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/*
 * SPDX-License-Identifier: Apache-1.1
 *
 * ====================================================================
 * The Apache Software License, Version 1.1
 *
 * Copyright (c) 1999-2003 The Apache Software Foundation.
 * Copyright (c) 1996-2006 Juancarlo Añez
 * Copyright (c) 2010 Dmitry Naumenko ([email protected])
 * Copyright (c) 2015-2016 Brenden Kromhout and contributors to java-diff-utils
 * All rights reserved.
 *
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 * modification, are permitted provided that the following conditions
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 * 1. Redistributions of source code must retain the above copyright
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 *    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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package difflib.myers;

import java.lang.reflect.Array;
import java.util.ArrayList;
import java.util.Arrays;
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 
 * Eugene Myers differencing algorithm.
 *
 * 

See the paper at * http://www.cs.arizona.edu/people/gene/PAPERS/diff.ps

* * @author Juanco Anez * @param The type of the compared elements in the 'lines'. */ public class MyersDiff implements DiffAlgorithm { /** Default equalizer. */ private final Equalizer DEFAULT_EQUALIZER = new Equalizer() { public boolean equals(final T original, final T revised) { if (original == null && revised == null) { return true; } if (original != null) { return original.equals(revised); } return false; } @Override public boolean skip(T original) { return false; } }; /** The equalizer. */ private final Equalizer equalizer; /** * Constructs an instance of the Myers differencing algorithm. */ public MyersDiff() { equalizer = DEFAULT_EQUALIZER; } /** * Constructs an instance of the Myers differencing algorithm. * @param equalizer Must not be {@code null}. */ public MyersDiff(final Equalizer equalizer) { if (equalizer == null) { throw new IllegalArgumentException("equalizer must not be null"); } this.equalizer = equalizer; } /** * {@inheritDoc} * * @return Returns an empty diff if get the error while procession the difference. */ public Patch diff(final T[] original, final T[] revised) { return diff(Arrays.asList(original), Arrays.asList(revised)); } /** * {@inheritDoc} * * Return empty diff if get the error while procession the difference. */ public Patch diff(final List original, final List revised) { if (original == null) { throw new IllegalArgumentException("original list must not be null"); } if (revised == null) { throw new IllegalArgumentException("revised list must not be null"); } PathNode path; try { path = buildPath(original, revised); return buildRevision(path, original, revised); } 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 PathNode buildPath(final List orig, final List 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.size(); final int M = rev.size(); final int MAX = N + M + 1; final int size = 1 + 2 * MAX; final int middle = size / 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 && equals(orig.get(i), rev.get(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"); } private boolean equals(T orig, T rev) { return equalizer.equals(orig, rev); } /** * Constructs a {@link Patch} from a difference path. * * @param path The path. * @param orig The original sequence. * @param rev The revised sequence. * @return A {@link Patch} script corresponding to the path. * @throws DifferentiationFailedException if a {@link Patch} could * not be built from the given path. */ public Patch buildRevision(PathNode path, List orig, List 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, copyOfRange(orig, ianchor, i)); Chunk revised = new Chunk(janchor, copyOfRange(rev, janchor, j)); Delta delta = null; if (original.size() == 0 && revised.size() != 0) { delta = new InsertDelta(original, revised); } else if (original.size() > 0 && revised.size() == 0) { delta = new DeleteDelta(original, revised); } else { delta = new ChangeDelta(original, revised); } patch.addDelta(delta); if (path.isSnake()) path = path.prev; } return patch; } /** * Creates a new list containing the elements returned by {@link List#subList(int, int)}. * @param original The original sequence. Must not be {@code null}. * @param fromIndex low endpoint (inclusive) of the subList. * @param to high endpoint (exclusive) of the subList. * @return A new list of the specified range within the original list. */ private List copyOfRange( final List original, final int fromIndex, final int to ) { return new ArrayList( original.subList( fromIndex, to ) ); } /** * Copied here from JDK 1.6 */ @SuppressWarnings("unchecked") public static T[] copyOfRange2(T[] original, int from, int to) { return copyOfRange2(original, from, to, (Class) original.getClass()); } /** * Copied here from JDK 1.6 */ @SuppressWarnings("unchecked") public static T[] copyOfRange2(U[] original, int from, int to, Class 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; } public Equalizer getEqualizer() { return equalizer; } }




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