code: def _download(url: str, root: str):
      os.makedirs(root, exist_ok=True)
      filename = os.path.basename(url)
  
      expected_sha256 = url.split("/")[-2]
      download_target = os.path.join(root, filename)
  
      if os.path.exists(download_target) and not os.path.isfile(
          download_target
      ):
          raise RuntimeError(
              f"{download_target} exists and is not a regular file"
          )
  
      if os.path.isfile(download_target):
          if (
              hashlib.sha256(
                  open(download_target, "rb").read()
              ).hexdigest()
              == expected_sha256
          ):
              return download_target
          else:
              warnings.warn(
                  f"{download_target} exists, but the SHA256 checksum does not match; re-downloading the file"
              )
  
      with urllib.request.urlopen(url) as source, open(
          download_target, "wb"
      ) as output:
          with tqdm(
              total=int(source.info().get("Content-Length")),
              ncols=80,
              unit="iB",
              unit_scale=True,
              unit_divisor=1024,
          ) as loop:
              while True:
                  buffer = source.read(8192)
                  if not buffer:
                      break
  
                  output.write(buffer)
                  loop.update(len(buffer))
  
      if (
          hashlib.sha256(open(download_target, "rb").read()).hexdigest()
          != expected_sha256
      ):
          raise RuntimeError(
              "Model has been downloaded but the SHA256 checksum does not not match"
          )
  
      return download_target
  
file_path: consistencydecoder/consistencydecoder/__init__.py
imports: import hashlib
  import math
  import os
  import urllib
  import warnings
  import torch
  from tqdm import tqdm
label_desc: Use image node_id 3 for calling a global function with example usage: _download(url, root) and returns: download_target, download_target