mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 12:18:04 +03:00
06f0a8daa0
* fix grad_clip naming * cleaning up pretrained_vectors out of cfg * further refactoring Model init's * move Model building out of pipes * further refactor to require a model config when creating a pipe * small fixes * making cfg in nn_parser more consistent * fixing nr_class for parser * fixing nn_parser's nO * fix printing of loss * architectures in own file per type, consistent naming * convenience methods default_tagger_config and default_tok2vec_config * let create_pipe access default config if available for that component * default_parser_config * move defaults to separate folder * allow reading nlp from package or dir with argument 'name' * architecture spacy.VocabVectors.v1 to read static vectors from file * cleanup * default configs for nel, textcat, morphologizer, tensorizer * fix imports * fixing unit tests * fixes and clean up * fixing defaults, nO, fix unit tests * restore parser IO * fix IO * 'fix' serialization test * add *.cfg to manifest * fix example configs with additional arguments * replace Morpohologizer with Tagger * add IO bit when testing overfitting of tagger (currently failing) * fix IO - don't initialize when reading from disk * expand overfitting tests to also check IO goes OK * remove dropout from HashEmbed to fix Tagger performance * add defaults for sentrec * update thinc * always pass a Model instance to a Pipe * fix piped_added statement * remove obsolete W029 * remove obsolete errors * restore byte checking tests (work again) * clean up test * further test cleanup * convert from config to Model in create_pipe * bring back error when component is not initialized * cleanup * remove calls for nlp2.begin_training * use thinc.api in imports * allow setting charembed's nM and nC * fix for hardcoded nM/nC + unit test * formatting fixes * trigger build
103 lines
2.2 KiB
INI
103 lines
2.2 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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numpy>=1.15.0
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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==8.0.0a1
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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==8.0.0a1
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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>=2.0.0,<3.0.0
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catalogue>=0.0.7,<1.1.0
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ml_datasets
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# Third-party dependencies
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tqdm>=4.38.0,<5.0.0
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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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pydantic>=1.3.0,<2.0.0
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tqdm>=4.38.0,<5.0.0
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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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