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:

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// 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();

思路

利用hashtable,访问与删除平均都可以达到O(1);

利用vector记录,random访问平均是O(1),在头尾插入删除平均访问时间也是O(1);

vector在删除的时候,可以只删除最后一个元素,然后把该元素和待删除的元素位置对换即可。这样的时间复杂度也是O(1)。

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class RandomizedSet {
private:
unordered_map<int, int> map;
vector<int> values;
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(map.find(val) == map.end()){
map[val] = values.size();
values.push_back(val);
return true;
}
else{
return false;
}
}
/** Removes a value from the set. Returns true if the set contained the specified element. */
bool remove(int val) {
if(map.find(val) == map.end()){
return false;
}
else{
int index = map[val];
int lastele = values.back();
if(index == values.size() - 1){
map.erase(val);
values.pop_back();
}
else{
map.erase(val);
map[lastele] = index;
values[index] = lastele;
//map.erase(val);
values.pop_back();
}
return true;
}
}
/** Get a random element from the set. */
int getRandom() {
if(values.size() > 0){
int index = rand() % values.size();
int choose = values[index];
return choose;
}
else{
return -1;
}
}
};
/**
* 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();
*/