After mulling on this one for a while, in particular thinking about how to track when a letter was due to get output again and how to maintain a distribution, I think I have something good. Compute a rolling score for each element, where it accumulates based upon probability of output and gets dinged when its element gets selected; maximum score always gets chosen.
use strict; use warnings; use List::Util 'sum'; use Data::Dump qw[ pp ]; sub gen { my $href = shift; my %score = %$href; my $norm = sum values %score; my @series; for (1 .. $norm) { my ($max, $elem) = 0; for (keys %score) { ($max, $elem) = ($score{$_}, $_) if $score{$_} >= $max; $score{$_} += $href->{$_}; } push @series, $elem; $score{$elem} -= $norm; } return \@series; } pp gen( { A => 4, B => 2, C => 3, D => 1 } ); pp gen( { A => 5, B => 4, C => 3, D => 2, E => 1 } );
["A", "C", "B", "A", "D", "C", "A", "B", "C", "A"] ["A" .. "D", "A", "B", "E", "A", "C", "B", "A", "D", "C", "B", "A"]

It also naturally extends to infinite series and non-integer element counts. The infinite series case is why it's necessary to have a >= in the score comparison; you could alternatively initialize $max to something negative since the sum of all scores is necessarily zero at all times. N*M complexity, where N is the length of desired series and M is number of distinct elements.

This approach also lends itself to designing a metric for how smooth a series is:

use strict; use warnings; use List::Util 'sum'; sub measure { my @series = @_; my %count; $count{$_}++ for @series; my $norm = sum values %count; $_ /= $norm for values %count; my %score = %count; my $metric = 0; for my $elem (@series) { $score{$elem} -= 1; for (keys %score) { $metric += $score{$_}**2; $score{$_} += $count{$_}; } } return $metric/@series; } print measure("A", "C", "B", "A", "D", "C", "A", "B", "C", "A"), "\n"; print measure("A", "C", "B", "A", "C", "D", "A", "B", "C", "A"), "\n"; print measure("A", "A", "A", "A", "B", "B", "C", "C", "C", "D"), "\n";
0.37 0.37 3.45

#11929 First ask yourself `How would I do this without a computer?' Then have the computer do it the same way.

In reply to Re: Bag uniform distribution algorithms by kennethk
in thread Bag uniform distribution algorithms by davido

Use:  <p> text here (a paragraph) </p>
and:  <code> code here </code>
to format your post; it's "PerlMonks-approved HTML":

  • Posts are HTML formatted. Put <p> </p> tags around your paragraphs. Put <code> </code> tags around your code and data!
  • Titles consisting of a single word are discouraged, and in most cases are disallowed outright.
  • Read Where should I post X? if you're not absolutely sure you're posting in the right place.
  • Please read these before you post! —
  • Posts may use any of the Perl Monks Approved HTML tags:
    a, abbr, b, big, blockquote, br, caption, center, col, colgroup, dd, del, div, dl, dt, em, font, h1, h2, h3, h4, h5, h6, hr, i, ins, li, ol, p, pre, readmore, small, span, spoiler, strike, strong, sub, sup, table, tbody, td, tfoot, th, thead, tr, tt, u, ul, wbr
  • You may need to use entities for some characters, as follows. (Exception: Within code tags, you can put the characters literally.)
            For:     Use:
    & &amp;
    < &lt;
    > &gt;
    [ &#91;
    ] &#93;
  • Link using PerlMonks shortcuts! What shortcuts can I use for linking?
  • See Writeup Formatting Tips and other pages linked from there for more info.