adding check for duplicate percieved state

dtree_learner.py

@@ -132,9 +132,15 @@ class DTreeLearner(LearnerBase):
             if samp in self.debug_neg_conc:
                 self.count_neg_dup+=1
                 print("repeated negative example: "+ str(samp))
-                #raise ValueError()
-            
+                raise ValueError()
+            perc_samp = self._s2f_func(samp)
+            if perc_samp in self.debug_neg_perc:
+                print("repeated negative example: "+ str(perc_samp))
+                raise ValueError()
+            self.debug_neg_perc.add(perc_samp)
             self.debug_neg_conc.add(samp)
+            
+         
         print(f"number of negative duplicate {self.count_neg_dup}")
         feature_vec_list = [self._s2f_func(sample) for sample in args]