python310Packages.pgmpy: init at 0.1.23

{ lib

, buildPythonPackage

, fetchFromGitHub

, pythonOlder

# build inputs

, networkx

, numpy

, scipy

, scikit-learn

, pandas

, pyparsing

, torch

, statsmodels

, tqdm

, joblib

, opt-einsum

# check inputs

, pytestCheckHook

, pytest-cov

, coverage

, mock

, black

}:

let

  pname = "pgmpy";

  version = "0.1.23";

  # optional-dependencies = {

  #   all = [ daft ];

  # };

in

buildPythonPackage {

  inherit pname version;

  format = "setuptools";

  disabled = pythonOlder "3.7";

  src = fetchFromGitHub {

    owner = "pgmpy";

    repo = pname;

    rev = "v${version}";

    hash = "sha256-4NY37Awhu2mnfZQ/biN1wa9rkGHhTxfZm0+V7D83NR0=";

  };

  propagatedBuildInputs = [

    networkx

    numpy

    scipy

    scikit-learn

    pandas

    pyparsing

    torch

    statsmodels

    tqdm

    joblib

    opt-einsum

  ];

  disabledTests = [

    "test_to_daft" # requires optional dependency daft

  ];

  nativeCheckInputs = [

    pytestCheckHook

    # xdoctest

    pytest-cov

    coverage

    mock

    black

  ];

  meta = with lib; {

    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 ];

  };

}

  pencompy = callPackage ../development/python-modules/pencompy { };

  pgmpy = callPackage ../development/python-modules/pgmpy { };

  phonopy = callPackage ../development/python-modules/phonopy { };

  pixcat = callPackage ../development/python-modules/pixcat { };