code: def download_model_with_test_data(
      model: str,
      repo: str = "onnx/models:main",
      opset: Optional[int] = None,
      force_reload: bool = False,
      silent: bool = False,
  ) -> Optional[str]:
      """Downloads a model along with test data by name from the onnx model hub and returns the directory to which the files have been extracted.
  
      Args:
          model: The name of the onnx model in the manifest. This field is
              case-sensitive
          repo: The location of the model repo in format
              "user/repo[:branch]". If no branch is found will default to
              "main"
          opset: The opset of the model to download. The default of `None`
              automatically chooses the largest opset
          force_reload: Whether to force the model to re-download even if
              its already found in the cache
          silent: Whether to suppress the warning message if the repo is
              not trusted.
  
      Returns:
          str or None
      """
      selected_model = get_model_info(model, repo, opset)
  
      local_model_with_data_path_arr = selected_model.metadata[
          "model_with_data_path"
      ].split("/")
  
      model_with_data_sha = selected_model.metadata[
          "model_with_data_sha"
      ]
  
      if model_with_data_sha is not None:
          local_model_with_data_path_arr[
              -1
          ] = f"{model_with_data_sha}_{local_model_with_data_path_arr[-1]}"
      local_model_with_data_path = join(
          _ONNX_HUB_DIR, os.sep.join(local_model_with_data_path_arr)
      )
  
      if force_reload or not os.path.exists(local_model_with_data_path):
          if not _verify_repo_ref(repo) and not silent:
              msg = f"The model repo specification {repo} is not trusted and may contain security vulnerabilities. Only continue if you trust this repo."
  
              print(msg, file=sys.stderr)
              print("Continue?[y/n]")
              if input().lower() != "y":
                  return None
  
          os.makedirs(
              os.path.dirname(local_model_with_data_path), exist_ok=True
          )
          lfs_url = _get_base_url(repo, True)
          print(
              f"Downloading {model} to local path {local_model_with_data_path}"
          )
          _download_file(
              lfs_url + selected_model.metadata["model_with_data_path"],
              local_model_with_data_path,
          )
      else:
          print(
              f"Using cached {model} model from {local_model_with_data_path}"
          )
  
      with open(local_model_with_data_path, "rb") as f:
          model_with_data_bytes = f.read()
  
      if model_with_data_sha is not None:
          downloaded_sha = hashlib.sha256(
              model_with_data_bytes
          ).hexdigest()
          if not downloaded_sha == model_with_data_sha:
              raise AssertionError(
                  f"The cached model {selected_model.model} has SHA256 {downloaded_sha} "
                  f"while checksum should be {model_with_data_sha}. "
                  "The model in the hub may have been updated. Use force_reload to "
                  "download the model from the model hub."
              )
  
      with tarfile.open(
          local_model_with_data_path
      ) as model_with_data_zipped:
          # FIXME: Avoid index manipulation with magic numbers
          local_model_with_data_dir_path = local_model_with_data_path[
              0 : len(local_model_with_data_path) - 7
          ]
          model_with_data_zipped.extractall(
              local_model_with_data_dir_path
          )
      model_with_data_path = (
          local_model_with_data_dir_path
          + "/"
          + os.listdir(local_model_with_data_dir_path)[0]
      )
  
      return model_with_data_path
  
imports: import hashlib
  import json
  import os
  import sys
  import tarfile
  from io import BytesIO
  from os.path import join
  from typing import IO, Any, Dict, List, Optional, Set, Tuple, cast
  from urllib.error import HTTPError
  from urllib.request import urlopen
  import onnx
label_desc: Use image node_id 10 for calling a global function with example usage: download_model_with_test_data(model, repo, opset, force_reload, silent) and returns: model_with_data_path, None