code: def test_collate_fn(
      batch_size, boxes_present, other_present, boxes_entry, other_entry
  ):
      """Tests the custom collate function used by the anomalib dataloaders"""
  
      batch = []
      for _ in range(batch_size):
          elem = {}
          if boxes_present:
              elem.update(boxes_entry)
          if other_present:
              elem.update(other_entry)
          batch.append(elem)
  
      collated_batch = collate_fn(batch)
      if boxes_present:
          assert isinstance(collated_batch["boxes"], List)
          assert isinstance(collated_batch["boxes"][0], Tensor)
      if other_present:
          assert isinstance(collated_batch["other"], Tensor)
  
file_path: anomalib/tests/pre_merge/datasets/test_collate.py
imports: from typing import List
  import pytest
  import torch
  from torch import Tensor
  from anomalib.data.base.datamodule import collate_fn
label_desc: Use image node_id 3 for calling a global function with example usage: test_collate_fn(batch_size, boxes_present, other_present, boxes_entry, other_entry) without return types