Skip tests properly (#31308)

* Skip tests properly

* [test_all]

* Add 'reason' as kwarg for skipTest

* [test_all] Fix up

* [test_all]

tests/pipelines/test_pipelines_automatic_speech_recognition.py

@@ -70,9 +70,7 @@ class AutomaticSpeechRecognitionPipelineTests(unittest.TestCase):
         if tokenizer is None:
             # Side effect of no Fast Tokenizer class for these model, so skipping
             # But the slow tokenizer test should still run as they're quite small
-            self.skipTest("No tokenizer available")
-            return
-            # return None, None
+            self.skipTest(reason="No tokenizer available")
 
         speech_recognizer = AutomaticSpeechRecognitionPipeline(
             model=model, tokenizer=tokenizer, feature_extractor=processor
@@ -271,7 +269,7 @@ class AutomaticSpeechRecognitionPipelineTests(unittest.TestCase):
 
     @require_tf
     def test_small_model_tf(self):
-        self.skipTest("Tensorflow not supported yet.")
+        self.skipTest(reason="Tensorflow not supported yet.")
 
     @require_torch
     def test_torch_small_no_tokenizer_files(self):
@@ -1855,7 +1853,7 @@ def require_ffmpeg(test_case):
         subprocess.check_output(["ffmpeg", "-h"], stderr=subprocess.DEVNULL)
         return test_case
     except Exception:
-        return unittest.skip("test requires ffmpeg")(test_case)
+        return unittest.skip(reason="test requires ffmpeg")(test_case)
 
 
 def bytes_iter(chunk_size, chunks):