Medium
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
Constraints:
1 <= nums.length <= 5000-104 <= nums[i] <= 104nums are unique.nums is an ascending array that is possibly rotated.-104 <= target <= 104# @param {Integer[]} nums
# @param {Integer} target
# @return {Integer}
def search(nums, target)
  lo = 0
  hi = nums.length - 1
  while lo <= hi
    mid = ((hi - lo) >> 1) + lo
    return mid if target == nums[mid]
    if nums[lo] <= nums[mid]
      if nums[lo] <= target && target <= nums[mid]
        hi = mid - 1
      else
        lo = mid + 1
      end
    elsif nums[mid] <= target && target <= nums[hi]
      lo = mid + 1
    else
      hi = mid - 1
    end
  end
  -1
end