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

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

studio/backend/core/inference/api_monitor.py

@@ -280,9 +280,7 @@ class ApiMonitor:
             if subject is None:
                 self._entries.clear()
                 return
-            self._entries = deque(
-                entry for entry in self._entries if entry.subject != subject
-            )
+            self._entries = deque(entry for entry in self._entries if entry.subject != subject)
 
     def _find_locked(self, entry_id: str) -> Optional[ApiMonitorEntry]:
         for entry in self._entries:

studio/backend/routes/inference.py

@@ -3742,8 +3742,7 @@ async def _maybe_auto_switch_model(
                                 override,
                                 # variant is set for every GGUF the resolver returns; the
                                 # reload-stash path carries the quant it froze.
-                                is_gguf = bool(variant)
-                                or target_id.lower().endswith(".gguf"),
+                                is_gguf = bool(variant) or target_id.lower().endswith(".gguf"),
                             )
                         )
                         # Reuse the load impl so its dedup, tensor fallback, and threading

studio/backend/routes/settings.py

@@ -159,7 +159,6 @@ class ModelOverridePayload(BaseModel):
     n_cpu_moe: Optional[int] = Field(default = None, ge = 0, le = 1024)
     gpu_ids: Optional[list[int]] = None
 
-
     @field_validator("chat_template_override")
     @classmethod
     def _limit_chat_template_bytes(cls, value: Optional[str]) -> Optional[str]:
@@ -168,9 +167,7 @@ class ModelOverridePayload(BaseModel):
         if value is None:
             return None
         if len(value.encode("utf-8")) > MAX_CHAT_TEMPLATE_BYTES:
-            raise ValueError(
-                f"Chat template exceeds the {MAX_CHAT_TEMPLATE_BYTES}-byte limit."
-            )
+            raise ValueError(f"Chat template exceeds the {MAX_CHAT_TEMPLATE_BYTES}-byte limit.")
         return value
 
 
@@ -331,6 +328,7 @@ def update_openai_auto_switch_override(
 ) -> ModelOverridesResponse:
     from core.inference.llama_server_args import validate_extra_args
     from utils.openai_auto_switch_settings import get_model_override
+
     try:
         # A payload carrying only model_id is the documented "remove", so it
         # wipes everything. Otherwise it is a real save, and omitted launch flags
@@ -341,14 +339,10 @@ def update_openai_auto_switch_override(
             exclude = {"model_id", "llama_extra_args"}, exclude_none = True
         )
         is_removal = not payload.tensor_parallel and not {
-            key: value
-            for key, value in saved_fields.items()
-            if key != "tensor_parallel"
+            key: value for key, value in saved_fields.items() if key != "tensor_parallel"
         }
         if requested_extra_args is None and not is_removal:
-            requested_extra_args = get_model_override(payload.model_id).get(
-                "llama_extra_args"
-            )
+            requested_extra_args = get_model_override(payload.model_id).get("llama_extra_args")
         extra_args = validate_extra_args(requested_extra_args)
         set_model_override(
             payload.model_id,

studio/backend/tests/test_openai_auto_switch.py

@@ -3843,11 +3843,7 @@ def test_normalize_model_override_drops_unusable_fields_and_keeps_the_rest():
             "llama_extra_args": [],
         }
     )
-    assert entry == {
-        "max_seq_length": 8192,
-        "speculative_type": "mtp",
-        "gpu_ids": [1, 0, 2],
-    }
+    assert entry == {"max_seq_length": 8192, "speculative_type": "mtp", "gpu_ids": [1, 0, 2]}
 
 
 def test_normalize_model_override_rejects_oversized_chat_template():
@@ -3862,15 +3858,11 @@ def test_normalize_model_override_rejects_oversized_chat_template():
 
 
 def test_spec_draft_n_max_only_stored_for_mtp_modes():
-    mtp = settings.normalize_model_override(
-        {"speculative_type": "mtp", "spec_draft_n_max": 4}
-    )
+    mtp = settings.normalize_model_override({"speculative_type": "mtp", "spec_draft_n_max": 4})
     assert mtp["spec_draft_n_max"] == 4
     # A non-MTP mode ignores the draft count at load time, so storing it would
     # show the user an edit that never takes effect.
-    ngram = settings.normalize_model_override(
-        {"speculative_type": "ngram", "spec_draft_n_max": 4}
-    )
+    ngram = settings.normalize_model_override({"speculative_type": "ngram", "spec_draft_n_max": 4})
     assert "spec_draft_n_max" not in ngram
 
 
@@ -3886,10 +3878,7 @@ def test_resolve_fit_max_seq_length_hands_sizing_to_fit_under_manual_auto_layers
         == 4096
     )
     # Pinning the layer count takes --fit back out of the picture.
-    assert (
-        settings.resolve_fit_max_seq_length({**override, "gpu_layers": 20}, is_gguf = True)
-        == 8192
-    )
+    assert settings.resolve_fit_max_seq_length({**override, "gpu_layers": 20}, is_gguf = True) == 8192
     # Not a GGUF, so none of this applies.
     assert settings.resolve_fit_max_seq_length(override, is_gguf = False) == 8192
 

studio/backend/utils/openai_auto_switch_settings.py

@@ -306,9 +306,7 @@ def normalize_model_override(payload: dict[str, Any]) -> dict[str, Any]:
         # Only meaningful for the MTP modes; storing it otherwise would resurface
         # in the UI as an edit the loader silently ignores.
         if speculative_type in MTP_SPECULATIVE_TYPES:
-            spec_draft_n_max = _bounded_int(
-                payload.get("spec_draft_n_max"), minimum = 1, maximum = 16
-            )
+            spec_draft_n_max = _bounded_int(payload.get("spec_draft_n_max"), minimum = 1, maximum = 16)
             if spec_draft_n_max:
                 entry["spec_draft_n_max"] = spec_draft_n_max