automatic import of python-fastcluster

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+%global _empty_manifest_terminate_build 0
+Name:		python-fastcluster
+Version:	1.2.6
+Release:	1
+Summary:	Fast hierarchical clustering routines for R and Python.
+License:	BSD <http://opensource.org/licenses/BSD-2-Clause>
+URL:		http://danifold.net
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/5d/b8/f143d907d93bd4a3dd51d07c4e79b37bedbfc2177f4949bfa0d6ba0af647/fastcluster-1.2.6.tar.gz
+
+Requires:	python3-numpy
+Requires:	python3-scipy
+
+%description
+
+This library provides Python functions for hierarchical clustering. It
+generates hierarchical clusters from distance matrices or from vector data.
+
+This module is intended to replace the functions
+```
+    linkage, single, complete, average, weighted, centroid, median, ward
+```
+in the module [`scipy.cluster.hierarchy`](
+https://docs.scipy.org/doc/scipy/reference/cluster.hierarchy.html) with the same
+functionality but much faster algorithms. Moreover, the function
+`linkage_vector` provides memory-efficient clustering for vector data.
+
+The interface is very similar to MATLAB's Statistics Toolbox API to make code
+easier to port from MATLAB to Python/NumPy. The core implementation of this
+library is in C++ for efficiency.
+
+**User manual:** [fastcluster.pdf](
+https://github.com/dmuellner/fastcluster/raw/master/docs/fastcluster.pdf).
+
+The “Yule” distance function changed in fastcluster version 1.2.0. This is
+following a [change in SciPy 1.6.3](
+https://github.com/scipy/scipy/commit/3b22d1da98dc1b5f64bc944c21f398d4ba782bce).
+It is recommended to use fastcluster version 1.1.x together with SciPy versions
+before 1.6.3 and fastcluster 1.2.x with SciPy ≥1.6.3.
+
+The fastcluster package is considered stable and will undergo few changes
+from now on. If some years from now there have not been any updates, this does
+not necessarily mean that the package is unmaintained but maybe it just was
+not necessary to correct anything. Of course, please still report potential
+bugs and incompatibilities to daniel@danifold.net. You may also use
+[my GitHub repository](https://github.com/dmuellner/fastcluster/)
+for bug reports, pull requests etc.
+
+Note that [PyPI](https://pypi.org/project/fastcluster/) and [my GitHub
+repository](https://github.com/dmuellner/fastcluster/) host the source code
+for the Python interface only. The archive with both the R and the Python
+interface is available on
+[CRAN](https://CRAN.R-project.org/package=fastcluster) and the GitHub repository
+[“cran/fastcluster”](https://github.com/cran/fastcluster). Even though I appear
+as the author also of this second GitHub repository, this is just an automatic,
+read-only mirror of the CRAN archive, so please do not attempt to report bugs or
+contact me via this repository.
+
+Installation files for Windows are provided on [PyPI](
+https://pypi.org/project/fastcluster/#files) and on [Christoph Gohlke's web
+page](http://www.lfd.uci.edu/~gohlke/pythonlibs/#fastcluster).
+
+Christoph Dalitz wrote a pure [C++ interface to fastcluster](
+https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/).
+
+Reference: Daniel Müllner, *fastcluster: Fast Hierarchical, Agglomerative
+Clustering Routines for R and Python*, Journal of Statistical Software, **53**
+(2013), no. 9, 1–18, https://doi.org/10.18637/jss.v053.i09.
+
+
+
+
+%package -n python3-fastcluster
+Summary:	Fast hierarchical clustering routines for R and Python.
+Provides:	python-fastcluster
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-fastcluster
+
+This library provides Python functions for hierarchical clustering. It
+generates hierarchical clusters from distance matrices or from vector data.
+
+This module is intended to replace the functions
+```
+    linkage, single, complete, average, weighted, centroid, median, ward
+```
+in the module [`scipy.cluster.hierarchy`](
+https://docs.scipy.org/doc/scipy/reference/cluster.hierarchy.html) with the same
+functionality but much faster algorithms. Moreover, the function
+`linkage_vector` provides memory-efficient clustering for vector data.
+
+The interface is very similar to MATLAB's Statistics Toolbox API to make code
+easier to port from MATLAB to Python/NumPy. The core implementation of this
+library is in C++ for efficiency.
+
+**User manual:** [fastcluster.pdf](
+https://github.com/dmuellner/fastcluster/raw/master/docs/fastcluster.pdf).
+
+The “Yule” distance function changed in fastcluster version 1.2.0. This is
+following a [change in SciPy 1.6.3](
+https://github.com/scipy/scipy/commit/3b22d1da98dc1b5f64bc944c21f398d4ba782bce).
+It is recommended to use fastcluster version 1.1.x together with SciPy versions
+before 1.6.3 and fastcluster 1.2.x with SciPy ≥1.6.3.
+
+The fastcluster package is considered stable and will undergo few changes
+from now on. If some years from now there have not been any updates, this does
+not necessarily mean that the package is unmaintained but maybe it just was
+not necessary to correct anything. Of course, please still report potential
+bugs and incompatibilities to daniel@danifold.net. You may also use
+[my GitHub repository](https://github.com/dmuellner/fastcluster/)
+for bug reports, pull requests etc.
+
+Note that [PyPI](https://pypi.org/project/fastcluster/) and [my GitHub
+repository](https://github.com/dmuellner/fastcluster/) host the source code
+for the Python interface only. The archive with both the R and the Python
+interface is available on
+[CRAN](https://CRAN.R-project.org/package=fastcluster) and the GitHub repository
+[“cran/fastcluster”](https://github.com/cran/fastcluster). Even though I appear
+as the author also of this second GitHub repository, this is just an automatic,
+read-only mirror of the CRAN archive, so please do not attempt to report bugs or
+contact me via this repository.
+
+Installation files for Windows are provided on [PyPI](
+https://pypi.org/project/fastcluster/#files) and on [Christoph Gohlke's web
+page](http://www.lfd.uci.edu/~gohlke/pythonlibs/#fastcluster).
+
+Christoph Dalitz wrote a pure [C++ interface to fastcluster](
+https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/).
+
+Reference: Daniel Müllner, *fastcluster: Fast Hierarchical, Agglomerative
+Clustering Routines for R and Python*, Journal of Statistical Software, **53**
+(2013), no. 9, 1–18, https://doi.org/10.18637/jss.v053.i09.
+
+
+
+
+%package help
+Summary:	Development documents and examples for fastcluster
+Provides:	python3-fastcluster-doc
+%description help
+
+This library provides Python functions for hierarchical clustering. It
+generates hierarchical clusters from distance matrices or from vector data.
+
+This module is intended to replace the functions
+```
+    linkage, single, complete, average, weighted, centroid, median, ward
+```
+in the module [`scipy.cluster.hierarchy`](
+https://docs.scipy.org/doc/scipy/reference/cluster.hierarchy.html) with the same
+functionality but much faster algorithms. Moreover, the function
+`linkage_vector` provides memory-efficient clustering for vector data.
+
+The interface is very similar to MATLAB's Statistics Toolbox API to make code
+easier to port from MATLAB to Python/NumPy. The core implementation of this
+library is in C++ for efficiency.
+
+**User manual:** [fastcluster.pdf](
+https://github.com/dmuellner/fastcluster/raw/master/docs/fastcluster.pdf).
+
+The “Yule” distance function changed in fastcluster version 1.2.0. This is
+following a [change in SciPy 1.6.3](
+https://github.com/scipy/scipy/commit/3b22d1da98dc1b5f64bc944c21f398d4ba782bce).
+It is recommended to use fastcluster version 1.1.x together with SciPy versions
+before 1.6.3 and fastcluster 1.2.x with SciPy ≥1.6.3.
+
+The fastcluster package is considered stable and will undergo few changes
+from now on. If some years from now there have not been any updates, this does
+not necessarily mean that the package is unmaintained but maybe it just was
+not necessary to correct anything. Of course, please still report potential
+bugs and incompatibilities to daniel@danifold.net. You may also use
+[my GitHub repository](https://github.com/dmuellner/fastcluster/)
+for bug reports, pull requests etc.
+
+Note that [PyPI](https://pypi.org/project/fastcluster/) and [my GitHub
+repository](https://github.com/dmuellner/fastcluster/) host the source code
+for the Python interface only. The archive with both the R and the Python
+interface is available on
+[CRAN](https://CRAN.R-project.org/package=fastcluster) and the GitHub repository
+[“cran/fastcluster”](https://github.com/cran/fastcluster). Even though I appear
+as the author also of this second GitHub repository, this is just an automatic,
+read-only mirror of the CRAN archive, so please do not attempt to report bugs or
+contact me via this repository.
+
+Installation files for Windows are provided on [PyPI](
+https://pypi.org/project/fastcluster/#files) and on [Christoph Gohlke's web
+page](http://www.lfd.uci.edu/~gohlke/pythonlibs/#fastcluster).
+
+Christoph Dalitz wrote a pure [C++ interface to fastcluster](
+https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/).
+
+Reference: Daniel Müllner, *fastcluster: Fast Hierarchical, Agglomerative
+Clustering Routines for R and Python*, Journal of Statistical Software, **53**
+(2013), no. 9, 1–18, https://doi.org/10.18637/jss.v053.i09.
+
+
+
+
+%prep
+%autosetup -n fastcluster-1.2.6
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-fastcluster -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.6-1
+- Package Spec generated