# Copyright 2023 The Magenta Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for chord_inference.""" from absl.testing import absltest from note_seq import chord_inference from note_seq import sequences_lib from note_seq import testing_lib from note_seq.protobuf import music_pb2 CHORD_SYMBOL = music_pb2.NoteSequence.TextAnnotation.CHORD_SYMBOL class ChordInferenceTest(absltest.TestCase): def testSequenceNotePitchVectors(self): sequence = music_pb2.NoteSequence() testing_lib.add_track_to_sequence( sequence, 0, [(60, 100, 0.0, 0.0), (62, 100, 0.0, 0.5), (60, 100, 1.5, 2.5), (64, 100, 2.0, 2.5), (67, 100, 2.25, 2.75), (70, 100, 2.5, 4.5), (60, 100, 6.0, 6.0), ]) note_pitch_vectors = chord_inference.sequence_note_pitch_vectors( sequence, seconds_per_frame=1.0) expected_note_pitch_vectors = [ [0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.5, 0.0, 0.0, 0.0, 0.5, 0.0, 0.0, 0.5, 0.0, 0.0, 0.5, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ] self.assertEqual(expected_note_pitch_vectors, note_pitch_vectors.tolist()) def testSequenceNotePitchVectorsVariableLengthFrames(self): sequence = music_pb2.NoteSequence() testing_lib.add_track_to_sequence( sequence, 0, [(60, 100, 0.0, 0.0), (62, 100, 0.0, 0.5), (60, 100, 1.5, 2.5), (64, 100, 2.0, 2.5), (67, 100, 2.25, 2.75), (70, 100, 2.5, 4.5), (60, 100, 6.0, 6.0), ]) note_pitch_vectors = chord_inference.sequence_note_pitch_vectors( sequence, seconds_per_frame=[1.5, 2.0, 3.0, 5.0]) expected_note_pitch_vectors = [ [0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.5, 0.0, 0.0, 0.0, 0.5, 0.0, 0.0, 0.5, 0.0, 0.0, 0.5, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], ] self.assertEqual(expected_note_pitch_vectors, note_pitch_vectors.tolist()) def testInferChordsForSequence(self): sequence = music_pb2.NoteSequence() testing_lib.add_track_to_sequence( sequence, 0, [(60, 100, 0.0, 1.0), (64, 100, 0.0, 1.0), (67, 100, 0.0, 1.0), # C (62, 100, 1.0, 2.0), (65, 100, 1.0, 2.0), (69, 100, 1.0, 2.0), # Dm (60, 100, 2.0, 3.0), (65, 100, 2.0, 3.0), (69, 100, 2.0, 3.0), # F (59, 100, 3.0, 4.0), (62, 100, 3.0, 4.0), (67, 100, 3.0, 4.0)]) # G quantized_sequence = sequences_lib.quantize_note_sequence( sequence, steps_per_quarter=4) chord_inference.infer_chords_for_sequence( quantized_sequence, chords_per_bar=2) expected_chords = [('C', 0.0), ('Dm', 1.0), ('F', 2.0), ('G', 3.0)] chords = [(ta.text, ta.time) for ta in quantized_sequence.text_annotations] self.assertEqual(expected_chords, chords) def testInferChordsForSequenceAddKeySignatures(self): sequence = music_pb2.NoteSequence() testing_lib.add_track_to_sequence( sequence, 0, [(60, 100, 0.0, 1.0), (64, 100, 0.0, 1.0), (67, 100, 0.0, 1.0), # C (62, 100, 1.0, 2.0), (65, 100, 1.0, 2.0), (69, 100, 1.0, 2.0), # Dm (60, 100, 2.0, 3.0), (65, 100, 2.0, 3.0), (69, 100, 2.0, 3.0), # F (59, 100, 3.0, 4.0), (62, 100, 3.0, 4.0), (67, 100, 3.0, 4.0), # G (66, 100, 4.0, 5.0), (70, 100, 4.0, 5.0), (73, 100, 4.0, 5.0), # F# (68, 100, 5.0, 6.0), (71, 100, 5.0, 6.0), (75, 100, 5.0, 6.0), # G#m (66, 100, 6.0, 7.0), (71, 100, 6.0, 7.0), (75, 100, 6.0, 7.0), # B (65, 100, 7.0, 8.0), (68, 100, 7.0, 8.0), (73, 100, 7.0, 8.0)]) # C# quantized_sequence = sequences_lib.quantize_note_sequence( sequence, steps_per_quarter=4) chord_inference.infer_chords_for_sequence( quantized_sequence, chords_per_bar=2, add_key_signatures=True) expected_key_signatures = [(0, 0.0), (6, 4.0)] key_signatures = [(ks.key, ks.time) for ks in quantized_sequence.key_signatures] self.assertEqual(expected_key_signatures, key_signatures) def testInferChordsForSequenceWithBeats(self): sequence = music_pb2.NoteSequence() testing_lib.add_track_to_sequence( sequence, 0, [(60, 100, 0.0, 1.1), (64, 100, 0.0, 1.1), (67, 100, 0.0, 1.1), # C (62, 100, 1.1, 1.9), (65, 100, 1.1, 1.9), (69, 100, 1.1, 1.9), # Dm (60, 100, 1.9, 3.0), (65, 100, 1.9, 3.0), (69, 100, 1.9, 3.0), # F (59, 100, 3.0, 4.5), (62, 100, 3.0, 4.5), (67, 100, 3.0, 4.5)]) # G testing_lib.add_beats_to_sequence(sequence, [0.0, 1.1, 1.9, 1.9, 3.0]) chord_inference.infer_chords_for_sequence(sequence) expected_chords = [('C', 0.0), ('Dm', 1.1), ('F', 1.9), ('G', 3.0)] chords = [(ta.text, ta.time) for ta in sequence.text_annotations if ta.annotation_type == CHORD_SYMBOL] self.assertEqual(expected_chords, chords) if __name__ == '__main__': absltest.main()