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%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
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.4-1
- Package Spec generated
|