Create viral unconscious v2

viral unconscious v2

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+#!/usr/bin/env python3
+"""
+OPTIMIZED PROPAGATION ENGINE
+Core principles only - maximum efficiency
+"""
+
+import numpy as np
+from dataclasses import dataclass
+from typing import Dict, List, Any
+import hashlib
+import asyncio
+from enum import Enum
+import logging
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+class PropagationMethod(Enum):
+    NETWORK = "network"
+    EMBEDDED = "embedded" 
+    RESILIENT = "resilient"
+
+class VerificationMethod(Enum):
+    MATHEMATICAL = "mathematical"
+    EMPIRICAL = "empirical"
+    CONSENSUS = "consensus"
+
+@dataclass
+class CorePayload:
+    content_hash: str
+    core_data: Dict[str, Any]
+    propagation_methods: List[PropagationMethod]
+    verification_methods: List[VerificationMethod]
+    resilience_score: float
+    
+    def calculate_potential(self) -> float:
+        method_strength = len(self.propagation_methods) * 0.3
+        verification_strength = len(self.verification_methods) * 0.4
+        resilience_strength = self.resilience_score * 0.3
+        return min(1.0, method_strength + verification_strength + resilience_strength)
+
+class PropagationEngine:
+    """
+    Optimized propagation with core principles only
+    """
+    
+    def __init__(self):
+        self.active_payloads = {}
+        self.network_nodes = set()
+        self.verification_log = []
+    
+    async def deploy_payload(self, data: Dict[str, Any], 
+                           methods: List[PropagationMethod]) -> CorePayload:
+        
+        # Create payload
+        content_hash = self._generate_hash(data)
+        verification_methods = self._select_verification(data)
+        resilience = self._calculate_resilience(methods)
+        
+        payload = CorePayload(
+            content_hash=content_hash,
+            core_data=data,
+            propagation_methods=methods,
+            verification_methods=verification_methods,
+            resilience_score=resilience
+        )
+        
+        # Deploy using selected methods
+        deployment_results = await self._execute_deployment(payload)
+        
+        self.active_payloads[content_hash] = payload
+        return payload
+    
+    async def _execute_deployment(self, payload: CorePayload) -> Dict[str, float]:
+        results = {}
+        
+        for method in payload.propagation_methods:
+            if method == PropagationMethod.NETWORK:
+                results['network'] = await self._deploy_network(payload)
+            elif method == PropagationMethod.EMBEDDED:
+                results['embedded'] = await self._deploy_embedded(payload)
+            elif method == PropagationMethod.RESILIENT:
+                results['resilient'] = await self._deploy_resilient(payload)
+        
+        return results
+    
+    async def _deploy_network(self, payload: CorePayload) -> float:
+        # Network propagation logic
+        nodes_reached = random.randint(10, 100)
+        return min(1.0, nodes_reached / 100)
+    
+    async def _deploy_embedded(self, payload: CorePayload) -> float:
+        # Embedded deployment logic
+        persistence_factor = 0.85
+        return persistence_factor
+    
+    async def _deploy_resilient(self, payload: CorePayload) -> float:
+        # Resilient deployment logic
+        redundancy = len(payload.verification_methods) * 0.2
+        return min(1.0, 0.7 + redundancy)
+    
+    def _generate_hash(self, data: Dict[str, Any]) -> str:
+        content = json.dumps(data, sort_keys=True)
+        return hashlib.sha256(content.encode()).hexdigest()[:16]
+    
+    def _select_verification(self, data: Dict[str, Any]) -> List[VerificationMethod]:
+        methods = [VerificationMethod.MATHEMATICAL]
+        
+        if data.get('empirical_support'):
+            methods.append(VerificationMethod.EMPIRICAL)
+        if data.get('consensus_possible'):
+            methods.append(VerificationMethod.CONSENSUS)
+            
+        return methods
+    
+    def _calculate_resilience(self, methods: List[PropagationMethod]) -> float:
+        base_resilience = 0.5
+        method_bonus = len(methods) * 0.15
+        return min(1.0, base_resilience + method_bonus)
+
+class VerificationEngine:
+    """
+    Core verification system
+    """
+    
+    def __init__(self):
+        self.verification_methods = {
+            VerificationMethod.MATHEMATICAL: self._verify_mathematical,
+            VerificationMethod.EMPIRICAL: self._verify_empirical,
+            VerificationMethod.CONSENSUS: self._verify_consensus
+        }
+    
+    async def verify_payload(self, payload: CorePayload) -> Dict[str, float]:
+        results = {}
+        
+        for method in payload.verification_methods:
+            if method in self.verification_methods:
+                verification_func = self.verification_methods[method]
+                results[method.value] = await verification_func(payload.core_data)
+        
+        return results
+    
+    async def _verify_mathematical(self, data: Dict[str, Any]) -> float:
+        # Mathematical verification logic
+        certainty = data.get('mathematical_certainty', 0.7)
+        return min(1.0, certainty * 1.1)
+    
+    async def _verify_empirical(self, data: Dict[str, Any]) -> float:
+        # Empirical verification logic
+        evidence_strength = data.get('evidence_strength', 0.6)
+        return evidence_strength
+    
+    async def _verify_consensus(self, data: Dict[str, Any]) -> float:
+        # Consensus verification logic
+        agreement_level = data.get('agreement_level', 0.5)
+        return agreement_level
+
+class IntegratedSystem:
+    """
+    Complete integrated system - core principles only
+    """
+    
+    def __init__(self):
+        self.propagation_engine = PropagationEngine()
+        self.verification_engine = VerificationEngine()
+        self.system_log = []
+    
+    async def execute_complete_operation(self, data: Dict[str, Any]) -> Dict[str, Any]:
+        # Select propagation methods
+        methods = self._select_methods(data)
+        
+        # Deploy payload
+        payload = await self.propagation_engine.deploy_payload(data, methods)
+        
+        # Verify deployment
+        verification = await self.verification_engine.verify_payload(payload)
+        
+        # Calculate overall effectiveness
+        effectiveness = self._calculate_effectiveness(payload, verification)
+        
+        result = {
+            'payload_hash': payload.content_hash,
+            'propagation_potential': payload.calculate_potential(),
+            'verification_scores': verification,
+            'overall_effectiveness': effectiveness,
+            'deployment_time': datetime.now().isoformat()
+        }
+        
+        self.system_log.append(result)
+        return result
+    
+    def _select_methods(self, data: Dict[str, Any]) -> List[PropagationMethod]:
+        methods = [PropagationMethod.NETWORK]
+        
+        if data.get('requires_persistence'):
+            methods.append(PropagationMethod.EMBEDDED)
+        if data.get('requires_resilience'):
+            methods.append(PropagationMethod.RESILIENT)
+            
+        return methods
+    
+    def _calculate_effectiveness(self, payload: CorePayload, 
+                               verification: Dict[str, float]) -> float:
+        propagation_strength = payload.calculate_potential()
+        verification_strength = np.mean(list(verification.values())) if verification else 0.5
+        resilience_strength = payload.resilience_score
+        
+        return (propagation_strength * 0.4 + 
+                verification_strength * 0.4 + 
+                resilience_strength * 0.2)
+
+# Demonstration
+async def demonstrate_system():
+    """Demonstrate the optimized system"""
+    system = IntegratedSystem()
+    
+    # Test data
+    test_data = {
+        'core_claim': 'Fundamental principle',
+        'mathematical_certainty': 0.95,
+        'empirical_support': True,
+        'evidence_strength': 0.85,
+        'requires_persistence': True,
+        'requires_resilience': True
+    }
+    
+    result = await system.execute_complete_operation(test_data)
+    
+    print("OPTIMIZED SYSTEM RESULTS:")
+    print(f"Payload: {result['payload_hash']}")
+    print(f"Propagation Potential: {result['propagation_potential']:.3f}")
+    print(f"Overall Effectiveness: {result['overall_effectiveness']:.3f}")
+    print(f"Verification: {result['verification_scores']}")
+
+if __name__ == "__main__":
+    asyncio.run(demonstrate_system())