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{
lib,
buildPythonPackage,
fetchFromGitHub,
# dependencies
google-generativeai,
joblib,
networkx,
numpy,
opt-einsum,
pandas,
pyparsing,
pyro-ppl,
scikit-base,
scikit-learn,
scipy,
statsmodels,
torch,
tqdm,
xgboost,
# tests
pytestCheckHook,
pytest-cov-stub,
mock,
writableTmpDirAsHomeHook,
}:
buildPythonPackage (finalAttrs: {
pname = "pgmpy";
version = "1.0.0-unstable-2025-12-20";
pyproject = true;
src = fetchFromGitHub {
owner = "pgmpy";
repo = "pgmpy";
rev = "197e1e0444c77c00581a4c32763811e5b03f8503";
hash = "sha256-TCnn3GrITW8HCrYVeeythiULV130b6uulkijkPpJOqA=";
};
dependencies = [
google-generativeai
joblib
networkx
numpy
opt-einsum
pandas
pyparsing
pyro-ppl
scikit-base
scikit-learn
scipy
statsmodels
torch
tqdm
xgboost
];
disabledTests = [
# 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"
# AssertionError
"test_estimate_example_smoke_test"
"test_gcm"
];
enabledTestPaths = [
"pgmpy/tests"
];
disabledTestPaths = [
# requires network access
"pgmpy/tests/test_datasets"
# Very slow
"pgmpy/tests/test_estimators"
"pgmpy/tests/test_models"
];
nativeCheckInputs = [
pytestCheckHook
# xdoctest
pytest-cov-stub
mock
writableTmpDirAsHomeHook
];
pythonImportsCheck = [ "pgmpy" ];
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/${finalAttrs.src.tag}";
license = lib.licenses.mit;
maintainers = with lib.maintainers; [
happysalada
sarahec
];
};
})
|
