code: def monkeypatch_masker_checks():
      def adjust_screening_percentile(
          screening_percentile, *args, **kwargs
      ):
          return screening_percentile
  
      param_validation.adjust_screening_percentile = (
          adjust_screening_percentile
      )
  
file_path: nilearn/examples/08_experimental/plot_surface_image_and_maskers.py
imports: from typing import Optional, Sequence
  from matplotlib import pyplot
  from nilearn import plotting
  from nilearn.experimental import surface
  from nilearn import connectome, plotting
  import numpy
  from nilearn import decoding, plotting
  from nilearn._utils import param_validation
  import numpy
  from sklearn import feature_selection, linear_model, pipeline, preprocessing
  from nilearn import plotting
label_desc: Use image node_id 2 for calling a global function with example usage: monkeypatch_masker_checks() and returns: screening_percentile