code: def test_environment_repr(env_params):
      """Test that :meth:`Environment.__repr__` returns the expected value"""
      env = Environment(**env_params)
      assert (
          env.__repr__()
          == f"Environment(cross_experiment_key={env.cross_experiment_key!s})"
      )
  
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 7 for calling a global function with example usage: test_environment_repr(env_params) without return types