code: def get_model_files(
      model_type: str, frameworks: Optional[List[str]] = None
  ) -> Dict[str, Union[Path, List[Path]]]:
      """
      Retrieves all the files associated to a model.
  
      Args:
          model_type (`str`): A valid model type (like "bert" or "gpt2")
          frameworks (`List[str]`, *optional*):
              If passed, will only keep the model files corresponding to the passed frameworks.
  
      Returns:
          `Dict[str, Union[Path, List[Path]]]`: A dictionary with the following keys:
          - **doc_file** -- The documentation file for the model.
          - **model_files** -- All the files in the model module.
          - **test_files** -- The test files for the model.
      """
      module_name = model_type_to_module_name(model_type)
  
      model_module = TRANSFORMERS_PATH / "models" / module_name
      model_files = list(model_module.glob("*.py"))
      model_files = filter_framework_files(
          model_files, frameworks=frameworks
      )
  
      doc_file = (
          REPO_PATH
          / "docs"
          / "source"
          / "en"
          / "model_doc"
          / f"{model_type}.md"
      )
  
      # Basic pattern for test files
      test_files = [
          f"test_modeling_{module_name}.py",
          f"test_modeling_tf_{module_name}.py",
          f"test_modeling_flax_{module_name}.py",
          f"test_tokenization_{module_name}.py",
          f"test_image_processing_{module_name}.py",
          f"test_feature_extraction_{module_name}.py",
          f"test_processor_{module_name}.py",
      ]
      test_files = filter_framework_files(
          test_files, frameworks=frameworks
      )
      # Add the test directory
      test_files = [
          REPO_PATH / "tests" / "models" / module_name / f
          for f in test_files
      ]
      # Filter by existing files
      test_files = [f for f in test_files if f.exists()]
  
      return {
          "doc_file": doc_file,
          "model_files": model_files,
          "module_name": module_name,
          "test_files": test_files,
      }
  
imports: import difflib
  import json
  import os
  import re
  from argparse import ArgumentParser, Namespace
  from dataclasses import dataclass
  from datetime import date
  from itertools import chain
  from pathlib import Path
  from typing import Any, Callable, Dict, List, Optional, Pattern, Tuple, Union
  import yaml
  from ..models import auto
  from ..models.auto.configuration_auto import model_type_to_module_name
  from ..utils import is_flax_available, is_tf_available, is_torch_available, logging
  from .None import BaseTransformersCLICommand
label_desc: Use image node_id 13 for calling a global function with example usage: get_model_files(model_type, frameworks) and returns: dict