code: def testPreserveInferredTensorArrayShape(self):
      ta = tensor_array_ops.TensorArray(dtype=dtypes.int32, size=1)
      # Shape is inferred from the write.
      ta = ta.write(0, [1, 2, 3])
      ta_s = structure.type_spec_from_value(ta)
      ta_after = structure.from_tensor_list(
          ta_s, structure.to_tensor_list(ta_s, ta)
      )
      self.assertEqual(ta_after.element_shape.as_list(), [3])
  
imports: import collections
  import dataclasses
  import functools
  from absl.testing import parameterized
  import numpy
  import wrapt
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.util import nest
  from tensorflow.python.data.util import structure
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_tensor_value
  from tensorflow.python.platform import test
  from tensorflow.python.util.compat import collections_abc
label_desc: Use image node_id 9 for calling the StructureTest obj's underlying member method code with example usage: obj.testPreserveInferredTensorArrayShape() without return types