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t/AI-Pathfinding-SMAstar.t  view on Meta::CPAN

#!/usr/bin/perl

# Before `make install' is performed this script should be runnable with
# `make test'. After `make install' it should work as `perl AI-Pathfinding-SMAstar.t'

#########################

# change 'tests => 1' to 'tests => last_test_to_print';

use Test::More tests => 9;



BEGIN { use_ok('AI::Pathfinding::SMAstar');
        use_ok('Tree::AVL');
	use_ok('AI::Pathfinding::SMAstar::Examples::PalUtils');
	use_ok('AI::Pathfinding::SMAstar::Examples::WordObj');
	use_ok('AI::Pathfinding::SMAstar::Examples::Phrase');
};

#########################

# Insert your test code below, the Test::More module is use()ed here so read
# its man page ( perldoc Test::More ) for help writing this test script.

my $dictionary_file;
my $min_letters;
my $caching;
my @words;
my @words_w_cands;
my @word_objs;
my $num_word_objs;
my @rev_word_objs;
my $num_words;
my $sparsity;
my $max_states_in_queue;
my %letter_freq;
my $max_word_length = 0;

my $MAX_COST = 99;

#my $collisions_per_length = PalUtils::collisions_per_length("ocid", "abo gad abalones rot abdicators enol aba dagoba");
#print "collisions: $collisions_per_length\n";
#exit;


$dictionary_file = 't/test8.lst';
$min_letters = 4;
$sparsity = 2;
$max_states_in_queue = 4;
  
diag("\ncreating AVL trees");

# create trees of WordObj objects, so that we can use
# WordObj::compare_up_to(), the 'relaxed' comparison function
my $avltree = Tree::AVL->new(
     fcompare => \&AI::Pathfinding::SMAstar::Examples::WordObj::compare,
     fget_key => \&AI::Pathfinding::SMAstar::Examples::WordObj::word,
     fget_data => \&AI::Pathfinding::SMAstar::Examples::WordObj::word,
    );

my $avltree_rev = Tree::AVL->new(
    fcompare => \&AI::Pathfinding::SMAstar::Examples::WordObj::compare,
    fget_key => \&AI::Pathfinding::SMAstar::Examples::WordObj::word,
    fget_data => \&AI::Pathfinding::SMAstar::Examples::WordObj::word,
    );


print STDERR "-" x 80 . "\n";
print STDERR "-" x 80 . "\n";


diag("reading dictionary '$dictionary_file'");
eval{

    ($num_words, @words) = AI::Pathfinding::SMAstar::Examples::PalUtils::read_dictionary_filter_by_density($dictionary_file, $sparsity);
};
is( $@, '', '$@ is not set after object insert' );

diag("loaded words: '$num_words'");
isnt( $num_words, undef, 'num_words is $num_words');



%letter_freq = AI::Pathfinding::SMAstar::Examples::PalUtils::find_letter_frequencies(@words);


foreach my $w (@words){
    my $length = length($w);
    if($length > $max_word_length){
	$max_word_length = $length;
    }
}


$num_words_filtered = @words;
diag("$num_words words in the currently loaded dictionary.  Minimum letters specified = $min_letters");
diag("$num_words_filtered words that meet the initial sparsity constraint max_sparsity = $sparsity.");

if(!@words){
    print STDERR "no words to process.  exiting\n";
    exit;
}

@word_objs = AI::Pathfinding::SMAstar::Examples::PalUtils::process_words_by_density(\@words, $sparsity);
@rev_word_objs = AI::Pathfinding::SMAstar::Examples::PalUtils::process_rev_words_by_density(\@words, $sparsity);
if(!@word_objs){