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173.BinarySearchTreeIterator.py
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"""
Implement an iterator over a binary search tree (BST). Your iterator will
be initialized with the root node of a BST.
Calling next() will return the next smallest number in the BST.
Example:
7
/ \
3 15
/ \
9 20
BSTIterator iterator = new BSTIterator(root);
iterator.next(); // return 3
iterator.next(); // return 7
iterator.hasNext(); // return true
iterator.next(); // return 9
iterator.hasNext(); // return true
iterator.next(); // return 15
iterator.hasNext(); // return true
iterator.next(); // return 20
iterator.hasNext(); // return false
Note:
- next() and hasNext() should run in average O(1) time and uses O(h)
memory, where h is the height of the tree.
- You may assume that next() call will always be valid, that is, there
will be at least a next smallest number in the BST when next() is
called.
"""
#Difficulty: Medium
#62 / 62 test cases passed.
#Runtime: 92 ms
#Memory Usage: 20 MB
#Runtime: 92 ms, faster than 38.46% of Python3 online submissions for Binary Search Tree Iterator.
#Memory Usage: 20 MB, less than 97.86% of Python3 online submissions for Binary Search Tree Iterator.
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class BSTIterator:
def __init__(self, root: TreeNode):
self.stack = []
self.inorder(root, self.stack)
self.stack.reverse()
def next(self) -> int:
"""
@return the next smallest number
"""
if self.stack:
return self.stack.pop()
def hasNext(self) -> bool:
"""
@return whether we have a next smallest number
"""
return True if self.stack else False
def inorder(self, root, stack):
"""
prepare stack
"""
if not root:
return 0
self.inorder(root.left, stack)
stack.append(root.val)
self.inorder(root.right, stack)
# Your BSTIterator object will be instantiated and called as such:
# obj = BSTIterator(root)
# param_1 = obj.next()
# param_2 = obj.hasNext()