code: def setUp(self):
      self.dir_path = tempfile.mkdtemp("evaluator_trainer_parity_test")
  
      transformers_version = transformers.__version__
      branch = ""
      if not transformers_version.endswith(".dev0"):
          branch = f"--branch v{transformers_version}"
      subprocess.run(
          f"git clone --depth 3 --filter=blob:none --sparse {branch} https://github.com/huggingface/transformers",
          shell=True,
          cwd=self.dir_path,
      )
  
imports: import json
  import os
  import shutil
  import subprocess
  import tempfile
  import unittest
  import numpy
  import torch
  import transformers
  from datasets import load_dataset
  from transformers import AutoFeatureExtractor, AutoModelForImageClassification, Trainer, TrainingArguments, pipeline
  from evaluate import evaluator, load
  from .utils import slow
label_desc: Use image node_id 1 for calling the TestEvaluatorTrainerParity obj's underlying member method code with example usage: obj.setUp() without return types