code: def setUp(self):
      self.y = np.asarray([1.0, 2.0, 3.0, 4.0], dtype="f")
      self.t = np.asarray([2.1, 2.2, 2.3, 2.4], dtype="f")
      if self.clip_delta:
          self.gt_losses = np.asarray(
              [_huber_loss_1(a) for a in self.y - self.t]
          )
      else:
          self.gt_losses = np.asarray(
              [0.5 * a**2 for a in self.y - self.t]
          )
  
imports: import unittest
  from chainer import testing
  import numpy
  import basetest_dqn_like
  import chainerrl
  from chainerrl.agents.dqn import compute_value_loss
  from chainerrl.agents.dqn import compute_weighted_value_loss
  from chainerrl.agents.dqn import DQN
  from basetest_training import _TestBatchTrainingMixin
label_desc: Use image node_id 1 for calling the TestComputeValueLoss obj's underlying member method code with example usage: obj.setUp() without return types