code: def validate_file(
      file_obj: Any, hash_value: str, hash_type: str = "sha256"
  ) -> bool:
      """Validate a given file object with its hash.
  
      Args:
          file_obj: File object to read from.
          hash_value (str): Hash for url.
          hash_type (str, optional): Hash type, among "sha256" and "md5" (Default: ``"sha256"``).
  
      Returns:
          bool: return True if its a valid file, else False.
      """
  
      if hash_type == "sha256":
          hash_func = hashlib.sha256()
      elif hash_type == "md5":
          hash_func = hashlib.md5()
      else:
          raise ValueError
  
      while True:
          # Read by chunk to avoid filling memory
          chunk = file_obj.read(1024**2)
          if not chunk:
              break
          hash_func.update(chunk)
  
      return hash_func.hexdigest() == hash_value
  
file_path: TTS/TTS/utils/download.py
imports: import hashlib
  import logging
  import os
  import tarfile
  import urllib
  import urllib.request
  import zipfile
  from os.path import expanduser
  from typing import Any, Iterable, List, Optional
  from torch.utils.model_zoo import tqdm
label_desc: Use image node_id 3 for calling a global function with example usage: validate_file(file_obj, hash_value, hash_type) and returns: unknown