[to #42322933] skip dataset test for now

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/9155405

tests/pipelines/test_image_matting.py

@@ -60,7 +60,7 @@ class ImageMattingTest(unittest.TestCase):
         cv2.imwrite('result.png', result['output_png'])
         print(f'Output written to {osp.abspath("result.png")}')
 
-    @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
+    @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
     def test_run_with_modelscope_dataset(self):
         dataset = PyDataset.load('beans', split='train', target='image')
         img_matting = pipeline(Tasks.image_matting, model=self.model_id)

tests/pipelines/test_text_classification.py

@@ -87,7 +87,7 @@ class SequenceClassificationTest(unittest.TestCase):
         result = text_classification(dataset)
         self.printDataset(result)
 
-    @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
+    @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
     def test_run_with_modelscope_dataset(self):
         text_classification = pipeline(task=Tasks.text_classification)
         # loaded from modelscope dataset

tests/pydatasets/test_py_dataset.py

@@ -33,7 +33,7 @@ class ImgPreprocessor(Preprocessor):
 
 class PyDatasetTest(unittest.TestCase):
 
-    @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
+    @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
     def test_ds_basic(self):
         ms_ds_full = PyDataset.load('squad')
         ms_ds_full_hf = hfdata.load_dataset('squad')
@@ -49,7 +49,7 @@ class PyDatasetTest(unittest.TestCase):
         print(next(iter(ms_ds_train)))
         print(next(iter(ms_image_train)))
 
-    @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
+    @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
     @require_torch
     def test_to_torch_dataset_text(self):
         model_id = 'damo/bert-base-sst2'
@@ -64,7 +64,7 @@ class PyDatasetTest(unittest.TestCase):
         dataloader = torch.utils.data.DataLoader(pt_dataset, batch_size=5)
         print(next(iter(dataloader)))
 
-    @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
+    @unittest.skipUnless(test_level() >= 2, 'skip test in current test level')
     @require_tf
     def test_to_tf_dataset_text(self):
         import tensorflow as tf