@@ -34,7 +34,7 @@ class CustomDataset(BaseDataset):
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class TestBaseDataset :
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- def setup (self ):
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+ def setup_method (self ):
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self .data_info = dict (
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filename = 'test_img.jpg' , height = 604 , width = 640 , sample_idx = 0 )
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self .imgs = torch .rand ((2 , 3 , 32 , 32 ))
@@ -43,7 +43,7 @@ def setup(self):
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BaseDataset .parse_data_info = MagicMock (return_value = self .data_info )
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self .pipeline = MagicMock (return_value = dict (imgs = self .imgs ))
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- def teardown (self ):
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+ def teardown_method (self ):
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BaseDataset .METAINFO = self .ori_meta
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BaseDataset .parse_data_info = self .ori_parse_data_info
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@@ -595,7 +595,7 @@ def test_rand_another(self):
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class TestConcatDataset :
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- def setup (self ):
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+ def setup_method (self ):
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dataset = BaseDataset
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# create dataset_a
@@ -726,7 +726,7 @@ def test_get_ori_dataset_idx(self):
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class TestRepeatDataset :
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- def setup (self ):
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+ def setup_method (self ):
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dataset = BaseDataset
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data_info = dict (filename = 'test_img.jpg' , height = 604 , width = 640 )
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dataset .parse_data_info = MagicMock (return_value = data_info )
@@ -797,7 +797,7 @@ def test_get_data_info(self):
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class TestClassBalancedDataset :
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- def setup (self ):
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+ def setup_method (self ):
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dataset = BaseDataset
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data_info = dict (filename = 'test_img.jpg' , height = 604 , width = 640 )
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dataset .parse_data_info = MagicMock (return_value = data_info )
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