code: def test_environment_init_cross_experiment_params(
      runs, cv_type, _cv_params, expected
  ):
      env = Environment(
          **dict(
              default_env_params,
              **dict(
                  runs=runs,
                  cross_validation_type=cv_type,
                  cross_validation_params=_cv_params,
              ),
          )
      )
      assert env == expected
  
imports: from hyperparameter_hunter.callbacks.recipes import confusion_matrix_oof, confusion_matrix_holdout
  from hyperparameter_hunter.environment import Environment, define_holdout_set, validate_file_blacklist
  import numpy
  import pandas
  from pkg_resources import get_distribution
  import pytest
  from sklearn.datasets import load_breast_cancer
  from sklearn.metrics import accuracy_score
  from sklearn.model_selection import RepeatedStratifiedKFold
label_desc: Use image node_id 6 for calling a global function with example usage: test_environment_init_cross_experiment_params(runs, cv_type, _cv_params, expected) without return types