Unverified Commit 5f3726c1 authored by Nick Cao's avatar Nick Cao Committed by GitHub
Browse files

python3Packages.cma: 4.3.0 -> 4.4.0, python3Packages.pymoo: fix build (#448307)

parents 3cd40a7c bad08fc8
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+26 −12
Original line number Diff line number Diff line
@@ -2,19 +2,22 @@
  lib,
  buildPythonPackage,
  fetchFromGitHub,

  # build-system
  setuptools,

  # dependencies
  numpy,

  # tests
  python,
  pythonOlder,
  setuptools,
}:

buildPythonPackage rec {
  pname = "cma";
  version = "4.3.0";
  version = "4.4.0";
  pyproject = true;

  disabled = pythonOlder "3.7";

  src = fetchFromGitHub {
    owner = "CMA-ES";
    repo = "pycma";
@@ -22,22 +25,33 @@ buildPythonPackage rec {
    hash = "sha256-2uCn5CZma9RLK8zaaPhiQCqnK+2dWgLNr5+Ck2cV6vI=";
  };

  # setuptools.errors.PackageDiscoveryError:
  # Multiple top-level packages discovered in a flat-layout: ['cma', 'notebooks'].
  postPatch = ''
    rm -rf notebooks
  '';

  build-system = [ setuptools ];

  dependencies = [ numpy ];

  checkPhase = ''
  pythonImportsCheck = [ "cma" ];

  # At least one doctest fails, thus only limited amount of files is tested
    ${python.executable} -m cma.test interfaces.py purecma.py logger.py optimization_tools.py transformations.py
  checkPhase = ''
    ${python.executable} -m cma.test \
      interfaces.py \
      purecma.py \
      logger.py \
      optimization_tools.py \
      transformations.py
  '';

  pythonImportsCheck = [ "cma" ];

  meta = with lib; {
  meta = {
    description = "Library for Covariance Matrix Adaptation Evolution Strategy for non-linear numerical optimization";
    homepage = "https://github.com/CMA-ES/pycma";
    changelog = "https://github.com/CMA-ES/pycma/releases/tag/r${src.tag}";
    license = licenses.bsd3;
    changelog = "https://github.com/CMA-ES/pycma/releases/tag/${src.tag}";
    license = lib.licenses.bsd3;
    maintainers = [ ];
  };
}
+7 −7
Original line number Diff line number Diff line
@@ -52,11 +52,6 @@ buildPythonPackage rec {
        "ProgressBar() if progress else None" \
        "print('Missing alive_progress needed for progress=True!') if progress else None"

    substituteInPlace pymoo/algorithms/soo/nonconvex/es.py \
      --replace-fail "np.math.ceil" "np.ceil"
    substituteInPlace pymoo/util/mnn.py \
      --replace-fail "np.product" "np.prod"

    substituteInPlace pymoo/config.py \
      --replace-fail \
        "https://raw.githubusercontent.com/anyoptimization/pymoo-data/main/" \
@@ -81,9 +76,9 @@ buildPythonPackage rec {
    scipy
  ];

  preCheck = ''
  # Some tests require a grad backend to be configured, this is a hacky way to do so.
  # The choice must be either "jax.numpy" or "autograd.numpy"
  preCheck = ''
    echo 'from pymoo.gradient import activate; activate("autograd.numpy")' >> tests/conftest.py
  '';
  nativeCheckInputs = [
@@ -103,6 +98,11 @@ buildPythonPackage rec {
    # sensitive to float precision
    "test_cd_and_pcd"

    # AssertionError:
    # Not equal to tolerance rtol=0, atol=0.0001
    # Mismatched elements: 1200 / 1200 (100%)
    "test_pf"

    # TypeError: 'NoneType' object is not subscriptable
    "test_dascomp"
    "test_mw"