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博客园 - 北叶青藤

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845. Longest Mountain in Array
北叶青藤 · 2026-01-02 · via 博客园 - 北叶青藤

You may recall that an array arr is a mountain array if and only if:

  • arr.length >= 3
  • There exists some index i (0-indexed) with 0 < i < arr.length - 1 such that:
    • arr[0] < arr[1] < ... < arr[i - 1] < arr[i]
    • arr[i] > arr[i + 1] > ... > arr[arr.length - 1]

Given an integer array arr, return the length of the longest subarray, which is a mountain. Return 0 if there is no mountain subarray.

Example 1:

Input: arr = [2,1,4,7,3,2,5]
Output: 5
Explanation: The largest mountain is [1,4,7,3,2] which has length 5.

Example 2:

Input: arr = [2,2,2]
Output: 0
Explanation: There is no mountain.

Constraints:

  • 1 <= arr.length <= 104
  • 0 <= arr[i] <= 104

Follow up:

  • Can you solve it using only one pass?
  • Can you solve it in O(1) space?

Using extra space and 3 passes

Using 2 arrays to record the longest increasing and decrasing from current number. Then join both values to find the longest mountain. 

 1 class Solution:
 2     def longestMountain(self, arr: List[int]) -> int:
 3         if not arr or len(arr) < 3:
 4             return 0
 5         array_len = len(arr)
 6         increasing, decreasing = [0] * array_len, [0] * array_len
 7         for i in range (1, array_len):
 8             if arr[i] > arr[i - 1]:
 9                 increasing[i] = increasing[i - 1] + 1
10         for i in range (array_len - 2, -1, -1):
11             if arr[i] > arr[i + 1]:
12                 decreasing[i] = decreasing[i + 1] + 1
13         
14         max_length = 0
15         for i in range(1, len(arr) - 1):
16             if increasing[i] and decreasing[i]:
17                 max_length = max(max_length, increasing[i] + decreasing[i] + 1)
18         return max_length if max_length >= 3 else 0

 Approach 2: using one pass and no extra arrays. The idea is if there is a mountain, we must have up hill and down hill at the same time. 

 1 class Solution:
 2     def longestMountain(self, arr: List[int]) -> int:
 3         if not arr or len(arr) < 3:
 4             return 0
 5         i = 1
 6         max_len = 0
 7         arr_len = len(arr)
 8         while i < arr_len:
 9             while i < arr_len and arr[i] == arr[i - 1]:
10                 i += 1
11             increasing_count = decreasing_count = 0
12             while i < arr_len and arr[i - 1] < arr[i]:
13                 increasing_count += 1
14                 i += 1
15             
16             while i < arr_len and arr[i - 1] > arr[i]:
17                 decreasing_count += 1
18                 i += 1
19             
20             if increasing_count and decreasing_count:
21                 max_len = max(max_len, increasing_count + decreasing_count + 1)
22             
23         return max_len