Adjust tests.

Author: drvinceknight

axelrod/tests/strategies/test_meta.py

@@ -369,7 +369,7 @@ class TestMetaMajorityFiniteMemory(TestMetaPlayer):
     }
 
     def test_strategy(self):
-        actions = [(C, C), (C, D), (D, C), (C, D), (C, C)]
+        actions = [(C, C), (C, D), (D, C), (C, D), (D, C)]
         self.versus_test(opponent=axelrod.Alternator(), expected_actions=actions)
 
 
@@ -430,7 +430,7 @@ class TestMetaWinnerFiniteMemory(TestMetaPlayer):
     }
 
     def test_strategy(self):
-        actions = [(C, C), (C, D), (C, C), (D, D), (D, C)]
+        actions = [(C, C), (C, D), (C, C), (C, D), (D, C)]
         self.versus_test(opponent=axelrod.Alternator(), expected_actions=actions)
 
 
@@ -578,7 +578,7 @@ class TestNMWEStochastic(TestMetaPlayer):
     }
 
     def test_strategy(self):
-        actions = [(C, C), (C, D), (C, C), (D, D), (D, C)]
+        actions = [(C, C), (C, D), (C, C), (C, D), (D, C)]
         self.versus_test(opponent=axelrod.Alternator(), expected_actions=actions,
                          seed=20)
 
@@ -597,7 +597,7 @@ class TestNMWEFiniteMemory(TestMetaPlayer):
     }
 
     def test_strategy(self):
-        actions = [(C, C), (C, D), (D, C), (D, D), (C, C)]
+        actions = [(C, C), (C, D), (D, C), (D, D), (D, C)]
         self.versus_test(opponent=axelrod.Alternator(), expected_actions=actions)
 
 

axelrod/tests/unit/test_classification.py

@@ -28,8 +28,8 @@ def test_multiple_instances(self):
         P2 = axl.MemoryOnePlayer(four_vector=(1, 0, 0, 1))
         self.assertNotEqual(P1.classifier, P2.classifier)
 
-        P1 = axl.Joss()
-        P2 = axl.Joss(p=0)
+        P1 = axl.FirstByJoss()
+        P2 = axl.FirstByJoss(p=0)
         self.assertNotEqual(P1.classifier, P2.classifier)
 
         P1 = axl.GTFT(p=1)