automatic import of python-ridgeplot

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diff --git a/.gitignore b/.gitignore
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--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/ridgeplot-0.1.21.tar.gz
diff --git a/python-ridgeplot.spec b/python-ridgeplot.spec
new file mode 100644
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--- /dev/null
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+%global _empty_manifest_terminate_build 0
+Name:		python-ridgeplot
+Version:	0.1.21
+Release:	1
+Summary:	Beautiful ridgeline plots in python
+License:	MIT
+URL:		https://github.com/tpvasconcelos/ridgeplot
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/53/26/69baca59a24b98054a742575b24c064bca717a30134401bceecae4c14564/ridgeplot-0.1.21.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-plotly
+Requires:	python3-statsmodels
+
+%description
+<p align="center">
+    <img src="docs/_static/img/logo-wide.png" alt="ridgeplot - beautiful ridgeline plots in Python">
+</p>
+
+<h1 id="ridgeplot" align="center">
+    ridgeplot: beautiful ridgeline plots in Python
+</h1>
+
+<p align="center">
+  <!-- TODO: https://bestpractices.coreinfrastructure.org/en -->
+  <!-- TODO: https://www.gitpod.io/docs/getting-started -->
+  <a href="https://pypi.org/project/ridgeplot/"><img src="https://img.shields.io/pypi/v/ridgeplot" alt="PyPI - Latest Release"></a>
+  <a href="https://github.com/tpvasconcelos/ridgeplot/"><img src="https://img.shields.io/pypi/pyversions/ridgeplot" alt="PyPI - Python Versions"></a>
+  <a href="https://pypi.org/project/ridgeplot/"><img src="https://img.shields.io/pypi/status/ridgeplot.svg" alt="PyPI - Package Status"></a>
+  <a href="https://github.com/tpvasconcelos/ridgeplot/blob/main/LICENSE"><img src="https://img.shields.io/pypi/l/ridgeplot" alt="PyPI - License"></a>
+  <br>
+  <a href="https://github.com/tpvasconcelos/ridgeplot/actions/workflows/ci.yaml/"><img src="https://github.com/tpvasconcelos/ridgeplot/actions/workflows/ci.yaml/badge.svg" alt="GitHub CI"></a>
+  <a href="https://ridgeplot.readthedocs.io/en/latest/"><img src="https://readthedocs.org/projects/ridgeplot/badge/?version=latest&style=flat" alt="Docs"></a>
+  <a href="https://codecov.io/gh/tpvasconcelos/ridgeplot"><img src="https://codecov.io/gh/tpvasconcelos/ridgeplot/branch/main/graph/badge.svg" alt="codecov"></a>
+  <a href="https://www.codefactor.io/repository/github/tpvasconcelos/ridgeplot"><img src="https://www.codefactor.io/repository/github/tpvasconcelos/ridgeplot/badge" alt="CodeFactor"></a>
+  <a href="https://www.codacy.com/gh/tpvasconcelos/ridgeplot/dashboard?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=tpvasconcelos/ridgeplot&amp;utm_campaign=Badge_Grade"><img src="https://app.codacy.com/project/badge/Grade/e21652ac49874b6f94ed3c9b7ac77021" alt="Codacy code quality"/></a>
+</p>
+
+<!-- <p align="center"><i>Beautiful ridgeline plots in python</i></p> -->
+
+______________________________________________________________________
+
+The `ridgeplot` python library aims at providing a simple API for plotting beautiful
+[ridgeline plots](https://www.data-to-viz.com/graph/ridgeline.html) within the extensive
+[Plotly](https://plotly.com/python/) interactive graphing environment.
+
+Bumper stickers:
+
+- Do one thing, and do it well!
+- Use sensible defaults, but allow for extensive configuration!
+
+## How to get it?
+
+The source code is currently hosted on GitHub at: <https://github.com/tpvasconcelos/ridgeplot>
+
+Install and update using [pip](https://pip.pypa.io/en/stable/quickstart/):
+
+```shell
+pip install -U ridgeplot
+```
+
+### Dependencies
+
+- [plotly](https://plotly.com/) - the interactive graphing backend that powers `ridgeplot`
+- [statsmodels](https://www.statsmodels.org/) - Used for Kernel Density Estimation (KDE)
+- [numpy](https://numpy.org/) - Supporting library for multi-dimensional array manipulations
+
+## How to use it?
+
+The official docs can be found at: https://ridgeplot.readthedocs.io/en/stable/
+
+### Sensible defaults
+
+```python
+import numpy as np
+
+from ridgeplot import ridgeplot
+
+# Put your real samples here...
+np.random.seed(0)
+synthetic_samples = [np.random.normal(n / 1.2, size=600) for n in range(9, 0, -1)]
+
+# Call the `ridgeplot()` helper, packed with sensible defaults
+fig = ridgeplot(samples=synthetic_samples)
+
+# The returned Plotly `Figure` is still fully customizable
+fig.update_layout(height=500, width=800)
+
+# show us the work!
+fig.show()
+```
+
+![ridgeline plot example using the ridgeplot Python library](docs/_static/img/example_simple.png)
+
+### Fully configurable
+
+In this example, we will be replicating the first ridgeline plot example in
+[this _from Data to Viz_ post](https://www.data-to-viz.com/graph/ridgeline.html), which uses the
+_probly_ dataset. You can find the _plobly_ dataset on multiple sources like in the
+[bokeh](https://raw.githubusercontent.com/bokeh/bokeh/17a0b288052afac80ebcf0aa74e3915452fce3ca/src/bokeh/sampledata/_data/probly.csv)
+python interactive visualization library. I'll be using the
+[same source](https://raw.githubusercontent.com/zonination/perceptions/51207062aa173777264d3acce0131e1e2456d966/probly.csv)
+used in the original post.
+
+```python
+import numpy as np
+from ridgeplot import ridgeplot
+from ridgeplot.datasets import load_probly
+
+# Load the probly dataset
+df = load_probly()
+
+# Let's grab only the subset of columns displayed in the example
+column_names = [
+    "Almost Certainly", "Very Good Chance", "We Believe", "Likely",
+    "About Even", "Little Chance", "Chances Are Slight", "Almost No Chance",
+]  # fmt: skip
+df = df[column_names]
+
+# Not only does 'ridgeplot(...)' come configured with sensible defaults
+# but is also fully configurable to your own style and preference!
+fig = ridgeplot(
+    samples=df.values.T,
+    bandwidth=4,
+    kde_points=np.linspace(-12.5, 112.5, 400),
+    colorscale="viridis",
+    colormode="index",
+    coloralpha=0.6,
+    labels=column_names,
+    spacing=5 / 9,
+)
+
+# Again, update the figure layout to your liking here
+fig.update_layout(
+    title="What probability would you assign to the phrase <i>“Highly likely”</i>?",
+    height=650,
+    width=800,
+    plot_bgcolor="rgba(255, 255, 255, 0.0)",
+    xaxis_gridcolor="rgba(0, 0, 0, 0.1)",
+    yaxis_gridcolor="rgba(0, 0, 0, 0.1)",
+    yaxis_title="Assigned Probability (%)",
+)
+fig.show()
+```
+
+![ridgeline plot of the probly dataset using the ridgeplot Python library](docs/_static/img/example_probly.png)
+
+
+%package -n python3-ridgeplot
+Summary:	Beautiful ridgeline plots in python
+Provides:	python-ridgeplot
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-ridgeplot
+<p align="center">
+    <img src="docs/_static/img/logo-wide.png" alt="ridgeplot - beautiful ridgeline plots in Python">
+</p>
+
+<h1 id="ridgeplot" align="center">
+    ridgeplot: beautiful ridgeline plots in Python
+</h1>
+
+<p align="center">
+  <!-- TODO: https://bestpractices.coreinfrastructure.org/en -->
+  <!-- TODO: https://www.gitpod.io/docs/getting-started -->
+  <a href="https://pypi.org/project/ridgeplot/"><img src="https://img.shields.io/pypi/v/ridgeplot" alt="PyPI - Latest Release"></a>
+  <a href="https://github.com/tpvasconcelos/ridgeplot/"><img src="https://img.shields.io/pypi/pyversions/ridgeplot" alt="PyPI - Python Versions"></a>
+  <a href="https://pypi.org/project/ridgeplot/"><img src="https://img.shields.io/pypi/status/ridgeplot.svg" alt="PyPI - Package Status"></a>
+  <a href="https://github.com/tpvasconcelos/ridgeplot/blob/main/LICENSE"><img src="https://img.shields.io/pypi/l/ridgeplot" alt="PyPI - License"></a>
+  <br>
+  <a href="https://github.com/tpvasconcelos/ridgeplot/actions/workflows/ci.yaml/"><img src="https://github.com/tpvasconcelos/ridgeplot/actions/workflows/ci.yaml/badge.svg" alt="GitHub CI"></a>
+  <a href="https://ridgeplot.readthedocs.io/en/latest/"><img src="https://readthedocs.org/projects/ridgeplot/badge/?version=latest&style=flat" alt="Docs"></a>
+  <a href="https://codecov.io/gh/tpvasconcelos/ridgeplot"><img src="https://codecov.io/gh/tpvasconcelos/ridgeplot/branch/main/graph/badge.svg" alt="codecov"></a>
+  <a href="https://www.codefactor.io/repository/github/tpvasconcelos/ridgeplot"><img src="https://www.codefactor.io/repository/github/tpvasconcelos/ridgeplot/badge" alt="CodeFactor"></a>
+  <a href="https://www.codacy.com/gh/tpvasconcelos/ridgeplot/dashboard?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=tpvasconcelos/ridgeplot&amp;utm_campaign=Badge_Grade"><img src="https://app.codacy.com/project/badge/Grade/e21652ac49874b6f94ed3c9b7ac77021" alt="Codacy code quality"/></a>
+</p>
+
+<!-- <p align="center"><i>Beautiful ridgeline plots in python</i></p> -->
+
+______________________________________________________________________
+
+The `ridgeplot` python library aims at providing a simple API for plotting beautiful
+[ridgeline plots](https://www.data-to-viz.com/graph/ridgeline.html) within the extensive
+[Plotly](https://plotly.com/python/) interactive graphing environment.
+
+Bumper stickers:
+
+- Do one thing, and do it well!
+- Use sensible defaults, but allow for extensive configuration!
+
+## How to get it?
+
+The source code is currently hosted on GitHub at: <https://github.com/tpvasconcelos/ridgeplot>
+
+Install and update using [pip](https://pip.pypa.io/en/stable/quickstart/):
+
+```shell
+pip install -U ridgeplot
+```
+
+### Dependencies
+
+- [plotly](https://plotly.com/) - the interactive graphing backend that powers `ridgeplot`
+- [statsmodels](https://www.statsmodels.org/) - Used for Kernel Density Estimation (KDE)
+- [numpy](https://numpy.org/) - Supporting library for multi-dimensional array manipulations
+
+## How to use it?
+
+The official docs can be found at: https://ridgeplot.readthedocs.io/en/stable/
+
+### Sensible defaults
+
+```python
+import numpy as np
+
+from ridgeplot import ridgeplot
+
+# Put your real samples here...
+np.random.seed(0)
+synthetic_samples = [np.random.normal(n / 1.2, size=600) for n in range(9, 0, -1)]
+
+# Call the `ridgeplot()` helper, packed with sensible defaults
+fig = ridgeplot(samples=synthetic_samples)
+
+# The returned Plotly `Figure` is still fully customizable
+fig.update_layout(height=500, width=800)
+
+# show us the work!
+fig.show()
+```
+
+![ridgeline plot example using the ridgeplot Python library](docs/_static/img/example_simple.png)
+
+### Fully configurable
+
+In this example, we will be replicating the first ridgeline plot example in
+[this _from Data to Viz_ post](https://www.data-to-viz.com/graph/ridgeline.html), which uses the
+_probly_ dataset. You can find the _plobly_ dataset on multiple sources like in the
+[bokeh](https://raw.githubusercontent.com/bokeh/bokeh/17a0b288052afac80ebcf0aa74e3915452fce3ca/src/bokeh/sampledata/_data/probly.csv)
+python interactive visualization library. I'll be using the
+[same source](https://raw.githubusercontent.com/zonination/perceptions/51207062aa173777264d3acce0131e1e2456d966/probly.csv)
+used in the original post.
+
+```python
+import numpy as np
+from ridgeplot import ridgeplot
+from ridgeplot.datasets import load_probly
+
+# Load the probly dataset
+df = load_probly()
+
+# Let's grab only the subset of columns displayed in the example
+column_names = [
+    "Almost Certainly", "Very Good Chance", "We Believe", "Likely",
+    "About Even", "Little Chance", "Chances Are Slight", "Almost No Chance",
+]  # fmt: skip
+df = df[column_names]
+
+# Not only does 'ridgeplot(...)' come configured with sensible defaults
+# but is also fully configurable to your own style and preference!
+fig = ridgeplot(
+    samples=df.values.T,
+    bandwidth=4,
+    kde_points=np.linspace(-12.5, 112.5, 400),
+    colorscale="viridis",
+    colormode="index",
+    coloralpha=0.6,
+    labels=column_names,
+    spacing=5 / 9,
+)
+
+# Again, update the figure layout to your liking here
+fig.update_layout(
+    title="What probability would you assign to the phrase <i>“Highly likely”</i>?",
+    height=650,
+    width=800,
+    plot_bgcolor="rgba(255, 255, 255, 0.0)",
+    xaxis_gridcolor="rgba(0, 0, 0, 0.1)",
+    yaxis_gridcolor="rgba(0, 0, 0, 0.1)",
+    yaxis_title="Assigned Probability (%)",
+)
+fig.show()
+```
+
+![ridgeline plot of the probly dataset using the ridgeplot Python library](docs/_static/img/example_probly.png)
+
+
+%package help
+Summary:	Development documents and examples for ridgeplot
+Provides:	python3-ridgeplot-doc
+%description help
+<p align="center">
+    <img src="docs/_static/img/logo-wide.png" alt="ridgeplot - beautiful ridgeline plots in Python">
+</p>
+
+<h1 id="ridgeplot" align="center">
+    ridgeplot: beautiful ridgeline plots in Python
+</h1>
+
+<p align="center">
+  <!-- TODO: https://bestpractices.coreinfrastructure.org/en -->
+  <!-- TODO: https://www.gitpod.io/docs/getting-started -->
+  <a href="https://pypi.org/project/ridgeplot/"><img src="https://img.shields.io/pypi/v/ridgeplot" alt="PyPI - Latest Release"></a>
+  <a href="https://github.com/tpvasconcelos/ridgeplot/"><img src="https://img.shields.io/pypi/pyversions/ridgeplot" alt="PyPI - Python Versions"></a>
+  <a href="https://pypi.org/project/ridgeplot/"><img src="https://img.shields.io/pypi/status/ridgeplot.svg" alt="PyPI - Package Status"></a>
+  <a href="https://github.com/tpvasconcelos/ridgeplot/blob/main/LICENSE"><img src="https://img.shields.io/pypi/l/ridgeplot" alt="PyPI - License"></a>
+  <br>
+  <a href="https://github.com/tpvasconcelos/ridgeplot/actions/workflows/ci.yaml/"><img src="https://github.com/tpvasconcelos/ridgeplot/actions/workflows/ci.yaml/badge.svg" alt="GitHub CI"></a>
+  <a href="https://ridgeplot.readthedocs.io/en/latest/"><img src="https://readthedocs.org/projects/ridgeplot/badge/?version=latest&style=flat" alt="Docs"></a>
+  <a href="https://codecov.io/gh/tpvasconcelos/ridgeplot"><img src="https://codecov.io/gh/tpvasconcelos/ridgeplot/branch/main/graph/badge.svg" alt="codecov"></a>
+  <a href="https://www.codefactor.io/repository/github/tpvasconcelos/ridgeplot"><img src="https://www.codefactor.io/repository/github/tpvasconcelos/ridgeplot/badge" alt="CodeFactor"></a>
+  <a href="https://www.codacy.com/gh/tpvasconcelos/ridgeplot/dashboard?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=tpvasconcelos/ridgeplot&amp;utm_campaign=Badge_Grade"><img src="https://app.codacy.com/project/badge/Grade/e21652ac49874b6f94ed3c9b7ac77021" alt="Codacy code quality"/></a>
+</p>
+
+<!-- <p align="center"><i>Beautiful ridgeline plots in python</i></p> -->
+
+______________________________________________________________________
+
+The `ridgeplot` python library aims at providing a simple API for plotting beautiful
+[ridgeline plots](https://www.data-to-viz.com/graph/ridgeline.html) within the extensive
+[Plotly](https://plotly.com/python/) interactive graphing environment.
+
+Bumper stickers:
+
+- Do one thing, and do it well!
+- Use sensible defaults, but allow for extensive configuration!
+
+## How to get it?
+
+The source code is currently hosted on GitHub at: <https://github.com/tpvasconcelos/ridgeplot>
+
+Install and update using [pip](https://pip.pypa.io/en/stable/quickstart/):
+
+```shell
+pip install -U ridgeplot
+```
+
+### Dependencies
+
+- [plotly](https://plotly.com/) - the interactive graphing backend that powers `ridgeplot`
+- [statsmodels](https://www.statsmodels.org/) - Used for Kernel Density Estimation (KDE)
+- [numpy](https://numpy.org/) - Supporting library for multi-dimensional array manipulations
+
+## How to use it?
+
+The official docs can be found at: https://ridgeplot.readthedocs.io/en/stable/
+
+### Sensible defaults
+
+```python
+import numpy as np
+
+from ridgeplot import ridgeplot
+
+# Put your real samples here...
+np.random.seed(0)
+synthetic_samples = [np.random.normal(n / 1.2, size=600) for n in range(9, 0, -1)]
+
+# Call the `ridgeplot()` helper, packed with sensible defaults
+fig = ridgeplot(samples=synthetic_samples)
+
+# The returned Plotly `Figure` is still fully customizable
+fig.update_layout(height=500, width=800)
+
+# show us the work!
+fig.show()
+```
+
+![ridgeline plot example using the ridgeplot Python library](docs/_static/img/example_simple.png)
+
+### Fully configurable
+
+In this example, we will be replicating the first ridgeline plot example in
+[this _from Data to Viz_ post](https://www.data-to-viz.com/graph/ridgeline.html), which uses the
+_probly_ dataset. You can find the _plobly_ dataset on multiple sources like in the
+[bokeh](https://raw.githubusercontent.com/bokeh/bokeh/17a0b288052afac80ebcf0aa74e3915452fce3ca/src/bokeh/sampledata/_data/probly.csv)
+python interactive visualization library. I'll be using the
+[same source](https://raw.githubusercontent.com/zonination/perceptions/51207062aa173777264d3acce0131e1e2456d966/probly.csv)
+used in the original post.
+
+```python
+import numpy as np
+from ridgeplot import ridgeplot
+from ridgeplot.datasets import load_probly
+
+# Load the probly dataset
+df = load_probly()
+
+# Let's grab only the subset of columns displayed in the example
+column_names = [
+    "Almost Certainly", "Very Good Chance", "We Believe", "Likely",
+    "About Even", "Little Chance", "Chances Are Slight", "Almost No Chance",
+]  # fmt: skip
+df = df[column_names]
+
+# Not only does 'ridgeplot(...)' come configured with sensible defaults
+# but is also fully configurable to your own style and preference!
+fig = ridgeplot(
+    samples=df.values.T,
+    bandwidth=4,
+    kde_points=np.linspace(-12.5, 112.5, 400),
+    colorscale="viridis",
+    colormode="index",
+    coloralpha=0.6,
+    labels=column_names,
+    spacing=5 / 9,
+)
+
+# Again, update the figure layout to your liking here
+fig.update_layout(
+    title="What probability would you assign to the phrase <i>“Highly likely”</i>?",
+    height=650,
+    width=800,
+    plot_bgcolor="rgba(255, 255, 255, 0.0)",
+    xaxis_gridcolor="rgba(0, 0, 0, 0.1)",
+    yaxis_gridcolor="rgba(0, 0, 0, 0.1)",
+    yaxis_title="Assigned Probability (%)",
+)
+fig.show()
+```
+
+![ridgeline plot of the probly dataset using the ridgeplot Python library](docs/_static/img/example_probly.png)
+
+
+%prep
+%autosetup -n ridgeplot-0.1.21
+
+%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-ridgeplot -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.21-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..97d0d4b
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+92ad7c77be1ad2529ed87bdc7d5c6256  ridgeplot-0.1.21.tar.gz