Given a binary tree with the following rules:
You need to first recover the binary tree and then implement the FindElements class:
Example 1:
Input
["FindElements","find","find"]
[[[-1,null,-1]],[1],[2]]
Output
[null,false,true]
Explanation
FindElements findElements = new FindElements([-1,null,-1]);
findElements.find(1); // return False
findElements.find(2); // return True
Example 2:
Input
["FindElements","find","find","find"]
[[[-1,-1,-1,-1,-1]],[1],[3],[5]]
Output
[null,true,true,false]
Explanation
FindElements findElements = new FindElements([-1,-1,-1,-1,-1]);
findElements.find(1); // return True
findElements.find(3); // return True
findElements.find(5); // return False
Example 3:
Input
["FindElements","find","find","find","find"]
[[[-1,null,-1,-1,null,-1]],[2],[3],[4],[5]]
Output
[null,true,false,false,true]
Explanation
FindElements findElements = new FindElements([-1,null,-1,-1,null,-1]);
findElements.find(2); // return True
findElements.find(3); // return False
findElements.find(4); // return False
findElements.find(5); // return True
Constraints:
题目的意思是:恢复Contaminated二叉树,实现find操作。思路也很直接,list递归存储恢复的二叉树的值。然后find的时候判断target是否在list集合里面就行了。我看了一下别人的实现,跟我的差不多,当然也有其他的神奇实现,读者自行研究哈哈哈。
# 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 FindElements:
def solve(self,root,x):
if(root is None):
return
self.res.append(x)
self.solve(root.left,2*x+1)
self.solve(root.right,2*x+2)
def __init__(self, root: TreeNode):
self.res=[]
self.solve(root,0)
def find(self, target: int) -> bool:
if(target in self.res):
return True
return False
# Your FindElements object will be instantiated and called as such:
# obj = FindElements(root)
# param_1 = obj.find(target)