(coded-sequence) Evaluate new minDist implementation

This commit is contained in:
Viktor Lofgren 2024-08-26 12:02:37 +02:00
parent 805cb5ad58
commit f3182a9264
2 changed files with 77 additions and 60 deletions

View File

@ -138,7 +138,7 @@ public class PhraseConstraintGroupList {
iterOffsets[si - 1] = -oi;
}
return SequenceOperations.findIntersections(iterOffsets, sequences);
return SequenceOperations.findIntersections(sequences, iterOffsets);
}
public int minDistance(IntList[] positions) {

View File

@ -51,11 +51,24 @@ public class SequenceOperations {
return true;
}
/** Find any intersections between the given positions lists, and return the list of intersections.
* If any of the lists are empty, return an empty list.
* <p></p>
*/
public static IntList findIntersections(IntList... positions) {
return findIntersections(new int[positions.length], positions);
return findIntersections(positions, new int[positions.length]);
}
public static IntList findIntersections(int[] offsets, IntList... positions) {
/** Find any intersections between the given positions lists, and return the list of intersections.
* If any of the lists are empty, return an empty list.
* <p></p>
* A constant offset can be applied to each position list by providing an array of offsets.
*
* @param positions the positions lists to compare - each list must be sorted in ascending order
* and contain unique values.
* @param offsets constant offsets to apply to each position
* */
public static IntList findIntersections(IntList[] positions, int[] offsets) {
if (positions.length < 1)
return IntList.of();
@ -116,51 +129,27 @@ public class SequenceOperations {
return ret;
}
/** Return the minimum word distance between two sequences, or a negative value if either sequence is empty.
/** Given each set of positions, one from each list, find the set with the smallest distance between them
* and return that distance. If any of the lists are empty, return 0.
* */
public static int minDistance(IntIterator seqA, IntIterator seqB)
{
int minDistance = Integer.MAX_VALUE;
if (!seqA.hasNext() || !seqB.hasNext())
return -1;
int a = seqA.nextInt();
int b = seqB.nextInt();
while (true) {
int distance = Math.abs(a - b);
if (distance < minDistance)
minDistance = distance;
if (a <= b) {
if (seqA.hasNext()) {
a = seqA.nextInt();
} else {
break;
}
} else {
if (seqB.hasNext()) {
b = seqB.nextInt();
} else {
break;
}
}
}
return minDistance;
}
public static int minDistance(IntList[] positions) {
return minDistance(positions, new int[positions.length]);
}
/** Given each set of positions, one from each list, find the set with the smallest distance between them
* and return that distance. If any of the lists are empty, return 0.
*
* @param positions the positions lists to compare - each list must be sorted in ascending order
* @param offsets the offsets to apply to each position
*/
public static int minDistance(IntList[] positions, int[] offsets) {
if (positions.length <= 1)
return 0;
int[] values = new int[positions.length];
int[] indexes = new int[positions.length];
for (int i = 0; i < positions.length; i++) {
if (indexes[i] < positions[i].size())
values[i] = positions[i].getInt(indexes[i]++) + offsets[i];
@ -170,40 +159,68 @@ public class SequenceOperations {
int minDist = Integer.MAX_VALUE;
int minVal = Integer.MAX_VALUE;
int maxVal = Integer.MIN_VALUE;
for (int val : values) {
minVal = Math.min(minVal, val);
maxVal = Math.max(maxVal, val);
int maxI = 0;
// Find the maximum value in values[] and its index in positions[]
for (int i = 0; i < positions.length; i++) {
if (values[i] > maxVal) {
maxVal = values[i];
maxI = i;
}
}
minDist = Math.min(minDist, maxVal - minVal);
for (;;) {
// For all the other indexes except maxI, update values[] with the largest value smaller than maxVal
for (int idx = 0; idx < positions.length - 1; idx++) {
int i = (maxI + idx) % positions.length;
// Update values[i] until it is the largest value smaller than maxVal
int len = positions[i].size();
int offset = offsets[i];
int prevValue = values[i];
int value = prevValue;
for (; indexes[i] < len && value <= maxVal;) {
prevValue = value;
value = positions[i].getInt(indexes[i]++) + offset;
}
values[i] = prevValue;
}
// Calculate minVal and update minDist
int minVal = Integer.MAX_VALUE;
for (int val : values) {
minVal = Math.min(minVal, val);
}
minDist = Math.min(minDist, maxVal - minVal);
// Find the next maximum value and its index. We look for the largest value smaller than the current maxVal,
// which is the next target value
maxVal = Integer.MAX_VALUE;
for (int i = 0; i < positions.length; i++) {
if (values[i] > minVal) {
int index = indexes[i];
if (index >= positions[i].size()) { // no more values in this list, skip
continue;
}
if (indexes[i] < positions[i].size()) {
values[i] = positions[i].getInt(indexes[i]++) + offsets[i];
} else {
return minDist;
int value = positions[i].getInt(index) + offsets[i];
if (value < maxVal) {
maxVal = value;
maxI = i;
}
}
if (values[i] > maxVal) {
maxVal = values[i];
}
if (values[i] > minVal) {
minVal = Integer.MAX_VALUE;
for (int val : values) {
minVal = Math.min(minVal, val);
}
}
minDist = Math.min(minDist, maxVal - minVal);
if (maxVal != Integer.MAX_VALUE) {
indexes[maxI]++;
}
else {
return minDist;
}
}
}