%global _empty_manifest_terminate_build 0 Name: python-h2o-pysparkling-3.0 Version: 3.40.0.2.post1 Release: 1 Summary: Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark License: Apache v2 URL: https://github.com/h2oai/sparkling-water Source0: https://mirrors.nju.edu.cn/pypi/web/packages/0c/af/296bc18f9269926951eb828dcfc4b4d92079cec6f5d1cb08e62f7910b5a9/h2o_pysparkling_3.0-3.40.0.2-1.tar.gz BuildArch: noarch %description This package contains complete functionality for training and scoring Sparkling Water/H2O-3 MOJO models. It's also possible to use this package for scoring with Driverless AI MOJO models. |Join the chat at https://gitter.im/h2oai/sparkling-water| |License| |Powered by H2O.ai| PySparkling Documentation is hosted at our documentation page: - For Spark 3.3 - http://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/pysparkling.html - For Spark 3.2 - http://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/pysparkling.html - For Spark 3.1 - http://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/pysparkling.html - For Spark 3.0 - http://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/pysparkling.html - For Spark 2.4 - http://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/pysparkling.html - For Spark 2.3 - http://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/pysparkling.html %package -n python3-h2o-pysparkling-3.0 Summary: Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark Provides: python-h2o-pysparkling-3.0 BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-h2o-pysparkling-3.0 This package contains complete functionality for training and scoring Sparkling Water/H2O-3 MOJO models. It's also possible to use this package for scoring with Driverless AI MOJO models. |Join the chat at https://gitter.im/h2oai/sparkling-water| |License| |Powered by H2O.ai| PySparkling Documentation is hosted at our documentation page: - For Spark 3.3 - http://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/pysparkling.html - For Spark 3.2 - http://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/pysparkling.html - For Spark 3.1 - http://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/pysparkling.html - For Spark 3.0 - http://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/pysparkling.html - For Spark 2.4 - http://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/pysparkling.html - For Spark 2.3 - http://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/pysparkling.html %package help Summary: Development documents and examples for h2o-pysparkling-3.0 Provides: python3-h2o-pysparkling-3.0-doc %description help This package contains complete functionality for training and scoring Sparkling Water/H2O-3 MOJO models. It's also possible to use this package for scoring with Driverless AI MOJO models. |Join the chat at https://gitter.im/h2oai/sparkling-water| |License| |Powered by H2O.ai| PySparkling Documentation is hosted at our documentation page: - For Spark 3.3 - http://docs.h2o.ai/sparkling-water/3.3/latest-stable/doc/pysparkling.html - For Spark 3.2 - http://docs.h2o.ai/sparkling-water/3.2/latest-stable/doc/pysparkling.html - For Spark 3.1 - http://docs.h2o.ai/sparkling-water/3.1/latest-stable/doc/pysparkling.html - For Spark 3.0 - http://docs.h2o.ai/sparkling-water/3.0/latest-stable/doc/pysparkling.html - For Spark 2.4 - http://docs.h2o.ai/sparkling-water/2.4/latest-stable/doc/pysparkling.html - For Spark 2.3 - http://docs.h2o.ai/sparkling-water/2.3/latest-stable/doc/pysparkling.html %prep %autosetup -n h2o-pysparkling-3.0-3.40.0.2.post1 %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-h2o-pysparkling-3.0 -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Sun Apr 23 2023 Python_Bot - 3.40.0.2.post1-1 - Package Spec generated