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{
lib,
buildPythonPackage,
fetchFromGitHub,
fetchpatch,
cython,
numpy,
# Check Inputs
pytestCheckHook,
python,
}:
buildPythonPackage rec {
pname = "fastdtw";
version = "0.3.4";
format = "setuptools";
src = fetchFromGitHub {
owner = "slaypni";
repo = "fastdtw";
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# Removes outdated cythonized C++ file, which doesn't match CPython.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" ];
nativeCheckInputs = [ pytestCheckHook ];
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 = {
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 = lib.licenses.mit;
maintainers = [ ];
};
}
|
