From 7134cf3a8f5eb8c100715b90e39abcc08697b1f0 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Tue, 20 Jun 2023 05:45:09 +0000 Subject: automatic import of python-sureal --- .gitignore | 1 + python-sureal.spec | 83 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 85 insertions(+) create mode 100644 python-sureal.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..cf02dee 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/sureal-0.9.0.tar.gz diff --git a/python-sureal.spec b/python-sureal.spec new file mode 100644 index 0000000..1f3c220 --- /dev/null +++ b/python-sureal.spec @@ -0,0 +1,83 @@ +%global _empty_manifest_terminate_build 0 +Name: python-sureal +Version: 0.9.0 +Release: 1 +Summary: Subjective Recovery Analysis +License: Apache 2.0 +URL: https://github.com/Netflix/sureal +Source0: https://mirrors.aliyun.com/pypi/web/packages/6d/70/e146e338561db102536250f1e5b633a6246840d065884406cb5da88f6dbc/sureal-0.9.0.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-matplotlib +Requires: python3-pandas +Requires: python3-setupmeta + +%description +SUREAL is a toolbox developed by Netflix that includes a number of models for the recovery of mean opinion scores (MOS) from noisy measurements obtained in psychovisual subjective experiments. +Read `this `_ paper and `this latest `_ paper for some background. +SUREAL also includes models to recover MOS from paired comparison (PC) subjective data, such as `Thurstone (Case V) `_ and `Bradley-Terry `_. + +%package -n python3-sureal +Summary: Subjective Recovery Analysis +Provides: python-sureal +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-sureal +SUREAL is a toolbox developed by Netflix that includes a number of models for the recovery of mean opinion scores (MOS) from noisy measurements obtained in psychovisual subjective experiments. +Read `this `_ paper and `this latest `_ paper for some background. +SUREAL also includes models to recover MOS from paired comparison (PC) subjective data, such as `Thurstone (Case V) `_ and `Bradley-Terry `_. + +%package help +Summary: Development documents and examples for sureal +Provides: python3-sureal-doc +%description help +SUREAL is a toolbox developed by Netflix that includes a number of models for the recovery of mean opinion scores (MOS) from noisy measurements obtained in psychovisual subjective experiments. +Read `this `_ paper and `this latest `_ paper for some background. +SUREAL also includes models to recover MOS from paired comparison (PC) subjective data, such as `Thurstone (Case V) `_ and `Bradley-Terry `_. + +%prep +%autosetup -n sureal-0.9.0 + +%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-sureal -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot - 0.9.0-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..c254cfd --- /dev/null +++ b/sources @@ -0,0 +1 @@ +4f822ad1d600950100cb80007c37e6fc sureal-0.9.0.tar.gz -- cgit v1.2.3