code: def test_mask():
      with TemporaryDirectory() as out_dir:
          data_path, _, _ = get_fnames("small_25")
          volume, affine = load_nifti(data_path)
  
          mask_flow = MaskFlow()
  
          mask_flow.run(data_path, 10, out_dir=out_dir, ub=9)
          assert_false(mask_flow.last_generated_outputs)
  
          mask_flow.run(data_path, 10, out_dir=out_dir)
          mask_path = mask_flow.last_generated_outputs["out_mask"]
          mask_data, mask_affine = load_nifti(mask_path)
          npt.assert_equal(mask_data.shape, volume.shape)
          npt.assert_array_almost_equal(mask_affine, affine)
  
imports: from tempfile import TemporaryDirectory
  import numpy.testing
  from dipy.testing import assert_false
  from dipy.data import get_fnames
  from dipy.io.image import load_nifti
  from dipy.workflows.mask import MaskFlow
label_desc: Use image node_id 1 for calling a global function with example usage: test_mask() without return types