Problem
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();
Solution
class RandomizedCollection {
List<Integer> list;
Map<Integer, Set<Integer>> map;
/** Initialize your data structure here. */
public RandomizedCollection() {
list = new ArrayList<>();
map = new HashMap<>();
}
/** Inserts a value to the collection. Returns true if the collection did not already contain the specified element. */
public boolean insert(int val) {
boolean notContain = !map.containsKey(val);
if (notContain) map.put(val, new HashSet<Integer>());
list.add(val);
map.get(val).add(list.size()-1);
return notContain;
}
/** Removes a value from the collection. Returns true if the collection contained the specified element. */
public boolean remove(int val) {
if (!map.containsKey(val)) return false;
if (!map.get(val).contains(list.size()-1)) {
int index = map.get(val).iterator().next();
int last = list.get(list.size()-1);
map.get(last).remove(list.size()-1);
map.get(last).add(index);
map.get(val).remove(index);
map.get(val).add(list.size()-1);
list.set(index, last);
//then the element would be 'last' in both index and list.size()-1
}
map.get(val).remove(list.size()-1);
if (map.get(val).isEmpty()) map.remove(val);
list.remove(list.size()-1);
return true;
}
/** Get a random element from the collection. */
public int getRandom() {
int min = 0, max = list.size();
int index = (int)(Math.random()*(max-min)+min);
return list.get(index);
}
}
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