code: def testRaggedNested(self):
      def _ragged(i):
          return ragged_tensor.RaggedTensor.from_tensor(i * [[1]])
  
      dataset = (
          dataset_ops.Dataset.range(10).map(_ragged).batch(5).batch(2)
      )
      expected_output = [
          ragged_factory_ops.constant(
              [
                  [[[0]], [[1]], [[2]], [[3]], [[4]]],
                  [[[5]], [[6]], [[7]], [[8]], [[9]]],
              ]
          )
      ]
      self.assertDatasetProduces(
          dataset, expected_output=expected_output
      )
  
imports: import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_management
  from tensorflow.python.data.experimental.ops import random_access
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.data.util import nest
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops.ragged import ragged_concat_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the BatchTest obj's underlying member method code with example usage: obj.testRaggedNested() and returns: ragged_tensor