delay fixing windows and 32bit failures

Author: topper-123

Diff for: pandas/core/arrays/masked.py

@@ -57,7 +57,6 @@
     notna,
 )
 
-import pandas as pd
 from pandas.core import (
     algorithms as algos,
     arraylike,
@@ -1102,7 +1101,7 @@ def _wrap_reduction_result(self, name: str, result, skipna, **kwargs):
                 mask = self._mask.any(axis=axis)
 
             return self._maybe_mask_result(result, mask)
-        elif result is pd.NA and self.ndim == 2:
+        elif result is libmissing.NA and self.ndim == 2:
             result = self._wrap_na_result(name=name, axis=axis)
             return result
         return result

Diff for: pandas/tests/extension/masked_shared.py

@@ -67,18 +67,19 @@ def check_reduce(self, ser: pd.Series, op_name: str, skipna: bool):
     def check_reduce_with_wrap(self, ser: pd.Series, op_name: str, skipna: bool):
         if op_name in ["count", "kurt", "sem"]:
             pytest.skip(f"{op_name} not an array method")
+        elif is_platform_windows() or not IS64:
+            pytest.skip("tests for platform not written yet")
 
         arr = ser.array
 
-        float32_cond = arr.dtype == "Float32" or (is_platform_windows() or not IS64)
-        float_dtype = "Float32" if float32_cond else "Float64"
-
-        if op_name in ["mean", "median", "var", "std", "skew"]:
-            cmp_dtype = float_dtype
+        if tm.is_float_dtype(arr.dtype):
+            cmp_dtype = arr.dtype
+        elif op_name in ["mean", "median", "var", "std", "skew"]:
+            cmp_dtype = "Float64"
         elif op_name in ["max", "min"]:
-            cmp_dtype = arr.dtype.name
+            cmp_dtype = arr.dtype
         else:
-            cmp_dtype = {"i": "Int64", "u": "UInt64", "f": float_dtype}[arr.dtype.kind]
+            cmp_dtype = {"i": "Int64", "u": "UInt64", "f": "Float64"}[arr.dtype.kind]
 
         result = arr._reduce_with_wrap(op_name, skipna=skipna, kwargs={})
         if not skipna and ser.isna().any():