nixpkgs/pkgs/development/python-modules/numba/default.nix
Martin Weinelt 7b8dbe2d73 python310Packages.numba: Backport support for numpy 1.24.x
This is a last ditch effort to keep numba working.
2023-03-03 23:57:12 +01:00

130 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 ];
};
}