%global _empty_manifest_terminate_build 0 Name: python-spotify_tensorflow Version: 0.7.7 Release: 1 Summary: Spotify-specific helpers for TensorFlow License: Apache-2 URL: https://github.com/spotify/spotify-tensorflow Source0: https://mirrors.nju.edu.cn/pypi/web/packages/0b/48/415fa10b97a989911aca776df010f373aa490f423e7eef68f083011a4f03/spotify_tensorflow-0.7.7.tar.gz BuildArch: noarch %description # spotify-tensorflow [![Build Status](https://img.shields.io/circleci/project/github/spotify/spotify-tensorflow/master.svg)](https://circleci.com/gh/spotify/spotify-tensorflow) [![Coverage](https://img.shields.io/codecov/c/github/spotify/spotify-tensorflow/master.svg?style=flat)](https://codecov.io/github/spotify/spotify-tensorflow?branch=master) [![GitHub license](https://img.shields.io/github/license/spotify/spotify-tensorflow.svg)](./LICENSE) [![PyPI version](https://badge.fury.io/py/spotify_tensorflow.svg)](https://badge.fury.io/py/spotify_tensorflow) ## Purpose: Provide Spotify specific TensorFlow helpers. ## Features * tf.data integration with [Featran](https://github.com/spotify/featran) * common Dataset API to read: * TFRecord datasets as tf.Tensor * TFRecord datasets as Pandas DataFrame * TFRecord datasets as python dict * tf.Graph freezing utilities * TensorFlow integration with [Luigi](https://github.com/spotify/luigi) ## Examples: Check examples in the [examples directory](https://github.com/spotify/spotify-tensorflow/tree/master/examples), currently they include: * sklearn training via Pandas DataFrame dataset * XGBoost training via tf.Example dataset * TensorFlow training via tf.Example dataset To run the examples: ```sh $ pip install -e .[examples] $ bin/run-examples ``` ## Development: This project uses `tox`. ```sh $ pip install tox ``` To see all `testenv`'s: ```sh $ tox -l mypy lint examples-py27 examples-py35 test-py27 test-py35 upload-coverage license ``` To run the tests: ``` tox -e test ``` To release: ``` git commit --allow-empty -m "Release x.y.z" git tag x.y.z git push --tags origin master ``` Then upload to pypi: ``` python setup.py sdist upload -r pypi ``` %package -n python3-spotify_tensorflow Summary: Spotify-specific helpers for TensorFlow Provides: python-spotify_tensorflow BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-spotify_tensorflow # spotify-tensorflow [![Build Status](https://img.shields.io/circleci/project/github/spotify/spotify-tensorflow/master.svg)](https://circleci.com/gh/spotify/spotify-tensorflow) [![Coverage](https://img.shields.io/codecov/c/github/spotify/spotify-tensorflow/master.svg?style=flat)](https://codecov.io/github/spotify/spotify-tensorflow?branch=master) [![GitHub license](https://img.shields.io/github/license/spotify/spotify-tensorflow.svg)](./LICENSE) [![PyPI version](https://badge.fury.io/py/spotify_tensorflow.svg)](https://badge.fury.io/py/spotify_tensorflow) ## Purpose: Provide Spotify specific TensorFlow helpers. ## Features * tf.data integration with [Featran](https://github.com/spotify/featran) * common Dataset API to read: * TFRecord datasets as tf.Tensor * TFRecord datasets as Pandas DataFrame * TFRecord datasets as python dict * tf.Graph freezing utilities * TensorFlow integration with [Luigi](https://github.com/spotify/luigi) ## Examples: Check examples in the [examples directory](https://github.com/spotify/spotify-tensorflow/tree/master/examples), currently they include: * sklearn training via Pandas DataFrame dataset * XGBoost training via tf.Example dataset * TensorFlow training via tf.Example dataset To run the examples: ```sh $ pip install -e .[examples] $ bin/run-examples ``` ## Development: This project uses `tox`. ```sh $ pip install tox ``` To see all `testenv`'s: ```sh $ tox -l mypy lint examples-py27 examples-py35 test-py27 test-py35 upload-coverage license ``` To run the tests: ``` tox -e test ``` To release: ``` git commit --allow-empty -m "Release x.y.z" git tag x.y.z git push --tags origin master ``` Then upload to pypi: ``` python setup.py sdist upload -r pypi ``` %package help Summary: Development documents and examples for spotify_tensorflow Provides: python3-spotify_tensorflow-doc %description help # spotify-tensorflow [![Build Status](https://img.shields.io/circleci/project/github/spotify/spotify-tensorflow/master.svg)](https://circleci.com/gh/spotify/spotify-tensorflow) [![Coverage](https://img.shields.io/codecov/c/github/spotify/spotify-tensorflow/master.svg?style=flat)](https://codecov.io/github/spotify/spotify-tensorflow?branch=master) [![GitHub license](https://img.shields.io/github/license/spotify/spotify-tensorflow.svg)](./LICENSE) [![PyPI version](https://badge.fury.io/py/spotify_tensorflow.svg)](https://badge.fury.io/py/spotify_tensorflow) ## Purpose: Provide Spotify specific TensorFlow helpers. ## Features * tf.data integration with [Featran](https://github.com/spotify/featran) * common Dataset API to read: * TFRecord datasets as tf.Tensor * TFRecord datasets as Pandas DataFrame * TFRecord datasets as python dict * tf.Graph freezing utilities * TensorFlow integration with [Luigi](https://github.com/spotify/luigi) ## Examples: Check examples in the [examples directory](https://github.com/spotify/spotify-tensorflow/tree/master/examples), currently they include: * sklearn training via Pandas DataFrame dataset * XGBoost training via tf.Example dataset * TensorFlow training via tf.Example dataset To run the examples: ```sh $ pip install -e .[examples] $ bin/run-examples ``` ## Development: This project uses `tox`. ```sh $ pip install tox ``` To see all `testenv`'s: ```sh $ tox -l mypy lint examples-py27 examples-py35 test-py27 test-py35 upload-coverage license ``` To run the tests: ``` tox -e test ``` To release: ``` git commit --allow-empty -m "Release x.y.z" git tag x.y.z git push --tags origin master ``` Then upload to pypi: ``` python setup.py sdist upload -r pypi ``` %prep %autosetup -n spotify_tensorflow-0.7.7 %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-spotify_tensorflow -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon Apr 10 2023 Python_Bot - 0.7.7-1 - Package Spec generated