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Description: Fix arch-specific upstream xfails
We test on more architectures, so upstream's xfails are not always
correct everywhere. On those known to fail:
arm64 xfail -> all non-x86 xfail
x86 or unconditional strict xfail -> unconditional nonstrict xfail
pandas/tests/window/test_rolling.py also gets an i386 xfail for
rounding error that may be x87 excess precision
Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Bug: https://github.com/pandas-dev/pandas/issues/38921, https://github.com/pandas-dev/pandas/issues/38798, https://github.com/pandas-dev/pandas/issues/41740, https://github.com/numpy/numpy/issues/19146
Forwarded: no
--- a/pandas/tests/window/test_rolling.py
+++ b/pandas/tests/window/test_rolling.py
@@ -13,7 +13,12 @@ import pytest
from pandas.compat import (
is_platform_arm,
is_platform_mac,
+ IS64,
)
+import platform
+import re
+is_platform_x86_64 = bool(re.match('i.?86|x86',platform.uname()[4])) and IS64
+
from pandas.errors import UnsupportedFunctionCall
from pandas import (
@@ -1195,7 +1200,7 @@ def test_rolling_sem(frame_or_series):
tm.assert_series_equal(result, expected)
-@pytest.mark.xfail(is_platform_arm() and not is_platform_mac(), reason="GH 38921")
+@pytest.mark.xfail(not is_platform_x86_64, strict=False, reason="GH 38921")
@pytest.mark.parametrize(
("func", "third_value", "values"),
[
--- a/pandas/tests/groupby/test_groupby.py
+++ b/pandas/tests/groupby/test_groupby.py
@@ -2587,7 +2587,7 @@ def test_groupby_series_with_tuple_name(
tm.assert_series_equal(result, expected)
-@pytest.mark.xfail(not IS64, reason="GH#38778: fail on 32-bit system")
+@pytest.mark.xfail(not IS64, reason="GH#38778: fail on 32-bit system", strict=False)
@pytest.mark.parametrize(
"func, values", [("sum", [97.0, 98.0]), ("mean", [24.25, 24.5])]
)
@@ -2600,7 +2600,7 @@ def test_groupby_numerical_stability_sum
tm.assert_frame_equal(result, expected)
-@pytest.mark.xfail(not IS64, reason="GH#38778: fail on 32-bit system")
+@pytest.mark.xfail(not IS64, reason="GH#38778: fail on 32-bit system", strict=False)
def test_groupby_numerical_stability_cumsum():
# GH#38934
data = [1e16, 1e16, 97, 98, -5e15, -5e15, -5e15, -5e15]
--- a/pandas/tests/tools/test_to_numeric.py
+++ b/pandas/tests/tools/test_to_numeric.py
@@ -760,7 +760,7 @@ def test_to_numeric_from_nullable_string
"UInt64",
"signed",
"UInt64",
- marks=pytest.mark.xfail(not is_platform_arm(), reason="GH38798"),
+ marks=pytest.mark.xfail(strict=False, reason="GH38798"),
),
([1, 1], "Int64", "unsigned", "UInt8"),
([1.0, 1.0], "Float32", "unsigned", "UInt8"),
--- a/pandas/tests/io/parser/test_c_parser_only.py
+++ b/pandas/tests/io/parser/test_c_parser_only.py
@@ -29,6 +29,9 @@ from pandas import (
concat,
)
import pandas._testing as tm
+import platform
+import re
+is_platform_x86 = bool(re.match('i.?86|x86',platform.uname()[4]))
@pytest.mark.parametrize(
@@ -680,9 +683,9 @@ def test_float_precision_options(c_parse
df3 = parser.read_csv(StringIO(s), float_precision="legacy")
- if IS64:
+ if is_platform_x86 and IS64:
assert not df.iloc[0, 0] == df3.iloc[0, 0]
- else:
+ elif is_platform_x86:
assert df.iloc[0, 0] == df3.iloc[0, 0]
msg = "Unrecognized float_precision option: junk"
|
