def __test(pattern):
ann = Annotation(namespace='pattern_jku')
ann.append(time=0, duration=1.0, value=pattern)
ann.append(time=1.0, duration=1.0, value=pattern)
ann.validate()
def test_ns_chord_roman_missing(key):
data = dict(tonic='E', chord='iv64')
del data[key]
ann = Annotation(namespace='chord_roman')
ann.append(time=0, duration=1.0, value=data)
ann.validate()
def __test(pattern):
ann = Annotation(namespace='pattern_jku')
ann.append(time=0, duration=1.0, value=pattern)
ann.append(time=1.0, duration=1.0, value=pattern)
ann.validate()
def __test(pitch):
ann = Annotation(namespace='pitch_class')
ann.append(time=0, duration=1.0, value=pitch)
ann.append(time=1.0, duration=1.0, value=pitch)
ann.validate()
def test_ns_tempo_valid():
ann = Annotation(namespace='tempo')
ann.append(time=0, duration=0, value=1, confidence=0.85)
ann.validate()
def test_ns_contour_invalid():
srand()
ann = Annotation(namespace='pitch_contour')
seq_len = 21
times = np.arange(seq_len)
durations = np.zeros(seq_len)
values = np.linspace(0, 22050, seq_len) # includes 0 (odd symmetric)
ids = np.arange(len(values)) // 4
voicing = np.random.randn(len(ids)) * 2
confidences = np.linspace(0, 1., seq_len)
confidences[seq_len // 2] = None # throw in a None confidence value
for (t, d, v, c, i, b) in zip(times, durations, values, confidences, ids,
voicing):
ann.append(time=t,
duration=d,
value={
'pitch': v,
'id': i,
'voiced': b
},
confidence=c)
ann.validate()
def __test(pitch):
ann = Annotation(namespace='pitch_class')
ann.append(time=0, duration=1.0, value=pitch)
ann.append(time=1.0, duration=1.0, value=pitch)
ann.validate()
def test_ns_mood_thayer_valid():
ann = Annotation(namespace='mood_thayer')
ann.append(time=0, duration=1.0, value=[0.3, 2.0])
ann.validate()
def test_ns_beat_position_missing(key):
data = dict(position=1, measure=1, num_beats=3, beat_units=4)
del data[key]
ann = Annotation(namespace='beat_position')
ann.append(time=0, duration=1.0, value=data)
ann.validate()
def test_ns_tempo_valid():
ann = Annotation(namespace='tempo')
ann.append(time=0, duration=0, value=1, confidence=0.85)
ann.validate()
def test_ns_pitch_class_invalid(key, value):
data = dict(tonic='E', pitch=7)
data[key] = value
ann = Annotation(namespace='pitch_class')
ann.append(time=0, duration=1.0, value=data)
ann.validate()
def test_ns_tag_cal10k(tag):
ann = Annotation(namespace='tag_cal10k')
ann.append(time=0, duration=1, value=tag)
ann.validate()
def test_ns_tag_msd_tagtraum_cd1(tag, confidence):
ann = Annotation(namespace='tag_msd_tagtraum_cd1')
ann.append(time=0, duration=1, value=tag, confidence=confidence)
ann.validate()
def test_ns_mood_thayer_valid():
ann = Annotation(namespace='mood_thayer')
ann.append(time=0, duration=1.0, value=[0.3, 2.0])
ann.validate()
def test_ns_time_valid():
ann = Annotation(namespace='onset')
for time in np.arange(5.0, 10.0):
ann.append(time=time, duration=0.0, value=None, confidence=None)
ann.validate()
def test_ns_beat_invalid():
ann = Annotation(namespace='beat')
for time in np.arange(5.0):
ann.append(time=time, duration=0.0, value='foo', confidence=None)
ann.validate()
def test_ns_chord_roman_invalid(key, value):
data = dict(tonic='E', chord='iv64')
data[key] = value
ann = Annotation(namespace='chord_roman')
ann.append(time=0, duration=1.0, value=data)
ann.validate()
def test_ns_time_valid():
ann = Annotation(namespace='onset')
for time in np.arange(5.0, 10.0):
ann.append(time=time, duration=0.0, value=None, confidence=None)
ann.validate()
def test_ns_beat_invalid():
ann = Annotation(namespace='beat')
for time in np.arange(5.0):
ann.append(time=time, duration=0.0, value='foo', confidence=None)
ann.validate()
def test_ns_time_invalid(time, duration):
ann = Annotation(namespace='onset')
# Bypass the safety checks in append
ann.data.add(
Observation(time=time, duration=duration, value=None, confidence=None))
ann.validate()
def test_ns_beat_position_valid():
ann = Annotation(namespace='beat_position')
ann.append(time=0,
duration=1.0,
value=dict(position=1, measure=1, num_beats=3, beat_units=4))
ann.validate()
def test_ns_beat_position_valid():
ann = Annotation(namespace='beat_position')
ann.append(time=0, duration=1.0, value=dict(position=1,
measure=1,
num_beats=3,
beat_units=4))
ann.validate()
def __test(data):
ann = Annotation(namespace='onset')
# Bypass the safety chceks in add_observation
ann.data.loc[0] = {'time': pd.to_timedelta(data['time'], unit='s'),
'duration': pd.to_timedelta(data['duration'],
unit='s'),
'value': None,
'confdence': None}
ann.validate()
def test_ns_pattern_invalid_bounded(key, value):
data = dict(midi_pitch=3,
morph_pitch=5,
staff=1,
pattern_id=1,
occurrence_id=1)
data[key] = value
ann = Annotation(namespace='pattern_jku')
ann.append(time=0, duration=1.0, value=data)
ann.validate()
def test_ns_beat_valid():
# A valid example
ann = Annotation(namespace='beat')
for time in np.arange(5.0):
ann.append(time=time, duration=0.0, value=1, confidence=None)
for time in np.arange(5.0, 10.0):
ann.append(time=time, duration=0.0, value=None, confidence=None)
ann.validate()
def __test(data):
ann = Annotation(namespace='onset')
# Bypass the safety chceks in add_observation
ann.data.loc[0] = {
'time': pd.to_timedelta(data['time'], unit='s'),
'duration': pd.to_timedelta(data['duration'], unit='s'),
'value': None,
'confdence': None
}
ann.validate()
def test_ns_beat_valid():
# A valid example
ann = Annotation(namespace='beat')
for time in np.arange(5.0):
ann.append(time=time, duration=0.0, value=1, confidence=None)
for time in np.arange(5.0, 10.0):
ann.append(time=time, duration=0.0, value=None, confidence=None)
ann.validate()
def test_ns_pitch_midi_valid():
ann = Annotation(namespace='pitch_midi')
seq_len = 21 # should be odd
times = np.arange(seq_len)
durations = np.zeros(seq_len)
values = np.linspace(-108., 108, seq_len) # includes 0 (odd symmetric)
confidences = np.linspace(0, 1., seq_len)
confidences[seq_len//2] = None # throw in a None confidence value
for (t, d, v, c) in zip(times, durations, values, confidences):
ann.append(time=t, duration=d, value=v, confidence=c)
ann.validate()
def test_ns_pitch_midi_valid():
ann = Annotation(namespace='pitch_midi')
seq_len = 21
times = np.arange(seq_len)
durations = np.zeros(seq_len)
values = np.linspace(-108., 108, seq_len) # includes 0 (odd symmetric)
confidences = np.linspace(0, 1., seq_len)
confidences[seq_len // 2] = None # throw in a None confidence value
for (t, d, v, c) in zip(times, durations, values, confidences):
ann.append(time=t, duration=d, value=v, confidence=c)
ann.validate()
def test_ns_scaper_source_file(source_file):
ann = Annotation(namespace='scaper')
value = {
"source_time": 0.0,
"event_duration": 0.5310546236891855,
"event_time": 5.6543442662431795,
"time_stretch": 0.8455598669219283,
"pitch_shift": -1.2204911976305648,
"snr": 7.790682558359417,
"label": "gun_shot",
"role": "foreground",
"source_file": source_file
}
ann.append(time=0, duration=1, value=value)
ann.validate()
def test_ns_scaper_snr(snr):
ann = Annotation(namespace='scaper')
value = {
"source_time": 0.0,
"event_duration": 0.5310546236891855,
"event_time": 5.6543442662431795,
"time_stretch": 0.8455598669219283,
"pitch_shift": -1.2204911976305648,
"snr": snr,
"label": 'gun_shot',
"role": "foreground",
"source_file": "/audio/foreground/gun_shot/135544-6-17-0.wav"
}
ann.append(time=0, duration=1, value=value)
ann.validate()
def test_segment_tag_open(segment):
ann = Annotation(namespace='segment_open')
ann.append(time=0, duration=1, value=segment)
ann.validate()
def __test(data):
ann = Annotation(namespace='onset')
ann.append(**data)
ann.validate()
def __test(value):
ann = Annotation(namespace='mood_thayer')
ann.append(time=0, duration=1.0, value=value)
ann.validate()
def __test(lyric):
ann = Annotation(namespace='lyrics')
ann.append(time=0, duration=1, value=lyric)
ann.validate()
def __test(value, confidence):
ann = Annotation(namespace='tempo')
ann.append(time=0, duration=0, value=value, confidence=confidence)
ann.validate()
def __test(label):
ann = Annotation(namespace='segment_salami_function')
ann.append(time=0, duration=1, value=label)
ann.validate()
def __test(value):
ann = Annotation(namespace='pitch_midi')
ann.append(time=0, duration=0, value=value, confidence=0.5)
ann.validate()
def __test(keymode):
ann = Annotation(namespace='key_mode')
ann.append(time=0, duration=0, value=keymode, confidence=None)
ann.validate()
def __test(chord):
ann = Annotation(namespace='chord_roman')
ann.append(time=0, duration=1.0, value=chord)
ann.validate()
def __test(tag):
ann = Annotation(namespace='tag_gtzan')
ann.append(time=0, duration=1, value=tag)
ann.validate()
def __test(tag, confidence=None):
ann = Annotation(namespace='tag_msd_tagtraum_cd2')
ann.append(time=0, duration=1, value=tag, confidence=confidence)
ann.validate()
def __test(tag):
ann = Annotation(namespace='tag_medleydb_instruments')
ann.append(time=0, duration=1, value=tag)
ann.validate()
def test_ns_segment_tut(label):
ann = Annotation(namespace='segment_tut')
ann.append(time=0, duration=1, value=label)
ann.validate()
def test_ns_vector(label):
ann = Annotation(namespace='vector')
ann.append(time=0, duration=1, value=label)
ann.validate()
def test_ns_multi_segment_bad():
ann = Annotation(namespace='multi_segment')
ann.append(time=0, duration=1, value='a string')
ann.validate()
def test_ns_blob(label):
ann = Annotation(namespace='blob')
ann.append(time=0, duration=1, value=label)
ann.validate()
def __test(value):
ann = Annotation(namespace='beat_position')
ann.append(time=0, duration=1.0, value=value)
ann.validate()
def test_ns_multi_segment(label, level):
ann = Annotation(namespace='multi_segment')
ann.append(time=0, duration=1, value=dict(label=label, level=level))
ann.validate()
def test_ns_tag_audioset_instruments(tag):
ann = Annotation(namespace='tag_audioset_instruments')
ann.append(time=0, duration=1, value=tag)
ann.validate()
def test_ns_lyrics_bow(label):
ann = Annotation(namespace='lyrics_bow')
ann.append(time=0, duration=1, value=label)
ann.validate()
def __test(label):
ann = Annotation(namespace='vector')
ann.append(time=0, duration=1, value=label)
ann.validate()
def test_ns_tag_fma_subgenre(tag):
ann = Annotation(namespace='tag_fma_subgenre')
ann.append(time=0, duration=1, value=tag)
ann.validate()
def __test(value):
ann = Annotation(namespace='multi_segment')
ann.append(time=0, duration=1, value=value)
ann.validate()