docstr: Test a dataset that represents a TensorArray.
docstr_tok: ["Test","a","dataset","that","represents","a","TensorArray","."]
code: def testFromTensorsTensorArray(self):
      """Test a dataset that represents a TensorArray."""
      components = tensor_array_ops.TensorArray(
          dtypes.float32, element_shape=(), size=2
      ).unstack([1.0, 2.0])
  
      dataset = dataset_ops.Dataset.from_tensors(components)
  
      self.assertDatasetProduces(
          dataset,
          expected_output=[[1.0, 2.0]],
          requires_initialization=True,
      )
  
imports: import collections
  import dataclasses
  from absl.testing import parameterized
  import numpy
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  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 ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the FromTensorsTest obj's underlying member method code with example usage: obj.testFromTensorsTensorArray() without return types