Problem statement:
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.
I have written the exact similar code given in submissions for the problem, but, it fails for one of my output. I am unable to find the reason. Am I missing some logic?
class Solution {
public int search(int[] nums, int target) {
int left = nums[0];
int right = nums.length - 1;
while (left <= right) {
int mid = (left + right) / 2;
if (target == nums[mid]) {
return mid;
} else {
// if left sorted
if (nums[left] <= nums[mid]) {
if (nums[left] <= target && target < nums[mid]) {
right = mid - 1;
} else {
left = mid + 1;
}
} else {
// else right sorted
if (nums[mid] < target && target <= nums[right]) {
left = mid + 1;
} else {
right = mid - 1;
}
}
}
}
return -1;
}
}
The code fails to provide output for
nums = [6,7,1,2,3,4,5]
and target = 7
.
Expected output is 1
, actual output is -1
.
Disgusting mistake, we usually don't look at simple initialization twice ;) and I've been going through main algo body first. But debugging would help.
Replace
int left = nums[0];
with
int left = 0;