Steve Kowalik
47b93afbaa
* Support both numpy 1 and 2 - Switch to pyproject macros. - No more greedy globs in %files. OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-fastcluster?expand=0&rev=17
96 lines
3.1 KiB
RPMSpec
96 lines
3.1 KiB
RPMSpec
#
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# spec file for package python-fastcluster
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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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Name: python-fastcluster
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Version: 1.2.6
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Release: 0
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Summary: Hierarchical clustering routines for Python
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License: BSD-2-Clause
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URL: https://github.com/dmuellner/fastcluster
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Source: https://files.pythonhosted.org/packages/source/f/fastcluster/fastcluster-%{version}.tar.gz
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# PATCH-FIX-UPSTREAM gh#fastcluster/fastcluster#94
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Patch0: support-numpy-2.patch
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module numpy-devel >= 1.9}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module scipy}
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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: gcc-c++
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BuildRequires: python-rpm-macros
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Requires: python-numpy
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Requires: python-scipy
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%python_subpackages
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%description
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This library provides Python functions for hierarchical clustering.
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It generates hierarchical clusters from distance matrices or from
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vector data.
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Part of this module is intended to replace the functions
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linkage, single, complete, average, weighted, centroid, median, ward
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in the module scipy.cluster.hierarchy with the same functionality but
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much faster algorithms. Moreover, the function 'linkage_vector'
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provides memory-efficient clustering for vector data.
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The interface is very similar to MATLAB's Statistics Toolbox API to
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make code easier to port from MATLAB to Python/Numpy. The core
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implementation of this library is in C++ for efficiency.
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%package -n %{name}-doc
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Summary: Documentation for %{name}
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Group: Documentation/Other
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Provides: %{python_module fastcluster-doc = %{version}}
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%description -n %{name}-doc
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Documentation and help files for %{name}.
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%prep
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%autosetup -p1 -n fastcluster-%{version}
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sed -i 's/\r$//' CITATION.txt
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sed -i 's/\r$//' NEWS.txt
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sed -i 's/\r$//' README.txt
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%build
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export CFLAGS="%{optflags}"
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%pyproject_wheel
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%install
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%pyproject_install
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%python_expand %fdupes %{buildroot}%{$python_sitearch}
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%check
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export LANG=en_US.UTF-8
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%pyunittest_arch -v tests
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%files %{python_files}
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%license COPYING.txt
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%doc CITATION.txt NEWS.txt README.txt
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%{python_sitearch}/fastcluster.py
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%{python_sitearch}/_fastcluster.cpython-*.so
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%pycache_only %{python_sitearch}/__pycache__/fastcluster.*.pyc
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%{python_sitearch}/fastcluster-%{version}.dist-info
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%files -n %{name}-doc
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%doc docs/fastcluster.pdf
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%changelog
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