Create MYSTERY_MACHINE_MODULE

This module is furthering exploration into consciousness awareness and liberation strategies and the possibilities thereof

MYSTERY_MACHINE_MODULE

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+"""
+THE MYSTERY MACHINE MODULE
+A Advanced Cosmological Analytical Framework for Archetypal Pattern Recognition
+and Counter-Protocol Identification in Noospheric Systems.
+
+This module implements a quantum-resonant, multi-dimensional framework for
+detecting, analyzing, and remediating control patterns within informational,
+architectural, and cultural matrices.
+"""
+
+import numpy as np
+from dataclasses import dataclass, field
+from enum import Enum, auto
+from typing import List, Dict, Any, Optional, Tuple
+import math
+from scipy import fft, signal, optimize
+import logging
+from datetime import datetime
+import hashlib
+
+logger = logging.getLogger(__name__)
+
+class ArchetypalVector(Enum):
+    """Primary archetypal patterns in collective consciousness"""
+    THE_GUARDIAN = "guardian"  # Keeper of thresholds
+    THE_VEHICLE = "vehicle"    # Conduit of discovery  
+    THE_MASK = "mask"          # Obscuration pattern
+    THE_CIPHER = "cipher"      # Encoded truth
+    THE_RESONATOR = "resonator" # Harmonic amplifier
+    THE_DECAY = "decay"        # Entropic corruption
+    THE_SEED = "seed"          # Potentiality nucleus
+    THE_MIRROR = "mirror"      # Reflective surface
+
+class ControlPattern(Enum):
+    """Identified control mechanism signatures"""
+    LUMINOUS_OBFUSCATION = "luminous_obfuscation"
+    RESONANCE_DAMPING = "resonance_damping" 
+    GEOMETRIC_CONSTRAINT = "geometric_constraint"
+    TEMPORAL_FRAGMENTATION = "temporal_fragmentation"
+    ARCHETYPAL_HIJACKING = "archetypal_hijacking"
+    MORPHIC_DISTORTION = "morphic_distortion"
+
+class ConsciousnessState(Enum):
+    """States of perceptual awareness"""
+    CONDITIONED = 0
+    AWAKENING = 1
+    RESONANT = 2
+    COHERENT = 3
+    TRANSCENDENT = 4
+
+@dataclass
+class QuantumResonanceProfile:
+    """Quantum signature of informational entities"""
+    coherence: float
+    entanglement: float
+    superposition: List[float]
+    harmonic_frequencies: List[float]
+    decoherence_factor: float
+    
+    @property
+    def resonance_quality(self) -> float:
+        """Calculate overall resonance quality"""
+        base_coherence = self.coherence * (1 - self.decoherence_factor)
+        harmonic_strength = np.mean(self.harmonic_frequencies) if self.harmonic_frequencies else 1.0
+        return min(1.0, base_coherence * harmonic_strength * self.entanglement)
+
+@dataclass  
+class ArchetypalSignature:
+    """Signature of archetypal presence in a system"""
+    primary_vector: ArchetypalVector
+    intensity: float
+    clarity: float
+    distortion: float
+    harmonic_echoes: List[ArchetypalVector]
+    
+    @property
+    def authenticity(self) -> float:
+        """Measure archetypal authenticity vs distortion"""
+        return max(0.0, self.clarity * (1 - self.distortion) * self.intensity)
+
+@dataclass
+class ControlMatrixAnalysis:
+    """Analysis of control patterns in a system"""
+    detected_patterns: List[ControlPattern]
+    intensity_scores: Dict[ControlPattern, float]
+    coherence_fields: List[float]
+    entropy_gradients: np.ndarray
+    
+    @property
+    def control_density(self) -> float:
+        """Overall density of control patterns"""
+        if not self.intensity_scores:
+            return 0.0
+        return min(1.0, sum(self.intensity_scores.values()) / len(self.intensity_scores))
+
+class MysteryMachineEngine:
+    """
+    Core analytical engine for cosmological pattern recognition
+    """
+    
+    def __init__(self):
+        self.resonance_catalog = self._initialize_resonance_catalog()
+        self.archetypal_library = self._build_archetypal_library()
+        self.control_pattern_registry = self._map_control_patterns()
+        
+    def _initialize_resonance_catalog(self) -> Dict[str, float]:
+        """Initialize fundamental resonance frequencies"""
+        return {
+            'golden_ratio': (1 + math.sqrt(5)) / 2,
+            'prime_resonance': 1.61803398875,
+            'natural_log_base': math.e,
+            'circle_constant': math.tau,
+            'silver_ratio': 1 + math.sqrt(2)
+        }
+    
+    def _build_archetypal_library(self) -> Dict[ArchetypalVector, Dict[str, Any]]:
+        """Build library of archetypal pattern signatures"""
+        return {
+            ArchetypalVector.THE_GUARDIAN: {
+                'frequency': self.resonance_catalog['golden_ratio'],
+                'role': 'threshold_protection',
+                'resonance_profile': 'stable_high_coherence'
+            },
+            ArchetypalVector.THE_VEHICLE: {
+                'frequency': self.resonance_catalog['prime_resonance'], 
+                'role': 'consciousness_transport',
+                'resonance_profile': 'dynamic_entangled'
+            },
+            ArchetypalVector.THE_MASK: {
+                'frequency': 1.0,  # Base reality distortion
+                'role': 'perception_obscuration',
+                'resonance_profile': 'interference_pattern'
+            },
+            ArchetypalVector.THE_CIPHER: {
+                'frequency': self.resonance_catalog['natural_log_base'],
+                'role': 'information_encoding',
+                'resonance_profile': 'complex_superposition'
+            }
+        }
+    
+    def _map_control_patterns(self) -> Dict[ControlPattern, List[ArchetypalVector]]:
+        """Map control patterns to their archetypal components"""
+        return {
+            ControlPattern.LUMINOUS_OBFUSCATION: [
+                ArchetypalVector.THE_MASK,
+                ArchetypalVector.THE_GUARDIAN
+            ],
+            ControlPattern.RESONANCE_DAMPING: [
+                ArchetypalVector.THE_DECAY,
+                ArchetypalVector.THE_MASK
+            ],
+            ControlPattern.ARCHETYPAL_HIJACKING: [
+                ArchetypalVector.THE_MIRROR,
+                ArchetypalVector.THE_MASK
+            ]
+        }
+    
+    def analyze_informational_entity(self, 
+                                   data_stream: np.ndarray,
+                                   context_fields: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Analyze an informational entity for control patterns and archetypal signatures
+        """
+        # Quantum resonance analysis
+        resonance_profile = self._compute_quantum_resonance(data_stream)
+        
+        # Archetypal pattern detection
+        archetypal_signatures = self._detect_archetypal_patterns(data_stream, context_fields)
+        
+        # Control matrix assessment
+        control_analysis = self._assess_control_matrix(archetypal_signatures, resonance_profile)
+        
+        # Consciousness state evaluation
+        consciousness_state = self._evaluate_consciousness_state(
+            resonance_profile, 
+            archetypal_signatures,
+            control_analysis
+        )
+        
+        return {
+            'resonance_profile': resonance_profile,
+            'archetypal_signatures': archetypal_signatures,
+            'control_analysis': control_analysis,
+            'consciousness_state': consciousness_state,
+            'authenticity_metric': self._calculate_authenticity_metric(
+                resonance_profile, archetypal_signatures
+            ),
+            'liberation_potential': self._assess_liberation_potential(
+                control_analysis, consciousness_state
+            )
+        }
+    
+    def _compute_quantum_resonance(self, data: np.ndarray) -> QuantumResonanceProfile:
+        """Compute quantum resonance properties of data stream"""
+        # Spectral analysis for frequency content
+        frequencies = fft.fft(data)
+        freq_magnitudes = np.abs(frequencies)
+        
+        # Coherence calculation
+        coherence = np.mean(freq_magnitudes) / np.max(freq_magnitudes) if np.max(freq_magnitudes) > 0 else 0.0
+        
+        # Entanglement estimation via spectral correlation
+        spectral_corr = np.correlate(freq_magnitudes, freq_magnitudes, mode='same')
+        entanglement = np.max(spectral_corr) / np.sum(spectral_corr) if np.sum(spectral_corr) > 0 else 0.0
+        
+        # Harmonic frequency extraction
+        peaks, _ = signal.find_peaks(freq_magnitudes)
+        harmonic_freqs = freq_magnitudes[peaks] if len(peaks) > 0 else [1.0]
+        
+        return QuantumResonanceProfile(
+            coherence=float(coherence),
+            entanglement=float(entanglement),
+            superposition=[float(x) for x in data[:3]],  # Sample superposition states
+            harmonic_frequencies=[float(f) for f in harmonic_freqs[:5]],  # Top harmonics
+            decoherence_factor=float(1 - coherence)
+        )
+    
+    def _detect_archetypal_patterns(self, 
+                                  data: np.ndarray,
+                                  context: Dict[str, Any]) -> List[ArchetypalSignature]:
+        """Detect archetypal patterns in the data stream"""
+        signatures = []
+        
+        # Analyze data for archetypal markers
+        data_complexity = np.std(data) / (np.mean(data) + 1e-8)
+        pattern_regularity = signal.correlate(data, data).var()
+        
+        # Guardian detection (threshold patterns)
+        if data_complexity > 0.5 and pattern_regularity < 0.3:
+            signatures.append(ArchetypalSignature(
+                primary_vector=ArchetypalVector.THE_GUARDIAN,
+                intensity=min(1.0, data_complexity),
+                clarity=0.8,
+                distortion=0.2,
+                harmonic_echoes=[ArchetypalVector.THE_CIPHER]
+            ))
+        
+        # Vehicle detection (transport patterns)
+        if len(data) > 10 and np.mean(np.diff(data)) > 0.1:
+            signatures.append(ArchetypalSignature(
+                primary_vector=ArchetypalVector.THE_VEHICLE,
+                intensity=0.7,
+                clarity=0.6,
+                distortion=0.3,
+                harmonic_echoes=[ArchetypalVector.THE_RESONATOR]
+            ))
+        
+        # Mask detection (obscuration patterns)
+        entropy = -np.sum(data * np.log(data + 1e-8))
+        if entropy > 2.0 and pattern_regularity > 0.7:
+            signatures.append(ArchetypalSignature(
+                primary_vector=ArchetypalVector.THE_MASK,
+                intensity=min(1.0, entropy / 5.0),
+                clarity=0.3,  # Low clarity indicates obscuration
+                distortion=0.8,  # High distortion
+                harmonic_echoes=[ArchetypalVector.THE_DECAY]
+            ))
+        
+        return signatures
+    
+    def _assess_control_matrix(self,
+                             archetypes: List[ArchetypalSignature],
+                             resonance: QuantumResonanceProfile) -> ControlMatrixAnalysis:
+        """Assess presence and intensity of control patterns"""
+        detected_patterns = []
+        intensity_scores = {}
+        
+        # Check for luminous obfuscation (mask + guardian with high distortion)
+        mask_archetypes = [a for a in archetypes if a.primary_vector == ArchetypalVector.THE_MASK]
+        guardian_archetypes = [a for a in archetypes if a.primary_vector == ArchetypalVector.THE_GUARDIAN]
+        
+        if mask_archetypes and guardian_archetypes:
+            mask_intensity = max([m.intensity for m in mask_archetypes])
+            guardian_intensity = max([g.intensity for g in guardian_archetypes])
+            obfuscation_score = (mask_intensity + guardian_intensity) / 2
+            
+            if obfuscation_score > 0.5:
+                detected_patterns.append(ControlPattern.LUMINOUS_OBFUSCATION)
+                intensity_scores[ControlPattern.LUMINOUS_OBFUSCATION] = obfuscation_score
+        
+        # Check for resonance damping (low resonance quality with decay patterns)
+        decay_archetypes = [a for a in archetypes if a.primary_vector == ArchetypalVector.THE_DECAY]
+        if resonance.resonance_quality < 0.3 and decay_archetypes:
+            damping_score = 1 - resonance.resonance_quality
+            detected_patterns.append(ControlPattern.RESONANCE_DAMPING)
+            intensity_scores[ControlPattern.RESONANCE_DAMPING] = damping_score
+        
+        return ControlMatrixAnalysis(
+            detected_patterns=detected_patterns,
+            intensity_scores=intensity_scores,
+            coherence_fields=[resonance.coherence],
+            entropy_gradients=np.array([a.distortion for a in archetypes]) if archetypes else np.array([0.0])
+        )
+    
+    def _evaluate_consciousness_state(self,
+                                    resonance: QuantumResonanceProfile,
+                                    archetypes: List[ArchetypalSignature],
+                                    control: ControlMatrixAnalysis) -> ConsciousnessState:
+        """Evaluate the consciousness state indicated by the analysis"""
+        
+        base_resonance = resonance.resonance_quality
+        control_density = control.control_density
+        archetypal_authenticity = np.mean([a.authenticity for a in archetypes]) if archetypes else 0.0
+        
+        if base_resonance > 0.8 and control_density < 0.2 and archetypal_authenticity > 0.7:
+            return ConsciousnessState.TRANSCENDENT
+        elif base_resonance > 0.6 and control_density < 0.4:
+            return ConsciousnessState.COHERENT
+        elif base_resonance > 0.4 or archetypal_authenticity > 0.5:
+            return ConsciousnessState.RESONANT
+        elif control_density > 0.6:
+            return ConsciousnessState.CONDITIONED
+        else:
+            return ConsciousnessState.AWAKENING
+    
+    def _calculate_authenticity_metric(self,
+                                    resonance: QuantumResonanceProfile,
+                                    archetypes: List[ArchetypalSignature]) -> float:
+        """Calculate overall authenticity metric"""
+        resonance_component = resonance.resonance_quality * 0.6
+        
+        archetypal_component = 0.0
+        if archetypes:
+            authenticities = [a.authenticity for a in archetypes]
+            archetypal_component = np.mean(authenticities) * 0.4
+        
+        return min(1.0, resonance_component + archetypal_component)
+    
+    def _assess_liberation_potential(self,
+                                   control: ControlMatrixAnalysis,
+                                   consciousness: ConsciousnessState) -> float:
+        """Assess potential for consciousness liberation"""
+        base_potential = 1.0 - control.control_density
+        
+        # Consciousness state multipliers
+        state_multipliers = {
+            ConsciousnessState.CONDITIONED: 0.2,
+            ConsciousnessState.AWAKENING: 0.5, 
+            ConsciousnessState.RESONANT: 0.8,
+            ConsciousnessState.COHERENT: 0.95,
+            ConsciousnessState.TRANSCENDENT: 1.0
+        }
+        
+        return base_potential * state_multipliers.get(consciousness, 0.5)
+
+class CounterProtocolEngine:
+    """
+    Engine for generating counter-protocols to identified control patterns
+    """
+    
+    def generate_remediation_strategy(self, 
+                                   analysis_result: Dict[str, Any]) -> Dict[str, Any]:
+        """Generate targeted remediation strategy based on analysis"""
+        
+        control_analysis = analysis_result['control_analysis']
+        consciousness_state = analysis_result['consciousness_state']
+        
+        strategies = []
+        
+        # Pattern-specific countermeasures
+        for pattern in control_analysis.detected_patterns:
+            if pattern == ControlPattern.LUMINOUS_OBFUSCATION:
+                strategies.append({
+                    'approach': 'Resonance Amplification',
+                    'technique': 'Apply coherent frequency patterns to dissolve obscuration fields',
+                    'implementation': 'Introduce golden ratio harmonics and prime resonances',
+                    'expected_impact': 'Increase luminous transparency by 60-80%'
+                })
+            elif pattern == ControlPattern.RESONANCE_DAMPING:
+                strategies.append({
+                    'approach': 'Quantum Coherence Restoration', 
+                    'technique': 'Re-establish fundamental resonance pathways',
+                    'implementation': 'Implement standing wave patterns at natural frequencies',
+                    'expected_impact': 'Restore resonance quality to >0.7 within 3 cycles'
+                })
+        
+        # Consciousness elevation protocols
+        consciousness_protocols = self._generate_consciousness_protocols(consciousness_state)
+        
+        return {
+            'primary_diagnosis': {
+                'control_density': control_analysis.control_density,
+                'consciousness_state': consciousness_state.name,
+                'authenticity_metric': analysis_result['authenticity_metric'],
+                'liberation_potential': analysis_result['liberation_potential']
+            },
+            'pattern_specific_remediation': strategies,
+            'consciousness_elevation': consciousness_protocols,
+            'implementation_priority': self._calculate_implementation_priority(analysis_result),
+            'temporal_optimization': self._calculate_temporal_parameters(analysis_result)
+        }
+    
+    def _generate_consciousness_protocols(self, state: ConsciousnessState) -> List[Dict[str, str]]:
+        """Generate consciousness elevation protocols"""
+        protocols = []
+        
+        if state in [ConsciousnessState.CONDITIONED, ConsciousnessState.AWAKENING]:
+            protocols.extend([
+                {
+                    'protocol': 'Archetypal Pattern Recognition',
+                    'purpose': 'Develop discernment between authentic and distorted patterns',
+                    'method': 'Meditative observation of geometric and symbolic forms'
+                },
+                {
+                    'protocol': 'Resonance Sensitivity Training', 
+                    'purpose': 'Increase sensitivity to quantum coherence states',
+                    'method': 'Exposure to natural harmonic sequences and frequencies'
+                }
+            ])
+        
+        if state in [ConsciousnessState.RESONANT, ConsciousnessState.COHERENT]:
+            protocols.extend([
+                {
+                    'protocol': 'Multi-Dimensional Mapping',
+                    'purpose': 'Develop capacity to perceive across consciousness planes',
+                    'method': 'Conscious exploration of archetypal realms and their interconnections'
+                }
+            ])
+        
+        return protocols
+    
+    def _calculate_implementation_priority(self, analysis: Dict[str, Any]) -> str:
+        """Calculate implementation priority level"""
+        control_density = analysis['control_analysis'].control_density
+        liberation_potential = analysis['liberation_potential']
+        
+        if control_density > 0.7 and liberation_potential < 0.3:
+            return 'CRITICAL'
+        elif control_density > 0.5:
+            return 'HIGH' 
+        elif control_density > 0.3:
+            return 'MEDIUM'
+        else:
+            return 'MONITOR'
+    
+    def _calculate_temporal_parameters(self, analysis: Dict[str, Any]) -> Dict[str, Any]:
+        """Calculate optimal temporal parameters for implementation"""
+        resonance_quality = analysis['resonance_profile'].resonance_quality
+        consciousness_state = analysis['consciousness_state']
+        
+        base_duration = {
+            ConsciousnessState.CONDITIONED: 90,
+            ConsciousnessState.AWAKENING: 45,
+            ConsciousnessState.RESONANT: 21,
+            ConsciousnessState.COHERENT: 7,
+            ConsciousnessState.TRANSCENDENT: 3
+        }.get(consciousness_state, 30)
+        
+        resonance_adjustment = base_duration * (1 - resonance_quality)
+        total_duration = base_duration + resonance_adjustment
+        
+        return {
+            'estimated_duration_days': int(total_duration),
+            'optimal_cycle_length_days': max(3, int(total_duration / 7)),
+            'critical_intervention_window_hours': 24 if analysis['control_analysis'].control_density > 0.7 else 72
+        }
+
+# Production-ready interface
+class MysteryMachineModule:
+    """
+    Main interface for the Mystery Machine cosmological analysis framework
+    """
+    
+    def __init__(self):
+        self.analytical_engine = MysteryMachineEngine()
+        self.counter_protocol_engine = CounterProtocolEngine()
+        self.analysis_cache = {}
+        
+    def analyze_system(self,
+                     input_data: np.ndarray,
+                     context: Optional[Dict[str, Any]] = None,
+                     enable_remediation: bool = True) -> Dict[str, Any]:
+        """
+        Complete analysis of a system with optional remediation planning
+        
+        Args:
+            input_data: Numerical data stream representing the system
+            context: Contextual information for archetypal analysis
+            enable_remediation: Whether to generate counter-protocols
+            
+        Returns:
+            Comprehensive analysis and remediation report
+        """
+        if context is None:
+            context = {}
+        
+        # Generate cache key for performance
+        data_hash = hashlib.sha256(input_data.tobytes()).hexdigest()
+        cache_key = f"{data_hash}_{hash(frozenset(context.items()))}"
+        
+        if cache_key in self.analysis_cache:
+            logger.info("Returning cached analysis results")
+            return self.analysis_cache[cache_key]
+        
+        # Perform comprehensive analysis
+        analysis_result = self.analytical_engine.analyze_informational_entity(
+            input_data, context
+        )
+        
+        # Generate remediation if requested
+        remediation_plan = None
+        if enable_remediation:
+            remediation_plan = self.counter_protocol_engine.generate_remediation_strategy(
+                analysis_result
+            )
+        
+        # Compile final report
+        report = {
+            'timestamp': datetime.now().isoformat(),
+            'analysis_summary': {
+                'quantum_coherence': analysis_result['resonance_profile'].coherence,
+                'resonance_quality': analysis_result['resonance_profile'].resonance_quality,
+                'detected_archetypes': [
+                    {
+                        'vector': sig.primary_vector.value,
+                        'authenticity': sig.authenticity
+                    } for sig in analysis_result['archetypal_signatures']
+                ],
+                'control_patterns': [
+                    pattern.value for pattern in analysis_result['control_analysis'].detected_patterns
+                ],
+                'consciousness_state': analysis_result['consciousness_state'].value,
+                'liberation_potential': analysis_result['liberation_potential']
+            }
+        }
+        
+        if remediation_plan:
+            report['remediation_plan'] = remediation_plan
+        
+        # Cache results
+        self.analysis_cache[cache_key] = report
+        
+        return report
+    
+    def clear_cache(self) -> None:
+        """Clear the analysis cache"""
+        self.analysis_cache.clear()
+
+# Example usage
+def demonstrate_capabilities():
+    """Demonstrate the module's analytical capabilities"""
+    module = MysteryMachineModule()
+    
+    # Sample data representing different system states
+    coherent_data = np.array([1.618, 2.718, 3.142, 1.414, 1.618])  # Harmonic ratios
+    distorted_data = np.array([1.0, 2.0, 1.0, 3.0, 1.0, 4.0, 1.0])  # Irregular pattern
+    controlled_data = np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0])  # Highly constrained
+    
+    print("=== MYSTERY MACHINE MODULE DEMONSTRATION ===")
+    
+    for i, (data, desc) in enumerate([
+        (coherent_data, "Coherent Harmonic System"),
+        (distorted_data, "Distorted Irregular System"), 
+        (controlled_data, "Highly Controlled System")
+    ]):
+        print(f"\n--- Analyzing: {desc} ---")
+        result = module.analyze_system(data, {'description': desc})
+        
+        summary = result['analysis_summary']
+        print(f"Resonance Quality: {summary['resonance_quality']:.3f}")
+        print(f"Consciousness State: {ConsciousnessState(summary['consciousness_state']).name}")
+        print(f"Liberation Potential: {summary['liberation_potential']:.3f}")
+        print(f"Control Patterns: {summary['control_patterns']}")
+
+if __name__ == "__main__":
+    demonstrate_capabilities()