@@ -581,8 +581,7 @@ def test_datetime_property(attr):
581581
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583583@pytest .mark .parametrize (
584- "attr" ,
585- ["days" , "seconds" , "microseconds" , "nanoseconds" , "components" ],
584+ "attr" , ["days" , "seconds" , "microseconds" , "nanoseconds" , "components" ],
586585)
587586def test_timedelta_property (attr ):
588587 s = pd .Series (pd .timedelta_range ("2000" , periods = 4 ))
@@ -626,8 +625,7 @@ def test_categorical_accessor(method):
626625
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628627@pytest .mark .parametrize (
629- "obj" ,
630- [pd .Series ([0 , 0 ]), pd .DataFrame ({"A" : [0 , 1 ], "B" : [1 , 2 ]})],
628+ "obj" , [pd .Series ([0 , 0 ]), pd .DataFrame ({"A" : [0 , 1 ], "B" : [1 , 2 ]})],
631629)
632630@pytest .mark .parametrize (
633631 "method" ,
@@ -646,8 +644,7 @@ def test_groupby_finalize(obj, method):
646644
647645
648646@pytest .mark .parametrize (
649- "obj" ,
650- [pd .Series ([0 , 0 ]), pd .DataFrame ({"A" : [0 , 1 ], "B" : [1 , 2 ]})],
647+ "obj" , [pd .Series ([0 , 0 ]), pd .DataFrame ({"A" : [0 , 1 ], "B" : [1 , 2 ]})],
651648)
652649@pytest .mark .parametrize (
653650 "method" ,
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