uniqueNotes = []
for l in sampleNoteSeqs:
uniqueNotes.extend(list(set(l)))
uniqueNotes = list(set(uniqueNotes))
N = LearnPSA(0.2, 10, 3, uniqueNotes)
for seq in sampleNoteSeqs:
N.add_sample(" ".join(seq))
N.generate_pst()
states, transition, nextstate = N.generate_psa()
notes = []
for i in range(0,10):
notes.append(N.generate_run(states, transition, nextstate, 1500).split(" "))
sampleDurationSeqs = []
for s in str:
sampleDurationSeqs.extend(parseDurations(s))
uniqueDurations = []
for l in sampleDurationSeqs:
uniqueDurations.extend(list(set(l)))
uniqueDurations = list(set(uniqueDurations))
D = LearnPSA(0.2, 10, 3, uniqueDurations)
for seq in sampleDurationSeqs:
D.add_sample(" ".join(seq))
D.generate_pst()
uniqueDurations = set([])
for l in sampleDurationSeqs:
uniqueDurations = uniqueDurations | set(l)
uniqueDurations = list(uniqueDurations)
D = LearnPSA(0.2, 10, 3, list(set(sampleDurationSeqs[5])))
'''
for seq in sampleDurationSeqs:
if len(seq) > 10:
D.learn_sample(" ".join(seq))
'''
D.learn_sample(" ".join(sampleDurationSeqs[5]))
states, transition, nextstate = D.generate_psa()
durations = D.generate_run(states, transition, nextstate, 160).split(" ")
N = LearnPSA(0.2, 10, 3, list(set(sampleNoteSeqs[5])))
'''
for seq in sampleNoteSeqs:
if len(seq) > 10:
N.learn_sample(" ".join(seq))
'''
N.learn_sample(" ".join(sampleNoteSeqs[5]))
states, transition, nextstate = N.generate_psa()
notes = N.generate_run(states, transition, nextstate, 160).split(" ")
'''
sampleChordSeqs = []
