Package difflib.myers

Source Code of difflib.myers.MyersDiff

/*
* ====================================================================
*
* The Apache Software License, Version 1.1
*
* Copyright (c) 1999-2003 The Apache Software Foundation.  All rights
* reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
*    notice, this list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright
*    notice, this list of conditions and the following disclaimer in
*    the documentation and/or other materials provided with the
*    distribution.
*
* 3. The end-user documentation included with the redistribution, if
*    any, must include the following acknowledgement:
*       "This product includes software developed by the
*        Apache Software Foundation (http://www.apache.org/)."
*    Alternately, this acknowledgement may appear in the software itself,
*    if and wherever such third-party acknowledgements normally appear.
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* 5. Products derived from this software may not be called "Apache"
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* This software consists of voluntary contributions made by many
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* <http://www.apache.org/>.
*
*/

package difflib.myers;

import java.lang.reflect.Array;
import java.util.List;

import difflib.ChangeDelta;
import difflib.Chunk;
import difflib.DeleteDelta;
import difflib.Delta;
import difflib.DiffAlgorithm;
import difflib.InsertDelta;
import difflib.Patch;

/**
* A clean-room implementation of <a href="http://www.cs.arizona.edu/people/gene/">
* Eugene Myers</a> differencing algorithm.
*
* <p> See the paper at <a href="http://www.cs.arizona.edu/people/gene/PAPERS/diff.ps">
* http://www.cs.arizona.edu/people/gene/PAPERS/diff.ps</a></p>
*
* @author <a href="mailto:juanco@suigeneris.org">Juanco Anez</a>
*/
public class MyersDiff implements DiffAlgorithm {
    /**
     * Constructs an instance of the Myers differencing algorithm.
     */
    public MyersDiff() {
    }
   
    /**
     * {@inheritDoc}
     *
     * Return empty diff if get the error while procession the difference.
     */
    @Override
    public Patch diff(List<?> original, List<?> revised) {
        return diff(original.toArray(), revised.toArray());
    }
   
    /**
     * {@inheritDoc}
     *
     * Return empty diff if get the error while procession the difference.
     */
    @Override
    public Patch diff(Object[] orig, Object[] rev) {
        PathNode path;
        try {
            path = buildPath(orig, rev);
            return buildRevision(path, orig, rev);
        } catch (DifferentiationFailedException e) {
            e.printStackTrace();
        }
        return new Patch();
    }
   
    /**
     * Computes the minimum diffpath that expresses de differences
     * between the original and revised sequences, according
     * to Gene Myers differencing algorithm.
     *
     * @param orig The original sequence.
     * @param rev The revised sequence.
     * @return A minimum {@link PathNode Path} accross the differences graph.
     * @throws DifferentiationFailedException if a diff path could not be found.
     */
    public static PathNode buildPath(Object[] orig, Object[] rev)
            throws DifferentiationFailedException {
        if (orig == null)
            throw new IllegalArgumentException("original sequence is null");
        if (rev == null)
            throw new IllegalArgumentException("revised sequence is null");
       
        // these are local constants
        final int N = orig.length;
        final int M = rev.length;
       
        final int MAX = N + M + 1;
        final int size = 1 + 2 * MAX;
        final int middle = (size + 1) / 2;
        final PathNode diagonal[] = new PathNode[size];
       
        diagonal[middle + 1] = new Snake(0, -1, null);
        for (int d = 0; d < MAX; d++) {
            for (int k = -d; k <= d; k += 2) {
                final int kmiddle = middle + k;
                final int kplus = kmiddle + 1;
                final int kminus = kmiddle - 1;
                PathNode prev = null;
               
                int i;
                if ((k == -d) || (k != d && diagonal[kminus].i < diagonal[kplus].i)) {
                    i = diagonal[kplus].i;
                    prev = diagonal[kplus];
                } else {
                    i = diagonal[kminus].i + 1;
                    prev = diagonal[kminus];
                }
               
                diagonal[kminus] = null; // no longer used
               
                int j = i - k;
               
                PathNode node = new DiffNode(i, j, prev);
               
                // orig and rev are zero-based
                // but the algorithm is one-based
                // that's why there's no +1 when indexing the sequences
                while (i < N && j < M && orig[i].equals(rev[j])) {
                    i++;
                    j++;
                }
                if (i > node.i)
                    node = new Snake(i, j, node);
               
                diagonal[kmiddle] = node;
               
                if (i >= N && j >= M) {
                    return diagonal[kmiddle];
                }
            }
            diagonal[middle + d - 1] = null;
           
        }
        // According to Myers, this cannot happen
        throw new DifferentiationFailedException("could not find a diff path");
    }
   
    /**
     * Constructs a {@link Revision} from a difference path.
     *
     * @param path The path.
     * @param orig The original sequence.
     * @param rev The revised sequence.
     * @return A {@link Revision} script corresponding to the path.
     * @throws DifferentiationFailedException if a {@link Revision} could
     *         not be built from the given path.
     */
    public static Patch buildRevision(PathNode path, Object[] orig, Object[] rev) {
        if (path == null)
            throw new IllegalArgumentException("path is null");
        if (orig == null)
            throw new IllegalArgumentException("original sequence is null");
        if (rev == null)
            throw new IllegalArgumentException("revised sequence is null");
       
        Patch patch = new Patch();
        if (path.isSnake())
            path = path.prev;
        while (path != null && path.prev != null && path.prev.j >= 0) {
            if (path.isSnake())
                throw new IllegalStateException("bad diffpath: found snake when looking for diff");
            int i = path.i;
            int j = path.j;
           
            path = path.prev;
            int ianchor = path.i;
            int janchor = path.j;
           
            Chunk original = new Chunk(ianchor, i - ianchor, copyOfRange(orig, ianchor, i));
            Chunk revised = new Chunk(janchor, j - janchor, copyOfRange(rev, janchor, j));
            Delta delta = null;
            if (original.getSize() == 0 && revised.getSize() != 0) {
                delta = new InsertDelta(original, revised);
            } else if (original.getSize() > 0 && revised.getSize() == 0) {
                delta = new DeleteDelta(original, revised);
            } else {
                delta = new ChangeDelta(original, revised);
            }
           
            patch.addDelta(delta);
            if (path.isSnake())
                path = path.prev;
        }
        return patch;
    }
   
    /**
     * Copied here from JDK 1.6
    */
   
    @SuppressWarnings("unchecked")
    public static <T> T[] copyOfRange(T[] original, int from, int to) {
        return copyOfRange(original, from, to, (Class<T[]>) original.getClass());
    }
   
    /**
     * Copied here from JDK 1.6
     */
    @SuppressWarnings("unchecked")
    public static <T, U> T[] copyOfRange(U[] original, int from, int to,
            Class<? extends T[]> newType) {
        int newLength = to - from;
        if (newLength < 0)
            throw new IllegalArgumentException(from + " > " + to);
        T[] copy = ((Object) newType == (Object) Object[].class) ? (T[]) new Object[newLength]
                : (T[]) Array.newInstance(newType.getComponentType(), newLength);
        System.arraycopy(original, from, copy, 0, Math.min(original.length - from, newLength));
        return copy;
    }
   
}
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