forked from pool/python-sparse
Dirk Mueller
0fd76e5612
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-sparse?expand=0&rev=27
81 lines
2.5 KiB
RPMSpec
81 lines
2.5 KiB
RPMSpec
#
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# spec file for package python-sparse
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#
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# Copyright (c) 2024 SUSE LLC
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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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%{?sle15_python_module_pythons}
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Name: python-sparse
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Version: 0.15.4
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Release: 0
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Summary: Sparse n-dimensional arrays for Python
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License: BSD-3-Clause
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URL: https://github.com/pydata/sparse
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Source: https://files.pythonhosted.org/packages/source/s/sparse/sparse-%{version}.tar.gz
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BuildRequires: %{python_module base >= 3.8}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module setuptools >= 64}
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BuildRequires: %{python_module setuptools_scm >= 8}
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BuildRequires: %{python_module wheel}
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# SECTION test requirements
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BuildRequires: %{python_module dask-array}
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BuildRequires: %{python_module numba >= 0.49}
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BuildRequires: %{python_module numpy >= 1.17}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module scipy >= 0.19}
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# /SECTION
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Requires: python-numba >= 0.49
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Requires: python-numpy >= 1.17
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Requires: python-scipy >= 0.19
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BuildArch: noarch
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%python_subpackages
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%description
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This module implements sparse multidimensional arrays on top of NumPy and
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Scipy.sparse. It generalizes the scipy.sparse.coo_matrix layout, but
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extends beyond just rows and columns to an arbitrary number of
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dimensions.
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The original motivation is for machine learning algorithms, but it is
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intended for somewhat general use.
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%prep
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%autosetup -p1 -n sparse-%{version}
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sed -i /addopts/d pytest.ini
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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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# 32bit fails in half of the test suite because the tests try to convert to 64bit types
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if [ $(getconf LONG_BIT) -eq 64 ]; then
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%pytest
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fi
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%files %{python_files}
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%doc README.rst docs/*.rst
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%license LICENSE
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%{python_sitelib}/sparse
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%{python_sitelib}/sparse-%{version}*-info
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%changelog
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