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Copy pathSearch_in_rotated_sorted_array.py
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Search_in_rotated_sorted_array.py
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# 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
class Solution:
def search(self, nums: List[int], target: int) -> int:
left = 0
right = len(nums)-1
while left <= right:
mid = (left + right)//2
if nums[mid] == target:
return mid
if nums[left] <= nums[mid]:
if target >= nums[left] and target <= nums[mid]:
right = mid - 1
else:
left = mid + 1
else:
if target >= nums[mid] and target <= nums[right]:
left = mid + 1
else:
right = mid - 1
return -1