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0094.py
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# Source: https://leetcode.com/problems/binary-tree-inorder-traversal
# Title: Binary Tree Inorder Traversal
# Difficulty: Medium
# Author: Mu Yang <http://muyang.pro>
################################################################################################################################
# Given the root of a binary tree, return the inorder traversal of its nodes' values.
#
# Example 1:
#
# Input: root = [1,null,2,3]
# Output: [1,3,2]
#
# Example 2:
#
# Input: root = []
# Output: []
#
# Example 3:
#
# Input: root = [1]
# Output: [1]
#
# Example 4:
#
# Input: root = [1,2]
# Output: [2,1]
#
# Example 5:
#
# Input: root = [1,null,2]
# Output: [1,2]
#
# Constraints:
#
# The number of nodes in the tree is in the range [0, 100].
# -100 <= Node.val <= 100
#
# Follow up:
#
# Recursive solution is trivial, could you do it iteratively?
#
################################################################################################################################
# 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 Solution:
"""Iteration"""
def inorderTraversal(self, root: TreeNode) -> List[int]:
stack = [(None, None,)]
status = None
while stack:
if root:
if status is None: # start
stack.append((root, 'L'))
root = root.left
status = None
elif status == 'L': # Left finished
yield root.val
stack.append((root, 'R'))
root = root.right
status = None
else: # Right finished
root, status = stack.pop()
else:
root, status = stack.pop()
################################################################################################################################
class Solution2:
"""Recursion"""
def inorderTraversal(self, root: TreeNode) -> List[int]:
if root:
yield from self.inorderTraversal(root.left)
yield root.val
yield from self.inorderTraversal(root.right)