mirror of
https://github.com/krahets/hello-algo.git
synced 2024-12-24 10:56:29 +08:00
Format the Java codes with the Reat Hat extension.
This commit is contained in:
parent
7273ee24e8
commit
f8513455b5
39 changed files with 195 additions and 205 deletions
3
.gitignore
vendored
3
.gitignore
vendored
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@ -13,3 +13,6 @@ docs/overrides/
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build/
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site/
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utils/
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# test script
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test.sh
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@ -13,8 +13,7 @@ public class array {
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/* 随机返回一个数组元素 */
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static int randomAccess(int[] nums) {
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// 在区间 [0, nums.length) 中随机抽取一个数字
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int randomIndex = ThreadLocalRandom.current().
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nextInt(0, nums.length);
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int randomIndex = ThreadLocalRandom.current().nextInt(0, nums.length);
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// 获取并返回随机元素
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int randomNum = nums[randomIndex];
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return randomNum;
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@ -20,7 +20,7 @@ class MyList {
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nums = new int[capacity];
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}
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/* 获取列表长度(即当前元素数量)*/
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/* 获取列表长度(即当前元素数量) */
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public int size() {
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return size;
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}
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@ -8,7 +8,6 @@ package chapter_computational_complexity;
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import java.util.*;
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public class leetcode_two_sum {
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/* 方法一:暴力枚举 */
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static int[] twoSumBruteForce(int[] nums, int target) {
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@ -40,7 +39,7 @@ public class leetcode_two_sum {
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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[] nums = { 2, 7, 11, 15 };
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int target = 9;
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// ====== Driver Code ======
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@ -52,7 +52,8 @@ public class space_complexity {
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/* 线性阶(递归实现) */
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static void linearRecur(int n) {
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System.out.println("递归 n = " + n);
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if (n == 1) return;
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if (n == 1)
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return;
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linearRecur(n - 1);
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}
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@ -73,7 +74,8 @@ public class space_complexity {
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/* 平方阶(递归实现) */
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static int quadraticRecur(int n) {
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if (n <= 0) return 0;
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if (n <= 0)
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return 0;
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// 数组 nums 长度为 n, n-1, ..., 2, 1
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int[] nums = new int[n];
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System.out.println("递归 n = " + n + " 中的 nums 长度 = " + nums.length);
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@ -82,7 +84,8 @@ public class space_complexity {
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/* 指数阶(建立满二叉树) */
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static TreeNode buildTree(int n) {
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if (n == 0) return null;
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if (n == 0)
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return null;
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TreeNode root = new TreeNode(0);
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root.left = buildTree(n - 1);
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root.right = buildTree(n - 1);
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@ -81,7 +81,8 @@ public class time_complexity {
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/* 指数阶(递归实现) */
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static int expRecur(int n) {
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if (n == 1) return 1;
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if (n == 1)
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return 1;
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return expRecur(n - 1) + expRecur(n - 1) + 1;
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}
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@ -97,13 +98,15 @@ public class time_complexity {
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/* 对数阶(递归实现) */
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static int logRecur(float n) {
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if (n <= 1) return 0;
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if (n <= 1)
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return 0;
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return logRecur(n / 2) + 1;
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}
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/* 线性对数阶 */
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static int linearLogRecur(float n) {
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if (n <= 1) return 1;
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if (n <= 1)
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return 1;
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int count = linearLogRecur(n / 2) +
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linearLogRecur(n / 2);
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for (int i = 0; i < n; i++) {
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@ -114,7 +117,8 @@ public class time_complexity {
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/* 阶乘阶(递归实现) */
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static int factorialRecur(int n) {
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if (n == 0) return 1;
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if (n == 0)
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return 1;
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int count = 0;
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// 从 1 个分裂出 n 个
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for (int i = 0; i < n; i++) {
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@ -12,6 +12,7 @@ import java.util.*;
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class Entry {
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public int key;
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public String val;
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public Entry(int key, String val) {
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this.key = key;
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this.val = val;
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@ -21,6 +22,7 @@ class Entry {
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/* 基于数组简易实现的哈希表 */
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class ArrayHashMap {
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private List<Entry> buckets;
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public ArrayHashMap() {
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// 初始化数组,包含 100 个桶
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buckets = new ArrayList<>();
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@ -39,7 +41,8 @@ class ArrayHashMap {
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public String get(int key) {
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int index = hashFunc(key);
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Entry pair = buckets.get(index);
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if (pair == null) return null;
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if (pair == null)
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return null;
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return pair.val;
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}
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@ -89,13 +92,12 @@ class ArrayHashMap {
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/* 打印哈希表 */
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public void print() {
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for (Entry kv: entrySet()) {
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for (Entry kv : entrySet()) {
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System.out.println(kv.key + " -> " + kv.val);
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}
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}
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}
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public class array_hash_map {
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public static void main(String[] args) {
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/* 初始化哈希表 */
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@ -124,15 +126,15 @@ public class array_hash_map {
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/* 遍历哈希表 */
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System.out.println("\n遍历键值对 Key->Value");
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for (Entry kv: map.entrySet()) {
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for (Entry kv : map.entrySet()) {
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System.out.println(kv.key + " -> " + kv.val);
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}
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System.out.println("\n单独遍历键 Key");
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for (int key: map.keySet()) {
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for (int key : map.keySet()) {
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System.out.println(key);
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}
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System.out.println("\n单独遍历值 Value");
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for (String val: map.valueSet()) {
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for (String val : map.valueSet()) {
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System.out.println(val);
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}
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}
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@ -37,15 +37,15 @@ public class hash_map {
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/* 遍历哈希表 */
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System.out.println("\n遍历键值对 Key->Value");
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for (Map.Entry <Integer, String> kv: map.entrySet()) {
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for (Map.Entry<Integer, String> kv : map.entrySet()) {
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System.out.println(kv.getKey() + " -> " + kv.getValue());
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}
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System.out.println("\n单独遍历键 Key");
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for (int key: map.keySet()) {
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for (int key : map.keySet()) {
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System.out.println(key);
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}
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System.out.println("\n单独遍历值 Value");
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for (String val: map.values()) {
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for (String val : map.values()) {
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System.out.println(val);
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}
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}
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@ -9,7 +9,6 @@ package chapter_heap;
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import include.*;
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import java.util.*;
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public class heap {
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public static void testPush(Queue<Integer> heap, int val) {
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heap.offer(val); // 元素入堆
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@ -41,9 +41,9 @@ class MaxHeap {
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/* 交换元素 */
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private void swap(int i, int j) {
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int a = maxHeap.get(i),
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b = maxHeap.get(j),
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tmp = a;
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int a = maxHeap.get(i);
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int b = maxHeap.get(j);
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int tmp = a;
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maxHeap.set(i, b);
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maxHeap.set(j, tmp);
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}
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@ -111,7 +111,8 @@ class MaxHeap {
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if (r < size() && maxHeap.get(r) > maxHeap.get(ma))
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ma = r;
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// 若节点 i 最大或索引 l, r 越界,则无需继续堆化,跳出
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if (ma == i) break;
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if (ma == i)
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break;
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// 交换两节点
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swap(i, ma);
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// 循环向下堆化
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@ -127,7 +128,6 @@ class MaxHeap {
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}
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}
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public class my_heap {
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public static void main(String[] args) {
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/* 初始化大顶堆 */
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@ -25,7 +25,7 @@ public class bubble_sort {
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}
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}
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/* 冒泡排序(标志优化)*/
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/* 冒泡排序(标志优化) */
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static void bubbleSortWithFlag(int[] nums) {
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// 外循环:待排序元素数量为 n-1, n-2, ..., 1
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for (int i = nums.length - 1; i > 0; i--) {
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@ -40,7 +40,8 @@ public class bubble_sort {
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flag = true; // 记录交换元素
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}
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}
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if (!flag) break; // 此轮冒泡未交换任何元素,直接跳出
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if (!flag)
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break; // 此轮冒泡未交换任何元素,直接跳出
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}
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}
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@ -38,7 +38,8 @@ public class merge_sort {
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/* 归并排序 */
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static void mergeSort(int[] nums, int left, int right) {
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// 终止条件
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if (left >= right) return; // 当子数组长度为 1 时终止递归
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if (left >= right)
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return; // 当子数组长度为 1 时终止递归
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// 划分阶段
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int mid = (left + right) / 2; // 计算中点
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mergeSort(nums, left, mid); // 递归左子数组
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@ -47,7 +47,8 @@ public class radix_sort {
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// 获取数组的最大元素,用于判断最大位数
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int m = Integer.MIN_VALUE;
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for (int num : nums)
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if (num > m) m = num;
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if (num > m)
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m = num;
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// 按照从低位到高位的顺序遍历
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for (int exp = 1; exp <= m; exp *= 10)
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// 对数组元素的第 k 位执行计数排序
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@ -11,6 +11,7 @@ import java.util.*;
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/* 基于数组实现的栈 */
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class ArrayStack {
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private ArrayList<Integer> stack;
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public ArrayStack() {
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// 初始化列表(动态数组)
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stack = new ArrayList<>();
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@ -13,6 +13,7 @@ class ListNode {
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int val; // 节点值
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ListNode next; // 后继节点引用(指针)
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ListNode prev; // 前驱节点引用(指针)
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ListNode(int val) {
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this.val = val;
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prev = next = null;
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@ -27,7 +27,8 @@ class AVLTree {
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/* 获取平衡因子 */
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public int balanceFactor(TreeNode node) {
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// 空节点平衡因子为 0
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if (node == null) return 0;
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if (node == null)
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return 0;
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// 节点平衡因子 = 左子树高度 - 右子树高度
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return height(node.left) - height(node.right);
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}
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@ -98,7 +99,8 @@ class AVLTree {
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/* 递归插入节点(辅助方法) */
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private TreeNode insertHelper(TreeNode node, int val) {
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if (node == null) return new TreeNode(val);
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if (node == null)
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return new TreeNode(val);
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/* 1. 查找插入位置,并插入节点 */
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if (val < node.val)
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node.left = insertHelper(node.left, val);
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@ -121,7 +123,8 @@ class AVLTree {
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/* 递归删除节点(辅助方法) */
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private TreeNode removeHelper(TreeNode node, int val) {
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if (node == null) return null;
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if (node == null)
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return null;
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/* 1. 查找节点,并删除之 */
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if (val < node.val)
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node.left = removeHelper(node.left, val);
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@ -152,7 +155,8 @@ class AVLTree {
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/* 获取中序遍历中的下一个节点(仅适用于 root 有左子节点的情况) */
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private TreeNode getInOrderNext(TreeNode node) {
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if (node == null) return node;
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if (node == null)
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return node;
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// 循环访问左子节点,直到叶节点时为最小节点,跳出
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while (node.left != null) {
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node = node.left;
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@ -25,7 +25,8 @@ class BinarySearchTree {
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/* 构建二叉搜索树 */
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public TreeNode buildTree(int[] nums, int i, int j) {
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if (i > j) return null;
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if (i > j)
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return null;
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// 将数组中间节点作为根节点
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int mid = (i + j) / 2;
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TreeNode root = new TreeNode(nums[mid]);
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@ -41,11 +42,14 @@ class BinarySearchTree {
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// 循环查找,越过叶节点后跳出
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while (cur != null) {
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// 目标节点在 cur 的右子树中
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if (cur.val < num) cur = cur.right;
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if (cur.val < num)
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cur = cur.right;
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// 目标节点在 cur 的左子树中
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else if (cur.val > num) cur = cur.left;
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else if (cur.val > num)
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cur = cur.left;
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// 找到目标节点,跳出循环
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else break;
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else
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break;
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}
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// 返回目标节点
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return cur;
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@ -54,49 +58,62 @@ class BinarySearchTree {
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/* 插入节点 */
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public TreeNode insert(int num) {
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// 若树为空,直接提前返回
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if (root == null) return null;
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if (root == null)
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return null;
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TreeNode cur = root, pre = null;
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// 循环查找,越过叶节点后跳出
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while (cur != null) {
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// 找到重复节点,直接返回
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if (cur.val == num) return null;
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if (cur.val == num)
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return null;
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pre = cur;
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// 插入位置在 cur 的右子树中
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if (cur.val < num) cur = cur.right;
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if (cur.val < num)
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cur = cur.right;
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// 插入位置在 cur 的左子树中
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else cur = cur.left;
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else
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cur = cur.left;
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}
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// 插入节点 val
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TreeNode node = new TreeNode(num);
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if (pre.val < num) pre.right = node;
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else pre.left = node;
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if (pre.val < num)
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pre.right = node;
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else
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pre.left = node;
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return node;
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}
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/* 删除节点 */
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public TreeNode remove(int num) {
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// 若树为空,直接提前返回
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if (root == null) return null;
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if (root == null)
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return null;
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TreeNode cur = root, pre = null;
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// 循环查找,越过叶节点后跳出
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while (cur != null) {
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// 找到待删除节点,跳出循环
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if (cur.val == num) break;
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if (cur.val == num)
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break;
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pre = cur;
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// 待删除节点在 cur 的右子树中
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if (cur.val < num) cur = cur.right;
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if (cur.val < num)
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cur = cur.right;
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// 待删除节点在 cur 的左子树中
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else cur = cur.left;
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else
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cur = cur.left;
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}
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// 若无待删除节点,则直接返回
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if (cur == null) return null;
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if (cur == null)
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return null;
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// 子节点数量 = 0 or 1
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if (cur.left == null || cur.right == null) {
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// 当子节点数量 = 0 / 1 时, child = null / 该子节点
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TreeNode child = cur.left != null ? cur.left : cur.right;
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// 删除节点 cur
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if (pre.left == cur) pre.left = child;
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else pre.right = child;
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if (pre.left == cur)
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pre.left = child;
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else
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pre.right = child;
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}
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// 子节点数量 = 2
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else {
|
||||
|
@ -113,7 +130,8 @@ class BinarySearchTree {
|
|||
|
||||
/* 获取中序遍历中的下一个节点(仅适用于 root 有左子节点的情况) */
|
||||
public TreeNode getInOrderNext(TreeNode root) {
|
||||
if (root == null) return root;
|
||||
if (root == null)
|
||||
return root;
|
||||
// 循环访问左子节点,直到叶节点时为最小节点,跳出
|
||||
while (root.left != null) {
|
||||
root = root.left;
|
||||
|
|
|
@ -15,7 +15,8 @@ public class binary_tree_dfs {
|
|||
|
||||
/* 前序遍历 */
|
||||
static void preOrder(TreeNode root) {
|
||||
if (root == null) return;
|
||||
if (root == null)
|
||||
return;
|
||||
// 访问优先级:根节点 -> 左子树 -> 右子树
|
||||
list.add(root.val);
|
||||
preOrder(root.left);
|
||||
|
@ -24,7 +25,8 @@ public class binary_tree_dfs {
|
|||
|
||||
/* 中序遍历 */
|
||||
static void inOrder(TreeNode root) {
|
||||
if (root == null) return;
|
||||
if (root == null)
|
||||
return;
|
||||
// 访问优先级:左子树 -> 根节点 -> 右子树
|
||||
inOrder(root.left);
|
||||
list.add(root.val);
|
||||
|
@ -33,7 +35,8 @@ public class binary_tree_dfs {
|
|||
|
||||
/* 后序遍历 */
|
||||
static void postOrder(TreeNode root) {
|
||||
if (root == null) return;
|
||||
if (root == null)
|
||||
return;
|
||||
// 访问优先级:左子树 -> 右子树 -> 根节点
|
||||
postOrder(root.left);
|
||||
postOrder(root.right);
|
||||
|
|
|
@ -6,9 +6,7 @@
|
|||
|
||||
package include;
|
||||
|
||||
/**
|
||||
* Definition for a singly-linked list node
|
||||
*/
|
||||
/* Definition for a singly-linked list node */
|
||||
public class ListNode {
|
||||
public int val;
|
||||
public ListNode next;
|
||||
|
@ -17,11 +15,7 @@ public class ListNode {
|
|||
val = x;
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate a linked list with an array
|
||||
* @param arr
|
||||
* @return
|
||||
*/
|
||||
/* Generate a linked list with an array */
|
||||
public static ListNode arrToLinkedList(int[] arr) {
|
||||
ListNode dum = new ListNode(0);
|
||||
ListNode head = dum;
|
||||
|
@ -32,12 +26,7 @@ public class ListNode {
|
|||
return dum.next;
|
||||
}
|
||||
|
||||
/**
|
||||
* Get a list node with specific value from a linked list
|
||||
* @param head
|
||||
* @param val
|
||||
* @return
|
||||
*/
|
||||
/* Get a list node with specific value from a linked list */
|
||||
public static ListNode getListNode(ListNode head, int val) {
|
||||
while (head != null && head.val != val) {
|
||||
head = head.next;
|
||||
|
|
|
@ -8,7 +8,6 @@ package include;
|
|||
|
||||
import java.util.*;
|
||||
|
||||
|
||||
class Trunk {
|
||||
Trunk prev;
|
||||
String str;
|
||||
|
@ -21,11 +20,7 @@ class Trunk {
|
|||
|
||||
public class PrintUtil {
|
||||
|
||||
/**
|
||||
* Print a matrix (Array)
|
||||
* @param <T>
|
||||
* @param matrix
|
||||
*/
|
||||
/* Print a matrix (Array) */
|
||||
public static <T> void printMatrix(T[][] matrix) {
|
||||
System.out.println("[");
|
||||
for (T[] row : matrix) {
|
||||
|
@ -34,11 +29,7 @@ public class PrintUtil {
|
|||
System.out.println("]");
|
||||
}
|
||||
|
||||
/**
|
||||
* Print a matrix (List)
|
||||
* @param <T>
|
||||
* @param matrix
|
||||
*/
|
||||
/* Print a matrix (List) */
|
||||
public static <T> void printMatrix(List<List<T>> matrix) {
|
||||
System.out.println("[");
|
||||
for (List<T> row : matrix) {
|
||||
|
@ -47,10 +38,7 @@ public class PrintUtil {
|
|||
System.out.println("]");
|
||||
}
|
||||
|
||||
/**
|
||||
* Print a linked list
|
||||
* @param head
|
||||
*/
|
||||
/* Print a linked list */
|
||||
public static void printLinkedList(ListNode head) {
|
||||
List<String> list = new ArrayList<>();
|
||||
while (head != null) {
|
||||
|
@ -64,18 +52,12 @@ public class PrintUtil {
|
|||
* The interface of the tree printer
|
||||
* This tree printer is borrowed from TECHIE DELIGHT
|
||||
* https://www.techiedelight.com/c-program-print-binary-tree/
|
||||
* @param root
|
||||
*/
|
||||
public static void printTree(TreeNode root) {
|
||||
printTree(root, null, false);
|
||||
}
|
||||
|
||||
/**
|
||||
* Print a binary tree
|
||||
* @param root
|
||||
* @param prev
|
||||
* @param isLeft
|
||||
*/
|
||||
/* Print a binary tree */
|
||||
public static void printTree(TreeNode root, Trunk prev, boolean isLeft) {
|
||||
if (root == null) {
|
||||
return;
|
||||
|
@ -107,10 +89,7 @@ public class PrintUtil {
|
|||
printTree(root.left, trunk, false);
|
||||
}
|
||||
|
||||
/**
|
||||
* Helper function to print branches of the binary tree
|
||||
* @param p
|
||||
*/
|
||||
/* Helper function to print branches of the binary tree */
|
||||
public static void showTrunks(Trunk p) {
|
||||
if (p == null) {
|
||||
return;
|
||||
|
@ -120,22 +99,14 @@ public class PrintUtil {
|
|||
System.out.print(p.str);
|
||||
}
|
||||
|
||||
/**
|
||||
* Print a hash map
|
||||
* @param <K>
|
||||
* @param <V>
|
||||
* @param map
|
||||
*/
|
||||
/* Print a hash map */
|
||||
public static <K, V> void printHashMap(Map<K, V> map) {
|
||||
for (Map.Entry <K, V> kv: map.entrySet()) {
|
||||
for (Map.Entry<K, V> kv : map.entrySet()) {
|
||||
System.out.println(kv.getKey() + " -> " + kv.getValue());
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Print a heap (PriorityQueue)
|
||||
* @param queue
|
||||
*/
|
||||
/* Print a heap (PriorityQueue) */
|
||||
public static void printHeap(Queue<Integer> queue) {
|
||||
List<Integer> list = new ArrayList<>(queue);
|
||||
System.out.print("堆的数组表示:");
|
||||
|
|
|
@ -8,9 +8,7 @@ package include;
|
|||
|
||||
import java.util.*;
|
||||
|
||||
/**
|
||||
* Definition for a binary tree node.
|
||||
*/
|
||||
/* Definition for a binary tree node. */
|
||||
public class TreeNode {
|
||||
public int val; // 节点值
|
||||
public int height; // 节点高度
|
||||
|
@ -21,11 +19,7 @@ public class TreeNode {
|
|||
val = x;
|
||||
}
|
||||
|
||||
/**
|
||||
* Generate a binary tree given an array
|
||||
* @param list
|
||||
* @return
|
||||
*/
|
||||
/* Generate a binary tree given an array */
|
||||
public static TreeNode listToTree(List<Integer> list) {
|
||||
int size = list.size();
|
||||
if (size == 0)
|
||||
|
@ -34,14 +28,16 @@ public class TreeNode {
|
|||
TreeNode root = new TreeNode(list.get(0));
|
||||
Queue<TreeNode> queue = new LinkedList<>() {{ add(root); }};
|
||||
int i = 0;
|
||||
while(!queue.isEmpty()) {
|
||||
while (!queue.isEmpty()) {
|
||||
TreeNode node = queue.poll();
|
||||
if (++i >= size) break;
|
||||
if (++i >= size)
|
||||
break;
|
||||
if (list.get(i) != null) {
|
||||
node.left = new TreeNode(list.get(i));
|
||||
queue.add(node.left);
|
||||
}
|
||||
if (++i >= size) break;
|
||||
if (++i >= size)
|
||||
break;
|
||||
if (list.get(i) != null) {
|
||||
node.right = new TreeNode(list.get(i));
|
||||
queue.add(node.right);
|
||||
|
@ -50,23 +46,19 @@ public class TreeNode {
|
|||
return root;
|
||||
}
|
||||
|
||||
/**
|
||||
* Serialize a binary tree to a list
|
||||
* @param root
|
||||
* @return
|
||||
*/
|
||||
/* Serialize a binary tree to a list */
|
||||
public static List<Integer> treeToList(TreeNode root) {
|
||||
List<Integer> list = new ArrayList<>();
|
||||
if(root == null) return list;
|
||||
if (root == null)
|
||||
return list;
|
||||
Queue<TreeNode> queue = new LinkedList<>() {{ add(root); }};
|
||||
while(!queue.isEmpty()) {
|
||||
while (!queue.isEmpty()) {
|
||||
TreeNode node = queue.poll();
|
||||
if(node != null) {
|
||||
if (node != null) {
|
||||
list.add(node.val);
|
||||
queue.add(node.left);
|
||||
queue.add(node.right);
|
||||
}
|
||||
else {
|
||||
} else {
|
||||
list.add(null);
|
||||
}
|
||||
}
|
||||
|
|
|
@ -11,6 +11,7 @@ import java.util.*;
|
|||
/* 顶点类 */
|
||||
public class Vertex {
|
||||
public int val;
|
||||
|
||||
public Vertex(int val) {
|
||||
this.val = val;
|
||||
}
|
||||
|
|
2
codes/python/.gitignore
vendored
2
codes/python/.gitignore
vendored
|
@ -1,3 +1 @@
|
|||
__pycache__
|
||||
|
||||
test_all.sh
|
||||
|
|
Loading…
Reference in a new issue