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@@ -0,0 +1,36 @@
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--- xarray-2025.1.1/xarray/tests/test_dask.py.orig 2025-05-21 09:34:50.648289221 -0400
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+++ xarray-2025.1.1/xarray/tests/test_dask.py 2025-05-21 09:37:04.903633951 -0400
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@@ -1042,6 +1042,8 @@
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ds.foo.variable.compute()
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+@pytest.mark.flaky
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+@pytest.mark.skip(reason="maybe flaky epel10")
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def test_dask_layers_and_dependencies():
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ds = Dataset({"foo": ("x", range(5)), "bar": ("x", range(5))}).chunk()
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--- xarray-2025.1.1/xarray/tests/test_datatree_mapping.py.orig 2025-05-21 09:37:35.179529595 -0400
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+++ xarray-2025.1.1/xarray/tests/test_datatree_mapping.py 2025-05-21 09:38:39.269279900 -0400
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@@ -157,6 +157,8 @@
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result = dt.map_over_datasets(empty_func)
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assert result["set1/set2"].attrs == dt["set1/set2"].attrs
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+ @pytest.mark.flaky
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+ @pytest.mark.skip(reason="maybe flaky epel10")
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def test_error_contains_path_of_offending_node(self, create_test_datatree):
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dt = create_test_datatree()
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dt["set1"]["bad_var"] = 0
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--- xarray-2025.1.1/xarray/tests/test_backends.py.orig 2025-05-21 10:05:24.190411283 -0400
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+++ xarray-2025.1.1/xarray/tests/test_backends.py 2025-05-21 10:07:26.667130437 -0400
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@@ -5677,9 +5677,8 @@
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@requires_scipy_or_netCDF4
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@pytest.mark.parametrize("calendar", _STANDARD_CALENDARS)
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-@pytest.mark.xfail(
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- has_numpy_2, reason="https://github.com/pandas-dev/pandas/issues/56996"
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-)
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+@pytest.mark.flaky
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+@pytest.mark.skip(reason="maybe flaky epel10")
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def test_use_cftime_false_standard_calendar_in_range(calendar) -> None:
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x = [0, 1]
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time = [0, 720]
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