Fix quality due to ruff release

tests/pipelines/test_pipelines_automatic_speech_recognition.py

@@ -56,11 +56,8 @@ if is_torch_available():
 
 @is_pipeline_test
 class AutomaticSpeechRecognitionPipelineTests(unittest.TestCase):
-    model_mapping = {
-        k: v
-        for k, v in (list(MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING.items()) if MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING else [])
-        + (MODEL_FOR_CTC_MAPPING.items() if MODEL_FOR_CTC_MAPPING else [])
-    }
+    model_mapping = dict((list(MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING.items()) if MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING else [])
+        + (MODEL_FOR_CTC_MAPPING.items() if MODEL_FOR_CTC_MAPPING else []))
 
     def get_test_pipeline(self, model, tokenizer, processor):
         if tokenizer is None:

tests/pipelines/test_pipelines_image_segmentation.py

@@ -80,14 +80,11 @@ def mask_to_test_readable_only_shape(mask: Image) -> Dict:
 @require_timm
 @require_torch
 class ImageSegmentationPipelineTests(unittest.TestCase):
-    model_mapping = {
-        k: v
-        for k, v in (
+    model_mapping = dict((
             list(MODEL_FOR_IMAGE_SEGMENTATION_MAPPING.items()) if MODEL_FOR_IMAGE_SEGMENTATION_MAPPING else []
         )
         + (MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING.items() if MODEL_FOR_SEMANTIC_SEGMENTATION_MAPPING else [])
-        + (MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING.items() if MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING else [])
-    }
+        + (MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING.items() if MODEL_FOR_INSTANCE_SEGMENTATION_MAPPING else []))
 
     def get_test_pipeline(self, model, tokenizer, processor):
         image_segmenter = ImageSegmentationPipeline(model=model, image_processor=processor)