Fix: Resolve all Fix Linter Errors from ruff check dinov3

dinov3/eval/detection/models/detr.py

@@ -424,7 +424,7 @@ def forward(self, outputs, target_sizes, original_target_sizes=None):
             scale_fct = torch.stack([img_w, img_h, img_w, img_h], dim=1)
         boxes = boxes * scale_fct[:, None, :]
 
-        results = [{"scores": s, "labels": l, "boxes": b} for s, l, b in zip(scores, labels, boxes)]
+        results = [{"scores": score, "labels": label, "boxes": box} for score, label, box in zip(scores, labels, boxes)]
 
         return results
 

dinov3/eval/results.py

@@ -21,7 +21,7 @@
 Results: Any = pd.DataFrame
 
 try:
-    import openpyxl  # noqa: 401
+    import openpyxl  # noqa: F401
 
     HAS_OPENPYXL = True
 except ImportError:

dinov3/hub/classifiers.py

@@ -5,7 +5,6 @@
 
 import os
 from enum import Enum
-from typing import Optional
 
 import torch
 import torch.nn as nn

dinov3/layers/fp8_linear.py

@@ -104,9 +104,9 @@ def replace(module: torch.nn.Module, name: str) -> torch.nn.Module:
         nonlocal total_count
         if not isinstance(module, torch.nn.Linear) or not filter_re.search(name):
             return module
-        if type(module) == torch.nn.Linear:
+        if type(module) == torch.nn.Linear: # noqa: E721
             new_cls = Fp8Linear
-        elif type(module) == LinearKMaskedBias:
+        elif type(module) == LinearKMaskedBias: # noqa: E721
             new_cls = Fp8LinearKMaskedBias
         else:
             assert False, str(type(module))

dinov3/layers/sparse_linear.py

@@ -51,7 +51,7 @@ def replace(module: nn.Module, name: str) -> nn.Module:
         nonlocal total_count
         if not isinstance(module, nn.Linear) or not filter_fn(name):
             return module
-        assert type(module) == nn.Linear, "Subtypes not supported"
+        assert type(module) == nn.Linear, "Subtypes not supported" # noqa: E721
         new_module = LinearW24(
             in_features=module.in_features,
             out_features=module.out_features,