code: def test_keypoints_transform_crop_error(coco_keypoints_parser):
      records = coco_keypoints_parser.parse(
          data_splitter=SingleSplitSplitter()
      )[0]
      tfm = tfms.A.Adapter(
          [*tfms.A.aug_tfms(size=384, presize=512), tfms.A.Normalize()]
      )
  
      tfm_ds = Dataset(records, tfm=tfm)
      with pytest.raises(RuntimeError):
          tfm_ds[0]
  
file_path: icevision/tests/transforms/test_albu_transform.py
imports: from icevision.tfms.albumentations.albumentations_adapter import AlbumentationsMasksComponent
  import pytest
  from icevision.all import *
  from albumentations import LongestMaxSize, Normalize, PadIfNeeded
  from icevision.tfms.albumentations.albumentations_helpers import get_size_without_padding, get_transform
label_desc: Use image node_id 8 for calling a global function with example usage: test_keypoints_transform_crop_error(coco_keypoints_parser) without return types