code: def test_motion_correction():
      data_path, fbvals_path, fbvecs_path = get_fnames("small_64D")
      volume = load_nifti_data(data_path)
  
      with TemporaryDirectory() as out_dir:
          # Use an abbreviated data-set:
          img = nib.load(data_path)
          data = img.get_fdata()[..., :10]
          nib.save(
              nib.Nifti1Image(data, img.affine),
              os.path.join(out_dir, "data.nii.gz"),
          )
          # Save a subset:
          bvals = np.loadtxt(fbvals_path)
          bvecs = np.loadtxt(fbvecs_path)
          np.savetxt(os.path.join(out_dir, "bvals.txt"), bvals[:10])
          np.savetxt(os.path.join(out_dir, "bvecs.txt"), bvecs[:10])
  
          motion_correction_flow = MotionCorrectionFlow()
  
          motion_correction_flow._force_overwrite = True
          motion_correction_flow.run(
              os.path.join(out_dir, "data.nii.gz"),
              os.path.join(out_dir, "bvals.txt"),
              os.path.join(out_dir, "bvecs.txt"),
              out_dir=out_dir,
          )
          out_path = motion_correction_flow.last_generated_outputs[
              "out_moved"
          ]
          corrected = load_nifti_data(out_path)
  
          npt.assert_equal(corrected.shape, data.shape)
          npt.assert_equal(corrected.min(), data.min())
          npt.assert_equal(corrected.max(), data.max())
  
imports: from os.path import join
  import os.path
  from tempfile import TemporaryDirectory
  import numpy.testing
  import numpy
  import nibabel
  import pytest
  from dipy.utils.optpkg import optional_package
  from dipy.align.tests.test_imwarp import get_synthetic_warped_circle
  from dipy.align.tests.test_parzenhist import setup_random_transform
  from dipy.align.transforms import regtransforms
  from dipy.data import get_fnames
  from dipy.io.image import save_nifti, load_nifti_data
  from dipy.io.stateful_tractogram import Space, StatefulTractogram
  from dipy.io.streamline import load_tractogram, save_tractogram
  from dipy.tracking.streamline import Streamlines
  from dipy.workflows.align import ImageRegistrationFlow, SynRegistrationFlow, ApplyTransformFlow, ResliceFlow, SlrWithQbxFlow, MotionCorrectionFlow, BundleWarpFlow
  from dipy.testing.decorators import set_random_number_generator
label_desc: Use image node_id 6 for calling a global function with example usage: test_motion_correction() without return types