf54vbEUIUUEHnbSW+Ej0lJYUqVarkO0ZRFGw2W5HGsXbtWlJTUxkyZAgul4sffviBgwcPEhISwt13302NGjW8YxMTEzl9+jRdunTJlkAHMBqNtG3bljVr1nDixAlv+5er2Wy2bPeUlpZWNDcmhBCi6Bw5Ah98AJ98AsnJnm16vWfB0KZNPe/vuMN38QkhSpVq1apx33338e67797Q8W63+4Yq6Up4zY4QQohCpNfrefHFF30dRk4OB6qly2g0923Cdmz1bg7csM6bRNeEhJBao26ui4Sa/HU0jDLlvxipEKJEK/FJ9HLlypGYmJjvmL1791K5cuUijeP3338HQKPR0KhRIw4ePOjdp1arGT16NLNnzwbwxluzZs1cz1WzZk3WrFlDYmJinkn0119/nSlTphTmLQghhLhVdu/2LEi0ahVkJZcqV/a0axk2DMqW9W18QohS6cKFCzdVFX00a30GIYQQogRwu90kmTP454IVh1uhUog/VcsYs7feVRR47TV4/32Mp09jBBS1mrTO95M86HGsbdt7h15rkVCVSpWjQl0IUXqU+L/d99xzD59//jl79uyhUaNGOfZv3ryZ9evX85///KdI4zh37hwAb775JnfccQe//fYbdevWZffu3TzxxBO88cYbVK9enaeffhqz2QyAyWTK9VxZP9xkjcvNhAkTGDNmjPd9Wlpangl3IYQQxUxmJqxc6Xl9zz0wciR063a5hYsQQhSBqws9hBBCiFvN5XKxa9cuAO64444ca8ndrMzMTFbtO0v8gTNsPXIRc7oLnQ7C/LSEBRtpUimEh1tUol7kv/kYlQo2b4bTp1EiIjjX9zH2d+9PWJ0aOc4ti4QKcXsr8Un0V155haVLl9K+fXtefPFFDh06BMCPP/7I1q1befPNNylTpkyRPy7kdnse59Hr9SxfvpwKFSoA0K5dO7755hsaN27MG2+8wdNPP10o1zMYDBgMhkI5lxBCiCK0e7en13lICPz7RBKtW8OMGdCrF9Sq5dPwhBC3j3HjxvHQQw8RFxdHbGxsoZ7bYrFw8OBBrFYr7dq1K9RzCyGEKD0yMzNp2bIl4Pm34+oWtzfq2LFjPPDhPtJydlohwwZpNie2S+eJ2fAdQaNWc3DZt9S6o65nwMSJMGgQqocews+tRiuLhAohclHik+hVqlRhzZo19OvXj4kTJ6JSqVAUhW7duqEoCpUrV2bp0qVERkYWaRxZVeXNmzf3JtCzNGjQgGrVqnHo0CEuXrzoHZtXpXlWf/O8KtWFEEIUczYbLF3qSZ5v2+bZFhgIkyZBUJCn4mXcON/GKIS47aSmptK5c2c6d+5Mz549adGiBeXKlcs1GTBw4MACnfPo0aOMGjWK1atXe3umO51OAOLj43n88cd577336NChQ2HeihBCCIHNZuP7nf8wdsU/+Y6rlnySx3av4qG96wi2pwPw6//exTV/rqcS/q67vGNNQIMoU45FQiND/GSRUCFucyU+iQ7QqlUrEhMTWbFiBb/++ispKSkEBwfTqlUrevTocUtWe65duzYAISEhue7P2p6RkeHthZ5XL/dr9UwXQghRTB0/Dh9+CB9/DOfPe7bpdPDww56WLYGBvo1PCHFbGzx4sLfgZNmyZSxbtgwgWxJdURRUKlWBkujHjx+ndevWJCcn06NHD5KSktiW9YtDPHP0Cxcu8MUXX0gSXQghRKHJzMxkwtIEvtuXnOcYjdtFp0O/8diuVbQ7luDdfiQ0kp/b9WB/mwcpm5JBtbI55+eySKgQIjelIokOoNVq6dWrF7169fLJ9bMeif37779z7HM4HBw6dAij0UjZsmUpX748FSpUID4+HqvVmu3xJavVSnx8PFWrVpUe50IIUdJ8+CFMn+55HRUFTz4Jjz8O5cv7Ni4hhADmz59fqOebNGkSqampbNy4kTZt2jBlypRsSXStVku7du2Ij48v1OsKIYS4/TgcDn754x/Gf38Is+Pa4432DP63cjYBDhtuVKyr0YLPm3Zlc9WmlA3UUU9nxGpz5nm8LBIqhLiafCIUkurVq9O5c2fWrl3LvHnzGD58uHffjBkzuHjxIo8++ihareePfPjw4UydOpVp06YxY8YM79hp06ZhsVh46aWXbvk9CCGEuA5mM3z2GTRuDO3be7Y99RT8+is8/TT06AFa+WdWCFF8DBo0qFDPt2bNGnr16kWbNm3yHBMdHc369esL9bpCCCFuHxcuXKDX3F85kV/iXFFoevoAHf7ZyZx2jwKQ5hfIgmYPoFJgcdP7OGkq5x1ud4GfXoNRkuRCiOtQ4j4xpk6dekPHqVQqJk6cWMjRZPfee+/Rpk0bHn/8cZYvX06dOnXYvXs369evJzo6mv/+97/esWPHjuX7779n5syZ7N69mzvuuINdu3axdu1aWrRowX/+858ijVUIIcQN2rfP0+v888/BaoX777+cRK9UCX75xbfxCSHELZKSkkKVKlXyHaMoCjab7dYEJIQQotSw2+3cN2cDh1Pzzp4bHDa6/72RgbtW0fDsYQDW1WjJnshaAMyKGZzrcVo11IsMJDrMv9DjFkKUXrckib5p0ybMZjP33nsvOl3uizDY7XbWrFlDSEgI7dq1y/NckydPzrHt6j6OV2/P6u1Y1En06tWrs3PnTl599VV++ukn1q5dS/ny5Rk5ciSvvvoqERER3rFGo5GNGzcyefJkli1bRlxcHJGRkTz//PNMmjQJf3/5MBdCiGLD4YBvv4X33oNNmy5vr1sXunUDRfEsFiqEECXAd999xxdffMH+/ftJT0/n0KFDAOzfv58ffviBRx55hKioqGuep1y5cnmu8ZNl7969VK5cuVDiFkIIcXtY/vtR/vPNn3nur5x6hkd3r6bP3p8JybQAYNPoWFG3PZcMxjyPy3JHpWDurh/pWVRUCCEKqMiT6H///TedOnVi0KBBPPDAA3mO0+v1rFixggULFrB3717vQp1Xi4uLy7HtjTfeYO3atTz22GO0a9eOcuXKcfbsWTZt2sSiRYvo0qULY8aMKbR7yk+lSpUK3G/SZDIxZ84c5syZU8RRCSGEuCndusHatZ7XGg307OlZKLRDB0meCyFKDLfbTf/+/Vm6dCkA/v7+ZGRkePeHhoby8ssv43K5mDBhwjXPd8899/D555+zZ88eGjVqlGP/5s2bWb9+vTxhKYQQwkun0zFp0iTv66vN/PFP3t94NM/jm538i28Wj0ONp4DyhKkci5rex9cN7yE1wHTN69eK8Oc/99anXuS1xwohxJVUypWl20VgzJgxvP/++xw9epRy5crlO/bs2bNUrVqVp556ijfffLNA5583bx5jxoxh27Zt1K9fP8f+vXv30qZNG+bOncvQoUNv6B5KgrS0NEwmE2azmeDgYF+HI4QQhcLlcnEsJQOrzYnRoCU6zL/oK0YUxVNtfscdEBTk2fbRR/Dqq/DEE56vihWLNgYhRKnni7nbG2+8wYsvvshTTz3FjBkzePPNN5k2bRoul8s7pmPHjtjtdrZs2XLN8x09epQmTZoA8OKLL7J//36WLFnCypUr2bp1K2+++SZGo5E//viDyMjIorqtYknm5kIIUTCKomC1u3C63Gzaf4Zxy/aRcfmfJUIy0qiWfIpdFesCoHG72PjhcA6FV+azO7qyoVoz3OqC/XzQrUFZ5vZvJhXoQohsCjpvK/IkepMmTYiMjOTHH38s0Pj777+fU6dO8ccffxRofMOGDbnzzjv56KOP8hzz+OOPs337dvbu3Vugc5ZEMlEXQpQ2f50x8/OfSRy5kI7D6UanVVO1TAD31C9fNJUjly7BokWefud//ulp3fL00559Npun4lyvL/zrCiFuS76YuzVs2JCAgAB+/fVXAKZMmcLUqVOzJdGfeOIJVq1axalTpwp0zl9//ZV+/fpx7NgxVCqVt42ioihUrlyZpUuX0rx58yK5n6KwY8cOJk2axNatW3E4HDRs2JAxY8bQp0+f6zqPzM2FECJ3VcavyrHt/UfuQHE5mf3zIf5JTgeg4ZlEBu5axQP7N3HRL5C7nvoUp8bTTCHAnkG6vuAtcBtXMLJoSDOCsgpkhBDiCgWdtxV5O5d//vmHu+++u8Dj69Wrx+bNmws8/tChQ3Tr1i3fMeHh4Rw+fLjA5xRCCOFbf50x89nWY1y0OogK9cNo0GC1ufj7tIUz5mMMbBNdeIn0v//2JM4/+8yTSAcICIDU1MtjDIbCuZYQQvjQoUOHGDlyZL5jwsPDSU5OLvA5W7VqRWJiIitWrODXX38lJSWF4OBgWrVqRY8ePdCXoF8+xsXF0aVLF/z8/OjXrx9BQUEsW7aMvn37cuLECZ5//nlfhyiEECValfGrUBQ3jgsnANCVqYRKpebpxbsYEVMVi9nCg/viGLhrFU3OHPQed8EYSnlLMidNnu4GBU2gj2hTjpGd6mI0XrtPuhBCXEuRJ9Htdvt1TZ71ej1Op7PA48uWLcuPP/7I9OnTsy0wmsXtdvPjjz9SpkyZAp9TCCGE77hcLn7+M4mLVgf1Klz+LbDJX4PJX89fp9NY99dZakcE3tyjmE4n3Hcf/PLL5W21asGIETBoEISE3Pi5hRCiGPL398dsNuc75tixY4Rc5+efVqulV69e9OrV6yai8y2n08njjz+OWq1m06ZN3jY1r776Ki1btuSll17i4YcfJjo62reBCiFECZVVga447Jz51PML3Uqjl6LS+wFw+KPF/LT2HcLS0wCwabSsrn0Xn9/RlV0V6hR4HaJ6YRqWPNH6uv8tE0KIaynyJHrZsmX5559/Cjz+yJEj15XwHjBgALNmzeKBBx7gtddeo3Hjxt59CQkJvPzyy+zbt4+xY8deV9xCCCF841hKBkcupBMV6pfr/qhQPw6ft3IsJYNqZQOv7+RmM5j+rWDXaj0V52o1PPCAZ6HQTp0874UQohRq2rQpa9asITMzEz+/nJ+xKSkp/PTTT7Rv394H0fnW+vXrOXz4MEOGDPEm0AFMJhMvvfQSgwcPZuHChbz66qu+C/IarFZrnvs0Gk2273l+Y9VqNf7+/jc0Nj09nby6hapUKgICAm5obEZGBm63O884rqwyvZ6xmZmZ2doZ3czYgIAAb1GXzWbLtzDsesb6+/uj/nduYrfbcTgchTLWz8/PW4xwPWMdDgd2uz3PsQaDAa1We91jnU4nNpstz7F6vd67COX1jHW5XGRmZuY5VqfTeYv+rmes2+3OtjDzzYzVarUY/n3qUVEU0tPTC2Xs9fy9L+rPiKwEutuRidvh+TNWAQHWFNIJA+CEMYSw9DROB5VlUdP7+KJeDMn+/87bHVd9v1Wg1l2OV3HYGBUTxaC2Nbz3cWVc8hlx/WPlM8JDPiOuf2xhzSOK5RMkShHr1auXEhYWply6dOmaYy9duqSEhYUpDz74YIHPn5GRodx9992KSqVS1Gq1EhQUpFSrVk0JCgpS1Gq1olKplHvuuUfJyMi4mdso9sxmswIoZrPZ16EIIcRN2XMiVRnx+U7ljTV/K3N/Ppjj678//a2M+HynsudEasFO6HYryubNitKvn6IYDIryzz+X9+3fryjHjhXJfQghRH58MXdbvny5olKplPvvv185ceKEMnnyZEWtViuKoiiHDh1S2rdvr6jVamXdunW5Hj9lypQb+po6deotu8cbNWHCBAVQvvjiixz7zpw5owBKx44d8zw+MzNTMZvN3q8TJ07c8u8vkOfX/fffn21sQEBAnmNjYmKyjS1TpkyeY5s3b55tbHR0dJ5j69Wrl21svXr18hwbHR2dbWzz5s3zHFumTJlsY2NiYvIcGxAQkG3s/fffn++f25UefvjhfMdaLBbv2EGDBuU79ty5c96xI0aMyHfskSNHvGNfeOGFfMfu27fPO3bSpEn5jv3tt9+8Y2fNmpXv2Li4OO/Yd955J9+xK1eu9I6dP39+vmO//vpr79ivv/4637Hz58/3jl25cmW+Y9955x3v2Li4uHzHzpo1yzv2t99+y3fspEmTvGP37duX79gXXnjBO/bIkSP5jh0xYoR37Llz5/IdO2jQIO9Yi8WS79iHH3442//D+Y0t6s+I6HErlehxKxVNcIQSAsp/QDkIyidXjNWFV1b69XtNafjSD0rVcSsVXXjlPM+rCY7wnnPvoePyGfEv+YzwkM8Ij5L0GZHlynnErVTQeXmRV6I/+uijLF++nGeeeYYFCxbkO/bZZ5/l4sWLPProowU+v5+fH2vXrmXhwoV89tln7Nmzh+PHj2MymWjRogWPPfYYgwYNyrXVixBCiKLhcrk4lpKB1ebEaNASHeZf4NYrRoMWnVaN1ebC5J/zmAy7C51WjdFwjX/CrFZYvNizQOiVi1WvWAHPPed5Xbt2QW9JCCFKvB49ejBu3DhmzpxJdHS0t8InIiKC5ORkFEVh4sSJdOzYMdfjJ0+enGPblXNs5Yqq4qztyr8LjU6cOLEQ76TwJSYmAlCzZs0c+8qXL09gYKB3TG5ef/11pkyZUmTxCSFESVfv7D+8kpHGACDrOZMgQAdk1Thvi25MBaMexZZ3RXeWLc80pmLFikUTrBBC5EKlKHk8Q1eIOnXqxIYNG4iJieGVV17hrrvu8j624HA42LRpE9OnT2fDhg107NiRn3/+uahDKnUKupKsEEIUtb/OmPn5zySOXEjH4XSj06qpWiaAe+qXL9BioC6Xi3fiDvH3aUu2nuje859Oo35UECM6VM89MZ+cDP/3fzB/vqd9C4CfHwwY4GnZcscdN3uLQghx03w5d/v555955513ciwE+txzz9GlS5c8j9u4cWOObW+88QZr167lscceo127dpQrV46zZ8+yadMmFi1aRJcuXRgzZgwxMTFFeUs3rXPnzvz8888kJiZSo0aNHPujoqKwWCx59pS32WzZHh1PS0ujUqVKt/T7W9wew76atHO5sbHSqsFDWjVc/9hi06rhl1/Y+fQ4mp/627t9D/AuEPfEPDKNIZ6N/7ZoGdCiIntPm0lJTSPD6SIj04nbDeGBOro1imBY26oEBQXJZ8S/5DPCQz4jrn9ssfmMKAbtXAo6L78lSfTU1FR69uzJ5s2bUalUaLVab9/z5ORkHA4HiqLQrl07vv/+e1kA4gZIEl0IURz8dcbMZ1uPcdHqICrUD6NBg9Xm4lRqJiFGHQPbRBcokX71efz1GjLsBTyPxQJRUZCWBtWrexYKHTwYwsIK92aFEOImlIa527x58xgzZgzbtm2jfv36Ofbv3buXNm3aMHfuXIYOHeqDCAvuZpPoVysN318hhCgU06bBq6/iUGv4qVYbFja8h2XfeNaXqDR6KWp99jU6Xr6/DjXK+KOoNDhdbkKMOppWNHmTnkIIUdgKOm8r8nYuAKGhoaxfv57PPvuMTz75hB07dnDmzBnA89uXNm3aMGzYMB577LECP+5/taNHj7J48WISEhJIS0sjODiYJk2a8Mgjj1ClSpVCvBshhBC5cblc/PxnEhetjmwV5CZ/DSZ/PX+dTmPdX2epHRF4zc/6epEmBraJvlzRbvZUtNePCqJTvXKXE+jnz8Mnn0B8PPzwA6hUEBgIb7wBFStC586yUKgQQhSRuXPn0q9fv1wT6AANGzakX79+zJkzp9gn0U3/LjqdV5I8LS2N0NDQWxmSEEKULIoC69fDu+/CwIHQs6dn++OPg6LQ5lxVzgeG4bbnXck7tnNtGlQ0US/ShMlfkuZCiOLlliTRwVP6P2TIEIYMGYLL5SI5ORmA8PDwG06cZ5k7dy5jx47F6XRmeyRw2bJlTJ06lVmzZjFq1KibuoYQQoj8HUvJ4MiFdKJC/XLdHxXqx+HzVo6lZFCtbOA1z1cv0kTtiMCcvdXVati+3TNB//pryHoEcMsWaNfO83r48MK6LSGEKDWqV69Ox44d6dChAx06dCAqKuqmznfo0CG6deuW75jw8HAOHz58U9e5FbJ6oScmJtKsWbNs+5KSkrBYLLRs2dIXoQkhRKFQFAWr3YXT5UarUWPUawpn7TizGT77zLMO0f79l7dlJdHLl4dXX2UHUGX8KlQaDcEtHwRAdUUu6IvhrYguYyTS5Cdr2gkhiiWflOdpNBoiIiKIiIi46QT6ypUrGT16NCaTif/7v/9j69atHDlyhG3btjF9+nRMJhNjxoxh1apVhRS9EEKI3FhtThxON0ZD7p/r/noNDqcbqy3vnn5X02g0VCsbSMOKIVQL1KBZuBCaN4c774RFizwJ9ObNPf3PmzcvrFsRQohSyeVy8cknnzBw4EAqV65MrVq1ePLJJ/nyyy9JSkq67vOVLVuWH3/8Mc++1m63mx9//NHbxrE4y+rZvnbt2hz71qxZk22MEEKUNOYMB3tPmdl5JIWdR1PZeSSFvafMmDPy7nN9Tfv2wdNPe9ooPvecJ4EeGOhppfjWW7kecnRGV1QaHaGxQwmNHYpK46k23zelC62rh1MhxF8S6EKIYuuW9ETPoigKcXFxbNu2zdvOJTIykjvvvJPY2Ngb+rDs2LEje/bsISEhIdeVmU+cOEHTpk1p3Lgx69atu+l7KK6k76IQwtf+OW/hrXWJhBv1mPz1OfabM+wkW+0816lmgSrRc/jpJ7jvPs9rgwH69fMsFNqixU1GLoQQt56v5m5Hjx4lLi6O9evXs2HDBk6dOgV4FnKsVasWsbGxdOjQgT59+lzzXOPHj2fWrFncf//9vPbaazRu3Ni7LyEhgZdffpmffvqJsWPH8vrrrxfZPRUGp9NJ7dq1OXXqFNu3b6dJkyaAp71Ly5YtOXr0KAcOHChwm0iZmwshigtzhoN9p8xYbU5CA/TotWrsTjep6XaMBi0Nom6wdUrr1vDrr57Xdet65uWPPQbymSeEKGGK1cKiAD/++CPPPvssR44cAfBWrGQlzqtVq8bbb7/Nvffee13nDQkJ4ZFHHuHdd9/Nc8yIESNYsmQJFy9evLHgSwCZqAshbpbD4WD3STMXrY4bWsDH5XLxTtwh/j5tydYTPctfp9OoHxXEiA7Vr/0UktvtSZonJ3sm41nbOnf2fA0dCiWgslEIIfJSXOZuhw4dYsOGDcTFxbF27VpSUlJQqVQ4ndd+aigzM5MHHniAdevWoVKpMBqNlC1blvPnz2O1WlEUhbvvvpsffvgBP7/cW30VJ3FxcXTp0gU/Pz/69etHUFAQy5Yt49ixY8yePZvnn3++wOcqLt9fIcTtTVEU9p4yk2TOJNLkn2P/GXMGkSF+NKhgyr+o8fRp+PhjT8V51voQS5bAt996kucdOnjWJioAt9vN8ePHAahcuTJqWb9ICOFjxWph0U8//ZQnnngCt9tNq1at6NSpE5UqVQI8leLr1q3j119/pVu3bsybN4/BgwcX+Nx2ux2j0ZjvmMDAQOxZPXOFEELkEHfgLF/8epzjyenePomVwwPo36oysbXLFegcGo2Ge+qX54z5GH+dTiMq1A9/vYYMu4tTqZmEGHV0qlcu/wR6cjJ8+im8/z4cOeJJlPfuDX5+ngVCf/mlkO5YCCGE1Wrl0KFDJCYmcuDAAVJTU1EU5Zpz6yx+fn6sXbuWhQsX8tlnn7Fnzx6OHz+OyWSiRYsWPPbYYwwaNKjEPJofGxvLli1bmDRpEl999RUOh4OGDRsyc+ZM+vbt6+vwhBDiulntLlIsdkIDcj4lChAaoCf5kh2r3UWg4ar0kKLApk2edYi++w6cTggKgjFjPPsHDPB8XaeMjAyqVq0KgMViKfC/OUII4WtFXol+6NAh6tevj8lkYsmSJdx99925jlu3bh0DBgzAbDbz559/Ur169QKdv0mTJthsNvbu3YtWm/N3Ak6nk0aNGqHX60lISLiZWynWpNpFCHGj4g6c5X8/H8Sc7iTSZMCo12C1uzhjtmEK0PKfe2oVOJEO8NcZMz//mcSRC+k4nG50WjXVyxrpVK8c9SJNuR+0c6dngv7ll5CZ6dkWEgJDhsCrr3peCyFEKeKLuVtmZibx8fHedi6///47DocDf39/2rRpQ2xsLLGxsbRo0SLXebUoOJmbCyGKg4vpdnYeTaVskAF1Lr/QdLkVLlhsNK8SSkhWov3SJc/aQ+++C3/+eXnwXXfBhAlw//03FZPVaiUw0NPaUZLoQojioNhUos+ZMwe3282KFSto1apVnuM6derEihUraNOmDXPmzOGdd94p0PkHDhzICy+8QJcuXZg1axbNmjXz7tu5cycTJkzgwIEDzJ49+6bvRQghShuHw8EXvx7HnO6kTuTlfyxMWi2mAAP7z6Tx1W/HuataWIFbu9SLNFE7IpBjKRlYbU6MBi3RYf55V6DPmgXjxl1+36SJ57HQAQMgIOAm7k4IIcSVQkNDsdvt6PV6WrVqxUsvvURsbCytW7dGr8+9SlEIIUTJpdWo0apV2J1u/HQ55+IOlxutWoVW829LlfR0qFrV83QoeObijz7qWSz0inUvhBDidlTkSfRffvmFTp065ZtAz9KyZUvuvvtufv755wKff9SoUWzatIkffviBli1bEhAQQEREBOfOnSM9PR1FUejRowejRo26mdsQQohSafdJM8eT04k0GXLdH2kycPRCOrtPmmlZteA9yDUaTd6Lhx475nkcNOuJo27dYOJEePhhT/L8zjsL3FNRCCFEwdlsNgBatWrF/fffT8eOHWnWrNlNt1s5evQoixcvJiEhgbS0NIKDg2nSpAmPPPJIgRfiFEIIUfiMeg1hgfo8e6JfTEun2uE9GGvf59kQEACdOsHu3Z7E+eDB8kSoEEL8q8iT6CdPnqRXr14FHt+kSRM2b95c4PEajYbly5fz2WefsXDhQhISEjh+/DjBwcG0atWKQYMG8VjWonRCCCGyuWh14HS5MepzrxL312s4f8nGRavj5i7kdnv6mb/7LqxcCX37ehYjAqhXD5KSLi9SJIQQokh89913xMXFERcXx4QJEwAIDg6mffv2dOzYkY4dO9KwYcPrOufcuXMZO3YsTqeTK7tELlu2jKlTpzJr1iwpZhFCCB9RqVREhxu5lOnkjDmD0AA9Oo0aJSmJwEULaL90EYYzp2D/fqhd23PQhx9CcLBnPSIhhBBeRZ5E12g0OJ3OAo93Op35LzqXh4EDBzJw4MDrPk4IIW5nIUYdWo0aq92FKZf+txl2F1qNmhBjwVq55HDxIixYAO+9B4mJ2be73Zcn55JAF0KIItejRw969OgBQHJysjehvnHjRlasWIFKpSI8PJzY2Fi++uqra55v5cqVjB49mjJlyjB69GhiY2OJjIwkKSmJuLg43nzzTcaMGUONGjXo2rVrUd+eEEKIXJj8dTSIMnHsggXnlq2UW/wp5dauQO34t0imTBnPPD0riS6V50IIkasiX1i0cePGBAYGEh8fX6Dxbdu25dKlS+zZs6cowyp1ZPEiIcSNcDgcjPwigYNJlmw90bPsP5NGnchA3u7XpMA90b2mTPH0O09P97wPCvI8EjpiBNSpc/PBCyFECVac5m6nT5/miy++YNasWZw/fx6VSoXL5brmcR07dmTPnj0kJCRQsWLFHPtPnDhB06ZNady4MevWrSuK0Iut4vT9FUIIEhNR+vRBlZDg3aS0aoVq5Ejo3Rv8/G5ZKLKwqBCiuCk2C4vee++9zJ49m5UrV9KtW7d8x65atYpt27bx4osvXvd1XC4XJ0+e5PTp0zgcubcdaN++/XWfVwghSjOdTkf/VpX5388H2X8mjUiTAX+9hgy7izNmG6YALX1bVi5YAt1u9/QyzxobEOBJoDdo4Ol1/uijEJhHn3QhhBC3zPnz571V6HFxcST++6SQoihERkYSGxtboPPs2rWLRx55JNcEOkClSpXo06cPS7LadwkhhLh10tM983GAihVRHT/uSZb37w8jR6Jq1swnYWm1WkaMGOF9LYQQJUWRf2KNGTOG999/n379+vH2228zePDgHIsXKYrCwoULefbZZwkMDGT06NEFPr/b7Wb69OnMnTuXlJSUfMcWpKJGCCFuN7G1ywHwxa/HOZ6czvlLNrQaNXUiA+nbsrJ3f55OnvT0Tvz4Y3jzTRgwwLN92DBo1QratZOFQoUQohh47rnniIuL46+//gI8c/CIiAh69+5NbGwssbGx1KpVq8Dns9vt16wgDAwMxG6331TcQgghCsjlgtWrPesQHTsGf/7paZ/o7w/ffuspbgkP92mIBoOBd99916cxCCHEjSjydi4Aq1ev5qGHHsJutxMVFUWHDh2oVKkS4HnMc8OGDZw6dQqdTseyZcuuq2fiuHHj+O9//0tERATdunUjMjIyz99mTpo0qVDupziSR0aFEDfL4XCw+6SZi1YHIUYdTSua8q5AVxSIi/NM0L//3jNhB+jRA5Yvv2UxCyFESeWLuZtarSY8PJyYmBhv0rxevXo3fL4mTZpgs9nYu3dvrvNvp9NJo0aN0Ov1JFzRQuB2IHNzIcQtdeECfPIJvP++J3kOniKWHTvARxXnQghRUhSbdi4A999/P1u2bGHUqFFs3bqVRYsW5RjTpk0b5s6dS7Pr/IBfuHAhtWvXZseOHd6+WkIIIa6fTqejZdUy+Q9SFE/i/L334O+/L2+PifG0bOnZs0hjFEIIceMSEhJo1KhRoZ1v4MCBvPDCC3Tp0oVZs2Zlm8fv3LmTCRMmcODAAWbPnl1o1xRCCHGFv/+GGTPgq6/AZvNsCwuDoUPh6aehWjXfxpcLRVG4cOECAGXKlMnRqUAIIYqrW9aAqlmzZmzZsoVDhw6xdetWkpKSAChfvjxt2rShRo0aN3Rei8XCo48+Kgl0IYS4FVQq+OYbz4TdaISBAz0LhTZo4OvIhBBCXENhJtABRo0axaZNm/jhhx9o2bIlAQEBREREcO7cOdLT01EUhR49ejBq1KhCva4QQoh/JSXBZ595Xjdr5ilq6dfP076lmEpPTyciIgKQhUWFECXLLV/FoUaNGtkS5k6nk71797J7924aNGhQsMXrrtCoUSNOnz5d2GEKIYRwODytWT76CBYvhn8nu7z8MvTu7UmgyyPqQghR4hw9epTFixeTkJBAWloawcHBNG3alAEDBlClSpUCn0ej0bB8+XI+++wzFi5cSEJCAsePHyc4OJhWrVoxaNAgHnvssaK7ESGEuJ0cOeJp1xIYCK++6tnWoQOMHQsPPggtW8o6REIIUYSKvCf6kSNHiIuL46677sqxUNHKlSsZNmyY91Ge0NBQ3nvvPfr06VPg869atYrevXuzZcsW7rjjjkKNvSSRvotCiEJz5owncf7RR5D1S8rXXoOXXvJtXEIIUYr4au42d+5cxo4di9Pp5OofA3Q6HbNmzZLK8UIgc3MhRKFwu2HNGk87xdWrPa0VTSY4dcrzVGgJZLVavZ0EpBJdCFEcFJue6B9//DEzZ87kn3/+ybb90KFD9OnTh8zMTKKjozEajfz999888sgj1KxZk6ZNmxbo/F27dmXBggXcd999dO/encaNG+d5wwMHDrzp+xFCiFJJUWDzZs8E/dtvwen0bC9XDh5/3FN1LoQQokRbuXIlo0ePpkyZMowePZrY2FgiIyNJSkoiLi6ON998kzFjxlCjRg26du3q63CFEOL2lZIC8+d7Ks8PH768vXNnT8sWPz/fxSaEELepIq9Eb9++PVarld9//z3b9meffZZ3332XkSNH8vbbbwOwfPlyHnzwQYYMGcInn3xSoPPbbDaGDx/OkiVLvNU0Vy9MoSgKKpUKl8tVCHdUPEm1ixAli6IoWO0unC43Wo0ao17j20V1kpMhKurygkRt23om6A89BHq97+ISQohSyhdzt44dO7Jnzx4SEhKoWLFijv0nTpygadOmNG7cmHXr1hX4vC6Xi5MnT3L69GkcDkeuY9q3b3/DcZdEMjcXQtyUsWPhv//1vDaZYMgQz0KhVz3dXxJJJboQorgpNpXoR44coVu3bjm2//TTT+j1eqZPn+7d1rNnT9q1a8fmzZsLfP4xY8awePFiGjVqxMMPP0xkZCRa7S1v9S6EEAVmznBwLNlKisWO062gVasIC9QTHW7E5H9960LcsP374ccfYfRoz/vwcBg61FOBPmIENGlya+IQQghxy+zatYtHHnkk1wQ6QKVKlejTpw9Lliwp0PncbjfTp09n7ty5pKSk5Du2NBezCCFEXgpUOGOzwTffeBLkLVt6tj35JPzyiydxPmBAiW3dIoQQpUmRZ5vPnz9PmTJlsm1LSUnh8OHDtGvXjqCgoGz7mjZtys6dOwt8/m+++YZmzZqxbds2SZ4LIYo9c4aDfafMWG1OQgP06LVq7E43SeZMLmU6aRBlKrpEutMJK1Z4WrZkVRh26gSNGnlev/de0VxXCCFEsWC3269Z8RcYGIjdbi/Q+SZMmMB///tfIiIiGDJkiBSzCCHEFa5ZOHP8OHzwAcybB+fPQ69enraKANWrw65dvr0BIYQQ2RT5LFen05GcnJxtW1Zrl+bNm+cYf72P8mRmZhIbG1tsJ+wzZ85k/PjxAGzbto3WrVtn25+WlsbkyZNZtmwZSUlJREZG0rt3byZNmuR9xEkIUTooisKxZCtWm5NIk793u59OQ6TJnzPmDI6nWGlQwVS4rV3OnvVMzj/8EE6c8GxTq6FbN/BlCxkhhBC3VK1atVixYgXTp0/Pde7sdDpZuXIltQrYLmDhwoXUrl2bHTt2yLxVCCGukGfhTGo66l9+IWDZZ+hWr/IsHApQsaKnCl1RSv38XKvVMmjQIO9rIYQoKYr8E6tWrVo5eiquXbsWlUpFmzZtcow/ffo0kZGRBT5/s2bNOHTo0E3HWRT27dvHpEmTMBqNWK3WHPutVisxMTEkJCTQuXNn+vfvz+7du5k9ezYbN25k06ZN+MmCIUKUGla7ixSLndCA3HuMhwboSb5kx2p3EWgopI/nbdsgJgayetSWKQPDh8NTT0F0dOFcQwghRIkwcOBAXnjhBbp06cKsWbNo1qyZd9/OnTuZMGECBw4cYPbs2QU6n8Vi4dFHH5UEuhBCXCG/wpnWY4YR/MtPlwd37OhZh6h7d7hNEsoGg4EFCxb4OgwhhLhu6qK+wEMPPURiYiJPPfUUe/bsYenSpXz00UcEBgZy77335hgfHx9PjRo1Cnz+6dOn89NPP7Fy5crCDPumORwOBg0aRJMmTejVq1euY2bNmkVCQgLjxo1jzZo1zJgxgzVr1jBu3Dh27NjBnDlzbnHUQoii5HS5cboV9NrcP3p1GjVOt4LT5b7xi6Snw549l983awZhYdCqFXz2macS/fXXJYEuhBC3oVGjRtG9e3fi4uJo2bIlQUFBVK9enaCgIFq1asW6devo3r07o0aNKtD5GjVqxOnTp4s4aiGEKFmuLJzx+3sfqox07z5L+1hcgYGcfGQo1oQ9nhaLDz542yTQhRCiJFMpiqIU5QXS09O588472bt3r7c9gaIovPnmm/znP//JNnbnzp20bNmS//73vzz//PMFOv/UqVPZvn07a9asoWPHjjRu3DjXlVRVKhUTJ0686fspqMmTJzNjxgx27drFrFmzWLhwYbZ2LoqiULFiRdLS0khKSsrWxsZqtVK+fHkiIiI4fPhwga5X0JVkhRC+Y7E52XkkBaNBi59Ok2N/psOF1eakedWw669EP3TI09N8/nwwmeDwYdD8e41z5yAiohDuQAghRGHx5dzt888/Z+HChezevZu0tDSCg4Np2rQpgwYN4rHHHivweVatWkXv3r3ZsmULd9xxRxFGXPLI3FyI29fFixZOzFtM1a8XELhjOyf/+zap/TyfraqMdNwOJ+fQ07xKKCF5PKFamimKQnq65xcLAQEBhdvGUgghbkBB521F/uvOgIAA4uPjmTNnDtu3byc8PJzevXvzwAMP5Bi7a9cuevToQffu3Qt8/smTJ3tfr1u3LkfrmCy3Mom+a9cuXnvtNaZOnUq9evVyHZOYmMjp06fp0qVLjj7wRqORtm3bsmbNGk6cOEGlSpVuRdhCiCJm1GsIC9STZM7M9mhnltR0O5Ehfhj1ORPsuXK5YPVqz0Kha9Zc3h4WBseOQbVqnveSQBdCiNvatm3bePnll9mxYwcqlYqWLVvy2muv0apVq5s6b9euXVmwYAH33Xcf3bt3z7OYBTytZIQQolQ7eRI++ojgjz6i4dmzAChaLfrjx7xDFP8AbFoXWpsTrabIGwMUS+np6d42YBaL5brXxRNCCF+5Jc8MBQYGFiiB/cQTT/DEE09c17nj4uJuNKwiYbPZGDhwIE2aNGHs2LF5jktMTASgZs2aue6vWbMma9asITExMdckus1mw2azed+npaXdZORCiKKmUqmIDjdyKdPJGXMGoQF6dBo1Dpeb1HQ7RoOWymHGglVjrFoFzzwDR49mnRzuvdez7d57PQuHCiGEuO3t3buXTp06kZmZ6d22fv16OnXqxG+//ZZnwUdB2Gw2VqxYwYULF/jkk08AcvwbpigKKpVKkuhCiNLL6YT+/eG778DlQg04Ispz/KFHsA8djrN89jXfrrtwRgghRLFQ4htvxcTE+DqEbF599VUSExP5/fff0Wjy/kfRbDYDYDKZct2fVcWTNe5qr7/+OlOmTLnJaIUQt5rJX0eDKBPHkq2kWOw43QpatYrIED8qhxkx+evyPthuB/2/j3yGhXkS6KGhMHQoPP00VK9+S+5BCCFEyTFjxgwyMzN5+eWXefbZZwF49913mTZtGjNmzOCzzz674XOPGTOGxYsX06hRIx5++GEiIyPRSl9fIcTt4Mp5uVYLaWmep0Tbt4eRI0m/txtJ59Kx2pyEOlw3XjgjhBCi2JBZbiHatm0bs2fPZvLkyTRo0KBIrzVhwgTGjBnjfZ+WliZtX4QoIUz+OhpGmbDaXThdbrQaNUa9JveJdGYmfPWVp2VL8+aevucArVvDN9/A/fdDQMCtvQEhhBAlxubNm7nrrruYNm2ad9uUKVPYsGEDGzduvKlzf/PNNzRr1oxt27ZJ8lwIcXv46y/PfHzJEti7F6KiPNtnzoTZs6FhQwBMQAOd7sYKZ4QQQhRLMtstJE6nk0GDBtGoUSPGjx9/zfFZFeh5VZpntWfJq1LdYDBgMBhuMFohhK+pVKr8Fw89ehTefx8++QSSkz3bDh+G//3PU/WiUsHDD9+KUIUQQpRgZ8+epV+/fjm2t2rVil9//fWmzp2ZmUlsbKwk0IUQpZvTCd9/7ylqubKd7JdfwvPPe143aZLjsOsqnBFCCFHsyYy3kFgsFm+fc70+9xW277zzTgC+++47b//JrGOudq2e6UKIUmrDBnjjDU/Pc0XxbKtcGZ56CoYNu/zYqBBCCFEADofDu4DblYxGIw6H46bO3axZMw4dOnRT5xBCiGLLbIa33oIPP4RTpzzb1Gro3h1GjoROna55imsWzgghhCgx5NO8kBgMBoYNG5brvk2bNpGYmEj37t0pW7YsVapUoWbNmlSoUIH4+HisVmu2FamtVivx8fFUrVpVWrQIcbv55RdYudLz+p57PBP0bt0gnzUWhBBCCF+YPn06nTp1YuXKlXTr1s3X4QghROFSFJgxA9LToWxZePxxePJJT4GLEEKI244k0QuJv78/8+bNy3Xf4MGDSUxMZMKECbRu3dq7ffjw4UydOtW7sFOWadOmYbFYeOmll4o8biGED+3e7XkstHdv6NLFs+3JJ8Fi8SwUWru2b+MTQghRKixatIjt27dn25ZVQX7//ffnGK9SqVi1atU1z/vzzz/ToUMHevToQceOHWncuDHBwcG5nm/ixIk3GL0QQtwCFounz3l8PCxc6NkWEgLTpkG5cp42itJOtVBoNJr/Z+++w6Oo3jaOfze9NwgQWkLvVUB6h6AgRUDKT4ogioAiYkNRsCCoVAVRQboUFURs9BJBelWatASk1/Seef/YNytrEkgwySZwf67Ly+yZM7PPzmzC2WfPPIdu/1+W0l4ThUQkHzEZRmq9AMkp/fv3Z/78+Wzfvt0qiR4dHU2jRo04ePAgbdu2pXbt2uzbt4+1a9dSt25dtmzZgqura6aeIyIiAm9vb8LDw9P98CIieUR8PHz3nTl5vn27ue2RR+CXX2wbl4iI5KrcGrvZ2dlleR+TyURycnK2HTuzx7ufaGwukk/89Zd5odC5c+H/1yVj506oV8+2cYmISK7J7LhNM9FtyN3dnS1btjB27FiWL1/Opk2bCAgIYOTIkYwZMybTCXQRyQfOnYPPP4fZs+HKFXObg4N5VsvQobaNTURE7ltnzpzJsWNvun2BPRGR/CI52Vw+ccYMWLfun/ayZc13g5Yvb7vYREQkz7pvZqLv37+fJUuWcOzYMWJiYli/fj0AYWFh7Ny5k9atW+Pn52fjKHOOZruI5HF16sDeveafixUzl20ZNAiKFLFtXCIiYhMau93fdH1F8rCffoLHHjP/bDKZ1x8aOtS8HtE93L0jIiL52wM1E/3VV19l0qRJpH4fYDKZLNsMw6B3795MmjSJ4cOH2ypEEXmQhIfDggXQvz94eprbBg8211kcOhQ6dTLPQhcRERERkZxjGObyLJcuQefO5rZ27aB2bXPSfPBgCAqyZYQPnOjoaDw8PACIiorC3d3dxhGJiGROvv+ade7cuUycOJEOHTpw6NAhRo0aZbU9KCiIevXqsWrVKhtFKCIPjD/+MA/EixWDF16AhQv/2TZwIGzcCF27KoEuIiIiIpKTYmJgzhx46CFo0ACGDIHERPM2BwfYswcmTFACXUREMi3fZ3I+++wzKlWqxPLly3FwcMDJySlNn4oVK1rKu4iIZKvERFixwlxT8bff/mmvXBn8/f95fNsdMiIiIiIikgNOnYKZM80J9Js3zW3OztC2rXnh0AIFzG0am4uISBbl+yT6kSNHGDRoEA53mNlZuHBhrqQu5Ccikl1iYqBCBfj7b/Nje3vo0sVcsqVZMw3ORURERERyyyefwIsvmku4AJQqZV4odMCAf5LnIiIi9yjfJ9EdHBxISEi4Y58LFy5Yam6JiNwzwzCXbKle3fzYzc18i2hSEjzzjPm/YsVsG6OIiIiIyIPg+nWIjYXixc2PmzY1//+RR8yTWtq1M09yERERyQb5PolerVo1Nm7cSHJyMvbp/AMZExPD+vXreeihh2wQnYjcFyIjzfXNP/sMjhwx3yZaqpR52+efg58fpFNKSkREREREstmePeZSikuWQK9eMHeuub1mTQgLgxIlbBqeiIjcn/L9wqIDBgzgr7/+YvDgwcTHx1tti4iIoH///ly6dIlBgwbZKEIRyayUlBQuR8QRdj2ayxFxpKSk2DagI0dg2DDz7PKhQ+HwYfPs8/37/+lTpIgS6CIiIiIiOSkuDubPh4cfhrp1Yd48iI+Hv/6C2z8zKIEuIiI5JN/PRB8wYADr16/nq6++YtmyZfj4+ABQr149jh49SnR0NP3796dbt262DVRE7ujczRh2n7nO3zdiSUgycHIwUdzPlbqlClDC1y13gzl9Gp5+GjZt+qetQgUYMgT69QNv79yNR0REJA/bv38/S5Ys4dixY5a7QAHCwsLYuXMnrVu3xs/Pz8ZRiki+NXkyfPCBuXwLmCewPPGEeZLLww9rHaJ8xt7enkcffdTys4hIfpHvk+gAixcvpkWLFkyfPp0///wTwzDYs2cPlSpV4oUXXuDZZ5+1dYgicgfnbsbwy6GL3IpJJMDbBVcne2ITkjlxOZqrkQk8Wj0g5xPpSUmQukBxoUKwdy/Y2UHHjuYBeqtWGqCLiIj8y6uvvsqkSZMw/n8hP9Nt/1YahkHv3r2ZNGkSw4cPt1WIIpLfpKSY1yJKTbDGxJgT6CVLwuDBMHCgebwu+ZKLiws///yzrcMQEcmyfF/OJdWgQYM4ePAgUVFR/P3330RERHD48GEl0EUykJyczOmrUfzx9y1OX40iOTnZJnGkpKSw+8x1bsUkUr6wJ54ujjjY2eHp4kj5wp7ciklkT+iNnCntYhiwdau5luLDD5sfA3h4wOLFcOYMfP89tG6tBLqIiMi/zJ07l4kTJ9KhQwcOHTrEqFGjrLYHBQVRr149Vq1aZaMIRSRfuXkTpkwx3wG6cuU/7c88Y3586hSMGqUEuoiI2ES+n4keEhJCUFAQJUuWBMDV1RVXV1erPufOnePMmTM0TV2tW+QBd+RiOD/vP8uecxHExifj6mxPnRJetK9VksoBuVuq5GpUAn/fiCXA2yXd7QHeLpy7HsPVqAQKe6XfJ8uio81J8unT4dChf9r37oU6dcw/t2+fPc8lIiJyn/rss8+oVKkSy5cvx8HBAad01gipWLGipbyLiEi6DhwwLxT69dcQG2tumzsXunY1/1yoEHTqZLPwRERE4D6Yid6iRQvmzZt3xz4LFiygRYsWuROQSB535GI47606zNc7zvHHuXBOXI7ij3PhfL3jHO+tOsyRi+G5Gk9cYjIJSQauTunXw3NxtCchySAuMRtmyoeGwogR5oVCn3nGnEB3cYEBA6wT6CIiInJXR44coU2bNjg4ZDwvp3Dhwly5ciUXoxKRfMEwYMkSaNQIatWC2bPNCfRq1eDzz2HpUltHKDkkOjoad3d33N3diY6OtnU4IiKZlu9noqfWX7yTlJQUq/qMIg+q5ORkpm/4i/1nbxL3r5x0DLD/7E1mbDjBJ71q5doiLy6O9jg5mIhNSMbTJe33enGJyTg5mHBxzIZ4jh2DqVPNP5cpA889B089BVrsTEREJMscHBxISEi4Y58LFy7g4eGRSxGJSL5hMsG0abBzp3ldoq5dzesQNW6sMooPgJiYGFuHICKSZfk+iZ4ZJ06cwNs7d0tUiORFJy6F8/vJa2kS6KnikmHbqaucuBROxWK5k1j293CiuJ8rJy5H4+nimGb7xfA4yhfxwN8j7S3id3T1Knz1FTg7m2efA7RtC08/DY8/DsHB5oVDRURE5J5Uq1aNjRs3kpycnO6X7zExMaxfv56HHnrIBtGJSJ5hGLBxI3z5pXmWua+vuf311813hg4aBAEBto1RRETkLvJlEn3AgAFWj1euXEloaGiafsnJyZw7d46QkBAeeeSRXIpOJO/afvoGt+LuvEDnrdgUtp++kWtJdDs7O+qWKsDVyAT+uhxJgLcLLo72xCUmczE8Dh83R+oE+WFnZ0dCQgLbz9zkRlQCfh5ONCjla11/1TBg1y5zTcVlyyAhAQoWNM84d3ExJ81nzcqV1yUiInK/GzBgAE8//TSDBw9m+vTpVtsiIiJ4+umnuXTpEtOmTbNRhCJiUxERMH8+fPaZ+Y5QgIcfhpdeMv/cubP5PxERkXwgXybRb6+BbjKZOHDgAAcOHEi3r8lkom7dukyZMiV3ghPJw06fv5SFfmVzNpjblPB149HqAew+c52/b8SSkGTg5GCifBEP6gT5UcLXjZ8PnWfh72H8fSuWpOQUHOztKO7jSp+GgbQv52eumzhjhrm2eao6dcy3hWrGuYiISLYbMGAA69ev56uvvmLZsmX4+PgAUK9ePY4ePUp0dDT9+/enW7dutg1URHLXn3+ax+ULF0JqzWsPD+jbFzS5TURE8ql8mUQ/c+YMYK6HXrp0aV588UWGDx+epp+9vT2+vr64u7vndogiedKaQ5lbNHTNoXDe65nDwfxLCV83inm7cDUqgbjEZFwc7fH3cMLOzo6fD51n0trjRMYlU8jDCTcne2ISkjl1LZpJa49TadI3lF7whflAzs7Qo4c5eV6vXu6+CBERkQfM4sWLadGiBdOnT+fPP//EMAz27NlDpUqVeOGFF3j22WdtHaKI5KYbN6B2bUhMND+uVMk8Lu/TB7y8bBubiIjIf5Avk+iBgYGWn+fOnUutWrWs2kQkfVfuXMkly/2ym52dHYW9XKzaEhISWPh7GJFxyZQt5IkpJYUah3dww7cQZ4uX5eSVSGaUasrEwNWYnnsOBg40l3ARERGRXDFo0CAGDRpEbGwsN2/exMvLS4uJijwoLlyAtWuhf3/zYz8/eOIJiIszJ8+bN9dCoSIicl/Il0n02/Xr18/WIYhIDtp+5iZ/34qltCmO9mtX0WbL9xS+dp5tddsw/el3KeThxM64woT8up1mlbQgkYiISG4JCQkhKCiIkiVLAuDq6oqrq6tVn3PnznHmzBmaNm1qixBFJCcYBoSEmEu2fP89JCVB/fpQsaJ5+4IFKqcoGbKzs6NZs2aWn0VE8ot8n0RPFRcXx+7du7lw4QLx8fHp9unbt28uRyUid2MYBtEJyZY65+5O9phum62SsnsPr337KcF/bMIpMQGAKDdPrvkVAcPAxcme69EJ3IhJstVLEBEReSC1aNGCMWPG8Pbbb2fYZ8GCBbz99tskJyfnYmQikiOiosx1zj/7zFz3PFXjxuZtqZQYlTtwdXVl8+bNtg5DRCTL7osk+owZM3jrrbcID0+/3rNhGJhMJiXRRfKY8NhEwq5HcyMqgaQUAwc7E34eTgQWcMfb1RF69aLF0qWW/qElyrG2eTe21WtLgpO57EtcQjIO9nb4eTjZ6mWIiIg8kAzDuGuflJQUqy/HRSSf2rULWreGyEjzYzc3ePJJGDIEatSwbWwiIiK5IN8n0VesWMHzzz9PtWrVeOuttxg5ciSdO3fm4YcfJiQkhF9//ZWuXbvSoUMHW4cq8kBLSUnhSmQ8N6MTsLcz4eZkT+j1GGISkvF1c8LJwQ7Cwrgc60NkXBJVi3nj/dBDGMuXs7VWC+bVeISYhx5OU1PxSlQCZf3daVDK10avTERERDJy4sQJvL29bR2GiGRVUhKcPQulS5sfV68OTk5Qvrw5cd6vH/j42DREERGR3JTvk+hTp06lUKFCbN++HTc3N0aOHEnNmjV57bXXeO2111i8eDH9+vVj6NChtg5VJF85dzOGEr5u/+kYhmEQFZ/EsUsR7Dx9ndCrUcQmpmBvb4cdUNTHlSZlC1Lw9y0UmD8Lzw1r+Hvq5xxt+Rhnb0RTddAgTH36EHE5iTNrjxN5NYpCHk64ONkTl5DMlagEPF3sebJBIE5OmokuIiKS0wYMGGD1eOXKlYSGhqbpl5yczLlz5wgJCeGRRx7JpehE5D+7fBlmzYIvvgBXVzh2zFyexcUFdu6EUqVUrkX+k+joaIKCggAIDQ3F3d3dtgGJiGRSvk+iHzp0iCeeeAI3t3+SfbfXXOzduzfz58/n3XffpXnz5jaIUCR/+uXQRR6tHnBPifSUlBROXYliT9hN/jwfztGL4UTEJeHp7EgJPzfcnRy4fPYSdX/4lYpbV+J7PtSyr+uhA/h26Mr1yASiC/rh4e1N+8LmbQt/D+PvW7Fcj07Awd6Osv7uPNkgkPbVi2XTqxYREZE7mTdvnuVnk8nEgQMHOHDgQLp9TSYTdevWZcqUKbkTnIjcG8OA3383LxT63XeQmGhu9/eHM2egTBnz49T/i/xH165ds3UIIiJZlu+T6ImJifj7+1seu7q6cuvWLas+NWrU4Msvv8zlyETyt1sxiewJvUExb5dMrZqeukBo6NVIfv7jArtDb3ItKpG4hCRSklPw9XDGyd6O67ei6fbdFB7e9ivOCXEAJLp7Ev5EL270fZr4suVxTDFISjFISk6xHL999WK0qejP9jM3uRGVgJ+HEw1K+WoGuoiISC46c+YMYP53v3Tp0rz44osMHz48TT97e3t8fX01w1Akr9uwAV5+GW7/Mqx+fRg6FLp3B2dnm4UmIiKSl+T7JHrRokW5ePGi5XFgYCD79++36hMWFoaDQ75/qSK5KsDbhXPXY7galUBhL5c79k1dIHT7qeus/uMC527FkZScjKOdieQUAyMlhfC4RJwc7fB0dqTA+TCcE+K4ULwMG1p2I6pbD2pXLYmbo/n3NDE5BQc7Ew721sl7JycnmlUonGOvWURERO4sMDDQ8vPcuXOpVauWVZuI5AMpKf+UZHFwMCfQXVygd29z8rx2bZuGJyIikhfl+2JmdevWZd++fZbH7dq1Y9u2bYwfP57Dhw/zxRdfsGLFCurWrWvDKEXyHxdHexKSDOISk+/YLzw2kT/Ph3Pw3E02H73C1ah4XBzscHWwp0jkdZ5Zv4BfpvbHO+Imt2KSSEhK5tsuz/LeK5/xzntfs6nF40Q6upKcbFiOeTMmgQKeTrg72ef0yxQREZF71K9fP6pXr27rMNI4cOAAb7zxBsHBwfj7+2MymTJV1vHrr7+mXr16uLu74+vrS4cOHaw+Z4jka8nJsGoVBAfDK6/80960KXz5JZw/D199pQS6iIhIBvL99Ozu3bvzxhtvEBoaSlBQEKNGjWL58uWMHj2a0aNHYxgG3t7efPTRR7YOVSRfiUtMxsnBhItjxolswzAIux5NZGwCZ6/HcDM2AS9nRyod30PHbT/Q6Mg2HFLMJVnaHVjPt82eIC4xhb9KV8PVyQF7E8THJ2EPmEzm57wZk4C7swMl/dwxmUy59GpFRETkXsXFxbF7924uXLhAfHx8un369u2ba/GsXLmS8ePH4+TkRPny5TNVe3fcuHGMHj2awMBABg8eTGRkJEuXLqVhw4Zs2LCBRo0a5ULkIjng6lVzcvzzzyEszNy2ezeMHw9OTuZB+KBBto1RREQkH8j3SfQuXbrQpUsXy2N/f38OHDjA7NmzOX36NIGBgfTp04dixbTwoEhWXAyPo3wRD/w9Mq45Hp2QzI2oBEwmEzev3KTztu95dOtKSl4Os/TZG1SdRXU6sLl8fZxSDBJTDFIMcHG0wzAM/Dyc8HV3ICouCUd7OwJ8XCjp5463q2NuvEwRERH5D2bMmMFbb71FeHh4utsNw8BkMuVqEr179+507NiRatWqcf36dQICAu7Y/8SJE4wdO5by5cuza9cuvL29ARgyZAj169dn0KBB/Pnnn5laI0Ykz9izBz75BL75BlK/3PLzg4EDYfBgcwJdREREMi3fJ9HT4+vryyu336ImIlnm4+ZInSC/O35gTEpOISnFwADsE+IZ8MNMnJISiHF2ZU3tNqx8uCMnCwcSn5BCbHwiJKaQnJxCUnIykXEJFHR3oUn5gjxcuiBuTvY42Nvh7mSvGegiIiL5wIoVK3j++eepVq0ab731FiNHjqRz5848/PDDhISE8Ouvv9K1a1c6dOiQq3FVqVIlS/3nzp1LUlISb775piWBDlCzZk169erFvHnz2Lp1K02bNs3uUEVyzrJlsHCh+ec6dcy1znv0AFdX28YlDzw7Ozvq1Klj+VlEJL/I93+xWrZsyYIFC+7YZ9GiRbRs2TKXIhK5PzxaPYASvm7pb0xMhG+/xe3VkTjYmTABdgUL8Msjffis63D6v7eCmd1f4mThIFJSwMPZHkcHezClEJuQhAkoVcCDR2sE0LJSEYr6uOLj5oSHs4MS6CIiIvnE1KlTKVSoENu3b2fEiBGAOfH82muv8fPPP7No0SJWrlyZ5xce3bx5MwBt27ZNsy04OBiALVu23PEY8fHxREREWP0nkmtOnzbXOQ8J+aftueegb1/YudNcvqV/fyXQJU9wdXVl9+7d7N69G1e9J0UkH8n3M9E3b95814WCwsLC7jrwFRFr6SbQL140Lzz05Zdw4QJOQNGOT3A6oAxFfFxZ0/05wmMTuBWdgL0JnOwgEbgVl4i7kz01intTv3RBapTwoWxhDzxdHJU0FxERyacOHTrEE088gZvbP2OG5OR/FiTv3bs38+fP5913383Uwp62cuLECTw8PChSpEiabeXKlbP0uZPx48fzzjvv5Eh8IulKSYE1a2D6dPj1VzAMOHnSvFAoQOnSMH++bWMUERG5j+T7meiZER0djaNjztZXPn/+PFOnTqVt27aULFkSJycnihQpQteuXdm5c2e6+0RERPDSSy8RGBiIs7MzQUFBvPLKK0RFReVorCJZYhjw22/QsyeULAljx8KFC1CoELz5JkXKBeHp6kRBTxf8PJzwcnGkgJsTSckGhgH2diYC/dzp1zCItztWpX/jUtQO8sPL1UkJdBERkXwsMTERf39/y2NXV1du3bpl1adGjRrs27cvlyPLmvDwcKsyLrfz8vKy9LmTUaNGER4ebvnv3Llz2R6nCAA3bsCkSVC+PDz6KPzyi3m83ratud65iIiI5Ih8ORP97NmzVo9v3bqVpg3MM2HOnTvH8uXLCQoKytGYPv30Uz788EPKlClD27Zt8ff358SJE6xcuZKVK1eyePFievToYekfHR1Ns2bNOHDgAG3btqVXr17s37+fiRMnsmXLFkJCQnBxccnRmEUy5eef4bHH/nncsCEMGwZdu4KTE15A1dhEPF0ccLK34+jFCJwcTBRwd8LNyY4gf3daVChExQBvJc1FRETuI0WLFuXixYuWx4GBgezfv9+qT1hYGA4OWf/IMXLkSOJTF0PMhOHDh1tmjduCs7Mzzs7ONnt+eYC0bQt795p/9vaGp54yl24pX962cYlkUkxMDJUrVwbgyJEjVncziYjkZfkyiR4UFGRJxplMJqZNm8a0adMy7G8YBh9//HGOxlSvXj02b95Ms2bNrNp/++03WrVqxXPPPUfnzp0tg+uPPvqIAwcO8NprrzFhwgRL/9dff50PP/yQKVOmMGrUqByNWSQ9pa//TUDkNaC9uaFtWyhTBlq0MC9IVLNmmn28XR2pVsyb0v4etKroz63YJOxM4OrkgL+HkxaMERERuQ/VrVvXapZ5u3btmDZtGuPHj6djx45s3bqVFStW0Lp16ywf+4svviA6OjrT/bt163bPSXRvb+8MZ5qn1jbPaKa6SI6Kj4fvvoMuXSA10di/PyQlmcflvXuDu7tNQxTJKsMwCAsLs/wsIpJfmIx8+Ferf//+mEwmDMNgwYIF1KhRg5rpJPbs7e3x8/OjZcuWtGvXLvcD/X/BwcGsXbuW3bt3U6dOHQzDoHjx4kRERHDp0iXcbxv4REdHU6RIEQoVKsSpU6cy/RwRERGWDwCpt52K/FvQ6z+n226fkkyrk7vou+8nGocd5G+vQhS/cQHs7c0dkpLgHmaRiYiISPruh7Hb999/zxtvvMGvv/5KUFAQV69epU6dOvz999+AOTni7e1NSEgI1apVs0mMly5dIiAggGbNmlkWEP23hg0bsn37di5evJimLvrSpUvp1asX7777Lm+99Vamn/d+uL5iQ2fPwuefw+zZcPWq+f+ppVqSk8HODnSHp+RT0dHReHh4ABAVFWWVDxERsYXMjtvyZVZs3rx5lp+3bNnCU089xQsvvGC7gO4itR576q2sJ06c4MKFCwQHB6f5B8Pd3Z1GjRqxZs0azp07R4kSJXI9XnlwFIi+RY9Da/nf/l8pFnkVgGSTHUcLlaL4jRuQWudUCXQRERH5ly5dutClSxfLY39/fw4cOMDs2bM5ffo0gYGB9OnTh2LFitkwyrtr1qwZ27dvZ+3atfTt29dq25o1ayx9RHKUYcD69TBjBvz4o3nhUIDixf+Z2ALWP4uIiEiuyfeZsTNnztg6hDs6e/Ys69evJyAgwDID58SJEwAZ3nJarlw51qxZw4kTJzJMosfHx1vViUy91VQks3of+JUx67/AOTkJgBuuXiyt0ZbFNR/hb+/ChN62UJiIiIhIZvj6+vLKK6/YOowseeqpp5g4cSLjxo2jU6dOltItBw4cYMmSJVSqVInGjRvbOEq5r8XEwEMPwbFj/7S1bGku2dKxoya0iIiI5AH5/l/jyMhIrl69SokSJSwzvgGWLVvGqlWrcHFxYejQodSuXTvXY0tMTKRPnz7Ex8fz4YcfYv//swZSay5mVFsx9daBjGozAowfP5533nknmyOW+1pMDL4x4dx0M7/vjhQqjXNyEgcCyrOgdnt+rtiEeAcnGwcpIiIi+UXLli3p379/mtnbt1u0aBFz5sxh48aNuRbXsWPHLGsOxcbGWtr69+9v6XP7na3ly5dn7NixjB49mho1atC1a1ciIyNZunQpALNmzdL6LpL9zp6FkiXNP7u5QVAQnD8P/frBkCFQqZJNwxMRERFr+T6J/uqrr7Jo0SIuX75sSaLPnDmTYcOGWRapWLp0KXv37qVixYq5FldKSgr9+/cnJCSEQYMG0adPn2w9/qhRo3jppZcsjyMiIlT6RdJ38iTMnAlz5/Jy4MO8GTwMgAMB5QkeMJ3j/kG2jU9ERETypc2bN9O8efM79gkLC2PLli25E9D/u3TpEvPnz7dqu3z5slXb7Ul0gDfffJOgoCCmTp3KzJkzcXJyokmTJrz33ns2mYwj96mEBFixwlyyZft2CA01l2sB83i9QAHw9LRpiCIiIpK+fJ9E37JlC61bt8YtdbVyYMKECRQrVozFixdz6dIl+vbty8cff8xXX32VKzGlpKQwYMAAFi9ezJNPPsnnn39utT11BnpGM81TS7NkNFMdwNnZGWdn52yKWO47ycnw66/mAfrq1ZbmXkXPMdpIwTCZFyPKKIF+5O0WuRSoiIiI3M+io6Ot7hbNDc2bN7dMpsmK//3vf/zvf//LgYjkgXf+PHzxBcyaBZcumdscHGDrVujZ0/w4KMhm4YnkJpPJROXKlS0/i4jkF/k+iX7x4kXatWtneXz06FHOnTvHRx99ZKld+N133xESEpIr8aSkpPDUU0+xYMECevXqxbx589Lc/plaCz21Nvq/3a1musgdffkljB9vntkCYDJBu3YwbBh27drx4sa/mLL+VIa7j2hdxupLKREREZFUZ8+etXp869atNG0AycnJnDt3juXLlxOk5KA8qM6ehZdegpUrzZNcAAIC4JlnzP8VLWrT8ERswc3NjcOHD9s6DBGRLMv3SfT4+HicnP6p47xlyxZMJhNt27a1tJUuXZpVq1bleCy3J9B79OjBwoULLXXQb1euXDmKFi3Ktm3biI6Oxt3d3bItOjqabdu2UapUKZVnkcwzDHOyHODcOXMC3dcXBgyA556DMmUsXYe3Npc1Si+RPqJ1Gct2ERERkX8LCgqyzBw0mUxMmzaNadOmZdjfMAw+/vjj3ApPxPZuH5d7e5vvCk1OhqZNzQuFdukCuXx3hoiIiPx3+T6JXrx4cQ4dOmR5/NNPP+Hn50f16tUtbdevX8fDwyNH40gt4bJgwQK6d+/OokWL0k2gg/kDx9NPP827777Le++9Z1n4COC9994jKiqKN954I0fjlftAXBwsW2Yu2fL229Chg7l98GAoVcp8a2gGM8qHt67IoIYl+Xb/RS6Fx1PE25nutQI0A11ERETuqG/fvphMJgzDYMGCBdSoUYOaNWum6Wdvb4+fnx8tW7a0umtU5L515Ih5XH70KGzYYE6ke3ubS7hUrQrVqtk6QhEREfkPTMa9FAzMQ4YPH86MGTN48cUXcXFxYcKECfTt25c5c+ZY+rRo0YLIyEj27NmTY3GMHTuWd955Bw8PD4YPH46DQ9rvJzp37mz5kBEdHU2jRo04ePAgbdu2pXbt2uzbt4+1a9dSt25dtmzZgqura6afPyIiAm9vb8LDw/Hy8squlyV50Zkz8Pnn8NVXcP26ua1DB/jxR9vGJSIiIpl2P4zdSpUqxYgRI3jhhRdsHUqecz9cX8mExET44Qdz8nzz5n/a9+yBhx6yWVgieVlMTAx169YFYPfu3ZrIJSI2l9lxW76fiT5q1Ch+/PFHJk+eDEBAQADvvvuuZfuVK1fYtm0bw4YNy9E4Qv+//nRUVBTjxo1Lt09QUJAlie7u7s6WLVsYO3Ysy5cvZ9OmTQQEBDBy5EjGjBmTpQS6PAAMA9asMQ/Qf/7Z/BigZElzuZaBA20bn4iIiDxwzpw5Y+sQRGzj8mXzQqFffAEXLpjb7OygUydzyZbatW0bn0geZhgGR44csfwsIpJf5PuZ6ACxsbFs2LABgKZNm1p9a3DkyBHWrVtHcHAwFSvev7WeNdvlPmcY5tks+/ebH7dtax6gt28PGZQNEhERkbzrfhi7RUZGcvXqVUqUKIHjbTWely1bxqpVq3BxcWHo0KHUfgATivfD9ZU7WLXKnDAHKFQIBg2CZ58FrWklclfR0dGWcrtRUVFWa8SJiNhCZsdt90USXTRQv+/s32+e2fLRR5B6PZcsgZ07YcgQKF/etvGJiIjIf3I/jN2ee+45Fi1axOXLly2348+cOZNhw4ZZZhe6urqyd+/e+3oyS3ruh+sr/y8qCr7+2jzTfNAgc1tysnn9oS5doGtXcHa2bYwi+YiS6CKS12R23GaXizGJyJ3Ex5sH6A0bmm8B/eILWLjwn+29esHUqUqgi4iISJ6wZcsWWrdubVXPdsKECRQrVoyQkBC++eYbDMPg448/tmGUIvfo+HEYPhyKFYPBg+Htt8010MF8J+i330Lv3kqgi4iIPCDyXU30du3a8d5771kWosiK6OhoPv30Uzw9PRk6dGgORCdyD86eNSfMZ82Cq1fNbY6O5lktDz9s29hEREREMnDx4kXatWtneXz06FHOnTvHRx99ROPGjQH47rvvCAkJsVWIIlmTlAQ//WReh2j9+n/ay5Y13w2alGQep4uIiMgDJ98l0a9evUr9+vVp2rQpffv25fHHH8fb2/uO++zYsYNFixaxdOlSYmNjmT9/fi5FK3IXN25AuXKQkGB+nDrT5emnoUgR28YmIiIicgfx8fE4OTlZHm/ZsgWTyUTbtm0tbaVLl2bVqlW2CE8k60aNgokTzT+bTNChg3kdojZtzOVcRERE5IGV75Loe/fuZf78+bzzzjsMHDiQQYMGUaFCBR566CEKFy6Mj48PcXFx3Lhxg+PHj7Nnzx4iIyOxt7enZ8+evP/++5QsWdLWL0MeVOHhsHnzPwsR+fmZFwcNDzcP0Dt2BId892spIiIiD6DixYtz6NAhy+OffvoJPz8/qlevbmm7fv26pfatSJ5iGOb1hvz8/imX+OSTMG8eDBxontgSFGTLCEXuSyaTicDAQMvPIiL5Rb7M1vXr14++ffvyyy+/MHfuXDZv3syiRYvS9LOzs6N69ep06dKFp59+moCAABtEKwL88Yf5ttBFiyAmBk6ehNKlzduWLoXbZnGJiIiI5AePPPIIM2bM4OWXX8bFxYXVq1fTt29fqz5//fWXJrBI3hIbC0uWmMfm+/ZB//4wd655W40acP68xuYiOcjNzY3Q0FBbhyEikmX5MokO5m8s27dvT/v27QFzDca///6b69ev4+rqir+/P1WqVLlrqReRHJOYCCtWwGefwe21QCtXhkuX/kmia5AuIiIi+dCoUaP48ccfmTx5MgABAQG8++67lu1Xrlxh27ZtDBs2zFYhivzj1CmYORPmzIGbN81tzs7g4mKelZ46I1ZjcxEREUlHvk2i/1ulSpWoVKmSrcMQMdu3z1xD8eJF82N7e+jSxVyypVmzfwbpIiIiIvlUkSJFOHz4MBs2bACgadOmeHl5WbZfu3aNjz/+mODgYFuFKGI2aBB89ZU5WQ7mMi3PPQcDBkDBgjYNTURERPKH+yaJLmJThgFXrkDhwubHFSqYy7YUKQLPPGMeuBcvbtsYRURERLKZq6srHTp0SHdb5cqVqVy5ci5HJAJcvw5eXuDoaH4cFGQer7drZ57U8sgj5kkuIpLrYmNjadq0KQAhISG4urraOCIRkcxREl3kv4iMhIULzSVbwFz73GQCd3fYtAmqVNEtoSIiIiIiuWHPHnOt86VLzWP0bt3M7c89Bz16QNmyto1PREhJSWHPnj2Wn0VE8gs7Wwcgki8dPQrDhkGxYubZLIcPw5kz5lqLqWrVUgJdRERE7hvt2rVj9+7d97RvdHQ0EyZMYMaMGdkclTzw4uJgwQJ4+GGoWxfmzTO3rV//Tx8/PyXQRURE5D9REl0kK37/HVq2NC8OOmOGeSZ6hQowbRpcuKDBuYiIiNy3rl69Sv369WnRogVz584lPDz8rvvs2LGDYcOGERgYyHvvvUfh1NJ3Iv9VUhK8/jqUKAH9+sGuXeYJLP/7n3nMPnOmrSMUERGR+4jKuYhkRWSkuUyLnR107Giehd6qlRYKFRERkfve3r17mT9/Pu+88w4DBw5k0KBBVKhQgYceeojChQvj4+NDXFwcN27c4Pjx4+zZs4fIyEjs7e3p2bMn77//PiVLlrT1y5D7hYMDbNkC166ZE+mDB8PTT0OhQraOTERERO5DJsNIXaJc8rOIiAi8vb0JDw/Hy8vL1uHkf4ZhnsEyY4Z5dvm775rbU1Jg4kTo2RP0IVBERETuUX4euxmGwS+//MLcuXPZvHkzN27cSNPHzs6O6tWr06VLF55++mkCAgJsEKnt5OfrmyfdvGku0zJvnnlCi5+fuX3DBvMklw4dzEl1EcnzoqOj8fDwACAqKgp3d3cbRyQiD7rMjtuURL9PaKCeTaKj4euvzQuFHjxobitQwFyqRfXNRUREJJvcT2O3o0eP8vfff3P9+nVcXV3x9/enSpUqeHt72zo0m7mfrq9NHThgntTy9dcQG2tumzwZRoywaVgicu+URBeRvCaz4zZ9XS8C8Ndf5sT5vHmQWt/T1RV69zaXbFECXURERCRdlSpVolKlSrYOQ+4XCQnw3Xfm5Pnvv//TXq0aDBtmrnkuIvlawYIFbR2CiEiWKYkuAjB9Onz6qfnnMmVgyBB46inw9bVtXCIiIiIiD5IbN6B/f0hMNJdo6drVPKmlcWOtQyRyH3B3d+fq1au2DkNEJMuURJcHz9Wr8NVX0KIFPPywuW3IEDhzxjxAb9vWvHCoiIiIiEg+l5KSwtWoBOISk3FxtMffwwm7vDLWNQzYuBF++w3GjjW3FSliHpP7+sKgQfCA1dMXERGRvElJdHkwGAbs3Gm+LfSbb8y3ifboAUuXmrdXrAg//mjbGEVEREREstG5mzHsOHmFA+fCiYpPxsPZnpolvKlfthAlfN1y7HnvmrgPD4cFC8zlFI8dM7f16AGpZYGmTMmx2ERERETuhZLocn+LjYUlS8zJ8337/mmvWxcee8x2cYmIiIiI5KBzN2P4YvNJfjt6nluJKSQng709bD12gYN/R/Bs87LZkkg3DIPohGSSklOwtzNx/mYMu0NvcDk8HsMAZ0c7ivu5UrdUAUqcP20ely9cCNHR5gN4eEDfvqDFBUUeCLGxsTzyyCMA/Prrr7i6uto4IhGRzFESXe5vzZvDrl3mn52doWdP8+2hdevaNCwRERERkZySkpLCsl1hrNx/jqgE623hsSlc338OXzdHRrSpcMfSLrcnyB3s7XB3ssdkMlnab0QncOFWDLHxyYTHJ3H6ahRHLkRgGBDg7UIBdyecHe05cTkal3VrKfH60/8cvFIl87i8Tx/w8sqhMyEieU1KSgpbtmyx/Cwikl8oiS73j5QUWL0aWrUyJ8wBnngCrlyB556DAQNAq4CLiIiIyH3u4q0YluwMTZNATxWVAEt2htKzbgmK+XlY2lOT4wmJSZy7GcOZa9FExSfjaGfC3s6Er5sTxXxdiU9K4dzNWE5fjSIx2cDXzYmE5CROXI4gIiaREn5uFIq4jvvJ81yr+hAlfF05UrEOLQsWwrlpY0zDhpknu2ihUBEREcknlESX/O/6dZgzB2bONC8OunAhPPmkeduwYfDii+Z7V0VEREREHgB7Tl7mesydZ3hei0lhz8nLFKtnTqKHxyYSdj2a45ci2XXmOscvRRCdkIQdJhzsTfi4OuHiZI+9yUS5wh74e7rg4mCHv6cjf12O5GZMIgmJKTS7dISG85dRfc9mIgsXY9pnP3I9yh7/gl7MmbuWrk0rUNjLJTdOg4iIiEi2URJd8q89e8w1FZcuhbg4c5uPD0RE/NMndUa6iIiIiMgDYsXOvzLdr1O9MoTHJvLn+XBCr0dzIOwGRy9GEp2QREJSCnGJyZhMEJOQTAEP89j6r8vR3IhKoGKANwDusbFUXruCh39dRsmLZyzHj/ItiH9cJDft7fF2cyTGwYW4xOTsf8EiIiIiOSzjAngieVVMDNSvb65rPm+eOYFesybMng3nz8OQIbaOUERERETEZracz1yd4S3nUzAMg7Dr0UTGJnA1Mo4Lt+JISjGwN9lhsrPDycEeTxdHEpINLtyKw83BnuTkFC5FxBEek0DJVd/yfP8WdJ8zgZIXzxDv7MLONl35cMJSvv54EQl+BUkxDGISknByMOHiqDtEJWf1798fk8lEaGiorUPJlM2bN2MymRg7dqytQxERkTvQTHTJH27eBF9f889ubuDqCo6O0L27eUGiBg1UU1FEREREJIuiE5K5EZWAyWTi/M1YElJSSDHAZDJhBzg42mFgwt3RgZtx8YRHxVDCxUS0sxtXoxOIKFIM59hobhQL4pcmndnasD3eRfyJT06huMlEcoqBncnE1cgEqhb3wt/DydYvWfKpvXv38tlnnxESEsKFCxdISUmhaNGiNGzYkL59+9KmTRtbhygiIvcxJdEl70pJgfXrzSVb1q6F0FAoXNi8bcYMKFDgn8ciIiIiIpJlSckpJKUYGEB0fBIpySk4OUBsQgomE9iZTCSngF/MDR7/bRVd9/7KobotWN5nJFFxiVyrXZ9vJy3ij6CqJBhATCJnb8ZQ1NsVk8ngWlQCickGZQu5UyfIDzs73QwtWZOSksLLL7/MlClTcHBwoGXLlnTs2BFHR0dOnz7Nzz//zKJFi3j33Xd56623bB1ultWrV4+jR49SsGBBW4eSa9zc3GwdgohIlimJLnnPrVvmMi2ffQYnTvzTvnYt9Olj/rlyZVtEJiIiIiJyX3Gwt8PBzpwod7Q3kWKYcLJ3IMpIwEgxqBR2mM6//0DzP7bgmJwEQI1Dv7PJ+TUMe3vC4xJJqteQxCuRONpDCV9XXJ3sSElJ4eSVaNyd7Kkd5EuT8v6U8FXiTLJu9OjRTJkyhZo1a/Ldd99RpkwZq+2xsbFMnz6d69ev2yjC/8bNzY2KFSvaOoxc4+7uTnR0tK3DEBHJMk0DkLzjwgV45hkoVgxGjDAn0L284Pnn4ejRfxLoIiIiIiKSLdyd7PHzcMIwDIr7upGMgYO9iXZ/bGL2J88y47MXaHNgA47JSfxZohIf/e8N3hu/GHsneyoHeOLn7sSNmAR83Zwo6u1KMR83mpXzp2nFQnSpXYzBLcrQs24JJdDlnpw8eZKPPvqIAgUKsHr16jQJdABXV1deeeUV3nnnHat2wzD45JNPqFixIs7OzgQGBvLOO++QkmK9ZkB4eDgffvghzZo1o2jRojg5OVG0aFH69u3LqVOn0jzf2LFjMZlMbN68mXnz5lG7dm3c3Nxo3ry5pc+hQ4d49NFH8fT0xNvbm0cffZQ///wz3XrtGdVEDwoKIigoiKioKIYPH07RokVxdnamevXqfPfdd+mer9DQUHr06IGfnx8eHh40a9aMkJAQq5hFROTeaCa65B3OzrBwoXmh0KpVzbXOn3wSPDxsHZmIiIiIyH3JZDIRWMCdyLgkivq44u/pwvkbMZQ7f4LyF08R5+DEmmrNWdmoM9fLV6WErxueLg74ujrj7eaEp4sDZQt5UcTbGV83c73z5BQDB3s73J3sMWndIvkP5s2bR3JyMs8++yyF71LK09nZ2erxK6+8wpYtW+jQoQPBwcGsXLmSsWPHkpCQwLhx4yz9jh49yttvv02LFi3o0qUL7u7uHDt2jMWLF/Pzzz+zb98+AgMD0zzfxx9/zKZNm+jUqRNt27bF3t68aO7Bgwdp0qQJ0dHRPP7445QrV449e/bQuHFjatSokaXXn5iYSNu2bbl58yZdu3YlJiaGpUuX8sQTT7B69Wratm1r6Xv+/HkaNmzIxYsXadeuHbVq1eL48eO0adOGli1bZul5RUQkLSXRxTb+/hu++AKOHIHly81tBQrAlCnmUi1NmmihUBERERGRnJacjPf61dT7ZDoBA54jqXwNQo5f4afGnbjp4cPquu2IdPfGzdGe4t6uVC3mRY2SPgQV8MDNyV7JcslR27ZtA7inJPC+ffs4dOgQAQEBALz11luUK1eOTz/9lDFjxuDkZP7Sp1KlSly8eBE/Pz+r/Tdt2kTr1q15//33mTVrVprjb9myhZ07d1KtWjWr9mHDhhEZGcnXX39N7969Le1vv/027733XpZew4ULF6hbty6bN2+2xNu7d29at27N5MmTrZLor7/+OhcvXmTcuHG88cYblvY5c+YwcODALD1vToqLi6Nr164ALF++HBcXFxtHJCKSOUqiS+4xDNi0ybwo6A8/QHKyuf3AAahZ0/zz4MG2ik5ERERE5IHhGxNOj0ProMxQCAvDESjl7kqhZd/RrJw/hy8U51qbejxmAndne3zdnCnm60oxXzc8nB2UNJdccenSJQCKFy+e5X3feustSwIdoGDBgnTq1In58+dz/PhxS/Lb29s73f1btGhBlSpVWL9+fbrbn3nmmTQJ9LCwMLZu3UqNGjWsEugAr732GtOnT+fmzZtZeh1TpkyxJNABWrVqRWBgILt377a0xcfH8+2331KoUCFGjhxptf9TTz3FRx99xPHjx7P0vDklOTmZX375xfKziEh+oSS65LyICFiwwLxQ6NGj/7Q3a2Yu2VKliu1iExERERF5gNS4cJy++3+mw9HfcE5ONDf6+cGAAZieew4PZwc8nD0ILOBOdEIySckpmm0u+dJDDz2Upi01GX/r1i2r9s2bNzN16lR27tzJtWvXSEpKsmy7PYF9u3r16qVpO3jwIACNGjVKs83d3Z2aNWuyadOmTL8GHx8fSpUqle7r2L59u+Xx8ePHiY+Pp06dOmnK2phMJho2bJhnkugiIvmVkuh5wO7duxkzZgy///47iYmJVKtWjZdeeoknnnjC1qFlj9WrzYuDAri7Q9++MGSIue65iIiIiIjkDsPg41+mUf76WQAOFSlL9Q/egJ49wdXVqqvJZMLDWR8XxbaKFCnCsWPHOH/+PBUqVMjSvl5eXmnaHBzM7+nbZ0B/++239OjRAw8PD4KDgwkKCsLNzQ2TycS8efMICwtL9/jp1WiPiIgAoFChQpne504ymiXv4OBgtUBqdj+viIikpVGRjW3atIng4GBcXFzo2bMnnp6eLF++nB49enDu3Lk0t2LleYmJsHKluVRLz57mti5doEULePxxcwI9ncGMiIiIiIhkr+K3LtHr4BqmN+hBrJMLmEx8VbcT9c79ycLaHTgQUJ7QpzrYOkyRDDVq1IjNmzezYcOGHFscc+zYsbi4uLB3717KlStntW3p0qUZ7pfenRmpifsrV66ku8/ly5f/Q6QZs9Xziog8SJREt6GkpCQGDRqEnZ0dISEh1Pz/uuBvv/029erV44033qBbt27prgSe51y8CF9+af7vwgUoWRK6dQMHB3B0hI0bbR2hiIiIiMj9LyWF5qf20Gf/z7Q4tQc7DM76FGFZjWAAltUItvwsktf179+fCRMm8OWXX/Liiy/i7++fYd/4+Pg0pUwy49SpU1SpUiVNAv3ixYucPn06S8eqUaMGAL///nuabTExMZZyL9mtQoUKODs7s3fv3jTnwTAMq9IvIiJyb+xsHcCDbOPGjZw6dYrevXtbEuhgvmXrjTfeICEhgfnz59suwLsxDAgJgR49zEnzsWPNCfTChc0zzuPjbR2hiIiIiMiD4cYNmDQJypdn3ndjaXVqN3YYhATVItS3aLq7vNfYPZeDFMmasmXL8uqrr3Lt2jUeeeQRzpw5k6ZPXFwckydPZuzYsff0HIGBgZw8edJqtnZcXBzPPfcciYmJWT5Wo0aNOHDgAMuWLbPa9vHHH3Pjxo17ivFunJ2d6datG5cvX2bq1KlW2xYsWMCxY8dy5HlFRB4kmoluQ5s3bwagbdu2abYFB5tnh2zZsiXdfePj44m/LUmdWgMtV73xBkyY8M/jRo3MC4V27QoZLL4iIiIiIiLZ7MYNKFECYmIAMLy9mVOuOYtqPcoZv2IZ7tarXePcilDknr3//vvExcUxZcoUKlSoQMuWLalatSqOjo6cOXOG9evXc/36dd5///17Ov7zzz/P888/T61atejWrRtJSUmsW7cOwzCoUaNGlmePf/rppzRt2pT//e9/LF++nLJly7Jv3z527NhB06ZNCQkJwc4u++czjh8/nvXr1/P666+zZcsWatWqxfHjx/npp59o164dq1evzpHnFRF5UOgvqA2dOHECIM1tY2BeQMXDw8PS59/Gjx+Pt7e35b8SJUrkaKzp6tIF3Nxg0CDYvx+2boVevZRAFxERERHJTX5+0KwZ1KgBX36J6fx5qn371R0T6N8Mrm9ZZFEkL7Ozs2Py5Mns3r2bPn36cOrUKT777DOmTJnCzp07CQ4OZt26dbz55pv3dPyhQ4fy+eef4+fnx6xZs/j+++9p1qwZ27dvx8fHJ8vHq1WrFr/99hutW7fm119/Zfr06djZ2bF161ZL7fL0Fj39r0qUKMH27dvp3r07v//+O1OnTuXKlSusXbuWsmXL5tjzZpW7uzuGYWAYBu7uuhtGRPIPk2EYhq2DeFC1bduWdevWceLECcs/arcrVqwYUVFRhIeHp9mW3kz0EiVKEB4enrv/MEZEaKFQERERkSyKiIjA29s798dukitscn0jIsDTE25b7HBX6HU+WbmDrZf+6dYkAJ7vVJ96QQVyJy4RASA5OZkyZcoQGxub6wt9Nm7cmO3btxMeHo6Hh0euPreISF6X2XGbph7kU87Ozve0aEq204c+ERERERHbS2dcXi+oAPOGBXPschQRsYl4uTpSsbCHZqCL5KCkpCRu3bpFwYIFrdonTJhAWFgYzzzzTI4998WLFwkICLBqW7RoEdu2baNt27ZKoIuI/AcaPdmQt7c3QLozzcH8TYivr29uhiQiIiIiIvcRBwcHqhbzsXUYIg+MqKgoihUrRps2bShfvjyJiYns3LmT3bt3ExAQcM8LoGZG1apVqVWrFpUrV8be3p4DBw6wefNmPD09mThxYo49r4jIg0A10W0otRZ6enXPL126RFRUVLr10kVEREREREQk73Fzc2PgwIGcPHmS2bNn88UXX3D58mWeffZZSyI9pwwePJgrV66wYMECpk+fzvHjx+nduze7du2iWrVqOfa8IiIPAs1Et6FmzZoxfvx41q5dS8+ePa22rVmzxtJHRERERERERPI+JycnPvvsM5s897hx4xg3bpxNnltE5H6nmeg21KpVK0qXLs3ixYs5cOCApT08PJwPPvgAJycn+vbta7sARURERERERERERB5wmoluQw4ODsyePZvg4GCaNm1Kz5498fT0ZPny5YSFhTFx4kSCgoJsHaaIiIiIiIiIiIjIA0tJdBtr0aIFW7duZcyYMSxbtozExESqVavGhx9+SI8ePWwdnoiIiIiIiIiIiMgDTUn0PKBevXr8+uuvtg5DRERERERERERERP5FNdFFRERERERERERERDKgmej3CcMwAIiIiLBxJCIiIiJyNxqz3d80NhcRERHJH1LHa6njt4woiX6fiIyMBKBEiRI2jkRERERE5MGmsbmIiIhI/hIZGYm3t3eG203G3dLski+kpKRw4cIFPD09MZlMufKcERERlChRgnPnzuHl5ZUrzynZS9cw/9M1zP90DfM/XcP8zxbXMHUI7uXllWtjN8k9thib5xf6m5kzdF5zhs5rztB5zRk6rzlD5zVn5KXzahgGkZGRFC1aFDu7jCufayb6fcLOzo7ixYvb5Lm9vLxs/oaX/0bXMP/TNcz/dA3zP13D/E/XULKLLcfm+YV+33KGzmvO0HnNGTqvOUPnNWfovOaMvHJe7zQDPZUWFhURERERERERERERyYCS6CIiIiIiIiIiIiIiGVASXe6Zs7MzY8aMwdnZ2dahyD3SNcz/dA3zP13D/E/XMP/TNRTJPfp9yxk6rzlD5zVn6LzmDJ3XnKHzmjPy43nVwqIiIiIiIiIiIiIiIhnQTHQRERERERERERERkQwoiS4iIiIiIiIiIiIikgEl0UVEREREREREREREMqAkuoiIiIiIiIiIiIhIBpREFxERERERERERERHJgJLokmW7d+/m0UcfxcfHB3d3d+rXr88333xj67DkNufPn2fq1Km0bduWkiVL4uTkRJEiRejatSs7d+5Md5+IiAheeuklAgMDcXZ2JigoiFdeeYWoqKhcjl7u5MMPP8RkMmEymdixY0ea7bqOedP3339PmzZtKFCgAC4uLpQqVYpevXpx7tw5q366fnmPYRisWLGCFi1aEBAQgJubGxUqVODZZ5/l9OnTafrrGtrOokWLePbZZ6lTpw7Ozs6YTCbmzZuXYf+sXquUlBQ+/fRTqlWrhqurK/7+/vTq1Svd94GIWDtw4ABvvPEGwcHB+Pv7YzKZaN68eYb9Q0NDLeOd9P4bO3ZsrsWel2X1vKb6+uuvqVevHu7u7vj6+tKhQwf27duX8wHfB8aOHXvH92ZoaKitQ8zTlEvIfkFBQRm+HzPz9+BBl9PjxwdVVs5rfvq76mDrACR/2bRpE8HBwbi4uNCzZ088PT1Zvnw5PXr04Ny5c4wcOdLWIQrw6aef8uGHH1KmTBnatm2Lv78/J06cYOXKlaxcuZLFixfTo0cPS//o6GiaNWvGgQMHaNu2Lb169WL//v1MnDiRLVu2EBISgouLiw1fkQD8+eefjBkzBnd3d6Kjo9Ns13XMewzDYPDgwXz55ZeUKVPG8nfzwoULbNmyhbCwMEqUKAHo+uVVL7/8MpMnTyYgIIDOnTvj5eXFwYMHmTVrFkuWLOH333+natWqgK6hrY0ePZqwsDAKFixIQEAAYWFhGfa9l2v17LPPMnv2bKpUqcILL7zAhQsX+Oabb1i7di07duygXLlyOf0SRfKtlStXMn78eJycnChfvjzXrl3L1H41atSgc+fOadqVGDK7l/M6btw4Ro8eTWBgIIMHDyYyMpKlS5fSsGFDNmzYQKNGjXIh8vyvX79+BAUFpWn38fHJ9VjyC+USco63tzcvvvhimvb03qNiLafHjw+qrJzXVPni76ohkkmJiYlGmTJlDGdnZ2P//v2W9lu3bhnly5c3nJycjNDQUNsFKBbLly83Nm/enKY9JCTEcHR0NHx9fY24uDhL+9tvv20AxmuvvWbV/7XXXjMA44MPPsjxmOXOEhISjNq1axsPP/yw8eSTTxqAsX37dqs+uo55z9SpUw3AGDJkiJGUlJRme2JiouVnXb+85+LFi4adnZ0RGBho3Lp1y2rb5MmTDcB46qmnLG26hra1bt06yzhk/PjxBmDMnTs33b5ZvVYbN240AKNp06ZGfHy8pf2XX34xAKNt27bZ+2JE7jN//vmnsXfvXiMhIcG4ePGiARjNmjXLsP+ZM2cMwOjXr1+uxZgfZfW8/vXXX4aDg4NRvnx5q3/X9u/fbzg7OxuVKlUykpOTcyHy/GvMmDEGYGzatMnWoeQryiXknMDAQCMwMNDWYeRbOTl+fJBl5bzmp7+rSqJLpq1ZsyZNwiDVvHnzDMB45513bBCZZEXbtm0NwNi9e7dhGIaRkpJiFC1a1PDw8DCioqKs+kZFRRkeHh5G6dKlbRGq3GbMmDGGs7OzcfjwYaNfv35pkui6jnlPTEyM4evra5QuXdoqWZ4eXb+8afv27QZg9O7dO822v/76ywCMDh06GIaha5jX3Gmwfi/XqlevXgZgbNmyJc3xmjdvbgBGWFhYtr4GkfuVkug5IzPnddSoUQZgzJ8/P822/v37Z/h3Tv6Rn5I9eYlyCTlHSfTsk93jRzG7n5LoqokumbZ582YA2rZtm2ZbcHAwAFu2bMnNkOQeODo6AuDgYK7mdOLECS5cuECjRo1wd3e36uvu7k6jRo04ffp0mtrNknv27dvHuHHjGDNmDJUrV063j65j3rN27Vpu3rxJ586dSU5OZsWKFUyYMIHPP/+ckydPWvXV9cubypUrh5OTE9u2bSMiIsJq208//QRAq1atAF3D/ORertXmzZst2/5NYyCRnHPhwgVmzJjBBx98wFdffcWpU6dsHVK+ps9z2SckJIQPP/yQjz/+mJUrV6oe8l3ovZez4uPjmTdvHh988AHTp0/PcB00uXca6+e8/PB3VTXRJdNOnDgBkG7NzyJFiuDh4WHpI3nT2bNnWb9+PQEBAVSrVg2483VNbV+zZg0nTpyw1G6W3BMfH0/fvn2pWbMmr776aob9dB3znr179wJgb29P9erV+euvvyzb7OzsGDFiBBMnTgR0/fKqAgUKMGHCBEaOHEnFihXp1KmTpSb6xo0bGTJkCMOGDQN0DfOTrF6r6OhoLl68SNWqVbG3t0+3/+3HFZHss27dOtatW2d5bDKZ+N///sfnn3+eJokhd3fixAk8PDwoUqRImm36W5Y1Y8aMsXrs4+PDtGnT6Nu3r40iytuUS8hZly5d4qmnnrJqq1u3LkuWLKFMmTI2iur+orF+zssPf1c1E10yLTw8HDAvWpEeLy8vSx/JexITE+nTpw/x8fF8+OGHlkRAZq7r7f0kd7399tucOHGCuXPnppu8SaXrmPdcuXIFgMmTJ+Pt7c2uXbuIjIwkJCSE8uXLM2nSJGbOnAno+uVlI0aMYOnSpURFRfH555/z0UcfsWbNGh5++GF69+5tuatH1zD/yOq10rUVyX1ubm689dZb7N27l1u3bnHjxg3Wr19PvXr1WLRoUZ76QJ2fhIeH62/Zf1SjRg3mzJnD6dOniY2N5cyZM3z66aeYTCb69+/PqlWrbB1inqRcQs556qmn2LBhA5cvXyY6Opr9+/fTp08fdu/eTatWrYiMjLR1iPcFjQdzTn76u6qZ6CIPgJSUFPr3709ISAiDBg2iT58+tg5JMmH79u1MnDiRsWPHUrVqVVuHI1mUkpICgJOTEytXrqRo0aIANGnShG+//ZYaNWowadIknnvuOVuGKXfx7rvv8v777/Puu+/y5JNP4uPjw4EDBxgxYgTNmzdn+fLldOzY0dZhiojkuJEjRxIfH5/p/sOHD89wxt7dFCpUiHfffdeqrVWrVjRo0IDatWuzYsUK9u3bR+3ate/p+HlJbp5XMfsv57xLly5W24KCghg2bBiVKlWiTZs2jB49WuMCyVX/nr1bs2ZNFixYAMDChQuZNWsWL730ki1CE8mU/PR3VUl0ybTUb9wy+mYtIiICX1/f3AxJMiElJYUBAwawePFinnzyST7//HOr7Zm5rrf3k9yRlJREv379qF69Oq+//vpd++s65j2p57pOnTqWBHqqqlWrUrp0aU6ePMmtW7d0/fKo9evXM2bMGEaMGGH1e9i4cWN+/PFHSpcuzciRI+nYsaOuYT6S1Wulayti9sUXXxAdHZ3p/t26dcv2ZK+bmxt9+vRh9OjRbNu27b5IoufmefX29tbfMnLmnLdq1YoyZcrwxx9/EBERYZmVKmbKJeS+Z599loULF7Jt2zYl0bOBxoO5Ly/+XVUSXTLt9jp5Dz30kNW2S5cuERUVRb169WwRmmQgJSWFp556igULFtCrVy/mzZuHnZ11Fae71T+8W+0vyRlRUVGWc+/k5JRunwYNGgDw/fffWxYc1XXMOypUqACYa7mlJ7U9NjZWv4d51K+//gpAixYt0mwrUqQIFStWZP/+/URFReka5iNZvVbu7u4EBARw5swZkpOT05TW0rWVB0VeWeCrYMGCAFlKguZluXley5Urx/bt27l06VKauugP0t+ynDrnBQsW5OTJk8TExOSJZE9eolxC7rvf/lbamsb6tpHX/q6qJrpkWrNmzQBYu3Ztmm1r1qyx6iO2d3sCvUePHixcuDDDBdGKFi3Ktm3b0vwDGx0dzbZt2yhVqpQWx8hlzs7ODBw4MN3/Uv9h7tixIwMHDiQoKEjXMQ9KTbwePXo0zbbExEROnjyJu7s7/v7+un55VEJCAgBXr15Nd/vVq1exs7PD0dFR1zAfuZdr1axZM8u2f0sdAzVt2jRnAxcRAHbu3AmYb/eWrNHnuZwTHR3N4cOHcXd3tyQv5R967+U+/a3MXhrr5768+HdVSXTJtFatWlG6dGkWL17MgQMHLO3h4eF88MEHODk5aZGfPCK1hMuCBQvo3r07ixYtynBRSpPJxNNPP01UVBTvvfee1bb33nuPqKgoBg0alBthy21cXV2ZPXt2uv81bNgQgFGjRjF79mxq1qyp65gHlSlThrZt23Ly5Elmz55ttW3ChAncunWLLl264ODgoOuXRzVq1AgwLw7771s3P//8c/7++28aNGiAs7OzrmE+ci/X6plnngHgrbfesny5Aua7FTZv3kzbtm0JDAzM+eBFHhD79+/HMIw07StWrGD+/Pn4+vryyCOP2CCy/O2pp57CwcGBcePGWf27duDAAZYsWUKlSpVo3LixDSPM2yIjI/nrr7/StMfGxjJo0CAiIyN54oknLIuOyz+US8gZx44dIyYmJt321157DYDevXvndlj3JY31c0Z++7tqMtIbnYhkYNOmTQQHB+Pi4kLPnj3x9PRk+fLlhIWFMXHiREaOHGnrEAUYO3Ys77zzDh4eHgwfPjzdPzidO3emZs2agPkbvkaNGnHw4EHatm1L7dq12bdvH2vXrqVu3bps2bIFV1fXXH4VkpH+/fszf/58tm/fTv369S3tuo55z6lTp2jYsCFXrlyhffv2lvIfGzduJDAwkB07dlhup9b1y3uSk5Np2bIlISEhFCpUiI4dO+Lj48O+ffvYuHEjrq6ubN682XL7sa6hbc2ePZutW7cC8Mcff7Bv3z4aNWpE2bJlAXMt+6effhq4t2s1aNAgZs+eTZUqVWjfvj0XL15k2bJleHh4sH37dsqXL5+7L1gkHzl27BgTJkwAzB+Mv/nmGwoXLky7du0sfebNm2f5uXnz5pw6dYoGDRpQvHhxkpOT2bdvH1u3bsXZ2ZlvvvkmzywyZktZPa8A48aNY/To0QQGBtK1a1ciIyNZunQpCQkJbNiwwfIFsqQVGhpK6dKlqVu3LpUqVaJIkSJcvnyZ9evX8/fff1OtWjU2bdpEgQIFbB1qnqRcQvYbO3YskydPpmnTpgQGBuLu7s5ff/3FL7/8QmJiIqNGjeKDDz6wdZh5Wk6PHx9UmT2v+e7vqiGSRTt37jTatWtneHl5Ga6urka9evWMpUuX2josuU2/fv0M4I7/zZ0712qfW7duGS+++KJRokQJw9HR0ShZsqQxcuRIIyIiwjYvQjKUen23b9+eZpuuY95z9uxZo3///kaRIkUMR0dHo0SJEsbQoUONy5cvp+mr65f3xMXFGePHjzdq1apluLm5GQ4ODkaxYsWMJ5980jhy5Eia/rqGtnO3f/v69etn1T+r1yo5OdmYNm2aUaVKFcPZ2dkoUKCA0aNHD+PkyZO58OpE8rdNmzbddWx6u1mzZhnt2rUzSpQoYbi6uhrOzs5G6dKljaeffto4evSojV5F3pPV85pq0aJFRp06dQxXV1fD29vbePTRR429e/fmcvT5T3h4uDF06FCjbt26hr+/v+Hg4GB4enoa9erVMz766CMjJibG1iHmecolZK/NmzcbTzzxhFGuXDnDy8vLcHBwMIoUKWJ06tTJWLNmja3Dyxdyevz4oMrsec1vf1c1E11EREREREREREREJAOqiS4iIiIiIiIiIiIikgEl0UVEREREREREREREMqAkuoiIiIiIiIiIiIhIBpREFxERERERERERERHJgJLoIiIiIiIiIiIiIiIZUBJdRERERERERERERCQDSqKLiIiIiIiIiIiIiGRASXQRERERERERERERkQwoiS4iYgP79+/H3t6exYsXZ3ofk8lE8+bNrdr69++PyWQiNDQ0ewPMY8aOHYvJZGLz5s22DiXHpHd9syq998Px48dxcHDgs88+y9KxUs956n+vv/76f4otI8eOHbN6nqCgoBx5HhEREZGMvPjiixQsWJDIyMhM9Z83bx4mk4l58+ZZtWfHeC4/CAoKuq/HbBld36xK7/0wevRoPD09uXz5cpaOFRQUZDVmPnbs2H+KLSdpfC/3KyXRRSTfiY6O5oMPPqB27dp4eHjg7OxM8eLFadKkCaNGjeLUqVPp7nfp0iVee+01qlevjqenJ25ubpQvX54hQ4Zw4sSJOz6nYRisWLGCxx9/nOLFi+Ps7Iynpyc1atRgxIgRHDlyJEuv4aWXXqJixYr07NkzS/vlN/f7ADs/qFChAr169eKdd97J9AfD2/Xr148xY8bQunVrq/YjR47QunVrvL29KVOmDOPHjyc5OTnN/rGxsZQtW5Znnnkm3eMXLFiQMWPGMGbMGLy9vbMcn4iIiGRdaGioVZLLZDLh5OREiRIl6N27N4cOHbJ1iLnmxIkTfPbZZ7z88st4enraOpwcs3nzZkwmE2PHjrV1KA+0kSNHYmdnx5gxY7K8r7e3t2XcXLBgQUv77b/PRYoUISkpKd39jx49mm5ie8KECZhMJiZMmJDufjVr1sRkMjF48OB0t3fu3BmTycSGDRsAje/l/uVg6wBERLIiMjKSxo0bc+jQIcqWLcuTTz5JgQIFuHbtGrt27WLChAmUKVOGMmXKWO33yy+/0LNnTyIjI6lfvz6DBg3CwcGBAwcO8MUXXzB79mxmzpzJwIED0zznjRs36N69Oxs3bsTHx4c2bdpQunRpEhISOHz4MJ999hmffPIJGzZsyNTMk40bN7J582a++uor7Oz+23eZ48eP5/XXX6dYsWL/6Thyf3v11VdZtGgRn3zyCW+++WaW9u3fv3+a93VkZCStW7cmKSmJgQMHcvToUd544w2cnZ156aWXrPqOGTOGmJgYPv7443SPX7BgQcuHuf8620dERESypkyZMjz55JMAREVFsWPHDpYsWcKKFSvYsGEDjRo1snGEOe+9997D0dGRoUOH/udjHT16FDc3t2yISu5Xvr6+PP3000ybNo1Ro0YRGBiY6X19fHzu+CWIg4MDly9f5pdffqFjx45ptmf0+bNFixaA+YuWf999ev36dQ4dOpThXcEpKSmEhITg7Oxs+Xuh8b3cr5REF5F8ZerUqRw6dIinn36aL7/8EpPJZLX9zJkzxMfHW7Xt3buXxx9/HDs7O1auXEmnTp2stm/fvp2OHTsyaNAgihQpQvv27S3bkpKS6NKlCyEhITz55JPMmDEDLy8vq/0vXrzIm2++SXh4eKZew8yZM3F1daVbt25ZeenpCggIICAg4D8fR+5v1apVo3r16syaNYtRo0b95y9vfvrpJy5evMjWrVstg+VWrVrx5ZdfWiXR9+/fz5QpU1i2bJlmoYiIiORBZcuWTZOUGz16NOPGjePNN9+8r0vpgTlB+M0339CtW7dsmYVesWLFbIhK7ndPPvkkkydPZvbs2bz33nvZdtyGDRty8OBB5syZkyaJnpSUxKJFi2jdujVbtmyx2vbQQw/h6enJ1q1bSUpKwsHhn1Thli1bMAyDxx9/nBUrVnDx4kWrz58HDx7k5s2bNGvWDBcXl2x7LSJ5kcq5iEi+sn37dgCGDh2aJoEOUKpUqTSD1+HDhxMfH88nn3ySJoEO0KBBAxYvXoxhGDz//PNWJSkWLlxISEgITZs2Zf78+WkS6GBOZM+ZM4d27drdNf6bN2/yww8/EBwcnO6xAGbPnk3VqlVxcXGhRIkSvPrqq8TFxaXbN6Oa6MuXL6dZs2YUKlQIFxcXihYtSuvWrVm+fLmlT+ptf/379+fw4cO0b98eHx8fPDw8aNu2LXv37k3zfHv37mXYsGFUrVoVb29vXF1dqVatGhMmTCAxMTHNscPCwggLC7O6VfjfH9RCQkLo3LkzhQsXxtnZmRIlSvD444+zdevWdF/z4sWLqVmzJq6urgQEBDB8+HBiY2PT7Zue1NqE58+fp3fv3hQsWBBPT0/at2/P6dOnAfMsos6dO+Pn54enpyfdunXLsG7hjz/+SIsWLSzno0aNGkyePDnD2yizcn3BPOt7zJgxVKlSBVdXV3x8fAgODs7w/GTkiSeeICwsjE2bNmVpv/ScO3cOMA+4U9WpU4ezZ89aHicnJzNw4EAee+wxHn/88f/8nCIiIpI7nn/+eQB2795taUtKSmLy5MnUqFEDV1dXvL29adGiBT/++KPVvgcPHsRkMjFs2DCr9pUrV2IymXB2diYmJsZqW1BQEKVKlUoTxw8//ECrVq3w9fXFxcWFqlWrMnHixDTl426vX/3jjz/SqFEjPD09M1VScMmSJcTHx9O9e/d0t9+4cYPBgwdTuHBh3NzcqFu3Lt9//32Gx0uvBnZ4eDhvv/02lStXxsPDAy8vL8qWLUu/fv0ICwuz9Lt9DaCvvvqKatWq4eLiQrFixRgxYkS6ZfnmzJlDp06dCAoKwsXFBT8/P4KDg9OM98aOHWuZbfzOO+9Yjc1v/xyRkJDAlClTqFu3Lp6ennh4eFC5cmVeeuklbt68meb5o6KiGD58OEWLFsXZ2Znq1avz3XffZXh+/u3f1+7hhx/Gzc2NYsWK8dZbb5GSkgLA/PnzLe+9kiVLZniHY3R0NGPGjKFixYqW89G+fXu2bduWbv+sXl+AQ4cO0bNnTwICAnByciIwMJDnn3+e69evZ/p116pVi7Jly2b7LG1XV1d69uzJzz//zJUrV6y2/fTTT1y+fJkBAwak2c/BwYEmTZoQHR1t9XsP5tnprq6uvPbaawBp3lupX7Slvr9E7meaiS4i+UqBAgUA+Ouvv6hZs+Zd+584cYJt27ZRrFgxnnrqqQz7tWnThocffpidO3eyadMmS/3nr776CjDPyLnb7F1nZ+e7xhMSEkJiYiL169dPd/t7773H22+/TeHChRk0aBCOjo4sW7aMo0eP3vXYqWbOnMmQIUMICAigS5cuFChQgEuXLrFr1y6+//57unbtatX/9OnTNGrUiNq1a/Pcc88RFhbGt99+S9OmTdm4cSMPP/ywpe+sWbP48ccfadq0KY8++igxMTFs3ryZUaNGsXv3bkuS3sfHhzFjxjB16lTAvFhTqts/WEybNo0RI0bg6upKly5dKFmyJOfPn2fr1q189913NG7c2CrW6dOns3r1ajp16kTLli1ZvXo1n3zyCdeuXePrr7/O9Dm6efMmjRs3pkiRIvTr14+//vqLn376iWPHjvHDDz/QpEkTHnroIQYMGMDevXtZvnw5N27cYOPGjVbHmTx5MiNHjsTPz4/evXvj7u7OqlWrGDlyJL/99hsrVqyw+rInq9f3xo0bNG3alMOHD9OoUSMGDx5MREQEP/zwAy1atODbb7+lc+fOmXrNDRo0AGDDhg20atUq0+cqPSVKlADMM81Tj7tv3z5Klixp6TNp0iROnz7NTz/99J+eS0RERGwjdQxjGAbdunXjhx9+oHz58gwdOpTo6GiWLVtGx44dmTx5MiNGjACgevXqFChQIE2iLfVxQkIC27Zto02bNoD5LtKwsLA04/RRo0YxYcIEihUrxuOPP463tze//fYbr7zyCjt37uTbb79NE++3337L2rVr6dChA0OGDCEiIuKurzG1hnN6Y/OYmBiaN2/OH3/8QYMGDWjWrBnnzp2jR48etG3b9q7HBvO5Cw4OZufOnTRq1Ih27dphZ2dHWFgYq1atok+fPmnKeUyePJkNGzbQo0cP2rdvz/r165k6dSo7duwgJCQER0dHS9+hQ4dSo0YNWrdujb+/P+fPn2flypW0bt2aFStWWCYQNW/enNDQUObPn0+zZs2sxuM+Pj6AeR2bNm3asG3bNsqVK8dTTz2Fs7MzJ06c4IsvvqBv3774+vpa9ktMTKRt27bcvHmTrl27EhMTw9KlS3niiSdYvXp1ps8RwPfff8/atWvp3LkzjRo14ueff+b999/HMAy8vb15//336dSpE82bN2f58uW8+uqrFC5cmL59+1qOERcXR8uWLdm1axe1a9fmxRdf5PLlyyxbtow1a9awZMkSqy9L7uX6rlq1iieeeAI7Ozs6depEiRIlOHLkCNOnT2fNmjXs3LnT6hzdSYMGDVi4cCF//fUX5cuXz/S5upsBAwbwxRdfsHDhQkaOHGlpnzNnDn5+fhl+dmjRogW//PILmzZtsozvwfy7W79+ferUqYOvry+bNm2id+/eVttT9xe57xkiIvnIDz/8YACGp6enMXLkSGPNmjXGtWvXMuw/b948AzD+97//3fXYb7zxhgEY7777rmEYhpGYmGg4OjoaDg4ORmxsbLbE/8orrxiAsW7dujTbTpw4YTg4OBjFihUzLl++bGkPDw83KlSoYABGs2bNrPbp16+fARhnzpyxtNWuXdtwcnKyOkaq28/VmTNnDMAAjNdff92q3+rVqw3AqFatmlV7WFiYkZSUZNWWkpJiDBgwwACMrVu3Wm0LDAw0AgMD0z0XBw4cMOzs7IyiRYtaxZ96zPPnz1sejxkzxgAMb29v49ixY5b2mJgYo3z58oadnZ1V/ztJfc0jRoywan/uuecMwPDx8TGmTp1qFcujjz5qAMbevXst7SdPnjQcHByMQoUKGWfPnrW0x8XFGY0bNzYAY8GCBZb2e7m+vXv3NgBj1qxZVu2XL182SpQoYfj7+1u9N9N7P9z+PIDRtGnTTJ2n1HO+adOmdI9VpEgRo3DhwsaIESMs52fSpEmWc+Pq6mp8/vnnmXquVHd6v4iIiEj2SR0HBgcHp9n29ttvG4DRokULwzAMY/78+ZZxSnx8vKVfWFiYUbBgQcPBwcE4deqUpf3xxx83AOPSpUuWtmrVqhlNmjQxnJycjFGjRlnav/rqqzRjprVr11pii4qKsrSnpKQYgwcPNgDju+++s7TPnTvXAAw7O7t0x9h34u/vbxQrVizdbaljoUGDBlm1p46TAWPu3LlW2/49njt06JABGJ07d05z/Li4OCMyMjLN8zk5ORkHDx60tKekpFjGhBMnTrQ6xunTp9Mc98KFC0bRokWNcuXKWbVv2rTJAIwxY8ak+3pHjhxpAEafPn3SjPdv3bplFWtgYKABGJ06dbJ6T6xfvz7D91V6Uq+do6OjsWvXLkt7RESEUahQIcPNzc0oUqSI1fvr7NmzhpOTU5rPKe+8847lc19KSoqlfd++fYaTk5Ph4+NjREREWNqzen2vXbtmeHl5GcWKFTNCQ0Ot9lmyZIkBGMOGDbNqT298n2ratGkGYMyZM+fOJ+n/3Wmc/O/f56pVqxpVqlSxbL948aLh4OBgPP/884ZhGIazs3OaY+3Zs8cAjDZt2ljarl69aphMJuOdd94xDMMwOnbsaJQpU8ayPTk52fDx8TFcXV2t3geZjVskv1E5FxHJVzp27MikSZMwDINJkyYRHBxMwYIFKVu2LMOGDePEiRNW/S9dugT8M3P2TlL7XLx4ETDXSExMTKRgwYLZVt/t77//BqBw4cJpti1evJikpCReeuklChUqZGn38vJi9OjRWXoeR0dHq1kqqVJn8t/Ox8cnzWKTwcHBtGrVij/++MOqrEvJkiWxt7e36msymSwLMa1fvz7TMX7xxRekpKTw/vvvp7nd1mQyUbRo0TT7DB8+nAoVKlgeu7q60qtXL1JSUtItP5MRDw8P3n//fau2Xr16AeZz9MILL1jF0rNnT8B8i3Kq1Os1cuRIq/eXs7MzH374IWC9kE5Wr++1a9dYtmwZLVu25Omnn7baVqhQIV555RWuXr2a6XPu5eWFi4uL5T34X3h5ebFu3TqqVKnC7NmzOXr0KOPGjWP48OEAPPvss9SpU4dnnnmGnTt3UqdOHRwcHAgMDGT+/Pn/+flFREQke5w8eZKxY8cyduxYXnnlFZo2bcq7776Li4sL48aNA7D82/3RRx/h5ORk2bdkyZKMGDGCpKQkqzsCU2ekps5QvXbtGn/++SePPvoo9evXt7qzL7XP7TOjp0+fDsCXX36Ju7u7pd1kMjFhwgRMJhNLlixJ81o6depkuZs0MxISErh69Wq643KABQsW4OTkxLvvvmvVnjpOzgpXV9c0bc7Oznh4eKRp79u3L9WrV7c8NplMfPDBB9jb26cp/5FeGZyAgAC6du3KiRMnrMrF3ElSUhJffvkl3t7eTJs2Lc1439vbO91Yp0yZYvWeaNWqFYGBgWlKgtzNk08+Sd26dS2PPT096dChAzExMTz33HOULl3asq1EiRI0btyYI0eOWJVPnD9/Po6Ojpb3SKpatWrRr18/bt26xcqVKy3tWb2+CxYsICIigvHjx6e5e6Bnz57Url2bpUuXZvo1p77vsmNs/m8DBgzg8OHD7Ny5EzCfm6SkpHRLuaSqVasWPj4+bNu2jYSEBMBcqsUwDMvvZ7NmzTh16pSltOOBAwe4desWDRs2tHofiNyvVM5FRPKdl156iUGDBrF69Wp+//139uzZw86dO5kxYwZfffWV5dbSvCi1Vl7qbZO3S03QNmnSJM229Noy0rNnT1599VWqVq1K7969adGiBY0bN86wBnutWrXSHRQ3adKEDRs2sH//fkvt64SEBKZPn87SpUs5duwYUVFRGIZh2efChQuZjnPXrl0AWbrV8/Ya3KmKFy8OwK1btzJ9nHLlyuHm5mbVlrpATvXq1dPU20/ddvvr279/P2D9oS9VgwYNcHFx4cCBA5a2rF7f3bt3k5ycTHx8fJo68oDlC6Njx47RoUOHNNvT4+fnx7Vr1zLV926qVq1quQX6dnPmzGHr1q0cPHiQqKgo2rdvT82aNVm9ejU//fQT/fv3p2LFilZlgkRERMQ2Tp06xTvvvAOYJ2EULlyY3r178/rrr1OtWjXAPOZxc3OjXr16afZPTZjfPua5PYnes2dPSyKuZcuWxMXFMW7cOCIjI/H09GTTpk2UKVPGakLCjh07cHd3Z86cOenG7OrqyrFjx9K0pxffndxpXB4REcGZM2eoXLkyRYoUSbM9dZx8N5UqVaJ69eosWbKEv//+m86dO9O8eXNq1qyZYanI9MaFgYGBlChRgsOHD5OQkGBJWJ4+fZrx48ezceNGzp8/T3x8vNV+Fy5cSJPwTc+xY8eIjIykdevWmS5H4uPjk24Sv3jx4pZ1rDIrvTKdqePvjLYlJydz+fJlihUrRkREBKdPn6ZSpUqWzwa3a9GiBbNmzeLAgQP06dPnnq7vjh07ANi5cyenTp1Ks09cXBzXrl3j2rVrFCxY8K6v2c/PDyDbxua3e/LJJ3nttdeYM2cODz/8MHPnzqVWrVp3LIdqZ2dHkyZN+PHHH9m1axeNGzdm06ZNuLi4WMbtzZo1A8y/23379lU9dHngKIkuIvmSp6cn3bt3t9S1Cw8P54033uCzzz5j4MCBnD9/HicnJ8ugKPXb8jtJ7ZM6YCtQoACOjo5cv36d+Pj4TNU8v5vUWSjpLSQZHh4OYDVLOVVGM2TS8/LLL1OgQAFmzpzJpEmTmDhxIg4ODrRv354pU6akGexmdOzU9tS4ALp168aPP/5I+fLl6dGjB4UKFcLR0ZFbt24xbdq0NAP3OwkPD8dkMlmt7n436X0RkLp6/L8XmbrX49xp2+2Lp6bW2Uzv/JlMJgoXLsz58+ctbVm9vjdu3ABg27ZtGS6GBOYFlDIrNjY2zZcH2eny5cu8/PLLjB49mgoVKvD5559z48YN5s2bR/HixWndujW//PILU6dOTXcGmYiIiOSu4OBgVq9efcc+ERERGd7VmTqOu73+eJUqVShUqJBllvmmTZvw8vLioYceIjY2lnfeeYfffvuNcuXKcf78+TR33N24cYOkpCRLcj896Y1/sjJehjuPy1NfT3rjtqw8l4ODAxs3bmTs2LEsX77cUqPa39+fYcOG8eabb6aZ9X2nsXloaCiRkZEUKFCAkydPUq9ePSIiImjRogWPPfYYXl5e2NnZsXnzZrZs2ZLpsXnqOLVYsWKZ6g/m2enpcXBwsCwImln/dWx+p3E5pH2f3sv1TR2bz5gxI4NXYRYdHZ2pJHpsbCxAjozN/f39eeyxx1i6dCndu3fn+PHjfPrpp3fdL3Wx4M2bN9O4cWM2b95M/fr1LZ+Da9asibe3tyWJnvo73rJly2x/DSJ5kcq5iMh9wdvbm+nTpxMYGMi1a9f4448/AGjYsCFgvhXtbknW1NkGqQupODg4UK9ePRITEwkJCcmWOP39/YF/BmH/fg1AmpXUwZyczCyTycSAAQPYvXs3V69e5fvvv+fxxx/nhx9+oEOHDmnOQ0bHTm1PjWv37t38+OOPBAcHc+TIEWbNmsW4ceMYO3aspdxJVvj4+GAYhqV8Tn6TOqBP7/wZhsHly5etBv1Zvb6p+44cORLDMDL8b8yYMZmKNyUlhfDwcMt7MCc8//zzFC9enNdeew2A48ePU7BgQasZQTVr1kx39piIiIjkTV5eXumOX+Cf0on/TnQ2b96cEydOcP78eTZv3kzTpk2xt7enfv36uLq6smnTpgxnsXp5eVGgQIE7jn/OnDmTJpZ/30l4Nz4+Pjg6OqY7Lk99PRm97qyMzQsUKMCnn37K+fPnLYtQ+vn5MWbMGD766KNMH/vy5cuYTCY8PT0BcymVmzdvMm/ePNatW8fUqVN59913GTt2LBUrVsx0fPDPbPzbJ4DkJ3cal0Pa9+m9XN/Uff744487vjczM/Mf/vk8mFNj84EDBxIREUH//v1xcXHhf//73133uf0ukitXrnDkyBGru27t7e0tM9RTUlL47bff8PDwsCrFI3I/UxJdRO4bJpPJqm4imMt2NGzYkPPnz9+xFvOGDRvYuXMnpUqVshrIDxw4EIAPPvjAqmxJejIz0yP1ttjjx4+n2VajRg0AfvvttzTb0mvLjAIFCtC5c2dLbe0jR45w8uRJqz779+8nKioqw+esVasWgOW2xfbt26eZMZNRfPb29hl+eZF6y+3atWuz8IryjtTzkvoB8HY7d+4kLi7O6pbJrF7funXrYjKZsnw7bEZOnDhBSkqK5T2Y3X788UeWL1/OrFmzrOrx//v3Ij4+PssfckVERMR2atWqRUxMjKUU3+1Sx0H/LhOROp5esmQJR44cscxUdXZ2pmHDhmzcuDHdeugADz/8MNevX0+z1lFOqFq1KmfOnLHUgE7l5eVFqVKlOHnypCUBe7t7GZubTCYqVarE0KFDWbduHQCrVq3K1LHDwsI4d+4cVapUsZRySR2bd+rUyaqvYRjp3sWYOn5Pb2xeoUIFvLy82L17Nzdv3sziK7M9Ly8vSpcuzcmTJ9P9IuDf79N7ub6pJU2ya2ye+nkwp8bmwcHBFCtWjPPnz9O5c+dMlempXr06fn5+bN++nTVr1gBpfz+bNWtGWFgYK1asIDw8nMaNG1vuDBC53ymJLiL5yhdffJHhQjUrV67k6NGj+Pj4ULVqVUv7tGnTcHJy4vnnn+enn35Ks9+uXbvo3bs3JpOJTz/91CpB3KdPH5o0acLmzZt56qmniIyMTLP/5cuXLTXa7ya1jlzqIi+36927N/b29kyePNlqVkRERESaRTDvJLXu5O0SExMtsx3+vUjqrVu3LAtHpVqzZg0bNmygatWqljrkqbMqtm7datX38OHDjB8/Pt1YUmtwp3eb7ODBg7G3t2f06NFpFj0yDCNL9dVtoXfv3jg4ODB58mSrWBMSEiwzsfv372/VPyvXt0iRIjzxxBP8/vvvfPzxx+l+ibNz505iYmIyFW/qey71PZidIiIiGDJkCMOGDbOqdV6pUiUiIiIsH+QiIyP57bffqFSpUrbHICIiIjmjX79+AIwaNcqqtN25c+eYPHkyDg4OaWa5pibRU2da317uoUWLFhw4cIC1a9dSvnz5NIvJpy7wPmDAAEvd8ttdunSJo0ePZsMrM4+L4uPjrRaPT9WnTx8SEhJ4++23rdrXrl2bqXroAKGhoYSGhqZpT53p/O9xOZgXsDx06JDlsWEYvPHGGyQnJ1uNLTMam0+YMIE///wzzXFTa3CnV+bSwcGBZ599lvDwcIYPH54m0R4eHp7upJu8pF+/fiQmJjJq1CircfOhQ4eYN28e3t7edO7c2dKe1ev71FNP4enpyZtvvsnhw4fTbI+JibHUTc+MnTt34uDgYLlzOrvZ29uzcuVKvv/++ww/q/2bnZ0dzZo1IzY2lo8++ggXFxfq169v1Sf1s0RquSXVQ5cHib4uEpF85ddff2Xw4MGULVuWRo0aUbRoUaKjo9m/fz+//fYbdnZ2fPbZZ1b1y+vUqcN3331Hr169eOyxx2jQoAENGjTAwcGBAwcOsH79euzt7Zk1axbt27e3ej4HBwdWrlxJ9+7dmT9/PqtWraJt27aUKlWKhIQEjhw5wubNm0lMTOTJJ5+8a/zVq1endOnSltkntytbtixvv/02Y8aMoXr16jzxxBM4ODiwfPlyqlevnu7s9fR07twZLy8v6tevT2BgIImJiaxbt44jR47QrVu3NLcYNmnShJkzZ7Jz507q169PaGgo3377La6ursyePdvSr169etSrV49vvvmGixcvUr9+fc6ePcuqVato37493333XZpYWrZsyZ49e3jkkUdo0qQJTk5ONG3alKZNm1KtWjWmTp3KCy+8QJUqVejcuTOBgYFcunSJkJAQ2rdvz9SpUzP1mm2hTJkyfPjhh4wcOdJyvdzd3fnxxx85fvw4nTp1snpP3Mv1/eyzzzh+/DivvvoqCxcupEGDBvj4+HDu3Dn27NnDiRMnuHjxYqZqKa5btw4HB4dML0KaFa+//jp2dnZpvozp3bs3o0eP5vHHH6dXr15s3ryZW7du8eKLL2Z7DCIiIpIz+vTpw4oVK/jhhx+oXr06HTp0IDo6mmXLlnHjxg0mTZpE6dKlrfapUKECAQEBXLx4kQIFClC9enXLthYtWpCSksL169fp1q1bmudr164db731Fu+99x5ly5alXbt2BAYGcv36dU6ePMlvv/3G+++/ny1fynfp0oWpU6eybt26NCUpXn31VVasWMGsWbM4fPgwTZs25dy5c3zzzTe0b9+en3/++a7HP3DgAI8//jj16tWzLGJ5/vx5Vq5ciZ2dHSNGjEizT3BwMA0aNKBnz574+/uzYcMG9uzZQ/369Xn++ect/QYPHszcuXPp2rUrTzzxBAUKFGDHjh3s27cv3fgqVqxI0aJFWbp0Kc7OzhQvXhyTycTzzz+Pt7c37777Ljt27GDhwoXs2LGDRx55BGdnZ06fPs3q1avZunXrHRemtLVXX32Vn3/+mYULF3L06FFatWrFlStXWLZsGUlJScyaNctSCie1f1aur7+/P0uWLKF79+7UqFGDdu3aUbFiReLj4wkNDWXLli00bNgwUxOroqKi2LFjB23atElzJ3V2qlOnDnXq1MnSPi1atOD777/nzz//pHnz5mnWBatduzYeHh6WL2qURJcHiiEiko8cO3bM+Oijj4w2bdoYpUqVMlxcXAwXFxejTJkyRr9+/Yw9e/ZkuO/58+eNl19+2ahSpYrh7u5uuLi4GGXLljUGDx5s/PXXX3d83pSUFOO7774zOnfubBQtWtRwcnIy3NzcjKpVqxovvPCCceTIkUy/hg8//NAAjJ07d6a7fdasWUblypUNJycno3jx4sbLL79sxMTEGIDRrFkzq779+vUzAOPMmTOWts8++8zo2LGjERgYaLi4uBgFChQw6tWrZ8ycOdNISEiw9Dtz5owBGP369TP+/PNP49FHHzW8vLwMd3d3o3Xr1umeyytXrhgDBgwwihYtari4uBjVqlUzZsyYYZw+fdpyrNtFRkYagwYNMgICAgx7e3sDMMaMGWPVZ9OmTUaHDh0MPz8/y2vu2rWrsW3bNkufMWPGGICxadOmNDHNnTvXAIy5c+emez7/Lb3z+O/z8W+bNm1KN3bDMIwffvjBaNasmeHp6Wk4Ozsb1apVMyZNmmQkJiam+/xZub6GYRgxMTHGRx99ZDz00EOGu7u74erqapQqVcro3LmzsWDBAqvnSe/9YBiGER0dbXh4eBidO3e+06mxcqdzfrutW7caJpPJ+OWXX9LdvmvXLqNevXqGk5OTUapUKWPRokUZHiswMNAIDAzMdIwiIiJyb1LHPcHBwZnqn5iYaEycONGoVq2a4ezsbHh6ehrNmjUzfvjhhwz36d27twEYXbt2tWpPSEgwPDw8DMBYsmRJhvuvW7fOeOyxxwx/f3/D0dHRKFKkiNGgQQPjvffeM86ePWvpl9Wx4L9VrlzZqFy5crrbrl+/bjzzzDOGv7+/4eLiYjz00EPGihUrMnzOf4/nzp07Z7z++utG/fr1jUKFChlOTk5GyZIljccff9zYvn271b63j71mzZplVKlSxXB2djYCAgKM4cOHGxEREWni27Rpk9GoUSPD09PT8PHxMR599FFj7969GY7jduzYYRm3AmnGjXFxccbEiRONmjVrGq6uroaHh4dRuXJlY+TIkcbNmzct/e40ZmvWrJmR2VTTna7dncaiGY15o6KijLfeessoX7684eTkZPj4+BiPPPKI8dtvv6X7/Fm9voZh/jw6cOBAIzAw0HBycjJ8fX2NatWqGS+88IKxa9cuq74Zje/nzZtnAMbKlSszOjVp3OmcZ/X32dnZOcNj/fHHH5b3xtixY9PtExwcbACGl5eXkZSUdM9xi+Q3JsO4S5FfERHJVjdu3KB06dJ0796dWbNm2SyO0NBQSpUqRb9+/Zg3b57N4pCcN3v2bAYNGsSWLVto2rRppvYZO3Ys77zzDps2bUpTCzGnBAUFAaR727OIiIhITvjqq694+umn2bp1K40aNbJZHLYYe4ltNGnShMuXL3P06NE0a01lJL+Ok/Nr3CLpUU10EZFc5ufnx6hRo5g/f36aWuAi2S0pKYkPPviAjh07ZjqBfrsWLVpgMpl4/fXXcyA6OHbsGCaTCZPJpN8HERERyXX9+/enSpUqlhrPIjlpw4YNbN26lQ8//DDTCfRUYWFhlnHzsWPHcijC/07je7lfqSa6iIgNDB8+nPj4eM6ePZumRrlIdjp79ix9+/alT58+Wdrv3zOgGjdunI1R/aNgwYKMGTPG8tjHxydHnkdEREQkPfb29syZM4dff/2VyMhIq7rZItktPDyciRMn0qVLlyzt9+KLL3Lr1i3L44IFC2ZzZNlH43u5X6mci4jIA0rlXERERERE8gaVcxERyduURBcRERERERERERERyYBqoouIiIiIiIiIiIiIZEBJdBERERERERERERGRDCiJLiIiIiIiIiIiIiKSASXRRUREREREREREREQyoCS6iIiIiIiIiIiIiEgGlEQXEREREREREREREcmAkugiIiIiIiIiIiIiIhlQEl1EREREREREREREJANKoouIiIiIiIiIiIiIZEBJdBERERERERERERGRDCiJLiIiIiIiIiIiIiKSASXRRUREREREREREREQy4GDrACR7pKSkcOHCBTw9PTGZTLYOR0RERETuwDAMIiMjKVq0KHZ2mtdyv9HYXERERCR/yOy4XEn0+8SFCxcoUaKErcMQERERkSw4d+4cxYsXt3UYks00NhcRERHJX+42LlcS/T7h6ekJmC+4l5eXjaMRERERkTuJiIigRIkSljGc3F80NhcRERHJHzI7LlcS/T6Repuol5eXBuoiIiIi+YRKfdyfNDYXERERyV/uNi5XAUYRERERERERERERkQwoiS4iIiIiIiIiIiIikgEl0UVEREREREREREREMqAkuoiIiIiIiIiIiIhIBpREFxERERERERERERHJgIOtAxAREREREXlQGYZBcnIySUlJtg5F7nOOjo7Y29vbOgwREZF8SUl0ERERERGRXGYYBrdu3eLq1askJyfbOhx5QPj4+FCkSBFMJpOtQxEREclXlEQXERERERHJZZcuXeLWrVt4eXnh5eWFg4ODEpuSYwzDICYmhitXrgAQEBBg44hERETyFyXRRUREREREclFycjLh4eH4+/tTsGBBW4cjDwhXV1cArly5QqFChVTaRUREJAu0sKiIiIiIiEguSkxMxDAM3N3dbR2KPGDc3NwA83tQREREMk8z0UXuYMq6v2wdQo4b0aa8rUMQEREReSCpfIvkNr3n5D/bNN7WEYjIg6DFKFtHkIZmoouIiIiIiIiIiIiIZEBJdBERERERERERERGRDCiJLiIiIiIiIjZhMpkYNmyYrcOwEhoaislkYt68ebYORURERPIIJdFFREREREQk2506dYpnn32W0qVL4+LigpeXF40aNWLatGnExsbaOjwRERGRTNPCoiIiIiIiInlIXljc/r8uPv/zzz/TvXt3nJ2d6du3L1WrViUhIYGtW7fyyiuvcPjwYb788stsijZ7BQYGEhsbi6Ojo61DERERkTxCSXQRERERERHJNmfOnKFnz54EBgayceNGAgICLNuGDh3KyZMn+fnnn3MtnujoaNzd3TPd32Qy4eLikoMRiYiISH6jci4iIiIiIiKSbT766COioqL46quvrBLoqcqWLcvw4cOt2lauXEnVqlVxdnamSpUqrF692mp7WFgYQ4YMoUKFCri6ulKgQAG6d+9OaGioVb958+ZhMpnYsmULQ4YMoVChQhQvXtyyfcaMGZQuXRpXV1fq1avHb7/9RvPmzWnevLmlT3o10fv374+Hhwfnz5+nc+fOeHh44O/vz8svv0xycrJVDNevX6dPnz54eXnh4+NDv379OHjwoOqsi4iI5GOaiS4iIiIiIiLZ5scff6R06dI0bNgwU/23bt3KihUrGDJkCJ6ennzyySd07dqVs2fPUqBAAQB2797N77//Ts+ePSlevDihoaHMnDmT5s2bc+TIEdzc3KyOOWTIEPz9/Xn77beJjo4GYObMmQwbNowmTZowYsQIQkND6dy5M76+vlaJ9owkJycTHBzMww8/zMSJE1m/fj2TJk2iTJkyPPfccwCkpKTw2GOPsWvXLp577jkqVqzIDz/8QL9+/bJyCkXyrO2nr9s6BBF5ADRoYesI0lISXURERERERLJFREQE58+fp1OnTpne5+jRoxw5coQyZcoA0KJFC2rUqMGSJUsYNmwYAO3bt6dbt25W+z322GM0aNCA5cuX06dPH6ttfn5+bNiwAXt7ewASEhJ46623qFu3Lhs3bsTBwfxRuHr16vTv3z9TSfS4uDh69OjBW2+9BcDgwYOpXbs2X331lSWJvnLlSrZv387UqVMts+2fe+452rRpk+nzISIiInmPyrmIiIiIiIhItoiIiADA09Mz0/u0bt3akkAHc2Lby8uL06dPW9pcXV0tPycmJnL9+nXKli2Lj48P+/btS3PMQYMGWRLoAHv27OH69esMGjTIkkAH+N///oevr2+mYx08eLDV4yZNmljFuXr1ahwdHRk0aJClzc7OjqFDh2b6OURERCTvURJdREREREREsoWXlxcAkZGRmd6nZMmSadp8fX25efOm5XFsbCxvv/02JUqUwNnZmYIFC+Lv78+tW7cIDw9Ps3+pUqWsHoeFhQHmeuy3c3BwICgoKFNxuri44O/vf8c4w8LCCAgISFNe5t/PKyIiIvmLyrmIiIiIiIhItvDy8qJo0aL8+eefmd7n9hnjtzMMw/Lz888/z9y5c3nxxRdp0KAB3t7emEwmevbsSUpKSpp9b5+5nl0yilNERETuf5qJLiIiIiIiItmmQ4cOnDp1iu3bt2fbMb/77jv69evHpEmT6NatG23atKFx48bcunUrU/sHBgYCcPLkSav2pKQkQkNDsy3OwMBALl68SExMjFX7v59XRERE8hcl0UVEREREweA50wABAABJREFURCTbvPrqq7i7u/P0009z+fLlNNtPnTrFtGnTsnRMe3t7q5npAJ9++inJycmZ2r9OnToUKFCAWbNmkZSUZGn/+uuvrcqx/FfBwcEkJiYya9YsS1tKSgozZszItucQERGR3KdyLiIiIiIiIpJtypQpw+LFi+nRoweVKlWib9++VK1alYSEBH7//Xe+/fZb+vfvn6VjdujQgYULF+Lt7U3lypXZvn0769evp0CBApna38nJibFjx/L888/TsmVLnnjiCUJDQ5k3bx5lypTBZDLdwytNq3PnztSrV4+RI0dy8uRJKlasyKpVq7hx4wZAtj2PiIiI5C4l0UVEREREJFcZhsH333/Pp59+yrFjxwgPD6dEiRI0b96c1157jdKlS1v1j4iIYOzYsSxfvpxLly4REBBA9+7dGTNmDB4eHmmOnzrz98svv+TkyZN4eHjQunVrxo0bl+bYqdasWcMHH3zAvn37MJlMPPTQQ4wePZpWrVrlyDm4kxFtyuf6c2a3jh07cujQIT7++GN++OEHZs6cibOzM9WrV2fSpEkMGjQoS8ebNm0a9vb2fP3118TFxdGoUSPWr19PcHBwpo8xbNgwDMNg0qRJvPzyy9SoUYNVq1bxwgsv4OLiktWXmC57e3t+/vlnhg8fzvz587Gzs6NLly6MGTOGRo0aZdvziIiISO4yGf++J07ypYiICLy9vQkPD8fLy8vW4dw3pqz7y9Yh5Lj74UOaiIhIfvOgj91GjhzJ5MmTCQgIoFOnTnh5eXHw4EHWrl2Lh4cHv//+O1WrVgUgOjqaxo0bc+DAAdq2bUutWrXYv38/a9eupW7duoSEhKRJTA4aNIjZs2dTpUoV2rdvz4ULF/jmm2/w8PBgx44dlCtXzqr/okWL6NOnD/7+/vTo0QOAZcuWce3aNb755hu6deuWpdd3t+sbFxfHmTNnKFWqlJKqNpaSkoK/vz+PP/64VQmW7LZy5Uq6dOnC1q1badSoUY49z93ovSf/1favXrZ1CCLyAGgwcGKuPVdmx+WaiS4iIiIiIrnm0qVLTJ06lcDAQA4ePIi3t7dl25QpU3jppZeYPHkyc+bMAeCjjz7iwIEDvPbaa0yYMMHS9/XXX+fDDz9kypQpjBo1ytK+adMmZs+eTdOmTVm3bh1OTk4A9O7dm0cffZRhw4ax5v/Yu++oqK7ub+DfAaRIFUFBQUBEU8RCxBKkqYDGXmJ77KJGYzcWjAbQx4I/OyZGgwGNUdFYUxQsgBFrBE1iNGLDhokNEBQU5rx/+M48jjNDHRjK97MWa8k5e+7d9zIOezZ3zo2Jkcc/ffoUkyZNgpWVFZKSkmBnZwcAmD17Nlq2bInx48cjICAApqamZXpeqOzl5OTAwMBAYUmVLVu24MmTJ/Dx8dHYfl68eAEjIyP59/n5+QgPD4eZmRnc3Nw0th8iIiIqP7yxKBERERERlZtbt25BKpXCw8NDoYEOvF73GgAePnwI4PWyLxERETAxMcH8+fMVYufPnw8TExNEREQojMuuJl64cKG8gQ4AXbp0gY+PD2JjY3H79m35+K5du5Ceno5JkybJG+gAYGdnh4kTJ+LRo0fYu3evBo6ctO306dNwc3PD4sWLsWHDBowbNw6BgYFo2rQpPv74Y43tZ9KkSfjPf/6DdevWYcWKFfDy8sKxY8cwZ84cheY6ERERVR5sohMRERERUblxcXGBvr4+EhMTkZmZqTD3008/AYB8HfKUlBTcv38fHh4eMDY2Vog1NjaGh4cHbty4gTt37sjH4+Pj5XNvk62fnZCQoBAPAP7+/kWKVyU3NxeZmZkKX1TxODo6wt7eHmvXrsWkSZOwf/9+DBs2DEePHlX4g0tpdejQAVeuXMHnn3+OuXPnIj09HeHh4QqfmCAiIqLKhcu5EBERERFRualduzaWLl2KGTNm4J133lFYE/3YsWOYMGECJk6cCOB1Ex2A0hrmMi4uLoiJiUFKSgrs7e2RnZ2NtLQ0NG3aFLq6uirj39xuYftQFa/KkiVLEBoaWtihk5Y5OjriwIEDZb6fwYMHY/DgwWW+HyIiIio/bKITEREREVG5mjZtGurXr4/AwEB8/fXX8vH27dtj8ODB0NN7/TYlIyMDAJSWfZGR3fxJFlfc+MIeoypelaCgIEyfPl3+fWZmJuzt7Qt8DBERERFVHlzOhYiIiIiIytWCBQswZMgQzJ07F3fu3MGzZ8/w66+/IicnBz4+PuVytbAmGRgYwMzMTOGLiIiIiKoONtGJiIiIiKjcHDlyBMHBwZg4cSLmzJkDOzs7mJiYoH379vjxxx9Ro0YNzJgxA8D/rg5XdyW4bO1xWVxx4wt7jKp4IiIiIqp+2EQnIiIiIqJyc/DgQQCAr6+v0pyNjQ3eeecdXLt2DVlZWYWuSf72eubGxsawtbXFzZs3kZ+fX2j8m/9WtY/C1mQnIiIiouqBTXQiIiIiIio3L1++BAA8fPhQ5fzDhw+ho6ODGjVqwMXFBfXq1UNiYiKys7MV4rKzs5GYmAgnJyeF9ce9vb3lc2+LiYkBAHh5eSnEA0BsbKzaeFkMEREREVVPbKITEREREVG58fDwAACsXLlSaQmVr7/+Gnfv3kW7du1gYGAAiUSCwMBAZGVlYeHChQqxCxcuRFZWFsaMGaMwPnbsWADA/Pnz5Q174PUV8PHx8fD394eDg4N8vH///jA3N0d4eDju3r0rH7979y7WrVsHKysr9O7dWzMHT0RERESVkp62EyAiIiIiourj448/xvr163H8+HE0btwYPXr0gIWFBZKSknDs2DEYGRlh5cqV8vhZs2Zh//79CAsLQ3JyMtzc3JCUlITY2Fi4u7tj6tSpCtv39fVFYGAgIiIi4Obmhq5duyItLQ3R0dGwtLREeHi4QnytWrWwbt06DB06FG5ubhgwYAAAIDo6Go8fP0Z0dDRMTU3L/LwQERERUcXFK9GJiIiIiKjc6OrqIjY2FkuWLEH9+vWxbds2rF69Gn///TeGDBmC8+fPo3Xr1vJ4Y2NjJCQkYOrUqbh8+TJWrFiBK1euYMaMGTh69CiMjIyU9rFhwwasWbMGALBmzRr88ssv6N27N86ePYvGjRsrxQ8ZMgQHDx7EO++8g8jISERFReG9995DbGwsPv7447I7GURERERUKUiEEELbSVDpZWZmwtzcHBkZGTAzM9N2OlXGqsNXtZ1CmZvmp/xGkoiIiMoWa7eqrbCfb05ODm7evAknJycYGhpqIcOKJSQkBKGhodD0W9Nbt27ByckJ//d//4fPPvtMo9sujfj4ePj6+iIuLg4+Pj7lum8+96i0Tm2qOP+XiKjqajd6ebntq6h1OZdzISIiIiIiqkjilmg7A8A3qMQPjYqKwsiRI+XfGxgYwNLSEq6urujatStGjhzJJXKIiIioUuFyLkRERERERKRxCxYswHfffYf169dj0qRJAICpU6fC1dUVv//+uzxu3rx5ePHihbbSLHdeXl548eIFvLy8tJ0KERERFRGvRCciIiIiIiKN69KlC1q1aiX/PigoCMeOHUO3bt3Qo0cPXL58GUZGRtDT04OeXuV9a5qdnQ1jY+Mix+vo6HApFSIiokqGV6ITERERERFRuejQoQPmz5+P1NRUbN26FcDrNdElEolC3OHDh9G+fXtYWFjAxMQETZo0wdy5cxVicnJyEBISgsaNG8PQ0BC2trbo06cPrl+/rrTfjRs3wtnZGQYGBnB3d8e5c+cU5n///XeMGDECDRs2hKGhIWxsbDBq1Cg8fvxYIU6W619//YXBgwejVq1aaN++PQBAKpUiJCQE9erVQ82aNeHr64u//voLjo6OGDFihHwb8fHxkEgkiI+Pl4/5+PigadOm+Ouvv+Dr64uaNWuifv36WLZsmdKxpKamokePHjA2NkadOnUwbdo0xMTEKG2TiIiINKfy/rmfiIiIiIiIKp2hQ4di7ty5iI2NxZgxY5TmL126hG7duqFZs2ZYsGABDAwMcO3aNSQmJspj8vPz0a1bNxw9ehQDBw7ElClT8OzZMxw+fBh//vknnJ2d5bHbtm3Ds2fPMG7cOEgkEixbtgx9+vTBjRs3UKNGDQCvm/Y3btzAyJEjYWNjg0uXLmHjxo24dOkSTp8+rdTk//jjj+Hi4oLFixfLb4gaFBSEZcuWoXv37ggICMDFixcREBCAnJycIp2Xp0+fonPnzujTpw/69++PH374AbNnz4arqyu6dOkC4PVV7x06dEBaWhqmTJkCGxsbbNu2DXFxccX7IRAREVGxsIlORERERERE5cbOzg7m5uYqrxgHXje0X758iYMHD8LKykplzJYtW3D06FGsXLkS06ZNk4/PmTNH3tSWuX37NlJSUlCrVi0AQJMmTdCzZ0/ExMSgW7duAIAJEyZgxowZCo9r27YtBg0ahBMnTsDT01Nhrnnz5ti2bZv8+3/++QcrV65Er169sHfvXvl4aGgoQkJCCjkjr92/fx9btmzB0KFDAQCjR4+Gg4MDNm3aJG+ib9iwATdu3MC+ffvQs2dPAMC4cePQsmXLIu2DiIiISqbaLOeSk5OD6dOnw8vLC/Xq1ZN/RM/DwwORkZF49eqV0mMyMzMxffp0ODg4wMDAAI6Ojpg5cyaysrJU7kMqlSI8PByurq4wMjKCtbU1Bg0ahBs3bqjNKyYmBt7e3jA1NYWZmRl8fX1x9OhRjR03ERERERFRRWNiYoJnz56pnLOwsAAA7N+/H1KpVGXM7t27YWVlJb9h6Zvevmp8wIAB8gY6AHlD/M33aUZGRvJ/5+Tk4NGjR2jbti0AICkpSWkfn3zyicL3R48eRV5eHiZMmKAwrio/dUxMTDBkyBD59/r6+mjdurVCnocOHUL9+vXRo0cP+ZihoaHKK/qJiIhIc6pNEz0rKwvr16+HRCJB165dMX36dPTu3Rv37t3DqFGj0K1bN4UCLTs7G97e3li1ahXeeecdTJs2DU2aNMHy5cvRoUMHlR/JGzduHCZPngwhBCZPnozOnTtjz549cHd3R0pKilL81q1b0blzZ1y+fBkjRozA8OHDcenSJfj5+eGHH34o0/NBRERERESkLVlZWTA1NVU5N2DAAHh4eCAwMBB169bFwIEDsXPnToX3a9evX0eTJk2KdEPSBg0aKHwva6g/ffpUPvbkyRNMmTIFdevWlV8Q5eTkBADIyMhQ2qZsTiY1NRUA0KhRI4VxS0tLhQZ+Qezs7JT+AFCrVi2FPFNTU+Hs7KwU9/Z+iYiISLOqzXIulpaWyMjIgL6+vsJ4Xl4e/Pz8EBsbi4MHD6Jr164AgGXLluHChQuYPXs2li5dKo+fM2cOwsLCsGrVKgQFBcnH4+LiEBERAS8vLxw+fFi+n8GDB+Ojjz7CxIkTERMTI49/+vQpJk2aBCsrKyQlJcHOzg4AMHv2bLRs2RLjx49HQECA2sKSiIiIiIioMrp79y4yMjLUNn6NjIxw/PhxxMXF4eeff8ahQ4cQHR2NDh06IDY2Frq6usXan7r4N5d96d+/P06ePImZM2eiRYsWMDExgVQqRefOnVVeDf/mleuaUpQ8iYiISDuqzZXoOjo6Sg10ANDT00Pv3r0BANeuXQPwukiJiIiAiYkJ5s+frxA/f/58mJiYICIiQmH8m2++AQAsXLhQYT9dunSBj48PYmNjcfv2bfn4rl27kJ6ejkmTJskb6MDrqw8mTpyIR48eKaylR0REREREVBV89913AICAgAC1MTo6OujYsSNWrlyJv/76C4sWLcKxY8fkN9B0dnbG33//rXJZzuJ6+vQpjh49ijlz5iA0NBS9e/eGn58fGjZsWORtODg4APjfe0qZx48fK1xJXloODg64fv26UmP97f0SERGRZlWbJro6UqkUhw4dAgA0bdoUAJCSkoL79+/Dw8MDxsbGCvHGxsbw8PDAjRs3cOfOHfl4fHy8fO5tsuIwISFBIR4A/P39ixT/ttzcXGRmZip8ERERERERVWTHjh3DwoUL4eTkhP/85z8qY548eaI01qJFCwCv3wcBQN++ffHo0SOsW7dOKba4V27LrgB/+3GrV68u8jY6duwIPT09rF+/XmFcVX6lERAQgHv37uHAgQPysZycHPlFXURERFQ2qs1yLjIvX77E4sWLIYTA48ePcfToUVy5cgUjR45Ex44dAUC+frmLi4vKbbi4uCAmJgYpKSmwt7dHdnY20tLS0LRpU5UfwZNt58110Qvah6r4ty1ZsgShoaFFOWQiIiIiIqJyd/DgQVy5cgV5eXn4559/cOzYMRw+fBgODg44cOAADA0NVT5uwYIFOH78OLp27QoHBwf8+++/+Oqrr2BnZ4f27dsDAIYNG4YtW7Zg+vTpOHv2LDw9PZGdnY0jR45gwoQJ6NmzZ5HzNDMzg5eXF5YtW4ZXr16hfv36iI2Nxc2bN4u8jbp162LKlClYsWIFevTogc6dO+PixYs4ePAgrKyslNYwL6lx48Zh3bp1GDRoEKZMmQJbW1t8//338nOpqf0QERGRomrZRH+z+SyRSPDZZ59hyZIl8jHZjWPMzc1VbsPMzEwhrrjxhT1GVfzbgoKCMH36dPn3mZmZsLe3VxtPRERERESVhG9Q4TGVwBdffAEA0NfXh6WlJVxdXbF69WqMHDmywHs/9ejRA7du3cK3336LR48ewcrKCt7e3ggNDZW/f9LV1cUvv/yCRYsWYdu2bdi9ezdq166N9u3bw9XVtdi5btu2DZMmTcKXX34JIQT8/f1x8OBB1KtXr8jbCAsLQ82aNfHNN9/gyJEjaNeuHWJjY9G+fXu1fzAoLhMTExw7dgyTJk3CmjVrYGJigmHDhuHDDz9E3759NbYfIiIiUlTtmugmJiYQQkAqleL+/fv48ccfMXfuXJw6dQq//PKLvIFd0RkYGMDAwEDbaRARERERESkYMWIERowYUeT4kJAQhISEyL/v0KEDOnToUOjjjIyM8N///hf//e9/Vc47OjqqXdrl7fH69etjz549hca9neubdHV1sWDBAixYsEA+lp6ejsePHyvcB8vHx0dpu7LlPt8WFRWlNObk5ISffvpJYUy29Myb+yEiIiLNqbZrouvo6MDOzg7jx4/Hxo0bkZiYiEWLFgH439Xh6q4El60/Losrbnxhj1EVT0RERERERBXXixcvlMZkzW0fH58y209OTg42bNgAFxcX1K9fX2P7ISIiov+pNFei5+bmQkdHBzVq1ND4tmU395T99b+wNcnfXs/c2NgYtra2uHnzJvLz85XWRVe1/rmLiwt+++03pKSkoHbt2oXGExERERFVFGVZmxNVVtHR0YiKisJHH30EExMTnDhxAtu3b4e/vz88PDw0tp8+ffqgQYMGaNGiBTIyMrB161ZcuXIF33//vcb2QURERIoq1JXox48fxxdffIH09HT52OPHj9GlSxeYmJjA3Nwcc+bM0fh+79+/DwDyNwEuLi6oV68eEhMTkZ2drRCbnZ2NxMREODk5KaxB7u3tLZ97W0xMDADAy8tLIR4AYmNj1cbLYoiIiIiIypu2anOiyqpZs2bQ09PDsmXLMHXqVPz666+YMmUKdu/erdH9BAQEIDExETNnzkRoaCgMDAywY8cODB48WKP7ISIiov+pUE305cuXY9u2bbCwsJCPzZgxAzExMXBycoKFhQX+7//+Dzt37iz2tv/66y88f/5cafz58+fyG3R+9NFHAF7fbDQwMBBZWVlYuHChQvzChQuRlZWFMWPGKIyPHTsWADB//ny8fPlSPn7w4EHEx8fD398fDg4O8vH+/fvD3Nwc4eHhuHv3rnz87t27WLduHaysrNC7d+9iHycRERERkSaUZW1OVBW5ubnhyJEjePToEV6+fIk7d+5g9erVMDEx0eh+pk6dij///BNZWVl48eIFzp8/jwEDBmh0H0RERKSoQi3nkpycjI4dO8q/z8nJwc6dO+Hv749Dhw7h2bNnaNasGdavX4/+/fsXa9s7d+7EypUr0b59ezg6OsLMzAz37t3DwYMH8fjxY3h6emLatGny+FmzZmH//v0ICwtDcnIy3NzckJSUhNjYWLi7u2Pq1KkK2/f19UVgYCAiIiLg5uaGrl27Ii0tDdHR0bC0tER4eLhCfK1atbBu3ToMHToUbm5u8qInOjoajx8/RnR0dIF3rCciIiIiKktlWZsTEREREVUmFaqJ/vjxY4UboZw6dQo5OTkYOXIkAMDU1BTdunUr0cfhunXrhvv37+PkyZM4deoUsrKyYG5ujmbNmmHgwIEYNWoU9PT+dzqMjY2RkJCAkJAQ7N69G3FxcbC1tcWMGTMQHBwMIyMjpX1s2LABrq6u2LhxI9asWQMTExP07t0bixYtgrOzs1L8kCFDYGVlhcWLFyMyMhISiQQffPAB5s2bh06dOhX7GImIiIiINKUsa3N6TQih7RSomuFzjoiIqGQqVBPdyMgIz549k38fFxcHiUSisDa4iYkJnj59Wuxtt2rVCq1atSrWY8zNzbFq1SqsWrWqSPE6OjqYPHkyJk+eXOR9dO7cGZ07dy5WXkREREREZa0sa/PqrkaNGpBIJMjOzlZ5cQ5RWZEtccqbAhMRERVPhWqiN2rUCIcOHUJubi4kEgl27NiB9957DzY2NvKY27dvo06dOlrMkoiIiIio6mNtXnZ0dXVhbm6Ohw8fIjc3F2ZmZtDT04NEItF2alRFCSHw/Plz/Pvvv7CwsICurq62UyIiIqpUKlQTfcyYMRg7diwaNWoEfX193Lp1C//3f/+nEHP+/Hm89957WsqQiIiIiKh6YG1etmxsbGBkZIR///0XmZmZ2k6HqgkLCwuFP4QRERFR0VSoJvro0aORkpKCTZs24cWLFxg/frzCDTxPnTqFq1evIjAwUHtJEhERERFVA6zNy5ZEIoGFhQXMzc2Rn5+PvLw8badEVVyNGjV4BToREVEJSUQlurPIy5cv8eLFCxgbGyvcBJSAzMxMmJubIyMjA2ZmZtpOp8pYdfiqtlMoc9P8Gms7BSIiomqnKtRurM3Vqwo/XyIiVU5t+kzbKRBRNdBu9PJy21dR67ZKVe3q6+tDX19f22kQEREREVV7rM2JiIiIqLrQ0XYCquzduxf9+/dHs2bN0KhRI/n4lStXsGzZMty7d0+L2RERERERVR+szYmIiIiouqtQV6JLpVIMGjQIP/zwAwDAyMgIL168kM/XqlULn3/+OfLz8xEUFKStNImIiIiIqjzW5kREREREr1WoK9FXrVqFXbt2Ydy4cXj69Ck++0xxra26devC09MTP//8s5YyJCIiIiKqHlibExERERG9VqGa6FFRUXB3d8dXX30FMzMzSCQSpZhGjRrh5s2bWsiOiIiIiKj6YG1ORERERPRahWqiX7t2DZ6engXG1K5dG48fPy6njIiIiIiIqifW5kREREREr1WoJrqRkREyMjIKjElNTYWFhUX5JEREREREVE2xNiciIiIieq1CNdFbtmyJmJgY5OTkqJx/8uQJDh06hLZt25ZzZkRERERE1QtrcyIiIiKi1ypUE33y5Mm4e/cu+vbti7t37yrMXb9+Hb1790ZGRgYmT56spQyJiIiIiKoH1uZERERERK/paTuBN/Xs2ROzZ89GWFgYHBwcYGxsDACoU6cOHj9+DCEE5s+fjw4dOmg5UyIiIiKiqo21ORERERHRaxXqSnQAWLJkCWJiYtCtWzfUrFkTurq6kEql6Ny5Mw4ePIjQ0FBtp0hEREREVC2wNiciIiIiqmBXosv4+fnBz89P22kQEREREVV7rM2JiIiIqLqrcFeiExERERERERERERFVFBWqif7TTz+hT58+uH//vsr5+/fvo0+fPjh48GA5Z0ZEREREVL2wNiciIiIieq1CNdG//PJLXL9+HfXq1VM5X69ePdy8eRNffvllOWdGRERERFS9sDYnIiIiInqtQjXRL168iDZt2hQY06ZNG1y4cKF8EiIiIiIiqqZYmxMRERERvVahmuhPnjxBnTp1CoyxsrLCo0ePyikjIiIiIqLqqTxq871798LPzw+1a9eGoaEhnJycMGjQINy5c0chLjMzE9OnT4eDgwMMDAzg6OiImTNnIisrS+V2pVIpwsPD4erqCiMjI1hbW2PQoEG4ceOG2lxiYmLg7e0NU1NTmJmZwdfXF0ePHi3xsRERERFR1VGhmujW1tb4+++/C4z5+++/YWlpWU4ZERERERFVT2VZmwshMG7cOPTp0wc3b97EwIEDMXXqVHh6euLkyZNITU2Vx2ZnZ8Pb2xurVq3CO++8g2nTpqFJkyZYvnw5OnTogJycHKXtjxs3DpMnT4YQApMnT0bnzp2xZ88euLu7IyUlRSl+69at6Ny5My5fvowRI0Zg+PDhuHTpEvz8/PDDDz8U+/iIiIiIqGrR03YCb/Ly8sLu3bvx+++/o1mzZkrzFy9exIEDB9CnTx8tZEdEREREVH2UZW2+du1abNy4ERMmTMDatWuhq6urMJ+Xlyf/97Jly3DhwgXMnj0bS5culY/PmTMHYWFhWLVqFYKCguTjcXFxiIiIgJeXFw4fPgx9fX0AwODBg/HRRx9h4sSJiImJkcc/ffoUkyZNgpWVFZKSkmBnZwcAmD17Nlq2bInx48cjICAApqamxT5OIiIiIqoaKtSV6LNnzwYAtG/fHgsWLMCpU6dw+/ZtnDp1CqGhofD09ISOjo5CkUxERERERJpXVrX5ixcvEBoaioYNG2LNmjVKDXQA0NN7fa2PEAIREREwMTHB/PnzFWLmz58PExMTREREKIx/8803AICFCxfKG+gA0KVLF/j4+CA2Nha3b9+Wj+/atQvp6emYNGmSvIEOAHZ2dpg4cSIePXqEvXv3FusYiYiIiKhqqVBN9GbNmuH777+HVCpFaGgo2rdvDycnJ7Rv3x6hoaEAgO3bt6u8EoaIiIiIiDSnrGrz2NhYPH36FL169UJ+fj727NmDpUuX4uuvv8a1a9cUYlNSUnD//n14eHjA2NhYYc7Y2BgeHh64ceOGwhrq8fHx8rm3BQQEAAASEhIU4gHA39+/SPFEREREVP1UqOVcAKBv377w9PREVFQUzp07h4yMDFhYWKB169YYPnw4rK2ttZ0iEREREVG1UBa1+fnz5wEAurq6aNasGa5evSqf09HRwbRp07B8+XIAkK9f7uLionJbLi4uiImJQUpKCuzt7ZGdnY20tDQ0bdpU5RXusu28uS56QftQFa9Kbm4ucnNz5d9nZmYWGE9ERERElUuFa6IDQJ06dTBr1ixtp0FEREREVO1pujb/999/AQArV66Em5sbzp49i3fffRfJyckYO3YsVqxYAWdnZ4wfPx4ZGRkAAHNzc5XbMjMzAwB5XHHjC3uMqnhVlixZIr86n4iIiIiqngq1nAsREREREVVtUqkUAKCvr499+/bB3d0dJiYm8PT0xK5du6Cjo4MVK1ZoOcviCQoKQkZGhvzrzeVliIiIiKjyq5BXop89exbnzp1Deno68vPzleYlEonSjYWIiIiIiEjzNF2by674btWqFerVq6cw17RpUzRs2BDXrl1Denq6PFbdleCyZVNkccWNf/sxtWvXLjReFQMDAxgYGBQYQ0RERESVV4Vqoj958gS9evVCYmIihBBq49hEJyIiIiIqW2VVmzdp0gQAYGFhoXJeNv7ixYtC1yR/ez1zY2Nj2Nra4ubNm8jPz1daF13V+ucuLi747bffkJKSotREL2xNdiIiIiKqHkrVRNfV1cXAgQPx/fffaySZ6dOn48SJE/Dx8cHw4cNhZ2cHPb0K1ecnIiIiIqpwNF2XA2VXm/v6+gIALl++rDT36tUrXLt2DcbGxrC2toaNjQ3q1auHxMREZGdnw9jYWB6bnZ2NxMREODk5wd7eXj7u7e2NHTt2IDExEV5eXgrbj4mJAQCFcW9vb2zfvh2xsbFo27atynhvb+9SHjURERERVWalqoLNzMwUCtbS+umnn9C6dWscPXoUEolEY9slIiIiIqrKNF2XA2VXmzs7O8Pf3x+xsbGIiIhAYGCgfG7p0qVIT0/HkCFD5A37wMBALFiwAAsXLsTSpUvlsQsXLkRWVhbmzp2rsP2xY8dix44dmD9/Pg4fPgx9fX0AwMGDBxEfHw9/f384ODjI4/v374/Zs2cjPDwco0aNgp2dHQDg7t27WLduHaysrNC7d2+NHT8RERERVT6laqK3bt0aFy9e1FQuePHiBby8vNhAJyIiIiIqBk3X5UDZ1uZfffUVPvzwQ4wZMwb79u3DO++8g+TkZBw7dgwODg74v//7P3nsrFmzsH//foSFhSE5ORlubm5ISkpCbGws3N3dMXXqVIVt+/r6IjAwEBEREXBzc0PXrl2RlpaG6OhoWFpaIjw8XCG+Vq1aWLduHYYOHQo3NzcMGDAAABAdHY3Hjx8jOjoapqamGj8HRERERFR56JTmwSEhITh27Bi2bNmikWRatGiBW7duaWRbRERERETVhabrcqBsa3NnZ2f89ttvGDFiBM6fP4+1a9ciJSUFn376Kc6ePQsbGxt5rLGxMRISEjB16lRcvnwZK1aswJUrVzBjxgwcPXoURkZGStvfsGED1qxZAwBYs2YNfvnlF/Tu3Rtnz55F48aNleKHDBmCgwcP4p133kFkZCSioqLw3nvvITY2Fh9//HGZnAMiIiIiqjwkoqC7BBViwYIFSExMxJEjR+Dm5gZ3d3fUrVtX6WqVot5sKDY2Fj169EB8fLzSeoRUsMzMTJibmyMjIwNmZmbaTqfKWHX4qrZTKHPT/JTfSBIREVHZ0nTtpum6HGBtXhqszYmoqjq16TNtp0BE1UC70cvLbV9FrdtKtZxLSEiI/N/nz5/H+fPnVcYVtVh/8OABunbtCm9vb/znP/+Bm5ub2uSHDRtWopyJiIiIiKoaTdflAGtzIiIiIiKZUl2JnpCQUOTYotzRXkdHBxKJBG+m9PbVM0IISCQS5OfnFz3RaoBXu5QNXolOREREZUHTtZum63KAtXlpsDYnoqqKV6ITUXmocleiF7UAL6rIyEiNbo+IiIiIqDrQdF0OsDYnIiIiIpIpVRNd04YPH67tFIiIiIiICKzNiYiIiIhkdEq7gby8PKxatQqtW7eGmZkZ9PT+15e/cOECJkyYgKtXq/6SGERERERE2sS6nIiIiIiobJSqif7ixQv4+vris88+Q2pqKszMzBTWTHRyckJkZCS2bNlSrO3u3bsX/fv3R7NmzdCoUSP5+JUrV7Bs2TLcu3evNGkTEREREVUpZVWXA6zNiYiIiIhK1URfvHgxEhMTsWTJEjx48ACBgYEK8+bm5vD29kZMTEyRtieVSjFgwAD069cPu3fvxo0bN3Dz5k35fK1atfD555+XqPgnIiIiIqqqNF2XA6zNiYiIiIhkStVEj46Ohq+vL2bNmgWJRAKJRKIU07BhQ9y+fbtI21u1ahV27dqFcePG4enTp/jsM8W7PtetWxeenp74+eefS5M2EREREVGVoum6HGBtTkREREQkU6om+u3bt9GqVasCY0xNTZGRkVGk7UVFRcHd3R1fffUVzMzMVBb/jRo1UrgChoiIiIioutN0XQ6wNiciIiIikilVE93U1BT//vtvgTHXr1+HtbV1kbZ37do1eHp6FhhTu3ZtPH78uMg5EhERERFVdZquywHW5kREREREMqVqordt2xY//vgj0tPTVc7fuXMHv/zyC7y8vIq0PSMjo0KvjklNTYWFhUUxMyUiIiIiqro0XZcDrM2JiIiIiGRK1USfOXMmnj59io4dOyIxMRF5eXkAgOfPn+Po0aMICAhAXl4epk+fXqTttWzZEjExMcjJyVE5/+TJExw6dAht27YtTdpERERERFWKputygLU5EREREZGMXmke7OXlhXXr1mHKlCkKV7WYmpoCAHR1dfHVV1/hgw8+KNL2Jk+ejN69e6Nv377YsGGDwtz169cxatQoZGRkYPLkyaVJm4iIiIioStF0XQ6wNiciIiIikilVEx0Axo8fDx8fH3z99dc4c+YMnjx5AjMzM7Rp0wYTJkzA+++/X+Rt9ezZE7Nnz0ZYWBgcHBxgbGwMAKhTpw4eP34MIQTmz5+PDh06lDZtIiIiIqIqRZN1OcDanIiIiIhIptRNdAB49913sWbNGk1sCkuWLEGHDh2wbt06nDlzBjk5OZBKpejcuTMmT56MgIAAjeyHiIiIiKiq0WRdDrA2JyIiIiICNNRE15Tbt29DX18ffn5+8PPz03Y6RERERETVFmtzIiIiIqLXSnVjUZm9e/eiZ8+eaNCgAczNzdGgQQP07NkT+/btK9Z2nJycMHfuXE2kRERERERU7WiqLgdYmxMRERERyZTqSvS8vDwMHjwYu3fvhhACenp6qF27Nh48eIAff/wRP/30E/r27Ytt27ZBT6/wXdWqVQu1a9cuTUpERERERNWOputygLU5EREREZFMqa5EX7JkCX744Qd4enri119/RU5ODtLS0pCTk4Pjx4+jffv22L17N5YuXVqk7Xl6euLMmTOlSUmte/fuYfXq1fD390eDBg2gr68PGxsb9O3bV+0+MzMzMX36dDg4OMDAwACOjo6YOXMmsrKyVMZLpVKEh4fD1dUVRkZGsLa2xqBBg3Djxg21ecXExMDb2xumpqYwMzODr68vjh49qpFjJiIiIqLqQdN1OVC2tTkRERERUWUiEUKIkj64YcOGMDQ0xO+//67yipZXr16hWbNmyM3NLbCRLHPlyhW0bdsW06dPx9y5c4t8lUxRzJkzB2FhYXB2doaPjw+sra2RkpKCffv2QQiBbdu2YcCAAfL47OxstG/fHhcuXIC/vz9atmyJ5ORkxMbGwt3dHcePH4ehoaHCPsaMGYOIiAi8//776Nq1K+7fv4+dO3fCxMQEp0+fhouLi0L81q1bMXToUFhbW8v3HR0djUePHmHnzp3o169fkY8vMzMT5ubmyMjIgJmZWSnOFL1p1eGr2k6hzE3za6ztFIiIiKodTddumq7LgbKtzas61uZEVFWd2vSZtlMgomqg3ejl5bavotZtpaqE09LSMHnyZLUFdY0aNdC9e3eEh4cXaXvLli2Dq6srQkNDsWHDBjRv3hx169aFRCJRiJNIJNi0aVOxcm3dujXi4+Ph7e2tMP7rr7+iY8eOGD9+PHr16gUDAwN5LhcuXMDs2bMVrtiRNeNXrVqFoKAg+XhcXBwiIiLg5eWFw4cPQ19fHwAwePBgfPTRR5g4cSJiYmLk8U+fPsWkSZNgZWWFpKQk2NnZAQBmz56Nli1bYvz48QgICICpqWmxjpOIiIiIqh9N1+VA2dbmRERERESVSama6Pb29mqXNpHJzs5GgwYNirS9qKgo+b/T0tKQlpamMq4khXqfPn1Ujnt6esLX1xexsbH4448/0KpVKwghEBERARMTE8yfP18hfv78+fjyyy8RERGh0ET/5ptvAAALFy6UN9ABoEuXLvDx8UFsbCxu374tPxe7du1Ceno6QkND5Q10ALCzs8PEiRMREhKCvXv3YtiwYcU6TiIiIiKqfjRdlwNlW5sTEREREVUmpVoTPTAwEDt37lRbUN+7dw/R0dEIDAws0vZu3rxZpK+ifgS1qGrUqAEA8it3UlJScP/+fXh4eMDY2Fgh1tjYGB4eHrhx4wbu3LkjH4+Pj5fPvS0gIAAAkJCQoBAPAP7+/kWKJyIiIiJSR9N1OaC92pyIiIiIqKIp1pXot2/fVvi+f//+SExMRMuWLTF16lS0b98edevWxT///INff/0Va9asQfv27fHxxx8XafsJCQmoW7euvIlcHm7fvo0jR47A1tYWrq6uAF430QEorWEu4+LigpiYGKSkpMDe3h7Z2dlIS0tD06ZNoaurqzL+ze0Wtg9V8W/Lzc1Fbm6u/PvMzMwCj5OIiIiIqo6yrssB7dTmREREREQVUbGa6I6OjkprIAKAEAKff/65yvEDBw7gp59+Ql5eXqHbHz16NCZOnFhuhfqrV68wdOhQ5ObmIiwsTN4Az8jIAACYm5urfJxskXlZXHHjC3uMqvi3LVmyBKGhoWrniYiIiKjqKuu6HCj/2pyIiIiIqKIqVhN92LBhKot1TbG1tS1yUV9aUqkUI0aMwPHjxzFmzBgMHTq0XParKUFBQZg+fbr8+8zMTNjb22sxIyIiIiIqL2VdlwPlW5sTEREREVVkxWqiv3lzobLQo0cPHD58GLm5uTAwMCiz/UilUowaNQrbtm3DkCFD8PXXXyvMy64OV3cluGzpFFlccePffkzt2rULjX+bgYFBmZ4jIiIiIqq4yrouB8qvNiciIiIiquhKdWNRTVu0aBGMjY3Rp08fXLp0qUz2IZVKMXLkSGzevBmDBg1CVFQUdHQUT0Nha5K/vZ65sbExbG1tcfPmTeTn5xcaX9g+CluTnYiIiIiorJVHbU5EREREVBkU60r0stayZUvk5ubiwoULOHToEAwNDVGnTh2lj6pKJBJcv3692NuXNdC3bNmCAQMG4LvvvlN7I9B69eohMTER2dnZMDY2ls9lZ2cjMTERTk5OCsuneHt7Y8eOHUhMTISXl5fC9mJiYgBAYdzb2xvbt29HbGws2rZtqzLe29u72MdIRERERKQJZV2bExERERFVFqW+Ev3EiRPo1asXnJycYGBgAF1dXaUvPb2i9eqlUin09fXRoEEDNGjQAHXq1AHw+kZIb35JpdJi5ylbwmXLli34+OOPsXXrVpUNdOD1G4HAwEBkZWVh4cKFCnMLFy5EVlYWxowZozA+duxYAMD8+fPx8uVL+fjBgwcRHx8Pf39/ODg4yMf79+8Pc3NzhIeH4+7du/Lxu3fvYt26dbCyskLv3r2LfZxEREREVD1psi4HyrY2JyIiIiKqTEp1Jfp3332HESNGQAiBhg0bonXr1sUqzN9269at0qRToAULFmDz5s0wMTFB48aN8d///lcpplevXmjRogUAYNasWdi/fz/CwsKQnJwMNzc3JCUlITY2Fu7u7pg6darCY319fREYGIiIiAi4ubmha9euSEtLQ3R0NCwtLREeHq4QX6tWLaxbtw5Dhw6Fm5sbBgwYAACIjo7G48ePER0dDVNT0zI5F0RERERUtWi6LgfKtjYnIiIiIqpMSlVZL1y4ELVq1cIvv/yC1q1bayqnMiF7E5CVlYVFixapjHF0dJQ30Y2NjZGQkICQkBDs3r0bcXFxsLW1xYwZMxAcHAwjIyOlx2/YsAGurq7YuHEj1qxZAxMTE/Tu3RuLFi2Cs7OzUvyQIUNgZWWFxYsXIzIyEhKJBB988AHmzZuHTp06aezYiYiIiKhqq0x1ORERERFRZSMRQoiSPtjIyAijR4/GunXrNJkTlUBmZibMzc2RkZEBMzMzbadTZaw6fFXbKZS5aX6NtZ0CERFRtaPp2o11ecXC2pyIqqpTmz7TdgpEVA20G7283PZV1LqtVFeiOzg4KKz/XVqjRo0qUpxEIsGmTZs0tl8iIiIiospM03U5wNqciIiIiEimVE30MWPGYMWKFXjy5AksLS1LnUxUVFSB8xKJBEIIFupERERERG/QdF0OsDYnIiIiIpIpVRN9xowZuHHjBjw8PDBv3jw0b95c7WXvDRo0KHR7N2/eVDmekZGBpKQkLFq0CC1btsSyZctKkzYRERERUZWi6bocYG1ORERERCRTqiY6ALi5uWHbtm0YNmyY2hiJRIK8vLxCt+Xg4KB2rlmzZujSpQtcXV3x888/49NPPy1RvkREREREVZEm63KAtTkRERERkUypmujh4eGYOnUqatSoAV9fX9ja2kJPr9R9ebXq1q2L7t27Y926dSzUiYiIiIj+v/KuywHW5kRERERUfZSqsl61ahXq16+PkydPws7OTlM5FcjU1BS3bt0ql30REREREVUG2qjLAdbmRERERFQ96JTmwQ8ePEDfvn3LrVBPT0/H/v37Ubdu3XLZHxERERFRZVDedTnA2pyIiIiIqo9SXYneqFEjpKenaygVYMGCBSrH8/LycO/ePRw4cABPnjxBSEiIxvZJRERERFTZabouB1ibExERERHJlKqJPm3aNMyYMQOpqakF3nioqAorwE1NTREUFIT58+eXel9ERERERFWFputygLU5EREREZFMqZrozs7O8Pb2RqtWrTB16lQ0b94cZmZmKmO9vLwK3V5cXJzKcR0dHdSqVQtNmjRBjRo1SpMyEREREVGVo+m6HCj/2jwsLAxz5swBAJw6dQpt27ZVmM/MzERISAh2796NBw8ewNbWFh9//DGCg4NhYmKitD2pVIovv/wSGzduxLVr12BiYoJOnTph0aJFaNiwococYmJisHjxYiQlJUEikeCDDz7AvHnz0LFjR40dJxERERFVPhIhhCjpg3V0dCCRSCDbhEQiURubn59f0t1QEWRmZsLc3BwZGRlq3zBR8a06fFXbKZS5aX6NtZ0CERFRtaPp2q2y1+V//vknWrVqBT09PWRnZys10bOzs9G+fXtcuHAB/v7+aNmyJZKTkxEbGwt3d3ccP34choaGCtscM2YMIiIi8P7776Nr1664f/8+du7cCRMTE5w+fRouLi4K8Vu3bsXQoUNhbW2NAQMGAACio6Px6NEj7Ny5E/369Svy8bA2J6Kq6tSmz7SdAhFVA+1GLy+3fRW1bivVlehffPFFgQU6ERERERGVvcpcl7969QrDhw9HixYt4OLigq1btyrFLFu2DBcuXMDs2bOxdOlS+ficOXMQFhaGVatWISgoSD4eFxeHiIgIeHl54fDhw9DX1wcADB48GB999BEmTpyImJgYefzTp08xadIkWFlZISkpSX6D1tmzZ6Nly5YYP348AgICYGpqWlangYiIiIgqsFI10TV9E6EVK1ZgyZIl+P3331GvXj2l+fv376N58+aYP38+Jk+erNF9ExERERFVVmVxc8/yqs0XLVqES5cuISkpCcuWLVOaF0IgIiICJiYmSuuvz58/H19++SUiIiIUmujffPMNAGDhwoXyBjoAdOnSBT4+PoiNjcXt27fRoEEDAMCuXbuQnp6O0NBQeQMdAOzs7DBx4kSEhIRg7969GDZsWImPk4iIiIgqLx1tJ/CmXbt2oXnz5iqLdACoV68eWrRogR07dpRzZkRERERE1Ut51OZJSUlYtGgRgoOD8d5776mMSUlJwf379+Hh4QFjY2OFOWNjY3h4eODGjRu4c+eOfDw+Pl4+97aAgAAAQEJCgkI8APj7+xcp/m25ubnIzMxU+CIiIiKiqqNCNdFTUlLw/vvvFxjz/vvvIyUlpZwyIiIiIiKqnsq6Ns/NzcWwYcPQokULzJo1q8A8ACitYS4jG5fFZWdnIy0tDU5OTtDV1S00vrB9qIp/25IlS2Bubi7/sre3VxtLRERERJVPqZZzkd3AqDASiQR5eXmFxr148ULp6pK3GRoaIisrq8g5EhERERFVdZquy4Gyr82/+OILpKSk4Pz58yqb3TIZGRkAAHNzc5XzshtAyeKKG1/YY1TFvy0oKAjTp0+Xf5+ZmclGOhEREVEVUqomupeXl8piPSMjAykpKcjOzkbz5s1hYWFRpO01aNAAJ0+eLDDm1KlTCusUEhERERFVd5quy4Gyrc1PnTqF5cuXIyQkBE2bNi324ysaAwMDGBgYaDsNIiIiIiojpWqiy9YOVOX58+eYM2cODh06hMOHDxdpe127dsXq1avx7bffYtSoUUrzEREROHHiBKZMmVLSlImIiIiIqhxN1+VA2dXmeXl5GD58OJo1a4Y5c+YUGi+7OlzdleCy9cdlccWNf/sxtWvXLjSeiIiIiKqXUjXRC1KzZk2sXbsW7u7umDlzJiIjIwt9zJw5c7B9+3aMGTMGW7duhZ+fH+rXr4979+4hNjYWx48fR7169RAUFFRWaRMRERERVSklqcuBsqvNs7Ky5OuL6+vrq4xp164dAGDv3r3yG46qW5P87fXMjY2NYWtri5s3byI/P19pqRhV65+7uLjgt99+Q0pKilITvbA12YmIiIio6iuzJrqMp6cntm7dWqRYa2trxMXFYciQIYiPj0d8fDwkEgmEEAAAd3d3fP/997C2ti7LlImIiIiIqpzi1OVA2dXmBgYGGD16tMq548ePIyUlBT169IC1tTUcHR3h4uKCevXqITExEdnZ2QrrtGdnZyMxMRFOTk4Ka5B7e3tjx44dSExMhJeXl8I+YmJiAEBh3NvbG9u3b0dsbCzatm2rMt7b27tYx0lEREREVUeZN9EfPnxYrJsNNWnSBOfOncO5c+dw9uxZZGRkwMLCAq1bt0arVq3KMFMiIiIioqqruHU5UDa1uZGRESIiIlTOjRgxAikpKQgKClJoZgcGBmLBggVYuHAhli5dKh9fuHAhsrKyMHfuXIXtjB07Fjt27MD8+fNx+PBh+RXvBw8eRHx8PPz9/eHg4CCP79+/P2bPno3w8HCMGjVKvs773bt3sW7dOlhZWaF3794lOl4iIiIiqvzKrIkulUrx/fffIzo6ukQFtru7O9zd3csgMyIiIiKi6qO0dTmg/dp81qxZ2L9/P8LCwpCcnAw3NzckJSUhNjYW7u7umDp1qkK8r68vAgMDERERATc3N3Tt2hVpaWmIjo6GpaUlwsPDFeJr1aqFdevWYejQoXBzc8OAAQMAANHR0Xj8+DGio6NhampaXodLRERERBVMqZroDRs2VDmel5eHf//9F69evUKNGjWwZMmSIm0vIyMDqampaNSoEWrWrKk0n52djevXr8PR0RFmZmalSZ2IiIiIqMrQdF0OVKza3NjYGAkJCQgJCcHu3bsRFxcHW1tbzJgxA8HBwTAyMlJ6zIYNG+Dq6oqNGzdizZo1MDExQe/evbFo0SI4OzsrxQ8ZMgRWVlZYvHgxIiMjIZFI8MEHH2DevHno1KlTmR4fEREREVVsEiFb1LAEHB0dIZFIlMZ1dHRQq1YtuLu7Y+LEiXj//feLtL0ZM2Zg48aNuH//vsorPTIzM1G/fn1MmDABYWFhJU27SsrMzIS5uTkyMjL4BwYNWnX4qrZTKHPT/BprOwUiIqJqR9O1m6brcoC1eWmwNieiqurUps+0nQIRVQPtRi8vt30VtW4r1ZXot27dKs3DlRw6dAh+fn5qPyppZmaGgIAA/PLLLyzUiYiIiIj+P03X5QBrcyIiIiIiGR1tJ/Cm27dvw8XFpcAYZ2dn3L59u5wyIiIiIiKqnlibExERERG9Vuwr0UeNGlXsnUgkEmzatKlIcbm5uQXG5ObmIj8/v9g5EBERERFVJWVZl8tiWZsTEREREZWgiR4VFVXkWIlEAiFEkYv1d955B4cOHZI/5m1SqRQHDx5EkyZNipMyEREREVGVU5Z1OcDanIiIiIhIpthN9FOnThUp7tq1awgJCcH169eLvO1BgwZhxowZGDVqFFavXg1zc3P5XEZGBqZMmYJr165h+fLyW1yeiIiIiKgiKsu6HGBtTkREREQkU+wmeps2bQqcf/ToEUJDQ/HNN9/g5cuXaN++fZFvNDRx4kTs3r0bmzdvxv79++Hu7o769evj3r17OHfuHNLT0+Hl5YWJEycWN20iIiIioiqlLOtygLU5EREREZFMsZvo6jx//hzLly/HihUr8OzZM7z//vtYvHgxunfvXuRt1KhRA0eOHMG8efPwzTff4PDhw/I5MzMzzJw5EwsWLECNGjU0lTYRERERUZWiibocYG1ORERERCRT6iZ6fn4+NmzYgIULF+Kff/6BnZ0dVq9ejeHDh0NHR6fY2zM0NMTy5csRFhaGK1euICMjAxYWFmjSpAl0dXVLmy4RERERUZWk6bocYG1ORERERASUsom+a9cuzJs3D9euXYO5uTmWLl2KyZMnw9DQsNSJ6erq4v333y/1doiIiIiIqrqyrMsB1uZEREREVL2VqIkeHx+P2bNn47fffoO+vj5mzJiBuXPnwsLCotQJ3bhxA6dOnUJaWhoAwNbWFu3atUPDhg1LvW0iIiIioqqkLOtygLU5ERERERFQgiZ6ly5dEBsbCx0dHQwfPhwLFiyAnZ1dqRO5cOECpk6dil9//VXlvJeXF1avXo3mzZuXel9ERERERJVdWdXlAGtzIiIiIqI3FbuJHhMTA4lEggYNGuDBgwcYO3ZsoY+RSCT4+eef1c4fPHgQffv2RU5ODurVqwcfHx/Y29sDAO7cuYOEhAQkJCSgXbt22LNnDzp37lzctImIiIiIqpSyqMsB1uZERERERG8r0XIuQgjcvHkTN2/eLFK8RCJRO/fgwQMMGDAAEokEGzduxKhRo5RufCSVShEZGYkpU6Zg4MCBuHLlCmxsbEqSOhERERFRlaHJuhxgbU5EREREpEqxm+hFLdCLauXKlcjKysKBAwfQrVs3lTE6OjoYPXo0bGxs0L17d6xatQphYWEazYOIiIiIqDLRdF0OsDYnIiIiIlJFIoQQ2kygWbNmMDc3V7ve4ts8PT2Rnp6OP/74o4wzq1wyMzNhbm6OjIwMmJmZaTudKmPV4avaTqHMTfNrrO0UiIiIqp2KWruxNteMivrzJSIqrVObPtN2CkRUDbQbvbzc9lXUuk1H7Uw5uXXrFtq2bVvk+LZt2+LWrVtllxARERERUTXF2pyIiIiISJnWm+hSqVRpncWC6OjoQMsXzxMRERERVUmszYmIiIiIlGm9iW5nZ4fk5OQixycnJ8POzq4MMyIiIiIiqp5YmxMRERERKdN6E71jx444duwYzpw5U2js2bNncezYMXTq1KkcMiMiIiIiql5YmxMRERERKdN6E3369OnQ1dVFz549ERcXpzYuPj4e3bt3h66uLqZOnVp+CRIRERERVROszYmIiIiIlOlpOwFnZ2esX78eY8aMQadOndCuXTt06NAB9vb2AIA7d+7g6NGjOH36NIQQ2LhxIxo1aqTlrImIiIiIqh7W5kREREREyrTeRAeAUaNGoU6dOpg0aRJOnjyJkydPQiKRAID8RkUODg5Ys2YNevTooc1UiYiIiIiqNNbmRERERESKKkQTHQC6deuGLl26IC4uDidPnsSDBw8AADY2Nvjwww/h6+sLXV1dLWdJRERERFT1sTYnIiIiIvqfCtNEBwBdXV106tSJNyciIiqGVYevajuFMjXNr7G2UyAiqpZYmxMRERERvVahmuhU+VT15h0RERERERERERFVbzraToCIiIiIiIiIiIiIqKJiE52IiIiIiIiIiIiISA020YmIiIiIiIiIiIiI1GATnYiIiIiIiIiIiIhIDa020Q8cOICrV3ljSiIiIiIibWNtTkRERESkmlab6L1798aOHTvk3zds2BBr164ts/1t3boV48aNQ6tWrWBgYACJRIKoqCi18ZmZmZg+fTocHBxgYGAAR0dHzJw5E1lZWSrjpVIpwsPD4erqCiMjI1hbW2PQoEG4ceOG2n3ExMTA29sbpqamMDMzg6+vL44ePVraQyUiIiIiKpbyrs2JiIiIiCoLrTbRa9SogVevXsm/v3XrFtLT08tsf/PmzcPGjRuRmpoKW1vbAmOzs7Ph7e2NVatW4Z133sG0adPQpEkTLF++HB06dEBOTo7SY8aNG4fJkydDCIHJkyejc+fO2LNnD9zd3ZGSkqIUv3XrVnTu3BmXL1/GiBEjMHz4cFy6dAl+fn744YcfNHbcRERERESFKe/anIiIiIiostBqE71BgwY4ceIE8vPz5WMSiaTM9hcREYFbt27h4cOH+OSTTwqMXbZsGS5cuIDZs2cjJiYGS5cuRUxMDGbPno1z585h1apVCvFxcXGIiIiAl5cXkpKSEBYWhu+++w779u3DkydPMHHiRIX4p0+fYtKkSbCyskJSUhLCw8MRHh6OpKQk1K5dG+PHj8ezZ880fg6IiIiIiFQp79qciIiIiKiy0GoTffDgwUhISIClpSUaNmwIAFi1ahUaNmxY4Jezs3OJ9tepUyc4ODgUGieEQEREBExMTDB//nyFufnz58PExAQREREK49988w0AYOHChdDX15ePd+nSBT4+PoiNjcXt27fl47t27UJ6ejomTZoEOzs7+bidnR0mTpyIR48eYe/evSU6TiIiIiKi4irv2pyIiIiIqLLQahN93rx5WLx4MZo1awaJRAKJRAIhRKFfUqm0TPNKSUnB/fv34eHhAWNjY4U5Y2NjeHh44MaNG7hz5458PD4+Xj73toCAAABAQkKCQjwA+Pv7Fyn+bbm5ucjMzFT4IiIiIiIqqYpamxMRERERaZueVneup4c5c+Zgzpw5AAAdHR1MmzYNX3zxhTbTkq9f7uLionLexcUFMTExSElJgb29PbKzs5GWloamTZtCV1dXZfyb2y1sH6ri37ZkyRKEhoYW8YiIiIiIiApWUWtzIiIiIiJt0+qV6G8LDg6Gj4+PttNARkYGAMDc3FzlvJmZmUJcceMLe4yq+LcFBQUhIyND/vXmVfFERERERKVVUWpzIiIiIiJt0+qV6G8LDg7WdgqVhoGBAQwMDLSdBhERERFVUazNiYiIiIheq1BNdJnExERERUXhwoULyMzMhJmZGVq2bIlhw4ahffv2Zb5/2dXh6q4El60/Losrbvzbj6ldu3ah8URERERE2qDt2pyIiIiISNsqXBN92rRpWLt2LYQQACC/odH58+exadMmTJkyBStXrizTHApbk/zt9cyNjY1ha2uLmzdvIj8/X2lddFXrn7u4uOC3335DSkqKUhO9sDXZiYiIiIjKQ0WozYmIiIiItK1CNdE3b96MNWvWoHHjxggODoavry/q1q2Lf//9F3FxcQgNDcWaNWvQokULDBs2rMzycHFxQb169ZCYmIjs7GwYGxvL57Kzs5GYmAgnJyfY29vLx729vbFjxw4kJibCy8tLYXsxMTEAoDDu7e2N7du3IzY2Fm3btlUZ7+3trfFjIyKqbFYdvqrtFMrcNL/G2k6BiEhJRanNiYiIiIi0rULdWHT9+vWws7PDmTNnMGjQINjY2EAikaBu3boYOHAgTp8+jfr16+Orr74q0zwkEgkCAwORlZWFhQsXKswtXLgQWVlZGDNmjML42LFjAQDz58/Hy5cv5eMHDx5EfHw8/P394eDgIB/v378/zM3NER4ejrt378rH7969i3Xr1sHKygq9e/cui8MjIiIiIipUWdXm9+7dw+rVq+Hv748GDRpAX18fNjY26Nu3L86cOaPyMZmZmZg+fTocHBxgYGAAR0dHzJw5E1lZWSrjpVIpwsPD4erqCiMjI1hbW2PQoEG4ceOG2rxiYmLg7e0NU1NTmJmZwdfXF0ePHi3WsRERERFR1VShrkS/dOkSAgMD1a4Fbm5ujr59+yIiIqJE24+IiMCJEycAAH/88Yd8LD4+HgDQvn17BAYGAgBmzZqF/fv3IywsDMnJyXBzc0NSUhJiY2Ph7u6OqVOnKmzb19cXgYGBiIiIgJubG7p27Yq0tDRER0fD0tIS4eHhCvG1atXCunXrMHToULi5uWHAgAEAgOjoaDx+/BjR0dEwNTUt0XESEREREZVWWdXm4eHhCAsLg7OzM/z9/WFtbY2UlBTs27cP+/btw7Zt2+S1MfD6k6De3t64cOEC/P39MWjQICQnJ2P58uVISEjA8ePHYWhoqLCPcePGISIiAu+//z4mT56M+/fvY+fOnYiNjcXp06eVlk3cunUrhg4dCmtra4wYMQLA67rcz88PO3fuRL9+/Yp1jERERERUtVSoJnpRSCSSEj/2xIkT2Lx5s8JYYmIiEhMT5d/LmujGxsZISEhASEgIdu/ejbi4ONja2mLGjBkIDg6GkZGR0vY3bNgAV1dXbNy4EWvWrIGJiQl69+6NRYsWwdnZWSl+yJAhsLKywuLFixEZGQmJRIIPPvgA8+bNQ6dOnUp8nERERERE5aEktXnr1q0RHx+vtHThr7/+io4dO2L8+PHo1asXDAwMAADLli3DhQsXMHv2bCxdulQeP2fOHISFhWHVqlUICgqSj8fFxSEiIgJeXl44fPgw9PX1AQCDBw/GRx99hIkTJ8qXTwSAp0+fYtKkSbCyskJSUhLs7OwAALNnz0bLli0xfvx4BAQE8AIXIiIiompMImR3CaoA2rZti/v37+Ovv/6CiYmJ0vyzZ8/QtGlT2Nra4vTp01rIsOLKzMyEubk5MjIyYGZmVm77rQ5rFVd1XIu58uP/w8qP/w+Jqh9t1W7FoY3aPCAgALGxsTh37hxatWoFIQTs7OyQmZmJBw8eKN2ryMbGBnXq1MH169fl44MHD8b27duRkJCgdK8iX19fxMfHIzU1FQ0aNAAAbNy4EePGjUNoaCi++OILhfjQ0FCEhIRg8+bNxVr3vTL8fImISuLUps+0nQIRVQPtRi8vt30VtW6rUGuijxs3Dnfv3kW7du2we/duPHr0CADw6NEj/PDDD/jwww9x9+5djB8/XsuZEhERERFVbdqozWvUqAEA0NN7/YHZlJQU3L9/Hx4eHgoNdOD1J0c9PDxw48YN3LlzRz4eHx8vn3tbQEAAACAhIUEhHgD8/f2LFE9ERERE1U+FWs5l5MiRSE5Oxrp169C/f38AgI6ODqRSKQBACIFJkyZh+PDh2kyTiIiIiKjKK+/a/Pbt2zhy5AhsbW3h6uoK4HUTHYDSGuYyLi4uiImJQUpKCuzt7ZGdnY20tDQ0bdoUurq6KuPf3G5h+1AVr0pubi5yc3Pl32dmZhYYT0RERESVS4VqogPA2rVr8fHHHyMqKgoXLlxAZmYmzMzM0LJlSwwfPhyenp7aTpGIiIiIqFoor9r81atXGDp0KHJzcxEWFiZvgGdkZACA2pubyj5yK4srbnxhj1EVr8qSJUsQGhpaYAwRERERVV4VrokOAJ6enmyWExERERFVAGVdm0ulUowYMQLHjx/HmDFjMHTo0DLbV1kJCgrC9OnT5d9nZmbC3t5eixkRERERkSZVyCY6ERERERFVfVKpFKNGjcK2bdswZMgQfP311wrzsqvD1V0JLls2RRZX3Pi3H1O7du1C41UxMDCAgYFBgTFEREREVHlVqBuLEhERERFR9SCVSjFy5Ehs3rwZgwYNQlRUFHR0FN+eFLYm+dvrmRsbG8PW1hY3b95Efn5+ofGF7aOwNdmJiIiIqHpgE52IiIiIiMqVrIG+ZcsWDBgwAN99953aG4HWq1cPiYmJyM7OVpjLzs5GYmIinJycFJZO8fb2ls+9LSYmBgDg5eWlEA8AsbGxauNlMURERERUPbGJTkRERERE5Ua2hMuWLVvw8ccfY+vWrSob6AAgkUgQGBiIrKwsLFy4UGFu4cKFyMrKwpgxYxTGx44dCwCYP38+Xr58KR8/ePAg4uPj4e/vDwcHB/l4//79YW5ujvDwcNy9e1c+fvfuXaxbtw5WVlbo3bt3qY+biIiIiCovrolORERERETlZsGCBdi8eTNMTEzQuHFj/Pe//1WK6dWrF1q0aAEAmDVrFvbv34+wsDAkJyfDzc0NSUlJiI2Nhbu7O6ZOnarwWF9fXwQGBiIiIgJubm7o2rUr0tLSEB0dDUtLS4SHhyvE16pVC+vWrcPQoUPh5uaGAQMGAACio6Px+PFjREdHw9TUtEzOBRERERFVDmyiExERERFRubl16xYAICsrC4sWLVIZ4+joKG+iGxsbIyEhASEhIdi9ezfi4uJga2uLGTNmIDg4GEZGRkqP37BhA1xdXbFx40asWbMGJiYm6N27NxYtWgRnZ2el+CFDhsDKygqLFy9GZGQkJBIJPvjgA8ybNw+dOnXS2LETERERUeUkEUIIbSdBpZeZmQlzc3NkZGTAzMys3Pa76vDVctsXlY1pfo21nQKVEv8fVn78f0hU/WirdqPywZ8vEVVVpzZ9pu0UiKgaaDd6ebntq6h1G69EJyIi0rLq8IcQ/qGAiIiIiIiIKiveWJSIiIiIiIiIiIiISA020YmIiIiIiIiIiIiI1GATnYiIiIiIiIiIiIhIDTbRiYiIiIiIiIiIiIjUYBOdiIiIiIiIiIiIiEgNNtGJiIiIiIiIiIiIiNRgE52IiIiIiIiIiIiISA020YmIiIiIiIiIiIiI1GATnYiIiIiIiIiIiIhIDTbRiYiIiIiIiIiIiIjUYBOdiIiIiIiIiIiIiEgNNtGJiIiIiIiIiIiIiNRgE52IiIiIiIiIiIiISA020YmIiIiIiIiIiIiI1NDTdgJERERU9a06fFXbKZSpaX6NtZ0CERERERERlRFeiU5EREREREREREREpAab6EREREREREREREREanA5FyKq0qr6EhJERERERERERFS2eCU6EREREREREREREZEabKITEREREREREREREanBJjoRERERERERERERkRpsohMRERERERERERERqcEmOhERERERERERERGRGmyiExERERERERERERGpwSY6EREREREREREREZEabKITEREREREREREREanBJjoRERERERERERERkRpsohMRERERERERERERqcEmOhERERERERERERGRGmyiExERERERERERERGpwSY6EREREREREREREZEabKITEREREREREREREanBJjoRERERERERERERkRpsohMRERERERERERERqcEmOhERERERERERERGRGmyiExERERERERERERGpoaftBIiIiIgqu1WHr2o7hTI3za+xtlMgIiIiIiLSCl6JTkRERERERERERESkBq9EJyIiIiIiquSqwydiiEj72mo7ASIiLWETnaia4xsuIiIiIiIiIiIi9bicCxERERERERERERGRGmyiVwDnzp3DRx99BAsLCxgbG6Nt27bYuXOnttMiIiIiIqpWWJcTERERkSpczkXL4uLiEBAQAENDQwwcOBCmpqbYvXs3BgwYgDt37mDGjBnaTpGIiIiIqMpjXU5ERERE6vBKdC3Ky8vDmDFjoKOjg+PHj2Pjxo1YsWIFLl68iMaNG2Pu3LlITU3VdppERERERFUa63IiIiIiKgib6Fp07NgxXL9+HYMHD0aLFi3k4+bm5pg7dy5evnyJzZs3ay9BIiIiIqJqgHU5ERERERWEy7loUXx8PADA399faS4gIAAAkJCQoPKxubm5yM3NlX+fkZEBAMjMzNRwlgXLyc4q1/0RERGRdpR3jVHVyc6nEELLmRBQurocqBi1OetyIioP2S9yCw8iIiql8qyhilqXs4muRSkpKQAAFxcXpTkbGxuYmJjIY962ZMkShIaGKo3b29trNkkiIiIiAHO1nUAV9ezZM5ibm2s7jWqvNHU5wNqciIiISKMmrSv3XRZWl0sEL3/RGn9/fxw+fBgpKSlo1KiR0nz9+vWRlZUlv5LlTW9f7SKVSvHkyRPUrl0bEolEKT4zMxP29va4c+cOzMzMNHsgVCief+3hudcennvt4vnXHp577alM514IgWfPnqFevXrQ0eEKi9pWmrocKH5trmmV6blf3nhu1OO5UY3nRT2eG/V4blTjeVGP50a98j43Ra3LeSV6JWVgYAADAwOFMQsLi0IfZ2Zmxv+cWsTzrz0899rDc69dPP/aw3OvPZXl3PMK9KqjpLW5plWW57428Nyox3OjGs+Lejw36vHcqMbzoh7PjXrleW6KUpfzshctkv2A1F3RkpmZyTdXRERERERljHU5ERERERWETXQtkq25qGp9xQcPHiArK0vluoxERERERKQ5rMuJiIiIqCBsomuRt7c3ACA2NlZpLiYmRiGmtAwMDBAcHKz0MVMqHzz/2sNzrz0899rF8689PPfaw3NPJVWedXlZ4HNfPZ4b9XhuVON5UY/nRj2eG9V4XtTjuVGvop4b3lhUi/Ly8tCkSRPcu3cPp0+fRosWLQC8/hhp69atcevWLfz9999wdHTUap5ERERERFUZ63IiIiIiKgib6FoWFxeHgIAAGBoaYuDAgTA1NcXu3buRmpqK5cuXY8aMGdpOkYiIiIioymNdTkRERETqsIleAZw9exbBwcE4efIkXr16BVdXV0yfPh0DBgzQdmpERERERNUG63IiIiIiUoVNdCIiIiIiIiIiIiIiNXhjUSIiIiIiIiIiIiIiNdhEJyIiIiIiIiIiIiJSg030aujVq1fYvXs3hg8fjnfffRcmJiYwNTVFmzZtsH79euTn52s7xSrj3Llz+Oijj2BhYQFjY2O0bdsWO3fu1HZaVdq9e/ewevVq+Pv7o0GDBtDX14eNjQ369u2LM2fOaDu9aiksLAwSiQQSiQSnT5/WdjrVwt69e+Hn54fatWvD0NAQTk5OGDRoEO7cuaPt1KosIQT27NkDX19f2NraombNmmjSpAnGjRuHGzduaDu9KmHr1q0YN24cWrVqBQMDA0gkEkRFRamNz8zMxPTp0+Hg4AADAwM4Ojpi5syZyMrKKr+kiUqgLGr14takaWlpGD16NGxtbWFoaIgmTZpg0aJFePXqVWkOTSMuXLiAuXPnIiAgANbW1pBIJPDx8Sn2dqKiouT1ibqvjh07KjwmJCSkwPhbt25p5iBLSFPnBgAcHR3VHqe6bebm5mLBggVwcXGBoaEh6tWrh7Fjx+Lff/8t+UFpgKbOS0neZ1Sn5wxQtV5rAM3UEoU9ByQSCUaPHq3wmBEjRhQYXxFoqs4q6DhHjBhRpvsuC5rILSUlBYsXL4aXlxfq1asHfX192NvbY9iwYbhy5YrKx1SU54wmemAl+V3y/fffo3Xr1jA2NkatWrXQrVs3JCUllfZwlOhpfItU4V2/fh39+vWDiYkJOnbsiB49eiAjIwM//vgjJkyYgF9++QUHDhyoMC/OlVVcXBwCAgJgaGiIgQMHwtTUFLt378aAAQNw584dzJgxQ9spVknh4eEICwuDs7Mz/P39YW1tjZSUFOzbtw/79u3Dtm3beHOwcvTnn38iODgYxsbGyM7O1nY6VZ4QAp988gk2btwIZ2dn+WvP/fv3kZCQgNTUVNjb22s7zSrps88+w8qVK2Fra4tevXrBzMwMFy9exDfffIPt27fj5MmTaNq0qbbTrNTmzZuH1NRUWFlZwdbWFqmpqWpjs7Oz4e3tjQsXLsDf3x+DBg1CcnIyli9fjoSEBBw/fhyGhoblmD1R0Wm6Vi9uTfrgwQO0adMGd+/eRe/eveHi4oKEhATMmzcPZ8+exb59+7T6PmHfvn1YsmQJ9PX10bhxYzx69KhE22nRogWCg4NVzv3www+4dOkSAgICVM4PHz4cjo6OSuMWFhYlykVTNHVuZMzNzTF16lSlcVXHLpVK0bNnT8TExKBt27bo27cvUlJSEBERgaNHj+L06dOwtrYuVT4lpanzUpr3GdXhOVPVXms0VUsU9EeJiIgI3Lt3T+1rzZQpU7T+HFFF03WWg4ODyoZ5ixYtynzfmqSp3ObPn4/o6Gg0bdoUPXv2hJmZGf744w989913+OGHH3Do0CF4eXmpfKw2nzOa6IGV5HfJokWLMG/ePDg4OOCTTz7Bs2fPsGPHDnz44Yc4evQoPDw8NHeQgqqdu3fvii+//FJkZWUpjGdlZYlWrVoJAGLnzp1ayq5qePXqlXB2dhYGBgYiOTlZPp6eni4aN24s9PX1xa1bt7SXYBW2e/duER8frzR+/PhxUaNGDVGrVi2Rk5Ojhcyqn5cvXwo3NzfRpk0bMWTIEAFAnDp1SttpVWmrV68WAMSECRNEXl6e0vyrV6+0kFXVl5aWJnR0dISDg4NIT09XmFu5cqUAIEaOHKml7KqOw4cPy393LlmyRAAQkZGRKmO/+OILAUDMnj1bYXz27NkCgFi8eHFZp0tUYpqs1UtSkw4bNkwAEOvXr5ePSaVSMXDgQAFAbNu2reQHpwF//vmnOH/+vHj58qVIS0sTAIS3t7fGtp+bmytq164t9PT0xIMHDxTmgoODBQARFxensf1pkibPjYODg3BwcChy/LfffisAiEGDBgmpVCofX79+vQAgxo4dW6I8NEFT56Uk7zOqy3OmKr7WlHUt8eDBA6Gnpydq164tcnNzFeaGDx8uAIibN2+Wah9lRZPnprjPuYpc42kqt8jISJGUlKQ0vn37dgFAvPfee0pz2n7OaKoHVtzfJVevXhV6enqicePGCu/DkpOThYGBgXj33XdFfn5+6Q/w/2MTnRRs27ZNABCffvqptlOp1GJiYtQ2TaKiogQAERoaqoXMqjd/f38BQJw7d07bqVQLwcHBwsDAQFy6dEn+S51N9LLz/PlzUatWLdGwYUM2y8vZqVOnBAAxePBgpbmrV68KAKJbt25ayKzqKqiJLpVKRb169YSJiYnKJqSJiYlo2LBhOWVKpFnFrdWLW5NmZmYKAwMD0bBhQ4U3r0IIcevWLQFA+Pr6lu4gNKgsmujR0dECgOjVq5fSXEVviL6pvJvo7dq1EwCUmiRSqVQ0bNhQGBsbi+fPn5coF00qi+eMEOrfZ1SX50xVe60pj1oiLCxMABBTp05VmtN2Q7Qgmj43xXnOVeQar7xya9y4sQAgHj58qDCu7eeMpnpgxf1dEhQUJACIzZs3K21rxIgRAoBISEgowRGpxuVcSEGNGjUAAHp6fGqURnx8PADA399faU72Ua2EhITyTInA53d5SkpKwqJFi7BgwQK899572k6nWoiNjcXTp08xcuRI5Ofn48CBA7h69SosLCzQqVMnNGrUSNspVlkuLi7Q19dHYmIiMjMzYWZmJp/76aefAEBpXV0qOykpKbh//z4CAgJgbGysMGdsbAwPDw/ExMTgzp07XN6IKp3i1jLFrUlPnTqF3Nxc+Pn5KS2j4ODggCZNmiAxMRH5+fnQ1dUtySFUeBEREQCAwMBAtTHHjx/HmTNnoKOjAxcXF3Tq1AkmJibllWK5yc3NRVRUFO7fvw8zMzO4u7ujTZs2SnE5OTk4c+YMmjRpAgcHB4U5iUQCPz8/bNiwAb/99hs8PT3LK/1yVdj/zar+nKlqrzXlUUts2rQJQMGvNT/99BOePXsGAwMDvPvuu+jYsSP09fVLtD9NKYtzk56ejo0bN+LRo0ewtLSEh4cHXF1dy2XfmlJeuRX2WqOt54wmemAl+V1S2H6joqKQkJCgdvmb4mIniRR8++23AFQ/AanoUlJSALxurLzNxsYGJiYm8hgqH7dv38aRI0dga2ur8hcyaU5ubi6GDRuGFi1aYNasWdpOp9o4f/48AEBXVxfNmjXD1atX5XM6OjqYNm0ali9frq30qrTatWtj6dKlmDFjBt555x352oUXL17EsWPHMGHCBEycOFHbaVYbBf0Olo3HxMQgJSWFTXSqdIpbqxe3Ji3K/5+///4bqampaNiwYbFyrwxSU1Nx9OhR2NnZoXPnzmrj3l5L3cLCAmvWrMGwYcPKOsVy9eDBA4wcOVJhzN3dHdu3b4ezs7N87Pr165BKpQU+b4DXz6+q2EQvyvuMqv6cqWqvNWVdS/z666+4evUq2rZti/fff19t3KRJkxS+t7W1RWRkpNo11MtDWZybixcvYty4cQpjnTt3xubNm1GnTp0y3bemlEduZ8+exaVLl+Du7q523XNtPWc00QMrye+SlJQUmJiYwMbGpsB4TdHR2Jao0tu4cSMOHjyIDh064KOPPtJ2OpVaRkYGgNc341HFzMxMHkNl79WrVxg6dChyc3MRFhZWZa+cqii++OILpKSkIDIykue6HMnuVr5y5UqYm5vj7NmzePbsGY4fP47GjRtjxYoVWL9+vZazrLqmTZuGHTt2ICsrC19//TWWLVuGmJgYtGnTBoMHD+YnYMpRUX4HvxlHVFmUpFYvbk1a3f//REZGQiqVYsSIESprmObNm+Pbb7/FjRs38OLFC9y8eRPh4eGQSCQYMWIEDhw4oIWsy8bIkSNx9OhR/PPPP8jOzkZycjKGDh2Kc+fOoWPHjnj27Jk8tjo/bwp7n1FdnjNV7bWmrPMr7Cp0Ly8v7Ny5E7dv38aLFy+QkpKCBQsWID09HT169MBvv/1Wov1qgqbPzYwZM3Dy5Ek8evQImZmZOHnyJLp06YJDhw6hW7duyM/PL7N9a1JZ55aRkYHhw4dDR0cHy5YtU5rX9nNGEz2wkpzDjIyMcn0+8B1dJTZjxgzk5uYWOX7KlClq/6Lz008/YeLEiXBwcMDWrVs1lSKR1sneCB0/fhxjxozB0KFDtZ1SlXbq1CksX74cISEhaNq0qbbTqVakUikAQF9fH/v27UO9evUAAJ6enti1axeaN2+OFStWYPz48dpMs8pasGAB/vvf/2LBggUYMmQILCwscOHCBUybNg0+Pj7YvXs3evTooe00iagcsVZXT5PnRlOkUikiIyMhkUgwatQolTG9e/dW+N7R0RETJ07Eu+++Cz8/P8ybN6/Ur/UV5dy8feV0ixYtsGXLFgDAd999h2+++QbTp0/X+H7VqSjn5U1FeZ9RnZ4zFVFFPDeZmZnYtWsXTExMMGDAAJUxb78GNWrUCPPnz0f9+vUxevRoLFiwoNR/gKko5+btT8q2a9cOP/30Ezp06ICEhATs378fffr00fh+1ako5+VNL168QO/evXHlyhUsWrQIPj4+SjHl8ZwhNtErtQ0bNiA7O7vI8f369VP5n/uXX35Bv379ULduXRw7dgy2traaTLNakv0lTN1fvDIzM1GrVq3yTKlakkqlGDVqFLZt24YhQ4bg66+/1nZKVVpeXh6GDx+OZs2aYc6cOdpOp9qRve60atVK3kCXadq0KRo2bIhr164hPT1d7cf/qGSOHDmC4OBgTJs2TeG53759e/z4449o2LAhZsyYwSZ6OSnK7+A344jKSkWo1Ytbk5bX/x9NnRtNOnLkCG7fvo2OHTvCycmpWI/t2LEjnJ2d8ccffyjdG6O4KuK5edO4cePw3XffITExUd5EL4/nTUU7L6V9n1HVnjNV7bWmLPPbsWMHnj9/jtGjRxd7Xfzhw4fj008/RWJiYrH3+7aKeG5kdHR0MGbMGCQkJCAxMVHeRK/IrzVllVtOTg569uyJuLg4BAUFYe7cucV6vCafMwXRRA+sJOfQ3Ny8XGt+NtErsaysrFJv4+eff0bfvn1hZWWFuLi4Krm2oTa8ufbSBx98oDD34MEDZGVloXXr1tpIrdqQSqUYOXIktmzZgkGDBiEqKgo6OlzBqixlZWXJ1xtTd/OSdu3aAQD27t2LXr16lVdq1UKTJk0AQG2DXDb+4sULNtE17ODBgwAAX19fpTkbGxu88847SE5ORlZWVpW6iVhFVdj6h4WtWUmkKRWhVi9uTVqU/z/6+vpo0KBBsfJ4mybOjaYV5YaiBbGyssK1a9fw/PnzUjVEK+K5eZOVlRUAKDSZGjZsCB0dnTJ93a1I50VT7zOq0nOmqr3WlGUtUZrXGl1dXVhYWODp06fFfuzbKuK5eZOq15ry2HdFOi8vXrxAz549cfjwYcyaNQuLFy8udl6afM4URBM9sJL8LnFxccGpU6fw4MEDpXXRy6LmZ0epGpMV5ZaWloiLi0OjRo20nVKV4e3tDQCIjY1VmouJiVGIIc17s7AdMGAAvvvuO67NXQ4MDAwwevRolV+yX1w9evTA6NGj4ejoqN1kqyBZA/fy5ctKc69evcK1a9dgbGwMa2vr8k6tynv58iUA4OHDhyrnHz58CB0dHdSoUaM806q2XFxcUK9ePSQmJipdSZSdnY3ExEQ4OTnxpqJU4WmiVi9uTdq2bVvo6+vj8OHDEEIoxKempuLvv/+Gh4dHlbvPw+PHj7F//35YWloqLb9RFNnZ2bh06RKMjY3ljZ+q6syZMwCgUMsZGRmhdevW8htBvkkIgcOHD8PY2BitWrUqz1TLhKbeZ1S150xVe60pq1rijz/+wLlz5/D++++jbdu2xc7r9u3bePDggVbfS5VXnaXqtaYi13iazu3NBvpnn32GsLCwEuVVXs8ZTfTASvK7pNx7b4KqpV9++UUYGBgIGxsbceXKFW2nU+W8evVKNGzYUBgYGIjk5GT5eHp6umjcuLHQ19cXN2/e1Fp+VVl+fr4YPny4ACA+/vhj8erVK22nRELIfyanTp3SdipVmr+/vwAgvvnmG4XxBQsWCABiyJAhWsqsatu+fbsAIN5//32Rnp6uMLd+/XoBQHh4eGgpu6ppyZIlAoCIjIxUOf/FF18IAGL27NkK47NnzxYAxOLFi8shS6KSK26t/vLlS3H58mVx7do1hfGS1KTDhg0TAMT69evlY1KpVAwaNEgAENu2bSvVsWlSWlqaACC8vb3Vxqg7N29atWqVACAmT56sNiYzM1P8/fffSuPPnz+Xn5uRI0cWK/+yVJpzc/nyZZGdna0Uf/nyZWFjYyMAiISEBIW5b7/9VgAQgwYNElKpVD4u+z04duzY0h2QhpTmvBT3fUZ1es5Uxdea4tYS2dnZ4vLlyyI1NVXtNqdMmSIAiJUrV6qNSUtLE3fv3lUaf/r0qfD19RUARGhoaDGPRrM0dW5+//138fLlS6XtJyYmipo1a4oaNWooPdcqco2nqfPy4sUL4efnJwCI6dOnF7rfivCcKe5rwP3798Xly5eV3jsV93fJ33//LfT09ETjxo0VtpWcnCwMDAzEu+++K/Lz8zV2nBIh3vqzH1V5V65cQYsWLZCbm4uBAwfKlwB4k6OjI0aMGFH+yVUhcXFxCAgIgKGhIQYOHAhTU1Ps3r0bqampWL58OWbMmKHtFKukkJAQhIaGwsTEBFOmTFF59UKvXr3QokWL8k+uGhsxYgQ2b96MU6dOleiqCyqa69ev48MPP8S///6Lrl27ypcROXbsGBwcHHD69Gmlj7lR6eXn56NDhw44fvw46tSpgx49esDCwgJJSUk4duwYjIyMEB8fz2W8SikiIgInTpwA8PpKrqSkJHh4eMivzm3fvr38o9HZ2dnw8PDAxYsX4e/vDzc3NyQlJSE2Nhbu7u5ISEiAkZGR1o6FqCAlqdVv3boFJycnODg44NatWwqxxa1J09LS0KZNG9y9exd9+vRBo0aNkJCQgNOnT6N79+7Yv38/JBJJWRx6kVy5cgVLly4F8PpKvZ07d6Ju3bro3LmzPCYqKkr+74LOjYyrqyv+/PNP/P7773B1dVUZc+vWLTRs2BDu7u549913YWNjg3/++QdHjhzB3bt34erqiri4ONSuXVtjx1pcmjo3ISEhWLlyJby8vODg4ABjY2NcvXoVv/zyC169eoWgoCClZQWkUik++ugjxMTEoG3btvD29sa1a9ewZ88eODo64syZM1r7NJwmz0tx3mdUp+cMUPVea4pbS8THx8PX1xfe3t6Ij49X2t7Lly9Rr149PHv2DPfv31f7c4+Pj4efnx8+/PBDuLi4wNraGnfu3MGhQ4fw+PFjdOjQAT///DMMDQ3L6tALpalzM2LECPz8889o37497O3tUaNGDVy6dAmxsbGQSCT48ssv8cknn5Rq3+VJk+dl8+bNsLGxwbhx41Tua8SIEfKryyvKc6Y4rwGyY4yMjFSoZ0ryu2TRokWYN28eHBwc0LdvXzx79gw7duzAy5cvcfToUXh4eGjuIDXWjqdKIy4uTgAo8Kugvz5T0Z05c0Z07txZmJmZCSMjI9G6dWuxY8cObadVpcmuDinoS92Vi1R2eCV6+bl9+7YYMWKEsLGxETVq1BD29vbi008/Ff/884+2U6vScnJyxJIlS0TLli1FzZo1hZ6enqhfv74YMmSI+Ouvv7SdXpVQ2Ov78OHDFeLT09PF1KlThb29vahRo4Zo0KCBmDFjhsjMzNTOARAVUUlq9Zs3bwoAwsHBQeU2i1uT3r9/X4waNUrUrVtX6OvrCxcXF7Fw4UKRm5urwSMtmaKcnzcV5dwAEK1bty5wvxkZGeLTTz8V7u7uwtraWujp6QlTU1PRunVrsWzZMvH8+XNNHWKJaercxMfHi/79+wsXFxdhZmYm9PT0hI2NjejZs6eIiYlRu/+cnBwREhIinJ2dhb6+vrCxsRGBgYHiwYMHZXG4Raap81Lc9xnV6TkjU5Vea4QoXi0hO5fqeinR0dECgOjfv3+B+7x9+7YIDAwUzZs3F7Vr1xZ6enrCwsJCeHl5ia+//lrk5eVp4tBKTRPnZs+ePaJnz57CyclJGBsby9+7DBo0SJw5c0Yj+y5vmjgv3t7ehf6/jIuLk8dXpOdMUV8DZK+nqnozJfldsnXrVtGqVSthZGQkzM3NxUcffSTOnz+vyUMTQvBKdCIiIiIiIiIiIiIitXhjUSIiIiIiIiIiIiIiNdhEJyIiIiIiIiIiIiJSg010IiIiIiIiIiIiIiI12EQnIiIiIiIiIiIiIlKDTXQiIiIiIiIiIiIiIjXYRCciIiIiIiIiIiIiUoNNdCIiIiIiIiIiIiIiNdhEJyIiIiIiIiIiIiJSg010IiIiIiIiIiIiIiI12EQnIqrk7t+/D2NjYyxevFjbqWjckCFD4ODggJycnHLbZ0nOp6OjIxwdHRXGQkJCIJFIEB8fr9kEK5ioqChIJBJERUUVKf7JkycwNzfHrFmzSrQf2dfAgQNLkG3hcnJyFPYjkUjKZD9ERERUNa1evRr6+vq4deuWtlPRqJLWcKVV3PMZHx8PiUSCkJAQhXFV9XpV5OPjU6z6NSIiArq6uvjjjz9KtB/Z16FDh4qbarlhfU+awiY6ERVJdnY2Fi9eDDc3N5iYmMDAwAB2dnbw9PREUFAQrl+/rvJxDx48wOzZs9GsWTOYmpqiZs2aaNy4MSZMmICUlJQC9ymEwJ49e9CnTx/Y2dnBwMAApqamaN68OaZNm4a//vqrSLnLmpkFfb1dZFUmn3/+OWrWrInJkyeX6PGaLCiL21AtzBdffIF79+5h9erVGtleUZT2fFYWxS2wNcXS0hKTJ0/G2rVrkZqaWuzH9+zZE8HBwejXr5/C+N27d9G7d29YWlrC3t4eM2bMUPnHFyEE2rdvj4CAAJXb19PTQ3BwMIKDg+Hg4FDs/IiIiNS5deuWUg2qr68Pe3t7DB48GL///ru2UywXjo6OhdbmlbUB/fTpUyxcuBCjRo0qUX2trgFcUpqs90pbw5VEac9nZSF7bRgxYkS573v48OFwcHDAzJkzS/R4Wd3cqFEjhXHZ/2UDAwM8fvxY5WOfPn0KIyMjpcb2jh07IJFI8Mknn6h8XK9evSCRSNC5c2eV81OnToVEIsGmTZsAsL4nzdHTdgJEVPE9e/YM7du3x++//45GjRphyJAhqF27Nh49eoSzZ89i6dKlcHZ2hrOzs8LjfvnlFwwcOBDPnj1D27ZtMWbMGOjp6eHChQvYsGEDIiIisH79eowePVppn0+ePMHHH3+MY8eOwcLCAn5+fmjYsCFevnyJS5cu4auvvsLatWtx9OhR+Pj4FOk4+vbti6ZNm6qcK+o2KpqUlBRs2bIFn3/+OUxMTLSdjsY1btwYPXv2xNKlSzFp0iQYGxuX6f40eT4nTpyIgQMHokGDBhrKruqYOnUqwsLC8N///hfffPNNsR7bq1cvpTcY+fn56NatG65du4aRI0fi33//xcqVK/Hq1SusXbtWIXb9+vVITk7Gn3/+qXL7enp68jeu8fHx5fYmkYiIqg9nZ2cMGTIEAJCVlYXTp09j+/bt2LNnD44ePQoPDw8tZ1j2dHV1MW/ePLXzFhYW5ZeMBq1atQpPnjwpcUOyoitNDVcSmjyfR48e1UBGVU+NGjUwbdo0TJ48GYmJicV+/SnoDz56enp4+fIlvv/+e5UXKH3//ffIycmBnp4e8vLy5OOy9+aqPtErlUpx/PhxSCQSJCYmIi8vD3p6iq3NuLg4AECHDh3kebC+J01gE52ICrV69Wr8/vvvCAwMxMaNG5WuZrh58yZyc3MVxs6fP48+ffpAR0cH+/btQ8+ePRXmT506hR49emDMmDGwsbFB165d5XN5eXno3bs3jh8/jiFDhuDLL7+EmZmZwuPT0tLw+eefIyMjo8jH0a9fvzJbAkJbNm7cCKlUiqFDh2o7lTIzZMgQ7NmzBzt27FD5BxdN0uT5tLKygpWVlQayqnpq166NLl26YPv27VixYoXS/+/iOnv2LC5evIitW7fiP//5DwDAxMQEERERWLNmjfw16969ewgKCsLChQvh5ORU6uMgIiIqiUaNGik1nubNm4dFixbh888/r/JLwQGKTa2qIi8vDxEREfDw8FC6uKiq0HQNVxBNn8+q+jPRhIEDB2L69On4+uuvNfpHPGdnZwghEBkZqbKJ/u2336JJkyYAgL///ls+bmNjg3fffReXL19GWloabG1t5XMXLlzA06dP0adPH+zZswfnzp1Du3bt5PNPnjzBH3/8AQcHB9b7pHFczoWICnXq1CkAwKeffqry44BOTk545513FMamTJmC3NxcrF27VqmBDgDt2rXDtm3bIITApEmTkJ+fL5/77rvvcPz4cXh5eWHz5s0qizNbW1t8++23aj/CVRpvLkny448/wsPDA6ampvKPEI4YMQISiQQ3btzAihUr8N5778HAwEDh6tg///wT/fv3R506dWBgYAAnJydMnTpV5UfZZMuppKenY+LEibC3t4eenl6hS6JIpVJs3rwZLVq0gIuLi9J8UlIS+vXrhwYNGsDAwADW1tZwd3fHokWLAPzvY4OpqalITU1VubzNy5cvER4ejoCAANjb28PAwAB16tRBnz59kJycrLC/ESNGYOTIkQCAkSNHql1z7tmzZwgODsb7778PIyMjWFhYICAgACdOnFB5nF27dkXNmjU1tkSMOoWdTwDYv38/3N3dYWRkhLp162LMmDF4+vSpylh1a6LHxcWhS5cuqFevHgwMDFC3bl14enpi48aNCnESiQQ+Pj64e/cuBg0aBCsrK9SsWRMeHh44cuSI0v6uXr2KWbNmwc3NDbVr14ahoSEaN26MOXPmICsrS2nbCQkJ8n/Lvt6+wvvixYv4z3/+I19OydbWFp07d8aPP/6o8phjY2Px4YcfombNmqhduzaGDx+u9uOb/fv3R3Z2Nnbt2qVyvjju3LkDAPjggw/kY61atcKLFy/w8OFD+diECRPQuHFjTJkypdT7JCIi0qRJkyYBAM6dOycfy8vLw8qVK9G8eXMYGRnB3Nwcvr6+Sr+HL168CIlEgokTJyqM79u3T76cwvPnzxXmHB0dVTaY9u/fj44dO6JWrVowNDRE06ZNsXz5coVaHSi8XtYk2ZIkOTk5mDdvHpydnVGjRg15vSqrme7du4dhw4bBxsYGOjo6CjVYZGQk2rRpAxMTE5iYmKBNmzYqa8s3l1M5efIk/P39YWFhUaQlUQ4dOoS0tDR8/PHHSnNSqRQRERFo3bo1LC0tYWRkBDs7O3Tv3l2eZ0hICHx9fQEAoaGhKpe3KYt67/fff8fAgQNha2sLfX19ODg4YNKkSeVSwxWkoPMJAC9evMCcOXNgb28vf64WdHW8qiUsc3JysGLFCjRv3hzm5uYwNjaGo6Mj+vfvj4sXL8rj3ny+79+/H61bt0bNmjVhbW2NUaNG4Z9//lHa3969ezFo0CA0atQINWvWhLm5OTw9PbF7926FuKioKPn/xc2bNyv8rN58Dsua0Z6enrCwsEDNmjXh4uKCcePG4fbt20r7f/XqFUJCQuDo6AgDAwM0btwYX331lcpzY21tDR8fH/zwww9Kz6PSGjlyJC5cuICkpCSF8YsXLyI5OVn+/vFtsv8Lb7+Xkn3/xRdfQEdHR37VuUxCQgKEEPLHE2kSr0QnokLVrl0bwOuirUWLFoXGp6SkIDExEfXr11f7SxEA/Pz80KZNG5w5cwZxcXHo1KkTAMjXLps3bx50dAr+W5+BgUERj6L4du3ahdjYWHTr1g0TJkxAZmamwvykSZNw+vRpdO3aFd27d0edOnUAACdOnEBAQABevnyJfv36wdHREadOncKaNWvw008/4fTp00pXKOfm5qJDhw7IyspCjx49oKenh7p16xaY3x9//IGHDx+ib9++SnMXLlzAhx9+CF1dXfTs2RMODg5IT0/HX3/9hY0bN+Lzzz+HhYUFgoOD5euNT506Vf542Ufonjx5gqlTp8LT0xMfffQRatWqhRs3buDAgQM4ePAgjh8/Dnd3dwCvl9lIT0/H/v370bNnT5XPlSdPnsDLywuXLl2Ch4cHPvnkE2RmZmL//v3w9fXFrl270KtXL4XH6Ovr44MPPsCpU6eQnZ1dZku6FHQ+AWDLli0YPnw4zMzMMHToUFhYWOCnn35Cp06d8PLlS+jr6xe6j59//hndu3eHhYUFevbsCVtbWzx8+BAXL17Ed999h7FjxyrEP336FB4eHrC2tkZgYCAePnyI6OhodO7cGT/88IPCudqzZw82bdoEX19f+Pj4QCqV4vTp0wgLC0NCQgKOHz+OGjVqAHi9dmFUVBRSU1MRHBws38abP7Pdu3dj8ODBEEKge/fuaNKkCf7991+cOXMGmzZtQvfu3RVyPXDggPz4PvzwQxw/fhxbtmzB9evXVf6BRHbFyNGjR0v9CQN7e3sAQHJysvwPeklJSTAyMoK1tTUAYOfOnfjll1/w22+/QVdXt1T7IyIiKiuyZq0QAv369cP+/fvRuHFjfPrpp8jOzkZ0dDR69OiBlStXYtq0aQCAZs2aoXbt2krNJNn3L1++RGJiIvz8/AC8/hRpamqqUp0eFBSEpUuXon79+ujTpw/Mzc3x66+/YubMmThz5ozKpmlh9bIm9e3bFxcvXkTnzp1hYWGh8EeAx48fo127drC0tMTAgQORk5MjvxBn8uTJCA8PR/369eU1x+7duzFy5EgkJydjzZo1Svs6efIkFi9eDF9fX4wdO1Zlk/JtsuVC2rZtqzQXFBSEZcuWwdnZGYMHD4apqSnu3buHEydO4MiRI/Dx8YGPjw9u3bqFzZs3w9vbW2G5SdnyNpqu9w4cOID+/ftDR0cHPXv2hL29Pf766y+sW7cOMTExOHPmDGrVqqVwLJqs4QpS0PmUSqXo0aMHjhw5AldXVwwePBiPHz/GtGnTitU8HT58OHbu3IlmzZph5MiRMDAwwJ07dxAXF4dz586hefPmCvG7d+9GTEwM+vXrh06dOuH06dOIjIzEr7/+irNnzyqcq6CgIOjr66N9+/bymv/AgQPo168f1q5dK//DWYsWLTBlyhSsWbMGzZs3V6jvZU1/qVSKAQMG4IcffkD9+vUxaNAgmJmZ4datW9i5cye6dOmitITkoEGDcPbsWXTp0gW6urrYuXMnPv30U9SoUQNjxoxROhft2rXDkSNH5H880pThw4dj3rx5iIyMhJubm3x806ZN0NXVxbBhwxAZGan0OF9fX3z11VeIi4vDoEGD5ONxcXFwcnJC8+bN4erqiri4OMydO1dhXvZ4Io0TRESF2L9/vwAgTE1NxYwZM0RMTIx49OiR2vioqCgBQPznP/8pdNtz584VAMSCBQuEEEK8evVK1KhRQ+jp6YkXL15oJP/g4GABQPTt21cEBwer/EpLS5PHR0ZGCgBCR0dHHD58WGl7w4cPFwCEnZ2dSE1NVZjLz88Xzs7OAoA4dOiQwtzMmTMFADFq1CiFcQcHBwFABAQEiOfPnxf5uL788ksBQHzzzTdKc9OnTxcAxL59+5Tm3v7ZOTg4CAcHB5X7yMnJEXfv3lUa//PPP4WJiYno1KmTwrjs3EVGRqrc3uDBg1Xm/M8//wh7e3thbW2t8uc+bdo0AUAcO3ZM5XY1oaDzmZGRIczMzISxsbH4+++/5eMvX74UXl5eAoDSOZQ97+Li4uRjffr0EQDEhQsXlPbx9s8FgAAgBg8eLKRSqXz84sWLQl9fX1hbWys8X+7evStyc3OVthsaGioAiK1btyqMe3t7C3VlwIMHD4SxsbEwNjYWSUlJSvN37tyR/1v2M9fT0xMnTpyQj+fl5QkfHx8BQJw6dUrlfmrVqiUaNGigcu5tBT238vLyRLNmzYSpqamYOHGiGDhwoJBIJGLSpElCCCGePHki6tatK+bMmVOkfckUdI6IiIiK6+bNm/Ka721ffPGFACB8fX2FEEJs3rxZABDe3t4Kv99TU1OFlZWV0NPTE9evX5ePy2qMBw8eyMdcXV2Fp6en0NfXF0FBQfLxTZs2CQBiy5Yt8rHY2Fh5bllZWfJxqVQqPvnkEwFA/PDDD/Lxwurlgjg4OAhdXV21dfn69esV4mW/j1u0aCEeP36stD1ZzTRy5EiRl5enMJeQkCAAiHfffVekp6fLx588eSIaN24sAIjjx4/Lx+Pi4uTb+/bbb4t1XO7u7kJHR0fk5OQozVlaWop69eqJ7Oxspbk3j0m2/+DgYJX70GS99+jRI2FmZibq168vbt26pTC3fft2AUBMnDhR5WOLU8OVVEHnU/b869y5s8LP/Pfffxf6+voqz+Hb73nS09OFRCIRH3zwgdLzJi8vTzx9+lRpf6re482ZM0fluXrz/6fMs2fPhKurqzA3N1d4LsheG4YPH67yXISHhwsAomPHjkrvF58/f67wHJL9zNu0aSMyMjLk41euXBF6enqiSZMmKvche8//xRdfqJx/W2F1MgD5vrp16yYsLS3lP8ucnBxhaWkpunfvLoQQokmTJkrbevjwoZBIJMLFxUU+lpeXJ8zNzcXIkSOFEEJMnjxZGBkZKfyfcHV1FQDE7du3S5Q3UUH4zCGiIlmxYoUwMTGRFw8AhLOzs/j000/F1atXFWKXLl0qABSpYbV+/XoBQIwfP14I8bp5B0DY2NhoLHdZM7Ogr+TkZHm8rEjq3bu3yu3Jmuhr1qxRmjt+/LgAILp06aI09+zZM2FpaSkMDQ0VftHLmugXL14s1nEFBQUJAOLAgQNKc7ImekxMTKHbKaiJXpDu3bsLfX198fLlS/lYQY3Ohw8fCl1dXdGhQweV21u7dq0AIH788UelOdlz6s03e5pW0PmUvZGVNWXf9Ouvvxa7if5mI14dAEJXV1fpTY0QQowePVrpzaw6jx8/FgDEiBEjFMYLKiDDwsKKXETLfubDhg1TO7d27VqVj33nnXeEnp6ewh8JCtuPuj/QpKamip49ewoLCwtRv359MX36dPkfZEaOHCkaNWokXrx4If7++2/h6+sr9PT0RJ06dcTSpUvV7pNFNhERaZKsUebs7CxvGH/22WfC09NTABCGhobi5MmTQgghOnToIACIM2fOKG1n0aJFChehCPG/Jtv27duFEP9rQC1ZskR4eXmJNm3ayGOHDBmi1GTq0aOHAKB0gYgQ/2s29u3bVz5WWL1cEFntq+6refPmCvGy38f79+9XuT0AQl9fXzx8+FBpbtSoUQKAiI6OVpr7/vvvlS5wkTWx3dzcin1ctra2wtLSUuWcpaWlcHR0VNkQflNhTXR1SlLvrVy5ssD62s3NTVhZWamcK04NV1IFnU9fX18BQJw/f15pTlYnF9ZEz8jIEACEh4dHocche76/fQGREK/f41lYWAgzMzORn59f6HGtWLFCABDx8fHyscKa6O+++67Q1dVVet+tiuxnruriI9lcZmam0tzp06dVXvBV2H7UebOJvmfPHgFA7NixQwghxI4dOwQAsXfvXiGE6ia6EP9riMsu6jp37pwAIDZv3iyEEGL37t0Kfwh79OiRkEgkwtnZucR5ExWEy7kQUZFMnz4dY8aMwaFDh3Dy5En89ttvOHPmDL788kts2rRJ/tHSimz79u3FurFo69atiz0vWyf8zY9fypiYmKBVq1aIjY3F33//DVdXV/mcoaGhwvdFIVunUPbxzjf1798fq1evRu/evTFgwAD4+fnBy8sL9evXL9Y+gNdLwyxbtgwnTpzAgwcP8OrVK4X5R48eKdzsRZ1z584hPz8fubm5Km8klZKSAgC4cuUKunXrpjBnaWkp31dh9u3bhwsXLiiMyT4iW5CCzqdsTURPT0+luXbt2indEV6dgQMHYs+ePWjbti0GDx6Mjh07wtPTU+0NSBs0aAAHBwelcU9PT2zatAnJycny5WfE/18nMSoqCn/++ef/Y+/Ow6Iq2z+Af8/swzaALIILoJK7ooa7AlpubfaaZuVuZbZYb1a+WuZaaj/NFq18M0Url9LS1xYxDdyXzKU0FxRxQUHZYWD28/uDmES2GZhhAL+f6+KqOec5z7nPzIDP3POc+0FOTg4sFov1mOvXr9sUI1C0UCcAu27lvL0eebHGjRsDALKzs8s8xtfXFyaTCdnZ2aVuFbZX06ZNsWXLllLbf/31V8TGxmLXrl1QKBQYOnQoFAoFfvjhBxw9ehTTp09HWFgYRowYUa3zExER2erixYuYM2cOAEAulyMwMBBPPvkk/vOf/1jHg8ePH4ebm1uZ483iMgW3j3eKt8XHx2PkyJFISEiAKIro168fdDod3nnnHeTl5cHT0xPx8fFo3ry5tRwaABw6dAju7u5YtWpVmTGr1WqcPXu21PbKxsvlUSqV0Ol0dh1T0bnCwsLKHE9VNDYv63ksVlyu0B4ZGRnWsc+dRo4ciU8++QTt2rXDyJEjERMTgx49ekCtVtt1DkeO9w4dOgQAOHz4MC5evFhqv06nQ3p6OtLT00s9t/aM4coa97/yyitljrlvV9HzefLkSbi7u5coD1KseJxcGS8vLwwZMgQ//fQTOnfujOHDhyM6OhqRkZHWkjhl9X0nDw8PREREICEhAUlJSWjRogUA4ObNm1i4cCF+/vlnXL58GYWFhSWOs/W1ys/Px5kzZ9CiRYty120qS2Vjc09PzxL77Pm8Za8HH3wQAQEBWLVqFR5//HGsWrUKAQEBpT7z3Sk6Ohp//vkn4uPjMWrUKGupluLf5759+0IQBMTHx6NPnz6sh05OxyQ6EdnM09MTw4cPty7ukpOTgxkzZuCTTz7BxIkTkZKSAoVCgYYNGwL4Z7G/ihS3KU7CNmjQAHK5HBkZGdDr9U6teV6ZymqSl7W/uA5keccWX+ed9SIDAgJsWrDodsWD7rI+gHTr1g0JCQl49913sW7dOmuducjISCxatMjmgcWBAwfQr18/AEUJ1fDwcHh4eEAQBGzZsgUnT56EXq+3qa/MzEwAwP79+7F///5y22m12lLbigedbm5ulZ5ny5YtWLNmTantlSXRK3o+c3JyAMBa9/52UqnUum5AZYYPH44tW7bg/fffx2effYbly5dDEATExMRgyZIlperIl/c+Kt5eHBdQVO9z2bJlaNKkCR5++GEEBQVZf3/mzJlj8+t0e7/2fOlS1gLAxV8u3LkYWTF7XteqKCwsxLPPPosJEyYgJiYG27dvx5kzZ7B//3707NkTAwcOREJCApYuXcokOhER1ZiBAwdi+/btFbbJzc0tkeS+XVnjybZt2yIgIMCaZIqPj4eXlxe6dOmCwsJCzJkzB3v37kV4eDhSUlLw9NNPl+gzMzMTJpPJmtwvS1ljtMrGy45U0bnK25ebmwuJRGJdI+XOYwRBKLOOe1WuS61Wl/vFwIcffoiwsDCsXr0a8+fPx/z586FSqTBixAgsWbKk3AkVd3LkeK94bL58+fIK22m12lLx2TOGK+s9NW7cuEqT6BU9nzk5OeX+ftjz2n377bfWz0tvvvkmgKIx7fjx4/Huu++Wuj5bx+aZmZmIjIzElStX0KtXL9x3333w9vaGVCrFiRMnsHXrVptfq6qMy4uv404Vjc2dOS6Xy+UYNWoUPvjgAxw4cAA7d+7Ev//970onIsXExODjjz9GQkICRo0ahYSEBISGhlrrv/v5+aFNmzaIj4/H22+/bf37V/z5lcjRmEQnoirTaDRYtmwZfvzxR1y+fBl//vknunTpgp49ewIoWjnbbDZXuIhf8YIxxQvUyGQydO3aFfv378eePXusCyC5QmVJ7bL2Fw9WylqhHQBSU1NLtLP1XGUp/jBQPAC+U58+ffDzzz+jsLAQhw8fxrZt2/DJJ5/ggQcewKlTp9CsWbNKz/HOO+9Ar9dj79696N27d4l9hw4dKrFqfWWKr3nq1KlYvHixzccB/1xjWR+A7hQbG4vY2Fi7+r+977KeT41GA6BoRsmdzGYzMjIybB7YPvLII3jkkUeQl5eH/fv3WxeIGjRoEM6ePVviA0V576Pi7bfHtXz5cnTo0AEHDx4sMfhNTU2t8ANxWYpjSElJsS5o5AyZmZnw9PR02pdls2bNglartb7fzp07B6DkglqdOnXC559/7pTzExERVZWXl1eZ4w6g/PFkdHQ0vvnmG6SkpCAhIQF9+/aFVCpF9+7doVarER8fj5SUFAClF93z8vKCIAh2z0Ktyhi2qio6V3n7vLy8YLFYcOvWrVKTIW7evAlRFMtMNlZ1bH7t2rUy98lkMrz22mt47bXXcP36dezevRurV6/G2rVrkZqairi4uEr7d/R4r/i6//zzT7Rr186uY+0Zw4miaFffxSp6PjUaDW7dulXmvvLGz2Vxc3Ozfqlx6dIlxMfH47PPPsOHH36IwsJCrFixwqa+7xybf/HFF7hy5QrmzZuHt956q0TbhQsXYuvWrTbHWNxn8e+us9jzeasqJk6ciPfffx8jRoyAxWKxaVHaqKgo60xzs9mMvXv3Wu/CLRYdHY2VK1dCp9MhISHBuo3IGSSuDoCI6jZBEODu7l5iW3h4OHr27ImUlJQyZwQX27VrFw4fPoywsLASA/nif1DffffdSgdd9sy2qAmdOnUCAOs/4LfTarU4evQo1Go1WrZsWe1zFd/uW5wYLI9arUZ0dDSWLFmCGTNmoLCwEL/88ot1v1QqLXem8MWLF+Hr61sqgV5QUIBjx46Val/8hUlZ/UVGRkIQBBw8eLDiCytD8TXaW/LGHhU9nx07dgQA7N27t9S+gwcPwmQy2X0+T09PDBo0CP/9738xbtw4pKWl4fDhwyXaXLlyBZcvXy51bHEcxe+3pKQkiKKI++67r9TskbJiBip+rYpvl96xY4edV2U7rVaLa9euOe01PX78OJYuXYqPP/641Eyn2/9u6PX6Gk0AEBER2aJTp04oKCiwlli7XfE488472IrH0+vXr8dff/1lnY2pVCrRs2dP/Prrr6XKIRTr1q0bMjIyrOX16ouKxublPY9V1b59e+h0Oly5cqXCdsHBwXjiiSewfft2tGjRAjt37rTOAq5ofObo8V63bt0AwO6xubPHcMUqej47duwIrVZb5ueR8p6LyoSFhWHChAnYvXs3PDw88L///c+mvvPz83HixAl4eXlZJykVl8d55JFHbOqjotfJw8MDbdq0waVLl5z6++nsz1tt2rRBt27dkJKSgu7du6N169aVHuPr64uOHTsiKSkJ33//PfLy8kr97YqKioJer8e2bdtw+vRptGrVyqZSo0RVwSQ6EVVqxYoV+O2338rct2XLFpw5cwbe3t4lZjB8+OGHUCgUeOmll/DDDz+UOu7IkSN48sknIQgCPv744xKz1UePHo0+ffogISEB48ePR15eXqnj09LSrDXaa5NevXqhefPm+Pnnn7Fz584S++bPn4+MjAw88cQTUCgU1T5Xnz59IJFISiVegaLBcFm3PxbPklCpVNZtvr6+SE9PL7N9SEgIsrKycPr0aes2s9mM1157rczZH8W19Moq5dOwYUOMGDECBw4cwP/93/+V+QXJ4cOHUVBQUOb2oKAgu+oA2qui5/ORRx6Bl5cXVq1ahfPnz1u3G43GUrNLKrJnz54yB8fFM81uf12Aoud6xowZJZ6rP/74A19++SX8/f0xZMgQALDWTT9w4ECJupjXrl3D9OnTy4ylotdq7Nix8PDwwJIlS8qsE+qImTC///47zGYzoqKiqt3XncxmMyZOnIghQ4bgscces24vHqz/9NNPAACTyYQdO3bYNIgnIiKqSWPHjgUATJ8+vcR6NFevXsX7778PmUyGp556qsQxxUn09957D0DJkgYxMTE4ceIEduzYgXvuuQfBwcEljp0yZQoAYMKECdZ1Ym6XmpqKM2fOOODKalbx8zhnzpwSZVtycnKsM7eL21RX8ZjmzrGkXq/HgQMHSrXXarXIz8+HXC6HRFKUmqlofObo8d748ePh6emJN998s8RYv1hBQYG1bvrtnDmGu115zydQ9HkRAN58880SY+s///wTX375pU3937p1C6dOnSq1PSsrC3q9vtS4HAB27txZ6q6Bd955B9nZ2RgzZoz1dSx+rfbt21ei7bp166zj0Nv5+PhAEIRyy6G+8MILMJvNeP7550vVVtfpdOXemWyP4ufZma/rqlWr8P3339tUs75Y8d+14t/XO5Poffv2BQDMnTuX9dDJ6VjOhYgq9fPPP+O5555DixYt0KtXLwQHB0Or1eL48ePYu3cvJBIJPvnkkxK38917773YtGkTnnjiCTz00EPo0aOHdQHGEydOYOfOnZBKpfj888/xwAMPlDifTCbDli1bMHz4cKxZswb/+9//MGDAAISFhcFgMOCvv/5CQkICjEYjRo0aZfN1bNq0qcwFkQCgVatWdi06Wh6JRILY2FgMHDgQQ4YMwfDhwxESEoKDBw8iISEBzZs3x8KFC6t9HqBosBUVFYV9+/ZBp9OVGOgtWrQI8fHx6Nu3L8LCwqBSqXDs2DHs2rULzZo1w6OPPmpt269fPxw9ehSDBw9Gnz59oFAo0LdvX/Tt2xcvvfQSduzYgd69e2PEiBFQqVRISEhASkoKoqOjS83qKV4g6YMPPkBWVpb1dsDiRPMnn3yCc+fO4Y033sCXX36JHj16wNvbG1evXsXRo0eRmJiIGzdulJhdc/HiRVy6dAmTJ092yPNWnoqeT41Gg48++gjjxo1DZGQkRo4cCY1Ggx9++AFqtdrm2Q5TpkzB9evX0bt3b4SGhkIQBOzbtw9HjhxB9+7dS83479ChA/bt24fIyEjcd999uHXrFjZu3AiTyYT//ve/1jruQUFBGDZsGDZv3ox7770X/fv3R1paGn744Qf079+/zMWi+vXrh02bNmHYsGEYPHgwVCoVOnbsiIceeggBAQFYu3YtRo4cia5du+Lhhx9Gy5YtkZ6ejsOHDyM0NLTMRTztUXw3xNChQ6vVT1mWLFmCixcvYtu2bSW233fffWjTpg2ee+45azmis2fPYtOmTQ6PgYiIqDpGjx6N7777Dlu3bkWHDh3w4IMPQqvVYuPGjcjMzMSSJUtKleZr2bIlgoKCcOPGDTRo0AAdOnSw7ouJiYHFYkFGRkaJL5iLDRo0CDNnzsS8efPQokULDBo0CCEhIcjIyMCFCxewd+9ezJ8/32FfPJtMpjIXnCw2cuRItGrVqtrnKR7Pfvzxx2jXrh2GDRsGURSxefNmXLt2DVOmTLEm4arrkUcewauvvopffvnFuoYUUFRrulevXrjnnnvQpUsXNG3aFPn5+fjhhx+QmpqK1157zfo5qlWrVggODsaGDRugVCrRuHFjCIKAl156yeHjPX9/f6xfvx7Dhw9Hx44dMWjQILRq1Qp6vR7JycnYvXs3evbsWWrSkjPHcLcr7/kEir74WLduHbZv345OnTph8ODByMzMxPr16zFgwIAyJ3HdKSUlBZ06dULHjh3RoUMHNGrUCBkZGdi6dSuMRiNee+21Usc8+OCDeOihh/DYY48hNDQUhw4dsi7UO3fuXGu70aNHY9GiRXjppZcQHx+PkJAQnDx5Ert27cK//vUvfPfddyX69fDwQGRkJPbs2YPRo0cjPDwcEokEo0ePRkhICCZPnozdu3fjm2++QXh4OB5++GF4eXnhypUriIuLwxdffFGt10MURezatQutW7fGPffcU+V+KtOmTRu0adPGrmNiYmKwdOlSnDp1CqGhodYvKIoFBgaiVatW1i9EmEQnpxKJiCpx9uxZ8b333hPvv/9+MSwsTFSpVKJKpRKbN28ujh07Vjx69Gi5x6akpIivvfaa2LZtW9Hd3V1UqVRiixYtxOeee048f/58hee1WCzipk2bxKFDh4rBwcGiQqEQ3dzcxHbt2olTpkwR//rrL5vinzVrlgigwp9HHnnE2n716tUiAHH16tVl9jd27FgRgHjp0qVyz/nHH3+Ijz32mOjn5yfK5XIxJCREfPnll8Vbt26VahsSEiKGhITYdC132rhxowhA3LhxY4nt27dvF8eMGSO2bNlS9PT0FD08PMQ2bdqIM2bMKBVDXl6e+Mwzz4hBQUGiVCoVAYizZs2y7t+0aZPYuXNn0c3NTfTz8xNHjBghXrx4sdzn4ccffxQjIyNFtVptfX5vV1BQIL733ntily5dRHd3d1GtVothYWHi0KFDxbVr14pGo7FE+9mzZ4sAxBMnTlTpObJHec9nse+//17s0qWLqFQqxYCAAPHpp58WMzMzy3wNi9938fHx1m0bNmwQR4wYITZv3lx0c3MTNRqN2LFjR3HRokViXl5eieMBiFFRUeLVq1fFxx9/XPT19RVVKpXYo0cPcceOHaViy8vLE6dOnSqGhoaKSqVSDA8PF+fNmycaDAZrX7czGo3iG2+8ITZt2lSUyWQiAHHs2LEl2hw/flwcMWKEGBgYKMrlcjEoKEgcPHiw+MMPP1jbVPT7Eh8fX+r9VCwsLEyMiIgo83kuS2W/l8UuXLggqtVq8ZNPPilzf2Jioti/f39RqVSKwcHB4pIlS8rtKyoqqtT7l4iIqKouXbokAhAHDhxoU3uj0SguXrxYbN++vahUKkVPT08xKipK3Lp1a7nHPPnkkyIAcdiwYSW2GwwG0cPDQwQgrl+/vtzjf/nlF/Ghhx4S/f39RblcLjZs2FDs0aOHOG/ePPHKlSvWdrb+u1yWkJCQSsfm33//vbV9Zf8elzXOudOqVavEyMhI0c3NTXRzcxMjIyPFVatWlWpX0djFFoMHDxZ9fHxEnU5n3WYwGMRFixaJAwYMEBs3biwqFAoxMDBQ7Nu3r7hu3TrRYrGU6OPQoUNiVFSU6OnpaX0+isfbzhjvnT17Vpw4caIYEhIiKhQK0cfHR2zfvr04ZcoU8ciRI6Wu0d4xXHWU9XwW02q14htvvCE2atRIVCqVYps2bcT//ve/5b6Gd47Xs7KyxNmzZ4t9+/YVg4KCRIVCIQYHB4uDBg0Sf/755xLH3v5+37Jli/WzToMGDcRx48aJN27cKBXfiRMnxAEDBog+Pj7W392dO3eW+7tz7tw5cciQIaK3t7coCEKpzxEWi0VcuXKl2L17d9Hd3V10c3MTw8PDxeeee67E72ZFvy/lfX5LSEgQAYgffPBBmceVxZbfy5YtW9rUV8uWLcvtKzs72/oZddy4cWW2mTRpkghAFARBvHnzZrXiJqqIIIpVXOWBiIhczmg0omXLlmjevHmJOuf1hclkQnh4OMLCwvDrr786/Xy16fkUBAFRUVFl1vCs63bu3In7778fa9aswZgxY2w6JjY2FuPHj8fq1asxbtw45wb4t+joaOzevbvKC2IRERHR3WXXrl2477778NVXX5Uqt1MfVGUMVx215fl0xTi0Jo0aNQo///wzLl68WGotofLU1XFyXY2bagfWRCciqsPkcjkWLFiAnTt3lllrsa5bs2YNLl++jMWLF9fI+er781lbzJkzBxEREXaVYyo2fvx4CILgkPJLZdHpdBAEAYIgYPfu3U45BxEREdVP/fv3x6BBgzB//vwSdcvri+qM4aqivj+ftcH58+exYcMGvPXWWzYn0G9XPG6ubWuV3Y7je3IU1kQnIqrjHn/8cVy5cqXMRaDqOkEQ8Pnnn6Nz5841ds76/HzWBpmZmejfvz8eeugh6+JLtoiIiMCsWbOsj29fyNiRZDJZifMQERER2ePDDz/EunXrkJKSgiZNmrg6HIep6hiuuurr81lbXLt2DbNmzcILL7xg13Hjxo0rschnixYtHByZ43B8T47Cci5ERES1UH0u50JEREREVFfU93IuRGQbJtGJiIiIiIiIiIiIiMrBmuhEREREREREREREROVgEp2IiIiIiIiIiIiIqBxMohMRERERERERERERlYNJdCIiIiIiIiIiIiKicjCJTkRERERERERERERUDibRiYiIiIiIiIiIiIjKwSQ6EREREREREREREVE5mEQnIiIiIiIiIiIiIioHk+hEREREREREREREROVgEp2IiIiIiIiIiIiIqBxMohMRERERERERERERlYNJdCIiIiIiIiIiIiKicshcHQA5hsViwfXr1+Hp6QlBEFwdDhERERFVQBRFAICXlxfHbvUQx+ZEREREdYMoisjLy0NwcDAkkvLnmzOJXk9cv34dTZo0cXUYRERERGSHnJwceHl5uToMcjCOzYmIiIjqlqtXr6Jx48bl7mcSvZ7w9PQEUPSC84MYERERUe2Wm5vLJGs9xrE5ERERUd1QPC4vHr+Vh0n0eqL4NlEvLy8O1ImIiIiIXIhjcyIiIqK6pbISfFxYlIiIiIiIiIiIiIioHEyiExERERERERERERGVg0l0IiIiIiIiIiIiIqJysCY6EdVrBoMZO86mIjVHj4YaJQa0agiFQurqsIiIiMiBfvvtN8yaNQsHDhyA0WhE+/bt8eqrr2LEiBE296HX67Fo0SJ8+eWXuHr1Knx9ffHggw9i/vz5CAgIcGL01ZOeeg2XP+yDDpLMctsYLMC6oNfh76mExFQIn9AOiOw1CCeTE6H45km0Nl5BXRkdiX//VwBggICj8o4wPPgpGjVqBKm+ANd+XgRF/jUYPJug28hZUCiV+CN+HYxZKZD7NEKHmCehUKut/ZmMJpw6exp5uVnw9PJBu1ZtIZPzYzIAWCwiUrILoTWY4K6QoZG3GhJJxfVia5uC3Dwc3PIBhOxrEL0bo8fQV+DmVfHCcZUx6PT47UAcCrLS4OYTiMieA6FQKV3eF5Vmy3u4Lr/PnR07/z5WrqbfP3afz2IBcq4ChnxA4QFomgAS2+ZTO/LaUpP+ANb2gY/RvtncFguwUARmLcyp0nkdTRBFUay8GdV2ubm50Gg0yMnJ4eJFRH/78mAyVu69hFt5OphFEVJBgL+nCk/3CcPoHqGuDo+IiO5iHLs5Tnx8PAYOHAiVSoWRI0fC09MTmzdvxuXLl7F48WJMnTq10j4sFguGDBmCuLg4dO/eHVFRUUhMTMT333+PsLAwHDp0CP7+/jbHVFOv71+zO6GVJQmVrINVgh5S6KGA3GKASjDbdWxtJYpAutkNnlIDlILJut0oSlAIBWSCCCksMEOCLMEH11pPQI/Hp+Hg4f24uv9beOVfgkzUwyQokesRhia9hqNHt14uvCLXu3AzD3Gn0nDxVj50JjNUMima+3tgYLtAtAioXhK6puxcPgWd0zbBUyiEABEiBOSJahwLfAz3vfBRlfrctXUNPE9+gYbm65DDBCNkSJUGI6/jRPR/ZKzL+qLSbHkPX7iZh7g/byDz+kUIxnyIcg/4BjfHwPZBtf597uzYi/4+foOA/DNQWXTQSVS46dEaTXqNuOv/Phar6feP3ee7dQ6Wv7ah8MYZmA2FkCrUUAe1hqTNQ4B/yxq7trzZfnC3GKs83hBFwGQCFO86L5Fu67iNSfR6gh/EiEr68mAy/i/uHPQmM9wUMihlAvQmEQUGE5QyKV4f2JKJdCIichmO3RzDZDKhVatWuHbtGg4dOoSIiAgAQE5ODrp27Yrk5GScP38eISEhFfazevVqTJgwAU888QS+/vprCH9/0vvss88wefJkPPvss1ixYoXNcdXE61ucQAdg9wdTMwDJ358C60MS/Xbi3z9C8QMAOkGGXMELchjhZtFBL1HgqP9jKMxOg5spGzmKQJilKkjNOmgMaSiQecPvvil3baLows08rN6fjKx8HVqqc6CR6JFjUeJcoQY+HiqM7xVa6xOMO5dPQZ+0ryGFGQZBBhMkkMEChWiCGVLsDXzK7kT6rq1rEHL8PbhbtMiSaGCACgro4GPJgVbijsud3rA5+X17X/kSd5gggwwmeFi0dvdFpdnyHgaAH3YlIPRWPMKQAhWM0EGOS2iEZP8YPNg/uta+zy/czHNq7AcP74ful3fRxHQZckGEIBQlMo2igKuyEKjun3HX/n0s5uzXoNrnu3UO2QkfIz3tOq6ZfVEABdxgQGNpJvwCg+Ed/VK5iXRHXltxAh2o+nijOGvtzES6reM21kQnonrHYDBj5d5L0JvM8HWTw00hhVQigZtCCl83OfQmM77YdwkGg9nVoRIREVE1/Prrr7h48SKefPJJawIdADQaDWbMmAGDwYA1a9ZU2s/nn38OAFiwYIE1gQ4AkyZNQrNmzfD111+jsLDQ4fFXVXrqtSon0IG/PwQK9S+BfjsBf1+fAKhgggVmGKBEtsQTSosendM2wd2YiQx1GMxyD0Aig1nugQx1GNxM2bh64FuYjKbKTlPvWCwi4k6lQZGViCeMm3F/2hfomfIF7k/7Ak8YN0ORlYgdp9NgsdTeuXgFuXnonLYJUphRIChggRQSABZIUSAoIIUZndM2oSA3z+Y+DTo9PE9+AXeLFjckgbBADiWMsECOG5JAuFu08Di5Cgad3ua+NJZcWCRS+CIPDZEBX+TBIpFCY8m1uS8qzZb3cNypNBw+fBCdb2xEG1yCSemDLLcQmJQ+aINL6HxjI347cqhWvs8tFhFHjhxyWuwmowk5ez5HC9N5KCUi9FIP5Es10Es9oJSIaGE6j5y9n9+Vfx+LOfs1qPb5LBakH92Mq1ev4qwpGILKE97uaggqT5w1BePq1atIP7q5qFaKE68tNemPaifQbz9WJgPm/EdT9Y4cgEl0Iqp3dpxNxa08HdwUMkjuqPclkUjgppDhZq4OO86muihCIiIicoSEhAQAwIABA0rtGzhwIABg9+7dFfah0+lw+PBhtGzZstSMdUEQcP/990Or1eLo0aPl9qHX65Gbm1vix5kurRwDoRpJ8L9zy/WWcMf/CwDcRd3fWyTQCUp4CoVQwAThjrGiIJEgVxEAr7xLOHX2dA1FXHukZBci79opPFCwFYH551Ao0yBTHYJCmQaB+efwQMFW5F49hZTs2vOl0p0ObvkAnkIhjIIECpihgAFKGKGAAQqYYRIk8BQKcXDLBzb3+duBODQ0X0eBxA0NkYEg3ERD3Pz7vxkokKgRZE7BbwfibOqrifkqpBIL3KCHCVLooIQJUrhBD6nEgqbmKzb1RaXZ8h6+lXQcbkk/w0+Sjwy3ZjDIPCAKUhhkHshwawY/ST48L8chJUvr6sspJSVLC83lOKfFfurMn2imPQFBkCBX6g2jIIcICYyCHLlSbwiCBGH5J3DqzJ8OvrK6w9mvQXXPZ8m+gvRLp5AmNEADDyUUMikEQYBCJkUDDyXShAZIv3QKluwrTr02ydoHqjVWuV1xP/9x8eCFSXQiqndSc/QwiyKUsrL/wiplAsyiiNQczu4gIiKqyxITEwEA4eHhpfY1bNgQHh4e1jbluXjxIiwWS5l93N53Rf0sWLAAGo3G+tOkSRNbL6FK/E0pTu2/LivvCwIZ/rkD0ShIIUCEHEYIogh3Sz405my4W/IhiCJMUjVkoh55uVk1FndtodUb0CpnDzwtuWUmUDwsOWiVsxdavcHVoZZLyL4GCSyQ/v0jQoAFEogQIIUFkr9/hOxrNvdZkJUGNfTwQj7U0JVIfKuhgwZaqGFAQVZa5X1l3oA7CiBAhA5KWP5Oy1gggQ5KCBDhjgIUZN6o8nNwN7PlPXxvThz8dMkoUDUsneETBGhVgfDXJcOQcdk1F1EBQ8ZlNHBi7Mab5+GJPGglXij911RAgcQTXsiD8eb5KvVfHzj7Naju+W6mZ0BXqIVC7VFme4XaA7pCLW6mZzj12jxQYNd12sLGNVGdhkl0AF999RUmTZqEe++9F0qlEoIgIDY2ttz2ubm5ePXVVxESEgKlUonQ0FC8/vrryM/Pt/vccXFxiIqKgqenJ7y8vBATE4Ndu3ZV42qIqKFGCalQVAO9LHpT0SKjDTXKGo6MiIiIHCknp6g2pkZT9u29Xl5e1jbV6eP2dmWZPn06cnJyrD9Xr16tNPbqyJf6OLX/uq6sEaD5to++ctEMEQLkMKGl4TTa6P9Aa8OfaKP/Ay0Np+FtvAmToISn1933PHvp09DIeBWZMv8yEyjZMn80Ml6Bl77yZLGriJpGAAAJxL8T1MXXUZRMl/z9DiluZws3b3/IYYIChjIT33IYimrue1e+ALGPm+y22EorjtHHTWZzfPQPW97DTUxXoRHzUQBFmX0UQgkljHCHrsz9ruQOHVQwOi12T5UcAGApZ/nE4ioexe3uRs5+Dap7Pi1U0EEON5T9Zacaeughhxaqap+rIvlwq7SNvcqoQFOj+FcZwFtvvYXLly/Dz88PQUFBuHy5/G9UtFotoqKicOLECQwYMABPPPEEjh8/jsWLF2P37t3Ys2cPVKrSb8SyfPXVVxg9ejT8/f0xbtw4AMDGjRtx//3345tvvsFjjz3miMsjuusMaNUQ/+d5Hqm5hVDJhBIlXSwWCwoMJgRp1BjQqqELoyQiIqp9JkyYUO0+hg4diocfftgB0dQdSqUSSmXNfTkfPGIpxK8HVX2RLtTvci63K04DFQrFCQELVKIeWigRIKRDNCtRKPGASZBCJprhbc6At+UGTnv0QrtWbV0Vtss0VBpRoLDgnEEGX4VYMgkpisg0yHGPwoKGSqPrgqxEz37DYLz4ARQwwyxYUHLuoAUSETBAip79htncZ2TbtsjZq4DaUvj3qry3/waJkFosKJSoEdm28vdMx3adkXtEBYVFD4NEUaovhcUIvUSFju062xwf/cOW93AblRQiZLhZmA+5zKdUG0NhPlRqdwT4Naj5C6hEgF8DZKvdke6k2Fu0jMDVBA3cTXnIkygA4bbfH9ECN0sedHINWrSMqN6F1GHOfg2qez5FgxBkqEIRpruAHFnzUu3ddWlIUrVAcIPSi6478tosY36EGNsHQPVLuhR/p7NQBGZVr6tqYRIdwMqVKxEeHo6QkBAsXLgQ06dPL7fte++9hxMnTmDatGlYuHChdft//vMfLFq0CEuXLq3w+GJZWVl46aWX4Ofnh2PHjqFx48YAgGnTpqFTp06YPHkyBg4cCE/P2rkaNFFtplBI8XSfMPxf3DlkFhjhppBBKSuamV5gMEElk2Ji7zAoFFJXh0pERFSrVHQ3pi0EQUBoaGiNJdGLZ4+XN0s8NzcXPj4Vzya2pY/b29UGvuHdkCWRQmMxV+mDaX1OoIt3/BciYBIEiJBBAT3cLDroJQrccmsJt8LrMFgAMywQJRKYLRYYLYBKENA6yAsy6d1347ZE5YkAXw1SM43I0ErhqZJBJpXAZLYgT2eCt8yAAF8NJKra+zlVrQDSVI3hq7sCmWiBWRAhQoAAEVJRhBkS5KgaI7DsiZZlUggGWDQhMOQkwcOiRaFECTOkkMIMtUUPvUQBiyYUCqHyMjdyT1/ovcMhyT5bZl8miQx673DIPX2r8SzcvWx5D/v6BsLkFoDApLO4nO8GT7X8nzaFRoSIGfAL6waJd1NXX04pEu+m8AtrB+OZw06JXdYgFJKwXpBeiIPalAO9xA0WiQwSiwlKSwFkgggxtDdkDUIde2F1iLNfg+qer5GPO/aGDET6+VQ0LEhCnjIQRqkacnMhPPVpuGHxQF7IQDTycXfqtTVs1gF5EjncLUaIYtUT6cUJdJMJmLWw4rsLne3uGxWU4b777iu1iFBZRFHEypUr4eHhgZkzZ5bYN3PmTHh4eGDlypU2nfPbb79FdnY2XnrpJWsCHQAaN26MF198Eenp6fj+++/tuxAishrdIxSvD2yJhl5q6I1mZBUYoTeaEaRR47WBLTG6R6irQyQiIqqVXnnlFVy6dMnun6SkJIjl3P7tLBXVK09NTUV+fn65tc6LNWvWDBKJpNya5xXVXXcZiQQ+LxyEKPnnwyX9kzgv/pwuioABEhghg0bUQikacEvSAEnNxyG8RUugaQ8UKBpAZtFDbcqFzKJHodIPYtPuCFHrgRznluWplTRN4NW4DTp65SPAQwmd0YLsAgN0RgsCPZXo6KWFV5O2gMa5df+rReGBwFY9kOLWCgbIIYUIOSyQQoQecqS4tURgqx6AwsO+PkNaI8+/C3IkGihFIzzEAihFI3IkGuT7d0FgSCvb+tQ0QXDnwTBompfZl0HTHMFdhtTu57g2s+k93A6+PcehSZMmaCW7DujykKstBHR5aCW7jiZNmsDv3mGuL8BcFokEfvcOc17sEglCBrwIaePOkMmkUFm0UJtyoLJoIZNJIWncBSEDXqidz01NcfZrUM3zSSQCunbtjmNBj+MvhEGmz4J3wWXI9Fn4C81wPOhxRHbtDomkjKy2g6/Nc3Y6tJLql/4xmQDFu65NoAOciW6XxMREXL9+HQMHDoS7e8lvbNzd3dGrVy/ExcXh6tWrlS4mlJCQAAAYMGBAqX0DBw7E7NmzsXv3bowZM6bM4/V6PfT6fxZFLJ4hQ0T/GN0jFI93aYIdZ1ORmqNHQ40SA1o15Ax0IiKiCnh7e9s0waQ2iIqKwoIFC7Bjxw6MHDmyxL64uDhrm4qo1Wp07doVhw4dwuXLl0tcuyiK+OWXX+Du7o57773X8RdQHf4tIX3hCEzLu0JqSyJdAMwAREgghaXkbPS6nIj/+0JESGFSN0ShvhAmUYBe4Y0GnYZB0vZBnPrzKIxZKZD7NEKHmCfRNDcJ2P0eGjUNR1CTe3Az4yb0Oh3cVCoENAiARLAAGRcAg/1rXtV5EgnQ+iF45qTg3oI05PsGwiBRQWHRwcOQBol7Q6DVg7U7gaZpAviFI9RYCKPHQFw+fxiCPhei0gtN7umG0PxLgP899iWp/+4zxFgIc4tRSLl2EUa9FnKlOxo1bg5p9gXb+/z7OQ7MSYE59yZStQbojWYo5VIEuSsg1QTU/ue4NrP1PezfEt7RL8Hrr20IunEGZkMOpAoV1MG9IGldtL/Wcnbs/i3R8OE5MJ/6H3KSjsCs10KqdIemeTdI2z5Uu5+bmlLT7x87z9ciwBMP9o9G3J8t8ef1i5AY82GRe6BBo+Z4sF0QWgRUcDeRg6/t9JizeH31BmwyvYkGUkBSskJMhXXOLZa/S7i4eAZ6MSbR7VDZLJTw8HDExcUhMTGx0iR6RX1VNKOm2IIFCzBnzhyb4ia6mykUUjzYwfZFg4iIiO5mn376abWSxdU93l79+/dHs2bNsG7dOkyZMgUREREAikqzvPvuu1AoFCUmpdy4cQM5OTkICgoqUZ7l2WefxaFDhzB9+nR8/fXXEP6+53jFihVISkrCs88+C7VaXWPXZTP/lpC9nQXsXgTsXlhBQwkw5nvITAbgz03A+ThAn/3P7jpf30UCoceLUEROgAIiYCwomhGsaQJIJLi3SceSzXUegEwFGLWQKL3QMOCOdXJ0+UX77ZmpXJ/4twS6PwfJmW3wSk8E9LeKno/gCGvysVb7O4mKnBTI8y+hWatOgMINMBQAuZcA9wb2J6lv61OafQFNgxv902f2Bfv7/Ps5lp7ZhkbpiYBJV/Qc+99TN57j2s7W97B/S0j6hMM952rRl2a3/d2o9Zwdu39LSKOmwjeiDj43NaWm3z92nq9FgCeaxXggJbsxtAYT3BUyNPJWlz0DvZrnqoiXSg6pZ1v0z98As8WCIDEdGokeuRYlLpl8YYEEAgB3hRTuShkaalRQSAVcySpEy0BPrBobafc5nYVJdDsU10ksrx6il5dXiXZV7cuWfqZPn45XX33V+jg3N7fSxD0RERERUUUmTZrk0uPtJZPJsHLlSgwcOBB9+/bFyJEj4enpic2bN+Py5ctYvHgxQkNDre2nT5+ONWvWYPXq1Rg3bpx1+9ixY7Fx40asX78ely5dQlRUFC5cuIDvvvsOYWFhmD9/fo1el10kEiBmetGPLXxCgIIMIHkPYK68fnOtJ1UCKh+g1SDAN9S2Y/6eVYwbfwD+nqUWTkNuChDc8e4up+HfEmgQXlTSpi4m0P5OouLMNiA9Eci7/ncStWPVk9SO7rOuP8e1na3Pr0RS9HexLnJ27HX5uakpNf0c2Xk+iURAE1+3GjlXeTxVcrQI9AAEIKvAgGsGf1w1ARBF3D4J3WC2QGI042pmARRSCeQyAYlpeTh6JRPdm/lVOw5HYBK9jlIqlVAqla4Og6jWydcasOTXc7iWqUNjXxWm9msJD3c7Vg0iIiK6y+n1+jo1zoyJicG+ffswa9YsbNy4EUajEe3bt8eiRYvw+OOP29SHRCLB1q1bsXDhQnz55ZdYunQpfH19MXHiRMyfPx/+/v5Ovooa5N8SGPQusHcJcPYnwJDn6oiqTqYG3PwBlTugtGOhy9tmFePWWcDrtlnFuSlVm6lcH9X1BJozktSO7rOuP8e1HZ9fIpdr5K1GpyY+0JssaOilREq2Drk6I3QGM2AuqicnlQCeKhkkgoACoxl5epP1Jrl1h6/Az0NZcQmaGsIkuh2KZ42XN0O8uC55eTPVy+urQYMGVe6HiP7x4rpj+PnPG8V/hwEAaw9cweD2QVj2ZGfXBUZERFSHeHt7o0ePHoiOjkZMTAy6d+8Oubz6i0I5U9euXfHzzz9X2i42NhaxsbFl7lMqlZg1axZmzZrl4OhqIf+WwNDPgKxLwKV9QNKvwF/bUFQ1vQ6RKACVJ+DdFFB62XesM2YqU+3jjCQqE7NERDaTSATc3yYQ59PykK7Vo31jL3go5bickY+jydkAAF83BSAA+XozLKIIuVSA0VS0fktarg6r9ydjfK9QlyfSmUS3Q2W1yiurmX5nX0ePHkViYmKpJLo9/RBRkRfXHcMPf9wotd0s4u/tx5hIJyIisoFarUZCQgISEhIwZ84cqFQq9OzZEzExMYiJiUHXrl0hlXKR7jpPIgEaNC/6uXds0TaLBci8CPwyG7jwC2DWuzTESnkFAx6BQJPIqpVeYTkNIiIip7pwMw87TqciPV+Pa9kFSLppgadKjgbucqjkEpgtRYuNFhiKEugyAQAEiBAgl0nQMtATt/IN2HE6Dc38PGyr6e4ktTKJvmfPnmr3ERoaiqZNmzogmn+Eh4cjODgY+/fvh1arhbu7u3WfVqvF/v37ERYWZlNt8qioKKxfvx47duxA9+7dS+yLi4uztiGiyuVrDfj5z38S6Lf/TbX8PSv95z9vIF9rYGkXIiKiSmRkZODkyZNISEhAfHw89u7di127dmHXrl0QBAHu7u7o3bu3NanepUsX60KcVMdJJEW1wu97G0j9A8i54uqIyqfwAHyaAZrA6pVe4axiIiIip7hwMw8f7EzE2Rs5KDCYYfo7QVNoNMEsyhHi54Yb2Xrk6EwwW0TIJALMImAyWyCTCNCoZTCLQJBGhQs385GSXVj1Gu8OUCuT6NHR0dUeiM+aNQtvv/22gyIqIggCnn76acydOxfz5s3DwoULrfvmzZuH/Px8zJgxo8QxBQUFuHLlCtzc3Eok9UeMGIFp06bh448/xoQJE9C4cWMAwLVr17Bs2TL4+fnh0UcfdWj8RPXVkl/PWUu43PmlpEQoSqSbxaJ2sx5qX/MBEhER1SGCICAiIgIRERF45ZVXIIoiTpw4USKpvn37dmzfvh2CIMDLywt9+/bF1q1bXR06OYp/S6D1g8ChT1wdSdkkcsCvJdC0C0uvEBER1UIWi4h1h67g0MUM5BtMMJtFiBAhQIBUKiBfZ0YDDwU6N/XGqeu5yMjXw2ASIZEIUCukaOChgFImhUIqgVohRVquDlqDyaXXVCuT6EDRLOyqzMQWRRFz586165iVK1di3759AIA///zTui0hIQEA0Lt3bzz99NMAgDfeeANbt27FokWLcPz4cXTu3BnHjh3Djh07EBkZiVdeeaVE30eOHEFMTAyioqKs/QGAj48Pli1bhtGjR6Nz587WRY82btyIjIwMbNy4EZ6eri+aT1QXXMvUObQdERER/UMQBHTq1AmdOnXCv//9b4iiiOPHjyMhIQGxsbE4deoUfvjhB1eHSY5270TgyErAYnBhEFIAln/+XyoDPPyBDo8Dncew9AoREVEtdTWrAL+cSUN2oREQRQgCAAtghgijRYTOaIHZYkEjHzUGtg5Awvl0SCSAWi6Dh1KKrAIjfN0V8FTJkK83QSmTwl3h2jR2rU2iR0dHV3kmub1J9H379mHNmjUltu3fvx/79++3Pi5Ooru7u2P37t2YPXs2Nm/ejPj4eAQFBWHq1KmYNWsW1Gq1zecdNWoU/Pz88O6772L16tUQBAFdunTBW2+9hfvuu8+uayC6mzX2VTm0HREREZXt2rVriI+Pt/5cvnwZAODh4eHiyMjhfJsBLfoDiTsAsQYXHFX6AJ4NAe/GRbPMQ3oCqX8CealFNdBbPQDIWJ6PiIioNrtwKw9puTqIogiIgEks3SZXb0aG1gC1XAp/TyWyC4xQyARkFRihVkjR3L+ojPaNHB3aN9KgkbftOVdnqJVJ9G7dulnLm9TE8bGxsYiNjbW5vUajwdKlS7F06dJK20ZHRxe9YcoxaNAgDBo0yOZzE1FpU/u1xNoDV2AWi0q3lFUTXSoUtSMiIiLbpaamlkiaJyUlQRRFeHl5oXfv3nj++ecRFRWFLl26uDpUcjSJBLh/DqDLBq4fB0wG/DMr3AZSZVHJldCewM1zwNXDgKkQgAgIMkClAYI6FtUjv3keMBYACjfAqxEQ2KpkmRb/e5xwgUREROQsF9O0MP5dd7f8rCiQdDMf4f4e8HFX4Fa+HjdzTWjgqUATHzV0RjPOp+WhgYcSA9oGunRRUaCWJtEPHjzo0uOJqG7xcFdgcPsg/PBH0eKiljL+Qg9uH8RFRYmIiGzwzTffWOufnz9/HqIowtvbG3369MHkyZMRFRWFTp06QcIyGvWff0vgoQ+B01uBpF8BXS5QkAEYCotmgwsCYNQDhjwUJdgFQCID1L6AdwgQ1A64dwLQIBzISgauHABybgBeDYGQXoBPaFGy3mIBcq4ChvyiBUNZpoWIiKhOU8iFCpPnxQqMFhxOSsc7w9rjSkYhfjh5Ham5ehzLy4ZcKkGonzuGtwpAiwDXl7wWxIqmSVOdkZubC41Gg5ycHHh5ebk6HCKXeHHdMfz85w3rIqNA0Qz0we2DsOzJzq4LjIiI6A61eewmkUggkUgwaNAgDBgwAFFRUejQoQMEwbWzf+qS2vz6VsntSe78m8CpLUBuCuDmC6i8imarXzkCmPVFJVd8W5SeTU5ERER3jf+dTMGU9Sdsbt/EW41mAR5Qy6XwUskgkQiwWETk6kxo4KHA+F6hTkuk2zpuq5Uz0W1RUFCAixcvQhAENG/e3K5a5ERUPy17sjPytQYs+fUcrmXq0NhXhan9WnIGOhERkZ0sFgsSEhKg0+mQl5eH/Px8dO3aFXK53NWhkStIJEVlVwAgsG1RovzMNiA9EdDeAmQqoMtYoFFnwCOAs8mJiIjucs0beEApA/Qm29qn5hYiR2/EQ+2D4Of5z3p2DUURiTfzseN0Gpr5ebi0pEudS6IXFhbi9ddfx8qVK2E0GgEACoUCkyZNwqJFi6BUKl0cIRHVNItFREp2IbQGE9wVMsx8oJ3La2URERHVVRkZGdi9ezfi4+ORkJCAt99+GwCgVqvRvXt3REVFITo6Gt27d2dS/W7l37KoRAtLsBAREVEZvNzkaOCmwPVcg03tBQAmswVnUvPQ20NpvQNSEAQEaVS4cDMfKdmFaOLr5sSoK1bnkujPP/88tm7dirfffhudOnWCXq/Hjz/+iI8++giFhYVYsWKFq0Mkohp04WYe4k6l4eKtfOhMZqhkUjT398DAdoG1omYWERFRXePj44OhQ4di6NChAIqS6sU10hMSEjBr1iwIggCVSoXu3bsjOjoa0dHR6NOnj2sDp5p1++x0IiIiots08lajc1MfXD+VZlN7iwjIJAKytAbk6UzwUv8zUUOtkCItVwetwcZp7U5Sa2ui5+TkQKPRlNru6emJlStX4vHHHy+x/amnnsJPP/2ErKysmgqxVql3dReJbHDhZh5W709GptaAII0KbgoZCgwm3MjRwdfduTWziIiIqqMuj91u3bqFhIQEJCQkYMeOHUhKSoIgCDCZXPvBpjapy68vERERkSP8fOo6Jn913Ka2EgBeahm83RTo1cIPfh7/VBrJ0xmRXWDEv++/xykz0W0dt9Xa++1at26NzZs329yeCx0R3V0sFhFxp9KQqTUgPMADnio5pBIBnio5wgM8kKk1YMfpNFgstfJ7QiIiojrJZDIhMTER58+fx/nz53H9+nWIoohaOi+HiIiIiFykXbA3VDZmni0AAAFKqQCF9J+DRFHEjRwdWgR4oJG3a9fDrLXlXMaNG4cnnngCDzzwAD755BMEBQUBAIYNG4bnn38eycnJ6NixI/R6PX766SesW7cOEydOdHHURFRTUrILcfFWPoI0qlJfotWmmllERER1mdlsxm+//WYt53LgwAEUFBRYk+YNGjTA4MGDERMT4+JIiYiIiKg2aeStRoCXEley9Ta1V8olECEAEGGyWFBoMFsrDQxoG+jyte9qbRL93XffxciRI/H000+jdevWWLhwIZ577jksX74cSqUSM2fOtN4yKpfL8dxzz2Hx4sUujpqIaorWYILOZIZarkJuoREGswUKqQSeKhkEQag1NbOIiIjqmiNHjliT5vv374dWq7Umzb29vfHQQw8hJiYGMTEx6NChg4ujJSIiIqLaSCIR4ONuexK9ibcCHZo0QHaBETfz9FDKpGjfSIMBbWvHmne1NokOAB06dMChQ4fwwQcf4PXXX8e6devw+eefY8WKFViyZAmSkpIAAM2bN4e7u7uLoyWimuSukMFgsuBQUga0BjNMZgtkUgl83BRoEeABuVSAUiaFu6JW/5kjIiKqdbp37w5BECCKIry8vDBkyBBr0jwiIoJlFImIiIjIJvc09MTJlFyb2ooWAW890AYp2YXQGkxwV8jQyFvt8hnoxWp9dkkikeDVV1/Fv/71L0yaNAkRERGYMWMGpk+fzpkvRHexQoMZt/L0SM3VIchLBblKBqNZxK08HfJ0Rvi4KdCjeQOX18wiIiKqawYMGIB+/fohJiYGXbp0gURSa5dRIiIiIqJa7OGIYHz7e4pNbS9n5EMiEWptSd5an0QvFhoairi4OKxduxZTp07FN998g5UrV6Jbt26uDo2IapjFIuKXv9KglIjILzTgVL4eKpkUzRuo4a6UIjVXD6lEwH1tAmrNN5ZERER1xfbt210dAhERERHVAz3C/Gxum15ogcFgRlq+njPR7SWKIn777TdcuXIFTZs2RWRkJMaMGYMhQ4ZgypQp6N27N55//nm8++67LOdCdBdJyS7Ef/dcRI7un3rn+QYzTt7Ih0IKtG/sDR83BdTyWv0njoiIiIiIiIio3pLJJPCUA3lG29rP3HYKRpMInclcNFnS3wMD27EmeoVSUlLwyCOP4Pjx4xBFEYIgoHPnzti6dSuCg4Oxbt06jBo1Cs8//zy2bNmCTz/9FEOGDHF12ERUA8avPlwigX47gxm4fEuLhs1VXFSUiIioCiZMmGD3MYIg4IsvvnBCNERERERUlykUMsBoW37mj2s56NGsAdwUahQYTDh1PQfXcwoxvleoyxPptTaJPmXKFJw9exZr1qzBvffei99//x2TJ0/Gyy+/jG+//RYAMGTIEJw+fRrTp0/Hww8/jBEjRmDdunUujpyInCkztxAXbhVU2Ca9wAjRZOaiokRERFUQGxtrXVjUVkyiExEREVFZNCoZMrS2JdEVEhGiCGQVGKCQStDC3x0Xbmmx43Qamvl5uLS0S63NMO3evRsTJkzAqFGjAACtWrXC4cOHSyXJ3d3d8dFHH+HJJ5/Es88+64pQiagGvfDVUZva/ZmSw0VFiYiIqkgmk2HIkCEYO3YsgoKCXB0OEREREdVRrQK9kJShs6nt+bR85OlFGM0WyKUSBHgqEeytwoWb+UjJLnTpoqO1Nonu5uaGjIyMEtsyMjKgVpedFOvevTuOHTtWE6ERkQsdvJJrU7sbeYZas/gEERFRXbJ8+XKsWrUKW7duxY8//ohBgwZh4sSJePDBByGVSl0dHhERERHVIQGeKpvbFpqALK0B+Dudk11gQHq+HsHeapeX7K21SfTHHnsMH330ETw9PdG5c2ccP34cGzZswMsvv1zuMTJZrb0cInKAggIbV6IAANvvQCciIqLbTJ48GZMnT8aff/6JL774AuvWrcOPP/4If39/jB49GuPHj0ebNm1cHSYRERER1QE+Xkq72ptFCzwUMlhEQG+yIDVXD1EE1HLXTuaQuPTsFViwYAGee+45rF27Fs899xzWrFmDyZMnY8GCBa4OjYhcZFnCBZvbhvrKnRgJERFR/de+fXt88MEHSElJwYYNG9CpUycsXboU7du3R48ePbBy5UoUFFS8TgkRERER3d26hvja1V6rNwMQIJUIUMkkMFssyNMb7VqvxxlqbRJdqVRi2bJl0Gq1SEtLg1arxbJly6BU2vftBRHVH5/sSbK57VfP9HRiJERERHcPuVyO4cOH4+eff8aVK1cwb948XLlyBZMmTcLOnTtdHR4RERER1WKRob5wsyMDbRYBk8UCk0WEzmSxzkBPznDt5I1am0QvJggC/P39IQisbUx0N7uemWdX+4Y+Hk6KhIiI6O5kMBiwd+9e7N69G2lpaRBFESqV7TUuiYiIiOjuI5NJ0D3cz65j8vUmmMwi3JUy+HkqIJe6PoXt+giIiGzw1MrDNrdtFVD2AsRERERkv+PHj+Oll15CcHAwnnjiCfzxxx+YOnUqzpw5gwEDBrg6PCIiIiKq5bqE+tjV3kMpQxMfNYI1KuiNFnir5Wjm5+6k6GxTK5PowcHBeP/99112PBHVPqm5epvb/qtzUydGQkREVP9lZmbio48+QqdOnXDvvfdixYoV6N27N7Zs2YJr165h0aJFaNmypavDJCIiIqI6wM/DvvLcCqkEEICMfD0sItCtWQM09nFzUnS2kbn07OVITU1Ffn6+y44notrHYsf6EWO6hzotDiIiovpuxIgR2LZtGwwGA1q2bImFCxdizJgxCAwMdHVoRERERFQH+XvaVwIwT2eEUi6FVCJBx2BPPNmtKSQS15b6rpVJdADYsmULkpOTq3Qs66cT1S8WiwjYmERXCIBKVWv/tBEREdV6mzZtglwux0MPPYSePXtCFEWsWbOm0uPeeOONGoiOiIiIiOqaFv4eUEoBvdm29lKJBC38PdChsTcGtgtEiwBP5wZog1qbaTpx4gROnDjh6jCIqBa4mlUAvcW2tsHe9t0iRERERKUZjUb873//w7Zt2yCKlX+TLQgCk+hEREREVKbGPm5oHeSJE9fybGqvUcswsU8Y7g3xdfkM9GK1Mol+6dKlavfh7e1d/UCIqFaI+r8Em9v2Dvd1XiBERER3gdWrV7s6BCIiIiKqRyQSATGtA21OoucWGuGhktWaBDpQS5PoISEhrg6BiGqJI8kpdrX/z8B2ToqEiIjo7jB27FhXh0BERERE9Uz7Rt42t83TmZCvMzkvmCqQuDoAIqKKjPjshM1tG3ur4OGucF4wRERERERERERktxb+HvCQ2zaz3CwWLS5qsdi4QF4NYBKdiOqNiX3CXB0CERERERERERHdobGPG5oHeNjU1iwCsQeS8WnCRVy4aVsJGGdjEp2Iai2TycbVRP/2RJemToqEiIjo7hAcHIz333/fZccTERERUf0kkQjoGtbA5vZqmRSnrudg9f7kWpFIZxKdiGqtfedv2tVepaqVyzwQERHVGampqcjPz3fZ8URERERUf/Vo5gdblwrN0RkRHuCBTK0BO06nuby0CzNORFRrfZyQ6OoQiIiI7jpbtmxBcnJylY4VBFs/FhERERHR3SYswB0qGVBow5qhl9Pz0TW0AYI0Kly4mY+U7EI08XVzfpDlYBKdiGqt36/k2tzWX+nEQIiIiO4iJ06cwIkTJ1wdBhERERHVM1JBgFwqQaEN5XsztUbcyC1EoJcKabk6aA02ZN6diEl0IqqVMnML7Wq/9eW+ToqEiIjo7nHp0qVq9+Ht7V39QIiIiIio3sk3mFBosG39O6MFKDSYUWgwQymTwl3h2jR2nUqiX758GdeuXUN6ejrc3Nzg7++PVq1aQaVS1VgMsbGxGD9+fIVt+vXrh127dlXYJiEhATExMeXuX716NcaNG1eVEInqhVc2HrerfbCvp5MiISIiunuEhIS4OgQiIiIiqqeyCwww2lHaXCWT4EaODu0badDIW+28wGxQ65Po8fHxiI2Nxa5du3Djxo1S++VyOe699148+uijGDduHBo0sH2V16qIiIjArFmzyty3adMmnD59GgMHDrS5v6ioKERHR5d5HqK72blU21dennZ/CydGQkRERERERERE1ZWSaXvVARHAHyk5aNnQCwPaBkIice3aO7U2if7NN99g1qxZOH/+PERRRJMmTTB06FAEBgbC19cXhYWFyMzMxLlz5/D777/jwIEDeOuttzBq1CjMnTsXQUFBTokrIiKizAS3wWDAsmXLIJPJMHbsWJv7i46OxuzZsx0XIFE9kaa1vdbV+F7NnRgJERERERERERFVV6HJbHNbhQQQ7Zi17my1MonevXt3HDlyBJ07d8aSJUswfPhwNGrUqNz2RqMRe/bswVdffYVvvvkGGzZswNq1a/Hoo4/WWMxbtmxBRkaGNdFPRFV3PjXD5rYCAJWqVv4pIyIiIiIiIiKiv3mp5Da3NYuAzmDCjZxC7DidhmZ+Hi6djV4rM08KhQI7d+5Ev379bGovl8vRv39/9O/fH0uXLsWSJUtw5coVJ0dZ0sqVKwEATz/9tF3HJSYm4oMPPkBhYSEaN26Mfv36VfiFQTG9Xg+9Xm99nJuba1/ARLXYgA8O2dxWIXViIERERERERERE5BD5eqPNbc0ikJanR7bOBIVUgoc6BqOJr5sTo6tYrUyi79mzp8rHent7Y968eQ6MpnKXL1/Grl270LhxYwwaNMiuY9etW4d169ZZH8tkMrz00kv4v//7P0il5WcHFyxYgDlz5lQ5ZqL6IshL4eoQiIiIiIiIiIioEhdu5tvV3mwBCo1mnLmRh5xCA5rAdUl0icvOXI+sXr0aFosF48aNqzDxfTt/f38sXLgQp06dQn5+PtLS0rBlyxa0aNECS5cuxRtvvFHh8dOnT0dOTo715+rVq464FCKX237mgl3t1z3T3UmREBERERERERGRo1zPKrCrvQVFifQ8nRFJ6fYl4B2tVs5Er0ssFgtWr14NQRAwYcIEm49r27Yt2rZta33s7u6ORx55BN26dUOHDh3w0UcfYdq0aQgICCjzeKVSCaVSWe34iWqb59acs6t9sK+nkyIhIiIiIiIiIiJHsFhEJKZVLRFuFoEsrcHBEdmnziTRb926hdWrV+O3335DdnY2zObSq7kKgoBdu3bVaFw7d+7ElStX0L9/f4SFhVW7v4YNG+KRRx7BypUrcfjwYTz00EMOiJKIiIiIqOouX76Ma9euIT09HW5ubvD390erVq2gUqlcGldubi5mz56NzZs3IzU1FUFBQRg+fDhmzZoFDw8Pm/sRhPIXqRo7dixiY2MdEC0RERHR3etqVgFu5Oorb1iOQmPpXHBNqhNJ9D/++AP9+vVDVlYWRFEst11Fg19nqeqCohXx8/MDAGi1Wof1SVQXpGbZ941kM1/WQyciInKW+Ph4xMbGYteuXbhx40ap/XK5HPfeey8effRRjBs3Dg0aNKjR+LRaLaKionDixAkMGDAATzzxBI4fP47Fixdj9+7d2LNnj11J/pCQEIwbN67U9oiICMcFTURERHSXupSuhcFUfl63Mt4q1+aA6kQSferUqcjMzMRbb72FiRMnonHjxjbXHnemjIwMbN26Fb6+vnj00Ucd1u/hw4cBAKGhoQ7rk6gueHDxbrvar3umh5MiISIiunt98803mDVrFs6fPw9RFNGkSRMMHToUgYGB8PX1RWFhITIzM3Hu3Dn8/vvvOHDgAN566y2MGjUKc+fORVBQUI3E+d577+HEiROYNm0aFi5caN3+n//8B4sWLcLSpUsxffp0m/sLDQ3F7NmznRApEREREVWHRAAk0pqfPH27OpFEP3jwIIYOHYq5c+e6OpQSvvzySxgMBowaNarc+uTp6elIT0+Hn5+fdYY5APz+++/o0qVLqfYffvgh4uPjER4ejsjISKfFTlQbpdt5Z05DH9tv0yYiIqLKde/eHUeOHEHnzp2xZMkSDB8+HI0aNSq3vdFoxJ49e/DVV1/hm2++wYYNG7B27VqHTjApiyiKWLlyJTw8PDBz5swS+2bOnInly5dj5cqVdiXRiYiIiMh5mvm5QykFCu3M/UgAqOVS+Hu6dm3IOpFEVygUaN68uavDKOWLL74AUHEpl2XLlmHOnDmYNWtWiZktw4YNs94C27hxY2i1Whw6dAjHjx+Ht7c3vvrqq1ox256IiIiI7h4KhQI7d+5Ev379bGovl8vRv39/9O/fH0uXLsWSJUtw5coVJ0cJJCYm4vr16xg4cCDc3d1L7HN3d0evXr0QFxeHq1evokmTJjb1mZ2djf/+979IT0+Hr68vevXqhfbt2zsjfCIiIqK7TmMfN3iq5SjMN9p1nCAAvu4KNPNz7UTKOpFEj4qKwtGjR10dRglHjhzBqVOn0LVr1yoNridPnoy4uDjs2bMHGRkZkEgkCAkJwSuvvIKpU6eicePGToiaqPbKzC20q/2GSR2dFAkREVHdI5VKMXLkSHz99dfV6mfPnj1VPtbb2xvz5s2r1vltlZiYCAAIDw8vc394eDji4uKQmJhocxL95MmTmDRpUoltgwYNwpo1axAQEFDhsXq9Hnr9Pwtl5ebm2nROIiIioruFRCKgc1NvbP/rls3HSIWi4wK9lGikUTsxuspJXHp2Gy1evBinTp3C4sWLXR2KVdeuXSGKorV+eXlmz54NURRL1VecNm0afv31V6SkpECn06GgoABnzpzB0qVLmUCnu9J97/5qV/vuYfw9ISIiKubl5WVzsrg+yMnJAQBoNJoy93t5eZVoV5mpU6fiwIEDSE9PR25uLg4cOIDBgwdj+/btePDBB2E2V3zf8YIFC6DRaKw/d9NrQURERGSr9o187GovEQQoZVLIpRLcyNU5KSrb1MqZ6BMmTCi1rV27dpg2bRo+++wzREREWAfGtxMEwVpihYjqlkw72sqdFgUREVHd1LVrV5w8edLVYdht6tSpJWZwV+bll18ud/Z5ddw5WadHjx744Ycf0K9fP+zevRtbt27Fv/71r3KPnz59Ol599VXr49zcXCbSiYiIiO7gprKvdLVSCngopcjUGpCnt68MjKPVyiR6bGxsufuSkpKQlJRU5j4m0YnqpqSbWXa13/ZyNydFQkREVDfNnj0b0dHRWLt2LcaMGePQvm/duoXVq1fjt99+Q3Z2dpmzsgVBwK5du+zue8WKFdBqtTa3f+yxxxAeHm6dgV7eTPPicirlzVS3hUQiwTPPPIPdu3dj//79FSbRlUollErXLnZFREREVNtZLPatKioKAnTGomPydSZnhGSzWplEv3TpkqtDIKIa1O/9A3a1bxXk56RIiIiI6qZffvkF0dHRGD9+PD7++GNERkYiMDAQgiCUaCcIAmbOnGlzv3/88Qf69euHrKwsiKJYbrs7z2Or/Pz8Kh1XPBu9uDb6nSqrmW4rP7+iMYc9iX4iIiIiKluezr4kutFkgdkiQiaRwF3u2jR2rUyih4SEuDoEIiIiIqI64/b1d37//Xf8/vvvZbazN4k+depUZGZm4q233sLEiRPRuHFjSKX23YbrDOHh4QgODsb+/fuh1Wrh7u5u3afVarF//36EhYVVu6RK8fpHoaGh1eqHiIiIiACpxL7lOY0WQC6IgABojZyJTkRks8UjHF8HlYiIqK6Lj493Sr8HDx7E0KFDMXfuXKf0X1WCIODpp5/G3LlzMW/ePCxcuNC6b968ecjPz8eMGTNKHFNQUIArV67Azc0NTZs2tW7/888/0apVK8jlJVddOXDgABYtWgS5XI7hw4c794KIiIiI7gL3hvjafYxUIgFEwE3p2okcdSKJvmTJEixYsAB//PEHgoODS+2/fv06OnbsiJkzZ2LKlCkuiJCIqsreeuj/imASnYiI6E5RUVFO6VehUKB58+ZO6bu63njjDWzduhWLFi3C8ePH0blzZxw7dgw7duxAZGQkXnnllRLtjxw5gpiYGERFRSEhIcG6fcmSJfjxxx/Ru3dvNGnSBHK5HKdPn8aOHTsgCAKWL19ea58DIiIiorokMtS+JLpMAFRyKWRSAQV6+0rBOJp9c+grsXbtWsTFxTmySwDAt99+i44dO5aZQAeA4OBgREREYMOGDQ4/NxE510NL7auHLpFUreYqERER2S8qKgpHjx51dRhlcnd3x+7du/HKK6/gzJkzWLJkCc6ePYupU6di165dUKvVNvXzyCOPoFevXjh58iRWrVqFjz/+GH/99RdGjhyJgwcP4rnnnnPylRARERHdHWQyCRp52D6jXBQApVSARi2Hh7Ie1USfOHEiXnzxRQwcONCR3SIxMRFPPfVUhW3atm2Lr7/+2qHnJSLn05a/RhkRERHZaf/+/YiNjcWJEyeQm5sLLy8vdOrUCWPGjEHv3r3t7m/x4sXo3r07Fi9ejNdee80JEVePRqPB0qVLsXTp0krbRkdHl7k46qOPPopHH33UGeERERER0R0KTBab25osQL7BgjB/BTxV8soPcCKHJtGDgoJgMjm+yHthYWGJxYLKolKpkJ+f7/BzE5Hz6HT2/b3oEOCkQIiIiOqBf//73/joo4+siWJBECCKIn7//Xd88cUXePnll/H+++9X2MeECRNKbWvXrh2mTZuGzz77DBEREfDy8irVRhAEfPHFF465ECIiIiKqt0RRAGD7jEq9yQyD2YIgL5XzgrKBQ5PoDz/8MH755Rfo9XoolUqH9du0aVMcOFBxyYeDBw+icePGDjsnETnf3B/suz183aT7nRQJERFR3bZmzRp8+OGHuOeeezBr1izExMQgMDAQN2/eRHx8PObMmYMPP/wQERERGDNmTLn9xMbGlrsvKSkJSUlJZe5jEp2IiIiIbOHvpUT2rUKb2xvNIlKyCnE9pxBNG1Q8ydqZHJpEf+edd3Dw4EH861//wnvvvYe2bds6pN8HHngAH3zwAVatWlXm7JiVK1di3759ePnllx1yPiKqGeuOZtjV3sNd4aRIiIiI6rZPP/0UjRs3xuHDh6HRaKzbAwMDMXLkSAwePBjt27fHJ598UmES/dKlSzURLhERERHdpbo380XirRS7jsnUGnAhLa/+JNE7deoEvV6PEydOYPv27VCpVAgICIAglFwIUBAEXLx40eZ+//Of/2D9+vV45pln8NVXX+H+++9Ho0aNkJKSgh07dmDPnj0IDg7G9OnTHXk5RERERER1wunTp/H000+XSKDfTqPRYNiwYVi5cmWF/YSEhDgjPCIiIiIiAECXUD98edi+JLrRLOLCLS36OSkmWzg0iW6xWKBQKNC0adMS2+9cwKesBX0q4u/vj/j4eIwaNQoJCQlISEiw1ngEgMjISHz99dfw9/ev3gUQUY3J1xrsav+/F+91UiRERER3hzsnthARERER1bRwf0+7jxEByByaxbafQ0+fnJzsyO5KaNmyJX777Tf89ttvOHLkCHJycuDt7Y2uXbvi3nuZXCOqa6Z9e8Su9h0aBzopEiIiorqvbdu22Lx5M+bNmwcPD49S+/Py8rB582a7yy0uWbIECxYswB9//IHg4OBS+69fv46OHTti5syZmDJlSpXjJyIiIqK7g4daBpVcgM5o3yRrO+dkO5zEtae3X2RkJF544QXMmDEDzz//PBPoRHXUj2dzXB0CERFRvTFp0iRcu3YNPXr0wObNm5Geng4ASE9Px6ZNm9CzZ09cu3YNkydPtqvfb7/9Fh07diwzgQ4AwcHBiIiIwIYNG6p9DURERERU/wkA/Kqw5p3UxWlsp53dZDLh9OnTOHjwIE6fPg2TyVTlvpo1a4aPPvqowjbLly9Hs2bNqnwOIqo51zPz7Grf3E/lpEiIiIjqh/Hjx+PFF1/E6dOnMWLECAQGBkIulyMwMBCPP/44Tp8+jRdffBFjx461q9/ExMRKZ6+3bdsWiYmJ1QmfiIiIiO4SBUYz3OX2p6S1BvvKAjuaw6vJZGZmYtq0aVi3bh10Op11u1qtxpNPPokFCxagQYMGdvWZnJyM7OzsCttkZ2fj8uXLVQmZiGrYQx/ssav91xO7OSkSIiKi+uOjjz7C8OHDERsbixMnTiA3NxdeXl7o1KkTxo4diz59+tjdZ2FhIdzd3Stso1KpkJ+fX9WwiYiIiOgu4q6QwWCy2H1ccnqBE6KxnUOT6JmZmejevTsuXLgAX19f9OnTB0FBQUhNTcXRo0excuVK7N69GwcPHoSvr68jT42cnBwolUqH9klEzpFh55eHDX1K13YlIiKif+zZswdeXl7o06dPlZLl5WnatCkOHDhQYZuDBw+icePGDjsnEREREdVfjbzV0JvtL3D+Z0q244Oxg0OT6PPmzcOFCxfw+uuv4+233y4xa6WgoADz5s3DokWL8M4772DJkiUV9rVnT8mZqsnJyaW2AYDZbMbVq1fx9ddf45577nHMhRBRrWF/lSwiIqK7T0xMDCZNmoRPPvnEof0+8MAD+OCDD7Bq1SpMmDCh1P6VK1di3759ePnllx16XiIiIiKqnyQSAW5VKOdyK8e1M9EFUXTc2qbNmjVDaGgofv3113Lb9OvXD8nJyUhKSqqwL4lEAkEQbDqvKIoQBAGxsbEYPXq0XTHXF7m5udBoNMjJyYGXl5erwyEq19HL1/HYp8dtbr/95W5oFeTnxIiIiIhqnqPHbkFBQXjiiSfw/vvvOyC6f9y6dQsdO3ZEWloaoqKicP/996NRo0ZISUnBjh07sGfPHgQHB+PYsWPw9/d36LnrMo7NiYiIiMo3+vP92Hsx265jlBLg3LsPODwWW8dtDp2Jfv36dTzxxBMVtunRo0elt4QCwNtvvw1BECCKIubOnYuoqChER0eXaieVSuHr64uYmBi0bt26qqETUQ2xJ4EOgAl0IiIiG9x///1ISEiwTi5xFH9/f8THx2PUqFFISEhAQkKCdYwOAJGRkfj666+ZQCciIiIim/l6qgFk23WM0f4y6g7l0CS6RqOpdHHPy5cvQ6PRVNrX7Nmzrf+/e/dujB8/HmPGjKluiERERERE9c7ChQvRo0cPPPvss1i0aJFD1x9q2bIlfvvtN/z22284cuQIcnJy4O3tja5du+Lee+912HmIiIiI6O7QOtALW3HDrmMcN02kahyaRI+KisK3336LcePG4b777iu1f9euXfj2228xdOhQu/qNj493UIRE5ErJt7Ltat8hkIsFExER2WLUqFHw9vbGqlWr8NVXXyEsLAyBgYGlZqULgoBdu3ZV6RyRkZGIjIx0RLhEREREdBe7r3UAFsads+sYN6mTgrGRQ5Pos2bNwo8//oiBAwdiyJAhiIqKQmBgINLS0pCQkICff/4Zbm5uePvttx15WiKqI+5fst+u9qsm9HRSJERERPVLQkKC9f/1ej3Onj2Ls2fPlmpnb6mXZs2a4ZVXXsGUKVPKbbN8+XIsWbKk0jWPiIiIiIgAQCG3PyMe3tDDCZHYzqFJ9LZt2yIuLg7jxo3Djz/+iB9//LFEzcTmzZsjNjYWbdu2tbvvq1evYv78+di5cyeuX78Og8FQqo0gCDCZTNW+DiJyDqOd7f00bk6Jg4iIqL6xWJxTJDI5ORnZ2dkVtsnOzq60pCMRERERUbECoxluUqDAbPsxjRu4Nkfk0CQ6APTu3RuJiYnYv38/jh8/jtzcXHh5eaFTp07o1atXlRY6SkpKQrdu3ZCVlYW2bdtCr9cjJCQEKpUKSUlJMBqN6NixI7y9vR19OUREREREtd7cuXMRFhaG0aNH1/i5c3JyoFSyBBsRERER2cZdIUMjbyUSM/Q2H6Nz8cqiDk2iT5gwAe3bt8e///1v9O7dG71793ZIv3PmzEFOTg527dqFqKgoSCQSjB8/Hm+//TZu3LiByZMn46+//sLOnTsdcj4icryb2Vq72n/zXIRzAiEiIqqH5s+fj1deecUhfe3Zs6fE4+Tk5FLbAMBsNuPq1av4+uuvcc899zjk3ERERERU/zXyVkMuVwCwPYl+M7fAeQHZwKFJ9HXr1uHf//63I7sEAOzcudNaY71YcYmYoKAgbNy4Ee3bt8eMGTOwYsUKh5+fiKrvoaUJdrXvGtrIOYEQERHVQ02bNq207IqtoqOjrXePCoKANWvWYM2aNWW2FUURgiBg4cKFDjk3EREREdV/EomA1kGe+Cs1z+ZjMu2p/eIEDk2iN2/eHDdu3HBklwCA9PR0tGrVyvpYJpOhoOCfbx+USiXuv/9+bNmyxeHnJiLHSLP9y0UiIiKy08iRI7F27Vrk5ORAo9FUq6+3337buq7R3LlzERUVhejo6FLtpFIpfH19ERMTg9atW1frnERERER0d3m0SyN8f/w6bC3SIkB0ajyVcXg5l4ULFyIlJQWNGjluFqmfnx+0Wm2Jx8nJySXayGQyh82+ISLXCtU4fLkGIiKiem3mzJk4ceIE+vXrh7lz5yIyMhIBAQFV6mv27NnW/9+9ezfGjx+PMWPGOChSIiIiIiKge6gfwvzccDHdtjItFtfm0B2bRB82bBji4+PRs2dPvPHGG4iMjERgYGCZi4k2bdrU5n7Dw8Nx8eJF6+OuXbsiLi4OSUlJaNasGW7duoVNmzahefPmDrkOInKsA0lX7Wq/4bleToqEiIiofnJzcwNQVF7l4YcfLredIAgwmUw29xsfH1/t2IiIiIiI7iSTSTDjgTZ4Zs1Rm2ajS0unl2uUQ5PozZo1s976OWXKlHLb2Tt4Hzx4MGbPno3s7Gx4e3vjlVdewbZt29ChQwe0bt0aFy5cQG5ubolZM0RUezz53z/sat/Qx8NJkRAREdVPffr0KXPiChERERFRbRXSwA1uCgH5hsqnmSul0hqIqHwOTaKPGTPGKYP3yZMnIzo6GtK/n6zo6Ghs2LABs2fPxqlTpxASEoL58+fjmWeecfi5iYiIiIhqu4SEBKf1ffXqVcyfPx87d+7E9evXYTAYSrWxd5IMEREREd3dLtzMw+r9ydDZkEAHgOwCnZMjqphDk+ixsbGO7M7Ky8sL3bp1K7Ft+PDhGD58uFPOR0SOY28pl0/G3OOkSIiIiMheSUlJ6NatG7KystC2bVvo9XqEhIRApVIhKSkJRqMRHTt2hLe3t6tDJSIiIqI6wmIREXcqDZlaA8w2HpOtd21RdIkjO2vWrBlefPFFR3ZZK4WGhkIQhDJ/oqOj7err66+/RteuXeHu7g4fHx88+OCDOHbsmHMCJ3IBe0u5DGkT7qRIiIiI6pcrV64gNzfX5vbnz5/H//73P7vOMWfOHOTk5GDXrl04efIkAGD8+PE4c+YMkpOT8fDDD0Or1WLTpk129UtEREREd6+U7EJcvJWPII3K5uS0pD7VRE9PT4enp6cjuyzh2LFjWLNmDY4fP46cnBxoNBp06tQJY8eORefOnZ123rJoNBq88sorpbaHhoba3Mc777yDt956CyEhIXjuueeQl5eHDRs2oGfPnti1axd69eLiikRERERUtrCwMMyePRszZ860bluxYgVWrFhR5qSM9evXY+7cuTCbbZ3vA+zcuRNDhgxBVFSUdZsoFs0CCgoKwsaNG9G+fXvMmDEDK1asqMbVEBEREdHdQmswQWcyw02hhkIGFNpQFVAtd35cFXFoEr1Dhw44f/68I7u0ev3117F06VJYLCXXa923bx+WL1+OV199Fe+9955Tzl0Wb2/vai1kmpiYiNmzZ+Oee+7BkSNHoNFoAADPP/88unfvjmeeeQanTp2CROLQmwWIapROZ19t1Ht8nBQIERFRPSSKojWhXSw1NdU6Y9wR0tPT0apVK+tjmUyGgoIC62OlUon7778fW7Zscdg5iYiIiKh+c1fIoJJJUWAw2ZRAB4C8QufGVBmHZminTZuGbdu2IT4+3pHdYtmyZViyZAnCw8Px5ZdfIjk5GYWFhUhOTsbatWvRokULLFmyBJ988olDz+tMq1evhslkwptvvmlNoANAREQEnnjiCZw5cwb79u1zYYRE1Tdv21G72m964T4nRUJERERV4efnB61WW+JxcnJyiTYymQzZ2dk1GxgRERER1VmNvNVo7u+BGzm2LxZq+72UzuHQmehZWVkYMGAABgwYgKFDhyIyMhKBgYEQhNJFa8aMGWNzv5988gmaNGmCI0eOlCgX07RpU4waNQoPPfQQ2rdvj2XLluH55593yLVURq/XIzY2FtevX4eXlxciIyNLLX5akYSEBADAgAEDSu0bOHAgYmNjsXv3bvTt29dRIRPVuK9/z7CrvZeH0kmREBERUVWEh4fj4sWL1sddu3ZFXFwckpKS0KxZM9y6dQubNm1C8+bNXRglEREREdUlEomAge0CcT3H9unlDk1iV4FDzz9u3DgIggBRFLF582Zs3rwZAEok0UVRhCAIdiXRL126hMmTJ5dbb12j0WDYsGH47LPPqncBdkhNTcX48eNLbIuMjMT69ett+hCRmJgIDw8PNGzYsNS+8PBwa5vy6PV66PV662N7FpUiqo06BtTsn0OTyYJjV7OQoTWggbsCnZv4QCZj+aSaUlBgxH8PXMS1TB0a+6rwbM/mcHNzcYEzIiIqZfDgwZg9ezays7Ph7e2NV155Bdu2bUOHDh3QunVrXLhwAbm5udUqc0hEREREd58WAZ4Y3ysUW49dQb6x8vYNPF2bRnfo2VevXu3I7qwCAgJsahcYGOiU899p/Pjx6NOnD9q1awcPDw+cP38e77//Pr788kv0798ff/75Z6ULrObk5JR7XV5eXtY25VmwYAHmzJlT9YsgcrLtZy7Y1X710zV318WuM2mI3Z+M5AwtjGYL5FIJQhu4Y1yvUPRvXTN/R+5mb37/JzYdvQa9+Z81Lj6Nv4TH7m2Mdx5t78LIiIjoTpMnT0Z0dDSkUikAIDo6Ghs2bMDs2bNx6tQphISEYP78+XjmmWdcHCkRERER1TUtAjzRxEeNMzcrn5HurVbUQETlc2gSfezYsY7szuqJJ57A+vXrMXfuXHh4eJTan5ubi82bN+Opp55yyvnvNGvWrBKPIyIisHbtWgDAl19+ic8//xyvvvqqU2OYPn16iXPk5uaiSZMmTj0nkT2eW3POrva+XmonRVLSrjNpWPDzWeTpjGjgroBaIUWhwYzzN/Ow4OezAMBEuhO9+f2fWH/kCixi0aIcggCIIqA3W7D+yBUAYCKdiMgOZZVNdCQvL69SJQuHDx+O4cOHO/W8RERERHR3UCtsqwqgVjh33FuZOlG7YM6cOYiIiEDXrl2xYcMGXLt2DUajEdeuXcP69evRvXt3dO7c2eUzsydNmgQA2L9/f6VtNRpNuTPNi0uz3L7g6J2USiW8vLxK/BBRxUwmC2L3JyNPZ0RTHzU8VXLIJBJ4quRo6qNGns6INQeSYTJZKu+M7FZQYMSmo9dgEQGZAMikAqQSATKpAJkAWERg0+/XUFBgw31cREQEAJg3bx7c3NysP++88w4AlNh25z4iIiIiotoiS2tbDsDWds5S7Znoc+fORXR0dIkFMG/evInU1FR06NChVPuNGzdi48aN+O6772w+h5ubG4CieuplzTYXRRHnzp2DWl1yJqsgCDCZTDafp7r8/PwAAFqtttK24eHhOHjwIFJTU0vVRS+uhV5cG52ovmtV+gYTpzh2NQvJGVo0cFdAIin5HaJEIkEDdwUupWtx7GoWuoY1qJmg7iL/PXARerMFEhQtInI7iUSAxCxCb7Lgvwcu4pX7WrkmSCKiOqRp06ZOn4le7NixY1izZg2OHz+OnJwcaDQadOrUCWPHjkXnzp1rJAYiIiIiqn/ydGaHtnOWaifRZ8+ejdmzZ5dIon/66aeYO3cuzObSF3f27Fls3brVrnP06dOnxj4gVMfhw4cBAKGhoZW2jYqKwsGDB7Fjx45Si6zGxcVZ2xDVRedTM+xqv25KPydFUlKG1gCj2QK1QlrmfrVCikytARlaQ43Ec7e5lqkDUFTCpSyCAED8px0REVUsOTm5Rs7z+uuvY+nSpbBYSt6ptW/fPixfvhyvvvoq3nvvvRqJhYiIiIjqlzsn2VW3nbO4dllTGyUkJLg6BKuzZ8+iadOm1tnxt2+fNm0aAODJJ5+0bs/JycGNGzeg0WgQFBRk3T5+/HgsXrwY77zzDh555BFr6ZYTJ05g/fr1aN26NXr37l0DV0TkeAM+OGRX+5qqh97AXQG5VIJCgxmeqtLVrAoNZsilRTPSyfEa+6oAFNVAL0vx9uJ2lTEYzNhxNhWpOXo01CgxoFVDKMr5goSIiKpm2bJlWLJkCVq2bIm33noLffr0QWBgINLS0rBnzx7Mnz8fS5YsQWhoKJ5//nlXh0tEREREdY1o4wxzW9s5SZ1IotcmGzZswPvvv4++ffsiJCQE7u7uOH/+PH766ScYjUZMnz69xKz877//HuPHj8fYsWMRGxtr3X7PPfdg9uzZeOutt9CxY0cMGzYMeXl52LBhAwDg888/L1Vugqg+CvOsuXN1buKD0AbuOH8zD+4KaYnfMYvFggytAS0DPdG5iU/NBeVEFouIlOxCaA0muCtkaOStduk3t8/2bI5P4y9Bb7bAYhFLxGKxiLAAUMokeLZn80r7+vJgMlbuvYRbeTqYRRFSQcD/eZ7H033CMLpHqPMugojoLvPJJ5+gSZMmOHLkCDw9//lHu2nTphg1ahQeeughtG/fHsuWLWMSnYiIiIjsptWXM9Ouiu2cpc4k0S0WS6mk8sGDB/HDDz9ApVJh/PjxaNy4sdPjiImJwZkzZ3D8+HHs3bsXBQUF8PPzw5AhQ/D8889jwIABNvf15ptvIjQ0FB988AE+/fRTKBQK9OnTB/PmzWNtSaqzNp38y672G1+Idk4gZZDJJBjXKxQLfj6LK1mFaOCugFohRaHBjAytAV4qOcb2DIVMVve/wLpwMw9xp9Jw8VY+dCYzVDIpmvt7YGC7QLQIqMFvLm7j5ibHY/c2xvojV2ASAYlZhCAUzUC3AJAIwGNdGsPNTV5hP18eTMb/xZ2D3mSGm0IGpUyA3iQiNbcQ/xd3DgCYSCcicpBLly5h8uTJJRLot9NoNBg2bBg+++yzGo6MiIiIiOoDrY0TzG1t5yx1Ion+73//G59++ilSU1Ph7e0NANi0aRNGjhxprc348ccf49ixY05PpEdFRdlVq3zcuHEYN25cufufeuqpMhdLJaqrXlt/ya72Ad7uToqkbP1bBwIAYvcnIzlDi0ytAXKpBC0DPTG2Z6h1f1124WYeVu9PRqbWgCCNCm4KNQoMJpy6noPrOYUY3yvUZYn0dx5tDwDYdPQa9GYL8PcXyUqZBI91aWzdXx6DwYyVey9BbzLD101u/XLVTQGoZAIyC4z4Yt8lPN6lCUu7EBE5QEBAgE3tAgPr/r+fRERERETlqRNJ9Pj4ePTr18+aQAeAt99+GxqNBh9++CFSU1Mxffp0LF68GB988IHL4iQi++06k1bjiev+rQMRFe6PY1ezkKE1oIG7Ap2b+NSLGegWi4i4U2nI1BoQHuBhXZTZUyWHh1KGxJv52HE6Dc38PFxW2uWdR9vjzYGt8N8DF3EtU4fGvio827N5pTPQAWDH2VTcytPBTSErdXeSRCKBm0KGm7k67Dibigc7NHLWJRAR3TWeeOIJrF+/HnPnzoWHh0ep/bm5udi8eTMnhRARERFRveaQJPqpU6fwzTfflHgMAN9++y3EO1aQK95nj6tXr5aY/X3p0iWcPXsWs2bNwqhRowAAe/fuxfbt26sSPhG50JoDyYgK96/xBLZMJkHXsAY1es6akJJdiIu38hGkUVkT6MUEQUCQRoULN/ORkl2IJr5u5fTifG5ucrxyXyu7j0vN0cMsilDKyv4CQCkTUGAQkZqjr26IREQEYM6cOThz5gy6du2Kt99+G71797YuLLp3715rGcI5c+a4OlQiIiIiIqdxSBJ98+bN2Lx5s/VxceJ85MiRpdqKolgqsVMZrVYLd/d/Sj7s3r0bgiBg8ODB1m1t2rTBrl277A2diBxox9mLdrVv7qfGpXQtjl3NqpcJbVfQGkzQmcxwU6jL3K9WSJGWq4PWYKrhyByjoUYJqVBUA91NUXq/3lS0yGhDjbLmgyMiqofc3Iq+cBVFsczZ5qIo4ty5c1CrS/67IwgCTKa6+W8NEREREdGdqp1EnzVrliPiqFBwcDDOnTtnfbx9+3Z4eHigS5cu1m25ublQKpk0IXKlZ2PP2tXe212JlKxCZGgNToro7uOukEElk6LAYIKnqnR5lEKDGUqZFO6KOlHNq5QBrRri/zzPIzW3ECqZUKKki8ViQYHBhCCNGgNaNXRhlERENa9Zs2YYPHgwli9f7tB++/TpY/cEGCIiIiKi+qZOJNGjoqKwfv16LFu2DCqVCt999x2GDh0KqfSfReMuXrzo9EVFicixCg1myKUSNHAvY0oxVUkjbzWa+3vg1PUceChlJRIfoijiRo4O7Rtp0Mi77JnqtZ1CIcXTfcLwf3HnkFlghJtCBqWsaGZ6gcEElUyKib3DuKgoEd110tPT4eXl5fB+ExISHN4nEREREVFdUyemIr755pvYsmULXn75ZYiiCHd3d8yePdu6Py8vD3v27MG4ceNcFiPR3e5CWqZd7Zs1kCNDa0DLQE90buLjpKjuPhKJgIHtAnE9pxCJN4tqo6sVUhQazLiRo4OvuwID2ga6bFFRRxjdIxQAsHLvJdzK06HAUFTCJUijxsTeYdb9RER3kw4dOuD8+fOuDoOIiIiIqF6qE0n0Fi1a4K+//rLWXX/ooYcQEhJi3Z+YmIhJkybhySefdFWIRHe9+5YetKu91iiBl0qOsT1Da3xR0fquRYAnxvcKRdypNFy8lY+0XB2UMinaN9JgQNtAtAjwdHWI1Ta6Ryge79IEO86mIjVHj4YaJQa0amjzDHSDwVzlY4mIaqNp06Zh2LBhiI+PR0xMjEP7tlgsJcpnAcDBgwfxww8/QKVSYfz48bwjlIiIiIjqtTqRRAeAoKAgvPjii2Xu69y5Mzp37lzDERFRdbQM9MTYnqHo3zrQ1aHUSy0CPNEs2gMp2YXQGkxwV8jQyFtdp2eg30mhkOLBDo3sPu7Lg8nWWexmsWgW+/95nsfTfTiLnYjqrqysLAwYMAADBgzA0KFDERkZicDAwDLrmY8ZM8bmfv/973/j008/RWpqKry9vQEAmzZtwsiRI2GxWAAAH3/8MY4dO8ZEOhERERHVW4IoiqKrg6Dqy83NhUajQU5OjlPqYRJVJvQ/P9rV/sL8wZyBTjXuy4PJ+L+4c9CbzKXqqStlUrw+sCUT6URUIxw9dpNIJBAEAXcO7e9cG0MQBJjNZpv7jYiIQHBwMH766SfrtjZt2iAtLQ0ffvghUlNTMX36dLzwwgv44IMPqn0d9jhx4gS++eYb/P777zh27BjS09MRFRVV5Truv/32G2bNmoUDBw7AaDSiffv2ePXVVzFixAi7++LYnIiIiMg29uSTkhc+4PDz2zpuq5Uz0efOnQtBEPDCCy/A19cXc+fOtek4QRAwc+ZMJ0dHRHfacPyUfe0ndWQCnWqcwWDGyr2XoDeZ4esmt5YmcFMAKpmAzAIjvth3CY93acLSLkRU56xevdop/V69ehVRUVHWx5cuXcLZs2cxa9YsjBo1CgCwd+9ebN++3Snnr8iWLVuwYMECKBQK3HPPPUhPT69yX/Hx8Rg4cCBUKhVGjhwJT09PbN68GY8//jiuXr2KqVOnOjByIiIiIqpramUSffbs2RAEAY8//jh8fX1LLCJaESbRiVzjPxsv29W+exhv96aat+NsKm7l6eCmkJWq7SuRSOCmkOFmrg47zqZWqUwMEZErjR071in9arVauLu7Wx/v3r0bgiBg8ODB1m1t2rTBrl27nHL+igwfPhwPP/ww2rdvj4yMDAQFBVWpH5PJhGeeeQYSiQR79uxBREQEAODtt99G165dMWPGDDz22GMl1mQiIiIiortLrUyix8fHAwCaNm1a4jEREVFVpeboYRZFKGVl14VXygQUGESk5uhrODIiotorODgY586dsz7evn07PDw80KVLF+u23NxcKJXKGo+tbdu2Dunn119/xcWLFzF+/HhrAh0ANBoNZsyYgXHjxmHNmjV4++23HXI+IiIiIqp7HJJE37NnD3JycjBo0CDI5fIy2xgMBsTFxcHb2xt9+vSpsL/bbxkt6zER1R5/XEuzq31orfzqju4GDTVKSIWiGuhuitL79aaiRUYbamo+EURE5Cjff/891q9fj7Nnz6KgoAAXLlwAAJw9exb/+9//8NRTT6FRI9vvtomKisL69euxbNkyqFQqfPfddxg6dCik0n/KXl28eLFOLypaXEN9wIABpfYNHDgQQNEMfCIiIiJyPAGALQt2lj0druZUuyjxmTNn0L9/f2zdurXcBDoAKBQKbNu2Df379y8xm4WI6raHlx21q/3//nOfkyIhqtiAVg3h76lCgcEEi8VSYp/FYkGBwYQALxUGtGroogiJiKrOYrHg8ccfx2OPPYbNmzcjKSkJly5dsu738fHBm2++ibVr19rV75tvvgm1Wo2XX34Zzz77LJRKZYlSi3l5edizZw969erlqEupcYmJiQCA8PDwUvsaNmwIDw8Pa5vy6PV65ObmlvghIiIiosrZkkC3p52zVDuJ/vnnn0Mmk+Gdd96ptO28efMgk8mwYsWKCttduXKlyj9EVLt5eXCWL7mGQiHF033CoJRJkVlgRIHBDLPFggKDGZkFRqhkUkzsHcZFRYmoTlq6dCm+/fZbTJo0CVlZWXjttddK7A8MDESfPn3w448/2tVvixYt8Ndff+HDDz/ERx99hFOnTqFNmzbW/YmJiZg0aRLGjx/vkOtwhZycHABF5VvK4uXlZW1TngULFkCj0Vh/mjRp4vA4iYiIiMh1ql1Y4ddff0V0dDQCAwMrbRsYGIjo6OhKFx4KDQ2FINg/SV8QBJhMJruPIyKiu8PoHqEAgJV7L+FWng4FhqISLkEaNSb2DrPuJyKqa2JjYxEZGYlPPvkEAMocS7do0cLuJDoABAUF4cUXXyxzX+fOndG5c2e7+yw2depU6PW2r0Xx8ssvlzlj3NWmT5+OV1991fo4NzeXiXQiIiKieqTaSfSkpCTcd5/t5RnatGmDvXv3VthmzJgxpQb+SUlJ2Lt3L7y9vREREYHAwECkpaXhxIkTyM7ORp8+fdCsWbMqXQMRVc1Pf1V8a/OdZj4a5KRIiGw3ukcoHu/SBDvOpiI1R4+GGiUGtGrIGehEVKdduHABL7zwQoVtGjRogIyMjBqKyDYrVqyAVqu1uf1jjz3m8CR68Qz08mab5+bmwsfHp8I+lEqlSxZXJSIiIqKaUe0kusFggEJRxgpt5VAoFJXOFo+NjS3x+PTp0+jVqxdmzJiB6dOnw93d3bpPq9XinXfewaeffopPP/3UrtiJqHqeX3vervYTu1V9phqRIykUUjzYwfaF9YiIaju1Wl1pyZHLly/D2wri9wIAAIIhSURBVNu7wjZz586FIAh44YUX4Ovri7lz59p0fkEQMHPmTFvDtcrPz7f7GEcrTsonJiaiS5cuJfalpqYiPz8fXbt2dUVoRERERFRLVDuJ7u/vj6SkJJvbX7p0CX5+fnad44033kDXrl0xf/78Uvvc3d3x7rvv4rfffsO0adOwbds2u/omIiIiIqrrOnXqhLi4OOh0OqhUqlL7MzMzsX37dvTt27fCfmbPng1BEPD444/D19e3xCKiFalqEr02iIqKwoIFC7Bjxw6MHDmyxL64uDhrGyIiIiK6e1U7iR4ZGYlffvkF+fn58PDwqLBtfn4+duzYgejoaLvOsX///nLrMBbr2rUrli9fble/RFR1N7Ntv/UaALycFAcREREBU6ZMwaOPPophw4ZhxYoVJfZdvHgREyZMQE5ODqZMmVJhP/Hx8QCApk2blnhcHxiNRly8eBFyuRzNmze3bu/fvz+aNWuGdevWYcqUKYiIiABQVN7l3XffhUKhwJgxY1wUNRERERHVBtVOoo8aNQpbtmzBiy++WKoMy51eeuklZGdnY9SoUXadw2Kx4MKFCxW2SUxMhCiKdvVLRFU3+osDdrXfMY0zuIiIiJzlkUcewbRp07Bo0SKEhIRYyx8GBAQgIyMDoihi5syZ6NevX4X93DnjujbPwD579iwWLlwIACgsLLRuGzdunLXN7Z9PUlJS0Lp1a4SEhCA5Odm6XSaTYeXKlRg4cCD69u2LkSNHwtPTE5s3b8bly5exePFihIaG1sAVEREREVFtVe0k+r/+9S/ExMTgyy+/xJUrV/DWW2+hd+/e1jrpRqMRe/bswbvvvouEhAT069cPjz76qF3n6Nu3LzZv3owNGzaUusUSANavX4/vvvsOgwcPru7lEJGNzt0y2NW+oU/Fd6oQERFR9SxYsAD9+vXDsmXLcPjwYeh0OlgsFgwaNAhTpkzBwIEDXR2iQ6WmpmLNmjUltqWlpZXYVtkkn2IxMTHYt28fZs2ahY0bN8JoNKJ9+/ZYtGgRHn/8cUeGTURERER1kCA6YPp2VlYWhg4dir1790IQBMhkMmvd84yMDBiNRoiiiD59+mDr1q2VLmh0p7/++gs9evRAfn4+OnTogN69eyMgIAA3b97Evn378Mcff8DT0xMHDhxAmzZtqns5dVJubi40Gg1ycnLg5cXCGeR8of/50fa2PgokTLvfidEQERHVLbV17HblypUqH1tcAoZq7+tLREREVNvYk19KXviAw89v67it2jPRAcDHxwe//vor1q5diy+++AK//fYbbty4AQCQy+Xo2bMnJk6ciNGjR0Mqldrdf5s2bax10ffs2YOTJ0+W2N+3b18sX778rk2gE9W0Uyk37Wq/4dkeToqEiIiIHCk0NBSCINh9nCAIMJlMToiIiIiIiMj1HJJEBwCpVIrx48dj/PjxMJvNyMjIAAA0aNCgSonzO7Vr1w4JCQm4evUqTp48iZycHGg0GnTs2BFNmjSpdv9EZLsHP/7NrvYs5UJERORczZs3R79+/RAdHY3o6Gg0atSoSv2MGTOmVBI9KSkJe/fuhbe3NyIiIhAYGIi0tDScOHEC2dnZ6NOnD5o1a+aIyyAiIiIiqpUclkS/nVQqRUBAgDO6RpMmTZg0JyIiqmEWi4iU7EJoDSa4K2Ro5K2GRGL/bFUigO8nZzCbzfjiiy+watUqAEVJ9ZiYGMTExCA6OhoNGza0qZ87a4ifPn0avXr1wowZMzB9+nTrgqUAoNVq8c477+DTTz/Fp59+6rBrISIiIiKqbRxSE72YKIqIj4/HwYMHreVcgoKC0KNHD8TExFTp1lCyDesuUk05dOkaRq44WXnDv4XJgPj5jq9ZRUQ158LNPMSdSsPFW/nQmcxQyaRo7u+Bge0C0SLA09XhUR3D91MRZ4zdkpOTER8fj19//RUJCQlISUkBUFRq5Z577rEm1EeMGGFznw888ACMRiN27NhRbpv7778fKpUK27Ztq/Y11BccmxMRERHZ5q6qiQ4AP//8M1566SVcunQJQFFCHYA1cd6sWTN8/PHHGDRoUKV9DRo0CPPmzUNkZKTdcWi1Wnz88cfw9PTECy+8YPfxRFQxexLoALBtOhcUJapL7pwhXGg0Yc2By8jUGhCkUcFNoUaBwYRT13NwPacQ43uF3lWJT6qeCzfzsHp/Mt9PThIaGmotrwgAFy5cQEJCAuLj47Fjxw6sWLEC//3vf+1KohevS1SRrl27Yvny5dWKnYiIiIjuTjIAtqys45RyKnZwyPlXrVqFZ599FhaLBd26dUP//v2tJVeuXr2KXbt24fDhw3jwwQexcuVKjBs3rsL+bt26he7du6Nv374YM2YM/vWvf0Gj0VR4zKFDh/DVV19hw4YNKCwsxJo1axxxaURUTR7uCleHQEQ2unOGsFIqQXq+AQDQqam39YtxT5UcHkoZEm/mY8fpNDTz82ApDqqUxSIi7lQaMrUGhAd48P3kZFqtFhcuXEBiYiLOnTuHrKwsiKJYohyLLSwWCy5cuFBhm8TERDjw5lYiIiIiuos00khxOcdsUztXqnYS/cKFC5g8eTJ8fX2xbt063HfffaXazJ8/H7t27cKTTz6J5557Dn369EHz5s3L7fP333/HmjVrMGfOHEycOBHPPPMMWrZsiS5duiAwMBDe3t7Q6XTIzMzEuXPncPToUeTl5UEqlWLkyJGYP38+mjZtWt1LI6JqCrLvczoRuVBZM4Rv5upw8VY+PFUyZBUY4Xvbl2KCICBIo8KFm/lIyS5EE183F0ZPdUFKdiEu3spHkEZVqsQf30/Vp9PpsH//fms5l99//x1GoxFqtRo9e/bE3LlzERMTY/ednn379sXmzZuxYcMGjBw5stT+9evX47vvvsPgwYMddSlEREREdBdxVymBnALb2rlQtZPoS5cuhcViwbZt29CtW7dy2/Xv3x/btm1Dz549sXTpUixbtqzCfseOHYsxY8bgp59+wurVq5GQkICvvvqqVDuJRIIOHTrg0UcfxdNPP42goKDqXhIRlePQpWt2td/8Ql8nRUJEjlTeDGG5TAK1QgKTWcTFW/nwcfMpkfxUK6RIy9VBa7Dl5ju622kNJuhMZrgp1GXu5/upenx8fGAwGKBQKNCtWzfMmDEDMTEx6N69OxSKqt8V9t5772Hv3r146qmnsGjRIvTu3RsBAQG4efMm9u3bhz/++AOenp5YtGiRA6+GiIiIiO4WFhvvaLS1nbNUO4m+c+dO9O/fv8IEerGuXbvivvvuwy+//GJT34Ig4IEHHsADDxQVjT9z5gyuXbuGjIwMqNVq+Pv7o23btpWWeiEix7C3HnqwL+vaEtUF5c0QVkglkEulkAhAptaAPJ0JXmq5dX+hwQylTAp3haur01Fd4K6QQSWTosBggqdKXmo/30/Vo9frAQDdunXDkCFD0K9fP3Tp0qXUrH97tWnTxloXfc+ePTh5suRYoG/fvli+fDnatGlTrfMQERER0d1JKrGtTIut7Zyl2p9Srl27hkcffdTm9hEREdi7d2+VztW6dWu0bt26SscSERFR2cqbIeypksHXTYG03EIIggCD2WLdJ4oibuTo0L6RBo28y55ZTHS7Rt5qNPf3wKnrOfBQykokd/l+qr7vv/8e8fHxiI+Px/Tp0wEAXl5e6Nu3L/r164d+/fqhffv2Veq7Xbt2SEhIwNWrV3Hy5Mn/b+/O46Kq3j+Af+7MMAww7LuIIOCWolbuG6Iplua+ZSmaS2oupZVpJdqm+VV/+k0rNUPNJSv9mmnmhoi7llq5pSi4K4iyMzDL+f1BTI4wOCgwIJ/368Wr5txn7n3m3gHPPHPuOUhLS4OzszMaNWpkXAeJiIiIiOhRuNhbVp62NK6sPPbR5XI5dDrLb7vV6XSQy637zQERlZxGU7Lb6+e+VLOMMiGi0mZuhLAkSQj2ckBKVi4yNDrk6fTQGQzIydPjZpoGbg5KdK7vzUUgySIymYSIBt64kZaDC0n5dz7YKeV8P5WSHj16oEePHgCAlJQUY0F97969+PnnnyFJEtzd3REeHo7169c/0jH8/f1ZNCciIiKiUuXpZNlc55bGlZXHLqLXrFkThw4dsjj+0KFDCAwMfNzDElE5W3/8Soni+zbibd1ElUVxI4Rd7ZXwclLByxHQ6QUS72TBViFHqJ8zOtf3RoiXdadtMhgErqfmICtPBwelAn4udizCVmAhXo4Y1joQ20/dxsXkTNxO11So99OTwt3dHX379kXfvn1x48YNrFu3DnPmzEFycjJ+/PFHa6dHRERERPQvoS/duDLy2EX0Ll26YO7cudiyZQu6detWbOzWrVtx6NAhvP322497WKu5fv06fvjhB/zyyy84d+4cbt26BTc3N7Ru3RrvvPOORXPDA0BsbCzCw8PNbo+OjsbQoUNLKWuix3fhZrq1UyCiMvKwEcI13OwR2TIQdkp5hSpWxydlGIuxGp0eKoUcwZ5qRDRgMbYiC/FyRFB7Nb/8KCPJycnGUeh79uzBhQsXAORPmePr61ts/xPI79t/9NFHaNq0aYmPnZWVhc8//xyOjo54/fXXHyl/IiIiIqpajsTfLdW4svLYRfRJkybhyy+/xMCBA/H5559j6NChhRYwEkJg5cqVGD9+PNRqNd58883HPazVfP755/jss88QHByMzp07w9PTExcuXMCmTZuwadMmrF27FgMGDLB4f2FhYWjfvn2h9saNG5de0kSlYPWx69ZOgYjKUGUbIRyflIHoA4m4m5UHX2cV7JV2yM7T4dSNNNxIy8Gw1oEVLmf6l0wmwd/N3tppPFEmTJiAPXv24MyZMwDy+99eXl7o168fwsPDER4ejtq1az90P8nJyWjRogXatWuHIUOGoHfv3nB2di72OYcPH8bq1avx3XffIScnBytXriyV10RERERET747OYaHB5Ugrqw8dhHd29sb3333Hfr06YMRI0YgKioK7du3N86XePXqVcTGxuL69euwsbHBhg0b4OPj89iJW0uzZs0QGxuLsLAwk/Z9+/ahY8eOGDNmDHr27AlbW8vm6Wnfvj1mzJhRBpkSlZ4tp8+XKH7R4FpllAkRlaXKMkLYYBDYfuo27mbloZaX2vjlvaPKBmpbBS4kZWLH6dsI8lBXuNyJysqiRYvg7u6OXr16GYvmTz1V8qnVfv/9d6xcuRIzZ87E8OHDMXLkSNSpUwfPPvssvL294eLiAo1Gg7t37+Lvv//Gb7/9hoyMDMjlcgwcOBAff/wxatSoUQavkIiIiIieRAYLa+OWxpWVUlnW9IUXXsD+/fsxceJEHDx4EKtXry4U06pVKyxcuBDPPvtsaRzSanr37l1ke9u2bREeHo4dO3bgr7/+QpMmTco5M6KyM+7bCyWK71b/4SPdiKhiqgwjhK+n5uBicv60Mw/e/SZJEnydVYhPysT11JwK/1qISsvJkyfRsGHDUtlXZGQkhgwZgl9++QXR0dGIjY0tsn8vk8nQsGFD9OrVCyNGjICvr2+pHJ+IiIiIqg6VHMiyYLpzlbzscylOqRTRAeDZZ5/F/v37ER8fj4MHD+LWrVsAAB8fH7Rq1QohISGldagKy8bGBgCgUFh+Wi9cuIAFCxYgJycH1atXR4cOHeDn51dWKRKVOUcba2dARE+6rDwdNDo97JV2RW63U8pxO12DrDxdOWdGZD2lVUAvIEkSunbtiq5duwIAzp49i2vXriElJQV2dnbw9PRE/fr1HzrVCxERERFRcQLdVTidpLEozppKrYheICQkpMwL5itXrsTKlSsRExNTpscpiStXrmDXrl3w9fVFaGioxc9bu3Yt1q5da3ysUCgwfvx4/Oc//4Fcbv4rltzcXOTm5hofp6dz0UeqGCZH1LF2CkT0hHNQKqBSyJGdp4OjqvA3dzl5etgq5HBQlno3h6jCS0xMxJo1a3Dy5Emkp6fDyckJTz/9NAYNGoTAwMBH3m+9evVQr1690kuUiIiIiAhAwxruOJ308HX4GtZwL4dszJOV9QF0Oh1OnDiBEydOQKvVlso+ExMTsXfv3lLZV2nQarUYPHgwcnNz8dlnnxVb/C7g6emJ2bNn49SpU8jMzMTt27exadMmhISE4P/+7//wzjvvFPv8WbNmwdnZ2fhTMAc9UWnLzi7Z7+2gZjXLKBMionx+LnYI9lTjZpoGQgiTbUII3EzTIMRLDT+XokeqEz2pFi5ciDp16mD69OnYsGEDdu7ciQ0bNuD9999HnTp1sHDhQmunSERERERkok0dj1KNKyuPXURPSEjAN998g/PnCy88uGXLFvj5+aFJkyZo0qQJfH198f333z/uISsUg8GAoUOHIi4uDiNHjsTgwYMtel79+vUxZcoU1K9fHw4ODvDy8kKPHj2wZ88eeHp64r///S+SkpLMPn/q1KlIS0sz/ly9erW0XhKRiUWxZy2OdbOTQ6m08iRVRPTEk8kkRDTwhpuDEheSMpGh0UJnMCBDo8WFpEy4OSjRub43FxWlKmXLli1488034ezsjI8//hgHDx5EQkICDh06hE8//RTOzs6YNGkStm7dau1UiYiIiIiMktLySjWurDx2EX3ZsmUYOXIkbG1tTdrj4+PRv39/JCcno0aNGqhXrx7u3buHl19+GSdOnHjcw1YIBoMBr776KtauXYtXXnkFX3311WPv08fHBz169IBOp8ORI0fMxtna2sLJycnkh6gsbDuVbHFsqL9L2SVCRHSfEC9HDGsdiAbVnJGarUXinSykZmsR6ueMYa0DEeLlaO0UicrV/Pnz4ebmhuPHj2Pq1Klo0aIFAgIC0Lx5c7z77rv4/fff4erqivnz51s7VSIiIiIio+TMh8+HXpK4svLYk4Xu378fjRs3RkBAgEn7woULodFo8Prrr+Pzzz8HAGzatAm9e/fGokWLsHz58sc9tFUZDAYMGzYMq1atwksvvYQVK1ZAJiud2XE8PPJvT8jKyiqV/RE9jlvpuQ8P+sf/9W1UhpkQEZkK8XJEUHs1rqfmICtPBwelAn4udo88Al2nM+D41XtIycqDu4MSz/i7QqEo85nviErF8ePH8fLLL6N69epFbvf390f//v1N1uIhIiIiIrI2nU48PKgEcWXlsYvoCQkJ6NatW6H2X3/9FUqlEp9++qmxrWfPnmjbti327dv3WMfs2bPnYy2M9LjuL6APGDAA3377rUXzoFuqYAS6NV8jEQAYDALCYPkfKTcnzj9MROVLJpPg72b/2PvZffY2VhxIRGJKFrR6A2zkMgS6O2Bo60B0rOddCpkSla28vDw4ODgUG6NWq5GXZ93bYImIiIiI7peea1n/1NK4svLYw6uSk5ONI6cL3L17FxcvXkTz5s3h6Gh6O/XTTz+N69cfvuJqcRo1aoTIyMjH2sejKpjCZdWqVejXrx9Wr15dbAH9zp07OHfuHO7cuWPS/vvvvxcZv3DhQuzZswe1atVC06ZNSzV3opK6npoDFzvL/kx0D7XuAg9ERI9q99nbmLXtHM4nZcBRpYCfqx0cVQqcT8rArG3nsPvsbWunSPRQtWvXxs8//wydTlfkdp1Ohy1btqB27drlnBkRERERUXEsLU9b9y7hxx6JbmNjg5SUFJO2ggJxkyZNCsU/bIRMRffhhx9i5cqVUKvVqF27Nj7++ONCMT179kTjxo0BAIsWLcLMmTMRFRWFGTNmGGP69OkDGxsbNGnSBNWrV0dWVhYOHz6MEydOwMXF5aHFeaLykJWnQ30/Z9w6f++hsR/3aFz2CRERlTKdzoAVBxKRodGihqudcWo2R5UMDko5rtzLwcqDiQir5cmpXahCGzJkCN566y1ERERgzpw5ePbZZ43bfvvtN0ydOhV///035s6da8UsiYiIiIhMBXtZViu2NK6sPHYRvXbt2ti9e7dJ244dOyBJElq1alUo/saNG/D19X3cw1pNYmIiACAzMxOffPJJkTGBgYHGIro5Y8aMwfbt2xEXF4eUlBTIZDIEBATgjTfewOTJk83OZ0lUnhyUCjg72KOaczZupJmfG715oCuc1LZmtxMRVVTHr95DYkoW3B2UhdY2kclkcHdQIuFOFo5fvYdmNd2tlCXRw02cOBFxcXHYvHkzmjVrBnt7e3h5eSEpKQnZ2dkQQqBHjx6YOHHiYx1n5cqVWLlyJWJiYkopcyIiIiKqyjzsLasnWRpXVh67iN6nTx+8//77GD16NMaOHYvz589j6dKlUKvV6NKlS6H4AwcOICQk5HEPazUrVqzAihUrLI6fMWOGyQj0AlOmTMGUKVNKLzGiMuDnYodgTzVytHooZKm4cq/wSsiB7nZYN6qlFbIjInp8KVl50OoNsFMWffeXnVKOu1l5SMniPNJUscnlcmzatAmrVq3CypUrcfLkSVy5cgVOTk5o3rw5IiMjMXjw4Mc+TmJiIvbu3VsKGRMRERERAckWftayNK6sPHYR/Y033sD69euxdOlSLFu2DAAghMD8+fMLTd3y22+/IT4+Hq+99trjHpaIyoFMJiGigTdupOWgvp8L2gZL+P1KOu5pdJBDoFWQK0Z3qAOZTLJ2qkREj8TdQQkbuQw5eXo4qgpP15KTp4eNPH9EOlFlMGTIEAwZMsTaaRARERERWURhYUnJ0riy8tiTe9rb2+PAgQOYOXMmunTpgpdffhk//fQT3njjjUKxx48fR48ePdC9e/fHPSwRlZMQL0cMax2IBtWckaOXIdjbEa2DPfBKy5oY3aEOQrwcH74TIqIK6hl/VwS6OyAlKw8Gg8Fkm8FgQEpWHmp6OOAZf1crZUhUvEOHDqFDhw5wdHSEk5MTOnXqhKNHj1o7LSIiIiIii9zTmJ8++FHiyspjj0QHALVajQ8++OChcaNGjcKoUaNK45BEVI5CvBwR1F6N66k5yMrTwUGpgJ+LHUegE1Glp1DIMLR1IGZtO4cr93Lg7qCEnVKOnDw9UrLy4KSyQWSrQC4qShXSX3/9hY4dO0Kj+Xe6td27d+PgwYM4evQo6tevb8XsiIiIiIge7sC5OxbHTe5UxskUg58IicgiMpkEfzd71PVxgr+bPQvoRPTE6FjPG1Ofr4vaXo7I0Ohw/V4OMjQ61PF2xLvP10XHet7WTpGoSLNnz4ZGo8F7772HW7du4datW/jggw+Qk5ODzz77rEyO2bNnT3zzzTdlsm8iIiIiqnpuZVg2wtzSuLJSKiPRy1p2djYOHjyIAwcO4Nq1a7hz5w7s7e3h6emJ0NBQhIWFVerFSomIiMi6OtbzRlgtTxy/eg8pWXlwd1DiGX9XjkCnCm3fvn1o06YNPvroI2PbzJkzERsbW2aLfzZq1AiNGjUqk30TERERUdWjVsmBdAvjrKhCF9EPHTqEr776Cj/++CM0Gg2EEEXGSZKEevXqYfTo0RgyZAicnJzKOVMiIiKq7BQKGZrVdLd2GkQWu337NgYOHFiovXnz5jhy5IgVMiIiIiIiKpkmAW44n3TdojhrqpBF9NOnT+Ptt9/G9u3bIZfL0b59e7Rs2RJNmjSBt7c33NzckJOTg7t37+Lvv//G4cOHERMTgwkTJmDmzJn44IMPMHbsWCgUFfLlEVUK2dlaLD14EdfualDdTYVRrYJhb29j7bSIiIjoH1qtFmq1ulC7g4MDtFqtFTIiIiIiIioZbyfbUo0rKxWyytyoUSMEBARg4cKFGDhwIDw8PMzGhoWFGRcr3bt3L5YtW4bJkycjIyMD7733XnmlTPREee9/f+HH364hV28wtn25JwF9m1THJ71CrZgZERERERERERE9KRLvako1rqxUyCL6kiVLEBkZWeKR5GFhYQgLC0NUVBSuXbtWRtkRPdne+99fWHf0Cgwif+VhSQKEAHL1Bqw7egUAWEgnIiKqIFavXo3Dhw+btMXHxwMAXnjhhULxkiRh69at5ZIbEREREdHDuNhbVv+1NK6sVMgi+vDhwx/r+bVq1UKtWrVKKRuiqiM7W4sff7sGgwAUEiCTScZtBoOATgA//n4N70XU5dQuREREFUB8fLyxaP6gX3/9tVCbJElFRBIRERERWUf9as6lGldWKmQRnYisY+nBi8jVGyCDaQEd/zyW6QVydQYsPXgRbzxX1zpJEhEREQAgISHB2ikQERERET2WbK2uVOPKSqUqop84cQLr1q3DuXPnkJ2djV27dgEALl++jCNHjuC5556Dm5t1V2olqsyu/TO/lLlBapIEQPwbR0RERNYTEBBg7RSIiIiIiB7L8UspFscNaRFUxtmYV2mK6O+88w7mzZsHIQQA01tRhRAYNGgQ5s2bh4kTJ1orRaJKr7qbCkD+HOhFKWgviCMiIqInW3Z2Ng4ePIgDBw7g2rVruHPnDuzt7eHp6YnQ0FCEhYUhJCTE2mkSERERUSV18lpaqcaVlUpRRI+OjsbcuXPx4osv4pNPPsG6deswe/Zs4/bAwEA0a9YMmzdvZhGd6DGMahWML/ckIFdvgMEgCs2JbgBgq5BhVKtg6yVJREREZe7QoUP46quv8OOPP0Kj0RgHsjxIkiTUq1cPo0ePxpAhQ+Dk5FTOmRIRERFRZZal0ZdqXFmpFEX0L774AvXq1cOGDRugUCigVCoLxdStW9c4vQsRPRp7exv0etoX3/12HToBQJ//gVkGwABAJgF9n63ORUWJiCoxg0HgemoOsvJ0cFAq4OdiV2gdDKq6Tp8+jbfffhvbt2+HXC5H+/bt0bJlSzRp0gTe3t5wc3NDTk4O7t69i7///huHDx9GTEwMJkyYgJkzZ+KDDz7A2LFjoVBUio8ZRERERGRlln4WsfZnlkrRuz1z5gxGjhxZbGfc29sbSUlJ5ZgV0ZPn20OJ2Hc+uVB7wQj0vs9Wxye9Qss/MSIiKhXxSRnYfuo2LiZnQqPTQ6WQI9hTjYgG3gjxcrR2elQBNGrUCAEBAVi4cCEGDhwIDw8Ps7FhYWEYNWoUAGDv3r1YtmwZJk+ejIyMDLz33nvllTIRERERVWI1nFW4nam1KM6aKkURXaFQIC8vr9iYGzduQK1Wl1NGRE+ebw8l4oOfTpvd/k6n2hgexmlciIgqq/ikDEQfSMTdrDz4Oqtgr7RDdp4Op26k4UZaDoa1DmQhnbBkyRJERkaWeCR5WFgYwsLCEBUVhWvXrpVRdkRERET0pPF2UwHXMyyLs6JKUUQPDQ1FTEwM9Ho95HJ5oe3Z2dnYtWsXnn32WStkR1T55eXpiy2gA8B/dv6NwS0DoVQW/h0kIqKKzWAQ2H7qNu5m5aGWl9q4QLujygZqWwUuJGVix+nbCPJQW/02SbKu4cOHP9bza9WqhVq1apVSNlWDEAJ6vR46nc7aqdATzsbGpsjP00RERNYU4OEAoPCsCEXHWU+lKKK/+uqrGDFiBEaPHo1FixaZbEtPT8eIESNw69YtLFy40EoZElVudab/+tAYjU7gfyeuYUDzgHLIiIiIStP11BxcTM6Er7PKWEAvIEkSfJ1ViE/KxPXUHPi72VspS6KqRQiB1NRUJCcnQ6+37kJZVHW4uLjAx8en0L8FRERE1qLXW/ZvkqVxZaXSFNF37dqF5cuXY/369XBxcQEANGvWDGfPnkVWVhaGDh2Kvn37WjdRokoo/vZdCAtj1x69zCI6EVEllJWng0anh73Srsjtdko5bqdrkJXHkbBUtBMnTmDdunU4d+6c8S5QALh8+TKOHDmC5557Dm5ublbOsnK5desWUlNT4eTkBCcnJygUChY2qcwIIZCdnW1cR8zX19fKGREREeVTKWWlGldWKkURHQDWrl2L8PBwLFq0CKdOnYIQAr/99hvq1auHCRMm4LXXXrN2ikSVUtf/O2RxbHYeR0kREVVGDkoFVAo5svN0cFTZFNqek6eHrUIOB2Wl6RpSOXrnnXcwb948CJH/tfv9hV4hBAYNGoR58+Zh4sSJ1kqx0tHr9UhLS4Onp2exi7cSlSY7u/wvUpOSkuDl5cWpXYiIqELwcSp6oM+jxpUV65bwS2jkyJH4448/kJmZiWvXriE9PR2nT59mAZ3oMeSWILahn1OZ5UFERGXHz8UOwZ5q3EzTGAuhBYQQuJmmQYiXGn4uj9cxNRgErt7Nxrlb6bh6NxsGg6X3OlFFFR0djblz56Jbt274888/MXXqVJPtgYGBaNasGTZv3mylDCsnrVYLIQQcHKw7tydVPfb2+VN2abVaK2dCRESUz9/N/qEFatk/cdZUKYYbxcXFITAwEDVq1ACQ/w16wbfoBa5evYqEhAS0a9fOGikSVUqHE66VKD6qW4MyyoSIiMqSTCYhooE3bqTl4EJS/tzodko5cvL0uJmmgZuDEp3rez/WoqLxSRnYfuo2LiZnQqPTQ6WQI9hTjYgG3gjxcizFV0Pl6YsvvkC9evWwYcMGKBQKKJXKQjF169Y1Tu9CJcPpW6i88T1HREQVTa7OAFsbGXK0BrMxtjYy5OrMby8PlWIkenh4OFasWFFszKpVqxAeHl4+CRE9IQYu+aNE8U5q2zLKhIiIylqIlyOGtQ5Eg2rOSM3WIvFOFlKztQj1c8aw1oGPVeiOT8pA9IFEnLqRBhd7GwR5qOFib4NTN9IQfSAR8UkZpfhKqDydOXMGnTp1gkJhfuyNt7e3cZ7l8nTy5ElMmzYNERER8PT0hCRJaN++/SPtKzAwEJIkFfnzqPskIiIiooeTSRIcVQrY2xRdpra3kcFRpYDMyl8EV4qR6A/edlwUg8HAb9WJiIiIihHi5Yig9mpcT81BVp4ODkoF/FzsHmsEusEgsP3UbdzNykMtL7WxP+aosoHaVoELSZnYcfo2gjzUj3Ucsg6FQoG8vLxiY27cuAG1Wl1OGf1r06ZNmDVrFpRKJWrXro07d+481v6cnZ3xxhtvFGoPDAx8rP0SERERkXk1PRzgaGuDdI0OcgkwCEAAkADIJMAAwNHWBjU9rDsNXqUoolviwoULcHZ2tnYaRE8sD5W1MyAiotIgk0mlOp/g9dQcXEzOnyLmwQENkiTB11mF+KRMXE/Nsfo8hlRyoaGhiImJgV6vL3IRwuzsbOzatQvPPvtsuefWr18/dO/eHaGhoUhJSYGvr+9j7c/FxQUzZswoneTIYpIk4fXXX8eiRYusnYpRYmIiatasiejoaAwdOtTa6RARET3R/JztYGsjg1ZvgCQBSpmEgjK6Xgho9QaolDL4OVt3YdEKW0R/9dVXTR5v2rQJiYmJheL0ej2uXr2KuLg4PP/88+WUHVHld+p6yW673jS+bRllQkRElVlWng4anR72yqI7tXZKOW6na5CVpyvnzKg0vPrqqxgxYgRGjx5dqMiZnp6OESNG4NatW1i4cGG551a/fv1yPyaVzMWLFzFnzhzs3LkTN27cgFKpRGhoKPr3749Ro0YVWueKiIiIqp7raTnI1RlgI5dBqzNAKwqGogtIAGzkEjRaA66n5SDA3Xqj0StsEf3+OdAlScLJkydx8uTJImMlSULTpk3xf//3f+WTHNEToPvnx0oUX93dqYwyISKiysxBqYBKIUd2ng6OKptC23Py9LBVyOGgfLRup8EgSnX6GSqZV199Fbt27cLy5cuxfv16uLi4AACaNWuGs2fPIisrC0OHDkXfvn2tm2gpyM3NxYoVK3Djxg04OTmhadOmaN68ucXPzc3NNT5OT08vqzQrja1bt6Jfv36wtbXFkCFD0KBBA+Tl5WH//v14++23cfr0aSxdutTaaRYpICAAOTk5sLEp/DeNiIiISlfCnSxkaLSwlcsAIaAziPwaugQoZBJsFXJkaLRIuJPFInpREhISAOTPhx4UFIQ33ngDEydOLBQnl8vh6uoKBwfrzotDVNlYd01jIiJ6Uvi52CHYU41TN9KgtlWYTOkihMDNNA1C/Zzh51LyEafxSRnYfuo2LiZnQqPTQ6WQI9hTjYgG3o+1ECqVzNq1axEeHo5Fixbh1KlTEELgt99+Q7169TBhwgS89tpr1k6xVNy6dQvDhg0zaWvatCnWrVuH4ODgYp87a9YszJw5syzTq1QSEhIwcOBABAQEICYmxmSqnddffx3x8fHYunVrueWTlZVVos+LkiRBpeJchkREROVBCIGcPD10BgMM4p850UX+nOgGAeTp9RBCWLRmZlkqetnTCiAgIAABAQEIDAw0zkVX0Hb/T/Xq1VlAJyqh2AuJJYpfMZy3SxMRUdFkMgkRDbzh5qDEhaRMZGi00BkMyNBocSEpE24OSnSu713i0ePxSRmIPpCIUzfS4GJvgyAPNVzsbXDqRhqiDyQiPimjjF4RFWXkyJH4448/kJmZiWvXriE9PR2nT59+Ygrow4YNw+7du3H79m1kZWXhxIkTGDx4MI4dO4aOHTsiI6P499vUqVORlpZm/Ll69Wo5ZV6YwSBw9W42zt1Kx9W72TAYyv8D55w5c5CZmYnly5cXOVd9SEhIoQFSmzZtQoMGDWBra4v69evj119/Ndl++fJljB07FnXq1IGdnR3c3d3Rr1+/QlN+rlixApIkYe/evRg7diy8vLxQvXp14/bFixcjKCgIdnZ2aNasGfbt24f27dujffv2xpjExERIkmRyd/TQoUOhVqtx/fp19OzZE2q1Gp6ennjrrbeg1+tNckhJScHgwYPh5OQEFxcXREZG4o8//ii0TyIiIsqf/lFvENBoBbR6Adk/I9BlEqDVC+Ro80en2ykLr89TnirsSPT7RUZGWjsFoifK0OWnSxTfvlZg2SRCRERPhBAvRwxrHWgcNX47XQNbhRyhfs7oXL/ko8YNBoHtp27jblYeanmpjaPbHVU2UNsqcCEpEztO30aQh5pTu5SxuLg4BAYGokaNGgAAOzu7QvNYX716FQkJCWjXrl2J9z958mSTaVAeZuLEiahVq1aJj/MwUVFRJo8bN26MVatWAQC+/fZbLFu2DJMmTTL7fFtbW9ja2pZ6XiVVUe7e+PnnnxEUFIRWrVpZFL9//35s3LgRY8eOhaOjI/773/+iT58+uHLlCtzd3QEAx44dw8GDBzFw4EBUr14diYmJ+PLLL9G+fXucOXMG9vamCxePHTsWnp6emD59OrKysgAAX375JcaNG4e2bdvizTffRGJiInr27AlXV1eTQrs5er0eERERaN68OebOnYtdu3Zh3rx5CA4OxpgxYwAABoMBL774Io4ePYoxY8agbt26+Omnn/iZloiIyAx7pRz6f77zL+jZ50/o8u9jvciPs6ZKUUQvoNFocOzYMdy4ccNsZ3vIkCHlnBURERERhXg5Iqi9ulTmL7+emoOLyZnwdVaZTA8D5E+z4OusQnxSJq6n5sDfzd7MXqg0hIeHIyoqCtOnTzcbs2rVKkyfPr3QaFxLLFmyxFjgtETfvn3LpIhuzmuvvYZvv/0WBw4cKLaIXhEU3L1xNysPvs4q2CvtkJ2nw6kbabiRloNhrQPLpZCenp6O69evo0ePHhY/5+zZszhz5oxx2pzw8HA0atQI69atw7hx4wAAXbt2LTT3/osvvoiWLVtiw4YNGDx4sMk2Nzc37N69G3J5/gfuvLw8fPDBB2jatCliYmKgUOR/FG7YsCGGDh1qURFdo9FgwIAB+OCDDwAAo0ePxjPPPIPly5cbi+ibNm3CoUOHsGDBAuNo+zFjxqBTp04Wnw8iIqKq5MrdbEgQkMsAvQHQ3Tf/sARALgMkCFy5m42G1V2tlmelKaIvXrwYH3zwAdLS0orcLoSAJEksohMRERFZiUwmlUpROytPB41OD3tl0fOo2ynluJ2uQVae7rGPRcWzZO5Jg8FQ6MsOS2VmZj7S88qLh4cHAJSo0G8NFenujYJFVR0dLS/YP/fccybzzjds2BBOTk64dOmSse3+OyC0Wi3S09MREhICFxcXHD9+vFARfeTIkcYCOgD89ttvSElJwaxZs4wFdAB4+eWX8eabb1qc6+jRo00et23bFt9++63x8a+//gobGxuMHDnS2CaTyfD6668jJibG4uMQERFVFZIkQSZJgBCQkF84F/h3FDoEIJOkR+5vlpYKOyf6/TZu3Ijx48fD398fc+fOhRACPXr0wKeffoouXbpACIE+ffrgm2++sXaqRBXerXsl+7D6zatPlVEmRERERXNQKqBSyJFtpkiek6eHrUIOB6Vl40EqwhzRT7ILFy7A2dnZ2mmUiSNHjgAAAgMDrZvIQ5Tk7o2y5uTkBAAPnUf+fgXTBd3P1dUV9+7dMz7OycnB9OnT4e/vD1tbW3h4eMDT0xOpqalFDrSqWbOmyePLly8DyJ+P/X4KhcLi66tSqeDp6VlsnpcvX4avr2+h6WUePC4RERHlc3dQQiZJuL+Hfn9vRiC/iO7uoCznzExVipHoCxYsgJeXFw4dOgR7e3tMnjwZjRs3xpQpUzBlyhSsXbsWkZGReP31162dKlGFFxl9tETxHWrXfHgQERFRKfJzsUOwpxqnbqRBbaswKQoKIXAzTYNQP2f4uRQ9Uv1+FWWO6Mrk1VdfNXm8adOmQos3AvnzQ1+9ehVxcXF4/vnnyym7R6fVanHx4kXY2NiYjHo+d+4catSoUajoee7cOUyZMgUAMGjQoHLNtaQq0t0bTk5OqFatGk6dOmXxc+4fMX6/+++EGD9+PKKjo/HGG2+gZcuWcHZ2hiRJGDhwIAwGQ6HnPjh3f2kwlycRERE9Oh8nFWwUMuRo9fhnQLpxJHrBxwClQgYfJ5U106wcRfQ///wT/fv3N+nY3j/n4qBBg7By5Up8+OGHJquql6Vjx44hKioKBw8ehFarRWhoKCZNmoT+/ftbvI/c3Fx89tln+Pbbb3H16lW4ubmhW7du+Pjjj+Hl5VWG2VNVFp9UtiOQdDoDjl5OwbHEu0jL0cLLQYUQHzVCPNSQZBJytHqTeXINBmHx/LkliSUiospLJpMQ0cAbN9JycCEpf3StnVKOnDw9bqZp4OagROf63g/9N6CizBFd2axYscL4/5Ik4eTJkzh58mSRsZIkoWnTpvi///u/8knuPufOncPs2bMB5I9SLmgbOnSoMeb+13L9+nXUq1cPAQEBJl8KfPfdd5g/fz7atWuHgIAAODg44Pz58/jll1+g1WoxderUR1o0tTzdf/eGo8qm0PaS3r3xuLp164alS5fi0KFDaNmyZans88cff0RkZCTmzZtnbNNoNEhNTbXo+QEBAQCA+Ph4hIeHG9t1Oh0SExPRsGHDUskzICAAe/bsQXZ2tsnn1/j4+FLZPxER0ZMmW6uHnY0MGRoJesO/U7oAgEEAcpkEOxsZsrUlX3+nNFWKIrpWqzW5bc7Ozq5QZ6lRo0ZYunRpueSzZ88eREREQKVSYeDAgXB0dMSGDRswYMAAXL16FZMnT37oPgwGA3r06IHt27ejRYsW6NOnDy5cuICvv/4au3fvxuHDhwvdKkhUGqSCyaUs8FYXF4v3azAI/PD7VSzZexFX72ZDe9+AIJkE2NnI4WyngKuDEs52StSv5oTmNd3x960Mi0YHxidl4OcTN7D97C1kaHRwVCkQUc8HLz5djQUQIqInUIiXI4a1DjSOIr+droGtQo5QP2d0rv/wUeSWzhH93Py4Qs9NnN21TF5TZZGQkAAgfxRwUFAQ3njjDeMCifeTy+VwdXWFg4NDeacIALh16xZWrlxp0nb79m2TtvuL6OaEh4fj7NmzOHHiBPbt24fs7Gx4eHjghRdewNixY9G5c+fSTr3UlebdG6XhnXfewZo1azBixAjExMTA29vbZPvFixexZcuWIt9X5sjl8kJz9H/++ecWL2jbpEkTuLu7Y9myZRg2bJhxXvQ1a9aYTMfyuCIiIrBs2TIsW7bM+PoMBgMWL15cascgIiJ6kmRqdDAIQKmQkKsVuH/mRZmU364X+XHWVCmK6NWqVcPNmzeNjwMCAnDixAmTmMuXL5ssEFNWdDodRo4cCZlMhri4ODRu3BgAMH36dDRr1gzTpk1D3759jSMdzFm5ciW2b9+Ol156CWvWrDF2dL/66iuMGTMG77//PpYsWVLWL4eqIGd7G6RkaS2KHde+tUVx8UkZWLwnHtv+ugmNrnCF3iCArDw9svL0uJWWC4UC+ONqKr7/7SpCvNRoVN2l2NGB8UkZGL36OC4mZZrU//++FY+tp2/hq1eeYSGdiOgJFOLliKD26ke6C8mSOaLnbP+7yOcGvru1ShfS7+/HRkdH4+mnn35o39Ya2rdvb9HCpwUCAwOLjA8LC0NYWFhpplbuSuvujdISHByMtWvXYsCAAahXrx6GDBmCBg0aIC8vDwcPHsQPP/xgcseAJbp164Zvv/0Wzs7OeOqpp3Do0CHs2rUL7u7uFj1fqVRixowZGD9+PDp06ID+/fsjMTERK1asQHBwcKktVtazZ080a9YMkydPRnx8POrWrYvNmzfj7t27AGD1RdGIiIgqGgcbBbR6AYNBwE4pR57OACHyB4EqFTLo9Abo9AIONtYtY1eKhUWbNm2K48ePGx936dIFBw4cwKxZs3D69GksWbIEGzduRNOmTcs8l5iYGFy8eBGDBg0yFtABwNnZGdOmTUNeXl6hETFFWbZsGQBg1qxZJh2p1157DUFBQVizZo3xtlSi0hTiYdloseYBLhbFxSdlYPm+BMSeS0JuEQX0BxkA6PVArlaPDI0OCclZyNPpIZdJcFTZoJaXGnez8rDj9G0YDPl/RCd//wfi7yugF/zGCADxSZmY/P0fXCSOiOgJJZNJ8HezR10fJ/i72VtcBPx3juiiO9vfHEgs9vmB724taapPpMjIyFKb5oLKVsHdGw2qOSM1W4vEO1lIzdYi1M/ZKlMXde/eHX/++Sf69u2Ln376Ca+//jreffddJCYmYt68efjvf/9bov0tXLgQQ4YMwZo1azB58mTcvHkTu3btglqttngf48aNw3//+19cuXIFb731Fvbt24fNmzfDxcUFKlXpzLMql8uxdetWDBgwACtXrsR7772HatWqGUeil9ZxiIiInhRZWh0kCTAIgVytATJJgkIuQSZJyNUa8kemS/lx1iSJkgzfsJL//e9/mDZtGrZt24bAwEAkJyejSZMmuHbtGoD8WxSdnZ0RFxeH0NDQMs1l2rRpmDVrFtatW4eBAweabLt16xZ8fX3RoUMH7N692+w+NBoNHBwcUKtWLZw7d67Q9tGjR2PJkiWIi4tD27ZtLcorPT0dzs7OSEtLg5OTU8le1GPIysoyu00ul5t0EouLlclkJov/lCQ2Ozvb7CgkSZJM5iIsSWxOTk6RixQVuP/W5ZLEajSaYm87LUmsvb298UuY3Nxc6HTm/6AUxN5Jy8azH+2AMJjfr2SjxO/TOsLD2R55eXnQaoseuW4wCKw4cgMHLqbgj2v3kKPJg6GYfCWFDSSZPL8IrtdCJvSQJAn1fB3RKsQD0j/l8cxcLTJ1MkyOqAeNRofO/7cHer3OZFEJ4N/FJuQKG+x4oz1qVXOCVqtFXl6e2RxsbW2Nd63odDrk5uaajVUqlbCxsSlxrF6vh0ajMRtrY2MDpVJZ4liDwVDsl2sliVUoFLC1tQWQ/zc0Ozu7VGJL8nvPvxFFx1r7b4QlsXZ2dpDJ8r+HL+5vREljVSqVcdG2ksSW5PeefyOqzt+Ia3ezsSgmHs72Cqht/50jWpLJ8OX+q8bHBq0GEIBMWXRhq6xGpFur7/aoNBoNjh07hhs3bph9rw8ZMqScs6q4HnZ9NRoNEhISULNmzVIvqnINmZIxGAzw9PRE7969jQOdysKmTZvQq1cv7N+/H61bW3a3Z1koy/ceERHRozh1IxWRy48hM1cLg0FAL2BcWVQu5Q+qcbS1wYrhTdGgmkupH9/ifrmopO7evSvmzJkjRo8eLWbNmiWuXbtWLsft27evACB+++23Irer1Wrh7+9f7D5OnTolAIhu3boVuX3u3LkCgFi+fLnZfWg0GpGWlmb8uXr1qgAg0tLSLH8xpeCft3WRPy+88IJJrL29vdnYsLAwk1gPDw+zsU2aNDGJDQgIMBv71FNPmcQ+9dRTZmMDAgJMYps0aWI21sPDwyQ2LCzMbKy9vb1J7AsvvFDsebtfwfvN3E9mZqYxNjIystjYpKQkY6xfqx7FxraattYY+9ZbbxUbO/g/P4ph0UdE7WlbhXPrl4qN9RkyXwRM2SICp2wRru2HFRvbY9pX4uzNNPHe/04Kt06ji4317Bsl3vvfSSGEENHR0cXGfv/998bX9v333xcbGx0dbYzdsmVLsbGLFi0yxu7Zs6fY2Dlz5hhjjx49WmxsVFSUMbbgb4e5n7feessYm5CQUGzs2LFjjbFJSUnFxkZGRhpjMzMzi43t27evyXu4uFj+jcj/qYh/I8aOHVtsbEJCgjH2YX8jTp06ZYyNiooqNvbo0aPG2Dlz5hQbu2fPHmPsokWLio3dsmWLMZZ/I/JV5b8R/rUbiIApW4w/cicvAcCk7f6fspKWliaA8u+7PYpFixYJV1dXIZPJivyRJEnIZDJrp1mhPOz65uTkiDNnzoicnJxyzqxqy8nJEQaDwaSt4N+F1atXl9pxsrOzTR7rdDrRoUMH4eTkVGhbeeN7j4iIKpojl+6IZz/cLmpN2ypCpm0Vtd/bKuq+l//fkGlbRa1pW8WzH24XRy7dKZPjW9ovrxRzohfF1dUVb7/9drkfNy0tDUD+9C1FcXJyMsY8zj7ujyvKrFmzMHPmzIfmS1SUHo398MVB89vXjGxp8b7y9Hp42NlAXoIRTpZE2sjlcFAqkJJh2fztlsYREVHVpjeIyjGfYQWxceNGjB8/HqGhofjggw8wefJk9OzZE82bN0dcXBy2bduGPn36oFu3btZOleihDh8+jDfffBP9+vWDu7s7jh8/juXLl6NBgwbo169fqR1n/PjxyMnJQcuWLZGbm4uNGzfi4MGD+PTTT03umiEiIqL8OdEFJMgkwEYug84gIMQ/i4rKJWj1BgCS1edErxTTuXTo0AFDhw4t9hbR1atX45tvvkFMTEyZ5tK5c2fs3LkTFy5cQEhISKHtfn5+yMzMLLYAfvDgQbRu3Rovv/wyVq9eXWj7smXLMGrUKMyfPx9vvvlmkfvIzc01uZU2PT0d/v7+nM7lAZyqofjYO2nZmPTjH7iVngsfJ1vM79sIHs72Fk+/cO1uNr7afxUu9rbYeeYmrt/NLDbfgulcFDJAr9UCBj0U8vzF3drW8oSjygYCAheTstA40BNjO9TGwt3nsGDHeYhipnORFDZ4o1MtvNmpHqdqqEJTNVgay78RnM6F07mUPPZJ+htxMSkDu84kIeFOFnJ1etjIJWw9l2rczulciteuXTucP38ely5dgr29PWQyGWbMmIHp06cDANauXYvIyEjs3LkT7du3t26yFYg1p3Mh8xITEzFhwgQcPXoUd+/ehZubG1544QXMnj0bXl5epXactWvXYt68eYiPj4dGo0FISAjGjBmDcePGldoxHhXfe0REVNEcTUjBhHUnoNHmf7ZVyGWQkF/v0enzP0erbOT470tPo1lNyxYULwlL++WVYiR6bGzsQzvlly9fxt69e8s8l4LR4+aK5Onp6XB1dX3sfdwfVxRbW1vjB1Zrur+YY63Y+4tapRlbklEiJYktSWe1JLEleU8UxDo4OGDDhOeKjVUqlcaiy4Nq2dkjxDsNp26k4ekAV9zL0SE7T4/ivpmTy/5ZYVmphF4IKOQyeLg6wtnJERqtHjfTNPB2d0aXhtUgk0l4rXUIvtiTAK1cUWgEe8EfVRt5fhyQXyQqKFQ9jEKhMBbLSjNWLpdb/B4uSaxMJiuTWEmSyiQW4N+IR4mtSH8jLFHc34jyii3J7z3/RpQ8trL/jWhY0wENAryNc0Sv3f27SazMhkWk4vz555/o37+/yd/H+7+8GzRoEFauXIkPP/yQRXSq8AIDA7F58+YyP86gQYMwaNCgMj8OERHRk0CtUsDJzgY2chkMBgGNzgCDEPmfLWwVkEkS7JVyqFXWLWM/MXezZmVlWfyh+HHUqlULAHDhwoVC227duoXMzExjjDlBQUGQyWRF7uP+fT9sP0TWJpNJiGjgDTcHJXQGoFWwO9ztbYqfrkUAEmSwUcjhYqdEDTd7uDnY4nJKFlKztQj1c8aw1oEI8XIEANjb26B/U39jwfzBHwlA/yb+sLcv+99/IiKqnGQyCf5u9qjr44RVf5kfKf+gshqFXplotVp4enoaH9vZ2SE1NdUkplGjRjh+/Hg5Z0ZERERETwJHWxvUcLOHvVIOlVIOb0db+Lqo4O1oC5WNHPa2Cvi72cPR1rp1nwo7Ev3KlSsmj1NTUwu1AfkjYa5evYoNGzYgMDCwzPMKCwvDrFmzsGPHDgwcONBk2/bt240xxbGzs0OzZs1w+PBhXL58GQEBAcZtQgjs3LkTDg4OaNKkSem/AKJSFuLliGGtA7H91G1cTM5E0yB3ZOTkQQCwVyqQm6dHak4eUrJykZqTPz2ESiGHl5MKrYLdMaCZP+xsFMjK08FBqYCfix1kD8yv/kmvUADAD8euIs/w7zh3pVxCvyb+xu1ERETFWbCr7O9afNJUq1YNN2/eND4OCAjAiRMnTGIuX75s8Z0YRERERET383Oxw9P+rsjVGqAzGHAvWwudzgCFTAYvR1soZDI8U8MVfi7WXVekwvZ2AwMDjXOzSpKEhQsXYuHChWbjhRD4z3/+U+Z5dezYEUFBQVi7di0mTJiAxo0bA8ifmuXTTz+FUqk0mbv95s2bSEtLg6+vr8n0LKNGjcLhw4cxdepUrFmzxvhalyxZgkuXLmHUqFFcdIYqjRAvRwS1Vxtvlb+/GG4wCFxPzUGGRosMjRZZeXrIJAk1PRzg72pfqGBuzie9QvFeRF0sPXgR1+5qUN1NhVGtgjkCnYiILLZgV6a1U6h0mjZtajLKvEuXLli4cCFmzZqF7t27Y//+/di4cSOee6746eGIiIiIiIpSMMvBjbQcpGTmorqrHeQyCXqDQIZGB3e1LTrX97a4flRWKuzCokOHDoUkSRBCYNWqVWjUqJGxYH0/uVwONzc3dOjQAV26dCmX3Pbs2YOIiAioVCoMHDgQjo6O2LBhAy5fvoy5c+di8uTJJq9j5cqViI6OxtChQ43tBoMBL7zwArZv344WLVogLCwM8fHx2LhxIwIDA3HkyBGTW2cfprIsTkVERERkLYHvbi1RfFlO51JZ+m7/+9//MG3aNGzbtg2BgYFITk5GkyZNcO3aNQD5A1mcnZ0RFxeH0FDeGVaAC4tSRcX3HhERVVTxSRnGWQ5ydXrYKuQI8VKjc31v45S/ZaHSLyy6YsUK4//v3bsXw4YNw4QJE6yX0H3Cw8Oxf/9+REVFYf369dBqtQgNDcVnn32GAQMGWLQPmUyGn376CbNnz8a3336L//u//4ObmxuGDx+Ojz/+uEQFdCIiIiIq3mdbd5Qo/oNevmWUSeXSq1cv9OrVy/jY09MTJ0+exNdff41Lly4hICAAgwcPhp+fnxWzJCIiIqLKLsTLETXa2GPHuVu4lZYLH2dbdK7rA6VSbu3UAFTgkehUMpVlNBMRERGRNVSkUegA+25POo5Ep4qK7z0iIqqodp+9jRUHEpGYkgWt3gAbuQyB7g4Y2joQHet5l9lxLe2Xy8osg1KUkZGBS5cuQavVmrSvX78eL7/8MoYPH24yVyMRERERET2+Dh06YNWqVcXGrF69Gh06dCinjIiIiIjoSbP77G3M2nYO529nQGUjg6uDEiobGc7fzsCsbeew++xta6dYOYro77zzDho1amRSRP/yyy8xaNAgrFu3DtHR0Wjbti3OnTtnxSyJiIiIiJ4ssbGxSExMLDbm8uXL2Lt3b/kkRERERERPFJ3OgBUHEnEvKw8KGXA3S4tbaRrczdJCIQPuZeVh5cFE6HQGq+ZZKYroe/fuxXPPPQd7e3tj2+zZs+Hn54e4uDh8//33EELgP//5jxWzJCIiIqKKKOZ8QonihzxTRok8obKysmBjY2PtNKgSmzFjBiRJKvX9JiYmQpIkzJ07t9T3/ThiY2MhSRJiY2OtnQoREZHVHb96DxeSMqA3GJCtNUAhl2BnI4dCLiFba4DeYMD52xk4fvWeVfOssAuL3u/mzZvo0qWL8fHZs2dx9epVzJkzB23atAEA/Pjjj4iLi7NWikRERERUQb36zZkSxX/Yv2znQ6/orly5YvI4NTW1UBsA6PV6XL16FRs2bEBgYGA5ZUeVwYoVKzBs2DDjY1tbW7i5uSE0NBRdu3bFsGHD4OjoaMUMiYiIqKJIzshFpkYHhQywUypQ8L26QpIgt5EjO1eLzFwdkjNyrZpnpSii5+bmQqlUGh/v3bsXkiShc+fOxragoCBs3rzZGukRERERET0xAgMDjaOCJUnCwoULsXDhQrPxvCOUzPnwww9Rs2ZNaLVa3Lp1C7GxsXjjjTcwf/58bN68GQ0bNgQAvP/++3j33XetnG35adeuHXJyckw+4xIREVVVAgIGISDJ5AAAnV5AQECCBLlMgiSTwaDVQ0BYNc9KUUSvXr06/vzzT+PjLVu2wM3NzdjpAoCUlBSo1WprpEdEREREFVRqhqZE8fXKKI/KZMiQIZAkCUIIrFq1Co0aNULjxo0Lxcnlcri5uaFDhw4md42SlRkMQNpVIC8TUKoBZ39AZp1ZPJ9//nk0adLE+Hjq1KmIiYlBt27d0L17d5w9exZ2dnZQKBRQKCrFR9MiZWVlwcHBweJ4mUwGlUpVhhkRERFVHoEeDrBTKpCdp4NWp4deAEIAkgTIJUAvAAelAoEelv9bWxYqxZzozz//PHbs2IG33noL77//Pn799Ve8+OKLJjHnz59HjRo1rJQhEREREVVEQ5eXbMHLbbOr9lQuQP5UHNHR0VixYgUCAgIwbNgwREdHF/r5+uuvMWfOHBbQK5Lkv4H984E9nwJ75+T/d//8/PYKokOHDvjggw9w+fJlrF69GkDRc6Lv3LkTbdq0gYuLC9RqNerUqYNp06aZxGg0GsyYMQO1a9eGSqWCr68vevfujYsXLxY67tKlSxEcHAxbW1s0bdoUx44dM9n+559/YujQoQgKCoJKpYKPjw9effVVpKSkmMQV5HrmzBkMGjQIrq6uxilGDQYDZsyYgWrVqsHe3h7h4eE4c+YMAgMDMXToUOM+ipoTvX379mjQoAHOnDmD8PBw2Nvbw8/PD3PmzCn0Wi5fvozu3bvDwcEBXl5eePPNN7F9+3bOs05ERJWSs0qJ6q520BsEcrQGGISAXAIMIv+x3iDg52oHZ5V17+CqFF/3T506FT///DPmz58PAPD19cWHH35o3J6UlIQDBw5g3Lhx1kqRiIiIiCqgk7d01k6hUktIKNmirGRFyX8Dh78CslMAZz/AxgHQZgE3/wTSrgMtRgOedaydJQBg8ODBmDZtGnbs2IGRI0cW2n769Gl069YNDRs2xIcffghbW1vEx8fjwIEDxhi9Xo9u3bph9+7dGDhwICZOnIiMjAzs3LkTp06dQnBwsDF27dq1yMjIwGuvvQZJkjBnzhz07t0bly5dMi6Ku3PnTly6dAnDhg2Dj48PTp8+jaVLl+L06dM4fPhwoSJ/v379UKtWLXz66acQIv/28qlTp2LOnDl48cUXERERgT/++AMRERHQaCy7I+bevXvo0qULevfujf79++PHH3/ElClTEBoaiueffx5A/qj3Dh064ObNm5g4cSJ8fHywdu1a7Nmzp2QXgYiIqILwdVLBSWUDO6UcwiCg0RmQZxCQJMBBKYckk+BsZwNfJ+vexVUpiugFnZjdu3cDyJ9DzsnJybj9zp07+M9//oOIiAhrpUhERERElVyluEWznGVkZCA5ORn+/v7GYiMArF+/Hps3b4ZKpcLrr7+OZ555xopZEgwG4OzP+QV0z7owrshl6wR4OgLJ54BzWwD3Wlab2uV+1atXh7Ozc5EjxoH8gnZeXh62bdsGDw+PImNWrVqF3bt3Y/78+XjzzTeN7e+++66xqF3gypUruHDhAlxdXQEAderUQY8ePbB9+3Z069YNADB27FhMnjzZ5HktWrTASy+9hP3796Nt27Ym2xo1aoS1a9caH9++fRvz589Hz5498b///c/YPnPmTMyYMeMhZyTfjRs3sGrVKgwePBgAMHz4cAQEBGD58uXGIvqSJUtw6dIlbNq0CT169AAAvPbaa3j66actOgYREVFFczNdA1sbGXycVNDq9JDu66sIgwE2NgooFTLcTNfA383eanlavwdlITs7O3Tr1g3dunUzKaADwFNPPYWJEyeibt26VsqOiIiIiCqarw//XqL42LfalFEmldc777yDRo0aQavVGtu+/PJLDBo0COvWrUN0dDTatm2Lc+fOWTFLQtpV4M6F/BHoD4yYhiQBTn5A8vn8uApCrVYjIyOjyG0uLi4AgJ9++gkGg6HImA0bNsDDwwPjx48vtO3BUeMDBgwwFtABGAvily5dMrbZ2dkZ/1+j0eDOnTto0aIFAOD48eOFjjF69GiTx7t374ZOp8PYsWNN2ovKzxy1Wo1XXnnF+FipVKJZs2Ymef7666/w8/ND9+7djW0qlarIEf1ERESVQVaeDkqFDM8GuMHb2R42chkkCbCRy+DjYo9narjAViFDVp517zCtNEV0IiIiIqKS+HjTrRLF1/BwLqNMKq+9e/fiueeeg739v6N+Zs+eDT8/P8TFxeH777+HEAL/+c9/rJglIS8T0Gnyp3ApitI+f3teZvnmVYzMzEw4OjoWuW3AgAFo3bo1RowYAW9vbwwcOBDff/+9SUH94sWLqFOnjkULkj64dlZBQf3evXvGtrt372LixInw9vaGnZ0dPD09UbNmTQBAWlpaoX0WbCtw+fJlAEBISIhJu5ubm0kBvzjVq1cv9AWAq6urSZ6XL19GcHBwobgHj0tERFRZOCgVUCnkUNnI0DTQFS2D3NG8pjtaBrmjSYAr7GzksFXI4aC07oQqFbKI3qVLl0ILvVgqKysLs2fPxuLFi0s5KyIiIiKiquXmzZsmxcKzZ8/i6tWrmDBhAtq0aYO+ffuie/fuiIuLs2KWBKUaUKjy50AvSl52/nalunzzMuPatWtIS0szW/i1s7NDXFwcdu3ahcGDB+PPP//EgAED0KlTJ+j1+hIfTy6XF9l+/7Qv/fv3x7JlyzB69Ghs3LgRO3bswK+//goARY6Gv3/kemmxJE8iIqInjZ+LHYI91biZlr+GiJOdDTzUtnCyy59K8GaaBiFeavi5lP6/vSVRIYvoycnJaNGiBcLDwxEdHV3kN/8POnz4MMaNG4eAgAB89NFH8Pb2LodMiYiIiKgi0mhKdrtnjYpRW6xwcnNzoVQqjY/37t0LSZLQuXNnY1tQUBCuX79ujfSogLM/4FErfwHRBwuuQgDp1wHP2vlxFcC3334LAMWuaSWTydCxY0fMnz8fZ86cwSeffIKYmBjjAprBwcH4+++/TaYaelT37t3D7t278e6772LmzJno1asXOnXqhKCgIIv3ERAQAACIj483aU9JSTEZSf64AgICcPHixUKF9QePS0REVFnIZBIiGnjDzUGJC0mZyNBooTMYkKHR4kJSJtwclOhc3xsymfTwnZWhCrmw6O+//46VK1di5syZGD58OEaOHIk6derg2Wefhbe3N1xcXKDRaHD37l38/fff+O2335CRkQG5XI6BAwfi448/LnTLHhERERFVHV/sOVui+B/HtS+bRCq56tWr488//zQ+3rJlC9zc3NCwYUNjW0pKCtRqfgthVTIZUO/F/CJ68rn8OdCV9vkj0NOvAw7uQN1uFWJR0ZiYGHz00UeoWbMmXn755SJj7t69Czc3N5O2xo0bA8j/YgcA+vTpg61bt2LRokUmC4sC+SO3H5zupDgFI8AfLEwvWLDA4n107NgRCoUCX375JTp16mRsX7RokcX7sERERAR27tyJzZs3GxcW1Wg0WLZsWakeh4iIqDyFeDliWOtA/PrXLfx1PQ3ZWh3sbRRoWN0ZEQ18EOJV9BRw5alCFtEBIDIyEkOGDMEvv/yC6OhoxMbGYvXq1YXiZDIZGjZsiF69emHEiBHw9fW1QrZEREREVJEs3nulRPFeLmbmkq7inn/+eSxevBhvvfUWVCoVfv31VwwZMsQk5vz58xzAUhF41gFajAbO/py/yGjGjfwpXKo1yi+ge9Yp95S2bduGc+fOQafT4fbt24iJicHOnTsREBCAzZs3Q6VSFfm8Dz/8EHFxcejatSsCAgKQlJSEL774AtWrV0ebNvkLAA8ZMgSrVq3CpEmTcPToUbRt2xZZWVnYtWsXxo4daywwW8LJyQnt2rXDnDlzoNVq4efnhx07diAhIcHifXh7e2PixImYN28eunfvji5duuCPP/7Atm3b4OHhUaKifnFee+01LFq0CC+99BImTpwIX19frFmzxnguS+s4REREViH98/PP/1ekCc0qbBEdyO8AdO3aFV27dgWQPwfjtWvXkJKSYlzspX79+nB25iJQRERERPSvks+aTEWZOnUqfv75Z8yfPx8A4Ovriw8//NC4PSkpCQcOHMC4ceOslSLdz7MO4F4LSLuav4ioUp0/hYuVRqBPnz4dAKBUKuHm5obQ0FAsWLAAw4YNM7uoKAB0794diYmJ+Oabb3Dnzh14eHggLCwMM2fONH72k8vl+OWXX/DJJ59g7dq12LBhA9zd3dGmTRuEhoaWONe1a9di/PjxWLx4MYQQ6Ny5M7Zt24Zq1apZvI/PPvsM9vb2WLZsGXbt2oWWLVtix44daNOmjdkvDEpKrVYjJiYG48ePx8KFC6FWqzFkyBC0atUKffr0KbXjEBERlaf4pAxEH0jE3aw8+LnYwV6pQHaeDqdvpONmmgbDWgdafTS6JLhKyRMhPT0dzs7OSEtLg5OTk7XTISIiIrKapNQsNJsda3H8rjdbIsTb7eGBpagy9d1ycnKwe/duAEC7du1M8j1z5gx27tyJiIgI1K1b11opVjgPu74ajQYJCQmoWbMmi55PuNTUVLi6uuLjjz/Ge++9V2bHWbBgAd58801cu3YNfn5+ZuP43iMioorGYBD4MvYiTt1IQy0vtcldVUIIXEjKRKifM0aHBZfJvOiW9ssr9Eh0IiIiIqKSGrX69xLFl3cBvbKxs7NDt27ditz21FNP4amnnirnjIgqppycHNjZ2Zm0Fcyr3r59+zI7jkajwZIlS1CrVq1iC+hEREQV0fXUHFxMzoSvc/6Xu+k5WuTpDVDKZXBUKeDrrEJ8Uiaup+bA383eanmyiE5ERERET5SbqRqLY+txICYRlZL169djxYoVeOGFF6BWq7F//36sW7cOnTt3RuvWrUvtOL1790aNGjXQuHFjpKWlYfXq1Th37hzWrFlTascgIiIqL1l5Omh0emi0Mpy7mYG72XnQGQxQyGRws1ci0MMeuTo9svJ0Vs2TRXQiIiIieqKk5mgtjl3/1nNlmEnl06VLF3z00Udo2rRpiZ+blZWFzz//HI6Ojnj99dfLIDuiiq1hw4ZQKBSYM2cO0tPTjYuNfvzxx6V6nIiICHz99ddYs2YN9Ho9nnrqKXz33XcYMGBAqR6HiIioPDgoFcjTGXD8yj3o9AJqlQI2cgW0egOSMjRIycqFv5s9HJTWLWOziE5ERERETwydzoDcEqwq6qS2LbtkKqHk5GS0aNEC7dq1w5AhQ9C7d2/jQo7mHD58GKtXr8Z3332HnJwcrFy5spyyJapYnnnmGezatavMj/PGG2/gjTfeKPPjEBERlQdfJxVytQbcy9aihqsdZP8siG6rkMPGXsKVeznw1hng62TdW0hZRCciIiKiJ8bxq/csjnW1Y1f4Qb///jtWrlyJmTNnYvjw4Rg5ciTq1KmDZ599Ft7e3nBxcYFGo8Hdu3fx999/47fffkNGRgbkcjkGDhyIjz/+GDVq1LD2yyAiIiKiSuJmuga2NjK42NngXrb2n5HoMmj1BmRqdHCxV0KpkOFmuoZzohMRERERlYaUrDxIAIQFsW2CXcs6nUopMjISQ4YMwS+//ILo6GjExsZi9erVheJkMhkaNmyIXr16YcSIEfD19bVCtpWbEJa8U4lKD99zRERU0WTl6aBUyPBsgBsS7mThXnYeMnN1UMhk8HJSIcDdHuk5Ws6JTkRERERUWtwdlPC0lyEp2/DQ2E96NiqHjConSZLQtWtXdO3aFQBw9uxZXLt2DSkpKbCzs4Onpyfq16//0KleqGg2NjaQJAlZWVmws7OzdjpUhWRnZwPIfw8SERFVBA5KBVQKOVQ2MjQNdEWGRoc8vQFKuQyOKgUyc3XI1Ro4JzoRERERUWl5xt8Vdaq54d6lO9AWU0dvF+LB+dBLoF69eqhXr56103hiyOVyODs7Izk5Gbm5uXBycoJCoYAkSdZOjZ5QQghkZ2cjKSkJLi4ukMvl1k6JiIgIAODnYodgTzVO3UhDLS81nOz+/aJXCIGbaRqE+jnDz8W6Aw9YRCciIiKiJ4ZCIcPQ1oG4ma7B5TuZRRbS61dzxKoRzcs/OaL7+Pj4wM7ODklJSUhPT7d2OlRFuLi4wMfHx9ppEBERGclkEiIaeONGWg4uJGXC11kFO6UcOXl63EzTwM1Bic71vSGTWXewAYvoRERERPRE6VjPGwCw4kAi/r5xF6m5BggArnY2mNqtLno15sKXZH2SJMHFxQXOzs7Q6/XQ6aw7zyc9+WxsbDgCnYiIKqQQL0cMax2I7adu42JyJm6na2CrkCPUzxmd63sjxMvR2imyiE5ERERET56O9bwRVssTx6/eQ0pWHtwdlHjG3xUKhczaqRGZkCQJCoUCCgU/mhEREVHVFeLliKD2alxPzUFWng4OSgX8XOysPgK9AHtqRERERPREUihkaFbT3dppEBERERGRBWQyCf5u9tZOo0gcikNEREREREREREREZAaL6EREREREREREREREZrCITkRERERERERERERkBovoRERERERERERERERmcGHRJ4QQAgCQnp5u5UyIiIiI6GHYZ3uysW9OREREVDkU9NcK+m/msIj+hMjIyAAA+Pv7WzkTIiIiIqKqjX1zIiIiosolIyMDzs7OZrdL4mFldqoUDAYDbty4AUdHR0iSVC7HTE9Ph7+/P65evQonJ6dyOSaVLl7Dyo/XsPLjNaz8eA0rP2tcw4IuuJOTU7n13aj8lGffnH+DzOO5MY/npmg8L+bx3JjHc2Mez415PDfmlfe5EUIgIyMD1apVg0xmfuZzjkR/QshkMlSvXt0qx3ZycuIvfCXHa1j58RpWfryGlR+vYeXHa0ilxRp9c75/zeO5MY/npmg8L+bx3JjHc2Mez415PDfmlee5KW4EegEuLEpEREREREREREREZAaL6EREREREREREREREZrCITo/M1tYWUVFRsLW1tXYq9Ih4DSs/XsPKj9ew8uM1rPx4Daky4/vXPJ4b83huisbzYh7PjXk8N+bx3JjHc2NeRT03XFiUiIiIiIiIiIiIiMgMjkQnIiIiIiIiIiIiIjKDRXQiIiIiIiIiIiIiIjNYRCciIiIiIiIiIiIiMoNFdCIiIiIiIiIiIiIiM1hEpxI7duwYXnjhBbi4uMDBwQEtWrTA999/b+206D7Xr1/HggUL0LlzZ9SoUQNKpRI+Pj7o06cPjhw5UuRz0tPTMWnSJAQEBMDW1haBgYF4++23kZmZWc7ZU3E+++wzSJIESZJw+PDhQtt5HSum//3vf+jUqRPc3d2hUqlQs2ZNvPTSS7h69apJHK9fxSOEwMaNGxEeHg5fX1/Y29ujTp06eO2113Dp0qVC8byG1rN69Wq89tpraNKkCWxtbSFJElasWGE2vqTXymAw4PPPP0doaCjs7Ozg6emJl156qcj3AVFpYH/OPI1Gg0mTJqFdu3aoVq0aVCoVfHx80Lp1a0RHR0Or1RZ6TlU5N0Vh//FfgYGBxnPx4E/79u0Lxefm5uLDDz9ErVq1oFKpUK1aNYwaNQpJSUnln3w5YJ/V1IoVK8y+Xwp+OnbsaPKcqnJuAPaTi2MwGLBo0SI888wzsLe3h5OTE9q1a4fNmzcXGf+knZsntl8uiEogJiZG2NjYCEdHRzFy5EgxadIkERAQIACIuXPnWjs9+seUKVMEABEcHCyGDx8u3n33XdGnTx8hl8uFTCYT3333nUl8ZmamaNy4sQAgOnfuLKZMmSI6d+4sAIimTZuKnJwcK70Sut9ff/0lbG1thYODgwAgDh06ZLKd17HiMRgMYtSoUcbfx7Fjx4opU6aIwYMHixo1aoh9+/YZY3n9KqZJkyYJAMLX11eMHj1avPPOOyIiIkJIkiQcHR3FX3/9ZYzlNbSugv6Ih4eH8f+jo6OLjH2UazVixAgBQNSvX1+888474pVXXhFKpVK4ubmJ8+fPl/Gro6qI/TnzkpOThUqlEu3atRMjRowQU6dOFaNHjzb+7nfu3Fno9XpjfFU6Nw9i/9FUQECAcHZ2FlFRUYV+Hvw3Q6/Xi4iICAFAtGjRQkyZMkX07t1bSJIkgoKCRFJSknVeRBlgn7VoJ06cKPK9EhUVJerXry8AiM8++8wYX5XOjRDsJ5tjMBhEnz59jL9P48aNEyNHjhReXl4CgPj8889N4p/Ec/Ok9stZRCeLabVaERwcLGxtbcWJEyeM7ampqaJ27dpCqVSKxMRE6yVIRhs2bBCxsbGF2uPi4oSNjY1wdXUVGo3G2D59+nQBQEyZMsUkvuDD26efflrmOVPx8vLyxDPPPCOaN28uXnnllSI/BPE6VjwLFiwQAMTYsWOFTqcrtF2r1Rr/n9ev4rl586aQyWQiICBApKammmybP3++ACCGDRtmbOM1tK6dO3ca+yGzZs0qtrNe0msVExMjAIh27dqJ3NxcY/svv/xi7PATlTb258zT6/Umv4sFtFqtaN++vQAgtmzZYmyvSufmfuw/FhYQECACAgIsiv3mm28EAPHSSy8Jg8FgbP/yyy8FADFq1KgyyrL8sc9aMrm5ucLd3V0oFApx69YtY3tVOjfsJ5v3ww8/CACidevWIjs729ienJwsAgIChK2trUhISDC2P4nn5kntl7OIThbbvn17oT+EBVasWCEAiJkzZ1ohMyqJgm/0jh07JoTI/5a0WrVqQq1Wi8zMTJPYzMxMoVarRVBQkDVSpftERUUJW1tbcfr0aREZGVnoQxCvY8WTnZ0tXF1dRVBQkMkHj6Lw+lVMhw4dEgDEoEGDCm07f/68ACC6desmhOA1rGiK66w/yrV66aWXBACxd+/eQvsrKNhdvny5VF8DUXHYnzNv4cKFAoBYsGCBEKJqnxv2HwsrSRG9ZcuWAkChgWIGg0EEBQUJBwcHkwJZZcU+a8mtX79eABA9e/Y0tlW1c8N+snkFX1pu3bq10LaCL6ymT58uhKga5+ZJ6pdzTnSyWGxsLACgc+fOhbZFREQAAPbu3VueKdEjsLGxAQAoFAoAwIULF3Djxg20bt0aDg4OJrEODg5o3bo1Ll26VGgePCo/x48fxyeffIKoqCg89dRTRcbwOlY8O3bswL1799CzZ0/o9Xps3LgRs2fPxldffYX4+HiTWF6/iqlWrVpQKpU4cOAA0tPTTbZt2bIFAIzzYPIaVh6Pcq1iY2ON2x7EPhBZA/tzRTMYDPj1118BAA0aNABQdc8N+4/m5ebmYsWKFfj000+xaNGiItcY0Gg0OHLkCOrUqYOAgACTbZIkoVOnTsjKysJvv/1WXmmXGfZZS+7rr78GAIwYMcLYVtXODfvJ5t26dQsAULNmzULbCtpiYmIAVL1z86DK1i9nEZ0sduHCBQD5fywf5OPjA7VabYyhiunKlSvYtWsXfH19ERoaCqD463p/O6+tdeTm5mLIkCFo3Lgx3nnnHbNxvI4Vz++//w4AkMvlaNiwIfr06YOpU6dizJgxqFOnDt566y1jLK9fxeTu7o7Zs2fjypUrqFu3LsaMGYMpU6agS5cumDJlCsaOHYtx48YB4DWsTEp6rbKysnDz5k3UrFkTcrn8ofFEZY39uX/l5eVhxowZiIqKwrhx41C/fn1s27YNw4YNMyneAFXr3LD/WLxbt25h2LBheO+99zB+/Hi0aNECzZo1w8WLF40xFy9ehMFgqBLnhn3Wkrl8+TJ2796N6tWro0uXLsb2qnZu2E82z8PDAwCQkJBQaFtB2/nz5wFUvXPzoMrWL1eUyV7piZSWlgYAcHZ2LnK7k5OTMYYqHq1Wi8GDByM3NxefffaZ8Q+OJdf1/jgqX9OnT8eFCxfw+++/F/mPRAFex4onKSkJADB//nw888wzOHr0KOrVq4cTJ05g1KhRmDdvHoKDgzFmzBhevwrszTffhJ+fH0aMGIGvvvrK2N6mTRsMGjTIOAqU17DyKOm14rWlioT9OVN5eXmYOXOm8bEkSXjrrbcwa9YsY1tVPDfsP5o3bNgwtG3bFg0aNIBarcb58+cxf/58fPvtt+jYsSP++usvODo6Vqlzwz5ryURHR8NgMGDo0KEmv19V8dywn1y0559/Ht999x1mz56NDh06QKVSAQBSUlKwYMECAEBqaiqAqnduHlTZ+uUciU5UBRT8Ix8XF4eRI0di8ODB1k6JLHDo0CHMnTsX77//vvGWZKo8DAYDAECpVGLTpk1o2rQp1Go12rZtix9++AEymQzz5s2zcpb0MB9++CFeeeUVTJs2DVevXkVGRgb27dsHjUaD9u3bY/PmzdZOkYiqCPbnClOr1RBCQK/X4+rVq1i8eDG+/vprtG/fvtD0AlUF+4/Fi4qKQocOHeDl5QV7e3s0btwYq1atwuDBg3H58mUsW7bM2imWO/ZZLWcwGBAdHQ1JkvDqq69aOx2rYz+5aIMGDUJ4eDj27duH0NBQjB8/HqNHj0b9+vWNRV6ZjOXYyohXjSxW8E2PuW900tPTzX4bRNZjMBjw6quvYu3atXjllVdMviEGLLuu98dR+dDpdIiMjETDhg3x7rvvPjSe17HiKTjXTZo0QbVq1Uy2NWjQAEFBQbh48SJSU1N5/SqoXbt2GacIePfdd1G9enWo1Wq0adMGP//8M2xsbDB58mQA/B2sTEp6rXhtqSJgf654MpkM1atXx5gxY7B06VIcOHAAn3zyCYCqdW7Yf3x0r732GgDgwIEDAKrWuWGf1XK7du3ClStX0KFDh0LzXVe1c8N+snkKhQLbtm3DjBkzIJPJsHTpUmzcuBE9evTAjz/+CADw8vICUPXOzYMqW7+c07mQxe6fW+jZZ5812Xbr1i1kZmaiWbNm1kiNzDAYDBg2bBhWrVqFl156CStWrCj0jefD5ox62BxVVDYyMzON516pVBYZ07JlSwDA//73P+OCUbyOFUedOnUAAC4uLkVuL2jPycnh72EFtW3bNgBAeHh4oW0+Pj6oW7cuTpw4gczMTF7DSqSk18rBwQG+vr5ISEiAXq8vNDUCry2VNfbnSqZz584A8hceA6rWuWH/8dEVzGGclZUFAAgKCoJMJqsS54Z9VssVtaBogap2bthPLp6trS2ioqIQFRVl0l7wb1OTJk0AVL33zYMqW7+cRXSyWFhYGGbNmoUdO3Zg4MCBJtu2b99ujKGK4f4PXAMGDMC3335rduGFatWq4cCBA8jKyjJZETkrKwsHDhxAzZo14e/vX57pV3m2trYYPnx4kdvi4uJw4cIFdO/eHZ6enggMDOR1rIAKOpRnz54ttE2r1SI+Ph4ODg7w9PSEj48Pr18FlJeXBwBITk4ucntycjJkMhlsbGz4O1iJPMq1CgsLw3fffYcDBw6gXbt2Jvsr6AM92E5UGtifK7kbN24AAGxsbABUrXPD/uOjO3LkCAAgMDAQAGBnZ4dmzZrh8OHDuHz5MgICAoyxQgjs3LkTDg4OxkJYZcY+q2VSUlLw008/wc3NDb169Sq0var9PrGf/GjWrFkDAMaaWlU/N5WuXy6ILKTVakVQUJCwtbUVJ06cMLanpqaK2rVrC6VSKRISEqyWH/1Lr9eLyMhIAUD069dPaLXaYuOnT58uAIgpU6aYtE+ZMkUAEJ9++mlZpkslVHBtDx06ZNLO61jxdO7cWQAQy5YtM2n/8MMPBQDxyiuvGNt4/SqedevWCQCifv36IjU11WTbl19+KQCI1q1bG9t4DSuOWbNmCQAiOjq6yO0lvVYxMTECgGjXrp3Izc01tv/yyy8CgOjcuXOpvwYi9ufMO336tMjKyirUnpWVJbp06SIAiE8++cTYXpXOjTnsPwpx9uzZIt83Z8+eFT4+PgKA2Lt3r7H9m2++EQDESy+9JAwGg7G9oA8watSocsm7PLDP+nD/93//JwCICRMmmI2pSueG/eTipaWlFWr74YcfhEwmE02bNhU6nc7Y/qSfmyepXy4JIUSpV+bpibVnzx5ERERApVJh4MCBcHR0xIYNG3D58mXMnTvXOOcVWdeMGTMwc+ZMqNVqTJw40bgq9v169uyJxo0bA8j/hq9169b4448/0LlzZzzzzDM4fvw4duzYgaZNm2Lv3r2ws7Mr51dB5gwdOhQrV67EoUOH0KJFC2M7r2PFc/HiRbRq1QpJSUno2rWr8bbGmJgYBAQE4PDhw/Dx8QHA61cR6fV6dOjQAXFxcfDy8kL37t3h4uKC48ePIyYmBnZ2doiNjTVOZcZraF1ff/019u/fDwD466+/cPz4cbRu3RohISEAgDZt2hhvv36UazVy5Eh8/fXXqF+/Prp27YqbN29i/fr1UKvVOHToEGrXrl2+L5ieeOzPmTdjxgzMnz8fbdq0QWBgIJycnHD9+nVs27YNKSkpaNu2LbZv3258vVXp3JjD/uO/75t27dohICAADg4OOH/+PH755RdotVpMnToVn376qTHeYDDghRdewPbt29GiRQuEhYUhPj4eGzduRGBgII4cOQJPT08rvqLSwz7rw4WGhuLUqVP4888/ERoaWmRMVTo37CcXr169evD390e9evWgUqlw9OhRxMbGIigoyPh7VeBJPDdPbL+8zMrz9MQ6cuSI6NKli3BychJ2dnaiWbNm4rvvvrN2WnSfgpEmxf08+C1gamqqeOONN4S/v7+wsbERNWrUEJMnTxbp6enWeRFklrmRRELwOlZEV65cEUOHDhU+Pj7CxsZG+Pv7i9dff13cvn27UCyvX8Wj0WjErFmzxNNPPy3s7e2FQqEQfn5+4pVXXhFnzpwpFM9raD0P+7cvMjLSJL6k10qv14uFCxeK+vXrC1tbW+Hu7i4GDBgg4uPjy+HVUVXE/px5x44dEyNHjhT169cXLi4uQqFQCHd3dxEeHi6WLFlS5Kj9qnJuzGH/UYjY2FjRv39/UatWLeHk5CQUCoXw8fERPXr0ENu3by/yORqNRsyYMUMEBwcLpVIpfHx8xIgRI8StW7fKOfuyxz6reUeOHBEARLNmzR4aW5XODfvJ5kVFRYnQ0FDh6OgoVCqVqFevnnj//feLHKEuxJN3bp7UfjlHohMRERERERERERERmSF7eAgRERERERERERERUdXEIjoRERERERERERERkRksohMRERERERERERERmcEiOhERERERERERERGRGSyiExERERERERERERGZwSI6EREREREREREREZEZLKITEREREREREREREZnBIjoRERERERERERERkRksohMRERERERERERERmcEiOhFRJXXixAnI5XKsXbvW2qlUeUOHDoUkSUhMTHzkfcTGxkKSJMyYMcOkvW3btmjevHmJ9pWYmAhJkow/Pj4+j5zXw7Ro0cLkWLGxsWV2LCIiIqKKin3zioN9c/bNicoCi+hEVCVlZWXh008/xTPPPAO1Wg1bW1tUr14dbdu2xdSpU3Hx4sUin3fr1i1MmTIFDRs2hKOjI+zt7VG7dm2MHTsWFy5cKPaYQghs3LgRvXv3RvXq1WFrawtHR0c0atQIb775Js6cOVOi1zBp0iTUrVsXAwcOLNHzCkiShPbt2z/Scx80Y8YMdtLKyIwZM3D06FF89913JX5uo0aNEBUVhbfeesukXaPRYNKkSfD394e7uzt69+6Na9euFbmPadOmwcfHB/fu3Sty+4gRIxAVFYWwsLAS50dEREQEsG8OsG9eWbBvTlR1KaydABFRecvIyECbNm3w559/IiQkBK+88grc3d1x584dHD16FLNnz0ZwcDCCg4NNnvfLL79g4MCByMjIQIsWLTBy5EgoFAqcPHkSS5Yswddff40vv/wSw4cPL3TMu3fvol+/foiJiYGLiws6deqEoKAg5OXl4fTp0/jiiy/w3//+F7t377ao8xwTE4PY2FgsX74cMhm/D32SdezYEc888wyioqIwYMAASJJk8XMbN25caPQMALz11lv44osv0L9/f3h4eCA6Ohrdu3fHsWPHIJfLjXF//vkn/vOf/2DNmjVwdXUt8hgjRowAkP+BYu/evSV7cURERFTlsW9OlQn75kRVF4voRFTlLFiwAH/++SdGjBiBpUuXFur4JCQkIDc316Tt999/R+/evSGTybBp0yb06NHDZPuhQ4fQvXt3jBw5Ej4+Pujatatxm06nQ69evRAXF4dXXnkFixcvhpOTk8nzb968iffeew9paWkWvYYvv/wSdnZ26Nu3b0leOlVSr7zyCiZNmoSYmBh07NjxsfZlMBiwfPlyDB8+HMuWLQMANG/eHEOGDMGxY8fQokULAIBer8eIESPw/PPPo3///o/9GoiIiIiKwr45VTbsmxNVTfyKlIiqnEOHDgEAXn/99SJHDtSsWRN169Y1aZs4cSJyc3Px3//+t1AnHQBatmyJtWvXQgiB8ePHQ6/XG7d9++23iIuLQ7t27bBy5cpCnXQA8PX1xTfffIMuXbo8NP979+7hp59+QkRERJH72rNnD55//nlUq1YNtra28Pb2Rtu2bbF06VIA/87vBwB79+41mTNvxYoVAIC0tDR89tlnCAsLQ7Vq1aBUKlGtWjUMGTKk0O207du3x8yZMwEA4eHhxn0FBgaaxCUlJeHNN99ESEgIbG1t4eHhgT59+uDUqVMPfc0FCuY3vHTpEubOnYvatWvDzs4OTz31lPGWyry8PLz33nsIDAyESqVCw4YNsW3btiL3d/nyZQwfPhx+fn5QKpWoXr06hg8fjitXrhQZf/r0aXTr1g2Ojo5wdnbGCy+88ND8f/rpJ3Ts2BGurq5QqVRo0KAB5s6da/IeeZh+/foBgPH6PI47d+5Ao9Hg2WefNbY1adIEAExe98KFC3Hu3Dl88cUXj31MIiIiInPYN2ffvAD75vnYNyeqmDgSnYiqHHd3dwDA+fPn0bhx44fGX7hwAQcOHICfnx+GDRtmNq5Tp05o3rw5jhw5gj179uC5554DACxfvhwA8P777z/09k5bW9uH5hMXFwetVmsclXC/rVu34sUXX4SLiwt69OgBX19fJCcn448//sC3336LUaNGITAwEFFRUZg5cyYCAgIwdOhQ4/MLzsfZs2cxffp0hIeHo1evXnBwcMC5c+ewdu1abN26FcePH0dAQAAAGJ+/d+9eREZGGjvoLi4uxv1evHgR7du3x7Vr19C5c2f07NkTSUlJ2LBhA7Zv347du3eXaIGeSZMm4ciRI3jxxRchl8vx3XffYdCgQXB1dcXnn3+OM2fOoGvXrtBoNFi7di169OiBs2fPmtwGfP78ebRp0wbJycl48cUXUb9+fZw6dQrffPMNfv75Z+zfvx+1a9c2xp86dQqtW7dGZmYmevfujVq1auHo0aNo3bo1GjVqVGSeU6dOxezZs+Hn54fevXvD2dkZ+/btw9tvv40jR47ghx9+sOj1Vq9eHf7+/ti9e7fF58gcDw8PqFQqnDhxwth2/PhxAECNGjUA5C9+NH36dHz22WeoXr36Yx+TiIiIyBz2zdk3B9g3Z9+cqBIQRERVzE8//SQACEdHRzF58mSxfft2cefOHbPxK1asEADEyy+//NB9T5s2TQAQH374oRBCCK1WK2xsbIRCoRA5OTmlkv/bb78tAIidO3cW2ta7d28BQJw8ebLQtgdfIwARFhZW5DFSU1NFSkpKofaYmBghk8nEiBEjTNqjoqIEALFnz54i99eqVSshl8vFr7/+atL+999/C0dHRxEaGlrk8x4UGRkpAIjatWuLpKQkY/uRI0cEAOHi4iLatGkjMjMzjdvWr18vAIjx48eb7Cs8PFwAEEuWLDFpX7x4sQAgOnToYNIeFhYmAIjVq1ebtE+dOlUAEABEQkKCsX3Hjh0CgIiIiDDJx2AwiNGjRwsA4scffzS279mzRwAQUVFRRb72Xr16CQDi0qVLxZ8kIURCQoIAICIjI4vcPnbsWCFJknjppZfEuHHjhFqtFk8//bTQ6XRCCCE6d+4sWrVqJQwGw0OPVeBh7wEiIiKiorBvno99c/bN2Tcnqtg4nQsRVTndu3fHvHnzIITAvHnzEBERAQ8PD4SEhGDcuHG4cOGCSfytW7cAAP7+/g/dd0HMzZs3AQApKSnQarXGEQaloWCldm9vb7MxdnZ2hdoKRvlYwtnZGW5uboXaw8PDUb9+fezatcvifZ04cQIHDx5EZGQkIiIiTLbVrl0bI0eOxF9//VWiW0ffe+89eHp6Gh83a9YMQUFBSE1NxSeffAIHBwfjtj59+sDGxgZ//PGHse3KlSvYs2cPnnrqKYwcOdJk36NHj0bdunURExODq1evGuP37t2Lhg0b4uWXXzaJnzZtmsnIngKLFi0CACxdutQkH0mSMHv2bEiShHXr1ln8mguud8H1fxxz587FhAkTsHfvXqxZswadOnXC5s2bIZfLsWrVKsTGxmLZsmXIysrC0KFDoVaroVarMXToUGRlZT328YmIiIgKsG/+cOybs2/OvjmR9XE6FyKqkiZNmoSRI0fi119/xcGDB/Hbb7/hyJEjWLx4MZYvX47169eje/fu1k6zSCkpKQBQZOdw4MCB2LhxI1q0aIFBgwahY8eOaNu2LTw8PEp8nNjYWCxYsABHjhzBnTt3oNPpjNuUSqXF+zl8+DAA4Pbt20WuRn/u3Dnjfxs0aGDRPou61dfX1xeXLl0qtE0ul8PLyws3btwwtp08eRIAEBYWVmjuTZlMhnbt2uHcuXM4efIk/P39jZ38Nm3aFDquWq1G48aNERsba9J++PBhODg44JtvvinyNdjZ2RlfuyUKPjjduXPH4ueYY2dnhwULFmDBggUm7cnJyZg0aRKmTp2Kp556Cq+99hp++ukn4yJfY8eOhb29PediJCIiolLFvvnDsW/Ovjn75kTWxSI6EVVZjo6O6Nevn3FhmLS0NEybNg1ffPEFhg8fjuvXr0OpVMLHxwcAjCMfilMQ4+vrCyB/hImNjQ1SUlKQm5tr0byKD1MwkkWj0RTa1q9fP2zatAnz58/HV199hcWLF0OSJISHh2PevHkWzTMJAD/88AMGDBgAtVqNiIgIBAYGwt7e3rjA0eXLly3O9+7duwDy54TcunWr2biSjKIoatEmhUJR7DatVmt8nJ6eDsD8iKGC61cQl5aWBgDw8vIqMr6o/dy9exc6nc64sFNRSvKac3JyAAD29vYWP6ekJk6cCG9vb0ybNg0ZGRn45ptvMHPmTAwaNAgAcOnSJcycORNz5syBWq0uszyIiIio6mHf3Dz2zdk3Z9+cyPpYRCci+oezszMWLVqErVu34vLly/jrr7/w7LPPolWrVgDyR3/o9XrI5XKz+yhYXKZly5YA8juIzZo1w4EDBxAXF4dOnTo9dp4Ft0oWdIAf1KNHD/To0QMZGRk4cOAANm7ciOXLl6NLly44d+5ckaNkHjRjxgyoVCr8/vvvqFWrlsm27777rkT5FnScP//8c4wbN65Ezy0rBTndvn27yO0FtwkXxDk7OwMAkpKSiowvaj9OTk6QJKlURqcA/17v+2+VLU2//PIL1q9fj3379kGpVOLs2bPQ6XQmH+6efvppaLVaXLx40eyCTURERESlgX3zf7Fvzr45++ZE1sc50YmI7iNJkskceQBQq1YttGrVCtevX8fKlSvNPnf37t04cuQIatasifDwcGP78OHDAQCffvophBDFHj83N/ehOYaGhgIA/v7772LjHB0d0aVLFyxduhRDhw7F7du3ceTIEeN2mUwGvV5f5HMvXryIevXqFeqk37x5E5cuXSoUX/Dhpaj9NW/eHABw6NChYvMtTwWdz7i4uELXRAiBuLg4k7iCTun+/fsL7SszM9N4C+r9mjdvjpSUlELzeD6qv//+GzY2Nqhbt26p7O9+mZmZGDNmDMaMGWP8YFrg/vdkwf8/eJstERERUVlg3zwf++bsmxdg35zIelhEJ6IqZ8mSJTh27FiR2zZt2oSzZ8/CxcXFZA7AhQsXQqlUYvz48diyZUuh5x09ehSDBg2CJEn4/PPPTUbEDB48GG3btkVsbCyGDRuGjIyMQs+/ffu2cR7IhwkLCwMAk053gbi4uCI7ywWjNO5fQMnNzc3sQjgBAQGIj483GcWh0WgwZswYk1sv798XUPRttc2aNUPz5s2xbt06rF+/vtB2g8GAvXv3FplHWalRowbCw8Nx+vTpQvMiLl26FGfPnkWHDh2Mi1HVqFED7dq1w59//ok1a9aYxH/66adITU0tdIwJEyYAAF599VXjXJn3u3XrFs6ePWtRvnl5eThx4gSaNGlSJreMTps2DQaDAbNmzTK2BQcHw8bGBr/88oux7ZdffoFSqURwcHCp50BERERVE/vm+dg3Z9+8APvmRBUTp3Mhoipn27ZtGD16NEJCQtC6dWtUq1YNWVlZOHHiBPbt2weZTIYvvvjCZI7EJk2a4Mcff8RLL72EF198ES1btkTLli2hUChw8uRJ7Nq1C3K5HMuWLUPXrl1NjqdQKLBp0yb069cPK1euxObNm9G5c2fUrFkTeXl5OHPmDGJjY6HVavHKK688NP+GDRsiKCgIO3fuLLRtwoQJuHHjBtq0aYPAwEBIkoT9+/fj6NGjaNGihcniOx06dMD333+Pnj174umnn4ZcLkf37t3RsGFDjB8/HuPHj8fTTz+Nvn37QqfTYefOnRBCoFGjRsbFfAqEh4dDkiRMmzYNp0+fhrOzM1xcXIy3iK5btw7h4eEYOHAgFixYgGeeeQZ2dna4cuUKDh06hOTk5CLnkSxLX375Jdq0aYORI0fi559/xlNPPYXTp09j8+bN8PT0xJdffmkSv3jxYrRu3RpDhgzBpk2bUKtWLRw9ehTHjh1D27ZtsW/fPpP4Ll264IMPPsBHH32EkJAQdOnSBQEBAUhJSUF8fDz27duHjz/+GPXq1Xtorvv27UNubi569uxZmqcAQP4iS4sXL8amTZvg6OhobFer1Rg+fDi++uorZGdnAwDWrl2LcePGFRoRRkRERPSo2DfPx745++YA++ZEFZogIqpizp07J+bMmSM6deokatasKVQqlVCpVCI4OFhERkaK3377zexzr1+/Lt566y1Rv3594eDgIFQqlQgJCRGjR48W58+fL/a4BoNB/Pjjj6Jnz56iWrVqQqlUCnt7e9GgQQMxYcIEcebMGYtfw2effSYAiCNHjpi0f/fdd6J///4iODhY2NvbC2dnZ9GoUSPx2WefiYyMDJPYmzdviv79+wsPDw8hk8kEABEdHW3M9auvvhL169cXKpVK+Pj4iOHDh4ukpCQRFhYmivrnY8WKFSI0NFTY2toKACIgIMBk+927d8X7778vGjRoIOzs7IRarRa1atUSgwYNEhs3brTodUdGRgoAIiEhodA2c3kJIURAQEChfIQQIjExUQwbNkz4+voKhUIhfH19xbBhw0RiYmKR+/nrr7/ECy+8INRqtXB0dBTPP/+8+Ouvv4rNa+fOneLFF18Unp6ewsbGRvj4+IiWLVuKjz76SFy5csUYt2fPHgFAREVFFdrH0KFDhVKpFElJSUXm9aCEhAQBQERGRhYbl5eXJxo0aCD69+9f5PbMzEzx6quvCicnJ+Hk5CSGDx8usrOzi4yNiooSAMSePXssypGIiIhICPbNC7Bvzr45++ZEFZskxEMmASMiogrn7t27CAoKQr9+/bBs2TJrp0Nl6N69ewgICEDfvn0L3d5qTmJiImrWrInIyEisWLGibBP8x4wZMzBz5kzs2bMH7du3L5djEhEREVUE7JtXHeybE1VdnBOdiKgScnNzw9SpU7Fy5UpcvnzZ2ulQGZo/fz70ej0++uijEj935cqVkCQJPj4+ZZBZvhYtWkCSJMycObPMjkFERERUkbFvXnWwb05UdXFOdCKiSmrixInIzc3FlStXEBAQYO10qIy4ublh1apV8PPzs/g5Li4uiIqKMj5Wq9VlkRoAYMSIEejSpYvxcWBgYJkdi4iIiKiiYt+8amDfnKjq4nQuRERERERERERERERmcDoXIiIiIiIiIiIiIiIzWEQnIiIiIiIiIiIiIjKDRXQiIiIiIiIiIiIiIjNYRCciIiIiIiIiIiIiMoNFdCIiIiIiIiIiIiIiM1hEJyIiIiIiIiIiIiIyg0V0IiIiIiIiIiIiIiIzWEQnIiIiIiIiIiIiIjKDRXQiIiIiIiIiIiIiIjP+H1MP+IlWoaVnAAAAAElFTkSuQmCC", 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" ] @@ -264,12 +208,12 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -284,12 +228,12 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { - "image/png": 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PHyI5OTlPr1GyZEm0aNECp0+fxm+//WZw3y+//IKzZ8+iZcuWWfqjW5qnpydGjhwJrVaLiRMnAhCtWj7++GNcv34dn3/+ebZh+qlTp3D//n0AwLVr13QhfGZy5bmHh4futvDwcGi1WowePdrggMKJEyewePFi+Pv7o2PHjrrb5V7nixcvNlj2mjVrjPo3ln3yySdIT0/HgAEDkJSUZHBfcnKyrqVL0aJF0bVrV+zduxfff/99loMfgJgDIDExEYD4v5JdpX12nwERERERORb2SCciIiKyc99++y1SU1MxY8YMVKpUCc2aNUONGjXg5eWF+/fv48SJE7re2pmriAsXLowVK1agS5cuqFGjBtq0aYNKlSohJSUF165dw86dO9GoUSNdv+78WLFiBVq0aIFu3bph1qxZqF27Njw9PXHjxg3s27cPDx48yHPIXb9+fdSvXx+rVq3CnTt30LBhQ9y4cQPr169H+/btsWbNmizPadmyJQ4fPoy2bduiadOmcHNzQ7NmzdCsWbMcX2f+/Plo0qQJ+vbtiw0bNqBKlSo4ffo01q9fj8KFC2P+/Pn5/jxM8dFHH2HKlClYunQpvvjiC5QtWxYTJkzAkSNH8OOPP2Ljxo1o1qwZgoKCEB0djZMnT+L48ePYt28fgoKCcOzYMXTu3Bn169dHlSpVULRoUURHR+Pvv/+Gk5MThgwZonutESNGYOPGjVi2bBnOnj2LV199Fffv38fKlSuRlpaGBQsWGEye+uabb6Js2bJYvHgxbt68iVq1auHs2bP4999/0a5dO10v8rz6+OOPsXPnTqxatQrly5fHG2+8AT8/P9y4cQNbt27Fr7/+qgvy582bh/Pnz2PEiBFYtmwZXnnlFQQEBODmzZs4fPgwLl68iDt37sDLywvbt2/H8OHD0bhxY1SoUAGBgYG4cuUK1q9fDw8PD3zyySdm+bciIiIiIhskEREREZFDOHLkiPTRRx9JlSpVknx8fCRXV1epSJEiUsuWLaXvv/9eunfvXrbPO3funNSnTx+pVKlSkpubm1SgQAGpevXq0qBBg6SDBw/qHnf16lUJgBQeHp7tcgBIoaGhWW5//Pix9NVXX0nVqlWTPD09JR8fH6l8+fJSjx49pP/7v/8zeGypUqWkUqVK5fge79+/L/Xu3VsqVqyY5OHhIVWvXl2aO3eudOXKlWzHFhcXJ/Xt21cKDg6WnJ2dJQDSuHHjXvh+rl27JvXq1UsKDg6WXFxcpODgYKlXr17StWvXsjw2NDRUymmzOzw8XAIgXb16Ncf3JJPHExYWluNjZs+eLQGQ3n//fd1taWlp0s8//yw1btxY8vPzk9zd3aWSJUtKbdq0kebPny/Fx8dLkiRJN2/elEaNGiU1bNhQCgoKktzc3KSSJUtKnTt3lvbt25flteLj46UxY8ZIFSpUkNzc3KSAgACpbdu20u7du3Mcf8eOHSVfX1/J29tbevXVV6VDhw5J48aNkwBIERERusdGREQY/FtkJyMjQ1q4cKHUsGFDydvbW/Ly8pLKly8v9e/fX7px44bBYxMTE6WpU6dKderUkby9vSVPT08pJCRE6tixo7R06VJJq9VKkiRJZ86ckT777DOpVq1aUmBgoOTu7i6VKVNGCg8Pl06fPp3jWIiIiIjI/mkkKZvzG4mIiIiIiIiIiIiICAB7pBMRERERERERERER5YpBOhERERERERERERFRLhikExERERERERERERHlgkE6EREREREREREREVEuGKQTEREREREREREREeXCRe0B2KOMjAzcvn0bvr6+0Gg0ag+HiIiIiIiIiIiI7IQkSYiLi0OxYsXg5MQ6aaUwSLeA27dvo0SJEmoPg4iIiIiIiIiIiOzUzZs38dJLL6k9DIfBIN0CfH19AQBXr15FwYIFVR4NEVkDrVaLbdu2oXXr1nB1dVV7OERkBbheIKLscN1ARM/jeoGInhcbG4sSJUroMkhSBoN0C5Dbufj6+sLPz0/l0RCRNdBqtfDy8oKfnx83fokIANcLRJQ9rhuI6HlcLxBRTthSWllsokNERERERERERERElAsG6UREREREREREREREuWCQTkRERERERERERESUCwbpRERERERERERERES5YJBORERERERERERERJQLF7UH4OjS09Oh1WrVHgYR5ZOLiwucnZ05UzYRERERERERkR1jkK4SSZJw9+5dPH36VO2hEJGJnJ2dERQUBH9/fwbqRERERERERER2iEG6SuQQPSgoCF5eXgzfiGyQJElIS0tDbGws7ty5g6SkJAQHB6s9LCIiIiIiIiIiMjMG6SpIT0/XheiBgYFqD4eITOTr6wt3d3c8fPgQQUFBcHZ2VntIRERERERERERkRpxsVAVyT3QvLy+VR0JE5uLt7Q1JkjjnARERERERERGRHWKQriK2cyGyH/x7JiIiIiIiIiKyXwzSiYiIiIiIiIiIiIhywSCdiIiIiIiIiIiIiCgXDNKJ7EBkZCQ0Gg0iIyPVHgoREREREREREZHdYZBOZrV48WJoNBrdj4eHBypUqICBAwfi3r17AIBBgwZBo9Hg0qVLOS7nyy+/hEajwYkTJ174mrt370bXrl1RvHhxuLm5wd/fHw0aNMDXX3+te017MW/ePCxevFjtYRARERERERERETkUF7UHQPbp66+/RkhICJKTk7Fnzx7Mnz8fmzZtwqlTp/Duu+9i9uzZWL58OcaOHZvt81esWIHq1avj5ZdfzvV1xo4di4kTJ6JMmTLo2bMnypQpg+TkZPz333+YPn06lixZgsuXL1viLapi3rx5KFSoEHr27Glwe7NmzZCUlAQ3Nzd1BkZERAQgIwOIiwOePgWSk4H0dPGTkZH79bzSaIDatQF/f4u9BSIiIiIiomwxSCeLaNu2LerWrQsA+PDDDxEYGIgZM2Zg3bp16N69O8qVK4cVK1ZkG6Tv27cPV69exeTJk3N9jZUrV2LixIno2rUrli1bliVEnjlzJmbOnGm+N2VmkiQhOTkZnp6eJi/LyckJHh4eZhgVERHZqydPgCtXgMuXDS9jYwEPD8DTU/zkdl2rFSH5kyf6y8zXY2JEOG5JgYHA5MlA796AE8+tJCIiIiI78fgxsH070KQJULy42qOh7DBIJ0W0bNkSM2bMwNWrVwEA7777LiZMmIAjR46gdu3aBo9dvnw5NBoNunfvnusyx44di0KFCuHXX3/NthLb398f48ePz3L75s2b8d133+HIkSNwcnJCs2bNMHXqVFStWlX3mJ49e2LNmjU4f/48PvnkE+zYsQOenp4IDw/HlClT4OzsrHtsRkYGfvzxRyxYsACXL1+Gv78/OnbsiMmTJ6NAgQK6x5UuXRrVqlXDp59+ii+//BKnTp3C5MmTMXjwYCxatAjLli3DqVOnEBMTg7Jly+LTTz/Fxx9/bPD869evAwA0Gg0AIDQ0FJGRkYiMjESLFi0QERGB5s2b656zevVqTJ48GWfOnIG3tzfatGmDKVOmoHimNbIx75WIiKzf2bNAVJQ+LJcD8ydPlBuDuzvg5SWCbmfnrJfP3/bsa+2FnjwBbt8G+vYFFi4E5s0TFepERERERLYmPR04fBjYskX8HDwoilJmzwYGDlR7dJQdBumkCLm9SmBgIAB9kL58+XKDID09PR2rVq1C06ZNUbJkyRyXd+HCBVy4cAEffvghfHx88jyOZcuWITw8HGFhYZgyZQoSExMxf/58NGnSBEePHkXp0qUNxhIWFoYGDRpg2rRp2LFjB6ZPn46yZcsaBNz9+vXD4sWL0atXLwwaNAhXr17FnDlzcPToUURFRcHV1VX32PPnz6N79+7o168f+vbti4oVKwIA5s+fj6pVq+KNN96Ai4sLNmzYgAEDBiAjIwOffPIJAGDWrFn49NNP4ePjgy+//BIAUKRIkRzfqzymevXqYdKkSbh37x5++OEHREVF4ejRowgICDD6vRIRkXVKSgLWrAF+/lmE6DkpWhQoUwYoW1b8lCkDFCgg2rAkJekvc7ru4iIeX6AAEBCQ9bp8aamTpLRaYM4cYNw44MABoG5d4OOPgW++Ea9LRERERGTN7t4Ftm4Vwfm2baIKPbNq1QBvb3XGRi/GIN2aSBKQmKj2KPS8vPJeIvacmJgYPHz4EMnJyYiKisLXX38NT09PdOjQAQBQvnx51KtXDytXrsTUqVPh9Ozc7B07duD+/fuYOHFirss/d+4cAKBatWoGt0uShEePHhncFhAQABcXF8THx2PQoEH48MMP8csvv+juDw8PR8WKFfHdd98Z3J6cnIx33nkHY8aMAQD0798ftWvXxq+//qoLl/fs2YOFCxfijz/+QI8ePXTPbdGiBdq0aYPVq1cb3H7p0iVs2bIFYWFhBmPcuXOnQYuXgQMHok2bNpgxY4YuSO/YsSO++uorFCpUCO+9916un49Wq8XIkSNRrVo17Nq1S9f2pUmTJujQoQNmzpyJCRMmGPVeiYjI+pw+DfzyC7B0qWivAogq7+bNgUqVDEPzkBDb3yh3dQWGDAHeeQf4/HNgxQpRlb56NfD998AHH+R704WIiIiIKEcPHgB794qilago4PhxUTwSGAgULJj1MvN1jQb4918Rnh87Zrhcf3+gVSugTRsgLAx46SVV3h7lEYN0a5KYCBhRXW1x8fH53uN+7bXXDH4vVaoU/vjjD4OWIu+99x4+++wz7Nq1S9eOZPny5XBzc0OXLl1yXX5sbCwAZKlGj4mJQeHChQ1uO3ToEOrWrYvt27fj6dOn6N69Ox4+fKi739nZGQ0aNEBERESW1+nfv7/B702bNsWyZct0v69evRr+/v5o1aqVwTLr1KkDHx8fREREGATpISEhWUJ0AAYhekxMDLRaLUJDQ7F161bExMTA38hZ1Q4fPoz79+9j/PjxBr3T27dvj0qVKmHjxo0GQXpe3isREVmHpCQRHP/8s9iYl5UqJVqe9OoFFCum3viUUKwYsHy5eL+ffCLa2fTsKdq9zJ0LvGCuciIiIiKiHEkScOECsGePPji/cCHr4xISgOdqOfOkbl0RnLdpAzRoIM76JNvAfyqyiLlz56JChQpwcXFBkSJFULFiRV3Vuaxbt24YOnQoli9fjubNmyM5ORl//fUX2rZta9BbPDu+vr4AgPj4eIPbfXx8sH37dgDAtm3b8P333+vuu3jxIgDRrz07fn5+Br97eHhkCeULFCiAJ5mazF68eBExMTEICgrKdpn37983+D0kJCTbx0VFRWHcuHHYt28fEp87KyE/QbrcS11uHZNZpUqVsGfPHoPb8vJeiYhIXadOierzZcsMq8/feAP46CNRyeJo01q0aCGqembNAiZMEDs7tWsDn34qfn/uq52IiIiIHIgkAbt2AXfuiH7kL/pJTBQ9y/fuBTLVSupUqQI0bix+6tcXz3n8WPw8epT1unyZmCgC87ZtxTZ7DhES2QAG6dbEy0tUgVsLL698P7V+/fqoW7duro8JCgpCq1atsHbtWsydOxcbNmxAXFwc3n333Rcuv1KlSgCAU6dOGdzu4uKiq4a/deuWwX0ZGRkARJ/0okWLZlmmy3OHAPMyyWZGRgaCgoLwxx9/ZHv/8+F05spz2eXLl/Hqq6+iUqVKmDFjBkqUKAE3Nzds2rQJM2fO1I3bkjihKBGRdZIkYPNmYMoUsRMgK11aX30eHKza8KyCmxswYgTQvTswdKjoFT9rFvDnn8CqVUDTpmqPkIiIiIjUsGMH0Lp1/p7r4QHUq6cPzhs1Em1ayLExSLcmGo3tNy810rvvvostW7Zg8+bNWL58Ofz8/PD666+/8HkVK1ZE+fLl8ffff2PWrFnwzsPnVrZsWQAiwH++9Ux+lS1bFjt27EDjxo2zDcnzYsOGDUhJScH69esNJljNrtWMJo+NX0uVKgVATG76fAX++fPndfcTEZF1SksDVq4UAfrJk+I2FxdRfd6vH/Daa8BzJ3o5vBIlRMubrVtFRfrFi8BnnwFHjqg9MiIiIiJSw9Gj4rJYMVFN7uyc+4+LC1C1KtCkiTjL0c1N3fGT9eEuGKmqY8eO8PLywrx587B582Z07tzZoKd3bsaPH4+HDx+ib9++0Gq1We6XJMng97CwMPj5+eG7777L9vEPHjwwevxdu3ZFenp6tpOjpqWl4al87n0u5GrwzOONiYnBokWLsjzW29s7T8usW7cugoKC8NNPPyElJUV3++bNm3H27Fm0b9/+hcsgIiLlJSYCc+YA5csD770nQnQfH2DYMODqVWDtWlFVwxA9Z2FhwM6d4vqxYwC7lBERERE5pmddb9GrF7B9u5jsc+NGYP164K+/xJmMK1eKuXeWLQMWLRIT2jdsyBCdsseKdFKVj48POnbsiOXLlwNAntq6yHr06IFTp05h0qRJOHjwILp164aQkBAkJCTg1KlTWLFiBXx9fXX91v38/DB//ny8//77qF27Nrp164bChQvjxo0b2LhxIxo3bow5c+YYNf7Q0FD069cPkyZNwrFjx9C6dWu4urri4sWLWL16NX744Qe8/fbbuS6jdevWcHNzw+uvv45+/fohPj4eCxYsQFBQEO7cuWPw2Dp16mD+/Pn45ptvUK5cOQQFBWXb893V1RVTpkxBr169EBoaiu7du+PevXv44YcfULp0aQwZMsSo90lERJb1+LGYJPPHH/X9GAsXFhXVAwYAL5g6hJ4THCwORly8KCaH6tBB7RERERERkdKuXROXpUurOQqyJwzSSXXvvvsuli9fjuDg4BwnAs3Jd999h7CwMMyZMwe//fYbHj58CE9PT1SoUAHDhg1D//79Dfqh9+jRA8WKFcPkyZPx/fffIyUlBcWLF0fTpk3Rq1evfI3/p59+Qp06dfDzzz/jiy++gIuLC0qXLo333nsPjRs3fuHzK1asiDVr1uCrr77C559/jqJFi+Ljjz9G4cKF0bt3b4PHjh07FtevX8fUqVMRFxeH0NDQHD+znj17wsvLC5MnT8bIkSPh7e2NTp06YcqUKQgICMjXeyUiIvN6+NADw4c7YeFCICFB3BYSIiphevUC8tk1jACEhoogfedOBulEREREjohBOpmbRnq+/4WdmjJlCkaNGgUA2LdvHxo2bGhwf2xsLMaPH4+1a9fi7t27CA4ORpcuXTBu3Dj4+PgY9VqxsbHw9/fHw4cPERgYmOX+5ORkXL16FSEhIXluY0JE1u1Ff9darRabNm1Cu3bt4OrqqsIIichaSBKwdy8wd24GVq8G0tJEn5YaNYBRo4C33xb9Gck0v/8OvP++mCTq4EG1R0OUd9xmIKLncb1AZDxJAnx9RbHKhQvibEV7ImePMTEx8PPzU3s4DsMhdtNOnTqFcePGwdvbGwlyuVcmCQkJCA0N1bXm6N69O44ePYpp06Zh586d2LVrFwNvIiIiMklcnAh358+XJxAVAXpoaAZGj3ZC69Zi3nEyj2bNxOWRI+Kz9/VVdzxEREREpJxHj/RnfJYsqe5YyH7Y/VRVWq0W4eHhqFmzJjp16pTtY6ZOnYpjx45h5MiR2Lp1KyZPnoytW7di5MiROHToEGbOnKnwqImIiMhenDgBfPwxUKyY6Hd+8qRo2dKzZwamTduJ7dvTERbGEN3cSpYUp/Gmp4szAIiIiIjIcchtXYoVA9zdVR0K2RG7D9K//fZbnD59Gr/99hucnZ2z3C9JEhYuXAgfHx+MGTPG4L4xY8bAx8cHCxcuVGq4REREZAeSk0X1eePGomXLTz8B8fFApUrArFlAdDTwyy/pKFfuqdpDtWuhoeJy5051x0FEREREypKD9FKlVB0G2Rm7DtKPHDmCb7/9FuPGjUOVKlWyfczFixdx+/ZtNG7cGN7e3gb3eXt7o3Hjxrhy5Qpu3rypxJCJiIjIht2/D4wYAbz0kujPvXev6HfepQvw77/AmTPAZ58BBQqoPVLHILd32bVL3XEQERERkbKuXxeXnGiUzMlue6SnpKTggw8+QM2aNTFixIgcH3fx4kUAQPkcZh0oX748tm7diosXL6JEiRI5vlZKSoru99jYWACirYxWq83yeK1WC0mSkJGRgYyMjDy/JyKyXhkZGZAkCVqtNtuzX+R1QXbrBCKyD3FxQPPmLjh7VvRoKVFCQp8+GejVKwPBweIxaWn6x3O9YHmNGgGAKw4elBATkwYvL7VHRPRiXDcQ0fO4XiAy3pUrTgCcUaJEOrRa+8veuD5Qh90G6WPHjsXFixfx33//ZRtqyWJiYgAA/v7+2d4vz3wrPy47kyZNwoQJE7LcHhERAa9s9thcXFxQtGhRxMfHIzU1Ndf3QUS2ITU1FUlJSdi1axfSMidlz9m+fbuCoyIipUgSMGVKPZw9WwwFCyahf/8TqFPnHpydJRw9Chw9mvNzuV6wHEkCAgNb49EjT/z440G8/PJDtYdElGdcNxDR87heIMq7gwcbACiKuLiT2LTputrDMbvExES1h+CQ7DJI37dvH6ZNm4bx48ejWrVqFn+90aNHY+jQobrfY2NjUaJECbRo0QKBgYFZHp+cnIybN2/Cx8cHHh4eFh8fEVlecnIyPD090axZs2z/rrVaLbZv345WrVrB1dVVhRESkSVNmeKE/fud4eoqYd06VzRoUPuFz+F6QRmvveaMlSuB1NSGaNfO/qqRyP5w3UBEz+N6gch4X30lIs/27auhdeuqKo/G/ORuGKQsuwvS09LSEB4ejpdffhmjRo164ePlSvScKs7l/5g5VawDgLu7O9yzmQLY1dU12y+59PR0aDQaODk5wcnJrtvUEzkMJycnaDSaHP/uZS+6n4hsz5YtwNix4vrcuRo0aWLc5hXXC5bVogWwciWwZ48zXF1zPkuRyNpw3UBEz+N6gShvJEnfI71cORfY458N1wXqsLsgPT4+Xtf33M3NLdvHvPLKKwCAv/76SzcJqfyc572ohzoRERE5rsuXge7dxcb6Rx8BffuqPSJ6XmiouNy/H0hJAbKpfSAiIiIiO/LkiZi/CABKllR3LGRf7C5Id3d3R58+fbK9b9euXbh48SLeeOMNFC5cGKVLl0b58uVRrFgxREVFISEhAd7e3rrHJyQkICoqCiEhITlONEpERESOKSEB6NQJePoUaNgQ+PFHtUdE2alYEQgKAu7fBw4dApo0UXtERERERGRJcjV6kSKAp6e6YyH7YndBuqenJxYuXJjtfT179sTFixcxevRoNGzYUHf7hx9+iK+//hoTJ07E5MmTdbdPnDgR8fHx+OKLLyw+biIiIrIdkgT06QOcPCk20NesYaWztdJogGbNxL/Rzp0M0omIiIjs3bVr4rJ0aTVHQfaIDboBjBgxAjVq1MCUKVMQFhaG0aNHIywsDFOmTEG9evUwePBgtYdIREREVmTGDNF328VFBLTFi6s9IsqN3N5l1y51x0FERERElscgnSyFQToAb29v7Ny5E4MHD8bZs2cxffp0nDt3DsOGDcM///wDT54HopjIyEhoNBpERkZa9TLJejVv3hzNmzdXexhEZMd27ABGjBDXZ81ihbMtaNZMXEZFAVqtumMhIiIiIsuSW7uUKqXuOMj+OFSQvnjxYkiSZNDWRebv74+ZM2fixo0bSE1NxfXr1zFt2jT4+vqqMFLbtGrVKmg0Gvz1119Z7qtRowY0Gg0iIiKy3FeyZEk0atRIiSHmavHixdBoNNn+jBo1Su3hvVBsbCy+/fZb1K1bF/7+/nB3d0epUqXwzjvvYOPGjWoPz6zOnDmD8ePH45p8mJmISCHXrgHdugEZGUDPnsCAAWqPiPKiWjWgYEHR1/7IEbVHQ0RERESWxIp0shS765FuTWbOdMLXXwNODnK4osmzkrw9e/agU6dOuttjY2Nx6tQpuLi4ICoqCi1atNDdd/PmTdy8eRPdunUDADRr1gxJSUlwc3NTdvCZfP311wgJCTG4rVq1aiqNJm8uXbqEsLAwXL9+HZ06dcIHH3wAHx8f3Lx5E5s2bUKHDh2wdOlSvP/++2oP1SzOnDmDCRMmoHnz5ij93Dfjtm3b1BkUEdm9pCSgc2fg0SOgbl1g/nzRf5usn5MT0LQpsG6daO/SoIHaIyIiIiIiS2GQTpbCIN2Cvv3WGQcOAMuWAUWLqj0ayytWrBhCQkKwZ88eg9v37dsHSZLQpUuXLPfJv8shvJOTEzw8PJQZcA7atm2LunXrmnWZCQkJ8Pb2NusyZWlpaejUqRPu3buHnTt3onHjxgb3jxs3Dtu2bUN6erpFXt8czPn5qHkQhojslyQBH30EHD0KFC4M/N//ASp/XZGRmjUTQfrOncDw4WqPhoiIiIgsha1dyFIcpFZaHZ6eEnbsAGrUABylSLZJkyY4evQokpKSdLdFRUWhatWqaNu2Lfbv34+MjAyD+zQajS78za6fefPmzVGtWjWcOXMGLVq0gJeXF4oXL46pU6dmef1bt26hY8eO8Pb2RlBQEIYMGYKUlBSzvLfr169jwIABqFixIjw9PREYGIguXbpkaS8it4jZuXMnBgwYgKCgILz00ksG7+XEiRMIDQ2Fl5cXypUrhzVr1gAAdu7ciQYNGsDT0xMVK1bEjh07Xjiu1atX49SpUxgzZkyWEF3WunVrtG3b1uC2p0+fYvDgwShRogTc3d1Rrlw5TJkyxeDf59q1a9BoNJg2bRp++eUXlC1bFu7u7qhXrx4OHTqU5XXOnTuHt99+GwULFoSHhwfq1q2L9evX5/nzyctnvHjxYnTp0gUA0KJFC137Hfn/THY90u/fv48+ffqgSJEi8PDwQI0aNbBkyRKDxxj7XonIscyeDfz+O+DsDKxaBZQoofaIyFjyhKO7dwNWfGyZiIiIiEzw9Kn4ARikk/mxIt2CduxIQ//+wMmTQFgYMHIkMHFizo+XJCAxUbnxvYiXl/GnrDdp0gTLli3DgQMHdGFmVFQUGjVqhEaNGiEmJganTp3Cyy+/rLuvUqVKCAwMzHW5T548QZs2bdC5c2d07doVa9aswciRI1G9enVdQJyUlIRXX30VN27cwKBBg1CsWDEsW7YM//77r1HvISYmBg8fPjS4rVChQjh06BD27t2Lbt264aWXXsK1a9cwf/58NG/eHGfOnIGXl5fBcwYMGIDChQtj7NixSEhIMHgvHTp0QLdu3dClSxfMnz8f3bp1wx9//IHBgwejf//+6NGjB77//nu8/fbbuHnzZq69+jds2AAAeO+99/L8HhMTExEaGoro6Gj069cPJUuWxN69ezF69GjcuXMHs2bNMnj88uXLERcXh379+kGj0WDq1Kno3Lkzrly5AldXVwDA6dOn0bhxYxQvXhyjRo2Ct7c3Vq1ahY4dO2Lt2rUG7X5y+nzy8hk3a9YMgwYNwo8//ogvvvgClStXBgDd5fOSkpLQvHlzXLp0CQMHDkRISAhWr16Nnj174unTp/jss8+Mfq9E5Fh27QKGDhXXp00DOJ+xbapZE/D1BWJjgRMngFq11B4REREREZmbXI1euDBgocYA5MgkMruYmBgJgPTw4UMpMVGSPv5YkkRMLkkNG0rSpUtJ0pkzZ6SkpCSD58XH6x9nDT/x8ca/99OnT0sApIkTJ0qSJElarVby9vaWlixZIkmSJBUpUkSaO3euJEmSFBsbKzk7O0t9+/bVPT8iIkICIEVEROhuCw0NlQBIS5cu1d2WkpIiFS1aVHrrrbd0t82aNUsCIK1atUp3W0JCglSuXLksy8zOokWLJADZ/kiSJCUmJmZ5zr59+7KMTV5OkyZNpLS0NIPHy+9l+fLlutvOnTsnAZCcnJyk/fv3627funWrBEBatGhRruOuVauWFBAQkOX2+Ph46cGDB7qfmJgY3X0TJ06UvL29pQsXLhg8Z9SoUZKzs7N048YNSZIk6erVqxIAKTAwUHr8+LHucevWrZMASBs2bNDd9uqrr0rVq1eXkpOTdbdlZGRIjRo1ksqXL5+nzyevn/Hq1atz/DcNDQ2VQkNDdb/L/y9+//133W2pqanSK6+8Ivn4+EixsbFGv9fsJCVl/3ed+TX//vtvKTU1NdflEJF1SU+XpGrVxPdijx6SlJFhvmVzvaC8tm3Fv+XMmWqPhChnXDcQ0fO4XiDKu3XrxPZe3bpqj8Sy5Owxc9ZDlsfWLhbm6QnMmwesWQMEBAD79wMdO1pX5bk5Va5cGYGBgbre58ePH0dCQgIaNWoEAGjUqBGioqIAiN7p6enpuv7oufHx8TGouHZzc0P9+vVx5coV3W2bNm1CcHAw3n77bd1tXl5e+Oijj4x6D3PnzsX27dsNfgDA09NT9xitVotHjx6hXLlyCAgIwJEjR7Isp2/fvnB2ds72vciTqwJAxYoVERAQgMqVK6NBptnP5OuZ32N2YmNj4ePjk+X2L7/8EoULF9b99OjRQ3ff6tWr0bRpUxQoUAAPHz7U/bz22mtIT0/Hrl27DJb1zjvvoECBArrfmzZtajC2x48f499//0XXrl0RFxenW96jR48QFhaGixcvIjo6+oWfj7GfcV5s2rQJRYsWRffu3XW3ubq6YtCgQYiPj8fOnTuNeq9E5FjWrAFOnQL8/YE5czi5qK2T27s8t+onIiIiIjvBiUbJktjaRSFvvQXUqQP06AHcvg08eABERwMhIYDTs8MZXl5AfLy648zsuU4leaLRaNCoUSPs2rULGRkZiIqKQlBQEMqVKwdABOlz5swBAF2gnpcg/aWXXoLmufSiQIECOHHihO7369evo1y5clkeV7FiRaPeQ/369bOdbDQpKQmTJk3CokWLEB0dDUmSdPfFxMRkeXxISEie34u/vz9KPNdw19/fH4BoBZMbX19fPHr0KMvtAwYMQIcOHQBkbfty8eJFnDhxAoULF852mffv3zf4vWTJkga/y0GzPLZLly5BkiSMGTMGY8aMyXGZxYsX1/2e3edj7GecF9evX0f58uXh5GR43FBuBXNdPu/rmRe9VyJyHOnpwIQJ4vrgwUCmY2xko5o1E5e7dwMZGfptMCIiIiKyDwzSyZIYpCuodGlRATVtmvj9yRMgORmoUAFwdRVVbvbQv6lJkybYsGEDTp48qeuPLmvUqBGGDx+O6Oho7NmzB8WKFUOZMmVeuMzsKrsBGAStlvbpp59i0aJFGDx4MF555RX4+/tDo9GgW7duBhN0yjJXV2eW03vJ73usVKkSjh07hujoaIOgukKFCqhQoQIAwMPDw+A5GRkZaNWqFUaMGJHtMuXn5XVs8vv//PPPERYWlu1j5YMpsuw+H2M/Y0uwhv9rRGQdVq8GzpwR1eiDB6s9GjKHunVFocCjR+Lftlo1tUdEREREROYkB+mcaJQsgUG6wlxdgSFDxM6bkxOQlAQ8fAgEB6s9MvORK8z37NmDqKgoDM6UPtSpUwfu7u6IjIzEgQMH0K5dO7O9bqlSpXDq1ClIkmRQ8X3+/HmzLH/NmjUIDw/H9OnTdbclJyfjqTwdtEo6dOiAP//8E3/88UeOwfjzypYti/j4eLz22mtmGYN8MMTV1dWkZeb1M36+oj83pUqVwokTJ5CRkWFQlX7u3Dnd/UREz8tcjT50qGjPRrbP1RVo1AjYsUMUNzBIJyIiIrIv8knnrEgnS+AJrSrx9NTvlGu1qg7F7OrWrQsPDw/88ccfiI6ONqhId3d3R+3atTF37lwkJCTkqa1LXrVr1w63b9/GmjVrdLclJibil19+McvynZ2ds1Qlz549G+np6WZZfn517doVVapUwcSJE7F///5sH/P8uLt27Yp9+/Zh69atWR779OlTpKWlGTWGoKAgNG/eHD///DPu3LmT5f4HDx7kaTl5/Yy9n526kZeDGO3atcPdu3excuVK3W1paWmYPXs2fHx8ECo3zCUiymTlSuDcOfFd/dlnao+GzElu7/LcdCBEREREZAfY2oUsiRXpKpKLY1XOYc3Ozc0N9erVw+7du+Hu7o46deoY3N+oUSNdxbE5g/S+fftizpw5+OCDD/Dff/8hODgYy5Ytg1d+mr1no0OHDli2bBn8/f1RpUoV7Nu3Dzt27EBgYKBZlp9frq6u+OuvvxAWFoYmTZqgc+fOaNq0Kby9vREdHY3169fjxo0baN++ve45w4cPx/r169GhQwf07NkTderUQUJCAk6ePIk1a9bg2rVrKFSokFHjmDt3Lpo0aYLq1aujb9++KFOmDO7du4d9+/bh1q1bOH78+AuXkdfPuGbNmnB2dsaUKVMQExMDd3d3tGzZEkFBQVmW+dFHH+Hnn39Gz5498d9//6F06dJYs2YNoqKiMGvWLPj6+hr1PonI/qWnA19/La4PGyZau5D9yDzhqCRxAlkiIiIiexEXBzx+LK7z5HOyBAbpKpJbMdtbkA6IgHz37t26Vi6ZNW7cGNOnT4evry9q1Khhttf08vLCP//8g08//RSzZ8+Gl5cX3n33XbRt2xZt2rQxefk//PADnJ2d8ccffyA5ORmNGzfGjh07cuwJrqQKFSrg2LFj+PHHH/HXX39h8+bNSE1NRZEiRdCgQQOMGzdON/EoID6rnTt34rvvvsPq1auxdOlS+Pn5oUKFCpgwYYJuolNjVKlSBYcPH8aECROwePFiPHr0CEFBQahVqxbGjh2bp2Xk9TMuWrQofvrpJ0yaNAl9+vRBeno6IiIisg3SPT09ERkZiVGjRmHJkiWIjY1FxYoVsWjRIvTs2dPo90lE9m/FCuD8eaBgQWDQILVHQ+ZWvz7g7g7cuwdcvCjmqiEiIiIi2ye3dSlYEGDNHFmCRuIMemYXGxsLf39/PHz4MNtq5eTkZFy9ehUBASGIjvaAry9QsaIKAyUis5H/rkNCQrJM7goAWq0WmzZtQrt27eDq6qrCCIkoL9LSgCpVRMD67bfAF19Y7rW4XlBPaKho7fLLL0DfvmqPhsgQ1w1E9DyuF4jy5n//A15/HahdG/jvP7VHY1ly9hgTEwM/Pz+1h+Mw2CNdRfZckU5ERGSLli8XIXpgIPDpp2qPhiwlc3sXIiIiIrIP7I9OlsYgXUUM0omIiKxHWhowcaK4/vnnPB3Unj3fJ52IiIiIbJ/c2oX90clSGKSryF4nGyUiIrJFv/8OXLoEFCoEDByo9mjIkho2BFxcgFu39JVLRERERGTbWJFOlsYgXUWsSCciIrIOWq2+Gn3ECMDHR93xkGV5ewP16onrbO9CREREZB8YpJOlMUhXkVyRLklARoa6YyEiInJky5YBV64AQUHAgAFqj4aUILd32bVL3XEQERERkXmwtQtZGoN0FTk56ZtysiqdyLZJbLJLZLO0WuCbb8T1ESNEtTLZv2bNxCUr0omIiIhsX0IC8OCBuM4gnSyFQboKXF1dAQBJSYnsk05kJxISEqDRaHR/30RkO5YsAa5eBYoUAT7+WO3RkFIaNxZnB165InqlExEREZHtkqvRAwLED5EluKg9AEfk7OyMgIAA3L9/H05OQEaGFxITNWoPi4iMJEkS0tLSEBsbi9jYWAQEBMBZnvyAiGxCaqq+Gn3kSMDLS93xkHL8/IDatYHDh0V7lx491B4REREREeUX27qQEhikq6Ro0aIAgOPH70OSxMSjHh4qD4qI8sXZ2RnBwcHw9/dXeyhEZKTFi8VGd9GiQP/+ao+GlNasmQjSd+5kkE5ERERkyzjRKCmBQbpKNBoNgoOD8e67Qbh8WYs5c4BWrdQeFREZy8XFBc7OztBoeFYJkdokCbh5EyhcGPD0fPHjU1KAb78V10eNyttzyL6EhgIzZrBPOhEREZGtY5BOSmCQrjJ3d2fcuOGMR49YkU5ERGSKpUuBnj3FWV7VqgF16wL16onL6tUBNzfDx//2G3DjBhAcDHz0kSpDJpU1bQpoNMD588C9e6JPPhERERHZHrZ2ISUwSFeZ3AkiJkbdcRAREdm6v/8Wl+npwPHj4ufXX8Vtbm5AjRr6cL1mTeC778R9o0ezGt1RFSggDrKcOCH6pHfpovaIiIiIiCg/WJFOSmCQrjIG6URERKaTJGD/fnF99WrAxQU4dEj0vz58GHj8WPx+6BAwf77+ecWLA337qjNmsg6hoSJI37mTQToRERGRrWKQTkpgkK4yOUiPjVV3HERERLbsxg3g7l0RoLdvLyrMO3YU90kScPWqCNTlcP2//4C4ONEjna3VHFuNGuLyyhV1x0FERERE+ZOUJNr0AWztQpbFIF1lrEgnIiIynVyNXqtW1jYtGg1Qpoz46dpV3JaRIb57CxRQdpxkfeRtsbg4dcdBRERERPlz44a49PXl9j1ZlpPaA3B0fn7ikkE6ERFR/slBesOGeXu8kxM3skmQt8V4diARERGRbcrc1kWjUXMkZO8YpKuMFelERESmMzZIJ5L5+opLVqQTERER2SY5SGdbF7I0BukqY5BORERkmpQU4MgRcZ1BOhmLFelEREREtu36dXHJiUbJ0hikq4yTjRIREZnm6FEgNRUoXBgICVF7NGRrGKQTERER2bbMrV2ILIlBuspYkU5ERGSazG1d2BORjCW3dtFqxdkNRERERGRb2NqFlMIgXWWcbJSIiMg0cpD+yivqjoNskxykA6xKJyIiIrJFbO1CSmGQrjK5Ij0hAUhLU3csREREtogTjZIpnJ0BLy9xnUE6ERERkW1JSQFu3xbXGaSTpTFIV5kcpAPceSMiIjLWnTuiAsXJCahbV+3RkK2SzxCMi1N3HERERERknBs3xKW3NxAYqO5YyP4xSFeZqyvg6SmuM0gnIiIyjlyNXq2aYYsOImNwwlEiIiIi2yS3dSlVivMlkeUxSLcCnHCUiIgof9jWhcxBPgjDinQiIiIi2yJPNMq2LqQEBulWgBOOEhER5Q+DdDIHVqQTERER2SYG6aQkBulWgBXpRERExktLAw4dEtcZpJMpGKQTERER2abMrV2ILI1BuhVgkE5ERGS8kyeBpCQgIACoWFHt0ZAtY2sXIiIiItvEinRSEoN0KyAH6ayCIiIiyju5rUuDBoATt2jIBKxIJyIiIrJNDNJJSdzttAKsSCciIjLevn3ikm1dyFQM0omIiIhsT2oqEB0trrO1CymBQboV4GSjRERExuNEo2QubO1CREREZHtu3QIkCfDwAIKC1B4NOQIG6VaAFelERETGefQIuHhRXK9fX92xkO1jRToRERGR7cnc1kWjUXMk5CgYpFsBBulERETGOXBAXFasCBQsqO5YyPbJFekM0omIiIhshxyks60LKYVBuhXgZKNERETGYVsXMie5Ip2tXYiIiIhsx/Xr4pITjZJSGKRbAVakExERGUcO0l95Rd1xkH1gaxciIiIi25O5tQuREhikWwFONkpERJR3GRn61i6sSCdz4GSjRERERLaHrV1IaQzSrQAr0omIiPLu7FlROeztDVStqvZoyB6wIp2IiIjI9rC1CymNQboVYJBORESUd3Jbl3r1ABcXdcdC9iFzkC5J6o6FiIiIiF4sLQ24dUtcZ5BOSmGQbgUyTzbKnTciIqLccaJRMje5tUtGBpCUpO5YiIiIiOjFbt0C0tMBNzegSBG1R0OOgkG6FZCDdEkC4uPVHQsREZG1Y5BO5ubtDWg04jrbuxARERFZP7mtS6lSgBPTTVII/6tZAQ8P/anpbO9CRESUs9hY4PRpcZ1BOpmLk5O+Kp1BOhEREZH1kycaZVsXUhKDdCug0bBPOhERUV4cOiTO4AoJ4SmcZF5ykB4Xp+44iIiIiOjF5CC9VClVh0EOhkG6lWCQTkRE9GL79olLVqOTuWWecJSIiIiIrJvc2oUV6aQkBulWIvOEo0RERJQ99kcnS2GQTkRERGQ72NqF1MAg3UqwIp2IiCh3ksQgnSyHrV2IiIiIbAeDdFIDg3QrIVdBMUgnIiLK3uXLwKNHgLs7ULOm2qMhe8OKdCIiIiLbkJ4O3LwprrNHOimJQbqVYEU6ERFR7uRq9Nq1ATc3dcdC9ocV6URERES24fZtIC0NcHUFgoPVHg05EgbpVoJBOhERUe7Y1oUsiRXpRERERLZBbutSsiTg7KzqUMjBMEi3EpxslIiIKHdykP7KK+qOg+wTg3QiIiIi2yAH6WzrQkpjkG4lWJFORESUs8RE4PhxcZ0V6WQJbO1CREREZBuuXxeXnGiUlMYg3UpwslEiIqKc/fef6INYrBjw0ktqj4bsESvSiYiIiGyDXJHOIJ2UxiDdSrAinYiIKGeZ+6NrNOqOhewTg3QiIiIi28DWLqQWBulWgkE6ERFRzjjRKFkaW7sQERER2Qa2diG1MEi3EpxslIiIKHuSBOzbJ64zSCdLYUU6ERERkfXLyGCQTuphkG4lWJFORESUvVu3gDt3ABcXoE4dtUdD9opBOhEREZH1u3MH0GoBZ2cxfxKRkhikW4nMk41KkrpjISIisiZyNXqNGoCXl7pjIfvF1i5ERERE1k+uRi9RQhTaECmJQbqVkCvStVogOVndsRAREVkT9kcnJchFDXFx4pRhIiIiIrI+9+6Jy+BgdcdBjolBupXw8QE0GnGd7V2IiIj0GKSTEuSKdABISFBvHERERESUM7kNn1yQSqQkBulWwsmJvTmJiIiel5ICHDkirjNIJ0vy9BS9NgFuixERERFZK7n4VM7QiJTEIN2KcMJRIiIiQ8ePizA9MBAoW1bt0ZA902hY1EBERERk7ViRTmpikG5FMk84SkRERMDhw+KyQQN9CzQiS+GEo0RERETWjRXppCYG6VaEFelERESG7twRlyEh6o6DHAMr0omIiIisGyvSSU0M0q0Ig3QiIiJDjx6Jy8BAdcdBjoFBOhEREZF1k7fTWJFOamCQbkXkIJ07b0RERAKDdFISW7sQERERWTe5+JQV6aQGBulWhBXpREREhhikk5JYkU5ERERk3ViRTmpikG5FONkoERGRIQbppCQG6URERETWjRXppCa7DNKTk5MxdOhQNGvWDMWKFYOHhweKFi2Kxo0bY9GiRdBqtVmeExsbi6FDh6JUqVJwd3dH6dKlMXz4cMTHxys2blakExERGWKQTkpiaxciIiIi68aKdFKTXQbp8fHxmD9/PjQaDdq3b4+hQ4eiU6dOiI6ORu/evdGhQwdkZGToHp+QkIDQ0FDMnDkTlSpVwpAhQ1CxYkVMmzYNLVu2RHJysiLjZpBORERkSA7SCxZUdxzkGFiRTkRERGTdWJFOanJRewCWULBgQcTExMDNzc3g9rS0NLRq1Qrbtm3D5s2b0b59ewDA1KlTcezYMYwcORKTJ0/WPX7UqFGYMmUKZs6cidGjR1t83JxslIiISC85GUhMFNdZkU5KYEU6ERERkfWSJFakk7rssiLdyckpS4gOAC4uLujUqRMA4NKlSwAASZKwcOFC+Pj4YMyYMQaPHzNmDHx8fLBw4ULLDxqsSCciIspMrkZ3dmbFCSmDFelERERE1is+XoTpAPcPSB12WZGek4yMDGzZsgUAUK1aNQDAxYsXcfv2bYSFhcHb29vg8d7e3mjcuDG2bt2KmzdvokSJEtkuNyUlBSkpKbrfY5/tfWm12mz7sefEy0sDwAVPn0rQatOMeWtEZOXkdYEx6wQiR3f3LgC4omBBCWlp9ve9yPWC9ZG3xWJiMqDVpqs9HHJQXDcQ0fO4XiASRKGNK1xcJDg7p8GR/yS4PlCHXQfpqamp+O677yBJEh49eoR//vkH586dQ69evfDqq68CEEE6AJQvXz7bZZQvXx5bt27FxYsXcwzSJ02ahAkTJmS5PSIiAl5eXnke75UrfgBa4MGDFGzatDXPzyMi27F9+3a1h0BkM06eLASgMdzd47Fp079qD8diuF6wHufPFwHQELduxWLTpp1qD4ccHNcNRPQ8rhfI0d286QugJTw9tdi8ebPaw1FVotwDkxRl90F65oBbo9Hg888/x6RJk3S3xTzro+Kfwzkhfs/O8Y3Jpd/K6NGjMXToUN3vsbGxKFGiBFq0aIFAI5q6Xr0KDB0KJCe7o127dnl+HhFZP61Wi+3bt6NVq1ZwdXVVezhENiEpSQMAKFnS2y6/F7lesD5+fhp88w2g0fjb5f85sg1cNxDR87heIBIOHBD7B4UKuTr8tlosexGqwq6DdB8fH0iShIyMDNy+fRsbNmzAF198gX379mHTpk26kNxU7u7ucHd3z3K7q6urUV9yhQqJSxEcuILfj0T2x9j1ApEjk49hFyrkBFdXu5zWBQDXC9akYEFxGRen4b8JqY7rBiJ6HtcL5OgSEsSlnx+31Rz9/avFfvdKM3FycsJLL72Ejz/+GL/88guioqLw7bffAtBXoudUcS4f4cmpYt2cMuf6PLBERESOTp5s1IiTu4hM4usrLuPi1B0HEREREWUlZ2WcaJTU4hBBematW7cGAERGRgLQ90aXe6U/70U91M3JxQWQW6rn0kmGiIjIITBIJ6XJRQ2JiYAdzm9LREREZNPkrMxMDSaIjOZwQfrt27cB6E+BKF++PIoVK4aoqCgkyOeIPJOQkICoqCiEhITkONGouclH1RikExGRo2OQTkqTK9IBVqUTERERWRtWpJPa7DJIP3PmTLaz1yYmJuomBZUnJdBoNPjwww8RHx+PiRMnGjx+4sSJiI+PR9++fS0/6GcYpBMREQkM0klp7u6Am5u4ziCdiIiIyLrIQTor0kktdjnZ6KpVqzBjxgw0adIEpUuXhp+fH6Kjo7F582Y8evQITZs2xZAhQ3SPHzFiBNatW4cpU6bg6NGjqF27No4cOYJt27ahXr16GDx4sGJjl4N09kgnIiJHxyCd1ODnBzx8mMO22NGjwNChwBdfAK1aKT42IiIiIkcmF52yIp3UYpdBeocOHXD79m3s3bsX+/btQ3x8PPz9/fHyyy+jW7du6N27N1xc9G/d29sbO3fuxPjx47F27VpEREQgODgYw4YNw7hx4+Dp6anY2FmRTkREJDBIJzXIQXqWivSnT4HOnYFr14CrV4Hz50UJOxEREREpghXppDa7DNLr1q2LunXrGvUcf39/zJw5EzNnzrTQqPJGXhkwSCciIkfHIJ3UIPdJN6hIlySgb18RogPA9evAwoXAJ58oPTwiIiKyBUePAlu2AEOGAB4eao/GbrAindRmlz3SbRkr0omIiICMDODJE3GdQTopSS5qMAjSf/kFWLMGcHERgToAfPMNkM2cPETkYJKTgTffBPr0EQfdiIiuXAFefVW0gpswQe3R2BVWpJPaGKRbGQbpREREootGRoa4ziCdlCRXpOtau5w8Ccjz5UyeDMyZA5QuDdy9C8ydq8IIiciqTJ0KrF8P/PYb8Oefao+GiNSWkAB07KivCJk+Hbh4UdUh2RNWpJPaGKRbGU42SkREpG/r4uMDuLmpOxZyLAYV6QkJwDvviIrTtm3F6dlubsC4ceJBkydzo43IkV29CkyapP99+HAgPl698RCRuiQJ6N1bHIQvUgRo2hTQavUH5MlkrEgntTFItzKsSCciImJ/dFKPQZD+2WfA2bNAcDCwZAng9GzT+b33gIoVgcePAZXn1yHzOnVKv/4heqEhQ8SBtmbNgDJlgOhow2CdiBzL998Dq1aJVnBr1oj5VFxdgU2bgP/9T+3Rmc+6dcC//6ry0qxIJ7UxSLcynGyUiMhKnD0LrF7NfqcqYZBOatG1djl4Fvj1V0CjAf74AyhcWP8gFxfg66/F9enTmbzaiatXgZdfBt54Q+2RkE3YvFmESS4uwLx5wIwZ4vZp04DLl9UdGxEpb9s2YPRocf3HH4EmTYAKFcQBN0BUpaekqDY8s5k/X7SuadsWePBA8ZdnRTqpjUG6lWFFOhGRFYiPFxMEde0qdo5JcQzSSS26ivRt+8SVr74CWrTI+sC33wZq1BDN1KdOVW6AZDEXLohjp8eP8xgqvUBKCjBokLg+aBBQtao4AtO6NZCaCgwdqu74iEhZly8D3bqJCX769AH699ff99VX4sy2y5f1B9xs1V9/AZ98Iq6npgLLlyv68mlpousewCCd1MMg3cowSCcisgLffw/cuSOujxgBXLqk7ngcEIN0UoufVxoAIFbrKarJxo7N/oFOTsDEieL67Nn6dQbZrMePxWVCgpjwmChH06aJbYOiRfVzJmg0wKxZokJ9/XpgyxZVh0hECklIADp1EpOLNmggJiLXaPT3+/rqD7h/8w1w65Y64zTVnj1A9+7iSHP58uK2xYsVHYJuIngwSCf1MEi3MpxslIhIZbduiSAdAEqUABITgV69gPR0dcdlLo8eiY1g+T1aKQbppBbfbWsBAHGuBUWllYtLzg/u0EHsNCclAd99p9AIyVLkIB2w3ZyDFHD9OvDtt+L6tGmGaU7lyvpK9cGDRcUmEdmvzJOLFi0KrF0LuLtnfdy77wKNG4v9iuHDlR+nqU6fBl5/XZyN88YbIlR3cwOOHRM/CpELTj08xMsTqYFBupVhRToRkcq++kqEYk2aADt3Aj4+YmNx1iy1R2a6e/dEi4o//xQ9HB8+VHtEOWKQTqrYuBF+29cAAGLL1xUH03Kj0egDtZ9/FgEb2SwG6ZQnQ4eK7YRmzYAePbLeP3YsEBQEnD8vzlaxZQcPivBMpUkFiaze1KliclFXVzG5aPHi2T9OoxHrA41GbIfv3KnsOE1x6xbQpo04VeuVV4AVK8Q6Tp5QZMkSxYYiF5xyolFSE4N0KyMXNMTFifZaRESkoCNH9BuD06cDISH6XoZffikmILVV0dFA8+aiYgYQFfb/93+qDik3DNJJcdHRQM+e8IPYS4tzy+N/vldfFQeotFp9qxeySZnnjGWQTtnatk18dzo7A3PmGLZvkPn7A5Mni+sTJgB37yo7RnP5v/8DQkOB//1PHDzgxAFEhrZuNZxctHHj3B9fqxbQr5+4PmiQaPht7Z4+FZOK3roFVKoEbNgAeHmJ+3r2FJe//67Y2TdywSnbupCaGKRbGfnImiQZ9n8iIiILkyRg2DBxvUcPoH59cf3DD0UVRkoKEB5uGxu9z7t+XVTOnTsnKmw/+kjcvmqVuuPKBYN0UlR6OvDee8DDh/AtHwzAyDZ7clX64sXAxYtmHx4pgxXplKuUFODTT8X1gQOB6tVzfmx4OFCvntihk4M2WyFJwMyZYkLl5GRx2/HjwH//qTsuImsiTy4qSUDfvvqA/EW++QYoUAA4cUKcyWbNkpOBN98ETp0Sk6Vu2WK4YR4WBhQpIs5w3bxZkSGxIp2sAYN0K5O51xPbuxARKWj9eiAyUqyIJ03S367RAAsWiC22Q4f0kwXZikuXRIh+5QpQpgywaxcwcqS4LyJCtHuxQgzSSVHffiv+/r294TdjPAAjg/RXXgHatxeBvDzxoK3RaoH799UehaoyB+k3b6o3DrJSM2cCFy6I4GjChNwf6+Skb+uyeDFw4IDFh2cWaWniYIFcgf7xx8A774j7FixQd2xE1iI+HujYUd/qRG7ZkheBgSJMB4AxY6y3zaJcYLBrlyj/3rwZKFXK8DEuLsD774vrCk06Km+bsSKd1MQg3QpxwlEiIoWlpuon/hkyBChZ0vD+l17S7xCPHy8qs2zBuXMiRL9xA6hQQWwMly4tAvV69UQPsbVr1R5lthikk2KOHdOHYj/9BN/qpQHk48xAecf4zz/1LZRsxc2bQO3aorfriRNqj0Y1rEinHN28qW/dNHVq3sohGzTQtz749FPr79sZHw906gTMnSt+nzZNXO/fX/y+fLl4DJEjkySgVy9RpV20qOiLnt3kornp1w+oUQN48kS0jrQ2kgR89pnYR3BzA/7+W4w3O+Hh4vJ//wMePLD40ORiU1akk5oYpFshTjhKRKSwn34S7RiCgoBRo7J/zHvvidMbtVqx0ahQL8B8O3lS9Da9cweoVk2E6JknQJIrzFauVGd8L8AgnRSza5cIuF57DXjvPV2VU0qK+MmzmjWBLl3EDuiYMZYYqWWcOAE0bChCgbQ04Lff1B6RahikU46GDQMSE0UPZLkCMy8mTQJ8fcUZbQpOyGe0O3f0/dA9PIDVq8V71mjE7eXLixDdSrcZiBTz008iPHd1FUFzsWLGL8PZWV+gs2CB9bVNmjxZHETTaIBly8Q8MDmpVg2oW1dsPyxfbvGhsSKdrAGDdCskrxQYpJPJ/vhD7NhHRKg9EiLr9eSJvhr1669z3jLTaEQvw8BAUZEuV59ao//+ExOL3r8vJjaKiBCnomfWtau43L0buH1b8SHmJilJ/AAM0kkBT56IyzJlAIjMS2Z0VfrXX4uWDuvWAQcPmmd8lvTPP0DTpmIdIP+xrVwpTul2QJxslLK1Y4cIlp2c9OFSXhUtqm/3NGqUde7gnTolDqYdOQIUKiS2Gd5+W3+/RiPmiwGAhQvVGSORtdi0SVyOGQM0apT/5TRtKuZkkiRxxoq1TOa7ZAnwxRfi+syZ+v2F3Mhn3ijQ3oUV6WQNGKRbIVakk8kkSZx++t57IvCbMkXtERFZr2++EWWIVasCffrk/tgiRYB588T1774TFWbWZt8+oGVL8Z4aNAD+/VfsGD+vRAmxAyBJIiCwInKY5eLCihNSwNOn4rJAAQDi/52np7jJ6CC9UiV9tepXX5lleBbzxx9A27aivCs0FDh9GggIAO7eBXbuVHt0isvIMKxIj4tjm0WCOPtMnmB0wICc2xvk5tNPgYoVxcHtr7827/hMtWOHqLKXW8Dt3y9C9eeFh4uV4/79IngnclTyNkOVKqYva+pUwNtbbLv//rvpyzPV5s36faERI0R7l7zo1k20gDl2TPxYECvSyRowSLdCDNLJJFqtqBoZO1Z/244d1juRCZGaLl/Wn1o5bZrYSXyRrl1FW5T0dLFjmZxs2TEaY+dOoFUrsZXZrBmwfbsIxnIiV5msWqXI8PJKDtILFjSu8I8oX+Sd4kx/K/IOWr6C1HHjxCnf27dbZyAtSeK07ffeE9sM77wDbN0qDhS+9ZZ4zIoV6o5RBXFx+hbW3t7ikhOOEn74Qcw3Uriwvke6sdzcgFmzxPUffwTOnjXb8EyyaJH+YFrTpsDevUDZstk/tkgR4I03xHVOOkqOTD6L7dnBd5MUL64/6D5ihLpHb6Oj9fs3770n2lLlVWCgfv1g4RZWrEgna8Ag3QpxslHKt9hYoH170d/UyQmYP1+0dUhPB/76S+3REVmfkSNFkBQWBrRpk/fnzZ0rdirPnjU8aKWmbdvEDnFCguj1vHmzYY+K7HTpIpLqvXutKjFif3RSlLmD9JAQfRuEL7+0ntO1AbE98MknwOjR4vdhw0RPU3mitO7dxeXatdY/D4SZydXoXl66Lj9s7+LooqP1rd+mTs39wPSLtGkjgqa0NGDwYHXXC5Iktl169xbj6d5dHPh70Zdu377ictky6yoiIFJSNtsMJhkyRMxBcPdu/g/WmcPQoeKIcoMGwK+/iizBGHJ7l99/t+j2AyvSyRowSLdCrEinfLl1S1STbN8u9gLXrQP697failMi1e3ZI8IiJydRjW6MwEDgl1/E9WnTRBCtpjNnxESoSUniYNqGDWI98CLFion1BmBV6wgG6aSobHaK5WNQRrd2kX31lZiwLypKHNSyBomJQOfO4iC7RiMqZKdNM9xZbt5c9HR+8kRUqTsQOUgvWBB46SVxnUG6gxs+XBycfuUV4IMPTF/ejBmiOn3bNmD9etOXl18//KAP7L78UgRf8sG03LRqBZQsKdYP//d/lh0jkbUyd5Du7q4/Y2XWLHXOWNm2TewHODmJyVTd3IxfRliYKDJ6+NCi2z2sSCdrwCDdCnGyUTLaiROin+GJE2IHeNcuoEMHcZ8cpP/7L/DggXpjJLImGRmi8gIQlaPVqhm/jDfeEK1dJElcJiSYd4x5lZambzHz2mti59bDI+/Pf+cdcblypWXGlw8M0klR5q5IB8RBqoEDxfVhw8SZL2p68EDMnbB+vdhpX706+96nzs767QYHa++SuaUUg3RCYiLw55/i+uzZxldnZqdsWeDzz8X1wYPV2W64cEF/Rsq0aWKemLy+N2dnUcUOsL0LOSatVv93a47WLrJ27cS+e1qaOGtMyTNWkpPFawLAoEFAzZr5W46Li36OGAu2d2FFOlkD1YL0xMRE7NixAxMmTEDfvn3RqVMnvPvuuxg8eDB+/fVXXLp0Sa2hqY4V6WSU7duBJk3E6aeVK4tJgOrU0d9fpgxQt64IDlk9QiT8+aeYKNTHx7SJv2bNEv0NL13S75gqbfJk4PBhEQIuWWJ8Fclbb4md6EOHgCtXLDJEYzFIJ0XJ/U6zCdLzXZEOiErPwoVFf2V5LgY1XL4sJhY+cEDs+O/Yoe+Fnh25vcu6deodIFQBK9LJwOPHIsxycQFq1zbfckePFlXd164BY8aYb7l5kZ4u2i/IB97lggJj9O4tthkiI4GLF809QiLrJh94B8yf5P74o5jpPCJCtFxTypQpYj+mWDF9K6v8Cg8Xlxs2WKyAT87IGKSTmhQP0vft24fw8HAULlwYYWFhmDBhAn799VesW7cOK1aswI8//oi+ffuiYsWKqFatGubMmYNYB2sWziCd8mzRInEEOy5OnI4dFQWUKpX1cWzvQqSXlASMGiWujx4tTkPMr4AA0UcQEEHZv/+aPDyjHD+uPxAwe7bYCDZWkSJAixbiupWsIxikk6LkHeNM1WVyaxeTNkEDAvSTdY0fL/qfKu2//0RbikuXxPbB3r3i4HtuGjQQfd4TE8XOsIPIHKSXKCGuW9HUEaS0zGeqmHPWax8f0ToBEC1WDh4037JfZOZMYN8+sYL79df8va8SJfRzysjbP0SOQl4v+PmJMzTMKSREP/Ho0KGGob2lXLqk306ZOdP0dLpaNVHAl5ZmsbPa5O0ytnYhNSkWpJ8+fRrt2rVDkyZNsGLFCjRu3BhfffUV1q1bh/379+PChQs4fvw4IiIi8NNPPyE8PBzx8fEYNGgQypYtix9//BFpaWlKDVdVnGyUXkiSgHHj9JME9egBbNmS8ylmXbqIy8hI4N49xYZJZJVmzRLpSIkSYoIfU4WFAf36ieu9eil3FDQ1VfRs1WqBTp2Ad9/N/7Ks7GAbg3RSTEaGfoPLnK1dZL16iZ3KuDjlz1q5fx94/XVRFVarlgjQKlV68fM0GqBbN3Hdgdq7yEF6YCAr0gnm74OcWdu24js7I0O0l1NiYt+zZ/Uh3cyZoio+v+TJlBcvVr9tFZGSLLleAEQruIoVxfe3/PdqKZIkWrqkpACtW+vzAlPJVemLF5tnec9hRTpZA8WC9Bo1auD8+fP44YcfcPv2bWzbtg0TJkzA66+/jvr166NcuXKoXr06QkND8dFHH+G3337DtWvXEBERgbCwMAwbNgxTpkxRariqYkU65UqrFadlylWoeZkkqHRpoH59scG+dq0SoySyTvfuAd99J65PmiROoTSHadNEG6UbN8wTzufF11+LeREKFRLVbaZUzHXuLCprjh61ilO1GaSTYmJj9b1IM5U3maW1CyBaIMyZI64vXizarykhI0P0Kr1zB6hSBdi5EwgOzvvz5fYumzfrW9/YObZ2IQOWDsxmzRLf3ydPAlOnWuY1ZGlpYt8hJUVUk8t9zvOrQwdxNtu9ew511gqR7vvQnP3RM3N3B+bNE9fnzROtGy1lzRoxyai7OzB3rvnOvOneHXB1FfsUx4+bZ5nPpKTojzuyIp3UpFiQ/vPPP+P8+fMYOHAgChUqlOfnhYaG4vfff8eZM2fQqFEjC47QenCyUcrVV18BS5eK0OuXX8QkQXn54rOyilMiVXz7LRAfD9Srpw+KzMHHR4RkGo1ouWTpHctDh0RvdACYPx8ICjJteYUKiX6pgFVMOsognRQjh2UeHgaT9JqltYusQQMRYgHAp5+KkNvSpkwRO8ienuJ7X35DeVW9OlC1qjh47yDzq2Q32WhMjBkOppBtsnSQXqiQaO0CABMniopxS5k+XbSQ8fcXk4SaGpi5uoqzbQBg4ULTx0dkKyy9XgDExODvvisO8vfvL+Y2MLfYWDHhMSDaXZYrZ75lBwYCb7whrpt50tHM+ZiPj1kXTWQUxYL0Pn36wMXFJd/PL1++PFrIPVztHCvSKUcnToiNYUBMQtK3b96f+/bb4nLXLlGhRuSI9u4VlyNGiEpRc2raVJySCYi/zYcPzbt8WVKSOG0yPV20X5D/tk31zjvikkE6OZIcdorN1tpFNnmyWOjhw+JgmyXt2aOfxHDOHBGI54d8sNFB2rtkrkj39dVvj0dHqzcmUpESgVn37qLNS2qq2G6wxEG206eBsWPF9R9+0B8lMlWfPuJyyxZxNh6RI1BivQCIM139/cU8J/KcCuY0bhxw+7YI0OV5o8xJLh74/Xeztn+St8l8fc3fop7IGIpONpqSkqLky9mszEG6fLYxETIyRB/m9HTgrbf0FeZ5VaoU0LCh+E/F9i7kqORTMvMzKWdeTJwoQqt794CPP7bMSnzMGFG5VrSovmWEOXTsKKrMTp0Czpwx33LzgUE6KSaHnWK5gNts1chFiogdV0D0SrfUJGIPH4oDbOnpwHvv6atG80Pukx4Roc5EqQrLHKQD+ryRE446KCUCM41GhGQ+PkBUlPkDM61WHHhPTRXtWD74wHzLLldOTFQuScBvv5lvuUTWzNKtXWRFi4qzaAHRxtWc38HHjgE//iiuz51rcDae2YSFie2eBw9EizgzYX90shaKBukBAQFo2bIlvv76a+zevRtaTk6SLTlIT08XhYdEAEQbl/37xd69fCqoseSKU7Z3IUdl6R1jDw/ResnFRfQeNHcl5549wIwZ4vqCBeZNmgsUEBu+gKpV6enp+v0UBulkcTnsFJu9Ih0QbV0qVxY7luPHm3HBz2RkiCqw6GigQgXR9smUFg5ly+rnV3GA7YbMk40C7JPu8JSqPC1ZUszZAgAjR5r3yM3UqaKitUAB4OefzdcDWSafGfvbb5ZpP0FkbZRaLwCirUudOiI9/vxz8ywzIwMYMEBcdukiJhm1BFdXcTAfMOuko/I2Gfujk9oUDdI9PT0RGRmJ8ePHo3nz5ggICECrVq3w3XffYd++fUjnFzAAwNtb33GA7V0IgDgKLZ929c03QPHi+VuO3AJizx6eq0yOJyNDvwFsyUqS2rX1bRU++cR8f2sJCSIkkyRx2aGDeZabWea5FFQ6JerpU/1Ly5WhRBajVGsXQOxYygfC58wRZ3+Y04wZwMaNYuKwVavM00C0Rw9x6QDtXXKqSGeQ7qCUDMwGDAAaNRJzuJjrbLYTJ4AJE8T12bMtcyZep07iD+bmTTEnA5G9U3K94OwszlLRaIA//gD+/df0Zf76K7Bvn9g+mDnT9OXlJjxcXG7YIAoIzEDeJmNFOqlN0SD90aNHOHLkCGbMmIEOHTrA3d0d//zzD7766is0adIEBQoUQLt27fD999/j8OHDkBy0r4lGwwlH6TlDh4r/DHXqiGAuv156CWjcmO1dyDHFxen7j1r6lMzRo4G6dcUG94cfmmeneNQo4PJloEQJYNYs05eXnTffFCHcuXPAyZOWeY0XkNu6+PoCbm6qDIEciVKtXWStWonwKT0dGDTIfAes9u8X6x1AhPU1aphnuV27iuqO/fuBq1fNs0wrJEkM0uk5SgZmTk7iLDM3N3Ew7M8/TVue3NJFqxXf6/IBMXPz8ADef19cX7DAMq9BZE2UKMjJrG5dcXANEAfcUlPzv6wHD8RZL4BoRZnfwry8ql5dZBdpaWY7GC9nY6xIJ7UpGqRrNBrUrFkTgwcPxrp16/Do0SP8999/mD59Otq3bw9nZ2ds2bIFI0eORIMGDVCwYEG8+eabSg7RanDCUdLZtk18+Tg5ifYups6sIVecWsGEgkSKkjd+3d0t0w8wM1dX0eLF3V1MxPXLL6Yt759/9P3Qf/3VcluQfn5i4jNAtXXE8+0ViCxKyYp02YwZYh0UEWGeg9pPnojWbWlp4vKjj0xfpiw4GGjeXFw3NdyzYnFx4uMD9EF6iRLikj3SHZSSQToAVKkieiED4iCbKROWf/ed6INcsKC+otVS5PYuGzY4xFwK5ODkdnBKrRcA0Su9SBHg/HkxCWl+jRwpxl+jBjBwoPnGlxt50lEztXdhRTpZC0WD9OdpNBrUqlULQ4YMwfr16/H48WMcPnwY06ZNQ9WqVRETE4P//e9/ag5RNQzSCYBoki8fhR40SLSMMNVbb4kN6r17uXdIjkWpCYJklSvr+54OGyaqyfMjNhbo3Vtc799fVLRakjyXwsqVqrR34USjpKgXBOlxcRb4MyhdGhgxQlwfNgxITMz/siRJTCh644boaf7LL+YPzbp3F5d23N5FPoDn4QF4eorrrEh3cEoH6YA486xaNRGiDx2av2UcOybaQAJiIsGiRc02vGxVrQq88oo4ErVkiWVfi0htaqwXAgKA6dPF9YkT83d22J49wKJF4vr8+WIuJyV07y6Ki44eBY4fN3lxrEgna6FqkJ7ZrVu38Pvvv2POnDmYPXs2Tj3rG+ljjv6ONkheOVikEopsxzffAFeuiL25r782zzKLFweaNBHX16wxzzKJbIHSQToAfPYZEBqq72+en7lAhg0TIVlICPD992YfYhYdOogk6fJl4MgRy7/ecxikk6Je0NolLQ1ITrbA644cKSYZvHEDmDIl/8v58Udg3TrREmLVKsuUab31ltgRPnkSOH3a/Mu3AtmdCcMg3cGpEZi5uQELF4qDYcuWiTPajJGaKlq6pKWJv1v5wLilffihuFy4ULX5VYgUocZ6ARDtmVq0EBskn35q3N+ZVqsvzOvbVxz4UkpgIPDGG+K6GQ60sSKdrIVqQfrdu3exYsUKfPTRRyhfvjxKlSqF8PBw/N///R+qVq2KKVOmYP/+/Xgsb9k6GFakE86c0YdmP/6o36s3h8wTChI5CjU2fp2cRAWIj4+oBjF2Yp/Nm/U71fJyLM3HRz+RqQrtXRikk6JyOMCW+U/NIkUNXl6ixQsggvT8VJgdPgwMHy6uT59unrPWslOgANCmjbhup1Xpz/dHB/RB+pMn4lgoORi1ArMGDcRBeADo109MQJpX33wjJhktVAiYN8+yLV0ye+cdsZ9y6RIQGanMaxKpQY2iHED8Lc+bJw5qb9woDqC/iCSJgrzRo8Xk5oUK6c+UVZI86ejq1SYvihXpZC0UDdJXrVqFAQMGoHLlyihevDjeffddrFmzBlWqVMH333+PQ4cO4fHjx/jf//6H4cOHo379+nA2tR+0jeJkow4uI0NsPGu14ihux47mXf7bb4sv5P37gevXzbtsImul1sZvSIg+QP/yy9wrOpOTxU7ouHFAs2ZikjBAX9mulMwH2xSuLmOQTorKISxzcrLghKOyzp2Bli2BlBTj2zjExIjwSqsVyzFlIvK8yNzexQ4rTuX1TuYg3c9Pf0AlOlr5MZGKJEm9IB0QgXjp0uKMla++ynp/YqI4Y+yPP8R2RadOQMWK+pYu8+YBQUHKjdfbWz+h6cKFyr0ukZLUXi9UqqQ/eD5oUNaDbPfuAf/7n9iHaNsWKFxYtHyT28JMnarOxnXNmvrxmbj9wIp0shYKNUcSunXrBicnJ7Rp0wYff/wxQkND8fLLL0Oj1NFyG8KKdAe3aJGoXvX2BmbPNn9FSdGiIpSLjBTtXYYNM+/yiayRWkE6APTpA/z9t6gi+eADcRDL1VWchn3woJh0MCIC2Lcvax+JJk3ERENKatdOrH+uXxfja9BAsZdmkE6KymWn2NdXhOgWa7On0YgzzmrUEOuHbduA1q1f/DxJEq0UrlwRYduvv1q+8vSNN0QV/ZUrwKFDQP36ln09hWVXka7RiAlHz54VU8pUqKDO2EgFCQn6VmxqBGbe3sDPPwNhYWIdUbw48OCBOFv1zBng2rWcA6mPPwa6dFF0uADEOunnn8UEyrNnG/4xEdmD5GSx3Q6os14AxIGz5cvFOmDQIDEf08GD4ns5u+I4V1cRZL/1lr4yXGly6q3VisIBD498L0rOxhikk9oUDdIBICMjA5GRkUhOTkZcXBzi4+NRv359uLq6Kj0Uq8Yg3YHdv68/2jxhguihagldu4ogfdUqBunkGNSsItFogAULxCRiR46Iv7+EBCAqKutEg0WKiCrVFi3ET9myyp2eLfPyEsHZihWivQuDdLJXuawX/PyA27ctPF9N1aqi3+msWeLMkx9+EBt/z//ExuqvP3wo2je4uoq/TyXWad7eYp3w559iveAAQTog2rucPcs+6Q5HXi+4uIjvQzW0bi0OvC9dqp+cOLPAQLH+qFwZqFJF/FSuLEJ3NdSpIwK7Y8dEpfynn6ozDiJLkQtynJ2VabWYHS8vcaDq9df1k4fKNBpRtV6/PlCvnrh8+WXA3V2dscqe75VnQpAub4+xtQupTdEg/dGjR9i5cyciIiIQGRmJsWPHAgA8PT3RsGFDhIaGonnz5mjYsKHDB+ucbNSBff65+KKuUUPfI9ESOncGBg4UR7GvXhXtJ4jsmZoV6QAQHCxOt+7WTVSfygoVApo31wfnlSopH5xn5513RGC2ahUwbZrodaEABumkqBdUpAMWbO0iGzdOBE/nzokK1LyaNk3ZQLt7dxGkr1wpXtuO2i9mN9kowAlHHVbm9YKa38czZ4pKdK02a2BeuLB648qORiMOth07JvoxE9kba1kvdOgg9uE3bxYHr+TgvE4d6yzVlg88xMeLcMuEtlOsSCdroWiQXqBAAXTs2BEdn/V7fvToESIjI3XB+rhx46DRaODh4YGGDRuiefPmaN68OZo2barkMK0CK9Id1L//AsuWiS/nX34RlTCWUqSICO/+/VdM/pFdtQuRPVE7SAdEOH3xInD8ONC0qQjOq1ZVLKQ2Sps2Yks1OhrYu1e0mFEAg3RSTFqaPiXPoSIdUKCoISBAnLEyahTg5iY2Ap//8fMz/L1MGRGmKSksTIz1zh1g1y6x/rITuVWkA44XpMfHi3/iNm2s8+vJ4tQ8gy2zggWBTZvUHYMx5M+LlWBkj6xlvQCIqnRb4usrvlhMrExgRTpZC8Vbu2QWGBiIt956C2+99RYA4MGDB4iMjERkZCS2bduG8ePHQ6PRIC0tTc1hqoKTjTqg5GTR1xAABgxQpsqsa1cRpK9axSCd7J+8AaxmkA5kP3GYNXJ3FxMdL10qKlAZpJO9ybyRpWaQDoiJheXJha2Vu7vos/rrr+JsFTsK0rObbBRw3CB98GDxz/z99+JESYdjTYGZLZFXmhY/jYfUkJ4uWnS3aGHcyVN2w1r2I2yRn584CG/iBhUr0slaWE2NQVpaGi5evIgLFy7gwoULuH37NiRJgmTizL62ihXpDmjyZODCBdH+QamJBTt3Fqdb/fcfcPmyMq9JpBa5Ip07xnnXubO4/PdfxV6SQTopRt4p9vYW/cafo1hrF1vSvbu4XLNGP+maHcipIr1ECXF586ay41FTcrI4UREA5s8HMjLUHY8qGKTnj6JHH0lpmzYBU6YAffrkPNetXeN+RP6ZYd0gSaxIJ+uhWkV6eno6Dh06pGvtsnfvXiQmJuqC88DAQLRt2xYt7KjaxRgM0h3ErVuiZcLevWJvBRATjin17VC4sJjUcPt2sdc0apQyr0ukBmto7WJr5MmO5VDBwpKSxA/AIJ0U8IKwjJlQNpo3B4oWBe7eBbZtE71a7QBbu+ht26b/P3/lChARAbz6qrpjUhyD9PzhStOunTwpLqOjRf1VuXLqjkdxXC/knxnWDQkJ+gO7rEgntSkapB88eFAXnEdFRSEhIUEXnAcEBOD1119HixYt0KJFC7z88stKDs3qcLJRO6TVigl49u4F9u0Tl8+XOL3+OtCli7Lj6tpVBOmrVjFIJ/vGUzKNJ5fkKvRlJFeju7joX5rIYvIYpLMiPRNnZ7Hd8OOPor2LnQXpOU02+uiROMjn6ansuNQgV6O7uwMpKaJ9P4N0yhMG6XYt8xyykZEM0skIZjjFT16tODsDXl5mGBORCRQN0hs2bAiNRgNJkuDn54d27drpgvOaNWtCo+bsx1aGFel2QJJEO4QdO0RofuiQvtRS5uwsZttu1Ej8dO6s/CzgnToB/fsDR4+KSRDLl1f29YmUwlMyjSfvFMfHizIQC886l7mtCzcJyOJesFOs8HEk29G9uwjS160DEhNtfo9WknKuSA8IEG8vMVFUYdp7cJScDKxfL65Pnw4MHAj89Rfw8CFQqJC6Y1MUA7P8YZBu106f1l+PjAQ+/FC1oaiDZ7bmnxnWDfJT/fy4j0DqUzRIb926NVq2bIkWLVqgTp06cHLIaeDzRl7XJCeLFpRubuqOh/Jh+/asM7EUKKAPzRs1AurVE71Z1RQYCLz2GrB1q6hK//JLdcdDZAlJSaK0DuAGsDEyl4UnJFi8TJz90UlRbO2SPw0a6Nu7nDwpfrdhCQnipEEga5Cu0Yiq9AsXRHsXew/S5bYuxYsDH38MLFokptFZuhQYOlTt0SmIQXr+cGIJu5WWBpw7p/99505xENKhAk2uF/LPDBtUcoEp+6OTNVA0yd6yZQtGjBiBevXqMUR/gcx9n1iVbqO2bxeX9eoBCxcCZ86Ikp7//Q/44gvRZ1TtEF3Wtau4XLVK3XEQWYq88evkxJ4hxvDwEGfOAIrsGDNIJ0W9oLqMrV1yoNEARYqI63ZwlEFe77i7Z9+6xZEmHJXburz9tvi67NtX/L5ggYNNLsjALH/klWZqqr54gezCpUvin9XTUxT43bol5lBwKFwv5J+ZK9KJ1MY020o5OwM+PuI6g3QbtWePuPz0UzG9eeXKFm+LkG8dO4qmxCdOGJYbENmLzG1dHKp8xkQajaJluQzSSVFs7ZJ/dlSun7mtS3ZfD44y4Wjmti5yfUX37qK1zblzQFSUemNTHAOz/MlcqGAH6wbSk9u6VKmiPwkpMlK14aiDrV3yzwxnq7AinayJoq1devfubfRzNBoNfv31VwuMxvr5+4u2tNwOsUGJieJcWABo0kTdseRFwYKivcuWLcCmTUClSmqPiMi8uPGbf76+4vNjRTrZG7Z2yT87+nBy6o8uc5QgPXNbl4YNxW1+fkC3bsBvv4mqdFvYpDULBun54+wszrZNSBD/mQoXVntEZCZykF6tGlCyJLB7twjS+/RRdVjK4noh/1iRTnZG0SB98eLFuslG88rRg/ToaFak26RDh0TDzWLFgNKl1R5N3lSsKIL0hw/VHgmR+ckbvwzSjadgz1MG6aSoPAbpbO2SDTsM0nNa7zhKkP58WxfZhx+KIH31auCHHxwkQ2Jgln9+fvogneyGHKRXrQrUqQNMnCiCdIfqk871Qv6xRzrZGUWDdABwcXFBu3btEB4ejuDgYKVf3qbI6xsG6TZIbuvSpIntbF3Y0U4xURaZW7uQcdjahewVW7vknx1tM7AiPfu2LrKGDUV4dvo08McfwCefKD8+xTEwyz8/P+DOHbtYN5DeqVPismpVsU7I3Ce9bFl1x6YYnt2af6xIJzujaJA+d+5c/Pbbb1i3bh02btyINm3aoE+fPujQoQOc5cnMSEc+2sYg3QbJjSRt6RxYlt6RPePGb/6xIp3slREV6Q5VdZcXdhSky+udnIJ0R5hsNLu2LjKNRkw6OniwaO8yYICd/y1IEoN0Uyi4zUDKSE0FLlwQ16tVE/Mm1K8v6sYiIx0kSM/I0IcyXC8Yz4w90hmkkzVQdObDjz/+GIcOHcLx48cxYMAA7N+/H507d0bx4sUxfPhwnDlzRsnhWD0G6TYqPR3Yu1dct6UgnaV3ZM/Y2iX/GKSTvXrBATb5v74kiU4FlIkdBel5rUh/8EBUbtujnNq6yN5/H3B3B44f108BZLcSEsS2PMDALD/saN1AwsWLQFqa+E6UDyw2by4uHWbC0fh4EaYDXC/khxkr0tnahayBokG6rHr16pg1axaio6Px559/olatWpg5cyaqV6+OV155BQsXLkRiYqIaQ7Mq8kqC2yE25vRpcfTD1xeoXl3t0eQdN3zJnrG1S/4peJCNQTop6gVVp15e+lCRX43PsaNthhcF6QULAh4e4vrt28qMSUm5tXWRFSwIvPWWuL5ggTLjUo28XnBxESsBMo4drRtIkPujV6miPxslc5BuxPR3tkteL7i7678QKO/M2COdFelkDVQJ0mWurq7o0qULNm/ejBs3bmDixIm4ceMG+vXrhx07dqg5NKvAinQbJfdHb9hQbITbCrZ2IXvG1i75p+C6gUE6KeoFQbpGw6/GHNlRWPaiyUY1Gvvuk55bW5fM+vYVl8uXi+JMu5X5wLtd97CxEDtaN5CQuT+67JVXAFdXfZ90u8f9CNNk3piSK/uNxIp0siaqBumy1NRU7N69Gzt37sS9e/cgSRI8eKSPk43aqswTjdoStnYhe8bWLvmnUGuX9HT9fgqDdLK41FRAPvsxlzNV+NWYAzsKy15UkQ7Yd5D+orYustBQoHx5EaKvXKnM2FTB7QXT2NG6gQS5Ir1aNf1tXl5AgwbiukO0d+G8CaaRN6aAfPfKY0U6WRNVg/SjR4/i008/RbFixdC9e3ecOHECw4YNw9mzZ9G6dWs1h2YVWJFuo2w1SOeGL9kztnbJP4WC9KdP9acH5xZoEZlF5o2rXPbK+NWYAzv6YF402ShgvxOO5qWti0yjAT78UFy36/YuDMxMw8lG7Y4cpGeuSAccrE861wum8fQEnJ3F9XxuN7AinayJ4kH648eP8eOPP6JWrVqoW7cufv75ZzRp0gR///03bt26hSlTpqBixYpKD8sqMUi3QTduiL0sZ2f9YXpbwQ1fsmc8JTP/FArM5DDLz0+cLkxkUfJOsa9vrm3Y2NolB3YUpDtyRXpe27rIwsPFn8uBA8DJk5YfnyoYmJnGjtYNJA62XbworucWpNt9n3TuR5gmc6+8fK4bWJFO1kTRIL1r164oXrw4hgwZgpSUFEyePBk3b97E33//jTfeeAPO8lEqAsDJRm2SXI1euzbg7a3uWIwlfytlnpWcyF5wAzj/FDrIxv7opKg8tm9ga5cc2En/QUly7CA9r21dZEWKAG++Ka7bbVU6g3TTMEi3K+fPi93CgACgWDHD+xyqTzrXC6YzsTKBFelkTRSdCXHNmjVwdXXF66+/jkaNGkGSJCxZsuSFzxsxYoQCo7M+rEi3QVFR4tLW2roAhod34+N5uJfsCzeA849BOtmjPLZ7YiaUg8wfjCTZ7KSMiYmiXT6Q+7rHHoN0Y9q6ZNa3L7B2LbBsGTBlijhj365we8E0XGnalcxtXZ5fzct90vfsEVXpZcsqPjzlcL1gOhMqE9LT9ZNcM6Iga6BokA4AWq0W69evx4YNGyDl4RwgjUbjsEG6nRT7OBZb7Y8OAO7uoqxAqxVfcPyWInuRlqYPgVmRbjyFSnIZpJOi8rhTzNYuOZA/mPR0IClJJCo2SK5Gd3PL/S3IPdLtKUg3tq2LrFUroFQp4Pp1Eai/957lxqgKBmamYZBuV3Lqjy5r3lzs/u7cCfTpo9iwlMczW01nwroh8zYYIwqyBooG6YsWLVLy5WweK9JtzNOn+oaRjRurOpR88/MTaRY3fsmeyDvFAHeM80OhJJFBOikqj2EZW7vkwNtblCdKkvhwbDRIzzzRaG5F9XJF+r17ooLdzc3yY7M0Y9u6yJycgN69gXHjRHsXBulkgEcf7cqpU+IytyD9m2/0fdJt9OSkF+N6wXQmBOnyU9zdxQ+R2hQN0sPDw5V8OZsnB+nx8aLghy3krdy+fWILolw50UTSFslBOjd+yZ7IG78+PrlOKkg5YGsXskdGVqQzSH+OPHFYTIz4cIoWVXtE+ZKX/ugAUKiQCM9TU4Hbt4HSpS0+NIvKb1sXWe/ewIQJwK5doodyxYrmHZ+qGJiZhkcf7YpckV6tWvb3y33Sb94Erl4FypRRbmyK4nrBdCYcZJMLS9kfnayFopONknEyryiYa9oAW27rIuPGL9kjno5pmsxBeh5asuUXg3RSlJEV6dwOy4YdHGXIa5Cu0dhXn/T8tnWRvfQS0LatuL5woXnHpjoGZqaxg/UCCYmJ+klEc6pI9/IC6tcX1yMjFRmWOrheMJ0JOYP8FLZ1IWuhWJCekJBgFcuwJW5ugIeHuM72LjbAHoJ0bvySPWKQbprneyFbCIN0UhQr0k1nBx+OHKTnZb1jT0F6ftu6ZNa3r7hcskQ/YatdYGBmmsxVpxkZ6o6FTHLunKifCAwEgoJyflzz5uLSroN07kuYzoRtBlakk7VRLEgPCQnB999/n68wfN++fWjTpg1mzJhhgZFZN044aiNSUoCDB8V1Ww7SWXpH9og7xaaReyEDFl03MEgnReVxp5jtfnNhR0H6iyrSAfuZcNTUti6y9u2B4GDgwQNg3TrzjM0qcJvBNJlLRuPj1RsHmUzuj16tWu69zzMH6RY8cVFdXC+Yzgw90lmRTtZCsSC9R48e+Oqrr1C0aFGEh4djw4YNePDgQbaPTUtLw3///YfJkyejevXqaNKkCaKjo9FWPofQgXDCURtx5IjYMylUCKhQQe3R5J8d7BQTZcEqEtNoNKK/PMAgnewHJxs1nR1sM2SebPRF5Ir0mzctNx4lmNrWRebiAvTqJa4vWGCesVkFBmam8fDQz0djw+sG0vdHz6mti+z5Pul2iesF05mhRzqDdLIWigXps2bNwqlTp9CpUyesWrUKHTt2RNGiRVGyZEnUq1cPrVq1QtOmTVG1alX4+fmhfv36+OKLLyBJEhYsWIDjx4+jbt26Sg3XajBItxFRUeKycWPbnq7cDnaKibJgkG46BdJEBumkKLZ2MZ0dfDjGVKTbS2sXc7R1kfXpIy63b7eTAE2SGJiZSqPhGa52Iq9Bure3nfdJT0vT/1/mvkT+maFHOlu7kLVQdLLR8uXLY+nSpYiOjsYPP/yAN954AykpKfjvv//wzz//ICoqCpcuXULlypXx2WefYefOnTh16hR69+4NJ1O39GyUvLKw4X0Ux2AP/dEBbviSfeJOsekU6G/BIJ0UZWSQzq/FbDBItznmausiK1MGaNFCXN+0yfTlqS4+Xt/Xm9sM+WcH6wbKe5AO2Hmf9MwVjUxy888MPdJZkU7WwkWNFy1YsCAGDhyIgQMHAgC0Wi0ePXoET09P+HPlZIAV6TZAkuwnSOeGL9kjVqSbzsIH2RITRcADMEgnhbC1i+nsYJvB0SYbNVdbl8zq1wciIoAzZ8yzPFXJ6wVXV8DTU9Wh2DQ7WDc4uvh44No1cT2vQfq33+r7pNvyCdpZyOsFHx992yIynhl6pDMqJGthFWXerq6uKFq0KEP0bHCyURtw/rwopfTwAGrXVns0pmHpHdkjBumms3CaKFeju7rq27ETWZSRFekJCUB6ukVHZHvsICzLz2Sjd+4AWq3lxmRJ5mzrIqtcWVyePWue5akq83rBrpJAhdnBusHRyQfGihQRU4C9iF33Sed+hHmwRzrZEasI0ilnrEi3AXI1eoMGgJubumMxFUvvyB6xtYvpLHyQLXNbF2YXZHHJyfpTIF6wY5x5py0+3oJjskV2EJYZM9lo4cIiKJIkEabbGnO3dZHZbZBO+WcH6wZHZ0xbF8DO+6RzvWAe7JFOdoRBupVjkG4D7KWtC8ANX7JPrCQxnYVbu7A/OilK3inOPCleDtzdRXgK8KsxCxvfZpAk4yrSnZxESxTANtu7WKKtC6AP0u/e1X/d2iwGZubBM1xt3qlT4rJatbw/JzRUXDJIp2yxRzrZEQbpVo6TjdoAewrSOdko2SMG6aZjkE72RN4p9vfPU38LG8+LLcfGP5ikJCAlRVzPS5AO2HafdHky0LfeMl9bF0B8Pcifi81XpTMwMw+e4WrzjK1IBwwnHJUkc49IRVwvmIe8zZCcbHR/NFakk7VhkG7lWJFu5e7eBS5fFlVtr7yi9mhMZ+M7xUTZ4gaw6RTqkc4gnRRh5DqBxZU5sPFtBrka3Zi5GWw5SD9wQFzKVaPmZDftXbi9YB42vm6g/AXpjRqJuThv3tRPVGoXWJBjHpnPADRyg4oV6WRtGKRbOU42auWiosRl9er2cYiUG75kbyRJv2PMDeD8U7BHOpHFGRmWsbgyBza+zZC5rUte52aQJxy9edMyY7KUxETg5ElxXe5jbE4M0smAja8bHF1MjP5goTFBut32Sed6wTxcXQEPD3HdyHUDK9LJ2jBIt3KsSLdy9tTWBWBrF7I/cXFAerq4ziA9/9jahewJK9LNw8bDMmMmGpXZakX60aPiqzA4WN/n3ZyqVBGXZ86Yf9mKYmBmHja+bnB0cjV68eLG/ylkbu9iN7heMJ98rhvkh7MinayFakF6mTJl8Mknn6j18jaDQbqVs7cgXf52SkoC0tLUHQuROcgbv25u+ioIMh5bu5A9MfI0bVak58DGwzJjJhqV2WqQLrd1adAg79X3xmBFOhmw8XWDo8tPWxeZXfZJZ2sX88lHZUJqqmirDrAinayHakH6w4cP4cdDSi/EyUatWHy8KPEB7CdIN6F3GZFVyrzxa4n0wFGwtQvZk3xWpHNb7DnyB5OSop+104Y4UpB+8KC4tERbF0AfpF+/LtrI2CwG6ebB03hsmilButwn/cYNO+qTzvWC+eSjMiHzQzNHFURqUi1If/nll3HhwgWLLDs6OhqzZs1C69atUbJkSbi5uaFo0aJ46623cEAuyXhObGwshg4dilKlSsHd3R2lS5fG8OHDER8fb5Ex5lXmIN1ujuraiwMHxHmyJUvqm2baOhN6lxFZJVaRmAdbu5A9YWsX87Dxg+9ykG7MekcO0u/csa0T9ywdpBcuDBQqJPZVzp+3zGsogoGZefA0HpsmB+nVqhn/XLvsk871gvnkozJB7szg4wM4O1tgTET5oFqQPnLkSGzYsAERERFmX/bs2bMxZMgQXLlyBa1bt8awYcPQpEkTrFu3Do0aNcLKlSsNHp+QkIDQ0FDMnDkTlSpVwpAhQ1CxYkVMmzYNLVu2RLJ8LokK5HVNejqQkKDaMCg79tbWRcbSO7In3Pg1D7Z2IXvCyUbNw9lZpCaATX44+alIL1JEVFumpwN371pmXOb24AFw9ao4KatuXcu9jlyVbtN90rnNYB7cl7Bpp06Jy/xUpAN22CddLsrhesF0+Vg3sD86WSMXtV74yZMnaN26NVq3bo2OHTuiXr16KFKkCDTZnHr/wQcfGLXs+vXrIzIyEqGhoQa37969G6+++io+/vhjdOzYEe7u7gCAqVOn4tixYxg5ciQmT56se/yoUaMwZcoUzJw5E6NHj87HuzSdl5fYT0lPF0fjfHxUGQZlRw7SGzdWdxzm5usL3L9vk9VlRFmwIt082NqF7Albu5iPn5+o9LDBDyc/k406OwPFiom2Bbdu6SvUrZlcjV6pkmX7y1auDOzebeN90hmkmwdXmjbr8WP9QUJ5EmFjNW8OfPedvk+6zXdWlNcL3JcwXT72J+SKdAbpZE1UC9J79uwJjUYDSZKwdu1arF27FgAMgnRJkqDRaIwO0jt37pzt7U2bNkWLFi2wbds2nDx5EnXr1oUkSVi4cCF8fHwwZswYg8ePGTMGc+fOxcKFC1UL0jUasdH7+LFYiRQvrsow6HlpacD+/eI6K9KJrBeDdPOwYGuX9HT9PgqDdFIEW7uYj5+f6HNig9sM+alIB0R4LgfptsDSbV1kdjHhKIN08+C+hM2S27qULJn/ftTP90kPCTHb8NTB9YL5mNAjnRONkjVRLUhftGiRKq/r6uoKAHBxEW/94sWLuH37NsLCwuAtn576jLe3Nxo3boytW7fi5s2bKJFDH+yUlBSkZJpkKfbZX7tWq4VWqzV5zP7+Lnj8WIPHj9Og1bJRulU4ehSu8fGQ/P2RVqECYIZ/Z2vh7OsLJwBpjx9DsqP3pTZ5XWCOdQLlndOjR3AGkO7nhwx+9vnn4QFXAEhNhTY+Hnh2Rpc5PHwISJL4bvb11drT6vSFuF5Qh/OTJ+J7ztc3T99zXl4aAC54+jQDWm26xcdnS2x5m+HRI2cATvDzM277ulgx8bzr19Oh1WZYZGzmXDccOCDGW6eO5cYLABUqiL+TM2ckaLU21EBeJklwefoUGgBab2+72rZXnKenxbYZHJkS2wwnTjgBcEbVqvn/vnNzA+rWdcb+/U745580hIfbcH6RnAzXZ21+uV4wnZO3t9gve/o0z/tljx6J7xZfX26DZYf7EOpQLUgPDw9X/DVv3LiBHTt2IDg4GNWrVwcggnQAKF++fLbPKV++PLZu3YqLFy/mGKRPmjQJEyZMyHJ7REQEvLy8zDDyUAAB2LHjIB49emCG5ZGpyvzvf6gO4H7Zsti/davawzGrBomJKArg5N69uPHcwSUy3fbt29UegkOpfuwYygC49OgRzm3apPZwbJYmPR1vPLu+46+/kGrG8yujo30AvAovLy22bXPMfyOuF5T1anQ0fADsO3sWj51ePF3QpUvFANTD9euPsWlTlMXHZ0sapaaiMIBju3Yh2sbO379+vTkAf1y6dBCbNuV9+zo1tSqActi9+yrKlTttodEJpq4bJAnYu7ctADekpu7Gpk0x5hlYNh488AAQhosXJaxfvxkuLrYVnrkkJaF9hjjQsPXAAaQz/M03S24zkGW3GTZtqg6gDNzdL2PTpvxPeFC8eGUAFfDHH3dQuPARs41Pae5PnqANAMnJCZt27wbysM1AOatw9y4qA7h1+jSO5XG/bP/+EAAvIzHxDjZtOmzR8dmixMREtYfgkFQL0pWm1Wrx/vvvIyUlBVOmTIHzsyl/Y541XfLP4VwRv2df/PLjsjN69GgMHTpU93tsbCxKlCiBFi1aINAM56lPn+6Mq1eBChXqo10729ootVfOy5YBAAp17Ih27dqpPBrzcv7zT+DwYbxcujSq2dl7U5NWq8X27dvRqlUr3ZkxZHnOzyaXLle3Lsrw/7NJJC8vaBIT8VqDBmY9T3ffPhG+FS3qYnfr0xfhekEdLs+qdxq2aQM8K6zIjbOzBtOmAa6ugQ73f/RFnBctAk6cQK2yZVHDxj6bTz4Ru0Ft29ZDrVp5f96lS05Yvx5wdS2Ddu1KWWRs5lo3XLoExMW5wt1dQv/+jeHmZsZBPkeSgCFDJMTHO6F8+ba6Vi824+ZNAIDk6oqwjh3toLGzunTbDPXrA2XKqD0cu6DENsPMmSIj6dAhBO3alc73cpydNVi7Frh58yW0a1fUTKNTwblz4tLfH+06dFB3LHbA6epV4I8/UCIgAMXyuM0gzpIAKlQI5jZYNmLZQksVqgfpf/31F1asWIFz584hMTERly5dAgCcO3cO69evx7vvvoviJjYGz8jIQM+ePbFr1y707dsX77//vjmGruPu7q6buDQzV1dXs3zJye24EhJcwP1sKyDKewAAzqGhcLa3f5Rn/+GcExLs771ZAXOtFyiPnm1cOAcG8v+zqXx9gcREcYqrGT9L+Th1YKDGYf82uF5QkCTp+p26Fi6cp//L8hQLcXGO+380Rza8zSD3SA8KcjVqlVbqWXZ++7YTXF0tW51o6rrh6FFxWauWBt7elv/3qVQJOHwYuHTJFS+/bPGXM6+EBACAJiAArpY84uAo/PzENkNSklm3Gciy2wxnnhWh16xpWu7QuLG4vHxZgydPXBEUZPrYVJF5vcD/x6Z7ts3gFB8Ppzx+ns/+CVCggOW/c20R/1+qQ7X/iRkZGXjnnXfw9ttvY+3atbhy5QquXr2qu79AgQL48ssvsXTpUpNfp3fv3li+fDnee+89/PTTTwb3y5XoOVWcy0d4cqpYV4L80rkUxZOSrl4VE2u5ugL16qk9GvOz4KSCRIrjZKPmk48JgvLi0SNxyYlGSRFJSfoep5xs1HQ2OqlgUpL4AfI32ShgG5ONHjggLhs0UOb1qlQRl2fy3xFCPZxQ0LxsdN3gyO7fBx48ECdjmHpGSYEC+mXI6yGbxP0I88rHekHOwNghiqyJakH6zJkzsXr1avTr1w9PnjzB559/bnB/kSJF0LRpU2zcuDHfr5GRkYFevXphyZIl6N69OxYvXgyn5/payb3R5V7pz3tRD3UlyEE6t0OsxJ494rJOHcDTU92xWAI3fMmecAPYfCyUJjJIJ0XJYZmzM+Djk6enWOgYkn2w0W0GuRrd2Vn/75tXcpB++zaQbuXznh08KC7r11fm9eTg7OxZZV7PrBikmxePQNqc08+mfAgJAcwxzVvDhuJy3z7Tl6UarhfMKx/bDPJDVaxrJcpCtSB98eLFqFevHubNmwc/Pz9osulDV65cOYMqdWPIIfrSpUvxzjvvYNmyZbq+6JmVL18exYoVQ1RUFBLk80aeSUhIQFRUFEJCQnKcaFQJrEhXQGysPnB7ETlIb9LEcuNREyvSyZ5wA9h8LLRuYJBOisq8TshjD2R5vy85WV/MTs/YeJBesKDxrbCLFhXzzaWliQpOa5Waqm/twiA9D+R1Aw+8m4eNrhscmRykV61qnuW98oq43L/fPMtTBfcjzCsfB9hYkU7WSLUg/dKlS2jatGmujwkMDMQjeQ/bCHI7l6VLl6JLly74/fffsw3RAUCj0eDDDz9EfHw8Jk6caHDfxIkTER8fj759+xo9BnOSVxp5DdLT0oBr1yw2HPtz9aooLypYEChUSHzrf/ABMHEi8GziTYMPPypKXNprkM4NX7InrEg3H7Z2IXsgrxOM2CnOXLHMY8zPsdFtBjlIz896x8UFKFZMXH82P6VVOnkSSEkRm7dlyyrzmnJrl3PngIwMZV7TbBiYmRdP5bE5cpBerZp5lidXpB88KPIJm5SPbQbKRT7WC6xIJ2uk2mSjnp6eOfYll12/fh0B+Vhpff3111iyZAl8fHxQoUIFfPPNN1ke07FjR9SsWRMAMGLECKxbtw5TpkzB0aNHUbt2bRw5cgTbtm1DvXr1MHjwYKPHYE7GVKSnpABt2gCRkcA//wAtW1p0aPZh2jT9nvGjR+Inu0PnhQsD5cvrGz82aqTcGJVkozvFRFkkJ4sfgEG6ObAinexBPsIyV1fAw0OsTmJjje+pbddstP9g5or0/HjpJdEj/dYt5aq9jSX3Ja5f3/iq+/wKCQHc3ET/+evXxe82g0G6eXF/wuacOiUuzVWRXqWK2HSMixMhfY0a5lmuoniminllXi9IUp6+nORVCCvSyZqoFqTXqlULW7duRXJyMjw8PLLc//jxY2zZsgXNmjUzetnXnpVjx8fH49tvv832MaVLl9YF6d7e3ti5cyfGjx+PtWvXIiIiAsHBwRg2bBjGjRsHT5X7YOc1SJckoHdvEaIDwPLlDNJf6P594LffxPWNG4HixYGLF7P+3LsnZl958EA8tlo1EazbI7Z2IXshb/xqNMY3waWs2COd7EE+wzI/P32QTpnYaFgmr3dMCdIB655wVOn+6ICo1q9QQQRyZ88ySHdoNrpucFSSZP7WLs7OYv3zzz+iT7pNB+lcL5iHvF5ITxdHXPPQjF/OwFiRTtZEtSB90KBB6NSpE9566y38/PPPBvddvnwZvXv3RkxMDAYNGmT0shcvXozFixcb9Rx/f3/MnDkTM2fONPr1LC2vxT7jxonwXLZxozit0km1Bj42YPZssWdcvz7Qtq0I3LL7lo+NBS5dEqH69evisfaKG75kLzKfjskVoelYkU72wIQg/f59HmPOwka3GcxRkQ4wSM9O5cr6IL1dO2Vf2yQMzMzLRtcNjuruXbHZ7OQEVKpkvuW+8ooI0vfvB/r3N99yFcPWLubl7S3yFkkSG1R5CNJZkU7WSLUg/c0338TIkSMxZcoUlCpVCt7e3gCAoKAgPHr0CJIkYcyYMWjJkuo8VaQvXixaegPA3LnAiBHiC/HoUaBOHYsP0TbFx4sPCxAfWG6nFvn5AbVrix97xw1fshfsj25e7JFO9iCfYRnb/ebARrcZ7D1Ij4kRfcoB5YN0uU+6zU04ysDMvCx0FhtZhlyNXq6caGVmLnKf9H37zLdMRbG1i3k5OQE+PmK9EBsLFCmS68MliRXpZJ1ULdGbNGkStm7dig4dOsDLywvOzs7IyMhAmzZtsHnzZkyYMEHN4VmNF002+u+/gDwf6ujRwIABQKtW4veNGy0/Ppu1cKHYaC5fHujYUe3RWA+2diF7weoy87LATrEkMUgnheVzp9hG82LLs9EPxpTJRgGgRAlxaa2TjR4+LNavISHKdyKsXFlcylMK2QxuM5gXjz7aFHP3R5fJQfqFC/rtPZvC9YL5GbHdkJQkusBkfhqRNVD9XPdWrVph3bp1uHv3LlJTU/Hw4UNs3LgRYWFhag/NauRWkX7mDNC5s5gJ+513AHle1Q4dxOX//qfMGG2OVgvMmCGuf/65aOJGgvwtlZoqZq8lslWsSDcvCxxkS0zUr2YYpJMi8ll1yuLKHMgfTEKCfm/XBth7RbpabV0AfZB+9qwI820GAzPzstGDbI7K3P3RZYGBomYN0E+AbFO4XjA/I9YNcv7l5CS6whBZC9WDdHoxOUhPTRXtvGV374regzExQOPGor2L3AZY7kl46JCYJ5Oe8+efooyoSBHggw/UHo118fHRX+fGL9kyBunmZYHqMrk6yc2NG8ikELZ2Ma/MEznb0FEGc002Gh0t5iOyNmoG6RUqiP2Rp09tbB+EgZl5MUi3KXKQXq2a+Zf9yivicv9+8y/b4rgvYX5GVCZk7o+eWxdeIqWpFqSXLVsWffv2xR9//IHo6Gi1hmETfH31Kw55ZZKYCLzxhpj3slw54O+/DfuZBQfre6Nv2qTocK2fJAFTp4rrn31m3kZw9sDZWZ9o2dBOMVEW3Ck2LwtUpGdu68INZFKECZONAvxazMLNTb8dldtkPlbG1Ir04GCxztJqgQcPzDcuc5AkfeVngwbKv76HB1CmjLhuU+1duM1gXgzSbYYkWa4iHbDhPumSxPWCJRhRmSBvVrCtC1kb1YL09PR0/Prrr/jggw9QsmRJVKhQAf369cOff/6Ju3fvqjUsq+TkpF/fxMSIM2fffVdUmxcsKILyQoWyPq99e3HJPunP2bxZNILz8QE+/ljt0VgnbvySPWAViXlZIElkf3RSnIlBOr8Ws2GDH46pQbqrqwjTAetr7xIdDdy5I+oiatVSZwyZ27vYhIwMfWLDwMw8ePTRZty6JVbfLi7ijBJzkyvSDxywqQ5ghi3LuF4wHyO2GeSHcKJRsjaqBenXrl3DlStXsHDhQvTo0QNJSUlYsGABevTogeLFi6Ny5coYMGAAVq1apdYQrUrmCUeHDxcV6G5uwLp1+r5jz5OD9G3bRFsYekauRu/Xj1+KOeGEo2QPGKSbl4Ur0okUwdYu5mfDQbop6x65vYu1TTgqt3WpXh3w8lJnDDYXpMfH63v0cN/APGxwveCo5Gr0ChVEvmBu1aqJk53j4mxonQDo9yNcXQFPT3XHYk+MOMjGinSyVqr2SC9dujR69eqFZcuW4ebNm7hw4QJ++eUXdOvWDQ8fPsTPP/+MHj16qDlEqyEfhZsyBZg5U1xfsgRo0iTn59StCwQFiXXU7t2WH6NNOHAA2LlTfCEOHqz2aKwXN37JHvB0TPOyYI90BumkGHm9YOQBNhZX5sLGthmSk0WLRCD/FemA9U44qmZbF1mVKv/P3n2HR1F9fQD/bnojoZNQQ0cFpFcpoYggUhSkSrEhdlBsPxSwIYqF144ooKKigCAovfcuvUQg1NBCTQip8/5xmGxCejJ19/t5njwz2Z3s3mw2d++cOfdc2domaKb2C+lLFVHhpL/4bsWFBCiNnmVdAMl0b9xY9m1VJz39eIH1B7XDjHRyAZZZbDQuLg7//fcfIiMjcejQIVy+fBmKoiDArFQKi1E7j1mzZPvee0Dfvjn/jIeHc9FRlne5ZcIE2Q4Y4DwDosxsdlJMlCVmpGtL7Rfi44HkZE0ekoF0MlQh6p0yIz0HNhszqNnonp6Fy3KzaiDdzIVGVWpGum1qpKfvFxgw04b6z6UoUiKDLGvvXtnqFUgHbFonnQk5+mCNdHIBpgXSb968ieXLl2P06NFo0aIFihcvji5duuCLL75AsWLF8Pbbb2P9+vW4pI523Vz6q3CPPQa8/nrefq5rV9kuWKB9m2zn0CGpiQNIfRzKHku7kCtgIF1bar8AyDR4DTCQToaKjS1wvVObxYqNZbMXRz21KGySoRUD6SkpwLZtsm9mIL1WLdmePeuMRVkaA2ba8/eXq1WAbfoGd6V3RjrgrJNuq4x09TyC/YK2mJFOLsDLrCcuVqwYEhMT4ePjg6ZNm+KNN95AREQEmjVrBh89inPZXNmysu3QAfj667wP/Dt2lComkZHylV09da317y9x6zVrpCaaJUycKFkRDzzgnHNKWbPZSTFRlnhirC0fH/lKTJS+QYPXlYF0MpTaJxSg3ilLu+TAZmOGwi40qqpQQbZWqpF+8KBcLwoKcmaFmyE4GChXThY+PXDAGUSzLI4XtOdwyBvh8mXpG8qVM7tFlIXUVOfMkdq19XseNSN9/375d7PFv1oBS8FRLlgjnVyAaRnpCQkJUBQFTZs2RZcuXXD//fejVatWDKJnY+xY4KuvgDlz5Pwvr4KDgdatZd+o8i6bNgG//grs2AGsWmXMc+YqOhr48UfZf/VVc9tiBzY7KSbKEjPStafxbBUG0slQhSjfwNIuObDZmEGLhUYBoHJl2f73X+EeR0tqffRGjZzJwGaxVZ10BtL1wSuQlnfihFTe8fEBqlXT73lKlwaqVJF9tfyU5bFf0Acz0skFmBZI//PPP/H888/j8uXLeP3119G0aVMUL14c3bt3x6RJk7Bnzx6zmmZJ5csDw4dnnFmfV/ffL1ujyrv83/8599evN+Y5czVpkmRRtmgBtGxpdmusj6VdyO5SUpyjLwbStaPxSTED6WSoQpwU2yxWbCybvThaZaTXrCnbM2es86tboT66ylZ10hkw04fN+gZ3tHu3bGvVkkVB9aRmpdumvAv7BX2wRjq5ANMC6d27d8dnn32GXbt24fz585g5cyb69++PI0eOYMSIEahXrx5Kly6NPn36mNVEl6HWSV+zRv9xzJkzwB9/OL/fsEHf58uTa9ekHg7AbPS84sCX7E4deQEcAGtJ47RcBtLJUIWYpp3+GpKiaNckl2CzMYPa7xQ2kF60KBAaKvuHDhXusbRixUA6M9LdGKfyWN6uXbK9+279n0st8WSbBUc5s1UfzEgnF2BaID29EiVKoFevXvjyyy+xZMkSfPTRRyhZsiQuXryIWbNmmd0826teXb6SkoClS/V9rq+/BpKTgfBw+X7LFnleU337rfTCd9zhvKpAOWNGOtmdOvgNDMxfPSzKGUu7kJ0VYuEw9a2flAQkJGjXJJdgs0C6VhnpgHNRzYMHC/9YhXXjhjO7tGlTc9sCMJBOsF3f4I6MDKSrGembN0ttdstjv6CPfMxuVbsOZqST1ZgeSL9w4QJ+//13DB8+HLVq1UKFChXwyiuv4MKFCwgLC0O/fv3MbqJLUMu76Fkn/eZNiVkDwIQJcoISHw/s3Knfc+YqIQH47DPZHzUK8DD9LW8PHPiS3TGLRB8alnZJTnaeozCQToYoxElxUJBzn9eYb2OzMYOrBtJ37pSqZmFh1ljXUa2RHhUlQX5LY8BMHzbrG9yRkYH0u+8G/PxkiH74sP7PV2jsF/SRj35BnWDMjHSyGtOiis8//zzq1KmD0NBQ9OvXD99++y2uXLmC3r1746uvvsLBgwdx+vRp/Pzzz2Y10aWoidj//KPfFeDffgMuXAAqVAAefFDKkQMml3eZMUPqzZQtC/Tvb2JDbIYDX7K7QmSeUg40zEhX/0QAr3eQQQpxUuzp6Qym86PxNjYbM2i12ChgrUB6+rIu+VxLVxelSslrrCjWKX2TLQbM9MHFRi0tNhY4ckT2jQike3vLQsiATeqk81xCH+q5RGysXP3NATPSyapMC6R/8cUXOHv2LHr27In/+7//w969e3H27Fn89ttvGDZsGGrUqGFW01xSq1bSZ507B2zfrv3jK4pzkdFnnpHFStQ1PU1bcDQ1FfjwQ9kfMQLw9TWpITbE0i5kd4WohUw50LDeqVrWpWhR/Re4IgJQ6GAZy/1mw6aBdFfLSLdSfXSVbcq7MJCuD5v1De5m7145hw8NlQtfRrBVnXSeS+gjfVQ8NjbHQ5mRTlZl2qnrv//+i7p165r19G7Hxwe4915g9mwp79K4sbaPv369TCn18wMef1xuUzPS16+XD2nDs2Pmz5cUmJAQ4MknDX5ym+PAl+yOpV30oWF2Geujk+EKGSwLDgaio3mNORObjRm0WmwUcAbSIyOlXJWZFwU3b5atFeqjq+68E1i3joF0t8Wrj5ZmZFkXlVon3RYZ6ewX9OHrK9MTkpJkQJVNlDw11TneYkY6WY1pGekMohtPrZO+YIH2jz1pkmwHDnQGRRo3lj4yOlrqIxpKUaRQOwAMH87eN79sdlJMlAmnY+pDw9kqDKST4QqZXcaYUDZsNmbQMiO9QgXA31/iAceOFf7xCurCBefzq6UTrEDNSN+/39x25IoBM33YrG9wN2YG0vfutcFFaZ5L6MPhyFPfkP79wVAOWY3pKy9GRUXhvffeQ+/evdGpUyf07t0b77//PqIMj7y6vi5dZLt9uwS3tXLiBPDnn7L//PPO2/39gQYNZN/wOuknTsicMS+vjI2ivEkfLFMUc9tCVBCcjqkPHUq7MJBOhtEgIx1gTCiT9DNV9FqIR0NaBtI9PICaNWXfzPIuW7fKtlYta02BZ2kXN8dO09LMCKSXLQtUrCgfFWq/ZUkpKc73Lc8ltJeH8wn1Lh8fqXpAZCWmBtInTZqEmjVr4q233sLs2bOxdOlSzJ49G6NHj0bNmjUxSU1zJk2UKeMs6bJwoXaP+9VX8lkTEQHUqZPxPtPqpB8/LtvwcCAszOAndwHqwDclBYiPN7ctRAXB0i76YEY62Vkhs8u4bl421BdGUYC4OHPbkouEBGcTtep7rFAn3YplXQBnID0yUrL2LSk11VmIl4F0bTGQblmpqcDu3bJvZCAdsEmd9PTvWStdnXQVeegb1G6Z2ehkRaYF0hcsWIARI0YgJCQE7777LjZs2IBjx45h48aNeP/99xESEoKRI0fi77//NquJLqlrV9lqVd7lxg3gu+9k/4UXMt+fvk66oU6flm25cgY/sYsIDHQWtefgl+yI0zH1wRrpZGdcbFQffn7O4uAWf3HUjwYPD+1Ozq0QSLfiQqOAlL4JCpL68UeOmN2abMTGOmdScMygLV59tKyoKHnr+/g4Z9UYxRZ10tUPi4AAeZFIW3noG9ThBK9jkBWZFkj/5JNPULx4cezYsQOvv/46mjVrhkqVKqFp06Z47bXXsH37dhQrVgyffPKJWU10SWqd9KVLJSunsH75RabIhoc7g/TpqRnpe/YYfG516pRsGUgvGIdD08xTIsOxtIs+WNqF7IylXfSRx3qnVqD2O8WKSTBdC2YH0hXFuoF0h8P5+li2TrraL7B+gPZs0i+4I7Wsy113Gb9IspqRvmmThSuI8jxCX8xIJ5szLZC+Y8cO9OnTB+XLl8/y/goVKuDhhx/G9u3bDW6Za6tfXyqdxMYCa9YU7rEUxbnI6LPPAp6emY8JDQWqVJFjDb3qrGakZ/P+ojzg4JfsjKVd9MHSLmRXGpRvYHJlDmwyZtCyPrpKDRQfOGBOUOjoUfm9fH2BunWNf/7cWL5OevoLbOpsTNIGp/FYlhn10VX16sl1q4sXLTxThesm6CsfNdKZkU5WZFogPTExEYGBgTkeExQUhMTERINa5B48PJyLjha2as6qVbLidkAA8Nhj2R9nSnkXlnYpPGakk52xtIs+WNqF7Cr94tks7aI9Nw6kV68u8dfLlyUwZDS1Pnr9+tasQGCrQDppyyb9gjsyM5Du6ws0aCD7lq2Tzn5BX8xIJ5szLZBeo0YNzJ8/H8nJyVnen5ycjAULFqBGjRoGt8z1qeVdFiwoXObM//2fbAcPzvkzRi3vsmFDwZ8r31japfA4+CU745RMfTAjnexK7RP8/ApcvoEZ6TmwyZhBj0B6QABQqZLsm1HexaplXVR33ilbBtLdkNovJCQATI6zFDMD6UDG8i6WxIQcfbFGOtmcaYH0QYMG4dChQ+jUqVOm8i3btm1D586dcejQIQwePNikFrquDh0kY+XIEeDw4YI9xrFjwLx5sv/cczkfqwbSN22SxYYMwdIuhWeTk2KiTBSFpV30kj6Qri7OVkAMpJOhNDgp5sdiDmzy4qiBdK37HTPrpFs9kJ4+I72QHxv6YCBdP+qYAeAVSAu5dk3O5QHzAunqgqOWz0jneYQ+mJFONmdaIP2FF15At27dsHLlSjRp0gRFihRB1apVUaRIETRt2hTLly9Ht27d8MILL5jVRJdVpAjQpo3sF7S8y5dfSqzq3nudA+Ts3HmndICxsbLoqO5SUoDoaNlnRnrBsbQL2VVsrPQDAE+MtZb+pDgursAPoygMpJPBNAiWsbRLDmwSSFf7HS0z0gHzAumJicCOHbLftKmxz51XVapIAk98PHDihNmtyQID6frx8pIpG4Dl+wZ3op6Ply+vfV+YV2pG+u7dhRpO6of9gr5YI51szrRAuqenJ+bOnYtp06ahbdu28PHxwYkTJ+Dj44OIiAhMnz4df/75Jzw8TGuiS+vaVbYLFuT/Z2NjgSlTZP/553M/3tPT+WFpSJ308+cl9d3DQ1Y7pYKxyUkxUSbq4Nfb23kCR9rw93euLF2Ii2xxcc5Z3madxJGb0eCkmKVdcmCTMYMepV0A8wLpe/ZI1YxixYCqVY197rzy8gLUSp2WLO/CzFN98Qqk5ahlXcxcnLh8eaBsWcl72bbNvHZki6Vd9JWP0i7MSCcrMj1KPWjQICxfvhwxMTFISkpCTEwMli1bhkceecTsprk0tU762rXOaTN59dNP8jPVqgGdO+ftZwytk66WdQkNldE7FQwHvmRX6cu6OBzmtsXVOBya9A1qVqiPD5DLuuNE2mBGur4YSAdgfCB91SrZNmli7Y87dfbq/v3mtiNLzDzVl036Bndidn10QPorS9dJ5wU2feWjtAsz0smKDA+kb9y4Ee3atUORIkUQHByMjh07Yota3I8MU7WqDPqTk4GlS/P+c4riXGT0ueck6TsvWrSQrSEZ6WognWVdCoepd2RXrI+uLw3KPqUv62Ll4A+5EA1OihkPyoFNXhy9A+nHjgE3b2r72NmJjgbefVf21ZmmVpW+TrrlMJCuL5v0De7ECoF0wOJ10tkv6CsfpV2YkU5WZGggfc+ePWjfvj1WrVqFuLg4xMbGYvny5YiIiMC+ffuMbArBmZWen/IuS5dKtk2RIsCQIXn/uaZNpRrAiRPAqVP5amb+qU/AQHrhcOBLdsXBr740uMjG+uhkOI1LuyhKoVvkWmwyZtBrsdHSpeWtpShAZKS2j52dZ5+Vt3XDhsBTTxnznAXFQLobY2KOpaSkOGukmx1IT5+RbrnPVJZ20Rcz0snmDA2kf/DBB7h58yb+97//4ezZszh79izefPNNxMfHY8KECUY2heDMXvnnH+e6fLlRs9GHDs3f1cGgIOeHte7lXdSM9PLldX4iF8fFRsmumJGuLw1LuzCQTobR4KRYfeunpgI3bhS+SS7FZoF0rTPSHQ5jy7vMng3MmSMVDL//3vqVDO+8U7YHDlgwYMZAur5s0je4iyNH5PPL3x+oXt3ctjRoIH3XuXPA8ePmtiUTlnbRF2ukk80ZGkhfu3Yt7rnnHrzzzjsoXbo0SpcujXHjxqFVq1ZYvXq1kU0hSN3ykBDgwgXpoOrUAbp3B0aMAL74QgLsBw86p6hGRgJ//y37zz6b/+czrLwLS7togwNfsisG0vWlwUW2kydlW7asBu0hygsNgmWBgc5SRPxovI1NxgzqRTw9Fjk2KpB+6RLwzDOy/9pr5meV5kWNGlIO8vJlCZpZCgPp+rJJ3+Audu+Wbe3azrXjzeLvD9SvL/uWK+/CfkFf+chIZyCdrMjQQPq5c+fQTC2GlU7Tpk1xznKjKtfn7Q28+KIMbG/cAPbuBf76C/jsM6l/fv/9MhUzIACoUAG49175uS5dCnYFW11wVPdAOku7aIMDX7IrDn71pUEg/fBh2daooUF7iPJCg37B4WCVgmzZYMyQmAjExsq+nQPpI0dKMPqOO4DRo/V9Lq34+QGVK8u+5cq7cMygL67SbClqffS6dc1th0oNDVluwVH2C/pS+4WEBPnKgtplsLQLWZGhgfSkpCQEBQVluj0wMBBJSUlGNoVuGTsWiI+XbPPFi4GvvgJefhl48EHJcAkKkimYp04BUVHyMy++WLDnUgPp//7rPJHRBUu7aIOlXciumJGuLw0iiWoNYbOnFZMb0eikmDGhbNggkK5+NDgc+pyYGxFIX7QImD5dfofvvwd8ffV7Lq1Ztk46A2b6skHf4E6sstCoSq2TbqmM9MREZ/029gv6UAdTQJbnE0lJEqMCmJFO1mTxinpkBB8foFo1+bqdosg02CNHgKNHpc/r2LFgz1OhgsS2T50Ctm4FIiIK1+4sqVF/gBnphcWBL9kVA+n60iCSyIx0MpxG9U6ZkZ4NG4wZ1ProxYrpU9IgfSA9NVVmfGrp+nVg2DDZf+EFZwDKLu68E1iwwGKB9NRUZ/0ABsz0YYO+wZ1YLZCuZqTv3CmBU39/c9sDwDle0OuqK0lx/IAAuWBx/TpQsmSGu9N3FwykkxUZHkj/+eefsem2uTv//fcfAKBLly6Zjnc4HPhbLcxNhnM4pF8rWRJo2rTwj9eyJTBzppR30SWQfu0aEBcn+wykFw7T7siumF2mr0LOVrl+HYiOln1mpJNhNOoXGBPKRvoXRlGcxeQtRK+FRlVVqkhs4MYNmRxZoYK2j//668CJE1Ii5d13tX1sI6gZ6fv3m9uODGJjJZgOcMygF159tIzLl6UPAaxT2iU8HChTRspV7djhnMFuKnW8EBys/RVRcgoOlg/MLAZU6vXNgADrL6ZN7snwt+V///2XFji/3aJFizLd5rDgQJwKLn0gXRdqWZeiRWVVMCo4deCrnmRwIEF2wYx0fRXypFgdApQqxbgFGUjtF1jaRR9qv5CcLKvUWyKtMCM9FxoFZO2hatUkI/3gQW0D6WvXAl9+KfvffWfPIa4lS7uo/YKvrxRyJ+3x6qNlqAuNVqpknfGXwyFZ6fPmSZ10SwTSNRovUC6KFAHOns2yb2B9dLI6QwPpx44dM/LpyIJatJDtxo06xWbVQDqz0QtPHfgqimT5p69lRmRlDKTrq5CRRJZ1IcMlJzsv/GiUkc7kytsEBkpERFGkb7BgIF3vjHRAyruogfSClkK8XXw88Pjjsv/YY0D79to8rtHUQHp0tGQbWiJAwhls+mMg3TLUQLpVstFVzZtLIH3tWuCll8xuDTQrBUe5yKFvUDPSWdaFrMrQQHqlSpWMfDqyoLvvlnOtq1dlamft2ho/Aeuja8fPT4qIpqTIBxwD6WQXPDHWVyFLuzCQToZLf5JWyOgdY0LZ8PCQF+fqVXlxypQxu0WZGBFIv+MOYO5cbRccfftt6TfDwoCJE7V7XKMFB8vw/PRpOQewRI13jhf0x2k8lmG1+uiqDh1ku2yZTGgyfXII+wVj5JCZwIx0sjpWHCJDeXlJrfUVK6S8i+aBdDUjvXx5jR/YDTkc8gF3+TJT78hemJGur0IG0iMjZctAOhlGPSkOCJAV1gvh9phQaqp0ORcvyteFCxm3ycmyQOSddxbqae0hfSDdgtRAeokS+j1H+gVHtbBzJ/DRR7L/9df2j+s0aCBD9UWLGEh3G7z6aBlWDaQ3aACULQucOQOsWgXcd5/JDWJpF2MwI51sjEWPyXBq7bMNG3R4cJZ20RYHv2Q3CQkyDx5gIF0vhaxtoWakc6FRMoyG07TVt/9XXwGlS0td7JIlJYB6zz1Az57AE08Ab7wBfPIJ8H//JwkEc+cW+qmtz+JjBqNKuwDaBNKTkx144gkvpKQADz8MdO9e+Mc0W//+sp0+3bnGp6kYSNcf62FZQnIysHev7FstkO5wAF27yv78+ea2BQD7BaPkMFuFGelkdQykk+HUOum6LDjK0i7aKmTmKZHh1MGvOqOCtMca6WQ3Gp4UqxeArl6VrHM1GBgSAlStKoumde0KDBkCjBoFtG4ta3b37AmMHWuR4KFe1D5XTSWzGL0XGwWAmjVle+ZM4a8n/Plndeze7UDx4sDnnxe+bVbQo4f8rxw/LpmnpmPATH/pL7ApirltcWORkVI2JTBQPqus5oEHZDt/vgXeJqyRbowcLr6rN/FUjqyKpV3IcM2bS4zryBHg3DmNy2iytIu2LJ5dRpSJOh0zJESH1YwJQKEusMXEOP9E1app2CainGgYLBswAKhYUQLipUpJNnqJEtlXjElKkoD6pEnAuHEytf7HH1102RGLjxmMyEgPCZFa5tHRwKFDQOPGBXucAweAmTPlauOkSTL7wRX4+QH9+gHffANMmwa0a2dygxhI15/aLygKEBcHBAWZ2x43pZZ1qVPHmsPj9u1ljeqTJ2VRVFOz5tkvGCOH2Srq9XhmpJNVWbAbJVcXEuKsja55VjpLu2jL4ifFRJmwPrr+0g9885k2pGajV6ggJ0xEhtCw3qmnJ9C2rQQA69SRoGlOZde9vYHPPgOmTpXj5s6VrPX//it0U6zH4mMGIwLpQOHLu6SkAMOGeSI52ROdO6diwADt2mYFQ4bIdtYsC7xVGDDTn7+/M3Jr+h/cfe3eLdu6dc1tR3b8/Z2Ljppe3oU10o3BjHSyMQbSyRRqeRdN66QnJADnz8s+A+naYGkXshueFOtP7RdSUpz16POIZV3IFBboF4YMAdaskQXV9u+XTOXFi01rjj5sEkjXc7FRoPCB9F9/BTZt8oC/fxK++CIFDod2bbOCJk2AO+6Qj48//jC5MRboG1xe+lJ7Fu0b3IFVFxpNL315F1OxtIsxcigVyYx0sjoG0skU6oKjmmakR0fL1sdH5lpT4XHgS3bDjHT9BQY69/N5kS0yUrYMpJOhLBIsa9oU2LZNMtKvXAG6dAE++sgC9WC1YvExg10y0mfMkG23bkdQoYI2bbISh8OZlT5tmpktgWX6Bpdn8b7BHdghkK4uOLplC3D2rIkNYb9gjBxKuzAjnayOgXQyhRpI37493wmN2Utf1sXV0nfMUshFBYkMx0C6/jw8CjxbRc1IVxdsJDKEhbLLwsJkkcXHHpM666+8AgwcCNy4YXbLNGDhYFlSkrNZVg6kX74MLFsm+61andauURYzcKB8lKxb57zAagoGzIyRQ8CM9BcT4zxNtmppF0A+Hxs1kv2//zaxISztYowcxgxqRjoD6WRVDKSTKSpXlkVGk5IkmK6JU6dky7Iu2uHAl+yGJ8XGKOBFNpZ2IVNYrF/w9QW++w744gvAywv45RfgnnuAEyfMblkhWTiQrsZFAP3fBmogPTISSE7O38/Omyc/c9ddCsqXj9W+cRZRtizQqZPsT59uYkMs1je4LAv3De5AzUavUsX6C11boryLhS6+u7Q81EhnaReyKgbSyRQOhw7lXdRL7eXLa/SAxIEv2Q4z0o1RgIx0RWFpFzKJBYNlDgfwzDPA0qVSjW7nTsnEMzU7t7AsPGZQy7oULSoLxuqpfHkgIECSRY4dy9/Pzpol24ceStW+YRYzdKhsp0+XJTdMYcG+wSVZuG9wB3Yo66JSA+lLlwI3b5rQAEVhv2CUPNRIZ0Y6WRUD6WQa3QLpzEjXDku7kN0wkG6MAgTSz5yR8hWenkB4uD7NIsqShadpt20rddNr1wYuXAAmTza7RYVg4WCZUQuNAlKypGZN2c9PeZcrV4AlS2T/wQddP5D+wAPyUX3qFLBihUmNYMDMGDyfMJUaSLdyWRdVvXpyMfLGDZP6hRs35CoowH5Bb3mokc6MdLIqBtLJNC1ayHbDBo0W2mJpF+2xtAvZDU+KjVGAvkEt61KlCuDtrUObiLJj8X6hUiXgxRdlf+dOU5tSODYIpOtdH11VkDrpf/0l8Zs775QvV+fnB/TrJ/umLDqamupMe7Ro3+AyLNw3uIPdu2Vrh4x0h8O56Kgp5V3U8YKnJxAYaEID3Ej6fiFdMEhRmJFO1sdAOpmmQQMZRMfEOAMshcLSLtrjwJfshhnpxihAdhnLupBpLB5IB4D69WW7Y4dGyQVmsPCYISZGtlYOpKtlXXr10r49VqWWd5kzx/lvapjr153/bBbuG1wCE3NMk5QE7Nsn+3YIpAMZ66Qb/nmYvj66w2Hwk7sZtV9ITc2w4vrNm871RZiRTlbFQDqZxscHaNxY9jUp78LSLtorQPkGIlMxkG6MAvQN6gXT6tV1aA9RTmywcNhdd8nCo5cv23jRUQsH0q2ekX71KrB4sez37q1Pm6yoYUN579+8Cfz+u8FPrvYLvr6S2UP6sXDf4OoOHQISE2XYZpeyeu3ayToTp0+bMEvLwqXgXE5AgNRCAzL0DWo2usPBSQFkXQykk6nU8i6FDqSnpjKQrgcOfMlubJB56hIKUdqFGelkqKQkIC5O9i3cL/j6SkARsHF5FwuPGcwKpB84kLeMygULJNhVq5bzfeAOHA5gyBDZN7y8C8cLxrFw3+Dq0tdH97BJ5MfPD+jYUfYNL+/CfsE4DkeWiTlqNxEcbJ/3LLkfvjXJVOqCoxs2FPKBLl6Uk2WHAwgLK3S76BYuDkR2w4x0Y7C0C9mFmtoEWL7YZoMGsrV9ID0hQb4sxMjFRgGZeeNwyEfShQu5H//HH7Lt1cv9qgkMHCjliDduzF8pnEJjwMw4PJ8wjZ0WGk0vfXkXQ9lgBptLyeIiG+ujkx0wkE6mUjPSDx50xr8KRM1GL11aasaQNtRPsBs3gJQUc9tClJuUFOfoiwNgfeWztEtyMnDkiOyztAsZSh1cFCkitVMsTK2TbttAutovAJYrCWd0Rrq/v7OMQm7B4evXgUWLZN+dyrqoQkOBzp1lf/p0A5+YgXTjMCPdNGog3S710VX33y/b7duBM2cMfGL2C8bKom9Qd1kfnayMgXQyVYkSzgRyNchSIKdOyZZlXbRl4ZNiokzSn6BxAKyvfAbSjx+XSUN+flwPmgxmo5Pi9AuO2pKnp7OgqcUCZkYvNgrkvU76ggWSwF+9OlCnjv7tsiK1vMuPPxqYt2GjvsH2uNioaXbvlq3dAumhoUDTprK/YIGBT8wa6cbKYrYKM9LJDhhIJ9NVqSLbo0cL8SBqRjojNNry9XVm+FvspJgoE3XwGxDAmSl6y2d2mVrWpXp11jskg9koWHb33VLW4/TpvJUDsSSLZp4anZEO5D2QrpZ16d3b/cq6qLp2lb/NmTPA0qUGPamN+gbbs2i/4OrOnwfOnpV+xY4X6Uwp78LSLsbK4iIbM9LJDng6S6arXFm2mgTSmZGuPWaRkF2wPrpx8pmRri40yrIuZDgbnRQXKQJUqyb7ti3vYtGAmVUD6bGxwMKFsu+OZV1Uvr7AgAGyb9iiowykG8ei/YKrU8u6VKvmnCxkJ2ogfdkyqTJqCPYLxsqhtAsz0snKGEgn06kZ6ceOFeJBWNpFPxz8kl1w8GucAgbSudAoGc5m/YLLLDhqsTGDVQPpf/8N3LwJVK1qv9ILWlPLu8ydW8h1k/LKZn2DrVm0X3B1dq2PrqpTB6hYUfrI5csNelKWdjFWDouNMiOdrIyBdDIdS7tYXD4DZkSmYUa6cfI5U0Ut7cJAOhnOZsEy2y84asGAWXKy88S8RAnjnlcNpEdFAfHxWR8za5Zs3bmsi6p+fQmcJSQAv/1mwBPaaLaK7annEjdvAomJ5rbFjaiB9Lp1zW1HQTkcJpR3sdmYwfayqJHOjHSyAwbSyXSaBtKZka49C54UE2WJgXTjZDHwzQlLu5BpbJZdxkC69tJnNxv5NihVSj6OFMV5MTG9uDjJSAeAXr2Ma5dVORzOrHRDyrswYGYcdcwAMDHHQHbPSAecgfQFC4DUVAOekBfYjJVFYg4XGyU7YCCdTKcG0o8fl6yhAmFpF/3kM2BGZBqeFBsnHzNVbt6U/h1gRjqZwGb9ghpIP3zYpvEmCwbSL16UbUgI4OVl3PM6HDmXd1m4UDLVK1d2lvRxdwMHyt9oyxZg/36dn8xmfYOteXsD/v6yb8uOzX4SE4EDB2TfzoH0tm2BoCAgOhrYscOAJ7TZxXfby6FGOku7kJUxkE6mCwuTRYZSUoCTJwvwALGxzh6XpV20x8VGyS6YkW4cNZCemCjz8HNw9KhkZIaESIYmkaFsFiwrVcqZE6BmE9qKBQPpaq6FGUPEnALpf/whW5Z1cSpdGujSRfZ1z0q3Wd9gexbsG1zZgQOSoFa0qNQZtytfX+Dee2XfkPIu7BeMlUONdGakk5UxkE6m8/AAwsNlv0ALjqplXYoUyTh1kLTBgS/ZBQPpxsnHNO30ZV0YLCLD2XCatq0XHLXgmOHECdmaEUzKLpB+44aUKgBY1uV2anmXn34qxEzVvGDAzFgW7BtcWfr66HYfexlWJz011RnFtdGYwdZyqJHOjHSyMgbSyRIKVSedZV30xdIuZBecjmkcL688T9NWA+ks60KmsGGwzNZ10i0YLFNnO1aoYPxzZxdIX7RIgumVKgGNGhnfLiu7/36gZEng7Flg8WIdn8iGfYOtWbBvcGWuUB9d1aWLXAzYudN52q+L69dlCiXAKK5RWCOdbIqBdLKEQgXS1Yx0lnXRB0u7kF3YMPPU1vJYJ11dZI+BdDKFDYNlDKRrywoZ6YcOZVwoTy3r0quX/bNFtebjAwwYIPtalnc5fhz43/+A0FCgRg0FsVdupbvbqG+wNSbmGCp9RrrdlS4NNGsm++pMHl2oCTl+fvJF+mONdLIpBtLJEjQJpDMjXR8WPCkmyhJLuxgrj31D+tIuRIaz4UwVNZC+d2+uSxBYjwXHDGZmpFeuLOss3rjhzKSMj3cGg3r3Nr5NdqCWd/nrL+CDD4A9e5yJovmRkgL8/TfQtav8Ld5/Hzh3DoiMdGAh7pODGK0xBhNzDKMorpWRDhhU3oUJOcZjjXSyKQbSyRIqV5YtS7tYEDNIyC5sGDCztTxmpLO0C5nKhhnpFSvKeXxyMrBvn9mtyScLBtLNzEj39gaqVZN9tbzL4sVAbKwE9ps0Mb5NdlCvHtCqlaxn/frrklUbHg4MHy4XIW7cyPnnz58Hxo+X175rVwmmKwrQoYOUjgGAuejBzFMjWbBvcFWbNwMXL8o6ZHfdZXZrtKEG0pcvB+LidHoSG44XbO+2c4nUVOdpBa9xkpUxkE6WoGakF2qxUZZ20QczSMgumElirDwE0q9flzq3ADPSyQQ3b8oXYKsTY4fDxguOWixYpijOQLoZGelA5jrps2bJlmVdcrZgAfDFF1If2c9P/o7ffCMBtRIl5PYvv3SeOygKsGYN0K+fnBK88QYQFSVDgpEjpbzO0qVyOwD8jfuRGFLKtN/P7Visb3BVV686SyP16wcEBJjbHq3cdZdcTEtIAJYt0+lJmJBjPLVfiIsDUlIQG+ucfcSMdLIyBtLJEtSM9IsXCzC+YmkXfTEjnexAUVjaxWh5CKSr9dFLl2ZmCZlAnR/scNjujMy2ddItFiyLiXFeSzEr3+KOO2R78KC05a+/5HuWdclZcDDwzDOSTR4TI4H14cNlZsHNm8DChcCzz0oyzp13ArVrA23aAL/9BiQlAU2bSo3106eBjz92zopq2hQoUywRV1EUq306mvo7uhWL9Q2uSFGAp56SGd7h4XKhyVU4HAaUd2FGuvHUcwkAuH49rXvw9uZkIbI2BtLJEoKDgZIlZT/fWeks7aIvZqSTHcTFSR0EgANgo+ThpJhlXchU6klxSIjMcbcRBtK1oWajlykD+Pqa04b0GelLlshwqlw5CehS3gQESEmWr76SLPO9e4EJE4DWrQFPT+DAAWD/fjnuiSeAHTuATZuAwYMBf/+Mj+XpCTzQ6AwAYG5iF+N/GXfFxBzdTZ0qF5I8PYFff3W9BAY1kL5gQcbFmzXDma3G8/WVFaYB4Nq1DPXROWOLrMxeZxXk0gq04GhSkqwaBLC0i14sdlJMlCV18OvlBQQGmtoUt5GPjHQG0skUNs4uUwPpu3bJgom2cds0bbOpC42aUR9dlT6Qnr6si82u7ViGwyFlHl55BVi9GrhwAZg5U7LPz5wBJk92/v9kp8dd/wEA5l1pU6BFTKkAeD6hqwMHZIYGALz3HtCsmbnt0UObNjL0PHcO2LZNhydgaRdzpEvaU8M6vJZBVschHFlGgRYcPXtW5rF5ewOlWOdQF8wgITtIX9aFKQzGyEMgXc1IZ310MoWNA+k1akh2bVyc84KULdw2TdtsZi40qqpZU7bR0cCff8o+y7pop1gx4OGHJfs8rxm47csdRCBicTqhJLZv17d9dAtnuOomPh7o21e2HTsCo0aZ3SJ9+PgAnTrJ/ty5OjyBjccMtpbuItvWrbJ7993mNYcoLxhIJ8so0IKjan30sDCm9uhF/XBLSAASE81tC1F2mEViPJZ2Iauzcb/g6QnUrSv7tirv4uvrrKFigQvwaka6WQuNAtJVli0r+7Gxst+8uXntIcAvLgadsRCATgE5yowZ6bp5+WVg925Zj+bHH137lLhXL9lOny4T0zXF0i7mSNc3bN4su644o4Jci0t2sz///DOGDRuGRo0awdfXFw6HA9OmTcv2+GvXrmHkyJGoVKkSfH19ER4ejlGjRiE2Nta4RlPBSruo9dFZ1kU/FssuI8oSB7/GyyUjXVEYSCeT2Ty7rEED2doqkA5YKmBmhYx0wFneBQAeesi1A122cPkyemAuAAbSDWOhfsGV/PmnrB0ASBA9NNTc9uitRw+5YHDmjHPhZs3YfMxgW7fOJ5Sr17Bpk9zENUTI6lxyGDd69GhMnjwZx48fR1hYWI7HxsXFoU2bNvj0009Rq1YtjBgxAjVr1sTEiRPRrl073Lx506BWU4EC6WpGOhca1Y+Xl3OlJg5+yarSl3YhY+QSSI+JcZ6TVK1qTJOIMrD5BTYuOFp4VshIBzIG0tWMSjLRlSvogn/g5ZGCfftsVj7JrizUL7iKEyeARx+V/VGjnGVPXJmvL/D447L/9dcaP7iNZ7HZ2q2+4dSJVERHy4y8hg1NbhNRLlwykD5lyhRERUXhwoULeOqpp3I89sMPP8S///6LV199FYsXL8YHH3yAxYsX49VXX8XWrVvx6aefGtRqSl/aJc8rcTOQbgzWNSSr4+DXeLn0C2o2esWKzmtxRIayeXZZ+kC6rRZEtFDAzGoZ6aGhQMuW5raFAFy5gmK4gjY1ogEA8+aZ3B53wDWXNJWcDPTvLx9zTZoA775rdouM8+STMqtn+XJZxFkzNr/4blu3xgyb9gYBkLJ2AQFmNogody4ZSO/QoQMqVaqU63GKomDKlCkICgrCm2++meG+N998E0FBQZgyZYpezaTblC8vVyATE2W6Vp6wtIsxLHRSTJQlDn6Nl8tJsZrhx7IuZBqbB9Jr15ZJYTExzsxqW7DImCE52TmeNDsj/aGHgEaNJNjl6WluWwhpfUOPZucAsLyLIdJffLfVlUFrevttYP16eVl//VUW4nQXlSoB998v+998o+ED23zMYFu3+obNkcUBsD462YNLBtLzKjIyEmfOnEHLli0RGBiY4b7AwEC0bNkSR48exUlbnb3Yl5eXfDAC+VhwlBnpxsilhAOR6VjaxXi59AtqRnr16ga1h+h2Nj8p9vUF7rxT9m1V3sUigfQzZ2SGo7c3UKaMqU1B2bLA1q3AY4+Z2w665Vbf0L29rIe1YQNw/ryJ7XEHar+QmgrcuGFuW2xu1SpHWgb6t986Z3W7k6eflu20aUBcnEYPytmt5rh1PrEpSgr8sz462YGX2Q0wU+StdLnq2ZzlV69eHYsXL0ZkZCQq5JDKkpCQgISEhLTvr906cUhKSkKS5stJu7bKlT1x9KgHDh9ORrNmuWcreJ0+DQeA5DJloPC11o1nkSLwAJB86RJf5wJS+wL2CfrwjImBB4CUIkWQytfYGH5+8AagXL+O5Cxe84MHPQF4oGrVFCQl5bVel3thv6Avz0uX5LMrKMi2n1316nli924PbNuWgi5d7PF/5BkUJP3x5cum9sdHjzoAeKF8eQUpKclISTGtKfnGvkFfXleuwAEgrLIXGjRIxY4dHpg7NxlDhzJTWjfe3vDy8IAjNRVJMTHulUKtkaSkJFy96oPhwz2gKMDQoal46KEUuGM3EREBVKnihaNHHfj552Q8+mgh/3eTkuB9KyKfFBgIt3xRTeIRGIhUeGH7OUmMbNgwiS9/PnCcYA63DqRfvXoVABASEpLl/cG3rpyrx2Vn/PjxGDduXKbbV65ciQAWeMoXT8+7AYRj6dL/ULLkoZwPVhR0PXECngBWRkbiBsuO6KbJjRsIA7B3wwYcDwoyuzm2tnTpUrOb4JKaHD6MMAB7Tp3C8X/+Mbs5biHg3Dl0hATL/sniNd+xoy2AEFy5sgX//MNUv5ywX9BH66goFAOw/cgRnLVpv+DjUwVAHSxZch6NGm0xuzl5UvfyZVQGELl9Ow6Z+LqvWVMOQCMEBMTgn3/Wm9aOwmDfoI8uFy7AG8DqXbtQq1Zx7NhxB7777iLKlNlsdtNcWmd/f/jExWHNggWI5WzifFMU4PPPmyI62gPly19Hp06r8c8/NrpCqLHWravi6NHa+PDDWJQpsxoOR8Efy+faNXS+tb9wwwYorMFlmCqnTiERdXEzxQeBgYmIjFyII0fMbpV93OAMH1O4dSBdK6+//jpGjhyZ9v21a9dQoUIFREREoESJEia2zH727fPAkiWAp2cNdOlSNeeDY2LgeesKXNv+/WUONOnCc+ZMYOtW1AkPx11dupjdHFtKSkrC0qVL0bFjR3h7e5vdHJfj+dFHAIDarVrxPWqUixeBYcPglZiILvfeK/W5bklNBc6fl+/79WvE8i7ZYL+gL69RowAADdu3h9KqlcmtKZjgYAemTAGio0PRxSZ9m8e6dcCiRahepgyqmtjmffukgmW9esVt89qp2DfoKDUVXvHxAIDW3bqhePMy+OUXYM+eMmjduguYL6Ifr+LFgbg4tKlfH0qjRmY3x3Y+/VTBtm0+8PVVMHeuH+rW7WR2k0zVtCnw668Kjh4tilKl7keTJoXISr9VqUApUgSdH3hAoxZSXjguXMDk72WGSsuWXuja1V6f12a7xmRSU7h1IF3NRM8u41x9U2aXsa7y9fWFbxZBXG9vbw5+86laNdlGRXnA2zuXEv5qMcOSJeHNUa++btWK84yLgyff04XCfkEnt+qdepUsKQVxSX/Fi6fteickAP7+ad+fOiUlUL28gOrVvfknyQX7BZ3cGt95lSpl236hYUPZnjzpwNWr3ihZ0tz25MmtvsEzNtbUMYO60GilSnkYU1oU+wYdXLmSttild8mSqFfOG1WqSCmgFSu88dBD5jbPpd2a7e1144Zt+2QzJCUBY8YAH3wg79uPPkpFw4Z8/UJDgb59genTgcmTvdCyZSEe7FZZF0fRouxzjVa0KDZBVhht1sy+n9dm4fvVHG79LlVro6u10m+XWw110p66WEqeFhs9dUq25cvr1h66RV1UkFc8yarURQW52KhxfH2dNU5v6xvUj9UqVXiuTCZRFNsvNgpI3ElNMrDNgqMWWWz0xAnZVqxoajPIatR+wc8P8PODwwH06CE3zZ1rUpvchdo3ZLNIOWV27BjQqhUwfjygKA506XIUw4bZY70MIwwfLtuZM2WiZIHxPMI8wcHYDFlhtFkzk9tClEduH0gvW7Ys1q9fj7jblnuOi4vD+vXrUbly5RwXGiVtqYH06Og8LOh++rRsWWNPfxz4ktVdvixbDoCNpV5ku61vOHxYtrwOTaa5eRNITJR9GwfSAaBBA9kykJ4/aiCdw3jKIIsLbGogfcECrjGoK4v0DXbx229AvXrA5s3ydv3112Q8+eSeQtUCdzVNmshnZEICMHVqIR5IPY+w+XjBji4pxXAYNQHI35PIDtw6kO5wOPD4448jNjYW77zzTob73nnnHcTGxuKJJ54wqXXuqVgxQK2kExWVy8EMpBuHA1+yssRE55U3DoCNlUsgvUYNg9tDpFJPij08YPeix/Xry5aB9Pw5eVK2zEinDLIIpLdoAZQsKXetXWtGo9yERfoGq4uNBR59FOjXT16qli2Bf/8FHnqoEDXAXZTDATz9tOx//bWs0VMgLjCDza62RJUGAFT3OAIuL0h24ZI10qdMmYJ169YBAPbs2ZN226pVqwAA99xzDx5//HEAwCuvvIJ58+ZhwoQJ2LlzJxo0aIAdO3ZgyZIlaNy4MV588UUzfgW35XBIVvrOncDRo8Cdd+ZwMEu7GIelXcjK1MEv4LwSR8bIJpCulnZhIJ1Mk/6k2Obpewyk519cHHDpkuwzI50yyCJg5ukJdOsG/PCDlHdp186MhrkBC/QNVrdzp9T9PnxYrgOPHg28+aasOcPZElnr1w946SUpg7N4MdC5cwEehKVdTLPpYFEAQFNsAlDV1LYQ5ZVLZqSvW7cO06dPx/Tp07Fjxw4AwPr169NuU4PsABAYGIjVq1fjxRdfxIEDB/Dxxx/j4MGDeOmll7B8+XL4p1s8jYxRubJsjx7N5UBmpBuHpV3IytTM05AQORsm42RzUszSLmQ6F8ouUwPphw9LpqLlWSBYpmajBwfz+irdJpu+IX2ddIWJv/pgYk62FAX47DOpEX34sOSJrVgBjBsnQXTKXkAAMHSo7H/1VQEfxIXGDHazeW8AAKBZ6gap0UNkAy4ZSJ82bRoURcn2a9q0aRmODwkJwaeffooTJ04gMTERx48fx8SJE1FE/bAnQ+V5wVEG0o3DgS9ZGesamieLjPTkZODIEdlnRjqZxoWyy0qXBsqWlUDLrl1mtyYPLBBIZ310ylY2AbMOHSQgd/KkjWZ/2A0Tc7J0/jzQtSswYoRUK+zRQ0q5tGljdsvs46mnZPv333koD5sVdQoTzyUMpSjA5u1ypagpNjPWQLbhkoF0sjc1kJ5rRjpLuxiHA1+yMhcKmNlOFoH048clmO7vz+ucZKJz52TrIgU3bbXgaPoxQ4EL1hYO66NTtrIJpPv7A506yf7cuUY2yI1Y4CKb1SxfDtx9N/DPP4Cfn2RUz5njMh9dhqlZE2jfXgKzkycX4AHUDw0OXA0VGQlcvuyAH+JRF7vZN5BtMJBOlpOnQHp8vDMLlR94+uPAl6xM7QsYSDdeFn2DWtalWjWp70lkCnVam1ovzuZsVSdd7RcURYqVm0DNSGcgnTLJoYRD+vIupAOeT2QwfbpcvDl7FrjrLmDrVmD4cNsv62EaddHRKVMKUCHExcYMdrFpk2wbeO+FD5KYtEe2wVNcspz0gfRsaxSqZV0CAlj80gjpS7uwcCRZDUu7mCeLjHQ1kM6yLmQqFzsptlUg3c/PWdTXpICZmlzI0i6USQ6B9Pvvl6VW9uzJw8xYyj+LBdKPHgVmzzbn1Objj4EhQ4CUFGDgQGDLFqB2bePb4Uq6dZMyaBcuyN81zxTF5cYMdrF5s2ybBe2VHYv0DUS5YSCdLKdiRbkSf+OG1IzLUvqyLrxsrz914JuczEVAyHpY2sU8WQTSIyNly0A6mUqNgqlX521ODaTv3Ss1dC3N4TA9YMaMdMpWDoH0EiWA1q1lf948w1rkPiwWSB8wAOjVC/juO+OeU1GA114DXn5Zvn/pJclMDwgwrg2uyssLGDZM9vO16OjZs8DNmzKNkh8ahlIz0psWv3XyYJG+gSg3DKST5fj6OsueZ7vgKBcaNVZQkHOfH3BkNSztYp4sFiJWM9KrVzehPUQqF8suq1RJurikJGDfPrNbkwcWCaQzI50yyeXiO8u76CiLi+9muXTJmQ07ZgwQG6v/cyYnA088AUyYIN9PmABMnMgyeFp6/HEJqK9fD+zenbefSTwchWkYjCcDfsKZC976NpDS3Ljh/Bs1C42SHcYZyCbYbZMl5VonnYF0Y3l4OIPp/IAjq2FpF/NksRAxS7uQ6eLjgeho2XeRjHSHw2blXUwMpCsKFxulHOSQkQ4A3bvLdt06KRFBGrJQRvrq1c6SLmfPAp98ou/z3bwJ9O4NfP+9nFZ9/z3wyiv6Pqc7KlvWeTHs669zPjY2Fvj0U6Dqg3UxFNPwXWx//O9/ujeRbtmxQy4uhYYCFUrGy40WuMhGlBcMpJMl5RpIT1/ahYyRRcCMyBKYkW6e27LLbt50ZoIykE6miYqSbXCwS/ULDKTnzcWL0hcBzLegLOQSSK9UCahXD0hNBRYsMKpRbsJCgfSVK2Wrzp778EPg3Dl9nuvqVeC++2SWg6+v1O9+9FF9nouci47+9FPWb7ULF4C33pILrSNHAqcuBaI4YgAAM2c6uwjSV1p99GaAI8Q6fQNRXjCQTpbEjHQLyqKEA5ElqKmHYWHmtsMd3RZIP3JEMrxCQoCSJU1sF7m39PXRXWgdFQbS80b9SAgNlaAVUQa5BNIBlnfRjdovxMdLnSoTrVgh2/ffB5o0AeLigLFjtX+ec+eAtm0lA75IEWDRIuf7i/TRti1Qq5b8TX/6yXl7VBTw3HNyseyddyQPp3p1YHKLaTiNcqhd+jzi44EZM8xquXtJq4/eFJa6yEaUFwykkyWpJU0ZSLcQfsCRFSmKc3VLFuU23m39QvqyLi4UvyS7cbH66Co1kL5rl2TLWpqJYwbWR6dsXb8u6cEAULp0toepgc4lSyQYRxpRL74Dps5wPXfOudZERATw0Uey/913wMGD2j3PsWPAPfcA//4rb7fVqyXIS/pyOJxZ6V99JXW4Bw4EqlUDvvhCruM0agT88Qdw4ADwhPc0+CEBT953HADw7bfOsj+kn/QZ6YwzkN0wkE6WxNIuFsTSLmRFly45s8uqVjW1KW7ptox09ZoGy7qQqdJnpLuQmjUBf3+p6/rff2a3JhcWyEhnfXTKRP3HKVkyx4z0unWB8HApEbR0qSEtcw/e3oCfn+ybGDBbtUq2d98NlCgBtG4NdOsGpKQAr7+uzXPs2QO0bClvufBwqbmvXgwl/Q0aBAQEAPv3y995xgz5+3bsCCxfDmzZAvTqBXh6Iu3i+8B+qfDzk7+dGuQlfZw5I5/VHh5yUcNKCxET5QUD6WRJ6rnvqVNAYuJtd6akyKowADPSjcTSLmRF6klxuXIyYiZj3TbwVTPSOTmATOWiGemenhIQAGSRLkuzQEY6A+mUSR5nsDkcLO+iGwsk5qhlXdq1c942YYL0sXPnStC7MNavl+B8dDRQu7Z8z3GRsUJCgEcekX0PD6BPH2D7dpll0q5dulmTiYlpCXrF6lXCww/LzZMnG99md6JeqKhdGwgKAjPSyXYYSCdLKl1aYmKKAhw/ftud585JMN3TEyhTxpT2uSULDHyJMmFZF3OlD6SnpmYo7UJkGjUj3cUC6YCN6qRbIJDO0i6UST7GDN27y3b+fCA5Wcc2uRsLBMzUhUYjIpy31aoFPP647I8aVfDSHlu3Ap06yWTJli2BNWuAsmUL1VwqoI8/lnI9hw8Dv/0GNGiQxUEnTkitNH9/oEwZPPmk3Pzbb84qUKS9DPXRAUv0C0T5wUA6WZLDkUN5F7WsS1jYrflYZAh+wJEVqRnp1aqZ2w53pfYLABAXx9IuZD5FcWaku1hpF4CB9LxgaRfKVj4C6ffcI2/jS5ekxjJpxOTziVOn5G3g4SFZ4+mNHQsEBkqQb/bs/D/2wYNA585SV799e8l+LlZMk2ZTAQQGysWRHCs/quOF8HDA4UCLFsBdd4GLjuosQ310wPR+gSi/GEgny8p2wVEuNGoOlnYhK2Ig3Vz+/nI2CuDamdi0qlucIECmiYlxzpwKDze1KXpIH0i39GJozEgnK1LHDHn4kPLykmA6IFnFpBGTA2ZqNnrDhlL+I73QUODll2X/9dezKC+agxMnpP52TAzQuDHw55+sOGgLt114dziQlpXORUf1kZwsMzeAdBnprJFONsNAOllWthnpDKSbg6VdyIpY2sVcDkfa4DdybwIAqbiVPlGdyFDqSXHZss5F7VxI7doyGe/iRedwyJJMCpYlJUldYoAZ6ZSFfI4Z1Izl1at1ao87MjmQnlV99PReflnGMf/9l/c62RcvAvfeK9nutWoB//zjjAuSxWWxpsrAgTJ82L1bFiUlbe3bB9y4IV3BHXfcupEZ6WQzDKSTZamBdPXzLY1a2qV8eUPb4/aYkU5WxIx0890a/P7wmz8ACfQRmcaF66MDcnJ/112yr9YYtSSTTorPnJFyt97est4OUZpr14Dz52U/j2MGNZC+dq28r0gDJmaeKkrugfSgIGDcONkfNy73OtnXrwNdugCHDsksmCVLgJIltWsz6SyLMUPx4kDv3rLPRUe1p45dGjdOm9TKQDrZDgPpZFnMSLcYfsCR1Vy6JF9ALgUQSVdFimA7GuDr2RK1Gj3a5PaQe3Ph+ugqdYG8l16SMgKWZNKYQa2PXqFCuhN0IsCZjV66dJ6nTTVsKBXMYmKAAwd0bJs7MfF84tgxKcHi7S0LgWbnsceAmjUl0/zDD7M/LiEB6NlTylSUKCFBdJaUsplsxgxcdFQ/meqjAxlnvrOeDtkAh5hkWern2ZEjt/WnDKSbg6VdyGrUbPSyZWVFITJFalAwnsZXUBQH+vcH2rY1u0Xk1lw8Ix2QLMlq1SQgNHCgRTNlTQqWsT46ZasApeB8fIDmzWWfddI1YmIgXc1Gb9o052GjlxcwYYLsf/KJczJ0eikpwIABwPLl8lgLF0pZF7KZLEq7AHKh5c47pQTJL7+Y0C4Xpmakp9VHB5wzVRRFVuslsjgG0smy1DXCrl0DLl9OdwdLu5iDpV3IaljWxRJ+uN4bW9AURfwSMXGi2a0ht+cGGekhIcDs2ZIpu2gR8O67ZrcoC+mDZQZml6kZ6ayPTpkUcE0VtbwLA+kaMTGQri40qs7qyUm3brLY7M2bwJgxGe9TFODpp6Uf9vEB5s6VMhVkM9evy7QDIFMgnYuO6uPKFefsngyBdH9/WQAGYKyBbIGBdLKsgABZPR1IV95FUZiRbhZmpJPVcKHRAjt7FoiPL/zjxMQArx15HADw9v1bEBZW+MckKhQ3yEgHgLp1gW++kf2xY6WkgKWoY4bkZIlEGUTNSGcgnTLRIJDOYJoGTAqk56U+enoOB9KSA6ZNA/bscd43erTUznY4gBkzgA4dNG8uGUG98F68eJblnh55BPD1BXbtkvI9VHjq61i58m3rmDgcLCNLtsJAOllapgVHr16VOVYAA+lG44cbWQ0z0gtkwwYZwN5xhyzMVxhvvAHEJAajDnbj2QYbtGkgUUElJzsjqS6cka4aNEgy5hQF6N/f+atbQmCgnBgDho4bWNqFslXAQHqzZlJT+8yZLNZtovwzaYbroUOSRODre1tt5hw0bSqLTqamAq++Krd9+inw/vuy/803QK9e+rSXDJDLDDYuOqq9LOujq5i0RzbCQDpZWqYFR9WyLsWLyxQgMo468OUiIGQV6kkxA+l5dukS0LevJIgePw507QrExhbssbZsAb77Tva/xDPwiuNqTGSyU6ckmO7jI2snuIFJk4AGDWR2yMMPA4mJZrfoFg8PUwJmLO1C2SpgIN3fH2jSRPZZ3kUDJgXL1Gz0li0BP7+8/9z770vN9IULgWeeAUaOlNvfe89Z+oNsKg8z2NS/8a+/MpdMC1nWR1exjCzZCAPpZGmZAuks62IedeCbmuqcFUBkJjUjnaVd8kRRgEcflUBTlSpAqVLAzp2SyZqSkr/HSkmRE0pFAQbV2YFWWMcMEjKfml0WHi6BXDfg5wfMmgUUKyaZXi+9ZHaL0jFhJhsz0ilLly/L1SagQBffWSddQybNcFXro+elrEt61aoBw4fL/ldfyXbECOD117VrG5kkm4VG07vnHpnByUVHC09R8piRzkA62YB7nGWQbamfawykW0BAgDMwwQ84Mlv6k+KqVc1ti018/jkwb54k6/7xB/DXXxKEmz9fTgrzY8oUYNs2GfN++MA6uZGBdDKbm9RHv13lysBPP8n+F19I5pwlGHxSHBvrXJyeGemUgZqNHhYGBAXl+8fVQPrq1Rq2yV2ZECxLTc3fQqO3e/NNZ7MfeURqp6uVq8jG8rA4ORcd1c7Ro7K2q48PUK9eFgcwkE42wkA6WVq2pV3KlzelPW7N4eCUK7IONRu9gCfF7mb7dmDUKNmfOFFKQTRr5gy+ff65lIjIi4sXnZlY774LlCnrKd8wkE5my8NJsau6/37gf/+T/ccfB/bvN7c9AAw/KVbLugQHZ7luHLmzQi5O3qKF5JIcO+Z8n1EBmRAs27NHci8CA4HGjfP/86VKSSLCxx8D33/vNhOeXF8eL76ri47++68kkVDBqNno9evL65kJa6STjfBjgCxNPRc+cULKnjIj3WT8gCOr4EKjeXbtGtCnj9RO7tEDePZZ5329egETJsj+iBFyopib116TrM969W5Nd2YGCVmFm2akq8aNA9q3lynoDz1kgY9qkwLpzEanTAoZSA8OluAPAKxdq1Gb3FX6fsGg9F41G71VK1k4tiDatpX66AX9ebIYRQGiomQ/lzFDiRLORWW56GjB5VgfHWDCHtkKA+lkaWXLyvSf5ORbyegMpJuLH3BkFVxoNE8UBRg2DDhyRIJLP/yQeTryqFEybVVRpF56Ttk2mzZJNhYAfPmlLMCVYSFiIjO5cUY6AHh6Sg3XcuWAgweBJ54weRq6wYF01kenbBUykA6wTrpm1DFDaioQH2/IU6oLjea3Pjq5sPPn5aqzwwFUqpTr4Vx0tPByrI8OMDGHbIWBdLI0D4/b6qSztIu5+AFHVsGFRvPk+++B336TANtvv8mChLdzOCQo3qmTnFM88ABw/Hjm41JSgKeflv2hQ2WqOwAG0sk63DwjHQBKl5Y1ELy8gJkzpWa6aUwKpDMjnTJhIN06AgOdV/QN6BuSk5217QtSH51clHrhvXx5ydrLRatWQK1aQFychdYhsZGbN4GdO2U/24x0xhnIRhhIJ8vLEEhnRrq5WNqFrIKlXXK1dy/w3HOy/957QPPm2R/r5QX8/jtQpw5w9qzUW756NeMx334rg+CiRYEPPkh3B2eqkBXExUmGGeC2Gemq5s1lLQRAShFs3GhSQ1jahaxAUTQJpLdqJdsDB5xdDRWAw2Fo37BzpzxNSIizPA9Rfi+8p190lOVd8u/ff4GkJFlvINuXnIk5ZCMMpJPlpS04ejhZVrkDGEg3CwNmZBUanBS7srg4qYt+86ZkmqsLjeYkOBj4+29Zv3XfPqkHmZQk950/71zI8P33Jes1ww8CHPiSudRap0WLypebe/554OGHJRuzd2/n8MlQLO1CVhATA1y5IvtVqxb4YUqUAGrXlv116wrfLLdmYN+g1kdv21Zm5xEBcGak52MG26BBkry+YwewfbtO7XJR6euj315iMg0z0slGGEgny1MD6cd23UqPLFECKF7cvAa5MwbMyAquXHFGhQpxUuzKnn8e2L9fguI//ihlsvKiQgVgwQKZeb1smSwmqijAq6/Ky96ggTMjJ036DBJTCzKTW1Ozy9w8G13lcABTpgA1a8pkvhEjTGgEM9LJCtQZbOXLAwEBhXoolnfRiIF9g1ofnWVdKIMCrKmSftHRb7/VoU0uLNf66AAD6WQrDKST5WXISAeARo1yuJRJuuIHHFnBkSOyLVPGGcSlNDNmOBcVnTHjtuzxPGjQQOqpe3hIjfVBg4Bp0+S+r77KIqNL/RukpBi2cBhRJgXILnN1RYrIhTSHA/j5Z2DpUoMbYOCYQVGcgXRmpFMGGs5gUwPpas1tKiCDEnMSE4G1a2WfC41SBgVcU0VNJvnlF+aV5Uf6jPRsMc5ANsJAOlleWiD97K0skkaNzGuMu2NpF7IClnXJVmQk8NRTsv/mmwXPwOraFZg0SfZ//lm2jz+ezQA4KMi5z7MKMgsXGs1SkybAs8/K/lNPyYLChlFPim9fcEEHFy9KKSuHg9X/6DbqmEGDNVXUOum7djmrxVABGHQ+sXWr9HklSwJ33aXrU5HdFPDie+vWMtMrLk7WFqLcRUXJl8MBNG6cw4GskU42wkA6WZ76+XbxZhFcQxEG0s3E0i5kBVxoNEs3b0pN5NhYoE0b4K23Cvd4zz4LvPCC7BcvDowfn82BHh7OYDr7BjJLAaZpu4t335Xg8tGjwDvvGPjEBmaXqfXRy5QBfH11fzqyEw0vvpctK0MPRQHWry/0w7kvg/qG9GVd8lrijtxAUpJzClM+xwwOB/DII7I/a5bG7XJRb74p2zZtZNHfbDEjnWyEHylkecHBQIkSUnf3GCozkG4mZqSTFTAjPRNFAV56Cfj3X8m8mjFDm0W1Pv4Y+O47YPFiedxsMYuEzMaM9GwFBwNffin7EycCu3cb+MSAIWMG1kenbGk8ZmCddA0Y1DeoC42yPjplcPKklCP09QVCQ/P942qd9OXLOTMlN1u2OGe2fvRRLgczkE42wkA62UKVMnEAgGMh9Tln10z8gCMrYEZ6BtevA/37S/1yAJg+Xbtu0tNTSrrkev2SF9nITIrCjPRcdO8O9OwJJCdLjdeUFAOe1ISMdNZHpwwUhYF0KzKgb7h5E9iwQfZZH50yUMcL4eEFmqpQs6aUCkpKAubP17ZprkRRgJEjZf+RR/JwLqH2C/HxMlghsjAG0skWqvhFAwCOhrXkQqNmYmkXsgIG0tPs2SP1Bn/7DfDyAj7/HOjSxYSGsG8gM124IAVLHQ6gUiWzW2NZn38u17w2bwa++caAJzQhkM6MdMrgwgV5/zkcQNWqmjxkmzay3bZNuh0qAAP6ho0bgYQEKcdTo4ZuT0N2pMGF94ceku3s2Rq0x0X98YeUwPL3B95/Pw8/oCblADyfIMtjIJ1soUrSIQDA0SJ1TW6Jm2PWKZnt2jXg/HnZd/NA+rRpsvjnoUNA+fLA6tXORQUNx9IuZCb1pLhcORbIzkG5cs61Dl5/HTh9WucnVIuhJiTIl45Y2oWypGajV6gA+Plp8pCVKsnDJScDmzZp8pDux4AxQ/r66MzBogw0KAWnBtIXL5a1iSijmzeBV1+V/VdekfOUXHl7O/tpxhrI4hhIJ1uoHLMNAHA0Ndzchrg7Zp2S2dRs9NKlne9HN3PjBvDYY8DQoTL7sVMnYOdOoEULExvFi2xkJtZHz7OnnpILcNevA889p/OTGZhdxtIulCUd1lRxOFjepdAMyEhXA+ks60KZqBffCzFmqFNH8nlu3gT++UejdrmQzz4DoqJkRsioUfn4QZaRJZtgIJ2sLy4OVaLXAwCOXilucmPcHD/cyGxuvtDo4cNAs2bADz9IWcd33pEBfI4LgRqBF9nITKyPnmeensDkyVIK6s8/gblzdX6ywEDZ13ncwIx0ypJOYwYG0gtJ5/OJ2FhZ5BDgQqOUBQ0C6Q6HMyt91iwN2uRCzp1zlnIZP945DMgTnk+QTTCQTtb377+ookgWatQpb6Smmtwed6Zml8XGgn8IMoUb10f/4w9ZqGfPHknIX7oUGD26QOskaY+lXchMzEjPl7p1gZdflv1nn9U5xm3ABfikJODMGdlnRjploHMgfdMm3asWuSad+4V166T0Tng4PxYoCxpdfFcD6f/8IzNESbz1lpwONGoEDByYzx/mDFeyCSucfhPlbNs2VMBJeDpSkJAAREeb3SA3lr6UBgvCkRncMJCekCAlGB5+WAamrVsD//5rsenKHPiSmZiRnm9vvSVrL54+LRfkdGNAIP3MGUBRAB8fuchIlEanQHrNmkCpUlLWYetWTR/aPejcL6xcKVtmo1MmsbHOtZYKeZWlUSOZBRUXJ7XSSZJ9pkyR/U8+KUCyD2e/k00wkE7Wt20bvJCCSkWvAnAmnpEJfH1lPjjADzgyh5uVdomKAlq1Ar74Qr5/7TVg+XIgLMzUZmXGjHQyEzPS883fH/jmG9n/4gtg82adnsiAk2K1Pnr58haZoUPWoCi6jRlYJ72QdC7fwProlK2oKNkWLSpfheBwAA8+KPuzZxfqoVyCogAjR8qk9V695Pwl3xhIJ5vgcJOsb5ssNFq5kpQSYSDdRA4HP+DIXG6UkZ6QICfqW7cCxYoBCxZIrUH1WpalsKYhmSUpyVkgmxnp+dKhA/DII3Ly++ST8lJqzsBAOuujUwZnz0qqqIeHLn1DmzayZSC9AHScxXblCrBjh+wzI50y0XgGm1reZf58IDFRk4e0rb//BpYtk9lhEyYU8EF4PkE2wUA6Wdv168ChQwCAKrVlpQoG0k3GDzgyy7VrsoIN4BaB9FWrJD5YujSwcydw//1mtygHzEgns5w8CaSkyIyp0FCzW2M7H38MlCgB7N4t07A1Z0AgXb2OwvrolIGajV6pkkR2NKZmpK9fL/W4KR/UfuHGDc1fvDVrJCO2Rg2gXDlNH5pcgcYz2Fq0kKHH1asyY9RdJSU511558cVCXKdgqUiyCQbSydp27pRUqYoVUeUufwAMpJuOH3BkliNHZFuqFBASYm5bDDBvnmx79JA4gKWxXyCzqNlllSuzrkcBlCoFTJwo++PG6TDGYkY6mUXnUnC1a0tliNhYWbeE8kEdMwCaX4BnWRfKUfoxgwY8PICePWXfncu7fPON5D6WKgW88UYhHogz38kmeMZB1narrAsaNky7sql+/pFJ+AFHZnGjsi6KAvz1l+x3725uW/KEM1XILKyPXmiDB0sJhPh4YPhw6X80Y2BGOgPplIHOgXRPT+Cee2Sf5V3yyccH8POTfQ37hoQEYOZM2e/YUbOHJVeiw+LkanmXuXPdc3bK5cvA2LGy//bbhcx1YpyBbIKBdLI2NZDeqFHa5x0z0k3GgBmZxY0WGt2xAzh9GggMtElWFUu7kFl0OCl2Nw4H8O23Uh1nyRJg6lQNH9zAjHSWdqEM1IvvOo4ZuOBoIejQN/z2m5TGL1cO6NpVs4clV6LDxfc2baREWkyMe/YFb78NXLoE3HUX8PjjhXwwxhnIJhhIJ2tLF0ivWlV2o6MlwEQmYQkHMosbZaSr2eidOjmTtiyN/QKZhRnpmqheXU6GAeCFFzRMWmBGOpnFgIvvaiB97Vqpy035oPEFeEVxrvPw3HO6lMUnu1MUzUu7AICXl5RhBNyvvMvhw8AXX8j+J5/Ia1EoPJ8gm2AgnazryhXnILhhQxQr5pxC+eOPprWKeKWYzGJAdplVqIH0bt3MbUeesV8gszAjXTMvvQS0aiU1nwcNkjVcC03nQHpsrEwrB5iRTukoiiFjhgYNgIAAycbct0+3p3FNGvcNK1bIoskBAcCTT2rykORqLl4E4uJkGpbGiw+p5V3+/NO9LqqNGiXlbLp0Ae69V4MHZGkXsgkG0sm6duyQbeXKMl8KwNChctPUqRrX8KS845ViMot6Yc3FM9KPH5eFyzw8gPvvN7s1eaT2C4mJ8kVkFGaka8bTUxIVihQB1q8HJkzQ4EF1PilWs9FDQpxPRYQzZ4AbN+RNHR6u29N4ewMtWsi+O5Z0KBSN+wY1G/3RR4FixTR5SHI16nihbFnNp3u2by+fQ9HRwMaNmj60Za1YIYk/np7ORcsLjYF0sgkG0sm60pV1UfXuLZkGkZHAhg0mtcvd8QOOzBAbK4UvAZcPpM+fL9uWLYGSJc1tS56pgXSAWelknOvXJcMMYCBdI+HhwOefy/6YMc6chgLTeczA+uiUJfXCe3i4RLt11KaNbBlIzycN+4aDB4F//pFE4xdeKPTDkavSoayLyscHeOAB2XeH8i7//ScllABZpPyOOzR64FKlZBsVBdy8qdGDEmmPgXSyriwC6UWKSDAd0HgxLMo7lnAgM6hTtEuWBIoWNbUpeps3T7a2KesCSFFENbuHF9nIKOpJcfHikgpGmhg0SKapJycDAwcC8fGFeDCDAumsj04ZGLg4efoFRzlbNh807Bs++0y23bq5fK4FFYaOgXTAWd5l9mzX7Qvi4oD//U8WFt2/X4oGjB2r4RPUqSOrBV+/LqufE1kUA+lkXVkE0gFneZeZM6UzJ4OxtAuZwU0WGr16FVi1Sva7dze1KfnHi2xkNJ1Pit2VwwF88w0QGgocOAC8+mohHsyg0i7MSKcMDAykN2ki2ahnzzqHKpQHalKEejWsgC5eBKZPl/2RIwvXJHJxOq+p0qkTEBgob2k1jOEqFEViL7VqAe+/L1Uc771XKgTcqsCrDQ8P4OGHZX/mTA0fmEhbDKSTNcXEOD/sGjTIcFfr1vL5FxvrHlOnLIelXcgMbrLQ6KJFkgVaq5YNf1X1IhsD6WQUtd4pFxrVXMmSzpl/n39eiMQwZqSTGQwMpPv5AU2byj7Lu+RD+/ay/eOPQq1s/M03UgGiYUNZLJkoWzqvqeLvL4tuAq4Vo9i7F2jXDujbFzh1Sipm/fmnnLPUqKHDE6qB9L/+KuSUOCL9MJBO1qQW5axePVMZB4cDGDJE9lnexQTMOiUzuMlCo2pZF9tlowOcrULGY0a6ru67D3jmGdkfOhS4dKkAD6KOGeLiChUsy46akc5AOmVgYCAdyFjehfKoSxdZFfTMGedUvHxKSAC++EL2R46Uc0SibBkwZnCl8i5XrgAvvgjUqyf/on5+wLhxUtKlRw8d/9+aNpUP9dhYidYTWRAD6WRN6nyohg2zvHvwYOm8V61yXlwmgzBYRmZwg9IuSUmyWBZgs/roKl5kI6MxI113H34I1Kwpsa6nnipAYEDnhYi52ChlkpoKHDki+wYH0leu1OV6kWvy9XVmnv70U4Ee4tdfgXPnpKSyuoYWUZaSk50fGDqOGbp0kbf2f/8Be/bo9jS6Sk0FfvhBss0nTZI+7cEHpdTbW29J5r2uHA7nP/Tvv+v8ZEQFw0A6WVM29dFVFSs6ZwSqdfHIIAyWkRkMzi4zw5o1UiO9VCnnNHFbYWkXMhoz0nUXEAD8/LOsJ/zHH8CMGfl8AF9f+QKA8+c1bZuiMCOdsnDqlNT68PICKlUy5ClbtpQJtCdPAt99Z8hTuoaBA2U7ezZw40a+flRRgE8/lf3nnwe8vTVuG7mWU6ckmO7jA5Qtq9vTFCkitdIBe5Z32b4daN4ceOwx4MIFKTW5dKn8LuHhBjZEvcg2f36++wYiIzCQTtaUSyAdcC46On26XDklgzAjnYwWFwdER8u+C2ek//WXbB94APD0NLctBcK+gYykKLovHEaiUSNgzBjZf+YZ4PjxfD6AemUw31H4nF24IKUdHA7JSCUC4LzwXqWKBNMNEBgIvP227P/vf7LUE+VBy5YSnYuNdda2y6MVK4Ddu+W1f+IJfZpHLkQdL1SqJAta6ih9eRc7+e03CaJv2SJD+okTgV27gA4dTGhM48bSN8TFOafrElkIA+lkPefPy9QrhwOoXz/bw3r2BEJC5IRu5UoD2+fu1Iz0+Hi5sk+kN3WKdokSUk/TBSmKM5Buy7IuADPSyVjnzsnnkMPBdGQDvPaanGBfuybl9fJVvkIttD55MpCYqFmb1Fn6oaGSZEgEwLQZbMOHA3XqyFoCo0cb+tT25XA4s9J//jlfP/rJJ7IdOtRlh4akJQMvvD/wgFzD27cPOHRI96fTxKefAv36SZnJ7t2l3S+9ZOJnq8PhzEpneReyIAbSyXq2b5dtzZrOoG0W/P1l9WiAi44aSud6p0SZuMFCo3v2AFFRspBPx45mt6aAWPaJjKTWR69QgVFUA3h5SRnjwEBg9WpnSYU86dkTCAsDzp4F5szRrE1qWRfWR6cMTAqke3kBn38u+99+C+zcaejT25caSF+8WC6Q5sGBA5Kk6nAAL7ygY9vIdahjBgNKwRUr5ixBa/Ws9NRU4OWXZbFeAHjuOWlzWJi57QLgDKQvWCCZ6UQWwkA6WU8eyrqo1PIus2dLbWEygI+Ps94pSziQEdxgoVE1G71jR6lJbEvMSCcjsT664apWBT77TPb/9z8pq5An3t7AsGGy/8UXmrVHzUjnhATKwMQ1Vdq0kSQfRZGAVL4X53VHNWtKGYeUFGDmzDz9iNoPde/u0kND0pLBY4ZevWRr5UB6YiLwyCPAxx/L9x98IIuLWqa8ZIMGMoMgPh74+2+zW0OUAQPpZD35CKQ3aQLccYesKZTHsRdpQc08ZSCdjOAGC42qpUG7dze3HYXCGulkJNZHN8Vjj0n5qcREYMAAqVOeJ08+KSm769cD//6rSVuYkU5ZMnnM8NFHckF8/XrNlwVwXY88Ituffsr10AsXgB9/lH01i5YoVwYH0rt3l1LsO3Y4n9pKrl0DunQBfvlFPpp//BF49VWZ5WEZLO9CFsZAOllPPgLpDoczK53lXQzEEg5kJBfPSD99Wro9hwPo2tXs1hQC+wUykoHTtMnJ4QC++w4oXRrYuxeoVw9YsyYPPxgW5lyB7csvNWkLM9Ipk5QUZ99gUiC9fHlnjfRRo3htOU/69pU02G3bgIMHczz0m28kgapRI+CeewxqH9mf2i8YdPG9VCmZoQJoWtFME9HR0rbly6Vc299/O69lWU6fPrL9+29ZlJjIIhhIJ2uJjgbOnJFLuPXq5elHHnlExl6bNknNPDIAM0/JSGog3UUz0ufPl23TpkCZMua2pVDUfuHiRXPbQe6BGemmKV1aTsBr1pQhW0QE8O67eViA9NlnZTtjhqzIWEhqRjoD6ZTm5EmZLuHjY+pUhZEj5dr/2bPAO++Y1gz7KFUKuO8+2c9h0dGEBOd1uJEjLZY9S9Z144az/r6BF9/Va8dWKu9y6BDQooVMDCtdWtY8ufdes1uVg7vvlvO/mzedJ0xEFsBAOlmLutDonXfKJdI8CA0FOneW/WnT9GkW3YalXcgoN25Iyjbgshnpan10W5d1AeTip8MhVzXXrjW7NeTqmJFuqtq1JXl00CBZrOzNNyUOluNagS1byklxfLwm0wjVjHSWdqE0almXqlVNLfTr6yu1hgGp551LkjUBzpTYGTOkU8nCr79KH1O+vLMGNVGuoqJkGxwsK4EapGdP2W7c6DyVMdOmTfIxHBUlp1QbNgANG5rdqlywvAtZFAPpZC1qWZd89upqeZcffwSSkzVuE2WmBtKjo81tB7m+I0dkW6wYULy4uW3RQWysZHYCUnfY1mrWBB5/XPZfeCEP6alEBZSYCJw6JfvMSDdNUBAwfbokMQQEAMuWSZxc7dMycTiAZ56R/a++yjZYlhcJCc4hCDPSKY2F1lTp0kXKtSUnA88/z4VHc9Wtm8xsi4qSAvO3URTgk09k//nnZQ1jojxJP4PNwGkMZctK4BoA3n/fsKfN0oIFQLt2QEyMrO27fr1cb7QFNZC+cCGT+MgyGEgna8lHffT0unYFSpaUKZSLF+vQLsqoRQvZjh8PXL5sblvItbl4WZfFiyUmWK2aLJxse++9B4SEADt3Aj/8YHZryFWdOCFBWH9/m9dDcg2DBwNbt0qW+rlzQMeOwJgx2VxL698fKFpUZhQsWlTg55w4UQJrpUtLVQgiAM5AukVmsH36qVSZWboUmDvX7NZYnL+/M808i/Iuy5cDe/bIhOUnnjC4bWRvJs5gGzdOtl9/LZnpZpg6VWa9xsfLLP4VK+Sz0zbq1AFq1ZIr6CzvQhbBQDpZh6IUOJDu4wMMHCj7XHTUACNGyAfauXPASy+Z3RpyZRY7KdaaWtalWzcXqfVZqhQwdqzs/+9/wJUrZraGXJWaXVa5sov849jfnXcCmzfLpBRFAd5+G2jfPovp7IGBwKOPyv4XXxToufbtk8cHgI8/lmV1iABYKiMdkKHLyy/L/siREsiiHKgnc7//LjWR01Gz0R99VK7FEeVZ+jGDwdq3lxJoigI8+SSQlGTs82/aJBeeUlOBIUOAefNkNpmtsLwLWRCHnmQdp09LYNbTU+YG55Na3uWvv7jWne78/IApU+SDbepUSbUh0oMLZ6QnJ8tUS8AF6qOn98wzcqHtwgVntItIS6yPbkkBAcB330mJ46AgWcSsXr0sEs+HD5ftokXOPj6PUlIkkJaYCNx/PzBggCZNJ1dhsUA6ALzxhtT0jooCPvxQv+c5ckTKR0ybBly9qt/z6KptW3mxrlwB/v477eYDB6Sqg8MhleOI8sXkxck//hgoUQLYu9d5QcgI16/LZ2RKCtCnj0wUtW1JJDWQvmgRk3TIEhhIJ+tQs9Fr15bpfflUty7QoIFc6f3lF43bRpm1bAk8+6zsP/kkEBdnbnvINblwRvqGDcClS1L6Xa2W5BK8vWV1NQD4/HOuskbaM/mkmHLWv7+sHV+vniQ2dO4swcS0GtHVqsmNiiLz3fPh00+BLVtkqZZvv+WEBEonOdl5kc1CgfTAQAmkAcAHHzjXPdSCokit44cekl/5f/+TxKLSpWWhw99/lzXbbcPDQzoQAPj5ZyiKJBz06CE39ehho7rOZB0mX3wvWdLZB4wb52yO3p5/Xp6rYkXgm29s/nl5110y9S0x0Tmdl8hEDKSTdRSwrEt6alY6y7sY5P335dM5KgoYPdrs1pArUrMVXTCQro4D778f8PIyty2a69QJeOABCWyMGMFV1khbzEi3vBo1pB7s00/L9+PHA2+9le4A9UL8Dz/kOdJ3+DDw5puy/8knQLly2rWXXMDx4/KZ4+cnWc0W0rs3EBEh1Uq0qIiYnAz88QfQvDlwzz3AnDnyMduhg6y3kpgoNdn79JGg+oABUlo4MbHwz627Rx4BAOxecAL3RiTigQfkf79UKU5yowJQFFNLu6gGDZI+ID5eJmXpPSz+/XeZneLhIUsOuEQ5JJZ3IQthIJ2sQ4NAekr3/AABAABJREFUev/+Ui/933/li3QWFARMniz7kyZJITYircTHA6dOyb6Fssu0oChSpxBwsbIu6X38sWSnL1qUYYo2UaExI90W/PyAL7+UzHEAePdd5z7uu0/+fleu5GkaYWoq8NhjEojs2NFZZp0ojTqDrWpVyxXOdziA//s/qV45Z07BKyJevy7D7erVJaa0eTPg6ytrE+zbJ4+7bx+waxfw+utAeLhMGP3lF1mLpUwZOXb58mwWA7aAsyVr44nis1E/eQuWrfaBjw/wyivy561d2+zWke1cuiT/OID8Q5jE4ZCscF9fYMkS4Ndf9XuuEyeAYcNk/403gFat9HsuQ6mB9CVLgMuXzW0LuT1rjTLIfRViodH0ihd3BqWYlW6QTp2cq6g89pisqE2khSNHZFu0qPxzu5CDByXZ3scHuPdes1ujk+rVJRsdkK0tUuHIFpiRbitPPgmMGSP7Tz99a20IDw9nuvoXX+Sanvfll8C6dXL9/rvvbD5FnfRhwfro6dWu7ZyI8fzz+ftIPHVKgskVKgAvvigTQUuWlFkex4/L/8Sdd8qxDoeUu3z/fekqN22SuuJhYXLd6vvvJXO9XDm5fcsWa0wai4+XmSvVqwNTLj2IVHiid4nlOHgQmDABCAkxu4VkS+p4ISysQKVjtVSjhpRfAmRYfOmS9s+RkiKn5VeuAE2b3jYTzO7uuAOoU0fq+KrZSEQmYSCdrOH4cSAmRrIX69Qp1EOp5V1mzGDcxjCffCJzR/fvl1EwkRbSLzTqYlETdfzXvj1QpIi5bdHV6NFAaKj8LSdNMrs15AquXnWefTKQbhtjxkgWeWqqlJvYsgUyYPP3l/TZ9euz/dmjR4HXXpP9Dz8EKlUyps1kMxYPpAPA2LFSouTgQWDIEClV9PrrwMsvS4D8mWckk/TRRyUY1q8f0KWLdHUffSTdX40aktl64oTUWy5TJvvnczgkmPbZZ8DJk8DKlXJhq3hx4Nw5yZJv2hSoWVPapr6ERlIUyc6tVUuyZ2Njgcb1ErHO0Qq/x3RAZcWggtLkmixQ1iW9V1+VePD587KvtQ8/lIW+g4IkFmLbxUWzo2alz5xpbjvI7TGQTtawfbts69aVOU+FcO+9QNmyEpefP1+DtlHuSpSQjDJAUmD27DG3PeQaXHihUbU+erdu5rZDd0WKOC+uvfMOcPasue0h+1NPikuWdPGrUK5FndZ+331SEr1rV+C/S8WdCwt++WWWP6coUorixg2gbVvndHWiTGwQSC9aVBYcBSR4/O678v3HH8u15q++koqJU6cCP/0E/PYbsHCh1ERv21bGDgcOyP9BfpNrPT3lMb79Vj6KFyyQf7+AAHnpxo2TIH3TphJgP3dO418+Cxs3ymLr/fvLhYHy5aWe86btPmjZ4dYv+PPP+jeEXJfFAuk+Ps6qqFOmAGvXavfYW7c6M9A//9xFF+bt3Vu2y5ZJsIfIJK62vBnZlQZlXVSenpLF8cEHkuHxww+SAZWSkv1XairQsCEwcqRcJaYC6NVL6urMmyclXjZulD8GUUG56EKj5845lxN44AFz22KIQYMkOrB1q6Sb/fCD2S0iO7PYSTHlnbe3LJDYpg2wYwfQuTOw4dsXUOr774FZs2R2W1hYhp+ZPFmyaP39JehgsdLXZCU2CKQDkol+8aLMtPDykv+L3LbNmwMNGmjXBm9vWej8/vslA3zuXMleXbpUZots2SLnRB06yEKlPXtKhmt+KApw4YJMOs7u68oVOTYwUGadjBwpgX0Asujo0qUSSH/zTZebmUgGUUu7WGhNlXvuAZ54QkoyPfmkrOtWyDxCxMbK/2pyssSaBw/WpKnWU7MmcPfdMpNt7lyJORCZgIF0sgY1kN6woSYPN3SoTG2KipKvvNi5U07SuneXqVbNm2vSFPfhcEiwbNUqCZhNmiQjYqKCSl/axYUsWCAnmI0aSY1Sl+fhIeltzZtLmt3w4UDjxma3iuzKgifFlHdBQbL2cPPm0sV3fb0OVjZrh4BNKyRqrhZTh2Sojhol+++/76LZdaSNpCTngN/iYwYPD6l3bhVBQcDAgfJ17pxUTJgxQ4LpixfLl6+vTD7NS9BfUYDTp+X/Nz4+5+f28JCA37vvymziDHr2dKbLb9kiqfJE+WXRi+8TJsgMk4MHJWbx5puFe7wXX5R/lfLlZdaJS1936tNHAum//85AOpmGgfR0tm7dijFjxmDDhg1ISkpCnTp1MHLkSDys1mIifWi00Gh6NWpIPPfgQUmKzu0rMRGYPl0ubM6bJ1/33CMB9S5dmAGVZ2XLAhMnymX20aOBHj0Y7KCCc8HSLgkJzrJ+Ll/WJb1mzSS77KefZJW1DRtcfJRPurHoSTHlXWgosGiRlHTYsgXo22A65iAcXt9+K7NWvL2hKFK+4vp1Cbo/95zZrSZLO3ZMppgGBGQRkaW8KlNGPqKff16GYL/8IkH1yEjgzJmCPWZYmKxrcPtXxYpAeHgOFbqCgiSYPmOGZKUzkE4FYdExQ7FisnZBv37Ae+9JbLhGjYI91uzZsoiwwyHD7GLFNG2q9fTuLWOF5ctlek/Jkma3iNwQA+m3rFy5Ep06dYKfnx/69u2LIkWKYPbs2ejTpw9OnjyJl156yewmuq6jR2Vun68vcNddmj1sq1bylVc9ekjg/aOP5ENo3Tr5uusuyYjq10/qmlEuHntMRt4rV0pAfdkyBswo/+LjZWUswPLZZXmxb58Mcn/80VnSr3t3c9tkuA8+AObMkbo2M2ZI+htRfjEj3SXUrCnr2LRvD8zfUR7P+n+Pr6OHwPHnn8DDD2P6dAm2+/pKNShWiqMcpb/wzjGnJqpXlwkib70ls0diYyXxPzk56626n5rqDJ5XqFDIkhUDB8p44bffpPSTy62cSLpKSZEaQoAlxwx9+gDTpsmsj6eekrhwfruvU6fkdBuQBMC2bbVupQVVqya1rnbsAP780/kCEBmIebYAkpOT8cQTT8DDwwNr1qzB5MmT8fHHH2PXrl2oUaMG3njjDRxXO2HSnpqNfvfdpkeqa9WSYFdUlATPixSRANiQITKl+NNPJTuKcuBwSNE3f39gxQrWQ6aCUYNlISEyn9iGYmPl7d+iBVC7tvQfMTFSzuXLL2VtZbdStizwv//J/quvygtElF8WzS6j/GvRQq67OxzAt/GDMR6vA198gTNngBEj5Jhx42RsRpQjm9RHtyOHQ17W+vWBJk3k/7ZNG7kIdt99snBwz57Aww/LoqEDB8p91aoVvu4zOnSQNPmLFyXaSJQfp0/LFR5vb0vWUnQ4gK+/llPmlStldnx+pKbKMkSXL8uk/nHj9GmnJakVI9RpvkQGYyAdwIoVK3DkyBH0798f9erVS7s9JCQEb7zxBhITEzE9vz0b5Z3GZV20ULas1Cs7cQIYP17GcKdOScnvihWBvn2lcsm0aZK1fvasVKihW6pWBd55R/Zfeqng80HJfaVfaNRG2WWKAmzeLMkRYWHOdXe9vORE8++/JTnm6afNbqlJRoyQrKAzZ6RzJcqP1FRnIN2C2WWUfz17yhIKAPA/vI8f14Zj+ICruHJFhoWcEEp54qJrqrg9Ly+ZEgzIdGGi/FDHCxUrWnZaU+XKwNixsv/yy3LNKK8+/lgC8AEBMnHDrWbO9+4t25UrgfPnzW0LuSWWdgGwatUqAMC9996b6b5OnToBAFavXp3vx3Vs3y7ZlJSzNWtka6FAuqpoUVlF/sUXZfz20UeS9JLVxc/AQIkfV6vm/KpaVW53S81eAO7YCxzYD/T5RNL63VhySgqi91zHlnP74WXRwZylLD0KoAlQvCOw2ezG5E4NoE+ZAuzd67y9enXg8cclYyQ01Lz2WYafn0zP7tFDzgBat5aO1k05kpNR7PBhOEqWlIAB5ezSJVlowMNDagaQS3j2Wank9eGHwBBMg7LKA95eqZg6Yi+8tueyWqGLYt+QTzt3ypaBdNfzyCNSTHrePGDtWjeLFmbEfiGfVq6UrcVnsI0YIYHw3bvl81CdkZWT6GjnJM9JkwpeX922qlQBGjcGtm4FvvgCuP9+s1ukjwoVuO6HRTkUhXm0vXv3xqxZs7Bt2zY0bNgw0/1FihRBsWLFcOLEiSx/PiEhAQkJCWnfX7t2DRUqVMBVAMF6NdoFJW3fDtSpY3YzcpSSAqxY4cCePQ4cPQocOeLAkSMOnDgBpKbaJ2uWiPTj56fgoYcUPPpoKu65R7FTQr0xFAWeXbrAY/lys1tCNqVUqoRktZQDuYTUVGBIlxj8tkKuOL6NN/Em3jW5VWQ3yStWQLnnHrObQVpSFHjdfTccBw+a3RKyqdTHHkPK11+b3Ywcbd3qwD33eEJR8nfS0KNHKmbOTHHLcw2PTz6B52uvmd0MXaWMH4/UXKbmXbt2DSVLlsTVq1cRHMzoo1F4KRPA1atXAUgpl6wEBwenHZOV8ePHY1wWRaniSpWCpwer5+TF5Ro1sP34cefighZXq1bGmp1JSQ6cPx+A6OhAnD0bdGsbgHPnApGU5N7vAa8bN+B944bZzSAbUhwOJIaEINUmWTdFiyagbduTaNXqFIKCknH9OrBwodmtsqbAhx5Co2PH4B0XZ3ZTyGYUhwNHO3bEsX/+MbsppLGHnnLAcdADnpdi8VzwVMQ5ypjdJLKR6+XLY0tMDBT2DS4nrEcP3PHTT/BITja7KWQzKb6++Ld6dVy2Qb/wyCPVsHhxeJ6PL136Bh58cCsWLkzSr1EW5lO2LJrccQf8Ll0yuym6iTxxAsdzee/eYJzFFMxIh5R0Wbp0KSIjI1GtWrVM95crVw6xsbHZBtOzy0iPjo5GCZsukkdE2kpKSsLSpUvRsWNHeHt7m90cIrIA9gtElBX2DUR0O/YLRHQ7ZqSbwx5pfjpTM9GzC5Rfu3YNxYoVy/bnfX194ZvFsuTe3t78kCOiDNgvENHt2C8QUVbYNxDR7dgvEJGKfYE53LvmxC3Vby1ME5lFvc2zZ88iNjY27RgiIiIiIiIiIiIici8MpANo06YNAGDJkiWZ7lu8eHGGY4iIiIiIiIiIiIjIvTCQDqB9+/aoUqUKfvnlF/z7779pt1+9ehXvv/8+fHx8MGjQIPMaSERERERERERERESmYY10AF5eXpgyZQo6deqE1q1bo2/fvihSpAhmz56N48ePY+LEiQgPDze7mURERERERERERERkAgbSb4mIiMC6deswZswYzJw5E0lJSahTpw4mTJiAPn36mN08IiIiIiIiIiIiIjIJA+npNGnSBAsXLjS7GURERERERERERERkIayRTkRERERERERERESUAwbSiYiIiIiIiIiIiIhywEA6EREREREREREREVEOGEgnIiIiIiIiIiIiIsoBA+lERERERERERERERDlgIJ2IiIiIiIiIiIiIKAcMpBMRERERERERERER5YCBdCIiIiIiIiIiIiKiHDCQTkRERERERERERESUAy+zG+CKFEUBAFy/fh3e3t4mt4aIrCApKQk3btzAtWvX2C8QEQD2C0SUNfYNRHQ79gtEdLtr164BcMYgyRgMpOsgJiYGAFC5cmWTW0JERERERERERESu6Pr16wgJCTG7GW6DgXQdFC9eHABw4sQJvpmJCIBcLa5QoQJOnjyJ4OBgs5tDRBbAfoGIssK+gYhux36BiG6nKAquX7+OsmXLmt0Ut8JAug48PKT0fEhICD/kiCiD4OBg9gtElAH7BSLKCvsGIrod+wUiSo/Ju8bjYqNERERERERERERERDlgIJ2IiIiIiIiIiIiIKAcMpOvA19cXY8aMga+vr9lNISKLYL9ARLdjv0BEWWHfQES3Y79ARGQNDkVRFLMbQURERERERERERERkVcxIJyIiIiIiIiIiIiLKAQPpREREREREREREREQ5YCCdiIiIiIiIiIiIiCgHDKQTEREREREREREREeWAgXQiIiIiIiIiIiIiohwwkK6hrVu3okuXLihatCgCAwPRrFkz/P7772Y3i4h0dPr0aXz22We49957UbFiRfj4+CA0NBQPPfQQNm/enOvPHz16FEFBQXA4HHjqqacMaDERmWXChAlwOBxwOBzYtGlTpvsjIyMxdOhQVK9eHf7+/ihXrhw6duyIv/76y4TWEpHWpk2bltYHZPfVvn17AEBSUhJmz56NwYMH44477kBQUBCKFCmCpk2b4uuvv0ZKSorJvw0RaSU1NRVffPEFGjRogICAAAQHB6N169Y5fv4fO3YMTzzxBCpVqgRfX1+UKVMGERER+OOPPwxsORGR+3EoiqKY3QhXsHLlSnTq1Al+fn7o27cvihQpgtmzZ+P48eOYOHEiXnrpJbObSEQ6eO211zBhwgRUrVoVbdu2RalSpRAZGYm5c+dCURT88ssv6NOnT5Y/m5qairZt22LHjh2Ii4vDsGHD8M033xj8GxCREfbu3YtGjRrBy8sLcXFx2LhxI5o1a5Z2/+bNmxEREYGkpCR069YN1atXx/nz5zFnzhxcvXoVY8eOxZgxY0z8DYiosP7991/MnTs3y/tmzZqFffv2YcKECXjllVdw8ODBtAB6+/btUbNmTVy9ehXz58/HmTNn0LVrV/z1119wOBzG/hJEpClFUdC7d2/Mnj0bVatWRefOnZGQkIB58+bh/Pnz+Pzzz/Hss89m+JmlS5eiR48eAIAHHngAVapUweXLl7F7927Url0b3377rQm/CRGRe2AgXQPJycmoVasWTp06hU2bNqFevXoAgKtXr6JJkyaIiorC4cOHUalSJXMbSkSamzNnDkqUKIE2bdpkuH3t2rVo3749goKCEB0dDV9f30w/+/HHH+O1117DRx99hBEjRjCQTuSikpKS0KxZM3h7e6N69er4+eefMwXSu3TpgoULF2Lu3Lno3r172u3Hjx9HnTp1kJycjMuXL2fZlxCRvSUmJqJs2bK4evUqTp06hTJlyuD06dOYN28eBg8ejMDAwLRj4+Li0LZtW2zbtg2///47evfubWLLiaiwZs2ahd69e6Nly5ZYunQp/P39AQAXL15Eo0aNcPbsWRw8eBDh4eEAgBMnTqBOnTooU6YMli1bhooVK2Z4vOTkZHh5eRn9axARuQ2WdtHAihUrcOTIEfTv3z8tiA4AISEheOONN5CYmIjp06eb10Ai0s2DDz6YKYgOAK1atUJERAQuX76MPXv2ZLr/4MGDGD16NF5//fUM/QYRuZ733nsP+/btww8//ABPT88sjzl69CgcDgc6d+6c4fZKlSqhTp06iI+PR2xsrBHNJSKDzZ07FzExMejatSvKlCkDAChXrhyefvrpDEF0AAgMDMTIkSMBAKtXrza8rUSkrXnz5gEA3njjjbQgOgCULFkSI0aMQEJCAqZOnZp2+/vvv49r167hm2++yRREB8AgOhGRzhhI18CqVasAAPfee2+m+zp16gSAA10id+Tt7Q0g84A2JSUFgwcPRvXq1TF69GgzmkZEBtmxYwfee+89jBkzBnfeeWe2x9WuXRuKomDhwoUZbj9x4gT27NmDu+++GyVKlNC7uURkgilTpgAAHn/88Twdn934gojs5+zZswCAypUrZ7pPvW3FihUApAzMH3/8gRIlSqBdu3bYvn07PvnkE0ycOBHLli1DamqqcQ0nInJTHH1pIDIyEgBQvXr1TPeFhoYiKCgo7Rgicg8nTpzAsmXLEBYWhjp16mS4b/z48dixYwc2bdoEHx8fk1pIRHpLSEjAoEGDUK9ePbzyyis5Hvvuu+9i/fr16NWrF7p164YaNWqk1UivWrUqZs6caVCrichIx48fx/Lly1G+fHncd999efqZH374AUDWSTxEZC8lS5YEIIuH3nHHHRnuO3bsGADg8OHDad9funQJjRo1wrBhwzB58uQMx9evXx9//fUXypcvb0DLiYjcEzPSNXD16lUAUsolK8HBwWnHEJHrS0pKwiOPPIKEhARMmDAhQymHXbt24e2338aoUaPQsGFDE1tJRHp76623EBkZialTp2Zb0kVVq1YtbNq0CfXr18ecOXPwwQcfpJWCGTp0KKpWrWpQq4nISFOnTkVqaiqGDBmSaz8BAJMnT8bChQvRrl07dOnSxYAWEpGe1JJuH3zwAW7evJl2e0xMDD777DMAwJUrVwAA58+fBwDs3LkTv/zyC6ZOnYpLly7h2LFjeOKJJ7Bz50706tXL0PYTEbkbBtKJiDSkngyvWbMGTzzxBB555JG0+xITEzF48GBUq1YNY8aMMbGVRKS3jRs3YuLEiRg9ejRq166d6/FbtmxB8+bNUaxYMWzfvh1xcXE4cuQIBg0ahBdeeAH9+vUzoNVEZKTU1FRMnToVDocDjz76aK7HL1iwAM8++ywqVaqEn3/+2YAWEpHe+vfvj4iICKxduxZ16tTBc889h6eeegp33XUXgoODAQAeHhK2UUu3pKSk4J133sGQIUNQrFgxhIeHY/LkyWjatCk2b96MdevWmfb7EBG5OgbSNaBmomeXdX7t2rVss9WJyHWkpqbi0UcfxS+//IKBAwfim2++yXD/+PHjsWfPHkydOhW+vr4mtZKI9JacnIzBgwejbt26eO2113I9PikpCX379oWHhwf+/PNPNGjQAAEBAahSpQo++eQT9OjRA3/88QfWr19vQOuJyCjLli3DiRMn0K5duyzrI6f3zz//oFevXihTpgxWrFiBsLAwg1pJRHry8vLCwoULMXbsWHh4eGDy5MmYM2cOunfvjlmzZgEASpcuDSDjDPhu3bpleqwHHngAALBt2zYDWk5E5J4YSNeAWhs9qzroZ8+eRWxsbJb104nIdaSmpmLo0KGYPn06+vXrh2nTpqVlj6h27tyJ1NRUNGvWDA6HI+0rIiICAPDtt9/C4XCgR48eJvwGRKSV2NhYREZG4t9//4WPj0+G//fp06cDAJo3bw6Hw4G5c+fi4MGDOHbsGJo2bYqAgIBMj6f2ETt37jT09yAifeV1kdG///4bDz74IEqWLImVK1eiSpUqRjSPiAzi6+uLMWPG4NChQ0hISMD58+fx7bff4vTp0wCARo0aAQCqVq2aVgKqaNGimR5HvS0+Pt6QdhMRuSMuNqqBNm3aYPz48ViyZAn69u2b4b7FixenHUNErkkNov/444/o06cPfvrppyzrnHbs2DFtQaH0oqOj8c8//6BWrVpo2bIl6tevb0SziUgnvr6+eOyxx7K8b82aNYiMjES3bt1QqlQphIeHIzExEQBw4cKFLH9GvZ0zWYhcR0xMDObNm4fixYujZ8+e2R73999/46GHHkLx4sWxcuVKVKtWzcBWEpGZZsyYAQBpMQY/Pz+0aNECa9euxf79+3HPPfdkOH7//v0AgPDwcEPbSUTkThyKoihmN8LukpOTUbNmTZw+fRqbNm1CvXr1AEiplyZNmiAqKgqHDh3iBxqRC1LLuUyfPh29e/fGL7/8Ai+v/F2jXLVqFSIiIjBs2LBM5WCIyLUMGTIE06dPx8aNG9GsWTMAQEJCAkqXLo3Y2FgsXLgQ9957b9rxJ0+eRMOGDXHx4kUcPHgQNWrUMKvpRKShzz77DCNGjMDzzz+PSZMmZXnMwoUL0bNnTxQrVgyrVq1CzZo1DW4lERnh2rVrafXQVbNmzUKfPn3QsGFDbNy4MS1J59dff0X//v3Rvn17/P3332kX2Q8ePIiGDRvC09MTx48fR7FixQz/PYiI3AEz0jXg5eWFKVOmoFOnTmjdujX69u2LIkWKYPbs2Th+/DgmTpzIIDqRi3r77bcxffp0BAUFoUaNGnj33XczHdOjR4+0C2xERLfz9fXFRx99hGHDhqFz587o2rUratWqhbNnz2LOnDmIjY3FSy+9xCA6kQv5/vvvAWRf1uXgwYPo2bMnEhIS0LZtW/z666+ZjgkPD8eQIUP0bCYRGaBp06aoUKEC7rjjDvj5+WHLli1YtWoVqlSpgj/++CPDTNe+fftizpw5mDVrFu6++2506tQJV69exezZs3Hz5k38+OOPDKITEemIgXSNREREYN26dRgzZgxmzpyJpKQk1KlTBxMmTECfPn3Mbh4R6SQqKgqA1ER+7733sjwmPDycgXQiytGTTz6JypUrY9KkSdiwYQP+/vtvBAUFoUGDBnjyyScxYMAAs5tIRBrZsmUL9u7diyZNmqBOnTpZHnP27FkkJCQAAH777bcsj2nTpg0D6UQuoE+fPpgzZw42bdqEpKQkVK5cGaNHj8aoUaMyZao7HA78+uuvaNGiBb7//nt8++238PX1RYsWLfDGG2+wpCwRkc5Y2oWIiIiIiIiIiIiIKAceZjeAiIiIiIiIiIiIiMjKGEgnIiIiIiIiIiIiIsoBA+lERERERERERERERDlgIJ2IiIiIiIiIiIiIKAcMpBMRERERERERERER5YCBdCIiIiIiIiIiIiKiHDCQTkRERERERERERESUAwbSiYiIiIiIiIiIiIhywEA6EREREREREREREVEOGEgnIiIiIiIiIiIiIsoBA+lERERERERERERERDlgIJ2IiIiIiIiIiIiIKAcMpBMRERERERERERER5YCBdCIiIiIiIiIiIiKiHDCQTkRERERERERERESUAwbSiYiIiIiIiIiIiIhywEA6EREREREREREREVEOGEgnIiIiIiIiIiIiIsoBA+lERERERGSKVatWweFwYOzYsWY3hYiIiIgoRwykExEREVEGUVFRcDgcmb4CAwNRt25djBs3DrGxsYV+HofDgbZt22Z537Rp0+BwODBt2rRCP4+R2rZtm+E18/DwQLFixdCqVStMmzYNiqKY3UTdjR07Nsv3j/rVo0cPs5tIRERERJRvXmY3gIiIiIisqWrVqhg4cCAAQFEUXLhwAQsXLsTYsWOxaNEirFu3Dp6enia30ppeeuklBAUFISUlBUePHsWcOXOwbt06bN++HZ9//rnZzTPEQw89hNq1a2e6vVatWia0hoiIiIiocBhIJyIiIqIsVatWLVPJjYSEBDRv3hybNm3C6tWr0a5dO3MaZ3Evv/wyQkND077fs2cPmjZtii+//BIjR45E5cqVTWydMXr16oW+ffua3QwiIiIiIk2wtAsRERER5Zmvry8iIiIAABcvXsxw38qVK/Hoo4+iZs2aCAoKQlBQEBo1aoTJkydnOE6tiw0Aq1evzlD2Y9q0aRgyZAiGDh0KABg6dGiG+9O7fv06xowZg7vuugv+/v4oWrQoOnXqhHXr1mVqt1py5ebNmxg9ejSqVq0Kb29vjB07FgMHDoTD4cCWLVuy/J3feustOBwO/PrrrwV70QDUqVMHbdq0gaIo2LZtW9rt69evx/3334/ixYvDz88PtWrVwpgxY3Djxo0MP1+/fn2EhIQgJSUl7bbU1FQUL14cDocDU6ZMyXC8Wl5l9erVGW4/duwYHn/8cVSsWBG+vr4ICwvDkCFDcPz48UxtVkvvnD59GoMGDUJoaCg8PDywatWqAr8O+bF37148/PDDKF26NHx9fVG5cmW8+OKLiImJyXBcz5494eHhgQsXLmS4vV69enA4HBg9enSG29WyQdOnT9f9dyAiIiIi18GMdCIiIiLKs8TExLRAeL169TLcN2HCBPz3339o1qwZevbsiStXrmDRokUYNmwYDh06hI8//hgAEB4ejjFjxmDcuHGoVKkShgwZkvYY9erVQ9GiRXHlyhXMmzcP3bt3z/Q8AHDp0iW0bt0a+/btQ8uWLfHUU0/h2rVrmDdvHiIiIvDHH39kWYv7oYcewq5du3DfffehaNGiqFy5Mtq3b48ZM2ZgypQpaNKkSYbjU1JSMHXqVJQoUQIPPvhgYV8+AEi7IPDHH3+gX79+8PX1RZ8+fVC6dGksWbIEb7/9NhYvXoxVq1bBz88PABAREYF///0XO3bsQOPGjQEAu3btwuXLlwHIRYzHH3887TlWrlwJPz8/NGvWLO22zZs3o1OnToiLi0PXrl1RvXp1REVFYcaMGVi4cCE2btyIKlWqZGhrTEwMmjdvjuLFi6Nv3764efMmgoODNXkdcrJu3Tp06tQJiYmJ6NWrF8LDw7Fx40ZMmjQJCxYswKZNm1CyZEkA8trMnTsXq1atQu/evdPavXv37rTXIj31e/WCEBERERFRnihEREREROkcO3ZMAaBUrVpVGTNmjDJmzBjlrbfeUp5++mmlatWqip+fn/LRRx9l+rmjR49mui0pKUnp2LGj4unpqRw/fjzDfQCUNm3aZNmGqVOnKgCUqVOnZnl///79FQDKd999l+H2c+fOKRUqVFBKlSqlxMfHp93epk0bBYBSr149JSYmJtPj3XnnnUqRIkWU2NjYDLcvWLBAAaC8+OKLWbbjdurzREdHZ7h97969ir+/v+JwOJRjx44pV69eVUJCQhRfX19l165dacelpKQoffr0UQAob7/9dtrtf/31lwJAmTBhQtptH3/8sQJAad++vRIWFpZ2+40bNxQfHx+lXbt2abclJiYq4eHhSpEiRZQdO3ZkaNvatWsVT09PpWvXrhluB6AAUIYOHaokJyfn6fdXFEUZM2aMAkB56KGH0t4/6b/S/11WrlypAFDGjBmT4TWoWrWqAkBZtGhRhsceNWqUAkB59NFH027bvXu3AkAZPnx42m2zZ89Oe228vb0z/F0rVKigVKlSJc+/DxERERGRoigKS7sQERERUZaOHDmCcePGYdy4cXj77bfx1Vdf4ciRI+jQoQM6dOiQ6fis6n57eXnhqaeeQkpKSqbM4IK6ePEiZs6ciXbt2mXIwgaA0qVLY9SoUbhw4QKWLVuW6WfHjRuH4sWLZ7p92LBhuH79On777bcMt6slU5544ol8tXHixIkYO3Ys3nzzTQwcOBCNGzdGfHw8nnvuOYSHh2PevHm4evUqHn30UdStWzft5zw8PPDhhx/Cy8sL06ZNS7u9devW8PT0xIoVK9JuW7lyJWrWrIkBAwYgOjoaBw8eBABs2LABiYmJaNu2bdqxCxYsQFRUFEaNGoX69etnaOs999yD7t27459//sG1a9cy3Ofj44MPP/ywQIvKzp49O+39k/7r5s2bOf7c+vXrceTIEXTu3BmdOnXKcN9bb72F4sWL45dffkFiYiIAoHbt2ihZsmSm1yYoKAivvPIKkpKSsHbtWgDynj558mSG14aIiIiIKC9Y2oWIiIiIstSpUycsWrQo7fuYmBisX78eL7zwAlq2bIkVK1agadOmafdfv34dEydOxNy5c3HkyBHExcVleLwzZ85o0q6tW7ciJSUFCQkJmRZDBYDIyEgAwMGDB9G1a9cM991eukU1aNAgvPbaa/juu+/w2GOPAQDOnTuHBQsWoEWLFrjzzjvz1Ua1jI3D4UBwcDAaNWqExx57DIMGDQIA7Ny5EwCyDOhWrFgRVapUweHDh3H9+nUUKVIEISEhqF+/PtatW4ekpCR4eHhgzZo1GDBgQFqJkpUrV6JWrVpZli7ZtGkTAODQoUNZvmZnz55FamoqDh8+jEaNGqXdXrly5bQSKvn166+/Fmix0ZxeG7Xu/pIlS3Do0CHUqVMnrZb7rFmzEB0djbCwMKxcuRKtWrVC69at4evri5UrV+K+++5jWRciIiIiKjAG0omIiIgoT0qUKIFu3bohICAAHTt2xOjRo7F06VIASMuA3rFjB+rXr49HHnkEJUqUgJeXF6KiojB9+nQkJCRo0o5Lly4BkMzl9evXZ3vc7YF8AChTpkyWxxYtWhQPP/wwpk+fjr1796J27dqYNm0akpOT852NDgDR0dEIDQ3N9n418zu79oSFheHw4cO4du0aihQpAkCCv9u2bcPWrVvh7e2Na9euoV27dggPD0d4eDhWrlyJ4cOHY+XKlQgICMhw0UB9zWbMmJFju29/zbJrn57y8tqkPw6Q12bWrFlYuXIlOnbsiH379mHIkCHw8/ND8+bN0wLoDKQTERERUUGxtAsRERER5Yuahb5169a02+bNm4cdO3bgsccew44dO/D111/j3XffxdixY3Hfffdp+vzqYpcvvfQSFEXJ9mvMmDGZflZd6DMrTz31FADgu+++AwB8//33CA4OxsMPP6xp+9P/DufOncvy/rNnz2Y4DkCGzHN1wVc1azsiIgKrVq1CbGwstm7dipYtW8LHxyfT882fPz/H16xNmzYZ2pHT66UXLV6b9LdFRERgx44duHr1KlatWoXq1aujXLlyejWfiIiIiFwUA+lERERElC+XL18GAKSmpqbdduTIEQBA9+7dMx2v1qe+nYeHB1JSUrK8T63JndX9jRs3hsPhwMaNG/PX8Fw0a9YMdevWxc8//4wlS5YgMjISAwYMQEBAgKbPAyCtTrka9E3v5MmTOHLkCKpUqZKWjQ4ArVq1gpeXF1asWIGVK1eiTp06aWVX2rVrhwsXLuDbb79FUlJSprIo6sUPrV8zPeT02sTFxWHbtm3w9/dHzZo1026/4447EBoamvbaFCtWLO1x2rVrh5SUFEyZMgVnzpxhfXQiIiIiKhAG0omIiIgoXz755BMAsgCmqlKlSgCAdevWZTh29erVaRnetytevDhOnTqV7X2ABJVvFxoaiocffhgbNmzARx99BEVRMh2zefNm3LhxIw+/TUbDhg3DpUuXMHToUAD5X2Q0r7p3746QkBBMnToV+/btS7tdURS8+uqrSE5OxpAhQzL8jFoffMOGDVi7di3atWuXdp+afT1hwoQM36d/vooVK+KTTz7BmjVrMrUnKSkp09/OLC1btkTVqlWxcOHCTAvGvvvuu4iJiUG/fv0yZNwDUlP96NGjmDVrFtq0aQMPDznVadKkCQICArJ9bYiIiIiI8oI10omIiIgoS//991+GhSkvXbqE9evXY8eOHShWrFhaYBIAHnjgAYSHh+PDDz9MqzF+6NAhLFiwAD179sSsWbMyPX67du3w+++/o0ePHqhfvz48PT3RrVs31K1bF82bN4e/vz8+++wzXL58GaVKlQIAjB49GgDw1Vdf4dChQ3jllVfw008/oXnz5ihatChOnjyJbdu2ITIyEtHR0fnOJh84cCBeeeUVnDlzBg0bNkzLatZacHAwvvvuO/Tr1w9NmzZFnz59UKpUKSxbtgzbt29HkyZNMGrUqEw/FxERkbZwaPqAcLly5VC9enVERkYiKCgIjRs3zvBzvr6+mDVrFjp37ow2bdqgXbt2aQt1Hj9+HGvXrkWJEiVw8OBBXX7f/PDw8MC0adPQqVMndOnSBb1790alSpWwceNGrFq1ClWrVsUHH3yQ6eciIiLw22+/4cKFCxleGx8fH7Rs2TKtnj8z0omIiIioIBhIJyIiIqIsHTlyBOPGjUv73tfXF+XLl8fw4cPx2muvoWLFimn3BQUFYcWKFRg1ahTWrFmDVatW4a677sKMGTNQpkyZLAPpkyZNAgCsWLEC8+fPR2pqKsqXL4+6deuiePHimDVrFsaOHYvvvvsO8fHxAJyB9OLFi2PDhg344osvMHPmTMyYMQOpqakIDQ3F3XffjTfffDOt7El+BAcHo2fPnvj55591y0ZX9e7dG6GhoRg/fjzmzJmDGzduIDw8HG+++SZeffVV+Pn5ZfqZiIgIjB8/Hp6enpnqmUdERCAyMhItW7aEl1fmYX7jxo2xa9cufPTRR/jnn3+wfv16+Pr6oly5cujRowf69eun2++aX/fccw82bdqEt99+G0uWLMHVq1dRtmxZvPDCCxg9enSWf9v0wfP02frqfUuXLkXNmjXTFislIiIiIsoPh5LVXFgiIiIiIjdVp04dHDt2DGfOnMmwoCUREREREbkv1kgnIiIiIrpl4cKF2Lt3LwYMGMAgOhERERERpWFGOhERERG5va+//honT57ElClTcP36dezfvx+VK1c2u1lERERERGQRDKQTERERkdsLDw/HqVOnULNmTUyYMAFdu3Y1u0lERERERGQhDKQTEREREREREREREeWANdKJiIiIiIiIiIiIiHLgZXYDXFFycjJ27tyJMmXKwMOD1yqIiIiIiIiIiIhIG6mpqTh37hzq168PLy+Gd43CV1oHO3fuRJMmTcxuBhEREREREREREbmoLVu2oHHjxmY3w20wkK6DMmXKAAA2bNiAChUqmNwaIrKC5ORkLF++HO3bt+fVYiICwH6BiLLGvoGIbsd+gYhuFx0djSZNmqTFIMkY7IF1oJZzCQsLQ/ny5U1uDRFZQVJSEkqWLIly5crB29vb7OYQkQWwXyCirLBvIKLbsV8gouywpLSx+GoTEREREREREREREeWAgXQiIiIiIiIiIiIiohwwkE5ERERERERERERElAMG0omIiIiIiIiIiIiIcsBAOhERERERERERERFRDrzMboC7S0lJQVJSktnNILIVb29veHp6mt0MIiIiIiIiMhBjKOQOGPOwLgbSTaIoCs6ePYsrV66Y3RQiWypatChCQ0PhcDjMbgoRERERERHpiDEUcjeMeVgTA+kmUT8ASpcujYCAAP5jEOWRoii4ceMGzp8/DwAICwszuUVERERERESkJ8ZQyF0w5mFtDKSbICUlJe0DoESJEmY3h8h2/P39AQDnz59H6dKlOeWJiIiIiIjIRTGGQu6GMQ/r4mKjJlDreQUEBJjcEiL7Uv9/WB+PiIiIiIjIdTGGQu6IMQ9rYiDdRJyKRFRw/P8hIiIiIiJyHzwHJHfC97s1uWQg/eeff8awYcPQqFEj+Pr6wuFwYNq0aVkeO3bsWDgcjmy/oqKiDG07EREREREREREREVmLS9ZIHz16NI4fP46SJUsiLCwMx48fz/VnBg8ejPDw8Ey3Fy1aVPsGEhEREREREREREZFtuGRG+pQpUxAVFYULFy7gqaeeytPPDBkyBGPHjs30xUA6Galt27Zo27at5o87bdo0OBwObNu2TfPHJiIiIiIiIiLKTWRkJO69916EhITA4XBg7ty5mjyuw+HAs88+q8ljubI1a9bggQceQNmyZbN8/RVFwVtvvYWwsDD4+/ujQ4cOiIyMzHDMpUuXMGDAAAQHB6No0aJ47LHHEBsba+BvYS6XDKR36NABlSpVMrsZpom+Go8NRy4i+mq84ceqAVuv4JLwq1QXXsElUbp0aURERGDhwoX5+j3Se//997PsYDds2ICxY8fiypUrBX5svQwZMiRDmaCgoCBUqVIFvXr1wuzZs5Gamprh+Oir8YgProBkn6BcHzu/f7djcd7wLJLz6uZ6vW/IOsz+G/N9k39m9ucFOdZOXPX3yi++F+zHCv/rfC+4Nr4X7MkK/+95PZbvG3sy+30DAInJqYi9mYTE5NRcj7WTPXv2oFevXqhUqRL8/PxQrlw5dOzYEZ9//nnaMdnFRHKS/vXav38/xo4dm2354vy8toU5dvDgwdizZw/ee+89/PTTT2jUqFGOj3vkyBEMGzYMVapUgZ+fH4KDg9GyZUtMmjQJ8fHsQ/IrLi4Od999N7788sss7//www/xf//3f/jmm2+wefNmBAYGolOnTrh582baMQMGDMC+ffuwdOlSLFiwAGvWrMGTTz5p1K9gOpcs7VIQa9aswebNm+Hh4YHq1aujQ4cOCArKPaCph5QUwNOzYD87c+sJvD5nD1IVwAFg8J3eaF0+6z/zmlPJmL4/CQoyH3t7G3I6Nr39+/cjqG5HlLjvecDhgAMKIoKiseW3SejSpQvmz5+Prl275vv3ev/999GrVy/06NEjw+0bNmzAuHHjMGTIEEvOHvD19cWUKVMAAPHx8Th+/Djmz5+PXr16oW3btpg3bx6Cg4Mxc+sJvDZ7D5Q7+8IBYOyPSwr0d8v+2KIo99RUTFmxH9euXdPoMQEPBzD+wTro07hivl8bMlb6viG3v1t+jtXj+Ulo1Z9rdawr/d34fhRm9wuUf+wXSG/sF+zJan1DTseyD7EnvfqG/Bwbl5CMqIuxgJcPHADKFfNH8UBfrX5F02zYsAERERGoWLEinnjiCYSGhuLkyZPYtGkTJk2ahOeeew5A9jGR7FyKS8Dpy/FQbn2/adM2jBs3Do0bN0bx4sUzHBubqODiTSXt+5J+DgT5ZL3QZWGODVRuYuPGjXj55ZcxaNCgtNuvXbuW4Vj177tx1TL07t0bvr6+GDRoEGrXro3ExESsW7cOo0aNwr59+zB58uQ8vR4kOnfujM6dO2d5n6Io+OyzzzB69Gh0794dAPDjjz+iTJkymDt3Lvr27YsDBw5g0aJF2Lp1a9pFkM8//xxdunTBxIkTUbZsWcN+F7MwkH7LmDFjMnxftGhRTJo0KcM/d3YSEhKQkJCQ9v3169cBAElJSUhKSsp0fFJSEhRFQWpqaqasZADw9PTAgAHAgQP5+x1SfeNxpfUe6XUAKACm7r2Jd599FCnXYzI+R5ESKPfUVDg8PHQ5FrdWF1bgwOq4spi/YAnq1QjHL7/8gi5duuTvF7tFfc1uvw1Atq9lQd24cQMBAQGFegxFUeDl5YX+/ftnuP3tt9/GhAkT8MYbb+Dxxx/Hp99OlSC6+nPQ5+/m8PDAwotFMaXHwxmOLcxjpirAG3P24J5qJRAW4q/J65ZXqampUBQFSUlJ8CzolScDqX1BVn2C3qKv3kwboALyd3t9zh40r1wMYSF+BT5Wj+cncftrZmZ/nv7/3RX+blZ6P7pzv0D5x37BfZjVN7BfsKfoqzcNOZfQ4lj2IQXnimOG/Bx75nIcrtxIQqmiEu5QAJy+HI9AHy94e2YdxLWLd999FyEhIdi8eXOm5MDz589niHNkFRPJSlKKkiGIDgDXk+S7U6dO4fDhw847PLzgUzo8w89fvKngzIljQGpyxgcu5LH/nbkAAEhMTMyxDQqAzbsOom/fvqhUqRKWLVuGsLCwtPuHDx+OcePG4Z9//inQ61NQcXFxCAwM1O3xb5dbzCM5WV7z69evZ0iY9PX1ha9v/i8yHTt2DGfPnkWHDh3SbgsJCUHTpk2xceNG9O3bFxs3bkTRokUzzCTo0KEDPDw8sHnzZvTs2TPfz2s3bh9Iv/vuu/HDDz+gbdu2CAsLw9mzZ7FgwQK89dZbaVnO3bp1y/Exxo8fj3HjxmW6fc2aNdi/f3+m2728vBAaGorY2FgkJiZmuM/T0xNFihTBgQPAzp35+118K8Yh9LbPEIeHJ7yKtkDK9aMZ21CsStoA5vZjvZOOompV5z9tSsmqSMzi2Cp1m8Ez5kiG26/5hWZ63BQFOH01EX5+flAUJcM/+Oeff4758+fjv//+Q3x8PGrWrIkRI0akXf0CgGLFigGQK2E//vgjAKBfv36oWLEiJkyYAACoWrVq2vG7du1CxYpyFXvmzJn4+uuvcejQIfj5+SEiIgJvv/02ypcvn3Z8165dERMTg6+//hpvvPEG/v33XwwePBhXrlzBkiVLcPDgQXh7e2f4nR588EGcPHkSW7duRXbUQU5WGeDDhw/HsmXLMGvWLHQZ8mKGD7jbX9/Lly/j8uXLSEpKgk/x8ln+3Srd1RgxBzYiLi4OKSkp8PLyQnCFGlkeW7xiTVw6uBmpqakIDAxEmdpNkJzFcb4lKiA+9hK8vLwQEhKCkiVLZvleSFGAbv0fw4HVf2Hw4MEYP348Ll26hNdffx0LFy6Ew+FAly5d8PTTT6N169b48ssvM1xcOHz4MN577z2sWbMG8fHxuOOOOzBq1KhcL7gkJiYiPj4ea9asSfsAsYOlS5ca/pyRVx1IVTJ+8KYqwO//rET1EKXAx+rx/CSyes0cHp4oV7MecD5jjTqUzvp/XY9jXeHvZsX3ozv2C5R/7Bfcj9F9A/sFe4q86oAC6/UNWR7LPqTQXGnMkJ9jT8d7o3rF0Ay3KQAuX70OP5tHtf777z/UrFkTHh4emWIHfn5+uHbtWrYxka+++gonTpzApEmTsGbNGpw6dQr+/v5oeU9rPP362yhXQeIi837/BW+99AwAZFhHcMqUKWjcvBUAYN3KpZjy+Sc48P/snXd4FNXXx7/bkk0lhBKaQIDQi4hIL6EqiCBIs1CkCSKiKAjSq/oqVYWfqIACgjSxUEQISFeRKkiR3iFAerJt3j+WWXaTbLKz2dm5d/Z8nodHszs7c2fOmXPPPffcc08cg1arRb169TDyzRGoVKnSowbpc5/wCjKG4NTxI1iwYAGOHDkCm82GWrXr4I1xU1H7ifoAgIWzP8CiOfb4zfz58zF//nyUKlXKXgI4l/MuWTgPqampmDt3LsLCwnI8m+LFi6Nfv34un5tMJnz33XeYPn06zp8/jwoVKmDatGkugeHcnlfz5s0xdepURxwJAFauXInXX38dP//8M9avX48ff/wRZrPZURpn8eLF+Oyzz3Dr1i1Ur14d06ZNw8yZMwEAP//8s+M8WVlZmD17NtasWYNr166haNGi6NatG95///18g935xTzu3r0LAKhevbrL55MmTcLkyZPzPHdu3Lx5EwAQExPj8nlMTIzju5s3b6J48eIu3+v1ekRHRzuOUTucm5yCk322pHz58hg+fDiqVauGtm3bYvz48fkG0seOHYu3337b8fe1a9dQvXp1NG/eHOXLl89xfGZmJq5cuYLw8HAYjb6bebfcD4NgAzROvolg08DyYDWAkGzHZkCw7cj12NrVQvD333DM5N1IykCzj3Y6ZooBQKcBEn5ajZKFXM87f/E3mPOfzcVB0mqA5QvnIC0tDf369UNkZCQuXQIyM4HPP/8C8fGd0L59H5jNJmzatBr9+vXDl1/+iP79OwIAli1bhsGDB+Opp57CwIEDAdgD52FhYbh06RJWrVqF2bNno0gRew3w2NhYhIWFYebMmZg4cSK6d++OQYMG4e7du/j000/RqVMnHDp0yDHbq9fr8eDBA/To0QM9e/ZEnz59EBMTg7CwMKxatQr79+93KUdz8+ZN/P7775g4cSIiIyPdykMMvrs7pm/fvtixYwdunDkKDR6DgEezIOLz/fn75XjttdfQrVs3tGnTBnfTLfjyluDI+Befb+bdyzCbzXj99ddRpUoVXL9+HWt++Q0mDVzkBsGGamWK4oUhc3Dx4kXMmzcPNcsVx7FcjntnSB/ERAYjISEBa9euRd++ffHW+1Ny6IJgs6JuXBkM6jwbMTExCA8PR+vWHXD06B/o2fM1VKhQFTt2bMSgQfYlaQ8eGHH/fiTKlQP++ecftGvXDqVLl8Z7772HsLAwrFmzBi+//DLWrFmT52xmZmamo9Pz5XskF2azGdu2bUPbtm1zTMzIzY2kTHx+6ncXuWk1QI8O8blmhnhy7MCBwOnTuV+vShXgYUUjn50zt/OqGXfPbOfmDbnKrOUn8hzb4uPfXSb61CA3lvQxkOwCwJ4u8AYrdiG3Y0kXfItStoHsAp/cSMrEZyd3uYwlWLEN2Y8lG+I9avMZpB575W4yzl+45PKZBkDhQhEuGelinCE3jEaAxa30ypcvjwMHDuDy5cuoWbNmrse4i4lERkbi33//xaFDh9C7d2+ULl0aly5dwqJFi/B3j2exfscBhISEol6Dxnjx1SFY+fX/MHbsWFStWhUA0LZtW0QXLY5PPl+M8W8NQ+MWrTBy3CRkZmRgw8qlGDBgAA4dOuSIa5mtAs7cSnEZH2gAWExZGDBgACIjIzFmzBgYDAb874svMKBHJ3y15mfUrvskWj/zLCIiC+H/poxDr1698MwzzyA8PBw1a9aE2Srg9K0Ul3ve9dtWxFaogLZt2zo+y0u+ALB375/45ZdfMHToUERERGDBggXo27cvLl686IgXuXtezz33HE6cOOFYYS/GGEaPHo1ixYph4sSJSEtLQ2RkJBYuXIjRo0ejWbNmePvtt3Hx4kW88sorKFy4MMqUKeOIAdlsNvTo0QN79+7FoEGDULVqVZw4cQILFy7EpUuXsGHDhjx1I7+Yx7Vr1wDYSyyXLl3a8bk32eiE5wR8IN0drVu3RsWKFXH8+HEkJyfnGTDNvmxCnBEzGAy5dnJWqxUajQZarRbabDPyBcGaEoJ7W2shuv1RaLRaCDbg3taasKaE5HHsCWi0AgSbJsexYttKFw7DrK61MG79CVgFATqNBjO71kTpwjmXtEQFA/e2LkB0++HQaHUQbFbc2fopVp/+HV9//TXat28PAMjIANLTgTVrzsBofHTNLl3ewMsvP4HFi+diwIBOAIA+ffpg2LBhqFChQo5SO/Xq1cOqVavw/PPPu0xaXLp0CZMnT8b06dMxbtw4x+fdunVD3bp1sWjRIpfPb968iUWLFmHIkCGOz2w2G8qUKYOVK1e6TKasXr0aNpsNr7zySp7y0zwMdrs7pnbt2gCAO5fPokm4gN2ZZaDR6gDBhpnd6qB04TBs3rwZNWrUwNq1ax2/i/vzsossKt7/A9vP/4uDBw+6LK+ZNm0aVv1xGe9vsB8r2KyIubwDOzf/4GibIAiYP38+Fu8Yi+mb/4NVEOy16brVQc/69uc/bNgwvPbaa1i4cCFmzJiBWV1rYczao4BGC8FmRcfiSfj8nY8d112/fj3+/ns/3n57Lnr3fhMA0KnTMLz+ur0DzMrSIiNDC60WeOutt1C2bFn8+eefjnfo9ddfR9OmTTF27Fh069bN7fPVarXQaDRu3zNWUaK9ZYsacn2HyxaN8PrY48fdr5oxmQDnWxTPKeoNBBtmdasj6Zy5nVfNlC1qwKjmpfBRwhVotDqfyMybY99sXAxz9tzMsw28yS27PmoY0MdAsAsAe7rAGzl0FwJmda3td7vg3AYt7PVsSRfkwd+2gewCn5QtakCHYkn4+VaEoj6DJ8eKx7237hgEaJjog3lDLT6D1GNLFQ7DvVsGaB5OGGmgQamoYFhMmXDO001MtMcaciMkBMiWSOtzQkNDHWNtT3n33XfxzDPP4IknnsBTTz2FZs2aoXXr1oiPj3fIOq+YSKdOndCjRw+Xz5577jk0atQIv236EZ269cJj5cqjbXwLrPz6f2jXrh1atmzpODY1NRUfTR6Lrr37YOKHc6GBBqULG/HeiNdQpUoVfPDBB4465MFae+3ya/czIdjfYpQubMSANybBbDZjz549qFChAgB74mDlKlUwd8YkfL32F1SpVguVShfD/00Zh3r16rncR7AWKBFhwM0U+6r+tJQU3L55HZ07d3aJp4hxJHecO3cKp06ddFQsaNWqFerUqYPVq1dj+PDh+T6vDRs24JVXXgHwKI4THR2N7du3O0qrmEwmTJo0CfXr18eOHTug19vDqnXq1EG/fv1QpkwZx29XrlyJ7du3Y9euXWjatKnjerVq1cJrr72GAwcOoHHjxm7vJ7+Yh3jtiIiIPGOWnlKihH3Vx61bt1xK6dy6dQuPP/6445jbt2+7/M5iseDevXuO36sdCqTnQdGiRXHu3Dmkp6f7RCn9Qeqxssi40B36qAxYHsyDNcX9xi32Y4tBH5UOy4PQXAPuIj3rl0XzysVw8W46yhcNzZGJ7nrebYjKuIE7mRqMGtIH1Uf3xfLlOgwcOBARERHo2rWr41jnIHpy8n3YbFY8/ngzbNv2ncQ7d2X9+vWO2T9xuQtgf+nj4uKQkJDgEkgPDg5G//79Xc6h1Wrx0ksvYf78+UhJSUFEhL1DX7FiBRo3bozY2NgCtVHczDYlJQXlQq5h1aKJKBlXG+WKhKLnh/alQFFRUbh69Sr+/PNP1K9vXxLlLIuy0UZUL98bnTp1cgmii/R6qixaVCmGRcvXY8bYN/HxVwtdOvZmzZphzpw5qBeVhT3vxeeQb0pKCrKystCsWTP873//w7///oue9esgYeXnWLpuE4TkW5h7+4rLNbds2QK93oDnnx/k8iy7d38df/21w/HZvXv3sGPHDkydOhUpKSmOvQUAoH379pg0aRKuXbvmMrNKeI+Ud1jKsVKuv/zj97Ft/1F0im/gmKgh3NM6NgRv9nwVhR+rjGP7tvtMZlKO7VK7ON55uQPCYsrj3792+0QXWKBn/bL4esa72PX3KXRr3zxg9VFpu0BIp2f9svjo7f7459IdLJ4zM88N+uSSb8/6ZTH3vddw+OxVfP7RZNokUGWQXeCTqkH38L9Fb6Lt8y/i6/kfKuIzeHpsz/plcXzb9/h40TcB3QfzhtJ6AwBhwXqULhoGrT4IQXotzFkZjjE1K6Smpkquod22bVvs378fs2bNwtatW7F//3589NFHKFasGL788st8KySEhDx6ZmazGcnJyahUqRKioqLwzx978HR8M9SsVgWnjblPwGzbtg1JDx5gcP9XEIlMBOm1sGXYa3I3aNAACQkJLsdHhwUjPNgAk8WGIL0WOo2AX3/9FV26dHEE0QGgZMmSeOnFF7F48WIUDbKhaHQUrlvuu72PqBADLv93Flp9EGIi7XIVYzCe0qhRG5eyv7Vr10ZkZCTOn39U6jiv5/X33387AukigwYNcqlP/tdffyExMRGzZs1yBLIB4KWXXsJbb73l8ts1a9agWrVqqFq1qktcqlWrVgCAhISEPAPp/iY2NhYlSpTA9u3bHYHz5ORkHDx4EEOHDgUANGrUCA8ePMChQ4dQr149AMCOHTtgs9nQoEEDpZruVyiQ7oa0tDT8888/CAsLQ9GiRZVujiSsKbdgTbkEIH8Dbk0JyTOA7kzJQiEeO8iFjRpcPXscT9WMQ+fOndG7d2/UrVsXw4cPf1gmJQgAsHv3z/j66+k4c+YITKZHG7ZKncXNztmzZyEIAuLi4nL9PvtsXunSpREUFJTjuD59+uDDDz/Ehg0b0KdPH5w+fRqHDh3CokWLCtQ+wN7JAvbOITMzE9aURGjunIM+4lHnM2bMGPz222946qmnUKlSJbRr1w4vvvgimjRpgpKFQnDr1i0kJye7XQIG2OUWG2aGNSXRpeYX8Kj+/P3791G7tl2+//zzD4b1G48dO3bkqEOWlJRk/51Rg6wrxxEZGZnjuV26dAnFipWE0ei66ehjj1Vy+fvcuXMQBAETJkzAhAkTcm377du3KZDuQ6S8w1KO9RRb6j1kXTkOIa2yT8+rVkS7YLh/0SNZyCFfo9EIa0oiUlLvoUQk+yWUpGBNTUTWleNAei2lm6IoRUP1yNAkISMxCecT8z++3mNlcu0vCf9hTrqDrCvHPdqYTy67H641I+vKcRhteayvJrhFaX+BkI7oMxRHkmI+g5Rji4bqqQ/mEKX1BgCC9FoYHxZFN2flczBH1K9fH+vXr4fJZMLRo0exYcMGzJkzBy+88AKOHDmSowa2MxkZGZg1axaWLFmCa9euQRAeFV5JTUmGYMpAkD7nRpUiZ8/a9zFo37ZNrt+LSaUZGRmOeIBIiRIlcPPmTaSnp6NKlSo5flutWjXYbDbcv3MDpYpH5/jearXizh37BqQWiwV3b99EoUKFUKScPQbgnGznCSVL5pzcL1y4MO7ffxTAz+t5Zb8/ADkSKC9dspcYcqkdD3t2ePbSzmfPnsWpU6dQrFixXNubPbPbH6SmpuLcuXOOvy9cuIAjR44gOjoaZcuWxciRIzF9+nTExcUhNjYWEyZMQKlSpdClSxcAdpk+/fTTGDRoEBYtWgSz2Yzhw4ejV69eKFWqlN/vRwkCOpCekpKCGzduoHJl16BORkYGBg0ahJSUFPTv399llokPxEGNckEPcZCd+bCAlVarRXx8PObNm4ezZ89Co6mBw4d3Y9So51C3bnOMGfM5ihQpCb3egJ9+WoKtW1cW6Po2mw0ajQabN2/OdXfj7DPXzrOSzlSvXh316tXD8uXL0adPHyxfvhxBQUE5lgJ5w4kTJwDYDfA///wDIGcZmGrVquH06dP4+eefsWXLFqxbtw6ff/45Jk6cmOsGt/mR27MA4Og8Hjx4gBYtWiAyMhJTp05FxYoVYTQa8ffff2PMmDGOuvlifS535/ME8VzvvPOOo+RPdrJ3TgTfZGXZvd0Md+stCRfE5+TOPvkD8V0Xd4tXUwBV7J8y8yq0GAA0btwYf/31l8fH16hRA8ePHy/whDfhPaLOKrk/iHjtQH9/CIIVRB+Lh32DALIhhG8IDQ11JKeJnDqVd2mXatXkb1NBCAoKQv369VG/fn1UrlwZ/fv3x5o1azBp0iS3v3njjTewZMkSjBw5Eo0aNUKhQoWg0WjQq1cvR1wkL79NHJd/++23uZbmEONhq1evzrGK3zkI7Q1XrlzJEahetGgRnnrqKZQqVcoRM/EUrTbveAeQ//PKTkHGYjabDbVq1cLs2bNz/f6xxx7z+tze8tdffyE+Pt7xt7jfY9++fbF06VKMHj0aaWlpGDx4MB48eICmTZtiy5YtLv3LihUrMHz4cLRu3RparRbdunXD/Pnz/X4vSsFbhNgjvvzyS+zZswcAcPz4ccdnO3fuBAA0bdoUAwcORGJiIqpWrYr69eujWrVqKFGiBG7duoXffvsNV69eRa1atfB///d/St1GAWAvkA7AsctwamoqIiKAHTvWISjIiAULtiIo6FGN+Z9+WpLjfO4Mv7vPK1asCEEQEBsbm2OiRCp9+vTB22+/jRs3bmDlypXo2LGjI5O7IHz77bfQaDRo27YtDh06BCD3euphYWHo2bMnevbsCZPJhK5du2LGjBkYO3YsihUrhsjISMkdjDt27tyJxMRErF+/Hs2bN3d8fuHCBZfjnINr2SlXrhx27EhAZma6S1b6lSvnXI4Tl30ZDAaXXbQJecjIyMCHH37o8U7awcHBeP311wv8/jhDgUtpsBQsA+ztoUC6urBarY4gelhYWJ6DLEEQHKv10tPTJS9bJnwHS7YhkN8fNbNlyxa8+eabHsu3WLFiWLduHcqxuItfgMCCXZAC2RD+uHfvHho1aoSLFy8qcv1y5cph/vz5yMjIQGxsLAoXLgyNRpPDH8krjh0aCvDkvoilW2/cuAHAfexj7dq16Nu3Lz755BPHZ5mZmXjw4AGARzGGvGInAFC8ePE8x+Xt27fHtm3bcnxerFgxhIaG4nQuOwT/+++/0Gq1bgPGJUqUcJxTEAScOXMGcXFxEAQBzz77LL744gvs378fjRo1ctsuqeT3vPJD7OvOnTvnEpC2WCy4ePGiYy88wP5sjx49itatWzOThNKyZcs8J0A0Gg2mTp2KqVOnuj0mOjoaK1cWLPmVZ1QZSN+zZw+WLVvm8tnevXuxd+9ex98DBw5EdHQ0hg0bhj/++AObNm3C/fv3ERISgmrVqmHEiBEYPny4opmA3iNOwSrnSIkbR4rOkdlsxq+//oqgoCBUq1YNV6/aZws1Gg1sNqvjd9evX8SuXT/kOF9YWFiuhk3sOLN/17VrV4wdOxZTpkzB8uXLXYyWIAi4d++eY9fm/OjduzdGjRqFN998E+fPn/fJ5MoHH3yAX3/9Fb169UJcXJxL5r4ziYmJLu0MCgpC9erVsXnzZpjNZhiNRnTp0gXLly/HX3/9laNOuiAIkgy2mGHubFhNJhM+//xzl+NE5ze3Gdv27dtj8eLF2LBhsWOzUZvNhjVrPnM5rnjx4mjZsiX+97//4Y033nDZzAIA7ty543YJFCGdTZs2SV7F8ODBgxy2tCBQ4FIaLAyKnTfSzszM5Ga/EE8gfXyUwQjYN93Oq86oxWJxlEXLzMykQLqCsGAbKAimblasWIEzZ854fPzly5fx66+/YtCgQfkfTMiC+C4699ssQzaEP/78809JdsHXmEwmAPZx5YMHD3yS2MYKCQkJaNmyZY5x+6ZNmwDAUTLFXUxEp9PlCIwuWLAAVqs9ziLGGNzFTtq3b4/IyEjMnDnTZYNTEXFcXrJkyRxjdvH67dq1w8aNG3Hx4kVHeZNbt25h5cqVaNq0qdsxhNFodAneR0dHQxAE2Gw2jB49GitWrMDAgQOxY8cOxMTEuPz26tX/sHv3z46Yg6fk97zy48knn0SRIkWwePFilwoWK1ascCkhAwA9evTApk2bsHjxYgwePNjlu4yMDNhsNvKpOUSVgfSlS5di6dKl+R4XGRmJTz/9VP4GeYG3S44EwYYjR+ydTM2aIV7tZu6L5U6JifZCq3v27EFaWhpWrlyJs2fP4r333nMY0aZNO2LlytkYMeJptG//Iu7du421az/DY49Vwtmzx1zOV69ePfz222+YPXs2SpUqhdjYWDRo0MCxucH777+PXr16wWAwoFOnTqhYsSKmT5+OsWPH4uLFi+jSpQsiIiJw4cIFbNiwAYMHD8Y777zj0b0UK1YMTz/9NNasWYOoqCh07NjR4+dgsViwfPlyAHZH8dKlS/jxxx9x7NgxxMfHO3a/dhdIb9euHUqUKIEmTZogJiYGp06dwqeffoqOHTs6Nt6YOXMmfv31V7Ro0QKDBw9GtWrVcOPGDaxZswZ79uxBVFSUx+1t3LgxChcujL59+2LEiBHQaDT49ttvc3Q0eWWkd+nSBbVqPYV580bh6tVzKFeuKnbv/hHJyfcAuM6Ef/bZZ2jatClq1aqFQYMGoUKFCrh16xb279+Pq1ev4ujRox63ncgbsVOvUqUKXnrppTyPPXToEDZu3OjxrLynUOBSGiwEyzQaDYKDg5GVlaU6uZE+ugbS89MzvV4PvV4Pi8US0M+MBVgo4UBBMHUjynX06NHo3r17nseOGzcO27ZtI11QGBZ8BimQDeEPUVZ169bFxo0b/X59i8XiWFmbWzIXz7zxxhtIT0/H888/j6pVq8JkMmHfvn1YvXo1ypcv7yin4i4m8uyzz+Lbb79FoUKFUL16dezfvx+//fYboqPtNcnF8ffjjz8OnU6HDz/8EElJSQgODkarVq1QvHhxLFy4EK+88gqeeOIJ9OrVC8WKFcPly5fxyy+/oEmTJvnGzaZPn45t27ahadOmGDZsGPR6Pf73v/8hKysLH330kcfPQqPROALpFStWxMqVK9GzZ09Uq1YNffr0QXR0TaSlmXDs2D5s374Gzz7bT/Lzdve8PE20DAoKwuTJk/HGG2+gVatW6NGjBy5evIilS5eiYsWKLvGOV155Bd9//z1ee+01JCQkoEmTJrBarfj333/x/fffY+vWrTmSIQn2UWUgnXesVmDFCu9+m5GR5VjOtG+fERI3OXZpQwHKXztK6ixfvhxr165F1apVsXDhQgwZMsRxTP36rTBhwldYtuwDzJ49EqVKxWL48A9x48bFHIH02bNnY/DgwRg/fjwyMjLQt29fNGjQAPXr18e0adOwaNEibNmyBTabDRcuXEBYWBjee+89VK5cGXPmzHFk4j722GNo165dvjtfZ6dPnz74+eef0aNHD0mZHllZWY5dn0NDQ1G8eHHUq1cPEydOxPPPP+8InLsLpA8ZMgQrVqzA7NmzkZqaijJlymDEiBEYP36845jSpUvj4MGDmDBhAlasWIHk5GSULl0azzzzjOQabUWKFMHPP/+MUaNGYfz48ShcuDBefvlltG7d2qWOeV6BdJ1Oh4ULf8G0aW/il1+WQaPRomXL5zFw4CQMHNgEQUGPHPzq1avjr7/+wpQpU7B06VIkJiaiePHiqFu3LiZOnCip7UTeiIGXWrVqud3cVWT58uXYuHGjzwc3FLiUBiuDYqPRSIF0leLc93iyH4zRaERqampAPzMWYME2UBBM3Yg+Q+XKlfMd4Isbi5EuKAsLE2xSIBvCH6KORUZGKlLXOTMz07EpZUHrcrPGxx9/jDVr1mDTpk344osvYDKZULZsWQwbNgzjx493JMa5i4nMmzcPOp0OK1asQGZmJpo0aYLffvsN7dq1A/AoxlCiRAksWrQIs2bNwoABA2C1WpGQkIDixYvjxRdfRKlSpfDBBx/g//7v/5CVlYXSpUujWbNmOeqi50aNGjWwe/dujB07FrNmzYLNZkODBg2wfPlyNGjQwONnodVqYbPZHDJ+7rnncOzYMfzf//0fNm7ciGvXFiIoKBiVKtXGyJGfoEsX6Suh3D0vd/u25cbw4cMhCAI++eQTvPPOO6hTpw5+/PFHjBgxwsUOa7Va/PDDD5gzZw6++eYbbNiwAaGhoahQoQLefPNNn5ZRJfwHBdIZpCABbGdnpCCOlLdt6NevH/r164ehQ4di0aJFmDx5cp4bYzz33Kt47rlXc3w+cuRkl7+rVKmCXbt25XqO8ePHuwSWnenatSu6du2aZ5vF2vl5IdYFfvnll/M9VsTTlRHAI7lNmjQJvXv3dnw+ePDgHEuAcqNs2bJ5luAQ5ZKd3OpjNW7cGPv3789xrPNxom65G1wVLlwU06e7zgbt3PkDACAmpozL5xUqVPBp+RAid6Qs+c1emslXiA44DZo8Q3xOSpcYMxqNSEpKUp3cKJD+6J30dIKYAunKY7PZHMvbKZBOyIUUn4F0gQ1YmGCTAukNf7AwWSNm+qotI/3pp5/G008/ne9x7mIiUVFR+Prrr3N8fuzYMZw9e9YlQ3rgwIEYOHBgrudv2bIlWrZs6XnDs1G3bl1s2bIlz2PKly+f50SIGPR3lnFcXJxjJf/Jk0B6eu6//fNPIdca+dnr+rt7XtmPcxdDEXnjjTfwxhtvOP4Wkzrr1q3rcpzBYMDo0aMxevRot+ci+CLnzoYE12Q83KLa0+wyuVCbc7R48WJUqFABTZs2leX8anN+MzNdt0q3Wq1YvXoBwsIiUaXKE7K3j8iJFOdXrvdXPJ9op4i8EZ+T0nZBbfZchALp0gfFatUFnnAux6NkLWTSBXXDgs9ASINqpBNyw4KOqTWQLhdiwDr7qneWEWXM+qqDzMzMHG385ptvcO/evQJNRhB8QBnpKsM5g1HJXYHV4hytWrUKx44dwy+//IJ58+bJ9kzVFkifOfMNpKZmoHbtRjCZspCQsB7Hju3DsGEzYTTyuIEv/7CQXUaBS2mwYhfUYs+zQ/oofVCsVl3gCV+tPCwopAvqhgWfgZAGKz6Dp5De8AcrGemCIDAfZGUFccJBybiQVHLLSGeRAwcO4K233kL37t1RpEgR/P333/jqq69Qs2bNfPcWIfiHAukqgxUnSi3OUe/evREeHo4BAwZg2LBhsl2HlRIOnpKffJ96qhWWLPkEe/b8DJMpE2XKVMK77y5Ajx7D/dlMwgkpJRwokM4GZM/lw2KxwGq1AlDXfUmFMtL5Q2pde7kgXVA3lJHOH6z4DJ5CesMfrGSkixtREvkjPieeMtJ5CaSXL18ejz32GObPn4979+4hOjoaffr0wQcffOAoC0yoFwqkqwxWnCgxIMy7c+Sv2W5W5OYp+Tm/zz77Ilq1etGfTSLyQelBsdVqhcVicZxXEASusiOUgBW7oMbBrvO9qOm+pEIZ6fzhbBdo5SEhFyxMvhPSYCFbWAqkN/zBgo7xUvaDFai0i3yUL18eP/74o9LNIBSCnzeK8AiqqcsnrATMPIXkyx9KL9N2rusrCALMZrPPzq1WWLELanzfswfSWXfW5cKbzUYBdekCb5BdIPwBCxuUE9JgxTZ4irMNCdQ+mDdYyUgH2M9WZgUq7UIQ8kCBdJXBSokQGmBJg2fnl+ADpTPSs5+LNhzNH/EZkT33Pc73YrPZHKslAg0q7cIfLGQEOl+fdEGdKO0zENJhIcgpBVFvArkP5g2pk+9yQIF0afCckU4yJliGnzeK8AhWArLkVEuDFbl5CsmXP5TOSM9+LtKd/GHFLqjxfSd9tEOlXfiD7ALhD5T2GQjpsGIbPMW5naQ7fMDCRC4vZT9YgeeMdJIxwTIUSFcZrDhR5FR7jiAIzJTk8RRajskf3mSXmUwmn2UDUOBSOmTP5YP00Q5lpPMH2QXCH1BGOn+wYhs8xXmShnSHD1hY9UDZytLgMSOdSrsQPMDPG0V4BGulAKh8Q/6YzWZHJ8eL8+vcTpPJpGBLCE/xJrsMcK1tXhCyn4cGTfnDyqBYjUESCqTboYx0/mAhkAGQLqgdykjnDxayhaWg0Wiovj5nsKBjzhnplMyVP2IwmqdAOq06IHiAnzeK8AgKvPCH8zNSWm6eQssx+UNKXUM55EuBS+mQPZcP0kc7tNkof5BdIOTGYrE4gi+Ukc4PrEyySYF0hy9Y0DHnEiUUaM0f8RnxWNqFMtIJlqFAusqgARZ/OD8jXpzfoKAgx/+TjPlAShaJXq93ODEUSFcO2jxaPkgf7VBpF/4gP4+QG+cVZJSRzg+s2AYpkO7wBUsZ6QAFWj2Bx4x0CqQTPMDPG8U5Vqt/rsOKE0WOkec4z+7zMlus0WhIxpwhJYtEDvlmPw+VfcofVvZOUOO7ToF0O1TahT/IzyPkRmqCB+mC8thsNkepRaVtgxRId/hC6io2OaBAujR43GyUSrsQPECBdBl5/nngiSeAl14CdDr/XJO1GunkGOWP+IyysrKwdu1ahVvjOSRjvlA685QCl9JhJWAm9idqkhnpox2l7QIhHVbsAumCehHtgl6vh86DAQzpgvI471ektG2QAukOX7BQ2gWgQCsATJ482aPgOOubjWo0GgwfPtzlM8pIJ3iAzTdKJZw6BRw+bP+vJAqQvu6zAZaXbVi6dCk0Gg3q1KkDALh16xaKFy+O+Ph4bN682evmzJw5Ez/88EOOz/ft24fJkyfjwYMHXp9bbnbu3ImuXbuiRIkSCAoKQvHixdGpUyesX78eAL/OIzm/fKF05iltNiodCpjJBwXS7ShtFwjpsLC03vn6pAvqg+wCf/C43xJAusMbrPQ/agy0ijEU8Z/RaESpUqXQvn17zJ8/HykpKV6dV+6M9E2bNmHy5Mk+PafYVjXJl1AfeqUbQOSCTmdPY5ccgQcyr14FABhXrQJ27/bu+tWqAStWePfbh7z99tuYPXs2DAYDRo8ejaVLl6JDhw746aef8Oyzz0o+38yZM/HCCy+gS5cuLp/v27cPU6ZMQb9+/RAVFVWgNsvBpEmTMHXqVMTFxWHIkCEoV64cEhMTsWnTJnTr1g0rVqxApUqVlG6mV5DzyxdKZ55S4FI6FEiXD9JHO0rbBUI6rNkFs9kMq9XqUeYywQdkF/hDfPYajQZ6PT/De9IdvqCMdPmZOnUqYmNjYTabcfPmTezcuRMjR47E7Nmz8eOPP6J27doAgPHjx+O9997L93xyZ6Rv2rQJn332mU+D6WJb1ShfQj3w09MGGmI6u0REN8R4+zZw+7Zv2ySB9u3bY/bs2TCbzRg1ahQGDBiAmJgYfPfdd14F0v1Neno6QkNDC3SOtWvXYurUqXjhhRewcuVKGAwGx3fvvvsutm7dCrPZ7FfnMS0tDWFhYT45Fzm/fOFthln2TPKCXt/d30ROWAuYqUlmpI92pNY7VaMu8AYrgQxnu5SVlVVgn4lgB6X9BUI6zv4CT7WQqU/hC8pIl59nnnkGTz75pOPvsWPHYseOHXj22Wfx3HPP4dSpUwgJCYFer/do0ow2GyUIeeDnjSI8Qty+T9kK6UBQUJDj/7OyshAVFeUw+s58++3HePXVxmjTpgiaNg3BK6/Uw/btrnXCNRoN0tLSsGzZMsdyp379+mHy5Ml49913AQCxsbGO7y5evOj47fLly1GvXj2EhIQgOjoavXr1wpUrV1zO37JlS9SsWROHDh1C8+bNERoainHjxqFv374oWrQozGZzjvtr164dqlSpkuczmDBhAqKjo/H111+7BNFF2rdvj2effdbFebTZbJgxYwbKlCkDo9GI1q1b49y5cy6/2717N7p3746yZcsiODgYjz32GN56660cmzf269cP4eHh+O+//9ChQwdERETgpZdeAmCvpT9ixAgULVoUEREReO6553Dt2jVoNJocM8rXrl3Dq6++ipiYGAQHB6NGjRr4+uuvyfnlDKUDZrTZqHRozwv5oEC6HSrhwB+sTLA56wzpg7rwNiPdarXCYrHI1i7CPazYBalQn8IXrEzkivgyY/lGUgb2/XcXN5LYG5+0atUKEyZMwKVLl7B8+XIAuddI37ZtG5o2bYqoqCiEh4ejSpUqmD17NgB7PGXnzp3QaDRYvXo1xo0bhxIlSiAsLAzPPfdcjviIJ/GGfv364bPPPnOcX/wnYrPZMG/ePNSqVQtGoxHFihXD008/jb/++ivHPf7www+oWbMmgoOD0bRpU+zbt48y0gmmoYx0leHISFe0Fa4O0eHDh7Fs2TKkpqbi5Zdfdjlu1ap5aN78OTz99EuwWEz49ddVeO+97oiM/BnVq3cEAHz77bcYOHAgnnrqKQwePBgAULFiRYSFheHMmTP47rvvMGfOHBQtWhQAUKxYMQDAjBkzMGHCBPTo0QMDBw7EnTt3sGDBAjRv3hyHDx92KQWTmJiIZ555Br169cLLL7+MmJgYhIWF4ZtvvsHWrVtdsuhv3ryJHTt2YNKkSW7v/+zZs/j333/x6quvIiIiwuNn9cEHH0Cr1eKdd95BUlISPvroI7z00ks4ePCg45g1a9YgPT0dQ4cORZEiRfDHH39gwYIFuHr1KtasWeNybovFgvbt26Np06b4+OOPHRlj/fr1w/fff49XXnkFDRs2xK5du9CxY8ccbbt16xYaNmzo2AikWLFi2Lx5MwYMGIDy5cvnaD/BLkov1abApXRYGRircaBL+mhHabtASIcVuyBmw1ksFtIHleHtxDtg18/w8HBZ2kW4h5VMYalQn8IXUm2DXPg6Y3n1n5cxdv1x2ARAqwFmda2FnvXL+uTcvuKVV17BuHHj8Ouvv2LQoEE5vv/nn3/w7LPPonbt2pg6dSqCg4Nx7tw57Ny5E4BrRvqMGTOg0WgwZswY3L59G3PnzkWbNm1w5MgRR/KOJ/GGIUOG4Pr169i2bRu+/fbbHG0aMGAAli5dimeeeQYDBw6ExWLB7t27ceDAAZes+z179mD9+vUYNmwYIiIiMHfuXIwZMwb169f35SMkCJ9CgXSVwUog/ZlnnnH8f+PGjREcHIyvv/4abdu2dTlu3bozMBofZVv26DEcL7/8BJYtm42hQ+2B3ZdffhmvvfYaKlSokCMQ/8QTT+C7775Dly5dHIFdALh06RImTZqE6dOnY9y4cY7Pu3btirp16+Lzzz93+fzmzZtYtGgRhgwZ4vjMZrOhTJkyWL58uUsg/bvvvoPNZsvRFmdOPaxvX6tWrTyfE+DqPGZmZuLIkSOOjP7ChQvjzTffxIkTJ1CzZk0AwIcffuiSoTp48GBUqlQJ48aNw+XLl1G27KOOPysrC927d8esWbMcn/3999/4/vvvMXLkSMyZMwcAMGzYMPTv3x9Hjx51adv7778Pq9WK48ePo0iRIgCA1157Db1793Z0ouT8so8gCIpnpNNmo9IQBIGZgJkaB7oUSLdDGen8wYpdENuQmppK+qAypNqF7KsTKJDuf1jLFPYU6lP4gpUJG18G0m8kZTiC6ABgE4Bx60+geeViKFlI6TX+jyhTpgwKFSqE//77L9fvt23bBpPJhM2bNzuSCwHg+PHjyMrKcskUv3fvHk6dOuVI9nviiSfQo0cPLF68GCNGjADgWbyhUaNGqFy5MrZt25YjLpKQkIClS5dixIgRmDdvnuPzUaNG5cg0P3XqFE6ePImKFSsCAJ588kk0bdoUP//8Mxo1auTN4yII2aHSLiqDlUD6Z5995nDm5syZg/j4eAwcOBDr1693Oc45iJ6cfB+pqUl4/PFmOHXq7wJdf/369bDZbOjRowfu3r3r+FeiRAnExcUhISHB5fjg4GD079/f5TOtVouXXnoJP/74o8tO2StWrEDjxo0RGxvr9vrJyckAkG82OuDqPPbv39+lLE6zZs0AAOfPn3d85typpaWl4e7du2jcuDEEQcDhXOrqDx061OXvLVu2ALAHz5154403XP4WBAHr1q1Dp06dIAiCy3Ns3749rFZrjvYTbGIymRz/TxnpfGCxWBwDBKUHLGoc6JI+2qGMdP5gLZAOkD6oDal2QavVOnxX0gVlYMkuSIFsCF+wMmHjy81GL9xNcwTRRayCgIt30wt8bl8THh7uEpNwRlxpv3HjRpcJhtw2G+3Tp49LjOKFF15AyZIlsWnTJsdnUuMN2Vm3bh00Gk2uK/izl6Rp06aNI4gO2BMRw8LCcPXq1XyvQxBKQYF0lcFKjfSnnnrKUUbk6aefxi+//ILq1atj+PDhLkG93bt/Rv/+DdGkiRGtW0ejbdtiWLduIVJSkgp0/bNnz0IQBMTFxaFYsWIu/06dOoXb2TZiLV26tEsAW6RPnz7IyMjAhg0bAACnT5/GoUOH8Morr+R5/cjISABw29k54+w8OmeTA/aMdAC4f/++47PLly+jX79+iI6ORnh4OIoVK4YWLVoAAJKSXJ+bXq9HmTJlXD67dOkStFptjomASpUqufx9584dPHjwAF988UWOZ+g86UDOL/s4y4iVGumkN3nj/HyUHhircaBL+mhH6ZUqhHRYyQh0bgPpg7rwJlhGuqAsFEgn/AEr/Y8YiPVFRnps0TBos+3Pq9NoUL4oextop6amuk3S69mzJ5o0aYKBAwciJiYGvXr1wvfff+/Yt8I5kB4XF+fyW41Gg0qVKrnsMycl3pAb//33H0qVKoXo6Oh8j80e/9BqtYiMjPToOgShFFTaRWWwkpEOuDpHWq0W8fHxmDdvHs6ePQuNpgYOH96NUaOeQ926zTFmzOcoUqQk9HoDfvppCbZuXVmga9tsNmg0GmzevBk6nS7H99mXnbrbzK969eqoV68eli9fjj59+mD58uUICgpCjx498rx+1apVAdiXU+WHs/OYW1uBR7PJVqsVbdu2xb179zBmzBhUrVoVYWFhuHbtGvr165fDoQgODvZ6l27xXC+//DL69u2b4/uZM2ciISGBnF8OcC6rQoF0PqBAuryQPtqh0i78wVLAjPRBnXgTLDMajUhOTiZdUAhWApxSIRvCDzabzZEMx0pGui8C6SULhWBW11oYt/4ErIIAnUaDmV1rMlXWBQCuXr2KpKSkHIlvIiEhIfj999+RkJCAX375BVu2bMHq1atRv359LFiwIEcWeF5IjTcUlOzxD1+uOCAIuaBAuspgKZAuBqdF50icEbXPpgI7dqxDUJARCxZsRVDQow75p5+W5DiXO+Pv7vOKFStCEATExsaicuXKBbqPPn364O2338aNGzewcuVKdOzY0ZEp7o7KlSujSpUq2LhxI+bNm5dnvUgpzuPx48dx5swZLFu2DH369HF8vm3bNo/PUa5cOdhsNly4cMFlRvrcuXMuxxUrVgwRERGwWq1o06ZNjvOsXLlScvsJZRBlFBQU5LEjJVcgXdycznnXdyIn4vMJDg6W5PzKgRoHuuK9GAwGmM1mVd2bFKi0C39QIJ2QG28y0sVjSReUgSW7IAWyIfzgTZlIuRCTxHwVaO1ZvyyaVy6Gi3fTUb5oKHNBdACOzTzbt2/v9hitVovWrVujdevWmD17NmbOnIn3338ff/31F+rWres47uzZsy6/EwQB586dQ+3atQFIizfkFYvZunUr7t2751FWevb7ENtFEKxCpV1UhhiaYsGNcnaOzGYzfv31VwQFBaFatWoAAK1WB41GA5vN6vjN9esXsWvXDznOFRYWhgcPHuT6OYAc33Xt2hU6nQ5TpkzJYYQFQUBiYqLH99G7d29oNBq8+eabOH/+fJ6bjDozZcoUJCYmOnapzs6vv/6Kn3/+WZLzKM7YOt+TIAgum3jkh9gBf/755y6fL1iwIMe1unXrhnXr1uHEiRM5ziO2gZxf9pFavgGQb7NRsYYf6U3esDQoVuNAV7wXcVJUTfcmBcpI5w9WatQCpA9qxduMdIB0QSlYsgtSIL3hB2/KRMqFLzcbFSlZKASNKhZhMoi+Y8cOTJs2DbGxsXjppZdyPebevXs5PqtTpw4AwGw2uwS8v/nmG5fys2vXrsWNGzfwzDPPAJAWb3AXi+nWrRsEQcCUKVNy/Ca/ADkF0gkeoIx0VnkYbJZK5j//ACYTQipXBh4aNn9d25nNmzcjPd2+ScfKlSvxzjvv4OzZs3jvvfcc9cObNu2IlStnY8SIp9G+/Yu4d+821q79DI89Vglnzx5zOV+9evXw22+/Yfbs2ShVqhRiY2PRoEED1KtXDwDw/vvvo1evXjAYDOjUqRMqVqyI6dOnY+zYsbh48SK6dOmCiIgIXLhwARs2bMDgwYPxzjvveHQvxYoVw9NPP401a9YgKioKHTt29Oh3PXv2xPHjxzFjxgwcPnwYvXv3Rrly5ZCYmIgtW7Zg+/btWLlypSTnsWrVqqhYsSLeeecdXLt2DZGRkVi3bp1LDfX8qFevHrp164a5c+ciMTERDRs2xK5du3DmzBkArjPLH3zwARISEtCgQQMMGjQI1atXx7179/D333/jxx9/BEDOLw+wMCgWz1OoUCHcvXuX9CYfKJAuL+K9REVF4fbt26q6NylQRjp/kG0g5IaFyXdCGizZBSmQ3vCDc5lIg8GgYEseocZA6+bNm/Hvv//CYrHg1q1b2LFjB7Zt24Zy5crhxx9/dPuOT506Fb///js6duyIcuXK4fbt2/j8889RvHhxPP744y6lXqOjo9G0aVP0798ft27dwty5c1GpUiUMGjQIgLR4gxiLGTFiBNq3bw+dTodevXohPj4er7zyCubPn4+zZ8/i6aefhs1mw+7duxEfH4/hw4e7fQZKr8QlCE+gQDqLWK3AihVe/TSzRAng1i0Y16wBHi7P8boNbup1e8LEiRMd/7906VLUqFEDCxcuxJAhQxyf16/fChMmfIVlyz7A7NkjUapULIYP/xA3blzMEUifPXs2Bg8ejPHjxyMjIwN9+/ZFgwYNUL9+fUybNg2LFi3Cli1bHCVLwsLC8N5776Fy5cqYM2eOYzb0scceQ7t27fDcc89Jup8+ffrg559/Ro8ePSQNLKZPn45WrVph/vz5WLhwIe7du4fChQujYcOG2LhxI5577jn8+eefHp/PYDDgp59+wogRIzBr1iwYjUY8//zzGD58uGPW2RO++eYblChRAt999x02bNiANm3aYPXq1ahSpYpLBx0TE4M//vgDU6dOxfr16/H555+jSJEiqFGjBlq1aoXNmzeT88sBLCzTdg5c+vK8aoWlQbHYhoyMDAiCoAoHVyydE+j6SBnp/MGSbaByHuqENhvlD5bsghRIb/jBeeJdaT9Qjox0VhBjKEFBQYiOjkatWrUwd+5c9O/f3+1GowDw3HPP4eLFi/j6669x9+5dFC1aFM2bN0f37t0RHh7uIrNx48bh2LFjmDVrFlJSUtC6dWt8/vnnCA21b7AqJd7QtWtXvPHGG1i1ahWWL18OQRDQq1cvAMCSJUtQu3ZtfPXVV3j33XdRqFAhPPnkk2jcuHGez8A5I10t4w5CfVAgnUUKEMD2mSPlZRv69euHfv36AQBat26NHTt24JtvvnEY1Ow899yreO65V3N8PnLkZJe/q1Spgl27duV6jvHjx2P8+PG5fte1a1d07do1zzbv3Lkzz+8Be2cGwOOyLs60atUKrVq1cvu9GNCZPHkyXnjhBZfvypcvn2O2vVq1arnWKMt+3NKlS7F06dJcrxkaGopPP/0Un376qeOzI0eOAADKlCnjcmzx4sVzHAvYZ74pkM4HLGWkB3opDU9haVDs3AaTyaT4kl5fQBM7dqRmnoq6YLFYYLFYoNeTG+lvWLQNgfr+qBUWfAZCGrTZKCE3LJUP8uVmo6zgHEPxhMmTJ2Py5MmOv3OLN5hMJhw7Zk9OdA5G6/V6zJw5EzNnznR7fk/jDTqdDvPnz8f8+fNzHKvT6fDOO+/kWQUgt1UFGo3GsfLdZrPl2IyUIFiAaqSrDDEoy4IjpSbnaPHixahQoQKaNm3q83MrMSjObaPHuXPnQqvVonnz5h6dQ03yVTssZJdR4FIa4vMRN21WEmfbpBa5kT7a8ba0i/NvCf9CgXRCbljwGQhpsBTklALpDT+wNFlDNbQ9Q3w+Wq2Wq6xu5zI0JGOCVSiVSEXYbDbHjtosBV9yC9rywqpVq3Ds2DH88ssvmDdvniydkBKD4o8++giHDh1CfHw89Ho9Nm/ejM2bN2Pw4MF47LHHPDoHOb/8wEJ2WfbNRnm2C/6ApUlRcUUOYNeHQoUKKdga30CBdDtSgy/Ox2VmZjo2mSL8B0vBDPID1AkLPgMhDZYm2KRAesMPLE3WqDEjXQ7E58NTEB2wt1ej0UAQBJIxwSwUSFcRztlhLDhSanCOevfujfDwcAwYMADDhg2T5RpKOL+NGzfGtm3bMG3aNKSmpqJs2bKYPHky3n//fY/PoQb5BgosZJc5bzbqy/OqFZYGxRqNBkajEZmZmaqRGwXS7Vk+UgNmer0eer0eFoslIJ8ZC7BkG8gPUCcs+AyENFiyC1IgveEHbzYhlgsKpHuGc0Y6b1AgnWAdCqSrCGcnhAVHSg3OkT+WEynh/LZt2xZt27Yt0DnUIN9AwRvnl0q7KAtrg2IKpKsPs9ns6OOk2obU1NSAfGYswJJtID9AnbDgMxDSYMkuSIH0hh9YWg1FpV08QwxCi8+rZcuW3DwzrVYLm83GTXuJwIO/6SnCLWIpAK1Wy8QGYOQceQY5v4TcsLBMmzYblQZrdkFt7zsF0l1XsVHAjA8EQWBqeT3pgjphwWcgpMFSkFMKpDf8wFLfQxnpniEGoXkr7QI8Cv6TjAlWoUC6gvh6hs15czoWDCY5R57BWsDMU5SWL81Qew4Ly7QpcCkNljYbBZR/330N6SMF0nnEYrE4BpUs+AykC+qEBZ+BkAZLQU4pkN7wA0uTNWKcg8aCeZM9I50nSMaPoGfAJvy9VSrAYDAAANLT0316XtYCsuQceQZrcvMUpTeTFd8f8X0i3MNCdpnYBrFGOm02mjcsbTYKqMueO2f1BnIgXbxng8EgaZClJl3gDSrhR/iDgvgMzhN0hP/gfSxBNoR9WJisEcd8ZrMZAGUr5wdlpKsDinmwifL1PwIQnU6HqKgo3L59GwAQGhrqEwOXlJQEwN7BseCQiOVl0tLScrQnP5toswEM3IJfcC7Jw4LcPEXs4DIyMvwqX0EQkJ6ejtu3byMqKgo6nc67EwUQLGSXUeBSGqwNitU02HXO6g1kffQ2u0xNusAbzs+chcxT0gV1woLPQEiDNZ/BU0hv+IGFjHQxhnLr1i0AcLvxeV7j0ECKMTg/G17fsczMTAQFBbl8FihxJDljHikpKZgwYQI2bNiA27dvo27dupg3bx7q16/vuPakSZOwePFiPHjwAE2aNMHChQsRFxfnszbwDgXSFaJEiRIA4Aim+4Lz588DsHcyFy5c8Nl5vSUtLQ0AcPfu3RztuX0bMJnc/zYoCAiU+GhqaioAIDExkQm5eUpiYiIAe/uVkG9UVJTjPSLyhoWM9OyBdKvVCovFwsR+DizC2qBYTYNd53sI5EC6t9llatIF3hCfeVBQEBNLtUkX1AkLPgMhDRaCnN5AesMPLGSkA/YYysWLF3H79m2EhYXlOo7IaxwaaDGGxMRER0yGJ27fvo2srCxoNBqEhoZm+y6w4khyxDwGDhyIEydO4Ntvv0WpUqWwfPlytGnTBidPnkTp0qXx0UcfYf78+Vi2bBliY2MxYcIEtG/fHidPnuSun5ELimAohEajQcmSJVG8eHHH8qSCcvHiRQBAZGQkYmNjfXLOglCqVCkA9sz07O0ZNQo4edL9b6tXB9avl7N17GC1WgEAFSpUYEJuniJOAFitVr/L12AwUCa6BJTOLrNYLA49FwOX4rnDw8MLfH41QoF0+XC+B7HUUGZmJgRB4HL5q7eIgRcKpPMDa8Ey0gV1orTPQEiHlSCnVJz1JtD6YN7w1mfwNRqNBjqdDi+++CJq166NhISEHMfkNQ4NpBjD6tWrMWnSJLRu3RqfffaZ0s2RxPTp07F371783//9Hzp16uTyXSDFkaTEPFJSUpCcnOz4Ozg4ONf3NSMjA+vWrcPGjRvRvHlzAMDkyZPx008/YeHChZg2bRrmzp2L8ePHo3PnzgCAb775BjExMfjhhx/Qq1cvH9wZ/1AgXWF0Op3PAoLiUvWQkBAmBlkREREA7HXMsrfn5k3g0iX3v42OBhi4Bb8gOr+FChViQm6e4hyAIvmyjTfOry8Hxc41UymQ7hkUSJcP56xeMcvFZrPBYrEEVP1BKu3CH2QXCH+gtM9ASIc12+ApYnsDsQ/mDZYmco1GI9LT03HhwoVc25PXODSQxqAPHjzApUuXkJaWxoTcpJCSkoJLly4hOTmZ4gweUr16dZe/J02ahMmTJ+c4Tkxwy/5cQ0JCsGfPHly4cAE3b95EmzZtHN8VKlQIDRo0wP79+ymQ/hAKpKsI1pwocqo9gzW5eQrJlx+UXqbtfI6QkBAEBQXBZDKR7uSB+GxCQkIUbokdNb3vzjbX+Z3IyMgIqEE8lXbhD9ayTkkX1InSPgMhHd7HEoD9HgKpD+YNlvof2tzYM1ia/JAK9SnSEcuyiLh7VyMiItCoUSNMmzYN1apVQ0xMDL777jvs378flSpVws2bNwEAMTExLr+LiYlxfEcAyhdYJHyGuGklK8aSDGD+CILAXMDMU5ydGHFXcIJNCrJM2xfyFa+v1+uh0+kc5xZtFpETsufy4RxwcH4n1HBvUqCMdP5gLVhGuqBOqLQLf7BmGzwlkPtg3mApKEv2xjN4tQsAydgbIiIiEBkZ6fiXVx/+7bffQhAElC5dGsHBwZg/fz569+7NxP47vEBPSkWwFpAlA5g/JqedMnjr5JzbSxkBbFOQ7DLn33tLdkeObEP+sOb8qklmzs9Wo9E4HE013JsUKCOdP8guEP6AMtL5g6UgpxQCuQ/mDRYz0sXa+kTusOYzSIH6FHmpWLEidu3ahdTUVFy5cgV//PEHzGYzKlSo4NjY9NatWy6/uXXrls83PeUZCqSrCNaMJRnA/HF+NqzIzVOyL8ck2KUg2WUABdKVgOy5fJA+2qHNRvmD7ALhD7zxGSgYqiwsBTmlQnaED1jZbBRw7QOdk9IIV8guEPkRFhaGkiVL4v79+9i6dSs6d+6M2NhYlChRAtu3b3ccl5ycjIMHD6JRo0YKtpYtqEa6imBtgCVmxpMBdI/4bDQaDXd1AQ0GAzQajUt5GoJNvMlUyi5fcXNZX1yfbEP+sGbP1eTQ5hZIT0pKUsW9SYFKu/AH2QXCH1BGOn+wZhukEKh9MG+wtOohezIXj4Fif8C7XQCoT5GLrVu3QhAEVKlSBefOncO7776LqlWron///tBoNBg5ciSmT5+OuLg4xMbGYsKECShVqhS6dOmidNOZgQLpKoJq6vJH9hIDPKHRaGA0GpGRkUEyZhxvMhJ8Kd/s1yfbkD9Uqks+KCPdDpV24Q/WBsWkC+rDZrM5MjypRjo/sGYbpEC6wwcsZTf7MtlHzbA0+SEVsgvykpSUhLFjx+Lq1auIjo5Gt27dMGPGDEdi5+jRo5GWlobBgwfjwYMHaNq0KbZs2cKlLsmFKku7LF++HEOGDMGTTz6J4OBgaDQaLF261O3xycnJePvtt1GuXDkEBwejfPnyePfdd5Gamuq/RvsACrzwB2uTH1IhGfOB0pmn7gKXtNmoe1izDWp617P3lWq6NykobRcI6bA2KCZdUB/OZRIokM4HNpsNZrMZADu2QQqkO3zAUv8jJvsApDd5QRNshDt69OiB//77D1lZWbhx4wY+/fRTlwkpjUaDqVOn4ubNm8jMzMRvv/2GypUrK9hi9lBlRvr48eNx6dIlFC1aFCVLlsSlS5fcHpuWloYWLVrgyJEjaNeuHXr37o3Dhw/j448/xq5du/D7779zY3xYM5ZkAPOHNZlJhWTMB0rXQqYMYOmwZhvUJDPSRzuUkc4fZBcIuXHeE4VKu/CBtzJjBdIdPmApIx0ArYr2ANZ8BimQXSBYR5UZ6V9++SUuXryIO3fu4LXXXsvz2I8++ghHjhzBmDFjsHXrVnzwwQfYunUrxowZgz///BNz5szxU6sLDmvGkgxg/rAmM6mQjPlA6YAZBS6lw5ptUJPMSB/tKD3BRkiHxUAGAJjNZlitVoVbQ/gC5/dayt49ZBeUw/mZs2IbpEC6wwcsZaQDpDeewJrPIAWSL8E6qgykt2nTBuXKlcv3OEEQ8OWXXyI8PBwTJkxw+W7ChAkIDw/Hl19+KVczfQ6rpQBMJhMNsNzAWrBMKtTJ8YHSJRyyX5/0Jn9Ysw1qkhkF0u0obRcI6bBqFwDXrFiCX5ztgpS9e8guKIf4zLVaLfR6/habk+7wAWtBWdKb/GHNZ5ACyZdgHVUG0j3l7NmzuH79Opo0aYKwsDCX78LCwtCkSROcP38eV65cUaiF0mC1RjpAAyx38NzBAdTJ8QIrGeni9UUbRXrjHtZsg5pkRoF0O0rbBUI6rNkF53aQPqiDgtoFi8UCi8Xi83YR7nG2C1ImP1hB1DWyIWzj7So2uSC9yR/WVhFIgXxNgnX4m7b2IWfPngUAxMXF5fp9XFwctm7dirNnz+Kxxx5ze56srCyXQHFKSgoAICTEDK3WjKAg4OEeMLKSnp4OwL4U0+yPC+aDTqdz/H9KSorLEtGgICCveL+/npnSiBvaBgcHMyEzqYhOTGpqqkv7Sb45EZ+PEnIW7ZNOp5N0fXfyBfKWcXb5pqWlPfw8CGazGUFBQY7PSW9yR3Qc9Xo9E7ZBzHLLyMiQpAvi9wzcggOW9FFJuyCuYpPqM6hJF3hD9PNE3WUBnU4Hq9WKlJQUREREOD4nXSgYStkG0S81Go2Sru3s86emprokKJEuyIu3MmMF8gk9R0mfgTW/1FdjFDUj+nmsyEwK5Gt6Dk1eK0NAB9KTkpIAwGWHWmciIyNdjnPHrFmzMGXKlByff/zx7yha9CQAYNOmgrTUM8TM+dOnT2OTPy7oAVqtFjabDZs2bUJ0dLTj87Fj8/8tI7cgKwcOHABgdx5ZkZkUxIDUgQMHXCZKSL7u2bZtm9+vKU7uHTx4ENevX/f4d+Lg7MCBAzmWC+cnY2f5Hj58GABw7949bNq0Cbdv3wYAHDt2zEXvSW/sWK1Wh9O4e/duR1+kJP/88w8A4ObNmzlsFW9yE+/lxo0b2LRpE+7fvw8A+PvvvxXTRyXswpkzZwAAly5dktT/nDxp92uuX7/OvS7wxr///gvA7u+x4jMYDAZYrVZs2bIFJUqUcHxOuuAb/G0bxCQj0Xf3FOcSjj/99JNLv0W6IC/nz58HYC9ZyopdkILYBx86dAglS5Z0fE564x4lfIbExEQAdp/eZDL5/frZEQP7e/fuzRFIlDJGUTN3794FABw9ehSCICjcGmkcP34cAHDr1i3yNfNBlDPhXwI6kO4rxo4di7ffftvx97Vr11C9enW8805zZGWVR+3awO7d8rdD3Bi1QYMG6NChg/wX9ICQkBCkpaWhcePGqFChguPzZs2AY8fc/85fz0xpRMNXunRpZmQmhUWLFuH48eOoVq2aS/tJvjkxm83Ytm0b2rZtK2kDL19gs9kAAO3atUNsbKzHv1u4cCFOnDiBqlWr5tDPvGScXb6iM1ShQgV06NABO3bswJYtW/DYY4+R3uSCOEEFAJ06dcpRekwJRJ01Go2SdAFgT247d+4EAIder1u3Dnv27HHop4g/7ktJu7B27VoAQK1atST1P2LpgNDQUO51gTd+/PFHAEDNmjWZ8RnCwsKQmZmJhg0bonr16o7PSRcKhlK2Ye/evQDsSUZSdUyv18NisaBZs2YoXbq043PSBXk5ePAgACAqKooZuyCFtWvXYu/evahYsSL5hPmgpM8gXq9ly5aoX7++X6+dG3PmzMHp06dRo0aNAo1R1MyoUaMAAM2bN0fjxo0Vbo00xJKSwcHB5Gvmw7Vr15RuQkAS0IF0MRPdXcZ5cnKyy3HuCA4OdqkXJv4uI8OArCwDTCbAH32dWL4hPDzc752rO4xGI9LS0mC1Wl3aZDIBD1cb5Yq/npnSiFmnISEhzMhMCmInZzabSb4eYjAY/C5rb22DKF+LxZLjd3nJOLt8xUyR0NBQGAwGhIaGAiC9cYdzZl94eDgTm4eFh4cDsOuSFF0Qv2dJbmImVVhYGDP6qIRdEPsf8Tl4ipp0gTe8lZmciHVMyc+TB3/bBrH/8cYvNRqNSE1Nhc1mI13wI6KPZTQambELUmChD+YNJXwGMQOclf7HV2MUNSPKjKXYkKeQr+k5LIwTA5GA3mxUrI0uLmPMTn411FmDtU2oANooIj9YlJkUSL7sY7FYHANj2myUD5zrULLiHKnpXafNRu3QZqP8waLPQPqgLry1CwDpglKwaBekQHrDB6xtXEl6kz+syUwKJF+CdQI+kF6qVCns3bvXZSk9YF9av3fvXsTGxua50ShLsOhIkRHMGxZlJgWSL/s4b4QsVc98HUgP9MClp4jPJSSvnXT8jJpkRvpox9sBVqA+LxYoSJBTLkgf1EVBAi+kC8rAc7AMIL3hBVHPWOl/SG/yh+c4A8mXYJ2ADqRrNBoMHDgQqampmDZtmst306ZNQ2pqKgYNGqRQ66Qj7sxMwRd+4LmDA0i+POAsG6Uz0rMHLjPyWpcXwIjPhSW7oKZ3nQLpdigjnT9Y9BlIH9QFZaTzB4sTbFIgveED1vSM9CZ/WPQZPIXkS7AOG2vGfcyXX36JPXv2AHi0yd2XX37p2GCsadOmGDhwIABg9OjR2LhxIz788EMcPnwYTzzxBP7++2/8+uuvqF+/PkaOHKnELXgFi8aSjGDesCgzKZB82UfMINHpdJLLhFBGujKwaBfUJDPSRzveZpcF6vNiAbINhNxQRjp/sGgXpEB6wz4WiwU2mw0AO3pGepM3FovFsX8CK5MfUiD5EqyjykD6nj17sGzZMpfP9u7d69iJHoAjkB4WFoZdu3Zh8uTJWLduHRISElCyZEmMGjUKkyZNYiq7Oz9YdKTICOYNiyUcpEDyZR8WssuyB+xIb/KGdVsuCAI0Go3CLfIeCqTbodIu/MG6bSD4hwWfgZAGi3ZBCqQ37FOQ1a1yQXqTNwUp7ckCYpvFCQFW9owiCBFVauTSpUuxdOlSj48vVKgQ5syZgzlz5sjXKD/AoiNFnVzesCgzKZB82YeF7DIKXEqDRbvg3BaTycTMQMobSB/tFLS0Cw1u/A/LtiHQ3h+1UpA6yKQLykA10gm5cQ7KsuL/kd7kjVoC6YD9XsjXJFgjoGukqwmbzeYwmCxlN1MnlzcsDoqlQPJlHxYGxdn1XLRRpDe5w6JdcG4L73KjQLqdgmakO5+D8A8s24ZAe3/USkGCsqKfQbrgX1irXS0VsiHsI8pGr9dDp9Mp3Bo7pDd5Iz4Xb0p7soCzPSMZEyxCgXSVwOqsI3VyecPioFgKJF/2YWGZNgUupcFiySeDweAo58L7JrHZN3MNVH301jbQ4EY5WMw8DdT3R62w4DMQ0qCxBCE3BUnKkQvSm7zh3S7odDoYDAYAJGOCTSiQrhKcDQxLBpMyT/OG906O5Ms+LJR2yd4G8b+8B2TlInuglwU0Go1qBi00sWPH24ExDW6Ug8XM00B9f9QKCz4DIQ3exxKkN+xDk7j8waK/IBWSMcEyFEhXCaKB0Wq1TC3fIQOYN+T8EnLDQnZZ9jaQ3uQNq3ZBLXKjQLodCpjxB4u2gXRBXbDgMxDSYNEuSIH0hn1YDMqKekMl5nKHd7sAkG0g2IYC6SpBzGAMCQlxLL9nATKAecNi5qkUSL7sw0KwjAKX0mDV+VWL3Egf7VDAjD9YtA2kC+qCBZ+BkAaL2cJSIL1hHxZ1jPQmb1iUmVRIxgTLUCBdJbA4uALIAOYHq3LzFJIv+7AQLKPNRqXBql1Qy/tOgXT7BuVmsxkABcx4wWazwWQyAWDLNpAuqAsWfAZCGixmC0uB9IZ9WNQx0pu8YXUsIQWSMcEyFEhXCawaSzKAecOq3DyF5Ms+LGSXUeBSGixuNgqoQ26CIJA+wnUpNAXM+IA2lSf8QUE2FSRdUAYaSxByw2J2M+lN3vBuFwCSMcE2FEhXCawaSzKAecOq3DyF5Ms+LAyK3W02ajKZYLPZCnRuNcKqXVDD+242myEIAgAKpItQwIwPWN1UnnRBXbAw+U5Ig1WfwVNIb9inIGMJuSC9yRsWVxFIhWRMsAwF0lWCc410lhANoNg+whVyfgm58cUy7YJu5ONus1Hn74hHsLp3ghre99yCkWq4L6mI77RGo4HBYJD8+0B8ZkpDm8oT/oBKu/AHi9nCUiC9YR8Wg7KkN3nDe4wBIBkTbEOBdJXAqrEkA5g3rMrNU0i+7KN0dllepTQKem61wqpdUMP77tz27BM7mZmZjmx1teM8KPZmg3I16AJvONty2lSekAulfQZCOiwGOaUQiH0wb7A4WUP2Jm9YlJlUSMYEy1AgXSVQ4IVPWJWbp5B82Ufp7DKLxeIo3yKeT6/XQ6fTFfjcaoVVu6CG9z23ALJ4X4IgODbgVDsFHWCpQRd4g9VgGemCulDaZyCkw6rP4Cliu202GywWi8KtIXKDxf6H7E3e8G4XAJIxwTYUSFcJVAqAT3jv5Ei+7KN0dpm7ur5iGSrSnZywahfU8L7n9mwDcYVEQQfFatAF3iC7QPgDX/gMBS0HR0iDVdvgKYHYB/MGi9nN1PfkDe92ASAZE2xDgXSVIBoYVmukkwHMic1mg8lkAsBvJ+c8aKLlmGziq+wyb+XrblNDsg3uIXsuH7kNLJz1kud7k0JBNw5Tgy7wBquDYtIFdUEZ6fzBqm3wlEDsg3mDMtL5g0WZSYVkTLAMBdJVAqtOFBlA9zgHGFmTm6c4t5sykNjEF9llBSl5Ib77BoMBWu2jLoc2InYPrTCSj9z6So1G4xho8HxvUiioz6AGXeAN8vMIf1CQSTbSBWVgMVtYClqtFkFBQQBId1iloJPvcuDst1EyV05Y9RmkQH0KwTIUSFcJrBpLMoDucVfygidoOSb7+GJQDHgvX3e2iWyDe8ieywfpox3KSOcPsguEP1C6HBwhHco8JeSGxcmaQNzfRgosykwqZBcIlqFAukqgDEb+EJ+JVquFXq9XuDXeodfrHVnGJGM2KcgAS8wQcj6Pt9cP9MClFChgJh+kj3Zos1H+ILtA+AMq7cIfrNoGKZDusA2LkzWUzJU3ZBcIQl4okK4SqKYufzh3cBqNRuHWeIdGoyEZM05BAma+kK87R442G3UPq86vGt51CqTboc1G+YPV7DLSBXVBGen8warPIAXSHbZhsf+h2vp5Q3aBIOSFAukqgVVjSQbQPaxOfkiFal2zTUEDZgWtHe3O+Sbb4B5WbYMaZEaBdDtU2oU/yM8j/AFlpPMHq7ZBCqQ7bMNiRnog7m8jBRZlJhWyCwTLUCBdJbDqRJEBdA+rMpMKyZhtlC7h4M6RI71xD6u2QQ0yo0C6HdpslD9YHRSTLqgLykjnC6vVCovFAoA92yAF0h22YTEjHSC9yQtWxxJSIPkSLEOBdJVANdL5Qw0dHEAyZh2lSzjkF7iklQw5IXsuHxRIt0MZ6fzBqs8gtsdsNsNqtSrcGqIgWCwW2Gw2AN7ZBsoO9T+iLQfYsw1SoD6FbWgilz9YnfyQAsmXYBkKpKsE1ksBWCwWR8YEYYfVQbFUqJNjG1Yy0gM9cCkFVm2DGmRG+mhHabtASId1uwC4BvUI/nB+n6m0Cx84P2vWbIMUSHfYpqCT73JBeuMeVn0GKZB8CZahQLpKYNVY0gDLPazKTCrUybEN6xnppDc5YdU2qEFm7iad1XBvUlDaLhDSYd0uAKQPvOPspxckkG4ymRyZ7YS8iO+cTqeDXq9XuDXeQ30K27Ca3Ux64x5WfQYpkHwJlqFAukpg1VjSAMs9rJZvkAp1cmyjdAkHd9cXA5mkN64IgkADFhmhiR07StsFQjqs+nl6vR46nQ4A6QPviPJzlqkUKHnG/7DqL0iF+hS2odIu/MGqzKRA8iVYhgLpKoHVoKxOp4PBYABARjA7rA6KpUKdHNsoXcKBApfScA4+sFqqi2eZkT7aoc1G+YNln4H0QR34yl8ASBf8hRqCZQDZENZhdcKG9MY9LPsMnkLyJViGAukqgdUa6QAZQXeooYMDSL6so3QJB9psVBrOz4M126CGVQQUSLdDGen8wWogA3jUJspC5puC+gt6vR5ardblXIS80FiC8AesTtiQ3riHZZ/BU0i+8mC1WjFhwgTExsYiJCQEFStWxLRp0yAIguMYQRAwceJElCxZEiEhIWjTpg3Onj2rYKvZgwLpKoFlR4qMYO6wLDMpkHzZhjLS+UJ8Hlqtlrl6p2qQGemjHaXtAiEdVgMZAOmDWiioXdBoNKQLfobGEoQ/oM1G+UMNtoHkKw8ffvghFi5ciE8//RSnTp3Chx9+iI8++ggLFixwHPPRRx9h/vz5WLRoEQ4ePIiwsDC0b9+eZOEEW6N0wmtYNpZkBHOHZZlJgeTLNqxnpJPeuOL8vDQajcKtcUUNMiN9tKO0XSCkw7LPQPqgDnwRLDMajUhPTydd8BMs2wUpkA1hG1azm0lv3KMG20DylUZKSgqSk5MdfwcHB+fan+/btw+dO3dGx44dAQDly5fHd999hz/++AOAPRt97ty5GD9+PDp37gwA+OabbxATE4MffvgBvXr18sPdsA9lpKsEVmukA1TCwR1q6OAA6uRYR+nMU9psVBos2wU1vOsUSLfjq9Iu1K/7D7INhNz4YtUD6YJ/YTXAKRXSG7ZhdUUUlRVzD6sykwLZBWlUr14dhQoVcvybNWtWrsc1btwY27dvx5kzZwAAR48exZ49e/DMM88AAC5cuICbN2+iTZs2jt8UKlQIDRo0wP79++W/EU6gjHSVQDXS+YPlQbEUSL7sYrPZYDKZAFBGOi+QLZcX0kc7tNkof7DsM5A+qANfBGVJF/yLGoJlAOkN67A6YUN64x6WfQZPIflK4+TJkyhdurTjb3f9wnvvvYfk5GRUrVoVOp0OVqsVM2bMwEsvvQQAuHnzJgAgJibG5XcxMTGO7wgKpKsGlo0lGcHcYVlmUiD5sosYRAcokM4LLNsFNciM9NEObTbKH2QbCLmhjHT+YNkuSIH0hm1YnbAhvXEPq5MfUiD5SiMiIgKRkZH5Hvf9999jxYoVWLlyJWrUqIEjR45g5MiRKFWqFPr27euHlqoDCqSrBJYdKTKCucOyzKRA8mUX56WOrG42SqUhXOGhTFdWVhYEQWCuhrsnUCDdjtIlnwjpsOwzkD6oA19mpFOpBf/Asl2QAtkQtmE1KEt6kzsWiwVWqxUAezKTgth2i8UCi8UCvZ5Cl77g3XffxXvvveeodV6rVi1cunQJs2bNQt++fVGiRAkAwK1bt1CyZEnH727duoXHH39ciSYzCdVIVwE2m43ZDg6gTs4d5PwScuMsk6CgIK/O4asa6YEeuPQUlu2Cc5t4DZJQIN2OrzYbtVqtsFgsPmsX4R4ebEOgvD9qhTLS+YPl8Z8USG/YxRdlIuWC9CZ3nJ8Hz7ZBDeMOFklPT4dW6xoG1ul0sNlsAIDY2FiUKFEC27dvd3yfnJyMgwcPolGjRn5tK8vQtI4KcDYsVFeXH1geFEuB5MsuzuUbvM0e9lVGenbnm/Qmd1i2C85tyszMZLKN+UGBdDu+Ku0C2J9ZeHi4T9pFuIflgFmgvT9qhWqk8werJTekQnrDLr4oEykXpDe54/w8WJOZFJzbnpmZibCwMAVbox46deqEGTNmoGzZsqhRowYOHz6M2bNn49VXXwUAaDQajBw5EtOnT0dcXBxiY2MxYcIElCpVCl26dFG28QxBgXQVwPqsI3VyucNywEwKJF92YSG7zJ2ei5N+pDeusGwX9Ho9tFotbDYbt3KjQLqdgupZ9sENBdLlh+WAWaC9P2qloBNsAOmCv2HZZ5AC6Q27+KJMpFyQ3uSO+Dz0ej10Op3CrfEenU4Hg8EAs9lMMvYhCxYswIQJEzBs2DDcvn0bpUqVwpAhQzBx4kTHMaNHj0ZaWhoGDx6MBw8eoGnTptiyZQtzNkBJKJCuAkTDotVqmawdRZ1c7pDzS8gNC9llFLiUhvg8WFxdpNFoYDQakZ6ezq3cSB/tFDRgRoMb/8OyzxBo749aYWHynZAGy3ZBCqQ37OIsE4PBoGBLckJ6kzssr2CTitFoJF/Tx0RERGDu3LmYO3eu22M0Gg2mTp2KqVOn+q9hnEE10lWA8+Z0LG7+Rp1c7rAcMJMCyZddfDko9rY2HQUupcH6oJh3uZE+2mFhko2QBsu2gXRBHZBd4A+W7YIUSG/YxdkusBZnIL3JHbXYBYBkTLALe+nLhGRYD8iSAcwdtXRyJF92YWGZdn6bjYoTgYQd54lRFuFdbu6eb6DZMV9NsqWkpATMM1Maln2GQHt/1AplpPOHWjJPSW/YhcqK8QfL/oJUSMbqJT09Hfv27cPevXtx9epV3L17F6GhoShWrBhq1aqFFi1aoFKlSko30y0USFcBrBtLMoC5w7rcPIXkyy4sZJfRZqPSYN0u8C43yki3w8IkG+E5giAwbRtIF9QBCz4DIQ2Wg5xSIL1hF5Yna0S9J71xRS12ASDboEb279+PRYsWYe3atcjMzIQgCLkep9FoUK1aNbz22mvo06cPIiMj/dzSvKFAugpgeXAFkAF0B+ty8xSSL7uwkF3myWajgiAwt1xUKVi3Czy/73kFI3m+L2/whZ4F2jNTEovFApvNBoBN20C6oA584TNQYMu/sO4zeArZEHbxxcS7XJDe5A7Lkx9SIRmrh3/++Qfvvvsutm7dCp1Oh5YtW6JRo0Z48sknERMTg+joaGRkZODevXs4ffo0Dhw4gB07dmDEiBGYMmWKY4NUVvaEZKMVRIEQl6pTaRe+IOeXkBsWssvyC1wCgMlkYtJBVwIq1SUfJpPJ8f+BHkinjHS+cH7GLPoMpAvqgOwCf9BYgpAblrObSW9yRy12ASAZq4k6deqgXLlymDdvHnr16oWiRYu6PbZFixYYPHgwAGDXrl1YvHgxRo0ahZSUFLz//vv+anKeUCBdBbBuLMkA5g7rcvMUki+7sJyR7vx3ZmYmkw66ErBuF3h+3/MKRvJ8X1LxVXZzID0zpXHe7JlFW0m6oA5YmHwnpMG6z+AppDfswnJ2M+lN7qjFLgAkYzXxv//9D3379pWcUd6iRQu0aNECkyZNwtWrV2VqnXQokK4CWDeWziUciEewvqmgp1AHxy4sDIrdZbgZDAZoNBoIgoCMjAwUKlTI6zaqCdbtAs/vu3Obg4KCXL5zvi+1lxpyfg6UecoH4jM2GAzQarUKtyYnpAvqgIXJd0IaLJfdkEIg9cG8QRnp/MF6bEgKJGP1MGDAgAL9Pi4uDnFxcT5qTcFhzxsnJMO6sSQDmDusy81TSL7sonS907xqUms0GtKdXGDdLvAsM+dnm32QLt6XIAgwm81+b5s/8VV2M8+6wBtkFwh/wMLkOyEN1m2Dp4jtt9lssFgsCreGcIYy0vmD5ckPqZCMCVahQLoKoBrpfKI255fkyx5K1zs1m82Onbhz03PSnZywbhd4lllezzZ7qSE1I96fXq+HTqfz+jw86wJvkF0g/AFlpPMH67bBUwKpD+YNloOyZG9yh+XJD6mQjAOHZcuWoVWrVko3w2MokK4CWHeiyADmxGKxODIuWJWbp4jtN5lMjrq7BBv4OrtMDIp7Sn4b5FHZp5yQPZePvJ6t8wCRx3uTgq9KAfCsC7xBdoHwB5SRzh+s2wZPCaQ+mDdYLh9E9iZ31GIXAJJxIHHx4kXs2rVL6WZ4DAXSVQDrxpIMYE6cl9azKjdPcV4J4XxfhPL4MrvMm+W2+dViJtuQE/FZ0Aoj35NXX6nRaApUxognfJWpxLMu8Ab5eYQ/oIx0/lBL5qlWq3XsXUK6wxYs61hBkn3UDOs+gxSoTyFYhQLpDylfvjw0Gk2u/1q2bKl08/KEdWNJBjAnvtrsjQVoOSa7+DK7DJAuX/H6QUFBuW4cRbYhJ2TP5SO/Z8vzvUnBV8u0A+V5sQDZBcIfKF0OjpAOy2U3pEK6wyYs6xjV1s8d1n0GKZBdIFhFr3QDWKJQoUIYOXJkjs/Lly/v97ZIgZca6WI7CdcatXo936+hWGfXarVSJ8cYvtxsVDxfRESE5OvnF7gk2/AI8Vmw6vzy7NB6oo9JSUlc3psUqLQLf7A+KCZdUAdU2oU/WLcNUjAajUhOTibdYQweMtIB+7tgMBgUbA07sDz5IRXqUwhW4TuC52OioqIwefJkpZshGdadKDKAOWFdZlIxGo1IS0sjGTOGL5xfcbmtyWSSLF/KAJYO67aBZ5mRPtrxlY4FyvNiAZZr1AKkC2qBSrvwB+s+gxRId9iE5aBsQZJ91AzLkx9SIbsQOHTp0oX5BGZnKJCuAlh3osgA5oR1mUmFAuls4ssSDnIE0mmz0Zywbht4tucUSLdDGen8QXaB8Ae+zEinPXP8A+u2QQpkR9iE5aBsQZJ91AzZBYJH6tSpgzp16ijdDI+hQLoTWVlZWLp0Ka5fv47IyEjUr18fDRo08Oh3zg5jSkoKACAkxAyt1oygIMBslq3ZSE9PBwAYDAaY5byQl+h0OgB2Ayi2LygIyKsSjdzPTGlSU1MB2DsHFmUmFbGTS0lJgdlsDnj55oYoZ3/KWywTotfrC3RdcbmtKF8g73dYlK+o58HBwbleXwzkpaWlkd48xLnsE4u2QVw2m56ezp0991QfU1NT/aaPStiFtLQ0AO6fg6fwrAu8IcosKCiISbtAfp7vUcI2iP2PVqv1+rqkC/5FHH8WRGasoEQfzBs8jyXkQkz2kTpGUTOsx4akQL5m/vCyP4AgCLnumebvc/gKCqQ7cfPmTfTv39/ls/r16+O7775DxYoV3f5u1qxZmDJlSo7PP/74dxQtehIAsGmTb9vqzH///QcAuHDhAjbJeSEvuXfvHgC7U/3LL79Ao9Fg7Nj8f8fgrfiMU6dOAQCsViuTMpOK1WoFACQkJODGjRsBL9+82LZtm9+udenSJQB2G1EQPRMEAQCwY8cOXLlyBQDylfGmTcDRo0cBACaTKdfr379/HwDw119/oVixYqQ3eDQR+8cff+D69esKtyYnufU3vMjt0KFDAIAHDx7kqo9iEGnv3r0wm81+vS9/2oX9+/cDsAcrCmIXLly4AAA4f/48d7rAG/nprtIkJycDsNv6n3/+GVqtlnTBR/jTNogTNgcOHHD4D1K5du0aAHtfRnZBXqxWqyOAsnv3bkRGRircooIh9sF79uyByWQivckDf9qF06dPAwCuXLnCZP8jBtW2bduGs2fPAvBsjKJmcvPPeOXcuXMAgIsXL1Kf4oa7d+8q3QSPqFmzJiZPnozu3btL/u2VK1cwY8YMlC9fHu+9954MrZMOBdIf0r9/fzRr1gw1a9ZEeHg4zpw5g9mzZ+Pbb79F69atcfz4cbd1t8aOHYu3337b8fe1a9dQvXp1vPNOc2RllUft2sDu3fK1fcmSJQCAJ554Ah06dJDvQl4iBstsNhvatWsHg8GAZs2AY8fc/0buZ6Y0YgZ3dHQ0kzKTSnR0NG7evIknnngCLVu2DHj55obZbMa2bdvQtm1bv22G88UXXwAouG2IiorCnTt3UK9ePTRt2hQA8pSxKF8xAF+sWLFcr7969Wrs378fFStWRIcOHUhv8CiroF27dkzWibtx4wa+/PJLFC5c2CFTXuQmTgKUK1cuV32cPXs2zpw5gxo1avhNH5WwC+LkdqlSpQpkFy5fvowlS5a49GO86AJviIGM8uXLM+kziKs9AKB169YICQkhXSggStgGsf9p3749ypQp49U5Ll++DMAe5CW7IC/ixAcAdOrUCWFhYQq2puB88sknOHv2LGrWrEk+oRuUsAsbN24EAIdcWKNQoUJISkpCgwYNUK9ePQCejVHUzFdffQUAqFu3LpMyk8Lt27fxxRdfICoqivoUN4gT2KwTFxeHnj17YsyYMXjllVfwwgsvoGbNmm4zzBMTE7Ft2zYsX74c27ZtQ3R0NL799ls/t9o9FEh/yKRJk1z+fvzxx/HNN98AAL799lssXrzYJVjuTHBwsEutUTEzJyPDgKwsA0wmQM6+zmQyAQDCwsKY3K3aeQLCarUiNDQUJhPwcKVYrsj9zJRGHKyEhIQwKTOpiLWuLRYLDAZDwMs3LwwGg99kLi6BK6htyC5fAHnKWJRvfnoeGhrqaCfpjX3iQczIioiIYNI2iAN1k8nkkS6I37NwK+L7EBoamuuzVdKO+dMu+Kr/4VkXeCM/3VWa7H4e2XPf4S/bYLPZHHoWHh7u9TVFXcjMzIRer4dGoyFdkAlxNShgl5lez/ewnsYSnuNPn0GMM7Da/4jJaVLHKGrGV+M/FiBfM394sf0//PADdu3ahQkTJmDatGmYPn06wsLC8PjjjyMmJgZRUVHIzMzEvXv3cPr0acfKisKFC2PMmDEYPXo0wsPDFb6LR/Dx1BVkyJAh+Pbbb7F37163gXSlYX1DCdpROyeizELyKvDFEbQRCJv4crNR5/NJvX6gb+7oKWaz2ZHFz6o951lmpI92aLNR/mDdz9Pr9dDpdLBaraQPnCIGywDfbDYqnrOgdoZwj2jL9Xo9N4GUvKA+hU1Y3mwUIL3JDdZ9BimQfNVFixYt8Pvvv+Off/7BkiVLsGPHDuzbtw82m83luCJFiqBz5854/vnn0aNHDyZ9Cf57XZkpWrQoANflc6whbgLCalCWdtTOiZo6OIA6OVbxlfMrVyBdtFmkN3acnwOrtoHnd50C6XaUtguEdHjwGYxGI9LS0kgfOMVZbgUZsDrraGZmJpODX7Xgq2QJVqA+hU1Y1zPSm5zw4DN4CslXndSoUQMff/wxAHuc9fr160hMTERISAiKFSuGUqVKKdzC/KFAej4cPHgQAJisVSvCg7EUd9QmI2iHB5lJgTo5NlE6Iz2/zFfSG1d8FciQE55llt9KIJ7vTQpK2wVCOr5aRSAnFEjnG1HHNBpNgUoBOP82MzMThQoVKnDbiNyhsQThD1jvf0hvcqIm20DyVT9hYWGIi4tDXFyc0k2RhFbpBrDAv//+i/T09Fw/HzNmDADgxRdf9HezPIYHY0lG0BUeZCYFki+bKF3CgTKApeH8vNxtvKI0PMuM9NGO0naBkA4PPgPpA984T7AVpP/RaDSkC36CB7sgBdIbNqHSLvzB+ioCKZB8CVahjHQAq1atwuzZs9G8eXOUK1cOYWFhOHPmDDZt2gSz2YyxY8eiefPmSjfTLWJpF1Y7OICMYHbI+SX8gdIlHDwNXGbktWNMAEG2XF4okG7HV/1PoDwvFuDBZyB94BtfBsuMRiMyMzNJF2SGB7sgBbIhbMJ6UJb0JiesT35IgeRLsAoF0gHEx8fj1KlTOHz4MHbv3o309HQULVoUHTp0wLBhw9CuXTulm5gnPGxcSUbQFR4CZlIg+bKJ0iUcKHApDR4GxTzXtSd9tEMZ6fzBg20gfeAbXwbLSBf8A+slN6RCesMmrAdlSW9ywoPP4CkkX4JVKJAO++6xLVq0ULoZXsODsSQj6AoPMpMCyZdNlM5Iz+/6PAdl5YAHu8Dzu06BdDuUkc4fZBsIufFlUJZ0wT/wYBekQHrDJpSRzh9qsg0kX4JVqEa6CuDBWFLAzBUeZCYFKtHBJr7OSBcH2r66PjlHrtDqInmhQLodykjnDx58BtIHvvF1aReAdEFueLALUiC9YRPKSOcPNdkGki/BKhRI5xybzcZ8BweQEcyOmjo4gOTLIoIgKJ6RToFLafBgF8S2mUwm2Gw2hVsjDdJHOxRI5w+ebAPpA59QaRf+4MEuSIH0hk1Yz0gX20V6Y0cQBOZlJgXRLlgsFlgsFoVbQxCPoEA65zhniFIWIz+Q80vIjcVicQQ6Wa+RTisZ7PCwd4Jz26SuUFAaCqTb8XVpF6vVSoMbmeEhYYKCGXxDGen8QWMJwh+wXouf9MYVi8UCQRAAqMM28DzuINQNBdI5x7nTYNlYUifnCjm/hNw4OxusB9JJb+zwYBec28ab3Egf7fg6Ix1Q/zNTGh6yywLl/VErlJHOH6wHOKVCesMmrE/kkt64wktsyFOc7RvJWJ1s2LABPXr0QO3atVGpUiXH5//++y8++ugjXLt2TcHWuYc2G+Uc0aBotVro9eyKkzo5V3gImEmB5MseLATS8xvkkd64woNd0Ov10Ol0sFqt3MmNAul2fKVn2Qc34eHhBTof4R4ebEOgvD9qhTLS+YMHuyAF0hs2YX0il/TGFefnwKrMpKDT6WAwGGA2m0nGKsNms6F3795Yu3YtAHt1DedV6oULF8b7778Pq9WKsWPHKtVMt1BGOuc4lwLQaDQKt8Y91Mm5Qs4vITeiLHQ6XYEn2eTKSKdNiF3hxS7w+r5TIN2Or7IYxcENoP5npjQ82IZAeX/UCmWk8wcPdkEKpDfs4VwmklU9I71xRXwOQUFB0GrVEeojGauTOXPmYM2aNRgyZAju37+Pd955x+X7mJgYNGvWDL/88otCLcwbdbxdAYxoUFiujw5QLeTskPNLyA0L2WUUuJQGb/acN7mRPtrxZTmAQHlmSsODz0C6wDdy2AWqZysvPNgFKZANYQ8esptJb1xhfQWBN5CM1cnSpUtRv359fP7554iMjMw1KbhSpUq4cOGCAq3LHwqkcw4vThQZQFd4kZunkHzZw5eOlLebyFHgUhq82AVe5Ub6aMeXehYoz0xpeLANpAt8w8LkOyENqpFOyI0vy0TKBemNK6zXtPcGkrE6OXfuHJo1a5bnMUWKFEFiYqKfWiQNr9b7p6enY9++fdi7dy+uXr2Ku3fvIjQ0FMWKFUOtWrXQokULl0LxhHzwMLgCyABmhxe5eQrJlz1YGBR7GrjMyMh4uMM8u+Wp/IFzqS6W4fV9p0C6HcpI5w8efAbSBb6h0i78wYNdkALpDXuI/oK4Pw6LkN64oja7AJCM1UpISAiSkpLyPObSpUuIioryT4MkIimQvn//fixatAhr165FZmbmw8BHTjQaDapVq4bXXnsNffr0QWRkpE8aS+SEAi98orZOjuTLHiwMij3dbNRms8FisQAweN9IFcCLXeDxfRcEgQLpD6GMdL6w2WwwmUwA2LYNpAt8w8LkOyENXnwGTyG9YQ8eyoSQ3riiNrsAkIzVSt26dbF161ZkZmbmqq/37t3Dli1b0Lx5cwValz8elXb5559/0KFDBzRt2hTfffcdmjRpgvHjx2Pjxo04cOAAzpw5g6NHjyIhIQGLFi1C3759kZqaihEjRqBixYqYP3/+wyAJ4Wuopi6fqK2TI/myBwtZp55uNurNudUIL3aBx/ddDEQCFEhnwTYQnuOsuxTMIOSChcl3Qhq8+AyeQnrDHjyUCSG9cUVtdgEgGauVESNG4OrVq+jWrRuuXr3q8t1///2H559/HklJSRgxYoRCLcwbjzLS69Spg3LlymHevHno1asXihYt6vbYFi1aYPDgwQCAXbt2YfHixRg1ahRSUlLw/vvv+6bVhANejCUZQFd4mQDxFJIve7CQXZaffXIesNuPjfCugSqBF7vA4+bRzm2lQDoF0nnC+dmy7OuRLvANCz4DIQ1exoCeQnrDHpSRzh88yEwqJGPfUr58eVy6dCnH58OGDcNnn32GzMxMjBo1CqtWrUJWVhbat2+Pzz//HDExMT5tR+fOnTFmzBh8+OGHKFeuHMLCwgAAxYsXR2JiIgRBwIQJE9CqVSufXtdXeJSR/r///Q+nT5/G8OHD8wyiZ6dFixZYvnw5Tp48icaNG3vdSMI9vDhRZABd4UVunkLyZQ8Wssvy03ONRuP1RqZqhBe7wOP7LrZVo9HAYMi9hJDzfbkrXacGqLQLX3iiuyxAusA3LPgMhDTUvNmomvtgnqCMdP7gQWZSIRn7lj///BM3btxw/Nu2bRsAoHv37gCAt956Cz/99BPWrFmDXbt24fr16+jatassbZk1axa2bt2KZ599FqGhodDpdLDZbHj66aexefNmTJkyRZbr+gKPMtIHDBhQoIvExcUhLi6uQOcgcodqpPMJLwEzTyH5sgcL2WWe6LnRaERWVhbpDvixCzy+787PVqPJfVNb8b4EQYDZbAYQ5K/m+Q1BEBylQihgxgee6C4LkC7wDa1U4Q9efAZPoX1z2IOH7GayN66ozS4AJGNfU6xYMZe/P/jgA1SsWBEtWrRAUlISvvrqK6xcudKRCb5kyRJUq1YNBw4cQMOGDX3enrZt26Jt27Y+P6/ceJSRDjxysAi24K0UABlAO2rr5Ei+7KF0dpkgCB4NzHksEyIXNDEqH55O6mQ/Xm04+3KUkc4HvPgLpAt848vJd1pp5h94sQ2eEgh9MG/wsOqB+h5X1GYXAJKxp6SkpCA5Odnxz5P4rclkwvLly/Hqq69Co9Hg0KFDMJvNaNOmjeOYqlWromzZsti/f7+czecOjzLSASAqKgqNGjVCy5YtER8fj4YNGzK9xDRQ4MVYkgF8hMVigdVqBcC+3DxFvA+z2fzw3nTKNohQPCPdk80dvT23WiF7Lh+ePNucNfsj5W6W33F2qinzlA/ILhD+QOnJd0I6vNgGT6F9c9iDhzIhYtso6dOO2uwCQH2Kp1SvXt3l70mTJmHy5Ml5/uaHH37AgwcP0K9fPwDAzZs3ERQUhKioKJfjYmJicPPmTR+2Frh8+XK+x2i1WkRGRiIykr0xmceB9JCQEOzcuRM7d+7ElClTYDQa0bhxY8THxyM+Ph5PPfUUdDoKnvkbXowlGcBH8LJxmBSc78PuyIQq1xgCgDyDYqvVCovFAr0+/67DUz0XV9OQbSB7LieePFuxZr+aSw05DzSDggpeuoZHXeANsguEP1B68p2QDg9BTilotVoEBQXBZDKR7jAClXbhDx5kJhWSsWecPHkSpUuXdvztiQ589dVXeOaZZ1CqVCk5m5Yr5cuX97hkYfHixfH8889j0qRJPt/01Fs8DqQnJibi6NGj2LlzJxISErB7925s374d27dvh0ajQVhYGJo2beoIrNerV4/pWo5qgUoB8IdzCQu1dHI5l2NSIF1p5Kh3CtjlGx4enu9vnN/1vAJ2ZBseQaW65MPTYKTaa/Y7D7B84aPxqAu8QYF0wh9QRjp/qDVgRoF0duBhskZsm8Vi8TjZR83wIDOpUJ/iGREREZIyty9duoTffvsN69evd3xWokQJmEwmPHjwwCUr/datWyhRooQvm4s+ffrg4sWL+P3331G4cGE8/vjjiImJwa1bt3D06FHcu3cPLVq0QEREBI4fP45Fixbhp59+wh9//IGSJUv6tC3e4HGNdI1Gg8cffxwjR47Exo0bkZiYiEOHDuGTTz5Bx44dodPpsGXLFowZMwYNGjRAdHQ0OnfuLGfbCVDghUfEZxAUFASt1uNXkGn0er1jRQrJmA3kqHcKeC5fTzfII9vwCAqYyYeUQLrz8WrD1/VO1f68WICHGrUA6QLvUEY6f/DiM0iBdIcteJisybkqOrAhu0B4ypIlS1C8eHF07NjR8Vm9evVgMBiwfft2x2enT5/G5cuX0ahRI59e/91338XRo0cxceJEXLlyBdu3b8fKlSuxfft2XLlyBZMmTcLRo0fxwQcf4L///sO0adNw7do1TJ8+3aft8Bavo3gajQZ169bFW2+9hR9//BH37t3DX3/9hY8//hg1atRAUlISfv75Z1+2lcgFXowllW94BC8ykwp1cmzhS+dXp9M59sTwVL6eBn9os9FH0Aoj+aBAuh1f9z9qf14swIvPQLrAN5SRzh+82AYpkO6wBQ/Zzd4k+6gZsguEJ9hsNixZsgR9+/Z1WcVRqFAhDBgwAG+//TYSEhJw6NAh9O/fH40aNULDhg192obRo0ejQYMGmDx5MkJDXasZhISEYNKkSWjQoAHGjBkDrVaL999/H/Xr18emTZt82g5v8Uk67NWrV7F8+XJ8+umnWLBgAU6cOAEAHi3/JwoGL8aSDOAjeJGZVEjGbOFr51eqfClwKR1ebAOPMiN9tEMZ6fxBdoHwB3KUgyNdkBdebIMUSHfYgocVUd4k+6gZsguEJ/z222+4fPkyXn311RzfzZkzB88++yy6deuG5s2bo0SJEi7lX3zF3r178eSTT+Z5zBNPPIHdu3c7/m7QoAFu3Ljh87Z4g1dFpG7evImEhATHv/Pnz0MQBERGRqJp06YYNmwYWrRogXr16vm6vUQ2KIORP9TYwQEkY9bw9XJMo9GIlJQUnwfSabXKI3ixDTy+6xRIt0OBdP4gu0D4Ayrtwh88BDmlQrrDFjyUdgHsemM2m0lvwI/MpEB2wfe0a9cOgiDk+p3RaMRnn32Gzz77TNY22Gw2nDt3Ls9jzp0759JOg8HAjD/scSD9+++/d2w0eubMGQiCgKioKDRr1gxDhw5FixYtULduXdXUfOYFHmuk21+GwN2IlpdBsVSok2MLykjnDx7tOS+QPtrxdf9DE2Hyw4vPILbPZDLBZrPBR4teCT9BpV34gxfbIAXxXqjWNRvwUNoFkJ7so2Z4kZkUqE9RJ02bNsW6deuwevVq9OzZM8f3a9aswfr169G2bVvHZ2fOnEGpUqX82Uy3eBxI79WrF7RaLZ5++mlH4Lx27dp5biJHyA8vTpTYPkEQYDabAQQp2yAF4UVmUqFOji3kyEh3Pq+vrk968whebAOPMqNAuh3KSOcP3uwCIOoZ2xOChCuUkc4XFosFVqsVAPu2QQqkO2zBS3Yz6c0jePEZpEDyVScffvgh9uzZgxdffBEffvghmjRpguLFi+P27dvYt28fjhw5grCwMHzwwQcAgMTERGzbtg0DBw5UuOV2JJV2sdls2LlzJzIzM5GSkoLU1FQ89dRTjrpUhP/hxVg6t8/eZgqksy4zqVAnxxZKB8w8HZST3tixWCywWCwA2LcNPMqMAul2aLNR/uDFZ8jp51EgnSfkykgP9FWocuFsc1m3DVKgPoUteMluJr15BC8+gxRIvuqkVq1a2L17N4YPH469e/fiyJEjLt83adIECxYsQO3atQEAUVFRuHXrVo6NSZXC40B6YmIidu3ahYSEBOzcuRMTJ04EYF/W27BhQ7Ro0QItW7ZEw4YNKbDuR8Qa6ayXAggKehQ4t7c5UrnGKIwaOziAOjnW4K20i2jLAhWeBsU8vusUSLej9AQbIR1efAa9Xg+tVgubzUb6wCFyZKQLgvBwgpjGhb7G+R1jPVtYCtSnsAUvGeli+0hv+PEZpEB2Qb3UqVMHu3fvxuXLl3H06FEkJycjMjISderUQdmyZV2O1el0KFSokEItzYnHgfTChQujS5cu6NKlCwB7YF2smb5z505MmjQJGo0GRqMRDRs2RMuWLdGyZUs0a9ZMrrYT4MdYirqRmZkZ8EaQF5lJhTo5tpCrtIundSspcCkNngbFPMqM9NEOBdL5g5cNBUU/Lz09nfSBMwRB8Kme5VydQIF0XyPKS6/XQ6fTKdwa30F9Clvw0v+Q3jyCl8kPKZB81UmrVq3QpEkTTJs2DWXLls0ROGcdSaVdnClSpAi6deuGbt26AQDu3LmDnTt3YufOnfj1118xefJkaDQax1J1Qh54CspSIN0OTzKTAm06xxa8ZKST3tgR799gMDA/KObRoaVAuh0q7cIfPPkMFEjnE4vF8nCDWN8EX5zPYdeFiAKfk3CFJ7sgBepT2IJKu/AHLzKTAslXnRw8eBANGzZUuhleo/XFSSwWC86ePYszZ87gzJkzuH79OgRBeFgXj5ATnhwpMoJ2eJKZFEi+bKH0ZqOeZrGQ3tgR75/1Ml0AnzKjQLodykjnD558BtIHPnFeaeYLPdNoNFRqQWZ4sgtSIBvCFrxkN5PePEKNtoHkq06qVq2KS5cuKd0Mr/EqI91qteLPP/90lHbZt28f0tPTHYHzIkWK4JlnnkF8fLxPG0vkhJca6QAZQRE1dnAAyZc1eMlIJ72xw5Nd4FFmpI92KCOdP8g2EHIjR2kxo9GIrKws0gWZ4MkuSIFsCFvwkt1MevMINdoGkq86eeONNzB8+HCcPHkS1atXV7o5kvE4kP7HH384Aud79+5FWlqaI3AeFRWFTp06IT4+HvHx8Y6dVQn54clYkhG0w1PmqRRIvmyhdEY6bTYqDfH+yZbLAwXS7VBGOn+Qn0fIjWgXDAYDtFqfLFaG0WhEUlIS6YJM8FK7WipkQ9iCMtL5gyefwVNIvuqkQoUKaNmyJRo2bIghQ4agfv36iImJgUajyXFs8+bNFWhh3ngcSG/YsCE0Gg0EQUBkZCQ6dOjgCJw//vjjud4wIT88GUsygnZ4kpkUSL5sQRnpfMGTXeBRZp5OYPJ4b1KgQDp/kG0g5EaOYBnpgrzwZBekQHrDFpSRzh+8TH5IgeSrTlq2bOmIL3/yySd5xpOtVqsfW+YZHgfS27Vrh1atWiE+Ph716tXzWcYC4T2CIHDTwQFkBEXI+Q0MrFbAkz0jPT1OKr4OmEmtd0qbjUqDJ7vA47tOEzt2qLQLf5BtIORGjrEE1UiXF57sghTIhrAFLysfSG8ewVNsyFNIvupk4sSJXCdjexxI37Jli5ztILzA2ZjwUCaEjKAdcn4DA50OeOkl4NQp+99BQcDYsUCzZoDJZP+sWjVgxQp5rq90aRfabFQaPJV8EmVmNpsfZgjIMBPkY1gJpKttgo3eX/nhyWcgffAeJW2DHMEy0gV54ckuSIH0xhWlfQZesptJbx6hRtsg3ovFYoHFYoGX2zwSjDF58mSlm1AgSAs5xrmz4MFYUidnR40dHEDyzY1Tp4DDh+3/L8ZHjx0D/FEOnMfSLnIMAniBJ7vgHOy361moco3xEFYC6axMsPnaLlitVhrcyAQvGYEA+QEFQUnbQKVd+IMnn0EKpDeuKO0z8JLdTHpjRxAEVdoG53ux6yT5moTyeKyFr776quSTazQafPXVV5J/R3iGaCi1Wi30evYNCnVydnjaVFAKJF+2UDoj3ZvAZVhYARrIOTw5vs46ZW83BdKlwMIEm6/tAiA+s3CfnJd4BE+2gfyAgqGUbZAjWEa6IC88TbBJgfQmJ0r6DJSRzhcmcXYFfPgMnpJz3BHAA0aCGTyOvi5dutRRDN5TKJAuL86DKx7qC1EnZ4enQbEUSL7sYLPZYDabAfCTkZ6RkRHQgXSeJtj0ej30ej0sFgs37ztLgXQl8XXALOfghgLpvoYnn0Ht749aoYx0/uDJLkiB9IYtKCOdL5zvn/XJDynodDoYDAaYzeaAl7HauHLlCqZPn47ffvsN169fd5kMEtFoNA9XvbKFpDRmvV6PDh06oG/fvihZsqRcbSI8RAy88FBTF6BOToScX0JuRMcX4CsjPZDhzS4YjUakpqZyIzfSRzu+DphptVoEBQXBZDKp9pkpDU+2Qe3vj1qhjHT+4MkuSIH0hi0oI50v5Bj/sYLRaKRAuso4f/48GjRogPv376NGjRrIyspCuXLlYDQacf78eZjNZtSpUwdRUVFKNzVXPA6kf/bZZ/j666+xceNG/PLLL3j66acxYMAAPPvss9AFcmFbBeHNiaJOzg5vcvMUki87ODtSSmWke7rsWJwIDHS94c0uUCCdT+TaVJAC6fLBk21Q+/ujVigjnT94sgtSIL1hC15KCJHe2HG25TxUK5CC0WhESkpKwMtYTUyZMgVJSUnYvn07WrRoAa1Wi/79+2PixIm4ceMGhg4dipMnT+K3335Tuqm5ovX0wKFDh+LPP//E0aNHMWzYMBw4cABdu3ZF6dKl8e677+LkyZNytpPIBd6cKAqY2eFNbp5CTgw7OAfSDQaDT85JGenyIt4/rTCSB9JHO3L0P2p/ZkrDk89AusAnck2wAaQLcsFLgFMqpDfsIAiCo8wC6/0P6Y0dnvwFqZCM1cdvv/2GDh06oEWLFo7PxDLiJUuWxOrVqwEA48aNU6R9+eFxIF2kVq1amDt3Lq5du4ZVq1ahbt26mDNnDmrVqoVGjRrhyy+/RHp6uhxtJbLBm7EkA2iHN7l5CsmXHeTISJA7kG42myEI1gK0kG94swu8ve8USLdDATP+4Mk2kC7wCZV24Q+e7IIUSG/YgacyIaLeOLc5EFGrXQDINqiRu3fvomrVqo6/9Xq9Sxw5ODgYbdu2xc8//6xE8/JFciBdxGAwoHv37ti8eTMuX76MadOm4fLlyxgyZAiz6fdqg2qk84laOzmSLzuwMCiWGrgEAEEIXAeYN7vA0/suCILH7wRP9+UNLNgGQhq81KgFSBd4hUq78AdvPoOnkN6wgxxlIuWC9MaOWleqACRjNVK0aFGkpaW5/H3x4kWXY/R6PR48eODfhnmI14F0EZPJhN27d2PXrl24desWBEFg3tiqBd6cKDKAdniTm6eQfNmBhUGxN4F0my3Dy9bxjzgxyotd4Ol9lzIY5Om+vIEF20B4jsVigc1mA8CHbSBd4BOaYOMPGksQcuMsA1+ViZQL0hs7arULAMlYjcTFxeG///5z/P3UU09h69atOH/+PADgzp07WLt2LSpWrKhUE/PE60D64cOH8cYbb6BUqVLo3bs3jh07hlGjRuHUqVNo166dL9tIuIE3Y0kG0A5vcvMU8X7EgCChHCwMij3NitDpdA4H3WYLXNvAm13gyZ47tzHQA+lU2oUvpOguC5Au8ImcE2yBXmpBLnjzGTyFbAg7OI8lWN+4kvTGjlrtAkAyViPPPPMMEhISHBnnI0eOREpKCmrXro369eujcuXKuHnzJt544w1lG+oGvZSD7927h+XLl2PJkiU4duwYdDodOnTogFdffRUdO3aETqeTq51ELlAGI5+otZMj+bIDC1mnUvTcaDQ+rJEeuLpDm43Kh9hGrVYLvT5vt8f5vuwb3rA9eJQKbTbKF87PlIel2qQLfMLC5DshDbWWcCC9YQcqK8Yfao0xACRjNTJ06FC0bNnSEUNu2bIlVq1ahcmTJ+PEiRMoV64cpk+fjkGDBinc0tzxOJDeo0cP/PTTTzCZTKhSpQo++OAD9OnTBzExMXK2j8gDXgMvgZ6xrNZOjjo4dmBhUCw1kJ6SkkIZ6eDHLvD0vjs/2/yyqsT7EgQBgmAGECR38/wKZaTzhfhMDQYDF8kqpAt8wsLkOyEN3nwGTxHvx2q1QhAskJjzR/gQniZryN7YUatdAEjGaiQyMhINGjRw+ax79+7o3r27Qi2Shse909q1a2EwGNCpUyc0btwYgiBg2bJl+f5u9OjRBWqgP/nzzz8xadIk7Nu3D2azGbVq1cLbb7+NHj16KN20XOHNWJIBtAdneJObp5B82YGFYJnUQDoAykgHP3aBp4lRKau3XDe/zYRaA+mUecoHvNoF0gW+YMFnIKTBm23wFNd9czIBhCvXmABHDn9BLsje2OFp8kMqJGOCNSRN85rNZvz444/46aefHi55zhuNRsNNID0hIQHt27eH0WhEr169EBERgXXr1qFnz564cuUKRo0apXQTc8CbE0UGEA/LV9jfHV7k5ini/VgsFsoiURils8sEwQaTyeRxG8Rz02aj/NgFnuy5lL7SWV/tg/hIuZqlCErbBkIa5OcR/oAm2PiDN9vgKc59k30ymwLpSkGlXfhDrXYBIBmrGYvFgtOnT+PBgwewWq25HtO8eXM/typ/PI50LVmyRM52KIrFYsGgQYOg1Wrx+++/4/HHHwcATJw4EU899RTGjRuHF154AeXKlVO2odngOfCi9XqbW75xNv68lOTxFNcskixQIF055BwUWywWWCx5T5QIginH7zw5N5V24dOes46UZ6vRaBAcHIysrCzVrZCwWCwOB5UC6XzAs13goBIN8RCaYOMPnoKcUtBqtQgKCoLJZApon5AFKCOdP3jzGaRAMlYfgiBg4sSJWLBgAVJSUvI81l2AXUk8jnT17dtXznYoyo4dO/Dff/+hf//+jiA6ABQqVAjjxo1Dv379sGzZMkycOFG5RuYCrzXSMzMzERqqcGMUwtn4BwWpq2RAziySMOUaE+DIOSgGROfafffhPPjxxJkTbZjaApdS4M355cmhlfpsjUYjsrKyVDeIFwfFAGWe8gJvwTJnXQgjF4AbKCOdP3gKckrFaDTCZDIFtE/IAjz1P+J7YDabHwbcAnMml7exhBSoT1Ef06ZNw4wZMxAVFYU+ffqgTJky0Ov5ScTkp6UysnPnTgBAu3btcnzXvn17AMCuXbvc/j4rK8tlgCrOqHTubEZwsBnlygFmsw8b/JD09HQA9k2ozHJcwMeIL0ZmZia6dzejZk33x8r1zJRG1A2j0fgwq1dd6PV6WCwWxMen4PHH3ZdEUKt8s9OxIxx6rtfbb7hXLzNE0cttG4KCgnxmG7ROy0hSUlLQsWOQ23e4SJEUHD8Ox8aO+bVBdNLr1k1Fkybuj1Wz3ogrjHix5+JEYHp6Ojp2ZNuep6amArDrmSfP1mg0IikpCU2bpuDJJ32vj0rZBfE5APb32Vd6JupCWloa87rAG2lpaQA8112lcfbzevQgXZCK0j6DXq/3mZ6JupCRkUF2QQZEn8GXMmMFo9GI5ORkNG2agnr1AtMndEYpuyD2P74cS8iF8xglNTUVHTuGurU5atYbnmQmFYPBAICPcYe/4TWm9PXXX6NcuXL466+/UKRIEaWbIxmPAulpaWkIK2BqiS/OIRdnz54FAMTFxeX4rkSJEggPD3cckxuzZs3ClClTcnzert3vKFr0JABg0yYfNdYJsU2XLl3CJjku4GMuXrwIAEhKSsKTT27Ck0/mfTwHtySZa9euAQB0Oh0XMpOKGEivVm0LSpYsmeexKrz9HDz5JHLoeefO21z+luM5HD58GACQmJjoUz3T6XSwWq3YtGkTnnyyiNt3+NatWwDsTs/mzZvzPa84wfTYYwfRsmXeK2zUqjf3798HABw6dAjJyckKtyZ/rly5AgD4999/MXgw2/b8wIEDAOyBB0/eB5vNBgCIi9uBypWv5nmsN/ellF24d+8eAPuA89dff/XZecV+7dSpU+jfn21d4I2//voLgD1hgwefgfy8gqGUbRDf4dOnT/tMz44dOwYAuHv3LumCDIg+w99//+0InqkFcS+pypV3oFKly3keGwh6o5RdOHjwIAB7YJr1/se57MNPP/2EJ5+MyNPmMH47XvPPP/8AAG7cuMG8zKRy9ardH+dh3OFv7t69q3QTvOLmzZsYOnQol0F0wMNAemxsLN59910MGzZMcjB8//79mDJlCpo0aYIJEyZ41Ui5SUpKAmAv5ZIbkZGRjmNyY+zYsXj77bcdf1+7dg3Vq1dH8+bNUb58eZ+21ZnvvvsOAFCnTh10WL8eOH3a/cFVqgBffilbWzzhzJkzAOwOUocOHRRti1KIA4uIiAj7Mxg4kHm5SSE8PByZmZlo2LAhatSooXRzmMJsNmPbtm1o27atY1ZdLk6cOAEAqFChgk9tQ0hICFJTU9GkSRNUqFDB7XGnH14vNDQ0fz2vUgVflimDI0eOoGrVqgFrG8RsmlatWqHWvHnM24WjR49izZo1KFGiBPMyEycmSpYs6ZE+Fi5cGHfu3EG9evXQrFkzWdvmT7tw4cIFAPZsP1/ahT///BMbNmxAqVKlmNcF3hCXMMfExHDh54kJHoHs5/kKf9qGOXPmAADq//03OjyceMwVCTpWuHBhAPYJddIF3yP6DPHx8Xj800+Ztw1SiIqKcvTBTZo0Ubo5TOFPu3Dnzh0AQOnSpbnof8Rkn2bNmqFUqVKKtkUpfv/9dwCwj6c4kJkUjh07hu+//56LcYe/ESfDeSM2NpaL5DF3eBRIf/HFFzF+/HhMnToVXbt2xQsvvICGDRuiWLFiOY61WCw4evQotm3bhhUrVuDkyZOoXr06nnnmGZ83nhWCg4Nd6oeJCmEwGGTt5Ewm+4Z+4eHhMBw/DjzMQnVzMCBzh5sfERERAOwDQ7k7f1YRZ8yNRqP9GXAgNymI9cusVmvAyjg/5LYLwKMlXiEhITAcPOgzHTMajUhNTc1XvpL03GRC6MPVQCaTKWD1RlymHRERwYU9FyfVeZCZy/vggT6KNfstFovf7s0fdkHMtA8ODvapjvGkC7zhorsc2AXy83yPP2yDOJ4Iu3oVhocTbm4O9FjHwsPDAZAuyIVYUpSXMaAUlOiDecPvYwkOdMxoNCItLS2gx6CiLQ8NDeVCZlIgX9M9PNUVd2bo0KGYMWMGbt++jeLFiyvdHMl49NTnzp2L119/HdOmTcP333+P5cuXA7DPUMbExCAqKgqZmZm4d+8eLly4gKysLAiCgOrVq2Px4sXo16+fS+0q1hAz0d1lnScnJzsyK1iCtw0lxHaK+iHWTw4kxGAZLzKTCm0EwgZybRDkqXyl2iZx0BTIesOrPedBZt5sNur8O7Ugl46p9XmxAK92wWQywWazMe37E49wbFzpQ3mRXZAX3myDFEh32ICnzUaBR4H0QNYbsgsEy1y+7Fqqq3Pnzti9ezcaN26MiRMn4oknnkBkZO577JUtW9YfTZSEx9MXcXFx+OabbzB37lysXLkS27dvx759+3Do0CHHMQaDATVr1kSLFi3w/PPPy74k2leItdHPnj2LevXquXx38+ZNpKam4qmnnlKiaXnCm7F0bmdWVhY37fYlvMlMKtTJsYFjUKxQwIwCl9Kw2WyOLBJxUoF1eJIZ6aMd0S4oNcFGSIc3nyG7n8eLPQt0HAEzHya4kF2QD0EQuLMNUiDdYQO5xhJyQXrDn88gBZIv/5QvXz7XRFpBENC/f3+3v9NoNExuqCp5HUB0dDSGDx+O4cOHA7DX6kpMTERISIjbGuOs06JFC8yaNQu//vorevXq5fLd1q1bHcewBm/Zzc7tzMzM5KbdvkTNHRxAnRwr8JaRHuh6Iw5WAH5sA08yI320Qxnp/MGbz5Ddz6NAOh9QRjpfWCwWR6kuXmyDFEh32IDHjHQgsPVGroQJFiD58k+fPn1UVZGiwAV1DAYDSpQo4Yu2KEbr1q1RoUIFrFy5EiNGjMDjjz8OwF7qZebMmQgKCkKfPn2UbWQuiIaEl4GKwWCARqNxyaQINHgbFEuFOjk2UDojXaojF+h643zfvNgGnmRGgXQ7cmeki5P7hO/gbVCs1+uh1Wphs9lU9/6oGTkz0q1WKywWC7c1XFnE+d3ixTZIQa19MG/w1v+Q3qg7zkDy5Z+lS5cq3QSfQsULYXf8v/zyS9hsNjRv3hyDBw/GqFGjUKdOHZw5cwYzZ85E+fLllW5mDngzlhqNJuBrIfMmM6lQJ8cGcmWRiOeTKyM9UANx4n3rdDpugg08vesUSLdDpV34gzefQaPRkD5wiGPyXYZAOkC64GucV7HxEuSUAtkQNqDSLvzBm88gBZIvwRoUSH9IfHw89uzZgyZNmmD16tVYuHAhYmJisGrVKowaNUrp5uUKj8Yy0I0gjzKTQqDLlxWUzkinwKU0eLQLPMmM9NEOlXbhD55tg3Owj2Abx+S7D0u7OAd4yTb4FvF5GgwG6HQ6hVvje6hPYQMq7cIfPPoMnkLyVQ8zZszAuHHjYDab3R5jMpkwbtw4fPDBB35smTQokO7EU089hc2bNyMpKQnp6ek4ePAgevbsqXSz3MJbjXSAjKCaOziA5MsKSmeeStVzWqnCn13g6V2nQLodpe0CIR2yDYQ/cNgGH2ak63Q6GAwGAKQLvoZHuyAFsiFsQBnp/KFm20Dy9S3Xrl3Dyy+/jCJFiiAkJAS1atXCX3/95fheEARMnDgRJUuWREhICNq0aYOzZ88W+Lq//fYbJk6ciCJFijh8hNwICgpC0aJF8f777yMhIaHA15UDCqRzDG810gEygmru4ACSLyvQZqN8QbZcXkgf7VBGOn/w6DOQPvCFzWZzZIX5crNRgHRBLni0C1IgvWEDykjnD97q2kuB5Os77t+/jyZNmsBgMGDz5s04efIkPvnkExQuXNhxzEcffYT58+dj0aJFOHjwIMLCwtC+ffsCP/9vvvkGhQsXxvDhw/M99vXXX0d0dDSWLFlSoGvKBR/FWIlc4dGRCnQjyKPMpBDo8mUFpUu70Gaj0uDRLvAkMwqk26GMdP4g20DIjUu9bR9mpAN2XUhJSaEyPz5GzcEygGwIK/CmZ6Q3fPoMnkLyzZ+UlBQkJyc7/g4ODs71/f3www/x2GOPuQSoY2NjHf8vCALmzp2L8ePHo3PnzgDsAfCYmBj88MMP6NWrl9dt3LdvH9q0aeORXQkODkabNm2wd+9er68nJ5SRzimCIHC35AogI6jmDg4g+bICZaTzBY92gSeZkT7aoUA6f5BtIOTGOchNGel8wKNdkALpDRvwFmcgvVG3bSD55k/16tVRqFAhx79Zs2bletyPP/6IJ598Et27d0fx4sVRt25dLF682PH9hQsXcPPmTbRp08bxWaFChdCgQQPs37+/QG28fv06KlSo4PHxsbGxuHHjRoGuKRdeeUwVKlTA66+/7uu2EBJwNiI8GUuxrWJ990BDzR0cQJ0cKyidke5t4DJQ7QLtdyEvFEi3Q6Vd+IO3pfUA6QNviHLSaDQ+X6ZMuiAPNJYg/AFv/Q9tdK1u20B2IX9OnjyJpKQkx7+xY8fmetz58+excOFCxMXFYevWrRg6dChGjBiBZcuWAQBu3rwJAIiJiXH5XUxMjOM7b9FqtXluMpods9kMrY8n+X2FVz7T3bt3ERkZ6eu2EBJwNiJUV5cf1NzBASRfVqCMdL7g0S6IbbVYLLBYLNDr2a0UR/poxx8Z6YIgQOPj8hCBDG8ZgYB63x+14qxjvn53SRfkgUefQQqkN2zAW/9DeqNu28DTuEMpIiIiPIrR2mw2PPnkk5g5cyYAoG7dujhx4gQWLVqEvn37ytrGUqVK4cSJEx4ff+LECZQuXVrGFnmPV+H92rVr48yZM75uCyEB0VBqtVquDEmgd3Jq7uAAki8r8JaRLk4GBqre8LzZKMB+9g8F0u3InZFus9lgsVh8eu5Ah0efQa3vj1qRM+uUdEEeeLQLUiC9YQNeM9IDWW94q2svBZ7GHaxTsmRJVK9e3eWzatWq4fLlywCAEiVKAABu3brlcsytW7cc33lLs2bNsGPHDly8eDHfYy9evIgdO3agefPmBbqmXHgVSB8zZgx++uknJCQk+Lo9hIc4O1E8ZX8FeifHY8BMCoEuX1ZQOiOdNhuVBo+DYmfZsi43qXZXrfood0Y6oL5npjQ82ga1vj9qRc7AC+mCPKg5WAaQ3rACZaTzBa/753kKT+MO1mnSpAlOnz7t8tmZM2dQrlw5APa65CVKlMD27dsd3ycnJ+PgwYNo1KhRga79+uuvw2w244UXXsDdu3fdHpeYmIju3bvDYrFg6NChBbqmXHiVynz//n20a9cO7dq1Q5cuXVC/fn3ExMTkGtDt06dPgRtJ5ESsqctbQDbQOzkeB8VSCHT5soLSmwpSBrA0eLQLer0eer0eFouFebmRPtqRyy5kH9xERET49PyBDI+2Qa3vj1qRM/BCuiAPPNoFKZDesAFlpPOFy8bRKrQNOp0OBoMBZrM5YGXsK9566y00btwYM2fORI8ePfDHH3/giy++wBdffAHAvmfKyJEjMX36dMTFxSE2NhYTJkxAqVKl0KVLlwJd+4knnsDIkSMxd+5cVK9eHa+99hri4+NRpkwZAMC1a9ewfft2fPHFF7hz5w7efvttPPHEEwW9ZVnwKpDer18/aDQaCIKAdevWYd26dQDgEkgX62RSIF0eeHWiAr2T41VunhLo8mUF3kq70Gaj/G02CtgnclNSUph/3ymQbkeu/ker1SIoKAgmk0l1z0xpePQZ1Pr+qBU5g2XiOUkXfAuPdkEKZEPYgLeVD4GuN873rVbbEBwcTIF0H1C/fn1s2LABY8eOxdSpUxEbG4u5c+fipZdechwzevRopKWlYfDgwXjw4AGaNm2KLVu2+ES3PvnkExiNRvzf//0fZsyYgRkzZrh8LwgCdDodxo4di+nTpxf4enLhVSB9yZIlvm4HIRFenSjq5PiUm6cEunxZQBAExUu7UOBSGrzaBaPRSIF0jpC7hAMF0n0Pj7ZBre+PWqGMdP7g0S5IgfSGDXgrExLoeiPet0ajgcFgULg18mA0GpGamhqwMvYlzz77LJ599lm332s0GkydOhVTp071+bU1Gg1mzpyJAQMGYMmSJdi3bx9u3rwJwF6fvUmTJujXrx8qVqzo82v7Eq8C6XLv5krkD69OFHVyfMrNUwJ900gWsFgsEAQBgPIZ6Z4G7ES9ycrKcqxmCiR4tQu82HMKpNuRU8+MRiOSk5NV98yUhkfboNb3R6249Nc+3iyYdEEeeCu5IRXSGzbgTc8CXW+ckyXUOo4KdBmrjYoVKzKdcZ4fXm02SigP1UjnE15LOHhKoMuXBZyfvdKbjUoNXDr/NpDgdRNiXt53CqTboU0F+YO3QAZAusAblJHOH7xlCkuF9IYNeNOzQNcbHifepRLoMibYokCB9A0bNqBHjx6oXbs2KlWq5Pj833//xUcffYRr164VuIFE7vBqLAPdAPIqN08JdPmygHMgmrfSLp6cW43wahd4eN9tNhtMJhMACqRTIJ0/eAtkAKQLvCHnZA3pgjzw6jN4CukNG/A2kRvoeqN2uwCQjNXOlClToNd7VTBFEbxqqc1mQ+/evbF27VoA9iw6503iChcujPfffx9WqxVjx471TUsJF3g1loFuAHmVm6cEunxZQHz2er0eOp3Op+eWK5Cu1+uh1Wphs9kCUnd4tQs8vO/OE0uBHkiXu7SL8zWIgiMIAgXSCdmhCTb+4NVn8BTSG+WxWCyw2WwA+NGzQN/cWO12ASDbEAiI5Wl5wKuM9Dlz5mDNmjUYMmQI7t+/j3feecfl+5iYGDRr1gy//PKLTxpJ5IRXYxnoBpBXuXlKoMuXBVgYFEvVc41G4zjWeVI2UOC15BMP77tz2wI9kM6CbSA8x5tJIBYgXeALKu3CHzSWIORGztWtchHoeqN2uwCQjAm28CqQvnTpUtSvXx+ff/45IiMjc93QoFKlSrhw4UKBG0jkDtVI5xO1d3KBLl8WYGFQ7M1y0EDWHV7tAg8yE9um0+k8Xi7ofF88ZUbkB2Wk84U3k0AsQLrAF1TahT/knBRlAdIb5ZFzvyW5CHS9UbtdAEjGBFt4FUg/d+4cmjVrlucxRYoUQWJioleNIvKHAi98wqvcPCXQ5csCLAyKvQnmi5OCgag7tNmofHhjc8VjBUGA2WyWpV1KQBnpfCE+S41GA4PBoHBrPId0gS9YmHwnpBEoYwmr1QqLxaJwawIT0S7IUSZSLgLd3qjdLgAkY9758ccfcebMGbffC4LAVQKTV4H0kJAQJCUl5XnMpUuXEBUV5c3pCQ/g1VgGcrCM13qnUqAOTnn8MSh2XvKZGwUJXgai7vBqz3mQWUF00fn3aoAC6XzhrLu5rfxkFdIFvmBh8p2QBq8+g6eotQ/mCd42GgXI3qjdLgAkY955/vnnsWrVKsffFSpUwPz58x1/v/XWW1xVNPEqkF63bl1s3brVrRLfu3cPW7ZsQcOGDQvUOMI9vBrLQDaAvNY7lYJ4XxaLhbJIFIKFQTEF0qVB9lw+vHm2zu8Oy/cmFSrtwhdkFwh/QBnp/MGrbfAUtfbBPMFj4leg2xu12wWAZMw7BoPBZaXvxYsX8eDBA8ffhQoVQrly5RRomXd4FUgfMWIErl69im7duuHq1asu3/333394/vnnkZSUhBEjRvikkUROqEY6f/Ba71QKzveVX9YyIQ/+GBSbTCbYbLZcj7HZbI5OkgLpnsGr88uDzLx5thqNxjGQZ/nepEIZ6XzBY0YgQLrAG/6YfCd/0Lfwahs8RavVIigoCADZEaXgUccCve/hdSwhhUCXMe+ULVsWe/bsgdVqdXzG04rL7Hi281Y2OnfujDFjxuDDDz9EuXLlEBYWBgAoXrw4EhMTIQgCJkyYgFatWvm0scQjeDWWgWwAea13KoXsWSSibSD8hz8GxYB9YJzbRJ7zgNmbzUbFScJAQrxnXu05yzLz9tkajUZkZWWpqq+ijHS+4DEjECBd4A2aYOMPXm2DFIxGI0wmE+mOQvC4cWX2ZB+t1qt8UW7hUWZSoT6Fb1588UVMnToV0dHRKFKkCABgzpw5WLJkSZ6/02g0+O+///zRREl4bWFmzZqFrVu34tlnn0VoaCh0Oh1sNhuefvppbN68GVOmTPFlO4lsUCCdP3itdyoFnU7nmCQIRBmzgD8GxYB7+Xq78iKQ908gey4f3j5bHu5NCs57dFDAjA/ILhD+gEq78AevtkEKpDvKwuNkTaCviia7QLDO+PHjMXPmTNSuXRsajQYajcaxwWhe/9ytglcarzLSRdq2bYu2bdv6qi2EBHg1loFsAHmVmVSMRiPMZnNAypgF5HR+9Xo9tFotbDZbvoF0rVYLvd7zLoZsA5XqkgMKpNtxrklIgXQ+4NVnIF3gCxb2VSGkwattkALpjrLwXNoFsLefN5+6oJBdIFhHr9fjvffew3vvvQfAHit46623MHHiRIVb5h2BteZFRfBeI53lUgByEQgdHECdnNLI7fzmJ19vV14Est7waht4kBkF0u3IvUeH2p4XC5BdIPwBZaTzB6+2QQqkO8rCY0a6mOwDBKbekF0geGPSpElo2bKl0s3wGq8y0itWrIhWrVqhZcuWaNmyJUqXLu3rdhH5wKuxDGQDyGvWqVQCWcYsILfzazQakZ6e7lEgXep5nX8fSJA9lw/SRzvOy5zFTdx8idqeFwuQXSD8AWWk8wfVQibkhseMdI1Gk+8YRc3w6jNIgeyCupg0aZLSTSgQXgXSrVYrvvrqK3z99dcA7IH1+Ph4xMfHo2XLlihRooRPG0nkhFdjKbbXbDbDarVCp9Mp3CL/wavMpBLIqw5YQOmMdG8HeIGqN4IgcL/ZKMsOLQXS7Yj3ERQUJMsGXGp7XizAq88gtjcrKwuCIKh2Txi1QBnp/MGrbZCC6EOS7igDjxnpQP7JPmqGJtgIXtm7dy+WLl2KI0eOIDk5GZGRkahbty769OmDpk2bKt08t3gVSL948SIuXryIhIQE7NixAzt37sTixYuxePFiaDQaVK5c2RFU79Gjh6/bTIBfJyr7RiChoaEKtsa/8CozqVAnpyz+yEgHPCvt4svzqhWTyeT4f95sAw8yI320I/cAS23PiwV4zAgEcvp5vNm1QIMy0vkjEMYTpDvKwmtQNpD1huwCwSNvvfUW5s+fD0EQAMCxAemhQ4fw1Vdf4c0338Ts2bMVbmXueJ2WVL58efTv3x/ffvstrly5gjNnzuCLL75Ar169cPfuXfzvf//Diy++6Mu2Ek7wXiMdCDwjGAgdHECdnNIonZHurZ6LtizQ9Mb5fnm15yzLjALpdiiQzh+8+gyB7OfxiJy2gbKKfY8gCNzaBilQn6IsvE/kOpezCxTILhC8sWzZMsybNw9xcXFYsWIFrl+/DovFghs3bmDlypWoXLky5s2bh2+++UbppuaKT9b3pqWl4dy5czh79ixOnz6N+/fvQxCEgMo29je8Gku9Xu8o5xJoRpBXmUmFOjllUTpgRoFLaYj3q9FoYDAYFG6NNHiQGemjHbn7H7U9LxbgdWl9oG/4xhv+KO0ilnMkCo7ZbHZk7vEW5JQC9SnKwmv/E8h6EwhxhkCWrxpZuHAhypQpg4MHD6J3794oUaIENBoNYmJi0KtXLxw4cAClS5fG559/rnRTc8Wr0i6ZmZnYu3evo7TLoUOHYDabERISgsaNG2Pq1KmIj49H/fr1fd1e4iE8G0uj0Yi0tLSAM4I8y0wK1MkpCyulXbytkR5oeuNsF3irJcyDzCiQbkfpCTZCOrz6DIG+4Rtv+KO0CxB45RzlwjnTljfbIAXqU5SF94z0QNQbXn0GKQSyfNXIP//8g4EDB6JQoUK5fl+oUCF069YNX375pZ9b5hleBdILFy4Mk8mEoKAgNGjQAOPGjUN8fDwaNmyIoKAgX7eRyAVeN6cDAjeQzrPMpECdnLIoXdrF20B+oOoNz44vDzKjQLodykjnD95tAwXS+cAfGemAXZ8pkF5wnN8p3oKcUqA+RVkoI50/eK1rL4VAlm+gwnKSmVelXbKysiAIAho0aIAOHTqgY8eOaNasGQXR/YhoQHirqQsErhHkeVAshUCVLyuwkpHubeBSnHAKFHieYOPhXadAuh3KSOcPnn0G0gd+kHPyPZDLOcqF+ByDgoIcJZTUCNkQZaGMdP7g2WfwlECWrxqpUaMG1q1bh9TU1Fy/T0lJwbp161CjRg0/t8wzvOqBN2zYgBEjRuD+/fsYO3YsGjRogOjoaHTu3Bnz5s3D8ePHfd1OIhs8G8tANYI8y0wKgSpfVlA6I502G5UGz3aBh3edAul2KJDOH2QbCH+g9OQ7IQ2e7YIUSG+Uhdfs5kDWm0CwDYEsXzUyZMgQXL16FY0aNcK6detw9+5dAMDdu3exdu1aNG7cGFevXsXQoUMVbmnueFXapXPnzujcuTMAIDExEQkJCUhISMCuXbvw008/QaPRoEiRIoiPj8fq1at92mDCvmM7r0uugMA1goHQwQGBK19WUHpQTIFLadDqInkhfbRDpV34g2efgfSBH/wxyRaI5RzlgtdMYamQDVEWXuMMgaw3PPsMnhLI8lUj/fv3x+HDh/Hpp5+iR48eAACtVgubzQbAHvN844030LdvXyWb6RavAunOFClSBC+88AJeeOEFXL9+Hd999x0++ugj3LlzB2vXrvVFG4lsOBsPHo1loBrBQOjggMCVLyuwkpFOm416Bs92gQeZUSDdDmWk8wfPATPSBz4QBEFxn4GQBq8BTqmQ3igLr/1PIOsNz+MJTwlk+aqV+fPno3v37li6dCmOHDmC5ORkREZGom7duujbty+aNWumdBPdUqBA+p07dxzZ6AkJCTh79iwAu2NWsmRJxMfH+6SRhCvOxoOyGPkhEDo4IHDlywpKB8xos1Fp8GwXeJAZBdLtUEY6f5BtIOTGYrFAEAQAZBt4gWe7IAXSG2XhdcImkPWG13I8Ughk+aqZZs2aMR0wd4dXgfQRI0YgISEBJ0+eBGAPnBcvXhzdu3dHfHw84uPjUblyZZ82lHiEaDy0Wi30+gIvKvA7VAuZL6dEKtTJKQvvpV1os1F+ENtstVph+X/27js8iqptA/i96T30hB5K6B2kSgktgHQEKSIgYkEUEfUFXpFiQRQpKqggAr6CKBAIUlSkt4BSpAkCJjRJ6CEJpGyy3x/5ZtlNYzfstDP377q4lN1h5sycs8+ceebMGbNZk+cjJtKzKXmDzWKxwGQyybIdI9FrIgMQ7/cjKtv64Yh0feC1BCmBI9L1xwixQdo3s9ms2esOMo5Ctb7PP/8cxYsXR58+fayJ81q1arm6bJQP20Cpx4tVo57kjHCCA4xbv1qh9mPaTFw6R89xwbbMqampCAgIULE0eWN7zKZUXMjKyoLZbIanp6cs2zESPccGqZ2J8vsRlXSzBmAiXS/0muB0FtuNuvR6I9fI5x499xkcZbtvaWlpTKQLJjo6GtHR0fjmm2/ULopDCtX6jh49inr16rm6LOQgPY9gBIzbOTLCCQ4wbv1qhV5HpBv9SRU9TtNleyHPRLq2KRUXgOxjxkT6o9Nzn0G034+opPrx9PSEm5ubLNuQ2oJt0p4KT68JTmcxhqhLrzdsjNxu9NxncFTO6w5/f38VS0OudvToUSxbtkw3ifRC9ZqYRFeXnhMvgHFPckY4wQHGrV+t0MqIdL5s1DF6jgvu7u7WhKlW642J9GxyT+2S8+KGHp2eY4Novx9RKZGUZVtwLT3HBWew3ahLr/NtG7XdZGVlISMjA4DYscHDw8M6Ct1odUza80jPQ8TFxWH58uW53rA6ePBghIWFuaiIlJPeO1FGPcnpvd4cZdT61Qq1R6TzZaPO0Xtc8PHxQUZGhmbrjYn0bHK3Mzc3N3h5eSE9PV2YY6Y2PccG0X4/olIiWca24Fp6jgvOYLtRl16ffDBqu1Fimi6t8PHxQXJysuHqmLSn0In0efPm4a233rJ74zsArFmzBtOmTcNHH32EsWPHuqSQZE/vnSijnuT0Xm+OMmr9aoVWRqQ/SuLSSC8r1Htc8PHxQVJSkmZ/70ykZ1MqYcZEuuvoOTaI9vsRlRLTN7AtuJae44Iz2G7Uxald9MV2f40QG5hIJy0oVCJ9w4YNGDduHEqUKIFx48YhIiICpUuXRnx8PLZv347Zs2fj9ddfR9WqVfHEE0+4usyGJ8oc6dJ+GAU7v6QEuRNmcifSpccTvby8HqGU+iFKPNfq772wU6Fpfb+cpVTC7O7du8IcM7XpNZEBiPf7ERWndtEfPccFZ7DdqIsj0vVF2l83NzfhX8Bp1Do2gnbt2qldBKcU6pc2e/ZsFCtWDIcPH0a5cuWsn1esWBHNmjXDkCFD0LBhQ8yePZuJdBlwjnR90nu9Ocqo9asVak/t8qgvG5XWYZREut7jgtZfEssR6dmYMNMfPd98Z1vQB45I1x+9JjidxXajLr3esDFqu7HtL4j+RK9R69gI2rZti7Zt26pdDIcVKpF++PBhDBkyxC6Jbqt8+fIYMGAAVqxY8UiFo7zp+eIKMG4A1Hu9Ocqo9asFti+bkXtEuu18fLYK2/m2TZynpqYiKCiokCXUF73HBS3/3jMzMwv98iUt71dhcC5k/dFzwoxtQR94g01/9N5ncBTbjbr4slF90XN/wVlGrWORpaen47fffsPp06dx7949vP322wCy6/ju3bsoUaIE3NzcVC5lboUqUXp6Ovz9/QtcJiAgAOnp6YUqlJKmTp0Kk8mU75+4uDi1i5iL3jtRRg2Aeq83Rxm1frXANrmtt5eNmkwmQ7YdvccFLdfZo/wetLxfhaFEOxPtmKlNz7GBbUEfOCJdf/QcF5zBdqMuvSZmjdpu9PoEQWEYtY5FtX79elSoUAE9evTAG2+8gSlTpli/O3bsGEqXLo2VK1eqWML8FWpEerVq1fDTTz/hgw8+yHMeJrPZjA0bNqBatWqPXEClDBs2DGFhYbk+L1KkiOJleRjOqatP7PyS3GyPud7mSJf+TWpqqqHajt7jgpZ/74/ye9DyfhUGR6Tri9lsRmZmJgB9xga2BX1QIi5I62ZbcA2jJMwYQ9Sl13Zm1Haj92sJZxi1jkW0d+9ePPnkkyhdujTmzZuHmJgYfP/999bvmzZtiqpVq2LNmjUYPHiwiiXNW6ES6c888wzeeOMNREZG4qOPPkLjxo2t3/3xxx+YOHEizpw5g1mzZrmsoHIbPny4bia41/ucukYNgEY5yRm1frVAuig2mUzw9PSUZRtyJ9ILWreI9B4XtFxnUpk8PDycfvmS7X5ZLBbdzznJkaf6YnsM9Rgb2Bb0gVO76I9eRwo7i+1GPRaLxTqrgN7amVHbjd6vJZxh1Dp2palTp2LatGl2n1WvXh2nT58GkH1sx48fj5UrVyItLQ2RkZFYsGABQkJCXFqOd999F0WKFMGhQ4dQokQJ3Lx5M9cyTZo0wYEDB1y6XVcpVCJ97Nix2LVrF9avX4+mTZvCz88PpUqVwrVr13Dv3j1YLBb06tULY8eOdXV5CfoPlkYNgHp/ksBRRq1fLbBNlsmV+HvY6DJXJNKl34oR6D0uaPn37oq2aLFYkJGRofuX3zJhpi9KPF0kJ7YFfeANNv3R+zWgo6T9y8zMhNlsdvpmOBWe7bR4ejv/GDXeGCUuAMatY1erXbs2fvvtN+vfbWPsuHHjsHHjRqxatQrBwcEYM2YM+vbti71797q0DAcOHMCTTz6JEiVK5LtM+fLlER0d7dLtukqhzkru7u5Yt24dvv32WyxbtgxHjx7FxYsXERQUhGbNmmHYsGEYOnSoq8sqq127duHAgQNwc3NDeHg4OnbsiICAALWLlSe9B0sjBsBHeemd3hixfrVCC9M3PEoZpKdsjNR2+ISRfFyRSJfWI0oinQkzfbB9msLd3V3l0jiPbUEfeINNf/R+DeionOdgrV6Ti0iJ9y3JxajxxihPqgDGrWNX8/DwQGhoaK7PExMTsXjxYqxYsQLt27cHACxZsgQ1a9ZETEwMmjdv7rIypKWlISgoqMBl7ty5o8kXjQKFTKRLnnnmGTzzzDOuKouqbCe2B7LnRp83b55D+5eWlmZ30klKSgIAZGRkWJOnrpSSkgIA8PT0fLB+Ly+goESMlxcgQ1kKQ7rjdf/+fVmOjxbdu3fP+v/u7u66rDdHSRf9mZmZuH//PkeR/D+pzuVs88nJyQCyOxlytTGpflNTU/PcF6lj43A7t9m+lORLTk42TGyQRqR7eHjoMi5ICeaUlBTN1VmevwfAofZo22lLSkqS7UaHEnEByKOdydDGtNwW9EbqR8oZy+VkxH6eqykRG3JdT8jQxqRp5u7du8e24ALS9YRerwEdlfMcrLeR0XJRIi5I5x+7beqkjT3sGkVUUn/Xy8tL6LgAsK+ZF7PZDCD7t3v37l3r597e3vnGzrNnz6JMmTLw8fFBixYtMGPGDFSoUAGHDh1CRkYGOnbsaF22Ro0aqFChAvbv3+/SRHrlypXx+++/F7jM/v37UaNGDZdt05WcynDt378f//3vf/H777/DZDKhWbNmeP/999G0aVO5yie7+vXr45tvvkG7du1QunRpxMfHY8OGDXjnnXcwfPhwFClSBD179ixwHTNmzMg1zxCQPcr91KlTLi/zmTNnAABXrlzBpk2bsj+cOPHh/1BaVmV//vknAOD69esPyi84207J9u3bH4ww01G9Ocr2plJ0dLRuR9rKZcuWLbKt+++//wYAZGVlyRYb7ty5AyC7njdu3JhrChkpYbdv3z5rrHpoGf5/+9K/3bt3r7VTILrr168DyI6LFosl+0MdxYVr164ByH6zutbiuTTXX2Zmpn3ZHGyPUqJi8+bNKFmypFzFBCBvXACA27dvAwAOHTqUnTyToY1JcxsePXpUc21Bby5evAggO5mkx37esWPHAGTHB7aFRyNnbDh+/DgAm3qSoY1Jcfjy5ctsCy5w+fJlANnHVY+xwRkeHh4wm83YtGlTgY/+G5GccUHql3p6emLz5s3ZH+qkjUllv3fvnqHizcGDBwFk5xtEjwtSHWvxukMtN27cAADUqlXL7vMpU6Zg6tSpuZZv1qwZli5diurVq+Pq1auYNm0aWrdujRMnTiA+Ph5eXl4oUqSI3b8JCQlBfHy8S8vdr18/vPfee1iyZAlGjBiR6/tZs2bhxIkT+Oijj1y6XVdxOJF+/PhxdOjQwe4xiq1bt2Lfvn04ePAgateuLUsBHTF+/Hi75N3DjB07FuHh4QCAPn362H0XFhaGMWPGoGbNmujUqRPefvvthybSJ06ciNdff9369ytXrqBWrVpo06YNwsLCHN8RB61btw4AUKdOHXTr1i37w9atgf+/cMlTvXrA7t0uL0thSD9MLy+vB+UX3L///gsg+055jx49Hnyho3pzVFZWlvX/27Zty87v/8vIyMCWLVvQqVMn2V4EKj0eVaRIEdlig+2d7g4dOtg9Rmg2m5GZmQkA6NatG4oXL/7wMthsf+7cuThz5gxq165tmNjwxhtvAMj+rbRo0SL7Qx3Fhd9++w2//vorKlSooLk6k27iFStWzL5sDrZHPz8/JCYmokWLFqhWrZosZVQiLgAPRmlFRESgYcOGsrSxjRs3Yvv27QgLC9NcW9Cbw4cPA8iO6Xrs5wUGBgIwVj/P1ZSIDTExMQCA8PDw7HqSoY1JI6gDAwPZFlxg9uzZAICmTZvqMjY4w9fXF0lJSWjZsiWqVq2qdnE0QYm4cPbsWQDZfSC9tTFpcEdGRga6du2q+xfFO+rKlSsAgHLlyumuzpz166+/YsuWLZq87lCLVP+nTp1C2bJlrZ/nNxq9a9eu1v+vV68emjVrhooVK+LHH39UdADkm2++iTVr1uC5557DihUrrPnct956C/v378e+ffvQoEEDjBkzRrEyOcPhRPqHH36I1NRU/Pe//8Urr7wCAJg/fz7effddzJw5E99++61shXyYr776yvp4oiOefPJJayI9Px06dECVKlVw/Phx3L17t8D5e3I+NiElmjw9PWU5yUlv0vb393+w/vR0oKAX9KWnAzJepDtDmucuNTVV1sSBlkjJRR8fH/t91lG9OcPLywvp6enIzMw0TB07Sq64ADx4tMuunbm4jUkJEgC56leKTUD279yhMthsXzp5Z2RkGKbdSKPwHT5e0vcaOT5+fn4AtFln0u/B19fX8bhrc2x9fHyQmJioSByTMy4AD54UsrYzGdqYltuC3igRy+Uk9fPS0tLYFh6REn0Ga4yUoY2xLbhWrlgO6Co2OMPHxwdJSUm8lsiDnHFBumb19vbWXRuzvUaxWCy6f7+No6QpTvz8/HRXZ85iXzM3aTq9wMDAh845npciRYqgWrVqOHfuHDp16oT09HTcuXPHblR6QkJCnnOqP4qAgADs3r0bY8aMwY8//miNPbNmzYLJZMKAAQOwYMECzU7t5XAifffu3Xj88cfx7rvvWj+bNm0aduzYgZ07d8pSOEdJ80K5WokSJXDu3Dncu3evUI1SLlLiRa9TZhjxJRFGeTmQxMfHB+np6YaqYy1Q4mUznp6eMJlMsFgsuer3UV9QxJeN6o+W4/mjxl0t75uz+LJRfdF7n4FtQR/4slH90XtscAbbjjr0/OLKnC+p1WoCztX0XGfOYlxwveTkZJw/fx5Dhw5F48aN4enpia1bt6Jfv34AsqeVvnjx4oMnp12oaNGiWL58OT799FP8/vvvuHXrFoKCgvDYY48hJCTE5dtzJYcT6QkJCRg4cGCuz5s1a4YDBw64tFBakJKSgpMnT8Lf319zU1PovRNlxACo9zpzlo+PD+7evWuoOtYC6XjL2XE0mUzw8fHB/fv3c9Wv7YtGC/OSWcYG/ZHKfb+gUS8qkcrERLoy7Uyk46U2UeIC24K2KdFnYFtwLb3HBmew7ahDibggl5yDfYKDg9UukiL0XGfOYlx4dG+88QZ69OiBihUr4t9//8WUKVPg7u6OQYMGITg4GCNHjsTrr7+OYsWKISgoCK+88gpatGjh0heN5lS8eHF06dJFtvXLwe3hi2TLyMiwPp5ny9/fX7dvzE1KSrK+nM/W/fv3MWrUKCQlJWHAgAGFSgjJSe+dKCOPOtVrnTmLJzl1KDHqFMi/fjkC2Hl6jw1arjO2x2yZmZnWKRyYMNMHxgVSAkek6w8TZiQ3PY9ulgb7AMZqN3rvMzjDiPXrapcvX8agQYNQvXp1DBgwAMWLF0dMTAxKliwJAJgzZw66d++Ofv36oU2bNggNDUVUVJTLy+Hu7m4320le3n//fc3lYiXaLJVCbt68iRo1auCxxx5DzZo1ERoaioSEBPz222+4fPky6tati48//ljtYuai92ApldtsNsNsNmv2x+FKeq8zZ/Ekpw6lOr9MpLuG7ctZ9RobtFxnbI/ZbKdcYiJdH/SeLJPaQlpaGiwWi2Fe+KY3So5It41DVHh6TnI6i+cUdSg1KEcu+T01KzIj5RkYFx7dypUrC/zex8cH8+fPx/z582Uth8VigcVicWg5LXIqg/ndd99Z3/AuOXfuHADk+dZck8mEjRs3PkLx5FWsWDGMHj0aBw8exKZNm3D79m34+vqiZs2aePXVVzFmzBhNzlsryhzpQPbJmol08fAkpw6lki8PS6QXdvtGaze2+6nX2KDlOmMiPdujvrvAUaIcLy3Qe58hZz9Pr/shOo5I1x+9xwZnsO2oQ5QbuUZqN4wLJKrr169rNufpVAbz3Llz1sR5Tj///HOuz7Q+AiUoKAiff/652sVwmt6Dpe2JOTU1Ff7+/iqWRhl6rzNn8SSnDrVHpD/q9rU837YcbPeTFyyux0R6Nul3aTKZZL1xLcrx0gK9jzrN+cI3ve6H6DhHuv4Y6XqCbUcdopx/jNRu9F5nzjBi/Yrk22+/tfv70aNHc30GZE9LeenSJXz77beoU6eOUsVzisNXVLGxsXKWg5yg906Uu7s7PD09kZGRYZggqPc6cxZPcurQyoj0wrZzo70/wba+3NwcfmWJpmj5t85Eejbb4yDnAAdRjpcW6L3PkPOFb6RNSkzhwGl+XMf296TXm+/O4DlFHXpvY0ZsN3qvM2cYsX5FMnz4cGs/wGQyITo6GtHR0bmWk6Zz8fX1xdSpU5UsosMcTqRXrFhRznKQE/R+gQVkl92IiXStPpriajzJqUPtEelMXDpHlFgOaLPO2B6zqf0SYnKe3mOD9MI3o81TqzdKTu0ibU+vbVoLMjIyrP9vhOPIc4o69D662YjtRu99BmcYsX5FsmTJEgDZifJnn30WvXv3Rq9evXIt5+7ujmLFiqFFixYoWrSo0sV0iPiTUwtI73OkA9lBMCkpyTBTOBjpBAfwJKcWvY9IN1q7ESEuaLnO2B6zqR0XyHmixAYm0rVNyaldpO3puU2rTYT3qjiD5xR16H10s1RuI7UbEfoMjmJc0Ldhw4ZZ/3/nzp3o06cPevbsqWKJCo+JdB0SIVgaLQiKUGfOMFr9aoXaI0/5slHniBAXtFxnTKRnU/tJFXIeYwMpQYnY4OHhATc3N2RlZbEtPCLb46fXJKczGEPUodS1hFyM2G5E6DM4yoj1KyppdLpeMZGuMxaLRfePXAHGC4JGOsEBxqtfrVA7YcaXjTpH2k89xwUt/9aZSM+m9g02cp4IfQa2B+1TYuSpyWSCt7c3n05wAdv6MsJc84wh6tB7nsGI7UbvdeYMI9avEWRmZuLGjRvWtpxThQoVFC7RwzGRrjO2jUvPwdJoQVCEi2JnGK1+tULtKRz4slHniPDuBC3/1plIz6bU+UeU46UFen+0HmB70AMlb74zkf7oRIgLzmAMUYfe25kR243e68wZRqxfkR06dAiTJk3Crl27kJ6enucyJpMJZrNZ4ZI9HBPpOmM7UpPJF/1gIp2UoPaIdCYunSNCXNBynbE9ZuOIdP1hbCAlqH3znZxjpFGnANuNWvTezozYbkToMzjKiPUrqqNHj6J169bw8PBA586d8dNPP6F+/foIDQ3F4cOHcf36dbRr1w4VK1ZUu6h5clO7AOQcKWi4ubnBw0O/90GMFgRFmMLBGUarX61Q+6KYiUvniNDxta0zi8WicmnssT1mUzsukPP0nsgA2B70gDfZ9EWEPoMz2G7UoffRzUZsN0aKDUasX1G9++67AIADBw4gOjoaANCnTx9s3rwZcXFxePHFF3HixAlMmTJFzWLmi4l0nbENlHqeH89oQdBIJzjAeHNda4VWRqTzZaOOESEuSGXPysrS3GN3TKRnUyMuaO2mit6IFBv0/vsRmdp9BnKOCHHBGWw36tD7jVwjthsjxQZpH81ms+auO8g5e/bsQc+ePVGzZk3rZ9L1g6+vLz7//HOUKVMGkyZNUquIBWIiXWdECZRGO8mJUm+OMlr9aoXaI09d9bJRo7QbEeKCbdm1Vm9MpGdTetSpFm+q6I1IsUHvvx9RZWVlISMjAwBHpOuF3kcKO4vtRh1K9RnkYsR2o/ebH86w3cf8XkxJ+pCYmIjKlStb/+7p6Ynk5GTr393c3NCuXTts3bpVjeI9FBPpOiON8NXz/OiA8U5yIlwUO8No9asVSifMcnZgXJW4NMqTDCJM+WTb1rT2e2ciPZvSLxu13SYVjgh9BlF+P6KyPX9zRLo+GClZBrDdqEXvN2yM2G70XmfO0PJ1BzmnVKlSuH37tvXvoaGhOHv2rN0yqampuHfvntJFcwgT6TojwsUVYLyTnCj15iij1a9WqP2Y9qO2c+kGoVHajbSfer4x6ubmBi8vL2PJAlEAAQAASURBVADaqzcm0rMpdYONFzeuI0KfQZTfj6hs64Uj0vVBhLjgDLYbdej9ho0R242RYoOHh4f1PYFGqmMR1apVC2fOnLH+vVWrVvj111+xf/9+AMBff/2FH3/8ETVq1FCriAViIl1nRAmURjvJiVJvjjJa/WqF2lO7cI5054gSF7Rab0ykZ1MqLphMJus29H7M1CbC6DJRfj+ikpJlbm5u1qSEXNgWXEOUPoOj2G7Uoffzj9Haje1c4YwNpCdPPPEEdu3ahatXrwIA/vOf/8BiseDxxx9HyZIlUbduXdy5c4dzpJNriNKJMloAFKXeHGW0+tUKpUaR5Jcsc1Xi0igvkBElLmj1985EejYlR5eJcszUJkJsYFvQNttkmclkknVbbAuuIUJccAbbjTo4Il1flJymSyuMVseievHFF3HlyhUUL14cAFC/fn1s3boVXbp0QYkSJdCxY0f89NNP6NOnj8olzZu8QxDI5ThHuj6x80tKUHtEuqteNiqtS+5RcmoTJS5o9ffORHo2JV8c5uPjg8TERN0fM7WJEBtE+f2ISum4ALAtPCq9jxR2FtuNOvTezozWbmwT6XqtM2cZrY5F5enpiZCQELvPWrZsiY0bN6pUIudwRLrOiHBxBRh3LmS915ujeIJTh97nSLf9d0Z44agILxsFtPt7ZyI9m5LnH1GOmdr0PiIQYFvQOjWeVMn5gnJyjghxwRmMIepQ8iabHIzWbqT9dHd3F34AksRodSyq6dOnY9euXQUus3v3bkyfPl2hEjmHiXSdESUha7QAKEq9Ocpo9asVao9If9R2ruUXV8pBhJeNAtr8vbtizkgt7ldhcOSp/ojQZ2Bb0DYlR52yLbiGCHHBGWw36tD7DRuj3bgzWlwAGBtEMXXqVOzYsaPAZXbt2oVp06YpUyAnMZGuMxzBqE9GO8kZrX61Qisj0h/lwtxIbUeUuKDFOrO9gCrsjQot7ldhMGGmPyLEBrYFbeO7E/RHhLjgDLYbdXBqF30xWlwAjFfHRpaeng53d3e1i5EnJtJ1hiMY9cloJzmj1a8WWCwWxUaeyjVHekHrFpEocUGLdWZblsL+HrS4X4XBhJm+2MZyPccGtgVt4w02/dF7gtNZbDfq0Pv5x2jtRpRrCWcYrY5FVtDLztPT07F7926UKlVKwRI5zhgTKQlElGBptAAoSr05ymj1qwUZGRmwWCwA9Du1S0HrFpEocUGL77yQyuLp6VnokQy2bdFisRTY2dMyTu2iL7ZPU+g5NrAtaBtvsOmPKH0GR7HdqEPvN2yM1m70fuOjMIxWxyKpXLmy3d/nzJmDJUuW5FouMzMTN27cQGpqKkaNGqVU8ZzCRLrOiNKJMloAFOVJAkcZrX61QMnkCxPprsF4Lh9XtkWLxYKMjAzr/P16w5eN6osrnqbQArYFbeOIdP0xWsJM2s/MzEyYzWbDvEhRbXpvZ0aLN3q/8VEYRqtjkWRlZVkHJplMJlgsFutAQFuenp6oXbs22rdvj8mTJytdTIfwjKQzos2RLu2PyFzx0ju9EWUkp54omXxRIpFuhNggWjzXUofWlW1RWp9eE+kcka4vtsdOr20OYFvQOsYF/RHl5rujcp6DAwICVCyNceg9MWu0eGO0uAAYr45FEhcXZ/1/Nzc3jBs3Du+88456BXoETKTrjCgjm40UAEV5TNsZ0n5mZWXBbDbD09NT5RKJT2pnnp6ecHOT9/UXcr5sVIvThMiF8Vw+rriwsG3HqampCAoKeuRyqYEjT/XFtu3q+SY024K2cWoX/TFawiznOZiJdPmZzWZkZWUBYCJdL4wWFwDj1bGoYmNjUaRIEbWLUWhMpOuMKMHSSAFQlMe0nZFzFAkT6fJTK1lm+8QBXzbqHMZz+bji2JpMJnh7eyMtLU1T++YsJsz0Re+P1UvYFrRNyT6DtA22hUej95HCznJ3d4enpycyMjLYdhQiwuAvo517RLmWcIbR6lhUFStWzPWZ2WzG8ePHAQB16tTRdA5J3mGL5HKiBEsjBUBXvPROb3KOIiH5qZEsA7LfqC3hHOnOYTyXj6uOrRb3zVmcwkFfGBdICbzBpj+i3GRzBtuOskQY/JVzsI/oGBdIT2JjY/HNN9/g77//zvXdhg0bULZsWTRp0gRNmjRB6dKl8eOPP6pQSscwka4znFNXf0SpM2e4ublZ53Y1Qh1rgRrJMuBB/ZrNZmRmZub6vrDrNkK7YcJMPkykP8CXjeoL4wIpgVM+6Y8oscEZbDvKkq4lPDw8dDv4K+eL4kVntCdVAMYFPVu0aBFGjRqVq72eO3cOAwYMwPXr11GhQgXUrFkTt2/fxpAhQ3DkyBGVSlswJtJ1hnPq6o8RO76AsepYC5TsSNm+AE/arm09M5HuGFFigxbrjIn0BzgiXV8YF0gJHJGuP6LEBmew7ShLhKSs0Z6KZlwgPdmzZw8aNGiQa1qXefPmITU1FS+//DJiY2Nx4sQJrFmzBpmZmfj8889VKm3BmEjXGVGCpZECoCh15iwj1bEWKHlRbDKZctWvqx4HlW4SSk9yiEzaR94YdT0m0h/gyFN9EaXPwLagbYwL+iNCktNZbDvKUvLGu1yYSBcf44J+xcbGomnTprk+//nnn+Hl5YUPPvjA+lnv3r3RunVr7N69W8kiOoyJdJ0RJVgaaf4yUerMWTzJKUvpC6yc9euqx0GN0m4yMzOtj5zqPTZosc6YSH9AjZGnRrgRJhdRkmUi/HZExidV9MeI1xNsO8oSYb5t6UXxgDHaDeMC6cn169dRokQJu89u3bqF8+fPo1mzZggMDLT7rmHDhrhy5YqSRXQYE+k6I8p821L5s7KyYDabVS6NvIx4ggN4klOa0p3f/EakM3HpGKm+AP3HBi3WGdvjAxx5qi+i9Bmk8qelpQk/YEKPOLWL/oiQ5HQW246yeCNXfxgXSE88PT1x8+ZNu88OHToEAGjSpEmu5f39/RUpV2Ewka4zos2RDogfBEW5KHYWT3LKUntEOhOXznHVVDhaoMU6Y3vMZrFYmDDTGVH6DLblt71xSNrAG2z6I0pscAbbjrJEScoaqd2IcvPDGUaqX9FUq1YNW7dutfvs119/hclkQsuWLXMt/++//6J06dJKFc8pTKTrjCidKCPNXyZKnTmLJzllcUS6vkj75+HhAQ8PD5VL82i0OJ2Hq57e0nt7NJvN1tHATJjpg2iJDIDtQYt4g01/jHg9wbajLFGSskZqN4wLpCf9+vXD2bNn8eKLL+LYsWNYvXo1Fi5ciICAAHTp0iXX8nv37kXVqlVVKOnDMZGuM6IESzc3N3h5eQEQPwiKUmfO4klOWUq/ICi/RPqjbl+LSVk5iDJNF6DN3zpv7GRT+skHvR8vLRClz+Dp6QmTyQSA7UGL1BqRzml+Ck+UJKczeE5Rlmg3co3QbkTpMzjDSPUrmtdeew1169bFwoUL0bBhQzz11FNISkrCtGnTck3j8scff+DcuXPo1KmTSqUtmL6HwRmQaMmX9PR04YOgEU9wAE9ySlN7ahdXdb6laatEbzeiTNMFaPO3zkR6NtspNZhI1wdR+gwmkwk+Pj64f/8+24MGqTEiHQDS09MNlQh2FaWn6dIKnlOUJcrNGiO1G1H6DM4wUv2Kxs/PD3v37sWcOXMQExOD4sWLo3///ujRo0euZQ8fPoxevXqhZ8+eKpT04ZhI1xnRki93794VPgga8QQH8CSnNE7toi8ixQUt1hnbYzbbKYTc3d1l357ej5cWiBYb7t+/zznSNUiNEelAdl9F70k6NaSnp1v/X4TY4CieU5Sl9NOtcjFSu+ENNtKbgIAATJ48+aHLPf/883j++ecVKFHhcGoXHRFtNILRRp6KUGfO4ElOWWqPSGfi0jkixQUt1hnbYza1b7CR80QZEQiwPWiZkgkzaSpHgG2hsGyPmwj9BkcxhihLlDyDkdqNSH0GRxmpfkm7mEjXEdsRPXo/wQHGCYIiJcycYZQbJVqhVsJM2q6r50gXvd2IFBe0WGdMpGdT+90J5DzGBlKCkn0GaZofgG2hsGyPm+2NCdGx3ShLlKSskdqNSH0GRxmpfpXw4YcfwmQy4bXXXrN+lpqaipdffhnFixdHQEAA+vXrh4SEBPUKqUFMpOuI7cv3RAiWRgmCRjzBAcapX63giHR9ESkuaLHO2B6zqR0XyHmMDaQExgZ9sa0v6SW+RsB2oyyOSNcfkfoMjjJS/crt999/x1dffYV69erZfT5u3Dj89NNPWLVqFXbu3Il///0Xffv2VamU2sREuo5IwcLNzQ2enp4ql+bRGSUIijSvvTOMUr9aofYUDq5+2ajtjUMRSfsnQlzQ4m+difRsascFcp4oiQyA7UHLGBv0RaS44Ay2G2VxRLr+MJFOhZWcnIwhQ4Zg0aJFKFq0qPXzxMRELF68GLNnz0b79u3RuHFjLFmyBPv27UNMTIyKJdYWJtJ1xDZQijAawShB0IgnOMA49asVSk/hIG2HI9ILR6S4YFtnFotF5dJkY3vMxlGn+iNqbCBtYWzQF5HigjPYbpQlyg0bI7UbUerMGUaqX2ckJSXh7t271j8Pe9H7yy+/jCeeeAIdO3a0+/zQoUPIyMiw+7xGjRqoUKEC9u/fL0vZ9YiJdB0RrRNllCAoWr05yij1qxVqXxQzcekckeKCtA8WiwUZGRkqlyYb22M2NUedauWmit6IGBv0+vsRGUek64tIccEZbDfKUnpQjlyM1G5EeYrAGVL9ms1mmM1mlUujHbVq1UJwcLD1z4wZM/JdduXKlTh8+HCey8THx8PLywtFihSx+zwkJATx8fGuLrZueahdAHKcSFMBAA+CoOhTOLDzK34nRgvUvijmy0adI1JcsN2H1NRUTbwIjYn0bGq9bFS6qaKFtqA3IsYGvf5+RKb2U2zkHCMmywDGEKWJ0s6kdvOwEbkiEKnP4CjbfU1LS4OHB1OaAHDq1CmULVvW+vf8fseXLl3C2LFjsWXLFkO1G1fjiHQdES1QGqVzJFq9Ocoo9asVao9Id1Ui3yjtRqS4YNvmtFJvTKRnUysu2G6bnCNSbND770dkavcZyDkixQVnsN0oS5RpQozUbowYG7R43aEFgYGBCAoKsv7J7/x+6NAhXLt2DY0aNYKHhwc8PDywc+dOfPrpp/Dw8EBISAjS09Nx584du3+XkJCA0NBQBfZEH5hI1xHRAqVRTnKi1ZujjFK/WqGVEemuSlyK/qSKtH8ixAWTyaS50YZMpGdTOi7w4ubRiTIiEND/70dUFotF9T4DOUeUBKez2G6UJcr5x0jtxoh5Bin5Cxijjl2tQ4cOOH78OI4ePWr906RJEwwZMsT6/56enti6dav135w5cwYXL15EixYtVCy5tvA5CB0RLVAa5SQnUsLMGUapX61Qe3SZq+KTNHVVeno6srKy4OYm5v1e6XiJNFVXWlqaZn7vTKRnUzouSDdVtNQW9Eakvp7efz+iysjIsL7DgCPS9UGkuOAMthtliXLDxkjtRpQ6c5aPjw+Sk5MNUceuFhgYiDp16th95u/vj+LFi1s/HzlyJF5//XUUK1YMQUFBeOWVV9CiRQs0b95cjSJrEhPpOiLqHOmiB0B2fsWuX61Qe3SZqxOXQPY+iRLvchItLvj4+CAxMVEzv3cm0rOpcYGltZsqeiNSbND770dUtvMGc0S6PogUF5zBdqMsjkjXF7PZjMzMTAD6rzNnMZEurzlz5sDNzQ39+vVDWloaIiMjsWDBArWLpSnCDfU7evQoJk2ahMjISJQsWRImkwnt2rV76L9bvnw5mjZtCn9/fxQtWhTdu3fH4cOH5S+wE0TrRBnlJCdavTnKKPWrFWq9VFCul43arlNEosUFrf3emUjPpnRcAPR/zNQm0ugytgVtsq0PpV4IzLbwaERJcDqL7UZZavQZ5GCUdmO7fyL0GZxhlDpWyo4dOzB37lzr3318fDB//nzcunULKSkpiIqK4vzoOQiXSF+3bh1mzJiBHTt2OFzZ77//Pp5++mlcu3YNL774Ivr3749du3ahZcuW2Lt3r8wldhwTL/okWr05yij1qxVqT+3iquSPh4cH3N3d7dYtItHigtZ+70ykZ1Mj+aL3Y6Y2kWID24I2SedrLy8vxaZPY1t4NCLdYHMG242yRGlnRmk3tvun95sfzjJKHZN2CTe1S//+/dGzZ0/UrVsXN2/eROnSpQtc/uzZs5g6dSqqVauGgwcPIjg4GAAwevRoNG/eHKNGjcKJEyc0MU+vSBdXgHECoGj15iij1K9WiDK1i7SOlJQUoduOaHFBS79320ddjZ5IV2tqF0C/x0xtIsUGtgVt4pMq+iNSXHAG242yRHnywSjtRto/T09P6yAkozBKHZN2qZ8ddrHatWujUaNG8PT0dGj5JUuWwGw247///a81iQ4ADRo0wKBBg/DXX39hz549chXXKZwjXZ/Y+RW7frVC7RHprmznUoyTYp6IGM/l48pHXbW0X4XBEen6I1KfgW1BmxgX9EekuOAMthtlcUS6vohSX4VhlDom7RJuRLqzduzYAQDo3Llzru8iIyOxdOlS7Ny5E23atMl3HWlpaXYv7klKSgIAZGRkICMjw2VlTUlJAZD9KGau9Xp5AQUlZLy8ABeWxRWkmx337t1z6XHSGinAu7u7C1FvjrKdnkPk+nWUdAzkOhZSDMrVzmRqYx4e2aeP+/fvIyMjw5oY9vDwcK6d57F9qXOUnJwsbNsp9PGSvtfYcZESMlqoM+kcDABubm6P1B7ljmNyxwWpnXl6eioSFwBttQU9yrfPoMO4YJR+nhzkjA3S9YSPj49ibYxt4dFIdZYrlgO6jA2O4rWEPaX6DHo//+S8RhGV1N/19vY2VFwA2Ne0ZTab1S6CIRk+kX727FkEBATkOZ96eHi4dZmCzJgxA9OmTcv1+a5du3Dq1CnXFBTAyZMnAQDx8fHYtGmT/ZcTJz58BTn/jcrOnDkDALh06VLu/RGI1PmNiYlBbGys/Zc6rDdHXb58GUD2SV7k+nXWli1bZFmv1M7279+PuLi4B1/I1Mak3+/t27exadMmXLt2DQBw7NgxawfW4TLk2L40Lcf27dtx9epVp8umB1euXAEAnD59Woh4LnXmDx48CH9/f1XLcuPGDQDZF1K//PJL7gWcaI+3b98GkH0Rv3HjRphMJpeV05ZccUHqv1y4cMG+ncnYxmxjkdEeNX5UmZmZ1vi3a9cuBAUFPfhSh3Eh3/ZHDpMjNpw+fRpA9sW3UnHh0qVLALL7DmwLzvvrr78AAP/++68QfQZH3bp1C0B2QpTt5gG5+gxSn+fIkSP2T4XqrI0dP34cQHZ/UOR2c+7cOQCAxWIxVFwAshPoAHDgwAFDjsi3JV33kLIMn0hPTExEqVKl8vxOuoBJTEwscB0TJ07E66+/bv37lStXUKtWLbRp0wZhYWEuK+vOnTsBANWrV0e3bt3sv2zdGjh2LP9/XK8esHu3y8riClLiJSgoKPf+CMJisVjvknbp0iX3nP06rDdHSclcs9ksbP06IyMjA1u2bEGnTp0cnnrKGdLd6C5duqBs2bIPvpCpjZUpUwZA9ojfbt26YcKECf+/udZo27at/cIFlSGP7RcrVgxXr15Fw4YNERER4XTZ9ODDDz8EADRv3lyIeL548WIcOXIk7/OTwqQLC19f37zL4kR7vHPnDoDsWN6pUyd4eXm5tKxyx4XVq1cDAOrWrWt/LGRsYwsWLMDJkydRs2ZN1duC3kgXhgDQo0cP+5tSOowLN2/eBAAUKVKEbcFJcsYGPz8/ANnnWqXiwokTJ/DDDz8gNDSUbaEQfv31VwDIO67qMDY4SkqkZ2VloXPnzrkHahiM3H0G6fi2a9cOjRo1evCFztpYsWLFAGQ/wSFyvNm3bx8AoGjRooaKCwCwcOFC/Pnnn6hRo4bQdewIaXAWKUuTZ6Px48fbTZXyMGPHjrWOHleDt7e33TyDd+/eBZAdvF15kpOOSUBAQO71pqcDBc0nnJ4OyHDCfRQBAQEAsvdLjs6AFmRkZCArKwsAEBgYKES9OSowMBBA9khODw8P2UZy6o2r4wKQPYpRSqTnig8ytTHb+vX09Cx8fMpj+9K84WazWdjYIFo8lxIzGRkZqteZNKLX19c377I40R6ldi6tV659kyMuAA8e//b391ckLgDG+P3KRWq7QHZssEsa6TAuGKGfJzc5YoPUX/Dx8VEsLkg3hdLT09kWCiE9PR1AHrE8+0vdxQZH5TwHi/JemUclV59BmlpMyT6DHKRzj3SNIiqpz5ArlgO6qzNnaem6Q21Gv8GoFk0e9a+++sr6aLAjnnzyyUIn0oODg/MdcS4lxG1fQqom0V40I3WGRH5JhCtfeqc30v5Ko/JdPZKTHrC98SjCy0aN8AIZxnP5uPLY2v6eUlNT7afa0AG+VFBfpFju4eEhxIUR24I2Se2McUE/ROszOCrnOVhKkJI8RHl5pVHijVHjAmCcOibtclO7AHlJTk6GxWJx+E+7du0Kva3w8HAkJycjPj4+13fS3I5qjna3JVqwNEIAtN03JS9YtMC2nYpcx1pgm0hXKj7Y/n4tFotL45OUlL1f0EgKnZP2TZTRVVqK565siyaTyRq7tbBvzlLjolhLbUFv2M8jJTAu6I8aN0W1wN3d3TralG1HfqK0M6PEG1HqqzCMUsekXZpMpCtJmstXmnvOlvSSslzz/aqEF1j6I+2bl5cX3NyM9XPLOYqE5CMdX5PJpNgoxpxPHLiyM2ek2MB47nquPrZa2jdnceSpvjAukBL4pIr+iBYbnMG2owyLxWKdQkjv7SznYB9RMS4wLpB6jJXZy8OIESPg4eGB999/326Kl6NHj+L7779HzZo18fjjj6tYwgc4glF/pH0Tpc6cofeRnHpiO7pMqbnobTtt9+/fd+kINyPFBlE6v1qqMybSH1Cjnen5eKmNcYGUwBHp+iPKlBuFwbajDDWmiZSL1GaysrKs74QQkWh9BmcwLpDa9D8BYw6nT5/Ghx9+COBB4vn06dMYPny4dZmlS5da/79atWqYOnUq3n77bdSvXx/9+vVDUlISVq5cCQBYtGiRZkYSixYsjRAARaszZ/n4+CAtLU3oOtYCNUaX2W4rOTnZ+lJdJtIdI1ps0FKdMZH+AEek64toj2mzLWgTR6Trj2h9BmdI+2yb6CXXEzGRDoj9wlHeYOM5hdQjXCI9Pj4ey5Yts/ssISHB7jPbRDoA/Pe//0VYWBjmzp2LL774Al5eXmjdujXeffddNGrUSIliO0S0TpQRAqBodeYsHx8fJCYmCl3HWqBGR0p64iAtLQ137tyxfs5E+sO5ek55LdBSnTGR/gATZvrCuEBK4Ih0/RHtJpsz2HaUYZtI9/LyUrEkjy7n9KKBgYEqlkY+ovUZnMG4QGoTLpHerl27Qs2FNWTIEAwZMkSGErmONMJelGAp7cf9+/dhsVgUm5JCSUY+wQE8ySlFrQss6YkD20S6K8og+stGbS9WRJn2SUu/dSbSH2DCTF9E6zOwLWiTmk+xsS0UjmixwRmMI8qwjQt6vyZ3c3ODl5cX0tPThW43vMHGuEDq0cacJeQQ0ebbtu0MSi83EY2RO74AT3JKUWP6BuBB/Urvl/D09HTJVFiitxvb/RIlNmipzphIf4BTu+iLaH0Go7zwTW8YF/SHUziw7chNtDZmhHYjWp/BGUaoX9I2JtJ1RLRgmXP+MhGJ9hSBs3iSU4Zand+ciXQmLh0j7Zebmxs8PMR4MExLdcZE+gN82ai+iJrIAMQdMKFHfFJFf0S7BnQG244yRBvdbIR2w7ggdv2StjGRriOiBUvb+ddEDYKi1ZmzeJJThppTuwCwTu3CxKVjbOOC3h+flWipzphIf4AjT/VFtD6DEQZM6BHfnaA/osUGZ7DtKEPUG7kitxvR6swZRqhf0jYm0nVEtNHNJpNJ+CBo5I4vwJOcUtTqSEkX4UykO0fEuKClOmMi/QEmzPRFtNjg6elpvVnI9qAdao9I5zQ/zhNttLAzeE5RhlrTRMrFCO1GtD6DM4xQv6RtTKTriGhzpAPiB0Ejn+AA8etXK7QyIt1V2xe93YgYF7RUZ0ykZ8vKykJGRgYATuGgF6LFBiMMmNAjNW+wZWVlwWw2K7ZdUYgWG5zBGKIM0W7WSO1GukEgItHqzBmMC6Q2JtJ1wmKxCPn4juhB0MgdX0D8+tUKtedId/WIdOlmofQUjmik/RLxpqgW6szVT2/pNY7ZzknNEen6IOJFMduD9qg5Ih1gW3CWxWKxxnMjXk8whihDtDyDEdqNkfMMRqhf0jYm0nXC9m6qSMFS9CBo5BMcIH79aoXaI9L5slHniBgXtFRnHJGezba8HJGuD4wNpAQ1+gy222JbcI6o14COYgxRhmg3co3QbkTsMzjKCPVL2sZEuk7YjvITKViKHgSNfIIDxK9frVBrXkO+bLRwRIwLWqozJtKz2SZfPD09FduuXo+XFjA2kBLU6DO4ubnBy8sLANuCs2yPlyhJTmcwhiiDI9L1R7Q6c4YR6pe0jYl0nZCChJubm6IXxHITPQiKeFHsDNHrVytEm9pF9HYjYlzQUp0xkZ7NdnSZ9MJHJej1eGkBYwMpQe0+A9uCc2yPl3QzwkjYbpTBEen6I2KfwVFGqF/SNibSdcI2UCp5QSw30YOgkU9wgPj1qxVqT+3Cl406R8S4oKU6YyI9G5Nl+iPi6DK2B+1Ru8/AtuAc27gg0jWgo9hulKHW061yMUK7Ee3mhzOMUL+kbUyk64SIiRdA/CAoar05SvT61Qq1E2auniOdLxvVH9vfusViUbUsTKRnU3vKJ70dLy0Qsc/A9qA9avcZbKedoocTMS44gzFEGaLdyDVCuzFybDBC/ZK2MZGuE1LiRbRAKXoQNPIJDhC/frVC7dFlnNrFOSLGBdt9SU9PV7EkTKRL1GpnWrqpojcixwa9/X5EpnafgW3BOSLGBWew3ShDtNHNRmg3Ro4N0j6bzWaYzWaVS0NGxES6TkiBUqQRjID4Jzkjn+AA8etXK9QeXcbEpXNEjAu2+6J2vbE9ZlN7RLrFYkFGRoai29Y7EWOD1P709vsRmVb6DOQY0RKczmK7UQZHpOuPaHXmDNt95lNOpAYm0nVCxIsr4MGNAVFPcqLWm6OM0InRArVHl+X390ddr6jtRsS4YPsCNLXrjYn0bFqIC3o7ZmoTMWGm19+PyNSODWwLzhGxz+AMthtliHb+MUK7MXJssG2nItcxaRcT6TohaqAU/SQn6pMEjhK9frVC7ZGnEjleNiri1BAixnOTyaSZ3zsT6dnUGqnEi5vCEzE26PX3IzK1+wxsC84x8qhTgO1GKaK1MyM8DSXazQ9neHh4wMPDA4DYdUzaxUS6TnCOdH0S8aLYGaLXr1ao/Zh2fn9/1PWKOjWEqHFBK793JtKzqXWBZTKZDHEBKwcRY4Nefz8iU7vPwLbgHBHjgjPYbpQhWlLWCO2GsUH8OibtYiJdJ0Qd2Sx6AOQJTuz61Qq1H9PO7++FZRvnpJuIIpH2ifFcHkykZ1NzdJlej5naROwzsC1oj9p9BrYF54iW4HQW240y1HpSRS6itxuLxSJkn8EZotcxaRsT6TohaqAUPQCKWm+OEr1+tULt0WX5/b2wPD09YTKZAIjZdkSNC1r5vTORnk3Ni2K9HjO1ifZoPcC2oDWZmZkwm80A1Jv2iW3BOaL2GRzFGKIM0c4/orcbs9lsnf5SlDpzluh1TNrGRLpOiNqJEj0AilpvjhL9ZbJaofboMomrtq+l+bblIGpc0EKdyTFCRwv7VRhqjmLU6zFTm4ixgW1BW6RkGcAR6XohYlxwBtuNMkR78kH0dmO7X4wNYtYxaRsT6Toh+hzpIk7fALDzyxOcMkQbkW67LhHbjqhxQQt1ZjabkZWVZVeeR6WF/SoMTu2iPyLGBrYFbbFNpHOOdH0QbaSws9hulCFaOxO93djul5eXl4olUY/odUzaxkS6TnCOdH0S9QaIo0SvX63Qyoh0JtIdI2KyDNBGnckxQkcL+1UYHJGuP6KNCATYFrRGqgc3Nzd4eHgoum22hcIRtc/gKLYbZYh2/hG93Uj75eXlBTc3Y6b0RK9j0jZj/up0SNROlOgBUNR6c5To9asVas2FLGciXbppKOLTKnzZqHxst+2q34MW9qswOCJdf0TsM7AtaAvfnaA/oiU4ncV2owyOSNcXEfsLzhK9jknbmEjXCVGDpegBUNR6c5To9asVnNpFX0SNC1qoMzlG6Njul/RiJz1gwkxfLBaLcIkMgG1Ba3iDTX9E7TM4iu1GGWr2GeQgersRsb/gLNHrmLSNiXSd4AhG/ZHjpXd6I3L9aolWpnZx5fZFbjuixgUt1Jkcx1Zal8ViQUZGhsvWKzc1RzHyRdPOU3PuajlpIS7QA5zySX+MnjCT9ttsNsNsNqtcGnGJ9uSD6PFG1GsJZ4hex6Rtyk6OZzDbtm1DaGioS9Z17tw5AOIFS5EDYHp6uvX/Ras3R+UcyWkymVQukZg4Il1fRO38aqHO5EykS+vXy0udOPJUX+SY318L2Ba0hXFBf0TtMzjKdr/T0tIUn9vfKES7YSN6vBHtxkdhiF7Hcvniiy/wxRdfIC4uDgBQu3ZtvPPOO+jatSuA7OM5fvx4rFy5EmlpaYiMjMSCBQsQEhKiYqm1h2ciGY0cOdLl6/Tz83P5OtUkcgAU9aLYGTlHcuolAaU3WhmRzkS6Y0S9KNZCnclxbG1/V6mpqQgKCnLZuuXEkaf6YjsiXaRzJduCtjAu6I/RE2Y5z8H+/v4qlkZcorUz0eONqNcSzhC9juVSrlw5fPjhhwgPD4fFYsGyZcvQq1cvHDlyBLVr18a4ceOwceNGrFq1CsHBwRgzZgz69u2LvXv3ql10TWEiXUZ169Z16cmoePHi6NOnj8vWpwUiB0DbfRLpotgZeh3JqSdqzqvLRHrhiNr51UKdyXFsTSYTvL29kZaWpqv2yJGn+mLbdkV6eottQVsYF/RH1D6Do9zd3eHp6YmMjAy2HRlxRLq+GD0uAOLXsbOSkpJw9+5d69+9vb3zzEX26NHD7u/vv/8+vvjiC8TExKBcuXJYvHgxVqxYgfbt2wMAlixZgpo1ayImJgbNmzeXdyd0hIl0Ga1fvx5hYWFqF0PTRA6Aol4UO8M2ca6nkZx6YjuFkEgj0qU5li9duoR//vnHZevVgpSUFAB854Uc5Lqw8PHx0W0inSNP9UHUi2K2BW3hiHT9ETU2OMPHx4eJdJlxRLq+iHbjozBEr2Nn1apVy+7vU6ZMwdSpUwv8N5mZmVi1ahVSUlLQokULHDp0CBkZGejYsaN1mRo1aqBChQrYv38/E+k2mEgnVYkcANnxzR7J6ePjg9TUVCHrWAtspwNQO5Eux8tG33nnHbzzzjsuW6+WiHKxItHCCyalbbv6JoWPjw8SExN1FceYMNMX0ZIYErYFbdHCDTbbfgs9HBNm2fuelJTEOCIjNWODHKTfS2ZmJsxms3Bz6zPPwP5FTqdOnULZsmWtfy/ot3z8+HG0aNECqampCAgIwNq1a1GrVi0cPXoUXl5eKFKkiN3yISEhiI+Pl6vouiRWRCHdETkA8gSXjYl0eamZSM+5PVe29b59++KXX34Rtt00bdoUFSpUULsYLqWFeC7niHTb9esBp3DQF1H7DGwL2sK4oD+ixgZnsO3IT7QbNqK/pFbUm+/OYFywFxgY6PDT/9WrV8fRo0eRmJiI1atXY9iwYdi5c6fMJRSLWBGFdEfkAMiObzaR61gLpOPq6ekJNzc3Rbft5uZmnbcScH0ivW/fvi5bH8lPC791JtIf4Ih0fRG1z8C2oC2MC/rDhBnbjtzMZjMyMzMBiNPORH9Jrah9BmcwLhSel5cXqlatCgBo3Lgxfv/9d8ybNw9PPfUU0tPTcefOHbtR6QkJCQgNDVWptNqkbNaFKAfbxzwtFovKpXEtnuCy8SQnL7VHkNhu1+ht3ei08FtnIv0BjjzVF1H7DGwL2sK4oD+ixgZnsO3Iy/bpVlHamfSSWkDMdsO4wLjgSllZWUhLS0Pjxo3h6emJrVu3Wr87c+YMLl68iBYtWqhYQu3hiHRSle08tmlpaUKdDHiCy8aTnLzUHqkkzVupZhlIG7TwW2ci/QEtzIWsp+OlNrVvisrFti1YLBbDvnxdKzgiXX9EjQ3OYNuRl+1xFakvL/JLahkXGBcKa+LEiejatSsqVKiApKQkrFixAjt27MAvv/yC4OBgjBw5Eq+//jqKFSuGoKAgvPLKK2jRogVfNJoDE+mkKtvg36NHD6HmL7t27RoA17/0Tm94kpOX2h0pabteXl5MkBicFn7rTKQ/wISZvoh68912f9LT04VK0ugRR6Trj6ixwRlsO/KS4oKHhwfc3d1VLo3riPySWsYFxoXCunbtGp555hlcvXoVwcHBqFevHn755Rd06tQJADBnzhy4ubmhX79+SEtLQ2RkJBYsWKByqbVHnKwl6ZKHhwdCQkKQkJCA3377Te3iyKJ8+fJqF0FV0kluyZIl2Ldvn8qlcb02bdqgffv2qm1fCyPSbf9LxiW1gQMHDqBz586qlOGff/6xK4ur6LGzzoSZvoh6UWy7P6mpqUykq4w32PRH1NjgDLYdean5BJucRG43al//aYHI9SunxYsXF/i9j48P5s+fj/nz5ytUIn1iIp1UZTKZsHv3buzfv1/tosjCw8MDkZGRahdDVUWLFgUArFy5UuWSyMPb2xsJCQkIDg5WZftqd36ZSCdJhQoVAAC3b9/Gli1bVC2Lq29gSu17y5YtDnXYixcvjj59+ij+AmBbTJjpi6jJMi8vL+v/37x5U6gnD53l5uam+lOKnPJJf5gwe9B2EhISEB8fr3JpXK948eLW+bzVIGobEznmiNpncIa077GxscKOmG7RogUaNmyodjEoD8btzZJmhIeHIzw8XO1ikExmzJiBqlWrwmw2q10Ul1u3bh2uXr2KzZs3Y+DAgaqUQStTuxi5I0fZmjVrhu3bt+PKlSuqlsPf3x9dunRx6ToDAwMBAN999x2+++47h/7N8uXLMXjwYJeWwxkcka4voiYyTCYTfHx8kJqaiipVqqhdHNVNnjwZ06dPV237asYFqW2bzWaYzWZD31RxBhNmD/Z9/PjxGD9+vMqlcb2wsDCcPHkSfn5+qmxf7WsJuYjcF2FcAIKCggAA58+fx8svv6xyaeTx0UcfMZGuUezBEJGs6tevj08//VTtYsgiKCgIM2fORHR0tGqJdLWTL0ykk8RkMqFdu3ZqF0MW48ePh9lsduhiLC4uDkePHsWPP/6oiUQ6R57qg8gXxd26dUNUVJTaxdCE+fPnY/LkyaqNPtXCkypAdnxiIt0xoiY5ndGjRw9s3LhRyHNKVlYW4uLi8Msvv6BPnz6qlEHtawm5iNwXYVwA2rZti3HjxuHSpUtqF0U21apVU7sIlA/2YIiICqlXr16YOXMmNm/ejPT0dLtH2JWidkdK2q5onW8iWw0aNMD333/v0LLHjh1D/fr18csvvyAlJQX+/v4yly5vWkiYiXjxKheRE+lr1qzBvXv31C6GqrKyslC5cmVcv34dO3fuRMeOHVUphxZGpAPZ7V2t2KgnWVlZSE9PByBmbHDU0KFDMXToULWLIYvx48dj9uzZiIqKUi2Rrva1hFykmCNiX0TkPoOjvLy8MHv2bLWLQQbFRDoRUSE1bdoUpUqVwrVr17Br1y5VLozVHkXCEelE9urWrYvKlSvjn3/+wc8//4x+/fopXgaz2YysrCwAnNpFL0S/KFZrygIt6d27NxYtWoSoqCjVEulq9hk8PDzg4eHh8NM99CDBCXDAgqj69OmD2bNnY8OGDaoNylH7WkIuIvdFRK0zIr1Q7y1YREQ65+7ujh49egAAoqOjVSmD2qNImEgnsmcymdC3b18AwNq1a1Upg+1FI0ek64PasZzkZxsXpBtdSlO7nTE2OMf2ODE2iKlFixYICQnBnTt3sGPHDlXKoOZUcHISOd6IfvOdSOs4Ip2I6BH06tULixcvRnR0ND799FOYTCZFt6/2iAQm0oly69OnD2bNmqXaCDO1RzFK8eD69evo3Lmz4tvXo9OnTwNgLBVZ+/btERwcjPj4eOzfvx+tWrVSvAxa6DMkJycLmdiSg3ScTCaTavPqk7zc3d3Rq1cvLFy4EGvXrlXlnKn2DTa5MJFORHJhIp2I6BF06NABvr6+uHTpEv788080aNBA0e2rPYqEc6QT5da8eXOEhoYiPj4e27dvR2RkpKLbl+KCu7u7Ki/0K1WqFLy8vJCeno4tW7Yovn09K1++vNpFIJl4eXmhR48e+O677xAVFaVKIl0rfQYRE1tysE1wKj1Qg5TTt29fLFy4EOvWrcP8+fPh5qbspAFq32CTi8jxRtSbH0R6wUQ6EdEj8PPzQ+fOnREdHY3o6GjVEulqP6bNjhzRA25ubujduze+/PJLREVFKZ5IV/uiuGjRojh48CBOnDihyvb1qkiRIhzBL7i+fftaE+mzZs1SPDmqlT6DiIktOXDUqTFERERYn1aJiYlBy5YtFd2+2nFBLiLHG8YGInUxkU5E9Ih69eplTaRPmTJF0W2rnTBjIp0ob3369MGXX36J6OhoLFiwAO7u7optWwsXxfXr10f9+vVV2z6RFkVGRsLPzw9xcXE4evQoGjZsqOj2tdJnEDGxJQe164uU4eXlhe7du2P58uWIiopSPJEuajuT4s3evXuxYMEClUvjWvHx8QDEqzMivWAinYjoEXXv3h0mkwlHjhzBpUuXFH00X+2EGad2Icpbu3btUKRIESQkJGD//v14/PHHFdu2qBfFRHrn5+eHrl27Ys2aNVizZo3iiXSt9Bk++OADLFu2TJUy6MmNGzcAcLCCEfTp0wfLly/H2rVr8fHHHyv6tIracUEuQUFBAIDNmzdj8+bNKpdGHoGBgWoXgciQhEukHz16FD/++CMOHTqEw4cP48aNG2jbtm2+b8GOi4tDpUqV8l3flClTMHXqVHkKS0RCKFmyJFq2bIm9e/di/fr1ePnllxXbttoJsy5dumD58uXo2bOnKtsn0ipphNl3332HtWvXKppIF/WimEgEffv2xZo1axAVFYX33ntP0W2r3WcIDQ0FAGzbtk2V7euVdNxIXF26dIGPjw/++ecfHDt2TNEnutR+d4JcRo0ahX///RdJSUlqF0UW1atXV3xKUSLKJlwifd26dZgxYwa8vLxQrVo16538h6lfvz569+6d6/N27dq5toBEJKRevXph7969iI6OVjSRrnbCrGXLljh//rwq2ybSuj59+lgT6UrOhyzqRTGRCJ544gl4enrir7/+wl9//YWaNWsqtm21+wzz589Hx44dYTabVdm+Hrm5uaF79+5qF4Nk5u/vj8jISERHR2Pt2rWKJtLVvsEml7CwMCxZskTtYhCRgIRLpPfv3x89e/ZE3bp1cfPmTZQuXdqhf9egQQOOPCeiQuvVqxfeeust7NixA4mJiQgODlZku6J2folEEBkZCV9fX8TGxuLPP/9UbOQQ4wKRdgUHB6NTp07YtGkToqKi8N///lexbat9k61ChQoYO3asKtsm0ro+ffogOjoaUVFRiuYl1L7BRkSkN25qF8DVateujUaNGsHT01PtohCRgVSrVg3Vq1dHRkYGfv75Z8W2q/ZFMRHlTxphBgBr165VbLu8KCbStr59+wIAoqKiFN0ub7IRaVePHj3g7u6O48ePK/q0J+MCEZFzhBuRXlj//vsv5s+fj8TERISEhKBdu3aoUqWKQ/82LS3NetEKwDoPV0ZGBjIyMmQpby5eXoCvb8HfK1UWchzrTSjdu3fHmTNnsHbtWutFskSKBa6OCffv3wcAeHp65r1uLbSxgsrANp6bFupMZAq3x549e2LdunVYs2YN3n77bbvv5IoLycnJALLnaddsXCDnsM6E0rVrV7i5ueHw4cM4e/YswsLC7L6XKzZI1yvu7u651802pk+sN2EEBgaibdu22LZtG1avXo3XX3/d7ntDX0uQc1hnhsGp0tRhslgsFrULIZf4+HiULl26UC8bNZlMGDJkCL788kv4+/sXuJ2pU6di2rRpuT7/+uuvUaJEiUKVnYj05/Tp05gwYQL8/Pzw7bffwsND/nuVU6dOxdGjRzF27FhERETIvj0ick5ycjKGDRuGzMxMfPHFFw5POfcotm/fjnnz5nHaOiINmzx5Mo4fP44RI0agV69esm/PYrGgT58+AIClS5eiSJEism+TiJyzadMmLFy4ENWrV8fMmTMV2ea8efOwfft2PPPMM7kGAhGRtt24cQPPPfccLl26hHLlyqldHMMw/Ih0Pz8/TJ48Gb1790aVKlWQlZWFw4cP47///S++++473Lt3D2vWrClwHRMnTrS7Y3zlyhXUqlULbdq0yTXCRDatWwPHjuX/fb16wO7dypSFHMd6E0pkZCQ++eQTXL9+HQEBAWjfvr31u4yMDGzZsgWdOnVy6dRTs2fPBgA0bdoU3bp1y72AFtpYQWVgG89NC3UmMhXa49KlS/Hbb7/hzp07GDlypPVzueJCfHw8AKBs2bLajQvkHNaZcOLi4vDaa6/hzJkzuX6ncsSG9PR06/8/8cQTud/lwjamT6w3odSvXx8LFy7EmTNn0LBhQ7ub73L1GVasWGHdNvsMgmCdGcaVK1fULoIhaTKRPn78eLupUh5m7NixCA8PL9S2SpUqhenTp9t91qFDB7Ro0QKNGjVCVFQUDh8+jEaNGuW7Dm9vb7s5xe7evQsg+/EoxeZqT08H/v+xrHy/57zx2sN6E4qnpyd69OiBb775Bhs3brTOjZxzGVfGBSlW+vv7571eLbSxgsrANp5blSrZx6Wg73nMCk+F9ti3b1/89ttviI6OxoQJE3J97+q4ID2a7evrq924QM5hnQnnySefxGuvvYb9+/fjxo0beT6t4srYcN+m/QQEBOReL9uYPrHehBIWFobmzZsjJiYGGzduxEsvvZRrGbn6DJq+liDnsM4MQ4kn4Ck3TR71r776CikpKQ4v/+STTxY6kZ4fPz8/DB06FG+//Tb27t1bYCJdE2rWfLTvicglevXqhW+++Qbr16/HvHnzYDKZZN0eXyoomMxMYPlyx5Zzd5e/POQSvXr1wujRoxETE4N///0XZcqUkXV7jAtE2le2bFlrwmzdunV5JsxcyXaQEl8qSKRdffr0QUxMDNauXSt7XAD4slEiIme5qV2AvCQnJ8NisTj8p127drKUQ5rf3JmkviqkxMvhw/n/Wb48ezkiklXHjh3h6+uLCxcu4FhBj9S5CDu/gnE0Oc4kuq6UKVMGLVq0AACsW7dO9u0xLhDpgzQfcVRUlOzbkhLpXl5est/kJ6LCk95lsH37dty+fVv27fHmOxGRczSZSNeKAwcOAIBy85wXFhMvRJrh5+eHTp06AQCio6Nl357U+WXCjEjbpAvjtWvXyr4tXhQT6YOUSN++fTtu3bol67Z4g41IH8LDw1GnTh2YzWZs2LBB9u0xNhAROcfwifQjR47AYrHk+jwqKgrLli1D0aJF0bVrVxVKRoZQsybQsGH+fzgljy716tULALB+/XrZt8WEGZE+2I4wkzthxhtsRPpQpUoV1K9fH5mZmbL3GdhfINIPNZ5WYWwgInKMJudIfxSnT5/Ghx9+CODBS3VOnz6N4cOHW5dZunSp9f/HjRuH8+fPo0WLFihXrhwyMzNx+PBh7NmzB97e3li6dGnut9oTuQLnQhbWE088AZPJhEOHDuHy5csoV66cbNviKBIifahatSrq1q2L48ePY8OGDXjmmWdk2xbjApF+9O3bF3/++SeioqLsrldcjXGBSD/69OmD6dOn45dffkFKSgr8/f1l2xZjAxGRc4RLpMfHx2PZsmV2nyUkJNh9ZptIf/rpp7FmzRrExMTgxo0byMrKQtmyZfHcc89h/PjxqFGjhlJFJ6PhlDzCCgkJQYsWLbBv3z6sX78eo0ePlm1bHEVC5KSCnvSR+SmgPn364Pjx41i7dq2siXTGBSL96Nu3L6ZMmYJff/0VSUlJCAwMlGU7jAtE+lG/fn1UqlQJsbGx+OWXX6wj1OXAp9iIiJwj3NQu7dq1e+jLSW0999xz2Lx5My5evIh79+4hNTUV58+fx6JFi5hEJ6JCU2p6F44iIXLCw17OLfOLuaUL4Z9//lnWF5kzLhDpR+3atREeHo60tDRs2rRJtu0wLhDph8lkUuzdKrzJRkTkHOES6UREWtCzZ08AwLZt23D37l1ZtmE2m5H5/0k/dn6JHODIEz4yPgVUr149VKpUCampqfjll19k2w4vigXEd6oIy2QyoV+/fgDknQ+Zo06J9EVKpP/0009IT0+XbTu8yUZE5Bwm0omIZFCjRg1Uq1YNGRkZ+Pnnn2XZhnRRDLDzS6QHJpNJkReIMWEmmIc9SaHA0xQkLykubNy40ZrUcjXeYCPSlxYtWiAkJASJiYnYsWOHbNthbCAicg4T6UREMpF7ehfbRDo7v0T6II0w27Bhg2wjzDi6TDB8p4rwmjRpgvLlyyMlJQW//vqrLNtgXBAUn1YRlru7u/VaQs6b74wNAmJcIJKVcC8bJSLSip49e+Ljjz/Gxo0bkZGR4fL1S4l0Nzc3eHgwnBPpQYsWLRAaGor4+HjZRphxdBmRvkhPq8ybNw9RUVHo2rWry7fBuCAg6WkVR5bjjTZd6tu3LxYuXIh169Zh7ty5Ll+/xWKx3tRnIl0QjAtEsuOIdCIimbRo0QIlS5bEnTt3sGfPHpevnyNIiPTHzc3NOsIsOjpalm0wNhDpjzS9y/r162W5+c64ICA+rSK8iIgIBAcHIyEhAQcOHHD5+m2fjONNNkEwLhDJjol0IiKZuLu7o3v37gCyXxTkahxdRqRP0vQu69evt74w2JUYG4j0p1WrVihVqhRu376NnTt3unz9jAtE+uPl5WW9lpDj5rvtOxl4k42IyDFMpBMRyUgaebphwwZYLBaXrpujy4j0yXaE2d9//+3y9TM2EOmPu7s7evfuDQBYt26dy9fPuECkT9LN9+joaJdfS9i+b8nLy8ul6yYiEhUT6UREMurYsSN8fHwQFxeHCxcuuHTdHF1GpE+2I8xiYmJcvn4pNjBhRqQv0vQu0dHRLn9ahXGBSJ+6dOkCHx8f/PPPP4iLi3Ppum1vsJlMJpeum4hIVHw7HRGRjPz9/dGpUyf89NNPOHDgAEaPHu2ydetmdFlBb4bnW+PJoPr27Yvly5cjJiYG9+/fd2nSTIoNvMlGpC+2T6ucOHEC7dq1g6enp0vWnZSUBIBxgUhv/P39ERkZiejoaMTExODll1922bo5KIeIyHlMpBMRyaxXr1746aef8OOPP2LTpk0uW6/0MjJNd34deXM83xpPBhQZGQkfHx8kJCQgODhYlm1o/iYbEdnx8vJCz5498b///Q9TpkzBlClTXL4NxgUi/enbty+io6OxadMmdOnSxWWjx5OTkwEwLhAROYOJdCIimfXq1Qtvvvkmbt++jcTERJevv0mTJi5fp8s4kiBnEp0MyN/fHyNHjsT8+fNlWX/lypVRpUoVWdZNRPJ58cUXsWbNGty7d8/l6/b19UVERITL10tE8urevTv8/f2RlJSEbdu2uXz9FSpUcPk6iYhExUQ6EZHMSpQogXPnzuGHH35A27ZtXfaYNpD9crJKlSq5bH1EpJw5c+agdevW6NSpk0vjAgD4+fnBnTepiHSnZcuWuHHjBjZs2IAuXbq4vM/g6lhDRPIrVqwY9uzZg//9739o0KABPDxcl8YxmUxo06aNy9ZHRNo1Y8YMREVF4fTp0/D19UXLli0xc+ZMVK9e3bpMamoqxo8fj5UrVyItLQ2RkZFYsGABQkJCVCy5tjCRLqNrSWkIK+D7q4n3EXsjBZVK+KN0sG+B63JmWb2R6zjobVlRaeHYamHZ5CxPpPiXRUCp8qhQItClZdj/z01V25gc7VwLdaaFZfVGC8dMX+0xFZfSfJGc5YkKga6NC8fjbusmLnBZxgUua+96ihkX7nvjdhpQIbDg6duca2OJjAsCLysqLRxbLSxbrFwVlK7fFm27Rrj8WiL2RgpMifeFa2NynIP1tqzItHB81W5jztq5cydefvllPPbYYzCbzZg0aRI6d+6MU6dOwd/fHwAwbtw4bNy4EatWrUJwcDDGjBmDvn37Yu/evS4ti54xkS6jAUuOYeYgXzz1WO5HpX74/SImRh1HlgVwMwEz+tbNczlnl9UbuY6D3pYVlRaOrbaWdceCv3YpW4aHvczzEV/2KUc711adMS44SgvHTJ/tUYW4IDMt1K+eltVCnclF7WOr72VdFxv01l/gss4vKyotHFttLSvetYRc5DgH621ZkWnh+Krdxgrj559/tvv70qVLUapUKRw6dAht2rRBYmIiFi9ejBUrVqB9+/YAgCVLlqBmzZqIiYlB8+bNXVYWPTNZLBaL2oUQzeXLl1G+fHmUf+1HePr4Y8+ECLs7SVcT76PVh9uQZXPk3U2mXMs5u6zeyHUc9LasqLRwbA2/rKMv8Szkyz7laOe6ObYyL6s3WjhmbI9OLDtkCPDXX/nveM2aD39JcD5U3zedLcu4wGXlXlZv/QUu6/yyotLCsTX8sjLHBrnIcQ7W27Ii08LxVbuNSaTc46lTp1C2bFnr597e3g69RPjcuXMIDw/H8ePHUadOHWzbtg0dOnTA7du3UaRIEetyFStWxGuvvYZx48Y9dJ1G4KZ2AUSXabEg7ob9y4Jib6TY/TjyW87ZZfVGruOgt2VFpYVja/hlHe3QFrLjK0c7182xlXlZvdHCMWN7dHDZzMzsJPnhw/n/Wb48e7lC0M1x0MiyjAtcVu5l9dZf4LLOLysqLRxbwy8rc2yQixznYL0tKzItHF+121hOtWrVQnBwsPXPjBkzHvpvsrKy8Nprr6FVq1aoU6cOACA+Ph5eXl52SXQACAkJQXx8/EPXaRSc2kVm7iYTwkr42X1WqYQ/3EzIdacp53LOLqs3ch0HvS0rKi0cWy4rLznKoIXjpYVl9UYLx4zt0cFlZb4o1s1x0MiyjAtcVu5ltdDG1D4Goi8rKi0cWy6rT3LER70tKzItHF+121hOeY1If5iXX34ZJ06cwJ49ex66LNnjiHQZuZmAD/rWyfUYRulgX8zoWxfuJhOA7B9HXss5u6zeyHUc9LasqLRwbLW0rFv2ovnGBTnLIBc5yqClOmNccJwWjpke26PR4wKX1UadyUXtY6vnZV0ZG7TQxrR0bEVcVlRaOLZaWlbEPoNc5IiPeltWZFo4vmq3sZwCAwMRFBRk/fOwRPqYMWOwYcMGbN++HeXKlbN+HhoaivT0dNy5c8du+YSEBISGhj60HEbBOdJlIM1TdODYaTStWz3f5a4m3kfcjXsIK+H30B+HM8vqjVzHQW/LikoLx1YLy168kYQfN23HgG4RqFAiUJUyyEWOMmihzrSwrN5o4ZjpqT0yLnDZwqxTb9Q+tnpcVo7YoIU2poVjK/KyotLCsdXCsiL3GeQiR3zU27Ii08LxVbuNSbnHS5cu2SXE82OxWPDKK69g7dq12LFjB8LDw+2+T0xMRMmSJfH999+jX79+AIAzZ86gRo0a2L9/P182+v+YSJeB1JhjY2MRFhamdnGISAMyMjKwadMmdOvWDZ6enmoXh4g0gHGBiPLC2EBEOTEuEFFOzibSR48ejRUrViA6OhrVqz8Y9BscHAxf3+yk/UsvvYRNmzZh6dKlCAoKwiuvvAIA2Ldvnzw7oUOcI52IiIiIiIiIiIhIUF988QUAoF27dnafL1myBMOHDwcAzJkzB25ubujXrx/S0tIQGRmJBQsWKFxSbWMinYiIiIiIiIiIiEhQjkxI4uPjg/nz52P+/PkKlEif+LJRIiIiIiIiIiIiIqICMJFORERERERERERERFQAJtKJiIiIiIiIiIiIiArARDoRERERERERERERUQGYSCciIiIiIiIiIiIiKgAT6UREREREREREREREBWAinYiIiIiIiIiIiIioAEykExEREREREREREREVgIl0IiIiIiIiIiIiIqICMJFORERERERERERERFQAJtKJiIiIiIiIiIiIiArgoXYBRJSVlQUAuHr1Kjw8eIiJCDCbzbhx4wauXLnCuEBEABgXiChvjA1ElBPjAhHldPXqVQAPcpCkDEZgGVy6dAkA0LJlS5VLQkRERERERERERCJKSEhAhQoV1C6GYTCRLoOaNWsCAE6cOIHg4GCVS0NEWpCUlIRatWrh1KlTCAwMVLs4RKQBjAtElBfGBiLKiXGBiHLKyspCQkICGjZsqHZRDMVksVgsahdCNHfv3kVwcDASExMRFBSkdnGISAMYF4goJ8YFIsoLYwMR5cS4QESkDXzZKBERERERERERERFRAZhIJyIiIiIiIiIiIiIqABPpMvD29saUKVPg7e2tdlGISCMYF4goJ8YFIsoLYwMR5cS4QESkDZwjnYiIiIiIiIiIiIioAByRTkRERERERERERERUACbSiYiIiIiIiIiIiIgKwEQ6EREREREREREREVEBmEgnIiIiIiIiIiIiIioAE+lERERERERERERERAVgIt2Ffv/9d3Tr1g1FihSBv78/mjdvjh9//FHtYhGRjK5cuYK5c+eic+fOqFChAry8vBAaGop+/frhwIEDD/33//zzDwICAmAymfDiiy8qUGIiUsvMmTNhMplgMpkQExOT6/uzZ89ixIgRCA8Ph6+vL8qWLYtOnTph/fr1KpSWiFxt6dKl1hiQ358OHToAADIyMrBmzRoMGzYMNWvWREBAAAIDA9GsWTN88cUXyMzMVHlviMhVsrKy8Pnnn6NRo0bw8/NDUFAQ2rRpU+D5PzY2FqNGjULFihXh7e2NkJAQREREYNWqVQqWnIjIeEwWi8WidiFEsH37dkRGRsLHxwcDBw5EYGAg1qxZgwsXLmDWrFkYP3682kUkIhlMmDABM2fORJUqVdCuXTuULFkSZ8+exbp162CxWLBixQo89dRTef7brKwstGvXDocPH0ZKSgpeeOEFfPnllwrvAREp4cSJE2jSpAk8PDyQkpKC/fv3o3nz5tbvDxw4gIiICGRkZKBnz54IDw/HtWvXEBUVhcTEREydOhVTpkxRcQ+I6FEdPXoU69aty/O71atX4+TJk5g5cybeeustnD592ppA79ChA6pXr47ExET89NNP+Pfff9G9e3esX78eJpNJ2Z0gIpeyWCzo378/1qxZgypVqqBr165IS0tDdHQ0rl27hs8++wxjxoyx+zdbtmxB7969AQA9evRA5cqVcfv2bRw7dgx16tTBV199pcKeEBEZAxPpLmA2m1GjRg1cvnwZMTExaNCgAQAgMTERTZs2RVxcHP7++29UrFhR3YISkctFRUWhePHiaNu2rd3nu3fvRocOHRAQEICrV6/C29s717/95JNPMGHCBHz88ccYN24cE+lEgsrIyEDz5s3h6emJ8PBwfPfdd7kS6d26dcPmzZuxbt069OrVy/r5hQsXULduXZjNZty+fTvPWEJE+paeno4yZcogMTERly9fRkhICK5cuYLo6GgMGzYM/v7+1mVTUlLQrl07/PHHH/jxxx/Rv39/FUtORI9q9erV6N+/P1q1aoUtW7bA19cXAHDjxg00adIE8fHxOH36NMLCwgAAFy9eRN26dRESEoLffvsNFSpUsFuf2WyGh4eH0rtBRGQYnNrFBbZt24bz589j8ODB1iQ6AAQHB2PSpElIT0/HsmXL1CsgEcmmb9++uZLoANC6dWtERETg9u3bOH78eK7vT58+jbfffhsTJ060ixtEJJ73338fJ0+exDfffAN3d/c8l/nnn39gMpnQtWtXu88rVqyIunXr4v79+0hOTlaiuESksHXr1uHmzZvo3r07QkJCAABly5bF6NGj7ZLoAODv74/XX38dALBz507Fy0pErhUdHQ0AmDRpkjWJDgAlSpTAuHHjkJaWhiVLllg//+CDD3D37l18+eWXuZLoAJhEJyKSGRPpLrBjxw4AQOfOnXN9FxkZCYAdXSIj8vT0BJC7Q5uZmYlhw4YhPDwcb7/9thpFIyKFHD58GO+//z6mTJmCWrVq5btcnTp1YLFYsHnzZrvPL168iOPHj6N+/fooXry43MUlIhV8/fXXAIDnnnvOoeXz618Qkf7Ex8cDACpVqpTrO+mzbdu2AcieBmbVqlUoXrw42rdvj0OHDmH27NmYNWsWfvvtN2RlZSlXcCIig2LvywXOnj0LAAgPD8/1XWhoKAICAqzLEJExXLx4Eb/99htKly6NunXr2n03Y8YMHD58GDExMfDy8lKphEQkt7S0NDzzzDNo0KAB3nrrrQKXfe+997B37148+eST6NmzJ6pVq2adI71KlSr44YcfFCo1ESnpwoUL2Lp1K8qVK4cuXbo49G+++eYbAHkP4iEifSlRogSA7JeH1qxZ0+672NhYAMDff/9t/futW7fQpEkTvPDCC1i4cKHd8g0bNsT69etRrlw5BUpORGRMHJHuAomJiQCyp3LJS1BQkHUZIhJfRkYGhg4dirS0NMycOdNuKoc///wT06dPx5tvvonGjRurWEoikts777yDs2fPYsmSJflO6SKpUaMGYmJi0LBhQ0RFReHDDz+0TgUzYsQIVKlSRaFSE5GSlixZgqysLAwfPvyhcQIAFi5ciM2bN6N9+/bo1q2bAiUkIjlJU7p9+OGHSE1NtX5+8+ZNzJ07FwBw584dAMC1a9cAAEeOHMGKFSuwZMkS3Lp1C7GxsRg1ahSOHDmCJ598UtHyExEZDRPpREQuJF0M79q1C6NGjcLQoUOt36Wnp2PYsGGoWrUqpkyZomIpiUhu+/fvx6xZs/D222+jTp06D13+4MGDaNGiBYoWLYpDhw4hJSUF58+fxzPPPIOxY8di0KBBCpSaiJSUlZWFJUuWwGQy4dlnn33o8hs2bMCYMWNQsWJFfPfddwqUkIjkNnjwYERERGD37t2oW7cuXnnlFbz44ouoXbs2goKCAABubtlpG2nqlszMTLz77rsYPnw4ihYtirCwMCxcuBDNmjXDgQMHsGfPHtX2h4hIdEyku4A0Ej2/Ued3797Nd7Q6EYkjKysLzz77LFasWIGnn34aX375pd33M2bMwPHjx7FkyRJ4e3urVEoikpvZbMawYcNQr149TJgw4aHLZ2RkYODAgXBzc8PatWvRqFEj+Pn5oXLlypg9ezZ69+6NVatWYe/evQqUnoiU8ttvv+HixYto3759nvMj29q0aROefPJJhISEYNu2bShdurRCpSQiOXl4eGDz5s2YOnUq3NzcsHDhQkRFRaFXr15YvXo1AKBUqVIA7J+A79mzZ6519ejRAwDwxx9/KFByIiJjYiLdBaS50fOaBz0+Ph7Jycl5zp9OROLIysrCiBEjsGzZMgwaNAhLly61jh6RHDlyBFlZWWjevDlMJpP1T0REBADgq6++gslkQu/evVXYAyJyleTkZJw9exZHjx6Fl5eX3e992bJlAIAWLVrAZDJh3bp1OH36NGJjY9GsWTP4+fnlWp8UI44cOaLofhCRvBx9yejGjRvRt29flChRAtu3b0flypWVKB4RKcTb2xtTpkzBmTNnkJaWhmvXruGrr77ClStXAABNmjQBAFSpUsU6BVSRIkVyrUf67P79+4qUm4jIiPiyURdo27YtZsyYgV9//RUDBw60++6XX36xLkNEYpKS6N9++y2eeuop/O9//8tzntNOnTpZXyhk6+rVq9i0aRNq1KiBVq1aoWHDhkoUm4hk4u3tjZEjR+b53a5du3D27Fn07NkTJUuWRFhYGNLT0wEA169fz/PfSJ/zSRYicdy8eRPR0dEoVqwY+vTpk+9yGzduRL9+/VCsWDFs374dVatWVbCURKSm5cuXA4A1x+Dj44OWLVti9+7dOHXqFB5//HG75U+dOgUACAsLU7ScRERGYrJYLBa1C6F3ZrMZ1atXx5UrVxATE4MGDRoAyJ7qpWnTpoiLi8OZM2d4QiMSkDSdy7Jly9C/f3+sWLECHh7O3aPcsWMHIiIi8MILL+SaDoaIxDJ8+HAsW7YM+/fvR/PmzQEAaWlpKFWqFJKTk7F582Z07tzZuvylS5fQuHFj3LhxA6dPn0a1atXUKjoRudDcuXMxbtw4vPrqq5g3b16ey2zevBl9+vRB0aJFsWPHDlSvXl3hUhKREu7evWudD12yevVqPPXUU2jcuDH2799vHaTz/fffY/DgwejQoQM2btxovcl++vRpNG7cGO7u7rhw4QKKFi2q+H4QERkBR6S7gIeHB77++mtERkaiTZs2GDhwIAIDA7FmzRpcuHABs2bNYhKdSFDTp0/HsmXLEBAQgGrVquG9997LtUzv3r2tN9iIiHLy9vbGxx9/jBdeeAFdu3ZF9+7dUaNGDcTHxyMqKgrJyckYP348k+hEAlm8eDGA/Kd1OX36NPr06YO0tDS0a9cO33//fa5lwsLCMHz4cDmLSUQKaNasGcqXL4+aNWvCx8cHBw8exI4dO1C5cmWsWrXK7knXgQMHIioqCqtXr0b9+vURGRmJxMRErFmzBqmpqfj222+ZRCcikhET6S4SERGBPXv2YMqUKfjhhx+QkZGBunXrYubMmXjqqafULh4RySQuLg5A9pzI77//fp7LhIWFMZFORAV6/vnnUalSJcybNw/79u3Dxo0bERAQgEaNGuH555/HkCFD1C4iEbnIwYMHceLECTRt2hR169bNc5n4+HikpaUBAFauXJnnMm3btmUinUgATz31FKKiohATE4OMjAxUqlQJb7/9Nt58881cI9VNJhO+//57tGzZEosXL8ZXX30Fb29vtGzZEpMmTeKUskREMuPULkREREREREREREREBXBTuwBERERERERERERERFrGRDoRERERERERERERUQGYSCciIiIiIiIiIiIiKgAT6UREREREREREREREBWAinYiIiIiIiIiIiIioAEykExEREREREREREREVgIl0IiIiIiIiIiIiIqICMJFORERERERERERERFQAJtKJiIiIiIiIiIiIiArARDoRERERERERERERUQGYSCciIiIiIiIiIiIiKgAT6UREREREREREREREBWAinYiIiIiIiIiIiIioAEykExEREREREREREREVgIl0IiIiIiIiIiIiIqICMJFORERERERERERERFQAJtKJiIiIiIiIiIiIiArARDoRERERERERERERUQGYSCciIiIiokJr164dTCaT2sUgIiIiIpIVE+lEREREJKu4uDiYTCaYTCZERkbmuUxMTAxMJhOGDx/+SNt61KTunTt3MHPmTLRt2xalSpWCp6cngoOD0ahRI7z66qs4cODAI5VPj6ZOnQqTyYQdO3aoXRQiIiIiItUwkU5EREREivn111+xbds2tYuRp23btiE8PBwTJkzA1atX0bNnT7z11lsYMWIESpQogUWLFqF58+aYN2+e2kXVlG+//RZ//fWX2sUgIiIiIpKVh9oFICIiIiJjCAsLw8WLF/Gf//wHBw8e1NR0IEePHkX37t1hMpnwv//9D0OGDMlVvlu3bmHu3Lm4e/euSqXUpgoVKqhdBCIiIiIi2XFEOhEREREponr16hg6dCj++OMP/Pjjjw7/u6SkJEyZMgW1a9eGr68vihQpgsjISOzZs8duOZPJhJ07d1r/X/rjyHQxr776Ku7fv4/58+fj6aefzjPJX6xYMUyfPh0TJ04sdBmBB9PPZGRkYOrUqQgLC4O3tzeqVauGBQsW5Fk+i8WCb775Bq1atUJQUBD8/PzQpEkTfPPNN7mWtZ2KZenSpWjUqBH8/PzQrl07AEBiYqJ1+poyZcrAy8sLZcqUwTPPPIPz58/nKuu0adMAABEREdZjGhYWlmt/cjKbzZg9ezbq168PX19fBAcHIyIiAj/99FOuZZcuXQqTyYSlS5fi119/RcuWLeHn54fixYtj2LBhuHnzZp7HhYiIiIhIKRyRTkRERESKmT59OlauXIm3334bffv2haenZ4HL37p1C23atMHJkyfRqlUrvPjii7h79y6io6MRERGBVatWoXfv3gCAKVOmYOnSpbhw4QKmTJliXUeDBg0K3MbZs2exe/duVKhQAc8888xD98HDw74L7UwZbQ0aNAgHDx5E165d4e7ujh9//BEvv/wyPD09MWrUKOtyFosFQ4YMwffff4/w8HAMHjwYXl5e2LJlC0aOHIlTp05h1qxZudb/8ccfY/v27ejVqxc6d+4Md3d3AMBff/2Fd955BxEREejTpw/8/f1x+vRprFixAhs3bsThw4dRsWJFALDehNi5cyeGDRtmTaAXKVKkwGNksVjw5JNPIjo6GtWqVcPLL7+MlJQU/PDDD+jZsydmz56NcePG5fp369evx8aNG9GjRw+0bNkSu3btwrfffovz58/neVOCiIiIiEgxFiIiIiIiGcXGxloAWCIjIy0Wi8XyxhtvWABYPvvsM+sy+/fvtwCwDBs2zO7fDh482ALAsmjRIrvPExISLOXLl7eULFnScv/+fevnbdu2tTjbxV22bJkFgGXo0KFO7tmjlbFZs2aWxMRE6+enT5+2eHh4WKpXr263noULF1oAWEaMGGFJT0+3fp6Wlmbp0aOHBYDljz/+sH4+ZcoUCwCLv7+/5dixY7nKe+fOHcvNmzdzfb5t2zaLm5ub5bnnnrP7XFrf9u3b89z/vI65dEzbtm1rSUtLs35+4cIFS4kSJSweHh6W8+fPWz9fsmSJBYDFw8PDsmfPHuvnZrPZ0q5dOwsAy/79+/PcPhERERGREji1CxEREREpatKkSShSpAjeffddJCcn57vcjRs38MMPP6B9+/Z47rnn7L4rVaoU3nzzTVy/fh2//fbbI5UnPj4eAFCmTJlc3925cwdTp061+zN37lyXlHHGjBkICgqy/r169epo1aoVzpw5g6SkJOvnn3/+Ofz9/TF//ny7EfxeXl54//33AQDff/99rvU///zzqFu3bq7Pg4ODUaxYsVyfR0REoHbt2o98PAFg2bJlAICPPvoIXl5e1s8rVKiAcePGwWw2Y/ny5bn+3eDBg9GqVSvr393d3TFs2DAAwO+///7I5SIiIiIiKixO7UJEREREiipatCgmTJiACRMmYNasWZg6dWqey/3+++/IzMxEWlpansucPXsWAHD69Gl0795dlrLeuXPHOke4pGLFinjttdceuYyNGzfOtXy5cuWs2w0MDMS9e/dw/PhxlClTBjNnzsy1fEZGhnX9OTVt2jTf/dqxYwfmzp2LAwcO4MaNGzCbzdbvbBPfhXXkyBH4+fnlWYaIiAgA2S94zelhx4SIiIiISC1MpBMRERGR4l599VV8/vnn+OSTTzB69Og8l7l16xYAYO/evdi7d2++60pJSXmksoSEhAAA/v3331zfhYWFwWKxWP/u4+PjsjLajkaXSPOvZ2ZmAgBu374Ni8WCK1eu5EroP2z90n7ltGrVKjz11FMICAhAZGQkwsLC4OfnZ33Z54ULF/LdjqPu3r2L8uXL5/ld6dKlrcvk5MgxISIiIiJSAxPpRERERKQ4X19fTJs2DSNHjsS0adMwdOjQXMtISdXx48fn+TJNV2nZsiWA7BdqZmVlwc3N8dkP5S6jtP7GjRvjjz/+cOrfmkymPD+fOnUqfHx8cOjQIYSHh9t9t3LlysIVNIegoCBcu3Ytz++kqXTySpoTEREREWkV50gnIiIiIlUMGzYMtWvXxqJFi3Du3Llc3z/22GMwmUzYv3+/w+t0d3cH4Nzo5fDwcDz++OO4ePEivvvuO4f/XWHL6IzAwEDUrFkTf/31l8umNjl//jxq1qyZK4l+9epV/PPPP7mWL8wxbdiwIe7du4eDBw/m+m7Hjh0AgAYNGjheaCIiIiIilTGRTkRERESqcHd3xwcffICMjIw85xcPDQ3FgAEDsG/fPnz88cd2U6xIDhw4gHv37ln/Lr1E89KlS06V5dNPP4Wvry9Gjx6d54s7geypSHKWoTBldNarr76Ke/fuYdSoUXlO4RIbG4u4uDiH11exYkWcO3cOCQkJ1s9SU1Px0ksvWedct1WYYyq9IHTixIl267x06RJmz54NDw8PDBkyxOH1ERERERGpjVO7EBEREZFqevbsiccffxx79uzJ8/sFCxbgzJkzeOutt/C///0PLVq0QJEiRXDp0iX88ccfOHv2LK5evQo/Pz8AQPv27bF69Wr069cPXbt2hY+PD+rXr48ePXoUWI6GDRtiw4YNeOqppzB48GBMmTIFbdq0QUhICJKSknDx4kX8+uuvSE9Px+OPP/5IZXTWCy+8gJiYGCxbtgx79+5Fx44dUaZMGSQkJOD06dM4cOAAVqxYgbCwMIfW98orr+CVV15Bw4YN8eSTT8JsNmPLli2wWCyoX78+/vzzT7vlIyIiYDKZMGnSJJw8eRLBwcEoUqQIxowZk+82hg4diqioKERHR6NevXro3r07UlJS8MMPP+DWrVv45JNPULly5UIdDyIiIiIiNTCRTkRERESqmjlzJlq1apXnd8WKFcO+ffvw+eef44cffsDy5cuRlZWF0NBQ1K9fH5MnT0aJEiWsy48aNQpxcXFYuXIlZs6cCbPZjGHDhj00kQ5kJ+HPnj2LL7/8Ehs3bsS6deuQmJgIPz8/VKpUCc8++yyeeeYZNG3a9JHK6CzpJaDdunXDokWLsGHDBiQnJ6NUqVIIDw/HrFmz0LFjR4fX9/LLL8PT0xOfffYZFi1ahCJFiuCJJ57AjBkz0L9//1zL16pVC0uWLMEnn3yCzz77DGlpaahYsWKBiXSTyYTVq1dj3rx5WLZsGT777DN4eXmhUaNGeP3119GzZ89CHQsiIiIiIrWYLHk9f0pERERERERERERERAA4RzoRERERERERERERUYGYSCciIiIiIiIiIiIiKgAT6UREREREREREREREBWAinYiIiIiIiIiIiIioAEykExEREREREREREREVwEPtAojIbDbjyJEjCAkJgZsb71UQERERERERERGRa2RlZSEhIQENGzaEhwfTu0rhkZbBkSNH0LRpU7WLQURERERERERERII6ePAgHnvsMbWLYRhMpMsgJCQEALBv3z6UL19e5dIQkRaYzWZs3boVHTp04N1iIgLAuEBEeWNsIKKcGBeIKKerV6+iadOm1hwkKYMRWAbSdC6lS5dGuXLlVC4NEWlBRkYGSpQogbJly8LT01Pt4hCRBjAuEFFeGBuIKCfGBSLKD6eUVhaPNhERERERERERERFRAZhIJyIiIiIiIiIiIiIqABPpREREREREREREREQFYCKdiIiIiIiIiIiIiKgATKQTERERERERERERERXAQ+0CGF1mZiYyMjLULgaR8Dw9PeHu7q52MYiIiIiIiIg0y2KxIDMzE2azWe2iGBbzF9rFRLpKLBYL4uPjcefOHbWLQmQYRYoUQWhoKEwmk9pFISIiIiIiItIMi8WCO3fu4Pr168jMzFS7OIbH/IU2MZGuEimJXqpUKfj5+fGHQSQji8WCe/fu4dq1awCA0qVLq1wiIiIiIiIiIu2Q8lRBQUEICgqCh4cHc1UqYP5C25hIV0FmZqY1iV68eHG1i0NkCL6+vgCAa9euoVSpUnxMioiIiIiIiAjZearExESULFkSJUqUULs4hsf8hXbxZaMqkOZE9/PzU7kkRMYi/eb4XgIiIiIiIiKibBkZGbBYLPD391e7KPT/mL/QJibSVcRHZIiUxd8cERERERERUd54zawdrAttYiKdiIiIiIiIiIiIiKgATKQTERERERERERERERWAiXTStKlTpxb6cZalS5fCZDIhLi7OtYWyERcXB5PJhKVLl8q2DRGFhYVh+PDhaheDiIiIiIiIiKhAw4cPR1hYmNrFIA1gIp1kcfLkSTz99NMoW7YsvL29UaZMGQwZMgQnT55Uu2iqunbtGiZMmIC6desiICAAPj4+qFq1KkaMGIE9e/aoXTyX2rdvH6ZOnYo7d+6oXRQiIiIiIiIiMihpoKX0x8fHB9WqVcOYMWOQkJCgdvFIRzzULgCJJyoqCoMGDUKxYsUwcuRIVKpUCXFxcVi8eDFWr16NlStXok+fPg6t6+2338aECRMKVY6hQ4di4MCB8Pb2LtS/d7WDBw/iiSeeQFJSEgYOHIgXX3wR3t7eiI2Nxbp167B06VLs3LkTbdq0UbuoLrFv3z5MmzYNwwcNQpGEBKB6det3Z86cgZsb7+MRERERERERkTKmT5+OSpUqITU1FXv27MEXX3yBTZs24cSJE/Dz88v33y1atAhZWVkKlpS0iol0cqnz589j6NChqFy5Mnbt2oWSJUtavxs7dixat26NoUOH4tixY6hcuXK+60lJSYG/vz88PDzg4VG4Zuru7g53d/dC/VtXu337Nnr37g0PDw8cPXoUNWrUsPv+vffew8qVK+Hr66tSCR9OqhNnlZg0CYiKAnbvBh5/HAA0c3ODiIiIiIiIiIyha9euaNKkCQDgueeeQ/HixTF79mxER0dj0KBBuZaX8iCenp5KF5U0ikNCyaU+/vhj3Lt3DwsXLrRLogNAiRIl8NVXXyElJQUfffSR9XNpHvRTp05h8ODBKFq0KB7//4RrXnOk379/H6+++ipKlCiBwMBA9OzZE1euXIHJZMLUqVOty+U1R3pYWBi6d++OPXv2oGnTpvDx8UHlypXx7bff2m3j1q1beOONN6xTsAQFBaFr1674888/C3VcvvzyS1y9ehVz587NlUQHAJPJhEGDBuGxxx6z+/zKlSt49tlnERISAm9vb9SuXRvffPON3TI7duyAyWTCjz/+iPfffx/lypWDj48POnTogHPnzuXa1oEDB9ClSxcEBwfDz88Pbdu2xd69e+2WKahOjh07huHDh6Ny5crw8fFBaGgonn32Wdy8edPu37/55psAgEtRUQCA/7Ruba2LvOZI/+eff9C/f38UK1YMfn5+aN68OTZu3PhI+0pERPQwBw4cwJ49e5CYmKh2UYiIiIhIQe3btwcAxMbGYvjw4QgICMD58+fRrVs3BAYGYsiQIQDyniM9KysL8+bNQ926deHj44OSJUuiS5cu+OOPP+yW++6779C4cWP4+vqiWLFiGDhwIC5duqTI/pHrcUQ6udRPP/2EsLAwtG7dOs/v27Rpg7CwsFwJUgDo378/wsPD8cEHH8BiseS7jeHDh+PHH3/E0KFD0bx5c+zcuRNPPPGEw2U8d+4cnnzySYwcORLDhg3DN998g+HDh6Nx48aoXbs2gOyk7rp169C/f39UqlQJCQkJ+Oqrr9C2bVucOnUKZcqUcXh7QPZx8fX1Rd++fR3+NwkJCWjevDlMJhPGjBmDkiVLYvPmzRg5ciTu3r2L1157zW75Dz/8EG5ubnjjjTeQmJiIjz76CEOGDMGBAwesy2zbtg1du3ZF48aNMWXKFLi5uWHJkiVo3749du/ejaZNm9qtM6862bJlC/755x+MGDECoaGhOHnyJBYuXIiTJ08iJiYGJpMJffv2xd9//43vv/8eVT09gYwMjGrTJtfNFdt9bdmyJe7du4dXX30VxYsXx7Jly9CzZ0+sXr0611RAjuwrERGRI9577z1s2LAB8+fPx+jRo9UuDhEREREp5Pz58wCA4sWLAwDMZjMiIyPx+OOPY9asWQVO9zJy5EgsXboUXbt2xXPPPQez2Yzdu3cjJibGOur9/fffx+TJkzFgwAA899xzuH79Oj777DO0adMGR44cQZEiRWTfR3ItJtI1KCUlJd/v3N3d4ePj49Cybm5udlOFOLNsYSQmJuLff/9Fr169ClyuXr16WL9+PZKSkhAYGGj9vH79+lixYkWB//bw4cP48ccf8dprr2HOnDkAgNGjR2PEiBEOjxY/c+YMdu3aZU32DxgwAOXLl8eSJUswa9YsAEDdunXx999/283jPXToUNSoUQOLFy/G5MmTHdqW5PTp06hevXqux4GSkpKQlpZm/buvr691+pT//ve/yMzMxPHjx61B/cUXX8SgQYMwdepUvPDCC3Z1lpqaiqNHj8LLywsAULRoUYwdOxYnTpxAnTp1YLFY8OKLLyIiIgKbN2+2jvR/4YUXULt2bbz99tv49ddf7cqXV52MHj0a48ePt/usefPmGDRoEPbs2YPWrVujXr16aNSoEbZ8/z08MzIAAFUzM4F8pob58MMPkZCQgN27d1tHvo8aNQr16tXD66+/jl69etnVxcP2lYiIyFG7d+8GALz88st44YUXNDMtHBEREZHqLBbg3j21S/GAnx+QY9YCZyQmJuLGjRtITU3F3r17MX36dPj6+qJ79+7Yv38/0tLS0L9/f8yYMaPA9Wzfvh1Lly7Fq6++innz5lk/Hz9+vHUQ4oULFzBlyhS89957mDRpknWZvn37omHDhliwYIHd56QPnNpFgwICAvL9069fP7tlS5Uqle+yXbt2tVs2LCws32Vd8YLLpKQkALBLjudF+v7u3bt2n7/44osP3cbPP/8MALlGjL3yyisOl7NWrVp2I+ZLliyJ6tWr459//rF+5u3tbU3cZmZm4ubNmwgICED16tVx+PBhh7cluXv3LgICAnJ9PnToUJQsWdL65z//+Q8AwGKxYM2aNejRowcsFgtu3Lhh/RMZGYnExMRc5RgxYoQ1sQzAuo/Sfh09ehRnz57F4MGDcfPmTev6UlJS0KFDB+zatSvXyzPyqpOcyfsbN26gefPmAJCrTBVt/3LmTL7HZ9OmTWjatKk1iQ5k/w6ef/55xMXF4dSpU07tKxERkSPu3btnN6VLQkKCiqUhIiIi0ph794CAAO38ecSkfseOHVGyZEmUL18eAwcOREBAANauXYuyZctal3nppZceup41a9bAZDJhypQpub6TBi1GRUUhKysLAwYMsMvphIaGIjw8HNu3b3+kfSF1cEQ6uYyUIJcS6vnJL+FeqVKlh27jwoULcHNzy7Vs1apVHS5nhQoVcn1WtGhR3L592/p3aa6rBQsWIDY2FpmZmdbvpNHhzggMDERycnKuz6dPn44xY8YAADp16mT9/Pr167hz5w4WLlyIhQsX5rnOa9eu2f09534VLVoUAKz7dfbsWQDAsGHD8i1nYmKi9d8BedfJrVu3MG3aNKxcuTJXGXLOL2uXSL9xA7h1CyhWLNc6L1y4gGbNmuX6vGbNmtbvbUeaP2xfiYiIHHEmx03ey5cvOz19GxERERHpw/z581GtWjV4eHggJCQE1atXt3v63cPDA+XKlXvoes6fP48yZcqgWB75DcnZs2dhsVgQHh6e5/d8gak+MZGuQXklXCU5HzfOmci0ZRsMANi9dPNhyxZGcHAwSpcujWPHjhW43LFjx1C2bFkEBQXZff6oU8s4Kr9Htm3nZf/ggw8wefJkPPvss3j33XdRrFgxuLm54bXXXss1atsRNWrUwJ9//omMjAy7YFmvXr08l5e28fTTT+eb+M75bx+2X9I6P/74YzRo0CDPZXOOms+rTgYMGIB9+/bhzTffRIMGDRAQEICsrCx06dIl17EJy/mP//4b+P/R64/CkTokIiJ6mJxPPF26dCnX+0KIiIiIDMvPDyggR6W4AuYsd0TTpk2t85fnxXZ2gkeVlZUFk8mEzZs355nDyGvWAtI+JtI1yD+feaSVXLawunfvjkWLFmHPnj1203RIdu/ejbi4OLzwwguFWn/FihWRlZWF2NhYu7t6586dK3SZ87J69WpERERg8eLFdp/fuXMHJUqUcHp93bt3R0xMDNauXYsBAwY8dPmSJUsiMDAQmZmZ6Nixo9Pby0uVKlUAAEFBQYVe5+3bt7F161ZMmzYN77zzjvVzabS7LZPJZD8iHcie3iWPRHrFihVzjQoEsueWl74nIiJytZyJ9MuXL6tUEiIiIiINMpnyfdeZkVWpUgW//PILbt26le+o9CpVqsBisaBSpUqoVq2awiUkuXCOdHKpN998E76+vnjhhRdw8+ZNu+9u3bqFF198EX5+fnjzzTcLtf7IyEgAwIIFC+w+/+yzzwpX4Hy4u7vnGt28atUqXLlypVDre+mllxASEoJx48bh77//zvV9zm25u7ujX79+WLNmDU6cOJFr+evXrztdhsaNG6NKlSqYNWtWnk89OLJO6S5qzvLOnTs317L+/v4PEune3tn/zWee9G7duuHgwYPYv3+/9bOUlBQsXLgQYWFhqFWr1kPLRkRE5CwpkS49LcZEOhERERE9TL9+/WCxWDBt2rRc30n5kr59+8Ld3R3Tpk3LlUOxWCy5cmakDxyRTi4VHh6OZcuWYciQIahbty5GjhyJSpUqIS4uDosXL8aNGzfw/fffW0dHO6tx48bo168f5s6di5s3b6J58+bYuXOnNTlteoS3N9vq3r07pk+fjhEjRqBly5Y4fvw4li9fjsqVKxdqfcWKFcPatWvRo0cP1K9fHwMHDsRjjz0GT09PXLp0CatWrQJgP/f3hx9+iO3bt6NZs2YYNWoUatWqhVu3buHw4cP47bffcOvWLafK4Obmhq+//hpdu3ZF7dq1MWLECJQtWxZXrlzB9u3bERQUhJ9++qnAdQQFBaFNmzb46KOPkJGRgbJly+LXX39FbGxsrmUbN24MaRKbf8PDUebECZhPnswz6EyYMAHff/89unbtildffRXFihXDsmXLEBsbizVr1rjs0SoiIiJbkyZNQqdOnXD06FEsWrQIly5dUrtIRERERKRxERERGDp0KD799FOcPXvWOtXt7t27ERERgTFjxqBKlSp47733MHHiRMTFxaF3794IDAxEbGws1q5di+effx5vvPGG2rtCTmIinVyuf//+qFGjBmbMmGFNnhcvXhwRERGYNGmS3UsjC+Pbb79FaGgovv/+e6xduxYdO3bEDz/8gOrVq8PHx8cl+zBp0iSkpKRgxYoV+OGHH9CoUSNs3LgREyZMKPQ6W7RogRMnTmD27NnYuHEjfvjhB2RlZaFs2bJ4/PHHsXDhQrRu3dq6fEhICA4ePIjp06cjKioKCxYsQPHixVG7dm3MnDmzUGVo164d9u/fj3fffReff/45kpOTERoaimbNmjk83c6KFSvwyiuvYP78+bBYLOjcuTM2b96c6+Vsjz32GO77+ACpqZhz8iQ+BpCVz4j0kJAQ7Nu3D//5z3/w2WefITU1FfXq1cNPP/2EJ554olD7SkRE9DCPPfYYHnvsMWzYsAGHDh1CWFiY2kUiIiIiIh1YsmQJ6tWrh8WLF+PNN99EcHAwmjRpgpYtW1qXmTBhAqpVq4Y5c+ZYR6+XL18enTt3Rs+ePdUqOj0Ck4Vv53O5y5cvo3z58oiNjc3zgiw1NRWxsbGoVKmSyxK/Rnf06FE0bNgQ3333HYYMGaJ2cQgA7t4FgoOz///oUaBBg+wpXlJSgHxeFio3NX97GRkZ2LRpE7p168a3cxMRAMYFIsobYwMR5cS4QHJjnkp7HlYnUu7x0qVLKFeunAolNCbOl0C6c//+/VyfzZ07F25ubmjTpo0KJaI8XbiQ/d9ixYA6dQAvLyAtDbh4Ud1yERERIfsm/NKlS3O9cJSIiIiIiCgvwifS165di06dOqF48eLw8fFBpUqVMGjQoFxzYN69exevv/46KlasCG9vb4SFheHNN9/M86WMpK6PPvoIPXv2xJw5c/DZZ5+hW7duWLZsGZ577jmUL19e7eKRREqkV6yYPQK9atXsv+czvQsREZGSoqKiMGLECLsXZlssllwvgyIiIiIiIgIETqRbLBa88MIL6Nu3L2JjYzFw4EC89tpraN26Nfbt24cLUpIPQEpKCtq2bYs5c+agRo0aGDduHKpXr45Zs2ahffv2SE1NVXFPKKeWLVvi1q1bePfddzF+/Hj8/fffmDp1KubPn6920ciWbSIdAKpXz/4vE+lERKQB0kj0WrVqAch+aVRAQAAOHjyoZrGIiIiIiEijhH3Z6KeffoqFCxdi9OjR+PTTT+GeY05ms9ls/f+PPvoIR48exX/+8x98+OGH1s8nTJiAmTNnYs6cOZg4caJiZaeCderUCZ06dVK7GPQw+SXS//5bnfIQERHZyJlIT0tLw71793D58mU0a9ZMzaIREREREZEGCTki/f79+5g2bRoqV66MefPm5UqiA4CHR/Y9BIvFgq+//hoBAQGYPHmy3TKTJ09GQEAAvv76a0XKTSSUuLjs/3JEOhERaUx6ejrOnj0L4EEiXZoeLuf0f0RERERERICgI9J//fVX3L59GyNGjEBmZibWr1+Pv//+G0WKFEHHjh1RVZqrGcDZs2fx77//IjIyEv7+/nbr8ff3R6tWrfDLL7/g0qVLnH+byBk5R6RXq5b9XybSiYhIZefOnYPZbEZgYCDKli0LAChXrhwA4PLly2oWjYiIiIiINErIRPqhQ4cAAO7u7qhXrx7+tplKws3NDePGjcOsWbMAwDoaKTw8PM91hYeH45dffsHZs2fzTaSnpaUhLS3N+vekpCQAQEZGBjIyMnItn5GRAYvFgqysLGRlZRViD4m0z3ThAkwAssqXB7KygPDw7EdgLl9GVlISkOPGlRKysrJgsViQkZGR55MqcpJiQV4xgYiMiXFBPceOHQMA1KxZ0zrdX5kyZQAAFy5cYJ2QqhgbiCgnxgWSm9lshsViQWZmJvNUGpGZmQmLxQKz2Zznb992ympSjpCJ9GvXrgEAZs+ejUaNGuHgwYOoWbMmjhw5gueffx6ffPIJqlSpgpdeegmJiYkAgODg4DzXFRQUBADW5fIyY8YMTJs2Ldfnu3btss6/acvDwwOhoaFITk5Genq60/tHpHmpqSiSkAAASCpWDJa7dwFPTwQVKwa3W7eQcvQoMuvWVbxY6enpuH//Pnbt2qXaSWfLli2qbJeItItxQXnR0dEAgMDAQGzatAnAg/7jiRMnrJ8RqYmxgYhyYlwguZhMJoSGhuLmzZvWPBipKykpCSkpKdi2bRssFkuu72/cuKFCqUjIRLp098zLywvr1q2zjjBq3bo1Vq1ahfr16+OTTz7BSy+95JLtTZw4Ea+//rr171euXEGtWrXQpk0bhIWF5Vo+NTUVly5dQkBAAHx8fFxSBiJNiY8HAFj8/BAYFgaYTAAAU40awL598L98GWjVSvFipaamwtfXF23atFH8t5eRkYEtW7agU6dO8PT0VHTbRKRNjAvqadKkCYYOHYrixYujUaNGAIDixYvjo48+wr1799CtWzeVS0hGxthARDkxLpASEhIScPfuXbi5uSEwMBAeHh4w/f+1PCnHYrHg3r17SEpKQunSpdGgQYM8l7ty5Uqh1j9//nx8/PHHiI+PR/369fHZZ5+hadOm+S6/atUqTJ48GXFxcQgPD8fMmTPt+soWiwVTpkzBokWLcOfOHbRq1QpffPGF3cwf77//PjZu3IijR4/Cy8sLd+7cybWd33//HRMmTMChQ4dgMpnQtGlTfPTRR6hfv36h9lMuQibSpdHlTZo0sSbRJXXq1EHlypVx7tw53Llzx7psfiPO7969a7fOvHh7e8Pb2zvXv/H09MzzJJeZmQmTyQQ3Nze4uQn5vlcyuv9/UZspLAwm2ylUqlUD9u2D29mzgApt383NDSaTKd/fphLU3DYRaRPjgvLKli1rnRtdUqVKFTRq1AiVKlXihSNpAmMDEeXEuEByKlu2LAICAnDt2jXrlMWknqJFiyI0NDTfPqmHh/Mp3R9++AGvv/46vvzySzRr1gxz585FZGQkzpw5g1KlSuVaft++fRg0aBBmzJiB7t27Y8WKFejduzcOHz6MOnXqAAA++ugjfPrpp1i2bBkqVaqEyZMnIzIyEqdOnbIOYExPT0f//v3RokULLF68ONd2kpOT0aVLF/Ts2RMLFiyA2WzGlClTEBkZiUuXLmkq7gmZSK9evToAoEiRInl+L31+//596x0Saa70nB42hzoR5SHni0Yl///b5AtHiYhIa0qXLm19zw4RERGR0ZhMJhQpUgTBwcHIzMzkHNwq8vT0lOW9brNnz8aoUaMwYsQIAMCXX36JjRs34ptvvsGECRNyLT9v3jx06dIFb775JgDg3XffxZYtW/D555/jyy+/hMViwdy5c/H222+jV69eAIBvv/0WISEhWLduHQYOHAgA1umwly5dmme5Tp8+jVu3bmH69OnW91NOmTIF9erVw4ULF1C1alWXHodHIWQiPSIiAgDw119/5fouIyMD586dg7+/P0qWLInQ0FCUKVMGe/fuRUpKCvxtXoCYkpKCvXv3olKlSvm+aJSI8vCwRLrNC4CJiIiUdOnSJXz11Vdo2LAh+vXrp3ZxiIiIiDTFZDLBw8OjUCOeSXlJSUnWmTGA3LNmSNLT03Ho0CFMnDjR+pmbmxs6duyI/fv357nu/fv3201lDQCRkZFYt24dACA2Nhbx8fHo2LGj9fvg4GA0a9YM+/fvtybSH6Z69eooXrw4Fi9ejEmTJiEzMxOLFy9GzZo185wyW01CzitSpUoVdO7cGefOncPXX39t992HH36IO3fuoE+fPtbHdp977jkkJyfj3XfftVv23XffRXJyMkaNGqVk8akQli5dCpPJhLi4OJetc+rUqao81m0ymTB16lSXr3fHjh0wmUzYsWOHy9ediyMj0vN4WYYj2rVrZ32EiIiIyFm///473n//fXz44Yd5fm+xWDgCi4iIiIh0oVatWggODrb+mTFjRp7L3bhxA5mZmQgJCbH7PCQkBPH//567nOLj4wtcXvqvM+vMS2BgIHbs2IHvvvsOvr6+CAgIwM8//4zNmzdr7oaOkIl0AFiwYAFKlSqFUaNGoXv37njjjTfQoUMHvPPOO6hYsSI+/vhj67JvvfUW6tevj5kzZyIyMhITJ05EZGQkZs6cicceewyvvfaaejuiUydPnsTTTz+NsmXLwtvbG2XKlMGQIUNw8uTJR1rvBx98YL3zZWRxcXEwmUzWP56enihRogRatmyJSZMm4eLFi+oWML9EepUqsLi5AUlJuPT778qXi4iIDO/UqVMAsi86cho7diwCAgLw+eefK10sIiIiIiKnnTp1ComJidY/tiPO9eL+/fsYOXIkWrVqhZiYGOzduxd16tTBE088gfv376tdPDvCJtKrVKmCP/74A8OHD8ehQ4fw6aef4uzZs3j55Zdx8OBBhIaGWpf19/fHzp078dprr+Gvv/7CJ598gtOnT2P8+PHYunUrfH19VdwT/YmKikKjRo2wdetWjBgxAgsWLMDIkSOxfft2NGrUCGvXri30uvNLpA8dOhT3799HxZyJ20fw9ttva+4Hm9OgQYPwv//9D4sXL8bkyZNRuXJlzJ07FzVr1sTKlSvtlm3Tpg3u37+PNm3ayF+w/BLp3t5IKVkSAHBz3z75y0FERJRDQYl0Dw8P3Lt3D5cvX1a6WERERERETgsMDERQUJD1T17TugBAiRIl4O7ujoSEBLvPExIS7HKktkJDQwtcXvqvM+vMy4oVKxAXF4clS5bgscceQ/PmzbFixQrExsYiOjra4fUoQVvj412sfPnyWLJkiUPLBgcHY86cOZgzZ47MpRLb+fPnMXToUFSuXBm7du1Cyf9PmgLZo7xat26NoUOH4tixY6hcubLLtuvu7u7yFzHoYU6wRo0a4emnn7b77MKFC+jcuTOGDRuGmjVron79+gCy576S3pgsK7MZkBIQedzYSCpTBgEJCfC9dEn+shAREeVQUCK9XLlyAMBEOhEREREJxcvLC40bN8bWrVvRu3dvAEBWVha2bt2KMWPG5PlvWrRoga1bt9rN1LFlyxa0aNECAFCpUiWEhoZi69ataNCgAQDg7t27OHDgAF566SWHy3bv3j24ubnZTa8s/T0rK8u5HZWZsCPSSR0ff/wx7t27h4ULF9ol0YHsu19fffUVUlJS8NFHH1k/l+YiP336NAYMGICgoCAUL14cY8eORWpqqnU5k8mElJQULFu2zDqlyfDhwwHkPUd6WFgYunfvjh07dqBJkybw9fVF3bp1rXOER0VFoW7duvDx8UHjxo1x5MgRu/LmnCN9+PDhdtOp2P6xndM8LS0NU6ZMQdWqVeHt7Y3y5cvjrbfeQlpamt3609LSMG7cOJQsWRKBgYHo2bOnSy7cK1asiKVLlyI9Pd3uOOc1R/rZs2fRr18/hIaGwsfHB+XKlcPAgQORmJhoXcZkMmHMmDFYvnw5qlevbj1eu3btstvuhQsXMHr0aERUqwZkZiIdwICxY+3qZOnSpVj5/8d5w+zZ1uNnW6bNmzejbdu21ruqjz32GFasWJFrP0+dOoWIiAj4+fmhbNmydvtKRESUl8zMTJw+fRpA3ol06eXyl3izl4iIiIgE8/rrr2PRokVYtmwZ/vrrL7z00ktISUnBiBEjAADPPPOM3dQwY8eOxc8//2yduWPq1Kn4448/rIl3k8mE1157De+99x7Wr1+P48eP45lnnkGZMmWsyXoAuHjxIo4ePYqLFy8iMzMTR48exdGjR5GcnAwA6NSpE27fvo2XX34Zf/31F06ePIkRI0bAw8MDERERyh0gB2h7uK3BWCwW3Mu4p3YxrPw8/Zx+2eZPP/2EsLAwtG7dOs/v27Rpg7CwMGzcuDHXdwMGDEBYWBhmzJiBmJgYfPrpp7h9+za+/fZbAMD//vc/PPfcc2jatCmef/55ANlT+BTk3LlzGDx4MF544QU8/fTTmDVrFnr06IEvv/wSkyZNwujRowEAM2bMwIABA3DmzBm4ueV9f+mFF16wexMxAPz8889Yvnw5SpUqBSD7bl7Pnj2xZ88ePP/886hZsyaOHz+OOXPm4O+//7ablua5557Dd999h8GDB6Nly5bYtm0bnnjiiQL3x1EtWrRAlSpVsGXLlnyXSU9PR2RkJNLS0vDKK68gNDQUV65cwYYNG3Dnzh0EBwdbl925cyd++OEHvPrqq/D29saCBQvQpUsXHDx40Priz99//x379u3Dq23aALGxSCpSBL9t24Z27drh1KlT8PPzQ5s2bfBHu3bAjh14ompVhEyZAgCoWbMmgOxE+7PPPovatWtj4sSJKFKkCI4cOYKff/4ZgwcPtpbn9u3b6NKlC/r27YsBAwZg9erV+M9//oO6deuia9euLjmGREQkntjYWKSlpcHX1xdhYWG5vueIdCIiIiIS1VNPPYXr16/jnXfeQXx8PBo0aICff/7Z+rLQixcv2uXEWrb8P/buOz7m+w/g+Ouylz0TscWIvUdtJS2KarVGa/5oqSraKq1RFKV2aSlK0VJFjVbN2nurvUJIEBFEdnJ3vz+++V4Sksglt5K8n49HHncu3/veO8Td9/v+vj/vdyN+++03Ro8ezZdffomPjw8bNmww5IFAmTsZERHBgAEDePLkCY0bN2br1q3JOiKMHTuWX375xfDnmjVrArB7926aN29OxYoV2bx5M+PHj6dhw4bY2dlRs2ZNtm7diqenp7n/WowiiXQbEhkXiccUD2uHYRA+Khx3J/d0b//06VOCgoLo2LFjmttVq1aNTZs28ezZM3LlymV4vHTp0obeRx999BG5c+fmhx9+4LPPPqNatWq89957fPjhh5QpU+aFdiapuXLlCocOHTIsO/H19cXPz4/+/ftz+fJlSpQoAUC+fPn44IMP2LdvH82bN09xXw0bNjTsB5Qk/eDBg2ndujUffPABoPR12rlzJ3v37qVx48aGbatUqcKHH37IoUOHaNSoEWfPnmXlypUMGjSI+fPnG37mHj16cO7cuXT9bC9TpUoVNm7cSFhYGLlz537h+xcvXsTf358//viDt99+2/D42LFjX9j2/PnznDhxgtq1awPQtWtXKlSowNixY1m/fj0A7dq1U/azYgX88gsFatZky+TJNGzYkHXr1hla/txp2hT27KFEVBQVk/w7Pn36lCFDhlCvXj327NmT7E1Xr9cniycoKIjly5fz/vvvA9CvXz9KlizJkiVLJJEuhBAiVWpbl4oVK6bYEk6tSA8MDESr1Zq8bZwQQgghhMikZ89gxAho1w7at7d2NFnO4MGDU23lkrRbgKpLly506dIl1f1pNBomTJjAhAkTUt1m2bJlLFu2LM24WrduTevWrdPcxhZIaxdhMs+ePQNIlhxPifr9sLCwZI9/9NFHyf788ccfA7Bly5YMx+Tr65ss+V2/fn0AWrZsaUiiJ3385s2b6dpvREQEb775Jvny5WPVqlWGE+0//viDSpUqUbFiRUJCQgxfLVu2BJSrbUl/piFDhiTbb9K+U5nl4aFclFH/XZ6nVpxv27aNyMi0V0I0bNjQkEQHKFGiBB07dmTbtm1otVqAxKG8CYNGoz09KVeuHHnz5uXUqVOG5z7z8lK2v3cPYmMNj+/YsYNnz54xcuTIF3q5P78ywsPDI9nFFCcnJ+rVq5fufz8hhBA5U7t27bhx4wZLlixJ8ftFixbF3t4erVb7wtAkIYQQQghhAyZPhgULYORIa0ciciCpSLchbo5uhI8Kt3YYBm6ObkZtrybIU0vcqlJLuPv4+CT7c9myZbGzs0vWY9tYSZPlkJg8VivOnn/88ePH6dpv//79uXHjBocOHaJAgQKGx69du8alS5de6A+vCg4OBpR+4nZ2di+0pqlQoUK6Xj891F5TqV3YKF26NMOHD2fmzJn8+uuvNGnShA4dOvDee+8la+sCL/7bAJQvX57IyEgePnxI0aJFiYqKYsqUKVScOZPuwJTffmNCQm/zpD3Xo/Pn5xmQS6eDmzehYkVAGVQLJFsilBpvb+8Xkuv58uUzWTW/EEKI7Mne3j7NYef29vb4+fnh6OhIXFycBSMTQgghhBAvFRQEc+Yo969fB50OUmnPK4Q5SCLdhmg0GqNaqdiaPHny4Onp+dJk5rlz5yhWrFiK7UaSMrY/e0pSW5Kd2uPPtxBJyZw5c1i1ahUrV640TCVW6XQ6qlatysyZM1N87vMJfHM6f/48hQsXTvPvecaMGfTu3ZuNGzeyfft2hgwZYuhRr/aJTa+PP/6YpUuXcrF4cYiIoMtnn9HEz4+uXbsmn7Ks0XAVqA1w5YohkW6MzPz7CSGEEGlJaY6LEEIIIYSwARMnQlSUcj8mRkmsG5m7ECIz5LKNMKn27dvj7+/PgQMHUvz+/v37uXXrFu1T6GN17dq1ZH++fv06Op0u2TAwUyTXM2P//v189tlnDB06lB49erzw/bJlyxIaGkqrVq149dVXX/hSK85LliyJTqczVGGrrly5YpI4Dx8+zI0bN2jTps1Lt61atSqjR49m37597N+/n8DAQBYsWJBsm+f/bQCuXr2Km5ubofp+7dq19OrViwrOzgBUaduWxo0b8+TJk2TP0yQk0gElkZ5Arc4/f/58On9KIYQQIv10Oh3vv/8+EydOfGlLMyGEEEIIYWOuX4fFi5X7amvZ53IqQpibJNKFSX3++ee4urrywQcf8OjRo2TfCw0N5cMPP8TNzY3PP//8heeqQzdV33//PUCy4ZHu7u4vJGYt5d69e7zzzjs0btyY7777LsVt3nnnHQIDA1m0aNEL34uKiiIiIgJI/Jnmzp2bbJvZs2dnOs7bt2/Tu3dvnJycUvx7VoWFhREfH5/ssapVq2JnZ0dMTEyyxw8fPpysz/mdO3fYuHEjbdq0MVSH29vbo9fpICBA2ahkSb7//ntDD3WVu7s7hvR5kkR6mzZtyJUrF1OmTCE6OjrZc6TSXAghRGbdvn2blStXMmnSJJycnNLcVq/Xv/BZJIQQQgghrGjsWIiPh9degyZNlMckkS4sTFq7CJPy8fHhl19+oUePHlStWpV+/fpRunRpbt26xZIlSwgJCWHVqlUv9AYH8Pf3p0OHDrz22mscPnyYlStX0r17d6pXr27Ypnbt2uzcuZOZM2fi5eVF6dKlDYNCzW3IkCE8fPiQESNGsHr16mTfq1atGtWqVeP9999nzZo1fPjhh+zevZtXXnkFrVbL5cuXWbNmDdu2baNOnTrUqFGDbt268cMPP/D06VMaNWrErl27uH79ulExnTp1ipUrV6LT6Xjy5AnHjx9n3bp1aDQaVqxYQbVq1VJ97r///svgwYPp0qUL5cuXJz4+nhUrVmBvb89bb72VbNsqVarg5+fHkCFDcHZ25ocffgBg/Pjxhm3at2/PthUrQKdDr9HQ/+uv2bZ7d7Ie8gA1atRghUYDej0PDhxg9+rVtGzZksKFCzNr1iz+97//UbduXbp3706+fPk4e/YskZGR/PLLL0b93QghhBBJXbx4EVDmkTg4pH4IvHTpUgYPHswbb7zxwue9EEIIIYSwgjNnYNUq5f7kyaAWL0oiXViYJNKFyXXp0oWKFSsyZcoUQ/K8QIECtGjRgi+//DLVYZK///47Y8eOZeTIkTg4ODB48OAXKr9nzpzJgAEDGD16NFFRUfTq1ctiifSHDx+i1WoZPnz4C98bN24c1apVw87Ojg0bNjBr1iyWL1/On3/+iZubG2XKlOGTTz6hfPnyhuf8/PPPFCpUiF9//ZUNGzbQsmVL/v77b6P6qK9atYpVq1bh4OBA7ty58fHxYejQoXz44YcvDFp9XvXq1fHz82Pz5s0EBgbi5uZG9erV+eeff2jQoEGybZs1a0bDhg0ZP348AQEB+Pr6smzZsmSJ+jlz5jAvNBT++osg4G5wMDt37sTPzy/ZvooWLcrbX30F33yD5upVunXrxu7duylcuDD9+vWjcOHCfPvtt0ycOBFHR0cqVqzIsGHD0v13IoQQQqRETaT7+vqmuV2uXLmIjIzkzp07lghLCCGEEEK8zFdfKbfvvgs1a4JanCmJdGFhGr30TDC5u3fvUrx4cfz9/ZP191ZFR0fj7+9P6dKlcXFxsXyANubrr79m/PjxPHz4kIIFC1o7HPEcjUbDRx99xLx5816+8Zo1ygdbo0Zw8GDq2z17BuoQ1NBQyJfPNMG+hDX/78XFxbFlyxbatm2Lo6OjRV9bCGGb5H3Bsvr06cOyZcuYMGECY8aMSXW7I0eO0LBhQ0qUKMHt27ctGKEQCnlvEEI8T94XRI62fz80bQr29nDpEvj4wIYN8OabUKcOHD9u7QitQs093rlzB28ZuGox0iNdCGE6asKhZMm0t8uVC7y8lPsmGrAqhBBCpCW9FenqyrDAwMAX5nwIIYQQQggL0uth1Cjl/v/+pyTRQSrShdVIIl0IYTrpTaQDVKig3F69ar54hBBCCJThoelNpBctWhR7e3u0Wi0PHjywRHhCCCGEECIlf/+trHZ3cYGkKwrLlFFuHz9WvoSwEEmkCyFMR02kp9DS6AVqIl0q0oUQQpjZ/fv3iY6OxsHBgXLlyqW5rb29PZ6enoCyZFYIIYQQQliBTgdffqncHzIEihVL/J67OxQtqty/edPysYkcSxLpwuq+/vpr9Hq99Ee3UXq9Pn390cG4inR18Kok0oUQQpiZp6cnkZGRXL58OV29ZdX2LjJwVAghhBDCSlatgv/+gzx54IsvXvy+WpUu7V2EBTlYOwAhRDaSkdYukkgXQghhAY6OjpRV+2m+RLNmzShcuDD58+c3c1RCCCGEEOIFsbEwdqxyf8QISOmYrGxZOHRIEunCoiSRbkV6vd7aIQhhOk+eQFiYcr9EiZdvrybSr11TlmzZmX+BjPyfE0IIkR5TpkyxdghCCCGEEDnX4sVKy5YiReCTT1LeRgaOCiuQ1i5WoC4pjoyMtHIkQpiQWo1esKDSr+xlSpUCR0eIiYGAALOGplL/z6VnWb8QQojs43//+x+9evXi8uXL1g5FCCGEEEKkJSICJkxQ7o8Zk3p+QRLpwgqkIt0K7O3tyZs3L8HBwQC4ubmh0WisHJUQmWN37RpOgK5ECWKjo9P1HKeyZbG7fJnY//5Dpw4KMQO9Xk9kZCTBwcHkzZsXe3t7s72WEEII26LX61m7di1Pnz7l888/N+p54eHh5MqVy4zRCSGEEEKIZObOhQcPoHRp6N8/9e0kkS6sQBLpVlI0IWmoJtOFyOrynTpFUSC8QAEC/f3T9RzvYsXIdfkyoYcP87hcOfMGCOTNm9fwf08IIUTOcO/ePZ4+fYq9vT0+Pj7pes7p06d55ZVXKFSoELfVFVdCCCGEEMK8QkNh6lTl/oQJ4OSU+rZqIv3uXWWlu7Oz+eMTOZ4k0q1Eo9Hg6elJ4cKFiYuLs3Y4QmSaQ0QEAG4VK1K6dOn0PadGDdi1i4KhoeRN53MyytHRUSrRhRAiB7p48SIA5cqVwzmdJ1iFChUiKiqKoKAgtFqtfH4IIYQQQljCtGnw9ClUrQrduqW9baFC4OEB4eHg7w8VK1omRpGjSSLdyuzt7eXkTGQPgYEAOJQti4OLS/qeU7my8pwbN9L/HCGEEMIIaiLd19c33c/x9PTE3t6e+Ph4Hjx4gJeXl7nCE0IIIYQQAEFBMGeOcn/SJHhZrkyjUarSz55V2rtIIl1YgAwbFUKYhrr0vWTJ9D+nfHnl9soV08cjhBBCABcuXACMS6Tb29vj6ekJwN27d80SlxBCCCGESGLiRIiOhkaNoH379D1H+qQLC5NEuhDCNNREeqlS6X9OhQrK7Z07ymRuIYQQwsQyUpEOULx4cQDu3Llj8piEEEIIIUQSgYGweLFy/9tvlWrz9JBEurAwSaQLITIvMhIePlTuG1ORXrAg5M+v3L9+3fRxCSGEyPFiY2PRaDRGJ9K9vb0BqUgXQgghhDC7c+cgPl5p/9qkSfqfJ4l0YWGSSBdCZF5AgHKbKxfkzWvcc9WqdGnvIoQQwgyOHj1KREQEVatWNep5UpEuhBBCCGEhCTPXjCrMA0mkC4uTRLoQIvOS9kdP7xIslSTShRBCmJmrq6vRw93r1KlDp06dqJwwGFsIIYQQQpiJmkgvVsy456mJdH9/0OlMG5MQKXCwdgBCiGwgI4NGVTJwVAghhA3q1q0b3bp1s3YYQgghhBDZX0YT6cWLg4MDxMQo+0hYUSiEuUhFuhAi8zKTSJeKdCGEEGYycuRIGjduzPr1660dihBCCCGESE1GE+kODlCqlHJf2rsIC5BEuhAi80yRSL96FfR608UkhBAixzty5AgHDx4kIiIiQ8/X6/U8evQInSwVFkIIIYQwn4wm0kH6pAuLkkS6ECLzbt1SbjOSSC9XTumrHhYGDx6YNCwhhBA528WLFwEy1Odcp9ORJ08eChYsyP37900dmhBCCCGEUEkiXWQRkkgXQmReZirSnZ0Tl2JJexchhBAm8vDhQx4+fIhGo6FixYpGP9/Ozo48efIAcPfuXVOHJ4QQQgghQOlvHhKi3JdEurBxkkgXQmROXBwEBSn3M5JIB+mTLoQQwuQuXboEQKlSpXBzc8vQPoonDKy6c+eOyeISQgghhBBJqPkEZ2fIn9/450siXViQJNKFEJlz9y7odMqHXpEiGdtH0j7pQgghhAmobV18fX0zvA9vb29AKtKFEEIIIcwmaVsXjcb450siXVhQtk2klypVCo1Gk+JX8+bNX9g+JiaGCRMm4OPjg4uLC15eXgwYMIDg4GDLBy9EVqK2dSlRAuwy+JYiFelCCCFMTBLpQgghhBBZQGb6owOUKaPcPnkCoaEmCUmI1DhYOwBzypMnD0OHDn3h8VJqP+YEOp2Ojh07sm3bNho0aMBbb73FtWvXWLx4Mbt27eLIkSMUKlTIMkELkdVkpj+6qnx55VYS6UIIIUzE3d2dEiVKZGjQqEpauwghhBBCmFlmE+lubuDpCffuKVXpGWkPI0Q6ZetEet68efn6669fut0vv/zCtm3b6NatG7/++iuahKUkCxYsYODAgYwePZqFCxeaOVohsihTJNLVivSbNyE2FpycMh+XEEKIHG3KlClMmTIFvV6f4X1IRboQQgghhJllNpEOSnsXNZFet65p4hIiBdm2tYsxFi1aBCgnXJok/Zg++OADypQpw6+//kpUVJS1whPCtpkikV6sGLi7g1YL/v6miUsIIYSAZMd2xqpYsSKdOnWidevWJoxICCGEEEIYmCqRDtInXZhdtq5Ij4mJYdmyZQQFBZE7d27q1q1L/fr1k20THR3N0aNHqVChAiWfSwRqNBpat27NwoULOXHiBE2aNEn1dWJiYgx/fvbsGQBxcXHExcWZ+KcSwrbY37qFHRBfrBj6TPy+O/j4oDlzhvgLF9CrPc6yEfW9QN4ThBAqeV8wH71en6kEuqpixYqsWbMGkH8nYTny3iCEeJ68L4jszP7uXSWnUKRIhnMKdqVKYQ/orl1Dm0P+n8THx1s7hBwpWyfS79+/T58+fZI9VrduXVatWkXZhKtVN27cQKfT4ePjk+I+1MevXbuWaiJ9ypQpjB8//oXH9+3bZxh0JUR21erSJTyAI/fu8WjLlgzvp7aHB97AlU2buG5vb7L4bM2OHTusHYIQwsbI+4LpbdiwgQ0bNtC6dWt69Ohh7XCEyBB5bxBCPE/eF0R29Or167gDhwMCCM1gTqFYWBh1gNATJziYibxEVhISEmLtEHKkbJtI79OnD02aNKFKlSp4eHhw9epVZs6cyYoVK2jVqhX//fcfuXLl4unTp4AymDQluXPnBjBsl5JRo0YxfPhww58DAwPx9fWladOmLww2FSJb0elwePQIgPrvvAOZ+H23O34cDhygkp0d5du2TX1DrRbNwYNo1q0De3t006aBg+2/lcXFxbFjxw5at26No6OjtcMRQtgAeV8wn3nz5vHkyRPq169P27Q+U9JBr9cTGhqKq6srbm5uJopQiNTJe4MQ4nnyviCyLb0eh8ePAWjw1lsZziloChaEWbMo8ORJpo/9sopAtSWOsCjbzz5l0Lhx45L9uUaNGixfvhyAFStWsGjRomTJ78xwdnbG2dnZ8OewsDAAHB0d5UNOZG9BQcpwUDs7HEuVgsz8vvv6AmB3/Tp2z+9Hp4PDh+H332HtWmWISAL711+HLPRBKe8LQojnyfuCaUVFRbF//34A2rZtm+m/2+bNm7N3717WrVtH586dTRGiEOki7w1CiOfJ+4LIdh4+VHIKgGPJkhnPKVSoAIAmMBDH+HhwdTVVhDbLIQsUFGZHOW7Y6AcffADAwYMHgcRK9NQqztWkeGoV60LkaOqg0WLFMpdEB8MHH1euKLd6PRw5AsOGQYkS0LgxfP+9kkTPkwfUPup79mTudYUQQmQr+/btIyYmBm9vbypWrJjp/RUuXBiAO3fuZHpfQgghhBAiCbWqulAhcHLK+H4KFICEjhL4+2c+LiFSkeMS6QULFgQgIiICgDJlymBnZ8e1a9dS3F59PLUe6kLkaGoi3RQtjMqXV26Dg2HoUGWfDRvC7NnKh2vu3PD++/DXX8o26lwCSaQLIYRIYvv27QC0adPGJANHvb29Abh7926m9yWEEEIIIZJQE+nFimVuPxoNJMxC5MaNzO1LiDTkuET60aNHAQy9y11dXalXrx5XrlzhtpoUTKDX69mxYwfu7u7UqVPH0qEKYfvU/zMlS2Z+X7lygaencn/OHAgIAA8P6N4dNm6EBw9g+XJo1065Ut28ubLtyZOQsHJECCGEUBPpfn5+Jtlf8eLFAalIF0IIIYQwOVMl0kES6cIismUi/fLly0RGRqb4+BdffAFA9+7dDY8PGDAAUIaG6vV6w+MLFy7k5s2b9OjRA9cc0F9JCKOZMpEO0KuXsiTr3Xdh3Tql8vzXX6FDB3BxSb6ttzeUK6f0Tz9wwDSvL4QQIksLDAzk/PnzaDQaWrVqZZJ9SkW6EEIIIYSZSCJdZDHZsjP96tWrmTlzJk2bNqVkyZK4u7tz9epVtmzZQlxcHKNGjaJp06aG7Xv16sXvv//OqlWr8Pf3p1mzZly/fp3169dTunRpvvnmGyv+NELYMFMn0qdMUb7Sq3lzuH4ddu/OUgNHhRBCmIednR1fffUVgYGBFChQwCT7lIp0IYQQQggzURPpCYULmSKJdGEB2TKR3qJFCy5dusTp06fZv38/kZGRFCxYkLZt2zJo0CDatGmTbHs7Ozs2btzIt99+y4oVK5g1axb58+enX79+fPPNNxQqVMhKP4kQNs7UiXRjNW8OixdLn3QhhBAAeHp6mrwAQq1IDwoKQqvVYm9vb9L9CyGEEELkWFKRLrKYbJlIb9asGc2aNTPqOc7OzowbN45x48aZKSohshm93vqJdPX/+alT8PQp5MljnTiEEEJkW56enrz55pt4e3sTExODm5ubtUMSQgghhMgezJFI9/cHrRak+EGYQbbskS6EsIDHjyE8XLlfooR1YpA+6UIIIRL4+/uzadMmnj17ZtL92tvbs379eubOnStJdCGEEEIIUzJlIt3bGxwdIS4OZLaNMBNJpAshMubWLeW2cGGw5jDe5s2VW2nvIoQQOdrq1avp2LEjPXv2tHYoQgghhBDiZaKiIDRUuW+KRLq9PZQurdy/eTPz+xMiBZJIF0JkjLXbuqgkkS6EEALYtm0bAK1btzb5vvV6PSEhIYSEhJh830IIIYQQOVJQkHLr6gp585pmn9InXZiZJNKFEBlja4l0tU+6EEKIHOfZs2ccOnQI4IWh8qYwYsQIChUqxNSpU02+byGEEEKIHClpWxeNxjT7lES6MDNJpAshMkZNpJcqZdUwKFYMfHyUPun791s3FiGEEFaxd+9e4uLiKF26NGXVEygT8vLyAuDOnTsm37cQQog03LgB334LERHWjkRkJQ8ewOTJcP++tSMRaTFlf3SVJNKFmUkiXQiRMbZSkQ7S3kUIIXK47du3A+Dn54fGVBVNSXh7ewNwVwZXCSGE5dy/rxznjxoFs2ZZOxqRlcycCV99Jb83tk4S6SILkkS6ECJjJJEuhBDCRqj90c3R1gWgePHigFSkCyGExURHQ6dOoF7AXL/equGILObcOeX2yhXrxiHSZo5Eepkyyu2NG6DXm26/QiSQRLoQImNsKZHerJlye/o0PHli1VCEEEJY1p07d7h69Sr29va0bNnSLK+hVqQHBQWh1WrN8hpCCCES6PXQvz8cPaoMILSzU47z1fMPIV7m0iXl9tYtq4YhXsKcifSnTyE01HT7FSKBJNKFEMaLiIBHj5T7tpBIT9on/cABa0cjhBDCgry9vbl27RqrVq0iT548ZnmNokWLYmdnR3x8PMHBwWZ5DSGEEAmmToWVK8HeHtauhcaNlcc3bLBqWCKLiIxMvOji7y9VybbMHIl0V1dImG0j7V2EOUgiXQhhPPXAJE8e5csWtGih3Ep7FyGEyFE0Gg3lypWjS5cuZnsNBwcHGTgqhBCWsHEjfPmlcn/uXGjVCt58U/nzn39aLy6RdSRt5xIWBo8fWy8WkTZzJNJB+qQLs5JEuhDCeLbU1kUlfdKFEEKYUY8ePfj444/JmzevtUMRQojs6dw56NFDqSAeNEj5AqVXOsD+/RASYrXwRBahtnVR+ftbJw6RNp0OgoKU+5JIF1mIJNKFEMZTe83ZUiJd+qQLIUSOc/z4cTp37szKlSvN/lrffvstc+fOpXz58mZ/LSGEyHGCg6FDB6WFZKtWMHt24vdKlYIaNZTE2+bNVgpQZBmXLyf/s/RJt00hIRAXBxoNeHqadt+SSBdmJIl0IYTxbLEi3csLypdXDrD377d2NEIIISxgy5Yt/Pnnn2zcuNHaoQghhMiomBjo3Fk5xyhXDtasAUfH5NuoVenSJ128jFSkZw1qW5fChV/8/55ZkkhP0/z58ylVqhQuLi7Ur1+fY8eOpbn9H3/8QcWKFXFxcaFq1aps2bIl2ff1ej1jx47F09MTV1dXXn31Va5du5Zsm0mTJtGoUSPc3NzSXN25bNkyqlWrhouLC4ULF+ajjz7K8M9pLpJIF0IYzxYT6SDtXYQQIofZvn07AH5+fmZ/Lb1eT0hICLfVz0AhhBCZp9fDwIFw8KAye2nzZsif/8Xt1D7p27crVetCpEatSK9RQ7mVRLptMld/dJBEehp+//13hg8fzrhx4zh16hTVq1fHz8+P4ODgFLc/dOgQ3bp1o1+/fpw+fZpOnTrRqVMnzp8/b9hm2rRpzJ07lwULFnD06FHc3d3x8/MjOjrasE1sbCxdunRh4MCBqcY2c+ZMvvrqK0aOHMmFCxfYuXOnRY7xjSWJdCGE8dSr/La2vF0S6UIIkWM8efKEo0ePAtC6dWuzv97atWspVKgQPXr0MPtrCSFEjjFzJixdCnZ28PvvULFiyttVrQplykB0NGzbZtkYRdYRHw9Xryr327ZVbqW1i22yRCI9KAiioky//yxs5syZ9O/fnz59+uDr68uCBQtwc3Pj559/TnH7OXPm8Nprr/H5559TqVIlJk6cSK1atZg3bx6gFJrMnj2b0aNH07FjR6pVq8by5csJCgpiQ5IVROPHj2fYsGFUrVo1xdd5/Pgxo0ePZvny5XTv3p2yZctSrVo1OnToYPK/g8ySRLoQwjjx8YlX+atUsW4sz1MT6dInXQjruHVL/u8Ji/n333/RarVUqFCBkhZYIeXt7Q3A3bt3zf5aQgiRI2zZAp9/rtyfORPSqjzUaBLbu/z5p9lDE1mUvz/ExoKra+IMLalIt03mTKTnz6+scAG4edP0+7cxz549IywszPAVExOT4naxsbGcPHmSV1991fCYnZ0dr776KocPH07xOYcPH062PSgrQdXt/f39uX//frJt8uTJQ/369VPdZ0p27NiBTqcjMDCQSpUq4e3tzTvvvMOdO3fSvQ9LkUS6EMI4N24ofQzd3JTBP7bE0xMqVFCWiEqfdCEs68wZpfrD2xuGDMkRB63CuizZ1gWgePHiAAQGBqLVai3ymkIIkW1duABduyrH7f37K8cOL6O2d/nrL2VIoRDPUwu+KlRQVjCAUuih11stJJEKcybSNZoc1d7F19eXPHnyGL6mTJmS4nYhISFotVqKFCmS7PEiRYpw//79FJ9z//79NLdXb43ZZ0pu3ryJTqdj8uTJzJ49m7Vr1xIaGkrr1q2JjY1N934sQRLpQgjjXLig3FaqpCzBtDXS3kUI69i/Xxn2GxEB338PPj7QpQscOWLtyEQ2pNfr2ZawtL9NmzYWec2iRYtiZ2dHfHx8qn0khRBCpENICHToAM+eKVXD8+Ypia+XadgQChVSVr/t3Wv2MEUWpLYgrVgRSpRQfq+iouDBA+vGJV5kzkQ65KhE+sWLF3n69Knha9SoUdYOyWg6nY64uDjmzp2Ln58fDRo0YNWqVVy7do3du3dbO7xkbDALJoSwaWoi3dbauqjURLqNvdkKke2pk9nbtVOWZut0sHatctLbuLGyDFuqeIWJPHv2jGLFiuHm5kYzdem2mTk4OODl5QVgk8tMhRAiy5gxQ1m5Vrq0cqzg5JS+59nbQ8eOyn1p7yJSoibSK1VSfq8S2rJJn3QbpLbKk0R6puXKlYvcuXMbvpydnVPcrmDBgtjb2/PguQtLDx48oGjRoik+p2jRomlur94as8+UeHp6Akp1vapQoUIULFiQgICAdO/HEiSRLoQwjjqduXJl68aRGjWhcuYMPH5s1VCEyFGuX1duO3aErVvh3Dno3RscHeHgQejcWakO+uEHiIy0aqgi68udOzcHDhzg4cOHeHh4WOx1pU+6EEKYgJrs/PRTKFjQuOeqfdI3blQu2guRlNraRR1aW7q0cit90m2PVKRbnJOTE7Vr12bXrl2Gx3Q6Hbt27aJhw4YpPqdhw4bJtgeln7m6fenSpSlatGiybcLCwjh69Giq+0zJK6+8AsCVK1cMj4WGhhISEmKRWUjGkES6EMI4akW6rSbSpU+6ENahVqT7+Ci3VavC0qVKBdCoUZAvn5Js/+gjKF4cxoxRlnQLkQlubm4WfT21T7pUpAshRCao76ElShj/3FatwMNDScKdOGHauETWptcnr0iHxJlekki3LZGRSosmkES6hQ0fPpxFixbxyy+/cOnSJQYOHEhERAR9+vQBoGfPnslaw3zyySds3bqVGTNmcPnyZb7++mtOnDjB4MGDAdBoNAwdOpRvvvmGTZs28d9//9GzZ0+8vLzopF74BAICAjhz5gwBAQFotVrOnDnDmTNnCA8PB6B8+fJ07NiRTz75hEOHDnH+/Hl69epFxYoVadGiheX+gtJBEulCiPSLi4OrV5X7tppIB+mTLoSlxcUlnqCoiXSVlxdMngwBATB3rlIZFBoK33wDn3xi+VhFlhcfH89jK604atu2LUOGDKF69epWeX0hhMgW1ER6wsVJo7i4QNu2yv0NG0wWksgG7t+Hp0+VOV7q8ahakS6tXWyLWo3u7g558pjnNdRE+q1b0l4yiXfffZfp06czduxYatSowZkzZ9i6dathWGhAQAD37t0zbN+oUSN+++03fvrpJ6pXr87atWvZsGEDVZK0+h0xYgQff/wxAwYMoG7duoSHh7N161ZcXFwM24wdO5aaNWsybtw4wsPDqVmzJjVr1uREkguiy5cvp379+rRr145mzZrh6OjI1q1bcXR0tMDfTPpp9HoZX2xqd+/epXjx4vj7+1NKvQIqRHZw8aKSQPfwgLCw9A0FsobVq6FbN6hZE06dsnY0AMTFxbFlyxbatm1rcx8EQmTa9evKCYurK4SHpz2IWKuFhQuVyvQiReDePdt9LzEzeV/ImH379tGiRQvatWvHpk2brB2OECYn7w0iW4uOVo4XQBk6WqCA8ftYtQq6d1fad6gVyNmcvC+kw+7d0LKlkkBVWw7+8ovSavDVV2HHDquGJ5LYswdatIDy5SFJKw+T0mrBzQ1iY5WCn2yYm1Nzj3fu3DG0HxTmJxXpQoj0S9of3ZYTX2pFuvRJF8Iy1LYu5cqlnUQHZVBY375K7/QHD2SprTDa9u3b0el05MqVy6pxPHjwgEWLFlk1BiGEyHLUGROurpA/f8b20batchxx+XJiT2whnm/rAtLaxVaZuz86KOcc6ooEae8iTEgS6UKI9LP1/uiqokWVChXpky6EZTzfH/1lXFygVi3l/uHD5olJZFvbtm0DoE2bNlaLITIyktatWzNgwADGjRuHLPAUQoh0StrWJaOFOXnyKJXHIO1dRCL1okrSRLqaSA0IkPYetsQSiXSQPunCLCSRLoRIPzWRnqQfls1Sq9J377ZqGELkCOry2XLl0v+cRo2U20OHTB+PyLZCQkI4efIkYN1EupubG926dQNgwoQJfPbZZ5JMF0KI9MjMoNGk3nxTuf3zz8ztR2QfakV6xYqJjxUrpqxeiIuDoCDrxCVeJIl0kYVJIl0IkX5JW7vYOhk4KoTlGFuRDtCwoXIrFenCCLt27UKv11O1alU8PT2tGsuoUaOYO3cuADNnzmTgwIHodDqrxiSEEDYvM4NGk+rYUaloP3YsMSkncraUWrvY2ydetJH2LrZDEukiC5NEuhAifWJiEqtOs0IivVkz5fbsWQgNtW4sQmR3mUmknz2rDCgVIh3Uti5+fn5WjkTx8ccfs2TJEjQaDQsXLqR3797Ex8dbOywhhLBdpkqkFy0KDRoo9zduzNy+RNb37FlicjZpRTpIn3RbJIl0kYVJIl0IkT5Xrih95fLkAS8va0fzctInXQjLiIuDW7eU+8Yk0r29lZNonQ6OHzdLaMJ26PV6dDod8fHxxMXFERsbm+z70dHRREZGpvql7mP79u2Addu6PK9v37789ttv2Nvbs2LFCj7//HNrhySEELbLVIl0SGzvIn3ShdofvUgRyJcv+ffUPunq8aqwPmsk0qUFnzARB2sHIITIIpL2R8/oYCBLa95cOajas0dZ/imEML1bt5SLbG5uYGyrjUaN4PfflT7pLVqYJbycSK/XExoamuzr8ePHhvsFChTgo48+MmzfqVMn7t27h6OjIw4ODjg4OBjulyxZknnz5hm2/eyzz7h9+zZRUVFERUURHR1tuC1atCj//vuvYdu6dety4sSJFGMsXLgwDx48MPzZz8+Pffv2pbitm5sbERERaLVaxo0bx86dO2ncuHFm/5pMqmvXrri6ujJixAiGDRtm7XCEEMJ2mTKR3qkTjBihzER6/PjFBKrIOVJq66JSE+lSkW4bdDq4d0+5b+5EeunSSu7i2TMICYFChcz7ehmk0+m4c+cO165d4+rVq7Rs2ZKKz6+sEDZDEulCiPTJSv3RVS1awIIF0iddCHNS27qUK2f8RbaGDZVEuvRJzzC9Xs+dO3cICQmhVq1aAMTFxVGsWDFiYmJSfE7NmjWTJdLPnDnD7du3U9y20nMnpFu3buWCemH1Oc+ePXshtrTiNpaDgwP9+/enf//+Rj/XEjp27Ejbtm1xdHQ0PKbT6bCzkwWgQghhEBCg3Joike7jo5ybXLgAf/8N772X+X2KrEmtSE8p+SitXWxLcDDEx4OdnbKK3JxcXJRk/d27SlW6CRLpWq2WoKAgbt++TdGiRSlXrhwAsbGxnDt3DldXV9zc3JLdJj02BLhz5w5z587l2rVrXLt2jRs3biQ7bp8/f74k0m2YJNKFEOmjJk6yUiL9+T7p+fNbNx4hsqOM9EdXNWqk3B4+rFSnSMLxpYKDgzlx4gTHjx83fAUHB1OtWjXOnj0LgJOTE9WrV+fSpUvkz5//ha+y6jLXBEuXLiU8PJy4uDhD6xX1Nnfu3Mm2HTlyJE+fPsXV1RUXFxdcXV0N93PlypVs261btxIfH49Go8HOzu6F2+e3zQ6DOpOeKK1bt45Zs2axefNm8kmVpBBCKFWhT58q902RSAelKv3CBaW9iyTScy6pSM861LYuRYqAgwVSkmXLJibSE+Yq6PV6Q9vB52/t7e1xdnYG4P79+8ybN4/bt28TEBDA7du3uXv3LlqtFlAGz0+ePBmABw8eULdu3RRDsLe3Z8KECXz55ZcAxMTEMH369GTbODo6UrZsWXx8fChm7kp9kSmSSBdCpE9WTKQXKaIcTF26BPv2KQfaQgjTUocQJ1RjGKV6daVSJDQUrl5NuYooB9Pr9WiSVPm3bNmS3bt3v7Cdvb09jo6OaLVa7O3tATh8+HC6K6FbGNFW5z0jkhQFCxZM97aurq7p3jYriIiIYPDgwdy/f5+uXbuyZcsWw7+NEELkWGpblzx54LmLrxn25pswaRL88w9ERUE2+zwR6ZSeRHpgIMTGgpOT5eISL7JUf/QE+jJl0Ozdaxg4evPmzReKSpIaNGgQ8+fPB5QZPpMmTXphGwcHB7y9vXFzczM8ptVqKV68OFFRUURGRhIVFWVYganVarl48aJh21KlSjFkyBB8fHzw8fGhfPnylChRQo4VTSAqKopjx45x9+5dQkJCcHNzo1ChQlStWjXNf3dj5JhE+tSpUxk5ciSgnFw2UCd8JwgLC+Prr79m3bp13L9/H09PT7p06cK4cePw8PCwRshC2I6oqMRJ11WqWDcWYzVvrhxY7dkjiXQhzCEzFelOTlC3rjIQ+PDhHJ9Ij4+P5/Tp0+zbt4/9+/dz4cIFrly5YkiIF01Y/lqhQgXq1q1r+KpRo8YLiWhpJ2Jd7u7u/PPPPzRq1Ijt27czceJEvv76a2uHJYQQ1mXK/uiqWrWU/d25Azt3whtvmG7fImuIi0s8V03pWLJIEaVwIzpa+T0xUTJNZJCFE+m7AwJoCfhv2kTpMWOSFamkJGn7wWLFijFw4EBKlixJiRIlDLeenp4vJL1LlSpFgNq6KmE/MTExhsR60mNzBwcH5syZY5ofUBAVFcXq1atZtmwZR44cIT4+HnixKMnT05M333yTAQMGULVq1Qy/Xo5IpJ8/f55x48bh7u5ORETEC9+PiIigWbNmnDlzhjZt2tCtWzdOnz7N9OnT2bt3L/v27cPFxcUKkQthIy5dUqZcFygAhQtbOxrjNG8OP/4ofdKFMJfMJNJB6ZO+f78ycLRPH9PFlUX4+/szZcoUDh48yKFDhwgPD0/2/QsXLhgO9KZNm8aPP/5Injx5rBGqMFKNGjVYuHAhPXv2ZMKECTRo0IDXXnvN2mEJIYT1mCORrtEoxTLffw9//imJ9Jzo+nWl57a7O3h7v/h9jUbpk375stLeRRLp1mXhRPr20FBaAqVPnoQ+fSgxdy7BwcGGdoPPtx5M2qbP0dGRH374IUOvq9FocHFxwcXFRVr8mUlsbCyzZ8/m22+/5cmTJ7i5udGgQQPq1KlDkSJFyJ8/P1FRUYSGhnLlyhWOHj3K/Pnz+eGHH2jZsiXTp0+nevXqRr9utk+kx8XF0atXL2rUqIGPjw8rV658YZtp06Zx5swZvvjiC7799lvD4yNHjmTq1KnMmjWLUaNGWTJsIWxL0rYuxg4TtLakfdLv3zf/QBMhcpLYWLh1S7mfkdYukLxPejam1Wq5fPkyx44do0OHDhQoUACAQ4cO8ccffxi2y5s3L40bN6Zp06Y0bdo02aAh75RODoVNe//99zl48CALFy6kR48enDp1ipIlS1o7LCGEsA5zJNJBae/y/fewaZOSULVE32VhO5IOGk3tXLV0aWU79bhVWI8FE+nx8fHMu3IFDTDZzg7NL79gf/w4hdauTbkNkMhSypcvT2BgIB07duS9996jXbt2Lwx2fd7NmzdZsWIFv/zyC7Vr12bRokX0MbKYK9uv+500aRIXLlzg559/TrHfkF6vZ/HixXh4eDBmzJhk3xszZgweHh4sXrzYUuEKYZvURHpWa+sCylI+tZXT999bNxYhsptbt5Qhoe7u4OmZsX00bKjcXrgAT56YKjKrCwwMZP369YwcOZKWLVuSL18+qlSpQt++fTl48KBhuxo1avD222/z/fffc/bsWR49esTmzZv5/PPPqV+//ksPBoXtmz17NnXq1CE0NJQuXboQExNj7ZCEEMI6zJVIb9IE8ueHR48gyWesyCHS6o+ukoGjtsOCifTTp08TERnJwnz50O/YoRTVXbwIdepACkW2Imtp0qQJFy9eZO3atXTq1Cld501lypRh3LhxXLt2jYULF2bodbP1pdpTp04xadIkJkyYgK+vb4rbXLt2jaCgIPz8/HB3d0/2PXd3d1555RW2bdvGnTt3KJ7KB35MTEyyk6Jnz54BSjV8XFyciX4aIazH/r//sAO0FSuiy4K/05rhw3F45x308+cTP3w45M5t8RjU9wJ5TxDZiebSJRwAfdmyhl50RsuXD4eyZdHcuEH8wYPo27QxaYzW8Pvvv/P++++/8Li7uzu1a9fGzs7OcIxQuXJlhg4dajjw02q1aLVaS4cszMje3p7ffvuNBg0a0KhRI7RarXwWiDTJMYPIruwDArAD4j090Zv499u+XTvsVqxAu24dOnW1WzYi7wups79wQTlXLV8+1XNVu+LFsQd0N26glb9Dq3K4excNEF+kiMnfB563e/duAOX4q0kTtMePY9+rF3b//gvvv49uzx60M2dm2SHFGT7/yiZWrFiR4efa29vTr1+/DD032ybSY2Ji6NmzJzVq1GDEiBGpbnctoberTyq9XX18fNi2bRvXrl1LNZE+ZcoUxo8f/8Lj+/btSzaZV4is6tUTJ3AHDoeF8WjLFmuHYzwHB1p6e5Pr7l2uDh/O9c6drRbKjh07rPbaQphamc2bqQoEeXhwIhPvDbW8vSl+4wbXV6zgShY9INRqtYaVb2FhYdjZ2VGyZEl8fHwMX8WLF8fe3h6tVsuWJH9f8r6QM8ycOZO8efPKv7dIN/ldEdlNy8uXyQUcDQoixMTnFEW9vakPxKxezY6WLbNeO8p0kveFFzU9dox8wMmICO6l8nvl+fgx9YAnZ86wPyuez2YjbW/fxhHYe/064WZepbdu3ToAChYsmHjs/dFHVChUiApr1mC3ZAnPdu3i+IgRRHh5mTUWcwgJCbF2CDlStk2kjx07lmvXrnHy5MkUW7qonj59CpDq4K7cCZWr6nYpGTVqFMOHDzf8OTAwEF9fX5o2bUqpUqUyEL0QNiQ8HMfgYADq9+0LBQtaOaCM0YSGwv/+h+/27ZSfN0+Z3G5BcXFx7Nixg9atW0urBpFt2G3bBkDRV16hbdu2Gd/PnTuwdy/lHz2ibCb2Yw0RERGMHz+ey5cvs3HjRjQaDTqdju7du7+w0u158r6Qc8XFxfHgwQPpey9SJO8NIlvS63F4/BiAem+9lfEh5alp3hz97Nm4PXxIu3v30PfpA2nkAbIaeV9IhV6Pw3vvAVCze3dqptbepWhRmDaNfE+fZuqYVWRSRASOkZEANO3WzawrxXU6naHi+H//+x/169dP/OYbb6Dt1Qv7Xr3Ic+sWrb74Au3Chejfftts8ZhDoNomR1hUtkykHz58mOnTp/P1119TxQI9nZ2dnXF2djb8OSwsDFAm/MqHnMjyrl9XbosUwTGjPZBtwfvvw/jxaO7cwfG33+CDD6wShrwviGzlxg0A7CtWxD4zv9eNGwNgd/QodnZ2WebE999//6V///7cvHkTUI4/miUMOE56XPAy8r6Qs9y/f58uXboQHBzM8ePHDUUbQjxP3htEthIaCgkJNMfSpcHUv9t58sC778KyZTgMGgTz5sGECcogUrvsMxpO3heec+cOhIeDgwOOlSql/ntVrhwAmvv3cYyPz7KtPLK8hAI9PDxwLFDArC/17NkzOnTowIkTJ6hXr96L/29efx3OnIGuXdHs349D9+5w6BBMnw5GHMdbk4MMVn7BxYsXmTdvHsePH+fJkycptszUaDTcSDiPzYjs84mSID4+nl69elGtWjVGjhz50u3VSvTUKs7VpHhqFetCZHvnzyu3lStbN47McnKCzz5T7k+bBlm0fYQQNkW90JbZqrIqVcDDA549UwYA2bgnT57Qv39/WrVqxc2bNylevDhbtmwxJNGFSIuDgwO3bt3i6tWr9OvXD71eb+2QhBDC/NRBowULmi+JOX8+fPMN5M2rHE+8/TbUrg1//QXyXps9Xb6s3JYtm/bFmfz5IVcu5f6tW2YPS6TCgoNGc+XKxc8//8y5c+dwcnJKeSMvL/j3X1Bzh/PmKQU+d++aPT5henv37qV27dosWLCAs2fPEh0djV6vf+FLp9Nl6nWyXSI9PDyca9eucebMGZycnNBoNIavX375BYCGDRui0WjYsGGDoTe62iv9eS/roZ4WtUJNiCztwgXlNqsn0gH69YMCBeDmTVi71trRCJG1xcYmnogkVPlkmIMD1Kun3D90KHP7MrNNmzZRuXJlFi9eDMCgQYM4f/48r7/+upUjE1lFwYIF+eOPP3B0dGTt2rXMmTPH2iEJIYT5qYn0EiXM9xpubvDVV+DvD2PGKInTM2fgjTegYUPYsUMS6tnNpUvKbWotXVQaDZQurdyXRLr1WDCRnm4ODjBlCvz9t3LB5cQJ+OQTa0clMmDkyJHEx8ezePFioqKiuHPnDv7+/il+ZUa2S6Q7OzvTr1+/FL/UZHiHDh3o168fpUqVwsfHBy8vLw4ePEhERESyfUVERHDw4EFKly6d6qDRtLRq1YqmTZuydOlSwsPDTfLzCWFxaiLdAm2SzM7dPfFD8dtv5UBaiMzw9wedTqkkL1o08/tr1Ei5PXw48/syk7i4OL744guCgoLw8fFh7969zJ8/X1pzCKM1aNCAmTNnAvD5559z8OBBK0ckhBBmpibSM3BebbS8eZW2Lv7+8MUXSgX80aPQpg00bw779pk/BmEZakV6xYov31ZNpGcyiSYyQa30NnMiXa/Xc+bMGeKNWYXeti1s3arc37IFnssPCtt39uxZunbtSt++fdOclZlZ2S6R7urqyuLFi1P8apRwkj5q1CgWL15MjRo10Gg0/O9//yM8PJyJEycm29fEiRMJDw+nf//+GY5n//799O3bl6JFi9KnTx/2798vS3hF1pKdKtIBPvpISfydPZv4QSmEMJ66kqtcOaXKJ7PURLoNV6Q7OjqyZMkSRowYwdmzZ2natKm1QxJZ2EcffUTXrl2Jj4/nnXfe4cGDB9YOSQghzMeSiXRVgQJK8Yy/PwwdqvQ93rcPmjVTkurHjlkuFmEe6a1IByhVSrmVRLr1qBXpZh62fvv2bWrWrEmRIkWIjY1N/xPr1FEuuERHS64gC3J3d6dw4cJmf51sl0jPiBEjRlC9enWmTp2Kn58fo0aNws/Pj6lTp1K3bl2GDh2aof0eOnSIyZMnU65cOSIiIli2bBnvvvtuis3uhbBJT58mHvRml0R6/vyJg0anTLFuLEJkZWp/9My2dVE1aKDcXrsGISGm2acJbN26lTVr1hj+3KhRI6ZOnYqrDKkSmaTRaFi0aBGVKlUiKCiIAQMGWDskIYQwH2sk0lVFisCsWcqxy8CBSi/tHTuUi/g2vBJOpIMxiXRp7WJ9Fmrtsn//fkBp0Zxqf/SUaDTQubNyf/16M0QmzKlt27aGf3tzkkQ6ylWLvXv3MnToUC5dusSMGTO4fPkyn376Kbt27crwybKnpyejRo3i6tWrhsr0QYMGGSbrarVa3nvvPQICAkz54whhOurQPy8vZYlkdjF8uDJ8dP9+kOX0QmSMWpGe2UGjqnz5Ek+CbOSkdufOnXTq1Ilu3bqxZ88ea4cjsiEPDw/WrVtH/fr1mTZtmrXDEUII81HPea2RSFd5e8MPP8DVq9C6NWi1SsW6yJoePwZ1NVeFCi/fXlq7WJ+FE+lNmjQx/slqIv2vv5SZUCLL+O6773jy5AlDhgwhMjLSbK/jYLY926Bly5axbNmyFL+XJ08eZs2axaxZs0z+uhqNhsaNG9O4ceNkj//666/8+uuvlC5d+oW2MkLYhOzUHz0pLy/o2RMWL1YOnjdvtnZEQmQ9pk6kgzII7NIlJZH+xhum228G7N27lw4dOhATE0OHDh0M7eGEMLVKlSpx+PBhNKZokSSEELbKmhXpzytVCr7/XumrvXmzckxjyuMZYRlqf/RixSA982qktYv1ZYVEeoMGyvyn+/fh33/htddMHJ0wlZYtW77wmIeHB/Pnz2fZsmWUL18+xVlWGo2GXbt2Zfh1c1Qi3dacPn0aUPo3CWGTzp9XbrNLW5ekRoyAJUuUK83//QdVq1o7IiGyFlO3dgFlifXPP1u9T/rBgwdp164dUVFRvP7666xZs8a4ZaFCGEmS6EKIbE2nSxwyaAuJdFAqmNu3V84F5syBefOsHZEwljFtXSCxIj00FMLC0pd8F6aj1SrJaTBrIj04OJjLCRdZni9mTRc7O+jUCRYsUNq7SCLdZqW1Yjg8PJxTp06l+L3MHndLaxcrqlOnDgB31YMKIWxNdhs0mpSPD7z9tnJ/6lTrxiJEVhMbC+pFYFNXpAMcPw5xcabbrxGOHTvG66+/TkREBK+++irr16/H2dnZKrGInOXy5csMHDiQMWPGWDsU23fzJrz7LgwerCTohBC2LThY+VzXaJSVobZi2DDldulSJbkqsha1Ir1ixfRtnyuXMoAWpE+6NTx4oCTT7e2VuQVmcuDAAQCqVKlC/vz5M7aTN99UbjduVGIWNkmn02XoK7NzKyWRbkXFE67G31GXuQlha7JzIh1g5EjldvVqWeInhDFu3lSSVx4epj0QrlhRmccQGQnnzpluv+l069Yt2rRpw7Nnz2jevDkbN27ExcXF4nGInMnf358FCxbw448/EpudenJu2gTTpyvVf5ml08HcucoqsjVrYP58ZYCgEMK2qee7np7KoE9b0aIFVK+uHHf89JO1oxHGMrYiHaRPujWpbV2KFlWS6WaitnVp2rRpxnfSvLlyThIcbPWVssL2SCLdiry9vQGlIl2v11s5GiGeExoK9+4p9319rRuLudSqBW3aKFeZp0+3djRCZB1qWxcfH6W6zFTs7JS+hGCVgaMlS5akZ8+evPLKK2zevBk3NzeLxyByrtatW+Pp6cmjR4/4+++/rR2OacTHQ48e8PnnULas0pM4oxcJrl6Fpk3hk0+UpJc6WO7LL+HMGZOFLIQwA1vqj56URgPDhyv3M/P+JKxDTaSntyIdpE+6NVmoP3qPHj0YP348Xbp0yfhOnJwS5zX9+adpAhNmMW7cOPbu3WvRIhRJpFtRsYQ3kOjoaB49emTlaIR4jlqNXqJE9u4fN2qUcvvzz4lT34UQaVMHjZqyP7pKHeppheoPjUbDnDlz2LFjBx4eHhZ/fZGzOTg40LNnTwCWLVtm3WBM5coVCA9X7oeEwJAhysX533+H9BaRaLXw3XdK1ejBg8pKmB9/hIsXoWNHJfHVvbuSXBdC2CZbTaQDdO2qVMoHBcEff1g7GpFe0dGJyfCMVKRLaxfLs1AivU6dOowdO5bmzZtnbkdqe5f169N/zCIsbuLEibRs2ZK8efPSqlUrvvnmGw4ePEh8fLzZXlMS6Vbk7OxM4cKFAWnvImxQdm/romrWTKmAjY5WBg0JIV5OTaSbsj+6Su2TbqGK9CtXrjBgwABDFYNGo8HV1dUiry3E83r16gXA33//zYPscHH39Gnltn59ZWhX0aJw44aSuKpXD3bvTvv5Fy4oF9dGjFA+p9u0UQahf/ihsoJl0SJln5cuKdsIIWyTLSfSnZzgo4+U+zNnSsIsq7h2TWn3lSeP8jmQXtLaxXoslEg3GT8/cHVV5kKpxzPC5sycOZM33ngDV1dXdu/ezdixY2natCl58+bFz8+PqVOncuzYMXQmnKkjiXQrmzx5Mr/88ouhX7oQNkNNpFepYt04zE2jSeyVPn8+PH1q3XiEyArMmUivV09JkN26ldheKp1u3bpF7969GTRoEJMmTWLZsmUEBwenuv3169dp2bIlixYtYpS6OkUIK6pUqRL169dHq9Xy66+/WjuczDt1SrmtVw8++EB57xg/XqkqP3ECWraEdu3gv/+SPy8uDiZNUlqwHTumJEqWLIGtW6FkycTtChUCtXp//nzILi1xhMhubDmRDsr7k6ur8p6V0F9Z2Likg0aNaTMorV2sxwKJ9C1btrBu3TrTdHxwc4PXXlPuS3sXmzV06FA2bNhASEgIp06dYsaMGbRr1w4nJyd27NjBqFGjaNiwIfny5aN9+/bMmDGDU+rxaQZJIt3K+vXrR8+ePSlYsKC1QxEiufPnldvsXpEOSv8zX19lENqCBdaORgjbp/ZIN0drl9y5Ey/gGVmVPmLECH755Rd+/PFHRo8eTZ8+ffBPcqK0cOFCKlasSKtWrejZsyctW7YkKCiIypUrM1K9oCaElfXu3RuApUuXZv0ZOmoFV82ayq2HB4wdq7yHfPQRODjAli1K25Y+fZRk25kzSgX76NFK25b27ZWL+337ppws8fNT+qaDsk12qOQXIrux9UR6wYKQsCKImTOtG4tIn4wMGoXkFelZ/TM2q7FAIv3bb7/l7bff5k9TJb47d1Zu1683zf6E2Wg0GmrUqMGwYcPYtGkTjx494uTJk3z33Xe0bdsWOzs7tmzZwogRI6hXr16mXksS6UKIlOWU1i6gVL9+8YVyf9YsiIqybjxC2LKYGAgIUO6boyIdMtQn/e7du6xPOMgdOnQovXv3pnXr1pRMUr16/fp1rly5wr///suKFSu4c+cOFSpUYOfOnRQqVMikP4IQGfXuu+/i4+NDx44diYuLs3Y4GafXJw4BVRPpqiJFYN48pc/5228r2y5bBuXLQ926SgI+f35YuRI2bXr5Sfe33yoX4IKDlWS6JEeEsC22nkgHGDpUud20KXHlnbBdGU2kqxXp4eEQGmrSkMRLmDmRHh0dzbFjxwBo2rSpaXbavr1y0f/iRWXui8gyNBoNNWvW5NNPP2X+/PlMnz6dKlWqoNfrM12o4mCiGEUGBQcHc/LkSVxcXGjRooW1wxFC8fCh8gXGH5xkVd26KVVyt28rJ/MDB1o7IiFs082bSk/KXLkgYc6HyTVsqKwOMaIifeHChWi1Wpo2bcqsWbNS3GbYsGG0bduWwMBAAgMD0el09O3blyJFipgqciEyLV++fFy5cgWNMUvVbdGtW/DkCTg6Kqu+UuLjowz3O3pU6XG+b5/yeOfOSquW9Pa9dXGB335TkvBbtsAPPyT2PBZCWFd8vDLIE2w7kV6hgtJq6u+/lblJ8+ZZOyKRlqStXYzh4qIMl713T6lKL1DA9LGJlJk5kX78+HFiYmIoXLgwPqYq9smbV2lDt3270t5FVrBmCUFBQezevdvwdSthuLCHhwevvfYazZo1y9T+JZFuZbt27aJ79+40a9ZMEunCdqjV6GXKgLu7dWOxFEdH+Owz+Phj+O47pVeinSzaEeIFSdu6mCvRp1aknzihVMA7O6e5uV6vZ+fOnQB8/PHHqW7n5eWFl5eXycIUwlyyfBIdEvujV62qDPNLS/36sGcP/PsvaLXKUFFjVa0K06YpbV4++wxatEg9gS+EsJx795QL8A4OymoUWzZ8uJJIX7oUJk6EfPmsHZFIiU6XWB2ckaKvUqUSE+l16pg0NJGKZ8+ULzBbIn1/wnyDpk2bmvY4qnNnJZG+fr0k0m1UcHBwssT59evX0ev15MmTh8aNGzNo0CCaNWtGrVq1sDNBjkeyRFbm7e0NwB11uZsQtiAn9UdPqm9f5WTf3z+xdYUQIjlzDhpVlS2r9CuNjU3ssZwGjUbDgQMH+Ouvv+jUqZP54hLCguLi4vjrr784ZESLI5vyfH/0l9FooFWrjCXRVR9/rPRMj46G7t2VC3FCCOtSz3O9vcHe3rqxvEyLFsrMhshI+Okna0cjUnP7ttKK08kpsee5MdTnJFSpCgtQq9Fz51bmpZiBmkhv0qSJaXfcsaNyjHL8eOL7mbAZvr6+eHp60r17d9auXYuvry8zZszg5MmThIaGsnnzZj799FPq1KljkiQ6SCLd6oonLG+7e/du1h8oJbKPnNQfPSk3N1D7KcskdyFSZolEukZjdJ90e3t72rVrh4ODLLYT2cOkSZN44403mDx5srVDyRhjE+mmoNEolaQFC8LZs/DVV5Z7bSFEyrJCf3SVRgPDhin3585VLugL26O2dfHxUVY6GCvpwFFhGWZu66LVajl48CBghkR60aKJ5yUbNph23yLTLl++jEajoXPnzvz555+sWbOGoUOHUrNmTbOt8JREupV5eXmh0WiIjY3lodqTWghrUxPpVapYNw5rkAoFIdKmtnYxZyIdlD7p8NI+6SEhIcTKia7Ihrp16wbA1q1buXfvnpWjyQC1tUutWpZ9XU9PWLJEuT9jBiS0fRJCWElWSqQDdO2qJM6CgpQZDsL2ZHTQqEodOCqJdMsxcyL9v//+49mzZ+TOnZtq1aqZ/gU6d1Zu//zT9PsWmTJkyBCqVKnC+vXrad68Ofny5ePVV1/lm2++4cCBA8TFxZn8NSWRbmVOTk6GIWfS3kXYBL0+51akgxxYiWwvKiqKwYMH8/PPP2dsB2pFerlypgsqJUkr0tNYsTV8+HBKlCjBn3JgK7KZChUq0LBhQ7RaLb/++qu1wzHO/fvKl0YD5jihfZkOHZRZJwC9esGjR5aPQQihyGqJdGdnGDxYuT9zZprHIMJKMjpoVCUV6ZZn5kR69erVuXnzJuvWrcPeHC2k3nxTud27F0JCTL9/kWGzZ8/mzJkzPHz4kD/++IM+ffoQHBzMuHHjaNasGXnz5qVVq1ZMnDiR/fv3mySxnuFEemRkJDt37mT8+PH079+fN998kx49ejB06FCWLFnCdbViTbyU2t5FEunCJty/D6GhyqDNjB6cZGVSkS6yMb1eT9++fbl//z6tWrUyfgfR0YnzA8xdkV6njrJcNygo1X6EwcHB/P777zx48MAwc0SI7KR3794ALFu2LGu1AFTbulSoYL2h5TNmKK8fFAT9+0syTAhrUY8bskoiHZQLca6uysqahL7LwoZktiJdPd+7fVs+GyzFzIl0jUZD6dKlefXVV82yf0qXhho1lEG3mzaZ5zVEpuTPn5/OnTvz/fffc+7cOR48eMDq1avp3bs39+/fZ9y4cTRv3py8efNm+vfE6ET64cOH6dWrF4UKFcLPz4/x48ezZMkSNm7cyKpVq5g7dy79+/enQoUKVKlShXnz5hEWFpapILO7pH3ShbA6tRq9bFlwcbFuLNYgFekiG/vmm29YvXo1GzduxD8jv+P+/soJR+7cUKiQ6QNMys1NOWCFVPukL1q0iNjYWOrVq0fdunXNG48QVvDuu+/i4uLChQsXOHHihLXDST9r9Ed/nrs7/PYbODoqS7EzugpHCJE5Wa0iHZQ5Cz17KvdnzrRuLOJFmU2kFy+uFI1FRytFZML8zJxItwi1Kl1WwWYJBQsWpEuXLsyfP58zZ87wxx9/ULlyZaKioti9e3em9p3uRPqFCxdo27YtjRs3ZtWqVbzyyiuMHj2ajRs3cuTIEa5evcrZs2fZvXs3CxYsoFevXoSHhzNkyBDKli3L3LlziY+Pz1Sw2dWHH37I8uXLee2116wdihA5uz86SEW6yLb++OMPxo4dC8CPP/5I8+bNAYz7bE7a1sVMw1uSSaNPelxcHD/++CMAH3/8sfljEcIK8uTJQ+eEvpzLli2zbjDGsFZ/9OfVqgXffKPc/+wziIiwbjwiyzh16hRFihThTTVxIjIuKybSAYYOVW43bUqcDyOsLyQksV1X+fIZ24ejI6grGaV4yjLMmEi/fv06nTp1Yv78+SbfdzJqn/Tt2+HZM/O+lsgUrVbL4cOHmTx5Mm3atCFfvny88847nD9/HlCS7JmR7kR69erVuXLlCnPmzCEoKIjt27czfvx43njjDerVq0e5cuWoWrUqzZo1Y8CAAfz888/cunWL3bt34+fnx6effsrUqVMzFWx21bp1a95//33KmbvfrBDpkfDmkiP7o0NiIj0wEGJirBuLECZy8uRJevXqBcCwYcP43//+x4EDB2jcuLEhuZ4uaiLd3G1dVEn7pD9nw4YNBAYGUrhwYbp06WKZeISwArW9y6VLl7JOexdbqEhXffoplCkDT57A6tXWjkZkEVeuXCE4OJiHDx9y4sQJ2rVrR3h4uLXDynpiYiA4WLmf1RLpFStCu3bKSrw5c6wdjVCp1eglS2audZgUT1mWGRPpe/bsYePGjaxZs8bk+06mcmXlHCg2Fv75x7yvJYyi0+k4evQoU6dO5bXXXiNfvnw0btyY0aNHs3PnTpydnenYsSNz5swxtH3JjHQn0hcuXMiVK1cYPHiwUdn7Zs2asXLlSi5evEgj9YRYCGG7cvKgUVDaVbi5KQfNak9HIbKwoKAgOnToQFRUFG3btuW7774DICQkhIMHDzJ//nyePn2avp1ZOpGuVqSfOQORkcm+NW/ePAAGDBiAs7OzZeIRwgpatmzJmTNn+Pfff9FYYiVIZj15AjdvKvdtIZFubw8ffqjc/+EH6Ycr0uXKlSsAlC1blnfeeYctW7bQr1+/rHMxy1aorUtdXKBAAevGkhHDhyu3P/8Mjx9bNxahUBPpmZ3lJQNHLSc+PrGFjhkS6fsT5hg0bdrU5PtORqNJbO+yfr15X0ukW9u2bcmXLx+NGjVi1KhRbN++HXt7e9q3b8+MGTM4deoUISEhrF+/no8//pgqJui8kO5Eer9+/XBwcMjwC/n4+NCiRYsMPz87i4iI4J9//uG3336zdigip9PrJZGu0ST2SZcKBZENjB49mqCgIHx9fVm1apVhkn2HDh3w9fUlLCyMBQsWpG9n6tJmS62gKlECvLyUA/Ak/aGvX7/Ovn37sLe350M1QSZENmVvb0/16tWtHUb6nTmj3JYoAfnzWzUUgz59wNlZaTlz/Li1oxFZwNWrVwGoXLkyK1euxNHRkTVr1jBjxgwrR5bFJG3rkhUuBD6vRQuoVk25mP/TT9aORgBcvqzcZrQ/ukrmYlnOgwfKkE4HByhc2OS737dvHwBNmjQx+b5foLZ3+ftvpce+sLqtW7ei1+t57bXXmDZtGsePH+fRo0ds3LiRYcOGUaNGDZMXohg1bDRG2hyYRUhICG3btqV3797odDprhyNyssBACAtTPuQqVLB2NNYjB1YiG/n+++/p27cvmzdvJnfu3IbH7ezs+OKLLwCYNWsWUVFRL9+ZpSvSNZrEqvQk7V3KlSvH2bNn+eGHHyiWlYcWCWGkZ8+eERYWZu0w0qa2dbF2f/SkChYEtQVUwmwFIdKiVqRXqFCBRo0aMXv2bAC++OIL/v33XytGlsVk1f7oKo0msSr9++8hLs668YjMDxpVSUW65agrUzw9lVViJt31XW7duoWdnR0N1XMGc6pbVynyCQ+HXbvM/3ripQ4fPszjx4/5+++/+eyzz6hduzZ2dkaluo1m1N7z5s1Ly5YtmTBhAvv37ydOPkhMwsvLC41GQ1xcHA8fPrR2OCInU/uj+/iAk5N1Y7Em6ZknshF3d3eWLFlCmTJlXvhet27dKFGiBA8ePOCXX35Je0fR0YknxJZKpAM0a6bczp6duCwUqFatGgMGDLBcHEJY2ZQpUyhatGj6V5BYiy31R09q0CDldvVqCA21bizCpun1ekNFeoWEwpKBAwcaip7effddAqT9X/pk9UQ6QNeuSuvHwEA4eNDa0QhTt3aR8z3zM2N/dLWtS82aNcmVK5fJ9/8COztp72Jj6tevb1hxfSiFuVopmTVrVqZe06hEuqurK3v27OHrr7+mefPm5M2bl9atWzN58mQOHz6MVqvNVDA5laOjI56engDcUQ82hLCGnN7WRSUV6SKL+/3335k0adJLe7k6Ojry2WefATBt2jTi4+NT3/jmTaX9U+7cSnWnpfTrB1WqKMtC33uPeFkdJ3KoQoUKERkZybJly2y7T7OtJtIbNIDq1ZWLgsuWWTsaYcPu3btHeHg49vb2hovQGo2GH374gVq1ahESEkLnzp2JlmX9L5cdEunOzkoVKiS2FRHWERkJt28r901VkR4QAEbksW7dusXcuXNtf3WYLTFjIt2ibV1UanuXTZuU9pPCZrzxxhtcUi+2pWL27NmG89+MMiqR/ujRI06dOsXMmTNp3749zs7O7Nq1i9GjR9O4cWPy5ctnGGR24sQJ2z7ItzHe3t6AJNKFlamJdBMMYMjSpEJBZGHHjh2jd+/ejB49mlWrVr10+379+lGwYEH8/f3ZuHFj6hsmbetiyT6nbm7wxx/g7g67dvGjtze9evXK9LR1IbKad955B1dXVy5dusSxY8esHU7KoqISqwVtqbULKO9bAwcq9xcsUPq1CpGCiIgIWrZsSaNGjXBKskLT1dWV9evXU6BAAYoWLUpsbKwVo8wiskMiHRKrnxNa/ggrUf/+CxRQVglkhqcnODoqiVC19Ug6jBw5kpUrV/Lo0aPMvX5OYsZEelRUFE5OTuYfNJpU06bKDJiQEDhwwHKvK17K1dWV1157jUD1d+45c+fOZfjw4ZluA2RUIl2j0VCjRg2GDh3Kxo0befToESdPnmTGjBm0a9cOe3t7tm7dyhdffEH9+vXJnz8/HTt2zFSAOUXxhIMLSaQLq5KKdIX0zBNZ1N27d+nUqRPR0dG0b9+ed99996XPcXNz47vvvmPVqlVpf2Zbuj96UhUrGvoafxQSwpP16y2zfFMIG5I7d27eeustAJbZakX1f/8plX2FCik9RG1Njx6QK5fyfiZ9rkUqfHx82LVrl6HSMamSJUty5MgRNm3alGzuiEhFdkmkq7OjJJFuXeqKgMy2dQGlV3fJksp9I4qnDh48yPHjxw3tn0Q6mDGRvmzZMp4+fUrbtm1Nvu9UOThAhw7K/T//tNzripfaunUrYWFhtGnThtDn2vh9//33DB06lAYNGrB169ZMvU6mOrBrNBpq1qzJsGHD2LRpE6GhoZw4cYLp06dTuXJlnj59yl9//ZWpAHMKNZF+14iroUKYlE4niXSV2trlwQNlCaEQWUBERAQdO3bk3r17VKlShd9++83QL+5levfuTdeuXXFwcEh9o+vXlVtrJNIB3n+frV5e2AErdTrcZEmtyIF69+4NwKpVqzhz5kyy7x06dIgNGzawZs0aVq5cyc8//8yCBQtYvnw5ISEhlgkwaVsXS65cSS8PD+jZU7n/ww/WjUVkWeXKlTMMMtPr9dxPMr9DPCe7JdKltYt1qcei5cubZn9GFk/pdDrDTDsfHx/0ej3fffcdt9V2MyJlZkykA7i4uODs7GyWfacqaZ906cRhM6pUqcLmzZu5desW7du3JyoqCoB58+bxySefUK9ePbZt24aHh0emXieNM2bj3L17l927dxu+1DeTzAaYU0hFurC6gACIiFCWuJUrZ+1orCtfPqUPdFiY0ocvsz34hDAznU5Hr169OHXqFIUKFWLz5s0ZrtiOi4vD0dHxxW+oFelWen+4fPkynYOCOAZUiYyE996DbduUiiIhcogWLVpQokQJAgIC8PPzS9biaOTIkYahW89zcnIiKCiIAgUKmDfAU6eUW1vrj57UwIEwf77S2zQw0Gwn9iLrio2NTdbSJTVRUVEMHDiQHTt2cPLkSYoWLWqB6LKQiAh4/Fi5n10S6bduKXMWXFysGk6OpV60MtWKJyPnYt25c4eYmBgcHR0pWbIk8+bNY8SIEcydO5ddu3ZR3lQJ/uzGTIn0+Pj4tIuAzKl1a6Xt5N27cOJE4hwFYXWNGzdm1apVvPXWW7z99tu0adOGYcOGUadOHbZt22aSVc0Zrki/f/8+q1atYsCAAfj4+FCyZEl69erF+vXrqVy5MlOnTuXIkSMvlNOLlL3++ussX76czz//3NqhiJxKrUavWFFJpudkGo0MHBVZyqhRo1i3bh1OTk6sX7+eUurvr5HmzZtH6dKlOZBSvz9rtnYB5s+fTxTwY4sWSt/0Xbtg8mSrxCKEtdjZ2TFx4kS8vb0p9Fx/2KpVq9KoUSOaNWtG69atadeuHW+++SY1a9akUaNGyZLoc+bMYd++fehM3SdcrUi3tf7oSVWuDE2aKC1oFi2ydjTCBvn6+lKsWLEXVn08Lz4+nmPHjhEUFMQ777xDXFycZQLMKtQCsdy5IU8e68aSWUWKKD+DXp9YFS0sT02km+qilZEV6Wo7l7Jly2Jvb0/nzp2pWLEid+/epUmTJpw7d840cWUBhw8f5uDBgy+fi6jXmy2R3rRpU2rUqMHx48dNut90cXUFtZ3MunWWf32Rpg4dOrBgwQL++ecfhg8fTu3atdm5cyd5TPRZZNTlmzVr1rBnzx52797N1atX0ev15M2blyZNmjBw4ECaNWtGzZo1DUvdRPpVqlSJSlL1Kqzp/HnlNqe3dVGVLg3nzsnAUZElVKhQAUdHR5YsWULjxo0zvJ9z584RGBjIt99+m7w1W1RU4gmxFRLpYWFhhp7QnUaNgnv3oFcv+PpraNwYWrSweExCWEvPnj3pqbYnSWL+/PmpPiciIsJw/8GDB3z66adotVpKlSpFjx49eP/996mgVlxmVHy80iMdbLsiHWDQINi/H376Cb76SgoIhEFMTAz+/v7odDqKFCmS5ra5cuXizz//pF69euzfv58RI0Ywa9YsC0WaBWSXti6gFNlUqADHjil90qtUsXZEOZO6CsvUifR0nu+piXS18rxYsWLs27ePNm3acObMGZo1a8bWrVupX7++aeKzQXq9nunTpzNixAgA6tevz969e1NvrRIWpqxOAZMm0sPDwzl+/Djx8fEULlzYZPs1yjvvwB9/wIoVMGmSrJK1gpRmmah8fHzo0KEDBw4cYPTo0S9cHM/MgFqjEuldu3bFzs6O1157zZA4r1atGhpb7IEohDCOWm1qiuEt2YFUpIsspG/fvrRs2TLDleiqzz//nCVLlvD3339z7tw5qlWrpnzj5k3lNk8eMHdriBQsX76c8PBwKlasyKuvvqqc0O7ZA0uXQvfucOaMUi0mhEiRu7u74X50dDQ9e/Zk7dq13Lp1i0mTJjFp0iTq1q3LwIED6d27d8aO7S9fVloe5MoFZcuaMHoz6NwZChdWLspt2gQJQ1yFuHHjBjqdjly5cqWrVUuFChVYvnw5nTp1Yvbs2XTv3p26ssRfkZ0S6ZCYSJc+6dZj5Yr0awnnyz5JikoKFSrE7t27adu2LYcPH+bVV19l8+bNNG/e3DQx2hCtVsvQoUOZN28eAI6OjhQrVixZEl2r1Saf0XTvnnKbJ4+yotRE1CR68eLFKakOjbW0N96A/PkhKAi2b4fXX7dOHDlY8+bNX3rMqtfr6dy58wuPa7XaDL+u0Q2FdDode/bsITo6mmfPnhEeHk69evVS7qcqjLJ9+3Zu375Nly5dyJs3r7XDETnNo0fKrSSjFEZWKAhhaRcvXqRgwYKGKozMJtFBOTF4++23WbNmDVOnTuXXX39VvpG0rYsVLp6/++67PHv2jBIlSiQeLM2bp5zQXrig9EvfutV8lSDPnimJ+7ZtpdpEZHklS5bk559/Zt68eWzatImVK1eydetWjh8/zvHjx8mVKxdvv/228TtW+6PXqAG2vjrVyQn69YMpU+DHHyWRLgyuXLkCKAny9F5Q6tixIz179mT58uUMGzaM/fv3S6EZKPOXIPsk0tVio4TfEWEFaiLdVOer6rFzYCDExMBLBla6uLjg5eX1Qi/0vHnzsn37djp16sSuXbto164dN27cyFZzEyIjI+nRowcbNmxAo9EwY8YMevToQWRkpGGbmzdv0qxZMwYPHsyHH36otNFQcwwFC5o0HvWihqHoxxqcnaFHD/j+e6W4RxLpFjd27FirfN4alUh/9OgRe/fuZffu3ezZs4exY8cC4OrqSoMGDWjWrBnNmzenQYMGkljPgH79+nH37l2qV69OvXr1rB2OyGnUDzkrVJvaJCMrFISwpMDAQNq0aYOzszPbt2+nrAmrP0eOHMmaNWtYvXo1EydOpEyZMlbvj16oUCFGjRqV/EE3N1izRhnus3On0i99zBjzBDBgAKxeDcuXw/vvm+c1hLAwNzc3unbtSteuXQkODmbw4ME4OTllvNWg2h/d1tu6qD74AL79Vpm3cOVK4jBBkaOpiXRjhwZOnjyZtWvXcvDgQf744w/eeecdc4SXtWTHinSQRLq1hIcntggxVYK6cGHleDIyUvl9LVcuzc2//fZbvv322xT7gnt4ePDXX3/RtWtXXn/99WyVRNfpdLz++uvs27cPZ2dnVqxYQZcuXV7Y7qeffuLu3buMHDmSyZMn8+GHH/JFpUrkB5PnGG4mrJYtrZ6zW0vfvkoifeNGJZ8iuRSL+vrrr63yukaVi+TLl49OnToxZ84czp49S3BwMGvWrKF3797cv3+fcePG0bx5c/LmzUurVq2YOHEi+/fvN1fsqYqOjmb48OE0bdoULy8vXFxcKFq0KK+88gpLly5NcRBMWFgYw4cPp2TJkjg7O1OqVCk+//xzwsPDLRZ38YSDjDvqQYcQlqQOBs6f37px2App7SJs1LNnz2jXrh2BgYE4OzsnGyBoCjVr1sTPzw+dTsf06dOVB9XBWi85wbA4X1+lmhSUful79pj+NR4+hLVrlfsnT5p+/0LYgMKFC7NmzRpWrlxJ5YzOSslqifSSJaFdO+X+ggXWjUXYjKQV6cYoVqwYX3zxBSVLlkzWSilHy66J9MuXlQGKwrLU/uhubuDhYZp9ajQZOudLrQLWxcWFP//8kw8++MDwWExMTGYitAl2dnb07duX/Pnzs3PnzhST6AATJ07kl19+wdfXl7CwMKZNm8aI//0PgEhXV5PG5J/w71WmTBmT7tdoNWooX7Gx8Ntv1o3FCPPnz6dUqVK4uLhQv359jh07lub2f/zxBxUrVsTFxYWqVauyZcuWZN/X6/WMHTsWT09PXF1defXVVw2rBlSTJk2iUaNGuLm5vbQDx6NHj/D29kaj0fDkyZM0tx0xYgSHDx9OcxtTy9S6ywIFCvDWW28xb948zp8/z4MHD1i9ejW9e/cmICCAr7/+mhZWGAAWHh7Ojz/+iEajoV27dgwfPpw333yTwMBA+vbtS/v27dHpdIbtIyIiaNasGbNmzaJixYoMGzaMChUqMH36dFq2bEl0dLRF4vb29gbg7t27Fnk9IZKRRHpy6kFVaKgyJEUIGxAfH8+7777L2bNnKVy4MFu2bDFLKzC1+nvp0qU8fvzYqhXpy5cvZ/78+YYD5hf07Al9+oBOB926JZ5omcrKlcoQRYAbN0y7byGyC50u6yXSAQYOVG6XLVMqEkWOl9FEOign85cuXaKdeoEmp8tuifRy5ZTEa1iY6Y81xMslbetiylYOJi6eSppkDwkJoXbt2mzdutUk+7a0pD2ke/XqxbVr12jcuHGq2zs6OtKzZ0/+++8/Nm3axCuvvEKehH1sN3ExilqRbvVEOihV6aC0d8kCfv/9d4YPH864ceM4deoU1atXx8/Pj+Dg4BS3P3ToEN26daNfv36cPn2aTp060alTJ86fP2/YZtq0acydO5cFCxZw9OhR3N3d8fPzS5ZLjY2NpUuXLgxUj73S0K9fv3S37Zk5cyaNGzemaNGi9O/fn7/++svsF7BM1sAwPj6ea9eucfXqVa5evUpQUBB6vT7FZS/mlj9/fp4+fcrevXtZtGgRkydP5scff+T69es0b96c7du3888//xi2nzZtGmfOnOGLL75g27ZtfPvtt2zbto0vvviC48ePW2z6ulSkC6vR66W1y/Ny5068qCB90oUN0Ov1fPzxx/zzzz+4urqyefNmk/RFT0nTpk356quvOHjwIPny5bNqIn3OnDkMHjyYc+fOpb7R998r1en37yv90jMxPCYZvR5+/jnxz2plvhDZ2MWLF+nfv/8LlURp8vdXkktOTsr/xazCz09p5fbkidK+SeR4r7zyCk2bNs3QygwXFxdcTVx1mWXp9dkvke7iktj6Udq7WJ6pB42q0tnOc8uWLZQoUYIPP/ww3btesGABFy5cYMiQIVmuMv2vv/6iRo0aPEhy0Sh/Ogvu7OzseOONNzhw4ACD3n0XgALlymVquOPzqlWrRs2aNZMNfrWa7t2V45/Tp+HMGWtH81IzZ86kf//+9OnTB19fXxYsWICbmxs/Jz3nSWLOnDm89tprfP7551SqVImJEydSq1Ytw9BZvV7P7NmzGT16NB07dqRatWosX76coKAgNmzYYNjP+PHjGTZsGFWrVk0zvh9//JEnT57w2WefpevnuXfvHj/99BP16tXjt99+o2PHjhQsWJC33nqL5cuX80jNc5lQhhPpWq2WI0eO8O233+Ln50e+fPlo0qQJY8aMYdeuXbi5udG5c2fmzp1rynjTxc7ODicnpxced3Bw4M033wTgesLJsF6vZ/HixXh4eDDmud6qY8aMwcPDg8WLF5s/aBIr0iWRLiwuMlJZjgRSkZ6UDBwVNmTGjBksWLAAjUbDb7/9ZtZZGhqNhm+++YZatWpBVBSoK6UsfLCq1+sNn9dpHii7u8MffyjLfXfuVAaRmsLJk3D+fGLl082bpkvSC2GjRowYweLFi5k9e3b6n6RWo1etCllpTpK9vdIrHRLbRIkc7bvvvmPv3r1UqVIlw/vQarUsWrSIESNGmDCyLObJk8R+1gnnuNlC0vYuwrLUhK65EukvOd+7cuUKd+7cIVRdxZ0OQ4YMoWjRoly7ds24z1QrW7hwIR07duT8+fN89913mdpX2YSVs006dcLe3t4E0SmWLFnCqVOn8LWFi/cFCkCHDsp9K1WlP3v2jLCwMMNXahduYmNjOXnyJK+++qrhMTs7O1599dVU26McPnw42fYAfn5+hu39/f25f/9+sm3y5MlD/fr1jW65cvHiRSZMmMDy5cuxS+fg+kKFCtGvXz82bdpESEgIa9eu5a233mLfvn307t0bT09PmjdvzuzZsw0rGTLLqGGjx44dY8+ePezevZuDBw8SERFhqDjPmzcvb7zxBi1atKBFixbWnZ6bCp1OZ1hWox4cXbt2jaCgIPz8/F7oZ+fu7s4rr7zCtm3buHPnjqFiPL2mHJhC3mt509wml3MuPqr7Eflc8xn2L61dhMWpBwSOjkpCSihKlVISadInXVhZVFSU4aLujBkz6NSp0wvbrLmwhpNBGVs2mXQZqgZNsseL3gphCEDevBa/0Pbw4UPCosOgCSwJWIJDYNqHLQ36vcKb3+9AO20q9gMHKtUhmZFQmRHRqR3Om7fgEBvLlNWDeVI4d+b2m0Cr03Iz6Cb7/92PvZ3pTi4AKhasSJ+afUy6z3UX13EsMO0eiiLjcjvnZnC9weRxyWOyfV56eImV51YSr4tP1/aeuTz5ZNgn/P333yxdupQJEyakbw5DVmzrourbF8aOhRMn4PhxZYCxEMCmK5s4GHAw3du3LN0Sv3J+nDlzhgEDBqDRaOjatatyUTqnUQvDChRQLnJnFxUqwD//SEW6NVi5Iv3q1asAFPIpxJh/xxCrjU3X7puOasqaT9cwceJE3nvvPYoVK5apcM1Jr9czZswYJk2aBEDvvr35bMxnXH10ldCoUB5FPlJuo5TbmPiXV9n3uLSHasA1fSimLMfR6XXMPzafu2G2kTurUAP6roWIZYuY1MYBrZNRqdYUtfVpS7NSzdK17fMXFMaNG5fiIM6QkBC0Wi1FihRJ9niRIkW4nMoFwvv376e4/f2E/5PqbVrbpEdMTAzdunXju+++o0SJEhlKeru6uvLmm2/y5ptvotPpOHDgABs2bGDTpk0MHz6cTz/9FF9fX9588006dOhAnTp1jH4NMDKR3qBBAzQaDXq9nty5c9O2bVtD4rxGjRqpDl2wltjYWCZPnoxer+fRo0fs2rWLy5cv06dPH1q1agVgWLaaWqWbj48P27Zt49q1a6km0mNiYpJd8Xn27BkAP536CdJxLhQTF8PYpkpjflAq0lMaiCqE2Tx4gCOgz5+f+Pj0nWznBHYlS2IPaG/eRJfJ/5Pq/2n5vy0ywsHBgT179rB69WoGDRr0wu9R0LMguq7tih7Tt1PrdAmGANqyZdFZ+P3h0qVLUBNoBTOPznzp9k554JYHeAbdI/7XX9G/917GXzwqCofffkMDfOf7hG77dFR4BNt3LGBP6YzvNkUptyTMtBK5StC0ZFOT7OvKoyu8/cfbJtmXSJ1er+eLRl+YbH+Dtwzm31v/GvWcSS0mUb16dc6ePcv8+fMNMxPSYn/yJHaAtnr1TH9eWlzevNh37ozd6tXo5s9Hu2iRtSOSYwYrefr0KU5OTri6uvI46jFvrXkr3RehAKYdmsb81+bTv1Z/unbtyurVqxk6dCg7d+60ufNkc9P4++MA6L29ic9Gv8d2Pj7YA7rLl9Fa+OfK6e8L9kFByudMwYKm/Zzx9lbOg/390/xdVRPpR/Mc5eR+4wpXCvcsTPDPwXz++ef88ssvmYnWbPR6PQ1GNOB05GkYAi75XFimWcay2csytd82CdfUvruyhK9uD8fLyyvTscbGxrLnzh6GbB2S6X2Zip0O/HJBsbAorv4yk3UZnNueVD6XfDQq1ijNbdTczcWLF5NdpHF2ds58ABY2atQoKlWqxHuZOX9Lws7OjqZNm9K0aVNmzpzJhQsX2LBhAxs3bmTSpElMmjQJLy+vDHUEMSqR3qZNG1q2bEmLFi2oXbt2ukvtrSU2Npbx48cb/qzRaPjss8+YMmWK4bGnT58CytKDlOTOnTvZdimZMmVKstdRtS7QGrd8qV+BvxN9h1PPTrH13FbqhNchIiKCoUOHUqhQoRem4AphTgXPneMV4JmTE7vld8+gVHg41YHgI0c4ZqK/lx07dphkPyJniI+Px8Eh8aO6dOnSyWZ8qM4+O4sePXkc8tA8X3OjXiOl5Lv6WEREBOXuK0m4c45RBFj4/WHXrl2QUNxQ2b0y5dzKpbn9o7hHzK1/gCm7IGLCBPbky5fhgVTF9u6lztOnRBYqxGyns9TLBxUewdtx1clTqFSG9mkpVyOvciniEmP+GsMXpU2TlP3p7k8AlHYtTTUP21t1mNX5R/lzLvwc285so+qTtHtHppder+f4neMAtMrfCg97jzS3fxL/hL2P9zJ+z3h6tOrB2bNnmT17Nr6+vji+pF2L39GjuAAHIyN5nAWPI/JXr06T1avRrVrFjtatifNI++/KUuSYwbJWrFjBunXrePvtt6ncoTLxunjyOuSlWb6XVwQ+iH3AkadH+GjrR1y8cJFWrVqxfv169u/fz5gxY2jUKO1kSHZTautWqgP3nZxMdgxtCwqEhtIYiDx9ml1W+rly6vtCvf/+wxP4LySE2yb8u3cMD6ctoAkOZtuff6JNJQGpzuq5Ga1UyTbL14y8DnnT3HeMLoatj7YSXCIYfGHVqlVUrVrVNtqRPGfd5nWcLn4a8il/jiZxSKSbnRseDh7kss+Fh4MHue1z4+HggZPm5Ss/S8fuBsK47RBBr0G9GDZgWKZj3bBhAyuurYDWUNylOLVy2caqn8MNL/L29muMvFiE+OYNMr2/+NvxbAlN+3c9JCQEgFy5chlyl2kpWLAg9vb2yXrfAzx48ICiqaz2KFq0aJrbq7cPHjwwFAerf65Ro8ZLY1L9+++//Pfff6xduxbA0P2kYMGCfPXVVynmXI1RuXJlKleuzFdffUVQUBAbN25k06ZNGdqXUYn0rDZt2MPDA71ej06nIygoiM2bN/Pll19y+PBhtmzZkq5ftPQYNWoUw4cPN/w5MDAQX19f5r8zP81BcIfuHKL5iubc09+jbdu2AHTp0sUkMQlhDE1UFAAeJUoYfhdFQruLn36iaFRUpv9e4uLi2LFjB61bt35pQkIIUFY7NWrUiA8//JD+/funue3dU3fhBrxS6hX+eOcPk8UQFRXF6jnKheZzhSLpbuH3h8OHD0NB5f6o1qN4x/edNLd/FPkI3yBPRu+DPLdu0c7VFX3Llhl6bfuEGS/P3n+Lp/oF3CpoD9e1fOjVmgH9J2don88z1/vC+eDz1Fpci2Nhx6jauCrFc2du0FtYTBjvfa9Uh/zQ6QdalW5lijBFEv9c/4eOazry2PGxyT6HH4Q/4NnZZ2jQsL7felwd0x6CqNfrafNrG/YG7OVutbt4FfMiKDCIp0+f0rNnz9SfeO8ejk+eoLezo+EHH2TNNg6vv47+119xOH8ev/v30Q2xbpVbdj1m+Of6P6y/vJ65fnNf+vtoDUsTets2atSIx8Uew01oW7Etyzose+lz9Xo9n+38jO+Pf88Pd35gUftFfPbZZ0yePJk//viDMWPGZMkKwYyyS+iLW7h27ex1blGzJowZg3twMG1btQIL/ptm1/eF9LJPaDdSpVUrKpv4d0r/0Udonj7Fr0KFFAdmR0VFKQlLZ3isfwzA771/J7/ry1sejvp3FDOOzMDpbSdi58Ry/PjxdA9RtJTo6GgGjx8MxcFF48LW97aS3zU/+V3zk88lH472Gf99c/i2LBBGqCvEOz41yfvB1q1b0eZVZhZ1r9Wdic0nZnqfJtHsKlSpQu1LD/mj7WywQBufwMBAo7Z3cnKidu3a7Nq1y9AqVKfTsWvXLgYPHpzicxo2bMiuXbsYOnSo4bEdO3bQsGFDQCn0Klq0KLt27TIkzsPCwjh69CgDBw5Md2zr1q0jKiEvBXD8+HH69u3L/v37KVu2rFE/58t4eXkxcOBAo+JLKvONe7IAOzs7vL29GThwIAULFuSdd95h0qRJTJ061VCJnlrFeVhYGJB6xTooyyaSHhipz3F0dEzzQ65WMeXKWeCzQJ7EPqGQeyHjfjAhTCXhd9auQAHscuCBWaoSWj5pbt/G0cEhw5WtSb3sfUEI1bx58/jvv/+YMGEC77//Prly5Up125tPlOqY8gXKm/T3y9HRkUqPHIB4djrcomn4XUrnM3Vfk9TdvHkTEl6ucpHKL/3ZiuYpilfJyiypeYEhx8Bh9mzw8zP+hW/dgn+VSvxdzYvDKdCVKQ1HrmN/6xb2Jv4/bOr3hZrFatK8VHP23NrDkjNLmNRqUqb2t+r0KsJjw6lQoAJ+Pn45rkWBJVTzVKr8rz66isZeg4Nd5g/Rrz1R2heWyVeG3G7pKx5Z+MZCqi2oxo5bO+g2qBurvlrFnDlz6Nu3b+r/7ufPA6CpUAHHNI6Xbd6gQTBoEPY//YT98OEm+czPrOx0zKDX6/l428cEPA2gTbk2dK/a3dohvUAdbu3r68vse7MBaFS8Ubr/Dea8Pgc9euYdn0f/v/qzsONCvJZ54e/vzw8//JCzho8GBQFgX7KkyT8zrap4ccidG01YGI63b0NlE/RvMFJ2el8wSkJFrEOxYqYfal2qFJw9i+Pdu1C9+gvfVntHe5TxIJxwvHN7UyR3kRe2S8mUV6ew/85+jgUeo9SnpVjx2Qqb+/dzdHTku0Xf0e2vblQoXIFmZdLXlztdHj1SblzhaXiASX7227dvQ0LqrGKhirbz91m5MrzyCpqDB3FcvRpGjjT7SyZduZxew4cPp1evXtSpU4d69eoxe/ZsIiIi6NNHma3Us2dPihUrZujk8cknn9CsWTNmzJhBu3btWL16NSdOnOCnn5TVqhqNhqFDh/LNN9/g4+ND6dKlGTNmDF5eXsnmegUEBBAaGkpAQABarZYzZ84AUK5cOTw8PF5IlqvV9pUqVSJvwtDajNqyZQsXL17Ey8uLzp074+Likqn9GdWbpW/fvkZ/9evXL1MBmlqbNm0A2LNnD5DYG13tlf68l/VQz4xczrkom0/5ZTn74CwAR44c4aeffuJ8wkmJEBaR8AFHegaK5SQlSyq3YWHw+LF1YxE5yuPHj5k4Uamu+Oabb9JMogNcC034rCpg+s+q8lolmXS1ACw+tdjk+0/LxBkTIaG4tXyB8ul6TpMSTZjdAHR2Gti61ZDkM8qyZcptq1ZsibsIQN4qCcNoEhIttu7jeh8DyryW6Pjol2ydOr1ez7xj8wAYXG+wJNHNpESeErg7uhOni+N6qGl+xy48vABA5cLpT/RUKFiBLxt/CcAux12UrFiSt956i9jYNIaqnTql3Gb1gYrvvQceHnD1quFCmjCdCw8vEPA0AAD/x7Y3xF2r1RoS6T4+Phy9exSABt7pX56v0WiY+/pcBtYZiB49H279kDe+fAOASZMmGeZo5Qhqz9lUZoxlWRqNMnAUZOCoJen15hs2Ci8dOBobG0vjxo0pWV85N6xWJP0t7hztHVn11ipyO+fmlu4W3x7+NtPhmsNTvVJYWiJPCdPtNDoaIiMBCHWFUEKTzRbMqJs3b0LCYoD0nh9YTN++yu3SpcrvrQ169913mT59OmPHjqVGjRqcOXOGrVu3GoaFBgQEcO/ePcP2jRo14rfffuOnn36ievXqrF27lg0bNlClShXDNiNGjODjjz9mwIAB1K1bl/DwcLZu3ZosYT127Fhq1qzJuHHjCA8Pp2bNmtSsWZMTJ05k+mfSarX07t2bGTNmJHs8Pj6e119/nTfeeIMRI0bw/vvvU61aNUOSPqOMSqQvW7aMX375hWXLlhn1ZUuCEq6Oq1etfHx88PLy4uDBg0RERCTbNiIigoMHD1K6dOlUB41mVo2iNQA4e19JpM+ePZsPPvggx/Y+E1YSGqrc5n/58rQcxc0N1OnTt25ZNRSRs0yZMoXHjx/j6+tL7969X7q9IZGe38SJ9MhIiiQMXrqeH34+8zNxWssNuQrRKwc5JfKUwM0xfe0impZsin9+2F0joTJ25suHlCaj0ykHvwB9+7I/YD8AZeq0Vh67ccNmD4yT6lChA95xaWj/AAEAAElEQVS5vQmJDGHNhTUZ3s/Omzu58ugKuZxy0at6LxNGKJKy09hRqVAlAC4+vGiSfar78S1oXC/WkY1HUrFgRYIjg/Gb5se4cePSbklx+rRyW7NmRkO1DblywfvvK/d/+MG6sWRDf1/923D/1pNb1gskFbdv3yYmJgZnZ2diPGJ4HP0YFwcXoxJmoCTT57WdR/9a/dHpdSx6tIhWn7Ri586dL70onq1k10Q6JCbSE6qUhQU8fQrqBd0i6asEN4paPJXK0MHatWuzf/9+Gr/VGIBqhY17XyiTrwwL2y8EYNL+Sey4toN/beCC7eTJkw3DT28/vQ1AyTwlTfcCCTkGnb0dT12A/OCfysWK9NLpdNwMuAkJh/kmP/fJrC5dlBzC1atw6JC1o0nV4MGDDZ97R48epX79+obv7dmz54U8bpcuXbhy5QoxMTGcP3/+hRY9Go2GCRMmcP/+faKjo9m5cyflyye/yLFs2TL0ev0LX82bN08xxubNm6PX69NVjX7s2DFWrFjxwrY//fQT27Zto3379mzatIlhw4Zx/fp1vvnmm5fuMy1GTwt1cHCgY8eOrF+/nsOHD7/065AVfnkuXrxIZMKVr6QiIyMNvczVf3iNRsP//vc/wsPDDdV/qokTJxIeHv7S3rSZoSbSzzw4A4C3tzdAhibHCpFhkkhPnTrnIJMf+kKk1+3bt5mb0J972rRpL12yp9VpuflYae1i8or0GzcACAViXT24H36fTVcyNpQlIy6HKCepFQtWTPdzmpRsAsCYWgkt2379FZJUVbzUv/9CQADkyUNAi9oEPA3AXmNPtQYdlUq0Z8/g4cP0789KHOwcGFhH6funVpRnxLzjynN7Ve9FLucclASygsqFlMrxC8EXTLK/jFSkAzg7OBtO+H869RMHAw6m/YTskkgHUHtlbtwIRvYdFWn7+1qSRPrTW9YLJBVXEqqLfXx8OH5PGdJb27N2hnoD22nsWNB+AX1r9EWn17En/x5uu982abyWcPvBbdZfWs/of0dz7VHKq7dTpNfD3bvK/eycSJeKdMtRq9Hz5AFXM8xX8PJSbhOKLlNz7oEycNTYC2wAXat0pW+NvujR03ZxW17t8Cpnz541ej+msnXrVkaPHk3v3r05fPiwYcWQSSvSE3IMcbk9QAMUgBsJ5xYZde/ePeI84kADeZzzUNCtoAkCNaFcueCdhJlOamGOMLsLF5Rj3mbNkrcl+vXXXylcuDC///477du3Z/r06bRr145//vknU69nVEOd+fPn8/PPP7Nx40b+/vtvXnvtNfr160f79u2xt7fPVCCmtGbNGmbOnEnjxo0pVaoUuXPnJjAwkH/++YdHjx7RpEkThg1LnBY8YsQINm7cyNSpUzl9+jS1atXi1KlTbN++nbp16yZrqm9qhkT6/TMAhsr3u+rBhxCWIIn01JUuDUePSkV6DrR462J2XdjFwg8XktvdNMOp02P06NHExMTQokWLdA3kuRN2h1htLE72TpkeKvmChBOKOxoNVeKrcMTxCAtPLuQt37dM+zopuHDhAgvWLgBnqFgg/Yl079zelMpbisPc4nEtX/Kdugjz5sGkdPYJ//ln5bZ7d/Y9VJIptTxr4ZGrgJIQCAhQLjAULmzsj2Rx/Wv1Z/ze8RwPOs6xwGPUK1bPqOffenKLzVc2A/BRvY/MEaJIwreQUjl+McTEFemFjKtIB2VlR98affn5zM8M2DyAb4p/w42rN14ckPb4ceKF5myQSA+vUJrrPrmoce0ZLF4M48ZZO6RsITQqlIN3Ei/I2GJFuppIr1ChAkfuHgGMa+vyPDuNHYs6LEKr1/LL2V/otq4b9hp76uWuh5eXl022yQoNC2Xx9sX8efZPzoWfIzJ3pKHs7rf/fuPUB6fI65L35Tt6+BBiYpSLzxYYtmdxFROOSSSRbjlqIt0c1eiQ+HuaygXU+Ph47Ozt+C/4PyBjiXSAua/P5dDdQ0qhSEcY/PFg9u3dZ/H3g4CAAN577z30ej0ffvghDRs2ZMRSZYZDybwmrEhPaB+rKVAACIP8ibMoMurmzZuQ0I3Wp4CPTb6X0qeP0iby999hzhxwd7d2RNnW8uXLAdi+fTugVNMnLeY+efIkVatWZc2axNW5uXLlIiAgwPBcUPrCG8OoivSBAwdy/Phxzp49y6BBgzhy5AidO3emWLFifP7551y8aJoD/8xq3749Xbt2JSAggFWrVjFjxgz++ecfqlWrxsKFC/n3339xTXIl093dnb179zJ06FAuXbrEjBkzuHz5Mp9++im7du1Ktq2pVS+iDLO49PAS0fHRhkS6VKQLi5Ie6al7Sc88kT19/NPH9D/Un9Xhq/Ec7cmB8wcs8rp37txh1apVAHz33XfpOjhUq8TK5iuLvZ2JL2onvDdUa9GC3z79DQ0adtzcwY3QzFWTpMexY8c4cUvpmVehYAWjntu0ZFMAtnRUWmXw44/wXPu2FD1+DOvXK/f79mX/7f3J9ke5csptFumTXsi9EF2rdAXg+2PfG/38H47/gB49rcu0NmpVgMgYU1akB0cEExIZggZNhv/tvmvzHYXcCnEx5CKdp3fmyy+/NLRINEgYFEWpUpAvX6ZitgX7bu9jWlWlj7X+p4UQZ7lWVtnZtuvb0Ol1hsrB209uo9PrrBxVcpUqVaJ37960adPGJIl0UJLpSzos4b1q7xGvi+ft39+mlF8pNm/ebIqQM02r07L+6Hr8vvEj/9D8FPiuAF9c+IIjDkeIzKsk0b2dvfH08MT/iT/NZzdHp0vHv5t6Hlu0KDg5mfeHsIakFelZoNVbtpAwaNQs/dHhpYn0EiVKUKJaCcJjw3GydzL6uFTl7uTO72//jrO9M5SHA3EHWL16dUajzpDY2FjeeecdHj16RO3atZk1axaAeSrSE84jHAoVxQ47cILivpkr+nF1daVyU+V4yebauqiaNIGyZSE8HNautXY02dru3bvZvXu3coEFOHjwoOGxVatWERsbi6urq+Gx3bt3ExgYSFxcnOHP6vxMYxjd2gWgatWqzJ49m8DAQFavXk3NmjWZNWsWVatWpWHDhixevDjF1iqWUqdOHcPAzsePHxMXF0dISAj//vsvAwYMSHGZfJ48eZg1axYBAQHExsZy+/Ztpk+fbvZedt65vcnvmh+tXsvFhxcNrV2kIl1YlFSkp05au+Q4cw7NYV7QPLAHtBCZN5KmvzZl7MqxZn/t4sWLc/r0aWbMmEHt2rXT9Ry1P3q5/OVMH1DCe4OmQAFK5ytNm7LKwO5FpxaZ/rWec+3aNUPFibGJwCYllPYui72DlQPZx4/Tt7xy9Wqliq5qVahd29AfXd0f6jT5TC5LtSR16OiaC2t4EP4g3c+LjIs0DJdV9yHMS60cv/LoCvG6+EztS61GL52vdLrnCzwvv2t+ZvopMwY0zTXE5Ypj3rzn2gRlp7YuwI3QG6zzhWA30ATdAxtJeGZ1aluXXtV74WDnQJwujnvPjGi5ZQF+fn4sXbqU9/q8Z2jfkNlEOoC9nT3LOi6jW5Vu6DQ64jvH8+HMD9Me4GtmoVGhdFvXjYLfFeStrW+xXbudx/kegwPYhdtR9llZPij0Ace7HefOyDusf2c9Gp2GszFneeu7dKxIy8790UG5qK7RwJMnEBxs7WhyBnMOGoU0W7s8ffqUe/fuERivJNkrF6qMg51RjR2SqVakGjPaJAxEbA1DpgwhPDw8w/sz1ueff87Ro0fJmzcvf/zxBy4uLsTr4gkMU34+c/RIt0s4jwAo4JO5wr06derQqH0jwIYT6RqNUpUO0t7FzJYuXcrSpUv56CNl5ewnn3xieMzPzw+NRsOMGTMMjy1dupRu3bpRuHBhw59/VlcjGyFDiXSVo6MjXbp04Z9//iEgIICJEycSEBDABx98wM6dOzOz6xxDo9Eka++iVqQHBQURH5+5k6is4kn0E0KjQq0dRs4mifTUqRXp0tol29Pr9UzYO4GhO4aCBmppa7H/nf24P3FH76Jn4o2JNBrTiOjYaLPGUbVqVcM8j/RQK9LNcjCprlZJeG/4oPYHACw9s5RYrXmTAFdvXIWEt6QKBYyr/FET34eDjhE3JCEJPGsWaLVpP1E9kOrbl4eRIVwKuQRA4xLKcClDIj2LVKQD1PGqQ/1i9YnVxhp1AWTVf6t4HP2YUnlL0dbn5S2GROaVzFsSN0c3YrWxmV71oVa1q1XuGdWjag9al2mN3l4P7eDHBT8SkXR1RzZLpK/fs55YB1hSK+GBH3+0ajzZgVan5Z/rSi/SDhU6GFqQ2WJ7F4CTQSfR6rV45fLCO7e3SfZpb2fP8jeX82b5N8Ee7jW5x6BZg0yyb2OEhoYyePBgPl3yKavPr+ZJ9BNyO+XG84knXdy7sKXtFuKmxnF9+nUWDFpAnfJ1AGhQvAFveSgJ9A0RG1iybUnaLxSgVLZm20S6q2tioY20d7EMS7V2CQ+HsLBk37p2TTnOdi+rtOfIaFuXpAbVHcQbPm+APYQ0D2HcZMu0EVuzZo1hDtPy5cspnXCeGxgWiFavxcneiSIeJvw7TrLqXZ3jpBYAZYa6D5PPhjKlnj2VhPrevVmqACeratCgARqNhoEDB3Ly5El27tzJtGnTKF68OHXr1k227cmTJw2/+xmVqUS6KjY2lv3797N3714ePHiAXq/HxcXFFLvOEWoUqQEoifTChQvj4OCATqfjnjHD0bIorU5Lg8UNqPJDFSJi07HsXpieXi+tXdKiHijfuiXLN7OxeG083ZZ3Y9we5UB2XLNxnBh/gsZVGnN/8n2qRSkHzYcdDuP3q5/JK+ni4+O5evVqhp5r1oPJhPeGtbt3U7duXZoWbYqnhyfBEcFsuLzB9K+XxIWgC2AHrnaueOXyMuq55QuUp7B7YWK0MRxv46tcCLh5UxkgmJpz5+DECXB0hB49OBCgtPOpXKgyBdwS3hvV1i5Z7IBYrShfcGIBcdqXt6rQ6/WGIaOD6gwyfcsgkSI7jR2VCirtiNRBoRmVmf7oSWk0Gn5s9yMuDi5QFp4Uf8KyZcsSNzh1SrmtVSvF52c1F+8rf28La4MOYOdOuJb5k/6c7MjdI4RGhZLXJS+NijeiVN5SgG0l0mNiYrh48SIxMTEma+vyPAc7B35/53dqu9YGB1gSuYRO33ZKX6uUTNJqtSxatIjy5cszf/581uxUesX2qdGHR188ImhWEGs+W8PrdV/Hzi7l9MDvn/6O91NvsIcPdn7AjaA0Pgeze0U6yMBRSzN3Rbq7uzLIFF5o76Im0l1KKvktUyTSNRoNy95cRgHHAlAAZl+Znene4emhDvocOXIkb7zxhuFxta1L8dzFsdOYJEWoSFKsp66c3Xt+L9qXFbak4fHjx+YtIjKV4sWhjbKSl6THTcIsKlWqxAcffMDRo0epV68efn5+PHr0iNmzZyfbLjIykvXr1/Paa69l6vUy9b/k9OnTfPzxx3h5edGtWzfOnTvHp59+yqVLl2ij/tKIl6peVOmTfvbBWezt7fn999/Zs2cPBQva2ARiM7jw8AJXHl3hXvg9k1ydFIl0Oh0//PUDTcc15dS1U6lvGBkJ6vJSqUh/UYkSytXkyEhleJLIdiKjI/EZ4cPvt34HYO5rc/m6+deG/uQerh6c/fYsw4sPx93RnX0B+6i5sCZ7bu0xWQzLli3D19eXL7/80ujnGhLp5jiYTDgAPhMQwIkTJ3hw7wH9avYD4KeTP5n+9RLo9Xr8nyntlMrkKWP0ICGNRmOoSt/78AQMHKh8Y/r01J+kLr3s0AEKFXqxrQtkyYp0gLd936awe2ECnwWm6wLIwTsHOXP/DC4OLvSr1c/8AQqDyoWVCnI1EZ5RaiI+sxXpAGXzl2VM0zHKH/xg+vzpyklwZCRcvqw8nk0q0p9ongBwOx9sK51wmrRggfUCygbUti6vlXsNBzsHm0ykX7hwgcqVK1OqVCmOBh4FoEEx0ybSARztHTkw9ABln5UFO9gYs5Eyn5ch5GmIyV9LdeTIEerXr8+AAQN49OgRlStXpk5rpdK8WpFq6W5RYWdnx8GRB3EMc0TroaXRd42I16ayejonJdLV90BhXubukQ6ptndRC13i8imFCKZIpIPSPm199/WgB101HRtubjDJftMyatQoDhw4wMSJE5M9fvvpbcDE/dEhWbFeuXxKIn3llpUEptKLPj18a/gS+Ex5vk1XpENie5dly16+KlZk2vz581m9ejUffvgho0aN4ujRo3Tq1CnZNidPnqRDhw706NEjU69ldCI9NDSUuXPnUrNmTerUqcPChQtp3LgxGzZs4O7du0ydOpUKFTI2fCGnStraRa/X07lzZ5o1a2bWIae24mDAQcN9WzqgzsqiY6MZvmQ4uT/NzUcnP2K/3X6a/9AcrS6VN2/1SrGjo0yUTomzc+KBlfRJz3ZCnoZQalQpbuW+BVoYVGQQH9dPuR/0jL4zODngJFUKV+FBxANaLmuJ3zd+qZ9IplNERARjx45Fq9VSqFAho54br4vn5mNluIo5K9LV1Sp3797lf7X+hwYNu/x3cT3UPAnl+/fvE5MrBoBqXhk7YVET4PsC9sHgwcrAs8OHIckkd4PYWFixQrnft6/yvNv7gCSDRiExkR4SAk+fZigua3B2cDa05VErzdMy75iyTY+qPcjvKhdYLcm3oFJBbisV6arPGn1GpQKVwB1u+dxi06ZN8N9/oNNB4cLg6WmS17GmuPg4Yt0TW1bNa5BQKbx0KURFWSmqrE9NpLfzaQdgk4n0KwlVxeXKlTNbRbrKxcmFq9Ou8pbbW6CF27lv03BxQ8Nnuak8ePCAPn360LBhQ06ePEnu3LmZNWsWp0+fJsJRWQVcJl8Zo/ZZonAJVnRYAfEQnDeYjlM7prxhTkikV0yY3SIV6ZZh7op0SHXg6LVr18AJnjkqg6irF6luspdsWqopoxqOAmD8yfGGSmtT0uv1xCUZnP3KK6+8MDNQrUgvmdeE/dEhWYtIw4DWAmS4+j46Opr7McrvQj7nfLZ/jPp/9s46vMmrf+OfSFN3L1AFigx3BmwwbExgwtyY22++d753e+fKmPuAKRsMZmxsY2MM1+IUaKEtVKi7RX5/nDypJY2nScnnunoRkkdO0+R5zrnPfe7v7NkQFgbHj8Pq1V3dmlOCSy65hHfeeYdnn32WoUOHdnh94sSJfPbZZ6SmWnf/a49VQvoll1xCjx49uPfee2lsbOTFF18kLy+PFStWcP7556NQeJf+2kK/qH6oFCqqGqvcqlPpCtbneYV0R1FYVshFL19E8KPBzD8+n9qwWlADzVAdVs27W981vmPrfHQrXZ+nDN6c9G5JTlEOaU+lURxWDM3wVL+neOfWdzrdJz0qnc03bubshLPRyXT8rvmdhAcSOl/ibIbXX3+dgoICUlJSuP126zJTcypyUGvV+Cn9HJbl2gb99UGpz6Q8fvw4SWFJnN3nbMB5rvQjR44YCo32j+5v0zEkAXxD3gY0MdFw1VXihdde67jxTz+Jzn5CAkyfTnVjNTsLRfbzxKRWjvTgYCEagsfFu9wy4haUciVrc9YaCukZI786n2UHlgFw5+g7XdU8L3oc4Ugvri2muK4YGTKbvz/tUSlUfHS+PmN/OGRrsltiXYYN6xb9h+2HtoMS0ICiRsFvfaAyOlwUK16ypKub55HkVeaxu2g3MmTM7C2WURuE9MpjXdewdkiO0x79e3Ci+gQKmYIRCZYV/LYFuVzO0geX8ubINwmWB3Ok5ggjPxzJ71m/O+wc2dnZhhimefPmcejQIe655x58fHwMon1KmPUZsZeecSlXRgon38rGlfx+0EibTwUh3Rvt4lqcnZEOJoX0Q4cOQTTo0BEXFEd0oHWmF3M8M+0ZJiVNoqaphsuWXubwFSoff/wx48aN42gnhrCcCr0jPcTBjnRJZ4iMpG9kX/E4HA4fsW3C4NixY4bxgUGYd2f8/EByPnuLjnYrrBLSly5dilar5bzzzuO6665Dp9OxaNEiXn755U5/vHSOSqEyOIYyCjM4cOAAH3zwAStXruziljkfr5BuP/nV+Tzy5yMkzk/k+/rvUQerkdXLmKSbxN4b9vLObCEMPrL6EePvsTcf3TySkO51pHcbdmXtot+L/agKq0LWIOPdce/y3yssK/QT4BPAzzf8zDXh14AaisOKSX89nUV/LLK6HUVFRYb75AsvvICvr69V+0uxLmnhaY7NNJTQXx/89YOL48ePA22LjjaqGx1+2gkTJjBihhAx+kX1s+kYg2MHE+IbQlVjlRCOpQKuy5d3FMGlIqPXXgtKJRuPb0Sr05IcltxxgsJDc9J7hPTgwv4XAi2Oc2N8sO0D1Fo1ExInGFbMeXEdUn/wYMlB1FrbVrtIInxyWDIBPgEOa9vpiadz49AbAfio8CM027eJF7pJPvrGzI0A+NT6kKBJQCuH74foYxa9RUdtQnKjj+s1jqgA8V5KQvrRcvfpU0mOdGWKcGkOjh3s0O+OKf7v/P9j/937GdNjDOUN5cz8YiZnP3+2TbnpOp2ujVA2btw4nn/+eTZu3Minn35KrF6ArGyopLyhHICUcNuKrS2+azFDZENADvNWzqO4tlX0oUbTEo1xKgjpR49Co+P7QV5aodXCyZPicRdEu4wePZqUceK74qhYl9Yo5Aq+vPBLIvwj2FG4g6SnkjqPZbUQnU7Ha6+9xi233ML27dtZtmyZyW1zq5zsSI+MJDE0EblODj6QkZ1h0+Gys7NBb0J3+1gXCSneZflyMTHvxaHU1tpfZ9GWY1g96m5ububHH3/kkUce4eGHHzb788gjj1jdqFMRabC6q2gXf/75J7feeiufSgP7bkp+dX4bYdcrpFvHsnXLuOyby0h+I5kX179Is7IZnyofLg++nJOPnOSfp/5hYPJAbh15K5OSJlHbXMs1313TsXPe2pHuxTitC4568Xi2HNnCyPdG0hDWgLxWzrezvuW2c26z6hhyuZxFdy3iq7O+QlmlRBOs4bp11zHooUHsO2Z5JMPTTz9NTU0No0aN4pJLLrH2VzFEqzitM6m/PgQliY61JKTP6jOLHsE9KKkrYfnB5U45dXaVcMzZ6jhRyBWM7zUe0Me0DBwIZ58tigbPn9+y4YkT8Ntv4rG+s2s01kXCQ3PSAe4cJRzmX+z+gvL6jp35Jk0TH2z/oM22XlxLclgy/kp/mjRNNkc9GPLRY+zPR2/PKzNeITYwlszSTArX6b833SQfPSM3A4AQbQgTU8VKlKVnhorouy1bYPv2LmydZ9I+1gVahPTcylzTsYMuRhLSa0PFYNpZsS7G6BnSk3+u+4d5g+ehQ8dvzb+R+EAi+aX5ZvdVq9X8/fff3HXXXSQlJdG/f38hNOl55JFHGDu27e9ytEKI7dEB0QSpgmxqs1wuZ93D6+gX1Y/86nyuWn4VWp1+fFFQIMR0pdK5omdXEx8PQUHid/WwiXWPo7S0JV9aWhXoDEw40t9++21mzZsFwOAYxwvpIK4DH575IbJ6GXVhdYz6cBRfr/na5uM1NTVxww038MADD6DT6bjlllu4TzKUGMHgSHd0RnornUEpVxKlEBOq+wpsi687evSowZHu1oVGWzN8OAweLCbcvrb9b+rFOCkpKbzyyis2ieEbN25k5syZvP7661bva5WQ/tlnnxl+Pv300zb/N/XT3cVgRzE0diggHOk9ewr3myRYdFc25ImcWhliObBXSLeMdbvWEXVvFBevvpglmUto1jYzIXECyy9dTu1LtXx131dEhbYUqpXL5Hx83sf44MO/+f9y4zs3tj2gV0g3j9eR3m3Ye3Ivs3+YjTpYjbJayR9X/MHFEy+2+XiXn3k5WQ9l0auyF8hhb8BeBn88mOf/fZ765s4zdQ8ePMiHH4polFdffdXqgpqAc6vWazRQUQFAuF48lu5LSrnSUHRUEl4dSXFdMeUN5ciQ2fW7TUoUQrhUOJT77xf/fvZZy7Xv88+F22nCBOjTp832bQqNSnioIx1gQuIEBscOpl5dz6c7O/bPlu5fSlFtEfFB8Qb3uhfXIpfJDXEs+07aNtA05KNHOSYfvTVhfmEsmLkApQYij+iFvm4ipB+tFPf4eFU8t50vJld3+p1Ad7H+HuF1pVtFfXM9q7NFJmxrIT0hOAGlXEmztpmCmoKuap4BnU5niHbJ04lIElcK6SDqWHx6wadcGXolaOBE6AlSn0tl1bZVHbatr6/nxx9/ZN68ecTFxTFlyhTeeust8vLyUCqVrFmzptNzGWJdbHSjSwSpgvhu7nf4K/35Pet3zn3pXPGCFOuSkADdOfZVJvPmpLsKKdYlMlJMbDoLE0I6YIjEc4YjXeKi0Rfx52V/oqpUoQ3ScsUfV/Do4ketPk5JSQlTp07ls88+Qy6X88Ybb/Dee+8hlxuX/nQ6XUtGeqgDHek6XYeV70nB4vhHq2wbU3ukI10ma3Gle+NdHM4VV1zB448/TlxcHNdeey0//fQTxcXFRrdVq9Vs376dF198kUGDBjFhwgROnDjB2WefbfV5rRLSr732Wpt+vJindcHRXvplcHlSR6SbIhUaPTP5TMArpFvCn3/+ybT/TKM0rBS0kFqfyuYbN/PvvH+Z028OPkrjnYs+kX2YppwGwML8hWRkZbS86I12MY/kSPcK6R3R6SA7WwiRHsD9v99PYU0hp8Wcxs47dzJl6BS7j5kYk0ju67nMHzKfgIoAtD5aHvvrMdLfTmfRzkUmi5EePHiQwMBAzj//fCZNMuJ8tgAp2qV3RG+b22+S8nLx9wWi09Px8/NrI/bfOPxG5DI5a46tIbPEsYPIO58SbuieQT3x97G98LaUb742Zy06nQ6mTIGhQ6GuDt5/X/x+0oS/vshoo7qRzcc3i/2NCeke7EiXyWT832hRTPfdbe92cINKkS+3jrwVH4UTB6teOmVgtH056c50pANcMvAShmf546eBen8V2FmwyV2I6y/cs5dNv4zh8cNRyBQU1BRQfK1eSP/qK8PkohfzrDm2hnp1PT1DerYRn5RyJb1CxFjHHfr+BQUF1NTUIPeRs69CfHfG9BjTJW354p4v+HDch8hr5TSGNjLz+5k88fkTbbZZuXIls2fPZuHChZSWlhIZGcm8efP48ccfKS4u5nr9vcwUUqSOLfno7Tkt5jQeHPAgAL/W/8rry18/NfLRJbw56a7BFYVGwWi0S01NDU1NTS4R0gGmDJ3CoYcOEVEeASp4IfsFzn3hXIvjng4fPszo0aP5999/CQkJ4ZdffuHuu+/u1KxTVl9GbbNw8/YKdeD3tq4OmvQFvPWGvQGxYoK/SF0k+uVWkp2d7XmOdBA56UolbNsmCrV7cRhvvPEGe/fu5YILLuDbb79lzpw5xMXFkZiYyKhRo5g2bRoTJ05k4MCBhISEMHr0aB599FF0Oh0fffQRu3btYuTIkVaf1wmBql5sQboo51TmEBQtltkVFBS0qbDc3ZDy0a8YdAUAlY2VRpeaexG8++67zJw5k4aABgDuHno3WS9mMbrHaIv2X/bgMgIqAtD56Zj19qyWG7LXkW4eyZGek+MxgrHL+PxzISy+9FJXt8QiJGHqo/M+4rTk0xx67Hvm3EPlq5V8fsHn9ArpRV5VHtf9eB0hD4Tw2vcdC1zOmTOHrKws3n7bdF61OSQh3SmdSenaEBLCWTNmUFdXxy+//GJ4uVdoL2b1EUtdHVl0VKfT8cP6HwBIDk6261ijEkbhq/CluK6YQ6WHhCtEcqW/9Rb89RccPgyBgTB3LgBb87fSqGkkJjCmpTBSazzYkQ7inhvuF052eTa/HvnV8Pz2/O1sPL4RH7kPN4+4uQtb6EXKSZcEcWsxONKjHe9IBzEhMzknFIC9cUow4XLzNLLKxXd6UM9BBPgEcFqMuEcs9SmA006D+npYZH0tjFOVnw/9DAg3ensRx1Bw1A2EdB8fH5599lkuv/tyGtQNhPuFd6nT8aazb2LnrTsJKQ8BX3g2+1mmPzrd8PrMmTNJT0/nrrvu4u+//6awsJBPP/2U8847D39/8xPPkiM9NdwxE2BPX/A0vat7gxwe3PQg+RliIvqUEtIPHuzadnR3iorEv84W0iVHuhRPBDz//PP4x/lT2ViJUq50WAHvzkiKTeL4S8cZUDcAZPBL0y8MeWIITZoms/tGR0ejUqlIS0tj06ZNzJw50+w+khs9NjAWP6Wf3e03IJn1VCrRzwZGJIv6R33H9kWjsT7aa9SEUaBPpPIYRzpAdDScd5543ElWvRfb6NOnD4sXL+bEiRMsWLCA888/n8bGRrZv387q1atZv349R44coX///tx99938888/7N27l+uvv97kSg1zWLxXV4W4nyqE+4cbltIUaAvw8fFBp9NRUND1Sx6dQV1zHTsLdwIwNXUqMYEi78wdOtTuRnNzM7fffjt33HEHGo2GmHTxXo3pbZ1bxk/lx8ILFoIGCsIKePAz4SDxCukW0LOnWJ7a1CQ6V15a2LRJ/Pvrr51v5wbU1NdwvFJEkyT4JzjlHEqFkqsGX0XmnZm8MOUF5E1y6sPqeWDPA8TeG8vPm39us31UVJRhFZK1NGuaDc4yp3QmW61WkcvlRt0sUtHRhbsW0qBucMhpCwoKaAoWg4UhPYbYdSxfpS9jeoprpSHe5dJLxWCpsBCuuabluSDRM/83pyXWxaiDR3KkHz8uhDUPI8AnwBDL07ro6NtbxeO5A+cSF9SNc209AHsc6SV1JZysFUXZ+kc5b8A/oUJ8XzbE1FFWX+a087gKnU5HVpkQ0tPCxXe8+agwsyz6azHcpq+jIa1k8dIpOp3OaD66hDsJ6dHR0Tz22GOMv0TU1BjTc4xzindbweDUwZx44QQD68W1YI1mjeG1wMBADh48yIIFCzjzzDNRKpVWHVvKSHeEI11i4xMb8a30RRug5Ydf9feVU0FI90a7uAZXOdJjY8XEsEZjKG56+PBhtNHCRNU/qj8qhcq5bdDj7+vPnhf2cJH/RaCFvaq9zPhihtH7rU6nM7i7w8LC+PXXX9m8eTP9+1vWB8ipdFI+ujSOiIgQRhagf6xokyZMY/W1C2DmFWJiICYwhhDfEMe001WMGyf+PXy4a9vRjYmIiODOO+9k+fLlFBUV0djYSH5+PuXl5QZh/fXXX2fiRCMrjq3E4l5CV4W4n0pI8S67i3YbctK7a7zL1hNbUWvVJAQnkBSa5FYdanfj+PHjfPXVV8hkMl588UVUseIGbku24dxJc5koExeO+Yfmc/j4Ya+QbglKZcuAwFtwtC05ovPFjh0thYDclM0HN4MMaIae4T2dei5/H38envgwe2/Zy6D6QaCBk2EnOW/leYRcEcKCTxbYtKSxNccqjqHRafBX+pMQ7ISJAena0Ens09m9z6ZXSC/K6sv4/sD3DjntkSNHQF/mYWCs/dEUUjyLVEAUHx+4+27xWFq+22op/NrctW3260BkJIQKN66nxj3dNuo2ZMhYlbWKzJJMimuL+XqPKIAkRb946TqkSJaDJQetLsYo5aqnhKUQqAp0eNskBlY1ArAjHn459IuZrd2fIyeOUNlYCUByaDKAYcVfZk0mXHWVmGw7eBDMZFB7EZNAOZU5+Cp8mZLSMULNHfv9m44LY8DYHq7NRzdFkH8Qa/8r7kfNAc3UNdc55LiSkO4oRzpAVGgU31/2PTRBTKPeNXsqCOmto128E2zOQxLSY2Odex6lsuUc+v7hoUOHQP+Us2Nd2iOXy1n6n6V8PutzglXBrDm2hrEfj2VfYctqtaamJm688cY2q1tTUlKItCKy1ZCPHubAfHQwOo6QVtBmlWWh1hqPvuyMQ6WH2hzHo5CiYr1agsvw8fEhLi6OUGnc5kAsFtK7KsT9VMKQk17U/QuOSrEup/c6HZlM5pYdanchJSWF7777jhUrVnDP/fdwokoUQLHVSfLzf37Gt9IXXYCOmW/M9GakW4q34KhxpM5AbS0cONClTTHH9qztAKjqVDYv47KW/on92f3iblaet5L4iniQQ3V6NffsvYcPP7MvDqV1PrpT3HOtnSTA3XffzahRo1i3bp1hE4VcwY3DRQFjRxUdPXz4sCH/MD0y3e7jSYK4wZEOcNNNBgc6ffvCeOFE1Gg1hkLYk5JM5NbLZB6dkw5CQDm3rygM9+7Wd/lk5yc0ahoZET+iy7KBvbSQHJaMv9KfRk2jIYbBUpwd6yIRUylE570xsCJzhVPP5QrW7hOCpbxGTqCvmICYPXI2AJWBlTT5+wkxHeDdd7ukjZ6E5EafkjLF6ISOO/X7N2/ezKFDhwxCurSKyR2I8I8gwl/cg4+U2X+/0eq0LRnpdhYbbc+s0bM4w+cMelXqnzgVhPQ+fUSfoLwcSkq6ujXdF1dFu0CbgqNarVaYO7pISJe4asxVrL9+PUmhSRwuO8zgNwfz+vLXKSkpYdq0aXz66ac88MADNutGORV6R3qIkxzprTSGXqG98FX40qxt5o8tf1h1uJqaGjJyMwAPi3WR8GoJ3QqLR95dFeJ+KjEkVixhzyjM4IUXXmDNmjVMmzati1vlHFoL6dDi/nGHDrU7sGrVKv766y/D/6dNm8b5559PbmUuOnQE+AQY4nCsJSQwhHdmvAM6yA7OprpQzEJ7Helm8M4id0Sna3GkA2zd2nVtsYB9J4SDI1Tn+Flpc5w96mzy5+fz5rA38WnygTDoNda+QebhUn0+urM6k+2cJAcPHmTbtm1ktcsGv37Y9chlctbmrOVAsf2TKQcOH4Bw8bhfVD+7jze+13jkMjnHKo6RV6lf5RUWBnfdJR7fdZdhyenuot1UNVYR4hvS+YDJw3PSAe4cLQq6fpbxGe9sfcfwXGcFqby4BrlMbshhtTYn3VBoNNo5hUYB0Onw169QPRkIvx35jfpmz4s5as2OozsACG4ONjw3a9QsaAJU8NPmn1riXVas8Ma8maF1ProxJDOIO/T7r7zyStKHphsmpy2tPeQqpFodkhPTHgprCmnUNCKXyQ0FXx1J/9j+9KrS/yfRwaKcO+Lv3/J7enPSnYerol2gjZCen59PXV0d6E/bVUI6wKDYQWy+cTORdZFofbXcv/N++lzah7Vr1xISEsKKFSsMRkxrya1ysiO9lcYgl8kJ1Ypx2CufvmLV4X755Rde+ljU5PJoR3pBATQ4Jg7TS9dhlYWtK0LcTyUkR/r+4v2MGjuKM844g4huKG5qdVqD4+/0RL2QLjlTKo91UavcA51Ox4IFC5g1axYXX3yxqEzdCmk5ZnJYsl1ixw0zbuCWISLbuK5ILyx1w8+aQ/HOInekrEw40SXcXEg/UircXLEqJy8N7YT/O///mD1UuBz3ldtWSFBCcqc5rTPZzpFuaqVUz5CeBnezI4qO7srdBXLwxdchWd3BvsEMixsGtHOlP/MM7N0Lt99ueEqKfxnfazwKucL0QSVHugcL6VNTp5IemU51UzXHq44T6R/JZadd1tXN8qJHcpRbm5PuEkd6dTVyfZRXhVZOXXMdq4+udt75XMCBIjEJGOPTYlJQ+agIqw0D4McdP8LgwXD66aBWw8cfd0UzPYLy+nJDP/+cvsaFdKnfn1uZa3V8kSNpbGzk6NGjoNfO0iPTDQ5wd8GRQrq0wiUxNBEfhY/dx2vPhH6jia3R/+dUcKSDNyfdFbgq2gUgQR+VmJ8vVkgqAf0lQTI9dhWxQbEceuwQiVWJoICKiRX0GtKLjRs32pX8YHCkOysjvd2q98QgcZ6jldaNqY8ePWr4W3ikkB4ZaSi6Sm5u17bFi93YpG67MsT9VCI5LJkQ3xCaNE0cLOm+s9oHig9Q0VBBgE+A4YbkTks8u4qmpiZuvvlm7rnnHrRaLXPmzKGHNCuuR1qO6Yhcw9fPfZ3UsBTCakUBFW+0ixmkWWSvkN5Ce3f+li1d0gxLOVErYpEc3lG0kpHxYnXW1nz7Jh4k95zThXT9taGz2h1S0dFFuxbZ7Uw9WiO+Y0mBSQ5zRxviXXJaCelyOQwcaHCjQ4vQPinRRKyLhIdHu4BwBd0x6g7D/28afhN+Sr8ubJGX1kiOcpsd6TFOdKTrIwyafXyYkDYdgBUHVzjvfC4gt1rvyAtp68jrFyREsi3H9fc3yZX+wQdCUO+mfPnllwwYMIC1a9dave+qrFVodBoGRA8w9O/bkxCcgFKupFnbTEFN17n7s7Ky0Gq1qNJE/aGxPd0jH701fSMcJ6QbYl0cWGi0NeNCE5ED9UrQnSrjitY56d0cnU7He++9x7Zt21x74i5ypB86dAhiADlEBUS5RSH2iJAIjr5ylERFIsjgsXcfY8AA+ybODRnpoc53pAMMiBHtLWousupw2dnZhuhHaYLRo5DJvMa8boRDbOLODHE/lZDJZAZX+j+Z//DBBx/w3nvvdW2jnIDkUhndY7TBDSHl9B2rOGZ3AT5P45dffuG1115jypQpfPzxx8hkMl599VU++eQTfH1922wrOUkc0QEO8Ang06lv46s3Ar2/8Vu7j9mtkW583miXFqRYF6lju3s3NDZ2XXvMUKYRHbr0WPtzt+1hZIIQ0rfl2zcQMQjpzo52MeNIB5iRNoPE0ETKG8pZun+pXae9/gFR+HN40nC7jtMaKe+8jSO9HTqdzvD6xCQzRoBuEO0CcO3Qa4nwj8BP6cdto27r6uZ4aYXkKJeKh1pCSV0JJ2tPAo6JRTKJfpLNJzaWB855AIAfM3/sUmexvRSrRd2n/rH92zw/qbe4dhxTHxNPXHwxREXBiRPw88+ubKLLyMnJ4aqrruLAgQNkZGRYvb+Uj35un3NNbqOQKwyT2l1posnUi59+aWIS0R1rRDjSke6MQqOtiS9rBuB4CFQ1VTvlHG6HJKSfAtEuy5Yt4/bbb2fUqFHU17sozqu5ucXY4WIhPSUlhTHni2vC4NjBbhN9J5fLmTFkBgDHG+yrp9egbqCoVgjarnKkj0gZAUB9QD1VVVXt9zJJZm4mBIjHvSN6O6SJLscbFdtt8OatuBmSQ3vTsU3ceuut/O9//+viFjme9vno0DIDWtVYRUVDRVc0yyl8seoL3nz/TR5//HGuueYazjzzTM4444w22zz77LM88MADrF+/nuDgYH7++Wfuv/9+ozdrqQPsKCfJGSGDAGiSw12bH6Gsqswhx+2WSDe+3Nxu7UKzCklInzRJCAvNzbBrV9e2qRPqfUWnf0hS1y7NHJEgOpBHK45SWldq0zGaNE0G8cHVjnRjQrpCruCm4TcBsHDXQrtOm1kmhI3TYk+z6zitmZA4ARBuXVPv+aHSQ5ysPYmvwpdRCaM6P6DkSD92zKOvByG+IWy5cQvbb97e5Ss1vLRFcqQfLDlosUAtxbokhyUTpApyWtsM14aoKCYlTSLML4ziumJDsUZPpEYl8iikAb7ElWdcCUBTaBO1TbXg6ws33CBe7IZmF51Ox6233gpAcHAwd955p1X7a7Qafj38K2A61kXCHVajZmZmggzqI0X/wC0d6U6IdnGWI92/UKxWyQuBfcfti6/zGE6haJdvvvnG8PhjV8VbFReLmkwKhWtWT7eKdpk+fTpjZ4trwuCYrstHN4Y0WX6gxL7aRFLtoECfQMfHWrWLiJQY3EP/XkbQoe5SZ0iRllG+UUaLWHsEXiG92+AV0t0MyZGe2ySW2BQVFdHU1NSFLXI8xoR0fx9/YgNF7ll3iXd5dNGjXL3pau7+/W6ee+45Pv/8c/755x82bNiARtMyKJ4+fTqXX345jzzyCNu2bWPWrFkmj2kQ0sMd1AHWO07L/KA5VM3ZL9uer9btSUgAlQo0GuFE89LSCUhOhlF64dFNc9Ib1Y2oA4TgOX3U9C5tS5hfmEH8ttWVfrT8KFqdlkCfQOctNW1XbLSXPu/UmJAOMHfAXADW566nQW17EZ3MEjEYTY9y3MqB6MBow6BjXe46o9tIbvQxPcfgq/Q1uo2BhATw8xMiuofnHKZFpDk3T9uLTSSHJeOn9KNR02gQv8zhknx0MES71Pj5sfLnlUxOmAx4brxLWXUZ2kARczfptLaxToNTBtMjuAdatGwv2C6evOUWsUT799/h8GFXN9epfPnll/z222/4+vqydetWQ42rRgtXm20+sZnS+lLC/MIY32t8p9smhyYDXdvvP3ToEERCs6IZf6U/g2IHdVlbTCE5L0vrSymrt8/w4vBxRHv0/YO8UPg3w/QKsG6F5EjPzoZuNmZvz5QpUwyPX375ZddoFFKsS3S0ENOdTStHOogi9NC1hUaN0T9KrJ6yNw44p7IlH93hjvt24wgJgwEoHDKPWDYBpVarKWgSMWC9wz3UjQ7eaJduhFdIdzMMBUfL9qPyVaHT6cjPz+/aRjmQopoiw2ziuF7j2rwmOVOkTp4no9VqWZCxAABVHxW33XYbL7zwAl9++SV///13m22ffvppvvrqK55//nn69u0878vh2Yb6mWJ5eBQAWxRbWPLPEsccu7shl0OSPjvOe/MTSI70pKQWId1Nc9KljmKgTyBxIV2fcWhvvIsU69I7orfzlpoaKTbq5+dHZGSk0cFT38i+xAfF06hptNmZunz5cnbk7gAcH00h5Z6bincxxLokWlDfRS6HVP3SeA/OSffivijkCsNA2dKCo1IMjORmdxr6a8P2nBzmzJlDbIUwQqzIXOGR8Xwn6oRgEu4XTkp8x/7VmJ5iaf+WE/r7W0oKzJwpHn/wgUva6AqKi4u55557AHjyySdJ1wuEO3bsYMCAAfz4449mj/HLIRHrMrP3TJRyZafbGvr95V3Xp8rMzASx2IpRPUaZbXNXEKgKpEewEPcOl9o3cePIWktG0YueBUFwpOgUuTcmJEBQkDDaeHjcmzluv/126uvrSUhI4Pjx4yxevNj5Jy3S52i7ItYFWoT08nKy9u41COlD4rp2NWt7+keL/sGh0kOotbavjDTko4c5OB8dTEa7JAQnoNAqQA7bDls2Djp+/Di6cNG/GBjv5D6OM/E60l2CWq1m/vz5jB49mpCQEJTKlnt7RkYGt99+u5hItwOvkO5mDIgegFKupKy+jPi+8YDxwm6eipSPPjB6IGF+YW1ec4clno5i2Y5l1IXVAdAc0Mzrb77Oww8/zBVXXMGECRNQ2DCjXtVYRWm9uCE52pEek9KPuIo4kMM7f73jmGN3R7w3v7YYE9Ld1JEuXVeSw5LdIuNQig6xteCoNJh2Wj46dHCShIaGUldXR2ZmJiqVqsPmMpmMM5PPBGDNsTU2nfLPTX/SrGgGnePzD6Xc87U5xovnSc9Leepm6SY56V7cF0NOuoUFR/eXuNaRrg0LAyCiLAJfhS9Hyo7Yvcy8K8gqF9/htIg0o68PChcu5W83tKolc/vt4t/PPgNXZQU7mbvvvpvS0lKGDBnCgw8+aHj+yy+/JDs7m2uvvZajZowEUj76OX06j3WBVv3+ymM2t9leHnzwQUbMFnE+7piPLuGIeJdGdSPHq4Rj3FnRLtK1oTgQcspynHMOd0MmO6UKjvr5+fHAA6I2xosvvohWq3XuCV1ZaBQgNBT8/QGYPnYQpfWlyGVyt1u5lxiaSIBPAM3aZotXrRkjp0LvSA9xQryfiWKjMpmMxEBxvqQRlgn4SqWS9PHie+aRhUYlvDXXnE59fT2TJ0/mgQceICcnh5CQkDYmj5SUFD777DO7JwK9Qrqb4af0M7jwgvqIfMvuKKS3jnWR6E5C+ocHPjQ81qEjq8x+oUVykUT6RxLiG2L38YA2N7iB4WJ2t6jOugrapxTe5VhtMRbtcvAgVLtfgallq5cBIKvsehEdHOdId1o+elNTy99R3wGWyWRmJyEkIf3vY393up0p9uTvASBSEYmf0s+mY5hCcprvKNhBTVNNm9eOVx3nWMUx5DI543qOM7Z7R6ScdK8j3YuTkJzl7upIl0WJ1WylBaVMTZ0KeGa8i9RHSws3LqSH1YYBsKNoR8uTZ58tJpHLyuBbzy/W3tjYSHl5OXK5nI8//hgfHx/Day+88AJjx46loqKCuXPn0tBgPLorrzKPXUW7kCFjZu+ZZs/pDv3+OXPmoI4Tbk53zEeXcISQnluZiw4dAT4BxATGOKppbSkWRXtLAqCgpsA553BHurmQ3tTUxOeff05FRQUAN998M1dffTXffPONIf7JabhaSJfJDK70HmHiqfTIdIf3Se1FLpOTHik+dweKbZ/Azq1ykiNdpzMZ7QIwPHk4AJpQy2rA9OzZk+DkYMCJYx9XIJnyioqgrq5Lm9Jdef7551m/fj0vvPAChYWF3HjjjW1eDw0N5YwzzmDVqlV2nccrpLshUryLsodYgmAqj9YTMeSjJ3ZfIX1b/jb+zP4ThUxhKN7miAJBTsk1bLXkqleYyD8uU3sLjppEuvl5hXSoqgJ9h5qkJIiNhcRE0XHavr1Lm2aMPXlCoHUXIX1Y/DDkMjknqk9QUG39YNPpQrrU+ZXJQO86tQRJSN90fBP1zda7NLMqhaCVGuz4ZedJYUkkhiai0Wk6RM/8myNiXYbFDSPYN9iyA3od6V6cjDWO9NK6UopqxUS4tOTbaehdpz7xYuVkfn4+s9NnA54ppH/9+9cAaEuMOysvmXgJ6EATpGFXlr6gtkIBN98sHi9c6IJWOhdfX19WrlzJ1q1bGTlyZJvXVCoVS5YsISIigu3bt3PfffcZPcbKwysBIUhHBUSZPafU78+tzLW4oK6jqW2qZc9J0T/wCCG9zPbxROtCo05bmae/NpQEQElTiXPO4Y50cyF99erVXHPNNQwdOhSdTkdgYCCLFy/ucK1wCpKQHhvr/HNJSEK6vp6lu+WjS0j3entWghkc6Y4uOF9VJeKOoIMjHVrGL5bGVel0OtesxnU2YWEQojdE5pwiq3ZczJIlS5g8eTL/+c9/TJrAUlNTybWzxpXNQnpqaip33HGHXSf3YpyhsUMBaAgTjo/u4khvUDcYCjV1Z0f6fd+LAcblgy43OCAl0cseHJ6PDm0c6WMHiAFEYJyHVsF2Bd7lWC1IN/+ICJENCW6dky5l4ErXma4mSBVkyD+2xZUu1ZpwWmdSujaEh4s8cD1vvvkmo0aN4u233za6W5+IPiQEJ9CkabI6J12r1VKkFULgafGn2dZuM0jX5PbxLlbHuoDXke7F6QyMEc7ygyUHzQqNkms9KTSJIFWQcxumn4T37ynCpfPz8zkv/TxkyNiav5UTVZ5VkFsyKgQ1G3/fEiIT8K0SBYiXrG9VR2a2mDxg2zZwdryBC5DJZAwfPtzoa4mJiXz55ZfIZDLee+89vvrqqw7bSLEu5/Y916LzJQQnoJQrUWvV5Fe7vh7U/v37eWfFO2h1WnqG9CQhOMHlbbAURzjSnV5oFFqiXQKgiirnncfdkIT0g/YVfnRXli5dCsC5555rVJRyaryLnRnpNk3SJYhrQYK+7rzbCulR9gvphoz0UAc70iWzXkAA+HV080vxjesOrLOomPXW/VupbKwETK8e8whkMu8KdyeTm5trdpIvODiYyspKu85js5BeUlJCSIiD4iW8tEFypNeH1rNmzRoeffTRrm2Qg9iWv40mTROxgbFGi9y0FtI9sVgVwO/bf+ffEuFsvG3wbQ7p+EoYOsBOEtLHDxoPQK281nHH7254HektSEK69J6AW+ekl2nFZz09Nr2LW9KCrfEujepGQ8fXaY50EwWCTp48ybZt2zhwwHin3Z6c9Pz8fDRhYsAzKmWUVftaiiSkty84alWhUQnJkZ6d3S1ENC/uR0pYCn5KPxrUDWYLsUtCuktyXPViWbB+MJifn09cUJyhiPyPmeaLUroTVUoh+A1LGmZymySFEBn+OfJPy5N9+4JKBTU1HjvB/u+//3LjjTcaIhs6Y+bMmTz22GOAiHZofR+ob65n9dHVgGX56CAK6kouyK4w0Xz++ec89OZDgHu70aGtkG7rGMlQaDTMSYVGoU20S4OP8Qigbkk/fXH0buhIb25uZsWKFQBcdNFFbV4rLi7mjjvu4PTTT3fe2N2OaJel+5eielbF57s+t25HyZGunzMYEutehUYlDEK6jdEuWp2WvCph2HS4I10aRxhxo0PL+GX38d1ma28AXHffdQBE+UTh7+PvkCZ2Gd6aa04lODiYkydPdrpNVlYW0dHRdp3HZiF98ODBdlc69WIcqSp0bk0uw8YOI16/dNbTMeSjJ55udDZbmgmtbqqmvKHcpW1zFHcvuRtkEFMRw/i08U4R0o1NQthMKyFdcuKU1JXQqDY/M3xKIs0gnzghMqRPZaSbf1IrB4MbC+l1PiKHbmjS0K5tSCsMQnqBdUJ6dnk2Wp2WYFWw83JOTRQI6tVLREB1Fjl2ZtKZAKzJWWPVKQ8fPgx63X5AjHPEQMlxvun4Jpo04jtcWldqiM6YkDjB8oMlJop4h/p6KDiFsmC9uAyFXGGom2MuJ136DDs9Hx0MA+Rw/WRSUVERarW6Jd4lc4Xz2+Ag6hrqUAeKjOxx/UzXRxjVQ9zfDlS1Eix8fGCg/v3etctpbXQWDQ0N3HjjjXzyySc888wzFu3z1FNPMWXKFCZMmNBmELrm2BrqmuvoGdLTKvdmV65GzczMBLGogrE93FtITwlLQSFTUNdcZ7N7P7tCH+3iLEd6XZ2h8G5xIOgCdai1auecy93oozc1lJUZJhq7C2vWrKGsrIzo6GgmTmxrNpDL5SxatIhNmzaxcuVK5zTAjmiX7/Z/h1an5al/nkKrs8LwIAnp+o+v2zrS9dEuB0sO2jSRUVRTRJOmCblMTo+QHo5tXCf56ADpUXpjUygcPGx+JUdenRD808I82I0u4RXSncrYsWP56aefTBoE8vLyWLlyJZMmWbEK2Qg2C+kPPfQQP/30E3//bVtBMS+miQqIokewuJjtKdrTxa1xHFI++vie442+7u/jT1yQmG32xHiXHYd3cNBX3Aj+O/W/QMtsqyOEdEO2oZMy0iP8I1DJVQAcKvBOkhklJkZUctfpwM5cLY9HcqS3FtJHjBBL1nJywMxMsCspqypDGyg60GP7uc9geVSCEGa2nthqVQfYkI8e2cd5OacmHOk99VEOnQrpNuaknyg6AeHisSQeOpp+Uf2ICoiiQd1gWAmwLncdIJw90YFWuBN8fFo6w96cdC9OwpCTfrLznHSXOdJ1uhYhvU8fXnvtNb766it0Oh1z+s0B4O+jf1PZYN+SWVex8cBGMRpqhqFpQ01ud/7w8wEoDyhHrWklDg7WCyy7dzuvkU7imWee4dChQ8THx/PEE09YtI9CoWD58uWsXLmSqKiWHHQp1uWcPudYdV9KDk0GuqbffzDzYIuQ7uaOdB+Fj6H/b2tcpFMiIlujd6PrVCrqfeXo0FFYU+icc7kbAQFich26XbyLFOtywQUXoFQq27wWGRnJbbfdBsCzzz7rHFe6HdEuGYUZgBhD/3bkN4v3a9ZPEibUQKgqlJ4hPa0+tyvoHdEbhUxBdVM1J6qtj1TLqRRjuR7BPVDKlWa2thIT4wiJmMAYlBolyGHz4c2dHqq6upoaVQ0AA+NdYBZwNt5oF6fy4IMPUl5ezllnncX69etRq0Wfra6ujtWrVzNjxgzUarXJei+WYrOQXl5ezvTp05k+fTpz587l5ZdfZtGiRSxevLjDjxfrkeJd3l76No8//rhF2VHujE6na+NIN4Un56TfuvBWUEJweTC3n3M70JJfXFRbZNegUqfTGd4TZ0W7yGQytJVCbFy3e53jztGdkMm8s8gSxoT00NCWnEg3cqVvOqjP6m6ElDgnZoNayeDYwSjlSorrig1LKy1BKrYj5Qs6BRNOEklI76x2R++I3oac9I3HN1p8yqFThoIMQlQhTnPay2Qyg+tcKjBqU6yLhDcn3YuTkRzm+0ssdKTHOHmQWVcHDSKyQRETw3333cell16Kj48PfSP70j+qP83aZn498qtz2+EgNh0S9wffOl+UCtNCwvljz4cmwBd+29ZKkBmiX/LvYY70Xbt28fLLLwPwzjvvEGZFUemQkBDkrWpnHDp0qI2Qbg2SOOzqfr9Go+HIySMQDEqZkuHxxrPh3Ql7V7k6ZWVra/RObFlUFPEhYpWrp9VLsItuGO+i0WhYvnw5ABdffLHRbe6//358fX3ZtGmT4w2WDQ0guUqtFNJrmmraFLJ8Z+s7Fu/bHCP6oD2qRFKA00wrdqJSqAxjAVviXQz56GEOzkcHkytbJWQyGZEyMcbYc6Jz4+jRo0dBf5iBcd1ASPdqCU5l0qRJvP322+zZs4dJkybx/PPPAyLyZfr06Rw5coR3332XESNG2HUem4X06667jl9//RWNRsOyZct4+OGHmTdvXpuf6667jnnz5tnVwFMVSUj/7t/veO655zhxwrM7IodKD1FSV4Kf0q/TzqqnCuk5RTls1Qnh8J6R9xieD/ENMbjs7Sk4erL2JHXNdciQOTbDrN1NLkATAMDhQvuLo3ZbvLPIAunm3zojHdwy3uVAgehc+jX4tRn8dzX+Pv6cFiOKalqTk25wpDsrHx1MZhtKQnpxcTENDcbzT2UyGZOTJwPW5aQfLBEurv7R/Z06aJmUKJbySQK6QUhPskFIl3LSvY50L07CEkd6WX2ZwfkpZaY6DenaoFK1FJpuhSHe5eAK57bDQew5Lgbw4brwTrfzU/kxKGoQACW+raIbJCHdgxzparWaG264AbVazUUXXcQFF1xg03Gampq4/vrrOW3yaRyrOIavwpcpKVOsOoah3195zKY22EpOTg7Nsc2AEMo8IXO3b4TtQnplQyVl9aLP77RoFynSJDqaCKXoO+w4ssM553JHJCNJNxLSMzIyKC4uJiIigjPPPNPoNnFxcdx0002AcKU7FMmNrlKBFZN9IFb169AZim//evhXw+pucwToo3oSqmFwzCCrzutqpHgXWwqO5lQIU5TD89HBrCMdoFeAiIvMqui8D52dnW2IfnTq2MdVeIV0p3Pbbbexa9cu7rzzTkaNGkVaWhrDhg3j1ltvZefOndx44412n8PmNRyfffaZ3Sf3YhqpqIWypxINGvLy8khNdWJxGCcjxbqMShiFSqEyuV1XLvG0h5s/uhl8wbfSlycvf7LNa30j+1JYU8ih0kOGTGRrkVwkPUJ64Kv0tbu9QJvl2dJNLlQWShVVHC05xUXizvAWHBUYc6SDENI//9ythPTAHoGQAWeNOKurm9KBUQmjyCjMYOuJrVzY/0KL9nGpkN6uAxwREYGfnx8NDQ3k5+ebvC+dmXwmX+750iohPbNEDD4NuYlOQhLM1+Wuo6qxiu3524GW/HSr8DrSvTgZyZF+oOQAGq0GhVzRYRsp1iUxNJFg32DnNkgSyyIjQSbj0KFD7N+/nz59+jBw4EDm9JvDi+tfZOXhlTSqGx3XZ3ESRc1CqEnwTzC77fSB09mzcQ9bTmzhuqHXiSelaJesLKiuhmAnv/8O4I033mD79u2EhYXx9ttv23wcpVJJSUkJzSlCkJ7YcyKBqkCrjtFVBprMzEzQRwK7e6yLhD2OdGkcER0QbRAWHY4+2oWoKEqOHoBQ+GvrX9x25m3OOZ+70Q2F9BEjRnD8+HEOHDiAj4+Pye0efPBBPvjgA/7++282bNjA+PHGY1ytRhLSY2PFqmArkGJdJiROQKvT8nvW77y39T1emf6K+Z319en8NDDKz70zuftH9WcFK+xzpIe63pEO0C+6H9vytlHQ2HmdoaysLIMjXVrt79FIWkJJiShWbsSU4MV++vfvz4IFC5x2fJuteddee63FP16sR3KkN4c3g7zzZfSegCHWpZfpWBdo6VBLHT5PoL65nrWNawG4rvd1HZYGSw6S1svLrEWaQXfocsy6upaCmfqbXJSvyLs8pZZiWovkSD+VZ5Hr61sy0NsL6aNHi3+3bhWTNW6AlAuaFuF+nWFbCo5K1xKndiZNdIBlMhnp6en07duX6upqk7u3zkmva64zezqtVssbX7wBQFKgEzr0rRgaN5QgVRCVjZV8vONjNDoNiaGJtjlyJCHd60j34iRSw1PxVfjSoG4wKTa6LB8dWibZ9PnY8+fP54ILLmDJkiWAKMoZHxRPdVO1VRNpXUVocigA182+zuy2Y3qMAWDziVZ5rlFRkKAX4fe4f12jpqYmg3j+2muvEWdD7rCEVGjQv79wcwcVWC8GSP3+3MpcNFqNzW2xlkOHDnlMPrqEPUK6U+ostaeVIz1KJa4Px6tM11PpdkjRLt0sI71Hjx5MnTq1020SExO55pprAHjlFQuEakuRCo3acJ3aVSTitobGDuWOUXcA8GnGpxbV7jmQnU1JoBDuh2mdEzXoKKRVaDY50iu71pE+LGkYAFXKKjQa09f/fTn7wBdkOpnzoqlcSWgohOtXwZ3KeoKH4z5r3L20IS0ijUCfQLQKLUR2XtjNEzAUGu3V+Qy1J0a7LMxYSIOygTj/OF6//vUOrxs6vmW2F/B0SoEgSSjz8YFA4SBKCBaDweKGYsedp7vhdaS3uNGDg1s6AhJDhoBSKZxJ0nZdjLRkXLq+uBNSwdFt+dssKtJU31xvyFPvCkc6iKW+mZmZDJEiDYyQFp5Gj+AeNGub2ZhnPif9xIkTlCAG4YPinbuMVilXGu5Fr254FbDRjQ4t0S5HjrjNxJGX7oVCrjAU35UE8/ZIsS+Se92ptHakI0QWgPz8fADkMjnnp4vCnJ4Q75JVLibBLJmYHBYrBv0783dSVlXW8oIHFRxVqVRs376dl156ySHxm+Hh4fgl+gGQvd6y2ITWxAfF4yP3Qa1Vk1+db3d7LGXGrBn4JAmHrTRB4u5I44ms8izUWrWZrdvi9EKj0MaRLo0nTta7T+F5pyM50rOzobm5a9viAKwtHPrwww/z0EMP8f777zuuEXYI6ZIjfWjcUM7pcw5JoUmU1Zfxzd5vzO574903cjxI/P596gOsPrcrsSfaxamOdBMRka0Z3VuYryL6RqDVak1u12esuD/H+sV2mmzgUXiNeU5j0aJFjBgxwtAvbU9+fj4jRozgq6++sus8dgvpy5cv55JLLmHw4MH07t1S+OzgwYO8/PLLHp/t3VXIZXIGx+o75nGe7UgvrSs1ZN9aI6Q7pfK3g1Fr1by6UQgxj5zxCAF+HW+29hYHghaHvrMKjUrL5ZIixI20QlPhuPN0N7w3vraxLu2XWvr5tYgKbhLv8ue2P8WDii5thlEGxgzEV+FLRUOFQdDpDMlVFuobSlRAlPMaZsGSzM6QyWRMTrE8J/3QoUOg/3UGxjpfDJQKixbUFLT5v9VI0TaVlS3vmRcvDsaQk15sPCddKkTqUke6XkhP0LuxWw9Y5vSbA8APmT+g1ZkeHHc1Op2OrDJx3bWkeHNqRCryOjk6mY6l65e2vOAhBUd/PfwraW+msa9mH//5z38cUouipqmGcm05AHv+3sPJk9YJpwq5wuCGdKWJpjqgmmZdMxH+Ec4t3O1AeoT0wF/pj1qrtvq9cnqhUWiZZIuKIjkiGYBydbnzzudu9OghjElqtRDTPZyHHnqI6dOnW1xAtHfv3rz44ovExsY6rhGSkG7lMTVaDbuLxMTm0LihKOQKbh15KyCKjprTGA5WHCRfn9LlV+zefTtpov1k7UlDHQRLcaojXeoTd+JI7xct2l7aXEozpiefYvqJVQGDew52XPu6Gq8xz2ksXLgQlUpl6J+2JyEhAX9/fz755BO7zmOzkK7Varn00ku5+OKLWbZsGdnZ2aKirp7w8HAee+wxFi9ebFcDbeHEiRO88cYbTJ8+ncTERFQqFXFxcVx00UVs3rzZ6D5VVVXcd999JCUl4evrS3JyMg8++CA1NTUubn0LUrwLsZ7tSJdiXfpF9SMywPTFFFou5DVNNVbfDLqCV1e+SnZ5NpH+kdww7Aaj20gup0Olh2yeHDAI6Y5ckmnEcdonTrS1VlHruPN0NyQhvbBQRJycipjKR5dws4Kj5ToxkEsIMJ+B62pUChVD4oQIY0nBUUM+emQfpxbktGRJpjnOTDoTgDU5a8xuuz1zO/gCOuFmdzbthXObhXR/fzF4Bm9OuhenITnNTQnpXeJI10e7GBPSJydPJlgVTEFNgVWFlF1NRlYG9ep6ZDoZiSHmhQS5XE50UzQAv+7+teUFD3Cka7Va7vrpLrLLs1mUschhx5WMMsoGJbo6HT///LPVx+iKWEcpnmdsz7HOvZc6ELlMbhD9rY2LNES7ONOR3ira5ZQcT8hk0FeYpzw93kWn0/HNN9/wxx9/UFVVZdMxmqT4UHuQMtKtdKQfLjtMvboef6W/4Ttzw7AbUClUbC/YzpYTW0zuW1NTQ5myjBMh+ifc3BQapAqiV4go2mlNTnpVYxUVDRWAk6NdOjHkRPpHEuYXBmCY1DaGS2pDuRpvwVGnsX//foYNG9bpNkOHDmX/fuOrPC3FZiF9/vz5fPfdd9xyyy2Ul5fzwAMPtHk9NjaWiRMn8ssvv9jVQFt46623uPfee8nOzmb69Oncf//9TJgwgR9++IHx48cbchwlamtrOeOMM5g/fz79+vXj3nvvJT09nVdffZUpU6bQ0NDg8t8BWgnpHu5Il2JdzOWjA/j7+BMXJG6W7h7votVqefqvpwGYETbDZIGltPA0ZMioaqziZK1tSxylJZkOdZIYcZyO7i+WWClCOxYz86InPLylmJibRJe4HOmmL3UC2tM6J72LOVl+El2AmMAa2889c1CleJetJ8y/X4Z8dGd3Jjtxkvz666+MHDmSG24wPnkoIeWkbz6+2WxO+vZcUfAzVBvqkuKEo3uMNiwPjQqIMjh6bMKbk+7FyUhOc2PRLuX15YaVFdISb6digSPdV+nLrD6zAPeOd1l/QPRPFTUKVErLlosPihDRUztO7mh5UnKk794NnSxP70o++PUDjlSLyT5TEzK2IH0me/kJIefXX3/tbHOjuDrWsa6ujsV/CaOXp8S6SNi6ytUphpz2tIp2GdBTXLOa/BwgpnoSUk66hxcc3bp1K3l5eQQFBTF9+nSr9t21axdTp04120e0CBujXXYVitVBg2MHGwp0RwdGc+nASwHhSjfFkSNHIBZOSHWj3VxIB9viXaRYl3C/cOcUKbfAkS6TyUgKEqas5WuXG92mtraWLUfExEe3EtIlY57Xke5wKisrCW8fPduOkJAQysvtWzFls5C+cOFCRo0axbvvvktISIjR2fzevXu3cam7itGjR7NmzRqOHDnCxx9/zAsvvMDSpUv5+++/USgU3HbbbTQ2Nhq2f/nll8nIyOChhx5i1apVvPjii6xatYqHHnqIrVu3Mn/+fJf/DtAipIf1D+P777/vkjY4AksLjUpIbgl3F9Jf+O4FGkIboAmemvWUye18lb6GQYIt8S5qrdpws3NatIuewSnCVdWga6Cq0TYHQrdHJvPe/Cx1pG/bBp0Uj3EFmzI3iQeNkBTr3CKWtmJNwVGXuDLq61tWWxhxkjQ3N7N9+3Z2m3Ffpoan0jOkJ83aZsN9wBQHi4V7q6dfT9vabCX+Pv6GCYyJiRPtcyRKsXZeId2LkxgYI5zmB4oPdIhKMQiZIb0I8Q3psK/DMeFILy4ubuNAnJ0+G3BvIX3nsZ0AhKgtf9+m9hNF9/JlrbI309NBpYKaGrd1l73818uGx/uK9zksPlFyQE7oN4FVq1bx5ZdfWn0MVwvpBw8eZGuBmLj2lEKjErYI6Vqd1jmGnPa0cqQPTRsqHqvgeLHnrqq2Gikn3cOF9KVLRXTVOeecg7+/v1X7qtVqVq9ezVdffUWWvf0iG4X01vnorZGKji7Zt4TiWuP1wA4fPgyxGKJdMJGz7E4YCo5a4Ug35KOHOWFspNFARYV4bGZlq7JSCcC3q781+npGRgZ/7xbxQpbUMvEYvI50p5GQkEBGRkan2+zatcvuGCqbhfQjR44wcWLnS6EjIyMplZwrLuTCCy/kjDPO6PD8xIkTmTx5MuXl5ezZswcQS5c+/vhjgoKCeOKJJ9ps/8QTTxAUFMTHH3/skna357SY05DL5FQ0V+Ab6XyHnjNo0jSxNV90Vs3lo0t4SsFRKRt9mG4YfXp2fmG3Jyc9rzIPjU6Dr8KX+OB46xtqCiPRDUGqIMNA3JVFnzyOUz3XzJyQ3r8/BAQIUaGLBxM7soRr0K/Br0vb0RmSkL6jYAcabecTD5KQ7tRMV+naoFS2rL5oRc+eQuw2Fzkmk8kMrnRzOenHG8Sx7HKGW8mVg64E4IpBV9h3IMmR7o128eIkUsNTUSlU1KvrO/SNJCHdJfno0KHvEBkZiY+PKNpYUFBg2GxWn1n4yH04UHLArhoxziSzWNyf4nwtF2kum3QZAOpgNQdy9aKFUgkD9bE6bpiTfiD3AMcCjhn+X9NUYxBR7EXK5x+TMobp06ejUllfCM7V/f6t+7aCfo54dI/RLjmnozCMJ8os/04V1hTSqGlELpMbIiCcQitHelxEHH6Ifldxo3HBslvSDYR0nU7HsmXLALj44out3n/EiBGcffbZaLVaXnrpJfsaI0W7WCl4ZRRlAB2F9NE9RjMifgRNmiY+2Wk8H/lA5gGIxmOiXaBFSD9YanmkUE6FE/PRKypAmqw14wxOjxbfmYLGAqOvH8k6YrheS9e/boFXSHcaU6dOZdWqVfzxxx9GX//999/57bffmDFjhl3nsVlI9/f3p7KystNtcnJyCAsLs/UUTkHq7CuVYvbr8OHD5Ofnc/rppxMY2DaaIzAwkNNPP53s7OwuiVYJ8AkwXDB2Fblfx9wSdhTsoEHdQFRAlMUXv64Q0jcd38SOgh0WO3Q+WfUJFeEVoIH3rn7P7Pb2COnScsyksCTkMrvrA7dgophgtJ/I/9xzbI/jztXdONULjkpCuqloF6UShg8Xj7s43uVAgRA6wnWdd+S6kv5R/QnwCaCmqYbM0s4HX4ZoF2e6MowUIm6NJKQXFRWZzcCcnGy+4KhOp6M5VBQZGp403IYG28atI2+l/KFyLh5g/UCxDV5Huhcno5QrDZNMUh66hBTT4ZJ8dGgR0vWOdJlMxrvvvsuSJUvaLKUN9Qs1FBz+4eAPrmmbleTVir69Nav9kmKTUFUKsXjJv62iIt244Oj9n98PSgioCDCbt28tjpjIcXW/f232WgDCmsMM+byegi3jCcmNnhiaiI/CxyntQqNp6Tvorw0pUeJ7VdrkelNdlyFFu3hwRnpGRgbZ2dn4+/tz9tln23SMxx57DBAJBnZpKA52pMtkMoMr/f1t7xs1r2zP2Q5KKA7Wf1c8QUiPtsORHuoER7rUTwgJAZ/OrznDEkWWdYWiwqgOs/vobvABmU5muFd0C6QxdHk5mNFUvVjHI488QmBgILNmzeL666/n66+/Zu3atXz99dfMmzePc845h5CQEB555BG7zqO0dcdhw4axatUqGhoa8PPr6PQrKyvjt99+Y9KkSXY10JHk5uby559/Eh8fz6BBIuPw8GG9KNHHuCjRp08fVq1axeHDh+nVy/gsfmNjY5uomOrqakAsf29uNl2B2BIGxwzmYMlBXlz4IvFz4xkwwEWOIwex9pjorI7tMRa1Wm3RPr2CxfucXZ5t9/tnCZ9lfMYtK28BIFoVTVxFHFeNvIpbz74Vf1/jy9ke/+1xCIO0ujSG9x5utp1pYcKxmFmSafXvdKREuByTQ5Md+n4oSkqQA5rQULStjlt2rAzC4fdNvzNnyByHna87Ie/VCwWgzcpCY+HfRPrbueIz7VSamlCeOIEMaE5IABO/j3zkSBTr1qHZvBntFXY6fu0gqywLfCHWL9at3/thscNYf3w9m/I20SfM+P2orrmOE9WiQ58c7NjrQWtkRUUoAV1EBGoj5wgLC0OlUtHU1ERubi5JplYmAKf3EJFeW05soaK2wmQtici+kVRXVjO291iX/p0CFYH2ny8pCR9Ad+SI0ferM7rNdcGL0+kX2Y/dRbvZU7SHmakzDc9Lwnp6RLpLPkfKkhJkgDo0FJ3+fNdee63h9dZtOLf3ufye9TvLDy7nntH3OL1t1lKiFVEU/WP6W/Xe9ZT1JJtstuRvMewnHzhQ9AsyMizuF3SGo64Nao2aP8r/gGC4OPli6qLq2Fe8j92Fu5mWPM2uYzeoGwxFLHuH9aasrIznnnuOtWvXsnbtWoNpyRw9AkXB5ryqPOob61HKbR6eWkRGSQZEQZpvmsdde1NChDidW5lLVV0V/j7mYzcOlQjR3dHjiDaUluKjrw/QHBoKzc0kBCVwoOQAuRW5Hvc+20xyMj4ApaU0FxbaVbDdGK7oM0i15GbMmIFKpbLpXKNHj2bstLFsStnElQuuZPULq61vSE0NPrWiWG1zZKTJ8UZ7imqKKKwpRIaMfuH9OrT/ovSLeMD/AXIqc/jhwA+c1/e8Nq/3Pr035IB/QhpwEE6epLmuzqwg3JX0DhWGjmMVxyy+LkgTbD2Cejj882RuHNGaUWmjYBNow7ScOHGiQ9zGnhN7oAdEyCLQaXQ0a7rJtcTXF2VUFLKSEpoPH26ZjLcBSzW2U4WUlBR++eUXLrvsMhYuXMiiRS0F1nU6HT179uTbb78lJcW+yGSbeyp33XUXF1xwARdddBEffPBBm9eysrK4/vrrqays5K677rKrgY6iubmZq6++msbGRl566SUUClF4QnLVh4aGGt0vJCSkzXbGeOGFF3j66ac7PL927Vq7q8H6lYtJin8y/+Gzzz5j8uTJdh3P1Sw/KgpHRNREsHLlSov2KaoSy7j2Ht9r8T628vX2r/lW/i3IQClTUtxUTHFAMQ/tf4iHtj9EXGUc4yLGccGgCwjxF5+Fbce2URgmZsgv63mZRW0srxLFDHbm7rT6d/qz4E8A5JVyh74fo/fvJx7YU1BATqvjqhqF02rHoR1Of/89lbjSUsYAlbt3s9bK98jUMiNPIaCwkGk6HRqVipXbthl1LAP0UCgYCVT9+afV7xFAxL599F6xgj033UR9TIzN7S2oKwBfEe3izp/niEaxMuT7jd8TmWd84HWs/hgAQYogNq/Z7LS2xG/YwGigTCZjnYn3LDw8nKKiIpYuXUr//qYLHOp0OqJ8oihpLmHB8gUMDR7aYZtGbSM5lWKVQ97OPFbudd+/kzGUNTWcgxg4rFq2DI2VeaLg+dcFL85HWSa67H9k/MHA8hb3+Y7jIr6q4nAFK/Od/9055+RJlMDfe/ZQJ2UimyCgKQAQq/6++uErwnzCnN4+a6jzFUWQre1fTUiZQHZpNoWKQsN+UfX1nA7Ub9rEnw6819h7bViyfQnqYDU0wNTYqfxaLoqB/r7zd/qX2Vec9lj9MbQ6LUGKILb/sx2tVsvHH39MVVUVr732msG0ZA6NToNSpkStVfPlj18SrYq2q13mONokBKSoxii37hcYQ6fTEaQIokZTw2c/fkayf7LZff4oFJ8hRbXCab9v0PHjnAU0BwSwUv+ZrSsS369lq5aZ7Nd0R6ZFRRFQUsLGRYso7+ecuDpn9hl0Oh1Dhgyhd+/edn1ewk8XK5T+bfqXRd8sIjrEuu91YEEBUwG1ry8r1661eL+dVaL2RbxvPP/8+Y/RbSYFTWJF/QqeWfUMiiOKNq9Jfe3AsCS0yiPI1Wr+/uor6qOde12yB51OR7AimGpNNZ/88AmpAeZrIezKEaunSrNLWVnm2OtC7LZtjAUqFQr+MfMZqlHXiAfB8OkXnzKkf1tBeW/BXugBIc0hHne9NseksDDCS0rY8f33FNqx8qHETF/sVGTChAlkZ2fzww8/sGXLFiorKwkLC2P06NGcf/75NsXQtcdmIX327Nk89NBDvPTSSyQlJRliUWJiYigtLUWn0/HEE08wZcoUuxtpL1qtluuuu461a9dy0003cfXVVzv0+I888gj33Xef4f8nTpxgwIABTJo0iWRT0QcWoshSsHjJYogTOZSzZs2ys7WuQ6fTccubwul9/dTrLc5I713am6c/eJpSTSlnn322fUXgOmHRn4tYolkCCjgr8iy+v/575v8wny+3f8kR5RF0/joK/QtZznKW711ObG0sT13yFH8cFp2XuIo4/vvofy06V/+K/jz97tMUNRcxY+YMQwVxS/h6xddQBGcMOYNZYx3391e8KjLeT5s4kYGtPlfJW5Ipogh1gNqjPm8upWdPeOEFwsrLLX6Pmpub+eOPP5g2bZohYsoTka1ZA4A8KYlZ55xjesP0dHjtNcJycpg1daooxGYpajXK++5Dlp1NzKRJaK+7zub2xhfFk1+Qz33X38esfu77ea7cV8lPP/xEiW+Jyc/U8oPLIRP6x/Z36ndTpi+sFJ6WZvI8ffv2paioiJ49e5ptywzNDL7c+yX1sfXMOrPjtrtP7ka3W0e4XziXn3+50675zkR3993ISkuZ0bu3Va6S7nJd8OJ8Gg828tX3X1HlW2X4zlU0VFCWIeIUrj/vekL9jJtCHEZDA8qGBgDOvOgi0Mc3Hjt2jIyMDOLj4xkzZkybXd4vf59tBdtoSGpg1lD3uQYXVhRChnh855V3EhdheXRAbEEsiz9bzLHmYy391NGj4cknCSwqYtbEiUbrS1iDo64N/7fh/yAAhuiGcNlFl6E6qOLr77+m0rfS7vvIt/u/hUwYFD+Ic/T9gQsvvJCFCxdSVFTEQw89ZPGxknKTyCrPInV4KhMTO6/BZQ8NTQ3UbxbFtK+ffj2zxrnPZ9JS+hf3Z2v+VuIHxlvUr/n+5++hECYNmsSs053z+8rWrwdAmZBg+Fy9tPUl8IHcitxTajyhGDIEVq9mfEQEOgf/3q7oM8yaNYtnn33W7uP8qPsRdgEqWFmwkiWXLTG7T2tkG0SRekWPHlZ9fvZv3A/ZMD51vMn9+pX344f3fiCjOoPeY3q3iZ99f8n7cBLOGXMesh4HISeHKenp6Ma6d2HiQaWD2HB8A1H9o5g10Pz7dedbdwIw+4zZDq8VIdNHu4SkpFj0t5u3Yx7Nqma04doO21cvFkkPI1NHdrvriOLzz+HIEUZGRqK143c74QHxQ12BSqVi7ty5zJ071ynHt2vt3AsvvMCUKVN4++232bx5Mw0NDWi1WmbOnMldd91ld4C7I9BqtVx//fV89dVXXHXVVbz//vttXpec6KYc51VVVW22M4avry++vi3FQKV9fHx87L7JjewpitARCbkFuRYd7+DBg2RkZDB37lyD874ryCrLoqi2CJVCxZjEMfgoLXsv0qJEDEptcy1V6iqiAqIc3rY/tv/Bzf/cDP4QWRHJjw/9SIBfAP+9/L/89/L/0tTcxAe/fsDCTQvZ3bQbdbCaorAibvv9NsMx3rn8HYv/vmmRaagUKho1jRTWF1qV8ZVTJZyavSN7O7bTVC5c8sqYmDbL1XqG9WRz3WZKm0q9wo4p9FFQstJSfBoarBowO+K60KXoC0zKUlI6/z3S0yEiAllZGT4HDsDIkZaf46uvIFssF1ds24bCjvdLcjqnx6S79fs+tpfooO8q2gVyjOaYHq0ULrq+kX2d+7vo74fy6GjkJs6Tnp5OUVGRRZ/ns1LP4su9X/Jv3r9Gt33xoxdBBhG6CIc4BLqE3r3F0vbcXOs+63o8/rrgxekMiRcTNAdLD6JQKpDL5BwuFPGEPUN6EhXs+L5SB06eFP8qFPhERRlWJH3//fc8/PDDXHvttUyYMKHNLnP6zWFbwTZ+OvwTt4y6xflttJCTzeJ3iQ2MpVesdQUYh/cYjq/Cl/KGcnKqc0TNivh4SEiA/Hx8Dh6E8ZaZR8xhz7UhtzKXE4EnQAevXPoKPj4+DI0fCrT9HNmKVPByYPRAQxsvuOACFi5cyI8//sibb75p8cRoSngKWeVZHK857tRr4eK/FoMvyBpkzBk3xyOvu+lR6WzN30p2ZbZF7T9WeQxwwjiiNfoxhSwqynCOxPBENtZsPPXGE/37w+rVKI8ccVociCf0GXYX72557Lfb+uuN3mUri4uz6nfdUyxqfA2PH25yv/SYdM7uczYrD6/k44yPmT9zPiBq/2zL2wbAsIRhyBISICcH5cmTbh3tAqJOxYbjGzhcftjs+9WsaSa/Rphm0qLSHP9Z0mth8qgok+OI1oTrwjnJSfYV7GvTloaGBmpUwrE+PNn039NjSRUrBxR5eXaNdS2NUfPiWOx+16dNm8a0afZl7DkLrVbLvHnzWLx4MZdffjkLFy5ELm97AZey0aWs9PaYy1B3NnFBcYTIQ6jSVnGgzHwBiSNHjjBo0CDUajXZ2dk8+uijLmilcdbnCXfCiPgR+Ck75uibwk/pR3xQPAU1BRyrOOZwIX3v0b3M+noWumAdARUB7H1iLwF+AW22Ufmo+L/z/4//O///0Gq1LF23lF+yfmFX4y52Fe3inD7ncOHoCy0+p0KuoHdEb/YX7+dQ6SGrhHQpw8yaYlgWYaLYaGpUKuRCpdZb+MIkISHifSsrEwVHLVy+3C2QCo12kosNCIFl1ChYtUoUHLVUXFSr4bnnWv6/bZsoYmXDpGBNUw0ldaIj7pRiOg6kd0RvQnxDqGqsYn/xfobEdXQ1Hy7T348inHw/kooEtbs2tOajjz6y+HBnJp8JiJz02qbaDjnpewr2QAJE477LZs2SlgabN8ORI13dEi/dlLQIMSFf11xHTkUOKeEpDin0aBXS8uHIyDaxXgkJCYBxV9ScfnN4/O/H+TP7T2qaaghSBbmkqeY4Uia+q70jelu9r0qhIlYXSy65vLH0Dd655R3xwpAhkJ8Pu3c7TEi3h4+2f4RWp2Vy8mSmDRNjtdafo2MVx0gNNx8BYIr9JR0/f9OmTSMgIIDc3FwyMjIYNmyYRcdKDk0GnF9wtMCvAIDRMaNR+XjmxG3fCOsKjkrjCHv+1maRrg1RLWO21OhUqIEqqpx3XnckPV38m9l58Xh35PPPP+ess84yXNNtRa1Vs/fkXkBcL7PKs1h1ZBVn97GieKmDC422545Rd7Dy8Eo+y/iMZ6c8S6AqkO9/+56SJvFZPi3mNOgh6jd4VMHREvN60YnqE2h1WlQKFTGBtsdnmkQaR1hYI2BkykhW5q8kaXjbsZpGoyF2QCxF2iJDUdJuhZTRfexYlzbD01m8eDEgJvKDg4MN/7eEa665xubz2m5DcHNai+iXXnopn3/+uVF3dp8+fUhISGD9+vXU6gtaSNTW1rJ+/XpSUlJMFhp1Bb2DRCc/pzHH/La9exOmX2r7/PPPU1BQ4Mymdcr6XCGkn97rdKv3lYRmR3eoC8sKGfPmGNTBapTVSjbftdnscl65XM4lky5h0bxFZNyaQfGDxSy/dLnV55aWjVna8QVRXLCoVmTGp4Q7UEjX6Uze5PrGi3bW+9Q77nzdESm26ejRLm2Gy7FUSAchpANs2WL58ZcsgcOHxecyKAhqa2HfPuvbCfy14y8AVBqV8yMP7EQukzMyQUw2bM3fanQbg5Ae6SIh3UFFspLDkkkMTUStVRsmWFtT0CzuUwNiPauYdht668W4rKyubYeXbotSriQ9Ugg0+4rFNVEqNDoweqDJ/RyKiWuDJLrk62OhWjMgegCxgbE0ahrJLHEfYSmrXHxX0yLSbNo/ok5MNK47uq7lycGDxb+7dtnVNkdQ31jPxzs+BuC2kS2rKZVyJf2iRG6z9PmxlQPFQrCRBBwAf39/w4rkFStWWHwsZ/X72/PXMdEvuGaC7YPnrsaa8USjupHjVWIlocMNOa2RhPRWOdL9EsTn7JQbT0hC+sGDXdsOKzl48CDXXHMNqamp1NTU2HWsQ6WHaFA3EKQKMlx/3tz8pnUHKRLjX9oVn+yM+uZ6MkvFfcaYIaU1M3vPJDU8lcrGSr7a8xUAG7M3AhCsDibEN0SsMgLPENKj9EJ6sXkhPadCjOUSQxPtWpVkEhNmPVOMSx8HtBQAl/Dz96NcJla7tI7f6TacqlqCg7nuuuuYN2+eQfeU/t/Zj7SNPdj8zUlLS+Omm27iyy+/dLtcHinOZfHixcydO5cvvvjCZMSJTCbjxhtvpKamhmeeeabNa8888ww1NTXcdNNNrmi2SaQbQbGiuMNre/fu5dxzz20zeMnLy2Ps2LHU1tby2GOPuayd7dlwXGSbnZ7oHkJ6XUMdg54ZRF1YHbJ6GSsvX8lpKadZfZyogCijsQvmsNZBAi2/f6hvKOF+4Vaf0yR1ddDUJB63u8mdliTeE42/BrXGWwXaJKfqLLL0+1pS/0ES0rcaF4Y7oNGAdB2+//6W/TfbVlhz2xGxPFNR3XURV9YwMl4I6dvytxl9/XCpixzpVnaAzSGTyQyu9DXH1rR5TaPRUK0S+YejUx2b0ehS0vRinNeR7sWJSM5fyYluzBHsVIy4TqFzIV0mkxn6dLmVuU5tnjUs/lk4lmrzas1saZzxScJxntXQavJMqo+we7eRPVzLo58/SmFtIcGyYOb0m9PmtdNiRD9PcozaglqrNvRn23/+5swR53M3Ib2+uZ4NeWJsMjV1qtPO42ysEdJzK3PRoSPAJ8A5zlOJYv0YtdW1YXCKmFjS+mtpaGpw3rndDanAaFYWNDd3bVusYNmyZQBMmTKFoCD7Vg7tKhSTiYNjB3PnqDuRIeO3rN/4betvlh/EBkf63pN70eq0RAdEEx8U3+m2cpncIPK/s/UddDode4vFNTHRN1FsJDnSjdzb3A1pQvNQ6SHU2s7H79K9ODE00TmNsdKQI41rJMOQRF5VHk2aJlQKlfPa2pVIY+ljx4TJ0YtNfPrpp3z66afEx8e3+X9nP5999hmffvqpXee1OdpFo9HwySefGBqQlpbG5MmTmTx5MmeeeSZxVi7DcST/+9//WLRoEUFBQfTt29dowYw5c+YwdOhQAP7zn//www8/8NJLL7Fz506GDx/Ojh07+P333xk1ahT33HOPa3+BdoxPGc9nhz6jMayRuro6AgICqKys5KmnnuKtt95Co9Hw6KOPsnDhQgD8/PyYP38+48aNY+HChdxxxx2MGDHCpW2uaKgwOF2MFhltboa8PJGDnJ0t3HytCtNKrglHdah1Oh23/3Y7JWEl0AwfTf6IaSNcG0lkiyM9u1zkRKeEpzi2AJ8klPn4QGDbmAWp44sCTlafJCHMvuV93ZZTdRbZFkf6gQNQUyMc5p3x3XdiKWx4ONxxh8jY+/tvIaTbMKF5oEC4MsJlDpyEciKdOdJrmmooqBEz7bZEEViFBR3gI0eOcOmll6LVatm5c6fZQ56ZdCaLdy3uIKTn5eWhixCdx9P7WT/p6jZIQrrXke7FiUjOc3d1pFdUVBj6qa1JDE1k84nNhpoV7kBhYyEEQKyP5W7H1lw09iLe/eFdaoNrqaqtIiQwpMWRvns3aLUg77qFvwv3LoRwGKIZ0sH80f5zZAtZZVk0a5sJ9AmkV0jbVbvnnHMOPXv2ZOzYsTQ3N1uUa+sKIf2DXz+gUdNIpE+k8yeknYi0Kq24rpjy+nLC/U33cY5WtMRDOrWQt5FJtgGJA0ALyGHvsb2M7Gt9/RCPpEcPCAgQpqWsrBZh3c1ZunQpABdddJHdx5LiVYbEDqF3ZG+iK6I5GXaSh5c9zMxRMy07iA1CeutYF0s+79cPu54n/n6CXUW72JC3gdwGITCfFqU32nlQtEtiaCIBPgHUNdeRXZ7dqYNbuhc7LfbSgojI1kjjml15u6ipqTFM5KzatgoQ0V8KuWeYoqxC0hKqqkSdCQcZmE41rrvuuk7/7yxs7uEdO3aM7OxsPv74Y6644grq6+v56KOPuOKKK+jRowf9+/fn9ttv59tvv3Vkey1uG0BNTQ3PPfccTz/9dIefjIwMw/aBgYH8888/3HPPPRw4cIDXXnuNgwcPcv/997N69Wr8/f1d/ju0ZnyqEKIDUgJQ+ij54osvSE9P54033kCj0XDRRRfxv//9r80+Y8eO5corr0Sn03Hvvfeic/Es18a8jYTW65hd05OYX9bAiy/CzTfD1KmisIK/vxAepk2DW26BGTPa3KQc3aF+8u8nWbRrEQqZgo9mfMQNM25wyHGtQbqhtZ9t7Qyn5aO3Hgy362gE+LW4Vk42nHTsebsTp6IjXaMRE2BgmZAeHy86oVot7NjR+bZabYsb/d57RQ79mDHi/9ZEw7RC+v7E+3XuSnEXRvUQEw97ivbQoG7r3pLyfCP9IzsdNDsECxzpQUFB7Nixg927d6NWm1+5MjllMiAmCWqaWpYMb9q3CXwBLfSN8uBlm1K0S24uNDZ2bVu8dFtaO9IrGyo5US36Ta2jNZyK1Hdo50gPCQkxiOfGIgUlJ5k7OdJrfPQFzFKG27T/mYPPRFYvAyV8v/578WR6OqhUYuK4CyfZf9n8CxXhFaCFVy97tcPrjhDSpVUR/aP7dxCsIiMjyc3N5YMPPrC4OJzU78+ryjPrprSVb7Z8A0BYWZhzRWUnE6QKIiFYTF6ZG1O0NuQ4FcmR3iraReWjQlEvxK+9ObavfvA45PKW1Snbt3dtWywkKyuLjIwMFAoFs2fPtvt4u4qEI13KKb9n3D3iefku8kstdHdLQroV0S6W5qNLRPhHcPlplwPClV7uK2JExqaOFRt4ULSLXCY3xL+Zi3dxuiNdGkdY6EiXNJJaatmxv2W8+N637wGgqvbMehZm8fdv+XyfSnqCk7n++uuZP3++089jl1UiOTmZefPm8fnnn5OXl8ehQ4f48MMPueyyyygpKeGDDz7giiuucFRbLWbhwoXodLpOf9rPVISGhjJ//nxyc3NpamoiJyeHV199leDgYJe3vz3pUen4K/2pU9cx/tzxXH311RQVFdG3b19WrVrF0qVLSUzseCF84YUX8Pf3Z9OmTezd68IOjE5Hwq0PUv4SrHj1OFx6KTzyCHz0EaxeLQYXGg34+orK5hERosDgX38ZDuFIIf3uz+/m2X/FqoT3z32fGyfeaPcxbUFykByrOEaj2jKhpbWTxKGYEcqkDnp+tfsvZesyJCH9VHKkFxSI76pS2dK5NMdofVyHOTF82TLYvx9CQ+Guu8RzkpC+b58QJqxtboMQdJLDk63etytICk0i0j+SZm0ze4r2tHnNEOvi7Hx0sMiRHhMTg1KpRKvVWlSLIzksmaTQJNRatWFpPcDGIyKPMrApEJXCgzvKMTFidY9O5+0Me3EaA2OEALq/eL9BBO0R3IMwvzDXNKB1sdFWyGSyTuNdJNebuzjSy6rK0ARpAJgwYIJNx5DL5UQ1igmFX3b9Ip5UKmGgfnVAF8a7PL7icQDiquIY039Mh9elz9GB4gNotBqbzmGu0K21QnV8cDw+ch/UWjUnqpwjWu2pFfdVT451kTBEIZR2LqQ7zZDTHhOxT8kRyQDIQj134sImrI027GKkWJfJkycT1e5vaAuSkD4kVkwoPHjRg6iqVOALd396t2UHkTLSrXCktz+vJdwx6g4Alu5fijZKC8C0QfpV6x4U7QKWFxx1N0d6sG8wPo1i0nXDwZYxQn69eN+dvhK3K2kd7+LFIXz11VecPOl8M6jD1hzW1tZy5MgRDh8+TGZmJuXl5eh0ug7LO71Yj0KuMOQZbj+xnYCAAJ5//nl2797N9OnTTe7Xq1cvFi5cyP79+xk0aJCrmgvffsuQv8QAry4yBMaPh6uugiefhIULYe1aMbNbVyeEMymyYfVqwyFaC+n2uOkfXfwobx4RxU0eG/8YNw7vGhEdIDYwlmBVMFqd1uAQMYdBSHe0k8SMkB6hFM/vPGI+suGUpXW0y6mSaybd5Hv1AhN1JzpgyWBCqwVpVc099wgxHYSjvVcv8fo247nhnVGuE86SAfGeUcRSJpMZXOnt410MhUadvRxdp7PISSKXy+mhH2AcP37cokNLOel/H/3b8FyJTgy+45RdFwfnEGSyFle6Nyfdi5NIC0/DR+5DXXMdvx7+FXBhPjqYdKSDKHD/7bff0s9IjIG7OdLX7dcXCG2EPj1sv6YODBOC9PbCVq5TyYnaRQVHiyuKySADgDvG3GF0m5SwFPyV/jRqGg1FV61FEmqkAnfG0Gg0bNiwgfLycrPHk8vkJIUJUccZ8S5Z+VnUhdYBcPO0mx1+fFdjaVykNI5IDU91boOMFBuFlrjIGuwrXulxjNTH2NjQd+0Kvv3+W5DBxRdfbPeximqKKKwpRIbMoF8oFUpmxwun+4+FP5qvwaXTWR3totVpOzjhLWFEwgjG9BhDs7YZlCBrltEvVn8fk0xDNTUifsPNMRQcNSOku5sjHSBcK1bbZuRlACKWt1wu7h1Delg+MeJxnIrGPCeTlpZmkcnLXmwW0hsaGli9ejWPP/4448ePJyIiglmzZvH2228THh7O//73P9avX0+Z9EXyYheDY0VHZNiMYRw4cIBHHnkEX19fs/tdcskl9O7twlm8hgbK7hAd1CfPhF0bfoP16+Hzz+Hpp+Haa2HiRHFjkrIjzzpL/Lt6tUGQlC7stc21lNaX2tSUD3/9kBcOvQBy6FvTl/+d9T/zOzkRmUxmdU665CRxeAfYjJCenylmgP/c8qdjz9udSEsTGYhVVWBBRnS3wJp8dAlLhPQVK2DvXhHncnc7p4rkSreh4GiDr4hHGZYyzOp9uwpTBUelaBenC+k1NS3Fscw4SXr27AlYL6SvyVljeC4yXXSyL5x0oXXtdEe8OelenIyPwof0KLF0+7v93wEuzEcHk450gLlz5zJ37lyi2wlpgEEgdRchfethcT/yr/dHbkeO+dR+wtlcGlLaYvponZPeBfxn8X/AD5TVSh6e+7DRbRRyhcG5KOXsW4s5RzrAzJkzOf300/nhhx8sOqYzc9Lf/+19kIGqUsXwPrbF+bgThvFEWefjCUO0i7Md6UaKjYJYMQMYYqhOGaS+744dYiWnG7M3Zy/bJ22Hy1sKBduDJGb3jexLoKqlDtcb896ARmgKaeLlpS93fpCKCmhqEo8tjHbJLs+mpqkGX4Wv4T5pKZIrHSA5oFUed1CQGJuAR8S7GIT0TqJddDodORV6R3qYExzpTU1QXS0eWyGk9/AX1wpplU15eTnqEPHdGd17tGPb6E54HekO5/rrr+eXX37hhJO/szb3HsPDw5k+fTqvvfYaKpWKRx99lDVr1lBeXs4ff/zBo48+yrhx41Aqba5n6qUVUkc1dUyq0RgXS9i+fTuF0uyuk9j5f9cRUVrF8WBYPWoo4/qOM7/T6aeLTMnjxw1OPl+lryFexJYO9fHi49z6z63gAzEVMex6bpddgyVHYY2QrtPpnNcBNhPdEBcoZv8La537efFofH3h7LPF4++/79q2uApJSJdu+pYguXKOHm0RYVrT2o1+112i0GhrbBTST1aeROcvhI0x/ToubXdXpIKj7YV0gyPd2dEu0rXBz09MFHWCrUL61hMtOemZpZkAhlxHj8brSPfiAqT+oPTdcRdHemdI5oiTtSepb653dKusZs8JEfERIbOvsNc9c+7BX+lPFVXsLtIL513sSP/2qKhNNS18GkqF6TGYPTnpWp2WgyUHgc4d6RMmiNicFStWWHTc5NBkwDlC+q+ZYgVHP5VnFH40h1s50uvrobZWPG53bQhGRKRuO+QZzmyH0bcvBAeL92b//q5uTaf8nPczBIKsrwy/UD+7j2coNBrX1kWcEJnAEJ14bsGmBZ0fRIp1CQ0V/VErzjsodhBKuXX609yBc4kKEJ/ds047q+2LHhTvIk2QHiw5aHJFf2l9KfVqcR/uGdLT8Y2QViDJZC0rjC1AMgodbxBjisNZh0E/JByU4MJkBVfjFdIdzkUXXcSYMWMYP34877zzDlu2bCEnJ4fc3NwOP/Zgs7LY2NiITqdjzJgxzJo1i3POOYeJEyeiUnlwxqkbIw2UzC3VMcWLL77IqFGjePzxxx3ZrDbs3fIXaYuXAPD8+CBWP7vRsh0DAmCcXnA3Eu8iubKtYf6P89H561BWK9nz5B78VPZ3DByBNUJ6WX0Z1U1iRld6LxyGGUd6r9BeYrNm74qSTrlQ76Jdvrxr2+EqpJu8NY70sDAxoADjrvSffhKCQ1CQKDLaHilj3UohvbBBTAJF+keSEGlhnrsbIEW77CveR21TreF5Q0a6sx3pFhQalbBWSE8OSyY5LBmNTsP63PUABjGmX1Q3EDe8jnQvLqC9A13Ku3YJnTjS8/PzWb58Ob///nuH18L9wgn0Ec7EvKo8pzbREqRCo2lhaXYdJ9A3kGlpIkv3x8wfxZOSIz07u8WV5yK2nthKXVgdcp2c165+rdNtpc/R3pPW11DKqcihXl2Pr8K30+hByd36+++/U1dXZ/a4Bkd65TGr22SOQ2rR7z53wLkOP3ZX0Ho8YUowq2yopKxe3NOdWmxUui4olR2Es7Jj4vzbMk8xIV0uhxEjxGM3j3f5cs+XAOjQsfmE9as/22OIV4kd2uG1ly8WTvTisGKyyjrpK1kZ6wKwq9D0ec3hp/Tj0QmPAjCn35y2L0pCugc40ntH9EYhU1DdVG1yFYjkRo8LisNP6QR9RJpwDw+3PAYUGNJLTLJUyCoA2HJoCyhArpHTI6SHo1vpPnijXRxOamoqv/76K3l5edx1112MGzeO1NRUUlJS2vykpto3wWyzkL58+XLuuusuysvLeeSRRxgzZgwRERHMnj2bBQsWsGfPHvMH8WIxkpB+qPQQzZpmq/efNGkSOp2OTz/9lJ1OiKEoqypj040zCGmCbbEyHl4oxOuCggKWLl1q/gBTpoh/HVRw9KeDPwEwWDWYmPAYq/d3FpYuxYQWF0lcUBz+Pv6ObYgZsSw1WlxYqnHtINDjOOcc8PERbpPMzK5ujfOxJdoFTMe76HQi8gng//7P+OdxxAjREcvPF6tWLES6bjh8EsrJJAQnEB8Uj1anNbhrqhqrKKoV7hyXOdItWI6ZlpZG3759CbXCcWLIST/2N/sP7zdEPUjXRo/G60j34gLaC+ld4kg3cn34559/uPDCC3n++ec7vCaTyQxLyKVBfFfiEyeKml197tV2H+v8vucDsCRDGEmIimrJ1XXxWOi9be8BcPngy+mfaNopDhiyi21xpEuxLn0j+3bq/Bw8eDDJycnU19cbnWBpj7OiXQ7kH6A5pBm0cMvMWxx67K4iNTwVuUxOTVMNhTXGV49K44iogCiCVEHOa0zrQqPtisz2iRN9llp5bfu9uj8eUHB0Z/7ONpNprYvB24okaLd3pANMHzGdmb1nokPHO1vfMX0QG4T0jKIMk+c1h1qthk3wz/R/OLv32W1flK7nHiCkqxQqQ2FOU/EuTs9Ht7LQqMT49PEANAU30dDQwM4coVcFq4ORy7o+VcBptHaknyo115zMNddcwzXXXMO1115reGzs5+qr7esD2vypnD17Nm+88Qa7du3i5MmTLFmyhCuuuIKsrCzuvfdehg4dSkxMDJdeeqldDfQi6BXSi0CfQNRatU2FgcaPH89ll12GTqfj3nvvtauAZ3u0Wi2X/t9A5u0VOVay518nMS6ZY8eOkZSUxBVXXGE+8F/KSf/rLxH1gO1LPLVaLVky8R5dOty9Pn/WONIlJ75Tcg3NiGX9e4oBWKOq0fHn7k6EhrZ8dk8FV7qjhfRffhH58oGBcN99xvcNDITTxIDfGle6dN1wqgvLSbSPd5Hy0WMCYwjxDXHuya1wpN92221kZmby5JNPWnz4M5POBGDNsTX8s/cfABSNCqIDO+YqexySI/3oUdBourYtXrotrYXzhOAEwvzCXHPipqaWYmtGol0S9GJDvonl7+5UcFRyQqaF2+dIB5jcczIA+yr2tRRo74J4l/L6cr7Z+w0At428zez20kqGzJJMqw060upYc5M4MpmM2bNFgUFLctKdJaRvPin6DiPjR5IY4yTxyMWoFCrD+MDUmMJpdZbaY6LQKMCAXuIz0uTX5Nw2uCMeUHD0tnfFtcJHJiYX7RXSG9QNhpWGQ2KNC9p3jb4LgE93fmqI+euAJKRbmI8OLdEu1hQaldi5cyf33Xcfc86Z0/FFD4p2gZZ4F1MpBjmV+nz0UCfko4NNhUYBRqXpx4r+UNVcRVS66GcMiHWhWaArkMbUtbUt+owXu1i4cCGfffaZRT/24JDpncjISC6++GLeeecdfv/9d1555RWioqIoKSmxzI3sxSwymcxwYZScINby4osv4ufnxz///GNxXqEl/OeX/3D/+kIUOjg8bjAjrr8HgOTkZEaPHk1zczPvvNPJrDMIoS0wUFxA9A4eSQCzdonnuqx1aAO1yJpl3Hr2rdb+Ok5FimUorCmkurFzt7dTcw3NiGWnJQnhUuuvpa7B/HLcU5oLLhD/dvecdJ3Otox0aCukS5N4Ol1LNvodd3SeuWtDTvoXv3wBQHWe562qGJUg3q+t+WLiQYp1kVwmTsUKR7otSI70bfnbWJe9DoCQZidPDriKnj1FvY/mZsjr+vgKL92T3hG98ZEL0cOlhUalfoNMJiK72tFaSDdm1pAG7V0tpKs1aoNQmxZhv5CeGpNKYIWIrZn/83zxZBcUHL353ZupV9fTO7g343uNN7t9YmgigT6BNGubDZO1lmJJoVEJKd7lp59+Eq7PTpCE9LzKPNRaxxVo/DP7TwBm9J3hsGO6A9IKNamGSnu6utAowLA0fbF3X8gv9Qwh0mFIfd9du6DR/YxJao2abY1C5D8/Uqys2XR8Exqt7UaAfSf3odFpiAqIMtQ6a8+M3jNIDk6msrGSOz64w+g2hox0Cx3pJXUlHK8Sq1YHxw62ut3//vsvAKeffnrHmmoeFO0CLXUrpAmN9rirIz1QFWgoTpxdmU29v8hxnzhgokOb53b4+rasevDGu9hNTk4Oy5Yt4/vvv7c7A90cdgvpxcXFfPvtt9x2223069ePXr168Z///Ifi4mLi4+O5/PLLHdFOL1hWibkzkpKSeOCBBwB44IEHaHTATf27fd+xd8lrzMwCtUJOn8/bion36V2m7733Xuf5iCoVTJokHutz0m11pqwrFOLMeQPPIyTQvQSaUL9QYgJF1Iypjq+EUzvAZoT09F7poAFksOeoN6apU2bPFsLC1q3dWzw7eRIaGsTv2tPK4jTDhol4lqKilniW334T71lAANx/f+f72yCkH68W5wnVWR474i60d6QbCo06Ox8dbHaSWEpSWBIpYSlodBr+qhBRXj1U3ST7UKFoyTr05qR7cRI+Ch/D6jaXxrpIrtOICKO5p5KQXltbS7WRbHBp0C654bqKTQc20axtRqaRkRDkmPoZ4yJEnZ/fc/TxJS52pGu1Wn7MFxntI3UjkbWL1zCGXCY3uNKtzUmXnI6dFRqVmDBhAhEREZSWlrJhQ+du1/jgeFQKFRqdhhNVjhGttFotq7PFuGJq6lSHHNNd6BvR+SpXlxQahbbRLu2Ii4gD/XBzV7bt34ffjvzGxM8mGsZGHkFysuhLNTe7dFLNUt5f+T6aIA00wntXvUeQKojqpmqb4p4kDIVGY4eYvA7JZXKGqcUEy5KjS9DqV6K3wcpoFylOJi08zaaVm+vWCe1AKpDcBg+KdoFWepGHOdKh1eRg6eGWsY+zIy3dgS4qOPrOO++QnJyMn58fY8aMYcuWLZ1u/91339GvXz/8/PwYNGgQK1eubPO6TqfjySefJD4+Hn9/f6ZOncrhw231rueee47x48cTEBBAmBFTxq5du7j88svp1asX/v7+9O/fnwULzBQn1nP33XeTlpbGJZdcwty5c0lNTTVokc7AZiH9rrvuYtCgQcTFxXH55ZfzwQcfUFFRwdy5c3n33Xc5ePAgJ06c4IsvvnBke09ppAHT/hLbq38/9NBDxMfHk52dzZtvvmlXezbnbub6Zdfwmn7coLzn3pal7Xpmz55NSkoKZWVlfP75550fsF1Oemsh3ZoompWHxZf67D5nm9mya7A03kXqADslmsKMkK5UKAlXilLZ1TLPc/S6lNhYOP108diBKz3cDsmNnpAgJr6swd8fBukrrm/Z0jYb/bbbIMZMHQNJSN+2Dcw42iQqqABgQLznLQmUhPTM0kyqGqtcK6Rb4SSRCo7HxsaajHMwhuRKL1SKgZJLfi9XIeWke4V0L05kbM+xAIzpMcZ1JzWzWiUwMNBQL8HY9cBdol02HBRirk+ND0qF6Xxva7jlTJG7XRRYREllSYsjfc8eQ1yhM5m/Yj5NIU3QBK9d13mR0dZIKxqsEc50Op1VjnSlUsm7777Lhg0bjItUrZDL5AZxx1HxLj9u+pHC2kIUWgVje4x1yDHdBXPjCZc70o1EuwCoGkSfcV+u7QLtqxteZV3uOj7d+anNx3A5Mplbx7u8+++7APRu6k10aLThvmJPvItUaNRUrIvEgnkLoAkaQxt5bbmRa5a1QrpU4NSGWBedTmcQ0idONOJ+9tRol67OSLdBSI+Sicm45WuXk5GbATgmgs3tkUw4LhTSlyxZwn333cd///tfduzYwZAhQ5gxYwYnT540uv2GDRu4/PLLueGGG9i5cydz5sxhzpw57N3bMhH/8ssv8+abb/L++++zefNmAgMDmTFjBg0NDYZtmpqamDt3LrfdZjyCbvv27cTExPDFF1+wb98+HnvsMR555BHefvvtTn+fRYsW8dZbb+Hr68uMGTOYMWMGvr6+LFiwwGl6tM1C+ttvv01hYSEXXHABb775Jnv37qWwsJBvvvmGW265hb59u0HhMDfDIKTbGO0CEBQUxPPPP09UVBTRJjo8lrDj8A5Of+d0rtzSwMBi0EVGwuOPd9hOoVBw9913AzB//nzjs84SUtb0P/9AczO9QnohQ0Zdcx0ldSUWtSu3OJeNeRsBOhYLcRPMOUgknJaRrtNZdJNL75EOQJWuyrHn745ceKH4tzvHu0g3d2tjXSRax7v88Ydwl/v5gX6VTKf06wfBwVBXB/ssG4jV+4klgcNSh9nW3i4kOjDaICZsz99uWHbvEleGFR1gmUxGfn4+J0+e5LgVhWAlIV1iWC/P+xuZRJpM9hYc9eJEXpv+Gn9c/QeXDLzEdSeVrg2dxHB1lpMuXdO62pG+K08ILmG6MIcd88LTL0RRrQAfWPDjAkhPF8u1a2pcslR7/joRKTNAPYCESMtd9rYI6fnV+VQ1VqGQKSy+J1166aWMGzeuY2SCERydk7543WIAwirD8PPxc8gx3QVzQrpTDTmt6cSRDhCoFdFHh4s6X4lrCp1OZxBKpX89BjctOFpTX8NBuYj+uGnsTQCM7ykioewR0i3NKe8V3YtBGmGweX3d6x03kKJdLMxIb+2Et5bMzEyKi4vx8/NjpDTx0RpJSC8o8Ij6N/2i+gFQVFtEeX15h9elgt9SAXCHY0WtpQ7ouxl/7vqTokbxGegT3o3MNqaQxtZ29heqq6upqqoy/HSWPvH6669z0003MW/ePAYMGMD7779PQEAAn35qfLJywYIFzJw5kwcffJD+/fvzzDPPMHz4cIPArdPpeOONN3j88ceZPXs2gwcPZvHixeTn57eJlH766ae59957GSQZ7Npx/fXXs2DBAs444wxSU1O56qqrmDdvHt+b0Vg++eQT/P392bJlCytXrmTlypVs2bIFPz8/Pv74YzPvnG3YLKRnZGRQXFzM0qVLueOOOxgwwPNcf55G68wre/LLrrnmGo4cOcJ1111n0/4llSVMfHcigXIN/xPmcWRPPWU0MxPEFyIkJITMzEx+/fVX0wceMkRcdGtqYNs2fJW+hnw1SzvUr614DS1aguqCnHeDsBNLHOkarcYw2HR4B7iuThQNg05vctJ7n1/tGTPwXYqUk752bcuAortha6FRidaDCcmNfuutlrlNFIqW/S2Id8kpygH9eHlsumc60FrHu0gZ6S6NdrGwA9xTH/NjjZB+RtIZbf4/oX/nLkWPwutI9+ICQv1CmZo6FYW8Y8SK05DubZ1MsnUmpEvut7zKPLQ657u0TXG4RFxP4/3iHXZMuVzOAKUYB3235ztQKmGgPr/eiZEOVY1V/LDzB04EiciBp8992qr9bYl2keICekf0RqWwcnWaBThaSN9QIETB0dGjHXI8d0IaTxwpO9JhXKjVaQ3vYVcWGwUY3mc4AOGJ4TYdvrCm0GCokiI8PAY3FdJfWvoSOn8d8lo598y+B8BQW8FWIV2n07G7SFzvhsSZF7RfvPBFAApDC1m7e23bF610pNtTaFTKRx8zZgwqYytuY2NBLhciugm3rjsRpAqiV0gvoGO8S31zPcV1YgWJOzrSB/cUq7mqo6pBDrJmGT1Cu0n8Y2c4KNplwIABhIaGGn5eeOEFo9s1NTWxfft2pk5tiTuTy+VMnTqVjRs3Gt1n48aNbbYHmDFjhmH7o0ePUlhY2Gab0NBQxowZY/KYllJZWUmEmXHp3r17ufDCCxko9b2AgQMHcsEFF7DbSf0wm4X0wdKyRS8uIyU8BV+FLw3qBrscPXK53LD81lq0Wi3Dnx5OXVgdj/4NMfUIt+gtt5jcJzg4mJtuugl/f3+OdjbTJpfD5MnisY056T9n/gxAf6X53MauwhIhPb86nyZNE0q5kp4hVuZRm0MSynx8RIFXE4TJwwDYfni7Y8/fHUlOFjngWi38+GNXt8Y52Cukj9YPYtesgQ0bhFvvwQct31+KdzGT3waw6eAmAGR1MmLCzcTGuCmSkP7n0T8NnV53LDZqi5CeFJZEUoj+c6SF8f3MF8bzGLyOdC/dFQsc6Q8++CDffvstZ555ZofXeoT0QC6T06xtpqimyEmNNM+JeiE6O/p6esWIKwA4zGHUGnVLvIsdOelanZb86nz+zfmXhRkLeeKvJ7hi2RWM/Xgs0a9EE/piKHN+nAMKCC4P5uKJF1t1/NNiRGH5w6WHaVRbVjfJmliX1mzfvp1bb72Vt956q9PtDP3+ymNWHd8YDU0NFPmLz9qV4660+3juRq/QXvgqfGnWNncYFxbWFNKgbkAukxtENafRSbFRgNH9RP+vVl5r0+Fbu9DzqvIoqy+z6ThdguRw3r8fam37/Z3Bop2LABiiGILKR4jHY3uORYaMrPIsm67ROZU5VDZWolKoDK7ozpg1ehaRFZEgg/uXtKqV1FqwtkBIb1Q3GgRjW4T09evXAyZiXUBMjErOeA+Pd5FiXYJUQYT72TaxZRYbi40CjOsr6o3gL/4JagyyqOaHxyNFu9jpSN+/fz+VlZWGn0ceecTodiUlJWg0GmLbrfiIjY2lUJrEakdhYWGn20v/WnNMS9iwYQNLlizh5ptv7nS7yspKUlM7ThqnpqZSVeWcdAW7i40eO3aM5557jrlz5zJjxgzmzp3L888/zzEXh+WfCijlSoMIa2vB0dbodDoWf7OYabdMY9Efi/gr4y+OFhwVAwATnPXMWeSF5pFcAvdv1zuhXn1ViLKd8PDDD5OXl8edd97ZeaOkeBcjOenmUGvUHFWIC9BlIy8zu31X0VpIN5X9Li3HTAxNRCl3TIangdZCWSc3p/xM0VlYu3OtyW28tEKKd1m+vGvb4SwkId3WaJeBA0VWuhTvdNNNLQV8LMGKgqMZxzIACGgKsLKR7sOoBOFikoqkxQXFEewb7PwTu8CRDnBWqrjWp0en4+vja9W+bo0kpGdliRgtL166CxY40qVxQE8jBamVciU9goWzrCvjXcp04hp3Wo/THHrcO8+9E5VOhTZQy/aC7S0FR21wQh0sOciYT8dw2e7LSH4rmUkLJzHvh3k8+++zfL33azaf2NwSeVgLihMKXpn2itXn6RHcgxDfEDQ6jdm4QQlp/GFJodHW7N69mw8++IDPPvus0+0c6UhfvHox+IKsXsalZ1xq9/HcDblMbojXaf/3k+Ihe4X0wkfR+RjNbsxEu0jf+xPVthVrbO9Cl1zPHkFCgvjRamHnzq5uDQDVjdUUhQmh/J6p9xieD/ULNUyubTxuvYNUcoUPiB5g8WqV20fcDsB27XZOluvF89LSlggVC2Jo9xfvR61VE+EfYZP57L333uOff/7h2muvNb2RFO/i4QVHW+ejO02gtqPY6Lh+46BV1zlaYXsMsUfR2pFux9ghODiYkJAQw4+vr2ePr/bu3cvs2bP573//y/Tp0zvdVqfToVB0XKWpUCisqrVoDXYJ6QsWLCA9PZ0nn3ySZcuW8ccff7Bs2TIef/xx0tPTLa6w6sVyHJGTLpGfn8+8n+fxZ8KfXLfhOs764SxSP0zF5xkf5I/ICX0ilNEfjWbmFzO5YtkV9H6wN2tYA8A365NRqjUwdSrMmmX2XFFRUURackGVCo5u2AD19YYOtSQsd8ZXf3+FLkAHTXDzzM5nrbqStIg0ZMiobKw0OE3b47R8dLBYKEsKF47RCnWFXafT6rQWZ9x7NFK8y++/Q3U3LNAqTY4acaSX1pWa31+pFK59EMVKH3qo082bNc2GQllAi5C+b5/Z9/dks+iMx/h4phsdYHi8WAqt0YnBhMsKclrpSO/VSzjdrBXSZ/ebDcDpvU63aj+3JzlZrK6qrW3J+PTipTtggSPdHF1dcFSr1dIQIIpejenj2EKtQf5BnD/wfAB+PvSzXY70/675LzsLd9Kka0IhU5ASlsLU1KncMuIWXp76MssuWcbOW3ZS8VAFTwU+xb7793HLOaZXhppCJpNZnZO+v8Q2R/q5556LXC5n586d5OSYnkgx9PvL7c+WX7J1CQAJTQkOKyzrbkh9AykCTkIaNzk91gXMRruEysUq6D3H9th0+Pa56B4X7+JmBUdXHFxBk66JPhF9uHrK1W1esyfeRfq7WJNT/vilj+Nb64vOT8eXe78UT0p9p6gos0Y9aBvrYos47O/vz6RJk+jdu5NVSpLxx0OEdGlFQHshXZrElmqWOAU7HOmBvoEoa1uu1cnByQ5qlJvTq5cwNzY0uCQ+KCoqCoVCQVG7cUpRURFxJlaBxMXFdbq99K81x+yM/fv3c9ZZZ3HzzTfzuJE6jMaora3l5MmTbX5qamoAKC4u7vCaqcKqlmKzkP7zzz9z7733EhoayrPPPsuGDRs4evQoGzdu5Pnnnyc0NJT77ruPX375xa4GemmLQUgvsV9Ij4uPw6evuEHJa+Wgj81GBjo/HVXKKrbmb2VV1iq+3vs1WUEi8/W6rL6M2XlMfOFfe61TV7MxtmzZYvqD27evmPVtbIQNG6xypixcvxCA+Lp4gvyDrGqTK/FT+hkGk+07vhKGAkFdKKSnxQpnZY28xq7T3f7L7cS8EsO2fPfoQDqNAQPE57epCTqrBeCJ6HQmo12+3fctUa9E8dbmzpdrAyAt97/pJjDiWGzNy+tfJu3NNL7e87V4Ii4OEhNFW8wMRoJ6iO//3GlzzbfJTQn3D28TPeASIV2rhXJ9YSInOtLVajXRZdFsumET82fOt7qZbo2vr+gQgzcn3Uv3wgJHemlpKd9//z1Lly41+rpUu0YqduZqcstyQQXo4PQBjp/EO7+vENJ/PPRji5CenQ1WLCs+VnGMpfvF+/dM2jNU/aeK7Luz+ePqP1gwbQGVv1YyOW4yQ+OGEuoXyn//+1/S09NtbrPkQLU0J10y8kjRAZYSHR3NhAmiHsYPP/xgcjup33+86jhqrekVspawvUxEE07qOcmu47gzpuIiJSOCU8YRrdFqzTrSNeXCEJBdkm30dXNIDvQR8SMAb8FRe/lyjxCsrxx0ZQfh2R4hPaMoA7AuXkXlo+K5Oc8B8OneT4Vz1MZ8dFsKjVqM5Ej3lGiXqM6jXZyWjw52OdIBwjRhhsf9YsxHBHULVKqWcbELCpSrVCpGjBjBan2UMgijwerVqxk3bpzRfcaNG9dme4A//vjDsH1KSgpxcXFttqmqqmLz5s0mj2mKffv2MXnyZK699lqee+45i/d79dVXiY+Pb/Pz+uuvo9PpiIuL6/BagjUr441g8/T866+/TkREBDt27GizhDMpKYkxY8Zw5ZVXMmzYMF5//XXOOeccuxrppQVTF0ZbOFR6iEZdIwE+AVS9WIVCrqCqtopjRcfIOZlDo7wR31BfyhvKKago4Je/fiHSN5xPDhaIA9xwQ8tAwULuuOMO3n33XZ544gn+97//ddxAJhOu9M8/h9WrSb5RONQtEdK3lm+FcJiWPM2qNnUFfSP7klOZw6HSQ5ye2HEw51QniYVC+oBeA2AvNPk2dbqdOX7P+h0dOv459o8h97lbIpMJV/pLL8H338Mll3R1ixxHRUWLC7ydkP5n9p8AbD6xmf/j/zo/zqOPCmeOBfeEbQVCLP9g+wdcPuhy8eSYMZCbK+JdpHoKRpCyVaUBuacyKmEUR8pE1ra0fNupVFa2RO9Y2AFOTk4mPT2dZCsif1atWsW5557LhAkTDEWeuhV9+oiJp61b4fRu5rj3cupiwWqVzMxMLrroIlJSUrj44o553YkhXetIz68XIkhiWCIhgSEOP/6sPrOQI2d30W7WF2VyekKCEF727oXxltWCWLBpAVqdlrOSz2JQ8CBDLMeJEye4+OKL2bRpExkZGfz0008OWZpvjSO9uLaYkroSZMgsykBuz5w5c1i7di0rVqzgrrvuMrpNXFAcKoWKJk0Tx6uO23wfr2uuoyZcGEFumHyDTcfwBAxCelm7aBdXOdIrK1tiOEwI6aclnQYbQBugpam5yZDJbQkN6gYOlhwE4Joh17C9YLtXSLeDvcf28kfWHwBcMeiKDq9LQvq2/G00qhvxVVoeDWGLIx3ghuE38OSaJ9l7ci//5PzDmdYK6TYI+BKvvPIKubm5zJs3j+HDh5ve0NOiXfQTnccqjlHfXI+/jwgdd7ojvb5e/IDNQnq8bzwliMm5ESkjHNUy9yc5GfLyxArwsWOdfrr77ruPa6+9lpEjRzJ69GjeeOMNamtrmTdvHgDXXHMNPXr0MBQsvfvuuznjjDN47bXXOOecc/jmm2/Ytm0bH374ISBWuN1zzz08++yz9OnTh5SUFJ544gkSEhKYM2eO4by5ubmUlZWRm5uLRqMhIyMDgN69exMUFMTevXuZMmUKM2bM4L777jPkqysUCqI7iXqaNGmSy/P0bXak79ixg0svvdRoDiKI5d6XXHIJ27d7CxU6ktbRLvbm/WwvEH+boXFDUchFplBIYAiDUwdz3tjzuHj0xZyXfh7XDLmGh854iLVPr2V5ymXIt24VRSqfecbqc07Wi1/vvfce9dKFtj2tctIlJ8WximOd/r6ZeZnUhIkO851nm8lhdwPMFRw1OEnCneAksTC6YUiKviPkR0tunZXUNNUYOvOZpZk2HcOjkHLSf/lFLM/qLkixLjExIue8FdLf1aLiT4GBYrJBZX4QJcXFrM1ZS0G1fvLOwpx0aeLNKd8fF9J64smlhUaDgiz6GwGMHj2agwcPsnjxYotP8+mnnwIwcmQ3nVg7X7hSWbjQm5PupftgxnUKGNw9+fn5RvtskiM9t6prhPSsMrFKJC08zSnHjwyIJKhcrIha8OuClpx0C+NdKhoq+HjnxwDcM+Yew/Pr1q1jxIgRbNq0ibCwMO644w6HDRgHxuiF9JPmhXQpJiA5LJkAH+trkMyeLSK91q5dS2mp8Ug4uUxuEHnsyUlfl7sODRoSQxOZMnSKzcdxd8w60p3dD5IKjQYHixVZRjgt+TTQAnIh5FrD/uL9aHQaIvwjmNVHRInuO7nP7tUKLmWEXgw8fFgYU7qQp757Ci1aAisCjRo00sLTiA6IplHTyM5CyzPdKxsqDeO9IXHWCelhfmFcPVhEzNyw8Aa0kpDermihMXQ6nUHAt0VI/+KLL3j77bfJzjazWsLDol2iA6KJ8I9Ah67N+NvpjnTJrKdUimuCDZw7/lzD4zMHnemARnkIUsFRF9WZvPTSS3n11Vd58sknGTp0KBkZGfz222+GYqG5ubkUFBQYth8/fjxfffUVH374IUOGDGHp0qWsWLGC005rqTfzn//8h//7v//j5ptvZtSoUdTU1PDbb7/h5+dn2ObJJ59k2LBh/Pe//6WmpoZhw4YxbNgwtulXmy9dupTi4mK++OKLNu7xUdKEpAnWrFnD33//bfWPPdgspDc1NREYGNjpNkFBQTQ12edm9dKWPpF9UMgUVDdVk19t3/Ki7flCSJeWypmlvh4eflg8fuQRi2eKWzNnzhySkpIoKSnhiy++ML6RlJO+dSu9CEGGjHp1vck8cYCNxRtBBnHEMapv5180d8CUg0TCHTLSEyITDHE/u4/aVtindZb/KSGkjxwpXAs1NdBu+ZNHYyLWBSCzxAoh3Qqk4+nQsezAMvFkayHdhECp1WrZkydyOP0a/Ixu4ym0FtJdEu1iZaFRWyguLuann34CMLgeuh1XXikEhV27YMeOrm6NFy+OwYJJ+Pj4eAAaGxspl2KiWiEN3rsq2uVAkRCCnSWkA0yIEfElfx3/y+qCox9t/4iaphpOizmN6anT0el0vPfee0yePJmioiIGDRrEtm3bOPvssx3WXsmRnlWeRX2zCYOLHkOhUStjXSRSU1MZPHgwGo2GZzox4zii4Ki0Wm5qylSXu9RciTSeyKnIoUHdYuBw6jiiNRZMsPmqfJHXCcnB2pz01i7n1PBUglRBNGoaDX1PjyAqqkUk62KD4ar8VQBMizO+elsmk9kU7yLF7/QK6UWEv/V9yEt7XQoayJZls/Hv78WTFugMOZU5VDZWolKorF4lU1FRwZ494vM4ceLEzjf2sGgXmUxmNMVAuvdKk9oOp3U+uo3X3fHp4vMX4htCSoxnG6KsQlrZ64JoF4k777yTnJwcGhsb2bx5M2PGtNSOWbNmDQsXLmyz/dy5c8nMzKSxsZG9e/cyq12dRJlMxv/+9z8KCwtpaGjgzz//pG/fvm22WbhwITqdrsPPmfr416eeesro68dcNMFgDTYL6X379uWnn35CrTY+I6xWq/n55587vHle7EOlUBmcifYWHJUc6RbHbbzxhohV6NUL7rvPpnMqlUruvvtuAObPn2/cZd6rl1gar9WiWr+JHiHi5tVZh/rPY6LDfO3pnVTcdiM6c6Q3qhsNkyROcZJYKJbJ5XJ8GsSS4n15lhWhak/rzE1T7vtuhVzeUnT0+++7ti2OxISQXtlQSVGtKCpSWm9BwVEraC3Mf7vvW/Fg+HBQKKCgAExkch8tPIpOJa4rgxOti55yN4bHDyfEN4RQ31DXRLtYWWjUFr788kuam5sZMWIEg62MBvMYIiJargOffNK1bfHixRGo1S31EzoTzHx9DYXl840IDl1dbPTrVaLmRukRx96vWnPnVLEqsjSklNJkvfhigSO9WdPMm1veBOC+sffR0NDAm2++yd13341arebSSy9l48aNpKU5dhIgLiiOCP8ItDqtIULDFNK4Y0CUdYVGW/P8888THR3N1KlTTW7jCCH9+52iD3ZW6lk2H8MTiA6IJtQ3FB06w4oLKRYHXBDtYqbQqIR/s1jNeDC/889Ye6QYlyGxQ5DL5AyOHdzmeY/BDQqO/pXxl1i9rYWn5z5tcjtbhHTD38lKN7rE5CGTGa0dDUDOUf2qUwuEdCkffWD0QFQKyyODANavX49Op6NPnz4GF65JPCzaBVrFAetXEmm0GsN1wWmOdDsKjUpMTJxI/6j+XD/0+m49CdoBSUh3Q8HYi3FsFtKvueYaMjMzmTFjRof4FsktkZmZybXXeoaw6UlI8S7tKzFbg0arMSzZssiRrtEIIR3g+ec7xDtYww033EBwcDAHDhxg1apVxjeSXOmrV5vtUGu0Gn478huAYdmfuyMJ6YdLD6PVadu8llOZgw4dAT4BRAd03jG1CSvEst4xYtLGJ9x81XRjtBbSC2sKqWq0vOCWxyIJaD/+KMSH7oB0U2+Xg916csSRjnSdTtdGmF+Xu05MLgUEwKBB4kkT8S6bDm4CQF4nJyLEec5qVxCkCuLfef+ydt5am5bRW42NjvRrr72W2NhYfvzxx0630+l0hliX66+/3qYmegw36DN5v/qqJS/SixdPpbW73NxqNv0S+BNGBAdp8F7eUE51Y7Xj2mchJVoh+qWEOs/lNnPUTHyqfEABn5zUi2Z79rTUnzDBt/u+5XjVceKC4rhi0BXU1dWxd+9e5HI5r776Kl9//bXZlcC2IJPJLM5J319iW6HR1pxzzjlkZWVx7rnnmtzGXiH90PFDZNUJUXlIiBMLELoBMpnMMNEu9clyKlrGETGBMc5tgBTt0skEG0CITNQkyCq2rgi35HSWBHQpf1tyqnsMbpCT/vyPzwMQURnB4FTTRgZJSF+ft97iGFlJ0B4aO9Tm9i2/dznyWjkxjfpzWhDtYig0aoOAv27dOgBDEeROkaJdyss9pk8nXaclvaiwppBmbTMKmYKEYPuKLJrEzkKjAKF+oey/Yz/zZ853UKM8BBdHu3ixH5uF9Lvvvpvzzz+fv//+m9GjRxMcHExaWhrBwcGMGTOG1atXc/755xvcx6ckNTVOOaw0w2iPI/1Q6SFqmmoI8AmwbCnUli1w8iSEhsKll9p8XoCQkBBuvPFGQBStNUqrnHRzHeqv//ma0vpSgpRBjOtpXVXgriIxNBEfuQ+NmkbyKvPavCYtx0wNT3XOTKwVYtmwPsMAqFPW2XSq1kI64FlLMW1l0iTx3paUgL6T5vGYcKS3juspry9Ho9U45HR1zXU0aUSu0KCYQSLeZb+ReBcjZBzLACCgyQXCswsYHDvYMIB0OjY60mtqajh58iR5eXmdbrdjxw727NmDr68vl19+ua2t9AymTBHfl8rK7rU6xcupiXRtCAsT2aed0DonvT0hviGE+YUBXeNKr1XVAjAyzXn1GWQyGYN9xTX74/K1IuappqbT5do6nY5XN74KwJ2j7sRXKZz9Dz/8MCtXruT+++93qjPPIKSbyUmXIgIkQ4+tBLfKzi0oKECjadt3sFdI/2DVByAD30pfBiYNtLWZHoPBnFN2GGgpNJoSluJ8R6cF0S4AUb7i9ROVljt6dTpdB6ezQUj3NEd6FwvpWq2WfytEcfcLel/Q6bYj4kfgI/ehsKbQUJzSHPY60kFEit6QdAOx4jLNEW2t2X3sEfClYvdmY11A3PskE6GHxLu0j3aR7rk9QnqglHd+H7cZBzjST1laO9LNTLx7cQ9sFtIVCgUrVqxg4cKFnHnmmahUKnJzc1GpVEyePJlFixaxfPly5HKbT+Hx+H7+uVOO27rgqK0YKzTaKZLT8Oyzwcc2d3Jr7rrrLuRyOZmZmVRWVnbcQF+UlD17GKgVrmxTHeqP/vkIgLDSMHwU9rfNFSjlStIixPJckwWCnJVraIWQ3iNYLGWzNY9fEtJDfIUT5ZTISVcqQV9Qi+XLu7YtjsKUkN5qYkSHjspGI99lG5Dc7T5yH64fJpzL3+7Xx7uYEdIPFollwxFybyfOamx0pEtFx4+biNuRWLp0KQAXXHAB4eHh1rfPk5DLQcqA98a7ePF0JLHMgkm2zoR0wFBI0tVC+omSE+gChNNx4kALhBM7uGr0VQAcUR1DO0AvOncS7/L3sb/JKMzAX+nPjUNvNDyflpbGFGmFphM5LUYUC9tbbLoQZGVDJSeqhQgqCTT28sMPPzBw4EBeeeWVNs9L/V9bhfRfM38FoL+vY9rp7vSNaBsXachHd0XBdcmRbibaZcIQ4fqN6W25Q/5E9QnK6stQyBSGsa8k1HqckD58uMiMzs0VxjQX880/39AU2gTN8NSlT3W6rb+PP8PjhwOWxbuotWr2FImscVsKfrbm3VvfJV6/WOmuv54zu730ObD2vA0NDWzVT2pYJKTLZB4X7yI50g+VHkKtVRsmRaR7sFNwgCP9lKVnTxFf2tQEUsFdL26N3Sr3Nddcw+rVqyktLaW5uZnS0lL+/PNPrr76ake0z6Px//BDqHb80tX2S3VswepCo5KQfv75Np+zNcnJyaxdu5asrCxCQ0M7bhAVZSjSNPqwmJE21aHeVimWzk5LMV44xV1p7yCRaO0kcQpWiGUhciGA78yyvHK7RGldKQU1otrzOX3OAU6RnHRoiXdZvtxkUUyPwlS0S7tiuY6Kd5FiXSL8I5g7YC4g4l1OVJ1oEdK3bzcanSN1FBMCnLRssTtjoyNdEtLNOdKfe+45/vjjDx566CGbmudxzJsnBl9//w1Z1i1n9+LFrZCuDWZcpwA33XQT3333HZdddpnR1w0FRy10OjqKf/cK96GsXkbP6J5OPdctZ9+CrEGGzl9HboK+j9tJwdHXNr4GwBUDrmDSqEm89dZbHVzazmRgjHlHujTmSAhOINTPSL/dBkpLSykvL+fxxx9n06ZNhuclR/rxquOotdZH5B3RHAHgvIHnOaSd7k77uktON+S0xkJH+tgBYwGokVu+WluKb+kX1Q8/pSgePyhmEDJkFNYUcrLW9YK0zYSEQHq6eNwFOelf7fkKgJ51PS26/lmTk36o9BCNmkaCVEF2Z/IrtTqi9MkpW2OP88WaL0xuW9FQYdAGrHXC5+bmEh8fT2xsrOV1J6R4Fw8R0hNDEwnwCaBZ20x2ebZh8tpp+ejgklpL3RalUtQJBJcWHPViO1YL6Rs3bmTKlCkEBwcTEhLCtGnT2LJlizPa5vHIKyrgrbccftx+Uf2QIaOkroTi2mKbjmFVodGsLNi/X3zBZ8606XzGOP3001F2tkRYH++SniFcjsaE9L1H91IXJmJH7pp1l8Pa5graO0gkDEK6M5wkOp1VN7nSo2LbHYd2WH0qyY2eHJZsmLA5JRzpANOmQWAg5OUJwdeTqalpmXzpxJEOYvLEEUiCfGRAJD1CejAhUTiZlu5fCv36iQFJXR3s6zjoL2oUxU9TI5xcYKs7YqeQbs6RLpfLmTp1KkOHDrWldZ5HYqK4FgB89lnXtsWLF3uwwpE+btw4Lr74YpPiRFcVHN2WLcSrwEbH54y3x9/XnwsHXQjAnl76oZYJR/qB4gOsPLwSGTJq/6zl0KFDvPXWWzQ3Nzu9nRJStMvRiqPUNhmPU3BUrEtr5s2bx2WXXYZGo+Hyyy83rFCNDYrFV+GLRtdSHM9S1u1dR3NIM2jh5hk3O6yt7kx7IV0aRzi90ChYXGxUWuF6ospyEdJYXEigKpDeEaJ+kzcn3TI0Wg071cIQ9fTFpouMtsYaIV36OwyKGYRcZqdHU7/CQS2DUn948/CbHWqJtT9vcliyITLMUvr27cuxY8c4cOCA5fFHkiPdQ6Jd/p+98wyPomrD8L0lvRMIvfdelCa9SVWaqFgQRVRsYO+AFUWw4yeICogNGwpSpTdp0ovUEFoIJKT37H4/TmY3gZTts+Xc17XXTnZnZ94ku7Mzz3nO82o1WhpHi8GbI5ePcCbZhY50Ge1iG7LhqEdh1dHuwIED9OnTh/Xr15ORkUF6ejpr1qyhV69eHCpB0JAAM2ZAqmMbLAb7BZvcGra40q1uNLpkibjv3h2cMB0/Ly+PgwdLmE5aOJ01Zod4LjY59rqmJ58s+wSAoOQg2tRv4/DanMm1J74KpimZznCSZGaKKUNg0Zdco6qiRlsy0hUhvUVMC9Pv6hMZ6QCBgTCosPGtp+cjK7EukZFCwC7EYDSY3rtKdI/DHOmZZkc6wO3NbgcK4120WvPFSAnxLgWhwsXXupZ3NxhzCk6MdnGlu9KtUJqqzpsnmnZLJJ6IA11makW7HLoorlMqast31TuCUa3EbKpf/AtnHZbiSP9gm+gV1LViV378/EcAvvzySwIDA51fZCGVQiqZmtuXdl2hxEk6KtYFRJ78F198QZ06dYiNjeXhhx/GaDSi1WipHSneJ9bGu3y1VkRphaWEOX3mgbugNBu9lHGJlOwU1zrSLWw2qmSkn0603GlpEtIrFz+f89h4lxsLzWsudqRvPLORC2kXiAyM5O4Od1v0GkVI33dpH+m5Zc8iMOWU2xnrApgiLTSVKxMaGMbOCztZsG9Bmfu99v1hDVbFDHpYtAuYUwyOXjlKXKp0pLs9Ukj3KKwS0t99912ys7N55ZVXiI+PJz4+ntdee42srCzee+89Z9XoseTXqye6O3/yicO3rRwYbclJt7rRqBLrcovjp0geO3aMevXq0atXL5KTk4s/2b076HT4nY6jdjJk5WddN41v5amVALQLa+fw2pxNqUK6M50kilDm5ycc0+XQvKZwKeUH5WOwsvGFSUiv1ILGFcWI+LHEY6U6C7yOEcKN5jVC+jWxLudSz5GVn4Veq6dtFdGU1lFCurIdRUgf2WwkGjRsPbtVNOctJSfdaDSSHZQNwLCewxxSi0/hAEf6tYOdIKbQ1qhRg2effdbq44jHM2yYGJg4fx5WrVK7GonENiyMbwDRfPi3337j66+/LvF5taJd8sNEREjzaq5pPjmgwQD0Wj1LAwsjr06dus5Ycyn9Et/uF/2UYn+IBUQ0To8ePVxSY1FMOekJJeekKwK7Ix3pABEREfzwww/odDp++ukn5s2bB9jecHTdmXUAtIlo47gi3ZzwgHCqhFYBRFykU2e2XouFx4ZKgWKgJtuYTXySZfm/+y+JwadrG657RcNRF8Y+zvlnDgC3Nb2NAH2ARa+pFlaN2hG1MRgN7DhfdvJAaQMeNlEopOuqVuO17q8B8MLqF7iQeL0L3NZ8dKPRaNu5qIdFu0CRhqNXijjSI53oSJfNRu2jbuExW0a7WMWCBQtsvtmDVUL6pk2b6Nq1K2+++SYxMTHExMTw+uuv061bNzZs2GBXId5I1pOFUSMzZ0JJDTXtoFlF2xuOWtVo9OpV2LhRLDtBSK9Xrx5BQUFcuXKFBx98sLgIExYGHToAMDJejBgXPaHOzs3mrL+4QLmn0z0Or83ZKEL66eTT5BYIl3hKdopJRHTKCXBRocyCqWyt6xeeFOnhdLx1B3WlaVWLmBbUjayLXqsnKz/LqmmdHs2gQeDvD//9B0ds72egOsqo+DWxLsoAUL2oelQOrQyYs83txRTtEiQE3Wph1ehWWzQD+uXwL6UK6YlZiWTkiWnpTnVceCs2OtKrVatGkyZN6NatG5mZ189eWbBgAfHx8fz777++14A8IADuKfx+kk1HJZ6KFYNsKSkpjBw5koceeqhEsUK5iHe1I90QKWq5ve/tLtlfRGAEtQy1SAqGK+GF7vJrZl9+vvNzcgpyqG6sztktZ6lSpQrTp093SX3XosS7lJaTrlxvOFpIB+jUqRNvvfUWAI8//jjHjh2jTkQdwDoh3Wg0klFZnAOM7zPe0WW6NQ0rCFf6rgu7zNcRrnSklxPtUi26GuSIZUv6LmXlZZnOM69zpCtCuqdFu7RuLZoJXrrkMjE2OT2ZH/eLmS79qljXS8zSeBeHOtIviXhGKldmYqeJVPWvSkJmAsM+GOaw/e7bt4/o6Gjuuusu62rzsGgXKC6kuyQjXTYbtQ/pSLeJsWPHcv/995tu1/5c0k1Zxx6suqK9dOkSnTp1uu7xjh07ckk58ElM5A0ZAk2bQnIyfPyxQ7dtT8NRqxqNLl8upqM3bw6WNuOwAr1ez3fffYder+fXX39lzpw5xVcozEnvHyuy1IueUP+x6w+MgUY02Rru72ffB0ENqoRWIdQ/FIPRYJqGqbhIKgZXJNQ/1PE7tVIoiwiJQJMlBPd9pyw/YTUajSZXU8vKLfHT+VE/Srx/fCYnPTwc+vYVy57sSlcc6aXkozeObmwSvJ3RbFRBaTq66PAis5B++HAxh9+pJPE5qhpa1dSYSmIFNjrSAwICOHLkCKtXrybkmpkuBoOBbwrzwe09YfFYxo0T93/+aRYdJBJPwgpHeuXKldFoNBQUFHC5hPe7chF/PvW8TY0kbeVkkmj4q5yLuILWQULw2xNV+HsWyUnPzMtk1s5ZAFz8TTRm/+yzz4iMjHRZfUUxNRy9fL2QnpmXaTr/dmS0S1Gef/55+vbty9ixY6lZs6ZNjvSDCQe5knWFYL9g7uhyh1PqdFcUc87Kk2KmbsXgioQFhDl3pzk5kJYmli04Nvhn+wNw+Gz5JrCDCQcxGA1UCq5kctsrKNEuR64cISc/x8qiVSQ4GFqImR+uykmf9ss0CARtupYRN4yw6rWWCOmX0i9xKeMSGjSmWS12UehIp0oV/HX+PFRL9DnYqdvJyl0rTavlFuSajlXWCumbNm0iOTmZpCQrr1k8ONplX/w+UnKEqdMl0S7SkW4biiNdCulW8c033/D111+bbt988w2DBg3CaDTSu3dvpkyZwueff86UKVPo1asXRqORIUOGlDpz0lKsEtLz8vIIDb1e3AsJCXFpUxyPQaeDKVPE8gcfCEHdQSiOEHsc6RY1GlViXW691er9WEr79u159913AZg0aVLxvPTCnPQOR9PBWPyEen+WmPI3pMkQAvwsm6rmTmg0GpODxNQgyJn56GCT4zQgV/xtj5y3fNDmQtoFkrOT0Wl0pkYnPpeTDjB8uLj//Xd167CHUqJdlAGRxtGNTYK3w5uNBpkF3ZFNRbzLP+f+4UxAthD2jcZiWZM/rfwJgPzLrhNnvIb8fPPMKQeeAG/cuJFTp04RFhbGyJEjHbZdj6JVK5GNmpcHCxeqXY1EYj1WDLLp9XoqVxazlC6U4NyrEloFP60fBcYCLqS5xtmXkZ3B2VQxg1FpVOgKnuwvZqbuqlH4nVQkJ33BvgUkZiUSrYuGIzBs2DBGjLBO6HIkiiO9pGiX/678hxEjFYMrUimkbOexrWi1Wv766y9mzZpFUFCQSUhXDCaWsOb0GgC61+6Ov87fGWW6Lco59ppT4m/gkkajynFBpxN9dMohxCAG2o9fOl7uukUbjV7bDLJmeE0iAyPJN+TbZChTFRc3HP1u/3cAtPNvh16nt+q1ipC+7dy20ht+Fv6fGkY3JMTfAY2ciwjpAFPvnkql5EqggzHfjTGtdvTKUXILcokIiLC6eeamTZsA6Natm3W1KdEuFy64NJrHHhpUaIBOoyOnQAw4VQiq4ByjHoi/iXSk24dyrR0XJ/sqWcF9991X7BYREcHq1atZuXIlq1evZvLkyTz88MNMnjyZv//+mxUrVrBq1SrreiSUgI/NsVaBUaOEmzslBT76yGGbVRwhF9IukJJteWyMVY1Gc3NhxQqx7EQhHeCpp55iwIABZGdnc8cdd5jjATp3hsBAIpOzaHKluJC+/MRyAG5rc5tTa3Mm1+akOz3X0AYhPdQovnBPJpy0+DXKhVij6EamPD5FUPcZRzqIz41WC7t3mwVpT6OUaBeTkF7RLKQnZTvPkV41rCrda3cHSo93+e+SqCk4L9ghdfgUV6+al+04sbg2I11xo48ePZrgYB/+vyhNR7/6ymMuwCQSE4pgZoHrFETcE5QspGs1WmpG1ARcF+/y979/YzAa0ORqTE01XUHP1j0JSAlgv2KoLXSkG4wGPvznQwBe6/sau3fu5rPPPrtOMHQliiP9bOpZUnOKZ7k7o9FoSfj7m8XvmuHiPWKNI/3zFZ8DcGMFC4xCXoZyPZGWKxziLo11iY4W57rlEKUX5xZnkso/H1ZiW0rK3dZoNJ4b7+LChqNxCXGcDxHu6Wdvftbq17eq3Ipgv2CSs5M5crnkAQuHxrrAdUI6wPy75kMBJEQm8MYPbxTbb0kDLWVhNBrtF9JzcszX026Ov86/2OCxtYMOVpGeLgwjIIV0W6lWTfSxy8vzqAghd+Odd97h9ttvp1+/kuOsbr75ZkaNGmWKlLMVq4X0hQsXMmjQoGK3774To53XPj5o0CAGDx5sV4Eej1ZrdqV/+GFxscIOIgIjqBYmDujWjMZb1Wh00yYxABATY8oqdxZarZb58+dTpUoVDh8+zOTJk8UTgYHQpQsAfU5BbEosAHFX40wDAgMaDHBqbc5EOfE9nijcGYojvV6kk5wkNkQ3tK0vGklG1oy0+DWmRqNFpvkVbTjqM8TEQNeuAGiV2R2eRinRLsr/sVF0I4dHu1zbbFTh9uYi27ZYvEsRIV1pXlc9pLpD6vAplGNDZCTorXMtgWhGHhMTw2uvvWZ6LDU1lZ9//hnw4VgXhdGjxffZoUOwo+zGXRKJ26FEu1h47lCWkA5FGo4mu2aAefGuxQCEZ4S7vE9Du5B27Ktc+MP+/WAwsPTYUo4lHiMiIIIH2j5AmzZtqF5d3e+tCkEVqBpaFbh+tquzGo2WxpUrV3jh4RcA0dg8r6D8Wc+Z2ZkczxPn0i2CHRAx4WEo1xMKLhHSrYh8AqgcVDhTxYKZKPsTSm40quDxDUd37XL6oPrUn6aCHgJSAhjVbZTVr9dr9XSsLs61S4t3cWijUSiWka4wsP1AbigQ5r+3dr1Fela6aQClTeU2Vm3+5MmTxMfH4+/vTwdrtY2AAPN73QPjXcBFsS4BARAU5Lz9eDM6HdQq/B/JeBebOXToEDVr1ixznZo1a3LoUMk9YSzF6rPJEydOsGLFimK3EydOYDQar3tcufk8I0dCy5Yiy/fDDx22WeWEtrRR4pKwqtGoIvwNGWKR08BeYmJi+Pbbbxk4cCDPPfec+YnCnPTep83OlKkLpwJQnerEhMQ4vTZnYXKkJwlR8lSyyHh2J0d6x2biJCrbL9vi1xRtNKrgk450gMKp2prFi9Wtwxays83ukCJCelZelkkAcWq0S3Bx0WZE0xFoNVp2nN/BxWaFJxrbt5suRi7lihPw+hVcl4HrNdjYaLQoly9f5uzZs6aff/rpJ7KysmjatCkdlYEPXyUyEm4rnD0lm45KPAmDwXx8cIAjHcwX865ypG87uw2AJqHlGEicwNibxnIsGrJ1QEYGnD7NzK0zARhea7jzc6ytwJSTfk3DUWc2Gi2JsLAwMi5lQL5w7z/+1eP8sukXklJLH6yfv2Y++IMmS8PIrr4XI1Y/qj4azM5cl0S7WNhoVKF6uBgsupJ7pcz1jEZjmY50MOeke5yQ3qIF+PsLY91Jy2f6lofBaCAjN4NL6Zc4mXSSffH7+P20iJXsFtXN5gFEU076uZKFdFc40gF+m/gbmkwNeeF5jP5oNHsv2bbfzZs3A3DjjTcSGGhDLyXFle5JQnqRmUROdaQXjXVRcXaVx6PEu5y2PNZMUpywsDA2btxY5jobN24kLMy+8y+rjqqnT5+2+nbq1Cm7CvQKirrSP/rIYdOBlAOjNTnpFjcaNRpdko9+LX379uWvv/4y5WsCppz0XrEQl3Qao9HI6tOrAahv9GzB7LpoFzfMSFdOfK3JMi3Jka78rmeSz5CVl2Xxtjyewpx0zZYt+DuwT4JLiCsUOUJCijkRTySdwIiRiIAIYkJiTIK3w5qNZl4f7QIiW7dH7R4A/Oh/TIzcx8dDoXibqhHT0VvU8D03mt3Y2GhUoUaNGgCcO3fO9Fj37t156qmnmDRpkqqRBW6D0nT0xx+FoCaReALJyUJMB4uPD4q7ujQhXbmYV2YROZvYglgA+jTu45L9FWVs37EYcjQcKvR8nFj3KxvjNkIBLHpmEVcdNFPVEbSoJL47r81Jd1W0i0JAQAA//fgTmqvie2POxTmMWjuK6A+j0T+np+dXPXli2RN8tuMz5m+ez5ZDW1i0axEANXJrWJ0F7Q0E6ANMufLgRENOUax0pPe6sRcA0XXKPo7EpcSRkpOCn9avmJu2KEWjXa6NlHNr/P2hTRuxbGW8S15BHq+se4WXjr/EjXNvpMEnDagyowqh74Sif0NP6LRQqsysQoNPG9BmdhuSI5IBeG3oa2VvuAzKajialZdl6nvlMEd6KUJ6rZha3Ff9PgBWZq9k1wXxt7Ol0SjYEOuioMwc8qDYjaLHbdlo1ANQhHTpSLeZYcOGsXXrViZMmEBCQkKx5xISEnjkkUfYtm0bw5VedjZi1ZlG7dpOHMVyIAsXLmTTpk3s3r2bAwcOkJubyzfffMPYsWNLXD81NZWpU6fy66+/Eh8fT9WqVRk1ahRTpkwpsbmqTQwfLhqO7d8vGo/amckDRRqOXrFCSLe00ejBg+IDHBgIffvaWqJNFBVcli1bRr9evdCHhxOVmkqTcznEJsVyLlCINWM6jyltMx6B0mz0QtoF0nLSTI57p50A2yCWReoiATh01rLpLwajweRmKiqkx4TEEBEQQUpOCieSTtCyckuLa/BoatWCG25As3s3VXbuhLvuUrsiyyka61Lkc1k0H12j0Zgd6Vn2O9KNRmOJzUYVbm9+O+ti1/HDycU81aoV7NkD27djqFGDnCDRTOeG+uUMFEqux05HeklCeuPGjfnggw/sLs1r6N4d6tWDU6fgl1/gvvvUrkgiKR/lvCEsTIhAFjBy5EiaN29Os2YlO5hd6Ug/c+kMORHiu+Gubq7//vX386ddWDv2Vd7NDRdh9/JvoBVwEF589EW7m105EpMj/bL5fC+3IJcTSScA1znSQXx//G/Q/5i+djoJBQlkBGZgDDRSEFrAhnMb2HBuQ4mv616ru8tqdDcaRjc09VpyiSNdEdItdKTf2OhG2AhXC8oePFJc5k0rNS21aWzzmOboNDoSsxK5kHbBZPrxCNq3FxFvO3fCnXda9JICQwFjFo/hx4M/igfKGIsP8QsRDSXzoOrVqnRvZftnolONToAwfF3JvELFYPOgyaHLhygwFhAdFG2Km7WL7Gxz0/uihrpCvnzsS3Z8toPDyYfJy8lDr9VbfUxq27YtPXr0oHehSc9qFCHdkxzpRQajake6yJEusZ26hRqQdKTbzLRp09i6dSuzZ89m3rx5NGjQgJiYGBISEjhx4gQ5OTm0aNGCadOm2bUfr2w2+uqrrzJnzhzOnDlD1apVy1w3IyODHj168OGHH9KkSROeeuopGjduzIwZM+jduzfZ2ZbHWZSJVgtTp4rljz82X5jYgbXRLlY1GlXc6H37CjeqCjz11FMMHjyY115/HU3PnoDISX9v2XsQIKZv3tv7XlVqcxRRQVGmk5LNcZvJys9Cg8Z5I8Y2iGV5SSKb8tRly2aXnL56mqz8LAJ0AdSPMs8Y0Gg0vpmTDqZ4l2rbtqlciJVYkI8OZud4cnYyBQb7uoyn56aTZ8grtt2iKPEuOy/sJLVN4cnh9u0ciTsC/oAR2jdqb1cNPokDHeke5Q5zJVpt8aajEoknYGU+OkDz5s0ZOXIkTZuW7CZVHOmuENIXrl8IgD5VT/M6zZ2+v5J4ZeQr7C/UharvPApGqH+pPi+88IIq9ZRG80rXC+nHE49TYCwgzD/MMWKZFTw86GFOzjhJ2odp5L+dz5EHjjD3prnMvWUuz9/0PEMbDyUsOwyU0448mDhwoktrdCcaVRDnZFqN1tSs1ako0S4WOtKrhwkR8mLaxTLPFcuLdQEI1Aearik8Lt7FyoajBqOBB5c8yI8Hf0Sv1TO++nj+uvMvtjywhb0P7+XEEye4+PRFvqzzJb+3+Z30l9OJfzae+Jfi2TN9j12lVgiqYHI0KxFZCqac8iptHDPrUMlH9/cXcXjXoNfpmTtirunnphWbEqAPsGoXjz/+OOvXr+fmm2+2rUYPjHYp2hNPOtI9AOlIt5uoqCi2b9/O5MmTqVatGocOHWLdunUcOnSIatWqMXnyZP755x8iSzjOWINXCulz584lNjaWy5cv88gjj5S57vTp09m7dy8vvPACK1eu5N1332XlypW88MIL7Ny5kw8dmGnOsGFiOld6OsycaffmlC+22ORYMvMyy13fqkajS5aIexfGulxLl8Imo++99x5HC7+4ep+GH0+I0fjaebXx97PMHeXOKGLkypMrAagZUbNUB4bd2CCkt6wjnOOGIAO5ebnlrq9MCW5Wqdl1Ofy+npNeae9eszjtCShf4sqXeiEmR3rh/7Oo4J2cnWzXLhU3ur/On2C/4OuejwmJoVcdMT14c9XCBmTbt3MyUWRNBuQGEB4SblcNPomDHOmZmZlcuXKFCRMmsHbtWgxKJIREMHasENQ3bYJjXjygmJsrMuGfflrtSiT2YucgW0mYmo2mnHH6wNvqIyIKsCYuEBZLoV/9fqxq5k+WHrqehceWw8KZC/G30OHvKhSDzoW0C1zNEq7hoo1G1Yzo0mq1NKnZhHH9xjGu3Tje6/cei+9cTOq0VLJezeLvW/9mz/17aN/YdwfSleuJmuE18dP5OX+H1jYbDa2MFi0FxgKOXzxe6nrlNRpVKBrv4lEoDUd374aCss0nRqORx/56jHl756HT6Fg4bCGDKw2mX71+3FTzJlpXaU0FTQUmPjiR8WPHM+6BccQr8SgOorR4F4c3Gi0a61LKsaZzzc7c0+oeANL+SyNFcbC7Cg+Mdgn1D6V//f7UjqhdbKa4w5GOdMcghXSHEBQUxNSpUzl58iQpKSmcPXuWlJQUTp48ydSpUwkOvl5jsBavFNL79u1rUQyN0Whk7ty5hIaG8tprxfPDXnvtNUJDQ5k7d24pr7YBjcbsSv/0U/MJiI1UCqlExeCKGDGaMsrKwuJGo/HxooEfiEajKnHbbbeZBkIe+flnALrFQaZBfGkOajhItdociXLiu+KEaMzrtHx0sGm0uFmtZmAAtHAw9mC565eUj66g/K4+J6Q3aYKhd2+0BgPaTz9VuxrLKcWRrhxvFCFdr9UTHiDEa3vjXYrGupR20X5789sB+Nq/0DW3ezc5ejHPtX1D372Itgs7xbLAwEAqFl5Mf/nll3zxxReMHj2agnIuEn2O6tVhwACx/PXX6tbiTJYtg19/FQ3W//Ox4723YaVYBpCfn8+vv/7Kp59+Sl5e3nXP14wQonZ6brrdg6/lkVVR9GTp16yfU/dTFqH+oVRt0ZXnC0uYuVtLp3D3G/CNCIwwOZkVV7qrG43aQqB/IH3a9qFN/TZql6IqXWoJA5ISx+F0rGw2qtfqTZEkO47sKHU9SxzpRZ/3OEd6kyZitndGBhw9WupqRqORp1c+zRe7v0CDhgXDFzCiyYhi66xbt45WrVqxaNEi9Ho9Tz/9tOlczFGU1nDUVY1Gr2XWwFlUP1Cd2K9jueeeeyw2bBw+fJgke/vUeWC0C8Dyu5dz4skTJRqUHIZ0pDsGJdrl7FnIz1e3Fi8hLCyM6tWr291c9Fq8Uki3lOPHj3PhwgW6dOlCyDXxJSEhIXTp0oVTp05xtrCRnUO49VZo10640mfMsHtz1jQctbjR6NKl4r59eygnGsfZfPDBB7Ro0YINiYlcCdQRkgcdzwNGeHLwk6rW5iiUqZiKuOy0fHSj0abRYn8/f7RZ4lBx8IwFQvrl0oV0kyPdgoEfb8PwzDMAaL/6CtyouViZlCCkG43GYhnpCkqeub0NRxUhvqRYF4XhTYaj0+j4zXCYgvAwyMoi/d9/AIo125JYgQNcp926daNv3758XSgQ33PPPfj5ucAV52ko8S7z53vvSfIPP5iXv/1WvTok9mPDsUGr1XLnnXfy5JNPckmZrl+EYL9gKgUL8c2ZDUcNRgNH04VQNWHwBKftxxKqplblsw6woiYEFBjg7rshJ0fVmkrClJOeUFxId1WjUYnttKvajpNPnmT+sPmu2aENg2yBeYEAHL1QsoCckZthyuRvXaUcIb2KhwrpOp3QAqDUeBej0cgra1/ho+0fATD31rnc1dLc4yEnJ4fnn3+ePn36cO7cORo2bMjWrVt55ZVX0Osd22xXEdJ3nN9BXkGeqT6TI72c/5PFKN8VJeSjFyU8MJzFLy4mIDeApUuX8vrrr1u0+XvvvZfo6GiWKjqHLXhgtAuIeFW91slNmJ0we80nqVIFAgLEbJUifack7ofvtTUvwvHjYlpZw4YNS3y+YcOGrFy5kuPHj1OzZulTQnNycsgpcjKclpYGQF5eXolOHM2rr6IfMQLjZ5+R/+STFo/kl0ST6CZsitvEgUsHStxXUUwdriu3KXNd3eLFaIGCwYMxlLNNZ6PX6/n222+56aabWB2QxehskZN+NKYi9arUK/d39gTqRRZvCFQrrJZzfq+MDPxyRTRLXlgYWLGPwLxAMsnk0NlD5dZ24NIBAJpUaHLdusrv+l/if+Tm5qo6TdjV5PXoQUadOkTExlLw2WcYXnxR7ZLKRX/mDBogv0YNjIX/y8sZl00OwjphdUz/46jAKE5zmktpl+x6/yakie7aFQIrlLqdSP9IetbuyZrYNZxpGEO93Wnotu+GqlAzrKZXHBdcjS4xES2QHx5u+l9by08//URCQgJ1Cqcl3nPPPfJ/URIDBqCvVAlNfDyGv/4CPz/v+julp6NfsgTl6G5cuJD8114TkTYSj0N76RI6oKBCBavOCatWrcrZs2eJi4ujcgnCSM3wmlzOvMypxFM0j3ZOdvnBhIOk5qQS4hdC46jGqn7OPn/wc9I+SUPz6XCM455Fs3cvBa+8gqGUZldKra6uuWl0U1acWGG6rlCE9EYVGnnXccpLqRlaE4yued/or1xBA+RFRlp8TRFuDCeTTE5cOlFijXsu7MGIkSohVYjyjyrz92gWLWZJHEs8RmpmKkF+Qbb8GqqgveEGdJs2UbB9O4a7rm+C/Pbmt5m2WRwbPun/Cfe2uNekK+Tk5NClSxf27xcROOPGjeP9998nNDTUKf/3uuF1qRBUgaSsJHad28WN1W7kdPJpUnNS8dP6UT+ivkP2qz1/Hh1giImhoJzttW7dms8//5xx48bxxhtv0LJlS4YOHVrq+mlpaezduxcQPTxsrjcmBj+AhATyMjNBmkVMmK4jIiNtvo6QCPS1aqE5fpz8EycwKrMgyiDfW005FlKvXj00Gg1///03devWpV49y5ptazQaTp48afN+fVpIV3K1IiIiSnw+vHDaZXn5W9OmTStxNHTjxo0cPlyCU1yjoXuDBkSdOEHs449z+L77rKzcjPGyyJbccGgDyzKXlbpegbGAXeeFkJ5xLINlZ0teV5eTw8DVIk9yY2QkqctK36YreeCBB1j74yxGI3LSj43uxzI3qc1e4rOKZ9mlnElhWZrjf7fAy5fpDxj0epZt2FBq/lxJ+Gf7k0kmWw9sLfPvnmfI4+hl4TJJOJjAsmPF180xiAGn5OxkflzyIxH6kj973kqNYcO44aOPyPvgA1Y3aYLBzfJRi6LJz+eWwpHwv48fJ6fQaXA4XRzTKvlVYt3qdab1CzJEhMe6f9aBHdHPm65sAiA3NbfM91rjgsasYQ3LIxJ5DNBs2AF3wp61e1iW4R3HBlfS4/RpIoGdp06RYMex9Y8//iA/P5+GDRsSFxdHXJzzmwl6Is07d6bBn3+S9P778PLLrC783vUGqm/YwI1ZWWRUrox/aip+Z86wfeZMEpur0+hRYh+t9+6lDnAsMZFjVhwbgoKEqLVkyRIuKxEQRfDPEt9/K7atQHeijLhBO1h4RDQara2vzaoVq5yyD2t4oPkDZAM7xo+n47vvov3gA7ZFRpLYsmWpr3H1sSE/UVyQbzy6kSV5S0zndPEH4q87p5P4MEYjt1y+jAZYu38/2RcvWvQy/xzxuT8Qe6DEc7yVV0S/qKraquVe5xmNRiL0EaTkpzDnjzk0DC7ZGOeOVNdquRFIWbOGTdf8nr8n/M78C2JWwf3V7qfWpVrF/hYBAQFUqVKF06dP8/jjj9OxY0c2btzo1Hrr+dUjKSuJr1Z/RUKlBP5JFrNAawTU4O+VfztkH6127KAucDwtjaMWfNdER0czZMgQli5dypgxY5g+fXqpxsc9e/ZgMBiIiYlh//79pkEIqzEYuEWvR5ufz7rvvyfLDjOkt9Ht5EkqAP+ePs1FL9Fo1KJzSAgxwIE//yQuI6Pc9a/YGRft6RgMhmLmzGt/Lg17e/T4tJDuKF566SWeLtJQ6/z58zRr1ozu3bubnHnXotFoYNgwGqxcSZ1PP4WYGJv27X/an7k/zCVJl8SgQaVnhh+5coTsfdkE+wUzfvj4UjPSNUuXosvNxVi7Nl0nTLBKbHUmAwcO5PmUs7DwTzqdg4BeD9Gubhe1y3IImXmZTHp/kunn4T2Gm6bROZTCkXhNxYoMGjzYqpdW31KdZJIxhBjKfJ8dTDhIwf4CwvzDGDN0TIkHsVqxtYhLjaNW21p0qekd/0NLyMvL4+/8fNr+8guB584xMCkJoxLx4I7ExqIxGDD6+9PnrrtMbtJLey/BCWhdo3Wx98L3i79n3+F91GpUi0EdbO9fsG/LPjgHTes0LfO91iGzA7M/ns2Kysk8BtyQIC7+e7bpWebrJCWjf1JEZbXv3x9je9ty5o1GIy+//DIAEydOlP+HsqhdG/78kyq7dxNw9Srdb7/da2JwdHPmABA4bhya8+dh/nxuOnmSgueeU7kyiS3o5s0DoFHnzjSw4jP9zTffcOzYMapVq1bisWDt6rX8s/MfwmqEMaiPc44Vz256FsIgIjXCvY5HgwZhSEhA+/XXdJk9m/zduyEqqtgqeXl5rF69mn79+rn02BBzIYZP533KJcMlmnZuSt6+PIL0Qdw39L6y+ytJfIuUFLSFLsjet98OQZa5wT/b9xlxxjjyAvNK/EyuWLECzkGv5r0Y1Lv8z+yNKTeyJnYNYQ3CGNTGjT7j5dGoEXzwAVFnzjCob18oNNbM2jmL+XuFiP56j9d5ruNzrF69mgULFvDAAw/Qs2dPVq9ezcKFC8nKyqKqiyJY92/Zz64Nu0gJT2HQoEHs2rgLYqFrg64OO7Yq3zUNunShnoXb7NevHwMHDmTjxo188sknbN26tUSD5PbC3m/9+vWzu15NtWoQF0fvxo0xdnJRPwIPQF94jteuXz+M3bqpXI1no126FPbupVV4OC0seL+e97CoIUcTe01j1mt/dhY+LaQrB9rSHOepqanF1iuNgIAAAgICrnudn59f6Se/t94KHTqg2bEDvylTwMampq2qiI7mJ6+exKg14q8r2eG6/7IYeW1TpQ2BAYGlb7BwBFFz6634uZlbdua8X0laEkKFlFzaJwWgbeQdokOEn2judDZVZPE3rNTQORdNhZFDmgoVrN7+Ta1u4tDJQ8TUjynztf9dFdnZLWJa4F/K+6dxxcbEpcZxKuUUPev1tKoOT8eo12N88kl4/nn0H34I48e7b9xBYUd6Te3a+BU5vp1IFtmVTSo2KfZeqBgsMjKTc5Ptev+m5IjjcaWQSmVup2pEVfrU68P2NOEybJJkJCwbOjbu6DWCpEspnHGgr1zZ5qmqX3/9tWkW1t133y3/D2XRpg107Ihm+3ZqrluHn7f8vZKSoNBBq7v7bkhIgPnz0f7yC9rPPrNYbJG4EYW9VXQxMeiseI/WqFEDgEuXLpX43q4TVQeAc+nnnPbejzOIGTF9m/R1v8/Xxx/Dxo1oTpzAb+JE+P77Es0rZV5LOIGWVYU7PiEzgW0XtgHi+77MaweJ75GcLO5DQvCzonFu3ei6cAWuFlwt8X194LKIh2xXtZ1F7/s2VduwJnYNBy8fdL/PeFk0aQKRkWiSk/H77z9o144vd3/JU6ufAuDhJg+TviydeqPrEV/YhFOn09Gvn+hYHBkZSSUXuqG71ekGG+Cf8//g5+fHwSuiH1a7apb9nywiQUQ76qpXt/i7xs/Pj59//pkbb7yR8PBwcnNzS6xn2zZxLOvevbv99VavDnFx6BMSZLRLUQrPFfQxMfLvYi/16wOgO3vWos+Co/sieDpxcXH4+/tTpZzGxfbipgqOa1Cy0ZWs9GspL0PdLjQa0WxUo4GvvjIJ2NZSLawaYf5hFBgLOJ5Y8u8B5kajN1a9sfSNGQywZIlYvvVWm+pxJjqdngpdxQmEdtdulatxLI2iRcPRAF0AVUKd9KFXGo3a0E27c/POAGTps8pc72CCOLFqGVP6NGVfbjgKYBg3DiIi4L//zJ83d0QZzS3SaBREFiUUbzQKEB3sumajCrc3u53LoRAXpUMLtD8H7RvZ5qb2aXJyQJk6aMPxQWHAgAHUqVOHKVOmEBkZ6ZjavJlx4wCotWaNaAbtDfz2m8jKbdUKmjWD7t2hVi1ITXXv452kdJQGYlY0FASoVtiU7ULhoOy11I4U3y1nkp3TbPTkhZPkRoi+MHf3uNsp+7CL0FBYuFA0HvzxRyGkuwGh/qGmpt0/H/4ZgKaVZKNRyTXY0GgUoEHlBgCka9Ove85gNLD/kjB+WdrAsnVlD204qtHAjYXX5Lt28e2+b3l46cMAVD5Vmdl3zub9998nPj6eihUrMmnSJNOMPzVoX609Oo2Oc6nnOJtyln3xhY1GKzuo0ShA4YABVopfMTExrFmzhk2bNpm+d4qSm5vLP/+IKJpujnBKK5nVPu4CLobBAFevimXZbNR+lESL06dVLcNTqVu3rkuOlz4vpFerVo0tW7aQcU3+UEZGBlu2bKFu3bplNhq1i27d4Ckx8syDD5qFTivQaDQ0qySarSgNgUpi90UhPN9Q7YbSN7Zzp+iYHR4uLn7dkSInHd6EIqTXiayDVuOkj6VyMWyDUFY9XJw0XEgr+YJYQRHSW8S0KHUdRYD9L9E3hXTCwmDCBLH8/vvq1lIWZwrFjWuEdOX/prxnFRThWxHCbUUR4i0R0oc1GYZeq2drNZHP3jlWQ0hQiF3790mU7x6tVgzy2Ei1atU4ffo0U6dOdUxd3s4dd2AMDibs/Hk0mzapXY1j+OEHcT96tLjXauHuQhHz22/VqUliH4pgZuXFsSJolDbluFZELQDiUpzTR2HhepGP7pfqR+OajctZWyU6doTJk8Xyo4+aB7BVRjmH+/uUyD5uVrGZmuVI3BEbhfSurboC4B99/azV2ORY0nLT8Nf5m0w35aEI7vsv7bc779blFMboHV/xPWP/GIsRIxVOVODSgkvo9XqGDh3K4sWLOX/+PB9++CGtWztQtLaSEP8Q2lRpA8DyE8s5nSwEPksHPCzCRiEdhKYTVGTGW0Khux1g9+7dZGdnEx0dTZMmTewuE0Wsl0K6mZQUIaaDXYYcSSGKkO4m5wSeRlRUFNEuGNDxaSFdo9Hw4IMPkp6ezptvvlnsuTfffJP09HTGjx/v3CLeektM77p4EZ54wqZNKEL6kStHSny+wFDAnvg9ANxQtQwh/c8/xf2AAaasNrfDS4X0JhXFF3v9CvWdtxNFLLPhwBLtL15z+krZI6OWCOmKAOuzQjrAk0+Kz9iWLVA43dDtUIT0In0e8g35nEwS3a2vvchRhG97HenK66ODyn+fRgdH07deX/4RCQLcdF7mt9qEMsgWFeW+UUPeSHg4hrvuAkA7Y4bKxTiAixdhXWED4jvuMD9+773ifsUKKKHppMSNMRptdqT36tWLX3/9lenTp5f4fO0IMUh7Mf0iOfk5dpVZEn//J0TgWppaDt+2Q3n5ZejcWczaGDMGCgrUrojmlURj4HyDyMCWjnTJdSjHcivjRVrUFtcH6fnpZOQWN7EpLufmlZrjp7MsGqJJxSb4af1IyUnhTIr1s1uOxB3h3Z/fJb8g3+rX2kNuXi7zksU1U8bWDRiMBsa1HcfHAz7mww8/5Pz58yxevJihQ4eWGpXpapT+XV/s+gKAmuE1LTK9WER6OmRmiuXKlW3ejMFgYPLkyTRs2JAjR4Qu0qBBA+bOncvkyZMtakBYLoojvZTZVj6Jcp4QEgJF4kAlNlK3rrg/dw5yc9WtxQPp1q2bqS+CM/HKK+a5c+cyduxYxo4dy88//3zdY3OL5JE///zztG7dmvfee4/+/fvz0ksv0b9/f9577z3at2/PpEmTnFtsUBDMny/Ei++/h19+sXoTTSuKE9zSHOnHEo+RnptOsF+wSbAtEUVId8NYFxM3FA4EHDkivnS9hLtb3s1D7R5icvfJztuJHdEuUXrRBCvdkE5yenKJ62TkZnDq6imgHEd6oQB7Mumk6SLN56haFe65Ryy7qyu9hGiX2ORY8gyi8VjNiOIzdRTh25XRLiDiXRQhvWO8wXsiMlyJHYNsEvswPP00Rq0W7YoVpobQHsvPP4vPX6dO5osAgKZNxSB4fr6IsJB4Dqmp4v8GVh8fateuzYgRI0p1UVYMrkigXuRun0s9Z1eZJXEo5RAAHat3dPi2HYpeLyJeQkNh0ya3OCdQhHQFxbAjkZiw0ZEeHhBOqH8oAOfTijt6lXiWVpVbWbw9f52/6f2pCPGWkpuXS9uP2vLS4Zdo/EJjsnOzrXq9LaRnpfPApw8Q+mIorwWKuLMWCfBa+2eZPWQ299x9D5MmTSImJsbptViLIqQr5jynuNFDQsSx0EYKCgrYuHEjqampDBs2jJSUFCpVqsS4ceN48sknHVOrjHa5Hnkd4VhiYiAwUJxTnz2rdjUex7Rp09i/fz9vvPEG+fnO05q8UkjfvHkz8+fPZ/78+fz7778AbNmyxfTY5s2bTeuGhISwYcMGJk2axJEjR5g5cyZHjx7lmWeeYc2aNcWmCTmNDh3gpZfE8oQJIl7FCspzpCuxLm2qtEGnLcWxefo0HDwoshoHDrRq/y6lalXxBWYweL7oUITo4Ghm3zKbjjWceMFnh5Bep3IdyBPL+06VfKJ65MoRjBiJCYmhUkjpDpWaETUJ0geRZ8gjNjnW6lq8hmefFfeLF8OxY6qWUiIlRLsoufYNoxteF0FkinbJdEy0i5K5Xh7Dmgxjf1UtOTqIzjLIPDlbUJwk8gTY9TRowPkuXcTytGnq1mIv18a6FEVxpS9Y4Lp6JPajHBuCghzeKFaj0Tgt3iU3L5erISKvdfiNwx26badQrx58+qlYfu012K1uH6CiZgg/rR/1o5w4W1LimdjoSAeI0glzzo6jO4o9bspHtzJ3WxF0rc1Jf+6b58iJELNhToWdot4L9UjNSLVqG5ZyOfkyI6aPIHJyJN8kfUNeeB7n/SExxA+9Ed6IGlH6NbqboAjpCm0qt3Hcxu2IdSmKn58fixYtombNmhw7dox77rkHgxI54ihktMv12BEfKykBjUbGu9jB9OnTadmyJa+//jq1a9dm0KBB3H///TzwwAPFbuMKe1XZilcK6fPmzcNoNJZ6mzdvXrH1IyIi+PDDD4mLiyM3N5czZ84wY8YMwsLCXFf05MmiOdeVK/DII1a5KpUpl/9d+Y8Cw/VTQi1qNKo0AevWzf0PgoWZct4W7+J07BDLtFot+mzREfpQ3KES17Ek1gVAq9HSMFo08PXVhqOAcGnecov4rM+cqXY1xTEYIK5Q2CgqpJeSjw6OaTZqNBqtykgHiAqKYkCLofxbtfCBwoZCEiuwY5BNYj/HR44UCz//7J6DapZw+rT47Gm1MGrU9c/feacYqN+1C44edX19Etuw0XWq8Mcff/DJJ59wRdnONSjxLrZEMpTFkcQj4A+BmkBu7eTGsyyLct99MHKkmAFw993mmAMVaFKxiWmwvGF0Q4tjNiQ+hB3HhvQLYkbxlv1bij2uCOHWOp1taThqMBpYnrkcgMqplSEfLkZepN4r9Ui4mlDOqy3natZVXl31KpXfrczvWb9TEFqANkPLYP/BnHvuPNE9bxYresA1bc3wmlQPq2762aGOdMVEaEesi0JMTAy//fYbAQEBLF26lEqVKrF//367t2tCRrtcj3SkOx5lZqc0iFnNvHnz2LJlC0ajkYsXL7JixQrmz5/PvHnzrrvZg1cK6R6Jv79wavn5CYfqwoUWv7R2RG2C9EHkFOSYmn8UxaJGo54Q66Kg5KTv3KluHZ6GnWJZcH4wAMfjj5f4vElIr1S2kA4yJ93Ec8+J+/nzrZ6J4lQuXoS8PCF8VTefNCsDHyU1gVKE75ScFJsje9Jy00yvtSZ38euhX1O17zDxgxTSrUc60lUltU4dDIMGiUG1995Tuxzb+Okncd+zp5g5di0xMaL/Csimo56EnceGp59+mokTJ3KslAEiZznSt50TvUe61u2Kv5975AuXi0YDs2cLt+N//6F94QXVSgnyC6JeVD1AxrpISsEOIV2Ji4xNijU9lpqTaoqHtNqRrgjpVkS7/Hr4V46nHCciIIKjbx/lvdbvQS4kRiXS6M1GJGclW1XDtZxKOMULq1+g9ke1eXvb2xiDjOjT9NwVfheJkxNZ+tJSqkVXM5vDPOCaVqPRFHOlW/t/KpP/Cq8Ha9RwyOZuvPFGZs+eDUBSUhJjxoxxyHYBsyM9PV3En0mkI90ZSEe6zZw+fdqi26lTp+zajxTS3YnWrWHqVLH8xBOiwYAF6LQ6U/b5tTnpFjUaTU6GDRvE8i23WFu16/HShqNOx04hPUIbAcDpxJJHRi11pINZiD2W6KHuS0fRtSt07Ag5OfDZZ2pXY0aJdalRQ+S3FnIsSfy/ShLSIwMjTctXs67atFvFjR6oDyTYL9ii15w+fZrUhFTqDLhTPCCFdOuRjnTVMbz4olj49lvPzEMsK9ZFQbmQXbhQzHqRuD82NhpVqFYoOJwvZQq84kh3lpDeuUZnh27X6URHQ6FDSjd7NpVVPM9VzuWUPkwSSTHsiHaJCRL53xfTLpoeO3DpAADVw6pbHO2noDijT149SVpOWrnrG4wG3tj4BgCTOk0iMjCS5297ntldZqPJ1pASkUKfb/twOcP65thXUq7Q540+1P+4PtO3TictN42WMS35ot8XpL2TxndPfUdkaKT5BR4kpIM53iXEL4T6FRwY+bR6tbjv0cNhm7zvvvt46qmnAHjwwQcdtl1CQyE8XCzLeBeBdKQ7npdfFiK6og1KLKZ27doW3+xBCunuxvPPi8z0lBQYN87iiBcl3uVaId2iRqMrVoippE2bQoMGdpXvEpSGo8eOib+TxDLsHC2uFChOls+nlnzSYIuQ7vOOdI3G7EqfNct9GuiWkI8ORRzpFa8X0vVavUlMtzXeRclXt8aNPm3aNGrXrs0nOwqzNvfsgawsm/bvs0hHuuoYO3USbu68PPeLeiqPw4dh/34xo27EiNLXu+UWcfEZFwcbN7quPontKK5TG48NipB+oZQp8Ioj3dHRLn/+K2ZZtoqyvGmh29CvH0yaBECLr782N3t1Mc90foahjYdyf5v7Vdm/xM2xw5FeI1y4jq/kmiOfbI11AdG4uFqYONYcSDhQ7vovzn+RgwkHCdWHMrHjRNPjDw16iE0PbqJScCX+vfgvPeb14FyKZaa2/IJ8Hvn8ESq/VZm1xrXgDzU1NVkyegn7HtnHwzc9TKB/4PUvVMxh//0njG1uzpBGQwj2C+bWxrde1yvJZjIyYEthzE/fvo7ZZiEzZ87k9OnTPProow7drox3uQbpSHc8NWqI6/AihjaJeyGFdHdDrxcxD4GBsGoVzJlj0cuaVSy54ahFjUaVfHRPiHUBcdKmTHcpbCYrKQej0e7RYuUk9XL29Q6Nq1lXOZ8mBPbmMc3L3ZYp2sWXM9IVhg0TA1hXr8LXX6tdjeCXX8R9C/OgSGpOKhfThXuopIx0KNJwNMu2hqOmRqNBlr1HjUYjq1atAqBhnz6iSVF+vjwuWIs8AXYPXn5Z3M+ZY3b7eQI//iju+/cv+z0UFGTOT5fxLp6Bgxzp5QnpjnSkH407SrIuGYAbKpcRaejOvPEGxuhoQi9cQKPM9nAxXWt1ZfGdi6kbVVeV/UvcHDsc6fUqidigFKPZDKU0Gm0VY9vgl6XxLvkF+Xy6TzT2bZvblqigqGLPd6nfhU33b6JGeA2OXDlCw2kNWb9vfZnb/PTPT4l4NoLZl2djCDWgS9PxZLUniX01liGNhqDRaEp/cUwMNG4srtMUV7Yb06BCAy4+c5H5w+Y7bqObNgkTQa1a0LCh47aLiKOpU6cOWq2DJS9FSPfEGYTOQBpyJG7AxYsXOXXqVLEGwxs2bOCNN9647vanEmttB1JId0eaNIFp08TyM8+ABfk9pTnSy200mpcHy5aJZU8R0kHGu1hLZibk5oplG8Wy7m26AxBd5/ovyUOXRQPSWhG1CA8IL3dbiqP5YvpFUnN8PF9OpxOfc4APP1TNfWbiv//g99/F8mOPmR5WYnhiQmKKxbgURRHAbXakZ1nnSD9+/DhnzpzB39+f7j16QKdO4gkZ72Idckqme9C3r5hxlZUFH3+sdjWWYTSaY13uvLP89e+9V9z/8oucOeIJONmRXjvSHO1itHAGZnl8v/F7APxT/Klb1UNF4LAwDIXnBbp33hHn6hKJu5CXZ54RbMMgW6OqwoyRpTd/B9jjSAfLG46+8u0rZEdmQw588/A3Ja7TuGJjNt+/maDsILKDsunzXR/+/Od60eV44nFqPVeLJ/c8SWZkJuTAAP0Arky9wsfjP7ZcvB08WNz/9Zdl66tMeEC4YxsQKwMI/fqJmbqeQMuW4n79elXLcBvkdYREZa5cuULjxo2ZMGFCsWPv+vXrmTp16nW3e++9lytXrpSxxfKRQrq78uSTIicsIwPGji03T1RpBnTk8pFiFyPlNhrdvFlMJatUSWQ1ewoelimnOsoXnJ8fhITYtIkOTTsAkMb1+YPWxLqAyNOOCREZiccTS25e6lPcd5/4DMbGmt3gajFjhhDHbrkFmpmbjClCekn56AomR3qmfY50S4X0lStXAtCtWzdCQkKkkG4r0kniHmg0Zlf6Z595RhOr3bvhxAnhNh86tPz1u3UTU1VTU81NziXui5Md6TXCa6BBQ3Z+NpczHTML4+///gagts6+7Eu1MUyYQE5EBJqTJ+UMDol7oRwXNBqIiip73RJoVUe4zguCCsgvyMdgNJgy0m1tYKkI8GUJ6QaDweRGv0l/E/WrlZ7xXTuyNlsf3EpASgCGEAPDFg9j4ZqFgJiF+/TKp2n+eXPOhp4FAzTLbMbBhw6y/JXlxTPQLUER0pcv983+IUWFdE9BOd9ZskR9A5Q7IGe2SlRmwYIFZGRk8N577133nEaj4YcffjDdPv/8c9LS0vjWznMrKaS7K1otfPONED03bSrXnVY/qj5+Wj8y8jI4myqmGVnUaFS5kB0yRDhjPQXpSLeOokKZjaP91cPFNLbzaeevc46ZhPRKlgnpIHPSixEUBI8/LpanT7e4N4LDuXABFiwQyy+8UOwpUz66BUK6rY50a6NdlFiXm2++WTwghXTbkM1G3Ydhw8SstJQU+N//1K6mfJRYl1tuEQ24ykOrhXvuEcvKsUbivtjpSK9atSpQupDur/OnaphYx1HxLkfSRMRhp+qdHLI91QgJ4bjSc+DNN82zCiUStVFiXaKjbbp2bFm3JRo0oINL6Zc4mXSSjLwMAvWBNIy2LdpDEeAPXDqAwViyGP3qwlfJisyCXJj30Lxyt9mmfhsOPnOQkOQQjEFG7l1zL10md6HOh3X48J8PyTPk0a9OP37v/zuH3jtE8zrlR1uWSNeuEBYGCQm+d10bHw8HDohr0z591K7Gcrp0Ee//pCRhSvR1pCNdojIrVqygefPmtGnTpsTn77jjDtPtkUceoUOHDixTUjlsRArp7kzduvDBB2L5pZfgyJFSV/XT+ZlOPpR4l3IbjcbHC7EePCvWBaBdO3F/+rRZJJaUjgOEsiohVQDIzMskPjm+2HPWOtJB5qRfx6OPCkF9zx5Yu1adGj76SFysd+0qThKLoAx4lJaPDg6IdrGi2Whubi7r1q0DigjpN94ohLpz58RNUj5Go3SkuxNarfi+B/H9787xJwYD/PSTWLYk1kVBiXdZuRIuXXJ8XRLHYeexoU2bNvz2228sXLiw1HVMDUeT7W84mp2bTXJIMgAjO4y0e3tqEztgAMYqVcRstXnz1C7HMeTkiAg5iediR6NRgED/QKqEimuK+Ix4k4u8RUwL9FrbGus1jG5IoD6QjLwMTiadvO55g8HAR3s+AqCztjMNa1gm2Deo3oBjrx4j4moEBMBW3VZS81JpXqk5K+5ewar7VjHspmE21WzC31/0GAGPiXdxGH+LGUS0bWvz+0kV9HphIABYvFjVUtwC6UiXqMyBAwfo3Lmzxeu3atWKQ4cO2bVPKaS7O+PHiy/XnBwR/1DG9KGi8S5gQaPRZ54RrrcbbjB/GXgKkZHmhiS7d6taikfgACE9NCAUssXy7mPmv7nRaLRJSJeO9GuoWBEeeEAsv/++6/efnAxffCGWr3Gjg/n/pOTbl4TdzUazLY922bp1KxkZGVSuXJlWrQqbU4WEgLK8fbtNNfgcWVni+wXkCbC7MHq0iD9JSHCfBsQlsXmzGLAKD4eBAy1/XePGIp6toMDsaJe4J3YKZhUqVGD48OHccEPpTT8d2XD0962/gz+QDYM7DrZ7e2pTEBCA4fnnxQ9vvWU+Vnsq6ekiRrJJEyhh+rXEQ7Cj0ahC0Vmu9jYaBdBr9aZrkJLiXaZ+P9XkRv/moZKz0UujWnQ1Tr1xipopNdGl6bg7/G52j99N/wb9ba73OjwsJ91heGKsi8KwYeJ+8WL1ZhK7A/n55p4J0pAjUYmkpCRiYmKue7xnz55Mnjz5usdjYmJISrLN+KcghXR3R6OBr74SwvHOnfD226Wu2rRi8YajZTYaXb0avv9euN9mz/asWBcFGe9iOQ4aKQ7ICQDg8FlzU9tLGZdIzEpEq9GWPPOhFBRBVsnelgBPPy0+kytXwv79rt33F19AWho0bw6DBhV7ymg0WpSRHh1snyPdFO0SXP6JWNu2bfn55595++23izd0kvEu1qEcG/z8LIvmkDgfPz947jmx/P777ttoUBHBR4yAwEDrXjtmjLiX2c/ui4tmq9SOMDcctZdVh0XcV3RWNHqdbc5Wd8Pw4INQvTqcPSuuBzwVg0HEOu0rFDlffFFcf0g8DzsH2ACC84MB2Lxvs92NRhVMDUfjiwvpRqORv9KFQN0jqAeNa5Z+HlsaFcIrEPdBHPkz8ln41EIC/ALsqvU6lMHo3bvh4kXHbttdMRo9W0jv10/MJD5zxnxc80WuXjUv29AzQSJxBIGBgWRkZFz3eI8ePZgyZcp1j2dmZhIQYN9xXArpnkD16jBrllh+4w3YurXE1UyO9CvFHenXNRrNzhYxEiBymctwCrk1SsNRKaSXj4Oyy0IMolHpiUsnTI8pDYIaVmhIkF+QxdtSBNljiceuy1z3WerVg9tuE8sDBkDr1sJh3aqV6BDfsiW0aCFuzZuLW4sW5fZQKJfsbBHrAvD880LML8L5tPNk5mWi0+ioF1Wv1M3Ym5FuTbRLREQEt912G+PGjSv+hBTSraPoIJuN/RMkTuCBByAmRlyg/fCD2tVcT14e/PyzWLYm1kXhzjvF1Ojdu+Hw4fLXl7iejAyzA9oOwWzlypV8/PHHnDhxosTnTdEuKfZHu+RVEYNO9/S8x+5tuQ2BgfDKK2L57bfdO+6pLF55Bf74AwIC4O67xWMTJrjn8U1SNg4Q0pNixXni1oNbTcK3rY1GFUxC+jWO9OUnlvPvpX8J9gvm56d+tmsfTqNyZfN1rZ25vR7D4cNi0CAw8Lo4SY8gONgcyePL8S7KdUREhDivk0hUoEaNGuy3woS4b98+atSoYdc+pZDuKdx1lzjxNBjEfWrqdasUdaSX2Wj0nXfgxAmoVk00MPJUFEf6zp3q1uEJOKiZYJRejDTHXTU7x2yJdQGoG1UXnUZHRl4G59PO21WXV/HCC2KGyMWLwpV+4IC4HTwobocOidvhw+J26BA89RRs2GD7PufPF1nFNWuKWIlrUHLs60XVw0/nV+pm7I52sbLZaIko+Wi7drmvk9edkA2C3JOgIDFDBeDdd8V3vzuxZo0QUypVsq1BWMWKZgeedKW7J8rFsb+/iM2ykXfffZdJkyaxY8eOEp93ZLTLtnPbABjUclA5a3oYDzwAtWqJhuBz5qhdjfUsXCiOYyBc9d9+Kww9RqOYnbJ0qbr1SazDAdEuSkb62eyzpkG0VpVtj3YBs6O9qJBuMBh4ff3rADx646NUCrG9Zqfja/Euihu9e3frZ7W5C0XjXXwVeR0hcQO6devGxo0bOX36dLnrnjx5ko0bN9K9e3e79imFdE9i1iyoU0c0HXrsseuebhTdCK1Gy9Xsq2yK21Ryo9GjR80nsx9/LLJNPZW2bYWD8tw50ThVUjoOEtJjgkT21IX0C6bHbBXS/XX+JnezjHcpQrt2QkBftUrcVq8Wt7//Nt/WrBG3tWvFwJrRKBr4JSdbv7+CApgxQyw/84yIlbgGS/LRwQHNRrMsc6T//fffvPHGGyWPPDdsKKYWZme7Ph7HE5GNRt2XCROEw+fIEeHkdCeUWJdRo2x3IClNR7/7zv0GCiTmY0PFinbNVqlWrRoAFy5cKPF5JdrFXkd6QkYCp66eQoOGjtU72rUttyMgAF59VSxPmwaZmerWYw3//AMPPiiWX3pJnLNoNPDppyLqJT9fHEfWr1e1TIkVOMCRXjtKfO7PBwgjTa2IWkQF2RcLoQjxcSlxXM0ScRPTfp7Gjgs78Nf48+xNz9q1faejCOmrV3t+PwRL8ORYF4UhQ8Qs3n37wAIBzyuRjUYlbsCECRPIz8/njjvuKDP7PCkpidGjR2MwGHjkkUfs2qcU0j2JiAhxwanVCnfH998XezrIL8gkTH67Tzi8ijUaNRrFhXlenshAHjnSpeU7nNBQaCpc+LLhaDk4SCxTmgMl5podxwcv2yakg1mYVRzPkkKaNRMnlv36Qd++4tanj/nWu7e49eolss0bNBD5qUpkkzX89puYoVKhgvli9xosyUeHIo70TOsd6QajwSTAlyekL1y4kClTprBw4cLrn9RoZLyLNThokE3iBMLDRfwaiJlk7hKBlZ0Nv/8ulm2JdVG45RZxXnP2rH0zaiTOQRHL7DxvKE9IVxzpVzKvkJlnu0D86eJPAaisrUxEYITN23Fbxo6FunXF7LH//U/taiwjLk44NnNyxP1bb5mf02pFM+VbbxXHlFtukTNMPQUHONIbVm4IQIG+ALDfjQ4QGRhpGpjbf2k/BoOBd/8R5rEW2S2oHFrZ7n04lXbtoEoV0ZR30ya1q3Euubnm731PFtKjo4WjHtzP8OAqpCNd4ga0bt2ap59+ml27dtGsWTOmTp3K+vXrOXbsGMeOHWP9+vVMmTKF5s2bs2vXLp5++mlat7YvTkwK6Z7GTTfBa6+J5QkTrhv9VOJdfjnyC3BNo9FvvxWOj6Ag+Owz78jDlQ1HLcNBYlm9SmKgJtUoooUMRgOHEg4BNgrphcKs4niW2EBoqBhY0+lE1uh331n+WqPRPEPl8cdLnb5vcqSXI6QrTULTctPIK7AuViUtJw2DUbhSyxLSjUYjq1aJhnL9lWzCa5FCuuVIR7p7M3Gi+M7etUvMRnEHli0T8XI1atiXaxoYCLffLpZlvIv7UdSRbgflCemRgZGE+YcBcDblrM37WX1EuBsjUr1QRAcxW0w5/3/vPSG2uTMZGTB0qBD+W7USn/Fr+q/g5wc//SRMAenpojfMoUPq1CuxHAc40pvVbFbsZ3vz0U3bKRLv8t6v75EemQ558M2D3zhk+05FqxVGN/D+eJd//hHHiJgY0f/Jk/H1eBfpSJe4Ce+//z4vvPACiYmJvPnmm/Tp04emTZvStGlT+vTpw5tvvsnly5d58cUXmT59ut37k0K6J/Lqq0JQT001T4ssRGk4mpojhE5To9HERBHbADB5snC1eANSSLcMBwnpXVt3BSC4cjAAZ5LPkJGXgb/OnwYVGli9vUbRjQAppNtNx46gdKR+9FER/2QJa9bAv/8Koe6JJ0pdTZkxoPy/SiMiIAINYoDuavbVMte9FiXWJUgfVGbT2oMHD3Lx4kWCgoLoUpqIJ4V0y5GOdPemUiV46CGx/M476taioMS63Hnn9cKYtSjxLj//XHJcRW4u7N0L33wjjlFdu4ropptuggULhJNV4hwc5EivXl3MZLt48WKJz2s0Goc0HD2SfgSAzjU727wNt+fee6F+feEInjVL7WpKx2AQ2ed79wqh7M8/xaB/SQQGCidnhw7i+6hfPzh1yqXlSqzEAUJ663rFhXOHCemF29kbv5dpW6cB0MbQhlb17He8uwRfyUlXYl369rX/PEJthg4V95s2mT8bvoR0pEvcBI1Gw7RpFeJyOwAAcndJREFU0zh8+DAvvvgiPXv2pEmTJjRp0oQePXrw8ssvc+TIEd555x00DjAUe/iRy0fR64UDNTwctm6Ft982PaU40hVMjUZffFEc3Js3Nwvq3oDS4XzXLveZ9u6OOGi0uE29NgAk5SVhMBpM+ehNKzZFr7U+J1dxOMuMdAfw0kvmAbZ77xXZ5+Xx3nvi/sEHS70gys7PJjY5Fig/I12n1REZGAlYH+9iajQaXPaJmOJG79mzJ4GlNSfq0EHcnzjhmye11iAd6e6P0rtg/XrYtk3dWtLSYMkSsWxPrItCly6i90t6uhDo//kHPv8cxo+HG26AsDDRD+WBB8RMui1bRC+IbdvgvvuEK/655+DkSftrkRTHRY50sL/haGZ2JqmhwkAysqOHxxaWhV5vHjSfPl1837sjU6aI2Dh/fxEDVbt22euHhcHy5dCihWi03q+faKwqcT+MRodEu9SoWANyzT8rTnJ7UYT0nw78RFpkGuTDV/d/5ZBtu4R+/cT3/fHjcMyLr42KCumeTp060KaNGED0xcbJ0pEucTMaNmzI22+/zZo1azh06BCHDh1i7dq1vPXWWzRs2NBh+5FCuqdSt6642AR44w0hqGN2pAPmRqObN8PcueLB2bNLbCbosbRuLSIt4uPh/Hm1q3FPjEaHjRZXCa2CBg35hnwuZ1y2udGogiLMxibHkpPvA411nIkywBYWJj7zSmRLaezeLaIidDp4+ulSVzuZdBIjRsIDwqkcUn6+pCKEW9twVBHey8tHX7lyJQA333xz6StFRpr7J0hXetlIR7r7U7OmcHeC+q70P/4QLvCGDUWeq71otWZX+rhx0LmzaKY+d66YLZObK3LUe/YUx6lvvxUD5++8A7VqiQu4GTNEn4gBA4Tz1ZJBREn5OCEj3ViK4cHUcDTZNkf6L5t/AT/QZGsYcOMA2wr1FO66Cxo3FsfuTz5Ru5rr+eEHcxb6nDligN8SKlQQDdbr1ROO9JtvNgs0EvchPV0cl8GuQTatVmvquxTsF0z9qPqOqM4kyGcWiBlOrfJa0a6hA76rXEVYmDlz21td6VevmvsheHI+elF8Od5FGnIkPooU0j2Zu+8WN4NB3KekCOG8kDZV2qDLLwClI+2DD9qXZ+qOBAUJBwvIeJfSyMw0n/TaKZb56fyI9IsEYN/pfXY1GgWoHFKZ8IBwDEYDJ5JO2FWbBDHA9tlnYnnq1LIbdylu9DvvFG6KUiiaj27JNChTw9Es2xzpZQnpWVlZbNy4ESgjH11BxrtYhjwB9gyef170NVm6VAwSvfCCcGe7WjRWYl1Gj3Zcn5WxY8V3OUDlyjBwILz8Mvzyi3CaX70K69bBzJkizu6GG8QMnFOnhDt+4EBRy8qVYop13bpipl58vGPq81UcdGyoUaMGv//+O+vWrSt1HZMjPdU2R/qfe/4EIDorGr3O+tlxHoVOJ77fQXwmkpPVrKY4O3aI2SMgZorcd591r69aVQzwV6smstIHDhSzYCTugzLAFhgIwcF2bapRFREX2CKmBTqtzt7KAKgXVY9gXWFd+TD3gbkO2a5L8fZ4l3XrhHbRpImYVeYNKEL6qlUlx9R5MzLaReKjSCHd05k1S4hgsbHw2GOEBYRRM7wmUNho9IMPxMloxYpm4czbkDnpZaN8wfn5ldpM0hqyL4tM2q37t9rtSNdoNDIn3dHce69o4JefLwbYSmpIduIE/PqrWH7++TI3Z2k+ukJ0kG2OdFO0S1DpJ2L//fcfAQEB1KhRgyZNmpS6HiCFdEuRQrpn0KgRvP66mHly9KiIdejaFapUgfvvFy6ojAzn1jB/vohfAMfEuijUqycap1+4IMTvZcuEED5ypHiuNMFep4MhQ8T6J06IY1l0NJw9K3rJ1KwJd9wBZ2zP3fZpHJCDDODv78+wYcPo0KFDqYOxtSOFI93WaJdd8eL8r2WUhzets5RRo0RUY3IyfPSR2tUIzp8XYlJ2tvhcTptm23bq1hWxD9HRwgzQt684HixcCBs3iuudPOuamUscSNFYFzsHUxVHeuOIsmMDrUGr0dKmahsAugR1oX2j9g7btssYMkTcb9zonQNJSqyLt7jRQTRUrlMHsrKEmO5LyGgXiY8ihXRPJyICvvtOXFB+9x189x0dqot84P66RiL2BYRrxVsPcFJIL5uiQpkDHIRhhAFw/PJxjl45CtgupIPMSXc4Gg188YVweRw/XnJsy4wZwg0yaJA4+SuDoo50S1Ac5VZHu2SVH+3Spk0bEhMTWb9+ffnueEVI37FDRj2UhYx28Rxee02Imz/+KOIdIiPFz/PmwfDh4hg/ZIiIU3BkvrDRKESxsWPFcWPcOHN0kqOoXFm4UW2lXj1hFjh3TsS/dO4sBhMXLRIDihLrccIgW35+PtklNIg1NRu1MdolKUQcxwY09/JYF4WirvQPPzQfx9UiM1PMBrl4UQj8ynWJrTRrBitWiJiLHTvEwNi990KPHkJoDwwUA2Vduohj4YsvirjLsmbhSRyDgwbYAEY0GUEFvwr8+vqv/PTTT3ZvT+GdPu8wvt14/pj0h8O26VIaNhS3vDyz6OxNeKOQrtH4bryLdKRLfBQppHsDN90kLrABJkzg86bP8duoXxn48TIxMtqrlzmD1BspKqTLhqPX42ChLNpPfFHuS95HbkEuof6hpotgW1AEWulIdyBRUbBggTix+/LL4id18fFCeAMRD1EOygBHeY1GFUzRLjY2Gy0vI12v11O/vgVZms2bixkYaWlw5IhVtfgMDuyfIHERERHCZf3dd5CQAGvXwqRJQlzKyRFTwR9+GKpXF6LTwYP27a+gAJ54QkStgIhrmDPH7l/DaQQGiviXrVvNs1G2bJGNC23BgYIZwJo1a2jZsiXvlJDzr5xDnEs9R4HBuoHPi2kXSdOloUHDQ4MfckitHsGIEWIgPDVVzD51NXFxopfBHXcIUXv3bvFeWbIEwsPt3/6NN8L27aJx6f33Q+/eoheCv78Y0Dt3TnzOf/hBDKI99phoNP766/JawJk4oNGowvCmwxmbOJbMQ5mMGTPGFN1nC0ajkddff51Tp07Ro04P5twyp9zm9W6Nt8a7nD4tItv0etH7xJtQhPQlS8RAvq8gHekSH0UK6d7CK68IZ0ZaGjEPP8Xw/bloli0TJ5z/+5/jskzdkZYtxe+ZmCincJeEg4X0KiFVADhhFJnmzSs1R6ux/VCiCLRKhIjEQfTqBc8+K5YffFA4xQA+/lgIbp06Qbdu5W7GWke6rdEuiiO9tGgXg8Fg1fbQ6cRFNch4l9JISzOf7MsTYM/Dz098zj/8UFyYHjwomnAqszE2bhQNQd95x7aLuuxsIZLNmiXOIT76SETKaD3k1LFjR3ED0YRUYh0OdqSnpKRw9OhRZs6cyYVrBjaqhVVDp9GRZ8gjPt26bPtt57YB0LJySyKDIh1Sq0eg1QrRGMT3emyscwXktDQhED3xhMg2rl0bxo8Xsz6SkoSw+vvvYlDPUTRtKpz3X38Na9aIWXZZWeJ8Zvt2se8ZM+DJJ0VzUhDrjx1r7g0kcSwOHmCbPn06I0aMIDc3l6FDh3LERuPDu+++y9SpU+nSpQtp3hCHUlRIt/b8151R3OidOokZJ95Ely7i+zIpCTZvVrsa15CTY44VlIYciY/hIVdDknLR60V+YHg4bNsmHFkgpjs2dlz2nFsSEGCOp5DTOq/HwSPFNSNFBn+ONgewL9YFkBnpzuTNN6FNG/EeuP9+SEkRA2sg3OjlDLBdybxiEsQbRje0aJfOaja6YMEC6tevz4wZMyzfqMxJLxvl2BAUZG72KPFMNBoxC+Oll8Q5QFwc3HKLmBr+yisi6uTQIcu3d/Uq9O8vein4+4s4mYkTnVe/sxg6VNz/4aFT/NUiK8vcMM1Bgtnw4cPp0qULmZmZTJ48udhzeq3elJdsbU76+pPrAehco7ND6vQohg6Ftm1FL5S6dYUw1awZDBggZqYo2eKbNgmjSWkDakajEERSU4VQeuGCcI5u2wZvvQXdu4tzyFtvFQ3N//tPDFbfdJMQrpVZH127Ov931mpFb4gOHURW/DPPiIGElStFrJ1OJ2bk9e8vjmMSx+JgIV2n07Fw4UI6d+5McnIyAwcOJN7KRtE//fQTLxfOmnr11VcJ8waBtnt3CA2FS5fg33/VrsZxeGOsi4JeL867wHfiXRSznlYrZkxKJD6EFNK9iTp1zCJZQYGYAvnSS6qW5DJkTnrpODi6oX5M8VgNe4X0hhWEQJuUlWR1HIikHAIC4PvvRdzBypWiaVdKinCT3XpruS9XZgnUDK9JsF+wRbtUptLa3Gy0lKm4q1at4tSpU6SkpFi+USmkl43MR/deatYU4vGCBSJLfdcu4U5/993y3ennzonZKhs3isH5FStEA2NPRJlqvXatdzZtcxbKIJte75iYDkRz8ffffx+Ar7/+mgMHDhR7vnaEbQ1H5/09D4CINB+8iNdohIhcqzBeLyNDRJmtXCkimJRs8e7dxTVCQABUqyb6EURHC6HO31+IIIGBQgipVElEQ9WrZ46O3LRJHDfq14cJE4TzPDFRCOhTpoj19HpV/xSAGDxYulQMKKxfL+o6dUrtqrwLB0a7KAQFBfHnn3/SsGFDzpw5w+DBg0lPT7fotVu2bOG+++4DYNKkSTz22GMOq0tV/P3NYrO3xLsUFIiZJeCdQjoUz0n3hYgp5VwhKspzZitKJA5CvuO9jbvuEieSAQEiGzkwUO2KXIMU0kvHwWJZk+pNiv3cMqalXdsL8Q+hZrhwuUtXuhNo2lRMfQbz5+P55y064bE2Hx3saDaaWXqzUYPBwOpCF0v//v0t36gipB8+LAYQJMVxQjNBiRuh0QgR7dAh0YQ0N1cMrnfpIj4TJXHokNm9XrWqENB69XJt3Y6kSRPRtC03VwwISCzDwU3KFTp37sxtt92G0Wjk+eefL/acqeFoiuURfelZ6aSFiQGS3g17O6xOj6JbN+E2z8oS0Sd//w1ffSUE7rFjxee3fn0RBWUwiFiU+HhxbpiRIWatXItOJ2YpxcSILPYvvhDxUSdOiKaew4a5r/twwAARq1CjBhw9Ks4D5GC643CwI12hYsWKLF++nEqVKvHvv//ygQW5/ydOnGDo0KHk5OQwdOhQ62YsegJDhoh7bxHS9+wRs0QiIqB9e7WrcQ79+olj55kzsG+f2tU4H9lnSeLDSCHdG/nf/8T0TG9r4lEWipC+e7d3Zck5AgcL6e2bFD/5sdeRDjIn3ek8+igMGiSWq1eHu++26GXW5qODc6Jd9uzZw5UrVwgLC6OjknlsCTExwlVnNMrYp5KQQrpvUK2ayAifN09cwO7YIdzp771X3J2+ebOIZjh3TgjQ27aZY9M8FY3GHO/iK1OtHYEiljnh2DBt2jT8/PxYsWIFf//9t+lxRUi3xpG+aNMi0IMmS0O/dl7qcLSUwEAxE7VPH3jgARG58s03YjbGiROi58H582JAfe9eMZh24gScPSviI5KTRZxPfr64ZWaKx3/9VRh06tVT+Re0glatRIZ627bCQd2rF/zyi9pVeQdOcKQr1K9fn6VLl/Loo4/yUjkzqpOSkhg8eDCJiYnccMMNfPfdd+h0OofXpCrKefvOneKz6OkosS69ernHDBZnEBwsYqXAN845ZKNRiQ8jhXRvRKMRU8J8iWbNxEVESopwzUjMOFgsq1OpDn5aPwAqBlckJiTG7m02qiBz0p2KRiNEtIcegvnzLT4+2CKk29Js1GA0cDX7arHXF2XlypUA9O7dGz8/P4u3C8h4l7KQ0S6+g0YD990nnOaDBok85BdfFML50aPw228i+ik5WTjSN28WzQS9AWWq9bJlJbtvJdfjxEG2Bg0a8OijjwLw+++/mx5Xol2scaQv2bMEgEo5ldDKaeVlo9WKQbUbboDWrcVstfr1hXM7JkYMsgUFCTe6N1CtmoinGjJEDCKMGgXvv+8bcQvOxEmOdIUOHTowa9ascs/18vPziYyMpGbNmixZsoSQkBCn1KMqVaqIzyvA8uXq1uIIvDkfvShF4128HelIl/gw8qxT4h34+QnnCUjn6bU4WCzTaDRUC6sGCDe6xgHTvhVHuhIlInEClSrB7NnCrWYhygwBpSGsJSiO8vTcdHILci16TUp2Cgajodjri7Jq1SrAylgXBSmkl450pPse1auLDOFvvhHC2fbtoiHxbbcJcf3WW0U0hDe9Jzp1Ese/5GQhrEnKx8li2WuvvcbSpUv57LPPTI/Z4kjffWk3AK0qePjMCYlzCA0VYtYTT4ifn39eZLyX1ydCUjpOPjYUJT8/n8cee4wFCxZc91xMTAzr1q1j7dq1VK1a1em1qMbgweLe0+NdMjNFTwXwfiF9yBAxILlvn2ja7M1IR7pHM2vWLOrUqUNgYCAdO3Zkx44dZa7/888/06RJEwIDA2nZsiXLli0r9rzRaGTy5MlUrVqVoKAg+vbty/Hjx4ut8/bbb3PTTTcRHBxMZGRkifuJi4tj8ODBBAcHExMTw3PPPUe+G35vSyFd4j3InPSScYLrNEwTBkB0vmPEFsXxLB3p7kOBoYATSScA6zLSIwIj0GrEV4ulrnRlvRC/EAL0AcWeS0tLY+vWrQDcfPPNFtdhoqiQLp1oxZGOdN9EoxHZyQcPijzhnBzx2XjoIRHjEGxZY2GPQaeDW24Ry77gEHMETh5ki46OZvDgwcUG4mtHWtds1GAwcF57HoCBLQY6vkiJd6DTwSefiKasGo0wFAwZIiIwJdaRn28+b3BCtMu1LFy4kM8//5xx48axprBJ5f79+03PBwcH06BBA6fXoSqKkL5ypej14als3Cjqr11bRFB5M9HRosEziKbv3ox0pHssP/30E08//TRTpkzh33//pXXr1vTv35+EhIQS19+6dSujR49m3Lhx7Nmzh2HDhjFs2DAOHjxoWmf69Ol88sknfPHFF2zfvp2QkBD69+9Pdna2aZ3c3FxGjRrFhAkTStxPQUEBgwcPJjc3l61btzJ//nzmzZvH5MmTHfsHcABSSJd4D1JILxknjBbnnMsB4K8v/yqWcWorilB7IukEBYYCu7fnbhiNRtacXsPpLM9xJsQmx5JnyCNQH2hyClqCVqMlKjAKsFxIV/LUS3KjZ2ZmMn78ePr06UP9+vUtrsNE69ai+XJioox9uhbpSPdtatQQcSc//wzffisaCnprbqky1fqPP+SAmiW40HWalJTEmjVrTE3Hk7OTSc0pW+RMz02n2yfdMIQZIB/u6nGX0+uUeDhPPikG0oKDhSjZs6eIfJFYTlKRczoXDMCPGTOGO++8k/z8fEaMGMGUKVNo3bo1U6ZMwegrx/EbbxTRS2lpInLNU1FiXfr2dWgDa7fFV+JdpCPdrUhLSyM1NdV0y8nJKXXdDz74gPHjx3P//ffTrFkzvvjiC4KDg/n6669LXP/jjz9mwIABPPfcczRt2pQ333yTdu3amWYWGo1GPvroI1599VWGDh1Kq1atWLBgARcuXGBxkc/B66+/zlNPPUXLli1L3M+qVas4fPgwCxcupE2bNgwcOJA333yTWbNmketmg4lSSJd4D4qQ/u+/UOB9YqxNGI1OGS3+bcJv1N9dn+yd2fTv358ZM2bYdVJbM7wmAboAcgtyiU2OdVid7kBCRgIjF41k4A8Deea/Z3h53cvk5Jf+xeYuKLMDGlZoaHKYW4qp4WimZQ1Hy2o0WrlyZWbNmmX7gI2/vzljUsa7FEc60iUajYh1uece77647dtXCGhnz4pGi5KycdEg29GjR6lfvz7Dhw8nOzXbNAhbliv9vyv/0XFuR7ambEVj1HBfpfuoUqGKU+uUeAm33iqcsRUrwp49YgBRYjlKo9EKFVwy6KrVapk3bx7du3cnNTWVN954A4Ds7GyHxEp6BFqtuemoJ8e7+Eo+uoLS5HzTJvPAtDciDTluRbNmzYiIiDDdpk2bVuJ6ubm57N69m759+5oe02q19O3bl23btpX4mm3bthVbH0TkqrL+6dOniY+PL7ZOREQEHTt2LHWbpe2nZcuWVK5cudh+UlNTOXTokMXbcQVSSJd4D40bQ0gIZGTAfzIiBBCZdMronQPFshb1WnBw0UHGjhmLwWDgueee46677iIjI8Om7em0OhpGNwS8Kyf99yO/0+LzFvx+9Hd0Gh0GDMzYNoP2X7Znb/xetcsrE1vy0RWig61rOKqsp7zO4SjxLlZ8kfsE8gRY4isEBYESDeXtU60dgXJscLIjvVGjRtSrV4+0tDTeeOMNU7zLmeSSG45O/XEq7b9sz+HLh6kaWpWN929k3pPznFqjxMu44QZ46SWx/P770nhjDS6cqaIQEBDA77//TpMmTQAYOXJkqeKQ1+LpOenx8XDggBist6JPk0dTu7bo3WYwiL403oqMdnErDh8+TEpKiun2kvJddw1XrlyhoKCgmFgNwrwWHx9f4mvi4+PLXF+5t2ab1uyn6D7cBSmkS7wHnQ7atRPLMt5FoHzB+fmJQQYHEhgYyNdff82sWbPQ6/X8+OOP3HTTTcTGxtq0PW/KSU/OTua+xfcxYtEILmdepmVMS/554B9erPMilYIrcSDhAB2+7MDbG98m3+B+zTPAPKCh/F+sweRIz7LMka441691pCckJLBp0yby8vKsrqEYsuFoycgpmRJfwlemWjsCRTBz8sWxVqvl/fffB+CLL76ggk4ci651pOfm5dJlchde/+910nLT6FarG/8+/C9da3d1an0SL2X8eIiMhOPH5fHAGlQQ0gEqVKjAli1b+O233/juu+/Qan1MvujXT8wA+O8/z4woVGaUtm3r8veOqvjCOYe8jnArwsLCCA8PN90CAgLKf5HEZnzsm6hsdu7cyaBBg4iMjCQkJIROnTqxaNEitcuSWEP79uJ+505163AXijpOnTANUqPR8Oijj7J27VpiYmJITEwkMDDQpm0pzmfFCe2prD65mpb/a8mCfQvQarS82OVFdo7fSevKrekU2Yk94/cwvMlw8gx5vLruVbp+3dUtf2dlQMOaRqMK0UG2OdIrBBY/Efv999/p3r07gxU3jq0oQvq+fWKWhkQgnSQSX2LwYDFNft8+sHHA12dwkSMdoHfv3gwaNIj8/Hxi98YCxYX04+eOU+35amzViabTbbLbsOruVVQJlXEuEhsJC4PHHhPL770n+yZYihLt4oJGo9dSoUIFhg8f7pvCUEQEdOsGgHb5cpWLsQFfi3VRUIT0Vau899pDXkd4JBUrVkSn03Hp0qVij1+6dIkqVUo+t6pSpUqZ6yv31mzTmv0U3Ye7IIX0QtatW0eXLl3YvHkzt99+O4888gjx8fHccccdzJw5U+3yJJYiG44Wx0UZyN26dWP37t0sWbKk2EHOmtx0xfl8LMkzo10ycjN4fNnj3LzwZs6lnqNBhQZsun8T0/pOI0BvPvGPCYnh19t/ZcGwBUQERLD9/Hbazm7LJ9s/wWA0qPgbFMckpNvhSLe22ei10S6rVq0CxPvLLmrUgGrVxBTu3bvt25a3UFAAV6+KZXkCLPEFKlaEroUO5j//VLcWd8dFjnSF6dOno9VqObXnFABnUkS0y3drv6Ppx01JjEyEXHi8yuPsmbaHQH/bBuwlEhNPPgmBgcJ4s3692tV4Bio50iWY4l00y5apXIiVGI2+K6S3bAl160JWlhDTvQ2jUTrSPRR/f39uuOEG1qxZY3rMYDCwZs0aOnfuXOJrOnfuXGx9gNWrV5vWr1u3LlWqVCm2TmpqKtu3by91m6Xt58CBAyQkJBTbT3h4OM2aNbN4O65ACulAfn4+48ePR6vVsnHjRubMmcPMmTPZt28fjRo14uWXX+bMmZLzGiVuhiKk790L9sZBeAMubCZYo0YN2rZta/r5+++/584777Q4N11xPrujO7s8tp7dSpvZbZi1cxYAj7V/jL0P7+WmmjeVuL5Go+He1vdyYMIB+tbrS1Z+FhNXTKTft/3KbLLmKtJy0riQdgGwLSPdEc1G8/PzTV/G/fv3t7qGYmg0Mt7lWlJSzC68qCh1a5FIXIUvTLW2l9xcSEsTyy4SzJo3b864ceMgRfwclxLHg589yD3r7qEgtAB9qp5fBv7Cpw9/6pJ6JD5ATAw88IBYfvdddWvxFFR0pPs8ipC+cSO6rCyVi7GCI0fg4kUxaNWli9rVuBaNxrvPOTIyICdHLEtDjsfx9NNP8+WXXzJ//nyOHDnChAkTyMjI4P777wdgzJgxxTLWJ06cyIoVK5g5cyZHjx5l6tSp7Nq1i8cffxwQ2sakSZN46623+PPPPzlw4ABjxoyhWrVqDFM+B0BcXBx79+4lLi6OgoIC9u7dy969e0lPTwfg5ptvplmzZtx7773s27ePlStX8uqrr/LYY4+53YwkKaQDa9eu5eTJk9x11120adPG9HhERAQvv/wyubm5zJ8/X70CJZZTv76YApedDYcPq12N+qg0UpycnMyjjz7KokWL6Ny5MyctyPRTBNvzaedJz013dokOISc/h5f+folu33TjRNIJaoTXYNU9q/hs0GeE+JefSV8zoiYr71nJrEGzCPYLZu3ptbT8X0vm7Z1nlZvf0RxPOg5ApeBKRAVZL7Kaol2yrWw2GmQ+EduxYwcpKSlUqFCBG264weoarkMK6cVRjg1hYeDvr24tEomrGDpU3G/caB5olhRHOTZotSJH2kW8/vrrBOcFA7Dt3Da+SvwK9BCTHMOJ508wsutIl9Ui8RGeeUa8z1etgj171K7G/ZGOdPVo3Bjq10eTm0ulffvUrsZyFDd69+5CTPc1FAFxyRLId8+eWDbz1Vfivlo1CA1VtxaJ1dxxxx3MmDGDyZMn06ZNG/bu3cuKFStMjT3j4uK4ePGiaf2bbrqJ77//njlz5tC6dWt++eUXFi9eTIsWLUzrPP/88zzxxBM89NBDtG/fnvT0dFasWFEs9nfy5Mm0bduWKVOmkJ6eTtu2bWnbti27CtMkdDodS5cuRafT0blzZ+655x7GjBnDG2+84aK/jOXo1S7AHVhfOKXv5ptvvu45xQm5YcOGUl+fk5NDjjIiB6QVOnny8vLsb5InsRpdu3Zo160jf/t2jG42BcTVaC9fRgcYoqIocOF7MSQkhMWLFzN69GgOHDhA06ZNCSnS7HTevHkMGjQIgF9++YVHH30UAM1DGozBRsKmhqExikz3oOAg/AuFvry8PDIzSs+ZCwoKwj9ArJufl1+mGz4wKNA0spmfn09GehnrBgYSECjWLSgoID1NCP1GnRH8xDp+h/1I3ZDKlpQt9HylJwAnT54sNp0pLy8PPz8/08/jx4/n7bffZnyb8TQLbEbfz/qSWi2V+/+4n/sX3W/6G4CYhhUUHCT2azSSmpIqnjBCwK4AAnebv6RGjBjBF198Ydpn9erVS/3dBgwYwIIFC0w/V6tWjcz6mTAQko4nEVXErdy9e3d++eUX088NGjQgNTX1um3mNs6FgXAl44rpGNiqVatSu23n358PERDuH05eXh4dO3bk6NGjgMjPNRgMGAz2xd5o2rdHDxi3bSM/N9cpPQM8CU1Cgvh7VKhAvvyeUg3l8yHPFVxEzZromzdHc+gQ+X/+ifHuu9WuyP2Ij8cPMEZFkV9QIGKgXEDFihX5Z8U/tFrQCoPRgAYNPYw9WDZtGXqd3uc+I/LY4AJq1kR3221oFy3C8O67FCxcqHZFbo3u8mW0QH5kJEb5vnQ52oED0X32GZV37/aY44Ju1Sq0QEHv3hg8pGaH0r49+ooV0Vy5Qv7SpRjt7fnkLiQloX/9dTRA/quvYvS2QQIPI9/Gv//jjz9ucpRfy/oSIs9GjRrFqFGjSt2eRqPhjTfeKFP0njdvHvPmzSuzrtq1a7PMA2KspJAOHD8u3JcNGza87rkqVaoQGhpqWqckpk2bxuuvv37d4xs3buSwdEW7nGaRkTQEzv7+O/sLR9V8lZb//EM94GRKCodVOCC98847vPfee/z3338kJyebHv+niCt4586d5udOAK2AADAiHNmZhkwys4uI52UYGjKNlq+bZcwiKzvLsnUpY90MYAnkHc0jjzwOHTpkOvhfuHCh2O99LUeOHDGtm5iYSMGXBdAF6EmxvwFADjnkZJsH7IrWkN08m+w12aafT5w4Ydpufn5+mTWcOnWq2JfV1atXKQgQwklBQkGx1545c6bYuleuXCGzpAY6haal2EuxpvUTEhJKrUOvEV9F/+39j2UnlhEfH09W4dTVBg0aOOTLVJeTwyCdDu3Fi6xdsIBsH5+aHLNrF52BFJ2ODR5wsuLtrFZcWxKn06RZMxofOkTCnDnslLFG1xF94ABdgfTAQNa6+NhgMBqoEVCDlPwUJtWexA3hN7BqpRdmy1qBPDY4l4hOnei5aBGaX35hfe/eZLpZMzN3osfJk0QCO2NjSZDnDS6nUnQ0NwFVdu1i5cqVYjaFG6PJy2PQ2rVogY0BAaT66Hum+U030eDPP8l96CHWffIJ+UFBapdkN82//poGV6+SWqsW6ytXxuij/1t34YoyW0jiUjRGNfMD3ISbb76Z1atXc/z4cRo0aHDd89WrVyc9PZ2UlJQSX3+tI/38+fM0a9aMY8eOUadOHWeVLSkFza+/oh89GkO7dhT4eIyDrk8ftJs2kT93LsYxY1SpwWg0cvr06WKjpdWqVSO0cBpYamqqyalsMBo4l3GuWNPNihUrmtbNzMws1nziWoqum5WVdV3X56JUqFCB8PBwQHyGi05fupbIyEgiC6e45+TmcPGCed2qwVUJ0JkzuypUqEDFwmmvubm5xMbGAkLQ3rJlC126dEGv15u2GxMTAwjX2enTp8XfJDeVpJzisQOhoaGm7RoMBuLi4kjKSWLM+jHoNXp2Dd+FXiu2GxYWRtWqVQHx9y9rIDAkJKSYY/3YsWO8uvNVFp9ZzBPNn+Dhpg+bngsODqZGjRqmn0+cOFGiU/xg0kHuXHsnNcNrcvJxEetz6tSpUkfMu/zZhZTcFPaO30uzSs04ffo0eXl5xX4PR6Dr1Antv/+S//33GG+7zWHb9UQ0Cxeif+ABDH36ULB8udrl+Cx5eXmsXr2afv36FZutInEemt270XfujDEkhHwlu1ViQvPbb+jvvBND584UlDEb01lk52djNBoJ8vN8scEe5LHBdegGD0a7ejUFjzyC4ZNP1C7HbdHXr4/m7Fnyt2zB2L692uX4Hjk56KtXR5OaSvaqVeh69lS7ojLRbNyIvm9fjDEx5MfFub3w7zTS09G3a4cmNpaChx/G8KmH9/o4cQJ969Zo8vLIX7IEo719rCR2c/78eerWrcvZs2eLXadLnIt0pDuAgICAYuH3StSBn5+fPPlVg8IsZO2BA2gNBnCzxgQuw2AQTVcBfYcOoOJ7sXHjxqU+Fx0dTXSRJiUtaVn2xupZseO6Vqxb24p1a1m2mp+fH82bNwfERXFsbCzNmjUr8bhQdF1LaFmtJQajgQc3PUhuQS4RNSOoE1mnxHWt2W7z5s1J3CEycjs37lzma5s2bVri40FXg2AtJGYlmn7X0t4DBYYCUn8Rx8zK4ZXx8/OjUSPrG5xaROfO8O+/6HftgtGjnbMPT6Hwe0pbsSJa+T2lOvJ8wYV07AjVq6M5fx6/TZugMGZMUkjhzCFtpUqqHBvk56A48tjgAl58EVavRjdvHrrXXxeNSCXFMRpNzUb1Vaqoek3hs/j5YRg+HM38+fgtWoSuXz+1KyqbP/8EQDNgAH6+ei0OEBUl8sT79EE3eza622+H3r3Vrsp2XnsN8vLg5pvRDxmidjUSMBn0JK7FR4cGixMREQFQquM8NTXVtI7EA6hdW3SPzsuDAwfUrkY9Tp6EtDThtitF8JR4NlqNlrqRYrTgZFL5DV0t5dTVUwDUr1DfptcrTUMz8zLJzs8uc92UnBRThE2FICc3xZUNR80oDQWLDGJJJD6BRmNuOvrHH+rW4o7IY4PE1+jVC9q3h+xskI70ksnMFH8fAB+PxlMTw113AaD99VcoMhve7TAYQOmpVEamss/QuzdMmCCWH3hAXJ97Ips3w6+/itkFM2aoXY1EoipSSMecjV5S/EF8fDzp6ekl5qdL3BSNBm68USwXdgD2SfbsEfctW4IcqfRa6kUJi74ifttLdn4259POF9u2tYQHhKPT6AC4mnW1zHUTM4VoE+ofir/O36b9WYwipO/eDbm5zt2Xu5NUGB1UwcmDFxKJO6II6X/+KS74JWYUIb0wSkwi8Xo0GnjhBbE8a5bnilzORMng9feHwghFiesxdu9OVoUKaK5eBXeO5du6FS5cgIgIcHfnvKuYPh3q1IEzZ8zHG0/CYIBnnhHL48YJfUEi8WGkkA706NEDgFWrrm9otHLlymLrSDwEKaTDv/+K+3bt1K1D4lQcLaTHJscCEOYfZnKWW4tGoyEqSDTxS8xKLHPdpCwh6DrdjQ5Qv75wWebkwPbtzt+fOyNdpxJfpmdPCA+H+HjYsUPtatwLRTCTxwaJLzFsGDRsKKKNvvxS7Wrcj8JYFypVEgMPEnXQ6TjfrZtY/u47dWspi0WLxP2wYb4bsXotoaEi4gXgf/+DtWvVrcdafvxRnC+FhsIbb6hdjUSiOlJIB/r06UO9evX4/vvv2VuYKQ0i6uWdd97B39+fMSo1apTYiCKk79ypbh1qIoV0n6B+lIhfOZXsGCFdiYipF1UPjR0XS4oIrwjlpaEI7baK9lah0cCAAWJ5wgQxVdlXkY50iS/j72/ORpfxLsWRjnSJL6LTwXPPieUPPpCz1q5FGWCTxwXVOauY+5YsgVJiaVWlaKzL7berW4u74akRL1lZ8NJLYvmFF6BKFXXrkUjcACmkIwL6586di8FgoHv37jz00EM888wztG7dmmPHjvHOO+9Qp04dtcuUWEPHjuL+wAE4e1bdWtTAaDRHu7Rtq24tEqeiONIdlZFubz66guIwV6JbSsOljnSAmTPFCeChQzBxomv26Y5IR7rE11HiXRYvVrUMt0M60iW+yr33ivOD8+fh++/Vrsa9UBzpUkhXndS6dTE2bSpmV/76q9rlXM+WLXDxIkRGQt++alfjfnhixMvHH0NcHFSvDk8/rXY1EolbIIX0Qnr16sXmzZvp0qULP/30E//73/+oXLkyP/74I88oeVASz6FqVejRQwjK336rdjWu59w5cTGs08kMMy/H0dEuynbqRdqWj64QHWyZI115Xlnf6VSuLKbDajQwd67vXiwrQrp0pEt8lYEDwc8Pjh6FY8fUrsZ9kI50ia8SGAiTJonl6dNl/4SiKANsstGo+mg0GEaPFsvuGO9SNNbF38m9jzwRT4t4SUiAd94Ry9OmQXCwuvVIJG6CFNKL0KFDB5YvX05KSgqZmZls376dO+64Q+2yJLYydqy4nzdPCOq+hBLr0ry5uDCQeC11o+oCcDX7armNPS1BiYixtdGoguIwLzfapdCxXiHQhYJu797w2mti+eGHoYRG016PEu0iXacSXyUiAnr1Essy3sWMdKRLfJlHHhH9E44cgaVL1a7GfZDRLm6F4c47xcK6dWIGhbtQUCBjXSzBkyJepk4V9d1wA9x9t9rVSCRugxTSJd7LyJFi1PT4cfjnH7WrcS0y1sVnCPUPpXJIZQBOJ5+2e3smR7q9QnqhMO5WzUaL8tpr0L07pKfDHXeIKbK+Ql4epKaKZSmWSXwZJd5FCumC/HzRbBHksUHim0REmAWud9/1PSNOaRRtNipRnzp1oGtX8f784Qe1qzGzZYto4h0ZCX36qF2Ne+MJES+HD8OcOWJ55kzQSulQIlGQnwaJ9xIWBrfdJpbnzVO1FJcjG436FI6KdzEajQ4T0i2Odsl2cbSLgl4vYl2io8XAk9JkzBe4WjhzQaMRFzsSia9y663ifutWuHRJ3VrcgaQix2sZ+yTxVSZOFJEU27bB5s1qV+MeSEe6+3HPPeLeneJdlFiX4cNlrEt5eELEy3PPiVkGQ4eKyFyJRGJCCukS7+a++8T9Tz+JjtO+giKkS0e6T+CohqOXMi6RmZeJVqOldmRtu7ZlajZajiPdFO3iakc6iKY5CxaI5U8/hd9/d30NaqAIhpGRoo+CROKr1KgBN94oXH0yxsGcjx4ZKQYbJRJfpGpV8/XDe++pW4u7IJuNuh+jRok+H3v3wqFDalcjY11swZ0jXv7+G5YtE+cC06erXY1E4nZIIV3i3fTsCbVqQUqK70zdTkgw5+W1aaNqKRLX4ChHuvL6muE18dfZ5ySJDrKu2agqQjrAoEFmN/oDD0BsrDp1uJJNm8S9bEQskch4l6LIRqMSieDZZ8Wsrb/+goMH1a5GfWSzUfejQgXRNBvcw5W+ebMwakRFyVgXa3DHiJeCAnjmGbH86KPQqJG69UgkbogU0iXejVZrdpXMn69uLa5CyUdv1EjE20i8nvpR9QFzo1BbcVSsC1jRbLTQsa4I76rw9tvQsaPIBr7zTpEh7s2sWiXu+/dXtw6JxB1QhPTVqyEjQ91a1EY2GpVIBI0awYgRYlm6MWW0i7uixLt8/z0YDOrWUjTWxc9P3Vo8CXeMeJk/H/bvF7PTJk9WuxqJxC2RQrrE+xkzRtyvWgUXLqhbiyuQsS4+h6Mc6Uo0jCOFdCW6pTRUd6SDOOH/8UfRZGz7dnjlFfVqcTZ5eeaT9JtvVrcWicQdaNEC6tWD7GzzIJOvIh3pEokZxR36/fdw4oS6tahJQYH52CAd6e7FkCHCNHXmjGj0qRYFBfDrr2JZxrpYz7URL3Fx6tWSng6vviqWX31VDqxLJKUghXSJ99OggehsbjDAwoVqV+N8FEe6bDTqMyjC95nkM+QV2O6mVhztisPdHixpNlpgKCA5O7nY+qpRpw58/bVYfv99WL5c1XKcxj//iAzG6Gh5jJBIQMQ3KK50X5m5VhrSkS6RmGnfHgYMECLh1KlqV6MeV6+KPhIgjw3uRlAQ3HabWFYz3mXTJhHrUqGCEIUl1lM04qVFC5gzx/y5cyXvvw8XLwqDweOPu37/EomHIIV0iW+gxLvMm6fOl5IrURzpUiTzGaqGVSVAF0CBsYCzqWdt3o4zol2y8rPIyiu50e/V7Kum5ajAKLv3aTcjRphPGseMMfca8CYUx22/fiL6SiKRwP33i8a7f/wBf/6pdjXqIR3pEklx3npL3H//PRw4oG4taqE0Go2IkJEd7sjdd4v7RYsgN1edGmSsi/2EhoqIuZtuEoaXhx8WM0dd2bvp5EkhpAO8+y4EBLhu3xKJhyGvoiW+wahRYtT+yBHYtUvtapxHSor4EgQZ7eJDaDVah8S7OFJID/MPQ6/VA6W70pXHw/zD8NO5yYn3+++Lz86VK3DXXZCfr3ZFjmXlSnEv89ElEjMtW4rmgiCmV6ekqFuPWkhHukRSnBtuEI5foxFee03tatRBNhp1b3r2hKpVxcwBNWZT5ufLWBdH0aABbNwIH3wAgYHw99/i/OSLL5yfgW8wwLhxkJUFvXqZZzpIJJISkUK6xDeIiBCj5CBc6d7K3r3ivlYteSHsY9grpGflZXEh7UKxbdmDRqMpt+Gokp+ueqxLUQID4aefhDNk40Z48021K3IciYnmgcR+/dStRSJxN6ZMgYYNRS8VJRvZ11Ac6fL8QSIx88YbYgbXH3+IPiq+hmw06t7odML4AerEu2zcCAkJItalVy/X79/b0OngqadEs8+uXUVm+YQJ4rz99Gnn7feLL2DDBggOhrlzReydRCIpFSmkS3yHsWPF/Q8/QE6OqqU4DRnr4rMo4rfSMNRaTieLk7OIgAiHNf40NRzNKrnhqFs0Gi2Jhg1h9myx/Oab5gEqT2fNGuGqa94cqldXuxqJxL0ICoIvvxTLs2eLC0pfQwpmEsn1NG0q4t7Au5uRl4YS7SId6e6LEu/y55+un1H188/ifsQIGeviSBo2FOchH38szk/WrhXu9FmzHO9Oj42F558Xy+++K/LRJRJJmUghXeI79O4txKOrV2HJErWrcQ5Ko1EZ6+JzmBzpybY50ovGumgc5EKIDiq74ajyuLKeW3HXXeKiwGiETz9VuxrHIGNdJJKy6dEDHnpILI8fL6Y4+wo5OcIBB1C3rrq1SCTuxpQpQiRcs0bcfIndu8V97drq1iEpnTZtxIBPTg789pvr9itjXZyLVgtPPim+m7t3h4wM0cupd29zlKu9GI3ivCcjQzjgH3vMMduVSLwcKaRLfAedzuwo8dZ4F+lI91nqR9UHbI92cWQ+uoLJkZ5ZsiNdcaq7nSNd4amnxP3330NSyYMBHoPRaG40evPN6tYikbgz06eLvNnjx0Wkg6+waZOYQl65shBlJBKJmTp1RPM/EK50o1HVclxGQQEsXiyWb71V1VIkZaDRwD33iOWFC1233w0bxIyF6GgZ6+JMGjSAdeuEsSckRPzdW7WCzz6z/1j01VeiyWlgIHz9tRDvJRJJuchPisS3uO8+cb9iBcTHq1uLo8nMFM1UQQrpPoi9GelKJIwjhXQl+7w8R7rbCuldukDr1pCdDd98o3Y19nH0KJw7BwEB0K2b2tVIJO5LRAR8/rlYfv9974l2Ko+//hL3gwbJC2mJpCReeUVELGzf7r0zW69l61aRfx0ZKZpaStwXJSd93To4f941+ywa66LXu2afvopWK9zo+/eLQYvMTHjiCdEo3VYx/dw5eOYZsfzWWyJORiKRWIQ8U5b4Fo0bQ6dOwmGhRkMWZ3LggMhMi4kRbjqJT1E3SkzFT85OLlW4LgslEkZxtjuCCoEWNht1x2gXEA4fZYrj5587PpPQlSixLt27i0ZCEomkdIYNg9tuE+cK48aJ6evejiKkDx6sbh0SibtSpQpMnCiWX3nFs88JLEWJCbn1Vpl/7e7UqSOiOYxG+PFH5+9PxrqoQ7168PffMGOG+PmDD0T8i7ViutEoZtmkpkLHjjBpksNLlUi8GSmkS3wPpenovHneNTWzaKyL7LTtcwT7BVMltApgmyvdqdEupTUbzXZzRzoIh09EBJw6JWayeCoy1kUisY5PP4WoKPHd+uGHalfjXI4fFzc/P+jXT+1qJBL35bnnxDnBwYOuESvVxGg0C+kjRqhbi8QylKajroh3Wb9eNKiuWFHOVnA1Wq1wkn/5pbjm/+wzmDDBusG9b7+FZcvA319Euuh0zqtXIvFCpJAu8T3uuEPEGxw8aG7O6Q3IfHSfx9acdKPR6BQh3eOjXUBkEd5/v1ieNUvdWmwlJ0dc8IBsNCqRWEqVKjBzpliePBlOnFC3HmeiuNG7dYPwcHVrkUjcmQoVhJgO4riQl6duPc7k338hLk7MYpOD8J7BqFEiYmXvXjh0yLn7krEu6vPggyJ6UqOB2bPFzwUF5b/u4kXz7JopU6BZM+fWKZF4IVJIl/gekZFi2jbA/PlqVuJYlEGBtm3VrUOiGrbmpF9Mv0h2fjY6jY5aEbUcVk95jnRTtEuwm0a7KDz6qLhfvhxOnlS3FlvYvBmysoQw2KKF2tVIJJ7D2LHQt6/ok/DQQ941i60oMtZFIrGciROhUiVxPuDp/VPKQnGjDxoksuEl7k90tPh/gXMjTGWsi/tw331iBoJWK45HY8eWHUdnNIrrmuRkYb5TBgYlEolVSCFd4psoTUe/+w5yc9WtxRHk5oqMdJCOdB9GEdKVxqGWogjvtSJq4adzXAamkn3u0Y50EM13+vcXJ5//+5/a1VhP0VgXGfskkViO4vIKDhYN3L76Su2KHE9aGmzYIJaHDFG3FonEEwgNFRnpAG+8IQaqvREZ6+KZKPEu33/vvBz/desgMVEMKPXo4Zx9SCznrrvghx9EPMvChXDvvaXPlvnpJ1i8WMwi+OYb2ftAIrERKaRLfJN+/URDzsREkQ/m6Rw+LMT0iAioW1ftaiQqYXKkJ1vnSHdGrAuYBfLyhHS3bTZaFKXp6NdfQ2amurVYiyKky1gXicR66tWDN98Uy88+CxcuqFuPo1m9WlxwN2gAjRqpXY1E4hk8/DDUrAnnz3vmAHt5HDkCR4+K/GQ5U8WzuOUWCAuDM2dg61bn7GPRInEvY13ch9tvF3E7fn6if8Po0debBS9fhieeEMuvvAKtWrm+TonES5BCusQ30evhnnvE8rx5qpbiEIrGukjHqc9ia0a6s4X0xMxEjNdEIuQb8knJSSm2nlszaBDUqQNXr3pWg7FLl0RWJoiIColEYj0TJ0L79pCSAo8/rnY1jkXGukgk1hMYKLKFAaZNEzM7vAnFjd63r+yb4GkEBcHIkWJ5xgz4809hqNiwAf75R5wTHjkCp06JgeHERMjIsDy6LC8Pfv9dLMtYF/di+HARuePvL+5HjRJ9khQef1w0iG3VCl5+Wb06JRIvQArpEt9FiXf56y8xQuvJyEajEsxCeFxKHHkFljfAOnn1ZLHXOwol+zynIIes/OJTn69mXTUtRwVFOXS/TkGngwkTxPJnn3lOVvLq1eK+XTuIiVG3FonEU9HpYO5cMQj/++/mbFhPx2Awz8qTQrpEYh333Sei365cgY8+UrsaxyJjXTwbJd7ljz9g6FAxI7FnT+jcWZiumjWD+vWhenWoWFHEFVWtKoTXTz4RYntpTSuVWJeYGOje3VW/kcRSbrlF/N8DAsQgyvDhos/Lb7+JmQQ6nZhd6++vdqUSiUcjhXSJ79K8uXCY5eeLHDlPRgrpEqBKaBUC9YEYjAbOpJyx+HWKI11xtDuKEL8Q/LQie+/aeBelAWlEQAR6rYdMC33gAXFiumePcPV4AkXz0SUSie20agUvvCCWH39czE7xdPbsgfh4CAmRgohEYi16vTn2acYMIS56A7Gx4rpCq4Vbb1W7Gokt9O4NkyaJ43qHDtC6NTRpImZWVq0KFSqI475OZ37NpUvwyy9iBlbbtqJx6eDB8O67IiJGiQmRsS7uz4ABsHSpmJ2wfLnof/Loo+K555+HG25Qtz6JxAuQQrrEt1Fc6Z4c71JQAPv2ieW2bdWtRaIqGo3GnJNuRbyLs6JdNBqNyZWemFn8AtNjGo0WpWJFkTkIMGuWurVYgsEghXSJxJG8+io0bizE57vuEi4vT0aJdenXTwwSSiQS6xg1SoiUqakwfbra1TgGJbaje3fRTFLieWi18OGHIs5l+3ZznMvp0+Y4l/R0YSbLzxfv302b4O23hQgbFiaizJYtg5degi5dRB+uXr2E2A4y1sXd6dtX/P9CQmDNGjFQ0rQpTJ6sdmUSiVcghXSJb3PnnWJq0969ZjHa0zh+XGTbBQWJC3yJT2NtTnpmXibx6fGA44V0KL3hqKnRaLAHNBotitJ09OefxUmpO3PggKgxJARuukntaiQSzycwEObPF9+3K1YIt6anNR8uisxHl0jsQ6sV4iPAp596RzNiGeviW+h0Qjjv2lXkZi9fDklJsHu3EONHjBADKtnZsH69ENhlrItn0LOnOFcJDRWzB775RpzHSCQSu5FCusS3iY4WWWIgLo49ESXWpXXr4lP0JD6JtY7001dPAxAZGOmUrHJTw9Gs4o50xaHuUY50gBtvFNNkc3NFZrI7s3KluO/ZU7pNJRJH0bGjEBpCQkQPgiFDxGC2p5GQADt3iuVBg9StRSLxZAYNEoPVWVnw1ltqV2Mf8fGwZYtYHjZM1VIkKqLXi7jQSZNET5BLl4Sjfc4ceOghcc0srzk9g65d4cQJOHxYnL9IJBKHIIV0iWTsWHH/9dfiBNLT2LNH3Mt8dAlmIV1pIFoeynqOzkdXiA4SjvPSHOkeJ6SD2ZX+xRdiSqy7ImNdJBLn0KOH2eW1bp0Q0tLS1K7KOpYvF02T27WDatXUrkYi8Vw0GnjnHbE8ezZs3KhuPfbwxx/iuNChA9SsqXY1EndBoxEZ6+PHi/f4gAFqVySxhsqVRWNkiUTiMKSQLpEMHCiabqSkwNNPq12N9chGo5IiWOtId1Y+ukJp0S6KQ10R2j2K228XeennzsGSJWpXUzKZmSLvEqB/f3VrkUi8ka5dhSM9PFwIZwMGiJxZT2HpUnEvY10kEvvp0QPGjBG9SUaPhsuX1a7INmSsi0QikUgk5SKFdIlEpxNT1bRa+OEH4TLzFIxGs5AuG41KKJ6RbjQay13f2UK6IpR7RbNRhcBAePBBsfzZZ+rWUhobNoj4mVq1oFEjtauRSLyTTp3g778hMhK2bhVNO5OT1a6qfPLyzDNWpJAukTiGWbNEr6ILF+C++4So7klcvQpr14rl4cPVrUUikUgkEjdGCukSCQg398SJYvnRRz2nediZM+Ki3c8PmjdXuxqJG1Ansg4AqTmp17nAS0ItR7pHC+kAjzwiBt/WrhW5ke6GIpL17y+m5EokEufQvr04DlSoADt2QN++olGbO7N5s3DPV6ok6pdIJPYTGgqLFonB9uXLYeZMtSuyjqVLRVxdixZyAF4ikUgkkjKQQrpEovDGGyIP8PRpePNNtauxDMWN3qKFbCYoASDIL4hqYSLv1pKcdGdnpJfabNSTo10Aatc2Nyr+/HN1aykJmY8ukbiOtm2FmF6xIuzeDX36wJUraldVOn/9Je4HDhQDghKJxDG0agUffyyWX34Ztm1Ttx5rkLEuEolEIpFYhDx7lkgUQkPFtEyAGTPgwAF167EEGesiKQFLc9INRgOnr54u9hpHEx3shc1GFZSmo/Pnu1ejwbNn4fBhIZD16aN2NRKJb9C6tWg8GhMDe/dC796QkKB2VSWjCOky1kUicTzjx8Mddwh39513uv8MFYCMDHO0pRTSJRKJRCIpEymkSyRFueUWcQKZnw8PPeT++YZ79oh72WhUUoSiOellcTHtIjkFOeg0OmpG1HRKLaU2Gy3MTFeEdo+kTx8x/TktDb79Vu1qzKxeLe47dICoKHVrkUh8iRYtRH+CqlXFYHyvXhAfr3ZVxTl1Co4eFf1h5IwVicTxaDSi91L9+hAXBw88IHoauTMrVkB2NtSrJ1z1EolEIpFISsXrhPS9e/fy8ssv079/fypVqoRGo6Fnz57lvu67776jQ4cOhISEEBUVxZAhQ/hXcftKfItPPoGwMPjnH5g9W+1qykZ5j0ohXVIESx3pyvO1I2uj1+qdUoup2WiWFzUbVdBqza70WbPc50JZxrpIJOrRpIkQ06tXFzNDevYUs0TcBcWN3q2baJIqkUgcT3i4yEv394c//oBPP1W7orIpGusi+6pIJBKJRFImXiekL168mGnTprF+/XqqVKli0Wvefvtt7rnnHhISEnjkkUcYNWoUGzdu5KabbmLLli1OrljidlSvDu+8I5ZffBEuXlS3ntK4eFE43TQa6R6RFEMR0svLSFeed1asCxR3pBsLhea8gjzSctOKPe+x3HcfhIQIwWzDBrWrgYICsyNdCukSiTo0bCiOB7VqwX//icHuv/9WuyqBjHWRSFxDu3bmhqPPPgu7dqlbT2nk5IhGoyBjXSQSiUQisQCvE9JHjRrF7t27SU9PZ7UiJpTB8ePHmTp1Ko0aNWLfvn3MnDmTOXPmsHHjRgDGjx+Pwd3jPSSOZ8IEEYuQmgqTJqldTckosS5NmgghTyIpxFpHurMajYJZKM8tyCUjLwMoHvMSFejh0SMREXDPPWL5s8/UrQXELJWkJOGG69hR7WokEt+lfn3YuBHatBGNR2++WTQyV/OcMj1d5LiDFNIlElfw2GNCnM7LE7npKSlqV3Q9a9eK652qVeV5g0QikUgkFuB1Qnrz5s1p164dfn5+Fq3/zTffkJ+fzyuvvEJERITp8TZt2jB69GiOHDnC5s2bnVWuxF3R6USsi04npmYuW6Z2RdcjY10kpaAI42dTzpJbkFvqeoqQ7kxHerBfMAG6AMAsoCv3kYGR6LQ6p+3bZSjxLosXw6ZNqpZiinXp0wf0zonrkUgkFlK7NmzdCg8+KKKfJk8WAnZiYvmvdQZr1kBuLtStKwbhJRKJc9Fo4KuvoE4d0Z/goYfcJwZOQYl1GT5cRNZJJBKJRCIpE5+/yl6/fj0AN5cwBb5///7MmzePDRs20L1791K3kZOTQ05OjunntDQRWZCXl0deXp5jC5a4jubN0U6ciO6DDzA++ij5e/e6lfNbt2sXWqCgVSsM8n3m9ijHAlccE6L8owj2CyYzL5MTV07QsELDEtc7mSSiXWqF1XJqXRWCKnAx/SKX0i5RNbgqCWkJgMhP94pjZJMm6IYORfvHHxgHDqTgzz8xduumSim6FSvEcaFvX3lc8ABceVyQqIReD59/jqZTJ3SPP45mxQqM7dpR8MMPGNu3d2kpuiVLxPFh4EAM+fku3bfEOuSxwYsICUGzcCG6nj3RLFpEQffuGB56SO2qBAUF6BcvRgPk33orRvl+c2vkcUEikVxLvjyfUwWfF9KPHz9OaGhoiXnqDRs2NK1TFtOmTeP111+/7vGNGzdy+PBhxxQqUQVdhw70rlSJ4DNniL3/fg6PHat2SSb6bttGCPBPbi5X3NExLykRSyKnHEFFXUXi8uJYtGoRbcPblrjOkUtHALhw6ALLTjvvPeSXL2YILV+/nAthF9iRsgMAbY6WZV7y3tXedRcdY2OJ2bcPBg1i+2uvkdiihUtr0GdmMnDbNgDW6vVkesnf1hdw1XFBoiIVKxL+7ru0f+89QuPi0PbowcEHHuD0wIGuae5nNHLz4sUEATsqViRBHh88Anls8B7q33svLb75Bp56is15eaTWrat2SUQfPEjXK1fIDQtjRXo6Rnlc8AjkcUEikShcuXJF7RJ8Ep8X0lNSUoiJiSnxufDwcNM6ZfHSSy/x9NNPm34+f/48zZo1o3v37tSpU8dhtUrUQRMUBEOH0mDJEuq8/LLIO1WbpCT8EoSrt8PDD0NkpLr1SMolLy+P1atX069fP4ujp+xhbsZc4o7HEd0wmkE3DLru+fTcdFL2imPbmCFjiAiMuG4dRzEzcSZxZ+No2Kohg5oO4sr+K3Aa6lapy6BB19fmsQwYgOG229CvXk2Xd96h4I8/MPbo4bLda5YsQVtQgLFBA3ref7/L9iuxHVcfFyRuwN13Yxg/Hu3ixbSaM4cWyckUfPEFhIY6d7979+KXmIgxOJgbn30WAgOduz+JXchjgxcycCCGS5fQLVtGz88/J3/7dud/7stBW9gEWT98OANvvVXVWiTlI48LEonkWs6fP692CT6JWwrpzzzzTLGolPKYOHGiyT2uBgEBAQQEBJh+Tk1NBcDPz09+yXkDt94Ko0ah+fln/B5/XOSd6lTOdT50SNzXrYtfpUrq1iKxClcdFxpGN4TjcCb1TIn7O5d0DhCxKxXDKjq1luiQaABSclPw8/MjOScZgIohFb3rGOnnB3/+CcOHo1mxAv2tt8LSpdC7t2v2v2YNAJr+/b3r7+oDyPMFH6JiRZFJ/NFH8PzzaBctQnvgAPzyCzRr5rz9FvZP0PTti19YmPP2I3Eo8tjgZSxYAG3aoDl+HL9HH4XvvlMvl9xoFL1dAO1tt6GV7zOPQR4XJBKJgl72xFIFt/yrz549m4yMDIvXv+2222wW0iMiIkp1nCuCeNEmpBIf5aOPYOVK2LEDvvjC3FxQLWSjUUk5KA1ElYai1+KKRqMK0UFCSL+22WiFwApO37fLCQyE33+HESNg+XIYMgSWLBHNP52N0mi0hJ4fEonEjdBo4KmnoEMHuP12OHIE2reHL7+Eu+5yzj7/+kvcDx7snO1LJJLyiY6GH3+EHj3EffXq8P77rol3upZdu+DcOdH/qV8/1+9fIpFIJBIPxS1bc6enp2M0Gi2+9ezZ0+Z9NWzYkPT0dOLj4697TslGV9PtLnETqlWDd98Vyy+9BGpPoZFCuqQcyhPST149WWw9Z1IhSAjm1wnpQV4opIMQ03/7DQYNgqwsIaYXTp92GkuXwokTwhVvx3eiRCJxIV26wJ49YqAtMxPuvhsWLnT8fq5cgX/+EcveFKclkXgiXbrA11+L5ZkzYfp0der47TdxP3iwjHqSSCQSicQK3FJIdyU9CvNrVylOviKsXLmy2DoSH+fhh6FTJ0hLg0cfFVMi1WLPHnHftuQmkhKJIpCfvHoSYwnvVUVgrx9V3+m1KI70xKzEYvfRwdFO37dqKGL64MGQnQ233GJ2jDuay5dh3DixPHEiFPb3kEgkHkBMjJjx9sQT4ufXXoPcXMfuY8UKcc7SujXUqOHYbUskEusZM0aI6AAvvghz57p2/0Yj/PqrWB4xwrX7lkgkEonEw/F5If3+++9Hr9fz9ttvF4t42bt3Lz/88ANNmzala9euKlYocRu0Wpgzx5yD/Nln6tSRng7//SeWpSNdUgp1IuugQUN6bjpXMq/v5u3KaBefc6QrBASIC9VbbhFi+q23CsHMkRiN8MgjkJAALVrAm286dvsSicT56HTw3ntQuTLExoocZUciY10kEvfj6afFLFcQZh3FIe4KDh+G48fB31/OUpFIJBKJxEq8Tkg/evQoY8eOZezYsUycOPG6x8aOHVts/UaNGjF16lSOHTtG69ateeaZZ3jooYfo3r07AF9++SVatZrASNyPli1hxgyx/OyzsHu362vYt0+IZ9WqiYtuiaQEAvWBVA+vDpQc76KGkJ6YeY0jPciLHekKAQGiieDQoZCTI+6XL3fc9r/9Vlx8+/mJZTk9WyLxTIKC4IUXxPLbb0NenmO2m58vHOkghXSJxN14+20YPx4MBhg9Gtatc81+588X9/37g2w+LJFIJBKJVXidQhwfH8/8+fOZP38+ixYtAuDSpUumx+YrJw5FeOWVV1i4cCGVKlXif//7H4sWLaJbt25s3bqVLl26uPpXkLg7TzwBw4eLqdd33AGFTWldhnKSLWNdJOVQWk66wWjgdPLpYus4EyXCxecc6Qr+/rBoEQwbJsT0YcNg2TL7txsXZ46DeP11aNPG/m1KJBL1ePhhsyv9228ds82tWyE5WTQ57NjRMduUSCSOQaOB//1PxKvk5oqZa8426WRnmzPax4937r4kEolEIvFCvE5I79mzZ7nNSUvi7rvvZufOnWRmZpKcnMxff/1FOxmbISkJjQa++gpq14aTJ8VJqKvy0s+fF9O/AUaOdM0+JR5L0Zz0opxPPU9uQS56rZ6a4TWdXofPRrsURRHTlYvl4cNFRJStGAwwdqwYyLvpJnj+eYeVKpFIVCI4GJ57Tiy/9ZZjXOlKrMuAASJCRiKRuBc6HXz3HfTuLeIbBw6EY8ect7+ff4bERKhVS8a6SCQSiURiA14npEskLiEqCn76CfR6IY7NmeOa/T7zjDjJ7tQJ7rvPNfuUeCxKI9FrHenKz3Ui66DTOl9YKdpsNCc/h/TcdPG4NzcbLQk/P/jxR7jtNiGmjxwpYl9s4ZNPxOyUkBAxRVsKZBKJd/DII6IB6enTsHChfds6fx5mzxbLt95qf20SicQ5BAbC4sVwww2igXi/fnDunHP29fnn4v7hh+W5g0Qikfgos2bNok6dOgQGBtKxY0d27NhR5vo///wzTZo0ITAwkJYtW7LsmtnVRqORyZMnU7VqVYKCgujbty/Hjx8vtk5SUhJ333034eHhREZGMm7cONLT04uts3LlSjp16kRYWBiVKlVi5MiRxMbGOuR3diRSSJdIbKVjR3j3XbE8caLILncmq1cL8V6rFdNAZXa/pBxKi3ZxZT46mJ3n+YZ84lLiANCgISIgwiX7dyv8/OCHH+Cuu0R28R13CCeaNRw+DC++KJZnzoQGDRxfp0QiUYeQELMr/e23xXHCFoxGIZSlpECHDnIWm0Ti7oSFiR4qjRqJ6Lb+/YVz3JHs2QP//CPORcaNc+y2JRKJROIR/PTTTzz99NNMmTKFf//9l9atW9O/f38SEhJKXH/r1q2MHj2acePGsWfPHoYNG8awYcM4ePCgaZ3p06fzySef8MUXX7B9+3ZCQkLo3///7d13eFRl2sfx34SQoaQQWkDUBDA0idKWACIQQIIsUiRZoigB1tAMuIAiYl5AyiIrIq76UkQixYCUbGDBgHSQDUXKSotGpAgSkGKAiCHt/eO8M5BKm8zA5Pu5rlw5Oec+h3ty6TOT+zznfoL1xx9/WGN69eqlQ4cOad26dVq1apW2bt2q/v37W48fO3ZMXbt2Vdu2bbV//36tXbtW58+f1/PPP190v4y7RCUOuBfDhhmLd6WlSX/5izFbvCj88Yf06qvG9pAh9ELGbbllIb2cfQrppUuWVilXYxHMpIvGnWnv0t52mQ1/X3J1lebPl/r2NVq0vPzyjX6lt3L9uhGflmY8/n3Thw8ATmLQIKlSJaN93N3OSl+wwGjr4uYmRUcz8xR4EFSqJH39tVStmnHTvHNnKTXVdtefMcP43qOHsR4DAMApXLlyRZcvX7Z+paWlFRg7bdo0RUREqG/fvqpXr55mzpypMmXKaG4Bf49++OGH6tixo9544w3VrVtXEyZMUKNGjfTxxx9LMmajT58+XVFRUerataueeOIJzZ8/X7/88ovi4uIkSUeOHNGaNWs0Z84cBQYGqmXLlvroo4+0ePFi/fLLL5KkPXv2KDMzUxMnTlTNmjXVqFEjvf7669q/f7/SbdHu0IYopAP3wsXFaKvw8MNGP8NBg4qmX/p770lJSVLVqtL48ba/PpySpZB+6vIppWXceDO19EyvWb6m3XKxtHdJumAU0otVf/T8lCghzZljtHHIzjZmhln+wC3MhAnS3r1S+fLGWg0mU9HnCsC+bp6VPnHinc9KP3PGeFJOksaNk+rVs2l6AIqQr69RTC9f3pg93qOHcRP9XqWk3HgCbvDge78eAOC+Ua9ePXl5eVm/Jk+enG/c9evXtWfPHrVv3966z8XFRe3bt1dCQkK+5yQkJOSIl6Tg4GBr/LFjx5ScnJwjxsvLS4GBgdaYhIQElStXTk2aNLHGtG/fXi4uLtq5c6ckqXHjxnJxcVF0dLQyMzOVkpKiBQsWqH379ipZsuRd/FaKDoV04F5VqGC0aihRwpg5Fh1t2+sfPWo83i1J06ZJnp62vT6cVqUyleTu5q5sZev4b8et++3d2kW6UTj/8eKPOX4u1lxcjF6lloLX4MHSBx8UHL9jh/T3vxvbM2caN9YAOKfBg6WKFY3PADExt39edrZxg+6334x+y5aCPIAHR716xhMlZcpIa9caE3Xu1fz50u+/S48/LrVsee/XAwDcNw4fPqyUlBTr11tvvZVv3Pnz55WZmSmfXE8l+fj4KDk5Od9zkpOTC423fL9VTOXKlXMcd3V1Vfny5a0x1atX19dff63Ro0fLbDarXLlyOnXqlJYsWXI7vwK7opAO2ELLlsZMUUmKjJQOHbLNdbOzpaFDjTYO7doZ/ZSB22QymfJt7+KIQrplYVFLaxfLDPViz2Qyiudvvmn8PHz4jbUXbpaaKvXubbSC6dVLCg21b54A7OvmWekTJtz+rPRFi6SVK40eyNHRRispAA+eZs2k2FjjpvvcudLWrXd/rezsG0+9DR7M02wA4GQ8PDzk6elp/TKbzY5O6Y4lJycrIiJC4eHh2r17t7Zs2SI3NzeFhIQouyi6PtwDCumArbz5ptShg3TtmtEv3RY9DePipK++Mv4g/uQTPvjijuUupF9Ju6Jff/81xzF7sMxAtxTSmZF+E5NJmjzZaMEgSW+9ZWzf/IFh5EijvVO1atL/96MD4OQss9J//NEokN/K2bPGOiqS9D//IwUEFG1+AIpWcLAUEWFsDx0qZWbe3XW2bJGOHDFu0L30ku3yAwA8UCpWrKgSJUro7NmzOfafPXtWVapUyfecKlWqFBpv+X6rmNyLmWZkZOjixYvWmE8++UReXl76xz/+oYYNG6pVq1ZauHChNmzYYG3/cr+gkA7YiouLsbhX1arGAkFDh97b9a5evdHyYeRIqXbte88RxY5lQVFLX3RLQb1imYryNNuvTVD5Ukbh3NJihkJ6LiaTNHasUVCXpHfekUaPNorpa9caLWAk6fPPpXLlHJUlAHtyd5def93YvlWv9Oxso/B+8aKxIPmoUXZJEUARmzjReN//73+lTz+9u2tYPkO8/DItIgGgGHNzc1Pjxo21YcMG676srCxt2LBBzZs3z/ec5s2b54iXpHXr1lnjq1evripVquSIuXz5snbu3GmNad68uX777Tft2bPHGrNx40ZlZWUpMDBQkvT777/LxSVnibpEiRLWHO8nFNIBW6pc2ehlankMc+HCu7/WhAnSzz9L1atLb79tuxxRrFgWFLUU0B3R1kW60dolK9t4E6S1SwFGjbrRJ/3dd6VXX5X69TN+HjJEyrXQCwAn9+qrxlosP/wgLV5ccNzSpUYbCFdXo6XLfbYoE4C7VLG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" ] @@ -305,10 +249,10 @@ ], "metadata": { "interpreter": { - "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" + "hash": "661f83817430c987d2c89f98b1a51e7dfded010a3b3f32f4337e8bbac58e21ff" }, "kernelspec": { - "display_name": "Python 3.8.17 ('storage')", + "display_name": "Python 3.8.17 ('hopp-dev-refactor')", "language": "python", "name": "python3" }, @@ -322,7 +266,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.17" + "version": "3.8.18" }, "orig_nbformat": 4 }, diff --git a/examples/workshop/05-floris-wake-model.ipynb b/examples/workshop/05-floris-wake-model.ipynb index 1c46443b1..1ec48e1ce 100644 --- a/examples/workshop/05-floris-wake-model.ipynb +++ b/examples/workshop/05-floris-wake-model.ipynb @@ -19,19 +19,19 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-10-11T14.47.21.822991.log\n" + "/Users/cirmas/workspace/HOPP/examples/workshop/log/hybrid_systems_2023-10-23T16.09.34.664416.log\n" ] } ], "source": [ - "from hopp.simulation.hybrid_simulation import HybridSimulation" + "from hopp.simulation import HoppInterface" ] }, { @@ -42,170 +42,19 @@ "Set wind and solar resource data at plant location. In this example, we use the Flatirons site as an example location." ] }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "from hopp import ROOT_DIR\n", - "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", - "\n", - "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", - "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", - "\n", - "\n", - "site = SiteInfo(\n", - " flatirons_site,\n", - " solar_resource_file=DEFAULT_SOLAR_RESOURCE_FILE,\n", - " wind_resource_file=DEFAULT_WIND_RESOURCE_FILE,\n", - " solar=True,\n", - " wind=True,\n", - " wave=False\n", - " )\n", - "\n", - "wind_speed = [W[2] for W in site.wind_resource._data['data']]\n", - "wind_dirs = [W[3] for W in site.wind_resource._data['data']]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define System Capacities\n", - "Specify the capacities of the solar, wind, and interconnection components of the hybrid system in megawatts (MW)." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "solar_size_mw = 50\n", - "wind_size_mw = 20\n", - "interconnection_size_mw = 50" - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Read in FLORIS Configuration\n", - "The FLORIS configuration is defined in a `yaml` file that has the wind farm layout and wake models defined." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "import yaml\n", - "\n", - "floris_file = \"inputs/floris/gch.yaml\"\n", - "with open(floris_file, 'r') as f:\n", - " floris_config = yaml.load(f, yaml.FullLoader)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Visualize the Turbine Wakes using FLORIS (Optional) \n", - "\n", - "Optionally, you can visualize the wakes from the turbines using plotting tools from FLORIS.\n", - "\n", - " Additional instructions for generating wake plots from floris can be found in [FLORIS plotting example](https://github.com/NREL/floris/blob/main/examples/02_visualizations.py)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from floris.tools import FlorisInterface\n", - "import floris.tools.visualization as wakeviz\n", - "\n", - "\n", - "fi = FlorisInterface(\"inputs/floris/gch.yaml\")\n", - "fi.reinitialize(wind_speeds=[np.round(np.average(wind_speed), decimals=3)])\n", - "fi.reinitialize(wind_directions=[np.round(np.median(wind_dirs), decimals=2)])\n", - "horizontal_plane = fi.calculate_horizontal_plane(\n", - " x_resolution=200,\n", - " y_resolution=100,\n", - " height=90.0,\n", - " # yaw_angles=np.array([[[25.,0.,0.,0.]]]),\n", - ")\n", - "\n", - "fig, ax_list = plt.subplots(1, 1, figsize=(10, 8))\n", - "\n", - "wakeviz.visualize_cut_plane(horizontal_plane, ax=ax_list, title=\"Horizontal\")\n", - "\n", - "wakeviz.show_plots()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define Technologies Configuration\n", - "Configure the characteristics of each technology in the system, including PV (solar), wind, and grid interconnection.\n", - "\n", - "**NOTE**: Setting up the wind technology is different from when using PySAM WindPower. You must include the `floris_config` in the wind technology.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "technologies = {\n", - " 'pv': {\n", - " 'system_capacity_kw': solar_size_mw * 1000\n", - " },\n", - " 'wind': {\n", - " 'num_turbines': 4,\n", - " 'turbine_rating_kw': (wind_size_mw * 1e3) / 4, \n", - " 'model_name': 'floris', \n", - " 'timestep': [0, 8760],\n", - " 'floris_config':floris_config,\n", - " 'skip_financial': True\n", - " },\n", - " 'grid': {\n", - " 'interconnect_kw': interconnection_size_mw * 1000\n", - " }\n", - " }" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Create the Hybrid Simulation Model\n", - "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information.\n", + "### Create the Simulation Model\n", + "Create an instance of the `HoppInterface` class by providing the YAML configuration file.\n", "\n", "**NOTE**: When you create the instance you should see a print out that says `FLORIS is the system model...`" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -217,7 +66,7 @@ } ], "source": [ - "hybrid_plant = HybridSimulation(technologies, site)" + "hi = HoppInterface(\"./inputs/05-floris-wake-model.yaml\")" ] }, { @@ -230,7 +79,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -243,7 +92,7 @@ } ], "source": [ - "hybrid_plant.simulate(25)" + "hi.simulate(25)" ] }, { @@ -256,26 +105,27 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Wind Installed Cost: 72700000.0\n", + "Wind Installed Cost: 29080000.0\n", "Solar Installed Cost: 48000000.0\n", - "Hybrid Installed Cost: 120700000.0\n", - "Wind NPV: -68746620.18680064\n", + "Hybrid Installed Cost: 77080000.0\n", + "Wind NPV: 0\n", "Solar NPV: -35042037.04939877\n", - "Hybrid NPV: -104296171.12675565\n", + "Hybrid NPV: -58187428.29521625\n", "{\"pv\": 104053614.17593749, \"wind\": 71702641.3705228, \"hybrid\": 175298576.2259878}\n", - "{\"pv\": 23.75653291688071, \"wind\": 16.370466066329406, \"hybrid\": 20.063499491605054}\n", - "{\"pv\": -35042037.04939877, \"wind\": -68746620.18680064, \"hybrid\": -104296171.12675565}\n" + "{\"pv\": 23.75653291688071, \"wind\": 40.92616516582351, \"hybrid\": 28.662142130864364}\n", + "{\"pv\": -35042037.04939877, \"wind\": 0, \"hybrid\": -58187428.29521625}\n" ] } ], "source": [ + "hybrid_plant = hi.system\n", "annual_energies = hybrid_plant.annual_energies\n", "npvs = hybrid_plant.net_present_values\n", "cf = hybrid_plant.capacity_factors\n", @@ -296,14 +146,69 @@ "print(cf)\n", "print(npvs)" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualize Turbine Wakes using FLORIS (Optional) \n", + "\n", + "Optionally, you can visualize the wakes from the turbines using plotting tools from FLORIS.\n", + "\n", + " Additional instructions for generating wake plots from floris can be found in [FLORIS plotting example](https://github.com/NREL/floris/blob/main/examples/02_visualizations.py)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from floris.tools import FlorisInterface\n", + "import floris.tools.visualization as wakeviz\n", + "\n", + "site = hybrid_plant.site\n", + "\n", + "wind_speed = [W[2] for W in site.wind_resource._data['data']]\n", + "wind_dirs = [W[3] for W in site.wind_resource._data['data']]\n", + "\n", + "fi = FlorisInterface(\"inputs/floris/gch.yaml\")\n", + "fi.reinitialize(wind_speeds=[np.round(np.average(wind_speed), decimals=3)])\n", + "fi.reinitialize(wind_directions=[np.round(np.median(wind_dirs), decimals=2)])\n", + "horizontal_plane = fi.calculate_horizontal_plane(\n", + " x_resolution=200,\n", + " y_resolution=100,\n", + " height=90.0,\n", + " # yaw_angles=np.array([[[25.,0.,0.,0.]]]),\n", + ")\n", + "\n", + "fig, ax_list = plt.subplots(1, 1, figsize=(10, 8))\n", + "\n", + "wakeviz.visualize_cut_plane(horizontal_plane, ax=ax_list, title=\"Horizontal\")\n", + "\n", + "wakeviz.show_plots()" + ] } ], "metadata": { "interpreter": { - "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" + "hash": "661f83817430c987d2c89f98b1a51e7dfded010a3b3f32f4337e8bbac58e21ff" }, "kernelspec": { - "display_name": "Python 3.8.17 ('storage')", + "display_name": "Python 3.8.17 ('hopp-dev-refactor')", "language": "python", "name": "python3" }, @@ -317,7 +222,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.17" + "version": "3.8.18" }, "orig_nbformat": 4 }, diff --git a/examples/workshop/inputs/02-wind-solar-api.yaml b/examples/workshop/inputs/02-wind-solar-api.yaml new file mode 100644 index 000000000..11509788c --- /dev/null +++ b/examples/workshop/inputs/02-wind-solar-api.yaml @@ -0,0 +1,38 @@ +name: "Example 02" + +# SiteInfo +site: + data: + lat: 35.2018863 + lon: -101.945027 + elev: 1099 + year: 2012 + tz: -6 + site_boundaries: + verts: + - [3.06, 288.87] + - [0.0, 1084.03] + - [1784.05, 1084.24] + - [1794.09, 999.64] + - [1494.34, 950.97] + - [712.64, 262.8] + - [1216.98, 272.36] + - [1217.76, 151.62] + - [708.14, 0.0] + urdb_label: "5ca4d1175457a39b23b3d45e" + hub_height: 97.0 + solar: true + wind: true + wave: false + +# Technologies +technologies: + pv: + system_capacity_kw: 50000 + dc_degradation: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] + wind: + num_turbines: 10 + turbine_rating_kw: 5000 + grid: + interconnect_kw: 50000 + ppa_price: 0.01 \ No newline at end of file diff --git a/examples/workshop/inputs/03-wind-solar-battery.yaml b/examples/workshop/inputs/03-wind-solar-battery.yaml new file mode 100644 index 000000000..9f96e8fd4 --- /dev/null +++ b/examples/workshop/inputs/03-wind-solar-battery.yaml @@ -0,0 +1,44 @@ +name: "Example 02" + +# SiteInfo +site: + data: + lat: 35.2018863 + lon: -101.945027 + elev: 1099 + year: 2012 + tz: -6 + site_boundaries: + verts: + - [3.06, 288.87] + - [0.0, 1084.03] + - [1784.05, 1084.24] + - [1794.09, 999.64] + - [1494.34, 950.97] + - [712.64, 262.8] + - [1216.98, 272.36] + - [1217.76, 151.62] + - [708.14, 0.0] + urdb_label: "5ca4d1175457a39b23b3d45e" + hub_height: 97.0 + solar_resource_file: "resource_files/solar/35.2018863_-101.945027_psmv3_60_2012.csv" + wind_resource_file: "resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw" + grid_resource_file: "resource_files/grid/pricing-data-2015-IronMtn-002_factors.csv" + solar: true + wind: true + wave: false + +# Technologies +technologies: + pv: + system_capacity_kw: 50000 + dc_degradation: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] + wind: + num_turbines: 10 + turbine_rating_kw: 5000 + battery: + system_capacity_kwh: 20000 + system_capacity_kw: 80000 + grid: + interconnect_kw: 50000 + ppa_price: 0.04 \ No newline at end of file diff --git a/examples/workshop/inputs/04-load-following-battery.yaml b/examples/workshop/inputs/04-load-following-battery.yaml new file mode 100644 index 000000000..07a48784e --- /dev/null +++ b/examples/workshop/inputs/04-load-following-battery.yaml @@ -0,0 +1,23 @@ +technologies: + pv: + system_capacity_kw: 50000 + wind: + num_turbines: 10 + turbine_rating_kw: 5000 + battery: + system_capacity_kwh: 20000 + system_capacity_kw: 80000 + minimum_SOC: 20.0 + maximum_SOC: 100.0 + initial_SOC: 90.0 + grid: + interconnect_kw: 100000 + +config: + dispatch_options: + battery_dispatch: simple + solver: cbc + n_look_ahead_periods: 48 + grid_charging: true + pv_charging_only: false + include_lifecycle_count: false diff --git a/examples/workshop/inputs/05-floris-wake-model.yaml b/examples/workshop/inputs/05-floris-wake-model.yaml new file mode 100644 index 000000000..158513213 --- /dev/null +++ b/examples/workshop/inputs/05-floris-wake-model.yaml @@ -0,0 +1,48 @@ +site: #!include flatirons_site.yaml + data: + lat: 35.2018863 + lon: -101.945027 + elev: 1099 + year: 2012 + tz: -6 + site_boundaries: + verts: + - [3.06, 288.87] + - [0.0, 1084.03] + - [1784.05, 1084.24] + - [1794.09, 999.64] + - [1494.34, 950.97] + - [712.64, 262.8] + - [1216.98, 272.36] + - [1217.76, 151.62] + - [708.14, 0.0] + urdb_label: "5ca4d1175457a39b23b3d45e" + + solar_resource_file: "resource_files/solar/35.2018863_-101.945027_psmv3_60_2012.csv" + wind_resource_file: "resource_files/wind/35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw" + wave_resource_file: "" + grid_resource_file: "" + hub_height: 97.0 + capacity_hours: [] + desired_schedule: [] + solar: true + wind: true + wave: false + wind_resource_origin: "WTK" + +technologies: + pv: + system_capacity_kw: 50000 + wind: + num_turbines: 4 + turbine_rating_kw: 5000.0 + model_name: floris + timestep: [0, 8760] + floris_config: inputs/floris/gch.yaml + grid: + interconnect_kw: 50000 + +config: + simulation_options: + wind: + skip_financial: true \ No newline at end of file From 3c116862afb8874d23b1f23b933bfadad069d545 Mon Sep 17 00:00:00 2001 From: elenya-grant <116225007+elenya-grant@users.noreply.github.com> Date: Tue, 24 Oct 2023 09:42:31 -0600 Subject: [PATCH 43/46] added electrolyzer example --- .../workshop/07-wind-solar-electrolyzer.ipynb | 361 ++++++++++++++++++ 1 file changed, 361 insertions(+) create mode 100644 examples/workshop/07-wind-solar-electrolyzer.ipynb diff --git a/examples/workshop/07-wind-solar-electrolyzer.ipynb b/examples/workshop/07-wind-solar-electrolyzer.ipynb new file mode 100644 index 000000000..a132bd1b5 --- /dev/null +++ b/examples/workshop/07-wind-solar-electrolyzer.ipynb @@ -0,0 +1,361 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Simple Wind and Solar Hybrid Plant Example\n", + "---\n", + "In this example, we will walk through the process of simulating a hybrid renewable energy system using the Hybrid Optimization Performance Platform ([HOPP](https://github.com/NREL/HOPP)) library. We will simulate a hybrid system at a given location consisting of both wind and solar energy, and show how to access the simulation outputs." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Import Required Modules\n", + "We start by importing the necessary modules and setting up our working environment." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/Users/egrant/Desktop/HOPP-GIT/HOPP/examples/workshop/log/hybrid_systems_2023-10-24T09.15.02.114335.log\n" + ] + } + ], + "source": [ + "from hopp.simulation.hybrid_simulation import HybridSimulation\n", + "from hopp.simulation.technologies.hydrogen.electrolysis import run_h2_PEM\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set Site Information\n", + "Set wind and solar resource data at plant location. In this example, we use the Flatirons site as an example location." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from hopp import ROOT_DIR\n", + "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", + "\n", + "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", + "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", + "\n", + "\n", + "site = SiteInfo(\n", + " flatirons_site,\n", + " solar_resource_file=DEFAULT_SOLAR_RESOURCE_FILE,\n", + " wind_resource_file=DEFAULT_WIND_RESOURCE_FILE,\n", + " solar=True,\n", + " wind=True,\n", + " wave=False\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define System Capacities\n", + "Specify the capacities of the solar, wind, electrolyzer, and interconnection components of the hybrid system in megawatts (MW)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "solar_size_mw = 50\n", + "wind_size_mw = 50\n", + "interconnection_size_mw = 50\n", + "electrolyzer_size_mw = 100" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set electrolyzer and project parameters\n", + "in this example, we're simulating an off-grid electrolyzer system. We define 2 electrolyzer stacks, which will each be 50 MW. The other inputs are reasonable default values, and will be discussed further in future examples." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "simulation_length = 8760 #1 year\n", + "plant_life = 30 #years\n", + "use_degradation_penalty=True\n", + "number_electrolyzer_stacks = 2\n", + "grid_connection_scenario = 'off-grid'\n", + "EOL_eff_drop = 10\n", + "pem_control_type = 'basic'\n", + "user_defined_pem_param_dictionary = {\n", + " \"Modify BOL Eff\": False,\n", + " \"BOL Eff [kWh/kg-H2]\": [],\n", + " \"Modify EOL Degradation Value\": True,\n", + " \"EOL Rated Efficiency Drop\": EOL_eff_drop,\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define Renewable Technologies Configuration\n", + "Configure the characteristics of each technology in the system, including PV (solar), wind, and grid interconnection." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "technologies = {\n", + " 'pv': {\n", + " 'system_capacity_kw': solar_size_mw * 1000\n", + " },\n", + " 'wind': {\n", + " 'num_turbines': 10,\n", + " 'turbine_rating_kw': 5000\n", + " },\n", + " 'grid': {\n", + " 'interconnect_kw': interconnection_size_mw * 1000\n", + " }\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Create the Hybrid Simulation Model\n", + "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant = HybridSimulation(technologies, site)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the Simulation\n", + "Simulate the hybrid renewable energy system for a specified number of years (in this case, 25 years)." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "hybrid_plant.simulate(plant_life)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Retrieve power generation profile from wind and solar components\n", + "\n", + "``solar_plant_power`` is the solar generation profile, and ``wind_plant_power`` is the wind generation profile. The total hybrid plant power generation (``hybrid_plant_generation_profile``) is the input power to the electrolyzer. These are in units of kWh." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "solar_plant_power = np.array(hybrid_plant.pv.generation_profile[0:simulation_length])\n", + "wind_plant_power = np.array(hybrid_plant.wind.generation_profile[0:simulation_length])\n", + "hybrid_plant_generation_profile = solar_plant_power + wind_plant_power" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Run the electrolyzer\n", + "\n", + "The key electrolyzer inputs are:\n", + "- ``hybrid_plant_generation_profile``: energy input to the electrolyzer\n", + "- ``electrolyzer_size_mw``: total installed electrolyzer capacity\n", + "- ``number_electrolyzer_stacks``: how many individual stacks make up the electrolyzer system.\n", + "\n", + "The outputs are:\n", + "- ``h2_results``: aggregated performance information\n", + "- ``H2_Timeseries``: hourly time-series of hydrogen production and other key parameters\n", + "- ``H2_Summary``: averages or totals of performance data over the entire simulation\n", + "- ``energy_input_to_electrolyzer``: for this example (off-grid scenario), this is the same as ``hybrid_plant_generation_profile``." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Took 0.097 sec to run the create clusters\n", + "Took 0.056 sec to run even_split_power function\n", + "Took 0.064 sec to run the RUN function\n" + ] + } + ], + "source": [ + "h2_results, H2_Timeseries, H2_Summary,energy_input_to_electrolyzer =\\\n", + "run_h2_PEM.run_h2_PEM(hybrid_plant_generation_profile,\n", + "electrolyzer_size_mw,\n", + "plant_life, number_electrolyzer_stacks,[],\n", + "pem_control_type,100,user_defined_pem_param_dictionary,\n", + "use_degradation_penalty,grid_connection_scenario,[])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Get the time-series data and rated hydrogen production" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# Total hydrogen output timeseries (kg-H2/hour)\n", + "hydrogen_production_kg_pr_hr = H2_Timeseries['hydrogen_hourly_production']\n", + "# Rated/maximum hydrogen production from electrolysis system\n", + "max_h2_pr_h2 = h2_results['new_H2_Results']['Rated BOL: H2 Production [kg/hr]']\n", + "#x-values as hours of year\n", + "hours_of_year = np.arange(0,len(hydrogen_production_kg_pr_hr),1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Specify hours to plot\n", + "We're only going to look at 72 hour frame of the results, starting at hour 2000." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "hour_start = 2000\n", + "n_hours = 72\n", + "hour_end = hour_start + n_hours" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plot results\n", + "The top plot shows the hydrogen produced (green solid line) with the rated hydrogen production indicated by a red dashed line.\n", + "\n", + "The bottom plot shows the total energy input to the electrolyzer (green solid line) and the individual wind (blue dotted line) and solar (orange dashed line) generation profiles." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "fig,ax=plt.subplots(2,1,sharex=True)\n", + "fig.set_figwidth(8.0)\n", + "fig.set_figheight(6.0)\n", + "\n", + "ax[0].plot(hours_of_year[hour_start:hour_end],hydrogen_production_kg_pr_hr[hour_start:hour_end],lw=2,c='green',label='H2 Produced')\n", + "ax[0].plot(hours_of_year[hour_start:hour_end],max_h2_pr_h2*np.ones(n_hours),lw=2,ls='--',c='red',label='Rated H2')\n", + "ax[0].legend(loc='center right')\n", + "ax[0].set_ylabel('Hydrogen [kg]',fontsize=14)\n", + "ax[0].set_xlim((hour_start,hour_end-1))\n", + "\n", + "ax[1].plot(hours_of_year[hour_start:hour_end],solar_plant_power[hour_start:hour_end]/1e3,lw=2,ls='--',c='orange',label='Solar')\n", + "ax[1].plot(hours_of_year[hour_start:hour_end],wind_plant_power[hour_start:hour_end]/1e3,lw=2,ls=':',c='blue',label='Wind')\n", + "ax[1].plot(hours_of_year[hour_start:hour_end],hybrid_plant_generation_profile[hour_start:hour_end]/1e3,lw=2,alpha=0.5,c='green',label='Wind + Solar')\n", + "ax[1].set_ylabel('Renewable Energy [MWh]',fontsize=14)\n", + "ax[1].set_xlabel('Time [hour of year]',fontsize=14)\n", + "ax[1].set_xlim((hour_start,hour_end-1))\n", + "ax[1].legend()\n", + "fig.tight_layout()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.8.17 ('hopp-refac')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.17" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "4ed2f6d517bab588cae8a7711f846f0f29016ff569d93900b72889a62fe6842b" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From bfc0d3cb35339676273a628ec85ab56c99b3939a Mon Sep 17 00:00:00 2001 From: kbrunik Date: Wed, 25 Oct 2023 07:56:55 -0700 Subject: [PATCH 44/46] updated examples documentation --- examples/workshop/01-wind-solar.ipynb | 16 +- examples/workshop/02-wind-solar-api.ipynb | 10 +- examples/workshop/03-wind-solar-battery.ipynb | 16 +- .../workshop/04-load-following-battery.ipynb | 3 + examples/workshop/05-floris-wake-model.ipynb | 18 +- examples/workshop/06-wave-wind.ipynb | 168 ++------------- .../workshop/07-wind-solar-electrolyzer.ipynb | 160 +++----------- .../workshop/07-wind-solar-hydrogen.ipynb | 197 ------------------ examples/workshop/inputs/06-wave-wind.yaml | 63 ++++++ .../inputs/07-wind-solar-electrolyzer.yaml | 14 ++ .../workshop/inputs/default_fin_config.yaml | 29 +++ 11 files changed, 187 insertions(+), 507 deletions(-) delete mode 100644 examples/workshop/07-wind-solar-hydrogen.ipynb create mode 100644 examples/workshop/inputs/06-wave-wind.yaml create mode 100644 examples/workshop/inputs/07-wind-solar-electrolyzer.yaml create mode 100644 examples/workshop/inputs/default_fin_config.yaml diff --git a/examples/workshop/01-wind-solar.ipynb b/examples/workshop/01-wind-solar.ipynb index f5a617e5c..b1e3b77e1 100644 --- a/examples/workshop/01-wind-solar.ipynb +++ b/examples/workshop/01-wind-solar.ipynb @@ -34,20 +34,16 @@ "from hopp.simulation import HoppInterface" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Set Site Information\n", - "Set wind and solar resource data at plant location. In this example, we use the Flatirons site as an example location." - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Create the HOPP Model\n", - "Create an instance of the `HoppInterface` class by providing the YAML configuration." + "To generate the HOPP Model, instantiate the `HoppInterface` class and supply the required YAML configuration.\n", + "\n", + "Within the YAML configuration, you have the flexibility to define the plant's location details and configure the associated technologies, in this case wind and solar pv.\n", + "\n", + "In this example, we use the Flatirons site as a sample location and configure the wind and solar data for this particular site using pre-existing data files." ] }, { @@ -137,7 +133,7 @@ "kernelspec": { "display_name": "hopp-dev-refactor", "language": "python", - "name": "hopp-dev-refactor" + "name": "python3" }, "language_info": { "codemirror_mode": { diff --git a/examples/workshop/02-wind-solar-api.ipynb b/examples/workshop/02-wind-solar-api.ipynb index 1a009d746..0f8f7c74a 100644 --- a/examples/workshop/02-wind-solar-api.ipynb +++ b/examples/workshop/02-wind-solar-api.ipynb @@ -86,10 +86,10 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Create the Hybrid Simulation Model\n", - "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information. This model is similar to example 01, with some notable differences:\n", - "- The `site` information does not specify resource filepaths. This means that the API will be used to retrieve resource information for the site\n", - "- We specify other configuration options, such as `ppa_price` and `dc_degradation`. See the documentation for full descriptions of the available parameters for each technology" + "### Create the HOPP Model\n", + "To generate the HOPP Model, instantiate the `HoppInterface` class and provide the technology configuration and site information in the YAML. This model is similar to example 01, with some notable differences:\n", + "- The `site` information does not specify resource filepaths. This means that the API will be used to retrieve resource information for the site.\n", + "- We specify other configuration options, such as `ppa_price` and `dc_degradation`. See the documentation for full descriptions of the available parameters for each technology." ] }, { @@ -178,7 +178,7 @@ "kernelspec": { "display_name": "hopp-dev-refactor", "language": "python", - "name": "hopp-dev-refactor" + "name": "python3" }, "language_info": { "codemirror_mode": { diff --git a/examples/workshop/03-wind-solar-battery.ipynb b/examples/workshop/03-wind-solar-battery.ipynb index e0bbe7e2f..d5097f07b 100644 --- a/examples/workshop/03-wind-solar-battery.ipynb +++ b/examples/workshop/03-wind-solar-battery.ipynb @@ -39,20 +39,14 @@ ")" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Set Site Information\n", - "Set wind and solar resource data at plant location and load pricing data. In this example, we use the Flatirons site as an example location." - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Create the Simulation Model\n", - "Instantiate the `HoppInterface` class by providing a YAML configuration." + "Instantiate the `HoppInterface` class by providing a YAML configuration.\n", + "\n", + "In order to configure the battery dispatch model, ensure that you include a `grid_resource_file` within the `site` section, and incorporate the `battery` size and capacity into the `technologies` section of the YAML configuration." ] }, { @@ -205,7 +199,7 @@ "kernelspec": { "display_name": "hopp-dev-refactor", "language": "python", - "name": "hopp-dev-refactor" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -217,7 +211,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.18" + "version": "3.8.17" } }, "nbformat": 4, diff --git a/examples/workshop/04-load-following-battery.ipynb b/examples/workshop/04-load-following-battery.ipynb index e44a111ea..dd41402f3 100644 --- a/examples/workshop/04-load-following-battery.ipynb +++ b/examples/workshop/04-load-following-battery.ipynb @@ -82,6 +82,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ + "### Create the HOPP Model\n", + "To generate the HOPP Model, instantiate the `HoppInterface` class and supply the required YAML configuration.\n", + "\n", "`HOPPInterface` is capable of handling dictionary input as well as class instances. Here we demonstrate this by loading the YAML file as a dict, modifying it to include our site information, then passing it as an argument to `HoppInterface`. This is useful for programmatic configuration of simulation configs." ] }, diff --git a/examples/workshop/05-floris-wake-model.ipynb b/examples/workshop/05-floris-wake-model.ipynb index 1ec48e1ce..3232a574e 100644 --- a/examples/workshop/05-floris-wake-model.ipynb +++ b/examples/workshop/05-floris-wake-model.ipynb @@ -34,14 +34,6 @@ "from hopp.simulation import HoppInterface" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Set Site Information\n", - "Set wind and solar resource data at plant location. In this example, we use the Flatirons site as an example location." - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -49,6 +41,14 @@ "### Create the Simulation Model\n", "Create an instance of the `HoppInterface` class by providing the YAML configuration file.\n", "\n", + "A key difference when employing FLORIS instead of PySAM as the wind system model is found within the `wind` section under `technologies`.\n", + "\n", + "Apart from setting the `num_turbines` and `turbine_rating_kw`, as demonstrated in prior examples, you must also introduce these parameters to configure the FLORIS model:\n", + "\n", + " model_name: floris\n", + " timestep: [0, 8760]\n", + " floris_config: inputs/floris/gch.yaml\n", + "\n", "**NOTE**: When you create the instance you should see a print out that says `FLORIS is the system model...`" ] }, @@ -222,7 +222,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.18" + "version": "3.8.17" }, "orig_nbformat": 4 }, diff --git a/examples/workshop/06-wave-wind.ipynb b/examples/workshop/06-wave-wind.ipynb index ef79d495f..2c810a0ee 100644 --- a/examples/workshop/06-wave-wind.ipynb +++ b/examples/workshop/06-wave-wind.ipynb @@ -26,14 +26,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-09-28T09.17.44.626966.log\n" + "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-10-24T15.31.10.852014.log\n" ] } ], "source": [ - "from hopp.simulation.technologies.sites import SiteInfo\n", - "from hopp.simulation.technologies.sites import flatirons_site as sample_site\n", - "from hopp.simulation.hybrid_simulation import HybridSimulation\n", + "from hopp.simulation import HoppInterface\n", "from hopp.utilities.keys import set_nrel_key_dot_env" ] }, @@ -88,152 +86,27 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Retrieve Resource Data\n", - "Obtain the resource data for your location. Set the `site_input_data` dictionary with the desired location, year, and resources used in hybrid plant.\n", + "### Create the HOPP Model\n", + "To generate the HOPP Model, instantiate the `HoppInterface` class and supply the required YAML configuration with the technology configuration and site information.\n", "\n", - "The Wind resource data will be downloaded using the API key. The Wave resource data must be pre-loaded in the format given in the `Wave_resource_timeseries.csv`." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "from hopp import ROOT_DIR\n", - "\n", - "site_input_data = sample_site\n", - "site_input_data['lat'] = 44.6899\n", - "site_input_data['lon'] = -124.1346\n", - "site_input_data['year'] = 2010\n", + "For the site information, the Wind resource data will be downloaded using the API key. The Wave resource data **must be pre-loaded** in the format given in the `Wave_resource_timeseries.csv`.\n", "\n", - "DEFAULT_WAVE_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wave\" / \"Wave_resource_timeseries.csv\"\n", - "\n", - "site = SiteInfo(\n", - " site_input_data,\n", - " wave_resource_file=DEFAULT_WAVE_RESOURCE_FILE,\n", - " solar=False, \n", - " wind=True, \n", - " wave=True\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Read in Wave Technology Configuration\n", - "The Wave configuration is defined in a `yaml` file that has the wave power matrix and device information." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "import yaml\n", + "The Wave technology configuration requires the, device rating (kw), wave power matrix and number of devices.\n", "\n", - "mhk_yaml_path = \"inputs/wave/wave_device.yaml\"\n", - "with open(mhk_yaml_path, 'r') as stream:\n", - " mhk_config = yaml.safe_load(stream)\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Setup Financial Model Paremeters\n", + "Note that the wave model doesn't come with a default financial model. To address this, you must establish the `CustomFinancialModel` from HOPP.\n", "\n", - "The wave model does not have a default financial model so we have to set up the `CustomFinancialModel` from HOPP.\n", + "The `default_fin_config` contains all of the necessary parameters for the financial calculations.\n", "\n", - "The `default_fin_config` contains all of the necessary parameters for the financials to be calculated when running `HybridSimulation`." + "To maintain consistency across technologies, apply the `default_fin_config` to each technology configuration. This ensures that all technologies use the same financial model throughout the HOPP Model." ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ - "from hopp.simulation.technologies.financial.custom_financial_model import CustomFinancialModel\n", - "\n", - "default_fin_config = {\n", - "\t'batt_replacement_schedule_percent': [0],\n", - "\t'batt_bank_replacement': [0],\n", - "\t'batt_replacement_option': 0,\n", - "\t'batt_computed_bank_capacity': 0,\n", - "\t'batt_meter_position': 0,\n", - "\t'om_fixed': [1],\n", - "\t'om_production': [2],\n", - "\t'om_capacity': (0,),\n", - "\t'om_batt_fixed_cost': 0,\n", - "\t'om_batt_variable_cost': [0],\n", - "\t'om_batt_capacity_cost': 0,\n", - "\t'om_batt_replacement_cost': 0,\n", - "\t'om_replacement_cost_escal': 0,\n", - "\t'system_use_lifetime_output': 0,\n", - "\t'inflation_rate': 2.5,\n", - "\t'real_discount_rate': 6.4,\n", - "\t'cp_capacity_credit_percent': [0],\n", - "\t'degradation': [0],\n", - "\t'ppa_price_input': (0.01,),\n", - "\t'ppa_escalation': 1\n", - "\t}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define Technologies Configuration\n", - "Configure the characteristics of each technology in the system, including wind, wave, and grid interconnection.\n", - "\n", - "The technologies all have to use the same financial model so you can see that we call the `CustomFinancialModel` for each technology." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "interconnection_size_kw = 15000\n", - "wind_kw = 10000\n", - "\n", - "technologies = {'wind': {\n", - " 'num_turbines': 5,\n", - " 'turbine_rating_kw': wind_kw / 5,\n", - " 'fin_model': CustomFinancialModel(default_fin_config)\n", - " },\n", - " 'wave':{\n", - " 'device_rating_kw': mhk_config['device_rating_kw'], \n", - " 'num_devices': 10, \n", - " 'wave_power_matrix': mhk_config['wave_power_matrix'],\n", - " 'fin_model': CustomFinancialModel(default_fin_config)\n", - " },\n", - " 'grid': {\n", - " 'interconnect_kw': interconnection_size_kw,\n", - " 'fin_model': CustomFinancialModel(default_fin_config)\n", - " }}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Create the Hybrid Simulation Model\n", - "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "hybrid_plant = HybridSimulation(technologies, site)" + "hi = HoppInterface(\"./inputs/06-wave-wind.yaml\")" ] }, { @@ -246,7 +119,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -259,8 +132,7 @@ "\t'row_spacing': 600,\n", "\t'cable_system_overbuild': 20\n", "\t}\n", - "\n", - "hybrid_plant.wave.create_mhk_cost_calculator(cost_model_inputs)" + "hi.system.wave.create_mhk_cost_calculator(cost_model_inputs)" ] }, { @@ -273,11 +145,11 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ - "hybrid_plant.simulate(project_life = 25)" + "hi.simulate(25)" ] }, { @@ -290,7 +162,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -298,15 +170,17 @@ "output_type": "stream", "text": [ "Annual Energy Production\n", - "{\"wind\": 32539658.835298087, \"wave\": 12132526.0, \"hybrid\": 44672184.83529807}\n", + "{\"wind\": 32539658.835298114, \"wave\": 121325260.0, \"hybrid\": 106567717.3026002}\n", "Net Present Value\n", - "{\"wind\": -14977200.729403041, \"wave\": -53731805.52113224, \"hybrid\": -68709006.25053555}\n", + "{\"wind\": -14977200.729403043, \"wave\": -407735589.40146995, \"hybrid\": -422077325.4809909}\n", "Capacity Factors\n", - "{\"wind\": 37.14572926403891, \"wave\": 48.426278059839696, \"hybrid\": 39.654467176635364}\n" + "{\"wind\": 37.14572926403895, \"wave\": 48.426278059839696, \"hybrid\": 45.50385609201568}\n" ] } ], "source": [ + "hybrid_plant = hi.system\n", + "\n", "aeps = hybrid_plant.annual_energies\n", "npvs = hybrid_plant.net_present_values\n", "cf = hybrid_plant.capacity_factors\n", diff --git a/examples/workshop/07-wind-solar-electrolyzer.ipynb b/examples/workshop/07-wind-solar-electrolyzer.ipynb index a132bd1b5..8243f473d 100644 --- a/examples/workshop/07-wind-solar-electrolyzer.ipynb +++ b/examples/workshop/07-wind-solar-electrolyzer.ipynb @@ -19,19 +19,11 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 11, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/Users/egrant/Desktop/HOPP-GIT/HOPP/examples/workshop/log/hybrid_systems_2023-10-24T09.15.02.114335.log\n" - ] - } - ], + "outputs": [], "source": [ - "from hopp.simulation.hybrid_simulation import HybridSimulation\n", + "from hopp.simulation import HoppInterface\n", "from hopp.simulation.technologies.hydrogen.electrolysis import run_h2_PEM\n", "import numpy as np\n", "import matplotlib.pyplot as plt" @@ -41,51 +33,39 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Set Site Information\n", - "Set wind and solar resource data at plant location. In this example, we use the Flatirons site as an example location." + "### Create the HOPP Model\n", + "To generate the HOPP Model, instantiate the `HoppInterface` class and supply the required YAML configuration.\n", + "\n", + "Within the YAML configuration, you have the flexibility to define the plant's location details and configure the associated technologies, in this case wind and solar pv.\n", + "\n", + "In this example, we use the Flatirons site as a sample location and configure the wind and solar data for this particular site using pre-existing data files." ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ - "from hopp import ROOT_DIR\n", - "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", - "\n", - "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", - "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", - "\n", - "\n", - "site = SiteInfo(\n", - " flatirons_site,\n", - " solar_resource_file=DEFAULT_SOLAR_RESOURCE_FILE,\n", - " wind_resource_file=DEFAULT_WIND_RESOURCE_FILE,\n", - " solar=True,\n", - " wind=True,\n", - " wave=False\n", - " )" + "hi = HoppInterface(\"./inputs/07-wind-solar-electrolyzer.yaml\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Define System Capacities\n", - "Specify the capacities of the solar, wind, electrolyzer, and interconnection components of the hybrid system in megawatts (MW)." + "### Run the Simulation\n", + "Simulate the hybrid renewable energy system for a specified number of years (in this case, 30 years)." ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ - "solar_size_mw = 50\n", - "wind_size_mw = 50\n", - "interconnection_size_mw = 50\n", - "electrolyzer_size_mw = 100" + "plant_life = 30 #years\n", + "hi.simulate(plant_life)" ] }, { @@ -98,12 +78,12 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ + "electrolyzer_size_mw = 100\n", "simulation_length = 8760 #1 year\n", - "plant_life = 30 #years\n", "use_degradation_penalty=True\n", "number_electrolyzer_stacks = 2\n", "grid_connection_scenario = 'off-grid'\n", @@ -117,68 +97,6 @@ "}" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define Renewable Technologies Configuration\n", - "Configure the characteristics of each technology in the system, including PV (solar), wind, and grid interconnection." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "technologies = {\n", - " 'pv': {\n", - " 'system_capacity_kw': solar_size_mw * 1000\n", - " },\n", - " 'wind': {\n", - " 'num_turbines': 10,\n", - " 'turbine_rating_kw': 5000\n", - " },\n", - " 'grid': {\n", - " 'interconnect_kw': interconnection_size_mw * 1000\n", - " }\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Create the Hybrid Simulation Model\n", - "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "hybrid_plant = HybridSimulation(technologies, site)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Run the Simulation\n", - "Simulate the hybrid renewable energy system for a specified number of years (in this case, 25 years)." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "hybrid_plant.simulate(plant_life)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -190,10 +108,11 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ + "hybrid_plant = hi.system\n", "solar_plant_power = np.array(hybrid_plant.pv.generation_profile[0:simulation_length])\n", "wind_plant_power = np.array(hybrid_plant.wind.generation_profile[0:simulation_length])\n", "hybrid_plant_generation_profile = solar_plant_power + wind_plant_power" @@ -219,16 +138,16 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Took 0.097 sec to run the create clusters\n", - "Took 0.056 sec to run even_split_power function\n", - "Took 0.064 sec to run the RUN function\n" + "Took 0.167 sec to run the create clusters\n", + "Took 0.086 sec to run even_split_power function\n", + "Took 0.135 sec to run the RUN function\n" ] } ], @@ -250,7 +169,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -266,27 +185,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Specify hours to plot\n", - "We're only going to look at 72 hour frame of the results, starting at hour 2000." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ + "### Plot results (Optional)\n", + "We're only going to look at 72 hour frame of the results, starting at hour 2000.\n", "\n", - "hour_start = 2000\n", - "n_hours = 72\n", - "hour_end = hour_start + n_hours" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Plot results\n", "The top plot shows the hydrogen produced (green solid line) with the rated hydrogen production indicated by a red dashed line.\n", "\n", "The bottom plot shows the total energy input to the electrolyzer (green solid line) and the individual wind (blue dotted line) and solar (orange dashed line) generation profiles." @@ -294,12 +195,12 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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" ] @@ -309,6 +210,9 @@ } ], "source": [ + "hour_start = 2000\n", + "n_hours = 72\n", + "hour_end = hour_start + n_hours\n", "\n", "fig,ax=plt.subplots(2,1,sharex=True)\n", "fig.set_figwidth(8.0)\n", diff --git a/examples/workshop/07-wind-solar-hydrogen.ipynb b/examples/workshop/07-wind-solar-hydrogen.ipynb deleted file mode 100644 index 0acd124ec..000000000 --- a/examples/workshop/07-wind-solar-hydrogen.ipynb +++ /dev/null @@ -1,197 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Simple Wind and Solar and Hydrogen Hybrid Plant Example\n", - "---\n", - "In this example, we will walk through the process of simulating a wind-solar hybrid plant with hydrogen production. We will simulate a hybrid system at a given location consisting of both wind and solar energy, and show how to use that renewable energy for hydrogen production." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Import Required Modules\n", - "We start by importing the necessary modules and setting up our working environment." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-10-12T07.52.39.428444.log\n" - ] - } - ], - "source": [ - "from hopp.simulation.hybrid_simulation import HybridSimulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Set Site Information\n", - "Set wind and solar resource data at plant location. In this example, we use the Flatirons site as an example location." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from hopp import ROOT_DIR\n", - "from hopp.simulation.technologies.sites import SiteInfo, flatirons_site\n", - "\n", - "DEFAULT_SOLAR_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"solar\" / \"35.2018863_-101.945027_psmv3_60_2012.csv\"\n", - "DEFAULT_WIND_RESOURCE_FILE = ROOT_DIR.parent / \"resource_files\" / \"wind\" / \"35.2018863_-101.945027_windtoolkit_2012_60min_80m_100m.srw\"\n", - "\n", - "\n", - "site = SiteInfo(\n", - " flatirons_site,\n", - " solar_resource_file=DEFAULT_SOLAR_RESOURCE_FILE,\n", - " wind_resource_file=DEFAULT_WIND_RESOURCE_FILE,\n", - " solar=True,\n", - " wind=True,\n", - " wave=False\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define System Capacities\n", - "Specify the capacities of the solar, wind, and interconnection components of the hybrid system in megawatts (MW)." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "solar_size_mw = 50\n", - "wind_size_mw = 50\n", - "interconnection_size_mw = 50" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Define Technologies Configuration\n", - "Configure the characteristics of each technology in the system, including PV (solar), wind, and grid interconnection." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "technologies = {\n", - " 'pv': {\n", - " 'system_capacity_kw': solar_size_mw * 1000\n", - " },\n", - " 'wind': {\n", - " 'num_turbines': 10,\n", - " 'turbine_rating_kw': 5000\n", - " },\n", - " 'grid': {\n", - " 'interconnect_kw': interconnection_size_mw * 1000\n", - " }\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Create the Hybrid Simulation Model\n", - "Create an instance of the `HybridSimulation` class by providing the technology configuration and site information." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "hybrid_plant = HybridSimulation(technologies, site)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Run the Simulation\n", - "Simulate the hybrid renewable energy system for a specified number of years (in this case, 25 years)." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "hybrid_plant.simulate(25)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Use the Renewable Energy to Produce Hydrogen\n", - "Take the renewable energy hourly profile from the `hybrid_plant` simulation to run the PEM electrolyzer model." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from hopp.simulation.technologies.hydrogen.electrolysis.PEM_H2_LT_electrolyzer_Clusters import PEM_H2_Clusters\n", - "\n", - "energy_to_electrolyzer_kw = hybrid_plant.grid._system_model.Outputs.system_pre_interconnect_kwac[0:8760]\n", - "electrolyzer_size_mw = 50\n", - "\n", - "PEM_H2_Clusters()" - ] - } - ], - "metadata": { - "interpreter": { - "hash": "c4181dcdfcea4d6481020f2ce48a9cbe5cdfeb7af5e211e5dfd3ac596bfed8bd" - }, - "kernelspec": { - "display_name": "Python 3.8.17 ('storage')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.17" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/workshop/inputs/06-wave-wind.yaml b/examples/workshop/inputs/06-wave-wind.yaml new file mode 100644 index 000000000..365fe24eb --- /dev/null +++ b/examples/workshop/inputs/06-wave-wind.yaml @@ -0,0 +1,63 @@ +name: "Example 06" + +# SiteInfo +site: + data: + lat: 44.6899 + lon: -124.1346 + year: 2010 + site_boundaries: + verts: + - [3.06, 288.87] + - [0.0, 1084.03] + - [1784.05, 1084.24] + - [1794.09, 999.64] + - [1494.34, 950.97] + - [712.64, 262.8] + - [1216.98, 272.36] + - [1217.76, 151.62] + - [708.14, 0.0] + urdb_label: "5ca4d1175457a39b23b3d45e" + hub_height: 97.0 + solar: false + wind: true + wave: true + wind_resource_file: "" + wave_resource_file: "resource_files/wave/Wave_resource_timeseries.csv" + grid_resource_file: "" + +# Technologies +technologies: + wind: + num_turbines: 5 + turbine_rating_kw: 2000 + fin_model: !include default_fin_config.yaml + wave: + device_rating_kw: 286 + wave_power_matrix: + - [0.000000, 0.500000, 1.500000, 2.500000, 3.500000, 4.500000, 5.500000, 6.500000, 7.500000, 8.500000, 9.500000, 10.500000, 11.500000, 12.500000, 13.500000, 14.500000, 15.500000, 16.500000, 17.500000, 18.500000, 19.500000, 20.500000] + - [0.250000, 0.000000, 0.000000, 0.000000, 0.000000, 0.400000, 0.600000, 0.800000, 1.000000, 1.100000, 1.100000, 1.000000, 0.800000, 0.700000, 0.600000, 0.500000, 0.400000, 0.300000, 0.300000, 0.200000, 0.200000, 0.000000] + - [0.750000, 0.000000, 0.000000, 0.000000, 0.000000, 3.200000, 5.300000, 7.400000, 9.100000, 9.800000, 9.500000, 8.600000, 7.400000, 6.200000, 5.100000, 4.100000, 3.400000, 2.800000, 2.300000, 1.900000, 1.600000, 0.000000] + - [1.250000, 0.000000, 0.000000, 0.000000, 0.000000, 9.000000, 14.800000, 20.500000, 25.000000, 26.800000, 25.900000, 23.300000, 20.000000, 16.800000, 13.800000, 11.300000, 9.200000, 7.600000, 6.300000, 5.200000, 4.300000, 0.000000] + - [1.750000, 0.000000, 0.000000, 0.000000, 0.000000, 17.600000, 28.900000, 39.900000, 48.300000, 51.600000, 49.700000, 44.700000, 38.400000, 32.200000, 26.500000, 21.700000, 17.800000, 14.600000, 12.100000, 10.000000, 8.400000, 0.000000] + - [2.250000, 0.000000, 0.000000, 0.000000, 0.000000, 29.000000, 47.500000, 65.400000, 78.800000, 83.800000, 80.600000, 72.400000, 62.300000, 52.200000, 43.000000, 35.300000, 28.900000, 23.800000, 19.700000, 16.300000, 13.700000, 0.000000] + - [2.750000, 0.000000, 0.000000, 0.000000, 0.000000, 43.200000, 70.700000, 97.000000, 116.300000, 123.100000, 118.100000, 106.100000, 91.300000, 76.500000, 63.200000, 51.900000, 42.500000, 35.000000, 28.900000, 24.100000, 20.100000, 0.000000] + - [3.250000, 0.000000, 0.000000, 0.000000, 0.000000, 60.200000, 98.300000, 134.500000, 160.500000, 169.300000, 162.100000, 145.500000, 125.200000, 105.000000, 86.800000, 71.300000, 58.500000, 48.200000, 39.900000, 33.200000, 27.800000, 0.000000] + - [3.750000, 0.000000, 0.000000, 0.000000, 0.000000, 79.900000, 130.400000, 177.800000, 211.200000, 222.000000, 212.200000, 190.400000, 164.000000, 137.600000, 113.800000, 93.600000, 76.900000, 63.300000, 52.500000, 43.700000, 36.600000, 0.000000] + - [4.250000, 0.000000, 0.000000, 0.000000, 0.000000, 102.400000, 166.700000, 226.700000, 268.300000, 281.100000, 268.200000, 240.500000, 207.200000, 174.100000, 144.100000, 118.500000, 97.400000, 80.300000, 66.600000, 55.500000, 46.500000, 0.000000] + - [4.750000, 0.000000, 0.000000, 0.000000, 0.000000, 127.600000, 207.400000, 281.200000, 286.000000, 286.000000, 286.000000, 286.000000, 255.000000, 214.300000, 177.500000, 146.100000, 120.200000, 99.200000, 82.200000, 68.600000, 57.600000, 0.000000] + - [5.250000, 0.000000, 0.000000, 0.000000, 0.000000, 155.400000, 252.400000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 258.200000, 214.000000, 176.300000, 145.100000, 119.800000, 99.400000, 83.000000, 69.700000, 0.000000] + - [5.750000, 0.000000, 0.000000, 0.000000, 0.000000, 186.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 253.600000, 209.000000, 172.200000, 142.200000, 118.100000, 98.600000, 82.800000, 0.000000] + - [6.250000, 0.000000, 0.000000, 0.000000, 0.000000, 219.200000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 244.200000, 201.200000, 166.400000, 138.200000, 115.500000, 97.100000, 0.000000] + - [6.750000, 0.000000, 0.000000, 0.000000, 0.000000, 255.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 281.900000, 232.400000, 192.200000, 159.700000, 133.500000, 112.300000, 0.000000] + - [7.250000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 265.600000, 219.800000, 182.800000, 152.900000, 128.700000, 0.000000] + - [7.750000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 249.000000, 207.200000, 173.400000, 146.000000, 0.000000] + - [8.250000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 279.900000, 233.000000, 195.100000, 164.400000, 0.000000] + - [8.750000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 260.200000, 218.000000, 183.800000, 0.000000] + - [9.250000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 242.100000, 204.100000, 0.000000] + - [9.750000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 267.400000, 225.600000, 0.000000] + num_devices: 100 + fin_model: !include default_fin_config.yaml + grid: + interconnect_kw: 15000 + fin_model: !include default_fin_config.yaml \ No newline at end of file diff --git a/examples/workshop/inputs/07-wind-solar-electrolyzer.yaml b/examples/workshop/inputs/07-wind-solar-electrolyzer.yaml new file mode 100644 index 000000000..4a2fcfd45 --- /dev/null +++ b/examples/workshop/inputs/07-wind-solar-electrolyzer.yaml @@ -0,0 +1,14 @@ +name: "Example 07" + +# SiteInfo +site: !include flatirons_site.yaml + +# Technologies +technologies: + pv: + system_capacity_kw: 50000 + wind: + num_turbines: 10 + turbine_rating_kw: 5000 + grid: + interconnect_kw: 50000 \ No newline at end of file diff --git a/examples/workshop/inputs/default_fin_config.yaml b/examples/workshop/inputs/default_fin_config.yaml new file mode 100644 index 000000000..eacb350a0 --- /dev/null +++ b/examples/workshop/inputs/default_fin_config.yaml @@ -0,0 +1,29 @@ +batt_replacement_schedule_percent: + - 0 +batt_bank_replacement: + - 0 +batt_replacement_option: 0 +batt_computed_bank_capacity: 0 +batt_meter_position: 0 +om_fixed: + - 1 +om_production: + - 2 +om_capacity: + - 0 +om_batt_fixed_cost: 0 +om_batt_variable_cost: + - 0 +om_batt_capacity_cost: 0 +om_batt_replacement_cost: 0 +om_replacement_cost_escal: 0 +system_use_lifetime_output: 0 +inflation_rate: 2.5 +real_discount_rate: 6.4 +cp_capacity_credit_percent: + - 0 +degradation: + - 0 +ppa_price_input: + - 0.01 +ppa_escalation: 1 From 8a9e877a9c27304e959dba122100d65d0c9997fe Mon Sep 17 00:00:00 2001 From: kbrunik Date: Wed, 25 Oct 2023 07:58:17 -0700 Subject: [PATCH 45/46] modified wave costs class instance --- hopp/simulation/technologies/mhk_wave_source.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/hopp/simulation/technologies/mhk_wave_source.py b/hopp/simulation/technologies/mhk_wave_source.py index 1565f3137..b098a1c6b 100644 --- a/hopp/simulation/technologies/mhk_wave_source.py +++ b/hopp/simulation/technologies/mhk_wave_source.py @@ -109,14 +109,19 @@ def __attrs_post_init__(self): else: setattr(self._system_model.MHKWave, attribute, 0) - def create_mhk_cost_calculator(self, cost_model_inputs: MHKCostModelInputs): + def create_mhk_cost_calculator(self, cost_model_inputs: Union[dict, MHKCostModelInputs]): """ Instantiates MHKCosts, cost calculator for MHKWavePlant. Args: cost_model_inputs: Input parameters for cost modeling. """ - self.mhk_costs = MHKCosts(self.config, cost_model_inputs) + if isinstance(cost_model_inputs, dict): + cost_model = MHKCostModelInputs.from_dict(cost_model_inputs) + else: + cost_model = cost_model_inputs + + self.mhk_costs = MHKCosts(self.config, cost_model) def calculate_total_installed_cost(self) -> float: if self.mhk_costs is None: From 0cd0f7419cc92deddd9b182cae61c497454966e8 Mon Sep 17 00:00:00 2001 From: kbrunik Date: Wed, 25 Oct 2023 08:22:17 -0700 Subject: [PATCH 46/46] updated example 06 config --- examples/workshop/06-wave-wind.ipynb | 2 +- examples/workshop/inputs/06-wave-wind.yaml | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/examples/workshop/06-wave-wind.ipynb b/examples/workshop/06-wave-wind.ipynb index 2c810a0ee..be3d34f78 100644 --- a/examples/workshop/06-wave-wind.ipynb +++ b/examples/workshop/06-wave-wind.ipynb @@ -26,7 +26,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-10-24T15.31.10.852014.log\n" + "/Users/kbrunik/github/forked/HOPP/examples/workshop/log/hybrid_systems_2023-10-25T08.20.44.417405.log\n" ] } ], diff --git a/examples/workshop/inputs/06-wave-wind.yaml b/examples/workshop/inputs/06-wave-wind.yaml index 365fe24eb..6b268e2f2 100644 --- a/examples/workshop/inputs/06-wave-wind.yaml +++ b/examples/workshop/inputs/06-wave-wind.yaml @@ -58,6 +58,7 @@ technologies: - [9.750000, 0.000000, 0.000000, 0.000000, 0.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 286.000000, 267.400000, 225.600000, 0.000000] num_devices: 100 fin_model: !include default_fin_config.yaml + grid: interconnect_kw: 15000 fin_model: !include default_fin_config.yaml \ No newline at end of file