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translation: Add Python and Java code for EN version (#1345)
* Add the intial translation of code of all the languages * test * revert * Remove * Add Python and Java code for EN version
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/**
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* File: binary_search.java
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* Created Time: 2022-11-25
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* Author: krahets (krahets@163.com)
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*/
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package chapter_searching;
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public class binary_search {
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/* Binary search (double closed interval) */
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static int binarySearch(int[] nums, int target) {
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// Initialize double closed interval [0, n-1], i.e., i, j point to the first element and last element of the array respectively
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int i = 0, j = nums.length - 1;
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// Loop until the search interval is empty (when i > j, it is empty)
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while (i <= j) {
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int m = i + (j - i) / 2; // Calculate midpoint index m
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if (nums[m] < target) // This situation indicates that target is in the interval [m+1, j]
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i = m + 1;
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else if (nums[m] > target) // This situation indicates that target is in the interval [i, m-1]
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j = m - 1;
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else // Found the target element, thus return its index
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return m;
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}
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// Did not find the target element, thus return -1
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return -1;
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}
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/* Binary search (left closed right open interval) */
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static int binarySearchLCRO(int[] nums, int target) {
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// Initialize left closed right open interval [0, n), i.e., i, j point to the first element and the last element +1 of the array respectively
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int i = 0, j = nums.length;
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// Loop until the search interval is empty (when i = j, it is empty)
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while (i < j) {
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int m = i + (j - i) / 2; // Calculate midpoint index m
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if (nums[m] < target) // This situation indicates that target is in the interval [m+1, j)
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i = m + 1;
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else if (nums[m] > target) // This situation indicates that target is in the interval [i, m)
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j = m;
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else // Found the target element, thus return its index
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return m;
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}
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// Did not find the target element, thus return -1
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return -1;
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}
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public static void main(String[] args) {
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int target = 6;
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int[] nums = { 1, 3, 6, 8, 12, 15, 23, 26, 31, 35 };
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/* Binary search (double closed interval) */
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int index = binarySearch(nums, target);
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System.out.println("Index of target element 6 =" + index);
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/* Binary search (left closed right open interval) */
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index = binarySearchLCRO(nums, target);
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System.out.println("Index of target element 6 =" + index);
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}
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}
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/**
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* File: binary_search_edge.java
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* Created Time: 2023-08-04
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* Author: krahets (krahets@163.com)
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*/
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package chapter_searching;
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public class binary_search_edge {
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/* Binary search for the leftmost target */
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static int binarySearchLeftEdge(int[] nums, int target) {
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// Equivalent to finding the insertion point of target
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int i = binary_search_insertion.binarySearchInsertion(nums, target);
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// Did not find target, thus return -1
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if (i == nums.length || nums[i] != target) {
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return -1;
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}
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// Found target, return index i
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return i;
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}
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/* Binary search for the rightmost target */
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static int binarySearchRightEdge(int[] nums, int target) {
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// Convert to finding the leftmost target + 1
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int i = binary_search_insertion.binarySearchInsertion(nums, target + 1);
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// j points to the rightmost target, i points to the first element greater than target
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int j = i - 1;
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// Did not find target, thus return -1
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if (j == -1 || nums[j] != target) {
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return -1;
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}
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// Found target, return index j
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return j;
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}
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public static void main(String[] args) {
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// Array with duplicate elements
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int[] nums = { 1, 3, 6, 6, 6, 6, 6, 10, 12, 15 };
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System.out.println("\nArray nums = " + java.util.Arrays.toString(nums));
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// Binary search for left and right boundaries
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for (int target : new int[] { 6, 7 }) {
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int index = binarySearchLeftEdge(nums, target);
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System.out.println("The leftmost index of element " + target + " is " + index);
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index = binarySearchRightEdge(nums, target);
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System.out.println("The rightmost index of element " + target + " is " + index);
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}
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}
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}
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/**
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* File: binary_search_insertion.java
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* Created Time: 2023-08-04
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* Author: krahets (krahets@163.com)
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*/
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package chapter_searching;
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class binary_search_insertion {
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/* Binary search for insertion point (no duplicate elements) */
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static int binarySearchInsertionSimple(int[] nums, int target) {
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int i = 0, j = nums.length - 1; // Initialize double closed interval [0, n-1]
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while (i <= j) {
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int m = i + (j - i) / 2; // Calculate midpoint index m
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if (nums[m] < target) {
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i = m + 1; // Target is in interval [m+1, j]
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} else if (nums[m] > target) {
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j = m - 1; // Target is in interval [i, m-1]
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} else {
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return m; // Found target, return insertion point m
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}
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}
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// Did not find target, return insertion point i
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return i;
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}
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/* Binary search for insertion point (with duplicate elements) */
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static int binarySearchInsertion(int[] nums, int target) {
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int i = 0, j = nums.length - 1; // Initialize double closed interval [0, n-1]
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while (i <= j) {
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int m = i + (j - i) / 2; // Calculate midpoint index m
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if (nums[m] < target) {
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i = m + 1; // Target is in interval [m+1, j]
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} else if (nums[m] > target) {
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j = m - 1; // Target is in interval [i, m-1]
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} else {
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j = m - 1; // First element less than target is in interval [i, m-1]
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}
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}
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// Return insertion point i
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return i;
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}
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public static void main(String[] args) {
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// Array without duplicate elements
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int[] nums = { 1, 3, 6, 8, 12, 15, 23, 26, 31, 35 };
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System.out.println("\nArray nums = " + java.util.Arrays.toString(nums));
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// Binary search for insertion point
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for (int target : new int[] { 6, 9 }) {
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int index = binarySearchInsertionSimple(nums, target);
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System.out.println("The insertion point index for element " + target + " is " + index);
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}
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// Array with duplicate elements
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nums = new int[] { 1, 3, 6, 6, 6, 6, 6, 10, 12, 15 };
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System.out.println("\nArray nums = " + java.util.Arrays.toString(nums));
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// Binary search for insertion point
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for (int target : new int[] { 2, 6, 20 }) {
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int index = binarySearchInsertion(nums, target);
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System.out.println("The insertion point index for element " + target + " is " + index);
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}
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}
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}
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/**
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* File: hashing_search.java
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* Created Time: 2022-11-25
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* Author: krahets (krahets@163.com)
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*/
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package chapter_searching;
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import utils.*;
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import java.util.*;
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public class hashing_search {
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/* Hash search (array) */
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static int hashingSearchArray(Map<Integer, Integer> map, int target) {
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// Hash table's key: target element, value: index
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// If the hash table does not contain this key, return -1
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return map.getOrDefault(target, -1);
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}
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/* Hash search (linked list) */
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static ListNode hashingSearchLinkedList(Map<Integer, ListNode> map, int target) {
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// Hash table key: target node value, value: node object
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// If the key is not in the hash table, return null
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return map.getOrDefault(target, null);
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}
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public static void main(String[] args) {
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int target = 3;
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/* Hash search (array) */
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int[] nums = { 1, 5, 3, 2, 4, 7, 5, 9, 10, 8 };
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// Initialize hash table
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Map<Integer, Integer> map = new HashMap<>();
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for (int i = 0; i < nums.length; i++) {
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map.put(nums[i], i); // key: element, value: index
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}
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int index = hashingSearchArray(map, target);
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System.out.println("The index of target element 3 is " + index);
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/* Hash search (linked list) */
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ListNode head = ListNode.arrToLinkedList(nums);
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// Initialize hash table
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Map<Integer, ListNode> map1 = new HashMap<>();
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while (head != null) {
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map1.put(head.val, head); // key: node value, value: node
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head = head.next;
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}
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ListNode node = hashingSearchLinkedList(map1, target);
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System.out.println("The corresponding node object for target node value 3 is " + node);
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}
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}
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/**
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* File: linear_search.java
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* Created Time: 2022-11-25
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* Author: krahets (krahets@163.com)
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*/
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package chapter_searching;
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import utils.*;
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public class linear_search {
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/* Linear search (array) */
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static int linearSearchArray(int[] nums, int target) {
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// Traverse array
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for (int i = 0; i < nums.length; i++) {
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// Found the target element, thus return its index
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if (nums[i] == target)
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return i;
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}
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// Did not find the target element, thus return -1
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return -1;
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}
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/* Linear search (linked list) */
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static ListNode linearSearchLinkedList(ListNode head, int target) {
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// Traverse the list
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while (head != null) {
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// Found the target node, return it
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if (head.val == target)
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return head;
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head = head.next;
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}
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// If the target node is not found, return null
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return null;
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}
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public static void main(String[] args) {
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int target = 3;
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/* Perform linear search in array */
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int[] nums = { 1, 5, 3, 2, 4, 7, 5, 9, 10, 8 };
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int index = linearSearchArray(nums, target);
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System.out.println("The index of target element 3 is " + index);
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/* Perform linear search in linked list */
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ListNode head = ListNode.arrToLinkedList(nums);
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ListNode node = linearSearchLinkedList(head, target);
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System.out.println("The corresponding node object for target node value 3 is " + node);
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}
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}
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/**
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* File: two_sum.java
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* Created Time: 2022-11-25
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* Author: krahets (krahets@163.com)
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*/
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package chapter_searching;
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import java.util.*;
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public class two_sum {
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/* Method one: Brute force enumeration */
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static int[] twoSumBruteForce(int[] nums, int target) {
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int size = nums.length;
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// Two-layer loop, time complexity is O(n^2)
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for (int i = 0; i < size - 1; i++) {
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for (int j = i + 1; j < size; j++) {
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if (nums[i] + nums[j] == target)
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return new int[] { i, j };
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}
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}
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return new int[0];
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}
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/* Method two: Auxiliary hash table */
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static int[] twoSumHashTable(int[] nums, int target) {
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int size = nums.length;
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// Auxiliary hash table, space complexity is O(n)
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Map<Integer, Integer> dic = new HashMap<>();
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// Single-layer loop, time complexity is O(n)
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for (int i = 0; i < size; i++) {
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if (dic.containsKey(target - nums[i])) {
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return new int[] { dic.get(target - nums[i]), i };
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}
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dic.put(nums[i], i);
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}
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return new int[0];
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}
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public static void main(String[] args) {
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// ======= Test Case =======
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int[] nums = { 2, 7, 11, 15 };
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int target = 13;
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// ====== Driver Code ======
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// Method one
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int[] res = twoSumBruteForce(nums, target);
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System.out.println("Method one res = " + Arrays.toString(res));
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// Method two
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res = twoSumHashTable(nums, target);
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System.out.println("Method two res = " + Arrays.toString(res));
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}
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}
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