[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

CPAC/registration/registration.py

@@ -3108,7 +3108,9 @@ def overwrite_transform_anat_to_template(wf, cfg, strat_pool, pipe_num, opt=None
             merge_xfms, "merged_file", fsl_apply_warp_t1_to_template, "field_file"
         )
 
-        concat_match_fov = pe.Node(interface=fsl.ConvertWarp(), name=f"concat_match_fov_{pipe_num}")
+        concat_match_fov = pe.Node(
+            interface=fsl.ConvertWarp(), name=f"concat_match_fov_{pipe_num}"
+        )
         concat_match_fov.inputs.relwarp = True
 
         wf.connect(match_fovs_T1w, "out_matrix_file", concat_match_fov, "premat")
@@ -3118,8 +3120,7 @@ def overwrite_transform_anat_to_template(wf, cfg, strat_pool, pipe_num, opt=None
 
         # Node to concatenate the inverse warp with the FOV matrix
         concat_match_fov_inv = pe.Node(
-            interface=fsl.ConvertWarp(),
-            name=f"concat_match_fov_inv_{pipe_num}"
+            interface=fsl.ConvertWarp(), name=f"concat_match_fov_inv_{pipe_num}"
         )
         concat_match_fov_inv.inputs.relwarp = True
 
@@ -3138,15 +3139,16 @@ def overwrite_transform_anat_to_template(wf, cfg, strat_pool, pipe_num, opt=None
         # TODO connect T1wRestoreBrain, check T1wRestoreBrain quality
         node, out = strat_pool.get_data(["desc-restore-brain_T1w", "desc-preproc_T1w"])
 
-        wf.connect(
-            node, out, fsl_apply_warp_t1_brain_to_template, "in_file"
-        )
+        wf.connect(node, out, fsl_apply_warp_t1_brain_to_template, "in_file")
 
         node, out = strat_pool.get_data("T1w-brain-template")
         wf.connect(node, out, fsl_apply_warp_t1_brain_to_template, "ref_file")
 
         wf.connect(
-            concat_match_fov, "out_file", fsl_apply_warp_t1_brain_to_template, "field_file"
+            concat_match_fov,
+            "out_file",
+            fsl_apply_warp_t1_brain_to_template,
+            "field_file",
         )
 
         fsl_apply_warp_t1_brain_mask_to_template = pe.Node(
@@ -3158,9 +3160,7 @@ def overwrite_transform_anat_to_template(wf, cfg, strat_pool, pipe_num, opt=None
 
         node, out = strat_pool.get_data("space-T1w_desc-brain_mask")
 
-        wf.connect(
-            node, out, fsl_apply_warp_t1_brain_mask_to_template, "in_file"
-        )
+        wf.connect(node, out, fsl_apply_warp_t1_brain_mask_to_template, "in_file")
 
         node, out = strat_pool.get_data("T1w-brain-template-mask")
         wf.connect(node, out, fsl_apply_warp_t1_brain_mask_to_template, "ref_file")
@@ -3438,9 +3438,7 @@ def coregistration(wf, cfg, strat_pool, pipe_num, opt=None):
         node, out = strat_pool.get_data("sbref")
         wf.connect(node, out, func_to_anat, "inputspec.func")
 
-        node, out = strat_pool.get_data(
-            ["desc-restore-brain_T1w", "desc-preproc_T1w"]
-        )
+        node, out = strat_pool.get_data(["desc-restore-brain_T1w", "desc-preproc_T1w"])
         wf.connect(node, out, func_to_anat, "inputspec.anat")
 
     if diff_complete:
@@ -4020,8 +4018,14 @@ def warp_wholeheadT1_to_template(wf, cfg, strat_pool, pipe_num, opt=None):
 def warp_T1mask_to_template(wf, cfg, strat_pool, pipe_num, opt=None):
     """Warp T1 mask to template."""
 
-    if cfg.registration_workflows["anatomical_registration"]["overwrite_transform"] and cfg.registration_workflows["anatomical_registration"]["overwrite_transform"]["using"] == 'FSL':
-        reg_tool = 'fsl'
+    if (
+        cfg.registration_workflows["anatomical_registration"]["overwrite_transform"]
+        and cfg.registration_workflows["anatomical_registration"][
+            "overwrite_transform"
+        ]["using"]
+        == "FSL"
+    ):
+        reg_tool = "fsl"
     else:
         reg_tool = strat_pool.reg_tool("from-T1w_to-template_mode-image_xfm")