PORTREVISION=	1

--- scikits/sparse/test_cholmod.py.orig	2015-06-24 10:39:06 UTC

+++ scikits/sparse/test_cholmod.py

@@ -53,17 +53,17 @@ def test_integer_size():

 def test_cholesky_smoke_test():

     f = cholesky(sparse.eye(10, 10) * 1.)

     d = np.arange(20).reshape(10, 2)

-    print "dense"

+    print("dense")

     assert np.allclose(f(d), d)

-    print "sparse"

+    print("sparse")

     s_csc = sparse.csc_matrix(np.eye(10)[:, :2] * 1.)

     assert sparse.issparse(f(s_csc))

     assert np.allclose(f(s_csc).todense(), s_csc.todense())

-    print "csr"

+    print("csr")

     s_csr = s_csc.tocsr()

     assert sparse.issparse(f(s_csr))

     assert np.allclose(f(s_csr).todense(), s_csr.todense())

-    print "extract"

+    print("extract")

     assert np.all(f.P() == np.arange(10))

 def real_matrix():

@@ -193,7 +193,7 @@ def test_cholesky_matrix_market():

             f3.cholesky_AAt_inplace(X.T)

             assert np.allclose(f3(Xty), answer)

-            print problem, mode

+            print(problem, mode)

             for f in (f1, f2, f3, f4):

                 pXtX = XtX.todense()[f.P()[:, np.newaxis],

                                      f.P()[np.newaxis, :]]