Rework add-new-model-like with modular and make test filenames coherent (#39612)

* remove tf/flax

* fix

* style

* Update add_new_model_like.py

* work in progress

* continue

* more cleanup

* simplify and first final version

* fixes -> it works

* add linter checks

* Update add_new_model_like.py

* fix

* add modular conversion at the end

* Update add_new_model_like.py

* add video processor

* Update add_new_model_like.py

* Update add_new_model_like.py

* Update add_new_model_like.py

* fix

* Update image_processing_auto.py

* Update image_processing_auto.py

* fix post rebase

* start test filenames replacement

* rename all test_processor -> test_processing

* fix copied from

* add docstrings

* Update add_new_model_like.py

* fix regex

* improve wording

* Update add_new_model_like.py

* Update add_new_model_like.py

* Update add_new_model_like.py

* start adding test

* fix

* fix

* proper first test

* tests

* fix

* fix

* fix

* fix

* modular can be used from anywhere

* protect import

* fix

* Update add_new_model_like.py

* fix

tests/models/aria/test_processing_aria.py

@@ -95,7 +95,7 @@ class AriaProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     def tearDownClass(cls):
         shutil.rmtree(cls.tmpdirname, ignore_errors=True)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/aya_vision/test_processing_aya_vision.py

@@ -80,7 +80,7 @@ class AyaVisionProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     def tearDownClass(cls):
         shutil.rmtree(cls.tmpdirname, ignore_errors=True)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/chameleon/test_processing_chameleon.py

@@ -75,7 +75,7 @@ class ChameleonProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     def prepare_processor_dict():
         return {"image_seq_length": 2}  # fmt: skip
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/clvp/test_processing_clvp.py

@@ -35,15 +35,15 @@ class ClvpProcessorTest(unittest.TestCase):
         shutil.rmtree(self.tmpdirname)
         gc.collect()
 
-    # Copied from transformers.tests.models.whisper.test_processor_whisper.WhisperProcessorTest.get_tokenizer with Whisper->Clvp
+    # Copied from transformers.tests.models.whisper.test_processing_whisper.WhisperProcessorTest.get_tokenizer with Whisper->Clvp
     def get_tokenizer(self, **kwargs):
         return ClvpTokenizer.from_pretrained(self.checkpoint, **kwargs)
 
-    # Copied from transformers.tests.models.whisper.test_processor_whisper.WhisperProcessorTest.get_feature_extractor with Whisper->Clvp
+    # Copied from transformers.tests.models.whisper.test_processing_whisper.WhisperProcessorTest.get_feature_extractor with Whisper->Clvp
     def get_feature_extractor(self, **kwargs):
         return ClvpFeatureExtractor.from_pretrained(self.checkpoint, **kwargs)
 
-    # Copied from transformers.tests.models.whisper.test_processor_whisper.WhisperProcessorTest.test_save_load_pretrained_default with Whisper->Clvp
+    # Copied from transformers.tests.models.whisper.test_processing_whisper.WhisperProcessorTest.test_save_load_pretrained_default with Whisper->Clvp
     def test_save_load_pretrained_default(self):
         tokenizer = self.get_tokenizer()
         feature_extractor = self.get_feature_extractor()
@@ -59,7 +59,7 @@ class ClvpProcessorTest(unittest.TestCase):
         self.assertEqual(processor.feature_extractor.to_json_string(), feature_extractor.to_json_string())
         self.assertIsInstance(processor.feature_extractor, ClvpFeatureExtractor)
 
-    # Copied from transformers.tests.models.whisper.test_processor_whisper.WhisperProcessorTest.test_feature_extractor with Whisper->Clvp,processor(raw_speech->processor(raw_speech=raw_speech
+    # Copied from transformers.tests.models.whisper.test_processing_whisper.WhisperProcessorTest.test_feature_extractor with Whisper->Clvp,processor(raw_speech->processor(raw_speech=raw_speech
     def test_feature_extractor(self):
         feature_extractor = self.get_feature_extractor()
         tokenizer = self.get_tokenizer()
@@ -74,7 +74,7 @@ class ClvpProcessorTest(unittest.TestCase):
         for key in input_feat_extract:
             self.assertAlmostEqual(input_feat_extract[key].sum(), input_processor[key].sum(), delta=1e-2)
 
-    # Copied from transformers.tests.models.whisper.test_processor_whisper.WhisperProcessorTest.test_tokenizer with Whisper->Clvp
+    # Copied from transformers.tests.models.whisper.test_processing_whisper.WhisperProcessorTest.test_tokenizer with Whisper->Clvp
     def test_tokenizer(self):
         feature_extractor = self.get_feature_extractor()
         tokenizer = self.get_tokenizer()
@@ -90,7 +90,7 @@ class ClvpProcessorTest(unittest.TestCase):
         for key in encoded_tok:
             self.assertListEqual(encoded_tok[key], encoded_processor[key])
 
-    # Copied from transformers.tests.models.whisper.test_processor_whisper.WhisperProcessorTest.test_tokenizer_decode with Whisper->Clvp
+    # Copied from transformers.tests.models.whisper.test_processing_whisper.WhisperProcessorTest.test_tokenizer_decode with Whisper->Clvp
     def test_tokenizer_decode(self):
         feature_extractor = self.get_feature_extractor()
         tokenizer = self.get_tokenizer()

tests/models/colpali/test_processing_colpali.py

@@ -54,7 +54,7 @@ class ColPaliProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     def tearDownClass(cls):
         shutil.rmtree(cls.tmpdirname, ignore_errors=True)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/colqwen2/test_processing_colqwen2.py

@@ -57,7 +57,7 @@ class ColQwen2ProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     def tearDownClass(cls):
         shutil.rmtree(cls.tmpdirname)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/emu3/test_processing_emu3.py

@@ -91,7 +91,7 @@ class Emu3ProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         # For an image where pixels go from 0 to 255 the diff can be 1 due to some numerical precision errors when scaling and unscaling
         self.assertTrue(np.abs(orig_image - unnormalized_images).max() >= 1)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/fuyu/test_processing_fuyu.py

@@ -64,7 +64,7 @@ class FuyuProcessingTest(ProcessorTesterMixin, unittest.TestCase):
     def get_image_processor(self, **kwargs):
         return AutoProcessor.from_pretrained(self.tmpdirname, **kwargs).image_processor
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/gemma3/test_processing_gemma3.py

@@ -58,7 +58,7 @@ class Gemma3ProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         processor.save_pretrained(cls.tmpdirname)
         cls.image_token = processor.boi_token
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/grounding_dino/test_processing_grounding_dino.py

@@ -94,17 +94,17 @@ class GroundingDinoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         return [labels, labels_longer] + [labels] * (batch_size - 2)
 
     @classmethod
-    # Copied from tests.models.clip.test_processor_clip.CLIPProcessorTest.get_tokenizer with CLIP->Bert
+    # Copied from tests.models.clip.test_processing_clip.CLIPProcessorTest.get_tokenizer with CLIP->Bert
     def get_tokenizer(cls, **kwargs):
         return BertTokenizer.from_pretrained(cls.tmpdirname, **kwargs)
 
     @classmethod
-    # Copied from tests.models.clip.test_processor_clip.CLIPProcessorTest.get_rust_tokenizer with CLIP->Bert
+    # Copied from tests.models.clip.test_processing_clip.CLIPProcessorTest.get_rust_tokenizer with CLIP->Bert
     def get_rust_tokenizer(cls, **kwargs):
         return BertTokenizerFast.from_pretrained(cls.tmpdirname, **kwargs)
 
     @classmethod
-    # Copied from tests.models.clip.test_processor_clip.CLIPProcessorTest.get_image_processor with CLIP->GroundingDino
+    # Copied from tests.models.clip.test_processing_clip.CLIPProcessorTest.get_image_processor with CLIP->GroundingDino
     def get_image_processor(cls, **kwargs):
         return GroundingDinoImageProcessor.from_pretrained(cls.tmpdirname, **kwargs)
 
@@ -145,7 +145,7 @@ class GroundingDinoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         expected_box_slice = torch.tensor([0.6908, 0.4354, 1.0737, 1.3947])
         torch.testing.assert_close(post_processed[0]["boxes"][0], expected_box_slice, rtol=1e-4, atol=1e-4)
 
-    # Copied from tests.models.clip.test_processor_clip.CLIPProcessorTest.test_save_load_pretrained_default with CLIP->GroundingDino,GroundingDinoTokenizer->BertTokenizer
+    # Copied from tests.models.clip.test_processing_clip.CLIPProcessorTest.test_save_load_pretrained_default with CLIP->GroundingDino,GroundingDinoTokenizer->BertTokenizer
     def test_save_load_pretrained_default(self):
         tokenizer_slow = self.get_tokenizer()
         tokenizer_fast = self.get_rust_tokenizer()
@@ -171,7 +171,7 @@ class GroundingDinoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         self.assertIsInstance(processor_slow.image_processor, GroundingDinoImageProcessor)
         self.assertIsInstance(processor_fast.image_processor, GroundingDinoImageProcessor)
 
-    # Copied from tests.models.clip.test_processor_clip.CLIPProcessorTest.test_save_load_pretrained_additional_features with CLIP->GroundingDino,GroundingDinoTokenizer->BertTokenizer
+    # Copied from tests.models.clip.test_processing_clip.CLIPProcessorTest.test_save_load_pretrained_additional_features with CLIP->GroundingDino,GroundingDinoTokenizer->BertTokenizer
     def test_save_load_pretrained_additional_features(self):
         with tempfile.TemporaryDirectory() as tmpdir:
             processor = GroundingDinoProcessor(
@@ -194,7 +194,7 @@ class GroundingDinoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         self.assertEqual(processor.image_processor.to_json_string(), image_processor_add_kwargs.to_json_string())
         self.assertIsInstance(processor.image_processor, GroundingDinoImageProcessor)
 
-    # Copied from tests.models.clip.test_processor_clip.CLIPProcessorTest.test_image_processor with CLIP->GroundingDino
+    # Copied from tests.models.clip.test_processing_clip.CLIPProcessorTest.test_image_processor with CLIP->GroundingDino
     def test_image_processor(self):
         image_processor = self.get_image_processor()
         tokenizer = self.get_tokenizer()
@@ -209,7 +209,7 @@ class GroundingDinoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         for key in input_image_proc:
             self.assertAlmostEqual(input_image_proc[key].sum(), input_processor[key].sum(), delta=1e-2)
 
-    # Copied from tests.models.clip.test_processor_clip.CLIPProcessorTest.test_tokenizer with CLIP->GroundingDino
+    # Copied from tests.models.clip.test_processing_clip.CLIPProcessorTest.test_tokenizer with CLIP->GroundingDino
     def test_tokenizer(self):
         image_processor = self.get_image_processor()
         tokenizer = self.get_tokenizer()
@@ -244,7 +244,7 @@ class GroundingDinoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         with pytest.raises(ValueError):
             processor()
 
-    # Copied from tests.models.clip.test_processor_clip.CLIPProcessorTest.test_tokenizer_decode with CLIP->GroundingDino
+    # Copied from tests.models.clip.test_processing_clip.CLIPProcessorTest.test_tokenizer_decode with CLIP->GroundingDino
     def test_tokenizer_decode(self):
         image_processor = self.get_image_processor()
         tokenizer = self.get_tokenizer()
@@ -258,7 +258,7 @@ class GroundingDinoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
 
         self.assertListEqual(decoded_tok, decoded_processor)
 
-    # Copied from tests.models.clip.test_processor_clip.CLIPProcessorTest.test_model_input_names with CLIP->GroundingDino
+    # Copied from tests.models.clip.test_processing_clip.CLIPProcessorTest.test_model_input_names with CLIP->GroundingDino
     def test_model_input_names(self):
         image_processor = self.get_image_processor()
         tokenizer = self.get_tokenizer()

tests/models/idefics3/test_processing_idefics3.py

@@ -84,7 +84,7 @@ class Idefics3ProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     def prepare_processor_dict():
         return {"image_seq_len": 2}
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 
@@ -284,7 +284,7 @@ class Idefics3ProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         self.assertEqual(np.array(inputs["pixel_values"]).shape, (2, 2, 3, 364, 364))
         self.assertEqual(np.array(inputs["pixel_attention_mask"]).shape, (2, 2, 364, 364))
 
-    # Copied from tests.models.idefics2.test_processor_idefics2.Idefics2ProcessorTest.test_process_interleaved_images_prompts_image_error
+    # Copied from tests.models.idefics2.test_processing_idefics2.Idefics2ProcessorTest.test_process_interleaved_images_prompts_image_error
     def test_process_interleaved_images_prompts_image_error(self):
         processor = self.get_processor()
 

tests/models/internvl/test_processing_internvl.py

@@ -97,7 +97,7 @@ class InternVLProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     def tearDownClass(cls):
         shutil.rmtree(cls.tmpdirname, ignore_errors=True)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/llava_next/test_processing_llava_next.py

@@ -66,7 +66,7 @@ class LlavaNextProcessorTest(ProcessorTesterMixin, unittest.TestCase):
             "vision_feature_select_strategy": "default"
         }  # fmt: skip
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 
@@ -79,7 +79,7 @@ class LlavaNextProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         self.assertTrue("num_image_patches" in output)
         self.assertEqual(len(output["num_image_patches"]), 3)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_chat_template_is_saved
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_chat_template_is_saved
     def test_chat_template_is_saved(self):
         processor_loaded = self.processor_class.from_pretrained(self.tmpdirname)
         processor_dict_loaded = json.loads(processor_loaded.to_json_string())

tests/models/llava_next_video/test_processing_llava_next_video.py

@@ -75,7 +75,7 @@ class LlavaNextVideoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
             "vision_feature_select_strategy": "default",
         }
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 
@@ -88,7 +88,7 @@ class LlavaNextVideoProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         self.assertTrue("num_image_patches" in output)
         self.assertEqual(len(output["num_image_patches"]), 3)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_chat_template_is_saved
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_chat_template_is_saved
     def test_chat_template_is_saved(self):
         processor_loaded = self.processor_class.from_pretrained(self.tmpdirname)
         processor_dict_loaded = json.loads(processor_loaded.to_json_string())

tests/models/llava_onevision/test_processing_llava_onevision.py

@@ -79,7 +79,7 @@ class LlavaOnevisionProcessorTest(ProcessorTesterMixin, unittest.TestCase):
             "vision_feature_select_strategy": "default"
         }  # fmt: skip
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 
@@ -92,7 +92,7 @@ class LlavaOnevisionProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         self.assertTrue("num_image_patches" in output)
         self.assertEqual(len(output["num_image_patches"]), 3)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_chat_template_is_saved
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_chat_template_is_saved
     def test_chat_template_is_saved(self):
         processor_loaded = self.processor_class.from_pretrained(self.tmpdirname)
         processor_dict_loaded = json.loads(processor_loaded.to_json_string())

tests/models/musicgen_melody/test_processing_musicgen_melody.py

@@ -50,7 +50,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
 @require_torch
 @require_sentencepiece
 @require_torchaudio
-# Copied from tests.models.musicgen.test_processor_musicgen.MusicgenProcessorTest with Musicgen->MusicgenMelody, Encodec->MusicgenMelody, padding_mask->attention_mask, input_values->input_features
+# Copied from tests.models.musicgen.test_processing_musicgen.MusicgenProcessorTest with Musicgen->MusicgenMelody, Encodec->MusicgenMelody, padding_mask->attention_mask, input_values->input_features
 class MusicgenMelodyProcessorTest(unittest.TestCase):
     def setUp(self):
         # Ignore copy

tests/models/paligemma/test_processing_paligemma.py

@@ -48,7 +48,7 @@ class PaliGemmaProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     def tearDownClass(cls):
         shutil.rmtree(cls.tmpdirname, ignore_errors=True)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/qwen2_5_vl/test_processing_qwen2_5_vl.py

@@ -65,7 +65,7 @@ class Qwen2_5_VLProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     def tearDownClass(cls):
         shutil.rmtree(cls.tmpdirname, ignore_errors=True)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/qwen2_vl/test_processing_qwen2_vl.py

@@ -68,7 +68,7 @@ class Qwen2VLProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     def tearDownClass(cls):
         shutil.rmtree(cls.tmpdirname, ignore_errors=True)
 
-    # Copied from tests.models.llava.test_processor_llava.LlavaProcessorTest.test_get_num_vision_tokens
+    # Copied from tests.models.llava.test_processing_llava.LlavaProcessorTest.test_get_num_vision_tokens
     def test_get_num_vision_tokens(self):
         "Tests general functionality of the helper used internally in vLLM"
 

tests/models/seamless_m4t/test_processing_seamless_m4t.py

@@ -76,7 +76,7 @@ class SeamlessM4TProcessorTest(unittest.TestCase):
         tokenizer_instance = isinstance(processor.tokenizer, (SeamlessM4TTokenizerFast, SeamlessM4TTokenizer))
         self.assertTrue(tokenizer_instance)
 
-    # Copied from test.models.whisper.test_processor_whisper.WhisperProcessorTest.test_feature_extractor with Whisper->SeamlessM4T
+    # Copied from test.models.whisper.test_processing_whisper.WhisperProcessorTest.test_feature_extractor with Whisper->SeamlessM4T
     def test_feature_extractor(self):
         feature_extractor = self.get_feature_extractor()
         tokenizer = self.get_tokenizer()
@@ -91,7 +91,7 @@ class SeamlessM4TProcessorTest(unittest.TestCase):
         for key in input_feat_extract:
             self.assertAlmostEqual(input_feat_extract[key].sum(), input_processor[key].sum(), delta=1e-2)
 
-    # Copied from test.models.whisper.test_processor_whisper.WhisperProcessorTest.test_tokenizer with Whisper->SeamlessM4T
+    # Copied from test.models.whisper.test_processing_whisper.WhisperProcessorTest.test_tokenizer with Whisper->SeamlessM4T
     def test_tokenizer(self):
         feature_extractor = self.get_feature_extractor()
         tokenizer = self.get_tokenizer()
@@ -107,7 +107,7 @@ class SeamlessM4TProcessorTest(unittest.TestCase):
         for key in encoded_tok:
             self.assertListEqual(encoded_tok[key], encoded_processor[key])
 
-    # Copied from test.models.whisper.test_processor_whisper.WhisperProcessorTest.test_tokenizer_decode with Whisper->SeamlessM4T
+    # Copied from test.models.whisper.test_processing_whisper.WhisperProcessorTest.test_tokenizer_decode with Whisper->SeamlessM4T
     def test_tokenizer_decode(self):
         feature_extractor = self.get_feature_extractor()
         tokenizer = self.get_tokenizer()

tests/models/smolvlm/test_processing_smolvlm.py

@@ -297,7 +297,7 @@ class SmolVLMProcessorTest(ProcessorTesterMixin, unittest.TestCase):
         self.assertEqual(np.array(inputs["pixel_values"]).shape, (2, 2, 3, 512, 512))
         self.assertEqual(np.array(inputs["pixel_attention_mask"]).shape, (2, 2, 512, 512))
 
-    # Copied from tests.models.idefics2.test_processor_idefics2.Idefics2ProcessorTest.test_process_interleaved_images_prompts_image_error
+    # Copied from tests.models.idefics2.test_processing_idefics2.Idefics2ProcessorTest.test_process_interleaved_images_prompts_image_error
     def test_process_interleaved_images_prompts_image_error(self):
         processor = self.get_processor()