code: def test_sentinels_experiment(env_0):
      # noinspection PyUnusedLocal
      experiment = CVExperiment(
          model_initializer=XGBClassifier,
          model_init_params=dict(
              objective="reg:linear", max_depth=3, subsample=0.5
          ),
          model_extra_params=dict(
              fit=dict(
                  eval_set=get_all_sentinels(env_0),
                  early_stopping_rounds=5,
                  eval_metric="mae",
              )
          ),
      )
  
file_path: hyperparameter_hunter/tests/test_sentinels.py
imports: from hyperparameter_hunter import Environment, CVExperiment, Real, Integer, Categorical, GBRT
  from hyperparameter_hunter import lambda_callback
  from hyperparameter_hunter.sentinels import DatasetSentinel
  from hyperparameter_hunter.settings import G
  from hyperparameter_hunter.utils.learning_utils import get_breast_cancer_data
  import pytest
  import sys
label_desc: Use image node_id 5 for calling a global function with example usage: test_sentinels_experiment(env_0) without return types