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# vim: set sw=2 ft=perl: |
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package DBIx::Class::Sims::Types; |
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7061
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use 5.010_001; |
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4682
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use strictures 2; |
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5981
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use DBIx::Class::Sims; |
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DBIx::Class::Sims->set_sim_types({ |
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map { $_ => __PACKAGE__->can($_) } qw( |
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email_address ip_address |
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us_firstname us_lastname us_name |
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us_address us_city us_county us_phone us_ssntin us_state us_zipcode |
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) |
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}); |
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use String::Random qw( random_regex random_string ); |
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{ |
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my @tlds = qw( |
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com net org gov mil co.uk co.es |
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); |
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sub email_address { |
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my ($info) = @_; |
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my $size = $info->{size} // 7; |
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if ( $size < 7 ) { |
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return ''; |
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} |
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my $tld = $tlds[rand @tlds]; |
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while ( $size - length($tld) < 4 ) { |
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$tld = $tlds[rand @tlds]; |
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} |
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37
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# Don't always create an address to fill the full amount. |
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if ( $size > 20 && rand() < .5 ) { |
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$size -= int(rand($size-20)); |
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} |
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42
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$size -= length($tld) + 1 + 1; # + . for $tld + @ |
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# Split size evenly-ish, but with randomness |
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my $acct_size = int($size/2); |
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$size -= $acct_size; |
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48
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my $acct = random_string( "0"x$acct_size, ['a'..'z','A'..'Z','0'..'9'] ); |
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if ( $acct_size > 5 && rand() < 0.1 ) { |
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my $n = int(rand($acct_size - 4)) + 2; |
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substr($acct, $n, 1) = '+'; |
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} |
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54
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my $domain = random_string( "c"x$size ); |
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if ( $size > 5 ) { |
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my $n = int(rand($size - 4)) + 2; |
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substr($domain, $n, 1) = '.'; |
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} |
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60
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return "${acct}\@${domain}.${tld}"; |
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} |
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} |
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64
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sub ip_address { |
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return join '.', map { int(rand(255)) + 1 } 1 .. 4; |
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} |
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68
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{ |
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my @street_names = qw( |
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Main Court House Mill Wood Millwood |
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First Second Third Fourth Fifth Sixth Seventh Eight Ninth |
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Magnolia Acacia Poppy Cherry Rose Daisy Daffodil |
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); |
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75
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my @street_types = qw( |
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Street Drive Place Avenue Boulevard Lane |
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St Dr Pl Av Ave Blvd Ln |
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St. Dr. Pl. Av. Ave. Blvd. Ln. |
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); |
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81
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sub us_address { |
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# Assume a varchar-like column type with enough space. |
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84
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if ( rand() < .7 ) { |
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# We want to change this so that distribution is by number of digits, then |
86
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# randomly within the numbers. |
87
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my $number = int(rand(99999)); |
88
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89
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my $street_name = $street_names[rand @street_names]; |
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my $street_type = $street_types[rand @street_types]; |
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92
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return "$number $street_name $street_type"; |
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} |
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else { |
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my $po = rand() < .5 ? 'PO' : 'P.O.'; |
96
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return "$po Box " . int(rand(9999)); |
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} |
98
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} |
99
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} |
100
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101
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{ |
102
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my @city_names = qw( |
103
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Ithaca Jonestown Marysville Ripon Minneapolis Miami Paris London Columbus |
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); |
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push @city_names, ( |
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'New York', 'Los Angeles', 'Montego By The Bay', |
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); |
108
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109
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sub us_city { |
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# Assume a varchar-like column type with enough space. |
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return $city_names[rand @city_names]; |
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} |
113
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} |
114
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115
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{ |
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my @county_names = qw( |
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Adams Madison Washinton Union Clark |
118
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); |
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120
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sub us_county { |
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# Assume a varchar-like column type with enough space. |
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return $county_names[rand @county_names]; |
123
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} |
124
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} |
125
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126
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{ |
127
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my @first_names = qw( |
128
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Aidan Bill Charles Doug Evan Frank George Hunter Ilya Jeff Kilgore |
129
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Liam Michael Nathan Oscar Perry Robert Shawn Thomas Urkul Victor Xavier |
130
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131
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Alexandra Betty Camille Debra Ellen Fatima Georgette Hettie Imay Jaime |
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Kathrine Leticia Margaret Nellie Ophelia Patsy Regina Sybil Tricia Valerie |
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); |
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135
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sub us_firstname { |
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# Assume a varchar-like column type with enough space. |
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return $first_names[rand @first_names], |
138
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} |
139
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} |
140
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141
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{ |
142
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my @last_names = qw( |
143
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Jones Smith Taylor Kinyon Williams Shaner Perry Raymond Moore O'Malley |
144
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); |
145
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# Some last names are two words. |
146
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push @last_names, ( |
147
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"Von Trapp", "Van Kirk", |
148
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); |
149
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150
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sub us_lastname { |
151
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# Assume a varchar-like column type with enough space. |
152
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return $last_names[rand @last_names], |
153
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} |
154
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} |
155
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156
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{ |
157
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my @letters = ( 'A' .. 'Z' ); |
158
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159
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my @suffixes = ( |
160
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'Jr', 'Sr', 'II', 'III', 'IV', 'Esq.', |
161
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); |
162
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163
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sub us_name { |
164
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# Assume a varchar-like column type with enough space. |
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166
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my @name = us_firstname(@_); |
167
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168
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# 10% chance of adding a middle initial |
169
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if ( rand() < 0.1 ) { |
170
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push @name, $letters[rand @letters] . '.'; |
171
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} |
172
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173
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push @name, us_lastname(@_); |
174
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175
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# 10% chance of adding a suffix |
176
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if ( rand() < 0.1 ) { |
177
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push @name, $suffixes[rand @suffixes]; |
178
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} |
179
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180
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return join ' ', @name; |
181
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} |
182
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} |
183
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184
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sub us_phone { |
185
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my ($info) = @_; |
186
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187
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# Assume a varchar-like column type. |
188
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my $length = $info->{size} // 8; |
189
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if ( $length < 7 ) { |
190
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return ''; |
191
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} |
192
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elsif ( $length == 7 ) { |
193
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return random_regex('\d{7}'); |
194
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} |
195
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elsif ( $length < 10 ) { |
196
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return random_regex('\d{3}-\d{4}'); |
197
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} |
198
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elsif ( $length < 12 ) { |
199
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return random_regex('\d{10}'); |
200
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} |
201
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elsif ( $length == 12 ) { |
202
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return random_regex('\d{3}-\d{3}-\d{4}'); |
203
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} |
204
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# random_regex() throws a warning no matter how I try to specify the parens. |
205
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# It does the right thing, but noisily. So, just concatenate them. |
206
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elsif ( $length == 13 ) { |
207
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return '(' . random_regex('\d{3}') . ')' . random_regex('\d{3}-\d{4}'); |
208
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} |
209
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else { #if ( $length >= 14 ) { |
210
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return '(' . random_regex('\d{3}') . ') ' . random_regex('\d{3}-\d{4}'); |
211
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} |
212
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} |
213
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214
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sub us_ssntin { |
215
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# Give strong preference to a SSN |
216
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if ( rand() < .8 ) { |
217
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return random_regex('\d{3}-\d{2}-\d{4}'); |
218
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} |
219
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# But still generate employer TINs to mix it up. |
220
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else { |
221
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return random_regex('\d{2}-\d{7}'); |
222
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} |
223
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} |
224
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225
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{ |
226
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my @states = ( |
227
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[ AL => 'Alabama' ], |
228
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[ AK => 'Alaska' ], |
229
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[ AZ => 'Arizona' ], |
230
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[ AR => 'Arkansas' ], |
231
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[ CA => 'California' ], |
232
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[ CO => 'Colorado' ], |
233
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[ CT => 'Connecticut' ], |
234
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[ DE => 'Delaware' ], |
235
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[ FL => 'Florida' ], |
236
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[ GA => 'Georgia' ], |
237
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[ HI => 'Hawaii' ], |
238
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[ ID => 'Idaho' ], |
239
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[ IL => 'Illinois' ], |
240
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[ IN => 'Indiana' ], |
241
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[ IA => 'Iowa' ], |
242
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[ KS => 'Kansas' ], |
243
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[ KY => 'Kentucky' ], |
244
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[ LA => 'Louisiana' ], |
245
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[ ME => 'Maine' ], |
246
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[ MD => 'Maryland' ], |
247
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[ MA => 'Massachusetts' ], |
248
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[ MI => 'Michigan' ], |
249
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[ MN => 'Minnesota' ], |
250
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[ MS => 'Mississippi' ], |
251
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[ MO => 'Missouri' ], |
252
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[ MT => 'Montana' ], |
253
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[ NE => 'Nebraska' ], |
254
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[ NJ => 'New Jersey' ], |
255
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[ NH => 'New Hampshire' ], |
256
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[ NV => 'Nevada' ], |
257
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[ NM => 'New Mexico' ], |
258
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[ NY => 'New York' ], |
259
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[ NC => 'North Carolina' ], |
260
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[ ND => 'North Dakota' ], |
261
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[ OH => 'Ohio' ], |
262
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[ OK => 'Oklahoma' ], |
263
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[ OR => 'Oregon' ], |
264
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[ PA => 'Pennsylvania' ], |
265
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[ RI => 'Rhode Island' ], |
266
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[ SC => 'South Carolina' ], |
267
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[ SD => 'South Dakota' ], |
268
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[ TN => 'Tennessee' ], |
269
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[ TX => 'Texas' ], |
270
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[ UT => 'Utah' ], |
271
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[ VT => 'Vermont' ], |
272
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[ VA => 'Virginia' ], |
273
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[ WA => 'Washington' ], |
274
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[ WV => 'West Virginia' ], |
275
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[ WI => 'Wisconsin' ], |
276
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[ WY => 'Wyoming' ], |
277
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# These are territories, not states, but that's okay. |
278
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[ AS => 'American Samoa' ], |
279
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[ DC => 'District Of Columbia' ], |
280
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[ GU => 'Guam' ], |
281
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[ MD => 'Midway Islands' ], |
282
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[ NI => 'Northern Mariana Islands' ], |
283
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[ PR => 'Puerto Rico' ], |
284
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[ VI => 'Virgin Islands' ], |
285
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); |
286
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sub us_state { |
287
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my ($info) = @_; |
288
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289
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# Assume a varchar-like column type. |
290
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my $length = $info->{size} // 2; |
291
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if ( $length == 2 ) { |
292
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return $states[rand @states][0]; |
293
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} |
294
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return substr($states[rand @states][1], 0, $length); |
295
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} |
296
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} |
297
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298
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sub us_zipcode { |
299
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|
my ($info) = @_; |
300
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301
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my $datatype = $info->{data_type}; |
302
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|
if ( $datatype eq 'varchar' || $datatype eq 'char' ) { |
303
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my $length = $info->{size} // 9; |
304
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|
if ( $length < 5 ) { |
305
|
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|
return ''; |
306
|
|
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} |
307
|
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|
elsif ( $length < 9 ) { |
308
|
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|
return random_regex('\d{5}'); |
309
|
|
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|
} |
310
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|
elsif ( $length == 9 ) { |
311
|
|
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|
return random_regex('\d{9}'); |
312
|
|
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} |
313
|
|
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|
else { |
314
|
|
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|
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|
|
return random_regex('\d{5}-\d{4}'); |
315
|
|
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|
|
|
|
} |
316
|
|
|
|
|
|
|
} |
317
|
|
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|
# Treat it as an int. |
318
|
|
|
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|
|
else { |
319
|
|
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|
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|
|
return int(rand(99999)); |
320
|
|
|
|
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|
|
} |
321
|
|
|
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|
|
|
} |
322
|
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323
|
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1; |
324
|
|
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|
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|
|
__END__ |
325
|
|
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326
|
|
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|
|
=head1 NAME |
327
|
|
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|
328
|
|
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|
|
|
DBIx::Class::Sims::Types |
329
|
|
|
|
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|
330
|
|
|
|
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|
|
=head1 PURPOSE |
331
|
|
|
|
|
|
|
|
332
|
|
|
|
|
|
|
These are pre-defined sim types for using with L<DBIx::Class::Sims>. |
333
|
|
|
|
|
|
|
|
334
|
|
|
|
|
|
|
=head2 TYPES |
335
|
|
|
|
|
|
|
|
336
|
|
|
|
|
|
|
The following sim types are pre-defined: |
337
|
|
|
|
|
|
|
|
338
|
|
|
|
|
|
|
=over 4 |
339
|
|
|
|
|
|
|
|
340
|
|
|
|
|
|
|
=item * email_address |
341
|
|
|
|
|
|
|
|
342
|
|
|
|
|
|
|
This generates a reasonable-looking email address. The account and server names |
343
|
|
|
|
|
|
|
are randomly generated. The TLD is selected from a list of TLDs, including |
344
|
|
|
|
|
|
|
'co.uk' (so be warned). If the server name is large enough, a '.' will be added |
345
|
|
|
|
|
|
|
to create a 2-level name. |
346
|
|
|
|
|
|
|
|
347
|
|
|
|
|
|
|
There is a small chance that a more complex email address will be used. These |
348
|
|
|
|
|
|
|
email addresses are ones that are more likely to break poorly-written validator |
349
|
|
|
|
|
|
|
checks. Some real-life (completely legal) examples are: |
350
|
|
|
|
|
|
|
|
351
|
|
|
|
|
|
|
=over 4 |
352
|
|
|
|
|
|
|
|
353
|
|
|
|
|
|
|
=item * rob.kinyon+lists@gmail.com |
354
|
|
|
|
|
|
|
|
355
|
|
|
|
|
|
|
=back |
356
|
|
|
|
|
|
|
|
357
|
|
|
|
|
|
|
=item * ip_address |
358
|
|
|
|
|
|
|
|
359
|
|
|
|
|
|
|
This generates a reasonable-looking IP address. |
360
|
|
|
|
|
|
|
|
361
|
|
|
|
|
|
|
=item * us_address |
362
|
|
|
|
|
|
|
|
363
|
|
|
|
|
|
|
This generates a reasonable-looking US street address. The address will be one |
364
|
|
|
|
|
|
|
of these forms: |
365
|
|
|
|
|
|
|
|
366
|
|
|
|
|
|
|
=over 4 |
367
|
|
|
|
|
|
|
|
368
|
|
|
|
|
|
|
=item * "#### Name Type", so something like "123 Main Street" |
369
|
|
|
|
|
|
|
|
370
|
|
|
|
|
|
|
=item * "PO Box ####", so something like "PO Box 13579" |
371
|
|
|
|
|
|
|
|
372
|
|
|
|
|
|
|
=item * "P.O. Box ####", so something like "P.O. Box 97531" |
373
|
|
|
|
|
|
|
|
374
|
|
|
|
|
|
|
=back |
375
|
|
|
|
|
|
|
|
376
|
|
|
|
|
|
|
=item * us_city |
377
|
|
|
|
|
|
|
|
378
|
|
|
|
|
|
|
This generates a reasonable-looking US city name. |
379
|
|
|
|
|
|
|
|
380
|
|
|
|
|
|
|
=item * us_county |
381
|
|
|
|
|
|
|
|
382
|
|
|
|
|
|
|
This generates a reasonable-looking US county name. |
383
|
|
|
|
|
|
|
|
384
|
|
|
|
|
|
|
=item * us_firstname |
385
|
|
|
|
|
|
|
|
386
|
|
|
|
|
|
|
This generates a reasonable-looking US person first name. It will be randomized |
387
|
|
|
|
|
|
|
as to gender. |
388
|
|
|
|
|
|
|
|
389
|
|
|
|
|
|
|
=item * us_lastname |
390
|
|
|
|
|
|
|
|
391
|
|
|
|
|
|
|
This generates a reasonable-looking US person last name. It may contain one |
392
|
|
|
|
|
|
|
word, two words, or an apostrophized word. |
393
|
|
|
|
|
|
|
|
394
|
|
|
|
|
|
|
=item * us_name |
395
|
|
|
|
|
|
|
|
396
|
|
|
|
|
|
|
This generates a reasonable-looking US person name. The first and last names |
397
|
|
|
|
|
|
|
will be generated from us_firstname and us_lastname, respectively. There is a |
398
|
|
|
|
|
|
|
small chance a suffix will be appended. |
399
|
|
|
|
|
|
|
|
400
|
|
|
|
|
|
|
=item * us_phone |
401
|
|
|
|
|
|
|
|
402
|
|
|
|
|
|
|
This generates a reasonable-looking US phone-number, based on the size of the |
403
|
|
|
|
|
|
|
column being filled. The column is assumed to be a character-type column |
404
|
|
|
|
|
|
|
(varchar, etc). If the size of the column is less than 10, there will be no area |
405
|
|
|
|
|
|
|
code. If there is space, hyphens and parentheses will be added in the right |
406
|
|
|
|
|
|
|
places. If the column is long enough, the value will look like "(###) ###-####" |
407
|
|
|
|
|
|
|
|
408
|
|
|
|
|
|
|
Phone extensions are not supported at this time. |
409
|
|
|
|
|
|
|
|
410
|
|
|
|
|
|
|
=item * us_ssntin |
411
|
|
|
|
|
|
|
|
412
|
|
|
|
|
|
|
This generates a reasonable-looking US Social Security Number (SSN) or Tax |
413
|
|
|
|
|
|
|
Identification Number (TIN). These are government identifiers that are often |
414
|
|
|
|
|
|
|
usable as unique personal IDs. An SSN is a personal ID number and a TIN is a |
415
|
|
|
|
|
|
|
corporate ID number. |
416
|
|
|
|
|
|
|
|
417
|
|
|
|
|
|
|
=item * us_state |
418
|
|
|
|
|
|
|
|
419
|
|
|
|
|
|
|
This generates a random US state or territory (so 57 choices). The column is |
420
|
|
|
|
|
|
|
assumed to be able to take a US state as a value. If the size of the column is 2 |
421
|
|
|
|
|
|
|
(the default), then the abbreviation will be returned. Otherwise, the first N |
422
|
|
|
|
|
|
|
characters of the name (where N is the size) will be returned. |
423
|
|
|
|
|
|
|
|
424
|
|
|
|
|
|
|
=item * us_zipcode |
425
|
|
|
|
|
|
|
|
426
|
|
|
|
|
|
|
This generates a reasonable-looking US zipcode. If the column is numeric, it |
427
|
|
|
|
|
|
|
generates a number between 1 and 99999. Otherwise, it generates a legal string |
428
|
|
|
|
|
|
|
of numbers (with a possible dash for a 5+4) that will fit within the column's |
429
|
|
|
|
|
|
|
width. |
430
|
|
|
|
|
|
|
|
431
|
|
|
|
|
|
|
=back |
432
|
|
|
|
|
|
|
|
433
|
|
|
|
|
|
|
The reason why several of the pre-defined sim types have the country prefixed is |
434
|
|
|
|
|
|
|
because different countries do things differently. (Shocker, I know!) |
435
|
|
|
|
|
|
|
|
436
|
|
|
|
|
|
|
=head1 AUTHOR |
437
|
|
|
|
|
|
|
|
438
|
|
|
|
|
|
|
Rob Kinyon <rob.kinyon@gmail.com> |
439
|
|
|
|
|
|
|
|
440
|
|
|
|
|
|
|
=head1 LICENSE |
441
|
|
|
|
|
|
|
|
442
|
|
|
|
|
|
|
Copyright (c) 2013 Rob Kinyon. All Rights Reserved. |
443
|
|
|
|
|
|
|
This is free software, you may use it and distribute it under the same terms |
444
|
|
|
|
|
|
|
as Perl itself. |
445
|
|
|
|
|
|
|
|
446
|
|
|
|
|
|
|
=cut |