automatic import of python-trustedanalytics

3 files changed, 116 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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--- a/.gitignore
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+/trustedanalytics-0.7.3.post20161020785.tar.gz
diff --git a/python-trustedanalytics.spec b/python-trustedanalytics.spec
new file mode 100644
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+%global _empty_manifest_terminate_build 0
+Name:		python-trustedanalytics
+Version:	0.7.3.post20161020785
+Release:	1
+Summary:	Trusted Analytics Toolkit
+License:	Apache 2
+URL:		http://trustedanalytics.github.io/atk
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/2c/0b/b33df79ccd4565fe5d56cc30f2a251126da9e5cf8c1589923da1ef15ce16/trustedanalytics-0.7.3.post20161020785.tar.gz
+BuildArch:	noarch
+
+
+%description
+trusted analytics
+
+trusted analytics is a platform that simplifies applying graph analytics and machine learning to big data for superior knowledge
+discovery and predictive modeling across a wide variety of use cases and solutions. ATK provides an analytics pipeline
+spanning feature engineering, graph construction, graph analytics, and machine learning using an extensible,
+modular framework. By unifying graph and entity-based machine learning, machine learning developers can incorporate an
+entity's nearby relationships to yield superior predictive models that better represent the contextual information in
+the data. All functionality operates at full scale, yet are accessed using a higher level Python data science
+programming abstraction to significantly ease the complexity of cluster computing and parallel processing.
+The platform is fully extensible through a plugin architecture that allows incorporating the full range of analytics
+and machine learning for any solution need in a unified workflow that frees the researchers from the overhead of
+understanding, integrating, and inefficiently iterating across a diversity of formats and interfaces.
+
+Documentation http://trustedanalytics.github.io/atk/
+Source  https://github.com/trustedanalytics/atk
+
+%package -n python3-trustedanalytics
+Summary:	Trusted Analytics Toolkit
+Provides:	python-trustedanalytics
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-trustedanalytics
+trusted analytics
+
+trusted analytics is a platform that simplifies applying graph analytics and machine learning to big data for superior knowledge
+discovery and predictive modeling across a wide variety of use cases and solutions. ATK provides an analytics pipeline
+spanning feature engineering, graph construction, graph analytics, and machine learning using an extensible,
+modular framework. By unifying graph and entity-based machine learning, machine learning developers can incorporate an
+entity's nearby relationships to yield superior predictive models that better represent the contextual information in
+the data. All functionality operates at full scale, yet are accessed using a higher level Python data science
+programming abstraction to significantly ease the complexity of cluster computing and parallel processing.
+The platform is fully extensible through a plugin architecture that allows incorporating the full range of analytics
+and machine learning for any solution need in a unified workflow that frees the researchers from the overhead of
+understanding, integrating, and inefficiently iterating across a diversity of formats and interfaces.
+
+Documentation http://trustedanalytics.github.io/atk/
+Source  https://github.com/trustedanalytics/atk
+
+%package help
+Summary:	Development documents and examples for trustedanalytics
+Provides:	python3-trustedanalytics-doc
+%description help
+trusted analytics
+
+trusted analytics is a platform that simplifies applying graph analytics and machine learning to big data for superior knowledge
+discovery and predictive modeling across a wide variety of use cases and solutions. ATK provides an analytics pipeline
+spanning feature engineering, graph construction, graph analytics, and machine learning using an extensible,
+modular framework. By unifying graph and entity-based machine learning, machine learning developers can incorporate an
+entity's nearby relationships to yield superior predictive models that better represent the contextual information in
+the data. All functionality operates at full scale, yet are accessed using a higher level Python data science
+programming abstraction to significantly ease the complexity of cluster computing and parallel processing.
+The platform is fully extensible through a plugin architecture that allows incorporating the full range of analytics
+and machine learning for any solution need in a unified workflow that frees the researchers from the overhead of
+understanding, integrating, and inefficiently iterating across a diversity of formats and interfaces.
+
+Documentation http://trustedanalytics.github.io/atk/
+Source  https://github.com/trustedanalytics/atk
+
+%prep
+%autosetup -n trustedanalytics-0.7.3.post20161020785
+
+%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-trustedanalytics -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.3.post20161020785-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..4ab5edc
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+3d86edea5ad5abfbd05c7bea8d5278a2  trustedanalytics-0.7.3.post20161020785.tar.gz