fix: black & update black

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
 -   repo: https://github.com/ambv/black
-    rev: 23.7.0
+    rev: 24.2.0
     hooks:
     - id: black
 -   repo: https://github.com/astral-sh/ruff-pre-commit

src/coral_models/protocols.py

@@ -20,8 +20,7 @@
 
 
 class Processor(Protocol):
-    def __call__(self, *args, **kwargs) -> BatchEncoding:
-        ...
+    def __call__(self, *args, **kwargs) -> BatchEncoding: ...
 
     def decode(
         self,
@@ -37,15 +36,12 @@ def decode(
         lm_score_boundary: bool | None = None,
         output_word_offsets: bool = False,
         n_best: int = 1,
-    ) -> Wav2Vec2DecoderWithLMOutput | str:
-        ...
+    ) -> Wav2Vec2DecoderWithLMOutput | str: ...
 
     @classmethod
-    def from_pretrained(cls, pretrained_model_name_or_path: str) -> "Processor":
-        ...
+    def from_pretrained(cls, pretrained_model_name_or_path: str) -> "Processor": ...
 
-    def save_pretrained(self, save_directory: str) -> None:
-        ...
+    def save_pretrained(self, save_directory: str) -> None: ...
 
 
 @dataclass
@@ -57,26 +53,18 @@ class PreTrainedModelData:
 
 
 class ModelSetup(Protocol):
-    def __init__(self, cfg: DictConfig) -> None:
-        ...
+    def __init__(self, cfg: DictConfig) -> None: ...
 
-    def load_processor(self) -> Processor:
-        ...
+    def load_processor(self) -> Processor: ...
 
-    def load_model(self) -> PreTrainedModel:
-        ...
+    def load_model(self) -> PreTrainedModel: ...
 
-    def load_data_collator(self) -> DataCollatorMixin:
-        ...
+    def load_data_collator(self) -> DataCollatorMixin: ...
 
-    def load_trainer_class(self) -> Type[Trainer]:
-        ...
+    def load_trainer_class(self) -> Type[Trainer]: ...
 
-    def load_compute_metrics(self) -> Callable[[EvalPrediction], dict]:
-        ...
+    def load_compute_metrics(self) -> Callable[[EvalPrediction], dict]: ...
 
-    def load_training_arguments(self) -> TrainingArguments:
-        ...
+    def load_training_arguments(self) -> TrainingArguments: ...
 
-    def load_saved(self) -> PreTrainedModelData:
-        ...
+    def load_saved(self) -> PreTrainedModelData: ...