LeetCode has a Medium coding Problem in Its’ Algorithm Section “Search in Rotated Sorted Array”. Today We are going to solve this problem. LeetCode Link of the Problem is HERE

Question
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.
Examples
Input: nums = [4,5,6,7,0,1,2], target = 0 Output: 4
Input: nums = [4,5,6,7,0,1,2], target = 3 Output: -1
Input: nums = [1], target = 0 Output: -1
Constraints:
1 <= nums.length <= 5000
-104 <= nums[i] <= 104
- All values of
nums
are unique. nums
is an ascending array that is possibly rotated.-104 <= target <= 104
Solution to Search in Rotated Sorted Array
Skeleton code
class Solution(object):
def search(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: int
"""
If you find the target value in the array return its index, otherwise return -1. You may assume no duplicate exists in the array.
Complete Solution
class Solution:
def search(self, nums, target):
l, r = 0, len(nums)-1
while l <= r:
mid = l + (r-l)//2
if nums[mid] == target:
return mid
if nums[l] <= nums[mid]: # here should include "==" case
if nums[l] <= target < nums[mid]:
r = mid - 1
else:
l = mid + 1
else:
if nums[mid] < target <= nums[r]:
l = mid + 1
else:
r = mid - 1
return -1
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