[misc] lint code (#9395)

src/llamafactory/hparams/finetuning_args.py

@@ -475,7 +475,12 @@ class FinetuningArguments(
     )
     use_mca: bool = field(
         default=False,
-        metadata={"help": "Whether or not to use MCA (Megatron Core Adapter) training. Controlled by USE_MCA environment variable."},
+        metadata={
+            "help": (
+                "Whether or not to use MCA (Megatron Core Adapter) training. "
+                "Controlled by USE_MCA environment variable."
+            )
+        },
     )
     use_muon: bool = field(
         default=False,

src/llamafactory/hparams/parser.py

@@ -55,12 +55,16 @@ _EVAL_CLS = tuple[ModelArguments, DataArguments, EvaluationArguments, Finetuning
 
 if is_mcore_adapter_available() and is_env_enabled("USE_MCA"):
     from mcore_adapter import TrainingArguments as McaTrainingArguments
+
     _TRAIN_MCA_ARGS = [ModelArguments, DataArguments, McaTrainingArguments, FinetuningArguments, GeneratingArguments]
-    _TRAIN_MCA_CLS = tuple[ModelArguments, DataArguments, McaTrainingArguments, FinetuningArguments, GeneratingArguments]
+    _TRAIN_MCA_CLS = tuple[
+        ModelArguments, DataArguments, McaTrainingArguments, FinetuningArguments, GeneratingArguments
+    ]
 else:
     _TRAIN_MCA_ARGS = []
     _TRAIN_MCA_CLS = tuple()
 
+
 def read_args(args: Optional[Union[dict[str, Any], list[str]]] = None) -> Union[dict[str, Any], list[str]]:
     r"""Get arguments from the command line or a config file."""
     if args is not None:

src/llamafactory/hparams/training_args.py

@@ -20,17 +20,18 @@ from transformers import Seq2SeqTrainingArguments
 from transformers.training_args import _convert_str_dict
 
 from ..extras.misc import is_env_enabled, use_ray
+from ..extras.packages import is_mcore_adapter_available
 
 
 if is_env_enabled("USE_MCA"):
-    try:
-        from mcore_adapter import Seq2SeqTrainingArguments as McaSeq2SeqTrainingArguments
-        BaseTrainingArguments = McaSeq2SeqTrainingArguments
-    except ImportError:
+    if not is_mcore_adapter_available():
         raise ImportError(
-            "mcore_adapter is required when USE_MCA=1.",
-            "Please install `mcore_adapter` and its dependencies."
+            "mcore_adapter is required when USE_MCA=1. Please install `mcore_adapter` and its dependencies."
         )
+
+    from mcore_adapter import Seq2SeqTrainingArguments as McaSeq2SeqTrainingArguments
+
+    BaseTrainingArguments = McaSeq2SeqTrainingArguments
 else:
     BaseTrainingArguments = Seq2SeqTrainingArguments