%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 `_ 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 `_ 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 `_ on behalf of the `department of language and information sciences (SLI) `_ at the `University of Lausanne `_ (see `Credits `_ and `How to cite Orange Textable `_). %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 `_ 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 `_ 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 `_ on behalf of the `department of language and information sciences (SLI) `_ at the `University of Lausanne `_ (see `Credits `_ and `How to cite Orange Textable `_). %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 `_ 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 `_ 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 `_ on behalf of the `department of language and information sciences (SLI) `_ at the `University of Lausanne `_ (see `Credits `_ and `How to cite Orange Textable `_). %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 * Tue May 30 2023 Python_Bot - 2.0.1-1 - Package Spec generated