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Populating Next Right Pointers in Each Node II Leetcode Python
Follow up for problem "Populating Next Right Pointers in Each Node".
What if the given tree could be any binary tree? Would your previous solution still work?
Note:
You may only use constant extra space.
For example,
Given the following binary tree,
1
/ \
2 3
/ \ \
4 5 7
After calling your function, the tree should look like:
1 -> NULL
/ \
2 -> 3 -> NULL
/ \ \
What if the given tree could be any binary tree? Would your previous solution still work?
Note:
You may only use constant extra space.
For example,
Given the following binary tree,
1
/ \
2 3
/ \ \
4 5 7
After calling your function, the tree should look like:
1 -> NULL
/ \
2 -> 3 -> NULL
/ \ \
4-> 5 -> 7 -> NULL
这题和原来题目的区别在于这里的tree有肯能不是full tree.或者有残缺。 所以最好的方法是level order travesral然后把每层的node从左边指向右边。
这里用了个额外的存储。所以空间复杂度为O(N)
一共需要遍历两遍第一遍是存储,第二遍是指针。所以时间复杂度为O(N)
code is as follow
# Definition for a binary tree node # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None # self.next = None class Solution: # @param root, a tree node # @return nothing def solve(self,solution,level,root): if len(solution)<level+1: solution.append([]) solution[level].append(root) if root.left: self.solve(solution,level+1,root.left) if root.right: self.solve(solution,level+1,root.right) def connect(self, root): if root==None: return root solution=[] level=0 self.solve(solution,level,root) for level in range(len(solution)): for count in range(1,len(solution[level])): solution[level][count-1].next=solution[level][count] solution[level][-1].next=None return root
Populating Next Right Pointers in Each Node II Leetcode Python
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