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%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 <Python_Bot@openeuler.org> - 0.5.0-1
- Package Spec generated
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