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+%global _empty_manifest_terminate_build 0
+Name:		python-ANNOgesic
+Version:	1.1.14
+Release:	1
+Summary:	ANNOgesic - A tool for bacterial/archaeal RNA-Seq based genome annotations
+License:	ISC License (ISCL)
+URL:		https://github.com/Sung-Huan/ANNOgesic
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/9e/d4/7acab28190683a2540c351f2a8769813f2200d04fff6c975d79c1da756d2/ANNOgesic-1.1.14.linux-x86_64.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-biopython
+Requires:	python3-matplotlib
+Requires:	python3-networkx
+Requires:	python3-numpy
+
+%description
+ANNOgesic is the swiss army knife for RNA-Seq based annotation of
+bacterial/archaeal genomes.
+It is a modular, command-line tool that can integrate different types
+of RNA-Seq data based on dRNA-Seq (differential RNA-Seq) or RNA-Seq
+protocols that inclusde transcript fragmentation to generate high
+quality genome annotations. It can detect genes, CDSs/tRNAs/rRNAs,
+transcription starting sites (TSS) and processing sites, transcripts,
+terminators, untranslated regions (UTR) as well as small RNAs (sRNA),
+small open reading frames (sORF), circular RNAs, CRISPR related RNAs,
+riboswitches and RNA-thermometers. It can also perform RNA-RNA and
+protein-protein interactions prediction. Furthermore, it groups genes
+into operons and sub-operons and reveal promoter motifs. It can also
+allocate GO term and subcellular localization to genes. Several of
+ANNOgesic features are new implementations while other build on well
+known third-party tools for which it offers adaptive
+parameter-optimizations. Additionally, numerous visualization and
+statistics help the user to quickly evaluat feature predictions
+resulting from an ANNOgesic analysis. The tool was heavily tested
+with several RNA-Seq data set from bacterial as well as archaeal
+samples.
+
+%package -n python3-ANNOgesic
+Summary:	ANNOgesic - A tool for bacterial/archaeal RNA-Seq based genome annotations
+Provides:	python-ANNOgesic
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-ANNOgesic
+ANNOgesic is the swiss army knife for RNA-Seq based annotation of
+bacterial/archaeal genomes.
+It is a modular, command-line tool that can integrate different types
+of RNA-Seq data based on dRNA-Seq (differential RNA-Seq) or RNA-Seq
+protocols that inclusde transcript fragmentation to generate high
+quality genome annotations. It can detect genes, CDSs/tRNAs/rRNAs,
+transcription starting sites (TSS) and processing sites, transcripts,
+terminators, untranslated regions (UTR) as well as small RNAs (sRNA),
+small open reading frames (sORF), circular RNAs, CRISPR related RNAs,
+riboswitches and RNA-thermometers. It can also perform RNA-RNA and
+protein-protein interactions prediction. Furthermore, it groups genes
+into operons and sub-operons and reveal promoter motifs. It can also
+allocate GO term and subcellular localization to genes. Several of
+ANNOgesic features are new implementations while other build on well
+known third-party tools for which it offers adaptive
+parameter-optimizations. Additionally, numerous visualization and
+statistics help the user to quickly evaluat feature predictions
+resulting from an ANNOgesic analysis. The tool was heavily tested
+with several RNA-Seq data set from bacterial as well as archaeal
+samples.
+
+%package help
+Summary:	Development documents and examples for ANNOgesic
+Provides:	python3-ANNOgesic-doc
+%description help
+ANNOgesic is the swiss army knife for RNA-Seq based annotation of
+bacterial/archaeal genomes.
+It is a modular, command-line tool that can integrate different types
+of RNA-Seq data based on dRNA-Seq (differential RNA-Seq) or RNA-Seq
+protocols that inclusde transcript fragmentation to generate high
+quality genome annotations. It can detect genes, CDSs/tRNAs/rRNAs,
+transcription starting sites (TSS) and processing sites, transcripts,
+terminators, untranslated regions (UTR) as well as small RNAs (sRNA),
+small open reading frames (sORF), circular RNAs, CRISPR related RNAs,
+riboswitches and RNA-thermometers. It can also perform RNA-RNA and
+protein-protein interactions prediction. Furthermore, it groups genes
+into operons and sub-operons and reveal promoter motifs. It can also
+allocate GO term and subcellular localization to genes. Several of
+ANNOgesic features are new implementations while other build on well
+known third-party tools for which it offers adaptive
+parameter-optimizations. Additionally, numerous visualization and
+statistics help the user to quickly evaluat feature predictions
+resulting from an ANNOgesic analysis. The tool was heavily tested
+with several RNA-Seq data set from bacterial as well as archaeal
+samples.
+
+%prep
+%autosetup -n ANNOgesic-1.1.14
+
+%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-ANNOgesic -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.14-1
+- Package Spec generated