Run isort

fmralign/preprocessing.py

@@ -1,17 +1,17 @@
 import os
 import warnings
-import numpy as np
 
+import numpy as np
 from joblib import Memory, Parallel, delayed
 from nibabel.nifti1 import Nifti1Image
 from nilearn._utils.masker_validation import check_embedded_masker
 from nilearn.image import concat_imgs
 from sklearn.base import BaseEstimator, TransformerMixin
 
 from fmralign._utils import (
+    _img_to_parceled_data,
     _intersect_clustering_mask,
     _make_parcellation,
-    _img_to_parceled_data,
 )
 
 

fmralign/tests/test_preprocessing.py

@@ -1,11 +1,11 @@
-import pytest
 import numpy as np
-from nibabel.nifti1 import Nifti1Image
+import pytest
 from joblib import Memory
+from nibabel.nifti1 import Nifti1Image
 
+from fmralign._utils import ParceledData
 from fmralign.preprocessing import Preprocessor
 from fmralign.tests.utils import random_niimg
-from fmralign._utils import ParceledData
 
 
 def test_init_default_params():

fmralign/tests/test_template_alignment.py

@@ -4,14 +4,8 @@
 from nilearn.maskers import NiftiMasker
 from numpy.testing import assert_array_almost_equal
 
-from fmralign.template_alignment import (
-    TemplateAlignment,
-    _rescaled_euclidean_mean,
-)
-from fmralign.tests.utils import (
-    random_niimg,
-    zero_mean_coefficient_determination,
-)
+from fmralign.template_alignment import TemplateAlignment, _rescaled_euclidean_mean
+from fmralign.tests.utils import random_niimg, zero_mean_coefficient_determination
 
 
 def test_template_identity():

fmralign/tests/test_utils.py

@@ -5,7 +5,7 @@
 from nilearn.maskers import NiftiMasker
 from numpy.testing import assert_array_almost_equal, assert_array_equal
 
-from fmralign._utils import _make_parcellation, ParceledData
+from fmralign._utils import ParceledData, _make_parcellation
 from fmralign.tests.utils import random_niimg, sample_parceled_data