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Backport PR #41730: CI: suppress npdev warnings #41762

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Merged
merged 2 commits into from
Jun 1, 2021
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Backport PR #41730: CI: suppress npdev warnings #41762

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941ca21
Backport PR #41730: CI: suppress npdev warnings
jbrockmendel May 31, 2021
8307197
fixup
simonjayhawkins Jun 1, 2021
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2 changes: 1 addition & 1 deletion ci/azure/posix.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -62,7 +62,7 @@ jobs:
ENV_FILE: ci/deps/azure-38-numpydev.yaml
CONDA_PY: "38"
PATTERN: "not slow and not network"
TEST_ARGS: "-W error"
TEST_ARGS: "-W error -W \"ignore:Promotion of numbers and bools:FutureWarning\""
PANDAS_TESTING_MODE: "deprecate"
EXTRA_APT: "xsel"

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1 change: 1 addition & 0 deletions pandas/tests/arithmetic/common.py
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Expand Up @@ -83,6 +83,7 @@ def xbox2(x):
"Invalid comparison between",
"Cannot compare type",
"not supported between",
"could not be promoted",
"invalid type promotion",
(
# GH#36706 npdev 1.20.0 2020-09-28
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2 changes: 1 addition & 1 deletion pandas/tests/arithmetic/test_interval.py
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Expand Up @@ -235,7 +235,7 @@ def test_compare_list_like_nan(self, op, array, nulls_fixture, request):
Categorical(list("abab")),
Categorical(date_range("2017-01-01", periods=4)),
pd.array(list("abcd")),
pd.array(["foo", 3.14, None, object()]),
pd.array(["foo", 3.14, None, object()], dtype=object),
],
ids=lambda x: str(x.dtype),
)
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14 changes: 12 additions & 2 deletions pandas/tests/frame/methods/test_to_records.py
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Expand Up @@ -3,6 +3,8 @@
import numpy as np
import pytest

from pandas.compat.numpy import is_numpy_dev

from pandas import (
CategoricalDtype,
DataFrame,
Expand Down Expand Up @@ -162,20 +164,28 @@ def test_to_records_with_categorical(self):
),
),
# Pass in a type instance.
(
pytest.param(
{"column_dtypes": str},
np.rec.array(
[("0", "1", "0.2", "a"), ("1", "2", "1.5", "bc")],
dtype=[("index", "<i8"), ("A", "<U"), ("B", "<U"), ("C", "<U")],
),
marks=pytest.mark.xfail(
is_numpy_dev,
reason="https://github.com/numpy/numpy/issues/19078",
),
),
# Pass in a dtype instance.
(
pytest.param(
{"column_dtypes": np.dtype("unicode")},
np.rec.array(
[("0", "1", "0.2", "a"), ("1", "2", "1.5", "bc")],
dtype=[("index", "<i8"), ("A", "<U"), ("B", "<U"), ("C", "<U")],
),
marks=pytest.mark.xfail(
is_numpy_dev,
reason="https://github.com/numpy/numpy/issues/19078",
),
),
# Pass in a dictionary (name-only).
(
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1 change: 1 addition & 0 deletions pandas/tests/frame/test_arithmetic.py
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Expand Up @@ -79,6 +79,7 @@ def check(df, df2):
msgs = [
r"Invalid comparison between dtype=datetime64\[ns\] and ndarray",
"invalid type promotion",
"could not be promoted",
(
# npdev 1.20.0
r"The DTypes <class 'numpy.dtype\[.*\]'> and "
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