remove special BooleanArray.sum method

Author: topper-123

pandas/core/arrays/boolean.py

@@ -406,17 +406,6 @@ def _accumulate(
                 name, skipna=skipna, **kwargs
             )
 
-    def sum(
-        self,
-        *,
-        skipna: bool = True,
-        min_count: int = 0,
-        axis: AxisInt | None = 0,
-        **kwargs,
-    ):
-        arr = cast(BaseMaskedArray, self.astype("Int8"))
-        return arr.sum(skipna=skipna, min_count=min_count, axis=axis, **kwargs)
-
     def prod(
         self,
         *,

pandas/core/arrays/masked.py

@@ -1125,16 +1125,16 @@ def _wrap_na_result(self, *, name, axis):
         mask_size = self.shape[1] if axis == 0 else self.shape[0]
         mask = np.ones(mask_size, dtype=bool)
 
-        float_dtype = "float32" if self.dtype == "Float32" else "float64"
+        float_dtyp = "float32" if self.dtype == "Float32" else "float64"
         if name in ["mean", "median", "var", "std", "skew"]:
-            np_dtype = float_dtype
+            np_dtype = float_dtyp
         elif name in ["min", "max"] or self.dtype.itemsize == 8:
             np_dtype = self.dtype.numpy_dtype.name
         else:
             is_windows_or_32bit = is_platform_windows() or not IS64
-            int_dtype = "int32" if is_windows_or_32bit else "int64"
-            uint_dtype = "uint32" if is_windows_or_32bit else "uint64"
-            np_dtype = {"i": int_dtype, "u": uint_dtype, "f": float_dtype}[
+            int_dtyp = "int32" if is_windows_or_32bit else "int64"
+            uint_dtyp = "uint32" if is_windows_or_32bit else "uint64"
+            np_dtype = {"b": int_dtyp, "i": int_dtyp, "u": uint_dtyp, "f": float_dtyp}[
                 self.dtype.kind
             ]