code: def test_dimensions_can_be_int_or_tuple(image_size, center_crop):
      """When ``config`` is None, ``image_size`` could be either ``int`` or
      ``Tuple[int, int]``."""
  
      get_transforms(
          config=None, image_size=image_size, center_crop=center_crop
      )
      get_transforms(
          config=None, image_size=image_size, center_crop=center_crop
      )
  
file_path: anomalib/tests/pre_merge/pre_processing/transforms/test_transforms.py
imports: import tempfile
  import albumentations
  import numpy
  import pytest
  import skimage
  from torch import Tensor
  from anomalib.data.utils import get_transforms
label_desc: Use image node_id 2 for calling a global function with example usage: test_dimensions_can_be_int_or_tuple(image_size, center_crop) without return types