code: def test_huber_loss_scalar(self):
      huber_loss = self.variant(self.loss_fn)
      x = jnp.array(0.5)
      # Test output.
      np.testing.assert_allclose(huber_loss(x), 0.125)
  
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 clipping
label_desc: Use image node_id 2 for calling the HuberLossTest obj's underlying member method code with example usage: obj.test_huber_loss_scalar() without return types