Given an integer array nums
(0-indexed) and two integers target
and start
, find an index i
such that nums[i] == target
and abs(i - start)
is minimized. Note that abs(x)
is the absolute value of x
.
Return abs(i - start)
.
It is guaranteed that target
exists in nums
.
Example 1:
Input: nums = [1,2,3,4,5], target = 5, start = 3 Output: 1 Explanation: nums[4] = 5 is the only value equal to target, so the answer is abs(4 - 3) = 1.
Example 2:
Input: nums = [1], target = 1, start = 0 Output: 0 Explanation: nums[0] = 1 is the only value equal to target, so the answer is abs(0 - 0) = 1.
Example 3:
Input: nums = [1,1,1,1,1,1,1,1,1,1], target = 1, start = 0 Output: 0 Explanation: Every value of nums is 1, but nums[0] minimizes abs(i - start), which is abs(0 - 0) = 0.
Constraints:
1 <= nums.length <= 1000
1 <= nums[i] <= 104
0 <= start < nums.length
target
is innums
.
class Solution:
def getMinDistance(self, nums: List[int], target: int, start: int) -> int:
res = float('inf')
for i, num in enumerate(nums):
if num == target:
res = min(res, abs(i - start))
return res
class Solution {
public int getMinDistance(int[] nums, int target, int start) {
int res = Integer.MAX_VALUE;
for (int i = 0; i < nums.length; ++i) {
if (nums[i] == target) {
res = Math.min(res, Math.abs(i - start));
}
}
return res;
}
}
class Solution {
public:
int getMinDistance(vector<int>& nums, int target, int start) {
int res = nums.size();
for (int i = 0; i < nums.size(); ++i) {
if (nums[i] == target) {
res = min(res, abs(i - start));
}
}
return res;
}
};