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