Fix sentence fragment within test comments (#31218)

tests/models/data2vec/test_modeling_data2vec_text.py

@@ -474,8 +474,7 @@ class Data2VecTextModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
         self.assertIsNotNone(model)
 
     def test_create_position_ids_respects_padding_index(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is Data2VecTextForTextEmbeddings.padding_idx + 1
@@ -493,8 +492,7 @@ class Data2VecTextModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
         self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
 
     def test_create_position_ids_from_inputs_embeds(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is Data2VecTextForTextEmbeddings.padding_idx + 1

tests/models/esm/test_modeling_esm.py

@@ -246,8 +246,7 @@ class EsmModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         self.assertIsNotNone(model)
 
     def test_create_position_ids_respects_padding_index(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is EsmEmbeddings.padding_idx + 1
@@ -271,8 +270,7 @@ class EsmModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
 
     def test_create_position_ids_from_inputs_embeds(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is EsmEmbeddings.padding_idx + 1

tests/models/ibert/test_modeling_ibert.py

@@ -296,8 +296,7 @@ class IBertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         self.assertIsNotNone(model)
 
     def test_create_position_ids_respects_padding_index(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is IBertEmbeddings.padding_idx + 1
@@ -315,9 +314,7 @@ class IBertModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
         self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
 
     def test_create_position_ids_from_inputs_embeds(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
-
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is IBertEmbeddings.padding_idx + 1
         """

tests/models/roberta/test_modeling_roberta.py

@@ -481,8 +481,7 @@ class RobertaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
         self.assertIsNotNone(model)
 
     def test_create_position_ids_respects_padding_index(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is RobertaEmbeddings.padding_idx + 1
@@ -500,8 +499,7 @@ class RobertaModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMi
         self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
 
     def test_create_position_ids_from_inputs_embeds(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is RobertaEmbeddings.padding_idx + 1

tests/models/roberta_prelayernorm/test_modeling_roberta_prelayernorm.py

@@ -488,8 +488,7 @@ class RobertaPreLayerNormModelTest(ModelTesterMixin, GenerationTesterMixin, Pipe
 
     # Copied from tests.models.roberta.test_modeling_roberta.RobertaModelTest.test_create_position_ids_respects_padding_index with Roberta->RobertaPreLayerNorm
     def test_create_position_ids_respects_padding_index(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is RobertaPreLayerNormEmbeddings.padding_idx + 1
@@ -508,8 +507,7 @@ class RobertaPreLayerNormModelTest(ModelTesterMixin, GenerationTesterMixin, Pipe
 
     # Copied from tests.models.roberta.test_modeling_roberta.RobertaModelTest.test_create_position_ids_from_inputs_embeds with Roberta->RobertaPreLayerNorm
     def test_create_position_ids_from_inputs_embeds(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is RobertaPreLayerNormEmbeddings.padding_idx + 1

tests/models/xlm_roberta_xl/test_modeling_xlm_roberta_xl.py

@@ -475,8 +475,7 @@ class XLMRobertaXLModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
         self.model_tester.create_and_check_for_question_answering(*config_and_inputs)
 
     def test_create_position_ids_respects_padding_index(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is XLMRobertaXLEmbeddings.padding_idx + 1
@@ -494,8 +493,7 @@ class XLMRobertaXLModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTes
         self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
 
     def test_create_position_ids_from_inputs_embeds(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is XLMRobertaXLEmbeddings.padding_idx + 1

tests/models/xmod/test_modeling_xmod.py

@@ -472,8 +472,7 @@ class XmodModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
         self.model_tester.create_and_check_for_question_answering(*config_and_inputs)
 
     def test_create_position_ids_respects_padding_index(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is XmodEmbeddings.padding_idx + 1
@@ -491,8 +490,7 @@ class XmodModelTest(ModelTesterMixin, GenerationTesterMixin, PipelineTesterMixin
         self.assertTrue(torch.all(torch.eq(position_ids, expected_positions)))
 
     def test_create_position_ids_from_inputs_embeds(self):
-        """Ensure that the default position ids only assign a sequential . This is a regression
-        test for https://github.com/huggingface/transformers/issues/1761
+        """This is a regression test for https://github.com/huggingface/transformers/issues/1761
 
         The position ids should be masked with the embedding object's padding index. Therefore, the
         first available non-padding position index is XmodEmbeddings.padding_idx + 1