Fix eigenvalue tests, the eigenvalues needed sorting.

Fix test_nanmin_alnan_on_axis, use assert_array_equal.

2 files changed, 9 insertions, 9 deletions

diff --git a/numpy/lib/tests/test_function_base.py b/numpy/lib/tests/test_function_base.py
index 6b7a1efc2..fc8781fda 100644
--- a/numpy/lib/tests/test_function_base.py
+++ b/numpy/lib/tests/test_function_base.py
@@ -755,7 +755,7 @@ class TestNaNFuncts(TestCase):
                                    [ 0.91084584,  0.84386844,  0.37068164]]))
 
     def test_nanmin_allnan_on_axis(self):
-        assert_equal(isnan(nanmin([[nan]*2]*3, axis=1)),
+        assert_array_equal(isnan(nanmin([[nan]*2]*3, axis=1)),
                      [True, True, True])
 
 
diff --git a/numpy/linalg/tests/test_linalg.py b/numpy/linalg/tests/test_linalg.py
index 3330db2a3..849f30a50 100644
--- a/numpy/linalg/tests/test_linalg.py
+++ b/numpy/linalg/tests/test_linalg.py
@@ -240,22 +240,22 @@ class HermitianTestCase(object):
 
 class TestEigvalsh(HermitianTestCase, TestCase):
     def do(self, a):
+        # note that eigenvalue arrays must be sorted since
+        # their order isn't guaranteed.
         ev = linalg.eigvalsh(a)
-        # flip resulting eigenvalue array, since they are returned in
-        # reverse order from the values given by linal.eig
-        ev = ev[::-1]
-
         evalues, evectors = linalg.eig(a)
+        ev.sort()
+        evalues.sort()
         assert_almost_equal(ev, evalues)
 
 class TestEigh(HermitianTestCase, TestCase):
     def do(self, a):
+        # note that eigenvalue arrays must be sorted since
+        # their order isn't guaranteed.
         ev, evc = linalg.eigh(a)
-        # flip resulting eigenvalue array, since they are returned in
-        # reverse order from the values given by linal.eig
-        ev = ev[::-1]
-
         evalues, evectors = linalg.eig(a)
+        ev.sort()
+        evalues.sort()
         assert_almost_equal(ev, evalues)
 
 class _TestNorm(TestCase):