code: def test_clip(self):
      th_boxes = torch.Tensor([10, 10, 20, 20]).reshape(1, 1, 4)
      img_shape = [13, 14]
      boxes = HorizontalBoxes(th_boxes)
      boxes.clip_(img_shape)
      cliped_boxes_th = torch.Tensor([10, 10, 14, 13]).reshape(1, 1, 4)
      assert_allclose(boxes.tensor, cliped_boxes_th)
  
imports: import random
  from math import sqrt
  from unittest import TestCase
  import cv2
  import numpy
  import torch
  from mmengine.testing import assert_allclose
  from mmdet.structures.bbox import HorizontalBoxes
  from mmdet.structures.mask import BitmapMasks, PolygonMasks
label_desc: Use image node_id 6 for calling the TestHorizontalBoxes obj's underlying member method code with example usage: obj.test_clip() without return types