⚠️ Nightly upstream-dev CI failed ⚠️

xarray/tests/test_dataarray.py::TestIrisConversion::test_to_and_from_iris: TypeError: Strings must be encoded before hashing
xarray/tests/test_dataarray.py::TestIrisConversion::test_to_and_from_iris_dask: TypeError: Strings must be encoded before hashing
xarray/tests/test_duck_array_ops.py::test_reduce[None-False-min-False-bool-1]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
    array(True)
R
    array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[None-False-min-False-bool-2]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
    array(False)
R
    array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[None-False-max-False-bool-1]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
    array(True)
R
    array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[None-False-max-False-bool-2]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
    array(True)
R
    array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[x-False-min-False-bool-1]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
    array(True)
R
    array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[x-False-min-False-bool-2]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
    array([nan, nan, nan, False, False, False, True, False], dtype=object)
R
    array([nan, nan, nan, nan, nan, nan, nan, nan])
xarray/tests/test_duck_array_ops.py::test_reduce[x-False-max-False-bool-1]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
    array(True)
R
    array(nan)
xarray/tests/test_duck_array_ops.py::test_reduce[x-False-max-False-bool-2]: AssertionError: Left and right DataArray objects are not close
Differing values:
L
    array([nan, nan, nan, False, True, True, True, True], dtype=object)
R
    array([nan, nan, nan, nan, nan, nan, nan, nan])
xarray/tests/test_variable.py::TestAsCompatibleData::test_tz_datetime: pandas.errors.Pandas4Warning: Series.values returning an ndarray that drops timezone information for DatetimeTZDtype is deprecated. In a future version, this will return the underlying DatetimeArray instead. Use 'Series.to_numpy()' to get a NumPy array, or 'Series.array' to get the ExtensionArray.
xarray/tests/test_variable.py::test_datetime_conversion[0   2000-01-01 00:00:00-05:00\ndtype: datetime64[ns, America/New_York]-ns]: pandas.errors.Pandas4Warning: Series.values returning an ndarray that drops timezone information for DatetimeTZDtype is deprecated. In a future version, this will return the underlying DatetimeArray instead. Use 'Series.to_numpy()' to get a NumPy array, or 'Series.array' to get the ExtensionArray.
xarray/tests/test_variable.py::test_pandas_two_only_datetime_conversion_warnings[series-timezone]: pandas.errors.Pandas4Warning: Series.values returning an ndarray that drops timezone information for DatetimeTZDtype is deprecated. In a future version, this will return the underlying DatetimeArray instead. Use 'Series.to_numpy()' to get a NumPy array, or 'Series.array' to get the ExtensionArray.