Fix ruff errors

Author: mtake

examples/building_a_model_with_fine-tuning_and_interpolation.ipynb

@@ -141,7 +141,9 @@
     "ckpt_output_dir = f\"experiments/training_output-{model_name}{_data_name}\"\n",
     "processed_data_dir = f\"data/processed-data-{model_name}{_data_name}\"\n",
     "\n",
-    "process_data = not os.path.isfile(f\"{processed_data_dir}/data.jsonl\") or force_process_data"
+    "process_data = (\n",
+    "    not os.path.isfile(f\"{processed_data_dir}/data.jsonl\") or force_process_data\n",
+    ")"
    ]
   },
   {
@@ -257,7 +259,7 @@
    "source": [
     "print(\"Start training\", flush=True)\n",
     "\n",
-    "run_training(torch_args=torch_args,train_args=train_args)\n",
+    "run_training(torch_args=torch_args, train_args=train_args)\n",
     "\n",
     "print(\"Finished training\", flush=True)"
    ]
@@ -291,6 +293,7 @@
    "source": [
     "import glob\n",
     "\n",
+    "\n",
     "def find_last_checkpoint(ckpt_output_dir: str) -> str | None:\n",
     "    last_checkpoint_path = None\n",
     "\n",
@@ -333,7 +336,9 @@
     "\n",
     "    print(f\"Trained model path: {trained_model_path}\")\n",
     "\n",
-    "    output_model_path = interpolate_models(model_path, trained_model_path, trained_model_weight=trained_model_weight)\n",
+    "    output_model_path = interpolate_models(\n",
+    "        model_path, trained_model_path, trained_model_weight=trained_model_weight\n",
+    "    )\n",
     "\n",
     "    print(f\"Output model path: {output_model_path}\")"
    ]