code: def forward_expected(self, inputs):
      y_expect = numpy.zeros(self.output_shape, dtype=numpy.float32)
      y_expect[:, :, 0, 0] = 1
      y_expect[:, :, 1, 0] = 2
      y_expect[:, :, 0, 1] = 3
      y_expect[:, :, 1, 1] = (4,)
      return (y_expect,)
  
imports: import unittest
  import numpy
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 2 for calling the TestResizeImagesForwardDownScale obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: y_expect