automatic import of python-chi2comb

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diff --git a/.gitignore b/.gitignore
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+/chi2comb-0.1.0.tar.gz
diff --git a/python-chi2comb.spec b/python-chi2comb.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-chi2comb
+Version:	0.1.0
+Release:	1
+Summary:	Linear combination of independent noncentral chi-squared random variables
+License:	MIT
+URL:		https://github.com/limix/chi2comb-py
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/bf/5c/7f5d45ff036085c4b623d79cfbf27f3623972c23682968c320d83ec3957b/chi2comb-0.1.0.tar.gz
+
+Requires:	python3-cffi
+Requires:	python3-pytest
+Requires:	python3-pytest-doctestplus
+
+%description
+# chi2comb
+
+[![Travis](https://img.shields.io/travis/com/limix/chi2comb-py.svg?style=flat-square&label=linux%20%2F%20macos%20build)](https://travis-ci.com/limix/chi2comb-py) [![AppVeyor](https://img.shields.io/appveyor/ci/Horta/chi2comb-py.svg?style=flat-square&label=windows%20build)](https://ci.appveyor.com/project/Horta/chi2comb-py)
+
+This package estimates cumulative density functions of linear combinations of
+independent noncentral χ² random variables and a standard Normal distribution.
+Formally, it estimates P[Q<q], where:
+
+    Q = λ₁X₁ + ... + λₙXₙ + σX₀.
+
+Xᵢ (𝚒≠𝟶) is an independent random variable following a noncentral χ² distribution with
+nᵢ degrees of freedom and noncentrality parameter λᵢ.
+X₀ is an independent random variable having a standard Normal distribution.
+
+## Install
+
+It can be installed using the pip command
+
+```bash
+pip install chi2comb
+```
+
+## Usage
+
+
+Consider the following linear combination of four random variables:
+
+    Q = 6⋅X₁ + 3⋅X₂ + 1⋅X₃ + 2⋅X₀,
+
+where X₁, X₂, and X₃ are noncentral χ² random variables having degrees of freedom
+n₁=n₂=1 and n₃=2 and noncentrality parameters λ₁=0.5 and λ₂=λ₃=0.
+Let us estimate P[Q<1]:
+
+```python
+>>> from chi2comb import chi2comb_cdf, ChiSquared
+>>>
+>>> gcoef = 2
+>>> ncents = [0.5, 0, 0]
+>>> q = 1
+>>> dofs = [1, 1, 2]
+>>> coefs = [6, 3, 1]
+>>> chi2s = [ChiSquared(coefs[i], ncents[i], dofs[i]) for i in range(3)]
+>>> result, errno, info = chi2comb_cdf(q, chi2s, gcoef)
+>>> result
+0.050870657088644244
+>>> errno
+0
+>>> info
+Info(emag=0.6430413191446991, niterms=43, nints=1, intv=0.03462571527167856, truc=1.4608856930426104, sd=0.0, ncycles=21)
+```
+
+The estimated value is P[Q<1] ≈ 0.0587.
+
+## Problems
+
+If you encounter any issue, please, [submit it](https://github.com/limix/chi2comb-py/issues/new).
+
+## Authors
+
+* [Danilo Horta](https://github.com/horta)
+
+## License
+
+This project is licensed under the [MIT License](https://raw.githubusercontent.com/limix/chi2comb-py/master/LICENSE.md).
+
+
+
+
+%package -n python3-chi2comb
+Summary:	Linear combination of independent noncentral chi-squared random variables
+Provides:	python-chi2comb
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-chi2comb
+# chi2comb
+
+[![Travis](https://img.shields.io/travis/com/limix/chi2comb-py.svg?style=flat-square&label=linux%20%2F%20macos%20build)](https://travis-ci.com/limix/chi2comb-py) [![AppVeyor](https://img.shields.io/appveyor/ci/Horta/chi2comb-py.svg?style=flat-square&label=windows%20build)](https://ci.appveyor.com/project/Horta/chi2comb-py)
+
+This package estimates cumulative density functions of linear combinations of
+independent noncentral χ² random variables and a standard Normal distribution.
+Formally, it estimates P[Q<q], where:
+
+    Q = λ₁X₁ + ... + λₙXₙ + σX₀.
+
+Xᵢ (𝚒≠𝟶) is an independent random variable following a noncentral χ² distribution with
+nᵢ degrees of freedom and noncentrality parameter λᵢ.
+X₀ is an independent random variable having a standard Normal distribution.
+
+## Install
+
+It can be installed using the pip command
+
+```bash
+pip install chi2comb
+```
+
+## Usage
+
+
+Consider the following linear combination of four random variables:
+
+    Q = 6⋅X₁ + 3⋅X₂ + 1⋅X₃ + 2⋅X₀,
+
+where X₁, X₂, and X₃ are noncentral χ² random variables having degrees of freedom
+n₁=n₂=1 and n₃=2 and noncentrality parameters λ₁=0.5 and λ₂=λ₃=0.
+Let us estimate P[Q<1]:
+
+```python
+>>> from chi2comb import chi2comb_cdf, ChiSquared
+>>>
+>>> gcoef = 2
+>>> ncents = [0.5, 0, 0]
+>>> q = 1
+>>> dofs = [1, 1, 2]
+>>> coefs = [6, 3, 1]
+>>> chi2s = [ChiSquared(coefs[i], ncents[i], dofs[i]) for i in range(3)]
+>>> result, errno, info = chi2comb_cdf(q, chi2s, gcoef)
+>>> result
+0.050870657088644244
+>>> errno
+0
+>>> info
+Info(emag=0.6430413191446991, niterms=43, nints=1, intv=0.03462571527167856, truc=1.4608856930426104, sd=0.0, ncycles=21)
+```
+
+The estimated value is P[Q<1] ≈ 0.0587.
+
+## Problems
+
+If you encounter any issue, please, [submit it](https://github.com/limix/chi2comb-py/issues/new).
+
+## Authors
+
+* [Danilo Horta](https://github.com/horta)
+
+## License
+
+This project is licensed under the [MIT License](https://raw.githubusercontent.com/limix/chi2comb-py/master/LICENSE.md).
+
+
+
+
+%package help
+Summary:	Development documents and examples for chi2comb
+Provides:	python3-chi2comb-doc
+%description help
+# chi2comb
+
+[![Travis](https://img.shields.io/travis/com/limix/chi2comb-py.svg?style=flat-square&label=linux%20%2F%20macos%20build)](https://travis-ci.com/limix/chi2comb-py) [![AppVeyor](https://img.shields.io/appveyor/ci/Horta/chi2comb-py.svg?style=flat-square&label=windows%20build)](https://ci.appveyor.com/project/Horta/chi2comb-py)
+
+This package estimates cumulative density functions of linear combinations of
+independent noncentral χ² random variables and a standard Normal distribution.
+Formally, it estimates P[Q<q], where:
+
+    Q = λ₁X₁ + ... + λₙXₙ + σX₀.
+
+Xᵢ (𝚒≠𝟶) is an independent random variable following a noncentral χ² distribution with
+nᵢ degrees of freedom and noncentrality parameter λᵢ.
+X₀ is an independent random variable having a standard Normal distribution.
+
+## Install
+
+It can be installed using the pip command
+
+```bash
+pip install chi2comb
+```
+
+## Usage
+
+
+Consider the following linear combination of four random variables:
+
+    Q = 6⋅X₁ + 3⋅X₂ + 1⋅X₃ + 2⋅X₀,
+
+where X₁, X₂, and X₃ are noncentral χ² random variables having degrees of freedom
+n₁=n₂=1 and n₃=2 and noncentrality parameters λ₁=0.5 and λ₂=λ₃=0.
+Let us estimate P[Q<1]:
+
+```python
+>>> from chi2comb import chi2comb_cdf, ChiSquared
+>>>
+>>> gcoef = 2
+>>> ncents = [0.5, 0, 0]
+>>> q = 1
+>>> dofs = [1, 1, 2]
+>>> coefs = [6, 3, 1]
+>>> chi2s = [ChiSquared(coefs[i], ncents[i], dofs[i]) for i in range(3)]
+>>> result, errno, info = chi2comb_cdf(q, chi2s, gcoef)
+>>> result
+0.050870657088644244
+>>> errno
+0
+>>> info
+Info(emag=0.6430413191446991, niterms=43, nints=1, intv=0.03462571527167856, truc=1.4608856930426104, sd=0.0, ncycles=21)
+```
+
+The estimated value is P[Q<1] ≈ 0.0587.
+
+## Problems
+
+If you encounter any issue, please, [submit it](https://github.com/limix/chi2comb-py/issues/new).
+
+## Authors
+
+* [Danilo Horta](https://github.com/horta)
+
+## License
+
+This project is licensed under the [MIT License](https://raw.githubusercontent.com/limix/chi2comb-py/master/LICENSE.md).
+
+
+
+
+%prep
+%autosetup -n chi2comb-0.1.0
+
+%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-chi2comb -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.0-1
+- Package Spec generated
diff --git a/sources b/sources
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+9ced2719fa061bfaf3929c728a5dcd02  chi2comb-0.1.0.tar.gz