66 lines
2.0 KiB
RPMSpec
66 lines
2.0 KiB
RPMSpec
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#
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# spec file for package python-cma
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#
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# Copyright (c) 2024 SUSE LLC
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# Copyright (c) 2020 Christoph Junghans
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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Name: python-cma
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Version: 4.0.0
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Release: 0
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Summary: Covariance Matrix Adaptation Evolution Strategy numerical optimizer
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License: BSD-3-Clause
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URL: https://github.com/CMA-ES/pycma
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Source0: https://github.com/CMA-ES/pycma/archive/r%{version}.tar.gz#/cma-%{version}.tar.gz
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module numpy-devel}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module wheel}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Requires: python-numpy
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Recommends: python-matplotlib
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BuildArch: noarch
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%python_subpackages
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%description
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A stochastic numerical optimization algorithm for difficult
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(non-convex, ill-conditioned, multi-modal, rugged, noisy) optimization
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problems in continuous search spaces, implemented in Python.
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%prep
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%autosetup -n pycma-r%{version}
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#Remove unneeded shebang
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sed -i '1d' cma/{bbobbenchmarks.py,purecma.py,test.py}
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%build
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%pyproject_wheel
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%install
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%pyproject_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%check
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%python_expand PYTHONPATH=%{buildroot}%{$python_sitelib} $python -m cma.test
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%files %{python_files}
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%license LICENSE
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%doc README.md
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%{python_sitelib}/cma
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%{python_sitelib}/cma-%{version}.dist-info
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%changelog
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