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feat: refactored docs structure
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---
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title: '162. Find Peak Element'
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description: A peak element is an element that is strictly greater than its neighbors
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icon: dot
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topics:
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- { name: "Array", slug: "array" }
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- { name: "Binary Search", slug: "binary-search" }
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issue: "https://github.com/prdlk/leetcode/issues/64"
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sidebar:
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label: 'Find Peak Element'
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badge: 'Medium'
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---
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::::warning
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You must write an algorithm that runs in O(log n) time.
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::::
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### Example 1:
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- Input: `nums = [1,2,3,1]`
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- Output: `2`
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- Explanation: `3` is a peak element and your function should return the index number `2`.
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### Example 2:
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- Input: `nums = [1,2,1,3,5,6,4]`
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- Output: `5`
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- Explanation: Your function can return either index number `1` where the peak element is `2`, or index number `5` where the peak element is `6`.
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### Constraints:
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- `1 <= nums.length <= 1000`
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- `-2^31 <= nums[i] <= 2^31 - 1`
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- `nums[i] != nums[i + 1] for all valid i.`
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## Solution
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```py
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class Solution:
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def findPeakElement(self, nums: list[int]) -> int:
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left, right = 0, len(nums) - 1
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while left < right:
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mid = (left + right) // 2
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if nums[mid] < nums[mid + 1]:
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left = mid + 1
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else:
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right = mid
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return left
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```
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