code: def masked_data() -> np.ndarray:
      return np.array([[1, 0, 0, 1, 0, 1, 1, 0]]).reshape(8, 1)
  
imports: from typing import Iterable, Sequence
  import numpy
  import pytest
  from nibabel.nifti1 import Nifti1Pair
  from nibabel.spatialimages import SpatialImage
  from brainiak.image import mask_image, mask_images, MaskedMultiSubjectData, multimask_images, SingleConditionSpec
label_desc: Use image node_id 5 for calling a global function with example usage: masked_data() and returns: np