code: def test_horizontal_flip_with_boxes(self):
      video = thwc_to_cthw(create_dummy_video_frames(10, 20, 40)).to(
          dtype=torch.float32
      )
      boxes_inp = create_random_bbox(7, 20, 40)
  
      actual, boxes = horizontal_flip_with_boxes(0.0, video, boxes_inp)
      self.assertTrue(actual.equal(video))
      self.assertTrue(boxes.equal(boxes_inp))
  
      actual, boxes = horizontal_flip_with_boxes(1.0, video, boxes_inp)
      self.assertEqual(actual.shape, video.shape)
      self._check_boxes(7, actual.shape[-2], actual.shape[-1], boxes)
      self.assertTrue(actual.flip((-1)).equal(video))
  
imports: import unittest
  from collections import Counter
  from itertools import permutations
  import numpy
  import torch
  from pytorchvideo.data.utils import thwc_to_cthw
  from pytorchvideo.transforms import ApplyTransformToKey, AugMix, create_video_transform, CutMix, MixUp, MixVideo, Normalize, OpSampler, Permute, RandAugment, RandomResizedCrop, RandomShortSideScale, ShortSideScale, UniformCropVideo, UniformTemporalSubsample
  from pytorchvideo.transforms.functional import clip_boxes_to_image, convert_to_one_hot, div_255, horizontal_flip_with_boxes, random_crop_with_boxes, random_short_side_scale_with_boxes, short_side_scale, short_side_scale_with_boxes, uniform_crop, uniform_crop_with_boxes, uniform_temporal_subsample, uniform_temporal_subsample_repeated
  from torchvision.transforms import Compose
  from torchvision.transforms._transforms_video import CenterCropVideo, NormalizeVideo, RandomCropVideo, RandomHorizontalFlipVideo
  from utils import create_dummy_video_frames, create_random_bbox
label_desc: Use image node_id 18 for calling the TestTransforms obj's underlying member method code with example usage: obj.test_horizontal_flip_with_boxes() without return types