[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -12,14 +12,14 @@ repos:
       - id: trailing-whitespace
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.15.22
+    rev: v0.16.10
     hooks:
       - id: ruff
         args: [--fix]
         exclude: \.ipynb$
       - id: ruff-format
   - repo: https://github.com/PyCQA/isort
-    rev: 9.0.0b1
+    rev: 9.0.2
     hooks:
       - id: isort
         args: ["--profile", "black", "--filter-files"]
@@ -28,7 +28,7 @@ repos:
     hooks:
       - id: pyupgrade
   - repo: https://github.com/PyCQA/autoflake
-    rev: v2.3.3
+    rev: v2.4.0
     hooks:
       - id: autoflake
         args: ["--remove-all-unused-imports", "--in-place"]

data_loader.py

@@ -91,7 +91,7 @@ def __getitem__(self, index: int, max_retries: int = 10):
                     raise RuntimeError(
                         f"VideoIter:: failed to load a sample after {max_retries} retries"
                     ) from e
-                index = np.random.choice(range(0, self.__len__()))
+                index = np.random.choice(range(self.__len__()))
                 trace_back = sys.exc_info()[2]
                 if trace_back is not None:
                     line = str(trace_back.tb_lineno)

features_loader.py

@@ -65,7 +65,7 @@ def __getitem__(self, index: int, max_retries: int = 10) -> tuple[Tensor, Tensor
                     raise RuntimeError(
                         f"FeaturesLoader:: failed to load a sample after {max_retries} retries"
                     ) from e
-                index = np.random.choice(range(0, self.__len__()))
+                index = np.random.choice(range(self.__len__()))
                 logging.warning(
                     f"FeaturesLoader:: ERROR!! (Force using another index:\n{index})\n{e}"
                 )

utils/functional_video.py

@@ -68,9 +68,7 @@ def to_tensor(clip):
     """
     _is_tensor_video_clip(clip)
     if not clip.dtype == torch.uint8:
-        raise TypeError(
-            f"clip tensor should have data type uint8. Got {str(clip.dtype)}"
-        )
+        raise TypeError(f"clip tensor should have data type uint8. Got {clip.dtype!s}")
     return clip.float().permute(3, 0, 1, 2) / 255.0
 
 

utils/transforms_video.py

@@ -9,11 +9,11 @@
 from . import functional_video as F
 
 __all__ = [
-    "RandomResizedCropVideo",
     "CenterCropVideo",
     "NormalizeVideo",
-    "ToTensorVideo",
     "RandomHorizontalFlipVideo",
+    "RandomResizedCropVideo",
+    "ToTensorVideo",
 ]