%global _empty_manifest_terminate_build 0 Name: python-sacred Version: 0.8.4 Release: 1 Summary: Facilitates automated and reproducible experimental research License: MIT License URL: https://github.com/IDSIA/sacred Source0: https://mirrors.nju.edu.cn/pypi/web/packages/87/90/cf3a9889042596e6ddedd4a2c10990d3e26d7f41a405292eba99550eddf2/sacred-0.8.4.tar.gz BuildArch: noarch Requires: python3-docopt Requires: python3-jsonpickle Requires: python3-munch Requires: python3-wrapt Requires: python3-py-cpuinfo Requires: python3-colorama Requires: python3-packaging Requires: python3-GitPython %description | *Every experiment is sacred* | *Every experiment is great* | *If an experiment is wasted* | *God gets quite irate* |pypi| |py_versions| |license| |rtfd| |doi| |build| |coverage| |code_quality| |black| Sacred is a tool to help you configure, organize, log and reproduce experiments. It is designed to do all the tedious overhead work that you need to do around your actual experiment in order to: - keep track of all the parameters of your experiment - easily run your experiment for different settings - save configurations for individual runs in a database - reproduce your results Sacred achieves this through the following main mechanisms: - **Config Scopes** A very convenient way of the local variables in a function to define the parameters your experiment uses. - **Config Injection**: You can access all parameters of your configuration from every function. They are automatically injected by name. - **Command-line interface**: You get a powerful command-line interface for each experiment that you can use to change parameters and run different variants. - **Observers**: Sacred provides Observers that log all kinds of information about your experiment, its dependencies, the configuration you used, the machine it is run on, and of course the result. These can be saved to a MongoDB, for easy access later. - **Automatic seeding** helps controlling the randomness in your experiments, such that the results remain reproducible. %package -n python3-sacred Summary: Facilitates automated and reproducible experimental research Provides: python-sacred BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-sacred | *Every experiment is sacred* | *Every experiment is great* | *If an experiment is wasted* | *God gets quite irate* |pypi| |py_versions| |license| |rtfd| |doi| |build| |coverage| |code_quality| |black| Sacred is a tool to help you configure, organize, log and reproduce experiments. It is designed to do all the tedious overhead work that you need to do around your actual experiment in order to: - keep track of all the parameters of your experiment - easily run your experiment for different settings - save configurations for individual runs in a database - reproduce your results Sacred achieves this through the following main mechanisms: - **Config Scopes** A very convenient way of the local variables in a function to define the parameters your experiment uses. - **Config Injection**: You can access all parameters of your configuration from every function. They are automatically injected by name. - **Command-line interface**: You get a powerful command-line interface for each experiment that you can use to change parameters and run different variants. - **Observers**: Sacred provides Observers that log all kinds of information about your experiment, its dependencies, the configuration you used, the machine it is run on, and of course the result. These can be saved to a MongoDB, for easy access later. - **Automatic seeding** helps controlling the randomness in your experiments, such that the results remain reproducible. %package help Summary: Development documents and examples for sacred Provides: python3-sacred-doc %description help | *Every experiment is sacred* | *Every experiment is great* | *If an experiment is wasted* | *God gets quite irate* |pypi| |py_versions| |license| |rtfd| |doi| |build| |coverage| |code_quality| |black| Sacred is a tool to help you configure, organize, log and reproduce experiments. It is designed to do all the tedious overhead work that you need to do around your actual experiment in order to: - keep track of all the parameters of your experiment - easily run your experiment for different settings - save configurations for individual runs in a database - reproduce your results Sacred achieves this through the following main mechanisms: - **Config Scopes** A very convenient way of the local variables in a function to define the parameters your experiment uses. - **Config Injection**: You can access all parameters of your configuration from every function. They are automatically injected by name. - **Command-line interface**: You get a powerful command-line interface for each experiment that you can use to change parameters and run different variants. - **Observers**: Sacred provides Observers that log all kinds of information about your experiment, its dependencies, the configuration you used, the machine it is run on, and of course the result. These can be saved to a MongoDB, for easy access later. - **Automatic seeding** helps controlling the randomness in your experiments, such that the results remain reproducible. %prep %autosetup -n sacred-0.8.4 %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-sacred -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 11 2023 Python_Bot - 0.8.4-1 - Package Spec generated