%global _empty_manifest_terminate_build 0
Name:		python-rake-nltk
Version:	1.0.6
Release:	1
Summary:	RAKE short for Rapid Automatic Keyword Extraction algorithm, is a domain independent keyword extraction algorithm which tries to determine key phrases in a body of text by analyzing the frequency of word appearance and its co-occurance with other words in the text.
License:	MIT
URL:		https://csurfer.github.io/rake-nltk
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/da/b1/53392b9ba76fdb1e9de3198f63eb1cb92529c80201e0709162d140134b30/rake-nltk-1.0.6.tar.gz
BuildArch:	noarch

Requires:	python3-nltk

%description
|pypiv| |pyv| |Licence| |Build Status| |Coverage Status|
RAKE short for Rapid Automatic Keyword Extraction algorithm, is a domain
independent keyword extraction algorithm which tries to determine key
phrases in a body of text by analyzing the frequency of word appearance
and its co-occurance with other words in the text.
|Demo|

%package -n python3-rake-nltk
Summary:	RAKE short for Rapid Automatic Keyword Extraction algorithm, is a domain independent keyword extraction algorithm which tries to determine key phrases in a body of text by analyzing the frequency of word appearance and its co-occurance with other words in the text.
Provides:	python-rake-nltk
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-rake-nltk
|pypiv| |pyv| |Licence| |Build Status| |Coverage Status|
RAKE short for Rapid Automatic Keyword Extraction algorithm, is a domain
independent keyword extraction algorithm which tries to determine key
phrases in a body of text by analyzing the frequency of word appearance
and its co-occurance with other words in the text.
|Demo|

%package help
Summary:	Development documents and examples for rake-nltk
Provides:	python3-rake-nltk-doc
%description help
|pypiv| |pyv| |Licence| |Build Status| |Coverage Status|
RAKE short for Rapid Automatic Keyword Extraction algorithm, is a domain
independent keyword extraction algorithm which tries to determine key
phrases in a body of text by analyzing the frequency of word appearance
and its co-occurance with other words in the text.
|Demo|

%prep
%autosetup -n rake-nltk-1.0.6

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

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

%changelog
* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.6-1
- Package Spec generated