automatic import of python-spylon-kernelopeneuler20.03

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+/spylon-kernel-0.4.1.tar.gz
diff --git a/python-spylon-kernel.spec b/python-spylon-kernel.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-spylon-kernel
+Version:	0.4.1
+Release:	1
+Summary:	Jupyter metakernel for apache spark and scala
+License:	BSD 3-clause
+URL:		http://github.com/maxpoint/spylon-kernel
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/3b/26/0c1c289ab535489b0e290461b0f2c45a00d2033a50a58a45f6d00c5fb205/spylon-kernel-0.4.1.tar.gz
+BuildArch:	noarch
+
+
+%description
+# spylon-kernel
+[![Build Status](https://travis-ci.org/maxpoint/spylon-kernel.svg?branch=master)](https://travis-ci.org/maxpoint/spylon-kernel)
+[![codecov](https://codecov.io/gh/maxpoint/spylon-kernel/branch/master/graph/badge.svg)](https://codecov.io/gh/maxpoint/spylon-kernel)
+
+A Scala [Jupyter kernel](http://jupyter.readthedocs.io/en/latest/projects/kernels.html) that uses [metakernel](https://github.com/Calysto/metakernel) in combination with [py4j](https://www.py4j.org/).
+
+## Prerequisites
+
+* Apache Spark 2.1.1 compiled for Scala 2.11
+* Jupyter Notebook
+* Python 3.5+
+
+## Install
+
+You can install the spylon-kernel package using `pip` or `conda`.
+
+```bash
+pip install spylon-kernel
+# or
+conda install -c conda-forge spylon-kernel
+```
+
+## Using it as a Scala Kernel
+
+You can use spylon-kernel as Scala kernel for Jupyter Notebook. Do this when you want
+to work with Spark in Scala with a bit of Python code mixed in.
+
+Create a kernel spec for Jupyter notebook by running the following command:
+
+```bash
+python -m spylon_kernel install
+```
+
+Launch `jupyter notebook` and you should see a `spylon-kernel` as an option
+in the *New* dropdown menu.
+
+See [the basic example notebook](./examples/basic_example.ipynb) for information
+about how to intiialize a Spark session and use it both in Scala and Python.
+
+## Using it as an IPython Magic
+
+You can also use spylon-kernel as a magic in an IPython notebook. Do this when
+you want to mix a little bit of Scala into your primarily Python notebook.
+
+```python
+from spylon_kernel import register_ipython_magics
+register_ipython_magics()
+```
+
+```scala
+%%scala
+val x = 8
+x
+```
+
+## Using it as a Library
+
+Finally, you can use spylon-kernel as a Python library. Do this when you
+want to evaluate a string of Scala code in a Python script or shell.
+
+```python
+from spylon_kernel import get_scala_interpreter
+
+interp = get_scala_interpreter()
+
+# Evaluate the result of a scala code block.
+interp.interpret("""
+    val x = 8
+    x
+""")
+
+interp.last_result()
+```
+
+# Release Process
+
+Push a tag and submit a source dist to PyPI.
+
+```
+git commit -m 'REL: 0.2.1' --allow-empty
+git tag -a 0.2.1 # and enter the same message as the commit
+git push origin master # or send a PR
+
+# if everything builds / tests cleanly, release to pypi
+make release
+```
+
+Then update https://github.com/conda-forge/spylon-kernel-feedstock.
+
+
+%package -n python3-spylon-kernel
+Summary:	Jupyter metakernel for apache spark and scala
+Provides:	python-spylon-kernel
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-spylon-kernel
+# spylon-kernel
+[![Build Status](https://travis-ci.org/maxpoint/spylon-kernel.svg?branch=master)](https://travis-ci.org/maxpoint/spylon-kernel)
+[![codecov](https://codecov.io/gh/maxpoint/spylon-kernel/branch/master/graph/badge.svg)](https://codecov.io/gh/maxpoint/spylon-kernel)
+
+A Scala [Jupyter kernel](http://jupyter.readthedocs.io/en/latest/projects/kernels.html) that uses [metakernel](https://github.com/Calysto/metakernel) in combination with [py4j](https://www.py4j.org/).
+
+## Prerequisites
+
+* Apache Spark 2.1.1 compiled for Scala 2.11
+* Jupyter Notebook
+* Python 3.5+
+
+## Install
+
+You can install the spylon-kernel package using `pip` or `conda`.
+
+```bash
+pip install spylon-kernel
+# or
+conda install -c conda-forge spylon-kernel
+```
+
+## Using it as a Scala Kernel
+
+You can use spylon-kernel as Scala kernel for Jupyter Notebook. Do this when you want
+to work with Spark in Scala with a bit of Python code mixed in.
+
+Create a kernel spec for Jupyter notebook by running the following command:
+
+```bash
+python -m spylon_kernel install
+```
+
+Launch `jupyter notebook` and you should see a `spylon-kernel` as an option
+in the *New* dropdown menu.
+
+See [the basic example notebook](./examples/basic_example.ipynb) for information
+about how to intiialize a Spark session and use it both in Scala and Python.
+
+## Using it as an IPython Magic
+
+You can also use spylon-kernel as a magic in an IPython notebook. Do this when
+you want to mix a little bit of Scala into your primarily Python notebook.
+
+```python
+from spylon_kernel import register_ipython_magics
+register_ipython_magics()
+```
+
+```scala
+%%scala
+val x = 8
+x
+```
+
+## Using it as a Library
+
+Finally, you can use spylon-kernel as a Python library. Do this when you
+want to evaluate a string of Scala code in a Python script or shell.
+
+```python
+from spylon_kernel import get_scala_interpreter
+
+interp = get_scala_interpreter()
+
+# Evaluate the result of a scala code block.
+interp.interpret("""
+    val x = 8
+    x
+""")
+
+interp.last_result()
+```
+
+# Release Process
+
+Push a tag and submit a source dist to PyPI.
+
+```
+git commit -m 'REL: 0.2.1' --allow-empty
+git tag -a 0.2.1 # and enter the same message as the commit
+git push origin master # or send a PR
+
+# if everything builds / tests cleanly, release to pypi
+make release
+```
+
+Then update https://github.com/conda-forge/spylon-kernel-feedstock.
+
+
+%package help
+Summary:	Development documents and examples for spylon-kernel
+Provides:	python3-spylon-kernel-doc
+%description help
+# spylon-kernel
+[![Build Status](https://travis-ci.org/maxpoint/spylon-kernel.svg?branch=master)](https://travis-ci.org/maxpoint/spylon-kernel)
+[![codecov](https://codecov.io/gh/maxpoint/spylon-kernel/branch/master/graph/badge.svg)](https://codecov.io/gh/maxpoint/spylon-kernel)
+
+A Scala [Jupyter kernel](http://jupyter.readthedocs.io/en/latest/projects/kernels.html) that uses [metakernel](https://github.com/Calysto/metakernel) in combination with [py4j](https://www.py4j.org/).
+
+## Prerequisites
+
+* Apache Spark 2.1.1 compiled for Scala 2.11
+* Jupyter Notebook
+* Python 3.5+
+
+## Install
+
+You can install the spylon-kernel package using `pip` or `conda`.
+
+```bash
+pip install spylon-kernel
+# or
+conda install -c conda-forge spylon-kernel
+```
+
+## Using it as a Scala Kernel
+
+You can use spylon-kernel as Scala kernel for Jupyter Notebook. Do this when you want
+to work with Spark in Scala with a bit of Python code mixed in.
+
+Create a kernel spec for Jupyter notebook by running the following command:
+
+```bash
+python -m spylon_kernel install
+```
+
+Launch `jupyter notebook` and you should see a `spylon-kernel` as an option
+in the *New* dropdown menu.
+
+See [the basic example notebook](./examples/basic_example.ipynb) for information
+about how to intiialize a Spark session and use it both in Scala and Python.
+
+## Using it as an IPython Magic
+
+You can also use spylon-kernel as a magic in an IPython notebook. Do this when
+you want to mix a little bit of Scala into your primarily Python notebook.
+
+```python
+from spylon_kernel import register_ipython_magics
+register_ipython_magics()
+```
+
+```scala
+%%scala
+val x = 8
+x
+```
+
+## Using it as a Library
+
+Finally, you can use spylon-kernel as a Python library. Do this when you
+want to evaluate a string of Scala code in a Python script or shell.
+
+```python
+from spylon_kernel import get_scala_interpreter
+
+interp = get_scala_interpreter()
+
+# Evaluate the result of a scala code block.
+interp.interpret("""
+    val x = 8
+    x
+""")
+
+interp.last_result()
+```
+
+# Release Process
+
+Push a tag and submit a source dist to PyPI.
+
+```
+git commit -m 'REL: 0.2.1' --allow-empty
+git tag -a 0.2.1 # and enter the same message as the commit
+git push origin master # or send a PR
+
+# if everything builds / tests cleanly, release to pypi
+make release
+```
+
+Then update https://github.com/conda-forge/spylon-kernel-feedstock.
+
+
+%prep
+%autosetup -n spylon-kernel-0.4.1
+
+%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-spylon-kernel -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
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@@ -0,0 +1 @@
+59727d9a737a39199bca545736b88283  spylon-kernel-0.4.1.tar.gz