code: def setUp(self):
      super().setUp()
  
      logits = np.array(
          [[1.0, 1.0, 1.0], [2.0, 0.0, 0.0], [-1.0, -2.0, -3.0]],
          dtype=np.float32,
      )
      old_logits = np.array(
          [[1.0, 1.0, 1.0], [2.0, 0.0, 0.0], [-3.0, -2.0, -1.0]],
          dtype=np.float32,
      )
      self.logits = np.stack([logits, logits])
      self.old_logits = np.stack([old_logits, old_logits])
  
      advantages = np.array([0.3, 0.2, 0.1], dtype=np.float32)
      self.advantages = np.stack([advantages, -advantages])
      self.actions = np.array([[0, 1, 2], [0, 1, 2]], dtype=np.int32)
      self.epsilon = 0.2
      self.expected = np.array([-0.17117467, 0.19333333])
  
imports: import functools
  from absl.testing import absltest
  from absl.testing import parameterized
  import chex
  import jax
  import jax.numpy
  import numpy
  from rlax._src import distributions
  from rlax._src import policy_gradients
label_desc: Use image node_id 1 for calling the ClippedSurrogatePGLossTest obj's underlying member method code with example usage: obj.setUp() without return types