pkgs/development/python-modules/opentsne/default.nix

   1 { lib
   2 , buildPythonPackage
   3 , fetchFromGitHub
   4 , cython
   5 , numpy
   6 , oldest-supported-numpy
   7 , scipy
   8 , scikit-learn
   9 , pytestCheckHook
  10 , nix-update-script
  11 , setuptools
  12 , wheel
  13 }:
  14
  15 let
  16   self = buildPythonPackage rec {
  17     pname = "opentsne";
  18     version = "1.0.0";
  19     format = "pyproject";
  20
  21     src = fetchFromGitHub {
  22       owner = "pavlin-policar";
  23       repo = "openTSNE";
  24       rev = "v${version}";
  25       hash = "sha256-L5Qx6dMJlXF3EaWwlFTQ3dkhGXc5PvQBXYJo+QO+Hxc=";
  26     };
  27
  28     nativeBuildInputs = [
  29       cython
  30       oldest-supported-numpy
  31       setuptools
  32       wheel
  33     ];
  34
  35     propagatedBuildInputs = [ numpy scipy scikit-learn ];
  36
  37     pythonImportsCheck = [ "openTSNE" ];
  38     doCheck = false;
  39
  40     passthru = {
  41       updateScript = nix-update-script {};
  42       tests.pytest = self.overridePythonAttrs (old: {
  43         pname = "${old.pname}-tests";
  44         format = "other";
  45
  46         postPatch = "rm openTSNE -rf";
  47
  48         doBuild = false;
  49         doInstall = false;
  50
  51         doCheck = true;
  52         nativeCheckInputs = [ pytestCheckHook self ];
  53       });
  54     };
  55
  56     meta = {
  57       description = "Modular Python implementation of t-Distributed Stochasitc Neighbor Embedding";
  58       homepage = "https://github.com/pavlin-policar/openTSNE";
  59       changelog = "https://github.com/pavlin-policar/openTSNE/releases/tag/${version}";
  60       license = [ lib.licenses.bsd3 ];
  61       maintainers = [ lib.maintainers.lucasew ];
  62     };
  63   };
  64 in self