381. Insert Delete GetRandom O(1) - Duplicates allowed
Description
RandomizedCollection is a data structure that contains a collection of numbers, possibly duplicates (i.e., a multiset). It should support inserting and removing specific elements and also reporting a random element.
Implement the RandomizedCollection class:
RandomizedCollection()Initializes the emptyRandomizedCollectionobject.bool insert(int val)Inserts an itemvalinto the multiset, even if the item is already present. Returnstrueif the item is not present,falseotherwise.bool remove(int val)Removes an itemvalfrom the multiset if present. Returnstrueif the item is present,falseotherwise. Note that ifvalhas multiple occurrences in the multiset, we only remove one of them.int getRandom()Returns a random element from the current multiset of elements. The probability of each element being returned is linearly related to the number of the same values the multiset contains.
You must implement the functions of the class such that each function works on average O(1) time complexity.
Note: The test cases are generated such that getRandom will only be called if there is at least one item in the RandomizedCollection.
Example 1:
Input
["RandomizedCollection", "insert", "insert", "insert", "getRandom", "remove", "getRandom"]
[[], [1], [1], [2], [], [1], []]
Output
[null, true, false, true, 2, true, 1]
Explanation
RandomizedCollection randomizedCollection = new RandomizedCollection();
randomizedCollection.insert(1); // return true since the collection does not contain 1.
// Inserts 1 into the collection.
randomizedCollection.insert(1); // return false since the collection contains 1.
// Inserts another 1 into the collection. Collection now contains [1,1].
randomizedCollection.insert(2); // return true since the collection does not contain 2.
// Inserts 2 into the collection. Collection now contains [1,1,2].
randomizedCollection.getRandom(); // getRandom should:
// - return 1 with probability 2/3, or
// - return 2 with probability 1/3.
randomizedCollection.remove(1); // return true since the collection contains 1.
// Removes 1 from the collection. Collection now contains [1,2].
randomizedCollection.getRandom(); // getRandom should return 1 or 2, both equally likely.
Constraints:
-231 <= val <= 231 - 1- At most
2 * 105calls in total will be made toinsert,remove, andgetRandom. - There will be at least one element in the data structure when
getRandomis called.
Solutions
Solution: Hash Map
- Time complexity: O(1)
- Space complexity: O(n)
JavaScript
js
const RandomizedCollection = function () {
this.collectionMap = new Map();
this.collects = [];
};
/**
* @param {number} val
* @return {boolean}
*/
RandomizedCollection.prototype.insert = function (val) {
const indexes = this.collectionMap.get(val) ?? new Set();
const isPresent = indexes.size > 0;
indexes.add(this.collects.length);
this.collects.push(val);
if (!isPresent) {
this.collectionMap.set(val, indexes);
}
return !isPresent;
};
/**
* @param {number} val
* @return {boolean}
*/
RandomizedCollection.prototype.remove = function (val) {
const indexes = this.collectionMap.get(val);
if (!indexes || !indexes.size) return false;
const index = indexes.values().next().value;
indexes.delete(index);
if (index !== this.collects.length - 1) {
const lastIndex = this.collects.length - 1;
const last = this.collects[lastIndex];
const lastIndexes = this.collectionMap.get(last);
[this.collects[index], this.collects[lastIndex]] = [this.collects[lastIndex], this.collects[index]];
lastIndexes.add(index).delete(lastIndex);
}
this.collects.pop();
return true;
};
/**
* @return {number}
*/
RandomizedCollection.prototype.getRandom = function () {
const random = Math.floor(Math.random() * this.collects.length);
return this.collects[random];
};
/**
* Your RandomizedCollection object will be instantiated and called as such:
* var obj = new RandomizedCollection()
* var param_1 = obj.insert(val)
* var param_2 = obj.remove(val)
* var param_3 = obj.getRandom()
*/