Levenshtein distance/Alignment: Difference between revisions

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(Simpler D entry)
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immutable s1 = "rosettacode";
immutable s1 = "rosettacode";
immutable s2 = "raisethysword";
immutable s2 = "raisethysword";
const dd = levenshteinDistanceAndPath(s1, s2);

// EditOp Key:
// n = none. Current items are equal, no editing is necessary.
// s = substitute current target item with current source item.
// i = insert current item from the source into the target.
// r = remove current item from the target.
writeln("Levenshtein distance and edit operations:\n", dd, "\n");


string s1b, s2b;
string s1b, s2b;
size_t pos1, pos2;
size_t pos1, pos2;


foreach (immutable c; dd[1]) {
foreach (immutable c; levenshteinDistanceAndPath(s1, s2)[1]) {
final switch (c) with (EditOp) {
final switch (c) with (EditOp) {
case none, substitute:
case none, substitute:
Line 48: Line 40:
}
}


writeln("Alignments:\n", s1b, "\n", s2b);
writeln(s1b, "\n", s2b);
}</lang>
}</lang>
{{out}}
{{out}}
<pre>r_oset_tacode
<pre>Levenshtein distance and edit operations:
const(Tuple!(uint, EditOp[]))(8, nisnnnisssnss)

Alignments:
r_oset_tacode
raisethysword</pre>
raisethysword</pre>



Revision as of 18:09, 8 May 2013

Levenshtein distance/Alignment is a draft programming task. It is not yet considered ready to be promoted as a complete task, for reasons that should be found in its talk page.

The Levenshtein distance algorithm returns the number of atomic operations (insertion, deletion or edition) that must be performed on a string in order to obtain an other one, but it does not say anything about the actual operations used or their order.

An alignment is a notation used to describe the operations used to turn a string into an other. At some point in the strings, the minus character ('-') is placed in order to signify that a character must be added at this very place. For instance, an alignment between the words 'place' and 'palace' is:

P-LACE
PALACE

For this task, write a function that shows the alignment of two strings for the corresponding levenshtein distance. As an example, use the words "rosettacode" and "raisethysword".

You can either implement an algorithm, or use a dedicated library (thus showing us how it is named in your language).

D

Using the standard library. <lang d>void main() {

   import std.stdio, std.algorithm;
   immutable s1 = "rosettacode";
   immutable s2 = "raisethysword";
   string s1b, s2b;
   size_t pos1, pos2;
   foreach (immutable c; levenshteinDistanceAndPath(s1, s2)[1]) {
       final switch (c) with (EditOp) {
           case none, substitute:
               s1b ~= s1[pos1++];
               s2b ~= s2[pos2++];
               break;
           case insert:
               s1b ~= "_";
               s2b ~= s2[pos2++];
               break;
           case remove:
               s1b ~= s1[pos1++];
               s2b ~= "_";
               break;
       }
   }
   writeln(s1b, "\n", s2b);

}</lang>

Output:
r_oset_tacode
raisethysword

Perl

<lang perl>use strict; use warnings;

use List::Util qw(min);

sub levenshtein_distance_alignment {

   my @s = ('^', split //, shift);
   my @t = ('^', split //, shift);

   my @A;
   @{$A[$_][0]}{qw(d s t)} = ($_, join(, @s[1 .. $_]), ('~' x $_)) for 0 .. $#s;
   @{$A[0][$_]}{qw(d s t)} = ($_, ('-' x $_), join , @t[1 .. $_])  for 0 .. $#t;
   for my $i (1 .. $#s) {
       for my $j (1 .. $#t) {

if ($s[$i] ne $t[$j]) { $A[$i][$j]{d} = 1 + ( my $min = min $A[$i-1][$j]{d}, $A[$i][$j-1]{d}, $A[$i-1][$j-1]{d} ); @{$A[$i][$j]}{qw(s t)} = $A[$i-1][$j]{d} == $min ? ($A[$i-1][$j]{s}.$s[$i], $A[$i-1][$j]{t}.'-') : $A[$i][$j-1]{d} == $min ? ($A[$i][$j-1]{s}.'-', $A[$i][$j-1]{t}.$t[$j]) : ($A[$i-1][$j-1]{s}.$s[$i], $A[$i-1][$j-1]{t}.$t[$j]); }

           else {

@{$A[$i][$j]}{qw(d s t)} = ( $A[$i-1][$j-1]{d}, $A[$i-1][$j-1]{s}.$s[$i], $A[$i-1][$j-1]{t}.$t[$j] );

           }
       }
   }
   return @{$A[-1][-1]}{'s', 't'};

}

print join "\n", levenshtein_distance_alignment "rosettacode", "raisethysword";</lang>

Output:
ro-settac-o-de
raisethysword-

Perl 6

Translation of: Perl

<lang Perl 6>sub align ( Str $σ, Str $t ) {

   my @s = *, $σ.comb;
   my @t = *, $t.comb;
    
   my @A;
   @A[$_][ 0]<d s t> = $_, @s[1..$_].join, '-' x $_ for ^@s;
   @A[ 0][$_]<d s t> = $_, '-' x $_, @t[1..$_].join for ^@t;
    
   for 1 ..^ @s X 1..^ @t -> \i, \j {

if @s[i] ne @t[j] { @A[i][j]<d> = 1 + my $min = min @A[i-1][j]<d>, @A[i][j-1]<d>, @A[i-1][j-1]<d>; @A[i][j] = @A[i-1][j]<d> == $min ?? (@A[i-1][j] Z~ @s[i], '-') !! @A[i][j-1]<d> == $min ?? (@A[i][j-1] Z~ '-', @t[j]) !! (@A[i-1][j-1] Z~ @s[i], @t[j]); } else { @A[i][j]<d s t> = @A[i-1][j-1]<d s t> Z~ , @s[i], @t[j]; }

   }
    
   return @A[*-1][*-1];

}

.say for align |<rosettacode raisethysword>;</lang>

Output:
ro-settac-o-de
raisethysword-

Racket

This solution only computes the distance. See http://blog.racket-lang.org/2012/08/dynamic-programming-versus-memoization.html for a discussion of the code.

<lang racket>#lang racket

(define (memoize f)

 (local ([define table (make-hash)])
   (lambda args
     (dict-ref! table args (λ () (apply f args))))))

(define levenshtein

 (memoize
  (lambda (s t)
    (cond
      [(and (empty? s) (empty? t)) 0]
      [(empty? s) (length t)]
      [(empty? t) (length s)]
      [else
       (if (equal? (first s) (first t))
           (levenshtein (rest s) (rest t))
           (min (add1 (levenshtein (rest s) t))
                (add1 (levenshtein s (rest t)))
                (add1 (levenshtein (rest s) (rest t)))))]))))</lang>

Demonstration: <lang racket>(levenshtein (string->list "rosettacode")

            (string->list "raisethysword"))</lang>