Python for CQSFA

• Plotting algorithms
• ML learning tools
• Unit tests for modules

Setup

pip install -r requirements.txt

Tests

Run the full test suite with pytest from the repository root:

pytest

Examples

notebooks/examples.ipynb consolidates the example scripts (clustering, trajectory plotting, regression, IRIS, MNIST, ARC asymmetry, contour plotting) and calls the underlying helper classes in Source/ and MLexamples/. Some examples require data files that aren't included in this repository — see the notes in each section.