53 lines
1.2 KiB
Nix
53 lines
1.2 KiB
Nix
{ lib
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, fetchFromGitHub
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, buildPythonPackage
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, numpy
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, scipy
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, torch
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, autograd
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, nose2
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, matplotlib
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, tensorflow
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}:
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buildPythonPackage rec {
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pname = "pymanopt";
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version = "2.0.1";
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src = fetchFromGitHub {
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owner = pname;
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repo = pname;
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rev = "refs/tags/${version}";
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sha256 = "sha256-VwCUqKI1PkR8nUVaa73bkTw67URKPaza3VU9g+rB+Mg=";
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};
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propagatedBuildInputs = [ numpy scipy torch ];
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checkInputs = [ nose2 autograd matplotlib tensorflow ];
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checkPhase = ''
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runHook preCheck
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# upstream themselves seem unsure about the robustness of these
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# tests - see https://github.com/pymanopt/pymanopt/issues/219
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grep -lr 'test_second_order_function_approximation' tests/ | while read -r fn ; do
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substituteInPlace "$fn" \
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--replace \
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'test_second_order_function_approximation' \
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'dont_test_second_order_function_approximation'
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done
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nose2 tests -v
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runHook postCheck
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'';
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pythonImportsCheck = [ "pymanopt" ];
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meta = {
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description = "Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation";
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homepage = "https://www.pymanopt.org/";
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license = lib.licenses.bsd3;
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maintainers = with lib.maintainers; [ yl3dy ];
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};
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}
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