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33-search-in-rotated-sorted-array.py
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52 lines (39 loc) · 1.75 KB
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"""
33. Search in Rotated Sorted Array
Medium - 43.6%
There is an integer array nums sorted in ascending order (with distinct values).
Prior to being passed to your function, nums is possibly rotated at an unknown pivot index k (1 <= k < nums.length) such that the resulting array is [nums[k], nums[k+1], ..., nums[n-1], nums[0], nums[1], ..., nums[k-1]] (0-indexed). For example, [0,1,2,4,5,6,7] might be rotated at pivot index 3 and become [4,5,6,7,0,1,2].
Given the array nums after the possible rotation and an integer target, return the index of target if it is in nums, or -1 if it is not in nums.
You must write an algorithm with O(log n) runtime complexity.
Example 1:
Input: nums = [4,5,6,7,0,1,2], target = 0
Output: 4
Example 2:
Input: nums = [4,5,6,7,0,1,2], target = 3
Output: -1
Example 3:
Input: nums = [1], target = 0
Output: -1
"""
from typing import List
class Solution:
def search(self, nums: List[int], target: int) -> int:
left, right = 0, len(nums) - 1
while left <= right:
mid = left + (right - left) // 2
if nums[mid] == target:
return mid
# Check which half is sorted
if nums[left] <= nums[mid]:
# Left half is sorted
if nums[left] <= target < nums[mid]:
right = mid - 1 # Target is in left half
else:
left = mid + 1 # Target is in right half
else:
# Right half is sorted
if nums[mid] < target <= nums[right]:
left = mid + 1 # Target is in right half
else:
right = mid - 1 # Target is in left half
return -1 # Target not found