code: def transforms_config() -> dict:
      """Note: this is computed using trainer.datamodule.test_data.transform.to_dict()"""
      return A.Compose(
          [A.ToFloat(max_value=255), ToTensorV2()]
      ).to_dict()
  
file_path: anomalib/tests/pre_merge/tools/conftest.py
imports: from __future__ import annotations
  from tempfile import TemporaryDirectory
  from typing import Generator
  import albumentations
  import cv2
  import numpy
  import pytest
  from albumentations.pytorch import ToTensorV2
  from anomalib.config import get_configurable_parameters
label_desc: Use image node_id 4 for calling a global function with example usage: transforms_config() and returns: A