code: def load_genome_npz(
      fold: str, return_labels: bool = False
  ) -> Union[
      Tuple[np.ndarray, np.ndarray],
      Tuple[np.ndarray, np.ndarray, np.ndarray],
  ]:
      url = "https://storage.googleapis.com/seldon-datasets/genome/"
      path_data = _join_url(url, fold + ".npz")
      try:
          resp = requests.get(path_data, timeout=TIMEOUT)
          resp.raise_for_status()
      except RequestException:
          logger.exception(
              "Could not connect, URL may be out of service"
          )
          raise
      data = np.load(BytesIO(resp.content))
      if return_labels:
          return data["x"], data["is_outlier"], data["y"]
      else:
          return data["x"], data["is_outlier"]
  
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 10 for calling a global function with example usage: load_genome_npz(fold, return_labels) and returns: data,  data,  data, data,  data