code: def check_kwargs(kwargs, forbidden):
      """Pop unwanted arguments and issue warning"""
      for f in forbidden:
          s = kwargs.pop(f, None)
          if s is not None:
              warnings.warn(
                  "Layer-specific parameter '%s' contradicts"
                  "ensemble-wide settings. Ignoring." % f,
                  LayerSpecificationWarning,
              )
  
imports: from __future__ import division, print_function, with_statement
  from abc import ABCMeta, abstractmethod
  import warnings
  from ..None import config
  from ..parallel import Layer, ParallelProcessing, make_group
  from ..parallel.base import BaseStacker
  from ..externals.sklearn.validation import check_random_state
  from ..utils import check_ensemble_build, print_time, safe_print, IdTrain, format_name
  from ..utils.exceptions import LayerSpecificationWarning, NotFittedError, NotInitializedError
  from ..metrics import Data
  from ..externals.sklearn.base import BaseEstimator, clone
label_desc: Use image node_id 1 for calling a global function with example usage: check_kwargs(kwargs, forbidden) without return types