code: def setUp(self):
      self.data = [
          numpy.random.uniform(-1, 1, (3, 4)).astype("f")
          for _ in range(2)
      ]
      self.batches = [
          (
              numpy.random.uniform(-1, 1, (2, 3, 4)).astype("f"),
              numpy.random.uniform(-1, 1, (2, 3, 4)).astype("f"),
          )
          for _ in range(2)
      ]
  
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 1 for calling the TestEvaluatorTupleData obj's underlying member method code with example usage: obj.setUp() without return types