code: def testMapDefunRaisesDefunError(self):
      @def_function.function(
          input_signature=[tensor_spec.TensorSpec([], dtypes.int32)]
      )
      def fn(x):
          with ops.control_dependencies([check_ops.assert_equal(x, 0)]):
              return array_ops.identity(x)
  
      elems = constant_op.constant([0, 0, 0, 37, 0])
      result = map_defun.map_defun(fn, [elems], [dtypes.int32], [()])
      with self.assertRaises(errors.InvalidArgumentError):
          self.evaluate(result)
  
imports: import time
  from absl.testing import parameterized
  from tensorflow.python.client import session
  from tensorflow.python.data.experimental.ops import map_defun
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  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 sparse_tensor
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 9 for calling the MapDefunTest obj's underlying member method code with example usage: obj.testMapDefunRaisesDefunError() and returns: array_ops