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{
lib,
stdenv,
buildPythonPackage,
fetchFromGitHub,
setuptools,
numpy,
scipy,
matplotlib,
plotly,
pandas,
hypothesis,
pytestCheckHook,
}:
buildPythonPackage rec {
pname = "synergy";
version = "1.0.0";
pyproject = true;
src = fetchFromGitHub {
owner = "djwooten";
repo = "synergy";
tag = "v${version}";
hash = "sha256-df5CBEcRx55/rSMc6ygMVrHbbEcnU1ISJheO+WoBSCI=";
};
build-system = [ setuptools ];
dependencies = [
numpy
scipy
matplotlib
plotly
pandas
];
nativeCheckInputs = [
hypothesis
pytestCheckHook
];
disabledTests = [
# flaky: hypothesis.errors.FailedHealthCheck
"test_asymptotic_limits"
"test_inverse"
# AssertionError: synthetic_BRAID_reference_1.csv
# E3=0 not in (0.10639582639915163, 1.6900177333904622)
"test_BRAID_fit_bootstrap"
]
++ lib.optionals stdenv.hostPlatform.isDarwin [
# AssertionError: np.False_ is not true
"test_fit_loewe_antagonism"
];
pythonImportsCheck = [ "synergy" ];
meta = {
description = "Python library for calculating, analyzing, and visualizing drug combination synergy";
homepage = "https://github.com/djwooten/synergy";
maintainers = [ ];
license = lib.licenses.gpl3Plus;
};
}
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