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https://github.com/krahets/hello-algo.git
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fix(csharp): Modify method name to PascalCase, simplify new expression (#840)
* Modify method name to PascalCase(array and linked list) * Modify method name to PascalCase(backtracking) * Modify method name to PascalCase(computational complexity) * Modify method name to PascalCase(divide and conquer) * Modify method name to PascalCase(dynamic programming) * Modify method name to PascalCase(graph) * Modify method name to PascalCase(greedy) * Modify method name to PascalCase(hashing) * Modify method name to PascalCase(heap) * Modify method name to PascalCase(searching) * Modify method name to PascalCase(sorting) * Modify method name to PascalCase(stack and queue) * Modify method name to PascalCase(tree) * local check
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@@ -10,10 +10,10 @@ namespace hello_algo.chapter_hashing;
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class HashMapOpenAddressing {
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private int size; // 键值对数量
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private int capacity = 4; // 哈希表容量
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private double loadThres = 2.0 / 3.0; // 触发扩容的负载因子阈值
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private int extendRatio = 2; // 扩容倍数
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private readonly double loadThres = 2.0 / 3.0; // 触发扩容的负载因子阈值
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private readonly int extendRatio = 2; // 扩容倍数
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private Pair[] buckets; // 桶数组
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private Pair TOMBSTONE = new Pair(-1, "-1"); // 删除标记
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private readonly Pair TOMBSTONE = new(-1, "-1"); // 删除标记
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/* 构造方法 */
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public HashMapOpenAddressing() {
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@@ -22,18 +22,18 @@ class HashMapOpenAddressing {
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}
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/* 哈希函数 */
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private int hashFunc(int key) {
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private int HashFunc(int key) {
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return key % capacity;
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}
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/* 负载因子 */
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private double loadFactor() {
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private double LoadFactor() {
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return (double)size / capacity;
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}
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/* 搜索 key 对应的桶索引 */
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private int findBucket(int key) {
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int index = hashFunc(key);
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private int FindBucket(int key) {
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int index = HashFunc(key);
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int firstTombstone = -1;
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// 线性探测,当遇到空桶时跳出
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while (buckets[index] != null) {
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@@ -59,9 +59,9 @@ class HashMapOpenAddressing {
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}
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/* 查询操作 */
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public string? get(int key) {
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public string? Get(int key) {
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// 搜索 key 对应的桶索引
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int index = findBucket(key);
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int index = FindBucket(key);
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// 若找到键值对,则返回对应 val
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if (buckets[index] != null && buckets[index] != TOMBSTONE) {
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return buckets[index].val;
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@@ -71,13 +71,13 @@ class HashMapOpenAddressing {
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}
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/* 添加操作 */
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public void put(int key, string val) {
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public void Put(int key, string val) {
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// 当负载因子超过阈值时,执行扩容
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if (loadFactor() > loadThres) {
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extend();
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if (LoadFactor() > loadThres) {
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Extend();
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}
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// 搜索 key 对应的桶索引
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int index = findBucket(key);
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int index = FindBucket(key);
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// 若找到键值对,则覆盖 val 并返回
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if (buckets[index] != null && buckets[index] != TOMBSTONE) {
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buckets[index].val = val;
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@@ -89,9 +89,9 @@ class HashMapOpenAddressing {
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}
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/* 删除操作 */
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public void remove(int key) {
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public void Remove(int key) {
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// 搜索 key 对应的桶索引
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int index = findBucket(key);
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int index = FindBucket(key);
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// 若找到键值对,则用删除标记覆盖它
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if (buckets[index] != null && buckets[index] != TOMBSTONE) {
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buckets[index] = TOMBSTONE;
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@@ -100,7 +100,7 @@ class HashMapOpenAddressing {
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}
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/* 扩容哈希表 */
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private void extend() {
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private void Extend() {
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// 暂存原哈希表
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Pair[] bucketsTmp = buckets;
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// 初始化扩容后的新哈希表
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@@ -110,13 +110,13 @@ class HashMapOpenAddressing {
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// 将键值对从原哈希表搬运至新哈希表
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foreach (Pair pair in bucketsTmp) {
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if (pair != null && pair != TOMBSTONE) {
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put(pair.key, pair.val);
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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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/* 打印哈希表 */
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public void print() {
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public void Print() {
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foreach (Pair pair in buckets) {
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if (pair == null) {
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Console.WriteLine("null");
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@@ -133,27 +133,27 @@ public class hash_map_open_addressing {
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[Test]
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public void Test() {
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/* 初始化哈希表 */
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HashMapOpenAddressing map = new HashMapOpenAddressing();
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HashMapOpenAddressing map = new();
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/* 添加操作 */
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// 在哈希表中添加键值对 (key, value)
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map.put(12836, "小哈");
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map.put(15937, "小啰");
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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, "小鸭");
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map.Put(12836, "小哈");
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map.Put(15937, "小啰");
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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, "小鸭");
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Console.WriteLine("\n添加完成后,哈希表为\nKey -> Value");
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map.print();
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map.Print();
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/* 查询操作 */
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// 向哈希表输入键 key ,得到值 value
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string name = map.get(13276);
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string? name = map.Get(13276);
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Console.WriteLine("\n输入学号 13276 ,查询到姓名 " + name);
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/* 删除操作 */
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// 在哈希表中删除键值对 (key, value)
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map.remove(16750);
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map.Remove(16750);
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Console.WriteLine("\n删除 16750 后,哈希表为\nKey -> Value");
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map.print();
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map.Print();
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}
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}
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