CLN: remove ABCSparseArray

pandas/core/arrays/sparse/array.py

@@ -35,7 +35,7 @@
     is_string_dtype,
     pandas_dtype,
 )
-from pandas.core.dtypes.generic import ABCIndexClass, ABCSeries, ABCSparseArray
+from pandas.core.dtypes.generic import ABCIndexClass, ABCSeries
 from pandas.core.dtypes.missing import isna, na_value_for_dtype, notna
 
 import pandas.core.algorithms as algos
@@ -58,7 +58,7 @@
 _sparray_doc_kwargs = dict(klass="SparseArray")
 
 
-def _get_fill(arr: ABCSparseArray) -> np.ndarray:
+def _get_fill(arr: "SparseArray") -> np.ndarray:
     """
     Create a 0-dim ndarray containing the fill value
 
@@ -83,7 +83,7 @@ def _get_fill(arr: ABCSparseArray) -> np.ndarray:
 
 
 def _sparse_array_op(
-    left: ABCSparseArray, right: ABCSparseArray, op: Callable, name: str
+    left: "SparseArray", right: "SparseArray", op: Callable, name: str
 ) -> Any:
     """
     Perform a binary operation between two arrays.

pandas/core/dtypes/generic.py

@@ -56,7 +56,6 @@ def _check(cls, inst) -> bool:
 ABCSeries = create_pandas_abc_type("ABCSeries", "_typ", ("series",))
 ABCDataFrame = create_pandas_abc_type("ABCDataFrame", "_typ", ("dataframe",))
 
-ABCSparseArray = create_pandas_abc_type("ABCSparseArray", "_subtyp", ("sparse_array",))
 ABCCategorical = create_pandas_abc_type("ABCCategorical", "_typ", ("categorical"))
 ABCDatetimeArray = create_pandas_abc_type("ABCDatetimeArray", "_typ", ("datetimearray"))
 ABCTimedeltaArray = create_pandas_abc_type(

pandas/core/ops/methods.py

@@ -3,7 +3,7 @@
 """
 import operator
 
-from pandas.core.dtypes.generic import ABCDataFrame, ABCSeries, ABCSparseArray
+from pandas.core.dtypes.generic import ABCDataFrame, ABCSeries
 
 from pandas.core.ops.roperator import (
     radd,
@@ -225,10 +225,4 @@ def _create_methods(cls, arith_method, comp_method, bool_method, special):
 
 def _add_methods(cls, new_methods):
     for name, method in new_methods.items():
-        # For most methods, if we find that the class already has a method
-        # of the same name, it is OK to over-write it.  The exception is
-        # inplace methods (__iadd__, __isub__, ...) for SparseArray, which
-        # retain the np.ndarray versions.
-        force = not (issubclass(cls, ABCSparseArray) and name.startswith("__i"))
-        if force or name not in cls.__dict__:
-            setattr(cls, name, method)
+        setattr(cls, name, method)

pandas/tests/dtypes/test_generic.py

@@ -35,7 +35,7 @@ def test_abc_types(self):
         assert isinstance(pd.Int64Index([1, 2, 3]), gt.ABCIndexClass)
         assert isinstance(pd.Series([1, 2, 3]), gt.ABCSeries)
         assert isinstance(self.df, gt.ABCDataFrame)
-        assert isinstance(self.sparse_array, gt.ABCSparseArray)
+        assert isinstance(self.sparse_array, gt.ABCExtensionArray)
         assert isinstance(self.categorical, gt.ABCCategorical)
 
         assert isinstance(pd.DateOffset(), gt.ABCDateOffset)