added test class for learning with 2 sets

tests/learning_algorithm2_test.py

+# Test learning algorithm with double set observation table
+import os, inspect
+from nose.tools import *
+from learning.learning import LearningAlgorithm, LearningAlgorithm2Sets
+from teachers.ltsteachers import InputOutputTeacher
+from systems.implementations import InputOutputLTS
+from teachers.ltsoracles import InputOutputPowerOracle
+import helpers.graphhelper as gh
+import helpers.bisimulation as bi
+from testing.randomtesting import RandomTester
+
+class TestLearningAlgorithm2:
+
+    def setUp(self):
+        inputs = set(['a','b'])
+        outputs = set(['x','y'])
+        quiescence = 'delta'
+
+        self.I1=InputOutputLTS(5, inputs, outputs, quiescence)
+        self.I1.addTransition(0,'a',1)
+        self.I1.addTransition(0,'a',2)
+        self.I1.addTransition(0,'b',0)
+        self.I1.addTransition(1,'a',0)
+        self.I1.addTransition(1,'b',3)
+        self.I1.addTransition(2,'a',0)
+        self.I1.addTransition(2,'b',3)
+        self.I1.addTransition(2,'x',4)
+        self.I1.addTransition(3,'a',0)
+        self.I1.addTransition(3,'x',4)
+        self.I1.addTransition(3,'b',3)
+        self.I1.addTransition(4,'y',2)
+        self.I1.addTransition(4,'b',4)
+        self.I1.addTransition(4,'a',0)
+
+        self.I1.makeInputEnabled()
+
+        self.T1 = InputOutputTeacher(self.I1)
+        self.O1 = InputOutputPowerOracle(self.I1)
+
+        self.tester = RandomTester(self.T1, 1000, 20)
+
+        self.L1 = LearningAlgorithm2Sets(self.T1, self.O1, self.tester)
+
+
+    def creation_test(self):
+        self._Hminus, self._Hplus = self.L1.run()