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{
lib,
buildPythonPackage,
fetchFromGitHub,
setuptools,
numpy,
pmdarima,
scikit-learn,
scipy,
pytestCheckHook,
}:
buildPythonPackage rec {
pname = "tbats";
version = "1.1.3";
pyproject = true;
src = fetchFromGitHub {
owner = "intive-DataScience";
repo = "tbats";
rev = version;
hash = "sha256-f6QqDq/ffbnFBZRAT6KQRlqvZZSE+Pff2/o+htVabZI=";
};
nativeBuildInputs = [ setuptools ];
propagatedBuildInputs = [
numpy
pmdarima
scikit-learn
scipy
];
nativeCheckInputs = [ pytestCheckHook ];
enabledTestPaths = [
# test_R folder is just for comparison of results with R lib
# we need only test folder
"test/"
];
# several tests has same name, so we use --deselect instead of disableTests
dilsabledTestPaths = [
# Test execution is too long > 15 min
"test/tbats/TBATS_test.py::TestTBATS::test_fit_predict_trigonometric_seasonal"
];
pythonImportsCheck = [ "tbats" ];
meta = {
description = "BATS and TBATS forecasting methods";
homepage = "https://github.com/intive-DataScience/tbats";
changelog = "https://github.com/intive-DataScience/tbats/releases/tag/${src.rev}";
license = lib.licenses.mit;
maintainers = [ ];
};
}
|
