a367138340d6a710e0b3b8698ccb35964b0cb932
java/com.sap.sse.common.test/src/com/sap/sse/common/test/KadaneExtremeSubarraysFinderTest.java
| ... | ... | @@ -23,8 +23,8 @@ public class KadaneExtremeSubarraysFinderTest { |
| 23 | 23 | finder.add(new ScalableDouble(2)); |
| 24 | 24 | finder.add(new ScalableDouble(3)); |
| 25 | 25 | assertEquals(6.0, finder.getMaxSum().divide(1.0), EPSILON); |
| 26 | - assertEquals(0, finder.getStartIndexInclusiveOfMaxSumSequence()); |
|
| 27 | - assertEquals(3, finder.getEndIndexExclusiveOfMaxSumSequence()); |
|
| 26 | + assertEquals(0, finder.getStartIndexOfMaxSumSequence()); |
|
| 27 | + assertEquals(2, finder.getEndIndexOfMaxSumSequence()); |
|
| 28 | 28 | } |
| 29 | 29 | |
| 30 | 30 | @Test |
| ... | ... | @@ -33,8 +33,8 @@ public class KadaneExtremeSubarraysFinderTest { |
| 33 | 33 | finder.add(new ScalableDouble(3)); |
| 34 | 34 | finder.add(1, new ScalableDouble(2)); |
| 35 | 35 | assertEquals(6.0, finder.getMaxSum().divide(1.0), EPSILON); |
| 36 | - assertEquals(0, finder.getStartIndexInclusiveOfMaxSumSequence()); |
|
| 37 | - assertEquals(3, finder.getEndIndexExclusiveOfMaxSumSequence()); |
|
| 36 | + assertEquals(0, finder.getStartIndexOfMaxSumSequence()); |
|
| 37 | + assertEquals(2, finder.getEndIndexOfMaxSumSequence()); |
|
| 38 | 38 | } |
| 39 | 39 | |
| 40 | 40 | @Test |
| ... | ... | @@ -47,8 +47,8 @@ public class KadaneExtremeSubarraysFinderTest { |
| 47 | 47 | finder.add(new ScalableDouble(6)); |
| 48 | 48 | finder.add(new ScalableDouble(-5)); |
| 49 | 49 | assertEquals(13.0, finder.getMaxSum().divide(1.0), EPSILON); |
| 50 | - assertEquals(0, finder.getStartIndexInclusiveOfMaxSumSequence()); |
|
| 51 | - assertEquals(6, finder.getEndIndexExclusiveOfMaxSumSequence()); |
|
| 50 | + assertEquals(0, finder.getStartIndexOfMaxSumSequence()); |
|
| 51 | + assertEquals(5, finder.getEndIndexOfMaxSumSequence()); |
|
| 52 | 52 | } |
| 53 | 53 | |
| 54 | 54 | @Test |
| ... | ... | @@ -59,11 +59,11 @@ public class KadaneExtremeSubarraysFinderTest { |
| 59 | 59 | finder.add(new ScalableDouble(4)); |
| 60 | 60 | finder.add(new ScalableDouble(5)); |
| 61 | 61 | assertEquals(15.0, finder.getMaxSum().divide(1.0), EPSILON); |
| 62 | - assertEquals(0, finder.getStartIndexInclusiveOfMaxSumSequence()); |
|
| 63 | - assertEquals(6, finder.getEndIndexExclusiveOfMaxSumSequence()); |
|
| 62 | + assertEquals(0, finder.getStartIndexOfMaxSumSequence()); |
|
| 63 | + assertEquals(4, finder.getEndIndexOfMaxSumSequence()); |
|
| 64 | 64 | finder.add(3, new ScalableDouble(-7)); |
| 65 | 65 | assertEquals(9.0, finder.getMaxSum().divide(1.0), EPSILON); |
| 66 | - assertEquals(4, finder.getStartIndexInclusiveOfMaxSumSequence()); |
|
| 67 | - assertEquals(6, finder.getEndIndexExclusiveOfMaxSumSequence()); |
|
| 66 | + assertEquals(4, finder.getStartIndexOfMaxSumSequence()); |
|
| 67 | + assertEquals(5, finder.getEndIndexOfMaxSumSequence()); |
|
| 68 | 68 | } |
| 69 | 69 | } |
java/com.sap.sse.common/src/com/sap/sse/common/scalablevalue/KadaneExtremeSubarraysFinder.java
| ... | ... | @@ -46,60 +46,101 @@ implements Serializable, Iterable<T> { |
| 46 | 46 | private final List<ScalableValueWithDistance<ValueType, AveragesTo>> maxSumEndingAt; |
| 47 | 47 | |
| 48 | 48 | /** |
| 49 | - * The maximum of the sums of any contiguous sub-sequence |
|
| 49 | + * Indices of the first element in {@link #sequence} of the contiguous sub-sequence having the maximum sum |
|
| 50 | + * ending at the {@link #sequence} index that corresponds with the index of the element in this list. Example: |
|
| 51 | + * if the contiguous sub-sequence in {@link #sequence} ending at the element before index 5 with the maximum |
|
| 52 | + * sum starts at index 1, then {@link #startIndexOfMaxSumSequence}{@code .get(5)==1}. |
|
| 50 | 53 | */ |
| 51 | - private ScalableValueWithDistance<ValueType, AveragesTo> maxSum; |
|
| 54 | + private List<Integer> startIndexOfMaxSumSequence; |
|
| 52 | 55 | |
| 53 | 56 | /** |
| 54 | - * Index of the first element in {@link #sequence} of the contiguous sub-sequence having the maximum sum |
|
| 57 | + * Index of the element in {@link #sequence} at which the contiguous sub-sequence ends that has the maximum sum |
|
| 58 | + * of all such sub-sequences. This means that {@link #maxSumEndingAt}{@code .get(}{@link #endIndexOfMaxSumSequence}) |
|
| 59 | + * is minimal across all elements in {@link #maxSumEndingAt}. |
|
| 55 | 60 | */ |
| 56 | - private int startIndexInclusiveOfMaxSumSequence; |
|
| 57 | - |
|
| 58 | - /** |
|
| 59 | - * Index of the element after the last element in {@link #sequence} of the contiguous sub-sequence having the maximum sum |
|
| 60 | - */ |
|
| 61 | - private int endIndexExclusiveOfMaxSumSequence; |
|
| 61 | + private int endIndexOfMaxSumSequence; |
|
| 62 | 62 | |
| 63 | 63 | /** |
| 64 | 64 | * See {@code #maxSumEndingAt}, only for the minimum. |
| 65 | 65 | */ |
| 66 | 66 | private final List<ScalableValueWithDistance<ValueType, AveragesTo>> minSumEndingAt; |
| 67 | 67 | |
| 68 | - private ScalableValueWithDistance<ValueType, AveragesTo> minSum; |
|
| 69 | - |
|
| 70 | 68 | /** |
| 71 | - * Index of the first element in {@link #sequence} of the contiguous sub-sequence having the minium sum |
|
| 69 | + * Indices of the first element in {@link #sequence} of the contiguous sub-sequence having the minimum sum |
|
| 70 | + * ending at the {@link #sequence} index that corresponds with the index of the element in this list. Example: |
|
| 71 | + * if the contiguous sub-sequence in {@link #sequence} ending at the element before index 5 with the minimum |
|
| 72 | + * sum starts at index 1, then {@link #startIndexOfMaxSumSequence}{@code .get(5)==1}. |
|
| 72 | 73 | */ |
| 73 | - private int startIndexInclusiveOfMinSumSequence; |
|
| 74 | + private List<Integer> startIndexOfMinSumSequence; |
|
| 74 | 75 | |
| 75 | 76 | /** |
| 76 | - * Index of the element after the last element in {@link #sequence} of the contiguous sub-sequence having the minimum sum |
|
| 77 | + * Index of the element in {@link #sequence} at which the contiguous sub-sequence ends that has the minimum sum |
|
| 78 | + * of all such sub-sequences. This means that {@link #minSumEndingAt}{@code .get(}{@link #endIndexOfMinSumSequence}) |
|
| 79 | + * is minimal across all elements in {@link #minSumEndingAt}. |
|
| 77 | 80 | */ |
| 78 | - private int endIndexExclusiveOfMinSumSequence; |
|
| 81 | + private int endIndexOfMinSumSequence; |
|
| 79 | 82 | |
| 80 | 83 | public KadaneExtremeSubarraysFinder() { |
| 81 | 84 | sequence = new LinkedList<>(); |
| 82 | 85 | maxSumEndingAt = new LinkedList<>(); |
| 83 | 86 | minSumEndingAt = new LinkedList<>(); |
| 84 | - maxSum = null; |
|
| 85 | - minSum = null; |
|
| 86 | - startIndexInclusiveOfMaxSumSequence = -1; |
|
| 87 | - endIndexExclusiveOfMaxSumSequence = -1; |
|
| 88 | - startIndexInclusiveOfMinSumSequence = -1; |
|
| 89 | - endIndexExclusiveOfMinSumSequence = -1; |
|
| 87 | + startIndexOfMaxSumSequence = new LinkedList<>(); |
|
| 88 | + endIndexOfMaxSumSequence = -1; |
|
| 89 | + startIndexOfMinSumSequence = new LinkedList<>(); |
|
| 90 | + endIndexOfMinSumSequence = -1; |
|
| 90 | 91 | } |
| 91 | 92 | |
| 92 | 93 | public synchronized void add(int index, T t) { |
| 94 | + final ScalableValueWithDistance<ValueType, AveragesTo> oldMaxSum = getMaxSum(); |
|
| 95 | + final ScalableValueWithDistance<ValueType, AveragesTo> oldMinSum = getMinSum(); |
|
| 96 | + final boolean insertingIntoMaxSumSequence = index <= endIndexOfMaxSumSequence && index > startIndexOfMaxSumSequence.get(endIndexOfMaxSumSequence); |
|
| 97 | + final boolean insertingIntoMinSumSequence = index <= endIndexOfMinSumSequence && index > startIndexOfMinSumSequence.get(endIndexOfMinSumSequence); |
|
| 93 | 98 | sequence.add(index, t); |
| 94 | 99 | final ScalableValueWithDistance<ValueType, AveragesTo> newMaxSumEndingAtIndex; |
| 95 | - final ScalableValueWithDistance<ValueType, AveragesTo> sum = index == 0 ? null : t.add(maxSumEndingAt.get(index-1)); |
|
| 96 | - if (index == 0 || compare(t, sum) >= 0) { |
|
| 100 | + final ScalableValueWithDistance<ValueType, AveragesTo> sumWithMax = index == 0 ? null : t.add(maxSumEndingAt.get(index-1)); |
|
| 101 | + if (index == 0 || compare(t, sumWithMax) >= 0) { |
|
| 97 | 102 | newMaxSumEndingAtIndex = t; // one-element sum consisting of element at "index" is the maximum |
| 103 | + startIndexOfMaxSumSequence.add(index, index); |
|
| 98 | 104 | } else { |
| 99 | - newMaxSumEndingAtIndex = sum; |
|
| 105 | + newMaxSumEndingAtIndex = sumWithMax; |
|
| 106 | + startIndexOfMaxSumSequence.add(index, startIndexOfMaxSumSequence.get(index-1)); |
|
| 100 | 107 | } |
| 101 | 108 | maxSumEndingAt.add(index, newMaxSumEndingAtIndex); |
| 102 | - update(index+1, newMaxSumEndingAtIndex); |
|
| 109 | + if (oldMaxSum == null || compare(newMaxSumEndingAtIndex, oldMaxSum) > 0) { |
|
| 110 | + endIndexOfMaxSumSequence = index; |
|
| 111 | + } |
|
| 112 | + final ScalableValueWithDistance<ValueType, AveragesTo> newMinSumEndingAtIndex; |
|
| 113 | + final ScalableValueWithDistance<ValueType, AveragesTo> sumWithMin = index == 0 ? null : t.add(minSumEndingAt.get(index-1)); |
|
| 114 | + if (index == 0 || compare(t, sumWithMin) <= 0) { |
|
| 115 | + newMinSumEndingAtIndex = t; // one-element sum consisting of element at "index" is the minimum |
|
| 116 | + startIndexOfMinSumSequence.add(index, index); |
|
| 117 | + } else { |
|
| 118 | + newMinSumEndingAtIndex = sumWithMin; |
|
| 119 | + startIndexOfMinSumSequence.add(index, startIndexOfMinSumSequence.get(index-1)); |
|
| 120 | + } |
|
| 121 | + minSumEndingAt.add(index, newMinSumEndingAtIndex); |
|
| 122 | + if (oldMinSum == null || compare(newMinSumEndingAtIndex, oldMinSum) < 0) { |
|
| 123 | + endIndexOfMinSumSequence = index; |
|
| 124 | + } |
|
| 125 | + if (index < sequence.size()) { |
|
| 126 | + update(index+1, newMaxSumEndingAtIndex, newMinSumEndingAtIndex); |
|
| 127 | + } |
|
| 128 | + if (insertingIntoMaxSumSequence) { // TODO probably also check whether a "positive" value was inserted; in this case, max can only grow further, and sub-sequence indices will stay unchanged |
|
| 129 | + updateMax(); |
|
| 130 | + } |
|
| 131 | + if (insertingIntoMinSumSequence) { // TODO probably also check whether a "negative" value was inserted; in this case, min can only shrink further, and sub-sequence indices will stay unchanged |
|
| 132 | + updateMin(); |
|
| 133 | + } |
|
| 134 | + } |
|
| 135 | + |
|
| 136 | + private void updateMin() { |
|
| 137 | + // TODO Auto-generated method stub |
|
| 138 | + |
|
| 139 | + } |
|
| 140 | + |
|
| 141 | + private void updateMax() { |
|
| 142 | + // TODO Auto-generated method stub |
|
| 143 | + |
|
| 103 | 144 | } |
| 104 | 145 | |
| 105 | 146 | private int compare(final ScalableValueWithDistance<ValueType, AveragesTo> a, final ScalableValueWithDistance<ValueType, AveragesTo> b) { |
| ... | ... | @@ -111,32 +152,64 @@ implements Serializable, Iterable<T> { |
| 111 | 152 | * still is the maximum of {@link #maxSumEndingAt}{@code [i-1]+sequence[i]} and {@link #sequence}{@code [i]}. If yes, any change to |
| 112 | 153 | * elements with index less than {@code i} do not have to be carried forward any further. Otherwise, {@link #maxSumEndingAt}{@code [i]} |
| 113 | 154 | * is updated, and the process continues at {@code i+1} "recursively" (implemented iteratively, without recursion). |
| 114 | - * @param newMaxSumEndingAtIndex |
|
| 115 | 155 | */ |
| 116 | - private void update(int i, ScalableValueWithDistance<ValueType, AveragesTo> maxSumEndingAtPreviousIndex) { |
|
| 156 | + private void update(int i, ScalableValueWithDistance<ValueType, AveragesTo> maxSumEndingAtPreviousIndex, ScalableValueWithDistance<ValueType, AveragesTo> newMinSumEndingAtIndex) { |
|
| 117 | 157 | final ListIterator<T> sequenceIter = sequence.listIterator(i); |
| 118 | 158 | final ListIterator<ScalableValueWithDistance<ValueType, AveragesTo>> maxSumEndingAtIter = maxSumEndingAt.listIterator(i); |
| 119 | - boolean finished = false; |
|
| 120 | - while (sequenceIter.hasNext() && !finished) { |
|
| 159 | + final ListIterator<ScalableValueWithDistance<ValueType, AveragesTo>> minSumEndingAtIter = minSumEndingAt.listIterator(i); |
|
| 160 | + final ListIterator<Integer> startIndexOfMaxSumSequenceIter = startIndexOfMaxSumSequence.listIterator(i); |
|
| 161 | + final ListIterator<Integer> startIndexOfMinSumSequenceIter = startIndexOfMinSumSequence.listIterator(i); |
|
| 162 | + boolean finishedMax = false; |
|
| 163 | + boolean finishedMin = false; |
|
| 164 | + while (sequenceIter.hasNext() && (!finishedMax || !finishedMin)) { |
|
| 121 | 165 | final T next = sequenceIter.next(); |
| 122 | - final ScalableValueWithDistance<ValueType, AveragesTo> nextMaxSumEndingAt = maxSumEndingAtIter.next(); |
|
| 123 | - final ScalableValueWithDistance<ValueType, AveragesTo> sum = next.add(maxSumEndingAtPreviousIndex); |
|
| 124 | - final ScalableValueWithDistance<ValueType, AveragesTo> newMaxSumEndingAt = compare(next, sum) >= 0 ? |
|
| 125 | - next : sum; |
|
| 126 | - if (compare(nextMaxSumEndingAt, newMaxSumEndingAt) != 0) { |
|
| 127 | - maxSumEndingAtIter.remove(); |
|
| 128 | - maxSumEndingAtIter.add(newMaxSumEndingAt); |
|
| 129 | - maxSumEndingAtPreviousIndex = newMaxSumEndingAt; |
|
| 130 | - } else { |
|
| 131 | - finished = true; // no more changes to propagate |
|
| 166 | + if (!finishedMax) { |
|
| 167 | + final ScalableValueWithDistance<ValueType, AveragesTo> nextMaxSumEndingAt = maxSumEndingAtIter.next(); |
|
| 168 | + startIndexOfMaxSumSequenceIter.next(); |
|
| 169 | + final ScalableValueWithDistance<ValueType, AveragesTo> sum = next.add(maxSumEndingAtPreviousIndex); |
|
| 170 | + final boolean nextGreaterOrEqualsThanSum = compare(next, sum) >= 0; |
|
| 171 | + final ScalableValueWithDistance<ValueType, AveragesTo> newMaxSumEndingAt = nextGreaterOrEqualsThanSum ? next : sum; |
|
| 172 | + if (compare(nextMaxSumEndingAt, newMaxSumEndingAt) != 0) { |
|
| 173 | + maxSumEndingAtIter.remove(); |
|
| 174 | + maxSumEndingAtIter.add(newMaxSumEndingAt); |
|
| 175 | + maxSumEndingAtPreviousIndex = newMaxSumEndingAt; |
|
| 176 | + startIndexOfMaxSumSequenceIter.remove(); |
|
| 177 | + startIndexOfMaxSumSequenceIter.add(nextGreaterOrEqualsThanSum ? i : startIndexOfMaxSumSequence.get(i-1)); |
|
| 178 | + if (compare(newMaxSumEndingAt, getMaxSum()) > 0) { |
|
| 179 | + endIndexOfMaxSumSequence = i; |
|
| 180 | + } |
|
| 181 | + } else { |
|
| 182 | + finishedMax = true; // no more changes to propagate |
|
| 183 | + } |
|
| 184 | + } |
|
| 185 | + if (!finishedMin) { |
|
| 186 | + final ScalableValueWithDistance<ValueType, AveragesTo> nextMinSumEndingAt = minSumEndingAtIter.next(); |
|
| 187 | + startIndexOfMinSumSequenceIter.next(); |
|
| 188 | + final ScalableValueWithDistance<ValueType, AveragesTo> sum = next.add(maxSumEndingAtPreviousIndex); |
|
| 189 | + final boolean nextLessOrEqualsThanSum = compare(next, sum) <= 0; |
|
| 190 | + final ScalableValueWithDistance<ValueType, AveragesTo> newMinSumEndingAt = nextLessOrEqualsThanSum ? next : sum; |
|
| 191 | + if (compare(nextMinSumEndingAt, newMinSumEndingAt) != 0) { |
|
| 192 | + minSumEndingAtIter.remove(); |
|
| 193 | + minSumEndingAtIter.add(newMinSumEndingAt); |
|
| 194 | + maxSumEndingAtPreviousIndex = newMinSumEndingAt; |
|
| 195 | + startIndexOfMinSumSequenceIter.remove(); |
|
| 196 | + startIndexOfMinSumSequenceIter.add(nextLessOrEqualsThanSum ? i : startIndexOfMinSumSequence.get(i-1)); |
|
| 197 | + if (compare(newMinSumEndingAt, getMinSum()) < 0) { |
|
| 198 | + endIndexOfMinSumSequence = i; |
|
| 199 | + } |
|
| 200 | + } else { |
|
| 201 | + finishedMin = true; // no more changes to propagate |
|
| 202 | + } |
|
| 132 | 203 | } |
| 204 | + i++; |
|
| 133 | 205 | } |
| 134 | 206 | } |
| 135 | 207 | |
| 136 | 208 | public synchronized void remove(int index) { |
| 137 | 209 | sequence.remove(index); |
| 138 | 210 | final ScalableValueWithDistance<ValueType, AveragesTo> maxSumEndingAtIndex = maxSumEndingAt.remove(index); |
| 139 | - update(index+1, maxSumEndingAtIndex); |
|
| 211 | + final ScalableValueWithDistance<ValueType, AveragesTo> minSumEndingAtIndex = minSumEndingAt.remove(index); |
|
| 212 | + update(index+1, maxSumEndingAtIndex, minSumEndingAtIndex); |
|
| 140 | 213 | } |
| 141 | 214 | |
| 142 | 215 | public synchronized void add(T t) { |
| ... | ... | @@ -148,27 +221,27 @@ implements Serializable, Iterable<T> { |
| 148 | 221 | } |
| 149 | 222 | |
| 150 | 223 | public ScalableValueWithDistance<ValueType, AveragesTo> getMaxSum() { |
| 151 | - return maxSum; |
|
| 224 | + return endIndexOfMaxSumSequence == -1 ? null : maxSumEndingAt.get(endIndexOfMaxSumSequence); |
|
| 152 | 225 | } |
| 153 | 226 | |
| 154 | 227 | public ScalableValueWithDistance<ValueType, AveragesTo> getMinSum() { |
| 155 | - return minSum; |
|
| 228 | + return endIndexOfMinSumSequence == -1 ? null : minSumEndingAt.get(endIndexOfMinSumSequence); |
|
| 156 | 229 | } |
| 157 | 230 | |
| 158 | - public int getStartIndexInclusiveOfMaxSumSequence() { |
|
| 159 | - return startIndexInclusiveOfMaxSumSequence; |
|
| 231 | + public int getStartIndexOfMaxSumSequence() { |
|
| 232 | + return startIndexOfMaxSumSequence.isEmpty() ? -1 : startIndexOfMaxSumSequence.get(endIndexOfMaxSumSequence); |
|
| 160 | 233 | } |
| 161 | 234 | |
| 162 | - public int getEndIndexExclusiveOfMaxSumSequence() { |
|
| 163 | - return endIndexExclusiveOfMaxSumSequence; |
|
| 235 | + public int getEndIndexOfMaxSumSequence() { |
|
| 236 | + return endIndexOfMaxSumSequence; |
|
| 164 | 237 | } |
| 165 | 238 | |
| 166 | - public int getStartIndexInclusiveOfMinSumSequence() { |
|
| 167 | - return startIndexInclusiveOfMinSumSequence; |
|
| 239 | + public int getStartIndexOfMinSumSequence() { |
|
| 240 | + return startIndexOfMinSumSequence.isEmpty() ? -1 : startIndexOfMinSumSequence.get(endIndexOfMinSumSequence); |
|
| 168 | 241 | } |
| 169 | 242 | |
| 170 | - public int getEndIndexExclusiveOfMinSumSequence() { |
|
| 171 | - return endIndexExclusiveOfMinSumSequence; |
|
| 243 | + public int getEndIndexOfMinSumSequence() { |
|
| 244 | + return endIndexOfMinSumSequence; |
|
| 172 | 245 | } |
| 173 | 246 | |
| 174 | 247 | @Override |