%global _empty_manifest_terminate_build 0
Name:		python-streamcorpus_pipeline
Version:	0.7.21
Release:	1
Summary:	Tools for building streamcorpus objects, such as those used in TREC.
License:	MIT/X11 license http://opensource.org/licenses/MIT
URL:		http://github.com/trec-kba/streamcorpus-pipeline
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/c4/4a/5d99efe84c4fd702db21044cf76d15149eb997aad0610d637de1e9ff6528/streamcorpus_pipeline-0.7.21.tar.gz
BuildArch:	noarch


%description
streamcorpus_pipeline is a document processing pipeline that assembles
streamcorpus objects from raw data sets.
The streamcorpus_pipeline python module contains tools for processing
streamcorpus.StreamItem objects stored in Chunks.  It includes
transform functions for getting clean_html, clean_visible, creating
labels from hyperlinks to particular sites (e.g. Wikipedia), and
taggers like LingPipe, Serif, and Factorie, which make Tokens and
Sentences.
Read more at [streamcorpus.org](http://streamcorpus.org/)

%package -n python3-streamcorpus_pipeline
Summary:	Tools for building streamcorpus objects, such as those used in TREC.
Provides:	python-streamcorpus_pipeline
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-streamcorpus_pipeline
streamcorpus_pipeline is a document processing pipeline that assembles
streamcorpus objects from raw data sets.
The streamcorpus_pipeline python module contains tools for processing
streamcorpus.StreamItem objects stored in Chunks.  It includes
transform functions for getting clean_html, clean_visible, creating
labels from hyperlinks to particular sites (e.g. Wikipedia), and
taggers like LingPipe, Serif, and Factorie, which make Tokens and
Sentences.
Read more at [streamcorpus.org](http://streamcorpus.org/)

%package help
Summary:	Development documents and examples for streamcorpus_pipeline
Provides:	python3-streamcorpus_pipeline-doc
%description help
streamcorpus_pipeline is a document processing pipeline that assembles
streamcorpus objects from raw data sets.
The streamcorpus_pipeline python module contains tools for processing
streamcorpus.StreamItem objects stored in Chunks.  It includes
transform functions for getting clean_html, clean_visible, creating
labels from hyperlinks to particular sites (e.g. Wikipedia), and
taggers like LingPipe, Serif, and Factorie, which make Tokens and
Sentences.
Read more at [streamcorpus.org](http://streamcorpus.org/)

%prep
%autosetup -n streamcorpus_pipeline-0.7.21

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

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

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.21-1
- Package Spec generated