This problem involves comparing two sensor readings to identify which sensor, if any, has a faulty reading. A faulty sensor drops exactly one data point, shifting subsequent points to the left and replacing the last point with a random value.
The core idea is to find the first discrepancy between the two sensor readings. Once a discrepancy is found, we can determine if the discrepancy is due to a missing data point in sensor1
or sensor2
.
We iterate through both arrays simultaneously using a single pointer i
.
Find First Discrepancy: The loop continues as long as the elements at index i
in both arrays are equal. As soon as a difference is encountered, the loop breaks.
Check for Faulty Sensor: After finding the first discrepancy, we check if we are not at the second to last element (i < n-1
). If we are not, it means that there's no way to determine the faulty sensor. This is because the last element could be the dropped element or a random replacement.
Determine Faulty Sensor: If we are not at the end, we have two possibilities to investigate:
sensor1[i+1] != sensor2[i]
, this means that sensor2[i]
is a valid data point, while sensor1[i+1]
is the data point shifted from sensor2[i+1]
.sensor1[i] != sensor2[i+1]
, this means that sensor1[i]
is a valid data point, while sensor2[i+1]
is the data point shifted from sensor1[i+1]
.
If neither condition is met, it means there's no unique way to identify the faulty sensor.No Faulty Sensor: If the loop completes without finding any discrepancies, it indicates that both sensors are likely not faulty.
Return Result: Based on the above checks, the function returns:
1
if sensor 1 is faulty2
if sensor 2 is faulty-1
if no faulty sensor is determinedThe code implementations provided in the original response accurately reflect this approach in multiple programming languages (Python, Java, C++, Go, and TypeScript). Each implementation follows the same logic described above. The only variations are syntactic differences inherent to the programming languages.