code: def no_collation(x):
      return x
  
imports: from __future__ import annotations
  import random
  import sys
  import unittest
  from copy import deepcopy
  from functools import partial
  from typing import TYPE_CHECKING
  from unittest.case import skipUnless
  import numpy
  import torch
  from parameterized import parameterized
  from monai.data import CacheDataset, DataLoader, MetaTensor, create_test_image_2d, create_test_image_3d, decollate_batch
  from monai.networks.nets import UNet
  from monai.transforms import Affined, BorderPadd, CenterScaleCropd, CenterSpatialCropd, Compose, CropForegroundd, DivisiblePadd, EnsureChannelFirstd, Flipd, FromMetaTensord, InvertibleTransform, Lambdad, LoadImaged, Orientationd, RandAffined, RandAxisFlipd, RandCropByLabelClassesd, RandCropByPosNegLabeld, RandFlipd, RandLambdad, Randomizable, RandRotate90d, RandRotated, RandSpatialCropd, RandSpatialCropSamplesd, RandWeightedCropd, RandZoomd, Resized, ResizeWithPadOrCrop, ResizeWithPadOrCropd, Rotate90d, Rotated, Spacingd, SpatialCropd, SpatialPadd, ToMetaTensord, Transposed, Zoomd, allow_missing_keys_mode, convert_applied_interp_mode, reset_ops_id
  from monai.utils import first, get_seed, optional_import, set_determinism
  from tests.utils import make_nifti_image, make_rand_affine
label_desc: Use image node_id 1 for calling a global function with example usage: no_collation(x) and returns: x