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CI: suppress npdev warnings #41730

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Merged
merged 2 commits into from
May 31, 2021
Merged

CI: suppress npdev warnings #41730

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554a96c
CI: suppress npdev warnings
jbrockmendel May 30, 2021
65fd0bc
fix warning issued during collection
jbrockmendel May 30, 2021
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7 changes: 7 additions & 0 deletions pandas/conftest.py
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Original file line number Diff line number Diff line change
Expand Up @@ -66,6 +66,11 @@
MultiIndex,
)

# Until https://github.com/numpy/numpy/issues/19078 is sorted out, just suppress
suppress_npdev_promotion_warning = pytest.mark.filterwarnings(
"ignore:Promotion of numbers and bools:FutureWarning"
)

# ----------------------------------------------------------------
# Configuration / Settings
# ----------------------------------------------------------------
Expand Down Expand Up @@ -112,6 +117,8 @@ def pytest_collection_modifyitems(items):
if "/frame/" in item.nodeid:
item.add_marker(pytest.mark.arraymanager)

item.add_marker(suppress_npdev_promotion_warning)


# Hypothesis
hypothesis.settings.register_profile(
Expand Down
2 changes: 1 addition & 1 deletion pandas/tests/arithmetic/test_interval.py
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Expand Up @@ -238,7 +238,7 @@ def test_compare_list_like_nan(self, op, interval_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 import is_numpy_dev

from pandas import (
CategoricalDtype,
DataFrame,
Expand Down Expand Up @@ -171,20 +173,28 @@ 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).
(
Expand Down