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] <= 104
nums
are unique.nums
is an ascending array that is possibly rotated.-104 <= target <= 104
object Solution {
def search(nums: Array[Int], target: Int): Int = {
var lo = 0
var hi = nums.length - 1
while (lo <= hi) {
val mid = (hi - lo) / 2 + lo
if (target == nums(mid)) {
return mid
}
if (nums(lo) <= nums(mid)) {
if (nums(lo) <= target && target <= nums(mid)) {
hi = mid - 1
} else {
lo = mid + 1
}
} else if (nums(mid) <= target && target <= nums(hi)) {
lo = mid + 1
} else {
hi = mid - 1
}
}
-1
}
}