🚨 🚨 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/donut/test_processor_donut.py

@@ -25,16 +25,17 @@ class DonutProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     from_pretrained_id = "naver-clova-ix/donut-base"
     processor_class = DonutProcessor
 
-    def setUp(self):
-        self.processor = DonutProcessor.from_pretrained(self.from_pretrained_id)
-        self.tmpdirname = tempfile.mkdtemp()
+    @classmethod
+    def setUpClass(cls):
+        cls.processor = DonutProcessor.from_pretrained(cls.from_pretrained_id)
+        cls.tmpdirname = tempfile.mkdtemp()
 
         image_processor = DonutImageProcessor()
-        tokenizer = XLMRobertaTokenizerFast.from_pretrained(self.from_pretrained_id)
+        tokenizer = XLMRobertaTokenizerFast.from_pretrained(cls.from_pretrained_id)
 
         processor = DonutProcessor(image_processor, tokenizer)
 
-        processor.save_pretrained(self.tmpdirname)
+        processor.save_pretrained(cls.tmpdirname)
 
     def test_token2json(self):
         expected_json = {