def _load_chords(chords_path):
"""Private function to load Beatles format chord data from a file
Args:
chords_path (str):
"""
if chords_path is None or not os.path.exists(chords_path):
return None
start_times, end_times, chords = [], [], []
with open(chords_path, 'r') as f:
dialect = csv.Sniffer().sniff(f.read(1024))
f.seek(0)
reader = csv.reader(f, dialect)
for line in reader:
start_times.append(float(line[0]))
end_times.append(float(line[1]))
chords.append(line[2])
chord_data = utils.ChordData(
np.array(start_times), np.array(end_times), np.array(chords)
)
return chord_data
def load_chords(chords_path):
"""Load Beatles format chord data from a file
Args:
chords_path (str): path to chord annotation file
Returns:
(utils.ChordData): loaded chord data
"""
if chords_path is None:
return None
if not os.path.exists(chords_path):
raise IOError("chords_path {} does not exist".format(chords_path))
start_times, end_times, chords = [], [], []
with open(chords_path, "r") as f:
dialect = csv.Sniffer().sniff(f.read(1024))
f.seek(0)
reader = csv.reader(f, dialect)
for line in reader:
start_times.append(float(line[0]))
end_times.append(float(line[1]))
chords.append(line[2])
chord_data = utils.ChordData(np.array([start_times, end_times]).T, chords)
return chord_data
def _load_chords(jams_path, leadsheet_version=True):
"""
Args:
jams_path (str): Path of the jams annotation file
leadsheet_version (Bool)
Whether or not to load the leadsheet version of the chord annotation
If False, load the infered version.
"""
jam = jams.load(jams_path)
if leadsheet_version:
anno = jam.search(namespace='chord')[0]
else:
anno = jam.search(namespace='chord')[1]
intervals, values = anno.to_interval_values()
return utils.ChordData(intervals, values)
def _load_chords(chords_path):
if not os.path.exists(chords_path):
return None
begs = [] # timestamps of chord beginnings
ends = [] # timestamps of chord endings
chords = [] # chord labels
if os.path.exists(chords_path):
with open(chords_path, 'r') as fhandle:
reader = csv.reader(fhandle, delimiter='\t')
for line in reader:
begs.append(float(line[0]))
ends.append(float(line[1]))
chords.append(line[2])
return utils.ChordData(np.array([begs, ends]).T, chords)
def load_chords(chords_path):
if not os.path.exists(chords_path):
raise IOError("chords_path {} does not exist".format(chords_path))
begs = [] # timestamps of chord beginnings
ends = [] # timestamps of chord endings
chords = [] # chord labels
if os.path.exists(chords_path):
with open(chords_path, "r") as fhandle:
reader = csv.reader(fhandle, delimiter="\t")
for line in reader:
begs.append(float(line[0]))
ends.append(float(line[1]))
chords.append(line[2])
return utils.ChordData(np.array([begs, ends]).T, chords)
def load_chords(jams_path, leadsheet_version=True):
"""
Args:
jams_path (str): Path of the jams annotation file
leadsheet_version (Bool)
Whether or not to load the leadsheet version of the chord annotation
If False, load the infered version.
Returns:
(ChordData): Chord data
"""
if not os.path.exists(jams_path):
raise IOError("jams_path {} does not exist".format(jams_path))
jam = jams.load(jams_path)
if leadsheet_version:
anno = jam.search(namespace="chord")[0]
else:
anno = jam.search(namespace="chord")[1]
intervals, values = anno.to_interval_values()
return utils.ChordData(intervals, values)
def test_chords():
chord_data_1 = [
(
utils.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
np.array(["A", "A", "E"]),
),
None,
)
]
chord_data_2 = [
(
utils.ChordData(
np.array([[0.0, 0.8, 1.0], [0.5, 1.0, 1.5]]).T,
np.array(["A", "B", "C"]),
),
"chords_2",
)
]
chord_data_3 = [
(
utils.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
np.array(["A", "A", "E"]),
),
"chords_1",
),
(
utils.ChordData(
np.array([[0.0, 0.7, 1.0], [0.7, 1.0, 1.5]]).T,
np.array(["A", "B", "C"]),
),
"chords_2",
),
]
chord_data_4 = (
utils.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T, np.array(["A", "A", "E"])
),
None,
)
chord_data_5 = [
[
utils.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
np.array(["A", "A", "E"]),
),
None,
],
(
utils.ChordData(
np.array([[0.0, 0.8, 1.0], [0.5, 1.0, 1.5]]).T,
np.array(["A", "B", "C"]),
),
"chords_2",
),
]
chord_data_6 = [(None, None)]
chord_data_7 = [
(
utils.EventData(
np.array([0.2, 0.3]),
np.array([0.3, 0.4]),
np.array(["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_chords():
chord_data_1 = [
(
utils.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
np.array(['A', 'A', 'E']),
),
None,
)
]
chord_data_2 = [
(
utils.ChordData(
np.array([[0.0, 0.8, 1.0], [0.5, 1.0, 1.5]]).T,
np.array(['A', 'B', 'C']),
),
'chords_2',
)
]
chord_data_3 = [
(
utils.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
np.array(['A', 'A', 'E']),
),
'chords_1',
),
(
utils.ChordData(
np.array([[0.0, 0.7, 1.0], [0.7, 1.0, 1.5]]).T,
np.array(['A', 'B', 'C']),
),
'chords_2',
),
]
chord_data_4 = (
utils.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T, np.array(['A', 'A', 'E'])
),
None,
)
chord_data_5 = [
[
utils.ChordData(
np.array([[0.0, 0.5, 1.0], [0.5, 1.0, 1.5]]).T,
np.array(['A', 'A', 'E']),
),
None,
],
(
utils.ChordData(
np.array([[0.0, 0.8, 1.0], [0.5, 1.0, 1.5]]).T,
np.array(['A', 'B', 'C']),
),
'chords_2',
),
]
chord_data_6 = [(None, None)]
chord_data_7 = [
(
utils.EventData(
np.array([0.2, 0.3]),
np.array([0.3, 0.4]),
np.array(['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)
