Hi,
I have read a couple of tutorial on yield. The following code snippet still
gives me a shock. I am told yield is a little like return. I only see one
yield in the tutorial examples. Here it has two yields. And there are three
variables following keyword yield.
I have not tried debug function to get the running states yet.
Could you give me some explanation on this yield usage?
Or are there some high relevant tutorial on this?
Thanks,
def pfr(sequence, pos, stepsize, n):
seq = iter(sequence)
x = ones((n, 2), int) * pos # position
f0 = seq.next()[tuple(pos)] * ones(n) # model
yield pos, x, ones(n)/n # weights
for im in seq:
x += uniform(-stepsize, stepsize, x.shape) #
x = x.clip(zeros(2), array(im.shape)-1).astype(int) #
f = im[tuple(x.T)] # s
w = 1./(1. + (f0-f)**2) # distance
w /= sum(w) # w
yield sum(x.T*w, axis=1), x, w # weights
if 1./sum(w**2) < n/2.: # degenerate:
x = x[res(w),:] # to weights
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