automatic import of python-genieclust

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+/genieclust-1.1.4.tar.gz
diff --git a/python-genieclust.spec b/python-genieclust.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-genieclust
+Version:	1.1.4
+Release:	1
+Summary:	Genie: Fast and Robust Hierarchical Clustering with Noise Points Detection
+License:	GNU Affero General Public License v3
+URL:		https://genieclust.gagolewski.com/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/5e/96/d8c0cc2ea4d062c96a10802bfaea6dd85f3d598d6a9e1a538ce998f1b68f/genieclust-1.1.4.tar.gz
+
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-cython
+Requires:	python3-matplotlib
+Requires:	python3-scikit-learn
+Requires:	python3-mlpack
+Requires:	python3-nmslib
+
+%description
+The file `src/c_scipy_rectangular_lsap.h` is adapted from the
+**scipy** project (https://scipy.org/scipylib/), source:
+`/scipy/optimize/rectangular_lsap/rectangular_lsap.cpp`.
+Author: Peter M. Larsen. Distributed under the BSD-3-Clause license.
+The implementation of internal cluster validity measures
+were adapted from our previous project (Gagolewski, Bartoszuk, Cena, 2021);
+see [optim_cvi](https://github.com/gagolews/optim_cvi).
+Originally distributed under the GNU Affero General Public License Version 3.
+## References
+Gagolewski M., genieclust: Fast and robust hierarchical clustering,
+*SoftwareX* **15**, 2021, 100722.
+[DOI: 10.1016/j.softx.2021.100722](https://doi.org/10.1016/j.softx.2021.100722).
+<https://genieclust.gagolewski.com>.
+Gagolewski M., Bartoszuk M., Cena A., Genie: A new, fast, and
+outlier-resistant hierarchical clustering algorithm, *Information
+Sciences* **363**, 2016, 8–23.
+[DOI: 10.1016/j.ins.2016.05.003](https://doi.org/10.1016/j.ins.2016.05.003).
+Gagolewski M., Bartoszuk M., Cena A., Are cluster validity measures (in)valid?,
+*Information Sciences* **581**, 2021, 620–636.
+[DOI: 10.1016/j.ins.2021.10.004](https://doi.org/10.1016/j.ins.2021.10.004).
+Gagolewski M., Cena A., Bartoszuk M., Brzozowski L.,
+*Clustering with minimum spanning trees: How good can it be?*, 2023,
+under review (preprint),
+[DOI: 10.48550/arXiv.2303.05679](https://doi.org/10.48550/arXiv.2303.05679).
+Gagolewski M., *Adjusted asymmetric accuracy: A well-behaving external
+cluster validity measure*, 2022, under review (preprint),
+[DOI: 10.48550/arXiv.2209.02935](https://doi.org/10.48550/arXiv.2209.02935).
+Gagolewski M., A Framework for Benchmarking Clustering Algorithms,
+*SoftwareX* **20**, 2022, 101270.
+[DOI: 10.1016/j.softx.2022.101270](https://doi.org/10.1016/j.softx.2022.101270).
+<https://clustering-benchmarks.gagolewski.com>.
+Campello R.J.G.B., Moulavi D., Sander J.,
+Density-based clustering based on hierarchical density estimates,
+*Lecture Notes in Computer Science* **7819**, 2013, 160–172.
+[DOI: 10.1007/978-3-642-37456-2_14](https://doi.org/10.1007/978-3-642-37456-2_14).
+Mueller A., Nowozin S., Lampert C.H., Information Theoretic Clustering
+using Minimum Spanning Trees, *DAGM-OAGM*, 2012.
+Rezaei M., Fränti P., Set matching measures for external cluster validity,
+*IEEE Transactions on Knowledge and Data Engineering* **28**(8), 2016,
+2173–2186 [DOI: 10.1109/TKDE.2016.2551240](https://doi.org/10.1109/TKDE.2016.2551240).
+See the package's [homepage](https://genieclust.gagolewski.com) for more
+references.
+
+%package -n python3-genieclust
+Summary:	Genie: Fast and Robust Hierarchical Clustering with Noise Points Detection
+Provides:	python-genieclust
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-genieclust
+The file `src/c_scipy_rectangular_lsap.h` is adapted from the
+**scipy** project (https://scipy.org/scipylib/), source:
+`/scipy/optimize/rectangular_lsap/rectangular_lsap.cpp`.
+Author: Peter M. Larsen. Distributed under the BSD-3-Clause license.
+The implementation of internal cluster validity measures
+were adapted from our previous project (Gagolewski, Bartoszuk, Cena, 2021);
+see [optim_cvi](https://github.com/gagolews/optim_cvi).
+Originally distributed under the GNU Affero General Public License Version 3.
+## References
+Gagolewski M., genieclust: Fast and robust hierarchical clustering,
+*SoftwareX* **15**, 2021, 100722.
+[DOI: 10.1016/j.softx.2021.100722](https://doi.org/10.1016/j.softx.2021.100722).
+<https://genieclust.gagolewski.com>.
+Gagolewski M., Bartoszuk M., Cena A., Genie: A new, fast, and
+outlier-resistant hierarchical clustering algorithm, *Information
+Sciences* **363**, 2016, 8–23.
+[DOI: 10.1016/j.ins.2016.05.003](https://doi.org/10.1016/j.ins.2016.05.003).
+Gagolewski M., Bartoszuk M., Cena A., Are cluster validity measures (in)valid?,
+*Information Sciences* **581**, 2021, 620–636.
+[DOI: 10.1016/j.ins.2021.10.004](https://doi.org/10.1016/j.ins.2021.10.004).
+Gagolewski M., Cena A., Bartoszuk M., Brzozowski L.,
+*Clustering with minimum spanning trees: How good can it be?*, 2023,
+under review (preprint),
+[DOI: 10.48550/arXiv.2303.05679](https://doi.org/10.48550/arXiv.2303.05679).
+Gagolewski M., *Adjusted asymmetric accuracy: A well-behaving external
+cluster validity measure*, 2022, under review (preprint),
+[DOI: 10.48550/arXiv.2209.02935](https://doi.org/10.48550/arXiv.2209.02935).
+Gagolewski M., A Framework for Benchmarking Clustering Algorithms,
+*SoftwareX* **20**, 2022, 101270.
+[DOI: 10.1016/j.softx.2022.101270](https://doi.org/10.1016/j.softx.2022.101270).
+<https://clustering-benchmarks.gagolewski.com>.
+Campello R.J.G.B., Moulavi D., Sander J.,
+Density-based clustering based on hierarchical density estimates,
+*Lecture Notes in Computer Science* **7819**, 2013, 160–172.
+[DOI: 10.1007/978-3-642-37456-2_14](https://doi.org/10.1007/978-3-642-37456-2_14).
+Mueller A., Nowozin S., Lampert C.H., Information Theoretic Clustering
+using Minimum Spanning Trees, *DAGM-OAGM*, 2012.
+Rezaei M., Fränti P., Set matching measures for external cluster validity,
+*IEEE Transactions on Knowledge and Data Engineering* **28**(8), 2016,
+2173–2186 [DOI: 10.1109/TKDE.2016.2551240](https://doi.org/10.1109/TKDE.2016.2551240).
+See the package's [homepage](https://genieclust.gagolewski.com) for more
+references.
+
+%package help
+Summary:	Development documents and examples for genieclust
+Provides:	python3-genieclust-doc
+%description help
+The file `src/c_scipy_rectangular_lsap.h` is adapted from the
+**scipy** project (https://scipy.org/scipylib/), source:
+`/scipy/optimize/rectangular_lsap/rectangular_lsap.cpp`.
+Author: Peter M. Larsen. Distributed under the BSD-3-Clause license.
+The implementation of internal cluster validity measures
+were adapted from our previous project (Gagolewski, Bartoszuk, Cena, 2021);
+see [optim_cvi](https://github.com/gagolews/optim_cvi).
+Originally distributed under the GNU Affero General Public License Version 3.
+## References
+Gagolewski M., genieclust: Fast and robust hierarchical clustering,
+*SoftwareX* **15**, 2021, 100722.
+[DOI: 10.1016/j.softx.2021.100722](https://doi.org/10.1016/j.softx.2021.100722).
+<https://genieclust.gagolewski.com>.
+Gagolewski M., Bartoszuk M., Cena A., Genie: A new, fast, and
+outlier-resistant hierarchical clustering algorithm, *Information
+Sciences* **363**, 2016, 8–23.
+[DOI: 10.1016/j.ins.2016.05.003](https://doi.org/10.1016/j.ins.2016.05.003).
+Gagolewski M., Bartoszuk M., Cena A., Are cluster validity measures (in)valid?,
+*Information Sciences* **581**, 2021, 620–636.
+[DOI: 10.1016/j.ins.2021.10.004](https://doi.org/10.1016/j.ins.2021.10.004).
+Gagolewski M., Cena A., Bartoszuk M., Brzozowski L.,
+*Clustering with minimum spanning trees: How good can it be?*, 2023,
+under review (preprint),
+[DOI: 10.48550/arXiv.2303.05679](https://doi.org/10.48550/arXiv.2303.05679).
+Gagolewski M., *Adjusted asymmetric accuracy: A well-behaving external
+cluster validity measure*, 2022, under review (preprint),
+[DOI: 10.48550/arXiv.2209.02935](https://doi.org/10.48550/arXiv.2209.02935).
+Gagolewski M., A Framework for Benchmarking Clustering Algorithms,
+*SoftwareX* **20**, 2022, 101270.
+[DOI: 10.1016/j.softx.2022.101270](https://doi.org/10.1016/j.softx.2022.101270).
+<https://clustering-benchmarks.gagolewski.com>.
+Campello R.J.G.B., Moulavi D., Sander J.,
+Density-based clustering based on hierarchical density estimates,
+*Lecture Notes in Computer Science* **7819**, 2013, 160–172.
+[DOI: 10.1007/978-3-642-37456-2_14](https://doi.org/10.1007/978-3-642-37456-2_14).
+Mueller A., Nowozin S., Lampert C.H., Information Theoretic Clustering
+using Minimum Spanning Trees, *DAGM-OAGM*, 2012.
+Rezaei M., Fränti P., Set matching measures for external cluster validity,
+*IEEE Transactions on Knowledge and Data Engineering* **28**(8), 2016,
+2173–2186 [DOI: 10.1109/TKDE.2016.2551240](https://doi.org/10.1109/TKDE.2016.2551240).
+See the package's [homepage](https://genieclust.gagolewski.com) for more
+references.
+
+%prep
+%autosetup -n genieclust-1.1.4
+
+%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-genieclust -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..d3d2be5
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+bc22dcce04f45683b4b241125d28f07c  genieclust-1.1.4.tar.gz