nixpkgs-suyu/pkgs/development/python-modules/numpy/default.nix

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{ lib, fetchPypi, python, buildPythonPackage, gfortran, pytest, blas, writeTextFile, isPyPy }:
let
blasImplementation = lib.nameFromURL blas.name "-";
cfg = writeTextFile {
name = "site.cfg";
text = (lib.generators.toINI {} {
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${blasImplementation} = {
include_dirs = "${blas}/include";
library_dirs = "${blas}/lib";
} // lib.optionalAttrs (blasImplementation == "mkl") {
mkl_libs = "mkl_rt";
lapack_libs = "";
};
});
};
in buildPythonPackage rec {
pname = "numpy";
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version = "1.17.2";
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src = fetchPypi {
inherit pname version;
extension = "zip";
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sha256 = "73615d3edc84dd7c4aeb212fa3748fb83217e00d201875a47327f55363cef2df";
};
nativeBuildInputs = [ gfortran pytest ];
buildInputs = [ blas ];
patches = lib.optionals python.hasDistutilsCxxPatch [
# We patch cpython/distutils to fix https://bugs.python.org/issue1222585
# Patching of numpy.distutils is needed to prevent it from undoing the
# patch to distutils.
./numpy-distutils-C++.patch
];
preConfigure = ''
sed -i 's/-faltivec//' numpy/distutils/system_info.py
export NPY_NUM_BUILD_JOBS=$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 = {
blas = blas;
inherit blasImplementation 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 = http://numpy.scipy.org/;
maintainers = with lib.maintainers; [ fridh ];
};
}