- Added a new `AffinityResult` class to encapsulate the results of affinity computations, including the affinity matrix, trackings, and their respective indices.
- Introduced a vectorized implementation of `calculate_camera_affinity_matrix_jax` to enhance performance by leveraging JAX's capabilities, replacing the previous double-for-loop approach.
- Updated tests in `test_affinity.py` to include parameterized benchmarks for comparing the performance of the new vectorized method against the naive implementation, ensuring accuracy and efficiency.
- Added property-based tests for camera affinity calculations using Hypothesis, enhancing test coverage and reliability.
- Updated `.gitignore` to include `.hypothesis` directory.
- Added `hypothesis` and `pytest` as dependencies in `pyproject.toml` and `uv.lock` for improved testing capabilities.
- Refactored imports in `playground.py` to include `Sequence` and `Mapping` from `beartype.typing`.
- Introduced a new test file `tests/test_affinity.py` for structured testing of affinity calculations.
