code: def _decode(self, loc, obj, conf):
      locs = to_cpu(self._locs)
      objs = to_cpu(self._objs)
      confs = to_cpu(self._confs)
  
      loc = to_cpu(loc)
      obj = to_cpu(obj)
      conf = to_cpu(conf)
  
      if not hasattr(self, "_count"):
          self._count = 0
      np.testing.assert_equal(loc, locs[self._count])
      np.testing.assert_equal(obj, objs[self._count])
      np.testing.assert_equal(conf, confs[self._count])
      self._count += 1
  
      n_bbox = np.random.randint(self._n_anchor - 1)
      bbox = generate_random_bbox(
          n_bbox, (self._insize, self._insize), 8, 48
      )
      label = np.random.randint(
          self._n_fg_class - 1, size=n_bbox
      ).astype(np.int32)
      score = np.random.uniform(size=n_bbox).astype(np.float32)
      return bbox, label, score
  
imports: import mock
  import numpy
  import unittest
  import chainer
  from chainer.backends.cuda import to_cpu
  from chainer import testing
  from chainer.testing import attr
  from chainercv.links.model.yolo import YOLOBase
  from chainercv.utils import assert_is_detection_link
  from chainercv.utils import generate_random_bbox
label_desc: Use image node_id 3 for calling the DummyYOLO obj's underlying member method code with example usage: obj._decode(loc, obj, conf) and returns: bbox,  label,  score