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1 #!/usr/bin/perl
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2 use strict; use warnings;
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3 use v5.10;
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4 use open qw( :encoding(UTF-8) :std);
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5 use Storable 'retrieve';
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6 use List::Util 'sum';
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7 use Getopt::Long qw(:config gnu_getopt);
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8 BEGIN {
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9 eval {
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10 require Math::Random::MT::Perl; Math::Random::MT::Perl->import('rand');
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11 };
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12 # warn "Optional module Math::Random::MT::Perl not found.\n" if $@;
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13 }
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14
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15 #constants
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16 my @options = qw(eng-1M eng-all eng-fiction eng-gb eng-us french german hebrew russian spanish irish german-medical bulgarian catalan swedish brazilian canadian-english-insane manx italian ogerman portuguese polish gaelic finnish norwegian);
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17 my $n = 4;
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18 my $default_opt = "--eng-1M";
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19 (my $default_dataset = $default_opt) =~ s/(^|-+)([^-])/\u$2/g;
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20
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21 #help info
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22 my $help_text = <<END
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23 Usage: words [-dhNo] [DATASETS...] [NUMBER_OF_WORDS]
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24
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25 valid datasets: --@{[join ' --', @options]}
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26 default: $default_opt
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27
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28 options:
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29 -h, --help this help text
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30 -d, --debug debugging output
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31 -N, --dont-normalize don't normalize frequencies when combining
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32 multiple Markov models; this has the effect
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33 of making larger datasets more influential
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34 -o, --target-offset change the target length offset used in the
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35 word generation algorithm; use negative integers
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36 for best results
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37 END
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38 ;
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39
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40 #data from loaded files
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41 my @loaded_data;
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42
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43 #data after normalizing and combining datasets
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44 my $grams;
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45 my $freqs;
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46
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47 #some command line options
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48 my $debug_mode;
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49 my $target_offset = -4; #needs testing;
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50 my $dont_normalize;
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51
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52 sub pick(%) {
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53 my ($f) = @_;
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54 my @c = keys %$f;
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55 my @w = map { $f->{$_} } @c;
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56 my $r = rand(sum(@w));
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57 for(0..$#c) {
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58 return $c[$_] if $r < $w[$_];
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59 $r -= $w[$_];
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60 }
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61 print "end of pick loop reached. returned $c[$#w]\n" if $debug_mode;
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62 return $c[$#w];
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63 }
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64
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65 sub get_gram {
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66 my ($key) = @_;
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67 ##Lazily interpolate the gram table on the fly
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68 ##then cache the results
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69 unless (defined $grams->{$key}) {
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70 for(@loaded_data) {
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71 my $data = $_->[0];
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72 my $g = $data->{$key} or next;
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73 my $sum = $dont_normalize || sum(values %$g);
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74 while( my ($c, $v) = each %$g ) {
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75 $grams->{$key}->{$c} += $v/$sum;
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76 }
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77 }
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78 }
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79 return $grams->{$key};
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80 }
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81
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82 sub generate {
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83 my $target = pick($freqs) + $target_offset;
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84 my $word = ' ' x ($n-1);
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85 my $c;
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86 do {
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87 my $len = (length $word) - ($n-1);
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88 my %ftable = %{get_gram substr($word, -$n+1, $n-1)};
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89 ($ftable{' '} //= 0) *= 2**($len-$target);
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90 $c = pick \%ftable;
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91 $word .= $c;
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92 } while $c ne ' ';
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93 $word =~ s/\s//g;
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94 $word = "$word (L-T: @{[length($word) - $target]})" if $debug_mode;
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95 return $word;
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96 }
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97
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98 sub load_dataset {
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99 my ($mod) = @_;
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100 push @loaded_data, retrieve ("share/WordData/$mod") or die "Unable to load $mod";
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101 }
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102
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103 sub main {
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104 ##Option handling
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105 @ARGV = split /\s+/, $ARGV[0] if @ARGV == 1;
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106 my $help_mode;
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107 GetOptions (
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108 'd|debug' => \$debug_mode,
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109 'h|help' => \$help_mode,
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110 'N|dont-normalize' => \$dont_normalize,
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111 'o|target-offset=s' => \$target_offset,
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112 map {
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113 my $mod=$_;
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114 $mod =~ s/(^|-)(.)/\u$2/g;
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115 $_, sub { load_dataset $mod };
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116 } @options
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117 ) or exit 1;
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118 return print $help_text if $help_mode;
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119
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120 ##Use the default dataset if no others were specified
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121 load_dataset $default_dataset unless @loaded_data;
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122 ##In the case of 1 dataset, skip normalization by copying everything
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123 ##into the tables
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124 if (@loaded_data == 1) {
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125 ($grams, $freqs) = @{$loaded_data[0]};
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126 }
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127 ##Otherwise, normalize and combine the length histograms.
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128 ##The gram tables will be normalized lazily as needed (see: get_gram)
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129 else {
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130 for (@loaded_data) {
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131 my $fdata = $_->[1];
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132 my $sum = $dont_normalize || sum(values %$fdata);
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133 while ( my ($len, $f) = each %$fdata ) {
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134 $freqs->{$len} += $f/$sum;
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135 }
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136 }
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137 }
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138
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139 ##Run word generator and print results
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140 local $, = ' ';
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141 print map {generate} 1..int($ARGV[0]||1);
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142 print "\n";
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143 return 0;
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144 }
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145
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146 exit main unless caller;
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147 1;
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