code: def testTensorArray(self):
      def _map_fn(i):
          i = math_ops.cast(i, dtypes.int32)
          return tensor_array_ops.TensorArray(
              dtype=dtypes.int32, element_shape=(), size=i
          ).unstack(math_ops.range(i))
  
      def _flat_map_fn(x):
          self.assertIsInstance(x, tensor_array_ops.TensorArray)
          return dataset_ops.Dataset.from_tensor_slices(x.stack())
  
      dataset = (
          dataset_ops.Dataset.range(10)
          .map(_map_fn)
          .flat_map(_flat_map_fn)
      )
  
      expected_output = []
      for i in range(10):
          for j in range(i):
              expected_output.append(j)
  
      self.assertDatasetProduces(
          dataset, expected_output=expected_output
      )
  
imports: import random
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.client import session
  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.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops.ragged import ragged_conversion_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow.python.training import server_lib
label_desc: Use image node_id 6 for calling the FlatMapTest obj's underlying member method code with example usage: obj.testTensorArray() and returns: tensor_array_ops, dataset_ops