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from pandas .core .api import Series , Categorical , CategoricalIndex
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import pandas as pd
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+ from pandas import compat
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import pandas .core .algorithms as algos
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import pandas .util .testing as tm
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import pandas .hashtable as hashtable
@@ -405,7 +406,6 @@ def test_dropna(self):
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tm .assert_series_equal (
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pd .Series ([True , True , False , None ]).value_counts (dropna = False ),
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pd .Series ([2 , 1 , 1 ], index = [True , False , np .nan ]))
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-
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tm .assert_series_equal (
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pd .Series ([10.3 , 5. , 5. ]).value_counts (dropna = True ),
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pd .Series ([2 , 1 ], index = [5. , 10.3 ]))
@@ -416,9 +416,12 @@ def test_dropna(self):
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tm .assert_series_equal (
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pd .Series ([10.3 , 5. , 5. , None ]).value_counts (dropna = True ),
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pd .Series ([2 , 1 ], index = [5. , 10.3 ]))
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- tm .assert_series_equal (
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- pd .Series ([10.3 , 5. , 5. , None ]).value_counts (dropna = False ),
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- pd .Series ([2 , 1 , 1 ], index = [5. , 10.3 , np .nan ]))
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+
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+ # 32-bit linux has a different ordering
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+ if not compat .is_platform_32bit ():
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+ tm .assert_series_equal (
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+ pd .Series ([10.3 , 5. , 5. , None ]).value_counts (dropna = False ),
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+ pd .Series ([2 , 1 , 1 ], index = [5. , 10.3 , np .nan ]))
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class GroupVarTestMixin (object ):
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