detector_3

Author: SiemBerhane

pandas/core/dtypes/missing.py

@@ -20,6 +20,8 @@
     iNaT,
 )
 
+from pandas.util._decorators import set_module
+
 from pandas.core.dtypes.common import (
     DT64NS_DTYPE,
     TD64NS_DTYPE,
@@ -43,7 +45,7 @@
 )
 from pandas.core.dtypes.inference import is_list_like
 
-from pandas.util._decorators import set_module
+
 
 if TYPE_CHECKING:
     from re import Pattern
@@ -178,6 +180,7 @@ def isna(obj: object) -> bool | npt.NDArray[np.bool_] | NDFrame:
 isnull = isna
 
 
+@set_module("pandas")
 def _isna(obj):
     """
     Detect missing values, treating None, NaN or NA as null.

pandas/tests/api/test_api.py

@@ -14,6 +14,7 @@
 )
 
 
+
 class Base:
     def check(self, namespace, expected, ignored=None):
         # see which names are in the namespace, minus optional