style: include VA_FORMAT_STRING_USES_NEWLINE
(#5151)
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7bff82f175
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@ -8,9 +8,6 @@
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<Match>
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<Bug pattern="DMI_RANDOM_USED_ONLY_ONCE" />
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</Match>
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<Match>
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<Bug pattern="VA_FORMAT_STRING_USES_NEWLINE" />
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</Match>
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<Match>
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<Bug pattern="SF_SWITCH_NO_DEFAULT" />
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</Match>
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@ -213,7 +213,7 @@ public class HashMapCuckooHashing {
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public double checkLoadFactor() {
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double factor = (double) size / tableSize;
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if (factor > .7) {
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System.out.printf("Load factor is %.2f , rehashing table\n", factor);
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System.out.printf("Load factor is %.2f , rehashing table%n", factor);
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reHashTableIncreasesTableSize();
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}
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return factor;
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@ -54,7 +54,7 @@ public final class MainCuckooHashing {
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break;
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}
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case 6: {
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System.out.printf("Load factor is: %.2f\n", h.checkLoadFactor());
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System.out.printf("Load factor is: %.2f%n", h.checkLoadFactor());
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break;
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}
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case 7: {
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@ -81,7 +81,7 @@ public final class CreateAndDetectLoop {
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System.out.println("Enter the number of elements to be inserted: ");
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int n = sc.nextInt();
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System.out.printf("Enter the %d elements: \n", n);
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System.out.printf("Enter the %d elements: %n", n);
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while (n-- > 0) {
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singlyLinkedList.insert(sc.nextInt());
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}
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@ -12,7 +12,7 @@ final class TowerOfHanoi {
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// Shift function is called in recursion for swapping the n-1 disc from the startPole to
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// the intermediatePole
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shift(n - 1, startPole, endPole, intermediatePole);
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System.out.format("Move %d from %s to %s\n", n, startPole, endPole); // Result Printing
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System.out.format("Move %d from %s to %s%n", n, startPole, endPole); // Result Printing
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// Shift function is called in recursion for swapping the n-1 disc from the
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// intermediatePole to the endPole
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shift(n - 1, intermediatePole, startPole, endPole);
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@ -78,7 +78,7 @@ public class MonteCarloTreeSearch {
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winnerNode = getWinnerNode(rootNode);
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printScores(rootNode);
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System.out.format("\nThe optimal node is: %02d\n", rootNode.childNodes.indexOf(winnerNode) + 1);
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System.out.format("%nThe optimal node is: %02d%n", rootNode.childNodes.indexOf(winnerNode) + 1);
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return winnerNode;
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}
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@ -71,13 +71,13 @@ class InsertionSort implements SortAlgorithm {
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InsertionSort insertionSort = new InsertionSort();
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double insertionTime = measureApproxExecTime(insertionSort::sort, randomArray);
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System.out.printf("Original insertion time: %5.2f sec.\n", insertionTime);
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System.out.printf("Original insertion time: %5.2f sec.%n", insertionTime);
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double insertionSentinelTime = measureApproxExecTime(insertionSort::sentinelSort, copyRandomArray);
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System.out.printf("Sentinel insertion time: %5.2f sec.\n", insertionSentinelTime);
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System.out.printf("Sentinel insertion time: %5.2f sec.%n", insertionSentinelTime);
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// ~ 1.5 time sentinel sort is faster, then classical Insertion sort implementation.
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System.out.printf("Sentinel insertion is %f3.2 time faster than Original insertion sort\n", insertionTime / insertionSentinelTime);
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System.out.printf("Sentinel insertion is %f3.2 time faster than Original insertion sort%n", insertionTime / insertionSentinelTime);
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}
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private static double measureApproxExecTime(Function<Double[], Double[]> sortAlgorithm, Double[] randomArray) {
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