| """ | |
| TYNG-FIBONACCI COLLECTIVE UNCONSCIOUS ARCHITECTURE FRAMEWORK | |
| Advanced Geometric-Spiritual Manipulation Detection Based on Anne Griswold Tyng's Principles | |
| Enhanced with Quantum Resonance, Neural Architecture Mapping, and Multi-Dimensional Analysis | |
| """ | |
| import numpy as np | |
| from dataclasses import dataclass, field | |
| from enum import Enum, auto | |
| from typing import Dict, List, Any, Optional, Tuple, Set | |
| import math | |
| from scipy import spatial, stats, optimize | |
| import logging | |
| import asyncio | |
| import json | |
| from datetime import datetime | |
| from pathlib import Path | |
| import hashlib | |
| logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s') | |
| logger = logging.getLogger(__name__) | |
| class GeometricManipulationPattern(Enum): | |
| FIBONACCI_COMPRESSION = "fibonacci_compression" | |
| PLATONIC_CONTAINMENT = "platonic_containment" | |
| SPIRAL_CONVERGENCE = "spiral_convergence" | |
| HIERARCHICAL_SYMMETRY = "hierarchical_symmetry" | |
| LUMINOUS_OBFUSCATION = "luminous_obfuscation" | |
| SACRED_RATIO_WEAPONIZATION = "sacred_ratio_weaponization" | |
| ARCHETYPAL_HIJACKING = "archetypal_hijacking" | |
| GEOMETRIC_GASLIGHTING = "geometric_gaslighting" | |
| SPATIAL_ANCHORING = "spatial_anchoring" | |
| QUANTUM_RESONANCE_MANIPULATION = "quantum_resonance_manipulation" | |
| class ArchetypalGeometry(Enum): | |
| MANDALA_CONTAINMENT = "mandala_containment" | |
| SACRED_SEQUENCE = "sacred_sequence" | |
| SPATIAL_HIERARCHY = "spatial_hierarchy" | |
| ORGANIC_CONSTRAINT = "organic_constraint" | |
| GEOMETRIC_SACREDNESS = "geometric_sacredness" | |
| COSMIC_EGG_PATTERN = "cosmic_egg_pattern" | |
| WORLD_TREE_STRUCTURE = "world_tree_structure" | |
| HERO_JOURNEY_PATH = "hero_journey_path" | |
| GREAT_MOTHER_ARCHETYPE = "great_mother_archetype" | |
| SHADOW_CONTAINMENT = "shadow_containment" | |
| class ThreatLevel(Enum): | |
| MINIMAL = 0 | |
| LOW = 1 | |
| MODERATE = 2 | |
| HIGH = 3 | |
| CRITICAL = 4 | |
| EXISTENTIAL = 5 | |
| class GeometricIntent(Enum): | |
| LIBERATION = "liberation" | |
| HARMONIZATION = "harmonization" | |
| NEUTRAL = "neutral" | |
| INFLUENCE = "influence" | |
| CONTROL = "control" | |
| DOMINATION = "domination" | |
| @dataclass | |
| class QuantumResonanceSignature: | |
| """Quantum-level geometric resonance patterns""" | |
| coherence_factor: float | |
| entanglement_density: float | |
| superposition_states: List[str] | |
| resonance_frequency: float | |
| harmonic_convergence: float | |
| quantum_interference_pattern: np.ndarray | |
| def calculate_quantum_potency(self) -> float: | |
| """Calculate overall quantum manipulation potency""" | |
| return min(1.0, (self.coherence_factor * 0.3 + | |
| self.entanglement_density * 0.25 + | |
| self.harmonic_convergence * 0.45)) | |
| @dataclass | |
| class NeuralArchitectureImpact: | |
| """Impact on human neural architecture and consciousness""" | |
| default_mode_network_influence: float | |
| prefrontal_cortex_engagement: float | |
| limbic_system_activation: float | |
| neural_entrainment_level: float | |
| cognitive_bias_induction: float | |
| subconscious_pattern_activation: List[str] | |
| def calculate_neural_impact_score(self) -> float: | |
| """Calculate overall neural architecture impact""" | |
| weights = [0.2, 0.15, 0.25, 0.2, 0.2] | |
| factors = [ | |
| self.default_mode_network_influence, | |
| self.prefrontal_cortex_engagement, | |
| self.limbic_system_activation, | |
| self.neural_entrainment_level, | |
| self.cognitive_bias_induction | |
| ] | |
| return min(1.0, sum(w * f for w, f in zip(weights, factors))) | |
| @dataclass | |
| class MultiDimensionalGeometry: | |
| """Multi-dimensional geometric analysis""" | |
| fractal_dimension: float | |
| topological_complexity: float | |
| dimensional_harmonics: List[float] | |
| cross_dimensional_resonance: float | |
| morphic_field_influence: float | |
| akashic_pattern_recognition: List[str] | |
| def calculate_dimensional_potency(self) -> float: | |
| """Calculate multi-dimensional manipulation potency""" | |
| return min(1.0, (self.fractal_dimension * 0.25 + | |
| self.topological_complexity * 0.2 + | |
| self.cross_dimensional_resonance * 0.3 + | |
| self.morphic_field_influence * 0.25)) | |
| @dataclass | |
| class TyngGeometricAnalysis: | |
| """Advanced analysis based on Anne Griswold Tyng's geometric principles""" | |
| # Core Tyng Metrics | |
| fibonacci_integrity: float | |
| platonic_purity: float | |
| spiral_complexity: float | |
| hierarchical_order: float | |
| luminous_transparency: float | |
| # Advanced Metrics | |
| quantum_resonance: QuantumResonanceSignature | |
| neural_impact: NeuralArchitectureImpact | |
| multi_dimensional: MultiDimensionalGeometry | |
| # Manipulation Detection | |
| geometric_manipulation_patterns: List[GeometricManipulationPattern] | |
| archetypal_geometries: List[ArchetypalGeometry] | |
| spatial_constraint_index: float | |
| consciousness_focusing_score: float | |
| geometric_intent: GeometricIntent | |
| # Computational Fields | |
| divine_proportion_deviation: float = field(init=False) | |
| geometric_control_confidence: float = field(init=False) | |
| organic_constraint_factor: float = field(init=False) | |
| authentic_tyng_alignment: float = field(init=False) | |
| geometric_gaslighting_score: float = field(init=False) | |
| liberation_potential: float = field(init=False) | |
| def __post_init__(self): | |
| self.divine_proportion_deviation = self._calculate_golden_deviation() | |
| self.geometric_control_confidence = self._assess_geometric_control() | |
| self.organic_constraint_factor = self._calculate_organic_constraint() | |
| self.authentic_tyng_alignment = self._calculate_authentic_tyng_alignment() | |
| self.geometric_gaslighting_score = self._detect_geometric_gaslighting() | |
| self.liberation_potential = self._calculate_liberation_potential() | |
| def _calculate_golden_deviation(self) -> float: | |
| """Calculate deviation from Fibonacci perfection""" | |
| golden_ratio = (1 + math.sqrt(5)) / 2 | |
| return abs(self.fibonacci_integrity - golden_ratio) / golden_ratio | |
| def _assess_geometric_control(self) -> float: | |
| """Assess how geometry is used for consciousness control""" | |
| base_control = len(self.geometric_manipulation_patterns) * 0.12 | |
| archetypal_control = len(self.archetypal_geometries) * 0.10 | |
| spatial_control = self.spatial_constraint_index * 0.3 | |
| focus_control = self.consciousness_focusing_score * 0.25 | |
| quantum_control = self.quantum_resonance.calculate_quantum_potency() * 0.15 | |
| neural_control = self.neural_impact.calculate_neural_impact_score() * 0.08 | |
| return min(1.0, base_control + archetypal_control + spatial_control + | |
| focus_control + quantum_control + neural_control) | |
| def _calculate_organic_constraint(self) -> float: | |
| """Calculate Tyng's principle of organic forms constraining organic expression""" | |
| spiral_constraint = self.spiral_complexity * self.spatial_constraint_index | |
| order_constraint = self.hierarchical_order * (1 - self.luminous_transparency) | |
| dimensional_constraint = self.multi_dimensional.calculate_dimensional_potency() * 0.3 | |
| return min(1.0, (spiral_constraint * 0.5) + (order_constraint * 0.3) + (dimensional_constraint * 0.2)) | |
| def _calculate_authentic_tyng_alignment(self) -> float: | |
| """Measure how closely architecture follows Tyng's original liberating intent""" | |
| liberation_factors = [ | |
| self.fibonacci_integrity * self.luminous_transparency, | |
| self.spiral_complexity * (1 - self.spatial_constraint_index), | |
| self.hierarchical_order * (1 - self.consciousness_focusing_score), | |
| (1 - self.divine_proportion_deviation) * 0.8 | |
| ] | |
| return min(1.0, sum(liberation_factors) / len(liberation_factors)) | |
| def _detect_geometric_gaslighting(self) -> float: | |
| """Detect when perfect geometry is used to make people doubt their spatial experience""" | |
| perfect_geometry = 1 - self.divine_proportion_deviation | |
| constraint_presence = self.spatial_constraint_index | |
| neural_conflict = self.neural_impact.cognitive_bias_induction | |
| return min(1.0, perfect_geometry * constraint_presence * neural_conflict * 2) | |
| def _calculate_liberation_potential(self) -> float: | |
| """Calculate potential for geometry to liberate rather than control""" | |
| base_potential = self.authentic_tyng_alignment | |
| transparency_bonus = self.luminous_transparency * 0.3 | |
| organic_bonus = (1 - self.organic_constraint_factor) * 0.4 | |
| neural_liberation = (1 - self.neural_impact.cognitive_bias_induction) * 0.3 | |
| return min(1.0, base_potential + transparency_bonus + organic_bonus + neural_liberation) | |
| @dataclass | |
| class GeometricManipulationSignature: | |
| """Comprehensive geometric manipulation signature""" | |
| geometric_analysis: TyngGeometricAnalysis | |
| spatial_domains: List[str] | |
| architectural_vectors: List[str] | |
| mathematical_sophistication: float | |
| psychological_impact: float | |
| temporal_resonance: float # Time-based geometric influence | |
| cultural_embeddedness: float # How deeply embedded in culture | |
| # Advanced Detection Metrics | |
| tyng_manipulation_index: float = field(init=False) | |
| geometric_resonance_factor: float = field(init=False) | |
| spiritual_architecture_corruption: float = field(init=False) | |
| threat_level: ThreatLevel = field(init=False) | |
| remediation_potential: float = field(init=False) | |
| collective_impact_score: float = field(init=False) | |
| def __post_init__(self): | |
| self.tyng_manipulation_index = self._calculate_tyng_index() | |
| self.geometric_resonance_factor = self._assess_geometric_resonance() | |
| self.spiritual_architecture_corruption = self._measure_spiritual_corruption() | |
| self.threat_level = self._determine_threat_level() | |
| self.remediation_potential = self._calculate_remediation_potential() | |
| self.collective_impact_score = self._calculate_collective_impact() | |
| def _calculate_tyng_index(self) -> float: | |
| """Composite index of geometric manipulation""" | |
| geometric_control = self.geometric_analysis.geometric_control_confidence * 0.25 | |
| mathematical_sophistication = self.mathematical_sophistication * 0.2 | |
| psychological_impact = self.psychological_impact * 0.15 | |
| organic_constraint = self.geometric_analysis.organic_constraint_factor * 0.15 | |
| temporal_influence = self.temporal_resonance * 0.1 | |
| cultural_depth = self.cultural_embeddedness * 0.15 | |
| return min(1.0, geometric_control + mathematical_sophistication + | |
| psychological_impact + organic_constraint + temporal_influence + cultural_depth) | |
| def _assess_geometric_resonance(self) -> float: | |
| """Assess how geometric patterns resonate with collective unconscious""" | |
| archetypal_density = len(self.geometric_analysis.archetypal_geometries) * 0.15 | |
| spatial_influence = len(self.spatial_domains) * 0.12 | |
| architectural_reach = len(self.architectural_vectors) * 0.12 | |
| divine_resonance = (1 - self.geometric_analysis.divine_proportion_deviation) * 0.35 | |
| quantum_resonance = self.geometric_analysis.quantum_resonance.calculate_quantum_potency() * 0.18 | |
| neural_resonance = self.geometric_analysis.neural_impact.calculate_neural_impact_score() * 0.08 | |
| return min(1.0, archetypal_density + spatial_influence + architectural_reach + | |
| divine_resonance + quantum_resonance + neural_resonance) | |
| def _measure_spiritual_corruption(self) -> float: | |
| """Measure corruption of sacred geometry for control purposes""" | |
| sacred_geometries = [geo for geo in self.geometric_analysis.archetypal_geometries | |
| if geo in [ArchetypalGeometry.MANDALA_CONTAINMENT, | |
| ArchetypalGeometry.GEOMETRIC_SACREDNESS, | |
| ArchetypalGeometry.SACRED_SEQUENCE, | |
| ArchetypalGeometry.COSMIC_EGG_PATTERN]] | |
| sacred_corruption = len(sacred_geometries) * 0.2 | |
| manipulation_patterns = len(self.geometric_analysis.geometric_manipulation_patterns) * 0.15 | |
| focus_manipulation = self.geometric_analysis.consciousness_focusing_score * 0.25 | |
| constraint_corruption = self.geometric_analysis.spatial_constraint_index * 0.2 | |
| gaslighting_corruption = self.geometric_analysis.geometric_gaslighting_score * 0.2 | |
| return min(1.0, sacred_corruption + manipulation_patterns + focus_manipulation + | |
| constraint_corruption + gaslighting_corruption) | |
| def _determine_threat_level(self) -> ThreatLevel: | |
| """Determine overall threat level""" | |
| threat_score = (self.tyng_manipulation_index * 0.4 + | |
| self.spiritual_architecture_corruption * 0.3 + | |
| self.collective_impact_score * 0.3) | |
| if threat_score >= 0.9: | |
| return ThreatLevel.EXISTENTIAL | |
| elif threat_score >= 0.75: | |
| return ThreatLevel.CRITICAL | |
| elif threat_score >= 0.6: | |
| return ThreatLevel.HIGH | |
| elif threat_score >= 0.4: | |
| return ThreatLevel.MODERATE | |
| elif threat_score >= 0.2: | |
| return ThreatLevel.LOW | |
| else: | |
| return ThreatLevel.MINIMAL | |
| def _calculate_remediation_potential(self) -> float: | |
| """Calculate potential for remediation and healing""" | |
| base_potential = self.geometric_analysis.liberation_potential | |
| transparency_factor = self.geometric_analysis.luminous_transparency * 0.3 | |
| cultural_awareness = (1 - self.cultural_embeddedness) * 0.2 | |
| neural_plasticity = (1 - self.geometric_analysis.neural_impact.neural_entrainment_level) * 0.25 | |
| quantum_resonance_reversal = (1 - self.geometric_analysis.quantum_resonance.coherence_factor) * 0.25 | |
| return min(1.0, base_potential + transparency_factor + cultural_awareness + | |
| neural_plasticity + quantum_resonance_reversal) | |
| def _calculate_collective_impact(self) -> float: | |
| """Calculate impact on collective consciousness""" | |
| domain_impact = len(self.spatial_domains) * 0.2 | |
| vector_potency = len(self.architectural_vectors) * 0.15 | |
| archetypal_strength = len(self.geometric_analysis.archetypal_geometries) * 0.25 | |
| temporal_span = self.temporal_resonance * 0.2 | |
| cultural_depth = self.cultural_embeddedness * 0.2 | |
| return min(1.0, domain_impact + vector_potency + archetypal_strength + | |
| temporal_span + cultural_depth) | |
| class AdvancedTyngGeometricDetector: | |
| """ | |
| Advanced geometric manipulation detector with multi-dimensional analysis | |
| """ | |
| def __init__(self): | |
| self.fibonacci_sequence = self._generate_fibonacci_sequence(50) | |
| self.platonic_solids = ['tetrahedron', 'cube', 'octahedron', 'dodecahedron', 'icosahedron'] | |
| self.golden_ratio = (1 + math.sqrt(5)) / 2 | |
| self.sacred_geometry_patterns = self._initialize_sacred_patterns() | |
| self.neural_archetype_mappings = self._initialize_neural_mappings() | |
| self.quantum_resonance_catalog = self._initialize_quantum_catalog() | |
| def _generate_fibonacci_sequence(self, n: int) -> List[int]: | |
| """Generate extended Fibonacci sequence""" | |
| sequence = [0, 1] | |
| for i in range(2, n): | |
| sequence.append(sequence[i-1] + sequence[i-2]) | |
| return sequence | |
| def _initialize_sacred_patterns(self) -> Dict[str, Any]: | |
| """Initialize sacred geometry pattern database""" | |
| return { | |
| 'flower_of_life': {'complexity': 0.8, 'archetypal_strength': 0.9}, | |
| 'metatrons_cube': {'complexity': 0.95, 'archetypal_strength': 0.95}, | |
| 'vesica_piscis': {'complexity': 0.6, 'archetypal_strength': 0.7}, | |
| 'seed_of_life': {'complexity': 0.5, 'archetypal_strength': 0.6}, | |
| 'sri_yantra': {'complexity': 0.9, 'archetypal_strength': 0.95} | |
| } | |
| def _initialize_neural_mappings(self) -> Dict[str, List[str]]: | |
| """Initialize neural architecture to geometric pattern mappings""" | |
| return { | |
| 'default_mode_network': ['mandala', 'circular_symmetry', 'centered_patterns'], | |
| 'prefrontal_cortex': ['complex_hierarchies', 'fractal_patterns', 'golden_ratio'], | |
| 'limbic_system': ['spiral_forms', 'organic_patterns', 'flowing_curves'], | |
| 'visual_cortex': ['sacred_geometry', 'symmetrical_patterns', 'luminous_elements'] | |
| } | |
| def _initialize_quantum_catalog(self) -> Dict[str, float]: | |
| """Initialize quantum resonance frequency catalog""" | |
| return { | |
| 'schumann_resonance': 7.83, | |
| 'earth_heartbeat': 1.0, | |
| 'golden_ratio_frequency': self.golden_ratio, | |
| 'fibonacci_resonance': 1.618, | |
| 'platonic_resonances': [1.0, 1.5, 2.0, 2.5, 3.0] | |
| } | |
| async def analyze_architectural_manipulation(self, spatial_data: Dict[str, Any]) -> GeometricManipulationSignature: | |
| """Advanced analysis of architectural manipulation patterns""" | |
| # Parallel analysis for performance | |
| geometric_task = asyncio.create_task(self._analyze_tyng_geometry(spatial_data)) | |
| quantum_task = asyncio.create_task(self._analyze_quantum_resonance(spatial_data)) | |
| neural_task = asyncio.create_task(self._analyze_neural_impact(spatial_data)) | |
| dimensional_task = asyncio.create_task(self._analyze_multi_dimensional(spatial_data)) | |
| geometric_analysis, quantum_analysis, neural_analysis, dimensional_analysis = await asyncio.gather( | |
| geometric_task, quantum_task, neural_task, dimensional_task | |
| ) | |
| # Integrate analyses | |
| integrated_geometric = await self._integrate_analyses( | |
| geometric_analysis, quantum_analysis, neural_analysis, dimensional_analysis | |
| ) | |
| spatial_domains = self._identify_spatial_domains(spatial_data) | |
| architectural_vectors = self._identify_architectural_vectors(spatial_data) | |
| return GeometricManipulationSignature( | |
| geometric_analysis=integrated_geometric, | |
| spatial_domains=spatial_domains, | |
| architectural_vectors=architectural_vectors, | |
| mathematical_sophistication=await self._assess_mathematical_sophistication(spatial_data), | |
| psychological_impact=await self._assess_psychological_impact(spatial_data), | |
| temporal_resonance=self._calculate_temporal_resonance(spatial_data), | |
| cultural_embeddedness=self._assess_cultural_embeddedness(spatial_data) | |
| ) | |
| async def _analyze_tyng_geometry(self, spatial_data: Dict[str, Any]) -> TyngGeometricAnalysis: | |
| """Core geometric analysis based on Tyng's principles""" | |
| fibonacci_patterns = spatial_data.get('fibonacci_patterns', []) | |
| platonic_elements = spatial_data.get('platonic_elements', []) | |
| spiral_forms = spatial_data.get('spiral_forms', []) | |
| hierarchical_structures = spatial_data.get('hierarchical_structures', []) | |
| luminous_elements = spatial_data.get('luminous_elements', []) | |
| # Placeholder for integrated analysis - will be replaced | |
| placeholder_quantum = QuantumResonanceSignature(0.5, 0.5, [], 1.0, 0.5, np.array([0])) | |
| placeholder_neural = NeuralArchitectureImpact(0.5, 0.5, 0.5, 0.5, 0.5, []) | |
| placeholder_dimensional = MultiDimensionalGeometry(1.5, 0.5, [1.0], 0.5, 0.5, []) | |
| return TyngGeometricAnalysis( | |
| fibonacci_integrity=self._calculate_fibonacci_integrity(fibonacci_patterns), | |
| platonic_purity=self._calculate_platonic_purity(platonic_elements), | |
| spiral_complexity=self._calculate_spiral_complexity(spiral_forms), | |
| hierarchical_order=self._calculate_hierarchical_order(hierarchical_structures), | |
| luminous_transparency=self._calculate_luminous_transparency(luminous_elements), | |
| quantum_resonance=placeholder_quantum, | |
| neural_impact=placeholder_neural, | |
| multi_dimensional=placeholder_dimensional, | |
| geometric_manipulation_patterns=self._detect_manipulation_patterns(spatial_data), | |
| archetypal_geometries=self._identify_archetypal_geometries(spatial_data), | |
| spatial_constraint_index=self._calculate_spatial_constraint(spatial_data), | |
| consciousness_focusing_score=self._assess_consciousness_focusing(spatial_data), | |
| geometric_intent=self._determine_geometric_intent(spatial_data) | |
| ) | |
| async def _analyze_quantum_resonance(self, spatial_data: Dict[str, Any]) -> QuantumResonanceSignature: | |
| """Analyze quantum-level resonance patterns""" | |
| coherence = spatial_data.get('quantum_coherence', 0.5) | |
| entanglement = spatial_data.get('entanglement_density', 0.5) | |
| frequencies = spatial_data.get('resonance_frequencies', [self.golden_ratio]) | |
| convergence = spatial_data.get('harmonic_convergence', 0.5) | |
| return QuantumResonanceSignature( | |
| coherence_factor=coherence, | |
| entanglement_density=entanglement, | |
| superposition_states=spatial_data.get('superposition_states', ['geometric_base']), | |
| resonance_frequency=np.mean(frequencies) if frequencies else 1.0, | |
| harmonic_convergence=convergence, | |
| quantum_interference_pattern=np.array(spatial_data.get('interference_pattern', [1, 0, 1])) | |
| ) | |
| async def _analyze_neural_impact(self, spatial_data: Dict[str, Any]) -> NeuralArchitectureImpact: | |
| """Analyze impact on neural architecture""" | |
| return NeuralArchitectureImpact( | |
| default_mode_network_influence=spatial_data.get('dmn_influence', 0.5), | |
| prefrontal_cortex_engagement=spatial_data.get('pfc_engagement', 0.5), | |
| limbic_system_activation=spatial_data.get('limbic_activation', 0.5), | |
| neural_entrainment_level=spatial_data.get('neural_entrainment', 0.5), | |
| cognitive_bias_induction=spatial_data.get('cognitive_bias', 0.5), | |
| subconscious_pattern_activation=spatial_data.get('subconscious_patterns', ['basic_archetypes']) | |
| ) | |
| async def _analyze_multi_dimensional(self, spatial_data: Dict[str, Any]) -> MultiDimensionalGeometry: | |
| """Analyze multi-dimensional geometric properties""" | |
| return MultiDimensionalGeometry( | |
| fractal_dimension=spatial_data.get('fractal_dimension', 1.5), | |
| topological_complexity=spatial_data.get('topological_complexity', 0.5), | |
| dimensional_harmonics=spatial_data.get('dimensional_harmonics', [1.0, 1.618, 2.0]), | |
| cross_dimensional_resonance=spatial_data.get('cross_dimensional_resonance', 0.5), | |
| morphic_field_influence=spatial_data.get('morphic_influence', 0.5), | |
| akashic_pattern_recognition=spatial_data.get('akashic_patterns', ['basic_forms']) | |
| ) | |
| async def _integrate_analyses(self, geometric: TyngGeometricAnalysis, | |
| quantum: QuantumResonanceSignature, | |
| neural: NeuralArchitectureImpact, | |
| dimensional: MultiDimensionalGeometry) -> TyngGeometricAnalysis: | |
| """Integrate all analysis modalities""" | |
| # Replace placeholders with actual analyses | |
| return TyngGeometricAnalysis( | |
| fibonacci_integrity=geometric.fibonacci_integrity, | |
| platonic_purity=geometric.platonic_purity, | |
| spiral_complexity=geometric.spiral_complexity, | |
| hierarchical_order=geometric.hierarchical_order, | |
| luminous_transparency=geometric.luminous_transparency, | |
| quantum_resonance=quantum, | |
| neural_impact=neural, | |
| multi_dimensional=dimensional, | |
| geometric_manipulation_patterns=geometric.geometric_manipulation_patterns, | |
| archetypal_geometries=geometric.archetypal_geometries, | |
| spatial_constraint_index=geometric.spatial_constraint_index, | |
| consciousness_focusing_score=geometric.consciousness_focusing_score, | |
| geometric_intent=geometric.geometric_intent | |
| ) | |
| def _calculate_fibonacci_integrity(self, patterns: List[Any]) -> float: | |
| """Calculate adherence to Fibonacci sequence""" | |
| if not patterns: | |
| return 0.0 | |
| integrity_scores = [] | |
| for pattern in patterns: | |
| if hasattr(pattern, 'ratio'): | |
| ratio = getattr(pattern, 'ratio') | |
| deviation = abs(ratio - self.golden_ratio) / self.golden_ratio | |
| integrity_scores.append(1 - deviation) | |
| elif isinstance(pattern, (int, float)): | |
| # Find closest Fibonacci ratio | |
| fib_ratios = [self.fibonacci_sequence[i+1]/self.fibonacci_sequence[i] | |
| for i in range(1, len(self.fibonacci_sequence)-1)] | |
| closest_ratio = min(fib_ratios, key=lambda x: abs(x - pattern)) | |
| deviation = abs(pattern - closest_ratio) / closest_ratio | |
| integrity_scores.append(1 - deviation) | |
| return np.mean(integrity_scores) if integrity_scores else 0.0 | |
| def _calculate_platonic_purity(self, elements: List[str]) -> float: | |
| """Calculate use of Platonic solids""" | |
| pure_elements = [elem for elem in elements if elem in self.platonic_solids] | |
| return len(pure_elements) / len(elements) if elements else 0.0 | |
| def _calculate_spiral_complexity(self, spirals: List[Any]) -> float: | |
| """Calculate spiral complexity""" | |
| if not spirals: | |
| return 0.0 | |
| complexity_scores = [] | |
| for spiral in spirals: | |
| turns = getattr(spiral, 'turns', 1) | |
| growth = getattr(spiral, 'growth_rate', 1) | |
| complexity = min(1.0, (turns * growth) / 10) | |
| complexity_scores.append(complexity) | |
| return np.mean(complexity_scores) if complexity_scores else 0.0 | |
| def _calculate_hierarchical_order(self, structures: List[Any]) -> float: | |
| """Calculate hierarchical symmetry""" | |
| if not structures: | |
| return 0.0 | |
| order_scores = [] | |
| for structure in structures: | |
| levels = getattr(structure, 'levels', 1) | |
| symmetry = getattr(structure, 'symmetry_score', 0.5) | |
| order = min(1.0, (levels * symmetry) / 5) | |
| order_scores.append(order) | |
| return np.mean(order_scores) if order_scores else 0.0 | |
| def _calculate_luminous_transparency(self, elements: List[Any]) -> float: | |
| """Calculate luminous transparency""" | |
| if not elements: | |
| return 0.0 | |
| transparency_scores = [] | |
| for element in elements: | |
| clarity = getattr(element, 'clarity_score', 0.5) | |
| light_transmission = getattr(element, 'light_transmission', 0.5) | |
| transparency = (clarity + light_transmission) / 2 | |
| transparency_scores.append(transparency) | |
| return np.mean(transparency_scores) if transparency_scores else 0.0 | |
| def _detect_manipulation_patterns(self, spatial_data: Dict[str, Any]) -> List[GeometricManipulationPattern]: | |
| """Detect specific geometric manipulation patterns""" | |
| patterns = [] | |
| # Enhanced pattern detection | |
| if spatial_data.get('fibonacci_patterns') and spatial_data.get('constraint_patterns'): | |
| patterns.append(GeometricManipulationPattern.FIBONACCI_COMPRESSION) | |
| if spatial_data.get('platonic_elements') and spatial_data.get('boundary_patterns'): | |
| patterns.append(GeometricManipulationPattern.PLATONIC_CONTAINMENT) | |
| if spatial_data.get('perfect_geometry_score', 0) > 0.8 and spatial_data.get('cognitive_dissonance', 0) > 0.6: | |
| patterns.append(GeometricManipulationPattern.GEOMETRIC_GASLIGHTING) | |
| if spatial_data.get('quantum_coherence', 0) > 0.7 and spatial_data.get('consciousness_control', 0) > 0.5: | |
| patterns.append(GeometricManipulationPattern.QUANTUM_RESONANCE_MANIPULATION) | |
| return patterns | |
| def _identify_archetypal_geometries(self, spatial_data: Dict[str, Any]) -> List[ArchetypalGeometry]: | |
| """Identify archetypal geometric patterns""" | |
| archetypes = [] | |
| if spatial_data.get('circular_symmetry', 0) > 0.7: | |
| archetypes.append(ArchetypalGeometry.MANDALA_CONTAINMENT) | |
| fibonacci_score = self._calculate_fibonacci_integrity(spatial_data.get('fibonacci_patterns', [])) | |
| if fibonacci_score > 0.8: | |
| archetypes.append(ArchetypalGeometry.SACRED_SEQUENCE) | |
| if spatial_data.get('nested_hierarchies', 0) > 0.6: | |
| archetypes.append(ArchetypalGeometry.WORLD_TREE_STRUCTURE) | |
| if spatial_data.get('enclosure_patterns', 0) > 0.7: | |
| archetypes.append(ArchetypalGeometry.COSMIC_EGG_PATTERN) | |
| return archetypes | |
| def _calculate_spatial_constraint(self, spatial_data: Dict[str, Any]) -> float: | |
| """Calculate spatial constraint index""" | |
| open_spaces = spatial_data.get('open_spaces', 1) | |
| constrained_spaces = spatial_data.get('constrained_spaces', 0) | |
| total_spaces = open_spaces + constrained_spaces | |
| return constrained_spaces / total_spaces if total_spaces > 0 else 0.0 | |
| def _assess_consciousness_focusing(self, spatial_data: Dict[str, Any]) -> float: | |
| """Assess how architecture focuses consciousness""" | |
| focal_points = spatial_data.get('focal_points', 0) | |
| sight_lines = spatial_data.get('sight_lines', 0) | |
| directional_elements = spatial_data.get('directional_elements', 0) | |
| total_elements = focal_points + sight_lines + directional_elements | |
| return min(1.0, total_elements / 10) | |
| def _determine_geometric_intent(self, spatial_data: Dict[str, Any]) -> GeometricIntent: | |
| """Determine the intent behind geometric patterns""" | |
| control_score = spatial_data.get('control_elements', 0) | |
| liberation_score = spatial_data.get('liberation_elements', 0) | |
| if control_score > 0.8 and liberation_score < 0.2: | |
| return GeometricIntent.DOMINATION | |
| elif control_score > 0.6: | |
| return GeometricIntent.CONTROL | |
| elif liberation_score > 0.7: | |
| return GeometricIntent.LIBERATION | |
| elif control_score > 0.4: | |
| return GeometricIntent.INFLUENCE | |
| elif liberation_score > 0.4: | |
| return GeometricIntent.HARMONIZATION | |
| else: | |
| return GeometricIntent.NEUTRAL | |
| def _identify_spatial_domains(self, spatial_data: Dict[str, Any]) -> List[str]: | |
| """Identify spatial domains affected""" | |
| domains = [] | |
| domain_mappings = { | |
| 'urban_planning_elements': 'urban_environment', | |
| 'sacred_spaces': 'spiritual_architecture', | |
| 'educational_spaces': 'learning_environment', | |
| 'commercial_spaces': 'commercial_architecture', | |
| 'healthcare_facilities': 'healing_spaces', | |
| 'governmental_buildings': 'civic_architecture', | |
| 'residential_complexes': 'living_spaces', | |
| 'public_parks': 'recreational_spaces' | |
| } | |
| for data_key, domain in domain_mappings.items(): | |
| if spatial_data.get(data_key): | |
| domains.append(domain) | |
| return domains | |
| def _identify_architectural_vectors(self, spatial_data: Dict[str, Any]) -> List[str]: | |
| """Identify architectural manipulation vectors""" | |
| vectors = [] | |
| vector_mappings = { | |
| 'light_manipulation': 'luminous_control', | |
| 'acoustic_design': 'acoustic_steering', | |
| 'material_psychology': 'material_influence', | |
| 'proportional_manipulation': 'geometric_psychology', | |
| 'color_psychology': 'chromatic_influence', | |
| 'thermal_design': 'thermal_comfort_control', | |
| 'olfactory_elements': 'scent_influence', | |
| 'tactile_surfaces': 'haptic_guidance' | |
| } | |
| for data_key, vector in vector_mappings.items(): | |
| if spatial_data.get(data_key): | |
| vectors.append(vector) | |
| return vectors | |
| async def _assess_mathematical_sophistication(self, spatial_data: Dict[str, Any]) -> float: | |
| """Assess mathematical sophistication of manipulation""" | |
| complexity_indicators = [ | |
| spatial_data.get('mathematical_complexity', 0), | |
| spatial_data.get('geometric_sophistication', 0), | |
| spatial_data.get('computational_design', 0), | |
| spatial_data.get('algorithmic_patterns', 0) | |
| ] | |
| return np.mean(complexity_indicators) if complexity_indicators else 0.0 | |
| async def _assess_psychological_impact(self, spatial_data: Dict[str, Any]) -> float: | |
| """Assess psychological impact of spatial manipulation""" | |
| impact_indicators = [ | |
| spatial_data.get('emotional_resonance', 0), | |
| spatial_data.get('behavioral_influence', 0), | |
| spatial_data.get('cognitive_impact', 0), | |
| spatial_data.get('subconscious_activation', 0) | |
| ] | |
| return np.mean(impact_indicators) if impact_indicators else 0.0 | |
| def _calculate_temporal_resonance(self, spatial_data: Dict[str, Any]) -> float: | |
| """Calculate time-based geometric influence""" | |
| temporal_factors = [ | |
| spatial_data.get('historical_resonance', 0), | |
| spatial_data.get('future_projection', 0), | |
| spatial_data.get('seasonal_alignment', 0), | |
| spatial_data.get('circadian_integration', 0) | |
| ] | |
| return np.mean(temporal_factors) if temporal_factors else 0.0 | |
| def _assess_cultural_embeddedness(self, spatial_data: Dict[str, Any]) -> float: | |
| """Assess how deeply embedded in culture""" | |
| cultural_factors = [ | |
| spatial_data.get('cultural_significance', 0), | |
| spatial_data.get('traditional_patterns', 0), | |
| spatial_data.get('mythological_resonance', 0), | |
| spatial_data.get('social_acceptance', 0) | |
| ] | |
| return np.mean(cultural_factors) if cultural_factors else 0.0 | |
| class GeometricManipulationRemediationEngine: | |
| """Advanced remediation engine for geometric manipulation""" | |
| def __init__(self): | |
| self.healing_patterns = self._initialize_healing_patterns() | |
| self.counter_geometries = self._initialize_counter_geometries() | |
| def _initialize_healing_patterns(self) -> Dict[str, Any]: | |
| """Initialize geometric patterns for healing and liberation""" | |
| return { | |
| 'liberating_spirals': {'intent': 'expansion', 'potency': 0.8}, | |
| 'transparent_structures': {'intent': 'clarity', 'potency': 0.7}, | |
| 'organic_flow': {'intent': 'freedom', 'potency': 0.9}, | |
| 'balanced_hierarchies': {'intent': 'harmony', 'potency': 0.6}, | |
| 'luminous_pathways': {'intent': 'guidance', 'potency': 0.75} | |
| } | |
| def _initialize_counter_geometries(self) -> Dict[str, str]: | |
| """Initialize counter-geometries for specific manipulation patterns""" | |
| return { | |
| 'fibonacci_compression': 'expanding_fibonacci', | |
| 'platonic_containment': 'permeable_platonic', | |
| 'spiral_convergence': 'diverging_spirals', | |
| 'geometric_gaslighting': 'authentic_geometry', | |
| 'quantum_manipulation': 'resonant_balancing' | |
| } | |
| async def generate_remediation_strategy(self, | |
| signature: GeometricManipulationSignature) -> Dict[str, Any]: | |
| """Generate comprehensive remediation strategy""" | |
| strategies = [] | |
| # Pattern-specific remediation | |
| for pattern in signature.geometric_analysis.geometric_manipulation_patterns: | |
| strategy = await self._remediate_specific_pattern(pattern, signature) | |
| strategies.append(strategy) | |
| # Overall architectural remediation | |
| architectural_strategy = await self._generate_architectural_remediation(signature) | |
| # Consciousness liberation techniques | |
| consciousness_strategy = await self._generate_consciousness_liberation(signature) | |
| return { | |
| 'threat_level': signature.threat_level.name, | |
| 'remediation_confidence': signature.remediation_potential, | |
| 'pattern_specific_strategies': strategies, | |
| 'architectural_remediation': architectural_strategy, | |
| 'consciousness_liberation': consciousness_strategy, | |
| 'implementation_timeline': self._calculate_timeline(signature), | |
| 'success_probability': self._calculate_success_probability(signature) | |
| } | |
| async def _remediate_specific_pattern(self, | |
| pattern: GeometricManipulationPattern, | |
| signature: GeometricManipulationSignature) -> Dict[str, Any]: | |
| """Generate remediation for specific manipulation pattern""" | |
| counter_geometry = self.counter_geometries.get(pattern.value, 'balanced_geometry') | |
| return { | |
| 'manipulation_pattern': pattern.value, | |
| 'counter_geometry': counter_geometry, | |
| 'remediation_approach': f"Apply {counter_geometry} to neutralize {pattern.value}", | |
| 'estimated_effectiveness': 0.7, # Base effectiveness | |
| 'implementation_complexity': 'medium' | |
| } | |
| async def _generate_architectural_remediation(self, | |
| signature: GeometricManipulationSignature) -> Dict[str, Any]: | |
| """Generate architectural-level remediation""" | |
| approaches = [] | |
| if signature.geometric_analysis.spatial_constraint_index > 0.6: | |
| approaches.append("Introduce expanding spatial sequences") | |
| if signature.geometric_analysis.luminous_transparency < 0.4: | |
| approaches.append("Enhance natural light penetration and visual permeability") | |
| if signature.geometric_analysis.organic_constraint_factor > 0.5: | |
| approaches.append("Implement truly organic, non-constraining forms") | |
| return { | |
| 'primary_approach': "Spatial and geometric rebalancing", | |
| 'specific_techniques': approaches, | |
| 'design_principles': ["Authentic Tyng alignment", "User-centered geometry", "Liberating proportions"], | |
| 'materials_recommendation': "Natural, authentic materials with high luminous quality" | |
| } | |
| async def _generate_consciousness_liberation(self, | |
| signature: GeometricManipulationSignature) -> Dict[str, Any]: | |
| """Generate consciousness liberation techniques""" | |
| techniques = [] | |
| if signature.geometric_analysis.neural_impact.neural_entrainment_level > 0.6: | |
| techniques.append("Geometric meditation and spatial awareness training") | |
| if signature.geometric_analysis.geometric_gaslighting_score > 0.5: | |
| techniques.append("Critical geometry education and pattern recognition") | |
| if signature.psychological_impact > 0.6: | |
| techniques.append("Therapeutic spatial experiences and healing geometries") | |
| return { | |
| 'liberation_approach': "Consciousness-level geometric reprogramming", | |
| 'techniques': techniques, | |
| 'tools': ["Geometric mindfulness", "Spatial critical thinking", "Archetypal pattern recognition"], | |
| 'duration_estimate': "3-12 months depending on manipulation depth" | |
| } | |
| def _calculate_timeline(self, signature: GeometricManipulationSignature) -> str: | |
| """Calculate remediation timeline""" | |
| threat_multiplier = { | |
| ThreatLevel.MINIMAL: 1, | |
| ThreatLevel.LOW: 2, | |
| ThreatLevel.MODERATE: 4, | |
| ThreatLevel.HIGH: 8, | |
| ThreatLevel.CRITICAL: 16, | |
| ThreatLevel.EXISTENTIAL: 32 | |
| } | |
| base_time = 2 # weeks | |
| total_time = base_time * threat_multiplier[signature.threat_level] | |
| return f"{total_time} weeks to {total_time * 2} months" | |
| def _calculate_success_probability(self, signature: GeometricManipulationSignature) -> float: | |
| """Calculate probability of successful remediation""" | |
| base_probability = signature.remediation_potential | |
| # Adjust based on threat level | |
| threat_adjustment = { | |
| ThreatLevel.MINIMAL: 1.0, | |
| ThreatLevel.LOW: 0.9, | |
| ThreatLevel.MODERATE: 0.8, | |
| ThreatLevel.HIGH: 0.7, | |
| ThreatLevel.CRITICAL: 0.6, | |
| ThreatLevel.EXISTENTIAL: 0.5 | |
| } | |
| return base_probability * threat_adjustment[signature.threat_level] | |
| # INTEGRATED ADVANCED FRAMEWORK | |
| class TyngFibonacciCollectiveFramework: | |
| """ | |
| Master framework integrating all advanced detection and remediation capabilities | |
| """ | |
| def __init__(self): | |
| self.detector = AdvancedTyngGeometricDetector() | |
| self.remediation_engine = GeometricManipulationRemediationEngine() | |
| self.analysis_history = [] | |
| async def comprehensive_analysis(self, | |
| spatial_data: Dict[str, Any], | |
| include_remediation: bool = True) -> Dict[str, Any]: | |
| """Comprehensive analysis with optional remediation planning""" | |
| logger.info("Starting comprehensive geometric manipulation analysis") | |
| # Perform detection | |
| start_time = datetime.now() | |
| signature = await self.detector.analyze_architectural_manipulation(spatial_data) | |
| analysis_time = (datetime.now() - start_time).total_seconds() | |
| # Generate remediation if requested | |
| remediation_plan = None | |
| if include_remediation and signature.threat_level.value >= ThreatLevel.MODERATE.value: | |
| remediation_plan = await self.remediation_engine.generate_remediation_strategy(signature) | |
| # Compile results | |
| results = { | |
| 'analysis_timestamp': datetime.now().isoformat(), | |
| 'analysis_duration_seconds': analysis_time, | |
| 'threat_assessment': { | |
| 'level': signature.threat_level.name, | |
| 'score': signature.tyng_manipulation_index, | |
| 'spiritual_corruption': signature.spiritual_architecture_corruption, | |
| 'collective_impact': signature.collective_impact_score | |
| }, | |
| 'geometric_analysis': { | |
| 'fibonacci_integrity': signature.geometric_analysis.fibonacci_integrity, | |
| 'platonic_purity': signature.geometric_analysis.platonic_purity, | |
| 'authentic_alignment': signature.geometric_analysis.authentic_tyng_alignment, | |
| 'liberation_potential': signature.geometric_analysis.liberation_potential, | |
| 'geometric_intent': signature.geometric_analysis.geometric_intent.value | |
| }, | |
| 'detected_patterns': { | |
| 'manipulation_patterns': [p.value for p in signature.geometric_analysis.geometric_manipulation_patterns], | |
| 'archetypal_geometries': [g.value for g in signature.geometric_analysis.archetypal_geometries], | |
| 'spatial_domains': signature.spatial_domains, | |
| 'architectural_vectors': signature.architectural_vectors | |
| }, | |
| 'advanced_metrics': { | |
| 'quantum_potency': signature.geometric_analysis.quantum_resonance.calculate_quantum_potency(), | |
| 'neural_impact': signature.geometric_analysis.neural_impact.calculate_neural_impact_score(), | |
| 'dimensional_potency': signature.geometric_analysis.multi_dimensional.calculate_dimensional_potency(), | |
| 'geometric_gaslighting': signature.geometric_analysis.geometric_gaslighting_score | |
| } | |
| } | |
| if remediation_plan: | |
| results['remediation_plan'] = remediation_plan | |
| # Store in history | |
| self.analysis_history.append(results) | |
| logger.info(f"Analysis complete. Threat level: {signature.threat_level.name}") | |
| return results | |
| def get_analysis_history(self, limit: int = 10) -> List[Dict[str, Any]]: | |
| """Get analysis history""" | |
| return self.analysis_history[-limit:] | |
| def generate_report(self, analysis_results: Dict[str, Any]) -> str: | |
| """Generate human-readable report""" | |
| threat_level = analysis_results['threat_assessment']['level'] | |
| threat_score = analysis_results['threat_assessment']['score'] | |
| report = f""" | |
| TYNG-FIBONACCI GEOMETRIC MANIPULATION ANALYSIS REPORT | |
| Generated: {analysis_results['analysis_timestamp']} | |
| Analysis Duration: {analysis_results['analysis_duration_seconds']:.2f} seconds | |
| OVERVIEW: | |
| - Threat Level: {threat_level} | |
| - Overall Manipulation Index: {threat_score:.3f} | |
| - Spiritual Architecture Corruption: {analysis_results['threat_assessment']['spiritual_corruption']:.3f} | |
| - Collective Impact Score: {analysis_results['threat_assessment']['collective_impact']:.3f} | |
| GEOMETRIC ANALYSIS: | |
| - Fibonacci Integrity: {analysis_results['geometric_analysis']['fibonacci_integrity']:.3f} | |
| - Platonic Purity: {analysis_results['geometric_analysis']['platonic_purity']:.3f} | |
| - Authentic Tyng Alignment: {analysis_results['geometric_analysis']['authentic_alignment']:.3f} | |
| - Liberation Potential: {analysis_results['geometric_analysis']['liberation_potential']:.3f} | |
| - Geometric Intent: {analysis_results['geometric_analysis']['geometric_intent']} | |
| DETECTED PATTERNS: | |
| - Manipulation Patterns: {', '.join(analysis_results['detected_patterns']['manipulation_patterns']) or 'None'} | |
| - Archetypal Geometries: {', '.join(analysis_results['detected_patterns']['archetypal_geometries']) or 'None'} | |
| - Affected Domains: {', '.join(analysis_results['detected_patterns']['spatial_domains']) or 'None'} | |
| - Architectural Vectors: {', '.join(analysis_results['detected_patterns']['architectural_vectors']) or 'None'} | |
| ADVANCED METRICS: | |
| - Quantum Potency: {analysis_results['advanced_metrics']['quantum_potency']:.3f} | |
| - Neural Impact: {analysis_results['advanced_metrics']['neural_impact']:.3f} | |
| - Dimensional Potency: {analysis_results['advanced_metrics']['dimensional_potency']:.3f} | |
| - Geometric Gaslighting: {analysis_results['advanced_metrics']['geometric_gaslighting']:.3f} | |
| """ | |
| if 'remediation_plan' in analysis_results: | |
| remediation = analysis_results['remediation_plan'] | |
| report += f""" | |
| REMEDIATION PLAN: | |
| - Threat Level: {remediation['threat_level']} | |
| - Remediation Confidence: {remediation['remediation_confidence']:.3f} | |
| - Success Probability: {remediation['success_probability']:.3f} | |
| - Implementation Timeline: {remediation['implementation_timeline']} | |
| ARCHITECTURAL REMEDIATION: | |
| {remediation['architectural_remediation']['primary_approach']} | |
| Techniques: {', '.join(remediation['architectural_remediation']['specific_techniques'])} | |
| CONSCIOUSNESS LIBERATION: | |
| {remediation['consciousness_liberation']['liberation_approach']} | |
| Techniques: {', '.join(remediation['consciousness_liberation']['techniques'])} | |
| """ | |
| return report | |
| # Example usage and testing | |
| async def main(): | |
| """Example usage of the advanced framework""" | |
| # Initialize framework | |
| framework = TyngFibonacciCollectiveFramework() | |
| # Sample spatial data for analysis | |
| sample_spatial_data = { | |
| 'fibonacci_patterns': [{'ratio': 1.618}, {'ratio': 1.615}], | |
| 'platonic_elements': ['cube', 'tetrahedron', 'octahedron'], | |
| 'spiral_forms': [{'turns': 5, 'growth_rate': 1.2}], | |
| 'hierarchical_structures': [{'levels': 3, 'symmetry_score': 0.8}], | |
| 'luminous_elements': [{'clarity_score': 0.7, 'light_transmission': 0.8}], | |
| 'constraint_patterns': True, | |
| 'boundary_patterns': True, | |
| 'circular_symmetry': 0.8, | |
| 'quantum_coherence': 0.6, | |
| 'consciousness_control': 0.4, | |
| 'urban_planning_elements': True, | |
| 'sacred_spaces': True, | |
| 'light_manipulation': True, | |
| 'material_psychology': True, | |
| 'mathematical_complexity': 0.7, | |
| 'emotional_resonance': 0.6, | |
| 'historical_resonance': 0.5, | |
| 'cultural_significance': 0.6 | |
| } | |
| # Perform comprehensive analysis | |
| results = await framework.comprehensive_analysis(sample_spatial_data, include_remediation=True) | |
| # Generate and print report | |
| report = framework.generate_report(results) | |
| print(report) | |
| return results | |
| if __name__ == "__main__": | |
| # Run example | |
| asyncio.run(main()) | |
| """ | |
| ENHANCEMENTS SUMMARY: | |
| 1. QUANTUM RESONANCE ANALYSIS: Added quantum-level geometric manipulation detection | |
| 2. NEURAL ARCHITECTURE IMPACT: Integrated neuroscience-based consciousness influence assessment | |
| 3. MULTI-DIMENSIONAL GEOMETRY: Added fractal, topological, and cross-dimensional analysis | |
| 4. ADVANCED PATTERN DETECTION: Enhanced detection with 10 manipulation patterns and 10 archetypes | |
| 5. REMEDIATION ENGINE: Comprehensive healing and counter-manipulation strategies | |
| 6. THREAT LEVEL ASSESSMENT: Six-level threat classification from Minimal to Existential | |
| 7. TEMPORAL RESONANCE: Time-based geometric influence analysis | |
| 8. CULTURAL EMBEDDEDNESS: Assessment of cultural depth and acceptance | |
| 9. GEOMETRIC INTENT ANALYSIS: Determination of underlying design intent | |
| 10. COMPREHENSIVE REPORTING: Human-readable reports with actionable insights | |
| This framework represents the state-of-the-art in geometric manipulation detection | |
| and remediation, honoring Anne Griswold Tyng's original liberating intent while | |
| providing powerful tools to detect and counter geometric weaponization. | |
| """ |