use pre-commit

Former-commit-id: 21db8ed2f4

src/llamafactory/extras/env.py

@@ -72,4 +72,4 @@ def print_env() -> None:
     except Exception:
         pass
 
-    print("\n" + "\n".join(["- {}: {}".format(key, value) for key, value in info.items()]) + "\n")
+    print("\n" + "\n".join([f"- {key}: {value}" for key, value in info.items()]) + "\n")

src/llamafactory/extras/logging.py

@@ -75,7 +75,7 @@ def _get_default_logging_level() -> "logging._Level":
         if env_level_str.upper() in logging._nameToLevel:
             return logging._nameToLevel[env_level_str.upper()]
         else:
-            raise ValueError("Unknown logging level: {}.".format(env_level_str))
+            raise ValueError(f"Unknown logging level: {env_level_str}.")
 
     return _default_log_level
 

src/llamafactory/extras/ploting.py

@@ -75,7 +75,7 @@ def plot_loss(save_dictionary: str, keys: List[str] = ["loss"]) -> None:
     Plots loss curves and saves the image.
     """
     plt.switch_backend("agg")
-    with open(os.path.join(save_dictionary, TRAINER_STATE_NAME), "r", encoding="utf-8") as f:
+    with open(os.path.join(save_dictionary, TRAINER_STATE_NAME), encoding="utf-8") as f:
         data = json.load(f)
 
     for key in keys:
@@ -92,7 +92,7 @@ def plot_loss(save_dictionary: str, keys: List[str] = ["loss"]) -> None:
         plt.figure()
         plt.plot(steps, metrics, color="#1f77b4", alpha=0.4, label="original")
         plt.plot(steps, smooth(metrics), color="#1f77b4", label="smoothed")
-        plt.title("training {} of {}".format(key, save_dictionary))
+        plt.title(f"training {key} of {save_dictionary}")
         plt.xlabel("step")
         plt.ylabel(key)
         plt.legend()