96 lines
2.7 KiB
Java
96 lines
2.7 KiB
Java
package Searches;
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import java.util.Arrays;
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import java.util.Random;
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import java.util.concurrent.ThreadLocalRandom;
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import java.util.stream.IntStream;
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import static java.lang.String.format;
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/**
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*
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*
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*
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* Binary search is one of the most popular algorithms
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* The algorithm finds the position of a target value within a sorted array
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*
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* Worst-case performance O(log n)
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* Best-case performance O(1)
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* Average performance O(log n)
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* Worst-case space complexity O(1)
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*
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*
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* @author Varun Upadhyay (https://github.com/varunu28)
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* @author Podshivalov Nikita (https://github.com/nikitap492)
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*
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* @see SearchAlgorithm
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* @see IterativeBinarySearch
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*
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*/
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class BinarySearch implements SearchAlgorithm {
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/**
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*
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* @param array is an array where the element should be found
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* @param key is an element which should be found
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* @param <T> is any comparable type
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* @return index of the element
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*/
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@Override
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public <T extends Comparable<T>> int find(T[] array, T key) {
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return search(array, key, 0, array.length);
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}
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/**
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* This method implements the Generic Binary Search
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*
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* @param array The array to make the binary search
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* @param key The number you are looking for
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* @param left The lower bound
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* @param right The upper bound
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* @return the location of the key
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**/
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private <T extends Comparable<T>> int search(T array[], T key, int left, int right){
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if (right < left) return -1; // this means that the key not found
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// find median
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int median = (left + right) >>> 1;
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int comp = key.compareTo(array[median]);
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if (comp == 0) {
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return median;
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} else if (comp < 0) {
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return search(array, key, left, median - 1);
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} else {
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return search(array, key, median + 1, right);
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}
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}
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// Driver Program
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public static void main(String[] args) {
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// Just generate data
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Random r = ThreadLocalRandom.current();
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int size = 100;
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int maxElement = 100000;
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Integer[] integers = IntStream.generate(() -> r.nextInt(maxElement)).limit(size).sorted().boxed().toArray(Integer[]::new);
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// The element that should be found
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int shouldBeFound = integers[r.nextInt(size - 1)];
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BinarySearch search = new BinarySearch();
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int atIndex = search.find(integers, shouldBeFound);
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System.out.println(format(
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"Should be found: %d. Found %d at index %d. An array length %d",
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shouldBeFound, integers[atIndex], atIndex, size
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));
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int toCheck = Arrays.binarySearch(integers, shouldBeFound);
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System.out.println(format("Found by system method at an index: %d. Is equal: %b", toCheck, toCheck == atIndex));
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}
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}
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