"LCS"¶

Given references to two lists of items, LCS returns an array containing their longest common subsequence. In scalar context, it returns a reference to such a list.

    @lcs    = LCS( \@seq1, \@seq2 );
    $lcsref = LCS( \@seq1, \@seq2 );

"LCS" may be passed an optional third parameter; this is a CODE reference to a key generation function. See "KEY GENERATION FUNCTIONS".

    @lcs    = LCS( \@seq1, \@seq2, \&keyGen, @args );
    $lcsref = LCS( \@seq1, \@seq2, \&keyGen, @args );

Additional parameters, if any, will be passed to the key generation routine.

"LCS_length"¶

This is just like "LCS" except it only returns the length of the longest common subsequence. This provides a performance gain of about 9% compared to "LCS".

"LCSidx"¶

Like "LCS" except it returns references to two arrays. The first array contains the indices into @seq1 where the LCS items are located. The second array contains the indices into @seq2 where the LCS items are located.

Therefore, the following three lists will contain the same values:

    my( $idx1, $idx2 ) = LCSidx( \@seq1, \@seq2 );
    my @list1 = @seq1[ @$idx1 ];
    my @list2 = @seq2[ @$idx2 ];
    my @list3 = LCS( \@seq1, \@seq2 );

"new"¶

    $diff = Algorithm::Diffs->new( \@seq1, \@seq2 );
    $diff = Algorithm::Diffs->new( \@seq1, \@seq2, \%opts );

"new" computes the smallest set of additions and deletions necessary to turn the first sequence into the second and compactly records them in the object.

You use the object to iterate over hunks, where each hunk represents a contiguous section of items which should be added, deleted, replaced, or left unchanged.

    [ ]     Encloses optional arguments
    :       Is followed by the default value for an optional argument
    |       Separates alternate return results

    $obj        = Algorithm::Diff->new( \@seq1, \@seq2, [ \%opts ] );
    $pos        = $obj->Next(  [ $count : 1 ] );
    $revPos     = $obj->Prev(  [ $count : 1 ] );
    $obj        = $obj->Reset( [ $pos : 0 ] );
    $copy       = $obj->Copy(  [ $pos, [ $newBase ] ] );
    $oldBase    = $obj->Base(  [ $newBase ] );

    $bits       = $obj->Diff(  );
    @items|$cnt = $obj->Same(  );
    @items|$cnt = $obj->Items( $seqNum );
    @idxs |$cnt = $obj->Range( $seqNum, [ $base ] );
    $minIdx     = $obj->Min(   $seqNum, [ $base ] );
    $maxIdx     = $obj->Max(   $seqNum, [ $base ] );
    @values     = $obj->Get(   @names );

    $pos = $diff->Next();    # Move forward 1 hunk
    $pos = $diff->Next( 2 ); # Move forward 2 hunks
    $pos = $diff->Next(-5);  # Move backward 5 hunks

    $diff->Reset();     # Reset the object's position
    $diff->Reset($pos); # Move to the specified hunk
    $diff->Reset(1);    # Move to the first hunk
    $diff->Reset(-1);   # Move to the last hunk

    $copy = $diff->Copy( $newPos, $newBase );

    $copy = $diff->Copy($pos);
    $copy = $diff->Copy();
    $copy->Reset($pos);
    $copy = $diff->Copy()->Reset($pos);

    $copy = $diff->Copy();
    $copy->Base( 0 );
    $copy = $diff->Copy(undef,0);

    $copy = $diff->Copy(0);
    $copy = $diff->Copy()->Reset();

    $bits = $obj->Diff();

    $count = $diff->Items(2);
    @items = $diff->Items($seqNum);

    @items = $diff->Items(1);
    @items = $diff->Items(2);
    @items = $diff->Same();

    $count = $diff->Range( $seqNum );
    @indices = $diff->Range( $seqNum );
    @indices = $diff->Range( $seqNum, $base );

    @list = $diff->Items(2);
    @list = @seq2[ $diff->Range(2) ];

    @list = $diff->Items(1);
    @list = @seq1[ $diff->Range(1,0) ];

    $curBase = $diff->Base();
    $oldBase = $diff->Base($newBase);

    $min1 = $diff->Min(1);
    $min = $diff->Min( $seqNum, $base );

    ( $n, $x, $r ) = $diff->Get(qw( min1 max1 range1 ));
    @values = $diff->Get(qw( 0min2 1max2 range2 same base ));

    /^(-?\d+)?(min|max)[12]$/i
    /^(range[12]|same|diff|base)$/i

    $diff->Get('min1') == $diff->Min(1)
    $diff->Get('0min2') == $diff->Min(2,0)

"prepare"¶

Given a reference to a list of items, "prepare" returns a reference to a hash which can be used when comparing this sequence to other sequences with "LCS" or "LCS_length".

    $prep = prepare( \@seq1 );
    for $i ( 0 .. 10_000 )
    {
        @lcs = LCS( $prep, $seq[$i] );
        # do something useful with @lcs
    }

"prepare" may be passed an optional third parameter; this is a CODE reference to a key generation function. See "KEY GENERATION FUNCTIONS".

    $prep = prepare( \@seq1, \&keyGen );
    for $i ( 0 .. 10_000 )
    {
        @lcs = LCS( $seq[$i], $prep, \&keyGen );
        # do something useful with @lcs
    }

Using "prepare" provides a performance gain of about 50% when calling LCS many times compared with not preparing.

"diff"¶

    @diffs     = diff( \@seq1, \@seq2 );
    $diffs_ref = diff( \@seq1, \@seq2 );

"diff" computes the smallest set of additions and deletions necessary to turn the first sequence into the second, and returns a description of these changes. The description is a list of hunks; each hunk represents a contiguous section of items which should be added, deleted, or replaced. (Hunks containing unchanged items are not included.)

The return value of "diff" is a list of hunks, or, in scalar context, a reference to such a list. If there are no differences, the list will be empty.

Here is an example. Calling "diff" for the following two sequences:

    a b c e h j l m n p
    b c d e f j k l m r s t

would produce the following list:

    (
      [ [ '-', 0, 'a' ] ],
      [ [ '+', 2, 'd' ] ],
      [ [ '-', 4, 'h' ],
        [ '+', 4, 'f' ] ],
      [ [ '+', 6, 'k' ] ],
      [ [ '-',  8, 'n' ],
        [ '-',  9, 'p' ],
        [ '+',  9, 'r' ],
        [ '+', 10, 's' ],
        [ '+', 11, 't' ] ],
    )

There are five hunks here. The first hunk says that the "a" at position 0 of the first sequence should be deleted ("-"). The second hunk says that the "d" at position 2 of the second sequence should be inserted ("+"). The third hunk says that the "h" at position 4 of the first sequence should be removed and replaced with the "f" from position 4 of the second sequence. And so on.

"diff" may be passed an optional third parameter; this is a CODE reference to a key generation function. See "KEY GENERATION FUNCTIONS".

Additional parameters, if any, will be passed to the key generation routine.

"sdiff"¶

    @sdiffs     = sdiff( \@seq1, \@seq2 );
    $sdiffs_ref = sdiff( \@seq1, \@seq2 );

"sdiff" computes all necessary components to show two sequences and their minimized differences side by side, just like the Unix-utility sdiff does:

    same             same
    before     |     after
    old        <     -
    -          >     new

It returns a list of array refs, each pointing to an array of display instructions. In scalar context it returns a reference to such a list. If there are no differences, the list will have one entry per item, each indicating that the item was unchanged.

Display instructions consist of three elements: A modifier indicator ("+": Element added, "-": Element removed, "u": Element unmodified, "c": Element changed) and the value of the old and new elements, to be displayed side-by-side.

An "sdiff" of the following two sequences:

    a b c e h j l m n p
    b c d e f j k l m r s t

results in

    ( [ '-', 'a', ''  ],
      [ 'u', 'b', 'b' ],
      [ 'u', 'c', 'c' ],
      [ '+', '',  'd' ],
      [ 'u', 'e', 'e' ],
      [ 'c', 'h', 'f' ],
      [ 'u', 'j', 'j' ],
      [ '+', '',  'k' ],
      [ 'u', 'l', 'l' ],
      [ 'u', 'm', 'm' ],
      [ 'c', 'n', 'r' ],
      [ 'c', 'p', 's' ],
      [ '+', '',  't' ],
    )

"sdiff" may be passed an optional third parameter; this is a CODE reference to a key generation function. See "KEY GENERATION FUNCTIONS".

Additional parameters, if any, will be passed to the key generation routine.

"compact_diff"¶

"compact_diff" is much like "sdiff" except it returns a much more compact description consisting of just one flat list of indices. An example helps explain the format:

    my @a = qw( a b c   e  h j   l m n p      );
    my @b = qw(   b c d e f  j k l m    r s t );
    @cdiff = compact_diff( \@a, \@b );
    # Returns:
    #   @a      @b       @a       @b
    #  start   start   values   values
    (    0,      0,   #       =
         0,      0,   #    a  !
         1,      0,   #  b c  =  b c
         3,      2,   #       !  d
         3,      3,   #    e  =  e
         4,      4,   #    f  !  h
         5,      5,   #    j  =  j
         6,      6,   #       !  k
         6,      7,   #  l m  =  l m
         8,      9,   #  n p  !  r s t
        10,     12,   #
    );

The 0th, 2nd, 4th, etc. entries are all indices into @seq1 (@a in the above example) indicating where a hunk begins. The 1st, 3rd, 5th, etc. entries are all indices into @seq2 (@b in the above example) indicating where the same hunk begins.

So each pair of indices (except the last pair) describes where a hunk begins (in each sequence). Since each hunk must end at the item just before the item that starts the next hunk, the next pair of indices can be used to determine where the hunk ends.

So, the first 4 entries (0..3) describe the first hunk. Entries 0 and 1 describe where the first hunk begins (and so are always both 0). Entries 2 and 3 describe where the next hunk begins, so subtracting 1 from each tells us where the first hunk ends. That is, the first hunk contains items $diff[0] through "$diff[2] - 1" of the first sequence and contains items $diff[1] through "$diff[3] - 1" of the second sequence.

In other words, the first hunk consists of the following two lists of items:

               #  1st pair     2nd pair
               # of indices   of indices
    @list1 = @a[ $cdiff[0] .. $cdiff[2]-1 ];
    @list2 = @b[ $cdiff[1] .. $cdiff[3]-1 ];
               # Hunk start   Hunk end

Note that the hunks will always alternate between those that are part of the LCS (those that contain unchanged items) and those that contain changes. This means that all we need to be told is whether the first hunk is a 'same' or 'diff' hunk and we can determine which of the other hunks contain 'same' items or 'diff' items.

By convention, we always make the first hunk contain unchanged items. So the 1st, 3rd, 5th, etc. hunks (all odd-numbered hunks if you start counting from 1) all contain unchanged items. And the 2nd, 4th, 6th, etc. hunks (all even-numbered hunks if you start counting from 1) all contain changed items.

Since @a and @b don't begin with the same value, the first hunk in our example is empty (otherwise we'd violate the above convention). Note that the first 4 index values in our example are all zero. Plug these values into our previous code block and we get:

    @hunk1a = @a[ 0 .. 0-1 ];
    @hunk1b = @b[ 0 .. 0-1 ];

And "0..-1" returns the empty list.

Move down one pair of indices (2..5) and we get the offset ranges for the second hunk, which contains changed items.

Since @diff[2..5] contains (0,0,1,0) in our example, the second hunk consists of these two lists of items:

        @hunk2a = @a[ $cdiff[2] .. $cdiff[4]-1 ];
        @hunk2b = @b[ $cdiff[3] .. $cdiff[5]-1 ];
    # or
        @hunk2a = @a[ 0 .. 1-1 ];
        @hunk2b = @b[ 0 .. 0-1 ];
    # or
        @hunk2a = @a[ 0 .. 0 ];
        @hunk2b = @b[ 0 .. -1 ];
    # or
        @hunk2a = ( 'a' );
        @hunk2b = ( );

That is, we would delete item 0 ('a') from @a.

Since @diff[4..7] contains (1,0,3,2) in our example, the third hunk consists of these two lists of items:

        @hunk3a = @a[ $cdiff[4] .. $cdiff[6]-1 ];
        @hunk3a = @b[ $cdiff[5] .. $cdiff[7]-1 ];
    # or
        @hunk3a = @a[ 1 .. 3-1 ];
        @hunk3a = @b[ 0 .. 2-1 ];
    # or
        @hunk3a = @a[ 1 .. 2 ];
        @hunk3a = @b[ 0 .. 1 ];
    # or
        @hunk3a = qw( b c );
        @hunk3a = qw( b c );

Note that this third hunk contains unchanged items as our convention demands.

You can continue this process until you reach the last two indices, which will always be the number of items in each sequence. This is required so that subtracting one from each will give you the indices to the last items in each sequence.

"traverse_sequences"¶

"traverse_sequences" used to be the most general facility provided by this module (the new OO interface is more powerful and much easier to use).

Imagine that there are two arrows. Arrow A points to an element of sequence A, and arrow B points to an element of the sequence B. Initially, the arrows point to the first elements of the respective sequences. "traverse_sequences" will advance the arrows through the sequences one element at a time, calling an appropriate user-specified callback function before each advance. It willadvance the arrows in such a way that if there are equal elements $A[$i] and $B[$j] which are equal and which are part of the LCS, there will be some moment during the execution of "traverse_sequences" when arrow A is pointing to $A[$i] and arrow B is pointing to $B[$j]. When this happens, "traverse_sequences" will call the "MATCH" callback function and then it will advance both arrows.

Otherwise, one of the arrows is pointing to an element of its sequence that is not part of the LCS. "traverse_sequences" will advance that arrow and will call the "DISCARD_A" or the "DISCARD_B" callback, depending on which arrow it advanced. If both arrows point to elements that are not part of the LCS, then "traverse_sequences" will advance one of them and call the appropriate callback, but it is not specified which it will call.

The arguments to "traverse_sequences" are the two sequences to traverse, and a hash which specifies the callback functions, like this:

    traverse_sequences(
        \@seq1, \@seq2,
        {   MATCH => $callback_1,
            DISCARD_A => $callback_2,
            DISCARD_B => $callback_3,
        }
    );

Callbacks for MATCH, DISCARD_A, and DISCARD_B are invoked with at least the indices of the two arrows as their arguments. They are not expected to return any values. If a callback is omitted from the table, it is not called.

Callbacks for A_FINISHED and B_FINISHED are invoked with at least the corresponding index in A or B.

If arrow A reaches the end of its sequence, before arrow B does, "traverse_sequences" will call the "A_FINISHED" callback when it advances arrow B, if there is such a function; if not it will call "DISCARD_B" instead. Similarly if arrow B finishes first. "traverse_sequences" returns when both arrows are at the ends of their respective sequences. It returns true on success and false on failure. At present there is no way to fail.

"traverse_sequences" may be passed an optional fourth parameter; this is a CODE reference to a key generation function. See "KEY GENERATION FUNCTIONS".

Additional parameters, if any, will be passed to the key generation function.

If you want to pass additional parameters to your callbacks, but don't need a custom key generation function, you can get the default by passing undef:

    traverse_sequences(
        \@seq1, \@seq2,
        {   MATCH => $callback_1,
            DISCARD_A => $callback_2,
            DISCARD_B => $callback_3,
        },
        undef,     # default key-gen
        $myArgument1,
        $myArgument2,
        $myArgument3,
    );

"traverse_sequences" does not have a useful return value; you are expected to plug in the appropriate behavior with the callback functions.

"traverse_balanced"¶

"traverse_balanced" is an alternative to "traverse_sequences". It uses a different algorithm to iterate through the entries in the computed LCS. Instead of sticking to one side and showing element changes as insertions and deletions only, it will jump back and forth between the two sequences and report changes occurring as deletions on one side followed immediatly by an insertion on the other side.

In addition to the "DISCARD_A", "DISCARD_B", and "MATCH" callbacks supported by "traverse_sequences", "traverse_balanced" supports a "CHANGE" callback indicating that one element got "replaced" by another:

    traverse_balanced(
        \@seq1, \@seq2,
        {   MATCH => $callback_1,
            DISCARD_A => $callback_2,
            DISCARD_B => $callback_3,
            CHANGE    => $callback_4,
        }
    );

If no "CHANGE" callback is specified, "traverse_balanced" will map "CHANGE" events to "DISCARD_A" and "DISCARD_B" actions, therefore resulting in a similar behaviour as "traverse_sequences" with different order of events.

"traverse_balanced" might be a bit slower than "traverse_sequences", noticable only while processing huge amounts of data.

The "sdiff" function of this module is implemented as call to "traverse_balanced".

"traverse_balanced" does not have a useful return value; you are expected to plug in the appropriate behavior with the callback functions.