def test_note_beat_strength_indexer_1(self):
# When the parts are empty
expected = pandas.DataFrame({'0': pandas.Series(), '1': pandas.Series()})
test_parts = [stream.Part(), stream.Part()]
ip = IndexedPiece()
ip.metadata('parts', expected.columns)
ip._analyses['part_streams'] = test_parts # supply part_streams.
actual = ip._get_beat_strength()['meter.NoteBeatStrengthIndexer']
self.assertTrue(actual.equals(expected))
def test_note_beat_strength_indexer_1(self):
# When the parts are empty
expected = pandas.DataFrame({
'0': pandas.Series(),
'1': pandas.Series()
})
test_parts = [stream.Part(), stream.Part()]
ip = IndexedPiece()
ip.metadata('parts', expected.columns)
ip._analyses['part_streams'] = test_parts # supply part_streams.
actual = ip._get_beat_strength()['meter.NoteBeatStrengthIndexer']
self.assertTrue(actual.equals(expected))
def test_note_beat_strength_indexer_2(self):
# When the part has no Note or Rest objects in it
expected = pandas.DataFrame({'0': pandas.Series()})
test_part = stream.Part()
# add stuff to the test_part
for i in range(1000):
add_me = clef.BassClef()
add_me.offset = i
test_part.append(add_me)
add_me = bar.Barline()
add_me.offset = i
test_part.append(add_me) # finished adding stuff to the test_part
ip = IndexedPiece()
ip.metadata('parts', expected.columns)
ip._analyses['part_streams'] = [test_part] # supply part_streams.
actual = ip._get_beat_strength()['meter.NoteBeatStrengthIndexer']
self.assertTrue(actual.equals(expected))
def test_note_beat_strength_indexer_2(self):
# When the part has no Note or Rest objects in it
expected = pandas.DataFrame({'0': pandas.Series()})
test_part = stream.Part()
# add stuff to the test_part
for i in range(1000):
add_me = clef.BassClef()
add_me.offset = i
test_part.append(add_me)
add_me = bar.Barline()
add_me.offset = i
test_part.append(add_me) # finished adding stuff to the test_part
ip = IndexedPiece()
ip.metadata('parts', expected.columns)
ip._analyses['part_streams'] = [test_part] # supply part_streams.
actual = ip._get_beat_strength()['meter.NoteBeatStrengthIndexer']
self.assertTrue(actual.equals(expected))
def test_note_beat_strength_indexer_3(self):
# When there are a few notes
expected = pandas.DataFrame({'0': pandas.Series([1.0, 0.5, 0.5, 1.0, 0.5, 0.5])})
test_part = stream.Part()
# add stuff to the test_part
measure = stream.Measure()
# In music21 beginning time signatures are preferably inserted in the first measure and a
# timeSignature is needed to be able to calculate beatStrength
measure.insert(0, m21_meter.TimeSignature('3/4'))
for i in range(6):
add_me = note.Note(u'C4', quarterLength=1.0)
add_me.offset = i
measure.append(add_me)
test_part.insert(0, measure) # finished adding stuff to the test_part
ip = IndexedPiece()
ip.metadata('parts', expected.columns)
ip._analyses['part_streams'] = [test_part] # supply part_streams.
actual = ip._get_beat_strength()['meter.NoteBeatStrengthIndexer']
self.assertTrue(actual.equals(expected))
def test_note_beat_strength_indexer_3(self):
# When there are a few notes
expected = pandas.DataFrame(
{'0': pandas.Series([1.0, 0.5, 0.5, 1.0, 0.5, 0.5])})
test_part = stream.Part()
# add stuff to the test_part
measure = stream.Measure()
# In music21 beginning time signatures are preferably inserted in the first measure and a
# timeSignature is needed to be able to calculate beatStrength
measure.insert(0, m21_meter.TimeSignature('3/4'))
for i in range(6):
add_me = note.Note(u'C4', quarterLength=1.0)
add_me.offset = i
measure.append(add_me)
test_part.insert(0, measure) # finished adding stuff to the test_part
ip = IndexedPiece()
ip.metadata('parts', expected.columns)
ip._analyses['part_streams'] = [test_part] # supply part_streams.
actual = ip._get_beat_strength()['meter.NoteBeatStrengthIndexer']
self.assertTrue(actual.equals(expected))
