# 000852-Peak-Index-in-a-Mountain-Array

### Problem

<https://leetcode.com/problems/peak-index-in-a-mountain-array/description/>

An array arr a mountain if the following properties hold:

arr.length >= 3 There exists some i 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 a mountain array arr, return the index i such that arr\[0] < arr\[1] < ... < arr\[i - 1] < arr\[i] > arr\[i + 1] > ... > arr\[arr.length - 1].

You must solve it in O(log(arr.length)) time complexity.

Example 1:

Input: arr = \[0,1,0] Output: 1 Example 2:

Input: arr = \[0,2,1,0] Output: 1 Example 3:

Input: arr = \[0,10,5,2] Output: 1

Constraints:

3 <= arr.length <= 105 0 <= arr\[i] <= 106 arr is guaranteed to be a mountain array.

### Solution

It requires solves this problem in `O(log(arr.length))`, intuitive thought of binary search.

**Binary search**

```python
class Solution:
    def peakIndexInMountainArray(self, arr: List[int]) -> int:
        l, r = 0, len(arr)-1
        
        while l <= r:
            m = (l+r)//2
            if arr[m-1] < arr[m] and arr[m+1] < arr[m]:
                return m
            elif arr[m+1] > arr[m]:
                l = m+1
            else:
                r = m-1
    
        return l
```

**naive solution**

loop through the arry

```python
class Solution:
    def peakIndexInMountainArray(self, arr: List[int]) -> int:
        if not arr:
            return -1
        
        for i in range(1, len(arr)-1):
            if arr[i-1] < arr[i] and arr[i+1] < arr[i]:
                return i
        return -1
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://snowan.gitbook.io/study-notes/leetcode/python/000852-peak-index-in-a-mountain-array.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
