automatic import of python-sportsdataverse

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+%global _empty_manifest_terminate_build 0
+Name:		python-sportsdataverse
+Version:	0.0.36
+Release:	1
+Summary:	Retrieve Sports data in Python
+License:	MIT
+URL:		https://github.com/sportsdataverse/sportsdataverse-py
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/89/04/fd29099fa1ebfdf4856c5ec2cfec001217b396337716753c11bdd23480ac/sportsdataverse-0.0.36.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-tqdm
+Requires:	python3-beautifulsoup4
+Requires:	python3-inflection
+Requires:	python3-requests
+Requires:	python3-lxml
+Requires:	python3-pyarrow
+Requires:	python3-pyjanitor
+Requires:	python3-pyreadr
+Requires:	python3-scipy
+Requires:	python3-matplotlib
+Requires:	python3-attrs
+Requires:	python3-xgboost
+Requires:	python3-pytest
+Requires:	python3-mypy
+Requires:	python3-pytest-cov
+Requires:	python3-pytest-xdist
+Requires:	python3-sphinx
+Requires:	python3-beautifulsoup4
+Requires:	python3-inflection
+Requires:	python3-requests
+Requires:	python3-lxml
+Requires:	python3-pyarrow
+Requires:	python3-pyjanitor
+Requires:	python3-pyreadr
+Requires:	python3-scipy
+Requires:	python3-matplotlib
+Requires:	python3-tqdm
+Requires:	python3-attrs
+Requires:	python3-xgboost
+Requires:	python3-sphinx
+Requires:	python3-beautifulsoup4
+Requires:	python3-inflection
+Requires:	python3-requests
+Requires:	python3-lxml
+Requires:	python3-pyarrow
+Requires:	python3-pyjanitor
+Requires:	python3-pyreadr
+Requires:	python3-scipy
+Requires:	python3-matplotlib
+Requires:	python3-tqdm
+Requires:	python3-attrs
+Requires:	python3-xgboost
+Requires:	python3-pytest
+Requires:	python3-mypy
+Requires:	python3-pytest-cov
+Requires:	python3-pytest-xdist
+
+%description
+# sportsdataverse-py <a href='https://py.sportsdataverse.org'><img src='https://raw.githubusercontent.com/sportsdataverse/sportsdataverse-py/master/sdv-py-logo.png' align="right"  width="20%" min-width="100px" /></a>
+<!-- badges: start -->
+
+![Lifecycle:experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg?style=for-the-badge&logo=github)
+[![PyPI](https://img.shields.io/pypi/v/sportsdataverse?label=sportsdataverse&logo=python&style=for-the-badge)](https://pypi.org/project/sportsdataverse/)
+![Contributors](https://img.shields.io/github/contributors/sportsdataverse/sportsdataverse-py?style=for-the-badge)
+[![Twitter
+Follow](https://img.shields.io/twitter/follow/sportsdataverse?color=blue&label=%40sportsdataverse&logo=twitter&style=for-the-badge)](https://twitter.com/sportsdataverse)
+
+<!-- badges: end -->
+
+
+See [CHANGELOG.md](https://py.sportsdataverse.org/CHANGELOG) for details.
+
+The goal of [sportsdataverse-py](https://py.sportsdataverse.org) is to provide the community with a python package for working with sports data as a companion to the [cfbfastR](https://cfbfastR.sportsdataverse.org/), [hoopR](https://hoopR.sportsdataverse.org/), and [wehoop](https://wehoop.sportsdataverse.org/) R packages. Beyond data aggregation and tidying ease, one of the multitude of services that [sportsdataverse-py](https://py.sportsdataverse.org) provides is for benchmarking open-source expected points and win probability metrics for American Football.
+
+## Installation
+
+sportsdataverse-py can be installed via pip:
+
+```bash
+pip install sportsdataverse
+
+# with full dependencies
+pip install sportsdataverse[all]
+```
+
+or from the repo (which may at times be more up to date):
+
+```bash
+git clone https://github.com/sportsdataverse/sportsdataverse-py
+cd sportsdataverse-py
+pip install -e .[all]
+```
+
+# **Our Authors**
+
+-   [Saiem Gilani](https://twitter.com/saiemgilani)
+<a href="https://twitter.com/saiemgilani" target="blank"><img src="https://img.shields.io/twitter/follow/saiemgilani?color=blue&label=%40saiemgilani&logo=twitter&style=for-the-badge" alt="@saiemgilani" /></a>
+<a href="https://github.com/saiemgilani" target="blank"><img src="https://img.shields.io/github/followers/saiemgilani?color=eee&logo=Github&style=for-the-badge" alt="@saiemgilani" /></a>
+
+
+## **Citations**
+
+To cite the [**`sportsdataverse-py`**](https://py.sportsdataverse.org) Python package in publications, use:
+
+BibTex Citation
+```bibtex
+@misc{gilani_sdvpy_2021,
+  author = {Gilani, Saiem},
+  title = {sportsdataverse-py: The SportsDataverse's Python Package for Sports Data.},
+  url = {https://py.sportsdataverse.org},
+  season = {2021}
+}
+```
+
+
+%package -n python3-sportsdataverse
+Summary:	Retrieve Sports data in Python
+Provides:	python-sportsdataverse
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-sportsdataverse
+# sportsdataverse-py <a href='https://py.sportsdataverse.org'><img src='https://raw.githubusercontent.com/sportsdataverse/sportsdataverse-py/master/sdv-py-logo.png' align="right"  width="20%" min-width="100px" /></a>
+<!-- badges: start -->
+
+![Lifecycle:experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg?style=for-the-badge&logo=github)
+[![PyPI](https://img.shields.io/pypi/v/sportsdataverse?label=sportsdataverse&logo=python&style=for-the-badge)](https://pypi.org/project/sportsdataverse/)
+![Contributors](https://img.shields.io/github/contributors/sportsdataverse/sportsdataverse-py?style=for-the-badge)
+[![Twitter
+Follow](https://img.shields.io/twitter/follow/sportsdataverse?color=blue&label=%40sportsdataverse&logo=twitter&style=for-the-badge)](https://twitter.com/sportsdataverse)
+
+<!-- badges: end -->
+
+
+See [CHANGELOG.md](https://py.sportsdataverse.org/CHANGELOG) for details.
+
+The goal of [sportsdataverse-py](https://py.sportsdataverse.org) is to provide the community with a python package for working with sports data as a companion to the [cfbfastR](https://cfbfastR.sportsdataverse.org/), [hoopR](https://hoopR.sportsdataverse.org/), and [wehoop](https://wehoop.sportsdataverse.org/) R packages. Beyond data aggregation and tidying ease, one of the multitude of services that [sportsdataverse-py](https://py.sportsdataverse.org) provides is for benchmarking open-source expected points and win probability metrics for American Football.
+
+## Installation
+
+sportsdataverse-py can be installed via pip:
+
+```bash
+pip install sportsdataverse
+
+# with full dependencies
+pip install sportsdataverse[all]
+```
+
+or from the repo (which may at times be more up to date):
+
+```bash
+git clone https://github.com/sportsdataverse/sportsdataverse-py
+cd sportsdataverse-py
+pip install -e .[all]
+```
+
+# **Our Authors**
+
+-   [Saiem Gilani](https://twitter.com/saiemgilani)
+<a href="https://twitter.com/saiemgilani" target="blank"><img src="https://img.shields.io/twitter/follow/saiemgilani?color=blue&label=%40saiemgilani&logo=twitter&style=for-the-badge" alt="@saiemgilani" /></a>
+<a href="https://github.com/saiemgilani" target="blank"><img src="https://img.shields.io/github/followers/saiemgilani?color=eee&logo=Github&style=for-the-badge" alt="@saiemgilani" /></a>
+
+
+## **Citations**
+
+To cite the [**`sportsdataverse-py`**](https://py.sportsdataverse.org) Python package in publications, use:
+
+BibTex Citation
+```bibtex
+@misc{gilani_sdvpy_2021,
+  author = {Gilani, Saiem},
+  title = {sportsdataverse-py: The SportsDataverse's Python Package for Sports Data.},
+  url = {https://py.sportsdataverse.org},
+  season = {2021}
+}
+```
+
+
+%package help
+Summary:	Development documents and examples for sportsdataverse
+Provides:	python3-sportsdataverse-doc
+%description help
+# sportsdataverse-py <a href='https://py.sportsdataverse.org'><img src='https://raw.githubusercontent.com/sportsdataverse/sportsdataverse-py/master/sdv-py-logo.png' align="right"  width="20%" min-width="100px" /></a>
+<!-- badges: start -->
+
+![Lifecycle:experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg?style=for-the-badge&logo=github)
+[![PyPI](https://img.shields.io/pypi/v/sportsdataverse?label=sportsdataverse&logo=python&style=for-the-badge)](https://pypi.org/project/sportsdataverse/)
+![Contributors](https://img.shields.io/github/contributors/sportsdataverse/sportsdataverse-py?style=for-the-badge)
+[![Twitter
+Follow](https://img.shields.io/twitter/follow/sportsdataverse?color=blue&label=%40sportsdataverse&logo=twitter&style=for-the-badge)](https://twitter.com/sportsdataverse)
+
+<!-- badges: end -->
+
+
+See [CHANGELOG.md](https://py.sportsdataverse.org/CHANGELOG) for details.
+
+The goal of [sportsdataverse-py](https://py.sportsdataverse.org) is to provide the community with a python package for working with sports data as a companion to the [cfbfastR](https://cfbfastR.sportsdataverse.org/), [hoopR](https://hoopR.sportsdataverse.org/), and [wehoop](https://wehoop.sportsdataverse.org/) R packages. Beyond data aggregation and tidying ease, one of the multitude of services that [sportsdataverse-py](https://py.sportsdataverse.org) provides is for benchmarking open-source expected points and win probability metrics for American Football.
+
+## Installation
+
+sportsdataverse-py can be installed via pip:
+
+```bash
+pip install sportsdataverse
+
+# with full dependencies
+pip install sportsdataverse[all]
+```
+
+or from the repo (which may at times be more up to date):
+
+```bash
+git clone https://github.com/sportsdataverse/sportsdataverse-py
+cd sportsdataverse-py
+pip install -e .[all]
+```
+
+# **Our Authors**
+
+-   [Saiem Gilani](https://twitter.com/saiemgilani)
+<a href="https://twitter.com/saiemgilani" target="blank"><img src="https://img.shields.io/twitter/follow/saiemgilani?color=blue&label=%40saiemgilani&logo=twitter&style=for-the-badge" alt="@saiemgilani" /></a>
+<a href="https://github.com/saiemgilani" target="blank"><img src="https://img.shields.io/github/followers/saiemgilani?color=eee&logo=Github&style=for-the-badge" alt="@saiemgilani" /></a>
+
+
+## **Citations**
+
+To cite the [**`sportsdataverse-py`**](https://py.sportsdataverse.org) Python package in publications, use:
+
+BibTex Citation
+```bibtex
+@misc{gilani_sdvpy_2021,
+  author = {Gilani, Saiem},
+  title = {sportsdataverse-py: The SportsDataverse's Python Package for Sports Data.},
+  url = {https://py.sportsdataverse.org},
+  season = {2021}
+}
+```
+
+
+%prep
+%autosetup -n sportsdataverse-0.0.36
+
+%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-sportsdataverse -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.36-1
+- Package Spec generated