code: def testGetitemFromVectorStruct(
      self, slice_spec, expected, test_requires_typespec=False
  ):
      # By default, lists are converted to RaggedTensors.
      if not test_requires_typespec:
          struct_vector = structured_tensor.StructuredTensor.from_pyval(
              EXAMPLE_STRUCT_VECTOR
          )
          self._TestGetItem(struct_vector, slice_spec, expected)
  
      # Using an explicit TypeSpec, we can convert them to Tensors instead.
      struct_vector2 = structured_tensor.StructuredTensor.from_pyval(
          EXAMPLE_STRUCT_VECTOR, EXAMPLE_STRUCT_SPEC1._batch(6)
      )
      self._TestGetItem(struct_vector2, slice_spec, expected)
  
imports: from absl.testing import parameterized
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.structured import structured_tensor
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 4 for calling the StructuredTensorSliceTest obj's underlying member method code with example usage: obj.testGetitemFromVectorStruct(slice_spec, expected, test_requires_typespec) without return types