Fix style

src/transformers/models/longformer/modeling_longformer.py

@@ -2140,7 +2140,10 @@ class LongformerForTokenClassification(LongformerPreTrainedModel):
         checkpoint="brad1141/Longformer-finetuned-norm",
         output_type=LongformerTokenClassifierOutput,
         config_class=_CONFIG_FOR_DOC,
-        expected_output="['Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence']",
+        expected_output=(
+            "['Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence', 'Evidence',"
+            " 'Evidence', 'Evidence', 'Evidence', 'Evidence']"
+        ),
         expected_loss=0.63,
     )
     def forward(

src/transformers/models/longformer/modeling_tf_longformer.py

@@ -2591,7 +2591,11 @@ class TFLongformerForTokenClassification(TFLongformerPreTrainedModel, TFTokenCla
         checkpoint="hf-internal-testing/tiny-random-longformer",
         output_type=TFLongformerTokenClassifierOutput,
         config_class=_CONFIG_FOR_DOC,
-        expected_output="['LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1']",
+        expected_output=(
+            "['LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1',"
+            " 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1', 'LABEL_1',"
+            " 'LABEL_1', 'LABEL_1']"
+        ),
         expected_loss=0.59,
     )
     def call(