refactor: cleanup InsertionSort
(#5322)
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@ -1,27 +1,43 @@
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package com.thealgorithms.sorts;
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import java.util.function.Function;
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class InsertionSort implements SortAlgorithm {
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/**
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* Generic insertion sort algorithm in increasing order.
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* Sorts the given array using the standard Insertion Sort algorithm.
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*
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* @param array the array to be sorted.
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* @param <T> the class of array.
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* @return sorted array.
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* @param array The array to be sorted
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* @param <T> The type of elements in the array, which must be comparable
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* @return The sorted array
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*/
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@Override
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public <T extends Comparable<T>> T[] sort(T[] array) {
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return sort(array, 0, array.length);
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}
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public <T extends Comparable<T>> T[] sort(T[] array, int lo, int hi) {
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for (int i = lo; i < hi; i++) {
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for (int j = i; j > lo && SortUtils.less(array[j], array[j - 1]); j--) {
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SortUtils.swap(array, j, j - 1);
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/**
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* Sorts a subarray of the given array using the standard Insertion Sort algorithm.
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*
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* @param array The array to be sorted
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* @param lo The starting index of the subarray
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* @param hi The ending index of the subarray (exclusive)
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* @param <T> The type of elements in the array, which must be comparable
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* @return The sorted array
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*/
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public <T extends Comparable<T>> T[] sort(T[] array, final int lo, final int hi) {
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if (array == null || lo >= hi) {
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return array;
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}
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for (int i = lo + 1; i < hi; i++) {
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final T key = array[i];
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int j = i - 1;
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while (j >= lo && SortUtils.less(key, array[j])) {
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array[j + 1] = array[j];
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j--;
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}
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array[j + 1] = key;
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}
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return array;
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}
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@ -31,34 +47,25 @@ class InsertionSort implements SortAlgorithm {
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* comparisons like `j > 0` and swaps (we can move elements on position right, until we find
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* the right position for the chosen element) on further step.
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*
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* @param array the array to be sorted
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* @param <T> Generic type which extends Comparable interface.
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* @return sorted array
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* @param array The array to be sorted
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* @param <T> The type of elements in the array, which must be comparable
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* @return The sorted array
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*/
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public <T extends Comparable<T>> T[] sentinelSort(T[] array) {
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int minElemIndex = 0;
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int n = array.length;
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if (n < 1) {
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if (array == null || array.length <= 1) {
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return array;
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}
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// put the smallest element to the 0 position as a sentinel, which will allow us to avoid
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// redundant comparisons like `j > 0` further
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for (int i = 1; i < n; i++) {
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if (SortUtils.less(array[i], array[minElemIndex])) {
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minElemIndex = i;
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}
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}
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final int minElemIndex = findMinIndex(array);
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SortUtils.swap(array, 0, minElemIndex);
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for (int i = 2; i < n; i++) {
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for (int i = 2; i < array.length; i++) {
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final T currentValue = array[i];
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int j = i;
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T currentValue = array[i];
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while (SortUtils.less(currentValue, array[j - 1])) {
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while (j > 0 && SortUtils.less(currentValue, array[j - 1])) {
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array[j] = array[j - 1];
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j--;
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}
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array[j] = currentValue;
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}
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@ -66,29 +73,19 @@ class InsertionSort implements SortAlgorithm {
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}
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/**
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* Driver Code
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* Finds the index of the minimum element in the array.
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*
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* @param array The array to be searched
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* @param <T> The type of elements in the array, which must be comparable
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* @return The index of the minimum element
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*/
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public static void main(String[] args) {
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int size = 100_000;
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Double[] randomArray = SortUtilsRandomGenerator.generateArray(size);
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Double[] copyRandomArray = new Double[size];
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System.arraycopy(randomArray, 0, copyRandomArray, 0, size);
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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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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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// ~ 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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private <T extends Comparable<T>> int findMinIndex(final T[] array) {
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int minIndex = 0;
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for (int i = 1; i < array.length; i++) {
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if (SortUtils.less(array[i], array[minIndex])) {
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minIndex = i;
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}
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private static double measureApproxExecTime(Function<Double[], Double[]> sortAlgorithm, Double[] randomArray) {
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long start = System.currentTimeMillis();
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sortAlgorithm.apply(randomArray);
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long end = System.currentTimeMillis();
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return (end - start) / 1000.0;
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}
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return minIndex;
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}
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}
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