fix format

Author: Kovbo

src/art/client.py

@@ -5,6 +5,7 @@
 from typing import Any, AsyncIterator, Iterable, Literal, TypedDict, cast
 
 import httpx
+from openai import AsyncOpenAI, BaseModel, _exceptions
 from openai._base_client import AsyncAPIClient, AsyncPaginator, make_request_options
 from openai._compat import cached_property
 from openai._qs import Querystring
@@ -17,8 +18,6 @@
 from openai.resources.models import AsyncModels  # noqa: F401
 from typing_extensions import override
 
-from openai import AsyncOpenAI, BaseModel, _exceptions
-
 from .trajectories import TrajectoryGroup
 
 
@@ -291,7 +290,9 @@ def events(self) -> TrainingJobEvents:
 
 class TrainingJobEvent(BaseModel):
     id: str
-    type: Literal["training_started", "gradient_step", "training_ended", "training_failed"]
+    type: Literal[
+        "training_started", "gradient_step", "training_ended", "training_failed"
+    ]
     data: dict[str, Any]
 
 

src/art/gather.py

@@ -190,7 +190,8 @@ def record_metrics(context: "GatherContext", trajectory: Trajectory) -> None:
     if logprobs:
         # TODO: probably shouldn't average this
         trajectory.metrics["completion_tokens"] = sum(
-            len(l.content or l.refusal or []) for l in logprobs  # noqa: E741
+            len(l.content or l.refusal or [])
+            for l in logprobs  # noqa: E741
         ) / len(logprobs)
     context.metric_sums["reward"] += trajectory.reward  # type: ignore
     context.metric_divisors["reward"] += 1

src/art/openai.py

@@ -128,9 +128,9 @@ def update_chat_completion(
                     choice.message.tool_calls[tool_call.index].id = tool_call.id
                 if tool_call.function:
                     if tool_call.function.name:
-                        choice.message.tool_calls[tool_call.index].function.name = (
-                            tool_call.function.name
-                        )
+                        choice.message.tool_calls[
+                            tool_call.index
+                        ].function.name = tool_call.function.name
                     if tool_call.function.arguments:
                         choice.message.tool_calls[
                             tool_call.index

src/art/serverless/backend.py

@@ -157,7 +157,9 @@ async def _train_model(
                 elif event.type == "training_ended":
                     return
                 elif event.type == "training_failed":
-                    error_message = event.data.get("error_message", "Training failed with an unknown error")
+                    error_message = event.data.get(
+                        "error_message", "Training failed with an unknown error"
+                    )
                     raise RuntimeError(f"Training job failed: {error_message}")
                 after = event.id