fix: mac_arm

Author: cmp0xff

tests/__init__.py

@@ -5,7 +5,6 @@
     nullcontext,
     suppress,
 )
-import os
 import platform
 import sys
 from typing import (
@@ -464,8 +463,8 @@
     np_ndarray_td: TypeAlias = npt.NDArray[np.timedelta64]
 
 TYPE_CHECKING_INVALID_USAGE: Final = TYPE_CHECKING
-WINDOWS = os.name == "nt" or "cygwin" in platform.system().lower()
-MAC_ARM = sys.platform == "darwin" and platform.processor() == "arm64"
+WINDOWS = sys.platform in {"win32", "cygwin"}
+MAC_ARM = sys.platform == "darwin" and platform.processor() == "arm"
 PD_LTE_23 = Version(pd.__version__) < Version("2.3.999")
 NUMPY20 = np.lib.NumpyVersion(np.__version__) >= "2.0.0"
 
@@ -671,5 +670,5 @@ def pytest_warns_bounded(
     return suppress(upper_exception)
 
 
-def skip_platform(dtype: type | str | ExtensionDtype) -> bool:
+def is_dtype_invalid_for_platform(dtype: type | str | ExtensionDtype) -> bool:
     return (WINDOWS or MAC_ARM) and dtype in {"f16", "float128"}

tests/arrays/test_floating_array.py

@@ -10,7 +10,7 @@
     PANDAS_FLOAT_ARGS,
     PandasFloatDtypeArg,
     check,
-    skip_platform,
+    is_dtype_invalid_for_platform,
 )
 
 
@@ -32,8 +32,8 @@ def test_constructor() -> None:
 
 @pytest.mark.parametrize(("dtype", "target_dtype"), PANDAS_FLOAT_ARGS.items(), ids=repr)
 def test_constructor_dtype(dtype: PandasFloatDtypeArg, target_dtype: type) -> None:
-    if skip_platform(dtype):
-        with pytest.raises(TypeError):
+    if is_dtype_invalid_for_platform(dtype):
+        with pytest.raises(TypeError, match=rf"data type {dtype!r} not understood"):
             assert_type(pd.array([1.0], dtype=dtype), FloatingArray)
     else:
         check(pd.array([1.0], dtype=dtype), FloatingArray, target_dtype)

tests/indexes/test_index_float.py

@@ -10,7 +10,7 @@
     TYPE_FLOAT_NOT_NUMPY16_ARGS,
     PandasAstypeFloatDtypeArg,
     check,
-    skip_platform,
+    is_dtype_invalid_for_platform,
 )
 
 if TYPE_CHECKING:
@@ -52,8 +52,8 @@ def test_constructor() -> None:
 def test_constructor_dtype(
     dtype: "FloatNotNumpy16DtypeArg", target_dtype: type
 ) -> None:
-    if skip_platform(dtype):
-        with pytest.raises(TypeError):
+    if is_dtype_invalid_for_platform(dtype):
+        with pytest.raises(TypeError, match=rf"data type {dtype!r} not understood"):
             assert_type(pd.Index([1.0], dtype=dtype), "pd.Index[float]")
     else:
         check(pd.Index([1.0], dtype=dtype), pd.Index, target_dtype)
@@ -110,8 +110,8 @@ def test_astype_float(
 ) -> None:
     s = pd.Index([1, 2, 3])
 
-    if skip_platform(cast_arg):
-        with pytest.raises(TypeError):
+    if is_dtype_invalid_for_platform(cast_arg):
+        with pytest.raises(TypeError, match=rf"data type {cast_arg!r} not understood"):
             assert_type(s.astype(cast_arg), "pd.Index[float]")
     else:
         check(s.astype(cast_arg), pd.Index, target_type)

tests/series/test_series_float.py

@@ -11,7 +11,7 @@
     FloatDtypeArg,
     PandasAstypeFloatDtypeArg,
     check,
-    skip_platform,
+    is_dtype_invalid_for_platform,
 )
 
 
@@ -46,8 +46,8 @@ def test_constructor() -> None:
 
 @pytest.mark.parametrize(("dtype", "target_dtype"), TYPE_FLOAT_ARGS.items())
 def test_constructor_dtype(dtype: FloatDtypeArg, target_dtype: type) -> None:
-    if skip_platform(dtype):
-        with pytest.raises(TypeError):
+    if is_dtype_invalid_for_platform(dtype):
+        with pytest.raises(TypeError, match=rf"data type {dtype!r} not understood"):
             assert_type(pd.Series([1.0], dtype=dtype), "pd.Series[float]")
     else:
         check(pd.Series([1.0], dtype=dtype), pd.Series, target_dtype)
@@ -102,8 +102,8 @@ def test_astype_float(
 ) -> None:
     s = pd.Series([1, 2, 3])
 
-    if skip_platform(cast_arg):
-        with pytest.raises(TypeError):
+    if is_dtype_invalid_for_platform(cast_arg):
+        with pytest.raises(TypeError, match=rf"data type {cast_arg!r} not understood"):
             assert_type(s.astype(cast_arg), "pd.Series[float]")
     else:
         check(s.astype(cast_arg), pd.Series, target_type)