[pre-commit.ci] auto fixes from pre-commit.com hooks

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nemo/collections/nlp/models/language_modeling/megatron_finetune_model.py

@@ -109,26 +109,20 @@ def setup_metric(self, data_cfg):
 
             kwargs = {}
             if hasattr(data_cfg.metric, 'average'):
-                if metric_name != 'rouge':  
+                if metric_name != 'rouge':
                     kwargs['average'] = data_cfg.metric.average
 
             if hasattr(data_cfg.metric, 'num_classes'):
-                if metric_name != 'rouge':  
+                if metric_name != 'rouge':
                     kwargs['num_classes'] = data_cfg.metric.num_classes
 
             # GLUE will not have a "src_file_name" attribute and will always have only a single metric.
             if hasattr(data_cfg, "src_file_name") or hasattr(data_cfg, "file_names"):
                 if hasattr(data_cfg, "src_file_name") and isinstance(data_cfg.src_file_name, ListConfig):
                     # We pass average and num_classes to the metric constructor via kwargs.
-                    metric = [
-                        metric_class(**kwargs)
-                        for _ in range(len(data_cfg.src_file_name))
-                    ]
+                    metric = [metric_class(**kwargs) for _ in range(len(data_cfg.src_file_name))]
                 elif hasattr(data_cfg, "file_names") and isinstance(data_cfg.file_names, ListConfig):
-                    metric = [
-                        metric_class(**kwargs)
-                        for _ in range(len(data_cfg.file_names))
-                    ]
+                    metric = [metric_class(**kwargs) for _ in range(len(data_cfg.file_names))]
                 else:
                     metric = [metric_class(**kwargs)]
             else: