code: def testEncodeDecodeRandomizedValues(self):
      for i in range(1, 2000, 117):
          gt_boxes = generate_gt_boxes(i, image_size=800)
          proposals = generate_gt_boxes(i, image_size=800)
          self._encode_decode(proposals, gt_boxes)
  
file_path: luminoth/luminoth/utils/bbox_transform_test.py
imports: import numpy
  import tensorflow
  from luminoth.utils.bbox_transform import encode, decode, clip_boxes
  from luminoth.utils.bbox_transform_tf import encode, decode, clip_boxes
  from luminoth.utils.test.gt_boxes import generate_gt_boxes
label_desc: Use image node_id 8 for calling the BBoxTransformTest obj's underlying member method code with example usage: obj.testEncodeDecodeRandomizedValues() without return types