view Syncopation models/syncopation.py @ 35:3a878de00d19

made some small changes to files

'''
Author: Chunyang Song
Institution: Centre for Digital Music, Queen Mary University of London

'''

def sync_perbar_permodel (model, bar, parameters=None):
	return model.get_syncopation(bar, parameters)

 def syncopation_barlist_permodel(model, source, parameters=None):
 	total = 0
 	numberOfNotes = 0

	

 	for bar in barlist:
 		if sync_perbar_permodel(model, bar, parameters) != None:
 			total += sync_perbar_permodel(model, bar, parameters)
 			numberOfNotes += sum(bar.get_binary_sequence())
 		else:
 			print 'Bar %d cannot be measured, returning None.' % barlist.index(bar)

 	if model is WNBD:
 		total = (float) total/ numberOfNotes

# def sync_perbar_permodel(seq, model, timesig = None, subdivision_seq = None, weight_seq = None, L_max = 5, prebar_seq = None, postbar_seq = None, strong_beat_level = None):
# 	syncopation = None

# 	if seq == None or model == None:
# 		print 'Error: please indicate rhythm sequence and syncopation model.'

# 	elif timesig == None and subdivision_seq == None:
# 		print 'Error: please indicate either time signature or subdivision sequence.'
	
# 	else:
# 		while subdivision_seq == None:
# 			from basic_functions import get_subdivision_seq
# 			subdivision_seq = get_subdivision_seq(timesig, L_max)

# 		# The get_rhythm_category function is used to detect rhythm category: monorhythm or polyrhythm.
# 		# For monorhythms, all prime factors of the length of minimum time-span representation of this sequence are
# 		# elements of its subdivision_seq, otherwise it is polyrhythm; 
# 		# e.g. prime_factors of polyrhythm 100100101010 in 4/4 is [2,3] but subdivision_seq = [1,2,2] for 4/4 
# 		def get_rhythm_category():
# 			rhythm_category = 'mono'
# 			from basic_functions import get_min_timeSpan, find_prime_factors
# 			for f in find_prime_factors(len(get_min_timeSpan(seq))):
# 				if not (f in subdivision_seq): 
# 					rhythm_category = 'poly'
# 					break
# 			return rhythm_category
		
# 		rhythm_category = get_rhythm_category()

# 		if model == 'LHL':	
# 			import LHL
# 			if weight_seq == None:
# 				weight_seq = range(0,-L_max,-1)
# 			syncopation = LHL.get_syncopation(seq, subdivision_seq, weight_seq, prebar_seq, rhythm_category)
# 		elif model == 'PRS':	
# 			import PRS
# 			syncopation = PRS.get_syncopation(seq, subdivision_seq, postbar_seq, rhythm_category)
# 		elif model == 'TMC':	
# 			import TMC
# 			if weight_seq == None:
# 				weight_seq = range(L_max+1,0,-1)
# 			syncopation = TMC.get_syncopation(seq, subdivision_seq, weight_seq, L_max, rhythm_category)
# 		elif model == 'SG':		
# 			import SG
# 			if weight_seq == None:
# 				weight_seq = range(L_max+1)
# 			syncopation = SG.get_syncopation(seq, subdivision_seq, weight_seq, L_max, rhythm_category)
# 		elif model == 'KTH':
# 			import KTH
# 			syncopation = KTH.get_syncopation(seq, timesig, postbar_seq)
# 		elif model == 'TOB':	
# 			import TOB
# 			syncopation = TOB.get_syncopation(seq)
# 		elif model == 'WNBD':
# 			import WNBD
# 			if strong_beat_level == None:
# 				if timesig == '4/4':
# 					strong_beat_level = 2
# 				else:
# 					strong_beat_level = 1 
# 			syncopation = WNBD.get_syncopation(seq, subdivision_seq, strong_beat_level, postbar_seq)

# 		else:
# 			print 'Error: undefined syncopation model.'

# 	return syncopation

# def syncopation_all(rhythm, model, timesig, subdivision_seq = None, weight_seq = None, L_max = 5, strong_beat_level = None):
# 	syncopation = 0
# 	# Chope rhythm into seq
# 	# ...

# 	for (seq_perbar in seq):
# 		sync_perbar = syncopation_perbar(seq_perbar,model, timesig, subdivision_seq, weight_seq, L_max, strong_beat_level)
# 		if sync_perbar != None:
# 			syncopation = syncopation + sync_perbar

# 	return syncopation