code: def test_train_process(self):
      self._metric.train()
      result = self._metric.process(self._state)
      for i in range(0, len(self._targets)):
          self.assertEqual(
              result[i],
              self._targets[i],
              msg="returned: "
              + str(result[i])
              + " expected: "
              + str(self._targets[i])
              + " in: "
              + str(result),
          )
  
imports: import unittest
  import torch
  from torch.autograd import Variable
  import torchbearer
  from torchbearer.metrics import Loss, Epoch, CategoricalAccuracy, TopKCategoricalAccuracy, BinaryAccuracy, MeanSquaredError
label_desc: Use image node_id 3 for calling the TestTopKCategoricalAccuracy obj's underlying member method code with example usage: obj.test_train_process() without return types