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An experiment is being conducted in a lab. To ensure accuracy, there are two sensors collecting data simultaneously. You are given two arrays sensor1
and sensor2
, where sensor1[i]
and sensor2[i]
are the ith
data points collected by the two sensors.
However, this type of sensor has a chance of being defective, which causes exactly one data point to be dropped. After the data is dropped, all the data points to the right of the dropped data are shifted one place to the left, and the last data point is replaced with some random value. It is guaranteed that this random value will not be equal to the dropped value.
- For example, if the correct data is
[1,2,3,4,5]
and3
is dropped, the sensor could return[1,2,4,5,7]
(the last position can be any value, not just7
).
We know that there is a defect in at most one of the sensors. Return the sensor number (1
or 2
) with the defect. If there is no defect in either sensor or if it is impossible to determine the defective sensor, return -1
.
Example 1:
Input: sensor1 = [2,3,4,5], sensor2 = [2,1,3,4] Output: 1 Explanation: Sensor 2 has the correct values. The second data point from sensor 2 is dropped, and the last value of sensor 1 is replaced by a 5.
Example 2:
Input: sensor1 = [2,2,2,2,2], sensor2 = [2,2,2,2,5] Output: -1 Explanation: It is impossible to determine which sensor has a defect. Dropping the last value for either sensor could produce the output for the other sensor.
Example 3:
Input: sensor1 = [2,3,2,2,3,2], sensor2 = [2,3,2,3,2,7] Output: 2 Explanation: Sensor 1 has the correct values. The fourth data point from sensor 1 is dropped, and the last value of sensor 1 is replaced by a 7.
Constraints:
sensor1.length == sensor2.length
1 <= sensor1.length <= 100
1 <= sensor1[i], sensor2[i] <= 100
Traverse both arrays, find the first unequal position
If the traversal ends, it means that the defective sensor cannot be determined, return
The time complexity is
class Solution:
def badSensor(self, sensor1: List[int], sensor2: List[int]) -> int:
i, n = 0, len(sensor1)
while i < n - 1:
if sensor1[i] != sensor2[i]:
break
i += 1
while i < n - 1:
if sensor1[i + 1] != sensor2[i]:
return 1
if sensor1[i] != sensor2[i + 1]:
return 2
i += 1
return -1
class Solution {
public int badSensor(int[] sensor1, int[] sensor2) {
int i = 0;
int n = sensor1.length;
for (; i < n - 1 && sensor1[i] == sensor2[i]; ++i) {
}
for (; i < n - 1; ++i) {
if (sensor1[i + 1] != sensor2[i]) {
return 1;
}
if (sensor1[i] != sensor2[i + 1]) {
return 2;
}
}
return -1;
}
}
class Solution {
public:
int badSensor(vector<int>& sensor1, vector<int>& sensor2) {
int i = 0;
int n = sensor1.size();
for (; i < n - 1 && sensor1[i] == sensor2[i]; ++i) {}
for (; i < n - 1; ++i) {
if (sensor1[i + 1] != sensor2[i]) return 1;
if (sensor1[i] != sensor2[i + 1]) return 2;
}
return -1;
}
};
func badSensor(sensor1 []int, sensor2 []int) int {
i, n := 0, len(sensor1)
for ; i < n-1 && sensor1[i] == sensor2[i]; i++ {
}
for ; i < n-1; i++ {
if sensor1[i+1] != sensor2[i] {
return 1
}
if sensor1[i] != sensor2[i+1] {
return 2
}
}
return -1
}
function badSensor(sensor1: number[], sensor2: number[]): number {
let i = 0;
const n = sensor1.length;
while (i < n - 1) {
if (sensor1[i] !== sensor2[i]) {
break;
}
++i;
}
while (i < n - 1) {
if (sensor1[i + 1] !== sensor2[i]) {
return 1;
}
if (sensor1[i] !== sensor2[i + 1]) {
return 2;
}
++i;
}
return -1;
}