code: def test_evaluate(self):
      reporter = chainer.Reporter()
      reporter.add_observer("target", self.target)
      with reporter:
          self.evaluator.evaluate()
  
      # The model gets results of converter.
      self.assertEqual(len(self.target.args), len(self.batches))
      for i in range(len(self.batches)):
          numpy.testing.assert_array_equal(
              self.target.args[i], self.batches[i]
          )
  
imports: import unittest
  import numpy
  import chainer
  from chainer import backend
  from chainer.backends import _cpu
  from chainer import dataset
  from chainer import iterators
  from chainer import testing
  from chainer.training import extensions
label_desc: Use image node_id 2 for calling the TestEvaluatorWithEvalFunc obj's underlying member method code with example usage: obj.test_evaluate() without return types