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spaCy/pyproject.toml

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Build metadata modernization - pyproject.toml and python_requires (#3167) * Added pyproject.toml This adds the build requirements metadata to the repo, which can be used with any build tools that implement PEP 517 and PEP 518 (e.g. pip, tox). It is no longer necessary to have the build dependencies installed when installing from source. * Add python_requires for 2.7, 3.4+ This directive specifies in the build metadata which version of CPython is supported by this version of spaCy, which pip will take into account when determining what version to download. This will allow you to safely drop old versions of Python without `pip install spaCy` breaking for those versions. * Add Python 3.7 to the trove classifiers
2019-01-16 19:42:09 +03:00
[build-system]
add build dependencies back to pyproject.toml
2020-02-13 00:49:21 +03:00
requires = [
"setuptools",
Restrict cython to <3.0 (#8337)
2021-06-10 12:03:30 +03:00
"cython>=0.25,<3.0",
add build dependencies back to pyproject.toml
2020-02-13 00:49:21 +03:00
"cymem>=2.0.2,<2.1.0",
"preshed>=3.0.2,<3.1.0",
"murmurhash>=0.28.0,<1.1.0",
Add spacy.TextCatParametricAttention.v1 (#13201) * Add spacy.TextCatParametricAttention.v1 This layer provides is a simplification of the ensemble classifier that only uses paramteric attention. We have found empirically that with a sufficient amount of training data, using the ensemble classifier with BoW does not provide significant improvement in classifier accuracy. However, plugging in a BoW classifier does reduce GPU training and inference performance substantially, since it uses a GPU-only kernel. * Fix merge fallout
2024-01-02 12:03:06 +03:00
"thinc>=8.2.2,<8.3.0",
Update numpy build constraints for numpy 1.25 (#12839) * Update numpy build constraints for numpy 1.25 Starting in numpy 1.25 (see https://github.com/numpy/numpy/releases/tag/v1.25.0), the numpy C API is backwards-compatible by default. For python 3.9+, we should be able to drop the specific numpy build requirements and use `numpy>=1.25`, which is currently backwards-compatible to `numpy>=1.19`. In the future, the python <3.9 requirements could be dropped and the lower numpy pin could correspond to the oldest supported version for the current lower python pin. * Turn off fail-fast * Revert "Turn off fail-fast" This reverts commit 4306f516bc4a6b3437b5393ff1b6b6ae54957d2d. * Update for python 3.6 * Fix typo
2023-07-24 11:32:56 +03:00
"numpy>=1.15.0; python_version < '3.9'",
"numpy>=1.25.0; python_version >= '3.9'",
add build dependencies back to pyproject.toml
2020-02-13 00:49:21 +03:00
]
Build metadata modernization - pyproject.toml and python_requires (#3167) * Added pyproject.toml This adds the build requirements metadata to the repo, which can be used with any build tools that implement PEP 517 and PEP 518 (e.g. pip, tox). It is no longer necessary to have the build dependencies installed when installing from source. * Add python_requires for 2.7, 3.4+ This directive specifies in the build metadata which version of CPython is supported by this version of spaCy, which pip will take into account when determining what version to download. This will allow you to safely drop old versions of Python without `pip install spaCy` breaking for those versions. * Add Python 3.7 to the trove classifiers
2019-01-16 19:42:09 +03:00
build-backend = "setuptools.build_meta"
Configure isort to use the Black profile, recursively isort the `spacy` module (#12721) * Use isort with Black profile * isort all the things * Fix import cycles as a result of import sorting * Add DOCBIN_ALL_ATTRS type definition * Add isort to requirements * Remove isort from build dependencies check * Typo
2023-06-14 18:48:41 +03:00
[tool.isort]
profile = "black"
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