Update 0501.二叉搜索树中的众数.md

problems/0501.二叉搜索树中的众数.md

@@ -475,8 +475,7 @@ class Solution {
 
 ## Python 
 
-> 递归法
+递归法（版本一）利用字典
-> 常量空间，递归产生的栈不算
 
 ```python
 # Definition for a binary tree node.
@@ -485,77 +484,108 @@ class Solution {
 #         self.val = val
 #         self.left = left
 #         self.right = right
+from collections import defaultdict
+
 class Solution:
-    def __init__(self):
+    def searchBST(self, cur, freq_map):
-        self.pre = TreeNode()
+        if cur is None:
-        self.count = 0
+            return
-        self.max_count = 0
+        freq_map[cur.val] += 1  # 统计元素频率
-        self.result = []
+        self.searchBST(cur.left, freq_map)
+        self.searchBST(cur.right, freq_map)
 
-    def findMode(self, root: TreeNode) -> List[int]:
+    def findMode(self, root):
-        if not root: return None
+        freq_map = defaultdict(int)  # key:元素，value:出现频率
-        self.search_BST(root)
+        result = []
-        return self.result
+        if root is None:
-        
+            return result
-    def search_BST(self, cur: TreeNode) -> None:
+        self.searchBST(root, freq_map)
-        if not cur: return None
+        max_freq = max(freq_map.values())
-        self.search_BST(cur.left)
+        for key, freq in freq_map.items():
-        # 第一个节点
+            if freq == max_freq:
-        if not self.pre:
+                result.append(key)
-            self.count = 1
+        return result
-        # 与前一个节点数值相同
-        elif self.pre.val == cur.val:
-            self.count += 1 
-        # 与前一个节点数值不相同
-        else:
-            self.count = 1
-        self.pre = cur
 
-        if self.count == self.max_count:
-            self.result.append(cur.val)
-        
-        if self.count > self.max_count:
-            self.max_count = self.count
-            self.result = [cur.val]	# 清空self.result，确保result之前的的元素都失效
-        
-        self.search_BST(cur.right)
 ```
 
+递归法（版本二）利用二叉搜索树性质
 
-> 迭代法-中序遍历
-> 利用二叉搜索树特性，在历遍过程中更新结果，一次历遍
-> 但需要使用额外空间存储历遍的节点
 ```python
 class Solution:
-    def findMode(self, root: TreeNode) -> List[int]:
+    def __init__(self):
-        stack = []
+        self.maxCount = 0  # 最大频率
+        self.count = 0  # 统计频率
+        self.pre = None
+        self.result = []
+
+    def searchBST(self, cur):
+        if cur is None:
+            return
+
+        self.searchBST(cur.left)  # 左
+        # 中
+        if self.pre is None:  # 第一个节点
+            self.count = 1
+        elif self.pre.val == cur.val:  # 与前一个节点数值相同
+            self.count += 1
+        else:  # 与前一个节点数值不同
+            self.count = 1
+        self.pre = cur  # 更新上一个节点
+
+        if self.count == self.maxCount:  # 如果与最大值频率相同，放进result中
+            self.result.append(cur.val)
+
+        if self.count > self.maxCount:  # 如果计数大于最大值频率
+            self.maxCount = self.count  # 更新最大频率
+            self.result = [cur.val]  # 很关键的一步，不要忘记清空result，之前result里的元素都失效了
+
+        self.searchBST(cur.right)  # 右
+        return
+
+    def findMode(self, root):
+        self.count = 0
+        self.maxCount = 0
+        self.pre = None  # 记录前一个节点
+        self.result = []
+
+        self.searchBST(root)
+        return self.result
+```
+迭代法
+```python
+class Solution:
+    def findMode(self, root):
+        st = []
         cur = root
         pre = None
-        maxCount, count = 0, 0
+        maxCount = 0  # 最大频率
-        res = []
+        count = 0  # 统计频率
-        while cur or stack:
+        result = []
-            if cur:  # 指针来访问节点，访问到最底层
+
-                stack.append(cur)
+        while cur is not None or st:
-                cur = cur.left
+            if cur is not None:  # 指针来访问节点，访问到最底层
-            else:  # 逐一处理节点
+                st.append(cur)  # 将访问的节点放进栈
-                cur = stack.pop()
+                cur = cur.left  # 左
-                if pre == None:  # 第一个节点
+            else:
+                cur = st.pop()
+                if pre is None:  # 第一个节点
                     count = 1
                 elif pre.val == cur.val:  # 与前一个节点数值相同
                     count += 1
-                else:
+                else:  # 与前一个节点数值不同
                     count = 1
-                if count == maxCount:
+
-                    res.append(cur.val)
+                if count == maxCount:  # 如果和最大值相同，放进result中
-                if count > maxCount:
+                    result.append(cur.val)
-                    maxCount = count
+
-                    res.clear()
+                if count > maxCount:  # 如果计数大于最大值频率
-                    res.append(cur.val)
+                    maxCount = count  # 更新最大频率
+                    result = [cur.val]  # 很关键的一步，不要忘记清空result，之前result里的元素都失效了
 
                 pre = cur
-                cur = cur.right
+                cur = cur.right  # 右
-        return res	
+
-	
+        return result
 ```
 ## Go