%global _empty_manifest_terminate_build 0 Name: python-eyekit Version: 0.5.0 Release: 1 Summary: A Python package for analyzing reading behavior using eyetracking data License: GPLv3 URL: https://jwcarr.github.io/eyekit/ Source0: https://mirrors.nju.edu.cn/pypi/web/packages/41/a4/7d79d35864aa7d2e412dc5136a6e38a36aba4c4985dfa13386f93a9cd231/eyekit-0.5.0.tar.gz BuildArch: noarch Requires: python3-cairocffi %description - You want to analyze which parts of a text someone is looking at and for how long. - You need convenient tools for extracting areas of interest from texts, such as specific words, phrases, or letter combinations. - You want to calculate common reading measures, such as gaze duration or initial landing position. - You need support for arbitrary fonts, multiline passages, right-to-left text, or non-alphabetical scripts. - You want the flexibility to define custom reading measures and to build your own reproducible processing pipeline. - You would like tools for dealing with noise and calibration issues, and for discarding fixations according to your own criteria. - You want to share your data in an open format and produce publication-ready vector graphics. %package -n python3-eyekit Summary: A Python package for analyzing reading behavior using eyetracking data Provides: python-eyekit BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-eyekit - You want to analyze which parts of a text someone is looking at and for how long. - You need convenient tools for extracting areas of interest from texts, such as specific words, phrases, or letter combinations. - You want to calculate common reading measures, such as gaze duration or initial landing position. - You need support for arbitrary fonts, multiline passages, right-to-left text, or non-alphabetical scripts. - You want the flexibility to define custom reading measures and to build your own reproducible processing pipeline. - You would like tools for dealing with noise and calibration issues, and for discarding fixations according to your own criteria. - You want to share your data in an open format and produce publication-ready vector graphics. %package help Summary: Development documents and examples for eyekit Provides: python3-eyekit-doc %description help - You want to analyze which parts of a text someone is looking at and for how long. - You need convenient tools for extracting areas of interest from texts, such as specific words, phrases, or letter combinations. - You want to calculate common reading measures, such as gaze duration or initial landing position. - You need support for arbitrary fonts, multiline passages, right-to-left text, or non-alphabetical scripts. - You want the flexibility to define custom reading measures and to build your own reproducible processing pipeline. - You would like tools for dealing with noise and calibration issues, and for discarding fixations according to your own criteria. - You want to share your data in an open format and produce publication-ready vector graphics. %prep %autosetup -n eyekit-0.5.0 %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-eyekit -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon May 29 2023 Python_Bot - 0.5.0-1 - Package Spec generated