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	a = Rxyd[i - 1]	a = Rxyd[i - 1]
	b = Rxyd[i]	b = Rxyd[i]
	#sign change (zerocrossing) at point i, denoting max point (only)	#sign change (zerocrossing) at point i, denoting max point (only)
	if (a >= 0 and b < 0) or (a < 0 and b >= 0):	if (a >= 0 > b) or (a < 0 <= b):
	maxs.append((i, max(Rxy[i], Rxy[i - 1])))	maxs.append((i, max(Rxy[i], Rxy[i - 1])))
	return [x[0] for x in maxs]	return [x[0] for x in maxs]
	#~ return max(maxs, key=lambda x: x[1])[0]	#~ return max(maxs, key=lambda x: x[1])[0]
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	#calculate max error and point where it occurs	#calculate max error and point where it occurs
	maxError, maxErrorPt = maxErrorAmount(data_pts, bez, s, e)	maxError, maxErrorPt = maxErrorAmount(data_pts, bez, s, e)
	#if error is small enough, reparameterization might be enough	#if error is small enough, reparameterization might be enough
	if maxError < reparaError and maxError > error:	if reparaError > maxError > error:
	for i in range(maxIterations):	for i in range(maxIterations):
	newtonRaphson(data_pts, s, e, bez)	newtonRaphson(data_pts, s, e, bez)
	if e - s < 3:	if e - s < 3:
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