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{
lib,
buildPythonPackage,
fetchFromGitHub,
# build-system
cython,
versioneer,
# dependencies
cons,
etuples,
filelock,
logical-unification,
minikanren,
numpy,
scipy,
typing-extensions,
# checks
jax,
jaxlib,
numba,
pytest-mock,
pytestCheckHook,
pythonOlder,
tensorflow-probability,
}:
buildPythonPackage rec {
pname = "pytensor";
version = "2.23.0";
pyproject = true;
disabled = pythonOlder "3.10";
src = fetchFromGitHub {
owner = "pymc-devs";
repo = "pytensor";
rev = "refs/tags/rel-${version}";
hash = "sha256-r7ooPwZSEsypYAf+oWu7leuoIK39gFfHZACrxsbcIV0=";
};
postPatch = ''
substituteInPlace pyproject.toml \
--replace "versioneer[toml]==0.28" "versioneer[toml]"
'';
build-system = [
cython
versioneer
];
dependencies = [
cons
etuples
filelock
logical-unification
minikanren
numpy
scipy
typing-extensions
];
nativeCheckInputs = [
jax
jaxlib
numba
pytest-mock
pytestCheckHook
tensorflow-probability
];
preBuild = ''
export HOME=$(mktemp -d)
'';
pythonImportsCheck = [ "pytensor" ];
disabledTests = [
# benchmarks (require pytest-benchmark):
"test_elemwise_speed"
"test_fused_elemwise_benchmark"
"test_logsumexp_benchmark"
"test_scan_multiple_output"
"test_vector_taps_benchmark"
];
disabledTestPaths = [
# Don't run the most compute-intense tests
"tests/scan/"
"tests/tensor/"
"tests/sparse/sandbox/"
];
meta = {
description = "Python library to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays";
mainProgram = "pytensor-cache";
homepage = "https://github.com/pymc-devs/pytensor";
changelog = "https://github.com/pymc-devs/pytensor/releases";
license = lib.licenses.bsd3;
maintainers = with lib.maintainers; [
bcdarwin
ferrine
];
};
}
|
