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

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

Source:MyersDiff.java

...81    final int MAX = N + M + 1;82    final int size = 1 + 2 * MAX;83    final int middle = size / 2;84    final PathNode[] diagonal = new PathNode[size];85    diagonal[middle + 1] = new Snake(0, -1, null);86    for (int d = 0; d < MAX; d++) {87      for (int k = -d; k <= d; k += 2) {88        final int kmiddle = middle + k;89        final int kplus = kmiddle + 1;90        final int kminus = kmiddle - 1;91        PathNode prev;92        int i;93        if ((k == -d) || (k != d && diagonal[kminus].i < diagonal[kplus].i)) {94          i = diagonal[kplus].i;95          prev = diagonal[kplus];96        } else {97          i = diagonal[kminus].i + 1;98          prev = diagonal[kminus];99        }100        diagonal[kminus] = null; // no longer used101        int j = i - k;102        PathNode node = new DiffNode(i, j, prev);103        // orig and rev are zero-based104        // but the algorithm is one-based105        // that's why there's no +1 when indexing the sequences106        while (i < N && j < M && equals(orig.get(i), rev.get(j))) {107          i++;108          j++;109        }110        if (i > node.i) node = new Snake(i, j, node);111        diagonal[kmiddle] = node;112        if (i >= N && j >= M) return diagonal[kmiddle];113      }114      diagonal[middle + d - 1] = null;115    }116    // According to Myers, this cannot happen117    throw new IllegalStateException("could not find a diff path");118  }119  private boolean equals(T orig, T rev) {120    return equalizer.equals(orig, rev);121  }122  /**123   * Constructs a {@link Patch} from a difference path.124   *125   * @param path The path.126   * @param orig The original sequence.127   * @param rev The revised sequence.128   * @return A {@link Patch} script corresponding to the path.129   */130  public Patch<T> buildRevision(PathNode path, List<T> orig, List<T> rev) {131    checkArgument(path != null, "path is null");132    checkArgument(orig != null, "original sequence is null");133    checkArgument(rev != null, "revised sequence is null");134    Patch<T> patch = new Patch<>();135    if (path.isSnake())136      path = path.prev;137    while (path != null && path.prev != null && path.prev.j >= 0) {138      checkState(!path.isSnake(), "bad diffpath: found snake when looking for diff");139      int i = path.i;140      int j = path.j;141      path = path.prev;142      int ianchor = path.i;143      int janchor = path.j;144      Chunk<T> original = new Chunk<>(ianchor, copyOfRange(orig, ianchor, i));145      Chunk<T> revised = new Chunk<>(janchor, copyOfRange(rev, janchor, j));146      Delta<T> delta;147      if (original.size() == 0 && revised.size() != 0) {148        delta = new InsertDelta<>(original, revised);149      } else if (original.size() > 0 && revised.size() == 0) {150        delta = new DeleteDelta<>(original, revised);151      } else {152        delta = new ChangeDelta<>(original, revised);153      }154      patch.addDelta(delta);155      if (path.isSnake()) path = path.prev;156    }157    return patch;158  }159  /**160   * Creates a new list containing the elements returned by {@link List#subList(int, int)}.161   * @param original The original sequence. Must not be {@code null}.162   * @param fromIndex low endpoint (inclusive) of the subList.163   * @param to high endpoint (exclusive) of the subList.164   * @return A new list of the specified range within the original list.165  166   */167  private List<T> copyOfRange(final List<T> original, final int fromIndex, final int to) {168    return new ArrayList<>(original.subList(fromIndex, to));169  }...

Snake

Using AI Code Generation

1    public int[] getSnake() {2        return snake;3    }4    public void setSnake(int[] snake) {5        this.snake = snake;6    }7    static class Snake {8        private int[] snake;9        private int x;10        private int y;11        public Snake(int x, int y, int[] snake) {12            this.x = x;13            this.y = y;14            this.snake = snake;15        }16        public int getX() {17            return x;18        }19        public int getY() {20            return y;21        }22        public int[] getSnake() {23            return snake;24        }25    }26}27public class Main {28    public static void main(String[] args) {29        String[] original = new String[] { "a", "b", "c", "d" };30        String[] revised = new String[] { "a", "c", "b", "d" };31        Patch patch = DiffUtils.diff(Arrays.asList(original), Arrays.asList(revised));32        System.out.println(patch.getDeltas());33        List<String> patched = DiffUtils.patch(Arrays.asList(original), patch);34        System.out.println(patched);35    }36}

Snake

Using AI Code Generation

1public class LongestCommonSubsequence {2    public static String findLCS(String s1, String s2) {3        int m = s1.length();4        int n = s2.length();5        int[] v0 = new int[n + 1];6        int[] v1 = new int[n + 1];7        int[] vtemp;8        for (int i = 0; i < m; i++) {9            for (int j = 0; j < n; j++) {10                if (s1.charAt(i) == s2.charAt(j)) {11                    v1[j + 1] = v0[j] + 1;12                } else {13                    v1[j + 1] = Math.max(v1[j], v0[j + 1]);14                }15            }16            vtemp = v0;17            v0 = v1;18            v1 = vtemp;19        }20        int i = m, j = n;21        StringBuilder sb = new StringBuilder();22        while (i > 0 && j > 0) {23            if (s1.charAt(i - 1) == s2.charAt(j - 1)) {24                sb.append(s1.charAt(i - 1));25                i--;26                j--;27            } else if (v0[j] > v0[j - 1]) {28                j--;29            } else {30                i--;31            }32        }33        return sb.reverse().toString();34    }35}36public class LongestCommonSubsequence {37    public static String findLCS(String s1, String s2) {38        int m = s1.length();39        int n = s2.length();40        int[] v0 = new int[n + 1];41        int[] v1 = new int[n + 1];42        int[] vtemp;43        for (int i = 0; i < m; i++) {44            for (int j = 0; j < n; j++) {45                if (s1.charAt(i) == s2.charAt(j)) {46                    v1[j + 1] = v0[j] + 1;47                } else {48                    v1[j + 1] = Math.max(v1[j], v0[j + 1]);

Snake

Using AI Code Generation

1    public List<Delta<T>> diff(List<T> original, List<T> revised) {2        List<Delta<T>> deltas = new ArrayList<Delta<T>>();3        if (original.isEmpty()) {4            addAll(deltas, revised, ChangeType.INSERT);5            return deltas;6        }7        if (revised.isEmpty()) {8            addAll(deltas, original, ChangeType.DELETE);9            return deltas;10        }11        int endOriginal = original.size() - 1;12        int endRevised = revised.size() - 1;13        int startOriginal = 0;14        int startRevised = 0;15        while (startOriginal <= endOriginal && startRevised <= endRevised) {16            if (original.get(startOriginal).equals(revised.get(startRevised))) {17                startOriginal++;18                startRevised++;19            } else if (original.get(endOriginal).equals(revised.get(endRevised))) {20                endOriginal--;21                endRevised--;22            } else {23                break;24            }25        }26        if (startOriginal > endOriginal) {27            addAll(deltas, revised.subList(startRevised, endRevised + 1), ChangeType.INSERT);28        } else if (startRevised > endRevised) {29            addAll(deltas, original.subList(startOriginal, endOriginal + 1), ChangeType.DELETE);30        } else {31            Snake snake = getMiddleSnake(original, revised, startOriginal, endOriginal, startRevised, endRevised);32            if (snake != null) {33                diffRecursive(original, revised, startOriginal, snake.getX(), startRevised, snake.getY(), deltas);34                deltas.add(new Delta<T>(snake.getX(), snake.getX() + snake.getSize() - 1, snake.getY(), snake.getY() + snake.getSize() - 1));35                diffRecursive(original,

Snake

Using AI Code Generation

1public static List<Delta<String>> diff(String original, String revised) {2    List<Delta<String>> deltas = new ArrayList<Delta<String>>();3    Snake snake = new Snake();4    int originalLength = original.length();5    int revisedLength = revised.length();6    int[] x = new int[originalLength + revisedLength + 2];7    int[] y = new int[originalLength + revisedLength + 2];8    int delta = originalLength - revisedLength;9    boolean oddDelta = (delta & 1) != 0;10    int offset = originalLength + 1;11    x[offset + 1] = -1;12    for (int d = 0; d < (originalLength + revisedLength + 1) / 2; d++) {13        for (int k = -d; k <= d; k += 2) {14            int kOffset = offset + k;15            int x1;16            if (k == -d || k != d && x[kOffset - 1] < x[kOffset + 1]) {17                x1 = x[kOffset + 1];18            } else {19                x1 = x[kOffset - 1] + 1;20            }21            int y1 = x1 - k;22            while (x1 < originalLength && y1 < revisedLength && original.charAt(x1) == revised.charAt(y1)) {23                x1++;24                y1++;25            }26            x[kOffset] = x1;27            if (oddDelta && k >= delta - (d - 1) && k <= delta + (d - 1)) {28                if (x[kOffset] >= y[kOffset]) {29                    snake.setOriginalStart(x[kOffset - 1] + 1);30                    snake.setRevisedStart(y[kOffset - 1] + 1);31                    snake.setOriginalEnd(x[kOffset] + 1);32                    snake.setRevisedEnd(y[kOffset] + 1);33                    return deltas;34                }35            }36        }37        for (int k = -d; k <= d; k += 2) {

Snake

Using AI Code Generation

1    private static Snake findSnake(final List<?> left, final List<?> right, final int lowerBound, final int upperBound) {2        final int max = left.size();3        final int min = -right.size();4        final int delta = max - min;5        final boolean isOdd = (delta & 1) != 0;6        final int offset = delta / 2;7        final int[] forward = new int[delta + 1];8        final int[] reverse = new int[delta + 1];9        forward[offset + 1] = 0;10        reverse[offset + 1] = 0;11        for (int d = 0; d <= offset; d++) {12            for (int k = -d; k <= d; k += 2) {13                final int kOffset = offset + k;14                final int x;15                if (k == -d || (k != d && forward[kOffset - 1] < forward[kOffset + 1])) {16                    x = forward[kOffset + 1];17                } else {18                    x = forward[kOffset - 1] + 1;19                }20                int y = x - k;21                int xMid = x;22                int yMid = y;23                while (x < max && y < min && Objects.equals(left.get(x), right.get(y))) {24                    x++;25                    y++;26                }27                forward[kOffset] = x;28                if (isOdd && k >= lowerBound && k <= upperBound && reverse[kOffset] <= x) {29                    xMid = reverse[kOffset];30                    yMid = xMid - k;31                    break;32                }33            }34            for (int k = -d; k <= d; k += 2) {35                final int kOffset = offset + k;36                final int x;37                if (k == -d || (k != d && reverse[kOffset - 1] < reverse[kOffset + 1])) {38                    x = reverse[kOffset + 1];39                } else {40                    x = reverse[kOffset - 1] + 1;41                }42                int y = x - k;43                int xMid = x;44                int yMid = y;45                while (x > 0 && y > 0 && Objects.equals(left.get(x - 1), right.get(y

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