code: def make_dummy_dynamic_feat(target, num_features) -> np.ndarray:
      # gives dummy dynamic_feat constructed from the target
      return np.vstack([target * (i + 1) for i in range(num_features)])
  
file_path: gluonts/test/dataset/test_stat.py
imports: import unittest
  from typing import cast
  import numpy
  import pandas
  from gluonts.dataset.common import DataEntry, Dataset
  from gluonts.dataset.stat import DatasetStatistics, ScaleHistogram, calculate_dataset_statistics
  from gluonts.exceptions import GluonTSDataError
label_desc: Use image node_id 1 for calling a global function with example usage: make_dummy_dynamic_feat(target, num_features) and returns: np