def test_default(self):
activations = np.array([[0.0, 1.0, 1.0, 0.4], [0.5, 0.9, 0.9, 0.7],
[1.0, 0.8, 0.8, 0.8]])
mtrack = MultiTrack('Phoenix_ScotchMorris')
stem_idx_list = [1, 2, 3]
A.write_activations_to_csv(mtrack, activations, stem_idx_list)
self.assertTrue(os.path.exists(mtrack.activation_conf_fpath))
os.remove(mtrack.activation_conf_fpath)
def setUp(self):
self.mtrack = MultiTrack("TablaBreakbeatScience_Animoog")
self.melody1 = np.array([[0.0, 0.0], [1.0, 440.0], [2.0, 450.0],
[3.0, 460.0], [4.0, 0.0]])
self.melody2 = np.array([[0.0, 430.0], [1.0, 440.0], [2.0, 450.0],
[3.0, 460.0], [4.0, 0.0]])
self.melody3 = np.array([[0.0, 0.0, 120.0], [1.0, 440.0, 0.0],
[2.0, 450.0, 0.0], [3.0, 460.0, 234.1],
[4.0, 0.0, 123.1]])
def test_defaults(self):
mtrack = MultiTrack('LizNelson_Rainfall')
C, actual_index = A.compute_activation_confidence(mtrack)
actual_shape = C.shape
expected_shape = (6135, 6)
self.assertEqual(expected_shape, actual_shape)
expected_index = [1, 2, 3, 4, 5]
self.assertEqual(expected_index, actual_index)
def test_rankings(self):
for track in self.track_list:
mtrack = MultiTrack(track)
rankings = list(mtrack.melody_rankings.values())
# test that there are no duplicate rankings
self.assertTrue(len(rankings) == len(set(rankings)))
# test that rankings start at 1 and go up by step
self.assertTrue(
sorted(rankings) == list(range(1,
len(rankings) + 1)))
def test_make_mtrack_basedir(self):
mtrack = MultiTrack('MusicDelta_Rock')
if os.path.exists(mtrack.audio_path):
shutil.rmtree(mtrack.audio_path)
self.assertFalse(os.path.exists(mtrack.audio_path))
self.assertFalse(os.path.exists(mtrack._stem_dir_path))
self.assertFalse(os.path.exists(mtrack._raw_dir_path))
download.make_mtrack_basedir(mtrack)
self.assertTrue(os.path.exists(mtrack.audio_path))
self.assertTrue(os.path.exists(mtrack._stem_dir_path))
self.assertTrue(os.path.exists(mtrack._raw_dir_path))
def test_melody_annotations(self):
for track in self.track_list:
mtrack = MultiTrack(track)
if not mtrack.has_melody or mtrack.duration is None:
continue
generated_melody1 = G.create_melody1_annotation(mtrack)
actual_melody1 = mtrack.melody1_annotation
self.assertTrue(
array_almost_equal(actual_melody1, generated_melody1))
generated_melody2 = G.create_melody2_annotation(mtrack)
actual_melody2 = mtrack.melody2_annotation
self.assertTrue(
array_almost_equal(actual_melody2, generated_melody2))
generated_melody3 = G.create_melody3_annotation(mtrack)
actual_melody3 = mtrack.melody3_annotation
self.assertTrue(
array_almost_equal(actual_melody3, generated_melody3))
def setUp(self):
self.mtrack = MultiTrack("MusicDelta_Beethoven")
self.mtrack.duration = 27.371
self.mtrack_nomel = MultiTrack("TablaBreakbeatScience_Animoog")
def test_sourceid_names(self):
for track in self.track_list:
mtrack = MultiTrack(track)
print(mtrack.source_id_fpath)
self.assertTrue(os.path.exists(mtrack.source_id_fpath))
def test_activation_conf_names(self):
for track in self.track_list:
mtrack = MultiTrack(track)
if not mtrack.has_bleed:
self.assertTrue(os.path.exists(mtrack.activation_conf_fpath))
def test_existing(self):
mtrack = MultiTrack('LizNelson_Rainfall')
download.download_stem(mtrack, 1)
self.assertTrue(os.path.exists(mtrack.stems[1].audio_path))
def test_not_in_tracklist(self):
mtrack = MultiTrack('MusicDelta_Beethoven')
mtrack.dataset_version = 'asdf'
with self.assertRaises(IOError):
download.download_mix(mtrack)
def test_existing(self):
mtrack = MultiTrack('LizNelson_Rainfall')
download.download_mix(mtrack)
self.assertTrue(os.path.exists(mtrack.mix_path))
def test_existing(self):
mtrack = MultiTrack('LizNelson_Rainfall')
download._download_metadata(mtrack.track_id, mtrack.dataset_version)
self.assertTrue(os.path.exists(mtrack.mix_path))