code: def _pad_arrays(
      data: List[np.ndarray],
      axis: int = 0,
      is_right_pad: bool = True,
  ) -> List[np.ndarray]:
      assert isinstance(data[0], np.ndarray)
  
      # MxNet causes a segfault when persisting 0-length arrays. As such,
      # we add a dummy pad of length 1 to 0-length dims.
      max_len = max(
          1, functools.reduce(max, (x.shape[axis] for x in data))
      )
      return [
          pad_to_size(x, max_len, axis, is_right_pad=is_right_pad)
          for x in data
      ]
  
file_path: gluonts/src/gluonts/mx/batchify.py
imports: import functools
  from typing import List, Optional, Type
  import mxnet
  import numpy
  from gluonts.dataset.common import DataBatch
label_desc: Use image node_id 3 for calling a global function with example usage: _pad_arrays(data, axis, is_right_pad) and returns: unknown