From a303b217070838a6f2466f727b50ce9d388c3996 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Wed, 31 May 2023 04:41:32 +0000 Subject: automatic import of python-dcase-util --- python-dcase-util.spec | 114 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 114 insertions(+) create mode 100644 python-dcase-util.spec (limited to 'python-dcase-util.spec') diff --git a/python-dcase-util.spec b/python-dcase-util.spec new file mode 100644 index 0000000..26b1448 --- /dev/null +++ b/python-dcase-util.spec @@ -0,0 +1,114 @@ +%global _empty_manifest_terminate_build 0 +Name: python-dcase-util +Version: 0.2.20 +Release: 1 +Summary: A collection of utilities for Detection and Classification of Acoustic Scenes and Events +License: MIT +URL: https://github.com/DCASE-REPO/dcase_util +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/3f/a0/c8277b774a01df12179337f70ee004ddf0d4661e9c1e866628b3b3d1c4e4/dcase_util-0.2.20.tar.gz +BuildArch: noarch + + +%description +A collection of utilities for Detection and Classification of Acoustic +Scenes and Events +|Build Status| |Coverage Status| |PyPI| |License: MIT| +This collection of utilities is for Detection and Classification of +Acoustic Scenes and Events (DCASE). These utilities were originally +created for the DCASE challenge baseline systems +(`2016 `__ +& `2017 `__) and +are bundled into a standalone library to allow their re-usage in other +research projects. +The main goal of the utilities is to streamline the research code, make +it more readable, and easier to maintain. Most of the implemented +utilities are related to audio datasets: handling meta data and various +forms of other structured data, and provide standardized usage API to +audio datasets from various sources. + +%package -n python3-dcase-util +Summary: A collection of utilities for Detection and Classification of Acoustic Scenes and Events +Provides: python-dcase-util +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-dcase-util +A collection of utilities for Detection and Classification of Acoustic +Scenes and Events +|Build Status| |Coverage Status| |PyPI| |License: MIT| +This collection of utilities is for Detection and Classification of +Acoustic Scenes and Events (DCASE). These utilities were originally +created for the DCASE challenge baseline systems +(`2016 `__ +& `2017 `__) and +are bundled into a standalone library to allow their re-usage in other +research projects. +The main goal of the utilities is to streamline the research code, make +it more readable, and easier to maintain. Most of the implemented +utilities are related to audio datasets: handling meta data and various +forms of other structured data, and provide standardized usage API to +audio datasets from various sources. + +%package help +Summary: Development documents and examples for dcase-util +Provides: python3-dcase-util-doc +%description help +A collection of utilities for Detection and Classification of Acoustic +Scenes and Events +|Build Status| |Coverage Status| |PyPI| |License: MIT| +This collection of utilities is for Detection and Classification of +Acoustic Scenes and Events (DCASE). These utilities were originally +created for the DCASE challenge baseline systems +(`2016 `__ +& `2017 `__) and +are bundled into a standalone library to allow their re-usage in other +research projects. +The main goal of the utilities is to streamline the research code, make +it more readable, and easier to maintain. Most of the implemented +utilities are related to audio datasets: handling meta data and various +forms of other structured data, and provide standardized usage API to +audio datasets from various sources. + +%prep +%autosetup -n dcase-util-0.2.20 + +%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-dcase-util -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed May 31 2023 Python_Bot - 0.2.20-1 +- Package Spec generated -- cgit v1.2.3