code: def raccoon_face_or_skip():
      # SciPy >= 1.10 requires network to access to get data
      if scipy_datasets_require_network:
          run_network_tests = (
              environ.get("SKLEARN_SKIP_NETWORK_TESTS", "1") == "0"
          )
          if not run_network_tests:
              raise SkipTest(
                  "test is enabled when SKLEARN_SKIP_NETWORK_TESTS=0"
              )
  
          try:
              import pooch  # noqa
          except ImportError:
              raise SkipTest("test requires pooch to be installed")
  
          from scipy.datasets import face
      else:
          from scipy.misc import face
  
      return face(gray=True)
  
imports: import builtins
  import platform
  import sys
  from contextlib import suppress
  from functools import wraps
  from os import environ
  from unittest import SkipTest
  import joblib
  import numpy
  import pytest
  from _pytest.doctest import DoctestItem
  from threadpoolctl import threadpool_limits
  from sklearn import config_context, set_config
  from sklearn._min_dependencies import PYTEST_MIN_VERSION
  from sklearn.datasets import fetch_20newsgroups, fetch_20newsgroups_vectorized, fetch_california_housing, fetch_covtype, fetch_kddcup99, fetch_olivetti_faces, fetch_rcv1
  from sklearn.tests import random_seed
  from sklearn.utils import _IS_32BIT
  from sklearn.utils.fixes import np_base_version, parse_version, sp_version
label_desc: Use image node_id 2 for calling a global function with example usage: raccoon_face_or_skip() and returns: face