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{
lib,
config,
buildPythonPackage,
fetchFromGitHub,
# build-system
meson-python,
# tests
array-api-strict,
dask,
jax,
jaxlib,
numpy,
pytestCheckHook,
sparse,
torch,
cupy,
cudaSupport ? config.cudaSupport,
}:
buildPythonPackage (finalAttrs: {
pname = "array-api-compat";
version = "1.15";
pyproject = true;
__structuredAttrs = true;
src = fetchFromGitHub {
owner = "data-apis";
repo = "array-api-compat";
tag = finalAttrs.version;
hash = "sha256-z6B+lOYciT71Uz3Py9M/8x7R+8IZ46nd8i8AYot5Rlo=";
};
build-system = [
meson-python
];
nativeCheckInputs = [
array-api-strict
dask
jax
jaxlib
numpy
pytestCheckHook
sparse
torch
]
++ lib.optionals cudaSupport [ cupy ];
pythonImportsCheck = [ "array_api_compat" ];
# Otherwise, cupy will try to write in $HOME (/homeless-shelter)
preCheck = ''
export CUPY_CACHE_DIR=$(mktemp -d)
'';
disabledTests = [
# CUDA (used via cupy) is not available in the testing sandbox
"cupy"
# ValueError: api_version='2024.12' is not available; available versions are: ['2025.12']
"test_array_namespace[jax.numpy-2024.12-False]"
"test_array_namespace[jax.numpy-2024.12-None]"
];
meta = {
description = "Compatibility layer for NumPy to support the Python array API";
homepage = "https://data-apis.org/array-api-compat";
changelog = "https://github.com/data-apis/array-api-compat/releases/tag/${finalAttrs.src.tag}";
license = lib.licenses.mit;
maintainers = with lib.maintainers; [ berquist ];
};
})
|
