code: def toy_environment_fixture():
      return Environment(
          train_dataset=pima_indians_head,
          holdout_dataset=holdout_first_row,
          metrics=["roc_auc_score"],
          target_column="class",
          cv_params=dict(n_splits=3, shuffle=True, random_state=32),
      )
  
imports: from hyperparameter_hunter import Environment, CVExperiment, FeatureEngineer, EngineerStep
  from hyperparameter_hunter.callbacks.recipes import dataset_recorder
  import numpy
  from numpy.testing import assert_array_almost_equal
  import pandas
  from pandas.testing import assert_frame_equal
  import pytest
  from sklearn.ensemble import AdaBoostClassifier
  from sklearn.preprocessing import StandardScaler
label_desc: Use image node_id 12 for calling a global function with example usage: toy_environment_fixture() and returns: Environment