File: C:/Users/fred/anaconda3/pkgs/gensim-4.3.3-py312h0158946_0/info/recipe/meta.yaml
# This file created by conda-build 24.7.1
# meta.yaml template originally from:
# C:\b\abs_efsh9stgvi\clone\recipe, last modified Tue Sep 3 16:17:04 2024
# ------------------------------------------------
package:
name: gensim
version: 4.3.3
source:
sha256: a0787f45b42829af77022469c57b10b5bdf106fa66fa0f75e3bcbb387be55c82
url: https://github.com/RaRe-Technologies/gensim/archive/refs/tags/4.3.3.tar.gz
build:
number: '0'
script: C:\\b\\abs_efsh9stgvi\\croot\\gensim_1725376635600\\_h_env\\python.exe -m
pip install --no-deps --no-build-isolation . -vv
string: py312h0158946_0
requirements:
build:
- vs2019_win-64 19.29.30154 h96f319f_5
- vswhere 2.8.4 haa95532_0
host:
- blas 1.0 mkl
- bzip2 1.0.8 h2bbff1b_6
- ca-certificates 2024.7.2 haa95532_0
- cython 0.29.36 py312h2bbff1b_0
- expat 2.6.2 hd77b12b_0
- intel-openmp 2023.1.0 h59b6b97_46320
- libffi 3.4.4 hd77b12b_1
- mkl 2023.1.0 h6b88ed4_46358
- mkl-service 2.4.0 py312h2bbff1b_1
- mkl_fft 1.3.8 py312h2bbff1b_0
- mkl_random 1.2.4 py312h59b6b97_0
- numpy 1.26.4 py312hfd52020_0
- numpy-base 1.26.4 py312h4dde369_0
- openssl 3.0.14 h827c3e9_0
- pip 24.2 py312haa95532_0
- python 3.12.4 h14ffc60_1
- setuptools 72.1.0 py312haa95532_0
- sqlite 3.45.3 h2bbff1b_0
- tbb 2021.8.0 h59b6b97_0
- tk 8.6.14 h0416ee5_0
- tzdata 2024a h04d1e81_0
- vc 14.40 h2eaa2aa_0
- vs2015_runtime 14.40.33807 h98bb1dd_0
- wheel 0.43.0 py312haa95532_0
- xz 5.4.6 h8cc25b3_1
- zlib 1.2.13 h8cc25b3_1
run:
- numpy >=1.26.4,<2.0a0
- python >=3.12,<3.13.0a0
- scipy >=1.7.0,<1.14.0
- smart_open >=1.8.1
- vc >=14.2,<15.0a0
- vs2015_runtime >=14.29.30133,<15.0a0
test:
commands:
- pip check
- pytest -v gensim/test -k "not test_distance"
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
about:
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.
'
dev_url: https://github.com/RaRe-Technologies/gensim
doc_url: https://radimrehurek.com/gensim/
home: https://github.com/RaRe-Technologies/gensim
license: LGPL-2.1-only
license_family: LGPL
license_file: COPYING
summary: Topic Modelling for Humans
extra:
copy_test_source_files: true
final: true
flow_run_id: efb98d82-f87f-431b-8cb6-36d5105d7f15
recipe-maintainers:
- mpenkov
- souravsingh
remote_url: [email protected]:AnacondaRecipes/gensim-feedstock.git
sha: fcfdcada50c613aff07768c90dd724cb7d8366ed