def test_measure_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('phony_file_location') # it doesn't matter what the string is becuase we supply part_streams
ip.metadata('parts', expected.columns)
ip._analyses['part_streams'] = test_parts # supply part_streams.
actual = ip._get_measure()['meter.MeasureIndexer']
self.assertTrue(actual.equals(expected))
def test_measure_indexer_2(self):
# When the part has no Measure objects in it but a bunch of notes.
expected = pandas.DataFrame({'0': pandas.Series()})
test_part = stream.Part()
# add stuff to the test_part
for i in range(0, 20, 2):
add_me = note.Note('C#5', quarterLength=2.0)
add_me.offset = i
test_part.append(add_me)
test_part = [test_part] # finished adding stuff to the test_part
ip = IndexedPiece('phony_file_location') # it doesn't matter what the string is becuase we supply part_streams
ip.metadata('parts', expected.columns)
ip._analyses['part_streams'] = test_part # supply part_streams.
actual = ip._get_measure()['meter.MeasureIndexer']
self.assertTrue(actual.equals(expected))
def test_measure_indexer_3(self):
# When there are a bunch of measures with a note in each one.
expected = pandas.DataFrame({'0': pandas.Series(range(1, 11), index=[float(x) for x in range(10)])})
test_part = stream.Part()
# add stuff to the test_part
for i in range(1, 11):
add_me = stream.Measure()
add_me.number = i
add_me.insert(note.Note('C#5', quarterLength=1.0))
add_me.offset = i
test_part.append(add_me)
test_part = [test_part] # finished adding stuff to the test_part
ip = IndexedPiece('phony_file_location') # it doesn't matter what the string is becuase we supply part_streams
ip.metadata('parts', expected.columns)
ip._analyses['part_streams'] = test_part # supply part_streams.
actual = ip._get_measure()['meter.MeasureIndexer']
self.assertTrue(actual.equals(expected))
