🚨 🚨 Setup -> setupclass conversion (#37282)

* More limited setup -> setupclass conversion

* make fixup

* Trigger tests

* Fixup UDOP

* Missed a spot

* tearDown -> tearDownClass where appropriate

* Couple more class fixes

* Fixups for UDOP and VisionTextDualEncoder

* Ignore errors when removing the tmpdir, in case it already got cleaned up somewhere

* CLIP fixes

* More correct classmethods

* Wav2Vec2Bert fixes

* More methods become static

* More class methods

* More class methods

* Revert changes for integration tests / modeling files

* Use a different tempdir for tests that actually write to it

* Remove addClassCleanup and just use teardownclass

* Remove changes in modeling files

* Cleanup get_processor_dict() for got_ocr2

* Fix regression on Wav2Vec2BERT test that was masked by this before

* Rework tests that modify the tmpdir

* make fix-copies

* revert clvp modeling test changes

* Fix CLIP processor test

* make fix-copies

tests/models/chameleon/test_processor_chameleon.py

@@ -33,11 +33,12 @@ SAMPLE_VOCAB = get_tests_dir("fixtures/test_sentencepiece.model")
 class ChameleonProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     processor_class = ChameleonProcessor
 
-    def setUp(self):
-        self.tmpdirname = tempfile.mkdtemp()
+    @classmethod
+    def setUpClass(cls):
+        cls.tmpdirname = tempfile.mkdtemp()
         image_processor = ChameleonImageProcessor()
         tokenizer = LlamaTokenizer(vocab_file=SAMPLE_VOCAB)
         tokenizer.pad_token_id = 0
         tokenizer.sep_token_id = 1
-        processor = self.processor_class(image_processor=image_processor, tokenizer=tokenizer)
-        processor.save_pretrained(self.tmpdirname)
+        processor = cls.processor_class(image_processor=image_processor, tokenizer=tokenizer)
+        processor.save_pretrained(cls.tmpdirname)