code: def testTensorArrayWriteWrongIndexOrDataTypeFails(self):
      with self.session(), self.test_scope():
  
          def fn():
              ta = tensor_array_ops.TensorArray(
                  dtype=dtypes.float32, tensor_array_name="foo", size=3
              )
              return ta.write(-1, constant_op.constant(7)).flow
  
          # Test writing the wrong datatype.
          # TODO(b/129870929): Remove InvalidArgumentError/second regexp after all
          # callers provide proper init dtype.
          with self.assertRaisesRegex(
              (ValueError, errors.InvalidArgumentError),
              r"("
              r"conversion requested dtype float32 for Tensor with dtype int32"
              r"|"
              r"TensorArray dtype is float but op has dtype int32"
              r")",
          ):
              xla.compile(fn)[0].eval()
  
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 15 for calling the TensorArrayTest obj's underlying member method code with example usage: obj.testTensorArrayWriteWrongIndexOrDataTypeFails() and returns: ta