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Perl: the Markov chain saw

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I think that this solution is pretty clever in getting the selection down to O(1), however, how practical is it? Suppose I do something like:

my %weight = ( dog=>100000000, cat=>120000000, pig=>40000000000 );
Who would do that besides evil people (such as myself >:-))? Fair enough, but what about the example group? The sub is passed a reference to an array containing: (1, 1.25, 3.6, 2). The 1.25 would get only 1 index and 3.6 would only get 3. Of course, you could figure out the least common multiple quite easily, but what about those cases where you have very long decimals? Suppose the weight is determined by a calculation that may involve pi. You need a somewhat precise value for pi so you use 3.14159265358979. If you figure out the lcm, have fun generating an array that large :). If you can round the decimals, this certainly becomes less problematic. But what if there are 1000 indices that are weighted in this fashion? You would still have an array so large that perl would run out of memory. Also, when you need a higher precision, you need a higher precision and your solution becomes impractical.

I'm not saying that your solution is wrong. I'm merely pointing out that it could become very expensive in terms of memory and that I would probably opt for the binary search solutions others are proposing.

Updated: Fixed a typo. I need to learn how to spell :-/

The first rule of Perl club is - use Perl
ith rule of Perl club is - follow rule i - 1 for i > 1

In reply to Re: Re: Weighted random numbers generator by antirice
in thread Weighted random numbers generator by spurperl

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