automatic import of python-qbstyles

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+%global _empty_manifest_terminate_build 0
+Name:		python-qbstyles
+Version:	0.1.4
+Release:	1
+Summary:	QB styles for common plotting libraries
+License:	Apache 2.0
+URL:		https://github.com/quantumblacklabs/qbstyles
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/56/65/b0a2f4b8ba3a110276c7d74b1e901f7ae4046b11ea2d493471a2e1858c73/qbstyles-0.1.4.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-matplotlib
+
+%description
+# QB Styles
+
+[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![Python Version](https://img.shields.io/pypi/pyversions/qbstyles.svg)](https://pypi.org/project/qbstyles/)
+[![PyPI version](https://badge.fury.io/py/qbstyles.svg)](https://pypi.org/project/qbstyles/)
+[![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black)
+
+QB Styles is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) style.
+
+Dark style | Light style
+|-----------|----------- |
+| ![Line plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/line.png?raw=true "Line plot") | ![Distribution plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/distribution_light.png?raw=true "Distribution plot") |
+
+## How do I install QB Styles?
+
+`qbstyles` is a Python package. To install it, simply run:
+
+
+```bash
+pip install qbstyles
+```
+
+## How do I use QB Styles?
+
+You can use the dark Matplotlib style theme in the following way:
+
+```python
+from qbstyles import mpl_style
+
+mpl_style(dark=True)
+```
+
+And to use the light Matplotlib style theme, you can do the following: 
+
+```python
+from qbstyles import mpl_style
+
+mpl_style(dark=False)
+```
+
+### How do I use QB Styles in Jupyter Notebooks?
+
+> ⚠️ Please make sure you run `from qbstyles import mpl_style` and `mpl_style()` in **different cells** as shown below. See [this issue](https://github.com/jupyter/notebook/issues/3691) for more details.
+
+```python
+# first cell
+from qbstyles import mpl_style
+```
+```python
+# second cell
+mpl_style()
+```
+
+## What chart types can use QB Styles?
+
+- Line plots
+- Scatter plots
+- Bubble plots
+- Bar charts
+- Pie charts
+- Histograms and distribution plots
+- 3D surface plots
+- Stream plots
+- Polar plots
+
+## Can you show me a few examples?
+
+To run the examples in [`example.ipynb`](https://github.com/quantumblacklabs/qbstyles/blob/master/example.ipynb), install the required packages using ``pip install -r requirements_notebook.txt`` in a Python virtual environment of your choice.
+
+```python
+import matplotlib.pyplot as plt
+from qbstyles import mpl_style
+
+def plot(dark):
+    mpl_style(dark)
+    fig, axes = plt.subplots(2, 2, figsize=(15, 10))
+
+    # the following functions are defined in example.ipynb 
+    line_plot(axes[0, 0])
+    scatter_plot(axes[0, 1])
+    distribution_plot(axes[1, 0])
+    ax = plt.subplot(2, 2, 4, projection='polar')
+    polar_plot(ax)
+
+plot(dark=True)
+```
+
+![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_6_0.png?raw=true)
+
+```python
+plot(dark=False)
+```
+
+![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_7_0.png?raw=true)
+
+## How do I create my own styles? 
+
+Have a look at the files [qb-common.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-common.mplstyle), [qb-dark.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-dark.mplstyle) and [qb-light.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-light.mplstyle). They contain many elements that you may want to customise.
+
+To do so, create a file similar to the above files at the root of your project, and apply it after the `qbstyle` as follows:
+
+```python
+import matplotlib.pyplot as plt
+from qbstyles import mpl_style
+
+mpl_style()
+plt.style.use('./your-style.mplstyle')
+```
+
+All of `matplotlibrc`'s options can be found [here](https://matplotlib.org/tutorials/introductory/customizing.html#a-sample-matplotlibrc-file).
+
+## What licence do you use?
+
+QB Styles is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
+
+
+
+
+%package -n python3-qbstyles
+Summary:	QB styles for common plotting libraries
+Provides:	python-qbstyles
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-qbstyles
+# QB Styles
+
+[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![Python Version](https://img.shields.io/pypi/pyversions/qbstyles.svg)](https://pypi.org/project/qbstyles/)
+[![PyPI version](https://badge.fury.io/py/qbstyles.svg)](https://pypi.org/project/qbstyles/)
+[![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black)
+
+QB Styles is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) style.
+
+Dark style | Light style
+|-----------|----------- |
+| ![Line plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/line.png?raw=true "Line plot") | ![Distribution plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/distribution_light.png?raw=true "Distribution plot") |
+
+## How do I install QB Styles?
+
+`qbstyles` is a Python package. To install it, simply run:
+
+
+```bash
+pip install qbstyles
+```
+
+## How do I use QB Styles?
+
+You can use the dark Matplotlib style theme in the following way:
+
+```python
+from qbstyles import mpl_style
+
+mpl_style(dark=True)
+```
+
+And to use the light Matplotlib style theme, you can do the following: 
+
+```python
+from qbstyles import mpl_style
+
+mpl_style(dark=False)
+```
+
+### How do I use QB Styles in Jupyter Notebooks?
+
+> ⚠️ Please make sure you run `from qbstyles import mpl_style` and `mpl_style()` in **different cells** as shown below. See [this issue](https://github.com/jupyter/notebook/issues/3691) for more details.
+
+```python
+# first cell
+from qbstyles import mpl_style
+```
+```python
+# second cell
+mpl_style()
+```
+
+## What chart types can use QB Styles?
+
+- Line plots
+- Scatter plots
+- Bubble plots
+- Bar charts
+- Pie charts
+- Histograms and distribution plots
+- 3D surface plots
+- Stream plots
+- Polar plots
+
+## Can you show me a few examples?
+
+To run the examples in [`example.ipynb`](https://github.com/quantumblacklabs/qbstyles/blob/master/example.ipynb), install the required packages using ``pip install -r requirements_notebook.txt`` in a Python virtual environment of your choice.
+
+```python
+import matplotlib.pyplot as plt
+from qbstyles import mpl_style
+
+def plot(dark):
+    mpl_style(dark)
+    fig, axes = plt.subplots(2, 2, figsize=(15, 10))
+
+    # the following functions are defined in example.ipynb 
+    line_plot(axes[0, 0])
+    scatter_plot(axes[0, 1])
+    distribution_plot(axes[1, 0])
+    ax = plt.subplot(2, 2, 4, projection='polar')
+    polar_plot(ax)
+
+plot(dark=True)
+```
+
+![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_6_0.png?raw=true)
+
+```python
+plot(dark=False)
+```
+
+![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_7_0.png?raw=true)
+
+## How do I create my own styles? 
+
+Have a look at the files [qb-common.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-common.mplstyle), [qb-dark.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-dark.mplstyle) and [qb-light.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-light.mplstyle). They contain many elements that you may want to customise.
+
+To do so, create a file similar to the above files at the root of your project, and apply it after the `qbstyle` as follows:
+
+```python
+import matplotlib.pyplot as plt
+from qbstyles import mpl_style
+
+mpl_style()
+plt.style.use('./your-style.mplstyle')
+```
+
+All of `matplotlibrc`'s options can be found [here](https://matplotlib.org/tutorials/introductory/customizing.html#a-sample-matplotlibrc-file).
+
+## What licence do you use?
+
+QB Styles is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
+
+
+
+
+%package help
+Summary:	Development documents and examples for qbstyles
+Provides:	python3-qbstyles-doc
+%description help
+# QB Styles
+
+[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![Python Version](https://img.shields.io/pypi/pyversions/qbstyles.svg)](https://pypi.org/project/qbstyles/)
+[![PyPI version](https://badge.fury.io/py/qbstyles.svg)](https://pypi.org/project/qbstyles/)
+[![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black)
+
+QB Styles is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) style.
+
+Dark style | Light style
+|-----------|----------- |
+| ![Line plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/line.png?raw=true "Line plot") | ![Distribution plot](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/distribution_light.png?raw=true "Distribution plot") |
+
+## How do I install QB Styles?
+
+`qbstyles` is a Python package. To install it, simply run:
+
+
+```bash
+pip install qbstyles
+```
+
+## How do I use QB Styles?
+
+You can use the dark Matplotlib style theme in the following way:
+
+```python
+from qbstyles import mpl_style
+
+mpl_style(dark=True)
+```
+
+And to use the light Matplotlib style theme, you can do the following: 
+
+```python
+from qbstyles import mpl_style
+
+mpl_style(dark=False)
+```
+
+### How do I use QB Styles in Jupyter Notebooks?
+
+> ⚠️ Please make sure you run `from qbstyles import mpl_style` and `mpl_style()` in **different cells** as shown below. See [this issue](https://github.com/jupyter/notebook/issues/3691) for more details.
+
+```python
+# first cell
+from qbstyles import mpl_style
+```
+```python
+# second cell
+mpl_style()
+```
+
+## What chart types can use QB Styles?
+
+- Line plots
+- Scatter plots
+- Bubble plots
+- Bar charts
+- Pie charts
+- Histograms and distribution plots
+- 3D surface plots
+- Stream plots
+- Polar plots
+
+## Can you show me a few examples?
+
+To run the examples in [`example.ipynb`](https://github.com/quantumblacklabs/qbstyles/blob/master/example.ipynb), install the required packages using ``pip install -r requirements_notebook.txt`` in a Python virtual environment of your choice.
+
+```python
+import matplotlib.pyplot as plt
+from qbstyles import mpl_style
+
+def plot(dark):
+    mpl_style(dark)
+    fig, axes = plt.subplots(2, 2, figsize=(15, 10))
+
+    # the following functions are defined in example.ipynb 
+    line_plot(axes[0, 0])
+    scatter_plot(axes[0, 1])
+    distribution_plot(axes[1, 0])
+    ax = plt.subplot(2, 2, 4, projection='polar')
+    polar_plot(ax)
+
+plot(dark=True)
+```
+
+![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_6_0.png?raw=true)
+
+```python
+plot(dark=False)
+```
+
+![png](https://github.com/quantumblacklabs/qbstyles/raw/master/examples/output_7_0.png?raw=true)
+
+## How do I create my own styles? 
+
+Have a look at the files [qb-common.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-common.mplstyle), [qb-dark.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-dark.mplstyle) and [qb-light.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-light.mplstyle). They contain many elements that you may want to customise.
+
+To do so, create a file similar to the above files at the root of your project, and apply it after the `qbstyle` as follows:
+
+```python
+import matplotlib.pyplot as plt
+from qbstyles import mpl_style
+
+mpl_style()
+plt.style.use('./your-style.mplstyle')
+```
+
+All of `matplotlibrc`'s options can be found [here](https://matplotlib.org/tutorials/introductory/customizing.html#a-sample-matplotlibrc-file).
+
+## What licence do you use?
+
+QB Styles is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
+
+
+
+
+%prep
+%autosetup -n qbstyles-0.1.4
+
+%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-qbstyles -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.4-1
+- Package Spec generated