Flatten nested list iterator
September 27, 2022
queue designProblem URL: Flatten nested list iterator
We will iterate over the nested list, and go through each element and add that to a queue. Then when we need to check the next, we can pop the value from the queue. For the hasNext, we can just check whether the queue is empty or not.
# """
# This is the interface that allows for creating nested lists.
# You should not implement it, or speculate about its implementation
# """
#class NestedInteger:
# def isInteger(self) -> bool:
# """
# @return True if this NestedInteger holds a single integer, rather than a nested list.
# """
#
# def getInteger(self) -> int:
# """
# @return the single integer that this NestedInteger holds, if it holds a single integer
# Return None if this NestedInteger holds a nested list
# """
#
# def getList(self) -> [NestedInteger]:
# """
# @return the nested list that this NestedInteger holds, if it holds a nested list
# Return None if this NestedInteger holds a single integer
# """
class NestedIterator:
def __init__(self, nestedList: [NestedInteger]):
self.arr = collections.deque()
self.flattenList(nestedList)
def next(self) -> int:
return self.arr.pop()
def hasNext(self) -> bool:
return len(self.arr)
def flattenList(self, nestedList):
for item in nestedList:
if item.isInteger():
self.arr.appendleft(item.getInteger())
else:
self.flattenList(item.getList())
# Your NestedIterator object will be instantiated and called as such:
# i, v = NestedIterator(nestedList), []
# while i.hasNext(): v.append(i.next())
Time Complexity: O(n)
, for initializw, O(1)
for other operations
Space Complexity: O(n)
, n is the size of the queue.