code: def TestOneInput(input_bytes):
      """Test randomized integer fuzzing input for v1 vs v2 APIs."""
      fh = FuzzingHelper(input_bytes)
  
      # Comparing tf.math.angle with tf.compat.v1.angle.
      input_supported_dtypes = [tf.float32, tf.float64]
      random_dtype_index = fh.get_int(min_int=0, max_int=1)
      input_dtype = input_supported_dtypes[random_dtype_index]
      input_shape = fh.get_int_list(
          min_length=0, max_length=6, min_int=0, max_int=10
      )
      seed = fh.get_int()
      input_tensor = tf.random.uniform(
          shape=input_shape, dtype=input_dtype, seed=seed, maxval=10
      )
      name = fh.get_string(5)
      v2_output = tf.math.angle(input=input_tensor, name=name)
      v1_output = tf.compat.v1.angle(input=input_tensor, name=name)
      try:
          tf.debugging.assert_equal(v1_output, v2_output)
          tf.debugging.assert_equal(v1_output.shape, v2_output.shape)
      except Exception as e:  # pylint: disable=broad-except
          print("Input tensor: {}".format(input_tensor))
          print("Input dtype: {}".format(input_dtype))
          print("v1_output: {}".format(v1_output))
          print("v2_output: {}".format(v2_output))
          raise e
  
      # Comparing tf.debugging.assert_integer with tf.compat.v1.assert_integer.
      x_supported_dtypes = [
          tf.float16,
          tf.float32,
          tf.float64,
          tf.int32,
          tf.int64,
          tf.string,
      ]
      random_dtype_index = fh.get_int(min_int=0, max_int=5)
      x_dtype = x_supported_dtypes[random_dtype_index]
      x_shape = fh.get_int_list(
          min_length=0, max_length=6, min_int=0, max_int=10
      )
      seed = fh.get_int()
      try:
          x = tf.random.uniform(
              shape=x_shape, dtype=x_dtype, seed=seed, maxval=10
          )
      except ValueError:
          x = tf.constant(["test_string"])
      message = fh.get_string(128)
      name = fh.get_string(128)
      try:
          v2_output = tf.debugging.assert_integer(
              x=x, message=message, name=name
          )
      except Exception as e:  # pylint: disable=broad-except
          v2_output = e
      try:
          v1_output = tf.compat.v1.assert_integer(
              x=x, message=message, name=name
          )
      except Exception as e:  # pylint: disable=broad-except
          v1_output = e
  
      if v1_output and v2_output:
          assert type(v2_output) == type(
              v1_output
          )  # pylint: disable=unidiomatic-typecheck
          assert v2_output.args == v1_output.args
  
label_desc: Use image node_id 1 for calling a global function with example usage: TestOneInput(input_bytes) without return types