python312Packages.pgmpy: 0.1.25 -> 0.1.26 (#342500)

  lib,

  buildPythonPackage,

  fetchFromGitHub,

  pythonAtLeast,

  pythonOlder,

  # build inputs

  # dependencies

  networkx,

  numpy,

  scipy,

  tqdm,

  joblib,

  opt-einsum,

  # check inputs

  xgboost,

  google-generativeai,

  # tests

  pytestCheckHook,

  pytest-cov,

  coverage,

  mock,

  black,

}:

let

buildPythonPackage rec {

  pname = "pgmpy";

  version = "0.1.25";

in

# optional-dependencies = {

#   all = [ daft ];

# };

buildPythonPackage {

  inherit pname version;

  format = "setuptools";

  disabled = pythonOlder "3.7";

  version = "0.1.26";

  pyproject = true;

  src = fetchFromGitHub {

    owner = "pgmpy";

    repo = pname;

    repo = "pgmpy";

    rev = "refs/tags/v${version}";

    hash = "sha256-d2TNcJQ82XxTWdetLgtKXRpFulAEEzrr+cyRewoA6YI=";

    hash = "sha256-RusVREhEXYaJuQXTaCQ7EJgbo4+wLB3wXXCAc3sBGtU=";

  };

  # TODO: Remove this patch after updating to pgmpy 0.1.26.

  # The PR https://github.com/pgmpy/pgmpy/pull/1745 will have been merged.

  # It contains the fix below, among other things, which is why we do not use fetchpatch.

  postPatch = lib.optionalString (pythonAtLeast "3.12") ''

    substituteInPlace pgmpy/tests/test_estimators/test_MarginalEstimator.py \

      --replace-fail 'self.assert_' 'self.assertTrue'

  '';

  propagatedBuildInputs = [

  dependencies = [

    networkx

    numpy

    scipy

    tqdm

    joblib

    opt-einsum

    xgboost

    google-generativeai

  ];

  disabledTests = [

    "test_to_daft" # requires optional dependency daft

    # flaky:

    # AssertionError: -45.78899127622197 != -45.788991276221964

    "test_score"

    # self.assertTrue(np.isclose(coef, dep_coefs[i], atol=1e-4))

    # AssertionError: False is not true

    "test_pillai"

    # requires optional dependency daft

    "test_to_daft"

  ];

  nativeCheckInputs = [

    black

  ];

  meta = with lib; {

  meta = {

    description = "Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks";

    homepage = "https://github.com/pgmpy/pgmpy";

    changelog = "https://github.com/pgmpy/pgmpy/releases/tag/v${version}";

    license = licenses.mit;

    maintainers = with maintainers; [ happysalada ];

    license = lib.licenses.mit;

    maintainers = with lib.maintainers; [ happysalada ];

  };

}