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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.
""" |