mirror of
https://github.com/krahets/hello-algo.git
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feat: Traditional Chinese version (#1163)
* First commit * Update mkdocs.yml * Translate all the docs to traditional Chinese * Translate the code files. * Translate the docker file * Fix mkdocs.yml * Translate all the figures from SC to TC * 二叉搜尋樹 -> 二元搜尋樹 * Update terminology. * Update terminology * 构造函数/构造方法 -> 建構子 异或 -> 互斥或 * 擴充套件 -> 擴展 * constant - 常量 - 常數 * 類 -> 類別 * AVL -> AVL 樹 * 數組 -> 陣列 * 係統 -> 系統 斐波那契數列 -> 費波那契數列 運算元量 -> 運算量 引數 -> 參數 * 聯絡 -> 關聯 * 麵試 -> 面試 * 面向物件 -> 物件導向 歸併排序 -> 合併排序 范式 -> 範式 * Fix 算法 -> 演算法 * 錶示 -> 表示 反碼 -> 一補數 補碼 -> 二補數 列列尾部 -> 佇列尾部 區域性性 -> 區域性 一摞 -> 一疊 * Synchronize with main branch * 賬號 -> 帳號 推匯 -> 推導 * Sync with main branch * First commit * Update mkdocs.yml * Translate all the docs to traditional Chinese * Translate the code files. * Translate the docker file * Fix mkdocs.yml * Translate all the figures from SC to TC * 二叉搜尋樹 -> 二元搜尋樹 * Update terminology * 构造函数/构造方法 -> 建構子 异或 -> 互斥或 * 擴充套件 -> 擴展 * constant - 常量 - 常數 * 類 -> 類別 * AVL -> AVL 樹 * 數組 -> 陣列 * 係統 -> 系統 斐波那契數列 -> 費波那契數列 運算元量 -> 運算量 引數 -> 參數 * 聯絡 -> 關聯 * 麵試 -> 面試 * 面向物件 -> 物件導向 歸併排序 -> 合併排序 范式 -> 範式 * Fix 算法 -> 演算法 * 錶示 -> 表示 反碼 -> 一補數 補碼 -> 二補數 列列尾部 -> 佇列尾部 區域性性 -> 區域性 一摞 -> 一疊 * Synchronize with main branch * 賬號 -> 帳號 推匯 -> 推導 * Sync with main branch * Update terminology.md * 操作数量(num. of operations)-> 操作數量 * 字首和->前綴和 * Update figures * 歸 -> 迴 記憶體洩漏 -> 記憶體流失 * Fix the bug of the file filter * 支援 -> 支持 Add zh-Hant/README.md * Add the zh-Hant chapter covers. Bug fixes. * 外掛 -> 擴充功能 * Add the landing page for zh-Hant version * Unify the font of the chapter covers for the zh, en, and zh-Hant version * Move zh-Hant/ to zh-hant/ * Translate terminology.md to traditional Chinese
This commit is contained in:
141
zh-hant/codes/java/chapter_hashing/array_hash_map.java
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141
zh-hant/codes/java/chapter_hashing/array_hash_map.java
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@@ -0,0 +1,141 @@
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/**
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* File: array_hash_map.java
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* Created Time: 2022-12-04
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* Author: krahets (krahets@163.com)
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*/
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package chapter_hashing;
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import java.util.*;
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/* 鍵值對 */
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class Pair {
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public int key;
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public String val;
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public Pair(int key, String val) {
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this.key = key;
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this.val = val;
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}
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}
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/* 基於陣列實現的雜湊表 */
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class ArrayHashMap {
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private List<Pair> buckets;
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public ArrayHashMap() {
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// 初始化陣列,包含 100 個桶
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buckets = new ArrayList<>();
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for (int i = 0; i < 100; i++) {
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buckets.add(null);
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}
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}
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/* 雜湊函式 */
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private int hashFunc(int key) {
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int index = key % 100;
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return index;
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}
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/* 查詢操作 */
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public String get(int key) {
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int index = hashFunc(key);
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Pair pair = buckets.get(index);
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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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/* 新增操作 */
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public void put(int key, String val) {
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Pair pair = new Pair(key, val);
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int index = hashFunc(key);
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buckets.set(index, pair);
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}
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/* 刪除操作 */
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public void remove(int key) {
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int index = hashFunc(key);
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// 置為 null ,代表刪除
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buckets.set(index, null);
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}
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/* 獲取所有鍵值對 */
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public List<Pair> pairSet() {
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List<Pair> pairSet = new ArrayList<>();
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for (Pair pair : buckets) {
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if (pair != null)
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pairSet.add(pair);
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}
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return pairSet;
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}
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/* 獲取所有鍵 */
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public List<Integer> keySet() {
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List<Integer> keySet = new ArrayList<>();
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for (Pair pair : buckets) {
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if (pair != null)
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keySet.add(pair.key);
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}
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return keySet;
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}
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/* 獲取所有值 */
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public List<String> valueSet() {
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List<String> valueSet = new ArrayList<>();
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for (Pair pair : buckets) {
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if (pair != null)
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valueSet.add(pair.val);
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}
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return valueSet;
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}
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/* 列印雜湊表 */
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public void print() {
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for (Pair kv : pairSet()) {
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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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/* 初始化雜湊表 */
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ArrayHashMap map = new ArrayHashMap();
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/* 新增操作 */
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// 在雜湊表中新增鍵值對 (key, value)
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map.put(12836, "小哈");
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map.put(15937, "小囉");
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map.put(16750, "小算");
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map.put(13276, "小法");
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map.put(10583, "小鴨");
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System.out.println("\n新增完成後,雜湊表為\nKey -> Value");
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map.print();
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/* 查詢操作 */
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// 向雜湊表中輸入鍵 key ,得到值 value
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String name = map.get(15937);
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System.out.println("\n輸入學號 15937 ,查詢到姓名 " + name);
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/* 刪除操作 */
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// 在雜湊表中刪除鍵值對 (key, value)
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map.remove(10583);
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System.out.println("\n刪除 10583 後,雜湊表為\nKey -> Value");
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map.print();
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/* 走訪雜湊表 */
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System.out.println("\n走訪鍵值對 Key->Value");
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for (Pair kv : map.pairSet()) {
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System.out.println(kv.key + " -> " + kv.val);
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}
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System.out.println("\n單獨走訪鍵 Key");
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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單獨走訪值 Value");
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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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}
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38
zh-hant/codes/java/chapter_hashing/built_in_hash.java
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38
zh-hant/codes/java/chapter_hashing/built_in_hash.java
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/**
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* File: built_in_hash.java
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* Created Time: 2023-06-21
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* Author: krahets (krahets@163.com)
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*/
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package chapter_hashing;
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import utils.*;
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import java.util.*;
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public class built_in_hash {
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public static void main(String[] args) {
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int num = 3;
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int hashNum = Integer.hashCode(num);
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System.out.println("整數 " + num + " 的雜湊值為 " + hashNum);
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boolean bol = true;
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int hashBol = Boolean.hashCode(bol);
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System.out.println("布林量 " + bol + " 的雜湊值為 " + hashBol);
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double dec = 3.14159;
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int hashDec = Double.hashCode(dec);
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System.out.println("小數 " + dec + " 的雜湊值為 " + hashDec);
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String str = "Hello 演算法";
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int hashStr = str.hashCode();
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System.out.println("字串 " + str + " 的雜湊值為 " + hashStr);
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Object[] arr = { 12836, "小哈" };
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int hashTup = Arrays.hashCode(arr);
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System.out.println("陣列 " + Arrays.toString(arr) + " 的雜湊值為 " + hashTup);
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ListNode obj = new ListNode(0);
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int hashObj = obj.hashCode();
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System.out.println("節點物件 " + obj + " 的雜湊值為 " + hashObj);
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}
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}
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52
zh-hant/codes/java/chapter_hashing/hash_map.java
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52
zh-hant/codes/java/chapter_hashing/hash_map.java
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@@ -0,0 +1,52 @@
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/**
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* File: hash_map.java
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* Created Time: 2022-12-04
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* Author: krahets (krahets@163.com)
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*/
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package chapter_hashing;
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import java.util.*;
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import utils.*;
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public class hash_map {
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public static void main(String[] args) {
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/* 初始化雜湊表 */
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Map<Integer, String> map = new HashMap<>();
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/* 新增操作 */
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// 在雜湊表中新增鍵值對 (key, value)
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map.put(12836, "小哈");
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map.put(15937, "小囉");
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map.put(16750, "小算");
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map.put(13276, "小法");
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map.put(10583, "小鴨");
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System.out.println("\n新增完成後,雜湊表為\nKey -> Value");
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PrintUtil.printHashMap(map);
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/* 查詢操作 */
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// 向雜湊表中輸入鍵 key ,得到值 value
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String name = map.get(15937);
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System.out.println("\n輸入學號 15937 ,查詢到姓名 " + name);
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/* 刪除操作 */
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// 在雜湊表中刪除鍵值對 (key, value)
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map.remove(10583);
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System.out.println("\n刪除 10583 後,雜湊表為\nKey -> Value");
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PrintUtil.printHashMap(map);
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/* 走訪雜湊表 */
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System.out.println("\n走訪鍵值對 Key->Value");
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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單獨走訪鍵 Key");
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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單獨走訪值 Value");
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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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}
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148
zh-hant/codes/java/chapter_hashing/hash_map_chaining.java
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148
zh-hant/codes/java/chapter_hashing/hash_map_chaining.java
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@@ -0,0 +1,148 @@
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/**
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* File: hash_map_chaining.java
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* Created Time: 2023-06-13
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* Author: krahets (krahets@163.com)
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*/
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package chapter_hashing;
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import java.util.ArrayList;
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import java.util.List;
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/* 鏈式位址雜湊表 */
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class HashMapChaining {
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int size; // 鍵值對數量
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int capacity; // 雜湊表容量
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double loadThres; // 觸發擴容的負載因子閾值
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int extendRatio; // 擴容倍數
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List<List<Pair>> buckets; // 桶陣列
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/* 建構子 */
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public HashMapChaining() {
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size = 0;
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capacity = 4;
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loadThres = 2.0 / 3.0;
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extendRatio = 2;
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buckets = new ArrayList<>(capacity);
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for (int i = 0; i < capacity; i++) {
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buckets.add(new ArrayList<>());
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}
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}
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/* 雜湊函式 */
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int hashFunc(int key) {
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return key % capacity;
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}
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/* 負載因子 */
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double loadFactor() {
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return (double) size / capacity;
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}
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/* 查詢操作 */
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String get(int key) {
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int index = hashFunc(key);
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List<Pair> bucket = buckets.get(index);
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// 走訪桶,若找到 key ,則返回對應 val
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for (Pair pair : bucket) {
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if (pair.key == key) {
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return pair.val;
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}
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}
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// 若未找到 key ,則返回 null
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return null;
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}
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/* 新增操作 */
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void put(int key, String val) {
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// 當負載因子超過閾值時,執行擴容
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if (loadFactor() > loadThres) {
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extend();
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}
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int index = hashFunc(key);
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List<Pair> bucket = buckets.get(index);
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// 走訪桶,若遇到指定 key ,則更新對應 val 並返回
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for (Pair pair : bucket) {
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if (pair.key == key) {
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pair.val = val;
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return;
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}
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}
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// 若無該 key ,則將鍵值對新增至尾部
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Pair pair = new Pair(key, val);
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bucket.add(pair);
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size++;
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}
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/* 刪除操作 */
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void remove(int key) {
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int index = hashFunc(key);
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List<Pair> bucket = buckets.get(index);
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// 走訪桶,從中刪除鍵值對
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for (Pair pair : bucket) {
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if (pair.key == key) {
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bucket.remove(pair);
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size--;
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break;
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}
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}
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}
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/* 擴容雜湊表 */
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void extend() {
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// 暫存原雜湊表
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List<List<Pair>> bucketsTmp = buckets;
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// 初始化擴容後的新雜湊表
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capacity *= extendRatio;
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buckets = new ArrayList<>(capacity);
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for (int i = 0; i < capacity; i++) {
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buckets.add(new ArrayList<>());
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}
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size = 0;
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// 將鍵值對從原雜湊表搬運至新雜湊表
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for (List<Pair> bucket : bucketsTmp) {
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for (Pair pair : bucket) {
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put(pair.key, pair.val);
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}
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}
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}
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/* 列印雜湊表 */
|
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void print() {
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for (List<Pair> bucket : buckets) {
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List<String> res = new ArrayList<>();
|
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for (Pair pair : bucket) {
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res.add(pair.key + " -> " + pair.val);
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}
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System.out.println(res);
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}
|
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}
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}
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public class hash_map_chaining {
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public static void main(String[] args) {
|
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/* 初始化雜湊表 */
|
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HashMapChaining map = new HashMapChaining();
|
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|
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/* 新增操作 */
|
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// 在雜湊表中新增鍵值對 (key, value)
|
||||
map.put(12836, "小哈");
|
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map.put(15937, "小囉");
|
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map.put(16750, "小算");
|
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map.put(13276, "小法");
|
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map.put(10583, "小鴨");
|
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System.out.println("\n新增完成後,雜湊表為\nKey -> Value");
|
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map.print();
|
||||
|
||||
/* 查詢操作 */
|
||||
// 向雜湊表中輸入鍵 key ,得到值 value
|
||||
String name = map.get(13276);
|
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System.out.println("\n輸入學號 13276 ,查詢到姓名 " + name);
|
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|
||||
/* 刪除操作 */
|
||||
// 在雜湊表中刪除鍵值對 (key, value)
|
||||
map.remove(12836);
|
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System.out.println("\n刪除 12836 後,雜湊表為\nKey -> Value");
|
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map.print();
|
||||
}
|
||||
}
|
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158
zh-hant/codes/java/chapter_hashing/hash_map_open_addressing.java
Normal file
158
zh-hant/codes/java/chapter_hashing/hash_map_open_addressing.java
Normal file
@@ -0,0 +1,158 @@
|
||||
/**
|
||||
* File: hash_map_open_addressing.java
|
||||
* Created Time: 2023-06-13
|
||||
* Author: krahets (krahets@163.com)
|
||||
*/
|
||||
|
||||
package chapter_hashing;
|
||||
|
||||
/* 開放定址雜湊表 */
|
||||
class HashMapOpenAddressing {
|
||||
private int size; // 鍵值對數量
|
||||
private int capacity = 4; // 雜湊表容量
|
||||
private final double loadThres = 2.0 / 3.0; // 觸發擴容的負載因子閾值
|
||||
private final int extendRatio = 2; // 擴容倍數
|
||||
private Pair[] buckets; // 桶陣列
|
||||
private final Pair TOMBSTONE = new Pair(-1, "-1"); // 刪除標記
|
||||
|
||||
/* 建構子 */
|
||||
public HashMapOpenAddressing() {
|
||||
size = 0;
|
||||
buckets = new Pair[capacity];
|
||||
}
|
||||
|
||||
/* 雜湊函式 */
|
||||
private int hashFunc(int key) {
|
||||
return key % capacity;
|
||||
}
|
||||
|
||||
/* 負載因子 */
|
||||
private double loadFactor() {
|
||||
return (double) size / capacity;
|
||||
}
|
||||
|
||||
/* 搜尋 key 對應的桶索引 */
|
||||
private int findBucket(int key) {
|
||||
int index = hashFunc(key);
|
||||
int firstTombstone = -1;
|
||||
// 線性探查,當遇到空桶時跳出
|
||||
while (buckets[index] != null) {
|
||||
// 若遇到 key ,返回對應的桶索引
|
||||
if (buckets[index].key == key) {
|
||||
// 若之前遇到了刪除標記,則將鍵值對移動至該索引處
|
||||
if (firstTombstone != -1) {
|
||||
buckets[firstTombstone] = buckets[index];
|
||||
buckets[index] = TOMBSTONE;
|
||||
return firstTombstone; // 返回移動後的桶索引
|
||||
}
|
||||
return index; // 返回桶索引
|
||||
}
|
||||
// 記錄遇到的首個刪除標記
|
||||
if (firstTombstone == -1 && buckets[index] == TOMBSTONE) {
|
||||
firstTombstone = index;
|
||||
}
|
||||
// 計算桶索引,越過尾部則返回頭部
|
||||
index = (index + 1) % capacity;
|
||||
}
|
||||
// 若 key 不存在,則返回新增點的索引
|
||||
return firstTombstone == -1 ? index : firstTombstone;
|
||||
}
|
||||
|
||||
/* 查詢操作 */
|
||||
public String get(int key) {
|
||||
// 搜尋 key 對應的桶索引
|
||||
int index = findBucket(key);
|
||||
// 若找到鍵值對,則返回對應 val
|
||||
if (buckets[index] != null && buckets[index] != TOMBSTONE) {
|
||||
return buckets[index].val;
|
||||
}
|
||||
// 若鍵值對不存在,則返回 null
|
||||
return null;
|
||||
}
|
||||
|
||||
/* 新增操作 */
|
||||
public void put(int key, String val) {
|
||||
// 當負載因子超過閾值時,執行擴容
|
||||
if (loadFactor() > loadThres) {
|
||||
extend();
|
||||
}
|
||||
// 搜尋 key 對應的桶索引
|
||||
int index = findBucket(key);
|
||||
// 若找到鍵值對,則覆蓋 val 並返回
|
||||
if (buckets[index] != null && buckets[index] != TOMBSTONE) {
|
||||
buckets[index].val = val;
|
||||
return;
|
||||
}
|
||||
// 若鍵值對不存在,則新增該鍵值對
|
||||
buckets[index] = new Pair(key, val);
|
||||
size++;
|
||||
}
|
||||
|
||||
/* 刪除操作 */
|
||||
public void remove(int key) {
|
||||
// 搜尋 key 對應的桶索引
|
||||
int index = findBucket(key);
|
||||
// 若找到鍵值對,則用刪除標記覆蓋它
|
||||
if (buckets[index] != null && buckets[index] != TOMBSTONE) {
|
||||
buckets[index] = TOMBSTONE;
|
||||
size--;
|
||||
}
|
||||
}
|
||||
|
||||
/* 擴容雜湊表 */
|
||||
private void extend() {
|
||||
// 暫存原雜湊表
|
||||
Pair[] bucketsTmp = buckets;
|
||||
// 初始化擴容後的新雜湊表
|
||||
capacity *= extendRatio;
|
||||
buckets = new Pair[capacity];
|
||||
size = 0;
|
||||
// 將鍵值對從原雜湊表搬運至新雜湊表
|
||||
for (Pair pair : bucketsTmp) {
|
||||
if (pair != null && pair != TOMBSTONE) {
|
||||
put(pair.key, pair.val);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* 列印雜湊表 */
|
||||
public void print() {
|
||||
for (Pair pair : buckets) {
|
||||
if (pair == null) {
|
||||
System.out.println("null");
|
||||
} else if (pair == TOMBSTONE) {
|
||||
System.out.println("TOMBSTONE");
|
||||
} else {
|
||||
System.out.println(pair.key + " -> " + pair.val);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public class hash_map_open_addressing {
|
||||
public static void main(String[] args) {
|
||||
// 初始化雜湊表
|
||||
HashMapOpenAddressing hashmap = new HashMapOpenAddressing();
|
||||
|
||||
// 新增操作
|
||||
// 在雜湊表中新增鍵值對 (key, val)
|
||||
hashmap.put(12836, "小哈");
|
||||
hashmap.put(15937, "小囉");
|
||||
hashmap.put(16750, "小算");
|
||||
hashmap.put(13276, "小法");
|
||||
hashmap.put(10583, "小鴨");
|
||||
System.out.println("\n新增完成後,雜湊表為\nKey -> Value");
|
||||
hashmap.print();
|
||||
|
||||
// 查詢操作
|
||||
// 向雜湊表中輸入鍵 key ,得到值 val
|
||||
String name = hashmap.get(13276);
|
||||
System.out.println("\n輸入學號 13276 ,查詢到姓名 " + name);
|
||||
|
||||
// 刪除操作
|
||||
// 在雜湊表中刪除鍵值對 (key, val)
|
||||
hashmap.remove(16750);
|
||||
System.out.println("\n刪除 16750 後,雜湊表為\nKey -> Value");
|
||||
hashmap.print();
|
||||
}
|
||||
}
|
||||
65
zh-hant/codes/java/chapter_hashing/simple_hash.java
Normal file
65
zh-hant/codes/java/chapter_hashing/simple_hash.java
Normal file
@@ -0,0 +1,65 @@
|
||||
/**
|
||||
* File: simple_hash.java
|
||||
* Created Time: 2023-06-21
|
||||
* Author: krahets (krahets@163.com)
|
||||
*/
|
||||
|
||||
package chapter_hashing;
|
||||
|
||||
public class simple_hash {
|
||||
/* 加法雜湊 */
|
||||
static int addHash(String key) {
|
||||
long hash = 0;
|
||||
final int MODULUS = 1000000007;
|
||||
for (char c : key.toCharArray()) {
|
||||
hash = (hash + (int) c) % MODULUS;
|
||||
}
|
||||
return (int) hash;
|
||||
}
|
||||
|
||||
/* 乘法雜湊 */
|
||||
static int mulHash(String key) {
|
||||
long hash = 0;
|
||||
final int MODULUS = 1000000007;
|
||||
for (char c : key.toCharArray()) {
|
||||
hash = (31 * hash + (int) c) % MODULUS;
|
||||
}
|
||||
return (int) hash;
|
||||
}
|
||||
|
||||
/* 互斥或雜湊 */
|
||||
static int xorHash(String key) {
|
||||
int hash = 0;
|
||||
final int MODULUS = 1000000007;
|
||||
for (char c : key.toCharArray()) {
|
||||
hash ^= (int) c;
|
||||
}
|
||||
return hash & MODULUS;
|
||||
}
|
||||
|
||||
/* 旋轉雜湊 */
|
||||
static int rotHash(String key) {
|
||||
long hash = 0;
|
||||
final int MODULUS = 1000000007;
|
||||
for (char c : key.toCharArray()) {
|
||||
hash = ((hash << 4) ^ (hash >> 28) ^ (int) c) % MODULUS;
|
||||
}
|
||||
return (int) hash;
|
||||
}
|
||||
|
||||
public static void main(String[] args) {
|
||||
String key = "Hello 演算法";
|
||||
|
||||
int hash = addHash(key);
|
||||
System.out.println("加法雜湊值為 " + hash);
|
||||
|
||||
hash = mulHash(key);
|
||||
System.out.println("乘法雜湊值為 " + hash);
|
||||
|
||||
hash = xorHash(key);
|
||||
System.out.println("互斥或雜湊值為 " + hash);
|
||||
|
||||
hash = rotHash(key);
|
||||
System.out.println("旋轉雜湊值為 " + hash);
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user