code: def TestOneInput(data):
      """Test randomized fuzzing input for tf.raw_ops.Acos."""
      fh = FuzzingHelper(data)
  
      # tf.raw_ops.Acos takes tf.bfloat16, tf.half, tf.float32, tf.float64, tf.int8,
      # tf.int16, tf.int32, tf.int64, tf.complex64, tf.complex128, but
      # get_random_numeric_tensor only generates tf.float16, tf.float32, tf.float64,
      # tf.int32, tf.int64
      input_tensor = fh.get_random_numeric_tensor()
      _ = tf.raw_ops.Acos(x=input_tensor)
  
label_desc: Use image node_id 1 for calling a global function with example usage: TestOneInput(data) without return types