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import math
def calculate_standard_error(window):
ย ย ย n = len(window)
ย ย ย if n == 0:
ย ย ย ย ย ย ย return 0
ย ย ย mean = sum(window) / n
ย ย ย variance = sum((x - mean) ** 2 for x in window) / n
ย ย ย std_dev = math.sqrt(variance)
ย ย ย return std_dev / math.sqrt(n)
def sliding_window_spikes(measurements, measurementsLength, m, tolerance):
ย ย ย if m > measurementsLength or m == 0:
ย ย ย ย ย ย ย return 0
ย ย ย
ย ย ย sum_indices = 0
ย ย ย for i in range(measurementsLength - m + 1):
ย ย ย ย ย ย ย window = measurements[i:i + m]
ย ย ย ย ย ย ย se = calculate_standard_error(window)
ย ย ย ย ย ย ย if se > tolerance:
ย ย ย ย ย ย ย ย ย ย ย sum_indices += (i + 1)ย # 1-based index
ย ย ย
ย ย ย return sum_indices
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