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

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

studio/backend/core/training/diffusion_train_common.py

@@ -369,7 +369,6 @@ def dit_accelerator_missing_reason(resolved_family: str) -> Optional[str]:
         return None
     try:
         import torch
-
         def probe(owner: Any) -> bool:
             # Each accelerator is probed on its own: one missing or throwing probe must not
             # decide the other two. torch.mps.is_available() only exists from torch 2.5 and

studio/backend/routes/models.py

@@ -2595,7 +2595,11 @@ async def delete_finetuned_model(
             continue
         try:
             status = backend.status()
-            held = [status.get(key) for key in ("repo_id", "base_repo")] if status.get("loaded") else []
+            held = (
+                [status.get(key) for key in ("repo_id", "base_repo")]
+                if status.get("loaded")
+                else []
+            )
             held += list(getattr(backend, "loaded_repo_ids", tuple)())
             if any(h and _loaded_model_matches_deleted_path(str(h), target_path) for h in held):
                 raise HTTPException(

studio/backend/tests/test_delete_finetuned_diffusion_guard.py

@@ -26,7 +26,14 @@ from routes.models import router as models_router
 class _Backend:
     """Minimal stand-in for the Images engine / Video backend delete-guard surface."""
 
-    def __init__(self, *, loaded=None, base=None, loading=(), extra=()):
+    def __init__(
+        self,
+        *,
+        loaded = None,
+        base = None,
+        loading = (),
+        extra = (),
+    ):
         self._loaded = loaded
         self._base = base
         self._loading = tuple(loading)

studio/backend/tests/test_scoped_download_worker.py

@@ -31,7 +31,9 @@ FILES = ["model_index.json", "transformer/diffusion_pytorch_model.safetensors"]
 def offline(monkeypatch, tmp_path):
     """A worker whose metadata lookups all fail, pointed at a snapshot dir we control."""
     monkeypatch.setattr(
-        hf_download, "_model_info_with_retry", lambda *a, **k: (_ for _ in ()).throw(OSError("no net"))
+        hf_download,
+        "_model_info_with_retry",
+        lambda *a, **k: (_ for _ in ()).throw(OSError("no net")),
     )
     monkeypatch.setattr(hf_download, "_protected_blob_hashes", lambda: frozenset())
     monkeypatch.setattr(hf_download, "_preflight_disk_space", lambda *a, **k: None)