Backport PR #44362: CI: xfail tests failing on numpy dev (#44370)

Co-authored-by: Ali McMaster <alimcmaster1@gmail.com>

Author: simonjayhawkins

pandas/core/arrays/sparse/scipy_sparse.py

@@ -122,7 +122,7 @@ def coo_to_sparse_series(A, dense_index: bool = False):
 
     Parameters
     ----------
-    A : scipy.sparse.coo.coo_matrix
+    A : scipy.sparse.coo_matrix
     dense_index : bool, default False
 
     Returns

pandas/tests/arrays/sparse/test_array.py

@@ -1204,7 +1204,7 @@ def test_to_coo(self):
             dtype="Sparse[int]",
         )
         A, _, _ = ser.sparse.to_coo()
-        assert isinstance(A, scipy.sparse.coo.coo_matrix)
+        assert isinstance(A, scipy.sparse.coo_matrix)
 
     def test_non_sparse_raises(self):
         ser = pd.Series([1, 2, 3])

pandas/tests/window/moments/test_moments_rolling.py

@@ -558,6 +558,7 @@ def test_rolling_quantile_np_percentile():
     tm.assert_almost_equal(df_quantile.values, np.array(np_percentile))
 
 
+@pytest.mark.xfail(reason="GH#44343", strict=False)
 @pytest.mark.parametrize("quantile", [0.0, 0.1, 0.45, 0.5, 1])
 @pytest.mark.parametrize(
     "interpolation", ["linear", "lower", "higher", "nearest", "midpoint"]