code: def batchify(
      data: List[dict],
      ctx: Optional[mx.context.Context] = None,
      dtype: Optional[Type] = np.float32,
      variable_length: bool = False,
      is_right_pad: bool = True,
  ) -> DataBatch:
      return {
          key: stack(
              data=[item[key] for item in data],
              ctx=ctx,
              dtype=dtype,
              variable_length=variable_length,
              is_right_pad=is_right_pad,
          )
          for key in data[0].keys()
      }
  
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 5 for calling a global function with example usage: batchify(data, ctx, dtype, variable_length, is_right_pad) and returns: unknown