%global _empty_manifest_terminate_build 0 Name: python-dowel Version: 0.0.4 Release: 1 Summary: A logger for machine learning research License: MIT URL: https://github.com/rlworkgroup/dowel Source0: https://mirrors.nju.edu.cn/pypi/web/packages/f2/7a/12fe1aa38d99d3c7d0d87b728e9528a6b5642ff201e1d1726633ae5813e4/dowel-0.0.4.tar.gz BuildArch: noarch %description [![Build Status](https://travis-ci.com/rlworkgroup/dowel.svg?branch=master)](https://travis-ci.com/rlworkgroup/dowel) [![codecov](https://codecov.io/gh/rlworkgroup/dowel/branch/master/graph/badge.svg)](https://codecov.io/gh/rlworkgroup/dowel) [![Docs](https://readthedocs.org/projects/dowel/badge)](http://dowel.readthedocs.org/en/latest/) [![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/rlworkgroup/dowel/blob/master/LICENSE) [![PyPI version](https://badge.fury.io/py/dowel.svg)](https://badge.fury.io/py/dowel) # dowel dowel is a little logger for machine learning research. ## Installation ```shell pip install dowel ``` ## Usage ```python import dowel from dowel import logger, tabular logger.add_output(dowel.StdOutput()) logger.add_output(dowel.TensorBoardOutput('tensorboard_logdir')) logger.log('Starting up...') for i in range(1000): logger.push_prefix('itr {}'.format(i)) logger.log('Running training step') tabular.record('itr', i) tabular.record('loss', 100.0 / (2 + i)) logger.log(tabular) logger.pop_prefix() logger.dump_all() logger.remove_all() ``` %package -n python3-dowel Summary: A logger for machine learning research Provides: python-dowel BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-dowel [![Build Status](https://travis-ci.com/rlworkgroup/dowel.svg?branch=master)](https://travis-ci.com/rlworkgroup/dowel) [![codecov](https://codecov.io/gh/rlworkgroup/dowel/branch/master/graph/badge.svg)](https://codecov.io/gh/rlworkgroup/dowel) [![Docs](https://readthedocs.org/projects/dowel/badge)](http://dowel.readthedocs.org/en/latest/) [![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/rlworkgroup/dowel/blob/master/LICENSE) [![PyPI version](https://badge.fury.io/py/dowel.svg)](https://badge.fury.io/py/dowel) # dowel dowel is a little logger for machine learning research. ## Installation ```shell pip install dowel ``` ## Usage ```python import dowel from dowel import logger, tabular logger.add_output(dowel.StdOutput()) logger.add_output(dowel.TensorBoardOutput('tensorboard_logdir')) logger.log('Starting up...') for i in range(1000): logger.push_prefix('itr {}'.format(i)) logger.log('Running training step') tabular.record('itr', i) tabular.record('loss', 100.0 / (2 + i)) logger.log(tabular) logger.pop_prefix() logger.dump_all() logger.remove_all() ``` %package help Summary: Development documents and examples for dowel Provides: python3-dowel-doc %description help [![Build Status](https://travis-ci.com/rlworkgroup/dowel.svg?branch=master)](https://travis-ci.com/rlworkgroup/dowel) [![codecov](https://codecov.io/gh/rlworkgroup/dowel/branch/master/graph/badge.svg)](https://codecov.io/gh/rlworkgroup/dowel) [![Docs](https://readthedocs.org/projects/dowel/badge)](http://dowel.readthedocs.org/en/latest/) [![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/rlworkgroup/dowel/blob/master/LICENSE) [![PyPI version](https://badge.fury.io/py/dowel.svg)](https://badge.fury.io/py/dowel) # dowel dowel is a little logger for machine learning research. ## Installation ```shell pip install dowel ``` ## Usage ```python import dowel from dowel import logger, tabular logger.add_output(dowel.StdOutput()) logger.add_output(dowel.TensorBoardOutput('tensorboard_logdir')) logger.log('Starting up...') for i in range(1000): logger.push_prefix('itr {}'.format(i)) logger.log('Running training step') tabular.record('itr', i) tabular.record('loss', 100.0 / (2 + i)) logger.log(tabular) logger.pop_prefix() logger.dump_all() logger.remove_all() ``` %prep %autosetup -n dowel-0.0.4 %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-dowel -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 0.0.4-1 - Package Spec generated