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Update 0501.二叉搜索树中的众数.md
规范Python3代码
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@ -470,38 +470,54 @@ class Solution {
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## Python
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递归法
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> 递归法
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```python
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```python3
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# Definition for a binary tree node.
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# class TreeNode:
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# def __init__(self, val=0, left=None, right=None):
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# self.val = val
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# self.left = left
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# self.right = right
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class Solution:
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def __init__(self):
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self.pre = TreeNode()
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self.count = 0
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self.max_count = 0
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self.result = []
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def findMode(self, root: TreeNode) -> List[int]:
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if not root: return
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self.pre = root
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self.count = 0 //统计频率
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self.countMax = 0 //最大频率
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self.res = []
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def findNumber(root):
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if not root: return None // 第一个节点
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findNumber(root.left) //左
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if self.pre.val == root.val: //中: 与前一个节点数值相同
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self.count += 1
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else: // 与前一个节点数值不同
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self.pre = root
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if not root: return None
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self.search_BST(root)
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return self.result
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def search_BST(self, cur: TreeNode) -> None:
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if not cur: return None
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self.search_BST(cur.left)
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# 第一个节点
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if not self.pre:
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self.count = 1
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if self.count > self.countMax: // 如果计数大于最大值频率
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self.countMax = self.count // 更新最大频率
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self.res = [root.val] //更新res
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elif self.count == self.countMax: // 如果和最大值相同,放进res中
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self.res.append(root.val)
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findNumber(root.right) //右
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return
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findNumber(root)
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return self.res
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# 与前一个节点数值相同
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elif self.pre.val == cur.val:
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self.count += 1
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# 与前一个节点数值不相同
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else:
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self.count = 1
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self.pre = cur
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if self.count == self.max_count:
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self.result.append(cur.val)
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if self.count > self.max_count:
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self.max_count = self.count
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self.result = [cur.val] # 清空self.result,确保result之前的的元素都失效
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self.search_BST(cur.right)
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```
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迭代法-中序遍历-不使用额外空间,利用二叉搜索树特性
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```python
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> 迭代法-中序遍历-不使用额外空间,利用二叉搜索树特性
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```python3
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class Solution:
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def findMode(self, root: TreeNode) -> List[int]:
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stack = []
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