70 lines
1.6 KiB
Nix
70 lines
1.6 KiB
Nix
{ lib
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, buildPythonPackage
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, pythonOlder
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, fetchFromGitHub
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, setuptools
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, pybind11
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, numpy
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, pytestCheckHook
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, absl-py
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}:
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buildPythonPackage rec {
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pname = "ml-dtypes";
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version = "0.3.1";
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format = "pyproject";
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disabled = pythonOlder "3.9";
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src = fetchFromGitHub {
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owner = "jax-ml";
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repo = "ml_dtypes";
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rev = "refs/tags/v${version}";
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hash = "sha256-tuqB5itrAkT2b76rgRAJaOeng4V83TzPu400DPYrdKU=";
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# Since this upstream patch (https://github.com/jax-ml/ml_dtypes/commit/1bfd097e794413b0d465fa34f2eff0f3828ff521),
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# the attempts to use the nixpkgs packaged eigen dependency have failed.
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# Hence, we rely on the bundled eigen library.
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fetchSubmodules = true;
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};
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postPatch = ''
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substituteInPlace pyproject.toml \
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--replace "numpy~=1.21.2" "numpy" \
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--replace "numpy~=1.23.3" "numpy" \
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--replace "numpy~=1.26.0" "numpy" \
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--replace "pybind11~=2.11.1" "pybind11" \
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--replace "setuptools~=68.1.0" "setuptools"
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'';
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nativeBuildInputs = [
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setuptools
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pybind11
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];
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propagatedBuildInputs = [
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numpy
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];
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nativeCheckInputs = [
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pytestCheckHook
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absl-py
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];
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preCheck = ''
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# remove src module, so tests use the installed module instead
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mv ./ml_dtypes/tests ./tests
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rm -rf ./ml_dtypes
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'';
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pythonImportsCheck = [
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"ml_dtypes"
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];
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meta = with lib; {
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description = "A stand-alone implementation of several NumPy dtype extensions used in machine learning libraries";
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homepage = "https://github.com/jax-ml/ml_dtypes";
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license = licenses.asl20;
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maintainers = with maintainers; [ GaetanLepage samuela ];
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};
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}
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