83405b6dd2
GitOrigin-RevId: ac718d02867a84b42522a0ece52d841188208f2c
129 lines
3.7 KiB
Nix
129 lines
3.7 KiB
Nix
{ lib
|
|
, stdenv
|
|
, pythonAtLeast
|
|
, pythonOlder
|
|
, fetchPypi
|
|
, python
|
|
, buildPythonPackage
|
|
, setuptools
|
|
, numpy
|
|
, llvmlite
|
|
, libcxx
|
|
, importlib-metadata
|
|
, substituteAll
|
|
, runCommand
|
|
, fetchpatch
|
|
|
|
# CUDA-only dependencies:
|
|
, addOpenGLRunpath ? null
|
|
, cudaPackages ? {}
|
|
|
|
# CUDA flags:
|
|
, cudaSupport ? false
|
|
}:
|
|
|
|
let
|
|
inherit (cudaPackages) cudatoolkit;
|
|
in buildPythonPackage rec {
|
|
version = "0.56.4";
|
|
pname = "numba";
|
|
format = "setuptools";
|
|
disabled = pythonOlder "3.6" || pythonAtLeast "3.11";
|
|
|
|
src = fetchPypi {
|
|
inherit pname version;
|
|
hash = "sha256-Mtn+9BLIFIPX7+DOts9NMxD96LYkqc7MoA95BXOslu4=";
|
|
};
|
|
|
|
postPatch = ''
|
|
substituteInPlace setup.py \
|
|
--replace 'max_numpy_run_version = "1.24"' 'max_numpy_run_version = "1.25"'
|
|
substituteInPlace numba/__init__.py \
|
|
--replace "elif numpy_version > (1, 23):" "elif numpy_version > (1, 24):"
|
|
'';
|
|
|
|
env.NIX_CFLAGS_COMPILE = lib.optionalString stdenv.isDarwin "-I${lib.getDev libcxx}/include/c++/v1";
|
|
|
|
nativeBuildInputs = [
|
|
numpy
|
|
] ++ lib.optionals cudaSupport [
|
|
addOpenGLRunpath
|
|
];
|
|
|
|
propagatedBuildInputs = [
|
|
numpy
|
|
llvmlite
|
|
setuptools
|
|
] ++ lib.optionals (pythonOlder "3.9") [
|
|
importlib-metadata
|
|
] ++ lib.optionals cudaSupport [
|
|
cudatoolkit
|
|
cudatoolkit.lib
|
|
];
|
|
|
|
patches = [
|
|
# fix failure in test_cache_invalidate (numba.tests.test_caching.TestCache)
|
|
# remove when upgrading past version 0.56
|
|
(fetchpatch {
|
|
name = "fix-test-cache-invalidate-readonly.patch";
|
|
url = "https://github.com/numba/numba/commit/993e8c424055a7677b2755b184fc9e07549713b9.patch";
|
|
hash = "sha256-IhIqRLmP8gazx+KWIyCxZrNLMT4jZT8CWD3KcH4KjOo=";
|
|
})
|
|
# Backport numpy 1.24 support from https://github.com/numba/numba/pull/8691
|
|
./numpy-1.24.patch
|
|
] ++ lib.optionals cudaSupport [
|
|
(substituteAll {
|
|
src = ./cuda_path.patch;
|
|
cuda_toolkit_path = cudatoolkit;
|
|
cuda_toolkit_lib_path = cudatoolkit.lib;
|
|
})
|
|
];
|
|
|
|
postFixup = lib.optionalString cudaSupport ''
|
|
find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
|
|
addOpenGLRunpath "$lib"
|
|
patchelf --set-rpath "${cudatoolkit}/lib:${cudatoolkit.lib}/lib:$(patchelf --print-rpath "$lib")" "$lib"
|
|
done
|
|
'';
|
|
|
|
# run a smoke test in a temporary directory so that
|
|
# a) Python picks up the installed library in $out instead of the build files
|
|
# b) we have somewhere to put $HOME so some caching tests work
|
|
# c) it doesn't take 6 CPU hours for the full suite
|
|
checkPhase = ''
|
|
runHook preCheck
|
|
|
|
pushd $(mktemp -d)
|
|
HOME=. ${python.interpreter} -m numba.runtests -m $NIX_BUILD_CORES numba.tests.test_usecases
|
|
popd
|
|
|
|
runHook postCheck
|
|
'';
|
|
|
|
pythonImportsCheck = [
|
|
"numba"
|
|
];
|
|
|
|
passthru.tests = {
|
|
# CONTRIBUTOR NOTE: numba also contains CUDA tests, though these cannot be run in
|
|
# this sandbox environment. Consider running similar commands to those below outside the
|
|
# sandbox manually if you have the appropriate hardware; support will be detected
|
|
# and the corresponding tests enabled automatically.
|
|
# Also, the full suite currently does not complete on anything but x86_64-linux.
|
|
fullSuite = runCommand "${pname}-test" {} ''
|
|
pushd $(mktemp -d)
|
|
# pip and python in $PATH is needed for the test suite to pass fully
|
|
PATH=${python.withPackages (p: [ p.numba p.pip ])}/bin:$PATH
|
|
HOME=$PWD python -m numba.runtests -m $NIX_BUILD_CORES
|
|
popd
|
|
touch $out # stop Nix from complaining no output was generated and failing the build
|
|
'';
|
|
};
|
|
|
|
meta = with lib; {
|
|
description = "Compiling Python code using LLVM";
|
|
homepage = "https://numba.pydata.org/";
|
|
license = licenses.bsd2;
|
|
maintainers = with maintainers; [ fridh ];
|
|
};
|
|
}
|