mirror of https://github.com/explosion/spaCy.git
98 lines
2.1 KiB
INI
98 lines
2.1 KiB
INI
[metadata]
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description = Industrial-strength Natural Language Processing (NLP) in Python
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url = https://spacy.io
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author = Explosion
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author_email = contact@explosion.ai
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license = MIT
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long_description = file: README.md
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long_description_content_type = text/markdown
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classifiers =
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Development Status :: 5 - Production/Stable
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Environment :: Console
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Intended Audience :: Developers
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Intended Audience :: Science/Research
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License :: OSI Approved :: MIT License
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Operating System :: POSIX :: Linux
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Operating System :: MacOS :: MacOS X
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Operating System :: Microsoft :: Windows
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Programming Language :: Cython
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Programming Language :: Python :: 3
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Programming Language :: Python :: 3.6
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Programming Language :: Python :: 3.7
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Programming Language :: Python :: 3.8
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Topic :: Scientific/Engineering
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[options]
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zip_safe = false
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include_package_data = true
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scripts =
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bin/spacy
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python_requires = >=3.6
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setup_requires =
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wheel
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cython>=0.25
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# We also need our Cython packages here to compile against
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cymem>=2.0.2,<2.1.0
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preshed>=3.0.2,<3.1.0
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murmurhash>=0.28.0,<1.1.0
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thinc==7.4.0.dev0
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install_requires =
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# Our libraries
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murmurhash>=0.28.0,<1.1.0
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cymem>=2.0.2,<2.1.0
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preshed>=3.0.2,<3.1.0
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thinc==7.4.0.dev0
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blis>=0.4.0,<0.5.0
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wasabi>=0.4.0,<1.1.0
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srsly>=0.1.0,<1.1.0
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catalogue>=0.0.7,<1.1.0
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# Third-party dependencies
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setuptools
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numpy>=1.15.0
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plac>=0.9.6,<1.2.0
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requests>=2.13.0,<3.0.0
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[options.extras_require]
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lookups =
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spacy_lookups_data>=0.0.5<0.2.0
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cuda =
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cupy>=5.0.0b4
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cuda80 =
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cupy-cuda80>=5.0.0b4
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cuda90 =
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cupy-cuda90>=5.0.0b4
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cuda91 =
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cupy-cuda91>=5.0.0b4
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cuda92 =
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cupy-cuda92>=5.0.0b4
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cuda100 =
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cupy-cuda100>=5.0.0b4
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# Language tokenizers with external dependencies
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ja =
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fugashi>=0.1.3
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ko =
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natto-py==0.9.0
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th =
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pythainlp>=2.0
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[bdist_wheel]
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universal = false
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[sdist]
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formats = gztar
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[flake8]
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ignore = E203, E266, E501, E731, W503
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max-line-length = 80
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select = B,C,E,F,W,T4,B9
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exclude =
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.env,
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.git,
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__pycache__,
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_tokenizer_exceptions_list.py,
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spacy/__init__.py
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[tool:pytest]
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markers =
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slow
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