Minor improvements to the convolve() recipe (GH-24012)
* Minor improvement to speed and space efficiency for the convolve() recipe * Don't require convolve's kernel to be a sequence.
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@ -791,9 +791,9 @@ which incur interpreter overhead.
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# convolve(data, [0.25, 0.25, 0.25, 0.25]) --> Moving average (blur)
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# convolve(data, [1, -1]) --> 1st finite difference (1st derivative)
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# convolve(data, [1, -2, 1]) --> 2nd finite difference (2nd derivative)
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kernel = list(reversed(kernel))
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kernel = tuple(kernel)[::-1]
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n = len(kernel)
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window = collections.deque([0] * n, maxlen=n)
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window = collections.deque([0], maxlen=n) * n
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for x in chain(signal, repeat(0, n-1)):
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window.append(x)
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yield sum(map(operator.mul, kernel, window))
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