How to use diff method of org.assertj.core.util.diff.myers.MyersDiff class

Best Assertj code snippet using org.assertj.core.util.diff.myers.MyersDiff.diff

Source:MyersDiff.java Github

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...9 * specific language governing permissions and limitations under the License.10 *11 * Copyright 2012-2015 the original author or authors.12 */13package org.assertj.core.util.diff.myers;14import java.util.ArrayList;15import java.util.Arrays;16import java.util.List;17import org.assertj.core.util.diff.ChangeDelta;18import org.assertj.core.util.diff.Chunk;19import org.assertj.core.util.diff.DeleteDelta;20import org.assertj.core.util.diff.Delta;21import org.assertj.core.util.diff.DiffAlgorithm;22import org.assertj.core.util.diff.InsertDelta;23import org.assertj.core.util.diff.Patch;24/**25 * Copy from https://code.google.com/p/java-diff-utils/.26 * <p>27 * A clean-room implementation of <a href="http://www.cs.arizona.edu/people/gene/">28 * Eugene Myers</a> differencing algorithm.29 *30 * <p> See the paper at <a href="http://www.cs.arizona.edu/people/gene/PAPERS/diff.ps">31 * http://www.cs.arizona.edu/people/gene/PAPERS/diff.ps</a></p>32 *33 * @author <a href="mailto:juanco@suigeneris.org">Juanco Anez</a>34 * @param <T> The type of the compared elements in the 'lines'.35 */36public class MyersDiff<T> implements DiffAlgorithm<T> {37 /** The equalizer. */38 private final Equalizer<T> equalizer;39 /**40 * Constructs an instance of the Myers differencing algorithm.41 */42 public MyersDiff() {43 /** Default equalizer. */44 equalizer = new Equalizer<T>() {45 @Override46 public boolean equals(T original, T revised) {47 return original.equals(revised);48 }49 };50 }51 /**52 * Constructs an instance of the Myers differencing algorithm.53 * @param equalizer Must not be {@code null}.54 */55 public MyersDiff(final Equalizer<T> equalizer) {56 if (equalizer == null) {57 throw new IllegalArgumentException("equalizer must not be null");58 }59 this.equalizer = equalizer;60 }61 /**62 * {@inheritDoc}63 *64 * @return Returns an empty diff if get the error while procession the difference.65 */66 public Patch<T> diff(final T[] original, final T[] revised) {67 return diff(Arrays.asList(original), Arrays.asList(revised));68 }69 /**70 * {@inheritDoc}71 *72 * Return empty diff if get the error while procession the difference.73 */74 public Patch<T> diff(final List<T> original, final List<T> revised) {75 if (original == null) {76 throw new IllegalArgumentException("original list must not be null");77 }78 if (revised == null) {79 throw new IllegalArgumentException("revised list must not be null");80 }81 PathNode path;82 try {83 path = buildPath(original, revised);84 return buildRevision(path, original, revised);85 } catch (IllegalStateException e) {86 e.printStackTrace();87 return new Patch<>();88 }89 }90 /**91 * Computes the minimum diffpath that expresses de differences92 * between the original and revised sequences, according93 * to Gene Myers differencing algorithm.94 *95 * @param orig The original sequence.96 * @param rev The revised sequence.97 * @return A minimum {@link PathNode Path} accross the differences graph.98 * @throws DifferentiationFailedException if a diff path could not be found.99 */100 public PathNode buildPath(final List<T> orig, final List<T> rev) {101 if (orig == null)102 throw new IllegalArgumentException("original sequence is null");103 if (rev == null)104 throw new IllegalArgumentException("revised sequence is null");105 // these are local constants106 final int N = orig.size();107 final int M = rev.size();108 final int MAX = N + M + 1;109 final int size = 1 + 2 * MAX;110 final int middle = size / 2;111 final PathNode diagonal[] = new PathNode[size];112 diagonal[middle + 1] = new Snake(0, -1, null);113 for (int d = 0; d < MAX; d++) {114 for (int k = -d; k <= d; k += 2) {115 final int kmiddle = middle + k;116 final int kplus = kmiddle + 1;117 final int kminus = kmiddle - 1;118 PathNode prev;119 int i;120 if ((k == -d) || (k != d && diagonal[kminus].i < diagonal[kplus].i)) {121 i = diagonal[kplus].i;122 prev = diagonal[kplus];123 } else {124 i = diagonal[kminus].i + 1;125 prev = diagonal[kminus];126 }127 diagonal[kminus] = null; // no longer used128 int j = i - k;129 PathNode node = new DiffNode(i, j, prev);130 // orig and rev are zero-based131 // but the algorithm is one-based132 // that's why there's no +1 when indexing the sequences133 while (i < N && j < M && equals(orig.get(i), rev.get(j))) {134 i++;135 j++;136 }137 if (i > node.i) node = new Snake(i, j, node);138 diagonal[kmiddle] = node;139 if (i >= N && j >= M) return diagonal[kmiddle];140 }141 diagonal[middle + d - 1] = null;142 }143 // According to Myers, this cannot happen144 throw new IllegalStateException("could not find a diff path");145 }146 private boolean equals(T orig, T rev) {147 return equalizer.equals(orig, rev);148 }149 /**150 * Constructs a {@link Patch} from a difference path.151 *152 * @param path The path.153 * @param orig The original sequence.154 * @param rev The revised sequence.155 * @return A {@link Patch} script corresponding to the path.156 */157 public Patch<T> buildRevision(PathNode path, List<T> orig, List<T> rev) {158 if (path == null) throw new IllegalArgumentException("path is null");159 if (orig == null) throw new IllegalArgumentException("original sequence is null");160 if (rev == null) throw new IllegalArgumentException("revised sequence is null");161 Patch<T> patch = new Patch<>();162 if (path.isSnake())163 path = path.prev;164 while (path != null && path.prev != null && path.prev.j >= 0) {165 if (path.isSnake())166 throw new IllegalStateException("bad diffpath: found snake when looking for diff");167 int i = path.i;168 int j = path.j;169 path = path.prev;170 int ianchor = path.i;171 int janchor = path.j;172 Chunk<T> original = new Chunk<>(ianchor, copyOfRange(orig, ianchor, i));173 Chunk<T> revised = new Chunk<>(janchor, copyOfRange(rev, janchor, j));174 Delta<T> delta;175 if (original.size() == 0 && revised.size() != 0) {176 delta = new InsertDelta<>(original, revised);177 } else if (original.size() > 0 && revised.size() == 0) {178 delta = new DeleteDelta<>(original, revised);179 } else {180 delta = new ChangeDelta<>(original, revised);...

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1import org.assertj.core.util.diff.myers.MyersDiff;2import org.assertj.core.util.diff.myers.Patch;3import org.assertj.core.util.diff.myers.DeleteDelta;4import org.assertj.core.util.diff.myers.InsertDelta;5import org.assertj.core.util.diff.myers.ChangeDelta;6import org.assertj.core.util.diff.myers.MyersDiff;7import org.assertj.core.util.diff.myers.Patch;8import org.assertj.core.util.diff.myers.DeleteDelta;9import org.assertj.core.util.diff.myers.InsertDelta;10import org.assertj.core.util.diff.myers.ChangeDelta;11public class Diff {12 public static void main(String[] args) {13 String first = "Hello World!";14 String second = "Hello World";15 Patch patch = MyersDiff.INSTANCE.diff(first, second);16 for (Object delta : patch.getDeltas()) {17 if (delta instanceof DeleteDelta) {18 DeleteDelta dd = (DeleteDelta) delta;19 System.out.println("Delete at position " + dd.getOriginal().getPosition() + " length " + dd.getOriginal().getLines().size());20 } else if (delta instanceof InsertDelta) {21 InsertDelta id = (InsertDelta) delta;22 System.out.println("Insert at position " + id.getOriginal().getPosition() + " length " + id.getOriginal().getLines().size());23 } else if (delta instanceof ChangeDelta) {24 ChangeDelta cd = (ChangeDelta) delta;25 System.out.println("Change at position " + cd.getOriginal().getPosition() + " length " + cd.getOriginal().getLines().size());26 }27 }28 }29}

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Using AI Code Generation

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1 public static <T> List<Delta<T>> diff(List<T> original, List<T> revised) {2 return new MyersDiff<T>(original, revised).getDeltas();3 }4 public static <T> List<Delta<T>> diff(List<T> original, List<T> revised) {5 return new MyersDiff<T>(original, revised).getDeltas();6 }7 public static <T> List<Delta<T>> diff(List<T> original, List<T> revised) {8 return new MyersDiff<T>(original, revised).getDeltas();9 }10 public static <T> List<Delta<T>> diff(List<T> original, List<T> revised) {11 return new MyersDiff<T>(original, revised).getDeltas();12 }13 public static <T> List<Delta<T>> diff(List<T> original, List<T> revised) {14 return new MyersDiff<T>(original, revised).getDeltas();15 }16 public static <T> List<Delta<T>> diff(List<T> original, List<T> revised) {17 return new MyersDiff<T>(original, revised).getDeltas();18 }19 public static <T> List<Delta<T>> diff(List<T> original, List<T> revised) {20 return new MyersDiff<T>(original, revised).getDeltas();21 }22 public static <T> List<Delta<T>> diff(List<T> original, List<T> revised) {23 return new MyersDiff<T>(original, revised).getDeltas();24 }

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Using AI Code Generation

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1import org.assertj.core.util.diff.myers.MyersDiff;2public class DiffExample {3 public static void main(String[] args) {4z";5-";6 MyersDiff diff = new MyersDiff(original, revised);7 System.out.println(diff);8 }9}

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diff

Using AI Code Generation

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1import org.assertj.core.util.diff.myers.MyersDiff;2import org.assertj.core.util.diff.myers.Patch;3String s1 = "This is a test";4String s2 = "This is a test with some differences";5MyersDiff myersDiff = new MyersDiff(s1, s2);6Patch patch = myersDiff.diff();7System.out.println(patch);

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