code: def load_url_arff(
      url: str, dtype: Type[np.generic] = np.float32
  ) -> np.ndarray:
      """
      Load arff files from url.
  
      Parameters
      ----------
      url
          Address of arff file.
  
      Returns
      -------
      Arrays with data and labels.
      """
      try:
          resp = requests.get(url, timeout=TIMEOUT)
          resp.raise_for_status()
      except RequestException:
          logger.exception(
              "Could not connect, URL may be out of service"
          )
          raise
      data = arff.loadarff(io.StringIO(resp.text))[0]
      return np.array(data.tolist(), dtype=dtype)
  
imports: import io
  import logging
  from io import BytesIO
  from typing import List, Tuple, Type, Union
  from xml.etree import ElementTree
  import dill
  import numpy
  import pandas
  import requests
  from alibi_detect.utils.data import Bunch
  from alibi_detect.utils.url import _join_url
  from requests import RequestException
  from urllib.error import URLError
  from scipy.io import arff
  from sklearn.datasets import fetch_kddcup99
label_desc: Use image node_id 2 for calling a global function with example usage: load_url_arff(url, dtype) and returns: np