05.04.18 19:52, Peter O'Connor пише:
I propose a new "Reduce-Map" comprehension that allows us to write:
signal = [math.sin(i*0.01) + random.normalvariate(0, 0.1)for iin range(1000)]
smooth_signal = [average = (1-decay)*average + decay*xfor xin signalfrom
average=0.]
Using currently supported syntax:
smooth_signal = [average for average in [0] for x in signal
for average in [(1-decay)*average + decay*x]]
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