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NAMEText::Levenshtein::Damerau - Damerau Levenshtein edit distance.SYNOPSISuse Text::Levenshtein::Damerau; use warnings; use strict; my @targets = ('fuor','xr','fourrrr','fo'); # Initialize Text::Levenshtein::Damerau object with text to compare against my $tld = Text::Levenshtein::Damerau->new('four'); print $tld->dld($targets[0]); # prints 1 my $tld = $tld->dld({ list => \@targets }); print $tld->{'fuor'}; # prints 1 print $tld->dld_best_match({ list => \@targets }); # prints fuor print $tld->dld_best_distance({ list => \@targets }); # prints 1 # or even more simply use Text::Levenshtein::Damerau qw/edistance/; use warnings; use strict; print edistance('Neil','Niel'); # prints 1 DESCRIPTIONReturns the true Damerau Levenshtein edit distance of strings with adjacent transpositions. Useful for fuzzy matching, DNA variation metrics, and fraud detection.Defaults to using Pure Perl Text::Levenshtein::Damerau::PP, but has an XS addon Text::Levenshtein::Damerau::XS for massive speed imrovements. Works correctly with utf8 if backend supports it; known to work with "Text::Levenshtein::Damerau::PP" and "Text::Levenshtein::Damerau::XS". use utf8; my $tld = Text::Levenshtein::Damerau->new('ⓕⓞⓤⓡ'); print $tld->dld('ⓕⓤⓞⓡ'); # prints 1 CONSTRUCTORnewCreates and returns a "Text::Levenshtein::Damerau" object. Takes a scalar with the text (source) you want to compare against.my $tld = Text::Levenshtein::Damerau->new('Neil'); # Creates a new Text::Levenshtein::Damerau object $tld METHODS$tld->dldScalar Argument: Takes a string to compare with.Returns: an integer representing the edit distance between the source and the passed argument. Hashref Argument: Takes a hashref containing:
Returns: hashref with each word from the passed list as keys, and their edit distance (if less than max_distance, which is unlimited by default). my $tld = Text::Levenshtein::Damerau->new('Neil'); print $tld->dld( 'Niel' ); # prints 1 #or if you want to check the distance of various items in a list my @names_list = ('Niel','Jack'); my $tld = Text::Levenshtein::Damerau->new('Neil'); my $d_ref = $tld->dld({ list=> \@names_list }); # pass a list, returns a hash ref print $d_ref->{'Niel'}; #prints 1 print $d_ref->{'Jack'}; #prints 4 $tld->dld_best_matchArgument: an array reference of strings.Returns: the string with the smallest edit distance between the source and the array of strings passed. Takes distance of $tld source against every item in @targets, then returns the string of the best match. my $tld = Text::Levenshtein::Damerau->new('Neil'); my @name_spellings = ('Niel','Neell','KNiel'); print $tld->dld_best_match({ list=> \@name_spellings }); # prints Niel $tld->dld_best_distanceArguments: an array reference of strings.Returns: the smallest edit distance between the source and the array reference of strings passed. Takes distance of $tld source against every item in the passed array, then returns the smallest edit distance. my $tld = Text::Levenshtein::Damerau->new('Neil'); my @name_spellings = ('Niel','Neell','KNiel'); print $tld->dld_best_distance({ list => \@name_spellings }); # prints 1 EXPORTABLE METHODSedistanceArguments: source string and target string.
Returns: int that represents the edit distance between the two argument. -1 if max distance is set and reached. Wrapper function to take the edit distance between a source and target string. It will attempt to use, in order:
use Text::Levenshtein::Damerau qw/edistance/; print edistance('Neil','Niel'); # prints 1 SEE ALSO
BUGSPlease report bugs to:<https://rt.cpan.org/Public/Dist/Display.html?Name=Text-Levenshtein-Damerau> AUTHORNick Logan <ug@skunkds.com>LICENSE AND COPYRIGHTThis library is free software; you can redistribute it and/or modify it under the same terms as Perl itself.
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