mirror of https://github.com/cabaletta/baritone
premature optimization
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272dd79426
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@ -72,6 +72,7 @@ public final class BinaryHeapOpenSet implements IOpenSet {
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int index = val.heapPosition;
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int parentInd = index >>> 1;
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double cost = val.combinedCost;
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PathNode[] array = this.array;
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PathNode parentNode = array[parentInd];
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while (index > 1 && parentNode.combinedCost > cost) {
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array[index] = parentNode;
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@ -94,40 +95,50 @@ public final class BinaryHeapOpenSet implements IOpenSet {
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if (size == 0) {
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throw new IllegalStateException();
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}
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PathNode[] array = this.array;
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PathNode result = array[1];
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PathNode val = array[size];
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array[1] = val;
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val.heapPosition = 1;
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array[size] = null;
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size--;
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int size = --this.size;
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result.heapPosition = -1;
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if (size < 2) {
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return result;
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}
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int index = 1;
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int smallerChild = 2;
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int smallerChild = 1;
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double cost = val.combinedCost;
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do {
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while ((smallerChild <<= 1) < size) {
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PathNode smallerChildNode = array[smallerChild];
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PathNode otherChildNode = array[smallerChild + 1];
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double smallerChildCost = smallerChildNode.combinedCost;
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if (smallerChild < size) {
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PathNode rightChildNode = array[smallerChild + 1];
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double rightChildCost = rightChildNode.combinedCost;
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if (smallerChildCost > rightChildCost) {
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smallerChild++;
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smallerChildCost = rightChildCost;
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smallerChildNode = rightChildNode;
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}
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double rightChildCost = otherChildNode.combinedCost;
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if (smallerChildCost > rightChildCost) {
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smallerChild++;
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smallerChildCost = rightChildCost;
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smallerChildNode = otherChildNode;
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}
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if (cost <= smallerChildCost) {
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break;
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return result;
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}
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array[index] = smallerChildNode;
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array[smallerChild] = val;
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val.heapPosition = smallerChild;
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smallerChildNode.heapPosition = index;
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index = smallerChild;
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} while ((smallerChild <<= 1) <= size);
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}
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// if we get here, then smallerChild >= size
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// one last swap to check
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if (smallerChild == size) {
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PathNode onlyChildNode = array[smallerChild];
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if (cost > onlyChildNode.combinedCost) {
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array[index] = onlyChildNode;
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array[smallerChild] = val;
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val.heapPosition = smallerChild;
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onlyChildNode.heapPosition = index;
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}
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}
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return result;
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}
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}
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@ -36,24 +36,39 @@ public class OpenSetsTest {
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this.size = size;
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}
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private static final ArrayList<Long> insertions = new ArrayList<>();
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private static final ArrayList<Long> removal1 = new ArrayList<>();
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private static final ArrayList<Long> removal2 = new ArrayList<>();
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@Parameterized.Parameters
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public static Collection<Object[]> data() {
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ArrayList<Object[]> testSizes = new ArrayList<>();
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for (int size = 1; size < 20; size++) {
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/*for (int size = 1; size < 20; size++) {
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testSizes.add(new Object[]{size});
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}
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for (int size = 100; size <= 1000; size += 100) {
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testSizes.add(new Object[]{size});
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}
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testSizes.add(new Object[]{5000});
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testSizes.add(new Object[]{10000});
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testSizes.add(new Object[]{10000});*/
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testSizes.add(new Object[]{100000});
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testSizes.add(new Object[]{100000});
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testSizes.add(new Object[]{100000});
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testSizes.add(new Object[]{100000});
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testSizes.add(new Object[]{100000});
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testSizes.add(new Object[]{100000});
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testSizes.add(new Object[]{100000});
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testSizes.add(new Object[]{100000});
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testSizes.add(new Object[]{100000});
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testSizes.add(new Object[]{100000});
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testSizes.add(new Object[]{100000});
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return testSizes;
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}
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private static void removeAndTest(int amount, IOpenSet[] test, Optional<Collection<PathNode>> mustContain) {
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double[][] results = new double[test.length][amount];
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for (int i = 0; i < test.length; i++) {
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long before = System.nanoTime() / 1000000L;
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long before = System.nanoTime();
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for (int j = 0; j < amount; j++) {
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PathNode pn = test[i].removeLowest();
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if (mustContain.isPresent() && !mustContain.get().contains(pn)) {
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@ -61,7 +76,13 @@ public class OpenSetsTest {
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}
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results[i][j] = pn.combinedCost;
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}
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System.out.println(test[i].getClass() + " " + (System.nanoTime() / 1000000L - before));
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long time = System.nanoTime() - before;
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System.out.println(test[i].getClass() + " " + (time));
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if (mustContain.isPresent()) {
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removal1.add(time);
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} else {
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removal2.add(time);
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}
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}
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for (int j = 0; j < amount; j++) {
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for (int i = 1; i < test.length; i++) {
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@ -75,10 +96,16 @@ public class OpenSetsTest {
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@Test
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public void testSize() {
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try {
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System.gc();
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Thread.sleep(1000L);
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} catch (InterruptedException e) {
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e.printStackTrace();
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}
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System.out.println("Testing size " + size);
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// Include LinkedListOpenSet even though it's not performant because I absolutely trust that it behaves properly
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// I'm really testing the heap implementations against it as the ground truth
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IOpenSet[] test = new IOpenSet[]{new BinaryHeapOpenSet(), new LinkedListOpenSet()};
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IOpenSet[] test = new IOpenSet[]{new BinaryHeapOpenSet()/*, new LinkedListOpenSet()*/};
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for (IOpenSet set : test) {
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assertTrue(set.isEmpty());
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}
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@ -116,10 +143,12 @@ public class OpenSetsTest {
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System.out.println("Insertion");
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for (IOpenSet set : test) {
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long before = System.nanoTime() / 1000000L;
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long before = System.nanoTime();
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for (int i = 0; i < size; i++)
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set.insert(toInsert[i]);
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System.out.println(set.getClass() + " " + (System.nanoTime() / 1000000L - before));
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long time = System.nanoTime() - before;
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System.out.println(set.getClass() + " " + (time));
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insertions.add(time);
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//all three take either 0 or 1ms to insert up to 10,000 nodes
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//linkedlist takes 0ms most often (because there's no array resizing or allocation there, just pointer shuffling)
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}
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@ -166,5 +195,18 @@ public class OpenSetsTest {
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for (IOpenSet set : test) {
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assertTrue(set.isEmpty());
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}
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printo(insertions);
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printo(removal1);
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printo(removal2);
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}
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private static void printo(ArrayList<Long> data) {
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if (data.size() < 3) {
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return;
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}
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System.out.println(data.subList(2, data.size()).stream().mapToLong(x -> x).average().getAsDouble() / 1000000D);
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}
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}
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