code: def get_working_memory():
      return get_config()["working_memory"]
  
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 1 for calling a global function with example usage: get_working_memory() and returns: get_config