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
impl Solution {
pub fn search(nums: Vec<i32>, target: i32) -> i32 {
let mut lo = 0;
let mut hi = nums.len() as i32 - 1;
while lo <= hi {
let mid = lo + ((hi - lo) >> 1); // Calculate mid index
if nums[mid as usize] == target {
return mid; // Target found, return the index
}
// If the left half is sorted
if nums[lo as usize] <= nums[mid as usize] {
// Check if the target lies within the sorted left half
if nums[lo as usize] <= target && target <= nums[mid as usize] {
hi = mid - 1; // Target is in the left half
} else {
lo = mid + 1; // Move to the right half
}
} else {
// If the right half is sorted
if nums[mid as usize] <= target && target <= nums[hi as usize] {
lo = mid + 1; // Target is in the right half
} else {
hi = mid - 1; // Move to the left half
}
}
}
-1 // Target not found
}
}