pyfrc 2014.7.5

Development tools library for python interpreter used for the FIRST Robotics Competition

pyfrc - RobotPy development library helper

[](https://travis-ci.org/robotpy/pyfrc)

pyfrc is a python 3 library designed to make developing code for RobotPy (the Python interpreter for the FIRST Robotics Competition) easier.

This library contains a few primary parts:

• A built-in uploader that will upload your robot code to the robot

• An implementation of wpilib that allows you to run robot code on your computer without a cRio

  This is a library designed to emulate parts of WPILib so you can more easily do unit testing of your robot code on any platform that supports python3, without having to have a cRio around for testing.

  NOTE: This is not a complete implementation of WPILib. Add more things as needed, and submit patches! :)

• Integration with the py.test testing tool to allow you to easily write unit tests for your robot code.

• A robot simulator tool which allows you to run your code in (vaguely) real time and get simple feedback via a tk-based UI

Documentation

For usage, detailed installation information, and other notes, please see our documentation at http://pyfrc.readthedocs.org/en/latest/

Quick Install + Demo

If you have python3 and pip installed, then do:

pip3 install pyfrc

Once this is done, you can run a quick demo by running:

cd samples/physics/src/ python3 robot.py sim

Contributing new changes

pyfrc is intended to be a project that all members of the FIRST community can quickly and easily contribute to. If you find a bug, or have an idea that you think others can use:

1. [Fork this git repository](https://github.com/robotpy/robotpy/fork) to your github account

2. Create your feature branch (git checkout -b my-new-feature)

3. Commit your changes (git commit -am ‘Add some feature’)

4. Push to the branch (git push -u origin my-new-feature)

5. Create new Pull Request on github

Authors

Dustin Spicuzza ([e-mail])

pyfrc is originally derived from (and supercedes) fake_wpilib, which was developed with contributions from Sam Rosenblum and Team 2423.