def test_load_keys():
default_trackid = "03_BN3-119-G_solo"
dataset = guitarset.Dataset(TEST_DATA_HOME)
track = dataset.track(default_trackid)
assert np.allclose(track.key_mode.intervals[:, 0], [0])
assert np.allclose(track.key_mode.intervals[:, 1], [2])
assert track.key_mode.keys == ["G:major"]
def test_load_contours():
default_trackid = "03_BN3-119-G_solo"
dataset = guitarset.Dataset(TEST_DATA_HOME)
track = dataset.track(default_trackid)
assert np.allclose(
track.pitch_contours["e"].times[:10],
[
0.7670358269999724,
0.7728408159999844,
0.778645804000007,
0.7844507929999054,
0.7902557819999174,
0.79606076999994,
0.801865758999952,
0.8076707479999641,
0.8134757359999867,
0.8192807249999987,
],
)
assert np.allclose(
track.pitch_contours["e"].frequencies[:10],
[
393.388,
393.301,
393.386,
393.348,
393.377,
393.389,
393.389,
393.351,
393.352,
393.37,
],
)
assert track.pitch_contours["e"].confidence is None
def test_to_jams():
default_trackid = "03_BN3-119-G_solo"
dataset = guitarset.Dataset("tests/resources/mir_datasets/guitarset")
track = dataset.track(default_trackid)
jam = track.to_jams()
assert type(jam) == jams.JAMS
def test_audio_hex_cln():
default_trackid = "03_BN3-119-G_solo"
dataset = guitarset.Dataset(TEST_DATA_HOME)
track = dataset.track(default_trackid)
y, sr = track.audio_hex_cln
assert sr == 44100
assert y.shape == (6, int(44100 * 0.5))
def test_load_chords():
default_trackid = "03_BN3-119-G_solo"
dataset = guitarset.Dataset(TEST_DATA_HOME)
track = dataset.track(default_trackid)
assert np.allclose(track.leadsheet_chords.intervals[:, 0], [0])
assert np.allclose(track.leadsheet_chords.intervals[:, 1], [2])
assert track.leadsheet_chords.labels == ["G:maj"]
assert np.allclose(track.inferred_chords.intervals[:, 0], [0])
assert np.allclose(track.inferred_chords.intervals[:, 1], [2])
assert track.inferred_chords.labels == ["G:maj7/1"]
def test_audio_mono():
default_trackid = "03_BN3-119-G_solo"
dataset = guitarset.Dataset(TEST_DATA_HOME)
track = dataset.track(default_trackid)
# test audio loading functions
y, sr = track.audio_mic
assert sr == 44100
assert y.shape == (44100 * 2,)
y, sr = track.audio_mix
assert sr == 44100
assert y.shape == (44100 * 2,)
def test_load_notes():
default_trackid = "03_BN3-119-G_solo"
dataset = guitarset.Dataset(TEST_DATA_HOME)
track = dataset.track(default_trackid)
assert np.allclose(
track.notes["e"].intervals[:, 0],
[0.7612308390022235, 1.5072852607709137, 1.7806185941042258],
)
assert np.allclose(
track.notes["e"].intervals[:, 1], [1.2604598639455844, 1.7336798185940552, 2.0]
)
assert np.allclose(
track.notes["e"].notes, [67.0576287044242, 71.03221526299762, 71.03297250121584]
)
assert track.notes["e"].confidence is None
def test_track():
default_trackid = "03_BN3-119-G_solo"
dataset = guitarset.Dataset(TEST_DATA_HOME)
track = dataset.track(default_trackid)
expected_attributes = {
"track_id": "03_BN3-119-G_solo",
"audio_hex_cln_path": "tests/resources/mir_datasets/guitarset/"
+ "audio_hex-pickup_debleeded/03_BN3-119-G_solo_hex_cln.wav",
"audio_hex_path": "tests/resources/mir_datasets/guitarset/"
+ "audio_hex-pickup_original/03_BN3-119-G_solo_hex.wav",
"audio_mic_path": "tests/resources/mir_datasets/guitarset/"
+ "audio_mono-mic/03_BN3-119-G_solo_mic.wav",
"audio_mix_path": "tests/resources/mir_datasets/guitarset/"
+ "audio_mono-pickup_mix/03_BN3-119-G_solo_mix.wav",
"jams_path": "tests/resources/mir_datasets/guitarset/"
+ "annotation/03_BN3-119-G_solo.jams",
"player_id": "03",
"tempo": 119,
"mode": "solo",
"style": "Bossa Nova",
}
expected_property_types = {
"beats": annotations.BeatData,
"leadsheet_chords": annotations.ChordData,
"inferred_chords": annotations.ChordData,
"key_mode": annotations.KeyData,
"pitch_contours": dict,
"notes": dict,
"audio_mic": tuple,
"audio_mix": tuple,
"audio_hex": tuple,
"audio_hex_cln": tuple,
}
run_track_tests(track, expected_attributes, expected_property_types)
assert track.pitch_contours["E"] is None
assert track.notes["E"] is None
assert isinstance(track.pitch_contours["e"], annotations.F0Data)
assert isinstance(track.notes["e"], annotations.NoteData)
def test_load_beats():
default_trackid = "03_BN3-119-G_solo"
dataset = guitarset.Dataset(TEST_DATA_HOME)
track = dataset.track(default_trackid)
assert np.allclose(track.beats.times, [0.50420168, 1.00840336, 1.51260504])
assert np.allclose(track.beats.positions, np.array([2, 3, 4]))
