automatic import of python-dcase-util

3 files changed, 116 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/dcase_util-0.2.20.tar.gz
diff --git a/python-dcase-util.spec b/python-dcase-util.spec
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+%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 <https://github.com/TUT-ARG/DCASE2016-baseline-system-python>`__
+& `2017 <https://github.com/TUT-ARG/DCASE2017-baseline-system>`__) 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 <https://github.com/TUT-ARG/DCASE2016-baseline-system-python>`__
+& `2017 <https://github.com/TUT-ARG/DCASE2017-baseline-system>`__) 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 <https://github.com/TUT-ARG/DCASE2016-baseline-system-python>`__
+& `2017 <https://github.com/TUT-ARG/DCASE2017-baseline-system>`__) 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 <Python_Bot@openeuler.org> - 0.2.20-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..194db7e
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+ab65a9229a2ed2786633b80389c8ae32  dcase_util-0.2.20.tar.gz