%global _empty_manifest_terminate_build 0 Name: python-metaflow Version: 2.8.2 Release: 1 Summary: Metaflow: More Data Science, Less Engineering License: Apache Software License URL: https://pypi.org/project/metaflow/ Source0: https://mirrors.nju.edu.cn/pypi/web/packages/6f/1c/25aa65e35b9a93a896d20344f4bbebf1fc72068cf33d4aefeb999654caea/metaflow-2.8.2.tar.gz BuildArch: noarch Requires: python3-requests Requires: python3-boto3 Requires: python3-pylint %description ![Metaflow_Logo_Horizontal_FullColor_Ribbon_Dark_RGB](https://user-images.githubusercontent.com/763451/89453116-96a57e00-d713-11ea-9fa6-82b29d4d6eff.png) # Metaflow Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. For more information, see [Metaflow's website](https://metaflow.org) and [documentation](https://docs.metaflow.org). ## Getting Started Getting up and running with Metaflow is easy. ### Python Install metaflow from [pypi](https://pypi.org/project/metaflow/): ```sh pip install metaflow ``` and access tutorials by typing: ```sh metaflow tutorials pull ``` ### R Install Metaflow from [github](https://github.com/Netflix/metaflow/tree/master/R): ```R devtools::install_github("Netflix/metaflow", subdir="R") metaflow::install() ``` and access tutorials by typing: ```R metaflow::pull_tutorials() ``` ## Get in Touch There are several ways to get in touch with us: * Open an issue at: https://github.com/Netflix/metaflow * Email us at: help@metaflow.org * Chat with us on: http://chat.metaflow.org ## Contributing We welcome contributions to Metaflow. Please see our [contribution guide](https://docs.metaflow.org/introduction/contributing-to-metaflow) for more details. ### Code style We use [black](https://black.readthedocs.io/en/stable/) as a code formatter. The easiest way to ensure your commits are always formatted with the correct version of `black` it is to use [pre-commit](https://pre-commit.com/): install it and then run `pre-commit install` once in your local copy of the repo. %package -n python3-metaflow Summary: Metaflow: More Data Science, Less Engineering Provides: python-metaflow BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-metaflow ![Metaflow_Logo_Horizontal_FullColor_Ribbon_Dark_RGB](https://user-images.githubusercontent.com/763451/89453116-96a57e00-d713-11ea-9fa6-82b29d4d6eff.png) # Metaflow Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. For more information, see [Metaflow's website](https://metaflow.org) and [documentation](https://docs.metaflow.org). ## Getting Started Getting up and running with Metaflow is easy. ### Python Install metaflow from [pypi](https://pypi.org/project/metaflow/): ```sh pip install metaflow ``` and access tutorials by typing: ```sh metaflow tutorials pull ``` ### R Install Metaflow from [github](https://github.com/Netflix/metaflow/tree/master/R): ```R devtools::install_github("Netflix/metaflow", subdir="R") metaflow::install() ``` and access tutorials by typing: ```R metaflow::pull_tutorials() ``` ## Get in Touch There are several ways to get in touch with us: * Open an issue at: https://github.com/Netflix/metaflow * Email us at: help@metaflow.org * Chat with us on: http://chat.metaflow.org ## Contributing We welcome contributions to Metaflow. Please see our [contribution guide](https://docs.metaflow.org/introduction/contributing-to-metaflow) for more details. ### Code style We use [black](https://black.readthedocs.io/en/stable/) as a code formatter. The easiest way to ensure your commits are always formatted with the correct version of `black` it is to use [pre-commit](https://pre-commit.com/): install it and then run `pre-commit install` once in your local copy of the repo. %package help Summary: Development documents and examples for metaflow Provides: python3-metaflow-doc %description help ![Metaflow_Logo_Horizontal_FullColor_Ribbon_Dark_RGB](https://user-images.githubusercontent.com/763451/89453116-96a57e00-d713-11ea-9fa6-82b29d4d6eff.png) # Metaflow Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. For more information, see [Metaflow's website](https://metaflow.org) and [documentation](https://docs.metaflow.org). ## Getting Started Getting up and running with Metaflow is easy. ### Python Install metaflow from [pypi](https://pypi.org/project/metaflow/): ```sh pip install metaflow ``` and access tutorials by typing: ```sh metaflow tutorials pull ``` ### R Install Metaflow from [github](https://github.com/Netflix/metaflow/tree/master/R): ```R devtools::install_github("Netflix/metaflow", subdir="R") metaflow::install() ``` and access tutorials by typing: ```R metaflow::pull_tutorials() ``` ## Get in Touch There are several ways to get in touch with us: * Open an issue at: https://github.com/Netflix/metaflow * Email us at: help@metaflow.org * Chat with us on: http://chat.metaflow.org ## Contributing We welcome contributions to Metaflow. Please see our [contribution guide](https://docs.metaflow.org/introduction/contributing-to-metaflow) for more details. ### Code style We use [black](https://black.readthedocs.io/en/stable/) as a code formatter. The easiest way to ensure your commits are always formatted with the correct version of `black` it is to use [pre-commit](https://pre-commit.com/): install it and then run `pre-commit install` once in your local copy of the repo. %prep %autosetup -n metaflow-2.8.2 %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-metaflow -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 11 2023 Python_Bot - 2.8.2-1 - Package Spec generated