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fix nightly tests #1368

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Merged
merged 1 commit into from
Sep 11, 2025
Merged

fix nightly tests #1368

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1 change: 0 additions & 1 deletion scripts/test/run.py
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Original file line number Diff line number Diff line change
Expand Up @@ -94,7 +94,6 @@ def nightly_pandas():
"pip",
"install",
"--pre",
"--use-deprecated=legacy-resolver",
"--upgrade",
"--extra-index-url",
"https://pypi.anaconda.org/scientific-python-nightly-wheels/simple",
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2 changes: 1 addition & 1 deletion tests/test_frame.py
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Expand Up @@ -4650,7 +4650,7 @@ def test_unstack() -> None:
df_flt = pd.DataFrame(
[
["a", "b", 1],
["a", "a", 12],
["a", "a", 12.2],
["b", "b", 14],
]
).set_index([0, 1])
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26 changes: 18 additions & 8 deletions tests/test_testing.py
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Expand Up @@ -10,6 +10,7 @@
from typing_extensions import assert_type

from tests import (
PD_LTE_23,
TYPE_CHECKING_INVALID_USAGE,
check,
ensure_clean,
Expand All @@ -20,14 +21,23 @@ def test_types_assert_series_equal() -> None:
s1 = pd.Series([0, 1, 1, 0])
s2 = pd.Series([0, 1, 1, 0])
assert_series_equal(left=s1, right=s2)
assert_series_equal(
s1,
s2,
check_freq=False,
check_categorical=True,
check_flags=True,
check_datetimelike_compat=True,
)
if PD_LTE_23:
assert_series_equal(
s1,
s2,
check_freq=False,
check_categorical=True,
check_flags=True,
check_datetimelike_compat=True,
)
else:
assert_series_equal(
s1,
s2,
check_freq=False,
check_categorical=True,
check_flags=True,
)
if TYPE_CHECKING_INVALID_USAGE:
assert_series_equal( # type: ignore[call-overload] # pyright: ignore[reportCallIssue]
s1,
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8 changes: 6 additions & 2 deletions tests/test_timefuncs.py
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Original file line number Diff line number Diff line change
Expand Up @@ -203,8 +203,12 @@ def test_timestamp_timedelta_series_arithmetic() -> None:
check(assert_type(r4, "pd.Series[float]"), pd.Series, float)
sb = pd.Series([1, 2]) == pd.Series([1, 3])
check(assert_type(sb, "pd.Series[bool]"), pd.Series, np.bool_)
r5 = sb * r1
check(assert_type(r5, "TimedeltaSeries"), pd.Series, pd.Timedelta)

# https://github.com/pandas-dev/pandas/issues/62316
if PD_LTE_23:
r5 = sb * r1
check(assert_type(r5, "TimedeltaSeries"), pd.Series, pd.Timedelta)

r6 = r1 * 4
check(assert_type(r6, "TimedeltaSeries"), pd.Series, pd.Timedelta)

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