automatic import of python-wordsegment

3 files changed, 101 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/wordsegment-1.3.1.tar.gz
diff --git a/python-wordsegment.spec b/python-wordsegment.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-wordsegment
+Version:	1.3.1
+Release:	1
+Summary:	English word segmentation.
+License:	Apache 2.0
+URL:		http://www.grantjenks.com/docs/wordsegment/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/64/68/08112f4c2888f41520e54e2d0b22dcec5adb28cddf4eeca344eb9da04177/wordsegment-1.3.1.tar.gz
+BuildArch:	noarch
+
+
+%description
+`WordSegment`_ is an Apache2 licensed module for English word
+segmentation, written in pure-Python, and based on a trillion-word corpus.
+Based on code from the chapter "`Natural Language Corpus Data`_" by Peter
+Norvig from the book "`Beautiful Data`_" (Segaran and Hammerbacher, 2009).
+Data files are derived from the `Google Web Trillion Word Corpus`_, as
+described by Thorsten Brants and Alex Franz, and `distributed`_ by the
+Linguistic Data Consortium. This module contains only a subset of that
+data. The unigram data includes only the most common 333,000 words. Similarly,
+bigram data includes only the most common 250,000 phrases. Every word and
+phrase is lowercased with punctuation removed.
+
+%package -n python3-wordsegment
+Summary:	English word segmentation.
+Provides:	python-wordsegment
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-wordsegment
+`WordSegment`_ is an Apache2 licensed module for English word
+segmentation, written in pure-Python, and based on a trillion-word corpus.
+Based on code from the chapter "`Natural Language Corpus Data`_" by Peter
+Norvig from the book "`Beautiful Data`_" (Segaran and Hammerbacher, 2009).
+Data files are derived from the `Google Web Trillion Word Corpus`_, as
+described by Thorsten Brants and Alex Franz, and `distributed`_ by the
+Linguistic Data Consortium. This module contains only a subset of that
+data. The unigram data includes only the most common 333,000 words. Similarly,
+bigram data includes only the most common 250,000 phrases. Every word and
+phrase is lowercased with punctuation removed.
+
+%package help
+Summary:	Development documents and examples for wordsegment
+Provides:	python3-wordsegment-doc
+%description help
+`WordSegment`_ is an Apache2 licensed module for English word
+segmentation, written in pure-Python, and based on a trillion-word corpus.
+Based on code from the chapter "`Natural Language Corpus Data`_" by Peter
+Norvig from the book "`Beautiful Data`_" (Segaran and Hammerbacher, 2009).
+Data files are derived from the `Google Web Trillion Word Corpus`_, as
+described by Thorsten Brants and Alex Franz, and `distributed`_ by the
+Linguistic Data Consortium. This module contains only a subset of that
+data. The unigram data includes only the most common 333,000 words. Similarly,
+bigram data includes only the most common 250,000 phrases. Every word and
+phrase is lowercased with punctuation removed.
+
+%prep
+%autosetup -n wordsegment-1.3.1
+
+%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-wordsegment -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
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--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+b41acd915506bfd0e2055c71c6ab3eb3  wordsegment-1.3.1.tar.gz