depot/third_party/nixpkgs/pkgs/development/python-modules/numpy/default.nix
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GitOrigin-RevId: 2c3273caa153ee8eb5786bc8141b85b859e7efd7
2020-04-24 19:36:52 -04:00

86 lines
2.1 KiB
Nix

{ lib
, fetchPypi
, python
, buildPythonPackage
, gfortran
, pytest
, blas
, lapack
, writeTextFile
, isPyPy
, cython
, setuptoolsBuildHook
}:
assert (!blas.isILP64) && (!lapack.isILP64);
let
cfg = writeTextFile {
name = "site.cfg";
text = (lib.generators.toINI {} {
${blas.implementation} = {
include_dirs = "${lib.getDev blas}/include:${lib.getDev lapack}/include";
library_dirs = "${blas}/lib:${lapack}/lib";
libraries = "lapack,lapacke,blas,cblas";
};
});
};
in buildPythonPackage rec {
pname = "numpy";
version = "1.18.1";
format = "pyproject.toml";
src = fetchPypi {
inherit pname version;
extension = "zip";
sha256 = "b6ff59cee96b454516e47e7721098e6ceebef435e3e21ac2d6c3b8b02628eb77";
};
nativeBuildInputs = [ gfortran pytest cython setuptoolsBuildHook ];
buildInputs = [ blas lapack ];
patches = lib.optionals python.hasDistutilsCxxPatch [
# We patch cpython/distutils to fix https://bugs.python.org/issue1222585
# Patching of numpy.distutils is needed to prevent it from undoing the
# patch to distutils.
./numpy-distutils-C++.patch
];
preConfigure = ''
sed -i 's/-faltivec//' numpy/distutils/system_info.py
export NPY_NUM_BUILD_JOBS=$NIX_BUILD_CORES
'';
preBuild = ''
ln -s ${cfg} site.cfg
'';
enableParallelBuilding = true;
doCheck = !isPyPy; # numpy 1.16+ hits a bug in pypy's ctypes, using either numpy or pypy HEAD fixes this (https://github.com/numpy/numpy/issues/13807)
checkPhase = ''
runHook preCheck
pushd dist
${python.interpreter} -c 'import numpy; numpy.test("fast", verbose=10)'
popd
runHook postCheck
'';
passthru = {
# just for backwards compatibility
blas = blas.provider;
blasImplementation = blas.implementation;
inherit cfg;
};
# Disable test
# - test_large_file_support: takes a long time and can cause the machine to run out of disk space
NOSE_EXCLUDE="test_large_file_support";
meta = {
description = "Scientific tools for Python";
homepage = "https://numpy.org/";
maintainers = with lib.maintainers; [ fridh ];
};
}