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{
lib,
buildPythonPackage,
fetchFromGitHub,
apricot-select,
numba,
numpy,
nose,
pytestCheckHook,
pythonOlder,
scikit-learn,
scipy,
setuptools,
torchvision,
tqdm,
}:
buildPythonPackage rec {
pname = "apricot-select";
version = "0.6.1";
pyproject = true;
disabled = pythonOlder "3.7";
src = fetchFromGitHub {
owner = "jmschrei";
repo = "apricot";
rev = "refs/tags/${version}";
hash = "sha256-v9BHFxmlbwXVipPze/nV35YijdFBuka3gAl85AlsffQ=";
};
postPatch = ''
sed -i '/"nose"/d' setup.py
'';
build-system = [ setuptools ];
dependencies = [
numba
numpy
scikit-learn
scipy
torchvision
tqdm
];
nativeCheckInputs = [
nose
pytestCheckHook
];
pythonImportsCheck = [ "apricot" ];
disabledTestPaths = [
# Tests require nose
"tests/test_optimizers/test_knapsack_facility_location.py"
"tests/test_optimizers/test_knapsack_feature_based.py"
];
# NOTE: These tests seem to be flaky.
disabledTests = [
"test_digits_modular"
"test_digits_modular_object"
"test_digits_modular_sparse"
"test_digits_sqrt_modular"
"test_digits_sqrt_modular_object"
"test_digits_sqrt_modular_sparse"
];
# NOTE: Tests are disabled by default because they can run for hours and timeout on Hydra.
doCheck = false;
passthru.tests.check = apricot-select.overridePythonAttrs { doCheck = true; };
meta = with lib; {
description = "Module for submodular optimization for the purpose of selecting subsets of massive data sets";
homepage = "https://github.com/jmschrei/apricot";
changelog = "https://github.com/jmschrei/apricot/releases/tag/${version}";
license = licenses.mit;
maintainers = with maintainers; [ fab ];
};
}
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