code: def setup(self):
      y_true = np.asarray([[1, 9, 2], [-5, -2, 6]], dtype=np.float32)
      y_pred = np.asarray([[4, 8, 12], [8, 1, 3]], dtype=np.float32)
  
      self.batch_size = 6
      error = y_pred - y_true
      self.expected_results = np.log(
          (np.exp(error) + np.exp(-error)) / 2
      )
  
      self.y_pred = y_pred
      self.y_true = y_true
  
imports: import numpy
  from absl.testing import parameterized
  from keras import testing
  from keras.metrics import regression_metrics
label_desc: Use image node_id 1 for calling the LogCoshErrorTest obj's underlying member method code with example usage: obj.setup() without return types