Design a data structure that supports all following operations in average O(1) time.
insert(val): Inserts an item val to the set if not already present.
remove(val): Removes an item val from the set if present.
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();
Solution
Idea:
Store the elements in a vector in random order. So we can get a random element in O(1) time.
Use a hash table to store a mapping from value to index. So we can insert and delete an element in O(1) time on average.
class RandomizedSet {
public:
/** Initialize your data structure here. */
RandomizedSet() {
srand(time(nullptr));
}
/** Inserts a value to the set. Returns true if the set did not
* already contain the specified element.
*/
bool insert(int val) {
if(hash.count(val)) return false;
hash[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(!hash.count(val)) return false;
int idx = hash[val];
int last = nums.back();
// move the last element to the position of the removed element
// we only need to do so if the element to be removed is not the last element.
if(last != val){
nums[idx] = last;
hash[last] = idx;
}
hash.erase(val);
nums.pop_back();
return true;
}
/** Get a random element from the set. */
int getRandom() {
int k = rand() % nums.size();
return nums[k];
}
private:
unordered_map<int, int> hash;
vector<int> nums;
};
/**
* 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();
*/