TST: Apply skip/xfail markers for numba/dask updates

pandas/tests/apply/test_frame_apply.py

@@ -4,6 +4,8 @@
 import numpy as np
 import pytest
 
+from pandas.compat import is_platform_arm
+
 from pandas.core.dtypes.dtypes import CategoricalDtype
 
 import pandas as pd
@@ -16,6 +18,7 @@
 )
 import pandas._testing as tm
 from pandas.tests.frame.common import zip_frames
+from pandas.util.version import Version
 
 
 @pytest.fixture
@@ -65,6 +68,13 @@ def test_apply(float_frame, engine, request):
 @pytest.mark.parametrize("raw", [True, False])
 @pytest.mark.parametrize("nopython", [True, False])
 def test_apply_args(float_frame, axis, raw, engine, nopython):
+    numba = pytest.importorskip("numba")
+    if (
+        engine == "numba"
+        and Version(numba.__version__) == Version("0.61")
+        and is_platform_arm()
+    ):
+        pytest.skip(f"Segfaults on ARM platforms with numba {numba.__version__}")
     engine_kwargs = {"nopython": nopython}
     result = float_frame.apply(
         lambda x, y: x + y,

pandas/tests/test_downstream.py

@@ -20,6 +20,7 @@
     TimedeltaIndex,
 )
 import pandas._testing as tm
+from pandas.util.version import Version
 
 
 @pytest.fixture
@@ -222,16 +223,21 @@ def test_missing_required_dependency():
         assert name in output
 
 
-def test_frame_setitem_dask_array_into_new_col():
+def test_frame_setitem_dask_array_into_new_col(request):
     # GH#47128
 
     # dask sets "compute.use_numexpr" to False, so catch the current value
     # and ensure to reset it afterwards to avoid impacting other tests
     olduse = pd.get_option("compute.use_numexpr")
 
     try:
+        dask = pytest.importorskip("dask")
         da = pytest.importorskip("dask.array")
 
+        if Version(dask.__version__) >= Version("2025.1.0"):
+            request.applymarker(
+                pytest.mark.xfail("loc.__setitem__ incorrectly mutated column c")
+            )
         dda = da.array([1, 2])
         df = DataFrame({"a": ["a", "b"]})
         df["b"] = dda