Add recipe for Gensim #3225
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,78 @@ | ||
| {% set name = "gensim" %} | ||
| {% set version = "2.3.0" %} | ||
| {% set sha256 = "7d0dccc7d2c576e270037949874800b7cfbc86ef081ff981483f612cd18e223f" %} | ||
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| package: | ||
| name: {{ name|lower }} | ||
| version: {{ version }} | ||
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| source: | ||
| fn: {{ name }}-{{ version }}.tar.gz | ||
| url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz | ||
| sha256: {{ sha256 }} | ||
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| build: | ||
| number: 0 | ||
| skip: true # [win32 or osx or py34] | ||
| features: | ||
| - vc9 # [win and py27] | ||
| - vc10 # [win and py34] | ||
| - vc14 # [win and (py35 or py36)] | ||
| script: python setup.py install --single-version-externally-managed --record record.txt | ||
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| requirements: | ||
| build: | ||
| - python | ||
| - setuptools | ||
| - numpy >=1.11.3 | ||
| - scipy >=0.18.1 | ||
| - six >=1.5.0 | ||
| - smart_open >=1.2.1 | ||
| run: | ||
| - python | ||
| - numpy >=1.11.3 | ||
| - scipy >=0.18.1 | ||
| - six >=1.5.0 | ||
| - smart_open >=1.2.1 | ||
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| test: | ||
| requires: | ||
| - nose | ||
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There was a problem hiding this comment. Its probably sufficient initially to have for all the standard importable modules |
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| - testfixtures | ||
| - morfessor | ||
| - scikit-learn ==0.18.2 | ||
| - pyemd | ||
| imports: | ||
| - gensim | ||
| - gensim.corpora | ||
| - gensim.models | ||
| - gensim.models.wrappers | ||
| - gensim.parsing | ||
| - gensim.scripts | ||
| - gensim.similarities | ||
| - gensim.sklearn_integration | ||
| - gensim.summarization | ||
| - gensim.test | ||
| - gensim.topic_coherence | ||
| commands: | ||
| - nosetests --exe -v gensim | ||
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| about: | ||
| home: http://github.com/RaRe-Technologies/gensim | ||
| license: LGPL-3.0 | ||
| license_file: COPYING | ||
| license_family: LGPL | ||
| summary: 'Topic Modelling for Humans' | ||
| description: | | ||
| Gensim is a Python library for topic modelling, document indexing | ||
| and similarity retrieval with large corpora. | ||
| Target audience is the natural language processing (NLP) | ||
| and information retrieval (IR) community. | ||
| doc_url: http://radimrehurek.com/gensim/ | ||
| dev_url: https://github.com/RaRe-Technologies/gensim | ||
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| extra: | ||
| recipe-maintainers: | ||
| - souravsingh | ||
| - tmylk | ||
| - menshikh-iv | ||
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Should we update this every release?
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The version and the sha256 checksum is updated for every release.
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Should we update it manually every release?
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Yes, We only need to update the
versionand thesha256for every release. This is done by sending a PR to the complete gensim feedstock repository.There was a problem hiding this comment.
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Sorry, I don't catch, should we update this two lines over creating PR here after each release? Another question - what is this hash from?
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If a new release has been made when this recipe hasn't been merged, we update it the two lines from here to ensure that the latest version is packaged.
Otherwise, if this patch is merged before the new release, we will be sending a pull request to the feedstock repository of gensim, which would look similar to this- https://github.com/conda-forge/validictory-feedstock and the maintainers of the recipe(mentioned in the recipe-maintainers section of the recipe) will take a look and merge the patch to update the version of the conda package.
The
sha256comes from the project link in pypi.io.