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authorCoprDistGit <infra@openeuler.org>2023-05-18 05:20:46 +0000
committerCoprDistGit <infra@openeuler.org>2023-05-18 05:20:46 +0000
commitac2321bb74873a8e0e28240d45e3b94ac167014f (patch)
treecf4eda951d6cc7c1793da68741883214209a04a0 /python-zetane.spec
parent82a679d4b609bfc639704dfff79e93b86649fd3b (diff)
automatic import of python-zetane
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+%global _empty_manifest_terminate_build 0
+Name: python-zetane
+Version: 0.2.0
+Release: 1
+Summary: Zetane Protector API
+License: LICENSE.md
+URL: https://zetane.com
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ef/17/69452aac6ffe4b35422febd24cbb96e0238532a7c5b211bd89a7e6fa421e/zetane-0.2.0.tar.gz
+BuildArch: noarch
+
+Requires: python3-dotenv
+Requires: python3-tqdm
+Requires: python3-requests
+Requires: python3-numpy
+
+%description
+Zetane Protector API is an automated platform for testing and improving the robustness of machine learning models and their data. It provides data scientists and operators with insights into proposed machine learning solutions and helps validate, understand, and analyze the operational boundaries of machine learning data and models prior to deployment.
+
+Visit our [docs](https://docs.zetane.com) for more details.
+
+
+%package -n python3-zetane
+Summary: Zetane Protector API
+Provides: python-zetane
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-zetane
+Zetane Protector API is an automated platform for testing and improving the robustness of machine learning models and their data. It provides data scientists and operators with insights into proposed machine learning solutions and helps validate, understand, and analyze the operational boundaries of machine learning data and models prior to deployment.
+
+Visit our [docs](https://docs.zetane.com) for more details.
+
+
+%package help
+Summary: Development documents and examples for zetane
+Provides: python3-zetane-doc
+%description help
+Zetane Protector API is an automated platform for testing and improving the robustness of machine learning models and their data. It provides data scientists and operators with insights into proposed machine learning solutions and helps validate, understand, and analyze the operational boundaries of machine learning data and models prior to deployment.
+
+Visit our [docs](https://docs.zetane.com) for more details.
+
+
+%prep
+%autosetup -n zetane-0.2.0
+
+%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-zetane -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.0-1
+- Package Spec generated