nixpkgs/pkgs/development/python-modules/fastdtw/default.nix
Drew Risinger ee3226bc65 pythonPackages.fastdtw: init at 0.3.4
Fast implementation of Dynamic Time Warping algorithm.

Dependency for qiskit-aqua.
2020-02-25 07:59:36 -08:00

66 lines
1.6 KiB
Nix

{ lib
, buildPythonPackage
, fetchFromGitHub
, fetchpatch
, cython
, numpy
# Check Inputs
, pytestCheckHook
, python
}:
buildPythonPackage rec {
pname = "fastdtw";
version = "0.3.4";
src = fetchFromGitHub {
owner = "slaypni";
repo = pname;
rev = "v${version}";
sha256 = "0irc5x4ahfp7f7q4ic97qa898s2awi0vdjznahxrfjirn8b157dw";
};
patches = [
# Removes outdated cythonized C++ file, which doesn't match CPython. Will be auto-used if left.
# Remove when PR 40 merged
(fetchpatch {
url = "https://patch-diff.githubusercontent.com/raw/slaypni/fastdtw/pull/40.patch";
sha256 = "0xjma0h84bk1n32wgk99rwfc85scp187a7fykhnylmcc73ppal9q";
})
];
nativeBuildInputs = [
cython
];
propagatedBuildInputs = [
numpy
];
pythonImportsCheck = [ "fastdtw.fastdtw" ];
checkInputs = [ pytestCheckHook ];
dontUseSetuptoolsCheck = true; # looks for pytest-runner
preCheck = ''
echo "Temporarily moving tests to $OUT to find cython modules"
export PACKAGEDIR=$out/${python.sitePackages}
cp -r $TMP/source/tests $PACKAGEDIR
pushd $PACKAGEDIR
'';
postCheck = ''
rm -rf tests
popd
'';
meta = with lib; {
description = "Python implementation of FastDTW (Dynamic Time Warping)";
longDescription = ''
FastDTW is an approximate Dynamic Time Warping (DTW) algorithm that provides
optimal or near-optimal alignments with an O(N) time and memory complexity.
'';
homepage = "https://github.com/slaypni/fastdtw";
license = licenses.mit;
maintainers = with maintainers; [ drewrisinger ];
};
}