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1.48 kB
| import pytest | |
| import numpy as np | |
| from openmusic_analysis.worker.preprocessing.audio import select_temporal_windows, aggregate_global_embedding | |
| def test_select_temporal_windows(): | |
| # Test short duration | |
| windows = select_temporal_windows(5.0) | |
| assert len(windows) == 1 | |
| assert windows[0] == (0, 5.0) | |
| # Test exact 10s duration | |
| windows = select_temporal_windows(10.0) | |
| assert len(windows) == 1 | |
| assert windows[0] == (0, 10.0) | |
| # Test longer duration | |
| windows = select_temporal_windows(15.0) | |
| assert len(windows) == 2 | |
| assert windows[0] == (0, 10.0) | |
| assert windows[1] == (5.0, 15.0) | |
| # Test max windows constraint (e.g. 24 chunks limit by config) | |
| windows = select_temporal_windows(300.0) | |
| assert len(windows) <= 24 | |
| def test_aggregate_global_embedding(): | |
| # Two identical embeddings should average out to same and remain normalized | |
| embs = [ | |
| np.array([1.0, 0.0, 0.0], dtype=np.float32), | |
| np.array([1.0, 0.0, 0.0], dtype=np.float32), | |
| ] | |
| global_emb = aggregate_global_embedding(embs) | |
| np.testing.assert_allclose(global_emb, [1.0, 0.0, 0.0]) | |
| # Orthogonal vectors should normalize to 1/sqrt(2) | |
| embs = [ | |
| np.array([1.0, 0.0], dtype=np.float32), | |
| np.array([0.0, 1.0], dtype=np.float32), | |
| ] | |
| global_emb = aggregate_global_embedding(embs) | |
| np.testing.assert_allclose(global_emb, [0.70710677, 0.70710677], rtol=1e-5) | |
| assert np.isclose(np.linalg.norm(global_emb), 1.0) | |