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@@ -0,0 +1 @@ +/Orange-Textable-2.0.1.tar.gz diff --git a/python-orange-textable.spec b/python-orange-textable.spec new file mode 100644 index 0000000..937d4b2 --- /dev/null +++ b/python-orange-textable.spec @@ -0,0 +1,147 @@ +%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 @@ -0,0 +1 @@ +ce3abeacf741933dc1b377283236f42e Orange-Textable-2.0.1.tar.gz |