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A conda-smithy repository for einsteinpy.
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einsteinpy/einsteinpy-feedstock
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<!-- # -*- mode: jinja -*- --> About einsteinpy ================ Home: https://einsteinpy.github.io/ Package license: MIT Feedstock license: BSD 3-Clause Summary: Python Library for General Relativity! Current build status ==================== All platforms: [![noarch](https://img.shields.io/circleci/project/github/conda-forge/einsteinpy-feedstock/master.svg?label=noarch)](https://circleci.com/gh/conda-forge/einsteinpy-feedstock) Current release info ==================== | Name | Downloads | Version | Platforms | | --- | --- | --- | --- | | [![Conda Recipe](https://img.shields.io/badge/recipe-einsteinpy-green.svg)](https://anaconda.org/conda-forge/einsteinpy) | [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/einsteinpy.svg)](https://anaconda.org/conda-forge/einsteinpy) | [![Conda Version](https://img.shields.io/conda/vn/conda-forge/einsteinpy.svg)](https://anaconda.org/conda-forge/einsteinpy) | [![Conda Platforms](https://img.shields.io/conda/pn/conda-forge/einsteinpy.svg)](https://anaconda.org/conda-forge/einsteinpy) | Installing einsteinpy ===================== Installing `einsteinpy` from the `conda-forge` channel can be achieved by adding `conda-forge` to your channels with: ``` conda config --add channels conda-forge ``` Once the `conda-forge` channel has been enabled, `einsteinpy` can be installed with: ``` conda install einsteinpy ``` It is possible to list all of the versions of `einsteinpy` available on your platform with: ``` conda search einsteinpy --channel conda-forge ``` About conda-forge ================= [![Powered by NumFOCUS](https://img.shields.io/badge/powered%20by-NumFOCUS-orange.svg?style=flat&colorA=E1523D&colorB=007D8A)](http://numfocus.org) conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a *feedstock*. A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by [CircleCI](https://circleci.com/), [AppVeyor](https://www.appveyor.com/) and [TravisCI](https://travis-ci.org/) it is possible to build and upload installable packages to the [conda-forge](https://anaconda.org/conda-forge) [Anaconda-Cloud](https://anaconda.org/) channel for Linux, Windows and OSX respectively. To manage the continuous integration and simplify feedstock maintenance [conda-smithy](https://github.com/conda-forge/conda-smithy) has been developed. Using the ``conda-forge.yml`` within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with ``conda smithy rerender``. For more information please check the [conda-forge documentation](https://conda-forge.org/docs/). Terminology =========== **feedstock** - the conda recipe (raw material), supporting scripts and CI configuration. **conda-smithy** - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI ``.yml`` files and simplify the management of *many* feedstocks. **conda-forge** - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions) Updating einsteinpy-feedstock ============================= If you would like to improve the einsteinpy recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the `conda-forge` channel, whereupon the built conda packages will be available for everybody to install and use from the `conda-forge` channel. Note that all branches in the conda-forge/einsteinpy-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions. In order to produce a uniquely identifiable distribution: * If the version of a package **is not** being increased, please add or increase the [``build/number``](https://conda.io/docs/user-guide/tasks/build-packages/define-metadata.html#build-number-and-string). * If the version of a package **is** being increased, please remember to return the [``build/number``](https://conda.io/docs/user-guide/tasks/build-packages/define-metadata.html#build-number-and-string) back to 0. Feedstock Maintainers ===================== * [@masquerade0097](https://github.com/masquerade0097/) * [@ritzvik](https://github.com/ritzvik/) * [@shreyasbapat](https://github.com/shreyasbapat/) * [@spino17](https://github.com/spino17/)
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