code: def run_algotithms():
      for info in MODELS_INFO:
          for t in TYPES:
              model_name = get_class_name(info["model"])
              if (
                  model_name in ["Ridge", "LinearRegression"]
                  and t.__name__ == "uint32"
              ):
                  continue
              run_patch(info, t)
  
file_path: scikit-learn-intelex/daal4py/sklearn/monkeypatch/tests/utils/_launch_algorithms.py
imports: import logging
  import random
  import numpy
  from daal4py.sklearn import patch_sklearn
  import pathlib
  import sys
  from sklearn.datasets import load_diabetes, load_iris, make_regression
  from sklearn.metrics import pairwise_distances, roc_auc_score
  from _models_info import MODELS_INFO, TYPES
label_desc: Use image node_id 4 for calling a global function with example usage: run_algotithms() without return types