CI: suppress npdev warnings (#41730)

Author: jbrockmendel

pandas/conftest.py

@@ -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
 # ----------------------------------------------------------------
@@ -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(

pandas/tests/arithmetic/test_interval.py

@@ -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),
     )

pandas/tests/frame/methods/test_to_records.py

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