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