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| """ assert_fn.py """ | |
| import numpy as np | |
| def assert_notes_almost_equal(actual_notes, predicted_notes, delta=5e-3): | |
| """ | |
| Asserts that the given lists of Note instances are equal up to a small | |
| floating-point tolerance, similar to `assertAlmostEqual` of `unittest`. | |
| Tolerance is 5e-3 by default, which is 5 ms for 100 ticks-per-second. | |
| """ | |
| assert len(actual_notes) == len(predicted_notes) | |
| for actual_note, predicted_note in zip(actual_notes, predicted_notes): | |
| assert abs(actual_note.onset - predicted_note.onset) < delta | |
| assert abs(actual_note.offset - predicted_note.offset) < delta | |
| assert actual_note.pitch == predicted_note.pitch | |
| if actual_note.is_drum is False and predicted_note.is_drum is False: | |
| assert actual_note.program == predicted_note.program | |
| assert actual_note.is_drum == predicted_note.is_drum | |
| assert actual_note.velocity == predicted_note.velocity | |
| def assert_note_events_almost_equal(actual_note_events, | |
| predicted_note_events, | |
| ignore_time=False, | |
| ignore_activity=True, | |
| delta=5.1e-3): | |
| """ | |
| Asserts that the given lists of Note instances are equal up to a small | |
| floating-point tolerance, similar to `assertAlmostEqual` of `unittest`. | |
| Tolerance is 5e-3 by default, which is 5 ms for 100 ticks-per-second. | |
| If `ignore_time` is True, then the time field is ignored. (useful for | |
| comparing tie note events, default is False) | |
| If `ignore_activity` is True, then the activity field is ignored (default | |
| is True). | |
| """ | |
| assert len(actual_note_events) == len(predicted_note_events) | |
| for j, (actual_note_event, | |
| predicted_note_event) in enumerate(zip(actual_note_events, predicted_note_events)): | |
| if ignore_time is False: | |
| assert abs(actual_note_event.time - predicted_note_event.time) <= delta | |
| assert actual_note_event.is_drum == predicted_note_event.is_drum | |
| if actual_note_event.is_drum is False and predicted_note_event.is_drum is False: | |
| assert actual_note_event.program == predicted_note_event.program | |
| assert actual_note_event.pitch == predicted_note_event.pitch | |
| assert actual_note_event.velocity == predicted_note_event.velocity | |
| if ignore_activity is False: | |
| assert actual_note_event.activity == predicted_note_event.activity | |
| def assert_track_metrics_score1(metrics) -> None: | |
| for k, v in metrics.items(): | |
| if np.isnan(v) is False: | |
| assert v == 1.0 | |