%global _empty_manifest_terminate_build 0 Name: python-spotml Version: 0.0.11 Release: 1 Summary: Automate ML training on spot instances easily. License: Apache Software License URL: https://spotml.io/ Source0: https://mirrors.aliyun.com/pypi/web/packages/4b/66/e4b5192a0a4ee194f90ec16d656c2e5996f2c448a9c39a486ce7da27203c/spotml-0.0.11.tar.gz BuildArch: noarch Requires: python3-boto3 Requires: python3-google-api-python-client Requires: python3-google-cloud-storage Requires: python3-cfn-flip Requires: python3-schema Requires: python3-chevron Requires: python3-requests Requires: python3-cfn-tools Requires: python3-tabulate Requires: python3-pytz Requires: python3-dateutil Requires: python3-tzlocal Requires: python3-twine %description [SpotML](https://www.spotml.io/) is a command-line tool that lets you manage ML training on spot instances. * Train entirely on spot instances to maximize savings * Or mix and match on-demand instances to meet your deadlines. * Handles all infrastructure so that training is as easy as running it locally. See [documentation](https://docs.spotml.io/). %package -n python3-spotml Summary: Automate ML training on spot instances easily. Provides: python-spotml BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-spotml [SpotML](https://www.spotml.io/) is a command-line tool that lets you manage ML training on spot instances. * Train entirely on spot instances to maximize savings * Or mix and match on-demand instances to meet your deadlines. * Handles all infrastructure so that training is as easy as running it locally. See [documentation](https://docs.spotml.io/). %package help Summary: Development documents and examples for spotml Provides: python3-spotml-doc %description help [SpotML](https://www.spotml.io/) is a command-line tool that lets you manage ML training on spot instances. * Train entirely on spot instances to maximize savings * Or mix and match on-demand instances to meet your deadlines. * Handles all infrastructure so that training is as easy as running it locally. See [documentation](https://docs.spotml.io/). %prep %autosetup -n spotml-0.0.11 %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-spotml -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 0.0.11-1 - Package Spec generated