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| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-text-models.spec | 114 | ||||
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@@ -0,0 +1 @@ +/text_models-1.0.7.tar.gz diff --git a/python-text-models.spec b/python-text-models.spec new file mode 100644 index 0000000..36c81b3 --- /dev/null +++ b/python-text-models.spec @@ -0,0 +1,114 @@ +%global _empty_manifest_terminate_build 0 +Name: python-text-models +Version: 1.0.7 +Release: 1 +Summary: Text Models +License: Apache Software License +URL: https://github.com/ingeotec/text_models +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/dd/5e/9e5ac47fa08dc35c89cdec05474a33c3b9cffd1b825814c4ef7d070603a2/text_models-1.0.7.tar.gz +BuildArch: noarch + + +%description +Twitter is perhaps the social media more amenable for research. +It requires only a few steps to obtain information, and there are +plenty of libraries that can help in this regard. Nonetheless, +knowing whether a particular event is expressed on Twitter is a +challenging task that requires a considerable collection of tweets. +This library aims to facilitate, to a researcher interested, the process +of mining events on Twitter by opening a collection of processed +information taken from Twitter since December 2015. The events could be +related to natural disasters, health issues, and people's mobility, +among other studies that can be pursued with the library proposed. +In summary, the Python library retrieves a plethora of information in +terms of frequencies by day of words and bi-grams of words for Arabic, +English, Spanish, and Russian languages. As well as mobility information +related to the number of travels among locations for more than 200 countries or territories. +The documentation is on `readthedocs <https://text_models.readthedocs.io>`_. + +%package -n python3-text-models +Summary: Text Models +Provides: python-text-models +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-text-models +Twitter is perhaps the social media more amenable for research. +It requires only a few steps to obtain information, and there are +plenty of libraries that can help in this regard. Nonetheless, +knowing whether a particular event is expressed on Twitter is a +challenging task that requires a considerable collection of tweets. +This library aims to facilitate, to a researcher interested, the process +of mining events on Twitter by opening a collection of processed +information taken from Twitter since December 2015. The events could be +related to natural disasters, health issues, and people's mobility, +among other studies that can be pursued with the library proposed. +In summary, the Python library retrieves a plethora of information in +terms of frequencies by day of words and bi-grams of words for Arabic, +English, Spanish, and Russian languages. As well as mobility information +related to the number of travels among locations for more than 200 countries or territories. +The documentation is on `readthedocs <https://text_models.readthedocs.io>`_. + +%package help +Summary: Development documents and examples for text-models +Provides: python3-text-models-doc +%description help +Twitter is perhaps the social media more amenable for research. +It requires only a few steps to obtain information, and there are +plenty of libraries that can help in this regard. Nonetheless, +knowing whether a particular event is expressed on Twitter is a +challenging task that requires a considerable collection of tweets. +This library aims to facilitate, to a researcher interested, the process +of mining events on Twitter by opening a collection of processed +information taken from Twitter since December 2015. The events could be +related to natural disasters, health issues, and people's mobility, +among other studies that can be pursued with the library proposed. +In summary, the Python library retrieves a plethora of information in +terms of frequencies by day of words and bi-grams of words for Arabic, +English, Spanish, and Russian languages. As well as mobility information +related to the number of travels among locations for more than 200 countries or territories. +The documentation is on `readthedocs <https://text_models.readthedocs.io>`_. + +%prep +%autosetup -n text-models-1.0.7 + +%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-text-models -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.7-1 +- Package Spec generated @@ -0,0 +1 @@ +b3bc4dff9093368a72f4a4d88ff558ff text_models-1.0.7.tar.gz |