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.
solution
Very similar to 380-insert-delete-getrandom-o(1), but we keep a set of all the indices where a value exists instead of just a single number.
Note that when we delete, we don’t care which one we delete, so an unordered set works perfectly fine here.
class RandomizedCollection:
def __init__(self):
self.a = []
self.idx = defaultdict(set)
def insert(self, val: int) -> bool:
self.idx[val].add(len(self.a))
self.a.append(val)
return len(self.idx[val]) == 1
def remove(self, val: int) -> bool:
if not self.idx[val]:
return False
to_remove, last = self.idx[val].pop(), self.a[-1]
# copy value at end into index that contains val
self.a[to_remove] = last
self.idx[last].add(to_remove)
self.idx[last].remove(len(self.a)-1)
self.a.pop()
return True
def getRandom(self) -> int:
return random.choice(self.a)