code: def get_data(self, t, index):  # pragma: no cover
      # coverage not included as now there is no solution to cover tensorflow methods
      # see https://github.com/tensorflow/tensorflow/issues/33759 for more details.
      fetch_kwargs = dict()
      if self._fetch_kwargs:
          fetch_kwargs = copy.deepcopy(self._fetch_kwargs)
  
      if isinstance(t, TENSOR_TYPE):
          return t[index].fetch(**fetch_kwargs)
      elif isinstance(t, np.ndarray):
          return t[index]
      elif isinstance(t, DATAFRAME_TYPE):
          return t.iloc[index].fetch(**fetch_kwargs).values
      elif isinstance(t, SERIES_TYPE):
          return t.iloc[index].fetch(**fetch_kwargs)
      elif isinstance(t, pd.DataFrame):
          return t.iloc[index].values
      elif isinstance(t, pd.Series):
          return t.iloc[index]
      else:
          return t[index]
  
file_path: mars/mars/learn/contrib/tensorflow/dataset.py
imports: import copy
  from typing import List, Tuple
  import pandas
  import numpy
  from ....None import execute
  from ....core.context import get_context
  from ....tensor.core import TENSOR_TYPE
  from ....dataframe.core import DATAFRAME_TYPE, SERIES_TYPE
  from ....utils import require_not_none, lazy_import
label_desc: Use image node_id 4 for calling the MarsDataset obj's underlying member method code with example usage: obj.get_data(t, index) and returns: t, t, t, t, t, t, t