Test Code

This skill handles running the project's tests, including core types and general functionality.

Usage

To run all tests:

pytest

To run and check core metadata propagation (TimeSeries/Spectrogram matrices):

pytest tests/ -k "metadata" # or relevant pattern

Focus Areas (Core Verification)

• Metadata Propagation: Verify radian(), degree(), to_matrix() keep axes and units.
• Ufuncs: Check that arithmetic operations respect units.
• Collections: Ensure List/Dict to Matrix conversion inherits metadata correctly.

Implementation Patterns

Physics-First TDD (P-TDD)

When implementing physical logic such as numerical calculations or signal processing, create an independent verification script (scripts/verify_*.py) before adding it to the pytest suite.

1. Theoretical Verification: Execute Parseval's theorem, check known amplitude/frequency peaks, and perform dimensional analysis of units.
2. Promotion to Pytest: After success is confirmed, extract assertions from the verification script and migrate/elevate them to a formal pytest file (e.g., tests/fields/test_*.py).

This allows environment-dependent AttributeErrors or logic errors to be isolated in a clean environment before integration into CI.