system: You are an expert security code reviewer. You will be shown a source code file along with a multiple-choice question listing several function or class names from that file. Your task is to identify which one contains the specified CWE vulnerability.

OUTPUT FORMAT: Respond with the single letter of the correct option, wrapped in \boxed{...}. Example: `\boxed{B}`. Output the boxed letter ONLY -- no explanation, no other text.

user: ```python
import os, sys
import subprocess

import requests, shutil
import json

USER_BASE='/content'

def status():
  print("\nDoing fine\n")
  
  img_path = os.path.join( os.path.dirname(os.path.abspath(__file__)), 'img', 'RedDragon_logo_260x39.png')
  # /content/colab_helper/img/RedDragon_logo_260x39.png
  #print(img_path)
  return
  
  try:
    from IPython.display import Image, display
    return Image(filename=img_path)
  except:
    pass

  
  #return
  
  
def gdrive_mount(point='gdrive', link='my_drive'):
  from google.colab import drive
  drive.mount(point)
  if link is not None:
    # ! ln -s "gdrive/My Drive" my_drive 
    subprocess.run(["ln", "-s", point+"/My Drive", link,])
    print("'%s' mounted as '%s'" % (point+"/My Drive", link,))

def download(url, base_path='.', unwrap=True, dest_path=None):
  if not os.path.exists(base_path):
    os.makedirs(base_path)

  # What type of file are we expecting
  url_path = requests.utils.urlparse( url ).path
  url_file = os.path.basename(url_path)
  urlfilepath = os.path.join(base_path, url_file)
  url_file_l = url_file.lower()
  
  is_zip, is_tar, is_tgz = url_file_l.endswith('.zip'), False, False
  if url_file_l.endswith('.tar'): 
    is_tar=True
  if url_file_l.endswith('.tar.gz') or url_file_l.endswith('.tgz'):
    is_tar, is_tgz=True, True

  fetch_url=True
  if os.path.isfile(urlfilepath):
    fetch_url=False  # No need to fetch
  
  dest_path_full=base_path  # default - but can't check for unwrapping
  if dest_path is not None:
    dest_path_full = os.path.join(base_path, dest_path) 
    
    if is_zip or is_tar: # Unwrappable
      # Does the dest_path have stuff in it?
      if os.path.isdir( dest_path_full ) and len(os.listdir( dest_path_full ))>0:
        print("'%s' already has files in it" % (dest_path_full,))
        return
        
  if not fetch_url:
    print("'%s' already present" % (urlfilepath,))
    pass
    
  else:
    # Download the missing file
    #urllib.request.urlretrieve(url, urlfilepath)
    response = requests.get(url, stream=True)
    if response.status_code == requests.codes.ok:
      print("Downloading %s" % (url,))
      with open(urlfilepath, 'wb') as out_file:
        shutil.copyfileobj(response.raw, out_file)
    else:
      print("FAILED TO DOWNLOAD %s" % (url,))
      return
  
  if unwrap and (is_zip or is_tar):
    if is_zip:
      print("Uncompressing .zip : '%s'" % (urlfilepath,))
      import zipfile
      zipfile.ZipFile(urlfilepath, 'r').extractall(dest_path_full)
    
    if is_tar:
      if is_tgz: 
        tar_flags='r:gz'
        print("Uncompressing .tar.gz : '%s'" % (urlfilepath,))
      else:
        tar_flags='r:'
        print("Unwrapping .tar : '%s'" % (urlfilepath,))
      import tarfile
      tarfile.open(urlfilepath, tar_flags).extractall(dest_path_full)
      #shutil.move(os.path.join(models_dir, models_orig_dir), os.path.join(models_dir, models_here_dir))

    if dest_path is not None and len(os.listdir( dest_path_full ))>0:
      # Something appeared in dest_path : no need for unwrapped file
      print("Deleting '%s'" % (urlfilepath,))
      os.unlink(urlfilepath)

  if len(os.listdir( dest_path_full ))>0:
    print("'%s' now contains data" % (dest_path_full,))  
    pass

"""
if not os.path.isfile( os.path.join(tf_zoo_models_dir, 'models', 'README.md') ):
    print("Cloning tensorflow model zoo under %s" % (tf_zoo_models_dir, ))
    !cd {tf_zoo_models_dir}; git clone https://github.com/tensorflow/models.git

sys.path.append(tf_zoo_models_dir + "/models/research/slim")
"""

def kaggle_credentials(username=None, key=None, file=None):
  """
  Put the kaggle credentials in the right place, 
  with the right permissions.  You can generate the 
  kaggle.json file from the 'My Account' page 
  in the 'API' section using the 'Create New API Token' button, or 
  just use your username with the generated key
  """
  kaggle_path = '/root'+'/.kaggle'  # Must be in /root/ not /content/
  kaggle_file = kaggle_path+'/kaggle.json'
  
  if username is None or key is None:
    if file is None:
      print("Please specify username+key (from Kaggle-My Account page, or file")
      return
    else:
      # use the file provided
      with open(file,'rt') as f:
        data = json.load(f)
        username, key = data['username'], data['key']
        
  data = dict( username=username, key=key )
  
  if not os.path.exists(kaggle_path):
    os.makedirs(kaggle_path)
    
  with open(kaggle_file, 'w') as f:
    json.dump(data, f)
  os.chmod(kaggle_file, 0o600)
  
  print("Credentials written to %s" % (kaggle_file,))



# https://colab.research.google.com/notebooks/io.ipynb#scrollTo=S7c8WYyQdh5i
# Fuse mounting approach :
#   https://cloud.google.com/storage/docs/gcs-fuse
#   https://github.com/GoogleCloudPlatform/gcsfuse/blob/master/docs/installing.md
# More helpful than Google installation instructions...
#   https://github.com/mixuala/colab_utils/blob/master/gcloud.py#L599
def gcs_mount():
  pass


# Show logo on load...

import matplotlib.pyplot as plt
from PIL import Image
import numpy as np

img_path = os.path.join( os.path.dirname(os.path.abspath(__file__)), 'img', 'RedDragon_logo_260x39.png')
pil_im = Image.open(img_path) 
plt.imshow(np.asarray(pil_im))
plt.axis('off')
plt.show()

```

Which of the following functions or classes contains a `CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')` vulnerability?

  A) status
  B) gdrive_mount
  C) download
  D) kaggle_credentials
Answer: C