2020-04-24 23:36:52 +00:00
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{ lib
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2023-10-09 19:29:22 +00:00
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, stdenv
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2020-04-24 23:36:52 +00:00
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, buildPythonPackage
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, fetchFromGitHub
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2024-01-02 11:29:13 +00:00
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, fetchpatch
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, meson-python
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, pkg-config
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, Accelerate
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2020-04-24 23:36:52 +00:00
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, blas
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, lapack
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, numpy
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, scipy
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# check inputs
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2021-12-06 16:07:01 +00:00
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, pytestCheckHook
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2020-04-24 23:36:52 +00:00
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}:
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buildPythonPackage rec {
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2021-12-06 16:07:01 +00:00
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pname = "scs";
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version = "3.2.4";
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pyproject = true;
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2020-04-24 23:36:52 +00:00
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src = fetchFromGitHub {
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owner = "bodono";
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repo = "scs-python";
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2021-12-06 16:07:01 +00:00
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rev = version;
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hash = "sha256-UmMbnj7QZSvHWSUk1Qa0VP4i3iDCYHxoa+qBmEdFjRs=";
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2021-12-06 16:07:01 +00:00
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fetchSubmodules = true;
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2020-04-24 23:36:52 +00:00
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};
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2024-01-02 11:29:13 +00:00
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patches = [
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# needed for building against netlib's reference blas implementation and
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# the pkg-config patch. remove on next update
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(fetchpatch {
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name = "find-and-ld-lapack.patch";
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url = "https://github.com/bodono/scs-python/commit/a0aea80e7d490770d6a47d2c79396f6c3341c1f9.patch";
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hash = "sha256-yHF8f7SLoG7veZ6DEq1HVH6rT2KtFONwJtqSiKcxOdg=";
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})
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# add support for pkg-config. remove on next update
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(fetchpatch {
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name = "use-pkg-config.patch";
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url = "https://github.com/bodono/scs-python/commit/dd17e2e5282ebe85f2df8a7c6b25cfdeb894970d.patch";
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hash = "sha256-vSeSJeeu5Wx3RXPyB39YTo0RU8HtAojrUw85Q76/QzA=";
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})
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];
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nativeBuildInputs = [
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meson-python
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pkg-config
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];
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buildInputs = if stdenv.isDarwin then [
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Accelerate
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] else [
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blas
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2024-01-02 11:29:13 +00:00
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lapack
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];
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propagatedBuildInputs = [
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numpy
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scipy
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];
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2023-02-02 18:25:31 +00:00
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nativeCheckInputs = [ pytestCheckHook ];
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2020-04-24 23:36:52 +00:00
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pythonImportsCheck = [ "scs" ];
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2023-10-09 19:29:22 +00:00
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disabledTests = lib.lists.optional (stdenv.system == "x86_64-linux") [
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# `test/test_scs_rand.py` hang on "x86_64-linux" (https://github.com/NixOS/nixpkgs/pull/244532#pullrequestreview-1598095858)
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"test_feasible"
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"test_infeasibl"
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"test_unbounded"
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];
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2020-04-24 23:36:52 +00:00
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meta = with lib; {
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description = "Python interface for SCS: Splitting Conic Solver";
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longDescription = ''
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Solves convex cone programs via operator splitting.
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Can solve: linear programs (LPs), second-order cone programs (SOCPs), semidefinite programs (SDPs),
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exponential cone programs (ECPs), and power cone programs (PCPs), or problems with any combination of those cones.
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'';
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homepage = "https://github.com/cvxgrp/scs"; # upstream C package
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downloadPage = "https://github.com/bodono/scs-python";
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license = licenses.mit;
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maintainers = with maintainers; [ a-n-n-a-l-e-e drewrisinger ];
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2020-04-24 23:36:52 +00:00
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};
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}
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