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{ lib
, buildPythonPackage
, fetchFromGitHub
, matplotlib
, niapy
, numpy
, poetry-core
, pytestCheckHook
, pythonOlder
, scikit-learn
, toml-adapt
, tomli
, torch
}:
buildPythonPackage rec {
pname = "nianet";
version = "1.1.4";
pyproject = true;
disabled = pythonOlder "3.9";
src = fetchFromGitHub {
owner = "SasoPavlic";
repo = "nianet";
rev = "refs/tags/version_${version}";
sha256 = "sha256-FZipl6Z9AfiL6WH0kvUn8bVxt8JLdDVlmTSqnyxe0nY=";
};
nativeBuildInputs = [
poetry-core
toml-adapt
];
propagatedBuildInputs = [
niapy
numpy
scikit-learn
torch
];
# create niapy and torch dep version consistent
preBuild = ''
toml-adapt -path pyproject.toml -a change -dep niapy -ver X
toml-adapt -path pyproject.toml -a change -dep torch -ver X
'';
nativeCheckInputs = [
pytestCheckHook
tomli
];
pythonImportsCheck = [
"nianet"
];
meta = with lib; {
description = "Designing and constructing neural network topologies using nature-inspired algorithms";
homepage = "https://github.com/SasoPavlic/NiaNet";
changelog = "https://github.com/SasoPavlic/NiaNet/releases/tag/v${version}";
license = licenses.mit;
maintainers = with maintainers; [ firefly-cpp ];
};
}
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