Skip to main content

Batch testing and similarity checking of python code.

Project description

unicity

I wrote this library to test and debug code from hundreds of Python files submitted by my programming class. It can also be used to find code submissions that are suspiciously similar (Python and MATLAB).

To get started, install unicity using pip.

pip install unicity

Then, download the and run the scripts in the example folder above. Start with loading_projects.py, batch_testing.py and similarity_check.py.

Some disclaimers:

  • I have discovered that when students are learning to code, they are very innovative in the ways they will find to break your workflow. So far, I have built support to catch and handle directory changes and infinite loops, but I'm sure there are more surprises out there! You can catch and handle these yourself in the way you define a test function, but I'd also like to hear if you think something should be added to make unicity testing more robust.

  • Similarity checking should be treated as a screening tool to highlight potential instances of copying. It does not (it cannot) assert that copying has in fact occurred. The best way to do that is by a follow up interview.

More documentation at readthedocs.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for unicity, version 0.5
Filename, size File type Python version Upload date Hashes
Filename, size unicity-0.5-py3-none-any.whl (33.6 kB) File type Wheel Python version py3 Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page