lint

Author: suzhoum

src/autogluon/bench/cloud/aws/batch_stack/lambdas/lambda_function.py

@@ -231,7 +231,9 @@ def generate_config_combinations(config, metrics_bucket, batch_job_queue, batch_
     job_type = "array" if len(job_configs) > 1 else "single"
     constraint = config.get("amlb_constraint") or config.get("constraint")
     job_name = f"{benchmark_name}-{config['module']}-{config['framework']}-{constraint}-{job_type}-job"
-    job_name = re.sub(r'(?![-_])\W', '-', job_name)[:128]  # AWS Bath Job name can only contain letters, numbers, "-" and "_"
+    job_name = re.sub(r"(?![-_])\W", "-", job_name)[
+        :128
+    ]  # AWS Bath Job name can only contain letters, numbers, "-" and "_"
 
     parent_job_id = submit_batch_job(
         env=env,

src/autogluon/bench/datasets/multimodal_dataset.py

@@ -730,4 +730,3 @@ def metric(self):
     @property
     def problem_type(self):
         return _MULTICLASS
-

src/autogluon/bench/frameworks/multimodal/exec.py

@@ -223,8 +223,9 @@ def run(
 
     if time_limit is not None:
         params["time_limit"] = time_limit
-        logger.warning(f"params[\"time_limit\"] is being overriden by time_limit specified in constraints.yaml. params[\"time_limit\"] = {time_limit}")
-
+        logger.warning(
+            f'params["time_limit"] is being overriden by time_limit specified in constraints.yaml. params["time_limit"] = {time_limit}'
+        )
 
     fit_args = {"train_data": train_data.data, "tuning_data": val_data.data, **params}