automatic import of python-Pytradopeneuler20.03

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+/Pytrad-0.1.1.5.tar.gz
diff --git a/python-pytrad.spec b/python-pytrad.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-Pytrad
+Version:	0.1.1.5
+Release:	1
+Summary:	Pytrad Python Package
+License:	MIT License
+URL:		https://github.com/cmu-phil/pytrad
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/6e/dd/924f75bed29d14de5368343e3448aa65bfe879f4f0fd46de772a1d002a8a/Pytrad-0.1.1.5.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-scikit-learn
+Requires:	python3-graphviz
+Requires:	python3-statsmodels
+Requires:	python3-pandas
+Requires:	python3-matplotlib
+Requires:	python3-networkx
+Requires:	python3-pydot
+
+%description
+# Pytrad: Causal Discovery for Python
+
+Pytrad is an open-source causal discovery library for Python, which is a Python translation and extension of [Tetrad](https://github.com/cmu-phil/tetrad).
+
+The package is on its very first version and we are actively developing it. Please, as a beta user, if you are willing, would you please kindly share any feedbacks (issues, suggestions, etc.) about it with us?
+
+# Package Overview
+
+Our Pytrad implements methods for causal discovery:
+
+* Constrained-based causal discovery methods.
+* Score-based causal discovery methods.
+* Causal discovery methods based on constrained functional causal models.
+* Hidden causal representation learning.
+* Granger causality.
+* Multiple utilities for building your own method, such as independence tests, score functions, graph operations, and evaluations.
+
+# Install
+
+Pytrad needs the following packages to be installed beforehand:
+
+* python 3
+* numpy
+* networkx
+* pandas
+* scipy
+* scikit-learn
+* statsmodels
+* pydot
+
+(For visualization)
+
+* matplotlib
+* graphviz
+
+To use Pytrad, we could install it using [pip](https://pypi.org/project/sqlparse/):
+
+```
+pip install pytrad
+```
+
+# Documentation
+
+Please kindly refer to [Pytrad Doc](https://pytrad-docs.readthedocs.io/en/latest/) for detailed tutorials and usages.
+
+
+
+
+%package -n python3-Pytrad
+Summary:	Pytrad Python Package
+Provides:	python-Pytrad
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-Pytrad
+# Pytrad: Causal Discovery for Python
+
+Pytrad is an open-source causal discovery library for Python, which is a Python translation and extension of [Tetrad](https://github.com/cmu-phil/tetrad).
+
+The package is on its very first version and we are actively developing it. Please, as a beta user, if you are willing, would you please kindly share any feedbacks (issues, suggestions, etc.) about it with us?
+
+# Package Overview
+
+Our Pytrad implements methods for causal discovery:
+
+* Constrained-based causal discovery methods.
+* Score-based causal discovery methods.
+* Causal discovery methods based on constrained functional causal models.
+* Hidden causal representation learning.
+* Granger causality.
+* Multiple utilities for building your own method, such as independence tests, score functions, graph operations, and evaluations.
+
+# Install
+
+Pytrad needs the following packages to be installed beforehand:
+
+* python 3
+* numpy
+* networkx
+* pandas
+* scipy
+* scikit-learn
+* statsmodels
+* pydot
+
+(For visualization)
+
+* matplotlib
+* graphviz
+
+To use Pytrad, we could install it using [pip](https://pypi.org/project/sqlparse/):
+
+```
+pip install pytrad
+```
+
+# Documentation
+
+Please kindly refer to [Pytrad Doc](https://pytrad-docs.readthedocs.io/en/latest/) for detailed tutorials and usages.
+
+
+
+
+%package help
+Summary:	Development documents and examples for Pytrad
+Provides:	python3-Pytrad-doc
+%description help
+# Pytrad: Causal Discovery for Python
+
+Pytrad is an open-source causal discovery library for Python, which is a Python translation and extension of [Tetrad](https://github.com/cmu-phil/tetrad).
+
+The package is on its very first version and we are actively developing it. Please, as a beta user, if you are willing, would you please kindly share any feedbacks (issues, suggestions, etc.) about it with us?
+
+# Package Overview
+
+Our Pytrad implements methods for causal discovery:
+
+* Constrained-based causal discovery methods.
+* Score-based causal discovery methods.
+* Causal discovery methods based on constrained functional causal models.
+* Hidden causal representation learning.
+* Granger causality.
+* Multiple utilities for building your own method, such as independence tests, score functions, graph operations, and evaluations.
+
+# Install
+
+Pytrad needs the following packages to be installed beforehand:
+
+* python 3
+* numpy
+* networkx
+* pandas
+* scipy
+* scikit-learn
+* statsmodels
+* pydot
+
+(For visualization)
+
+* matplotlib
+* graphviz
+
+To use Pytrad, we could install it using [pip](https://pypi.org/project/sqlparse/):
+
+```
+pip install pytrad
+```
+
+# Documentation
+
+Please kindly refer to [Pytrad Doc](https://pytrad-docs.readthedocs.io/en/latest/) for detailed tutorials and usages.
+
+
+
+
+%prep
+%autosetup -n Pytrad-0.1.1.5
+
+%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-Pytrad -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.1.5-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..bbcbb89
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+076f9d8ed29204791b60fd3dbfcda159  Pytrad-0.1.1.5.tar.gz