[LeetCode] Design HashMap 设计HashMap

 

Design a HashMap without using any built-in hash table libraries.html

To be specific, your design should include these functions:数组

  • put(key, value) : Insert a (key, value) pair into the HashMap. If the value already exists in the HashMap, update the value.
  • get(key): Returns the value to which the specified key is mapped, or -1 if this map contains no mapping for the key.
  • remove(key) : Remove the mapping for the value key if this map contains the mapping for the key.


Example:数据结构

MyHashMap hashMap = new MyHashMap();
hashMap.put(1, 1);          
hashMap.put(2, 2);         
hashMap.get(1);            // returns 1
hashMap.get(3);            // returns -1 (not found)
hashMap.put(2, 1);          // update the existing value
hashMap.get(2);            // returns 1 
hashMap.remove(2);          // remove the mapping for 2
hashMap.get(2);            // returns -1 (not found) 


Note:app

    • All keys and values will be in the range of [0, 1000000].
    • The number of operations will be in the range of [1, 10000].
    • Please do not use the built-in HashMap library.

 

这道题让咱们设计一个HashMap的数据结构,不能使用自带的哈希表,跟以前那道Design HashSet很相似,以前那道的两种解法在这里也是行得通的,既然题目中说了数字的范围不会超过1000000,那么咱们就申请这么大空间的数组,只需将数组的初始化值改成-1便可。空间足够大了,咱们就能够直接创建映射,移除时就将映射值重置为-1,因为默认值是-1,因此获取映射值就能够直接去,参见代码以下:post

 

解法一:优化

class MyHashMap {
public:
    /** Initialize your data structure here. */
    MyHashMap() {
        data.resize(1000000, -1);
    }
    
    /** value will always be non-negative. */
    void put(int key, int value) {
        data[key] = value;
    }
    
    /** Returns the value to which the specified key is mapped, or -1 if this map contains no mapping for the key */
    int get(int key) {
        return data[key];
    }
    
    /** Removes the mapping of the specified value key if this map contains a mapping for the key */
    void remove(int key) {
        data[key] = -1;
    }

private:
    vector<int> data;
};

 

咱们能够来适度的优化一下空间复杂度,因为存入HashMap的映射对儿也许不会跨度很大,那么直接就申请长度为1000000的数组可能会有些浪费,那么咱们其实可使用1000个长度为1000的数组来代替,那么就要用个二维数组啦,实际上开始咱们只申请了1000个空数组,对于每一个要处理的元素,咱们首先对1000取余,获得的值就看成哈希值,对应咱们申请的那1000个空数组的位置,在创建映射时,一旦计算出了哈希值,咱们将对应的空数组resize为长度1000,而后根据哈希值和key/1000来肯定具体的加入映射值的位置。获取映射值时,计算出哈希值,若对应的数组不为空,直接返回对应的位置上的值。移除映射值同样的,先计算出哈希值,若是对应的数组不为空的话,找到对应的位置并重置为-1。参见代码以下:ui

 

解法二:this

class MyHashMap {
public:
    /** Initialize your data structure here. */
    MyHashMap() {
        data.resize(1000, vector<int>());
    }
    
    /** value will always be non-negative. */
    void put(int key, int value) {
        int hashKey = key % 1000;
        if (data[hashKey].empty()) {
            data[hashKey].resize(1000, -1);
        } 
        data[hashKey][key / 1000] = value;
    }
    
    /** Returns the value to which the specified key is mapped, or -1 if this map contains no mapping for the key */
    int get(int key) {
        int hashKey = key % 1000;
        if (!data[hashKey].empty()) {
            return data[hashKey][key / 1000];
        } 
        return -1;
    }
    
    /** Removes the mapping of the specified value key if this map contains a mapping for the key */
    void remove(int key) {
        int hashKey = key % 1000;
        if (!data[hashKey].empty()) {
            data[hashKey][key / 1000] = -1;
        } 
    }

private:
    vector<vector<int>> data;
};

 

相似题目:url

Design HashSetspa

 

参考资料:

https://leetcode.com/problems/design-hashmap

https://leetcode.com/problems/design-hashmap/discuss/152746/Java-Solution

https://leetcode.com/problems/design-hashmap/discuss/184764/Easy-C%2B%2B-Solution-beats-98.01(52-msec)-using-array-of-vectors

 

LeetCode All in One 题目讲解汇总(持续更新中...)

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