[tests] fix "Tester object has no attribute '_testMethodName'" (#34910)

* add more cases

* fix method not found in unittest

Signed-off-by: Lin, Fanli <fanli.lin@intel.com>

* fix more cases

* add more models

* add all

* no unittest.case

* remove for oneformer

* fix style

---------

Signed-off-by: Lin, Fanli <fanli.lin@intel.com>

tests/models/audio_spectrogram_transformer/test_feature_extraction_audio_spectrogram_transformer.py

@@ -50,7 +50,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
     return values
 
 
-class ASTFeatureExtractionTester(unittest.TestCase):
+class ASTFeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/beit/test_image_processing_beit.py

@@ -33,7 +33,7 @@ if is_vision_available():
     from transformers import BeitImageProcessor
 
 
-class BeitImageProcessingTester(unittest.TestCase):
+class BeitImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/clap/test_feature_extraction_clap.py

@@ -53,7 +53,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
 @require_torch
 @require_torchaudio
 # Copied from tests.models.whisper.test_feature_extraction_whisper.WhisperFeatureExtractionTester with Whisper->Clap
-class ClapFeatureExtractionTester(unittest.TestCase):
+class ClapFeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/clip/test_image_processing_clip.py

@@ -26,7 +26,7 @@ if is_vision_available():
     from transformers import CLIPImageProcessor
 
 
-class CLIPImageProcessingTester(unittest.TestCase):
+class CLIPImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/clvp/test_feature_extraction_clvp.py

@@ -57,7 +57,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
 
 
 @require_torch
-class ClvpFeatureExtractionTester(unittest.TestCase):
+class ClvpFeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/conditional_detr/test_image_processing_conditional_detr.py

@@ -35,7 +35,7 @@ if is_vision_available():
     from transformers import ConditionalDetrImageProcessor
 
 
-class ConditionalDetrImageProcessingTester(unittest.TestCase):
+class ConditionalDetrImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/dac/test_feature_extraction_dac.py

@@ -51,7 +51,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
 
 @require_torch
 # Copied from transformers.tests.encodec.test_feature_extraction_dac.EncodecFeatureExtractionTester with Encodec->Dac
-class DacFeatureExtractionTester(unittest.TestCase):
+class DacFeatureExtractionTester:
     # Ignore copy
     def __init__(
         self,

tests/models/encodec/test_feature_extraction_encodec.py

@@ -50,7 +50,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
 
 
 @require_torch
-class EnCodecFeatureExtractionTester(unittest.TestCase):
+class EnCodecFeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/grounding_dino/test_image_processing_grounding_dino.py

@@ -37,7 +37,7 @@ if is_vision_available():
     from transformers import GroundingDinoImageProcessor
 
 
-class GroundingDinoImageProcessingTester(unittest.TestCase):
+class GroundingDinoImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/idefics/test_image_processing_idefics.py

@@ -36,7 +36,7 @@ if is_vision_available():
     from transformers import IdeficsImageProcessor
 
 
-class IdeficsImageProcessingTester(unittest.TestCase):
+class IdeficsImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/idefics2/test_image_processing_idefics2.py

@@ -34,7 +34,7 @@ if is_torch_available():
     import torch
 
 
-class Idefics2ImageProcessingTester(unittest.TestCase):
+class Idefics2ImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/llava_next/test_image_processing_llava_next.py

@@ -34,7 +34,7 @@ if is_vision_available():
     from transformers import LlavaNextImageProcessor
 
 
-class LlavaNextImageProcessingTester(unittest.TestCase):
+class LlavaNextImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/llava_next_video/test_image_processing_llava_next_video.py

@@ -33,7 +33,7 @@ if is_vision_available():
     from transformers import LlavaNextVideoImageProcessor
 
 
-class LlavaNextVideoProcessingTester(unittest.TestCase):
+class LlavaNextVideoProcessingTester:
     def __init__(
         self,
         parent,

tests/models/llava_onevision/test_image_processing_llava_onevision.py

@@ -33,7 +33,7 @@ if is_vision_available():
     from transformers import LlavaOnevisionImageProcessor, LlavaOnevisionVideoProcessor
 
 
-class LlavaOnevisionImageProcessingTester(unittest.TestCase):
+class LlavaOnevisionImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/markuplm/test_feature_extraction_markuplm.py

@@ -26,7 +26,7 @@ if is_bs4_available():
     from transformers import MarkupLMFeatureExtractor
 
 
-class MarkupLMFeatureExtractionTester(unittest.TestCase):
+class MarkupLMFeatureExtractionTester:
     def __init__(self, parent):
         self.parent = parent
 

tests/models/mask2former/test_image_processing_mask2former.py

@@ -39,7 +39,7 @@ if is_vision_available():
     from PIL import Image
 
 
-class Mask2FormerImageProcessingTester(unittest.TestCase):
+class Mask2FormerImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/maskformer/test_image_processing_maskformer.py

@@ -38,7 +38,7 @@ if is_vision_available():
     from PIL import Image
 
 
-class MaskFormerImageProcessingTester(unittest.TestCase):
+class MaskFormerImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/musicgen_melody/test_feature_extraction_musicgen_melody.py

@@ -69,7 +69,7 @@ def get_bip_bip(bip_duration=0.125, duration=0.5, sample_rate=32000):
 
 @require_torch
 @require_torchaudio
-class MusicgenMelodyFeatureExtractionTester(unittest.TestCase):
+class MusicgenMelodyFeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/oneformer/test_image_processing_oneformer.py

@@ -39,7 +39,7 @@ if is_vision_available():
     from PIL import Image
 
 
-class OneFormerImageProcessorTester(unittest.TestCase):
+class OneFormerImageProcessorTester:
     def __init__(
         self,
         parent,

tests/models/oneformer/test_processor_oneformer.py

@@ -59,7 +59,7 @@ def prepare_metadata(class_info_file, repo_path="shi-labs/oneformer_demo"):
     return metadata
 
 
-class OneFormerProcessorTester(unittest.TestCase):
+class OneFormerProcessorTester:
     def __init__(
         self,
         parent,

tests/models/pix2struct/test_image_processing_pix2struct.py

@@ -34,7 +34,7 @@ if is_vision_available():
     from transformers import Pix2StructImageProcessor
 
 
-class Pix2StructImageProcessingTester(unittest.TestCase):
+class Pix2StructImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/pixtral/test_image_processing_pixtral.py

@@ -38,7 +38,7 @@ if is_vision_available():
         from transformers import PixtralImageProcessorFast
 
 
-class PixtralImageProcessingTester(unittest.TestCase):
+class PixtralImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/pop2piano/test_feature_extraction_pop2piano.py

@@ -48,7 +48,7 @@ if requirements_available:
     from transformers import Pop2PianoFeatureExtractor
 
 
-class Pop2PianoFeatureExtractionTester(unittest.TestCase):
+class Pop2PianoFeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/qwen2_vl/test_image_processing_qwen2_vl.py

@@ -34,7 +34,7 @@ if is_vision_available():
     from transformers import Qwen2VLImageProcessor
 
 
-class Qwen2VLImageProcessingTester(unittest.TestCase):
+class Qwen2VLImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/seamless_m4t/test_feature_extraction_seamless_m4t.py

@@ -52,7 +52,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
 
 
 @require_torch
-class SeamlessM4TFeatureExtractionTester(unittest.TestCase):
+class SeamlessM4TFeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/segformer/test_image_processing_segformer.py

@@ -33,7 +33,7 @@ if is_vision_available():
     from transformers import SegformerImageProcessor
 
 
-class SegformerImageProcessingTester(unittest.TestCase):
+class SegformerImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/seggpt/test_image_processing_seggpt.py

@@ -35,7 +35,7 @@ if is_vision_available():
     from transformers import SegGptImageProcessor
 
 
-class SegGptImageProcessingTester(unittest.TestCase):
+class SegGptImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/speech_to_text/test_feature_extraction_speech_to_text.py

@@ -48,7 +48,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
 
 @require_torch
 @require_torchaudio
-class Speech2TextFeatureExtractionTester(unittest.TestCase):
+class Speech2TextFeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/speecht5/test_feature_extraction_speecht5.py

@@ -50,7 +50,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
 
 
 @require_torch
-class SpeechT5FeatureExtractionTester(unittest.TestCase):
+class SpeechT5FeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/superpoint/test_image_processing_superpoint.py

@@ -33,7 +33,7 @@ if is_vision_available():
     from transformers import SuperPointImageProcessor
 
 
-class SuperPointImageProcessingTester(unittest.TestCase):
+class SuperPointImageProcessingTester:
     def __init__(
         self,
         parent,

tests/models/univnet/test_feature_extraction_univnet.py

@@ -50,7 +50,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
     return values
 
 
-class UnivNetFeatureExtractionTester(unittest.TestCase):
+class UnivNetFeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/wav2vec2/test_feature_extraction_wav2vec2.py

@@ -44,7 +44,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
     return values
 
 
-class Wav2Vec2FeatureExtractionTester(unittest.TestCase):
+class Wav2Vec2FeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/whisper/test_feature_extraction_whisper.py

@@ -50,7 +50,7 @@ def floats_list(shape, scale=1.0, rng=None, name=None):
     return values
 
 
-class WhisperFeatureExtractionTester(unittest.TestCase):
+class WhisperFeatureExtractionTester:
     def __init__(
         self,
         parent,

tests/models/yolos/test_image_processing_yolos.py

@@ -36,7 +36,7 @@ if is_vision_available():
     from transformers import YolosImageProcessor
 
 
-class YolosImageProcessingTester(unittest.TestCase):
+class YolosImageProcessingTester:
     def __init__(
         self,
         parent,