code: def coco_train_brightness_bias(
      coco_visiondata_train,
  ):  # pylint: disable=redefined-outer-name
      def coco_collate_with_bias(data):
          raw_images = [x[0] for x in data]
          images = [np.array(x) for x in raw_images]
  
          def move_class(tensor):
              return (
                  torch.index_select(
                      tensor,
                      1,
                      torch.LongTensor([4, 0, 1, 2, 3]).to(
                          tensor.device
                      ),
                  )
                  if len(tensor) > 0
                  else tensor
              )
  
          labels = [move_class(x[1]) for x in data]
          for i, bboxes_per_image in enumerate(labels):
              for bbox in bboxes_per_image:
                  if bbox[0] > 40:
                      x, y, w, h = [round(float(n)) for n in bbox[1:]]
                      images[i][y : y + h, x : x + w] = images[i][
                          y : y + h, x : x + w
                      ].clip(min=200)
          return {"images": images, "labels": labels}
  
      return replace_collate_fn_visiondata(
          coco_visiondata_train, coco_collate_with_bias
      )
  
imports: import pathlib
  import numpy
  import pytest
  import torch
  from torch.utils.data import DataLoader, Dataset
  from deepchecks.vision.context import Context
  from deepchecks.vision.datasets.classification.mnist_torch import collate_without_model
  from deepchecks.vision.datasets.classification.mnist_torch import deepchecks_collate
  from deepchecks.vision.datasets.classification.mnist_torch import load_dataset
  from deepchecks.vision.datasets.classification.mnist_torch import load_model
  from deepchecks.vision.datasets.detection import coco_tensorflow
  from deepchecks.vision.datasets.detection.coco_torch import collate_without_model
  from deepchecks.vision.datasets.detection.coco_torch import load_dataset
  from deepchecks.vision.datasets.segmentation.segmentation_coco import load_dataset
  from deepchecks.vision.utils.test_utils import replace_collate_fn_dataloader, replace_collate_fn_visiondata, un_normalize_batch
  from deepchecks.vision.vision_data import TaskType, VisionData
  from deepchecks.vision.vision_data.batch_wrapper import BatchWrapper
  from deepchecks.vision.vision_data.utils import set_seeds
label_desc: Use image node_id 26 for calling a global function with example usage: coco_train_brightness_bias(coco_visiondata_train) and returns: replace_collate_fn_visiondata, dict, unknown