%global _empty_manifest_terminate_build 0
Name:		python-fastparquet
Version:	2023.2.0
Release:	1
Summary:	Python support for Parquet file format
License:	Apache License 2.0
URL:		https://github.com/dask/fastparquet/
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/7e/5d/c58795e5550231ce84b39fec783e3f4836082f0162e2436227832716ee02/fastparquet-2023.2.0.tar.gz


%description
fastparquet is a python implementation of the `parquet
format <https://github.com/apache/parquet-format>`_, aiming integrate
into python-based big data work-flows. It is used implicitly by
the projects Dask, Pandas and intake-parquet.
We offer a high degree of support for the features of the parquet format, and
very competitive performance, in a small install size and codebase.
Details of this project, how to use it and comparisons to other work can be found in the documentation_.

%package -n python3-fastparquet
Summary:	Python support for Parquet file format
Provides:	python-fastparquet
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
BuildRequires:	python3-cffi
BuildRequires:	gcc
BuildRequires:	gdb
%description -n python3-fastparquet
fastparquet is a python implementation of the `parquet
format <https://github.com/apache/parquet-format>`_, aiming integrate
into python-based big data work-flows. It is used implicitly by
the projects Dask, Pandas and intake-parquet.
We offer a high degree of support for the features of the parquet format, and
very competitive performance, in a small install size and codebase.
Details of this project, how to use it and comparisons to other work can be found in the documentation_.

%package help
Summary:	Development documents and examples for fastparquet
Provides:	python3-fastparquet-doc
%description help
fastparquet is a python implementation of the `parquet
format <https://github.com/apache/parquet-format>`_, aiming integrate
into python-based big data work-flows. It is used implicitly by
the projects Dask, Pandas and intake-parquet.
We offer a high degree of support for the features of the parquet format, and
very competitive performance, in a small install size and codebase.
Details of this project, how to use it and comparisons to other work can be found in the documentation_.

%prep
%autosetup -n fastparquet-2023.2.0

%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-fastparquet -f filelist.lst
%dir %{python3_sitearch}/*

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

%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2023.2.0-1
- Package Spec generated