import numpy

#Transpositions (similar to good distance scheme)
# how many packets are in front of the outgoing/incoming packet?
def TransPosFeature(times, sizes, features):
	# for outgoing packets
	count = 0
	temp = []
	for i in range(0, len(sizes)):
		if sizes[i] > 0:
			count += 1
			features.append(i)
			temp.append(i)
		if count == 300:
			break
	for i in range(count, 300):
		features.append("X")
	# std
	features.append(numpy.std(temp))
	# ave
	features.append(numpy.mean(temp))
	
	
	# for incoming packets
	count = 0
	temp = []
	for i in range(0, len(sizes)):
		if sizes[i] < 0:
			count += 1
			features.append(i)
			temp.append(i)
		if count == 300:
			break
	for i in range(count, 300):
		features.append("X")
	# std
	features.append(numpy.std(temp))
	# ave
	features.append(numpy.mean(temp))


import numpy

#Transpositions (similar to good distance scheme)
# how many packets are in front of the outgoing/incoming packet?
def TransPosFeature(times, sizes, features):
	# for outgoing packets
	count = 0
	temp = []
	for i in range(0, len(sizes)):
		if sizes[i] > 0:
			count += 1
			features.append(i)
			temp.append(i)
		if count == 300:
			break
	for i in range(count, 300):
		features.append("X")
	# std
	features.append(numpy.std(temp))
	# ave
	features.append(numpy.mean(temp))
	
	
	# for incoming packets
	count = 0
	temp = []
	for i in range(0, len(sizes)):
		if sizes[i] < 0:
			count += 1
			features.append(i)
			temp.append(i)
		if count == 300:
			break
	for i in range(count, 300):
		features.append("X")
	# std
	features.append(numpy.std(temp))
	# ave
	features.append(numpy.mean(temp))


#Transpositions (similar to good distance scheme) # how many packets are in front of the outgoing/incoming packet? # for outgoing packets # std # ave # for incoming packets # std # ave