code: def slice_data_entry(
      entry: DataEntry, slice_: slice, prediction_length: int = 0
  ) -> DataEntry:
      slice_ = to_positive_slice(
          to_integer_slice(slice_, entry[FieldName.START]),
          entry[FieldName.TARGET].shape[-1],
      )
  
      if slice_.stop is not None:
          slice_extended = slice(
              slice_.start, slice_.stop + prediction_length, slice_.step
          )
      else:
          slice_extended = slice_
  
      sliced_entry = dict(entry)
  
      if slice_.start is not None:
          offset = slice_.start
          if offset < 0:
              offset += entry["target"].shape[-1]
          sliced_entry[FieldName.START] += offset
  
      # TODO fix
      if len(sliced_entry[FieldName.TARGET].shape) == 1:
          sliced_entry[FieldName.TARGET] = sliced_entry[
              FieldName.TARGET
          ][slice_]
      else:
          sliced_entry[FieldName.TARGET] = sliced_entry[
              FieldName.TARGET
          ][:, slice_]
  
      if FieldName.FEAT_DYNAMIC_REAL in sliced_entry:
          sliced_entry[FieldName.FEAT_DYNAMIC_REAL] = sliced_entry[
              FieldName.FEAT_DYNAMIC_REAL
          ][:, slice_extended]
  
      if FieldName.FEAT_DYNAMIC_CAT in sliced_entry:
          sliced_entry[FieldName.FEAT_DYNAMIC_CAT] = sliced_entry[
              FieldName.FEAT_DYNAMIC_CAT
          ][:, slice_extended]
  
      if FieldName.PAST_FEAT_DYNAMIC_REAL in sliced_entry:
          sliced_entry[FieldName.PAST_FEAT_DYNAMIC_REAL] = sliced_entry[
              FieldName.PAST_FEAT_DYNAMIC_REAL
          ][:, slice_]
  
      return sliced_entry
  
imports: from abc import ABC, abstractmethod
  from dataclasses import dataclass
  from typing import Generator, Optional, Tuple
  import pandas
  from gluonts.dataset import Dataset, DataEntry
  from gluonts.dataset.field_names import FieldName
label_desc: Use image node_id 4 for calling a global function with example usage: slice_data_entry(entry, slice_, prediction_length) and returns: sliced_entry