| Algorithm-MasterMind documentation | Contained in the Algorithm-MasterMind distribution. |
Algorithm::MasterMind - Framework for algorithms that solve the MasterMind game
This document describes Algorithm::MasterMind version 0.0.1
use Algorithm::MasterMind;
my $solver = new Algorithm::MasterMind::Solver $options;
my $first_string = $solver->issue_first();
$solver->feedback( check_combination( $secret_code, $first_string) );
my $played_string = $solver->issue_next;
$solver->feedback( check_combination( $secret_code, $played_string) );
#And so on until solution is found
Includes common functions used in Mastermind solvers; it should not be used directly, but from derived classes. See examples in Algorithm::MasterMind::Random, for instance.
Normally to be called from derived classes
Adds a rule (set of combination and its result as a hash) to the set of rules. These rules represent the information we've got on the secret code.
Checks a combination against the secret code, returning a hashref with the number of blacks (correct in position) and whites (correct in color, not position)
Computes distance to a consistent combination, computed as the number of blacks and whites that need change to become a consistent combination.
Old way of checking combinations, eliminated after profiling
Same as check_combination, except that a rule contains a
combination and how it scored against the secret code
Issues the first combination, which might be generated in a particular way
First combination looking like AABC for the normal mastermind. Proposed by Knuth in one of his original papers.
Issues the next combination
Obtain the result to the last combination played
Total number of guesses
Total number of combinations checked to issue result
Returns the number of rules in the algorithm
Returns the rules (combinations, blacks, whites played so far) y a reference to array
Returns a hash with the number of matches, and whether it matches every rule with the number of blacks and whites it obtains with each of them
Turns a string into a hash, to help with comparisons. Used internally, mainly.
Returns the letters from the alphabet that are _not_ in this combination. Might be useful for certain strategies.
Combines randomly the alphabet, issuing, you guessed it, a random combination.
From a set of combinations, returns the "partitions", that is, the number of combinations that would return every set of black and white response. Inputs an array, returns a hash keyed to the combination, each key containing a value corresponding to the number of elements in each partition.
Returns all possible combinations of the current alphabet and length in an array. Be careful with that, it could very easily fill up your memory, depending on length and alphabet size.
Computes the string entropy
Computes the sums of taxicab distances to all combinations in the game, and returns it as [$distance, $matches]
Computes the Chebyshev distance, that is, the max of distances in all dimensions. Returns as a arrayref with [$distance, matches]
Returns all possible responses (combination of black and white pegs) for the combination length
Algorithm::MasterMind requires no configuration files or environment variables.
Algorithm::Evolutionary, but only for one of the strategies. Algorithm::Combinatorics, used to generate combinations and for exhaustive search strategies.
None reported.
No bugs have been reported.
Please report any bugs or feature requests to
bug-algorithm-mastermind@rt.cpan.org, or through the web interface at
http://rt.cpan.org.
Other modules in CPAN which you might find more useful than this one are at Games::Mastermind::Solver, which I didn't use and extend for no reason, although I should. Also Games::Mastermind::Cracker
You can try and play this game at
http://geneura.ugr.es/~jmerelo/GenMM/mm-eda.cgi, restricted to 4 pegs
and 6 colors. The program mm-eda.cgi should also be available in
the apps directory of this distribution.
The development of this projects is hosted at sourceforge, https://sourceforge.net/projects/opeal/develop, check it out for the latest bleeding edge release.
If you use any of these modules for your own research, we would very grateful if you would reference the papers that describe this, such as this one:
@article{merelo2010finding,
title={{Finding Better Solutions to the Mastermind Puzzle Using Evolutionary Algorithms}},
author={Merelo-Guerv{\'o}s, J. and Runarsson, T.},
journal={Applications of Evolutionary Computation},
pages={121--130},
year={2010},
publisher={Springer}
}
JJ Merelo <jj@merelo.net>
Copyright (c) 2009, JJ Merelo <jj@merelo.net>. All rights reserved.
This module is free software; you can redistribute it and/or modify it under the same terms as Perl itself. See perlartistic.
BECAUSE THIS SOFTWARE IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY FOR THE SOFTWARE, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE SOFTWARE "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE SOFTWARE IS WITH YOU. SHOULD THE SOFTWARE PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR, OR CORRECTION.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR REDISTRIBUTE THE SOFTWARE AS PERMITTED BY THE ABOVE LICENCE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE SOFTWARE (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE SOFTWARE TO OPERATE WITH ANY OTHER SOFTWARE), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.
| Algorithm-MasterMind documentation | Contained in the Algorithm-MasterMind distribution. |
package Algorithm::MasterMind; use warnings; use strict; use Carp; use version; our $VERSION = qv("v0.3.1"); use Algorithm::Combinatorics qw(variations_with_repetition); #use Memoize; #memoize( "check_combination" ); our @ISA = qw(Exporter); our @EXPORT_OK = qw( check_combination partitions entropy check_rule ); use lib qw( ../../lib ../lib ../../../lib ); # Module implementation here sub new { my $class = shift; my $options = shift || croak "Need options here in Algorithm::MasterMind::New\n"; my $self = { _rules => [], _evaluated => 0 }; bless $self, $class; $self->initialize( $options ); return $self; } sub random_combination { my $self = shift; my $string_to_play; my @alphabet = @{ $self->{'_alphabet'} }; for (my $i = 0; $i < $self->{'_length'}; $i++ ) { $string_to_play .= $alphabet[ rand( @alphabet) ]; } return $string_to_play; } sub issue_first { #Default implementation my $self = shift; return $self->{'_last'} = $self->random_combination; } sub issue_first_Knuth { my $self = shift; my $string; my @alphabet = @{ $self->{'_alphabet'}}; my $half = @alphabet/2; for ( my $i = 0; $i < $self->{'_length'}; $i ++ ) { $string .= $alphabet[ $i % $half ]; # Recommendation Knuth } $self->{'_first'} = 1; # Flag to know when the second is due return $self->{'_last_string'} = $string; } sub issue_next { croak "To be reimplemented in derived classes"; } sub add_rule { my $self = shift; my ($combination, $result) = @_; my %new_rule = %$result; $new_rule{'combination'} = $combination; push @{ $self->{'_rules'} }, \%new_rule; } sub feedback { my $self = shift; my ($result) = @_; $self->add_rule( $self->{'_last'}, $result ); } sub number_of_rules { my $self= shift; return scalar @{ $self->{'_rules'}}; } sub rules { my $self= shift; return $self->{'_rules'}; } sub evaluated { my $self=shift; return $self->{'_evaluated'}; } sub matches { my $self = shift; my $string = shift || croak "No string\n"; my @rules = @{$self->{'_rules'}}; my $result = { matches => 0, result => [] }; # print "Checking $string, ", $self->{'_evaluated'}, "\n"; for my $r ( @rules ) { my $rule_result = check_rule( $r, $string ); $result->{'matches'}++ if ( $rule_result->{'match'} ); push @{ $result->{'result'} }, $rule_result; } $self->{'_evaluated'}++; return $result; } sub check_rule { my $rule = shift; my $string = shift; my $result = check_combination( $rule->{'combination'}, $string ); if ( ( $rule->{'blacks'} == $result->{'blacks'} ) && ( $rule->{'whites'} == $result->{'whites'} ) ) { $result->{'match'} = 1; } else { $result->{'match'} = 0; } return $result; } sub check_combination { my $combination = shift; my $string = shift; my ( %hash_combination, %hash_string ); my $blacks = 0; my ($c, $s); while ( $c = chop( $combination ) ) { $s = chop( $string ); if ( $c eq $s ) { $blacks++; } else { $hash_combination{ $c }++; $hash_string{ $s }++; } } my $whites = 0; for my $k ( keys %hash_combination ) { next if ! defined $hash_string{$k}; $whites += ($hash_combination{$k} > $hash_string{$k}) ?$hash_string{$k} :$hash_combination{$k}; } return { blacks => $blacks, whites => $whites }; } sub distance_taxicab { my $self = shift; my $combination = shift || croak "Can't compute distance to nothing"; my $matches = $self->matches( $combination ); my $distance = 0; my @rules = @{$self->{'_rules'}}; for ( my $r = 0; $r <= $#rules; $r++) { $distance -= abs( $rules[$r]->{'blacks'} - $matches->{'result'}->[$r]->{'blacks'} ) + abs( $rules[$r]->{'whites'} - $matches->{'result'}->[$r]->{'whites'} ); } return [$distance, $matches->{'matches'}]; } sub distance_chebyshev { my $self = shift; my $combination = shift || croak "Can't compute distance to nothing"; my $rules = $self->number_of_rules(); my $matches = $self->matches( $combination ); my $distance = 0; my @rules = @{$self->{'_rules'}}; for ( my $r = 0; $r <= $#rules; $r++) { my $diff_black = abs( $rules[$r]->{'blacks'} - $matches->{'result'}->[$r]->{'blacks'}); my $diff_white = abs( $rules[$r]->{'whites'} - $matches->{'result'}->[$r]->{'whites'} ); my $this_distance = ($diff_black > $diff_white)?$diff_black:$diff_white; $distance -= $this_distance ; } return [$distance, $matches->{'matches'}]; } sub check_combination_old { my $combination = shift; my $string = shift; my @combination_arr = split(//, $combination ); my @string_arr = split(//, $string); my $blacks = 0; for ( my $i = 0; $i < length($combination); $i ++ ) { if ( $combination_arr[ $i ] eq $string_arr[ $i ] ) { $combination_arr[ $i ] = $string_arr[ $i ] = 0; $blacks++; } } my %hash_combination; map( $hash_combination{$_}++, @combination_arr); my %hash_string; map( $hash_string{$_}++, @string_arr); my $whites = 0; for my $k ( keys %hash_combination ) { next if $k eq '0'; # Mark for "already computed" next if ! defined $hash_string{$k}; $whites += ($hash_combination{$k} > $hash_string{$k}) ?$hash_string{$k} :$hash_combination{$k}; } return { blacks => $blacks, whites => $whites }; } sub hashify { my $str = shift; my %hash; map( $hash{$_}++, split(//, $str)); return %hash; } sub not_in_combination { my $self = shift; my $combination = shift; my @alphabet = @{$self->{'_alphabet'}}; my %alphabet_hash; map( $alphabet_hash{$_}=1, @alphabet ); for my $l ( split(//, $combination ) ) { delete $alphabet_hash{$l} if $alphabet_hash{$l}; } return keys %alphabet_hash; } sub partitions { my @combinations = @_; my %partitions; for my $c ( @combinations ) { for my $cc ( @combinations ) { next if $c eq $cc; my $result = check_combination ( $c, $cc ); $partitions{$c}{$result->{'blacks'}."b-".$result->{'whites'}."w"}++; } } return \%partitions; } sub all_combinations { my $self = shift; my @combinations_array = variations_with_repetition( $self->{'_alphabet'}, $self->{'_length'}); my @combinations = map( join( "", @$_), @combinations_array ); } sub all_responses { my $self = shift; my $length = $self->{'_length'}; my @responses_array = variations_with_repetition( ['B', 'W', '-'], $length ); my %responses; for my $r ( @responses_array ) { my %partial = ( W => 0, B => 0 ); for my $c (@$r) { $partial{$c}++; } $responses{$partial{'B'}."B-".$partial{'W'}."W"} = 1; } # Delete impossible my $impossible = ($length-1)."B-1W"; delete $responses{$impossible}; my @possible_responses = sort keys %responses; return @possible_responses; } sub entropy { my $combination = shift; my %freqs; map( $freqs{$_}++, split( //, $combination)); my $entropy; for my $k (keys %freqs ) { my $probability = $freqs{$k}/length($combination); $entropy -= $probability * log ($probability); } return $entropy; } "4 blacks, 0 white"; # Magic true value required at end of module __END__