spaCy/pyproject.toml

[build-system]
requires = [
    "setuptools",
    "cython>=0.25,<3.0",
    "cymem>=2.0.2,<2.1.0",
    "preshed>=3.0.2,<3.1.0",
    "murmurhash>=0.28.0,<1.1.0",
    "thinc>=9.0.0.dev2,<9.1.0",
    "numpy>=1.15.0",
]
build-backend = "setuptools.build_meta"
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",`
Fix batching regression (#12094) * Fix batching regression Some time ago, the spaCy v4 branch switched to the new Thinc v9 schedule. However, this introduced an error in how batching is handed. In the PR, the batchers were changed to keep track of their step, so that the step can be passed to the schedule. However, the issue is that the training loop repeatedly calls the batching functions (rather than using an infinite generator/iterator). So, the step and therefore the schedule would be reset each epoch. Before the schedule switch we didn't have this issue, because the old schedules were stateful. This PR fixes this issue by reverting the batching functions to use a (stateful) generator. Their registry functions do accept a `Schedule` and we convert `Schedule`s to generators. * Update batcher docs * Docstring fixes * Make minibatch take iterables again as well * Bump thinc requirement to 9.0.0.dev2 * Use type declaration * Convert another comment into a proper type declaration 2023-01-18 20:28:30 +03:00			`"thinc>=9.0.0.dev2,<9.1.0",`
Remove detailed numpy constraints from pyproject.toml 2020-12-17 10:54:20 +03:00			`"numpy>=1.15.0",`
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"`