automatic import of python-vigorish

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diff --git a/.gitignore b/.gitignore
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+/vigorish-0.7.0.tar.gz
diff --git a/python-vigorish.spec b/python-vigorish.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-vigorish
+Version:	0.7.0
+Release:	1
+Summary:	Hybrid Python/Node.js web scraper for Major League Baseball (MLB) data.
+License:	MIT
+URL:		https://github.com/a-luna/vigorish
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/e3/05/82491ed935fdd412331e2e20ee5ca5ce4929c15e353c3f36e03b8189bb27/vigorish-0.7.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-aenum
+Requires:	python3-boto3
+Requires:	python3-bullet
+Requires:	python3-click
+Requires:	python3-dacite
+Requires:	python3-dataclass-csv
+Requires:	python3-enlighten
+Requires:	python3-events
+Requires:	python3-halo
+Requires:	python3-lxml
+Requires:	python3-naked
+Requires:	python3-py-getch
+Requires:	python3-pyfiglet
+Requires:	python3-dateutil
+Requires:	python3-dotenv
+Requires:	python3-rapidfuzz
+Requires:	python3-requests
+Requires:	python3-scipy
+Requires:	python3-sqlalchemy
+Requires:	python3-sqlalchemy-utils
+Requires:	python3-tabulate
+Requires:	python3-tqdm
+Requires:	python3-urllib3
+Requires:	python3-w3lib
+
+%description
+[![PyPI version](https://badge.fury.io/py/vigorish.svg)](https://badge.fury.io/py/vigorish) ![PyPI - Downloads](https://img.shields.io/pypi/dm/vigorish?color=%234DC71F) ![PyPI - License](https://img.shields.io/pypi/l/vigorish?color=%25234DC71F) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/vigorish) [![Maintainability](https://api.codeclimate.com/v1/badges/4a1753c77add039c3850/maintainability)](https://codeclimate.com/github/a-luna/vigorish/maintainability) [![codecov](https://codecov.io/gh/a-luna/vigorish/branch/master/graph/badge.svg)](https://codecov.io/gh/a-luna/vigorish)
+
+## vigorish
+
+`vigorish` is a hybrid Python/Node.js application that scrapes MLB data from mlb.com, brooksbaseball.net and baseball-reference.com.
+
+My goal is to capture as much data as possible — ranging from PitchFX measurements at the most granular level to play-by-play data (play descriptions, substitutions, manager challenges, etc) and individual player pitch/bat stats at the highest level.
+
+### Requirements
+
+-   Python 3.6+
+-   Node.js 10+ (Tested with Node.js 11-13)
+-   Xvfb
+-   AWS account (optional but recommended, used to store scraped data in S3)
+
+### Project Documentation
+
+For a step-by-step install guide and instructions for configuring/using `vigorish`, please visit the link below:
+
+[Vigorish: Hybrid Python/Node.Js Web Scraper](https://aaronluna.dev/projects/vigorish/)
+
+### Credits
+
+`vigorish` either relies on the following projects listed below directly or as a dev dependency. It would not have been possible for me to create `vigorish` without these projects, thanks to all of the creators/maintainers for making these available (projects are listed alphabetically):
+
+-   [aenum](https://github.com/ethanfurman/aenum)
+-   [bullet](https://github.com/bchao1/bullet)
+-   [click](https://github.com/pallets/click)
+-   [dacite](https://github.com/konradhalas/dacite)
+-   [dataclass-csv](https://github.com/dfurtado/dataclass-csv)
+-   [enlighten](https://github.com/Rockhopper-Technologies/enlighten)
+-   [events](https://github.com/pyeve/events)
+-   [halo](https://github.com/manrajgrover/halo)
+-   [lxml](https://github.com/lxml/lxml)
+-   [naked](https://github.com/chrissimpkins/naked)
+-   [rapidfuzz](https://github.com/maxbachmann/rapidfuzz)
+-   [tabulate](https://github.com/astanin/python-tabulate)
+
+
+
+%package -n python3-vigorish
+Summary:	Hybrid Python/Node.js web scraper for Major League Baseball (MLB) data.
+Provides:	python-vigorish
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-vigorish
+[![PyPI version](https://badge.fury.io/py/vigorish.svg)](https://badge.fury.io/py/vigorish) ![PyPI - Downloads](https://img.shields.io/pypi/dm/vigorish?color=%234DC71F) ![PyPI - License](https://img.shields.io/pypi/l/vigorish?color=%25234DC71F) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/vigorish) [![Maintainability](https://api.codeclimate.com/v1/badges/4a1753c77add039c3850/maintainability)](https://codeclimate.com/github/a-luna/vigorish/maintainability) [![codecov](https://codecov.io/gh/a-luna/vigorish/branch/master/graph/badge.svg)](https://codecov.io/gh/a-luna/vigorish)
+
+## vigorish
+
+`vigorish` is a hybrid Python/Node.js application that scrapes MLB data from mlb.com, brooksbaseball.net and baseball-reference.com.
+
+My goal is to capture as much data as possible — ranging from PitchFX measurements at the most granular level to play-by-play data (play descriptions, substitutions, manager challenges, etc) and individual player pitch/bat stats at the highest level.
+
+### Requirements
+
+-   Python 3.6+
+-   Node.js 10+ (Tested with Node.js 11-13)
+-   Xvfb
+-   AWS account (optional but recommended, used to store scraped data in S3)
+
+### Project Documentation
+
+For a step-by-step install guide and instructions for configuring/using `vigorish`, please visit the link below:
+
+[Vigorish: Hybrid Python/Node.Js Web Scraper](https://aaronluna.dev/projects/vigorish/)
+
+### Credits
+
+`vigorish` either relies on the following projects listed below directly or as a dev dependency. It would not have been possible for me to create `vigorish` without these projects, thanks to all of the creators/maintainers for making these available (projects are listed alphabetically):
+
+-   [aenum](https://github.com/ethanfurman/aenum)
+-   [bullet](https://github.com/bchao1/bullet)
+-   [click](https://github.com/pallets/click)
+-   [dacite](https://github.com/konradhalas/dacite)
+-   [dataclass-csv](https://github.com/dfurtado/dataclass-csv)
+-   [enlighten](https://github.com/Rockhopper-Technologies/enlighten)
+-   [events](https://github.com/pyeve/events)
+-   [halo](https://github.com/manrajgrover/halo)
+-   [lxml](https://github.com/lxml/lxml)
+-   [naked](https://github.com/chrissimpkins/naked)
+-   [rapidfuzz](https://github.com/maxbachmann/rapidfuzz)
+-   [tabulate](https://github.com/astanin/python-tabulate)
+
+
+
+%package help
+Summary:	Development documents and examples for vigorish
+Provides:	python3-vigorish-doc
+%description help
+[![PyPI version](https://badge.fury.io/py/vigorish.svg)](https://badge.fury.io/py/vigorish) ![PyPI - Downloads](https://img.shields.io/pypi/dm/vigorish?color=%234DC71F) ![PyPI - License](https://img.shields.io/pypi/l/vigorish?color=%25234DC71F) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/vigorish) [![Maintainability](https://api.codeclimate.com/v1/badges/4a1753c77add039c3850/maintainability)](https://codeclimate.com/github/a-luna/vigorish/maintainability) [![codecov](https://codecov.io/gh/a-luna/vigorish/branch/master/graph/badge.svg)](https://codecov.io/gh/a-luna/vigorish)
+
+## vigorish
+
+`vigorish` is a hybrid Python/Node.js application that scrapes MLB data from mlb.com, brooksbaseball.net and baseball-reference.com.
+
+My goal is to capture as much data as possible — ranging from PitchFX measurements at the most granular level to play-by-play data (play descriptions, substitutions, manager challenges, etc) and individual player pitch/bat stats at the highest level.
+
+### Requirements
+
+-   Python 3.6+
+-   Node.js 10+ (Tested with Node.js 11-13)
+-   Xvfb
+-   AWS account (optional but recommended, used to store scraped data in S3)
+
+### Project Documentation
+
+For a step-by-step install guide and instructions for configuring/using `vigorish`, please visit the link below:
+
+[Vigorish: Hybrid Python/Node.Js Web Scraper](https://aaronluna.dev/projects/vigorish/)
+
+### Credits
+
+`vigorish` either relies on the following projects listed below directly or as a dev dependency. It would not have been possible for me to create `vigorish` without these projects, thanks to all of the creators/maintainers for making these available (projects are listed alphabetically):
+
+-   [aenum](https://github.com/ethanfurman/aenum)
+-   [bullet](https://github.com/bchao1/bullet)
+-   [click](https://github.com/pallets/click)
+-   [dacite](https://github.com/konradhalas/dacite)
+-   [dataclass-csv](https://github.com/dfurtado/dataclass-csv)
+-   [enlighten](https://github.com/Rockhopper-Technologies/enlighten)
+-   [events](https://github.com/pyeve/events)
+-   [halo](https://github.com/manrajgrover/halo)
+-   [lxml](https://github.com/lxml/lxml)
+-   [naked](https://github.com/chrissimpkins/naked)
+-   [rapidfuzz](https://github.com/maxbachmann/rapidfuzz)
+-   [tabulate](https://github.com/astanin/python-tabulate)
+
+
+
+%prep
+%autosetup -n vigorish-0.7.0
+
+%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-vigorish -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..3d2d325
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+407b53314f558a2ed097c60b972ef088  vigorish-0.7.0.tar.gz