def test_events():
event_data1 = [
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 0.4]]),
["event A", "event B"],
),
"I am a description",
)
]
event_data2 = [
(
annotations.EventData(np.array([[0.2, 0.3], [0.3, 0.4]]), ["2", "event B"]),
"events 1",
),
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 0.4]]),
["", "a great label"],
),
"events 2",
),
]
event_data3 = [
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 20.0]]), # invalid because > duration
["", "a great label"],
),
"asdf",
)
]
event_data4 = ("jazz", "wrong format")
event_data5 = ["wrong format too"]
event_data6 = [("wrong", "description")]
jam1 = jams_utils.jams_converter(
event_data=event_data1, metadata={"duration": 10.0}
)
assert jam1.validate()
jam2 = jams_utils.jams_converter(
event_data=event_data2, metadata={"duration": 10.0}
)
jam3 = jams_utils.jams_converter(
event_data=event_data3, metadata={"duration": 10.0}
)
with pytest.raises(TypeError):
jams_utils.jams_converter(event_data=event_data4)
with pytest.raises(TypeError):
jams_utils.jams_converter(event_data=event_data5)
with pytest.raises(TypeError):
jams_utils.jams_converter(event_data=event_data6)
def load_phrases(phrases_path):
"""Load phrases
Args:
phrases_path (str): Local path where the phrase annotation is stored.
If `None`, returns None.
Returns:
EventData: phrases annotation for track
"""
if phrases_path is None:
return None
if not os.path.exists(phrases_path):
raise IOError("phrases_path {} does not exist".format(phrases_path))
start_times = []
end_times = []
events = []
with open(phrases_path, "r") as fhandle:
reader = csv.reader(fhandle, delimiter="\t")
for line in reader:
start_times.append(float(line[0]))
end_times.append(float(line[0]) + float(line[2]))
if len(line) == 4:
events.append(str(line[3].split("\n")[0]))
else:
events.append("")
if not start_times:
return None
return annotations.EventData(np.array([start_times, end_times]).T, events)
def load_vocal_activity(vocal_activity_path):
"""Load rwc vocal activity data from a file
Args:
vocal_activity_path (str): path to vocal activity annotation file
Returns:
EventData: vocal activity data
"""
if not os.path.exists(vocal_activity_path):
raise IOError("vocal_activity_path {} does not exist".format(
vocal_activity_path))
begs = [] # timestamps of vocal-instrument activity beginnings
ends = [] # timestamps of vocal-instrument activity endings
events = [] # vocal-instrument activity labels
with open(vocal_activity_path, "r") as fhandle:
reader = csv.reader(fhandle, delimiter="\t")
raw_data = []
for line in reader:
if line[0] != "Piece No.":
raw_data.append(line)
for i in range(len(raw_data)):
# Parsing vocal-instrument activity as intervals (beg, end, event)
if raw_data[i] != raw_data[-1]:
begs.append(float(raw_data[i][0]))
ends.append(float(raw_data[i + 1][0]))
events.append(raw_data[i][1])
return annotations.EventData(np.array([begs, ends]).T, events)
def load_vocal_activity(fhandle: TextIO) -> annotations.EventData:
"""Load rwc vocal activity data from a file
Args:
fhandle (str or file-like): File-like object or path to vocal activity annotation file
Returns:
EventData: vocal activity data
"""
begs = [] # timestamps of vocal-instrument activity beginnings
ends = [] # timestamps of vocal-instrument activity endings
events = [] # vocal-instrument activity labels
reader = csv.reader(fhandle, delimiter="\t")
raw_data = []
for line in reader:
if line[0] != "Piece No.":
raw_data.append(line)
for i in range(len(raw_data)):
# Parsing vocal-instrument activity as intervals (beg, end, event)
if raw_data[i] != raw_data[-1]:
begs.append(float(raw_data[i][0]))
ends.append(float(raw_data[i + 1][0]))
events.append(raw_data[i][1])
return annotations.EventData(np.array([begs, ends]).T, events)
def load_annotation(fhandle: TextIO) -> Optional[annotations.EventData]:
# -- because of the decorator, the file is already open
reader = csv.reader(fhandle, delimiter=' ')
intervals = []
annotation = []
for line in reader:
intervals.append([float(line[0]), float(line[1])])
annotation.append(line[2])
annotation_data = annotations.EventData(np.array(intervals),
np.array(annotation))
return annotation_data
def load_annotation(fhandle):
# -- if there are some file paths for this annotation type in this dataset's
# -- index that are None/null, uncomment the lines below.
# if annotation_path is None:
# return None
reader = csv.reader(fhandle, delimiter=' ')
intervals = []
annotation = []
for line in reader:
intervals.append([float(line[0]), float(line[1])])
annotation.append(line[2])
annotation_data = annotations.EventData(np.array(intervals),
np.array(annotation))
return annotation_data
def load_syllable(fhandle: TextIO) -> annotations.EventData:
"""Load syllable
Args:
fhandle (str or file-like): path or file-like object pointing to a syllable annotation file
Returns:
EventData: syllable annotation
"""
start_times = []
end_times = []
events = []
reader = csv.reader(fhandle, delimiter="\t")
for line in reader:
start_times.append(float(line[0]))
end_times.append(float(line[1]))
events.append(line[2] if line[2] != "sil" else "")
return annotations.EventData(np.array([start_times, end_times]).T, events)
def load_annotation(annotation_path):
# -- if there are some file paths for this annotation type in this dataset's
# -- index that are None/null, uncomment the lines below.
# if annotation_path is None:
# return None
if not os.path.exists(annotation_path):
raise IOError(
"annotation_path {} does not exist".format(annotation_path))
with open(annotation_path, 'r') as fhandle:
reader = csv.reader(fhandle, delimiter=' ')
intervals = []
annotation = []
for line in reader:
intervals.append([float(line[0]), float(line[1])])
annotation.append(line[2])
annotation_data = annotations.EventData(np.array(intervals),
np.array(annotation))
return annotation_data
def load_drum_events(midi_path, midi=None):
"""Load drum events from the midi file.
Args:
midi_path (str): path to midi file
midi (pretty_midi.PrettyMIDI): pre-loaded midi object or None
if None, the midi object is loaded using midi_path
Returns:
annotations.EventData: drum event data
"""
if midi is None:
midi = load_midi(midi_path)
start_times = []
end_times = []
events = []
for note in midi.instruments[0].notes:
start_times.append(note.start)
end_times.append(note.end)
events.append(DRUM_MAPPING[note.pitch]["Roland"])
return annotations.EventData(np.array([start_times, end_times]).T, events)
def test_f0s():
f0_data_1 = [
(
annotations.F0Data(
np.array([0.016, 0.048]), np.array([0.0, 260.9]), np.array([0.0, 1.0])
),
None,
)
]
f0_data_2 = [
(
annotations.F0Data(
np.array([0.016, 0.048]), np.array([0.0, 260.9]), np.array([0.0, 1.0])
),
"f0s_1",
)
]
f0_data_3 = [
(
annotations.F0Data(
np.array([0.016, 0.048]), np.array([0.0, 260.9]), np.array([0.0, 1.0])
),
"f0s_1",
),
(
annotations.F0Data(
np.array([0.003, 0.012]), np.array([0.0, 230.5]), np.array([0.0, 1.0])
),
"f0s_2",
),
]
f0_data_4 = (
annotations.F0Data(
np.array([0.016, 0.048]), np.array([0.0, 260.9]), np.array([0.0, 1.0])
),
"f0s_1",
)
f0_data_5 = [
[
annotations.F0Data(
np.array([0.016, 0.048]), np.array([0.0, 260.9]), np.array([0.0, 1.0])
),
"f0s_1",
],
(
annotations.F0Data(
np.array([0.003, 0.012]), np.array([0.0, 230.5]), np.array([0.0, 1.0])
),
"f0s_2",
),
]
f0_data_6 = [(None, None)]
f0_data_7 = [
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 0.4]]).T,
["event A", "event B"],
),
None,
)
]
jam_1 = jams_utils.jams_converter(f0_data=f0_data_1)
jam_2 = jams_utils.jams_converter(f0_data=f0_data_2)
jam_3 = jams_utils.jams_converter(f0_data=f0_data_3)
jam_6 = jams_utils.jams_converter(f0_data=f0_data_6)
time, duration, value, confidence = get_jam_data(jam_1, "pitch_contour", 0)
assert time == [0.016, 0.048]
assert duration == [0.0, 0.0]
assert value == [
{"frequency": 0.0, "index": 0, "voiced": False},
{"frequency": 260.9, "index": 0, "voiced": True},
]
assert confidence == [0.0, 1.0]
assert jam_2.annotations[0]["sandbox"]["name"] == "f0s_1"
time, duration, value, confidence = get_jam_data(jam_3, "pitch_contour", 0)
assert time == [0.016, 0.048]
assert duration == [0.0, 0.0]
assert value == [
{"frequency": 0.0, "index": 0, "voiced": False},
{"frequency": 260.9, "index": 0, "voiced": True},
]
assert confidence == [0.0, 1.0]
time, duration, value, confidence = get_jam_data(jam_3, "pitch_contour", 1)
assert time == [0.003, 0.012]
assert duration == [0.0, 0.0]
assert value == [
{"frequency": 0.0, "index": 0, "voiced": False},
{"frequency": 230.5, "index": 0, "voiced": True},
]
assert confidence == [0.0, 1.0]
time, duration, value, confidence = get_jam_data(jam_6, "pitch_contour", 0)
assert time == []
assert duration == []
assert value == []
assert confidence == []
assert type(jam_1) == jams.JAMS
with pytest.raises(TypeError):
jams_utils.jams_converter(f0_data=f0_data_4)
with pytest.raises(TypeError):
jams_utils.jams_converter(f0_data=f0_data_5)
with pytest.raises(TypeError):
jams_utils.jams_converter(f0_data=f0_data_7)
def test_notes():
note_data_1 = [
(
annotations.NoteData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
np.array([1108.731, 1108.731, 1108.731]),
np.array([1.0, 1.0, 1.0]),
),
None,
)
]
note_data_2 = [
(
annotations.NoteData(
np.array([[0.0, 0.8, 1.0], [0.5, 1.0, 1.5]]).T,
np.array([1108.731, 1108.731, 1108.731]),
np.array([1.0, 1.0, 1.0]),
),
"notes_2",
)
]
note_data_3 = [
(
annotations.NoteData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
np.array([1108.731, 1108.731, 1108.731]),
np.array([1.0, 1.0, 1.0]),
),
"notes_1",
),
(
annotations.NoteData(
np.array([[0.0, 0.7, 1.0], [0.7, 1.0, 1.5]]).T,
np.array([1108.731, 1108.731, 1108.731]),
np.array([1.0, 1.0, 1.0]),
),
"notes_2",
),
]
note_data_4 = (
annotations.NoteData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
np.array([1108.731, 1108.731, 1108.731]),
np.array([1.0, 1.0, 1.0]),
),
None,
)
note_data_5 = [
[
annotations.NoteData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
np.array([1108.731, 1108.731, 1108.731]),
np.array([1.0, 1.0, 1.0]),
),
None,
],
(
annotations.NoteData(
np.array([[0.0, 0.8, 1.0], [0.5, 1.0, 1.5]]).T,
np.array([1108.731, 1108.731, 1108.731]),
np.array([1.0, 1.0, 1.0]),
),
"notes_2",
),
]
note_data_6 = [(None, None)]
note_data_7 = [
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 0.4]]).T,
["event A", "event B"],
),
None,
)
]
jam_1 = jams_utils.jams_converter(note_data=note_data_1)
jam_2 = jams_utils.jams_converter(note_data=note_data_2)
jam_3 = jams_utils.jams_converter(note_data=note_data_3)
jam_6 = jams_utils.jams_converter(note_data=note_data_6)
time, duration, value, confidence = get_jam_data(jam_1, "note_hz", 0)
assert time == [0.0, 0.5, 1.0]
assert duration == [0.5, 0.5, 0.5]
assert value == [1108.731, 1108.731, 1108.731]
assert confidence == [None, None, None]
assert jam_2.annotations[0]["sandbox"]["name"] == "notes_2"
time, duration, value, confidence = get_jam_data(jam_3, "note_hz", 0)
assert time == [0.0, 0.5, 1.0]
assert duration == [0.5, 0.5, 0.5]
assert value == [1108.731, 1108.731, 1108.731]
assert confidence == [None, None, None]
time, duration, value, confidence = get_jam_data(jam_3, "note_hz", 1)
assert time == [0.0, 0.7, 1.0]
assert duration == [0.7, 0.3, 0.5]
assert value == [1108.731, 1108.731, 1108.731]
assert confidence == [None, None, None]
time, duration, value, confidence = get_jam_data(jam_6, "note_hz", 0)
assert time == []
assert duration == []
assert value == []
assert confidence == []
assert type(jam_1) == jams.JAMS
with pytest.raises(TypeError):
jams_utils.jams_converter(note_data=note_data_4)
with pytest.raises(TypeError):
jams_utils.jams_converter(note_data=note_data_5)
with pytest.raises(TypeError):
jams_utils.jams_converter(note_data=note_data_7)
def test_event_data():
intervals = np.array([[1.0, 2.0], [1.5, 3.0], [2.0, 3.0]])
events = ["E:m", "A", "G:7"]
event_data = annotations.EventData(intervals, events)
assert np.allclose(event_data.intervals, intervals)
assert event_data.events == events
def test_chords():
chord_data_1 = [
(
annotations.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
["A", "A", "E"],
),
None,
)
]
chord_data_2 = [
(
annotations.ChordData(
np.array([[0.0, 0.8, 1.0], [0.5, 1.0, 1.5]]).T,
["A", "B", "C"],
),
"chords_2",
)
]
chord_data_3 = [
(
annotations.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
["A", "A", "E"],
),
"chords_1",
),
(
annotations.ChordData(
np.array([[0.0, 0.7, 1.0], [0.7, 1.0, 1.5]]).T,
["A", "B", "C"],
),
"chords_2",
),
]
chord_data_4 = (
annotations.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T, ["A", "A", "E"]
),
None,
)
chord_data_5 = [
[
annotations.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
["A", "A", "E"],
),
None,
],
(
annotations.ChordData(
np.array([[0.0, 0.8, 1.0], [0.5, 1.0, 1.5]]).T,
["A", "B", "C"],
),
"chords_2",
),
]
chord_data_6 = [(None, None)]
chord_data_7 = [
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 0.4]]).T,
["event A", "event B"],
),
None,
)
]
jam_1 = jams_utils.jams_converter(chord_data=chord_data_1)
jam_2 = jams_utils.jams_converter(chord_data=chord_data_2)
jam_3 = jams_utils.jams_converter(chord_data=chord_data_3)
jam_6 = jams_utils.jams_converter(chord_data=chord_data_6)
time, duration, value, confidence = get_jam_data(jam_1, "chord", 0)
assert time == [0.0, 0.5, 1.0]
assert duration == [0.5, 0.5, 0.5]
assert value == ["A", "A", "E"]
assert confidence == [None, None, None]
assert jam_2.annotations[0]["sandbox"]["name"] == "chords_2"
time, duration, value, confidence = get_jam_data(jam_3, "chord", 0)
assert time == [0.0, 0.5, 1.0]
assert duration == [0.5, 0.5, 0.5]
assert value == ["A", "A", "E"]
assert confidence == [None, None, None]
time, duration, value, confidence = get_jam_data(jam_3, "chord", 1)
assert time == [0.0, 0.7, 1.0]
assert duration == [0.7, 0.3, 0.5]
assert value == ["A", "B", "C"]
assert confidence == [None, None, None]
time, duration, value, confidence = get_jam_data(jam_6, "chord", 0)
assert time == []
assert duration == []
assert value == []
assert confidence == []
assert type(jam_1) == jams.JAMS
with pytest.raises(TypeError):
jams_utils.jams_converter(chord_data=chord_data_4)
with pytest.raises(TypeError):
jams_utils.jams_converter(chord_data=chord_data_5)
with pytest.raises(TypeError):
jams_utils.jams_converter(chord_data=chord_data_7)
def test_lyrics():
lyrics_data_1 = [
(
annotations.LyricData(
np.array([[0.027, 0.232], [0.227, 0.742]]).T,
["The", "Test"],
["", ""],
),
None,
)
]
lyrics_data_2 = [
(
annotations.LyricData(
np.array([[0.027, 0.232], [0.227, 0.742]]).T,
["The", "Test"],
["", ""],
),
"lyrics_1",
)
]
lyrics_data_3 = [
(
annotations.LyricData(
np.array([[0.027, 0.232], [0.227, 0.742]]).T,
["The", "Test"],
["", ""],
),
"lyrics_1",
),
(
annotations.LyricData(
np.array([[0.0, 0.232], [0.227, 0.742]]).T,
["is", "cool"],
["", ""],
),
"lyrics_2",
),
]
lyrics_data_4 = (
annotations.LyricData(
np.array([[0.027, 0.232], [0.227, 0.742]]).T,
["The", "Test"],
["", ""],
),
"lyrics_1",
)
lyrics_data_5 = [
(
annotations.LyricData(
np.array([[0.027, 0.232], [0.227, 0.742]]).T,
["The", "Test"],
["", ""],
),
"lyrics_1",
),
[
annotations.LyricData(
np.array([[0.0, 0.232], [0.227, 0.742]]).T,
["is", "cool"],
["", ""],
),
"lyrics_2",
],
]
lyrics_data_6 = [(None, None)]
lyrics_data_7 = [
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 0.4]]).T,
["event A", "event B"],
),
None,
)
]
jam_1 = jams_utils.jams_converter(lyrics_data=lyrics_data_1)
jam_2 = jams_utils.jams_converter(lyrics_data=lyrics_data_2)
jam_3 = jams_utils.jams_converter(lyrics_data=lyrics_data_3)
jam_6 = jams_utils.jams_converter(lyrics_data=lyrics_data_6)
time, duration, value, confidence = get_jam_data(jam_1, "lyrics", 0)
assert time == [0.027, 0.232]
assert duration == [0.2, 0.51]
assert value == ["The", "Test"]
assert confidence == [None, None]
assert jam_2.annotations[0]["sandbox"]["name"] == "lyrics_1"
time, duration, value, confidence = get_jam_data(jam_3, "lyrics", 0)
assert time == [0.027, 0.232]
assert duration == [0.2, 0.51]
assert value == ["The", "Test"]
assert confidence == [None, None]
time, duration, value, confidence = get_jam_data(jam_3, "lyrics", 1)
assert time == [0.0, 0.232]
assert duration == [0.227, 0.51]
assert value == ["is", "cool"]
assert confidence == [None, None]
time, duration, value, confidence = get_jam_data(jam_6, "lyrics", 0)
assert time == []
assert duration == []
assert value == []
assert confidence == []
assert type(jam_1) == jams.JAMS
with pytest.raises(TypeError):
jams_utils.jams_converter(lyrics_data=lyrics_data_4)
with pytest.raises(TypeError):
jams_utils.jams_converter(lyrics_data=lyrics_data_5)
with pytest.raises(TypeError):
jams_utils.jams_converter(lyrics_data=lyrics_data_7)
def test_keys():
key_data_1 = [(annotations.KeyData(np.array([[0.0], [100.0]]).T, ["A"]), None)]
key_data_2 = [(annotations.KeyData(np.array([[0.0], [100.0]]).T, ["A"]), "keys_1")]
key_data_3 = [
(annotations.KeyData(np.array([[0.0], [100.0]]).T, ["A"]), "keys_1"),
(annotations.KeyData(np.array([[0.0], [50.0]]).T, ["B"]), "keys_2"),
]
key_data_4 = (
annotations.KeyData(np.array([[0.0], [100.0]]).T, ["A"]),
"keys_1",
)
key_data_5 = [
[annotations.KeyData(np.array([[0.0], [100.0]]).T, ["A"]), "keys_1"],
(annotations.KeyData(np.array([[0.0], [50.0]]).T, ["B"]), "keys_2"),
]
key_data_6 = [(None, None)]
key_data_7 = [
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 0.4]]).T,
["event A", "event B"],
),
None,
)
]
jam_1 = jams_utils.jams_converter(key_data=key_data_1)
jam_2 = jams_utils.jams_converter(key_data=key_data_2)
jam_3 = jams_utils.jams_converter(key_data=key_data_3)
jam_6 = jams_utils.jams_converter(key_data=key_data_6)
time, duration, value, confidence = get_jam_data(jam_1, "key", 0)
assert time == [0.0]
assert duration == [100.0]
assert value == ["A"]
assert confidence == [None]
assert jam_2.annotations[0]["sandbox"]["name"] == "keys_1"
time, duration, value, confidence = get_jam_data(jam_3, "key", 0)
assert time == [0.0]
assert duration == [100.0]
assert value == ["A"]
assert confidence == [None]
time, duration, value, confidence = get_jam_data(jam_3, "key", 1)
assert time == [0.0]
assert duration == [50.0]
assert value == ["B"]
assert confidence == [None]
time, duration, value, confidence = get_jam_data(jam_6, "key", 0)
assert time == []
assert duration == []
assert value == []
assert confidence == []
assert type(jam_1) == jams.JAMS
with pytest.raises(TypeError):
jams_utils.jams_converter(key_data=key_data_4)
with pytest.raises(TypeError):
jams_utils.jams_converter(key_data=key_data_5)
with pytest.raises(TypeError):
jams_utils.jams_converter(key_data=key_data_7)
def test_multi_sections():
multi_section_data_1 = [
(
[
(
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
None,
),
(
annotations.SectionData(
np.array([[0.0, 15.0, 20.0], [15.0, 20.0, 25.0]]).T,
["verse a", "verse b", "verse a"],
),
None,
),
],
None,
)
]
multi_section_data_2 = [
(
[
(
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
0,
),
(
annotations.SectionData(
np.array([[0.0, 15.0, 20.0], [15.0, 20.0, 25.0]]).T,
["verse a", "verse b", "verse a"],
),
1,
),
],
"annotator_1",
)
]
multi_section_data_3 = [
(
[
(
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
0,
),
(
annotations.SectionData(
np.array([[0.0, 15.0, 20.0], [15.0, 20.0, 25.0]]).T,
["verse a", "verse b", "verse a"],
),
1,
),
],
"annotator_1",
),
(
[
(
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
0,
),
(
annotations.SectionData(
np.array([[0.0, 15.0, 20.0], [15.0, 20.0, 25.0]]).T,
["verse a", "verse b", "verse a"],
),
1,
),
],
"annotator_2",
),
]
multi_section_data_4 = (
[
(
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
None,
),
(
annotations.SectionData(
np.array([[0.0, 15.0, 20.0], [15.0, 20.0, 25.0]]).T,
["verse a", "verse b", "verse a"],
),
None,
),
],
None,
)
multi_section_data_5 = [
[
[
(
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
None,
),
(
annotations.SectionData(
np.array([[0.0, 15.0, 20.0], [15.0, 20.0, 25.0]]).T,
["verse a", "verse b", "verse a"],
),
None,
),
],
None,
]
]
multi_section_data_6 = [
(
(
(
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
None,
),
(
annotations.SectionData(
np.array([[0.0, 15.0, 20.0], [15.0, 20.0, 25.0]]).T,
["verse a", "verse b", "verse a"],
),
None,
),
),
None,
)
]
multi_section_data_7 = [([(None, None), (None, None)], None)]
multi_section_data_8 = [
(
[
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 0.4]]).T,
["event A", "event B"],
),
None,
),
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 0.4]]).T,
["event A", "event B"],
),
None,
),
],
None,
)
]
jam_1 = jams_utils.jams_converter(multi_section_data=multi_section_data_1)
jam_2 = jams_utils.jams_converter(multi_section_data=multi_section_data_2)
jam_3 = jams_utils.jams_converter(multi_section_data=multi_section_data_3)
jam_7 = jams_utils.jams_converter(multi_section_data=multi_section_data_7)
time, duration, value, confidence = get_jam_data(jam_1, "multi_segment", 0)
assert time == [0.0, 0.0, 10.0, 15.0, 20.0, 20.0]
assert duration == [10.0, 15.0, 10.0, 5.0, 5.0, 5.0]
assert value == [
{"label": "verse A", "level": None},
{"label": "verse a", "level": None},
{"label": "verse B", "level": None},
{"label": "verse b", "level": None},
{"label": "verse A", "level": None},
{"label": "verse a", "level": None},
]
assert confidence == [None, None, None, None, None, None]
assert (
jam_2.annotations[0]["annotation_metadata"]["annotator"]["name"]
== "annotator_1"
)
time, duration, value, confidence = get_jam_data(jam_3, "multi_segment", 0)
assert time == [0.0, 0.0, 10.0, 15.0, 20.0, 20.0]
assert duration == [10.0, 15.0, 10.0, 5.0, 5.0, 5.0]
assert value == [
{"label": "verse A", "level": 0},
{"label": "verse a", "level": 1},
{"label": "verse B", "level": 0},
{"label": "verse b", "level": 1},
{"label": "verse A", "level": 0},
{"label": "verse a", "level": 1},
]
assert confidence == [None, None, None, None, None, None]
time, duration, value, confidence = get_jam_data(jam_3, "multi_segment", 1)
assert time == [0.0, 0.0, 10.0, 15.0, 20.0, 20.0]
assert duration == [10.0, 15.0, 10.0, 5.0, 5.0, 5.0]
assert value == [
{"label": "verse A", "level": 0},
{"label": "verse a", "level": 1},
{"label": "verse B", "level": 0},
{"label": "verse b", "level": 1},
{"label": "verse A", "level": 0},
{"label": "verse a", "level": 1},
]
assert confidence == [None, None, None, None, None, None]
time, duration, value, confidence = get_jam_data(jam_7, "multi_segment", 0)
assert time == []
assert duration == []
assert value == []
assert confidence == []
assert type(jam_1) == jams.JAMS
with pytest.raises(TypeError):
jams_utils.jams_converter(multi_section_data=multi_section_data_4)
with pytest.raises(TypeError):
jams_utils.jams_converter(multi_section_data=multi_section_data_5)
with pytest.raises(TypeError):
jams_utils.jams_converter(multi_section_data=multi_section_data_6)
with pytest.raises(TypeError):
jams_utils.jams_converter(multi_section_data=multi_section_data_8)
def test_sections():
section_data_1 = [
(
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
None,
)
]
section_data_2 = [
(
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
"sections_2",
)
]
section_data_3 = [
(
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
"sections_1",
),
(
annotations.SectionData(
np.array([[0.0, 15.0, 20.0], [15.0, 20.0, 30.0]]).T,
["verse A", "verse B", "verse C"],
),
"sections_2",
),
]
section_data_4 = (
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
None,
)
section_data_5 = [
[
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
None,
],
(
annotations.SectionData(
np.array([[0.0, 10.0, 20.0], [10.0, 20.0, 25.0]]).T,
["verse A", "verse B", "verse A"],
),
"sections_2",
),
]
section_data_6 = [(None, None)]
section_data_7 = [
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 0.4]]).T,
["event A", "event B"],
),
None,
)
]
jam_1 = jams_utils.jams_converter(section_data=section_data_1)
jam_2 = jams_utils.jams_converter(section_data=section_data_2)
jam_3 = jams_utils.jams_converter(section_data=section_data_3)
jam_6 = jams_utils.jams_converter(section_data=section_data_6)
time, duration, value, confidence = get_jam_data(jam_1, "segment", 0)
assert time == [0.0, 10.0, 20.0]
assert duration == [10.0, 10.0, 5.0]
assert value == ["verse A", "verse B", "verse A"]
assert confidence == [None, None, None]
assert jam_2.annotations[0]["sandbox"]["name"] == "sections_2"
time, duration, value, confidence = get_jam_data(jam_3, "segment", 0)
assert time == [0.0, 10.0, 20.0]
assert duration == [10.0, 10.0, 5.0]
assert value == ["verse A", "verse B", "verse A"]
assert confidence == [None, None, None]
time, duration, value, confidence = get_jam_data(jam_3, "segment", 1)
assert time == [0.0, 15.0, 20.0]
assert duration == [15.0, 5.0, 10.0]
assert value == ["verse A", "verse B", "verse C"]
assert confidence == [None, None, None]
time, duration, value, confidence = get_jam_data(jam_6, "segment", 0)
assert time == []
assert duration == []
assert value == []
assert confidence == []
assert type(jam_1) == jams.JAMS
with pytest.raises(TypeError):
jams_utils.jams_converter(section_data=section_data_4)
with pytest.raises(TypeError):
jams_utils.jams_converter(section_data=section_data_5)
with pytest.raises(TypeError):
jams_utils.jams_converter(section_data=section_data_7)
def test_beats():
beat_data_1 = [(annotations.BeatData(np.array([0.2, 0.3]), np.array([1, 2])), None)]
beat_data_2 = [
(annotations.BeatData(np.array([0.5, 0.7]), np.array([2, 3])), "beats_2")
]
beat_data_3 = [
(annotations.BeatData(np.array([0.0, 0.3]), np.array([1, 2])), "beats_1"),
(annotations.BeatData(np.array([0.5, 0.8]), np.array([4, 3])), "beats_2"),
]
beat_data_4 = (
annotations.BeatData(np.array([0.0, 0.3]), np.array([1, 2])),
"beats_1",
)
beat_data_5 = [
(annotations.BeatData(np.array([0.0, 0.3]), np.array([1, 2])), "beats_1"),
[annotations.BeatData(np.array([0.5, 0.8]), np.array([4, 3])), "beats_2"],
]
beat_data_6 = [(None, None)]
beat_data_7 = [
(
annotations.EventData(
np.array([[0.2, 0.3], [0.3, 0.4]]).T,
["event A", "event B"],
),
None,
)
]
jam_1 = jams_utils.jams_converter(beat_data=beat_data_1)
jam_2 = jams_utils.jams_converter(beat_data=beat_data_2)
jam_3 = jams_utils.jams_converter(beat_data=beat_data_3)
jam_6 = jams_utils.jams_converter(beat_data=beat_data_6)
time, duration, value, confidence = get_jam_data(jam_1, "beat", 0)
assert time == [0.2, 0.3]
assert duration == [0.0, 0.0]
assert value == [1, 2]
assert confidence == [None, None]
assert jam_2.annotations[0]["sandbox"]["name"] == "beats_2"
time, duration, value, confidence = get_jam_data(jam_3, "beat", 0)
assert time == [0.0, 0.3]
assert duration == [0.0, 0.0]
assert value == [1, 2]
assert confidence == [None, None]
time, duration, value, confidence = get_jam_data(jam_3, "beat", 1)
assert time == [0.5, 0.8]
assert duration == [0.0, 0.0]
assert value == [4, 3]
assert confidence == [None, None]
time, duration, value, confidence = get_jam_data(jam_6, "beat", 0)
assert time == []
assert duration == []
assert value == []
assert confidence == []
assert type(jam_1) == jams.JAMS
with pytest.raises(TypeError):
jams_utils.jams_converter(beat_data=beat_data_4)
with pytest.raises(TypeError):
jams_utils.jams_converter(beat_data=beat_data_5)
with pytest.raises(TypeError):
jams_utils.jams_converter(beat_data=beat_data_7)
