code: def test_prepare(self):
      x1 = numpy.random.uniform(0, 255, (320, 240, 3)).astype(
          numpy.uint8
      )
      x2 = numpy.random.uniform(0, 255, (320, 240)).astype(numpy.uint8)
      x3 = numpy.random.uniform(0, 255, (160, 120, 3)).astype(
          self.dtype
      )
      x4 = numpy.random.uniform(0, 255, (1, 160, 120)).astype(
          self.dtype
      )
      x5 = numpy.random.uniform(0, 255, (3, 160, 120)).astype(
          numpy.uint8
      )
  
      y1 = googlenet.prepare(x1)
      assert y1.shape == (3, 224, 224)
      assert y1.dtype, self.dtype
      y2 = googlenet.prepare(x2)
      assert y2.shape == (3, 224, 224)
      assert y2.dtype, self.dtype
      y3 = googlenet.prepare(x3, size=None)
      assert y3.shape == (3, 160, 120)
      assert y3.dtype, self.dtype
      y4 = googlenet.prepare(x4)
      assert y4.shape == (3, 224, 224)
      assert y4.dtype, self.dtype
      y5 = googlenet.prepare(x5, size=None)
      assert y5.shape == (3, 160, 120)
      assert y5.dtype, self.dtype
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer.links.model.vision import googlenet
  from chainer.links.model.vision import resnet
  from chainer.links.model.vision import vgg
  from chainer import testing
  from chainer.testing import attr
  from chainer.variable import Variable
label_desc: Use image node_id 9 for calling the TestGoogLeNet obj's underlying member method code with example usage: obj.test_prepare() without return types