code: def expected_suffixes(motion):
      expectation = {
          "basic": slice(1),
          "derivatives": slice(2),
          "power2": np.array([True, False, True, False]),
          "full": slice(4),
      }
      return SUFFIXES[expectation[motion]]
  
imports: import re
  import numpy
  import pandas
  import pytest
  from nibabel import Nifti1Image
  from scipy.stats import pearsonr
  from sklearn.preprocessing import scale
  from nilearn._utils.data_gen import create_fake_bids_dataset
  from nilearn._utils.fmriprep_confounds import to_camel_case
  from nilearn.conftest import _rng
  from nilearn.interfaces.bids import get_bids_files
  from nilearn.interfaces.fmriprep import load_confounds
  from nilearn.interfaces.fmriprep.load_confounds import _check_strategy, _load_single_confounds_file
  from nilearn.interfaces.fmriprep.tests._testing import create_tmp_filepath, get_legal_confound
  from nilearn.maskers import NiftiMasker
label_desc: Use image node_id 13 for calling a global function with example usage: expected_suffixes(motion) and returns: SUFFIXES