automatic import of python-discretizeopeneuler20.03

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diff --git a/.gitignore b/.gitignore
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+/discretize-0.8.3.tar.gz
diff --git a/python-discretize.spec b/python-discretize.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-discretize
+Version:	0.8.3
+Release:	1
+Summary:	Discretization tools for finite volume and inverse problems
+License:	MIT
+URL:		http://simpeg.xyz/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/3f/48/d047d6acdf1f91fe93d783b47d2ce67b455874f8add99e0447585321eba5/discretize-0.8.3.tar.gz
+
+Requires:	python3-numpy
+Requires:	python3-scipy
+
+%description
+**discretize** - A python package for finite volume discretization.
+The vision is to create a package for finite volume simulation with a
+focus on large scale inverse problems.
+This package has the following features:
+* modular with respect to the spacial discretization
+* built with the inverse problem in mind
+* supports 1D, 2D and 3D problems
+* access to sparse matrix operators
+* access to derivatives to mesh variables
+Currently, discretize supports:
+* Tensor Meshes (1D, 2D and 3D)
+* Cylindrically Symmetric Meshes
+* QuadTree and OcTree Meshes (2D and 3D)
+* Logically Rectangular Meshes (2D and 3D)
+* Triangular (2D) and Tetrahedral (3D) Meshes
+Installing
+^^^^^^^^^^
+**discretize** is on conda-forge
+    conda install -c conda-forge discretize
+**discretize** is on pypi
+    pip install discretize
+To install from source
+    git clone https://github.com/simpeg/discretize.git
+    python setup.py install
+Citing discretize
+^^^^^^^^^^^^^^^^^
+Please cite the SimPEG paper when using discretize in your work:
+    Cockett, R., Kang, S., Heagy, L. J., Pidlisecky, A., & Oldenburg, D. W. (2015). SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications. Computers & Geosciences.
+**BibTex:**
+    @article{cockett2015simpeg,
+      title={SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications},
+      author={Cockett, Rowan and Kang, Seogi and Heagy, Lindsey J and Pidlisecky, Adam and Oldenburg, Douglas W},
+      journal={Computers \& Geosciences},
+      year={2015},
+      publisher={Elsevier}
+    }
+Links
+^^^^^
+Website:
+http://simpeg.xyz
+Documentation:
+http://discretize.simpeg.xyz
+Code:
+https://github.com/simpeg/discretize
+Tests:
+https://travis-ci.org/simpeg/discretize
+Bugs & Issues:
+https://github.com/simpeg/discretize/issues
+Questions:
+http://simpeg.discourse.group/
+Chat:
+http://slack.simpeg.xyz/
+
+%package -n python3-discretize
+Summary:	Discretization tools for finite volume and inverse problems
+Provides:	python-discretize
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-discretize
+**discretize** - A python package for finite volume discretization.
+The vision is to create a package for finite volume simulation with a
+focus on large scale inverse problems.
+This package has the following features:
+* modular with respect to the spacial discretization
+* built with the inverse problem in mind
+* supports 1D, 2D and 3D problems
+* access to sparse matrix operators
+* access to derivatives to mesh variables
+Currently, discretize supports:
+* Tensor Meshes (1D, 2D and 3D)
+* Cylindrically Symmetric Meshes
+* QuadTree and OcTree Meshes (2D and 3D)
+* Logically Rectangular Meshes (2D and 3D)
+* Triangular (2D) and Tetrahedral (3D) Meshes
+Installing
+^^^^^^^^^^
+**discretize** is on conda-forge
+    conda install -c conda-forge discretize
+**discretize** is on pypi
+    pip install discretize
+To install from source
+    git clone https://github.com/simpeg/discretize.git
+    python setup.py install
+Citing discretize
+^^^^^^^^^^^^^^^^^
+Please cite the SimPEG paper when using discretize in your work:
+    Cockett, R., Kang, S., Heagy, L. J., Pidlisecky, A., & Oldenburg, D. W. (2015). SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications. Computers & Geosciences.
+**BibTex:**
+    @article{cockett2015simpeg,
+      title={SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications},
+      author={Cockett, Rowan and Kang, Seogi and Heagy, Lindsey J and Pidlisecky, Adam and Oldenburg, Douglas W},
+      journal={Computers \& Geosciences},
+      year={2015},
+      publisher={Elsevier}
+    }
+Links
+^^^^^
+Website:
+http://simpeg.xyz
+Documentation:
+http://discretize.simpeg.xyz
+Code:
+https://github.com/simpeg/discretize
+Tests:
+https://travis-ci.org/simpeg/discretize
+Bugs & Issues:
+https://github.com/simpeg/discretize/issues
+Questions:
+http://simpeg.discourse.group/
+Chat:
+http://slack.simpeg.xyz/
+
+%package help
+Summary:	Development documents and examples for discretize
+Provides:	python3-discretize-doc
+%description help
+**discretize** - A python package for finite volume discretization.
+The vision is to create a package for finite volume simulation with a
+focus on large scale inverse problems.
+This package has the following features:
+* modular with respect to the spacial discretization
+* built with the inverse problem in mind
+* supports 1D, 2D and 3D problems
+* access to sparse matrix operators
+* access to derivatives to mesh variables
+Currently, discretize supports:
+* Tensor Meshes (1D, 2D and 3D)
+* Cylindrically Symmetric Meshes
+* QuadTree and OcTree Meshes (2D and 3D)
+* Logically Rectangular Meshes (2D and 3D)
+* Triangular (2D) and Tetrahedral (3D) Meshes
+Installing
+^^^^^^^^^^
+**discretize** is on conda-forge
+    conda install -c conda-forge discretize
+**discretize** is on pypi
+    pip install discretize
+To install from source
+    git clone https://github.com/simpeg/discretize.git
+    python setup.py install
+Citing discretize
+^^^^^^^^^^^^^^^^^
+Please cite the SimPEG paper when using discretize in your work:
+    Cockett, R., Kang, S., Heagy, L. J., Pidlisecky, A., & Oldenburg, D. W. (2015). SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications. Computers & Geosciences.
+**BibTex:**
+    @article{cockett2015simpeg,
+      title={SimPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications},
+      author={Cockett, Rowan and Kang, Seogi and Heagy, Lindsey J and Pidlisecky, Adam and Oldenburg, Douglas W},
+      journal={Computers \& Geosciences},
+      year={2015},
+      publisher={Elsevier}
+    }
+Links
+^^^^^
+Website:
+http://simpeg.xyz
+Documentation:
+http://discretize.simpeg.xyz
+Code:
+https://github.com/simpeg/discretize
+Tests:
+https://travis-ci.org/simpeg/discretize
+Bugs & Issues:
+https://github.com/simpeg/discretize/issues
+Questions:
+http://simpeg.discourse.group/
+Chat:
+http://slack.simpeg.xyz/
+
+%prep
+%autosetup -n discretize-0.8.3
+
+%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-discretize -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.3-1
+- Package Spec generated
diff --git a/sources b/sources
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+89d53fad74d9c4ec17ab82c15d91808b  discretize-0.8.3.tar.gz