def format_notes(self, notes):
"""
Formats the notes into a list of measures.
Input
- measure: current measure object
Output - None
"""
measure_counter, time_counter = 0, 0
curr_measure = Measure(measure_counter, self.time_signature[0],
self.time_signature[1])
for i in range(len(notes)):
row = notes.iloc[i]
note = Note(row.given_pitch,
row.signal,
row.loudness,
row.time,
duration=row.duration,
typ=row.typ)
if time_counter + row.duration > 4:
"""FIXME: this fills up the rest of the measure with a rest, but it can be better
Ideally it would be smart enough to wrap up a measure if there's little cutoff or
tie current note into next measure."""
curr_measure.wrap_up_time()
self.addMeasure(curr_measure)
measure_counter += 1
time_counter = 0
curr_measure = Measure(measure_counter, self.time_signature[0],
self.time_signature[1])
curr_measure.addNote(row)
curr_measure.wrap_up_time()
self.addMeasure(curr_measure)
def addMeasure(self, vector, length=4):
# Takes in a vector and generates a measure based on the features of the vector
self.current_measure += 1
if self.binaryProbability(vector.getRepetition()) == True:
if self.current_measure > 1:
measure_index = random.choice(range(len(self.measures)))
the_measure = self.measures[measure_index]
new_vec = the_measure.getVector(
) # If we're repeating, we want the user's opinion to reflect on the randomly selected vector's properties, except for the repetition property. This should reflect upon the current vectors (called 'vector') repetition property. So we make a new vector that has the randomly selected vector's properties except for repetition, which is taken from the current vector that caused us to repeat
new_vec.setRepetition(vector.getRepetition())
the_measure.setVector(new_vec)
self.measures.append(the_measure) # Add the first measure.
return
measure = Measure()
measure.setVector(vector)
time_left = float(length)
self.chanceToChangeOctave(vector.getOctaveChance())
while time_left > 0:
pitch_list = self.buildNoteRatioList(vector.getGoodNoteRatio())
if measure == []:
# First note in the measure, just choose an item from our possible pitches randomly. <- Could be improved
pitch = random.choice(pitch_list)
else:
# otherwise, incorporate the variety distance weight.
pitch_list.extend(
self.buildDistanceRatio(measure[-1],
vector.getNoteDistance()))
pitch = random.choice(pitch_list)
if time_left != 4:
duration = self.pickDuration(vector.getVarietyDuration(),
time_left, measure)
else:
duration = random.choice(
[.25, .5, 1, 2,
4]) # First note, choose a duration randomly
note = Note(4 - time_left, 1, pitch, duration, 100)
measure.addNote(note)
# Check to see if adding a chord
if self.binaryProbability(vector.getOneVsChord()):
# We rolled a chord.
pitches_in_chord = self.chordList(pitch)
for chord_pitch in pitches_in_chord:
chord_note = Note(4 - time_left, 1, chord_pitch, duration,
100)
measure.addNote(chord_note)
time_left -= duration
self.measures.append(measure)
def addMeasure(self,vector,length=4): # Takes in a vector and generates a measure based on the features of the vector self.current_measure +=1 if self.binaryProbability(vector.getRepetition()) == True: if self.current_measure > 1: measure_index = random.choice(range(len(self.measures))) the_measure = self.measures[measure_index] new_vec = the_measure.getVector() # If we're repeating, we want the user's opinion to reflect on the randomly selected vector's properties, except for the repetition property. This should reflect upon the current vectors (called 'vector') repetition property. So we make a new vector that has the randomly selected vector's properties except for repetition, which is taken from the current vector that caused us to repeat new_vec.setRepetition(vector.getRepetition()) the_measure.setVector(new_vec) self.measures.append(the_measure) # Add the first measure. return measure = Measure() measure.setVector(vector) time_left = float(length) self.chanceToChangeOctave(vector.getOctaveChance()) while time_left > 0: pitch_list = self.buildNoteRatioList(vector.getGoodNoteRatio()) if measure == []: # First note in the measure, just choose an item from our possible pitches randomly. <- Could be improved pitch = random.choice(pitch_list) else: # otherwise, incorporate the variety distance weight. pitch_list.extend(self.buildDistanceRatio(measure[-1],vector.getNoteDistance())) pitch = random.choice(pitch_list) if time_left != 4: duration = self.pickDuration(vector.getVarietyDuration(),time_left,measure) else: duration = random.choice([.25,.5,1,2,4]) # First note, choose a duration randomly note = Note(4-time_left,1,pitch,duration,100) measure.addNote(note) # Check to see if adding a chord if self.binaryProbability(vector.getOneVsChord()): # We rolled a chord. pitches_in_chord = self.chordList(pitch) for chord_pitch in pitches_in_chord: chord_note = Note(4-time_left,1,chord_pitch,duration,100) measure.addNote(chord_note) time_left -= duration self.measures.append(measure)
def testNoteSorting(self):
measure = Measure()
class Note(object):
def __init__(self, start):
self.start = start
noteA = Note(start=5)
noteB = Note(start=6)
measure.addNote(noteB)
measure.addNote(noteA)
self.assertEqual([5, 6], [note.start for note in measure.orderedNotes()])
noteC = Note(start=17)
noteD = Note(start=1)
measure.addNote(noteD)
measure.addNote(noteC)
measure.addNote(Note(start=5))
self.assertEqual([1, 5, 5, 6, 17], [note.start for note in measure.orderedNotes()])