%global _empty_manifest_terminate_build 0
Name:		python-sparkpickle
Version:	1.0.1
Release:	1
Summary:	Provides functions for reading SequenceFile-s with Python pickles.
License:	Apache 2.0
URL:		https://github.com/src-d/sparkpickle
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/2e/3d/f2af239ad6f9a1e0c851a105b663642fcbf11718aba1e014fc43d3382029/sparkpickle-1.0.1.tar.gz
BuildArch:	noarch


%description
Pure Python implementation of reading SequenceFile-s with pickles written by
Spark's [saveAsPickleFile()](http://spark.apache.org/docs/latest/api/python/pyspark.html#pyspark.RDD.saveAsPickleFile).
This is needed if you store the results from Spark in the efficient binary pickle
format and want to load them locally on your computer, without any Spark installation,
given only the actual files.
[Article about creating this project.](https://blog.sourced.tech/post/reading_pyspark_pickles_locally)

%package -n python3-sparkpickle
Summary:	Provides functions for reading SequenceFile-s with Python pickles.
Provides:	python-sparkpickle
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-sparkpickle
Pure Python implementation of reading SequenceFile-s with pickles written by
Spark's [saveAsPickleFile()](http://spark.apache.org/docs/latest/api/python/pyspark.html#pyspark.RDD.saveAsPickleFile).
This is needed if you store the results from Spark in the efficient binary pickle
format and want to load them locally on your computer, without any Spark installation,
given only the actual files.
[Article about creating this project.](https://blog.sourced.tech/post/reading_pyspark_pickles_locally)

%package help
Summary:	Development documents and examples for sparkpickle
Provides:	python3-sparkpickle-doc
%description help
Pure Python implementation of reading SequenceFile-s with pickles written by
Spark's [saveAsPickleFile()](http://spark.apache.org/docs/latest/api/python/pyspark.html#pyspark.RDD.saveAsPickleFile).
This is needed if you store the results from Spark in the efficient binary pickle
format and want to load them locally on your computer, without any Spark installation,
given only the actual files.
[Article about creating this project.](https://blog.sourced.tech/post/reading_pyspark_pickles_locally)

%prep
%autosetup -n sparkpickle-1.0.1

%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-sparkpickle -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.1-1
- Package Spec generated