🚨 🚨 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/colpali/test_processing_colpali.py

@@ -27,16 +27,18 @@ SAMPLE_VOCAB = get_tests_dir("fixtures/test_sentencepiece.model")
 class ColPaliProcessorTest(ProcessorTesterMixin, unittest.TestCase):
     processor_class = ColPaliProcessor
 
-    def setUp(self):
-        self.tmpdirname = tempfile.mkdtemp()
+    @classmethod
+    def setUpClass(cls):
+        cls.tmpdirname = tempfile.mkdtemp()
         image_processor = SiglipImageProcessor.from_pretrained("google/siglip-so400m-patch14-384")
         image_processor.image_seq_length = 0
         tokenizer = GemmaTokenizer(SAMPLE_VOCAB, keep_accents=True)
         processor = PaliGemmaProcessor(image_processor=image_processor, tokenizer=tokenizer)
-        processor.save_pretrained(self.tmpdirname)
+        processor.save_pretrained(cls.tmpdirname)
 
-    def tearDown(self):
-        shutil.rmtree(self.tmpdirname)
+    @classmethod
+    def tearDownClass(cls):
+        shutil.rmtree(cls.tmpdirname, ignore_errors=True)
 
     @require_torch
     @require_vision