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[(i - timesteps + 1) to (i)] are anomalies anomalous_data_indices = [] for data_idx in range(TIME_STEPS - 1, len(df_test_value) - TIME_STEPS + 1): if np.all(anomalies[data_idx - TIME_STEPS + 1 : data_idx]): anomalous_data_indices.append(data_idx) df_subset =