Deloitte | COGNIZANT | IBM | CAPGEMINI
import math
def slidingWindowSpikes(measurements, measurementsLength, m, tolerance):
sum_of_indices = 0
for i in range(measurementsLength - m + 1):
window = measurements[i:i+m]
mean = sum(window) / m
variance = sum((x - mean) ** 2 for x in window) / m
standard_error = math.sqrt(variance)
if standard_error > tolerance:
sum_of_indices += (i + 1)
return sum_of_indices
SLIDING WINDOW SPIKES ✅✅
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