automatic import of python-KEGGutilsopeneuler20.03

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diff --git a/.gitignore b/.gitignore
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+/KEGGutils-0.4.0.tar.gz
diff --git a/python-keggutils.spec b/python-keggutils.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-KEGGutils
+Version:	0.4.0
+Release:	1
+Summary:	Simple utils to work with KEGG data on NetworkX
+License:	Unlicense
+URL:		https://github.com/filippocastelli/KEGGutils
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/fa/d9/44c080def3e22242287be0f4a9f97b8ac986eeb6fabf5ea1fbfa70cf50e8/KEGGutils-0.4.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-networkx
+Requires:	python3-matplotlib
+Requires:	python3-awesome-slugify
+Requires:	python3-requests
+Requires:	python3-Pillow
+Requires:	python3-scipy
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-jupyter
+
+%description
+# KEGGutils:
+Working with **KEGG** in **Python** and **NetworkX**
+# <img src="/img/logo_cut.png" alt="Drawing" width = "630"></img>
+
+
+
+**KEGGutils** is a toolkit designed for working with the *Kyoto Encyclopedia of Genes and Genome* database in *Python* with a quick and easy to use interface: in a single line you can download data from KEGG's REST API, organize in a graph-like format provided by *NetworkX* and immediately start exploring.
+
+*KEGGutils* is much more than just an API interface: other than a series of tools to better interface yourself with the service, it provides expanded *NetworkX* classes and methods ( totally nx-compatible ) to handle different types of data and help you better exploit underlying structures. 
+KEGGutils is easily expandable and can be immediately integrated anywhere you use *NetworkX* to process data.
+
+## Current build status:
+
+*master branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils)
+
+*devel branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils/tree/devel.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils/tree/dev)
+
+## Installing KEGGutils
+# <a href="https://pypi.org/"><img alt = PyPi src="https://pypi.org/static/images/logo-large.72ad8bf1.svg" height="100"></img></a>
+
+You can just clone this repo and use it's content as any other python package, but if you just need a super easy drop-in solution *KEGGutils* is available as a *PyPi* package:
+
+to install it you just need to run
+
+`pip install KEGGutils`
+ 
+ and that should be it!
+ 
+## Dependencies
+KEGGutils is tested and working against python `3.8`, `3.9`, `3.10` and `3.11`.
+
+`3.6` and `3.7` are untested but should work.
+
+To make sure KEGGutils works as it should, a few dependencies must be satisfied:
+- `networkx`
+- `matplotlib`
+- `awesome-slugify`
+- `requests`
+- `Pillow`
+- `scipy`
+
+note: if you use pip to install KEGGutils, it should automatically get the needed dependencies for you!
+
+note: you can create an environment with all the required dependencies using the incldued anaconda environment configurator, you just need to run
+
+`conda env create -f keggutils_env.yml` 
+
+to create a `keggutils_env` anaconda environment with all the required dependencies.
+
+## Getting started
+
+In this repo can find four dense yet easy to follow tutorials covering most of *KEGGutils*'s functionalities and more are coming in the next future.
+To start just follow the links below: 
+- [**Tutorial 0 - Basics and KEGG API**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%200%20-%20Basics%20and%20KEGG%20API.ipynb)
+- [**Tutorial 1 - Enzymatic Graphs**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%201%20-%20EnzymeGraphs.ipynb)
+- [**Tutorial 2 - KEGGgraphs, KGGlinkgraphs and KEGGchains**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%202%20-%20KEGGgraphs%2C%20KGGlinkgraphs%20and%20KEGGchains.ipynb)
+- [**Tutorial 3 - KEGGpathways**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%203%20-%20KEGGpathways.ipynb)
+
+
+## Contributing
+
+The project is open to contributions and suggestions, just open an issue on the repo or contact me directly (contacts below).
+
+## External links
+
+Here are a few useful links
+- [KEGG: Kyoto Encyclopedia of Genes and Genomes](https://www.kegg.jp/)
+- [KEGG REST API reference page](https://www.kegg.jp/kegg/rest/keggapi.html)
+- [KEGG KGML (KEGG Markup Language) reference page](https://www.kegg.jp/kegg/xml/)
+- [Networkx Github IO](https://networkx.github.io/)
+
+
+
+## Contacts
+
+**Author:**
+
+Filippo Maria Castelli  
+castelli@lens.unifi.it  
+LENS, European Laboratory for Non-linear Spectroscopy  
+Via Nello Carrara 1  
+50019 Sesto Fiorentino (FI), Italy
+
+
+
+
+%package -n python3-KEGGutils
+Summary:	Simple utils to work with KEGG data on NetworkX
+Provides:	python-KEGGutils
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-KEGGutils
+# KEGGutils:
+Working with **KEGG** in **Python** and **NetworkX**
+# <img src="/img/logo_cut.png" alt="Drawing" width = "630"></img>
+
+
+
+**KEGGutils** is a toolkit designed for working with the *Kyoto Encyclopedia of Genes and Genome* database in *Python* with a quick and easy to use interface: in a single line you can download data from KEGG's REST API, organize in a graph-like format provided by *NetworkX* and immediately start exploring.
+
+*KEGGutils* is much more than just an API interface: other than a series of tools to better interface yourself with the service, it provides expanded *NetworkX* classes and methods ( totally nx-compatible ) to handle different types of data and help you better exploit underlying structures. 
+KEGGutils is easily expandable and can be immediately integrated anywhere you use *NetworkX* to process data.
+
+## Current build status:
+
+*master branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils)
+
+*devel branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils/tree/devel.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils/tree/dev)
+
+## Installing KEGGutils
+# <a href="https://pypi.org/"><img alt = PyPi src="https://pypi.org/static/images/logo-large.72ad8bf1.svg" height="100"></img></a>
+
+You can just clone this repo and use it's content as any other python package, but if you just need a super easy drop-in solution *KEGGutils* is available as a *PyPi* package:
+
+to install it you just need to run
+
+`pip install KEGGutils`
+ 
+ and that should be it!
+ 
+## Dependencies
+KEGGutils is tested and working against python `3.8`, `3.9`, `3.10` and `3.11`.
+
+`3.6` and `3.7` are untested but should work.
+
+To make sure KEGGutils works as it should, a few dependencies must be satisfied:
+- `networkx`
+- `matplotlib`
+- `awesome-slugify`
+- `requests`
+- `Pillow`
+- `scipy`
+
+note: if you use pip to install KEGGutils, it should automatically get the needed dependencies for you!
+
+note: you can create an environment with all the required dependencies using the incldued anaconda environment configurator, you just need to run
+
+`conda env create -f keggutils_env.yml` 
+
+to create a `keggutils_env` anaconda environment with all the required dependencies.
+
+## Getting started
+
+In this repo can find four dense yet easy to follow tutorials covering most of *KEGGutils*'s functionalities and more are coming in the next future.
+To start just follow the links below: 
+- [**Tutorial 0 - Basics and KEGG API**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%200%20-%20Basics%20and%20KEGG%20API.ipynb)
+- [**Tutorial 1 - Enzymatic Graphs**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%201%20-%20EnzymeGraphs.ipynb)
+- [**Tutorial 2 - KEGGgraphs, KGGlinkgraphs and KEGGchains**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%202%20-%20KEGGgraphs%2C%20KGGlinkgraphs%20and%20KEGGchains.ipynb)
+- [**Tutorial 3 - KEGGpathways**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%203%20-%20KEGGpathways.ipynb)
+
+
+## Contributing
+
+The project is open to contributions and suggestions, just open an issue on the repo or contact me directly (contacts below).
+
+## External links
+
+Here are a few useful links
+- [KEGG: Kyoto Encyclopedia of Genes and Genomes](https://www.kegg.jp/)
+- [KEGG REST API reference page](https://www.kegg.jp/kegg/rest/keggapi.html)
+- [KEGG KGML (KEGG Markup Language) reference page](https://www.kegg.jp/kegg/xml/)
+- [Networkx Github IO](https://networkx.github.io/)
+
+
+
+## Contacts
+
+**Author:**
+
+Filippo Maria Castelli  
+castelli@lens.unifi.it  
+LENS, European Laboratory for Non-linear Spectroscopy  
+Via Nello Carrara 1  
+50019 Sesto Fiorentino (FI), Italy
+
+
+
+
+%package help
+Summary:	Development documents and examples for KEGGutils
+Provides:	python3-KEGGutils-doc
+%description help
+# KEGGutils:
+Working with **KEGG** in **Python** and **NetworkX**
+# <img src="/img/logo_cut.png" alt="Drawing" width = "630"></img>
+
+
+
+**KEGGutils** is a toolkit designed for working with the *Kyoto Encyclopedia of Genes and Genome* database in *Python* with a quick and easy to use interface: in a single line you can download data from KEGG's REST API, organize in a graph-like format provided by *NetworkX* and immediately start exploring.
+
+*KEGGutils* is much more than just an API interface: other than a series of tools to better interface yourself with the service, it provides expanded *NetworkX* classes and methods ( totally nx-compatible ) to handle different types of data and help you better exploit underlying structures. 
+KEGGutils is easily expandable and can be immediately integrated anywhere you use *NetworkX* to process data.
+
+## Current build status:
+
+*master branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils)
+
+*devel branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils/tree/devel.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils/tree/dev)
+
+## Installing KEGGutils
+# <a href="https://pypi.org/"><img alt = PyPi src="https://pypi.org/static/images/logo-large.72ad8bf1.svg" height="100"></img></a>
+
+You can just clone this repo and use it's content as any other python package, but if you just need a super easy drop-in solution *KEGGutils* is available as a *PyPi* package:
+
+to install it you just need to run
+
+`pip install KEGGutils`
+ 
+ and that should be it!
+ 
+## Dependencies
+KEGGutils is tested and working against python `3.8`, `3.9`, `3.10` and `3.11`.
+
+`3.6` and `3.7` are untested but should work.
+
+To make sure KEGGutils works as it should, a few dependencies must be satisfied:
+- `networkx`
+- `matplotlib`
+- `awesome-slugify`
+- `requests`
+- `Pillow`
+- `scipy`
+
+note: if you use pip to install KEGGutils, it should automatically get the needed dependencies for you!
+
+note: you can create an environment with all the required dependencies using the incldued anaconda environment configurator, you just need to run
+
+`conda env create -f keggutils_env.yml` 
+
+to create a `keggutils_env` anaconda environment with all the required dependencies.
+
+## Getting started
+
+In this repo can find four dense yet easy to follow tutorials covering most of *KEGGutils*'s functionalities and more are coming in the next future.
+To start just follow the links below: 
+- [**Tutorial 0 - Basics and KEGG API**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%200%20-%20Basics%20and%20KEGG%20API.ipynb)
+- [**Tutorial 1 - Enzymatic Graphs**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%201%20-%20EnzymeGraphs.ipynb)
+- [**Tutorial 2 - KEGGgraphs, KGGlinkgraphs and KEGGchains**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%202%20-%20KEGGgraphs%2C%20KGGlinkgraphs%20and%20KEGGchains.ipynb)
+- [**Tutorial 3 - KEGGpathways**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%203%20-%20KEGGpathways.ipynb)
+
+
+## Contributing
+
+The project is open to contributions and suggestions, just open an issue on the repo or contact me directly (contacts below).
+
+## External links
+
+Here are a few useful links
+- [KEGG: Kyoto Encyclopedia of Genes and Genomes](https://www.kegg.jp/)
+- [KEGG REST API reference page](https://www.kegg.jp/kegg/rest/keggapi.html)
+- [KEGG KGML (KEGG Markup Language) reference page](https://www.kegg.jp/kegg/xml/)
+- [Networkx Github IO](https://networkx.github.io/)
+
+
+
+## Contacts
+
+**Author:**
+
+Filippo Maria Castelli  
+castelli@lens.unifi.it  
+LENS, European Laboratory for Non-linear Spectroscopy  
+Via Nello Carrara 1  
+50019 Sesto Fiorentino (FI), Italy
+
+
+
+
+%prep
+%autosetup -n KEGGutils-0.4.0
+
+%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-KEGGutils -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..ed03a7e
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+84ff07b186adf22087459c5f025886ec  KEGGutils-0.4.0.tar.gz