diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index fe43f63..abeb646 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -10,7 +10,7 @@ repos:
     -   id: check-added-large-files
 
 -   repo: https://github.com/psf/black-pre-commit-mirror
-    rev: 25.12.0
+    rev: 26.1.0
     hooks:
     -   id: black
 
diff --git a/fairseq/models/__init__.py b/fairseq/models/__init__.py
index 7689230..999ff93 100644
--- a/fairseq/models/__init__.py
+++ b/fairseq/models/__init__.py
@@ -26,7 +26,6 @@
     FairseqMultiModel,
 )
 
-
 MODEL_REGISTRY = {}
 MODEL_DATACLASS_REGISTRY = {}
 ARCH_MODEL_REGISTRY = {}
diff --git a/fairseq/models/wav2vec/wav2vec2.py b/fairseq/models/wav2vec/wav2vec2.py
index 2327a8d..6c557e3 100644
--- a/fairseq/models/wav2vec/wav2vec2.py
+++ b/fairseq/models/wav2vec/wav2vec2.py
@@ -890,7 +890,7 @@ def make_conv():
         self.conv_layers = nn.ModuleList()
         for i, cl in enumerate(conv_layers):
             assert len(cl) == 3, "invalid conv definition: " + str(cl)
-            (dim, k, stride) = cl
+            dim, k, stride = cl
 
             self.conv_layers.append(
                 block(
diff --git a/fairseq/search.py b/fairseq/search.py
index 25161d6..2e812eb 100644
--- a/fairseq/search.py
+++ b/fairseq/search.py
@@ -879,7 +879,7 @@ def step(
         final_scores = torch.empty(0).to(lprobs)
         final_indices = torch.LongTensor().to(device=lprobs.device)
         final_beams = torch.LongTensor().to(device=lprobs.device)
-        (final_scores, final_indices) = torch.topk(
+        final_scores, final_indices = torch.topk(
             torch.stack(s_list, dim=1).view(bsz, -1),
             k,
         )
diff --git a/fairseq/tasks/__init__.py b/fairseq/tasks/__init__.py
index a15abe3..1c16eb4 100644
--- a/fairseq/tasks/__init__.py
+++ b/fairseq/tasks/__init__.py
@@ -14,7 +14,6 @@
 
 from .fairseq_task import FairseqTask  # noqa
 
-
 # register dataclass
 TASK_DATACLASS_REGISTRY = {}
 TASK_REGISTRY = {}