code: def test_no_attack(self):
      x = tf.random.uniform(shape=self.batched_input_shape)
      y = tf.random.categorical(
          tf.zeros([self.batch_size, self.num_classes]), 1
      )
      attack = attacks.construct_attack("none")
      adv_x = attack.attack(
          tf.constant(x),
          tf.constant(y),
          self.model,
          self.loss_fn,
          random_start=True,
      )
      self.assertAllClose(x, adv_x)
  
file_path: neural-structured-learning/research/multi_representation_adversary/multi_representation_adversary/attacks_test.py
imports: from absl.testing import parameterized
  import gin
  from multi_representation_adversary import attacks
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 5 for calling the AttacksTest obj's underlying member method code with example usage: obj.test_no_attack() without return types