code: def test_retrieve_info_for_model_with_vit(self):
      vit_info = retrieve_info_for_model("vit")
      vit_classes = ["ViTForImageClassification", "ViTModel"]
      expected_model_classes = {
          "pt": set(vit_classes),
          "tf": {f"TF{m}" for m in vit_classes},
          "flax": {f"Flax{m}" for m in vit_classes},
      }
  
      self.assertEqual(
          set(vit_info["frameworks"]), {"pt", "tf", "flax"}
      )
      model_classes = {
          k: set(v) for k, v in vit_info["model_classes"].items()
      }
      self.assertEqual(model_classes, expected_model_classes)
  
      all_vit_files = vit_info["model_files"]
      model_files = {
          str(Path(f).relative_to(REPO_PATH))
          for f in all_vit_files["model_files"]
      }
      self.assertEqual(model_files, VIT_MODEL_FILES)
  
      test_files = {
          str(Path(f).relative_to(REPO_PATH))
          for f in all_vit_files["test_files"]
      }
      vit_test_files = {
          "tests/test_feature_extraction_vit.py",
          "tests/test_modeling_vit.py",
          "tests/test_modeling_tf_vit.py",
          "tests/test_modeling_flax_vit.py",
      }
      self.assertEqual(test_files, vit_test_files)
  
      doc_file = str(
          Path(all_vit_files["doc_file"]).relative_to(REPO_PATH)
      )
      self.assertEqual(doc_file, "docs/source/model_doc/vit.mdx")
  
      self.assertEqual(all_vit_files["module_name"], "vit")
  
      vit_model_patterns = vit_info["model_patterns"]
      self.assertEqual(vit_model_patterns.model_name, "ViT")
      self.assertEqual(
          vit_model_patterns.checkpoint, "google/vit-base-patch16-224"
      )
      self.assertEqual(vit_model_patterns.model_type, "vit")
      self.assertEqual(vit_model_patterns.model_lower_cased, "vit")
      self.assertEqual(vit_model_patterns.model_camel_cased, "ViT")
      self.assertEqual(vit_model_patterns.model_upper_cased, "VIT")
      self.assertEqual(vit_model_patterns.config_class, "ViTConfig")
      self.assertEqual(
          vit_model_patterns.feature_extractor_class,
          "ViTFeatureExtractor",
      )
      self.assertIsNone(vit_model_patterns.tokenizer_class)
      self.assertIsNone(vit_model_patterns.processor_class)
  
imports: import os
  import re
  import tempfile
  import unittest
  from pathlib import Path
  import transformers
  from transformers.commands.add_new_model_like import ModelPatterns, _re_class_func, add_content_to_file, add_content_to_text, clean_frameworks_in_init, duplicate_doc_file, duplicate_module, filter_framework_files, find_base_model_checkpoint, get_model_files, get_module_from_file, parse_module_content, replace_model_patterns, retrieve_info_for_model, retrieve_model_classes, simplify_replacements
  from transformers.testing_utils import require_flax, require_tf, require_torch
label_desc: Use image node_id 21 for calling the TestAddNewModelLike obj's underlying member method code with example usage: obj.test_retrieve_info_for_model_with_vit() without return types