PipBERT 4.1.0

Serial communication link bit error rate tester simulator, written in Python.

PyBERT

PyBERT is a serial communication link bit error rate tester simulator with a graphical user interface (GUI).

It uses the Traits/UI package of the Enthought Python Distribution (EPD) http://www.enthought.com/products/epd.php, as well as the NumPy and SciPy packages.

Notice: Before using this package for any purpose, you MUST read and understand the terms put forward in the accompanying "LICENSE" file.

Wiki

• https://github.com/capn-freako/PyBERT/wiki

FAQ

• https://github.com/capn-freako/PyBERT/wiki/pybert_faq

Email List

• [e-mail]

User Installation

• https://github.com/capn-freako/PyBERT/wiki/instant_gratification

Developer Installation

• https://github.com/capn-freako/PyBERT/wiki/dev_install

Testing

Tox is used for the test runner and documentation builder. By default, it will try to unit test for any installed/supported of versions and it will skip any missing versions.

• pip install tox
• tox -p all

To run a single environment such as "docs" run: tox -e docs

Documentation

PyBERT documentation exists in 2 separate forms:

• For developers:

  • pybert/doc/build/html/index.html (See testing on how to build the documentation)
  • https://github.com/capn-freako/PyBERT/wiki/dev_install

• For users:

  • Quick installation instructions at https://github.com/capn-freako/PyBERT/wiki/instant_gratification
  • The 'Help' tab of the PyBERT GUI
  • The PyBERT FAQ at https://github.com/capn-freako/PyBERT/wiki/pybert_faq
  • Sending e-mail to David Banas at [e-mail]

Acknowledgments

I would like to thank the following individuals for their contributions to the PyBERT project:

David Patterson for being my main co-author and for his countless hours driving the PyBERT project across the Python2<=>Python3 divide, as well as, more recently, completely updating its build infrastructure to be more in sync. w/ modern Python package building/testing/distribution philosophy.

Peter Pupalaikis for sharing his expertise w/ both Fourier transform and S-parameter subtleties. The PyBERT source code wouldn't have nearly the mathematical/theoretical fidelity that it does had Peter not contributed.

Yuri Shlepnev for his rock solid understanding of RF fundamentals, as well as his infinite patience in helping me understand them, too. ;-)

Dennis Han for thoroughly beating the snot out of PyBERT w/ nothing but love in his heart and determination in his mind to drive PyBERT further towards a professional level of quality. Dennis has made perhaps the most significant contributions towards making PyBERT a serious tool for the working professional serial communications link designer.

Todd Westerhoff for helping me better understand what tool features really matter to working professional link designers and which are just in the way. Also, for some very helpful feedback, re: improving the real World PyBERT experience for the user.

Mark Marlett for first introducing me to Python/NumPy/SciPy, as an alternative to MATLAB for numerical computing and signal processing, as well as his countless hours of tutelage, regarding the finer points of serial communication link simulation technique. Mark is also the one, who insisted that I take a break from development and finally write some documentation, so that others could understand what I intended and, hopefully, contribute. Thanks, Mark!

Low Kian Seong for straightening out my understanding of the real purpose of the description field in the setup.py script.

Jason Ellison for many cathartic chats on the topic of quality open source software creation, maintenance, and distribution.

Michael Gielda & Denz Choe for their contributions to the PyBERT code base.

The entire SciKit-RF team for creating and supporting an absolutely wonderful Python package for working with RF models and simulations.