code: def __call__(self, imgs):
      return (
          masking.apply_mask(
              imgs,
              self.mask_img_,
              dtype=_utils.niimg.img_data_dtype(imgs),
          ),
          imgs.affine,
      )
  
imports: import warnings
  from copy import copy
  from functools import partial
  from joblib import Memory
  from nilearn import _utils, image, masking
  from nilearn.maskers._utils import compute_middle_image
  from nilearn.maskers.base_masker import BaseMasker, _filter_and_extract
label_desc: Use image node_id 2 for calling the _ExtractionFunctor obj's underlying member method code with example usage: obj.__call__(imgs) and returns: masking,  imgs