code: def mase(
      y_pred: np.ndarray, y_true: np.ndarray, error: np.ndarray
  ) -> np.ndarray:
      mase_values = np.abs(y_pred - y_true).mean(1) / error
      return mase_values.mean()
  
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 6 for calling a global function with example usage: mase(y_pred, y_true, error) and returns: mase_values