silence errors II

Author: topper-123

pandas/core/arrays/masked.py

@@ -1115,7 +1115,9 @@ def _wrap_na_result(self, *, name, axis):
         if name in ["mean", "median", "var", "std", "skew"]:
             np_dtype = float_dtype
         elif name in ["min", "max"]:
-            np_dtype = self.dtype.type
+            # Incompatible types in assignment (expression has type "str", variable has
+            # type "Union[dtype[Any], ExtensionDtype]")
+            np_dtype = self.dtype.type  # type: ignore[assignment]
         else:
             np_dtype = {"i": "int64", "u": "uint64", "f": float_dtype}[self.dtype.kind]
 

pandas/tests/extension/masked_shared.py

@@ -70,7 +70,7 @@ def check_reduce_with_wrap(self, ser: pd.Series, op_name: str, skipna: bool):
 
         arr = ser.array
 
-        float32_cond = arr.dtype == "Float32" and not is_platform_windows()
+        float32_cond = arr.dtype == "Float32" and is_platform_windows() or not IS64
         float_dtype = "Float32" if float32_cond else "Float64"
 
         if op_name in ["mean", "median", "var", "std", "skew"]:

pandas/tests/extension/test_arrow.py

@@ -42,6 +42,7 @@
 
 from pandas.core.dtypes.dtypes import CategoricalDtypeType
 
+from pandas._typing import Dtype
 import pandas as pd
 import pandas._testing as tm
 from pandas.api.types import (
@@ -58,7 +59,6 @@
 pa = pytest.importorskip("pyarrow", minversion="7.0.0")
 
 from pandas.core.arrays.arrow.array import ArrowExtensionArray
-
 from pandas.core.arrays.arrow.dtype import ArrowDtype  # isort:skip
 
 
@@ -513,10 +513,10 @@ def check_reduce_with_wrap(self, ser: pd.Series, op_name: str, skipna: bool):
         kwargs = {"ddof": 1} if op_name in ["var", "std"] else {}
 
         if op_name in ["max", "min"]:
-            cmp_dtype = arr.dtype.name
+            cmp_dtype: Dtype = arr.dtype
         elif arr.dtype.name == "decimal128(7, 3)[pyarrow]":
             if op_name not in ["median", "var", "std"]:
-                cmp_dtype = arr.dtype.name
+                cmp_dtype = arr.dtype
             else:
                 cmp_dtype = "float64[pyarrow]"
         elif op_name in ["median", "var", "std", "mean", "skew"]: