code: def args_ids_for(scenarios):
      return dict(
          argvalues=scenarios,
          ids=[f"{_}" for _ in range(len(scenarios))],
      )
  
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 3 for calling a global function with example usage: args_ids_for(scenarios) and returns: dict