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

Author: simonjayhawkins

ci/azure/posix.yml

@@ -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"
 

pandas/tests/arithmetic/common.py

@@ -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

pandas/tests/arithmetic/test_interval.py

@@ -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),
     )

pandas/tests/frame/methods/test_to_records.py

@@ -3,6 +3,8 @@
 import numpy as np
 import pytest
 
+from pandas.compat.numpy import is_numpy_dev
+
 from pandas import (
     CategoricalDtype,
     DataFrame,
@@ -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).
             (

pandas/tests/frame/test_arithmetic.py

@@ -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 "