From ae826134a1f0edbdd546f60514bea9fe8bdbf2f5 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Wed, 31 May 2023 06:38:57 +0000 Subject: automatic import of python-sportsdataverse --- .gitignore | 1 + python-sportsdataverse.spec | 285 ++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 287 insertions(+) create mode 100644 python-sportsdataverse.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..892d324 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/sportsdataverse-0.0.36.tar.gz diff --git a/python-sportsdataverse.spec b/python-sportsdataverse.spec new file mode 100644 index 0000000..ba0adf1 --- /dev/null +++ b/python-sportsdataverse.spec @@ -0,0 +1,285 @@ +%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 + + +![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) + + + + +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) +@saiemgilani +@saiemgilani + + +## **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 + + +![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) + + + + +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) +@saiemgilani +@saiemgilani + + +## **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 + + +![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) + + + + +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) +@saiemgilani +@saiemgilani + + +## **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 - 0.0.36-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..b3f07ba --- /dev/null +++ b/sources @@ -0,0 +1 @@ +c033a65f30166e6fc19ce5c6d53fe702 sportsdataverse-0.0.36.tar.gz -- cgit v1.2.3