code: def _sfn(l, mask, myrad, bcast_var):
      
      clf = bcast_var[2]
      data = l[0][mask, :].T
      # print(l[0].shape, mask.shape, data.shape)
      skf = model_selection.StratifiedKFold(n_splits=bcast_var[1],
                                            shuffle=False)
      accuracy = np.mean(model_selection.cross_val_score(clf, data,
                                                         y=bcast_var[0],
                                                         cv=skf,
                                                         n_jobs=1))
      return accuracy
docs: Score classifier on searchlight data using cross-validation.
  
      The classifier is in `bcast_var[2]`. The labels are in `bast_var[0]`. The
      number of cross-validation folds is in `bast_var[1].