automatic import of python-phate

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diff --git a/.gitignore b/.gitignore
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+/phate-1.0.10.tar.gz
diff --git a/python-phate.spec b/python-phate.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-phate
+Version:	1.0.10
+Release:	1
+Summary:	PHATE
+License:	GNU General Public License Version 2
+URL:		https://github.com/KrishnaswamyLab/PHATE
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b0/89/e58315c651c9ea02bc51afa04fc7ee74ed015bbf0aecc250ca956f673960/phate-1.0.10.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-scikit-learn
+Requires:	python3-future
+Requires:	python3-tasklogger
+Requires:	python3-graphtools
+Requires:	python3-scprep
+Requires:	python3-Deprecated
+Requires:	python3-s-gd2
+Requires:	python3-matplotlib
+Requires:	python3-sphinx
+Requires:	python3-sphinxcontrib-napoleon
+Requires:	python3-nose2
+Requires:	python3-anndata
+Requires:	python3-coverage
+Requires:	python3-coveralls
+Requires:	python3-nose
+
+%description
+[![Latest PyPI version](https://img.shields.io/pypi/v/phate.svg)](https://pypi.org/project/phate/)
+[![Latest Conda version](https://anaconda.org/bioconda/phate/badges/version.svg)](https://anaconda.org/bioconda/phate/)
+[![Latest CRAN version](https://img.shields.io/cran/v/phateR.svg)](https://cran.r-project.org/package=phateR)
+[![Travis CI Build](https://api.travis-ci.com/KrishnaswamyLab/phate.svg?branch=master)](https://travis-ci.com/KrishnaswamyLab/PHATE)
+[![Read the Docs](https://img.shields.io/readthedocs/phate.svg)](https://phate.readthedocs.io/)
+[![Nature Biotechnology Publication](https://zenodo.org/badge/DOI/10.1038/s41587-019-0336-3.svg)](https://www.nature.com/articles/s41587-019-0336-3)
+[![Twitter](https://img.shields.io/twitter/follow/KrishnaswamyLab.svg?style=social&label=Follow)](https://twitter.com/KrishnaswamyLab)
+### Quick Start
+If you would like to get started using PHATE, check out our [**guided tutorial in Python**](http://nbviewer.jupyter.org/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/EmbryoidBody.ipynb).
+If you have loaded a data matrix `data` in Python (cells on rows, genes on columns) you can run PHATE as follows:
+    import phate
+    phate_op = phate.PHATE()
+    data_phate = phate_op.fit_transform(data)
+PHATE accepts the following data types: `numpy.array`, `scipy.spmatrix`, `pandas.DataFrame` and `anndata.AnnData`.
+### Introduction
+PHATE (Potential of Heat-diffusion for Affinity-based Trajectory Embedding) is a tool for visualizing high dimensional data. PHATE uses a novel conceptual framework for learning and visualizing the manifold to preserve both local and global distances.
+To see how PHATE can be applied to datasets such as facial images and single-cell data from human embryonic stem cells, check out our publication in Nature Biotechnology.
+[Moon, van Dijk, Wang, Gigante et al. **Visualizing Transitions and Structure for Biological Data Exploration**. 2019. *Nature Biotechnology*.](https://doi.org/10.1038/s41587-019-0336-3)
+PHATE has been implemented in [Python >=3.5](#python), [MATLAB](https://github.com/KrishnaswamyLab/PHATE/#matlab) and [R](https://github.com/KrishnaswamyLab/phateR/).
+### Table of Contents
+* [System Requirements](#system-requirements)
+* [Installation with pip](#installation-with-pip)
+* [Installation from source](#installation-from-source)
+* [Quick Start](#quick-start)
+* [Tutorial and Reference](#tutorial-and-reference)
+* [Help](#help)
+### System Requirements
+* Windows (>= 7), Mac OS X (>= 10.8) or Linux
+* [Python >= 3.5](https://www.python.org/downloads/)
+All other software dependencies are installed automatically when installing PHATE.
+### Installation with `pip`
+The Python version of PHATE can be installed by running the following from a terminal:
+    pip install --user phate
+Installation of PHATE and all dependencies should take no more than five minutes.
+### Installation from source
+The Python version of PHATE can be installed from GitHub by running the following from a terminal:
+    git clone --recursive git://github.com/KrishnaswamyLab/PHATE.git
+    cd PHATE/Python
+    python setup.py install --user
+### Tutorial and Reference
+For more information, read the [documentation on ReadTheDocs](http://phate.readthedocs.io/) or view our tutorials on GitHub: [single-cell RNA-seq](http://nbviewer.jupyter.org/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/EmbryoidBody.ipynb), [artificial tree](http://nbviewer.jupyter.org/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/PHATE_tree.ipynb). You can also access interactive versions of these tutorials on Google Colaboratory: [single-cell RNA-seq](https://colab.research.google.com/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/EmbryoidBody.ipynb), [artificial tree](https://colab.research.google.com/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/PHATE_tree.ipynb).
+### Help
+If you have any questions or require assistance using PHATE, please contact us at <https://krishnaswamylab.org/get-help>.
+
+%package -n python3-phate
+Summary:	PHATE
+Provides:	python-phate
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-phate
+[![Latest PyPI version](https://img.shields.io/pypi/v/phate.svg)](https://pypi.org/project/phate/)
+[![Latest Conda version](https://anaconda.org/bioconda/phate/badges/version.svg)](https://anaconda.org/bioconda/phate/)
+[![Latest CRAN version](https://img.shields.io/cran/v/phateR.svg)](https://cran.r-project.org/package=phateR)
+[![Travis CI Build](https://api.travis-ci.com/KrishnaswamyLab/phate.svg?branch=master)](https://travis-ci.com/KrishnaswamyLab/PHATE)
+[![Read the Docs](https://img.shields.io/readthedocs/phate.svg)](https://phate.readthedocs.io/)
+[![Nature Biotechnology Publication](https://zenodo.org/badge/DOI/10.1038/s41587-019-0336-3.svg)](https://www.nature.com/articles/s41587-019-0336-3)
+[![Twitter](https://img.shields.io/twitter/follow/KrishnaswamyLab.svg?style=social&label=Follow)](https://twitter.com/KrishnaswamyLab)
+### Quick Start
+If you would like to get started using PHATE, check out our [**guided tutorial in Python**](http://nbviewer.jupyter.org/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/EmbryoidBody.ipynb).
+If you have loaded a data matrix `data` in Python (cells on rows, genes on columns) you can run PHATE as follows:
+    import phate
+    phate_op = phate.PHATE()
+    data_phate = phate_op.fit_transform(data)
+PHATE accepts the following data types: `numpy.array`, `scipy.spmatrix`, `pandas.DataFrame` and `anndata.AnnData`.
+### Introduction
+PHATE (Potential of Heat-diffusion for Affinity-based Trajectory Embedding) is a tool for visualizing high dimensional data. PHATE uses a novel conceptual framework for learning and visualizing the manifold to preserve both local and global distances.
+To see how PHATE can be applied to datasets such as facial images and single-cell data from human embryonic stem cells, check out our publication in Nature Biotechnology.
+[Moon, van Dijk, Wang, Gigante et al. **Visualizing Transitions and Structure for Biological Data Exploration**. 2019. *Nature Biotechnology*.](https://doi.org/10.1038/s41587-019-0336-3)
+PHATE has been implemented in [Python >=3.5](#python), [MATLAB](https://github.com/KrishnaswamyLab/PHATE/#matlab) and [R](https://github.com/KrishnaswamyLab/phateR/).
+### Table of Contents
+* [System Requirements](#system-requirements)
+* [Installation with pip](#installation-with-pip)
+* [Installation from source](#installation-from-source)
+* [Quick Start](#quick-start)
+* [Tutorial and Reference](#tutorial-and-reference)
+* [Help](#help)
+### System Requirements
+* Windows (>= 7), Mac OS X (>= 10.8) or Linux
+* [Python >= 3.5](https://www.python.org/downloads/)
+All other software dependencies are installed automatically when installing PHATE.
+### Installation with `pip`
+The Python version of PHATE can be installed by running the following from a terminal:
+    pip install --user phate
+Installation of PHATE and all dependencies should take no more than five minutes.
+### Installation from source
+The Python version of PHATE can be installed from GitHub by running the following from a terminal:
+    git clone --recursive git://github.com/KrishnaswamyLab/PHATE.git
+    cd PHATE/Python
+    python setup.py install --user
+### Tutorial and Reference
+For more information, read the [documentation on ReadTheDocs](http://phate.readthedocs.io/) or view our tutorials on GitHub: [single-cell RNA-seq](http://nbviewer.jupyter.org/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/EmbryoidBody.ipynb), [artificial tree](http://nbviewer.jupyter.org/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/PHATE_tree.ipynb). You can also access interactive versions of these tutorials on Google Colaboratory: [single-cell RNA-seq](https://colab.research.google.com/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/EmbryoidBody.ipynb), [artificial tree](https://colab.research.google.com/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/PHATE_tree.ipynb).
+### Help
+If you have any questions or require assistance using PHATE, please contact us at <https://krishnaswamylab.org/get-help>.
+
+%package help
+Summary:	Development documents and examples for phate
+Provides:	python3-phate-doc
+%description help
+[![Latest PyPI version](https://img.shields.io/pypi/v/phate.svg)](https://pypi.org/project/phate/)
+[![Latest Conda version](https://anaconda.org/bioconda/phate/badges/version.svg)](https://anaconda.org/bioconda/phate/)
+[![Latest CRAN version](https://img.shields.io/cran/v/phateR.svg)](https://cran.r-project.org/package=phateR)
+[![Travis CI Build](https://api.travis-ci.com/KrishnaswamyLab/phate.svg?branch=master)](https://travis-ci.com/KrishnaswamyLab/PHATE)
+[![Read the Docs](https://img.shields.io/readthedocs/phate.svg)](https://phate.readthedocs.io/)
+[![Nature Biotechnology Publication](https://zenodo.org/badge/DOI/10.1038/s41587-019-0336-3.svg)](https://www.nature.com/articles/s41587-019-0336-3)
+[![Twitter](https://img.shields.io/twitter/follow/KrishnaswamyLab.svg?style=social&label=Follow)](https://twitter.com/KrishnaswamyLab)
+### Quick Start
+If you would like to get started using PHATE, check out our [**guided tutorial in Python**](http://nbviewer.jupyter.org/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/EmbryoidBody.ipynb).
+If you have loaded a data matrix `data` in Python (cells on rows, genes on columns) you can run PHATE as follows:
+    import phate
+    phate_op = phate.PHATE()
+    data_phate = phate_op.fit_transform(data)
+PHATE accepts the following data types: `numpy.array`, `scipy.spmatrix`, `pandas.DataFrame` and `anndata.AnnData`.
+### Introduction
+PHATE (Potential of Heat-diffusion for Affinity-based Trajectory Embedding) is a tool for visualizing high dimensional data. PHATE uses a novel conceptual framework for learning and visualizing the manifold to preserve both local and global distances.
+To see how PHATE can be applied to datasets such as facial images and single-cell data from human embryonic stem cells, check out our publication in Nature Biotechnology.
+[Moon, van Dijk, Wang, Gigante et al. **Visualizing Transitions and Structure for Biological Data Exploration**. 2019. *Nature Biotechnology*.](https://doi.org/10.1038/s41587-019-0336-3)
+PHATE has been implemented in [Python >=3.5](#python), [MATLAB](https://github.com/KrishnaswamyLab/PHATE/#matlab) and [R](https://github.com/KrishnaswamyLab/phateR/).
+### Table of Contents
+* [System Requirements](#system-requirements)
+* [Installation with pip](#installation-with-pip)
+* [Installation from source](#installation-from-source)
+* [Quick Start](#quick-start)
+* [Tutorial and Reference](#tutorial-and-reference)
+* [Help](#help)
+### System Requirements
+* Windows (>= 7), Mac OS X (>= 10.8) or Linux
+* [Python >= 3.5](https://www.python.org/downloads/)
+All other software dependencies are installed automatically when installing PHATE.
+### Installation with `pip`
+The Python version of PHATE can be installed by running the following from a terminal:
+    pip install --user phate
+Installation of PHATE and all dependencies should take no more than five minutes.
+### Installation from source
+The Python version of PHATE can be installed from GitHub by running the following from a terminal:
+    git clone --recursive git://github.com/KrishnaswamyLab/PHATE.git
+    cd PHATE/Python
+    python setup.py install --user
+### Tutorial and Reference
+For more information, read the [documentation on ReadTheDocs](http://phate.readthedocs.io/) or view our tutorials on GitHub: [single-cell RNA-seq](http://nbviewer.jupyter.org/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/EmbryoidBody.ipynb), [artificial tree](http://nbviewer.jupyter.org/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/PHATE_tree.ipynb). You can also access interactive versions of these tutorials on Google Colaboratory: [single-cell RNA-seq](https://colab.research.google.com/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/EmbryoidBody.ipynb), [artificial tree](https://colab.research.google.com/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/PHATE_tree.ipynb).
+### Help
+If you have any questions or require assistance using PHATE, please contact us at <https://krishnaswamylab.org/get-help>.
+
+%prep
+%autosetup -n phate-1.0.10
+
+%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-phate -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.10-1
+- Package Spec generated
diff --git a/sources b/sources
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+++ b/sources
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+75c31d33f7186880d41338b484234922  phate-1.0.10.tar.gz