forked from mirrors/nixpkgs
95 lines
2.3 KiB
Nix
95 lines
2.3 KiB
Nix
{ lib
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, fetchPypi
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, python
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, buildPythonPackage
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, gfortran
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, pytest
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, blas
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, lapack
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, writeTextFile
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, isPyPy
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, cython
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, setuptoolsBuildHook
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}:
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assert (!blas.isILP64) && (!lapack.isILP64);
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let
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cfg = writeTextFile {
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name = "site.cfg";
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text = (lib.generators.toINI {} {
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${blas.implementation} = {
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include_dirs = "${lib.getDev blas}/include:${lib.getDev lapack}/include";
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library_dirs = "${blas}/lib:${lapack}/lib";
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libraries = "lapack,lapacke,blas,cblas";
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};
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lapack = {
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include_dirs = "${lib.getDev lapack}/include";
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library_dirs = "${lapack}/lib";
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};
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blas = {
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include_dirs = "${lib.getDev blas}/include";
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library_dirs = "${blas}/lib";
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};
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});
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};
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in buildPythonPackage rec {
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pname = "numpy";
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version = "1.18.5";
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format = "pyproject.toml";
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src = fetchPypi {
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inherit pname version;
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extension = "zip";
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sha256 = "34e96e9dae65c4839bd80012023aadd6ee2ccb73ce7fdf3074c62f301e63120b";
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};
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nativeBuildInputs = [ gfortran pytest cython setuptoolsBuildHook ];
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buildInputs = [ blas lapack ];
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patches = lib.optionals python.hasDistutilsCxxPatch [
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# We patch cpython/distutils to fix https://bugs.python.org/issue1222585
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# Patching of numpy.distutils is needed to prevent it from undoing the
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# patch to distutils.
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./numpy-distutils-C++.patch
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];
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preConfigure = ''
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sed -i 's/-faltivec//' numpy/distutils/system_info.py
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export NPY_NUM_BUILD_JOBS=$NIX_BUILD_CORES
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'';
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preBuild = ''
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ln -s ${cfg} site.cfg
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'';
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enableParallelBuilding = true;
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doCheck = !isPyPy; # numpy 1.16+ hits a bug in pypy's ctypes, using either numpy or pypy HEAD fixes this (https://github.com/numpy/numpy/issues/13807)
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checkPhase = ''
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runHook preCheck
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pushd dist
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${python.interpreter} -c 'import numpy; numpy.test("fast", verbose=10)'
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popd
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runHook postCheck
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'';
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passthru = {
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# just for backwards compatibility
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blas = blas.provider;
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blasImplementation = blas.implementation;
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inherit cfg;
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};
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# Disable test
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# - test_large_file_support: takes a long time and can cause the machine to run out of disk space
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NOSE_EXCLUDE="test_large_file_support";
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meta = {
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description = "Scientific tools for Python";
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homepage = "https://numpy.org/";
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maintainers = with lib.maintainers; [ fridh ];
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};
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}
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