code: def testRaggedElement(self):
      lst = [[1, 2], [3], [4, 5, 6]]
      rt = ragged_factory_ops.constant([lst])
      # This dataset consists of exactly one ragged tensor.
      ds = dataset_ops.Dataset.from_tensor_slices(rt)
      expected = np.array(
          [
              np.array([1, 2], dtype=np.int32),
              np.array([3], dtype=np.int32),
              np.array([4, 5, 6], dtype=np.int32),
          ],
          dtype=object,
      )
      for actual in ds.as_numpy_iterator():
          self.assertEqual(len(actual), len(expected))
          for actual_arr, expected_arr in zip(actual, expected):
              self.assertTrue(
                  np.array_equal(actual_arr, expected_arr),
                  f"{actual_arr} != {expected_arr}",
              )
  
imports: import collections
  import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_options
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import test
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
label_desc: Use image node_id 7 for calling the AsNumpyIteratorTest obj's underlying member method code with example usage: obj.testRaggedElement() without return types