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binary-tree-zigzag-level-order-traversal.py
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108 lines (101 loc) · 3.83 KB
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# https://leetcode.com/problems/binary-tree-zigzag-level-order-traversal/
#
# Given a binary tree, return the zigzag level order traversal of its nodes' values. (ie, from left to right, then right to left for the next level and alternate between).
#
# For example:
# Given binary tree {3,9,20,#,#,15,7},
# 3
# / \
# 9 20
# / \
# 15 7
# return its zigzag level order traversal as:
# [
# [3],
# [20,9],
# [15,7]
# ]
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def zigzagLevelOrder(self, root):
"""
:type root: TreeNode
:rtype: List[List[int]]
"""
# Using a regular level order traversal (either by inverting the order or insertion) or using a stack
# The solution implemented so far is a little hacked, I did a regular level order traversal and
# reversed alternate entries in the list to f list
#Step 1 : levelOrder traversal
levelOrder_list = self.levelOrder(self.root)
# Step 2 : Reverse the Level Order traversal
for i in xrange(len(levelOrder_list)):
if i%2 == 1:
levelOrder_list[i] = levelOrder_list[i][::-1]
return levelOrder_list
def levelOrder(self,root):
self.root = root
if self.root == None:
return []
else:
processing_queue , results = [self.root],[]
while processing_queue:
level_vals , length = [],len(processing_queue)
for i in xrange(length):
temp_node = processing_queue[0]
level_vals.append(temp_node.val)
if temp_node.left:
processing_queue.append(temp_node.left)
if temp_node.right:
processing_queue.append(temp_node.right)
processing_queue.pop(0)
results.append(level_vals)
return results
class Solution(object):
def zigzagLevelOrder(self, root):
self.root = root
if self.root == None:
return []
else:
processing_queue , results = [self.root],[]
order = "even"
while processing_queue:
if order == "odd":
level_vals , length = [],len(processing_queue)
for i in xrange(length):
temp_node = processing_queue[0]
level_vals.append(temp_node.val)
if temp_node.left:
processing_queue.append(temp_node.left)
if temp_node.right:
processing_queue.append(temp_node.right)
processing_queue.pop(0)
results.append(level_vals)
order = "even"
if order == "even":
level_vals , length = [],len(processing_queue)
for i in xrange(length):
temp_node = processing_queue[0]
level_vals.append(temp_node.val)
if temp_node.right:
processing_queue.append(temp_node.right)
if temp_node.left:
processing_queue.append(temp_node.left)
processing_queue.pop(0)
results.append(level_vals)
order = "odd"
if results[len(results)-1]==[]:
return results[:-1:]
else:
return results
# Fails in the following test - should understand serialization more to figure this out.
# Input:
# [1,2,3,4,null,null,5]
# Output:
# [[1],[3,2],[5,4]]
# Expected:
# [[1],[3,2],[4,5]]