code: def naive_error(
      y_past: ma.masked_array, seasonality: int
  ) -> np.ndarray:
      error = np.abs(
          y_past[:, seasonality:] - y_past[:, :-seasonality]
      ).mean(1)
      return ma.getdata(error)
  
file_path: gluonts/src/gluonts/nursery/few_shot_prediction/src/meta/metrics/numpy.py
imports: import math
  import numpy
  import numpy.ma
  from typing import List, Dict
  from meta.datasets.splits import EvaluationDataset
label_desc: Use image node_id 5 for calling a global function with example usage: naive_error(y_past, seasonality) and returns: ma