code: def test_configuration_passes_through_to_joblib(n_jobs, backend):
      # Tests that the global global configuration is passed to joblib jobs
  
      with config_context(working_memory=123):
          results = Parallel(n_jobs=n_jobs, backend=backend)(
              delayed(get_working_memory)() for _ in range(2)
          )
  
      assert_array_equal(results, [123] * 2)
  
file_path: scikit-learn/sklearn/utils/tests/test_parallel.py
imports: import time
  import joblib
  import numpy
  import pytest
  from numpy.testing import assert_array_equal
  from sklearn import config_context, get_config
  from sklearn.compose import make_column_transformer
  from sklearn.datasets import load_iris
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.model_selection import GridSearchCV
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import StandardScaler
  from sklearn.utils.parallel import Parallel, delayed
label_desc: Use image node_id 2 for calling a global function with example usage: test_configuration_passes_through_to_joblib(n_jobs, backend) without return types