at 24.05-pre 1.6 kB view raw
1{ lib 2, buildPythonPackage 3, fetchFromGitHub 4, fetchpatch 5, cython 6, numpy 7 # Check Inputs 8, pytestCheckHook 9, python 10}: 11 12buildPythonPackage rec { 13 pname = "fastdtw"; 14 version = "0.3.4"; 15 16 src = fetchFromGitHub { 17 owner = "slaypni"; 18 repo = pname; 19 rev = "v${version}"; 20 sha256 = "0irc5x4ahfp7f7q4ic97qa898s2awi0vdjznahxrfjirn8b157dw"; 21 }; 22 23 patches = [ 24 # Removes outdated cythonized C++ file, which doesn't match CPython. Will be auto-used if left. 25 # Remove when PR 40 merged 26 (fetchpatch { 27 url = "https://patch-diff.githubusercontent.com/raw/slaypni/fastdtw/pull/40.patch"; 28 sha256 = "0xjma0h84bk1n32wgk99rwfc85scp187a7fykhnylmcc73ppal9q"; 29 }) 30 ]; 31 32 nativeBuildInputs = [ 33 cython 34 ]; 35 36 propagatedBuildInputs = [ 37 numpy 38 ]; 39 40 pythonImportsCheck = [ "fastdtw.fastdtw" ]; 41 nativeCheckInputs = [ pytestCheckHook ]; 42 dontUseSetuptoolsCheck = true; # looks for pytest-runner 43 preCheck = '' 44 echo "Temporarily moving tests to $OUT to find cython modules" 45 export PACKAGEDIR=$out/${python.sitePackages} 46 cp -r $TMP/source/tests $PACKAGEDIR 47 pushd $PACKAGEDIR 48 ''; 49 postCheck = '' 50 rm -rf tests 51 popd 52 ''; 53 54 55 meta = with lib; { 56 description = "Python implementation of FastDTW (Dynamic Time Warping)"; 57 longDescription = '' 58 FastDTW is an approximate Dynamic Time Warping (DTW) algorithm that provides 59 optimal or near-optimal alignments with an O(N) time and memory complexity. 60 ''; 61 homepage = "https://github.com/slaypni/fastdtw"; 62 license = licenses.mit; 63 maintainers = with maintainers; [ drewrisinger ]; 64 }; 65}