def test_learning():
composer = Composer(order = 2)
paths = [os.path.join("midifiles/classical_piano/c_maj/format0", path) for path in os.listdir("midifiles/classical_piano/c_maj/format0")]
for path in paths:
print "Learning " + os.path.basename(path)
midi = parser.readFile(path)
track = midi.toTrack()
track.quantize(1.0/16.0)
composition = Composition(120, 44100)
composition.addTrack(track)
composer.learnFromComposition(composition)
print composer.marcovChains[0]
def test_composition():
random.seed(427)
scale = Scale(Note(0))
track1 = Track()
track2 = Track()
chord = scale.getRandomChord()
track1.appendChord(chord, 0.25)
print chord
chord = scale.getRandomChord()
track1.appendChord(chord, 0.5)
print chord
chord = scale.getRandomChord()
track2.appendChord(chord, 2.0)
print chord
chord = scale.getRandomChord()
track2.appendChord(chord, 1.0)
print chord
comp = Composition(120, 44100)
comp.addTrack(track1)
comp.addTrack(track2)
print
print "Running composition..."
for sample in range(5 * 44100):
noteOn = comp.getNoteOnEvents()
noteOff = comp.getNoteOffEvents()
if noteOn:
print "NoteOn events: sample = " + str(sample)
print noteOn
if noteOff:
print "NoteOff events: sample = " + str(sample)
print noteOff
comp.advanceBySample()
