381. Insert Delete GetRandom O(1) - Duplicates allowed
Design a data structure that supports all following operations in average O(1) time.
Note: Duplicate elements are allowed.
insert(val): Inserts an item val to the collection.
remove(val): Removes an item val from the collection if present.
getRandom: Returns a random element from current collection of elements. The probability of each element being returned is linearly related to the number of same value the collection contains.
Example:
// Init an empty collection.
RandomizedCollection collection = new RandomizedCollection();
// Inserts 1 to the collection. Returns true as the collection did not contain 1.
collection.insert(1);
// Inserts another 1 to the collection. Returns false as the collection contained 1. Collection now contains [1,1].
collection.insert(1);
// Inserts 2 to the collection, returns true. Collection now contains [1,1,2].
collection.insert(2);
// getRandom should return 1 with the probability 2/3, and returns 2 with the probability 1/3.
collection.getRandom();
// Removes 1 from the collection, returns true. Collection now contains [1,2].
collection.remove(1);
// getRandom should return 1 and 2 both equally likely.
collection.getRandom();
解法
用一个list和一个map,list中存放添加的元素列表,map中key为添加的元素的值,value为该元素在list中的位置set。每次添加元素时,更新set。每次删除元素时,如果不是list中的最后一个元素,最后一个元素占领该删除元素的位置。更新最后一个元素的set表,更新被删除元素的set表。
public class RandomizedCollection {
List<Integer> nums;
Map<Integer, Set<Integer>> loc;
Random random;
/**
* Initialize your data structure here.
*/
public RandomizedCollection() {
nums = new ArrayList<Integer>();
loc = new HashMap<Integer, Set<Integer>>();
random = new Random();
}
/**
* Inserts a value to the set. Returns true if the set did not already contain the specified element.
*/
public boolean insert(int val) {
boolean flag = loc.containsKey(val);
Set <Integer> position;
if (flag) {
position = loc.get(val);
} else {
position = new HashSet<>();
}
position.add(nums.size());
loc.put(val, position);
nums.add(val);
return !flag;
}
/**
* Removes a value from the set. Returns true if the set contained the specified element.
*/
public boolean remove(int val) {
boolean flag = loc.containsKey(val);
if (!flag) {
return false;
}
Set<Integer> position = loc.get(val);
int l = position.iterator().next();
position.remove(l);
if (l < nums.size() - 1) {
int lastnode = nums.get(nums.size() - 1);
nums.set(l, lastnode);
Set<Integer> lastPosition = loc.get(lastnode);
int p = nums.size() - 1;
lastPosition.remove(p);
lastPosition.add(l);
// loc.put(lastnode, lastPosition);
}
// position.remove(l);
if (position == null || position.size() == 0) {
loc.remove(val);
}
nums.remove(nums.size() - 1);
return flag;
}
/**
* Get a random element from the set.
*/
public int getRandom() {
return nums.get(random.nextInt(nums.size()));
}
}
/**
* Your RandomizedCollection object will be instantiated and called as such:
* RandomizedCollection obj = new RandomizedCollection();
* boolean param_1 = obj.insert(val);
* boolean param_2 = obj.remove(val);
* int param_3 = obj.getRandom();
*/

本文介绍了一种支持插入、删除和随机获取元素操作的数据结构,并且所有这些操作都能够在平均O(1)时间内完成。该数据结构允许元素重复,使用一个列表和一个映射来维护元素及其位置信息,确保了高效的操作执行。

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