automatic import of python-orange-textable

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diff --git a/.gitignore b/.gitignore
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+/Orange-Textable-2.0.1.tar.gz
diff --git a/python-orange-textable.spec b/python-orange-textable.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-Orange-Textable
+Version:	2.0.1
+Release:	1
+Summary:	Textable add-on for Orange 2.7 data mining software package.
+License:	GPLv3
+URL:		http://langtech.ch/textable
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/a9/2f/d63f34a4156106d58bbb3f3437ba50ba3517cfc202e8d1f9fec4fcac37f3/Orange-Textable-2.0.1.tar.gz
+BuildArch:	noarch
+
+
+%description
+Orange Textable is an open-source add-on bringing advanced text-analytical
+functionalities to the `Orange Canvas <http://orange.biolab.si/>`_ data mining
+software package (itself open-source). It essentially enables users to build
+data tables on the basis of text data, by means of a flexible and intuitive
+interface. Look at the following `example
+<http://orange-textable.readthedocs.org/en/latest/illustration.html>`_ to see
+it in typical action.
+Orange Textable offers in particular the following features:
+* text data import from keyboard, files, or urls
+* support for various encodings, including Unicode
+* standard preprocessing and custom recoding (based on regular expressions)
+* segmentation and annotation of various text units (letters, words, etc.)
+* ability to extract and exploit XML-encoded annotations
+* automatic, random, or arbitrary selection of unit subsets
+* unit context examination using concordance and collocation tables
+* calculation of frequency and complexity measures
+* recoded text data and table export
+The project's homepage is http://langtech.ch/textable
+Documentation is hosted at: http://orange-textable.readthedocs.org/
+Orange Textable was designed and implemented by `LangTech Sarl
+<http://langtech.ch>`_ on behalf of the `department of language and
+information sciences (SLI) <http://www.unil.ch/sli>`_ at the `University of
+Lausanne <http://www.unil.ch>`_ (see `Credits
+<http://orange-textable.readthedocs.io/en/latest/credits.html>`_ and
+`How to cite Orange Textable
+<http://orange-textable.readthedocs.io/en/latest/credits.html>`_).
+
+%package -n python3-Orange-Textable
+Summary:	Textable add-on for Orange 2.7 data mining software package.
+Provides:	python-Orange-Textable
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-Orange-Textable
+Orange Textable is an open-source add-on bringing advanced text-analytical
+functionalities to the `Orange Canvas <http://orange.biolab.si/>`_ data mining
+software package (itself open-source). It essentially enables users to build
+data tables on the basis of text data, by means of a flexible and intuitive
+interface. Look at the following `example
+<http://orange-textable.readthedocs.org/en/latest/illustration.html>`_ to see
+it in typical action.
+Orange Textable offers in particular the following features:
+* text data import from keyboard, files, or urls
+* support for various encodings, including Unicode
+* standard preprocessing and custom recoding (based on regular expressions)
+* segmentation and annotation of various text units (letters, words, etc.)
+* ability to extract and exploit XML-encoded annotations
+* automatic, random, or arbitrary selection of unit subsets
+* unit context examination using concordance and collocation tables
+* calculation of frequency and complexity measures
+* recoded text data and table export
+The project's homepage is http://langtech.ch/textable
+Documentation is hosted at: http://orange-textable.readthedocs.org/
+Orange Textable was designed and implemented by `LangTech Sarl
+<http://langtech.ch>`_ on behalf of the `department of language and
+information sciences (SLI) <http://www.unil.ch/sli>`_ at the `University of
+Lausanne <http://www.unil.ch>`_ (see `Credits
+<http://orange-textable.readthedocs.io/en/latest/credits.html>`_ and
+`How to cite Orange Textable
+<http://orange-textable.readthedocs.io/en/latest/credits.html>`_).
+
+%package help
+Summary:	Development documents and examples for Orange-Textable
+Provides:	python3-Orange-Textable-doc
+%description help
+Orange Textable is an open-source add-on bringing advanced text-analytical
+functionalities to the `Orange Canvas <http://orange.biolab.si/>`_ data mining
+software package (itself open-source). It essentially enables users to build
+data tables on the basis of text data, by means of a flexible and intuitive
+interface. Look at the following `example
+<http://orange-textable.readthedocs.org/en/latest/illustration.html>`_ to see
+it in typical action.
+Orange Textable offers in particular the following features:
+* text data import from keyboard, files, or urls
+* support for various encodings, including Unicode
+* standard preprocessing and custom recoding (based on regular expressions)
+* segmentation and annotation of various text units (letters, words, etc.)
+* ability to extract and exploit XML-encoded annotations
+* automatic, random, or arbitrary selection of unit subsets
+* unit context examination using concordance and collocation tables
+* calculation of frequency and complexity measures
+* recoded text data and table export
+The project's homepage is http://langtech.ch/textable
+Documentation is hosted at: http://orange-textable.readthedocs.org/
+Orange Textable was designed and implemented by `LangTech Sarl
+<http://langtech.ch>`_ on behalf of the `department of language and
+information sciences (SLI) <http://www.unil.ch/sli>`_ at the `University of
+Lausanne <http://www.unil.ch>`_ (see `Credits
+<http://orange-textable.readthedocs.io/en/latest/credits.html>`_ and
+`How to cite Orange Textable
+<http://orange-textable.readthedocs.io/en/latest/credits.html>`_).
+
+%prep
+%autosetup -n Orange-Textable-2.0.1
+
+%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-Orange-Textable -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..dc19a15
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+ce3abeacf741933dc1b377283236f42e  Orange-Textable-2.0.1.tar.gz