class_docstr: Load the global configuration before calling the function.
code: def __call__(self, *args, **kwargs):
      config = getattr(self, "config", None)
      if config is None:
          warnings.warn(
              "`sklearn.utils.parallel.delayed` should be used with "
              "`sklearn.utils.parallel.Parallel` to make it possible to propagate "
              "the scikit-learn configuration of the current thread to the "
              "joblib workers.",
              UserWarning,
          )
          config = {}
      with config_context(**config):
          return self.function(*args, **kwargs)
  
file_path: scikit-learn-intelex/sklearnex/utils/parallel.py
imports: import warnings
  from functools import update_wrapper
  from .._config import config_context, get_config
label_desc: Use image node_id 3 for calling the _FuncWrapper obj's underlying member method code with example usage: obj.__call__() and returns: self