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  • 380. Insert Delete GetRandom O(1)

    Design a data structure that supports all following operations in average O(1) time.

    1. insert(val): Inserts an item val to the set if not already present.
    2. remove(val): Removes an item val from the set if present.
    3. getRandom: Returns a random element from current set of elements. Each element must have the same probability of being returned.

    Example:

    // Init an empty set.
    RandomizedSet randomSet = new RandomizedSet();
    
    // Inserts 1 to the set. Returns true as 1 was inserted successfully.
    randomSet.insert(1);
    
    // Returns false as 2 does not exist in the set.
    randomSet.remove(2);
    
    // Inserts 2 to the set, returns true. Set now contains [1,2].
    randomSet.insert(2);
    
    // getRandom should return either 1 or 2 randomly.
    randomSet.getRandom();
    
    // Removes 1 from the set, returns true. Set now contains [2].
    randomSet.remove(1);
    
    // 2 was already in the set, so return false.
    randomSet.insert(2);
    
    // Since 2 is the only number in the set, getRandom always return 2.
    randomSet.getRandom();
    
     Approach #1: C++.
    class RandomizedSet {
    public:
        /** Initialize your data structure here. */
        RandomizedSet() {
            
        }
        
        /** Inserts a value to the set. Returns true if the set did not already contain the specified element. */
        bool insert(int val) {
            if (m.count(val)) return false;
            m[val] = nums.size();
            nums.push_back(val);
            return true;
        }
        
        /** Removes a value from the set. Returns true if the set contained the specified element. */
        bool remove(int val) {
            if (!m.count(val)) return false;
            int last = nums.back();
            m[last] = m[val];
            nums[m[val]] = last;
            nums.pop_back();
            m.erase(val);
            return true;
        }
        
        /** Get a random element from the set. */
        int getRandom() {
            return nums[rand() % nums.size()];
        }
        
    private:
        vector<int> nums;
        unordered_map<int, int> m;
    };
    
    /**
     * Your RandomizedSet object will be instantiated and called as such:
     * RandomizedSet obj = new RandomizedSet();
     * bool param_1 = obj.insert(val);
     * bool param_2 = obj.remove(val);
     * int param_3 = obj.getRandom();
     */
    

      

    Approach #2: Java.

    class RandomizedSet {
        ArrayList<Integer> nums;
        HashMap<Integer, Integer> locs;
        java.util.Random rand = new java.util.Random();
    
        /** Initialize your data structure here. */
        public RandomizedSet() {
            nums = new ArrayList<Integer>();
            locs = new HashMap<Integer, Integer>();
        }
        
        /** Inserts a value to the set. Returns true if the set did not already contain the specified element. */
        public boolean insert(int val) {
            boolean contain = locs.containsKey(val);
            if (contain) return false;
            locs.put(val, nums.size());
            nums.add(val);
            return true;
        }
        
        /** Removes a value from the set. Returns true if the set contained the specified element. */
        public boolean remove(int val) {
            boolean contain = locs.containsKey(val);
            if (!contain) return false;
            int loc = locs.get(val);
            if (loc < nums.size() - 1) {
                int lastone = nums.get(nums.size() - 1);
                nums.set(loc, lastone);
                locs.put(lastone, loc);
            }
            locs.remove(val);
            nums.remove(nums.size() - 1);
            return true;
        }
        
        /** Get a random element from the set. */
        public int getRandom() {
            return nums.get(rand.nextInt(nums.size()));
        }
    }
    
    /**
     * Your RandomizedSet object will be instantiated and called as such:
     * RandomizedSet obj = new RandomizedSet();
     * boolean param_1 = obj.insert(val);
     * boolean param_2 = obj.remove(val);
     * int param_3 = obj.getRandom();
     */
    

      

    Approach #3: Python.

    import random
    
    class RandomizedSet(object):
    
        def __init__(self):
            """
            Initialize your data structure here.
            """
            self.nums, self.pos = [], {}
            
    
        def insert(self, val):
            """
            Inserts a value to the set. Returns true if the set did not already contain the specified element.
            :type val: int
            :rtype: bool
            """
            if val not in self.pos:
                self.nums.append(val)
                self.pos[val] = len(self.nums) - 1
                return True
            return False
    
        def remove(self, val):
            """
            Removes a value from the set. Returns true if the set contained the specified element.
            :type val: int
            :rtype: bool
            """
            if val in self.pos:
                idx, last = self.pos[val], self.nums[-1]
                self.nums[idx], self.pos[last] = last, idx
                self.nums.pop(); self.pos.pop(val, 0)
                return True
            return False
            
    
        def getRandom(self):
            """
            Get a random element from the set.
            :rtype: int
            """
            return self.nums[random.randint(0, len(self.nums) - 1)]
    
    
    # Your RandomizedSet object will be instantiated and called as such:
    # obj = RandomizedSet()
    # param_1 = obj.insert(val)
    # param_2 = obj.remove(val)
    # param_3 = obj.getRandom()
    

      

    Time SubmittedStatusRuntimeLanguage
    a few seconds ago Accepted 180 ms python
    6 minutes ago Accepted 130 ms java
    15 minutes ago Accepted 56 ms cpp
    永远渴望,大智若愚(stay hungry, stay foolish)
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  • 原文地址:https://www.cnblogs.com/h-hkai/p/9966267.html
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