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987.VerticalOrderTraversalofaBinaryTree.py
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"""
Given a binary tree, return the vertical order traversal of its nodes
values.
For each node at position (X, Y), its left and right children respectively
will be at positions (X-1, Y-1) and (X+1, Y-1).
Running a vertical line from X = -infinity to X = +infinity, whenever the
vertical line touches some nodes, we report the values of the nodes in
order from top to bottom (decreasing Y coordinates).
If two nodes have the same position, then the value of the node that is
reported first is the value that is smaller.
Return an list of non-empty reports in order of X coordinate. Every report
will have a list of values of nodes.
Example:
3
/ \
9 20
/ \
15 7
Input: [3,9,20,null,null,15,7]
Output: [[9],[3,15],[20],[7]]
Explanation:
Without loss of generality, we can assume the root node is at
position (0, 0):
Then, the node with value 9 occurs at position (-1, -1);
The nodes with values 3 and 15 occur at positions (0, 0) and
(0, -2);
The node with value 20 occurs at position (1, -1);
The node with value 7 occurs at position (2, -2).
Example:
1
/ \
2 3
/ \ / \
4 5 6 7
Input: [1,2,3,4,5,6,7]
Output: [[4],[2],[1,5,6],[3],[7]]
Explanation:
The node with value 5 and the node with value 6 have the same
position according to the given scheme.
However, in the report "[1,5,6]", the node value of 5 comes
first since 5 is smaller than 6.
Note:
1. The tree will have between 1 and 1000 nodes.
2. Each node's value will be between 0 and 1000.
"""
#Difficulty:
#30 / 30 test cases passed.
#Runtime: 24 ms
#Memory Usage: 14.1 MB
#Runtime: 24 ms, faster than 99.12% of Python3 online submissions for Vertical Order Traversal of a Binary Tree.
#Memory Usage: 14.1 MB, less than 42.86% of Python3 online submissions for Vertical Order Traversal of a Binary Tree.
# 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:
def verticalTraversal(self, root: TreeNode) -> List[List[int]]:
x = y = 0
result = []
self.values = {}
self.inorder(root, x, y)
for x in sorted(self.values):
temp = []
for y in sorted(self.values[x], reverse=True):
temp += self.values[x][y]
result.append(temp)
return result
def inorder(self, root, x, y):
if not root:
return
self.inorder(root.left, x-1, y-1)
if x not in self.values:
self.values[x] = {y : [root.val]}
elif y not in self.values[x]:
self.values[x].update({y : [root.val]})
else:
self.values[x][y].append(root.val)
self.values[x][y].sort()
self.inorder(root.right, x+1, y-1)