""" 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()