Lux-AI

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Testing

We use pytest for unit testing in this project. Test files are named with the pattern Test*.py and are located in each separate module.

Running Tests

Before merging or pushing changes, please run the unit tests using the following command in the main directory:

pytest

This will discover and run all test files across the project.

Logging

This project uses Python's built-in logging module for tracking events and debugging.

Adding Log Entries

To add a logging entry, use the logging.info() function in the corresponding section of the code. For example:

import logging

logging.info("This is an informational log message")

You can also use other log levels such as logging.debug(), logging.warning(), logging.error(), and logging.critical() as appropriate for the severity of the message.