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path: root/python-arviz.spec
blob: bcfd6c1d5938539655600132a7b82cbe77dc23a3 (plain)
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%global _empty_manifest_terminate_build 0
Name:		python-arviz
Version:	0.15.1
Release:	1
Summary:	Exploratory analysis of Bayesian models
License:	Apache-2.0
URL:		http://github.com/arviz-devs/arviz
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/19/de/923ea4785a2bfd02c80bdd2beb6357b347e25d52fd045aa437a521584c73/arviz-0.15.1.tar.gz
BuildArch:	noarch

Requires:	python3-setuptools
Requires:	python3-matplotlib
Requires:	python3-numpy
Requires:	python3-scipy
Requires:	python3-packaging
Requires:	python3-pandas
Requires:	python3-xarray
Requires:	python3-h5netcdf
Requires:	python3-typing-extensions
Requires:	python3-xarray-einstats
Requires:	python3-numba
Requires:	python3-netcdf4
Requires:	python3-bokeh
Requires:	python3-contourpy
Requires:	python3-ujson
Requires:	python3-dask[distributed]
Requires:	python3-zarr

%description
## [Gallery](https://python.arviz.org/en/latest/examples/index.html)
<p>
<table>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_forest_ridge.html">
  <img alt="Ridge plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_forest_ridge.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_forest.html">
  <img alt="Forest Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_forest.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_violin.html">
  <img alt="Violin Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_violin.png" />
  </a>
  </td>
</tr>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_ppc.html">
  <img alt="Posterior predictive plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_ppc.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_dot.html">
  <img alt="Joint plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_dot.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_posterior.html">
  <img alt="Posterior plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_posterior.png" />
  </a>
  </td>
</tr>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_density.html">
  <img alt="Density plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_density.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_pair.html">
  <img alt="Pair plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_pair.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_pair_hex.html">
  <img alt="Hexbin Pair plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_pair_hex.png" />
  </a>
  </td>
</tr>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_trace.html">
  <img alt="Trace plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_trace.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_energy.html">
  <img alt="Energy Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_energy.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_rank.html">
  <img alt="Rank Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_rank.png" />
  </a>
  </td>
</tr>
</table>
## Dependencies
ArviZ is tested on Python 3.7, 3.8 and 3.9, and depends on NumPy, SciPy, xarray, and Matplotlib.
## Citation
If you use ArviZ and want to cite it please use [![DOI](http://joss.theoj.org/papers/10.21105/joss.01143/status.svg)](https://doi.org/10.21105/joss.01143)
Here is the citation in BibTeX format
```
@article{arviz_2019,
  doi = {10.21105/joss.01143},
  url = {https://doi.org/10.21105/joss.01143},
  year = {2019},
  publisher = {The Open Journal},
  volume = {4},
  number = {33},
  pages = {1143},
  author = {Ravin Kumar and Colin Carroll and Ari Hartikainen and Osvaldo Martin},
  title = {ArviZ a unified library for exploratory analysis of Bayesian models in Python},
  journal = {Journal of Open Source Software}
}
```
## Contributions
ArviZ is a community project and welcomes contributions.
Additional information can be found in the [Contributing Readme](https://github.com/arviz-devs/arviz/blob/main/CONTRIBUTING.md)
## Code of Conduct
ArviZ wishes to maintain a positive community. Additional details
can be found in the [Code of Conduct](https://github.com/arviz-devs/arviz/blob/main/CODE_OF_CONDUCT.md)
## Donations
ArviZ is a non-profit project under NumFOCUS umbrella. If you want to support ArviZ financially, you can donate [here](https://numfocus.org/donate-to-arviz).
## Sponsors
[![NumFOCUS](https://www.numfocus.org/wp-content/uploads/2017/07/NumFocus_LRG.png)](https://numfocus.org)

%package -n python3-arviz
Summary:	Exploratory analysis of Bayesian models
Provides:	python-arviz
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-arviz
## [Gallery](https://python.arviz.org/en/latest/examples/index.html)
<p>
<table>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_forest_ridge.html">
  <img alt="Ridge plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_forest_ridge.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_forest.html">
  <img alt="Forest Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_forest.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_violin.html">
  <img alt="Violin Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_violin.png" />
  </a>
  </td>
</tr>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_ppc.html">
  <img alt="Posterior predictive plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_ppc.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_dot.html">
  <img alt="Joint plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_dot.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_posterior.html">
  <img alt="Posterior plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_posterior.png" />
  </a>
  </td>
</tr>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_density.html">
  <img alt="Density plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_density.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_pair.html">
  <img alt="Pair plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_pair.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_pair_hex.html">
  <img alt="Hexbin Pair plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_pair_hex.png" />
  </a>
  </td>
</tr>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_trace.html">
  <img alt="Trace plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_trace.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_energy.html">
  <img alt="Energy Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_energy.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_rank.html">
  <img alt="Rank Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_rank.png" />
  </a>
  </td>
</tr>
</table>
## Dependencies
ArviZ is tested on Python 3.7, 3.8 and 3.9, and depends on NumPy, SciPy, xarray, and Matplotlib.
## Citation
If you use ArviZ and want to cite it please use [![DOI](http://joss.theoj.org/papers/10.21105/joss.01143/status.svg)](https://doi.org/10.21105/joss.01143)
Here is the citation in BibTeX format
```
@article{arviz_2019,
  doi = {10.21105/joss.01143},
  url = {https://doi.org/10.21105/joss.01143},
  year = {2019},
  publisher = {The Open Journal},
  volume = {4},
  number = {33},
  pages = {1143},
  author = {Ravin Kumar and Colin Carroll and Ari Hartikainen and Osvaldo Martin},
  title = {ArviZ a unified library for exploratory analysis of Bayesian models in Python},
  journal = {Journal of Open Source Software}
}
```
## Contributions
ArviZ is a community project and welcomes contributions.
Additional information can be found in the [Contributing Readme](https://github.com/arviz-devs/arviz/blob/main/CONTRIBUTING.md)
## Code of Conduct
ArviZ wishes to maintain a positive community. Additional details
can be found in the [Code of Conduct](https://github.com/arviz-devs/arviz/blob/main/CODE_OF_CONDUCT.md)
## Donations
ArviZ is a non-profit project under NumFOCUS umbrella. If you want to support ArviZ financially, you can donate [here](https://numfocus.org/donate-to-arviz).
## Sponsors
[![NumFOCUS](https://www.numfocus.org/wp-content/uploads/2017/07/NumFocus_LRG.png)](https://numfocus.org)

%package help
Summary:	Development documents and examples for arviz
Provides:	python3-arviz-doc
%description help
## [Gallery](https://python.arviz.org/en/latest/examples/index.html)
<p>
<table>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_forest_ridge.html">
  <img alt="Ridge plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_forest_ridge.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_forest.html">
  <img alt="Forest Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_forest.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_violin.html">
  <img alt="Violin Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_violin.png" />
  </a>
  </td>
</tr>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_ppc.html">
  <img alt="Posterior predictive plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_ppc.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_dot.html">
  <img alt="Joint plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_dot.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_posterior.html">
  <img alt="Posterior plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_posterior.png" />
  </a>
  </td>
</tr>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_density.html">
  <img alt="Density plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_density.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_pair.html">
  <img alt="Pair plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_pair.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_pair_hex.html">
  <img alt="Hexbin Pair plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_pair_hex.png" />
  </a>
  </td>
</tr>
<tr>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_trace.html">
  <img alt="Trace plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_trace.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_energy.html">
  <img alt="Energy Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_energy.png" />
  </a>
  </td>
  <td>
  <a href="https://python.arviz.org/en/latest/examples/plot_rank.html">
  <img alt="Rank Plot"
  src="https://raw.githubusercontent.com/arviz-devs/arviz/gh-pages/_images/mpl_plot_rank.png" />
  </a>
  </td>
</tr>
</table>
## Dependencies
ArviZ is tested on Python 3.7, 3.8 and 3.9, and depends on NumPy, SciPy, xarray, and Matplotlib.
## Citation
If you use ArviZ and want to cite it please use [![DOI](http://joss.theoj.org/papers/10.21105/joss.01143/status.svg)](https://doi.org/10.21105/joss.01143)
Here is the citation in BibTeX format
```
@article{arviz_2019,
  doi = {10.21105/joss.01143},
  url = {https://doi.org/10.21105/joss.01143},
  year = {2019},
  publisher = {The Open Journal},
  volume = {4},
  number = {33},
  pages = {1143},
  author = {Ravin Kumar and Colin Carroll and Ari Hartikainen and Osvaldo Martin},
  title = {ArviZ a unified library for exploratory analysis of Bayesian models in Python},
  journal = {Journal of Open Source Software}
}
```
## Contributions
ArviZ is a community project and welcomes contributions.
Additional information can be found in the [Contributing Readme](https://github.com/arviz-devs/arviz/blob/main/CONTRIBUTING.md)
## Code of Conduct
ArviZ wishes to maintain a positive community. Additional details
can be found in the [Code of Conduct](https://github.com/arviz-devs/arviz/blob/main/CODE_OF_CONDUCT.md)
## Donations
ArviZ is a non-profit project under NumFOCUS umbrella. If you want to support ArviZ financially, you can donate [here](https://numfocus.org/donate-to-arviz).
## Sponsors
[![NumFOCUS](https://www.numfocus.org/wp-content/uploads/2017/07/NumFocus_LRG.png)](https://numfocus.org)

%prep
%autosetup -n arviz-0.15.1

%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-arviz -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 0.15.1-1
- Package Spec generated