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[11/29] 380. Insert Delete GetRandom O(1)

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380. Insert Delete GetRandom O(1)

Medium

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Implement the RandomizedSet class:

RandomizedSet() Initializes the RandomizedSet object.
bool insert(int val) Inserts an item val into the set if not present. Returns true if the item was not present, false otherwise.
bool remove(int val) Removes an item val from the set if present. Returns true if the item was present, false otherwise.
int getRandom() Returns a random element from the current set of elements (it's guaranteed that at least one element exists when this method is called). Each element must have the same probability of being returned.

You must implement the functions of the class such that each function works in average O(1) time complexity.

Example 1:

Input
["RandomizedSet", "insert", "remove", "insert", "getRandom", "remove", "insert", "getRandom"]
[[], [1], [2], [2], [], [1], [2], []]
Output
[null, true, false, true, 2, true, false, 2]

Explanation
RandomizedSet randomizedSet = new RandomizedSet();
randomizedSet.insert(1); // Inserts 1 to the set. Returns true as 1 was inserted successfully.
randomizedSet.remove(2); // Returns false as 2 does not exist in the set.
randomizedSet.insert(2); // Inserts 2 to the set, returns true. Set now contains [1,2].
randomizedSet.getRandom(); // getRandom() should return either 1 or 2 randomly.
randomizedSet.remove(1); // Removes 1 from the set, returns true. Set now contains [2].
randomizedSet.insert(2); // 2 was already in the set, so return false.
randomizedSet.getRandom(); // Since 2 is the only number in the set, getRandom() will always return 2.

Constraints:

-231 <= val <= 231 - 1
At most 2 * 105 calls will be made to insert, remove, and getRandom.
There will be at least one element in the data structure when getRandom is called.

Accepted

584,547

Submissions

1,107,396

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링크

https://leetcode.com/problems/insert-delete-getrandom-o1/ 4883 회 연결

익명
작성일 2022.11.29 13:04

Runtime: 414 ms, faster than 94.61% of Python3 online submissions for Insert Delete GetRandom O(1).
Memory Usage: 61.7 MB, less than 14.96% of Python3 online submissions for Insert Delete GetRandom O(1).

import random
class RandomizedSet:

    def __init__(self):
        self.num_list = []
        self.num_map = {}
    def insert(self, val: int) -> bool:
        res = val not in self.num_map
        
        if val not in self.num_map:
            self.num_map[val] = len(self.num_list)
            self.num_list.append(val)
        
        return res

    def remove(self, val: int) -> bool:
        res = val in self.num_map
        if val in self.num_map :
            popidx = self.num_map[val]
            self.num_list[popidx] = self.num_list[-1]
            self.num_map[self.num_list[-1]] = popidx
            self.num_list.pop()
            del self.num_map[val]
        return res

    def getRandom(self) -> int:
        return random.choice(self.num_list)


# 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()

def __init__(self):
        self.num_list = []
        self.num_map = {}
    def insert(self, val: int) -> bool:
        res = val not in self.num_map
        
        if val not in self.num_map:
            self.num_map[val] = len(self.num_list)
            self.num_list.append(val)
        
        return res

def remove(self, val: int) -> bool:
        res = val in self.num_map
        if val in self.num_map :
            popidx = self.num_map[val]
            self.num_list[popidx] = self.num_list[-1]
            self.num_map[self.num_list[-1]] = popidx
            self.num_list.pop()
            del self.num_map[val]
        return res

def getRandom(self) -> int:
        return random.choice(self.num_list)

# 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()[/code]