code: def testWriteCloseTensorArray(self):
      with self.session(), self.test_scope():
  
          def fn():
              ta = tensor_array_ops.TensorArray(
                  dtype=dtypes.float32,
                  tensor_array_name="foo",
                  size=3,
                  infer_shape=False,
              )
              w0 = ta.write(0, [[4.0, 5.0]])
              w1 = w0.write(1, [[3.0, 1.0]])
              with ops.control_dependencies([w1.close()]):
                  return 1.0
  
          self.evaluate(xla.compile(fn))
  
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.compiler.xla import xla
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import gen_data_flow_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import tensor_array_grad
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 31 for calling the TensorArrayTest obj's underlying member method code with example usage: obj.testWriteCloseTensorArray() and returns: int