Bump Python version to 3.13

Author: spencerwooo

.github/workflows/ci.yml

@@ -15,7 +15,7 @@ jobs:
       - name: Install uv
         uses: astral-sh/setup-uv@v4
         with:
-          python-version: "3.12"
+          python-version: "3.13"
 
       - name: Install the project's dev dependencies
         # run: uv sync --dev --group test

.github/workflows/pages.yml

@@ -20,7 +20,7 @@ jobs:
       - name: Install uv
         uses: astral-sh/setup-uv@v4
         with:
-          python-version: "3.12"
+          python-version: "3.13"
 
       - name: Install the project's dev dependencies
         run: uv sync --group docs

.github/workflows/pypi-publish.yml

@@ -16,7 +16,7 @@ jobs:
       - name: Install uv
         uses: astral-sh/setup-uv@v4
         with:
-          python-version: "3.12"
+          python-version: "3.13"
 
       - name: Install the project with build deps
         run: uv sync

pyproject.toml

@@ -14,6 +14,7 @@ classifiers = [
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
     "Programming Language :: Python :: 3 :: Only",
     "Topic :: Software Development :: Libraries :: Python Modules",
 ]

tests/conftest.py

@@ -14,12 +14,10 @@ def device() -> torch.device:
 
 
 @pytest.fixture()
-def data() -> (
-    Callable[
-        [Callable[[Image.Image | torch.Tensor], torch.Tensor]],
-        tuple[torch.Tensor, torch.Tensor],
-    ]
-):
+def data() -> Callable[
+    [Callable[[Image.Image | torch.Tensor], torch.Tensor]],
+    tuple[torch.Tensor, torch.Tensor],
+]:
     def _open_and_transform_image(
         transform: Callable[[Image.Image | torch.Tensor], torch.Tensor],
     ) -> tuple[torch.Tensor, torch.Tensor]:

torchattack/_attack.py

@@ -87,13 +87,13 @@ def __eq__(self, other: Any) -> bool:
                 continue
             self_val = getattr(self, attr)
             other_val = getattr(other, attr)
-            
+
             if isinstance(self_val, torch.Tensor):
                 if not isinstance(other_val, torch.Tensor):
                     return False
                 if not torch.equal(self_val, other_val):
                     return False
             elif self_val != other_val:
                 return False
-                
+
         return True