File: C:/Users/fred/anaconda3/pkgs/gensim-4.3.3-py312h0158946_0/info/recipe/meta.yaml.template
{% set name = "gensim" %}
{% set version = "4.3.3" %}
{% set sha256 = "a0787f45b42829af77022469c57b10b5bdf106fa66fa0f75e3bcbb387be55c82" %}
package:
name: {{ name|lower }}
version: {{ version }}
source:
url: https://github.com/RaRe-Technologies/{{ name }}/archive/refs/tags/{{ version }}.tar.gz
sha256: {{ sha256 }}
build:
number: 0
# gensim and pyemd currently aren't available on s390x
skip: true # [py<38 or s390x]
script: {{ PYTHON }} -m pip install --no-deps --no-build-isolation . -vv
requirements:
build:
- {{ compiler('c') }}
- {{ compiler('cxx') }}
host:
- python
- pip
- cython >=0.29.32,<3
- numpy {{numpy}}
- setuptools
- wheel
run:
- python
- {{ pin_compatible('numpy') }}
- scipy >=1.7.0,<1.14.0
- smart_open >=1.8.1
test:
imports:
- gensim
- gensim.corpora
- gensim.models
- gensim.parsing
- gensim.scripts
- gensim.similarities
- gensim.test
- gensim.topic_coherence
requires:
- pip
- pytest
- testfixtures
source_files:
- gensim/test
commands:
- pip check
- pytest -v gensim/test -k "not test_distance"
about:
home: https://github.com/RaRe-Technologies/gensim
license: LGPL-2.1-only
license_family: LGPL
license_file: COPYING
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: https://radimrehurek.com/gensim/
dev_url: https://github.com/RaRe-Technologies/gensim
extra:
recipe-maintainers:
- souravsingh
- mpenkov