%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