code: def setUp(self):
      self.bbox = generate_random_bbox(6000, (600, 800), 32, 512)
      self.score = np.random.uniform(0, 100, size=(len(self.bbox),))
      self.limit = 100
      self.threshold = 0.5
  
imports: import unittest
  import numpy
  from chainer.backends import cuda
  from chainer import testing
  from chainer.testing import attr
  from chainercv.utils import generate_random_bbox
  from chainercv.utils import non_maximum_suppression
label_desc: Use image node_id 1 for calling the TestNonMaximumSuppressionOptions obj's underlying member method code with example usage: obj.setUp() without return types