code: def __init__(self, data_type):
      super().__init__(data_type)
      self._data = [
          [
              np.array([1, 2, 3, 4], dtype=self._data_type),
              np.array([33, 2, 10, 10], dtype=self._data_type),
          ],
          [
              np.array([10, 20, 30, 20], dtype=self._data_type),
              np.array([33, 2, 15, 19], dtype=self._data_type),
          ],
      ]
  
imports: import nvidia.dali.fn
  from nvidia.dali.pipeline import Pipeline
  from nose.tools import nottest
  import numpy
  from test_utils import np_type_to_dali
  from nose_utils import assert_raises
label_desc: Use image node_id 1 to create a new Batch1D object from inherited base classes: Batch with example: obj = Batch1D(data_type)