%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)
## 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 [](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
[](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)
## 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 [](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
[](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)
## 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 [](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
[](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 - 0.15.1-1
- Package Spec generated