code: def test_black_box_loss_regression(
      art_warning, model_type, get_diabetes_dataset
  ):
      try:
          from sklearn import linear_model
  
          (x_train_diabetes, y_train_diabetes), _ = get_diabetes_dataset
          regr_model = linear_model.LinearRegression()
          regr_model.fit(x_train_diabetes, y_train_diabetes)
          regressor = ScikitlearnRegressor(regr_model)
  
          attack = MembershipInferenceBlackBox(
              regressor, input_type="loss", attack_model_type=model_type
          )
          backend_check_membership_accuracy(
              attack, get_diabetes_dataset, attack_train_ratio, 0.25
          )
      except ARTTestException as e:
          art_warning(e)
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import pytest
  import numpy
  import keras
  from art.attacks.inference.membership_inference.black_box import MembershipInferenceBlackBox
  from art.estimators.classification.keras import KerasClassifier
  from art.estimators.estimator import BaseEstimator
  from art.estimators.classification.classifier import ClassifierMixin
  from art.estimators.regression import ScikitlearnRegressor, RegressorMixin
  from tests.attacks.utils import backend_test_classifier_type_check_fail
  from tests.utils import ARTTestException
label_desc: Use image node_id 8 for calling a global function with example usage: test_black_box_loss_regression(art_warning, model_type, get_diabetes_dataset) without return types