• 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();
    class RandomizedSet {
        List<Integer> set;
        /** Initialize your data structure here. */
        public RandomizedSet() {
            set = new ArrayList();
        }
        
        /** Inserts a value to the set. Returns true if the set did not already contain the specified element. */
        public boolean insert(int val) {
            if(set.contains(val)) return false;
            else{
            set.add(new Integer(val));
            return true; 
            }
        }
        
        /** Removes a value from the set. Returns true if the set contained the specified element. */
        public boolean remove(int val) {
            if(set.contains(val)) {
                set.remove(new Integer(val));
                return true;
            }
            else return false; 
        }
        
        /** Get a random element from the set. */
        public int getRandom() {
            Random r = new Random();
            return set.get(r.nextInt(set.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();
     */

    干?

    class RandomizedSet {
    
        Map<Integer, Integer> map = new HashMap<>();
        List<Integer> list = new ArrayList<>();
        Random rnd = new Random();
    
        public boolean insert(int val) {
            if(map.containsKey(val)) {
                return false;
            }
            
            map.put(val, list.size());
            list.add(val);
            return true;
        }
        
        public boolean remove(int val) {
            if(!map.containsKey(val)) {
                return false;
            }
            // Index of value(key) in map
            int idx = map.remove(val);
            //The last element.
            int last = list.remove(list.size() - 1);
            //If equal, means the last one accidently equals to what's going to be deleted.
            
            if(val != last) {
                //If not, reset the last element to the list as index = index of what's been deleted.
                list.set(idx, last);
                //Update the index of that element.
                map.put(last, idx);
            }
            return true;
        }
        
        public int getRandom() {
            return list.get(rnd.nextInt(list.size()));
        }
    }

     
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  • 原文地址:https://www.cnblogs.com/wentiliangkaihua/p/11865586.html
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