code: def test_clip_area_arbitrary_angle(self):
      num_boxes = 100
      boxes_5d = torch.zeros(num_boxes, 5)
      boxes_5d[:, 0] = torch.FloatTensor(num_boxes).uniform_(-100, 500)
      boxes_5d[:, 1] = torch.FloatTensor(num_boxes).uniform_(-100, 500)
      boxes_5d[:, 2] = torch.FloatTensor(num_boxes).uniform_(0, 500)
      boxes_5d[:, 3] = torch.FloatTensor(num_boxes).uniform_(0, 500)
      boxes_5d[:, 4] = torch.FloatTensor(num_boxes).uniform_(
          -1800, 1800
      )
      clip_angle_threshold = random.uniform(0, 180)
  
      image_size = (500, 600)
      test_boxes_5d = RotatedBoxes(boxes_5d)
      # Before clip
      areas_before = test_boxes_5d.area()
      # After clip
      test_boxes_5d.clip(image_size, clip_angle_threshold)
      areas_diff = test_boxes_5d.area() - areas_before
  
      # the areas should only decrease after clipping
      self.assertTrue(torch.all(areas_diff <= 0))
      # whenever the box is clipped (thus the area shrinks),
      # the angle for the box must be within the clip_angle_threshold
      # Note that the clip function will normalize the angle range
      # to be within (-180, 180]
  
      self.assertTrue(
          torch.all(
              torch.abs(
                  test_boxes_5d.tensor[:, 4][
                      torch.where(areas_diff < 0)
                  ]
              )
              < clip_angle_threshold
          )
      )
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import math
  import random
  import unittest
  import torch
  from fvcore.common.benchmark import benchmark
  from detectron2.layers.rotated_boxes import pairwise_iou_rotated
  from detectron2.structures.boxes import Boxes
  from detectron2.structures.rotated_boxes import RotatedBoxes, pairwise_iou
  from detectron2.utils.testing import reload_script_model
label_desc: Use image node_id 2 for calling the TestRotatedBoxesStructure obj's underlying member method code with example usage: obj.test_clip_area_arbitrary_angle() without return types