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{
lib,
stdenv,
Accelerate,
blis,
buildPythonPackage,
catalogue,
confection,
CoreFoundation,
CoreGraphics,
CoreVideo,
cymem,
cython_0,
fetchPypi,
hypothesis,
mock,
murmurhash,
numpy,
preshed,
pydantic,
pytestCheckHook,
python,
pythonOlder,
setuptools,
srsly,
typing-extensions,
wasabi,
}:
buildPythonPackage rec {
pname = "thinc";
version = "8.3.0";
pyproject = true;
disabled = pythonOlder "3.7";
src = fetchPypi {
inherit pname version;
hash = "sha256-6zvtVPXADsmt2qogjFHM+gWUg9cxQM1RWqMzc3Fcblk=";
};
postPatch = ''
# As per https://github.com/explosion/thinc/releases/tag/release-v8.3.0 no
# code changes were required for NumPy 2.0. Thus Thinc should be compatible
# with NumPy 1.0 and 2.0.
substituteInPlace pyproject.toml setup.cfg \
--replace-fail "numpy>=2.0.0,<2.1.0" numpy
substituteInPlace setup.cfg \
--replace-fail "numpy>=2.0.1,<2.1.0" numpy
'';
build-system = [
blis
cymem
cython_0
murmurhash
numpy
preshed
setuptools
];
buildInputs = lib.optionals stdenv.isDarwin [
Accelerate
CoreFoundation
CoreGraphics
CoreVideo
];
dependencies = [
blis
catalogue
confection
cymem
murmurhash
numpy
preshed
pydantic
srsly
wasabi
] ++ lib.optionals (pythonOlder "3.8") [ typing-extensions ];
nativeCheckInputs = [
hypothesis
mock
pytestCheckHook
];
preCheck = ''
# avoid local paths, relative imports wont resolve correctly
mv thinc/tests tests
rm -r thinc
'';
pythonImportsCheck = [ "thinc" ];
meta = with lib; {
description = "Library for NLP machine learning";
homepage = "https://github.com/explosion/thinc";
changelog = "https://github.com/explosion/thinc/releases/tag/v${version}";
license = licenses.mit;
maintainers = with maintainers; [ aborsu ];
};
}
|
