automatic import of python-dufte

3 files changed, 346 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..316baeb 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/dufte-0.2.29.tar.gz
diff --git a/python-dufte.spec b/python-dufte.spec
new file mode 100644
index 0000000..efe9d79
--- /dev/null
+++ b/python-dufte.spec
@@ -0,0 +1,344 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-dufte
+Version:	0.2.29
+Release:	1
+Summary:	Clean matplotlib plots
+License:	MIT
+URL:		https://github.com/nschloe/dufte
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/3f/dc/81f41060445a319f24c9771e66b8a935fb435b1ca13fecf8cb4b9310a39f/dufte-0.2.29.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-matplotlib
+Requires:	python3-numpy
+
+%description
+<p align="center">
+  <a href="https://github.com/nschloe/dufte"><img alt="dufte-logo" src="https://nschloe.github.io/dufte/logo.svg" width="40%"></a>
+  <p align="center"><a href="https://en.wikipedia.org/wiki/Berlin_German">Da kiekste, wa?</a></p>
+</p>
+[![PyPi Version](https://img.shields.io/pypi/v/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
+[![Anaconda Cloud](https://anaconda.org/conda-forge/dufte/badges/version.svg?=style=flat-square)](https://anaconda.org/conda-forge/dufte/)
+[![PyPI pyversions](https://img.shields.io/pypi/pyversions/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
+[![GitHub stars](https://img.shields.io/github/stars/nschloe/dufte.svg?logo=github&label=Stars&logoColor=white&style=flat-square)](https://github.com/nschloe/dufte)
+[![Downloads](https://pepy.tech/badge/dufte/month?style=flat-square)](https://pepy.tech/project/dufte)
+<!--[![PyPi downloads](https://img.shields.io/pypi/dm/dufte.svg?style=flat-square)](https://pypistats.org/packages/dufte)-->
+[![gh-actions](https://img.shields.io/github/workflow/status/nschloe/dufte/ci?style=flat-square)](https://github.com/nschloe/dufte/actions?query=workflow%3Aci)
+[![codecov](https://img.shields.io/codecov/c/github/nschloe/dufte.svg?style=flat-square)](https://codecov.io/gh/nschloe/dufte)
+[![LGTM](https://img.shields.io/lgtm/grade/python/github/nschloe/dufte.svg?style=flat-square)](https://lgtm.com/projects/g/nschloe/dufte)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)
+This package creates clean and beautiful plots that work on light and dark backgrounds.
+Inspired by the work of [Edward Tufte](https://en.wikipedia.org/wiki/Edward_Tufte).
+To use, install with
+```
+pip install dufte
+```
+and simply select the `dufte` style:
+```python
+import dufte
+import matplotlib.pyplot as plt
+# global setting:
+plt.style.use(dufte.style)
+# with a context manager:
+with plt.style.context(dufte.style_bar):
+    # ...
+    pass
+```
+Check out `dufte.legend()`, `dufte.ylabel()`, and `dufte.show_bar_values()` for more
+duftiness.
+#### Comparison with default Matplotlib
+See [here](tests/create_comparison.py) for how to create the below plots.
+<a href="tests/create_comparison.py">
+<table width="100%">
+  <tr>
+  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-mpl.svg"/></td>
+  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-dufte.svg"/></td>
+  </tr>
+  <tr>
+    <td>matplotlib</td>
+    <td>dufte with <code>dufte.legend()</code></td>
+  </tr>
+</table>
+</a>
+<a href="tests/create_comparison.py">
+<table width="100%">
+  <tr>
+  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-mpl.svg"/></td>
+  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte1.svg"/></td>
+  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte2.svg"/></td>
+  </tr>
+  <tr>
+    <td>matplotlib</td>
+    <td>dufte</td>
+    <td>dufte with <code>dufte.show_bar_values()</code></td>
+  </tr>
+</table>
+</a>
+### Further reading and other styles
+- [Remove to improve: data-ink ratio](https://www.darkhorseanalytics.com/blog/data-looks-better-naked)
+  <img src="https://nschloe.github.io/dufte/data-ink.webp" width="50%"/>
+- [Remove to improve: Line Graph Edition](https://youtu.be/bDbJBWvonVI)
+- [Show the Data - Maximize the Data Ink Ratio](https://youtu.be/pCp0a5_YIWE)
+- [Randal S. Olson's blog entry](http://www.randalolson.com/2014/06/28/how-to-make-beautiful-data-visualizations-in-python-with-matplotlib/)
+- [prettyplotlib](https://github.com/olgabot/prettyplotlib)
+- [Wikipedia: Chartjunk](https://en.wikipedia.org/wiki/Chartjunk)
+Other styles
+- [John Garrett, _Science Plots_](https://github.com/garrettj403/SciencePlots)
+- [Dominik Haitz, _Cyberpunk style_](https://github.com/dhaitz/mplcyberpunk)
+- [Dominik Haitz, _Matplotlib stylesheets_](https://github.com/dhaitz/matplotlib-stylesheets)
+- [Carlos da Costa, _The Grand Budapest Hotel_](https://github.com/cako/mpl_grandbudapest)
+- [Danny Antaki, _vaporwave aesthetics_](https://github.com/dantaki/vapeplot)
+- [QuantumBlack Labs, _QuantumBlack_](https://github.com/quantumblacklabs/qbstyles)
+Projects using dufte:
+- [perfplot](https://github.com/nschloe/perfplot)
+- [stargraph](https://github.com/nschloe/stargraph)
+### Background
+[![xdoc](https://img.shields.io/badge/Rendered%20with-xdoc-f2eecb?style=flat-square)](https://chrome.google.com/webstore/detail/xdoc/anidddebgkllnnnnjfkmjcaallemhjee)
+The position $`x_i`$ of the line annotations is computed as the solution of a
+non-negative least-squares problem
+```math
+\begin{align}
+\frac{1}{2}\sum_i (x_i - t_i)^2 \to \min_x,\\
+(x_i - x_j)^2 \ge a^2 \quad \forall i,j.
+\end{align}
+```
+where $`a`$ is the minimum distance between two entries and $`t_i`$ is the target
+position.
+
+%package -n python3-dufte
+Summary:	Clean matplotlib plots
+Provides:	python-dufte
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-dufte
+<p align="center">
+  <a href="https://github.com/nschloe/dufte"><img alt="dufte-logo" src="https://nschloe.github.io/dufte/logo.svg" width="40%"></a>
+  <p align="center"><a href="https://en.wikipedia.org/wiki/Berlin_German">Da kiekste, wa?</a></p>
+</p>
+[![PyPi Version](https://img.shields.io/pypi/v/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
+[![Anaconda Cloud](https://anaconda.org/conda-forge/dufte/badges/version.svg?=style=flat-square)](https://anaconda.org/conda-forge/dufte/)
+[![PyPI pyversions](https://img.shields.io/pypi/pyversions/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
+[![GitHub stars](https://img.shields.io/github/stars/nschloe/dufte.svg?logo=github&label=Stars&logoColor=white&style=flat-square)](https://github.com/nschloe/dufte)
+[![Downloads](https://pepy.tech/badge/dufte/month?style=flat-square)](https://pepy.tech/project/dufte)
+<!--[![PyPi downloads](https://img.shields.io/pypi/dm/dufte.svg?style=flat-square)](https://pypistats.org/packages/dufte)-->
+[![gh-actions](https://img.shields.io/github/workflow/status/nschloe/dufte/ci?style=flat-square)](https://github.com/nschloe/dufte/actions?query=workflow%3Aci)
+[![codecov](https://img.shields.io/codecov/c/github/nschloe/dufte.svg?style=flat-square)](https://codecov.io/gh/nschloe/dufte)
+[![LGTM](https://img.shields.io/lgtm/grade/python/github/nschloe/dufte.svg?style=flat-square)](https://lgtm.com/projects/g/nschloe/dufte)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)
+This package creates clean and beautiful plots that work on light and dark backgrounds.
+Inspired by the work of [Edward Tufte](https://en.wikipedia.org/wiki/Edward_Tufte).
+To use, install with
+```
+pip install dufte
+```
+and simply select the `dufte` style:
+```python
+import dufte
+import matplotlib.pyplot as plt
+# global setting:
+plt.style.use(dufte.style)
+# with a context manager:
+with plt.style.context(dufte.style_bar):
+    # ...
+    pass
+```
+Check out `dufte.legend()`, `dufte.ylabel()`, and `dufte.show_bar_values()` for more
+duftiness.
+#### Comparison with default Matplotlib
+See [here](tests/create_comparison.py) for how to create the below plots.
+<a href="tests/create_comparison.py">
+<table width="100%">
+  <tr>
+  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-mpl.svg"/></td>
+  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-dufte.svg"/></td>
+  </tr>
+  <tr>
+    <td>matplotlib</td>
+    <td>dufte with <code>dufte.legend()</code></td>
+  </tr>
+</table>
+</a>
+<a href="tests/create_comparison.py">
+<table width="100%">
+  <tr>
+  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-mpl.svg"/></td>
+  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte1.svg"/></td>
+  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte2.svg"/></td>
+  </tr>
+  <tr>
+    <td>matplotlib</td>
+    <td>dufte</td>
+    <td>dufte with <code>dufte.show_bar_values()</code></td>
+  </tr>
+</table>
+</a>
+### Further reading and other styles
+- [Remove to improve: data-ink ratio](https://www.darkhorseanalytics.com/blog/data-looks-better-naked)
+  <img src="https://nschloe.github.io/dufte/data-ink.webp" width="50%"/>
+- [Remove to improve: Line Graph Edition](https://youtu.be/bDbJBWvonVI)
+- [Show the Data - Maximize the Data Ink Ratio](https://youtu.be/pCp0a5_YIWE)
+- [Randal S. Olson's blog entry](http://www.randalolson.com/2014/06/28/how-to-make-beautiful-data-visualizations-in-python-with-matplotlib/)
+- [prettyplotlib](https://github.com/olgabot/prettyplotlib)
+- [Wikipedia: Chartjunk](https://en.wikipedia.org/wiki/Chartjunk)
+Other styles
+- [John Garrett, _Science Plots_](https://github.com/garrettj403/SciencePlots)
+- [Dominik Haitz, _Cyberpunk style_](https://github.com/dhaitz/mplcyberpunk)
+- [Dominik Haitz, _Matplotlib stylesheets_](https://github.com/dhaitz/matplotlib-stylesheets)
+- [Carlos da Costa, _The Grand Budapest Hotel_](https://github.com/cako/mpl_grandbudapest)
+- [Danny Antaki, _vaporwave aesthetics_](https://github.com/dantaki/vapeplot)
+- [QuantumBlack Labs, _QuantumBlack_](https://github.com/quantumblacklabs/qbstyles)
+Projects using dufte:
+- [perfplot](https://github.com/nschloe/perfplot)
+- [stargraph](https://github.com/nschloe/stargraph)
+### Background
+[![xdoc](https://img.shields.io/badge/Rendered%20with-xdoc-f2eecb?style=flat-square)](https://chrome.google.com/webstore/detail/xdoc/anidddebgkllnnnnjfkmjcaallemhjee)
+The position $`x_i`$ of the line annotations is computed as the solution of a
+non-negative least-squares problem
+```math
+\begin{align}
+\frac{1}{2}\sum_i (x_i - t_i)^2 \to \min_x,\\
+(x_i - x_j)^2 \ge a^2 \quad \forall i,j.
+\end{align}
+```
+where $`a`$ is the minimum distance between two entries and $`t_i`$ is the target
+position.
+
+%package help
+Summary:	Development documents and examples for dufte
+Provides:	python3-dufte-doc
+%description help
+<p align="center">
+  <a href="https://github.com/nschloe/dufte"><img alt="dufte-logo" src="https://nschloe.github.io/dufte/logo.svg" width="40%"></a>
+  <p align="center"><a href="https://en.wikipedia.org/wiki/Berlin_German">Da kiekste, wa?</a></p>
+</p>
+[![PyPi Version](https://img.shields.io/pypi/v/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
+[![Anaconda Cloud](https://anaconda.org/conda-forge/dufte/badges/version.svg?=style=flat-square)](https://anaconda.org/conda-forge/dufte/)
+[![PyPI pyversions](https://img.shields.io/pypi/pyversions/dufte.svg?style=flat-square)](https://pypi.org/project/dufte/)
+[![GitHub stars](https://img.shields.io/github/stars/nschloe/dufte.svg?logo=github&label=Stars&logoColor=white&style=flat-square)](https://github.com/nschloe/dufte)
+[![Downloads](https://pepy.tech/badge/dufte/month?style=flat-square)](https://pepy.tech/project/dufte)
+<!--[![PyPi downloads](https://img.shields.io/pypi/dm/dufte.svg?style=flat-square)](https://pypistats.org/packages/dufte)-->
+[![gh-actions](https://img.shields.io/github/workflow/status/nschloe/dufte/ci?style=flat-square)](https://github.com/nschloe/dufte/actions?query=workflow%3Aci)
+[![codecov](https://img.shields.io/codecov/c/github/nschloe/dufte.svg?style=flat-square)](https://codecov.io/gh/nschloe/dufte)
+[![LGTM](https://img.shields.io/lgtm/grade/python/github/nschloe/dufte.svg?style=flat-square)](https://lgtm.com/projects/g/nschloe/dufte)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/psf/black)
+This package creates clean and beautiful plots that work on light and dark backgrounds.
+Inspired by the work of [Edward Tufte](https://en.wikipedia.org/wiki/Edward_Tufte).
+To use, install with
+```
+pip install dufte
+```
+and simply select the `dufte` style:
+```python
+import dufte
+import matplotlib.pyplot as plt
+# global setting:
+plt.style.use(dufte.style)
+# with a context manager:
+with plt.style.context(dufte.style_bar):
+    # ...
+    pass
+```
+Check out `dufte.legend()`, `dufte.ylabel()`, and `dufte.show_bar_values()` for more
+duftiness.
+#### Comparison with default Matplotlib
+See [here](tests/create_comparison.py) for how to create the below plots.
+<a href="tests/create_comparison.py">
+<table width="100%">
+  <tr>
+  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-mpl.svg"/></td>
+  <td width="50%"><img src="https://nschloe.github.io/dufte/ex1-dufte.svg"/></td>
+  </tr>
+  <tr>
+    <td>matplotlib</td>
+    <td>dufte with <code>dufte.legend()</code></td>
+  </tr>
+</table>
+</a>
+<a href="tests/create_comparison.py">
+<table width="100%">
+  <tr>
+  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-mpl.svg"/></td>
+  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte1.svg"/></td>
+  <td width="33%"><img src="https://nschloe.github.io/dufte/bars-dufte2.svg"/></td>
+  </tr>
+  <tr>
+    <td>matplotlib</td>
+    <td>dufte</td>
+    <td>dufte with <code>dufte.show_bar_values()</code></td>
+  </tr>
+</table>
+</a>
+### Further reading and other styles
+- [Remove to improve: data-ink ratio](https://www.darkhorseanalytics.com/blog/data-looks-better-naked)
+  <img src="https://nschloe.github.io/dufte/data-ink.webp" width="50%"/>
+- [Remove to improve: Line Graph Edition](https://youtu.be/bDbJBWvonVI)
+- [Show the Data - Maximize the Data Ink Ratio](https://youtu.be/pCp0a5_YIWE)
+- [Randal S. Olson's blog entry](http://www.randalolson.com/2014/06/28/how-to-make-beautiful-data-visualizations-in-python-with-matplotlib/)
+- [prettyplotlib](https://github.com/olgabot/prettyplotlib)
+- [Wikipedia: Chartjunk](https://en.wikipedia.org/wiki/Chartjunk)
+Other styles
+- [John Garrett, _Science Plots_](https://github.com/garrettj403/SciencePlots)
+- [Dominik Haitz, _Cyberpunk style_](https://github.com/dhaitz/mplcyberpunk)
+- [Dominik Haitz, _Matplotlib stylesheets_](https://github.com/dhaitz/matplotlib-stylesheets)
+- [Carlos da Costa, _The Grand Budapest Hotel_](https://github.com/cako/mpl_grandbudapest)
+- [Danny Antaki, _vaporwave aesthetics_](https://github.com/dantaki/vapeplot)
+- [QuantumBlack Labs, _QuantumBlack_](https://github.com/quantumblacklabs/qbstyles)
+Projects using dufte:
+- [perfplot](https://github.com/nschloe/perfplot)
+- [stargraph](https://github.com/nschloe/stargraph)
+### Background
+[![xdoc](https://img.shields.io/badge/Rendered%20with-xdoc-f2eecb?style=flat-square)](https://chrome.google.com/webstore/detail/xdoc/anidddebgkllnnnnjfkmjcaallemhjee)
+The position $`x_i`$ of the line annotations is computed as the solution of a
+non-negative least-squares problem
+```math
+\begin{align}
+\frac{1}{2}\sum_i (x_i - t_i)^2 \to \min_x,\\
+(x_i - x_j)^2 \ge a^2 \quad \forall i,j.
+\end{align}
+```
+where $`a`$ is the minimum distance between two entries and $`t_i`$ is the target
+position.
+
+%prep
+%autosetup -n dufte-0.2.29
+
+%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-dufte -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.29-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..f13fafc
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+70aaf860d324a28810343ea4ab51a280  dufte-0.2.29.tar.gz