The current primitive suggests that the two parameters (error_smooth_window and critic_smooth_window) should be selected by the user, but in the code we override this value and assign it to be the minimum between 1% of the data length and 100.
def score_anomalies(.., critic_smooth_window=200, error_smooth_window=200):
critic_smooth_window = min(math.trunc(y.shape[0] * 0.01), 100)
error_smooth_window = min(math.trunc(y.shape[0] * 0.01), 100)
also in the original tests, we ignore the usage of taking the minimum, so it should be omitted.
update to
def score_anomalies(.., critic_smooth_window=None, error_smooth_window=None):
critic_smooth_window = critic_smooth_window or math.trunc(y.shape[0] * 0.01)
error_smooth_window = error_smooth_window or math.trunc(y.shape[0] * 0.01)
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