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,
      )
      self.logits = np.stack([logits, logits + 1.0])
      weights = np.array([-2.0, 2.0, 0], dtype=np.float32)
      self.weights = np.stack([weights, weights - 1.0])
  
      self.expected = np.array([0.288693, 1.15422], dtype=np.float32)
  
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 EntropyLossTest obj's underlying member method code with example usage: obj.setUp() without return types