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algorithm - Reservoir sampling

To retrieve k random numbers from an array of undetermined size we use a technique called reservoir sampling. Can anybody briefly highlight how it happens with a sample code?

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I actually did not realize there was a name for this, so I proved and implemented this from scratch:

import random
def random_subset( iterator, K ):
    result = []
    N = 0

    for item in iterator:
        N += 1
        if len( result ) < K:
            result.append( item )
        else:
            s = int(random.random() * N)
            if s < K:
                result[ s ] = item

    return result

From: http://web.archive.org/web/20141026071430/http://propersubset.com:80/2010/04/choosing-random-elements.html

With a proof near the end.


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