code: def test_uniform_crop_transform(self):
      video = thwc_to_cthw(create_dummy_video_frames(10, 30, 40)).to(
          dtype=torch.float32
      )
      test_clip = {"video": video, "aug_index": 1, "label": 0}
  
      transform = UniformCropVideo(20)
  
      actual = transform(test_clip)
      c, t, h, w = actual["video"].shape
      self.assertEqual(c, 3)
      self.assertEqual(t, 10)
      self.assertEqual(h, 20)
      self.assertEqual(w, 20)
      self.assertTrue(actual["video"].equal(video[:, :, 5:25, 10:30]))
  
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 16 for calling the TestTransforms obj's underlying member method code with example usage: obj.test_uniform_crop_transform() without return types