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/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())