For the bias, something you might consider is this:

If you pick a distribution that is weighted towards 0, you'll wind up picking newer files. Note: this isn't technically weighting by time -- it's biasing towards certain array slots, irrespective of whether those slots are close in access time or far apart. However, that may be sufficient for your particular application.

A good distribution for this may be the Kumaraswamy, which is bounded between 0 and 1 and has a closed form that is easy to invert. By changing the two input parameters, you'll get different shapes, including ones that bias towards 0. (You'll have to try graphing some PDF's and see what you like.)

Here's an example of how it could be used to bias in the way I described:

use strict; use warnings; my $param_a = 1.5; my $param_b = 6; my @array = ( 1 .. 100 ); sub invK { my ($F, $Ka, $Kb) = @_; return ( 1 - ( 1 - $F )**( 1 / $Kb ) )**( 1 / $Ka ); } for ( 1 .. 20 ) { my $pick = int( invK( rand(), $param_a, $param_b ) * @array ); print "$pick\n"; }

A test run gave this: 7 11 12 26 18 27 10 30 6 3 28 2 35 7 29 40 26 15 3 44

-xdg

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In reply to Re: Opening random files (with bias) based on File::Stat information. by xdg
in thread Opening random files (with bias) based on File::Stat information. by Cap'n Steve

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