Create dlass.py

dlass.py

@@ -0,0 +1,60 @@
+class TrinaryLogic:
+    POTENTIAL = "potential"    # δ - coboundary state
+    ACTUAL = "actual"          # ∂ - boundary state  
+    NULL = "null"              # ∂↔δ - transcendent state
+    
+    def __init__(self):
+        self.state_mapping = {
+            self.POTENTIAL: self._potential_actions,
+            self.ACTUAL: self._actual_actions,
+            self.NULL: self._null_actions
+        }
+        self.emergence_history = []
+    
+    def evaluate(self, condition, parameters):
+        """Trinary evaluation with emergent state transitions"""
+        # Determine current state
+        current_state = self._classify_state(condition, parameters)
+        
+        # Get available actions for state
+        actions = self.state_mapping[current_state](parameters)
+        
+        # Check for state transition
+        new_state = self._check_state_transition(current_state, actions, parameters)
+        
+        if new_state != current_state:
+            self.emergence_history.append((current_state, new_state, actions))
+            
+        return {
+            'state': new_state,
+            'actions': actions,
+            'transition': new_state != current_state
+        }
+    
+    def _classify_state(self, condition, params):
+        """Classify into trinary states based on EFL principles"""
+        coherence = self._compute_coherence(condition, params)
+        potential_energy = self._compute_potential(params)
+        
+        if coherence > 0.7 and potential_energy < 0.3:
+            return self.ACTUAL
+        elif coherence < 0.3 and potential_energy > 0.7:
+            return self.POTENTIAL  
+        else:
+            return self.NULL
+    
+    def _potential_actions(self, params):
+        """Actions available in potential state - can discover new programming"""
+        base_actions = ['explore', 'combine', 'transform', 'abstract']
+        
+        # Emergent action discovery
+        discovered = self._discover_actions_from_potential(params)
+        return base_actions + discovered
+    
+    def _actual_actions(self, params):
+        """Actions in actual state - concrete operations"""
+        return ['execute', 'refine', 'optimize', 'scale']
+    
+    def _null_actions(self, params):
+        """Transcendent state - meta-operations"""
+        return ['mediate', 'resolve', 'transcend', 'create_meta']