Corrects flake8 issues

Author: M.Notter

atlasreader/atlasreader.py

@@ -493,8 +493,8 @@ def process_img(stat_img, cluster_extent, voxel_thresh=1.96, direction="both"):
         # ensure that threshold is not greater than most extreme value in image
         max_data_val = np.nan_to_num(np.abs(stat_img.get_fdata())).max()
         if voxel_thresh > max_data_val:
-            warn_msg = f"Threshold value '{voxel_thresh}' is greater than max value in image '{max_data_val}'."
-            warn_msg += " Will select zero voxels."
+            warn_msg = f"Threshold value '{voxel_thresh}' is greater than max value "
+            warn_msg += "in image '{max_data_val}'. Will select zero voxels."
             warnings.warn(warn_msg)
             empty = np.zeros(stat_img.shape + (1,))
             return image.new_img_like(stat_img, empty)
@@ -901,9 +901,7 @@ def create_output(
 
         # get template image for plotting cluster maps
         bgimg = nb.load(
-            resource_filename(
-                "atlasreader", "data/templates/MNI152_T1_1mm_brain.nii.gz"
-            )
+            resource_filename("atlasreader", "data/templates/MNI152_T1_1mm_brain.nii.gz")
         )
 
         # plot clusters

atlasreader/cli.py

@@ -208,9 +208,7 @@ def queryatlas_main():
     for atlas in check_atlases(opts.atlas):
         label = read_atlas_peak(atlas, opts.coordinate, opts.prob_thresh)
         if isinstance(label, list):
-            label = "\n{}".format(" " * 26).join(
-                ["{:>2}% {}".format(*e) for e in label]
-            )
+            label = "\n{}".format(" " * 26).join(["{:>2}% {}".format(*e) for e in label])
         print(f"{atlas.atlas:<25} {label}")