#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ QUANTUM LINGUISTIC TRUTH RESONANCE ENGINE Advanced Multilinguistic Truth Binding with Retrocausal Validation Integration of All Enhancement Suggestions """ import numpy as np from dataclasses import dataclass, field from enum import Enum from typing import Dict, List, Any, Optional, Tuple import hashlib import re from collections import Counter import asyncio import quantum from cryptography.hazmat.primitives import hashes from cryptography.hazmat.primitives.kdf.hkdf import HKDF from cryptography.hazmat.backends import default_backend import scipy.stats as stats from datetime import datetime import json class LanguageEra(Enum): """Comprehensive language eras including proto-human and indigenous systems""" PROTO_HUMAN_GESTURAL = "proto_human_gestural" # Pre-linguistic symbolic communication PROTO_HUMAN_VOCAL = "proto_human_vocal" # Pre-writing vocal patterns SUMERIAN = "sumerian" # ~3500 BCE EGYPTIAN_HIEROGLYPHIC = "egyptian" # ~3200 BCE ELAMITE = "elamite" # ~3000 BCE AKKADIAN = "akkadian" # ~2500 BCE EBLAITE = "eblaite" # ~2400 BCE HITTITE = "hittite" # ~1600 BCE MYCENAEAN_GREEK = "mycenaean_greek" # ~1450 BCE UGARITIC = "ugaritic" # ~1400 BCE PHOENICIAN = "phoenician" # ~1200 BCE ANCIENT_CHINESE = "ancient_chinese" # ~1200 BCE SANSKRIT = "sanskrit" # ~1000 BCE MAYAN = "mayan" # ~1000 BCE OLMEC = "olmec" # ~1200 BCE HEBREW = "hebrew" # ~1000 BCE ARAMAIC = "aramaic" # ~900 BCE LATIN = "latin" # ~700 BCE ANCIENT_GREEK = "ancient_greek" # ~700 BCE NAVAHO = "navaho" # ~1400 CE (continuous tradition) ABORIGINAL = "aboriginal" # ~50,000 BCE (continuous) class LinguisticTruthMarker(Enum): """Enhanced truth marker taxonomy""" COSMOLOGICAL_ALIGNMENT = "cosmological_alignment" SACRED_GEOMETRY = "sacred_geometry" NUMEROLOGICAL_ENCODING = "numerological_encoding" PHONETIC_RESONANCE = "phonetic_resonance" SYMBOLIC_CORRESPONDENCE = "symbolic_correspondence" TEMPORAL_CYCLES = "temporal_cycles" RETROCAUSAL_ECHO = "retrocausal_echo" CONSCIOUSNESS_RESONANCE = "consciousness_resonance" QUANTUM_ENTANGLEMENT = "quantum_entanglement" MORPHIC_RESONANCE = "morphic_resonance" class TruthConsensusLevel(Enum): """Levels of cross-linguistic truth consensus""" SINGLE_SOURCE = "single_source" REGIONAL_CONSENSUS = "regional_consensus" HEMISPHERIC_CONSENSUS = "hemispheric_consensus" GLOBAL_CONSENSUS = "global_consensus" TEMPORAL_CONSENSUS = "temporal_consensus" # Across time periods UNIVERSAL_CONSENSUS = "universal_consensus" @dataclass class CryptographicTruthSignature: """Cryptographic signature for truth patterns across language families""" truth_hash: str cross_linguistic_proof: str temporal_validation_hash: str quantum_entanglement_signature: str retrocausal_verification: str consensus_proof: str @dataclass class AncientLanguage: """Enhanced ancient language data structure with quantum properties""" era: LanguageEra time_period: Tuple[int, int] writing_system: str sample_script: List[str] = field(default_factory=list) truth_markers: List[LinguisticTruthMarker] = field(default_factory=list) modern_equivalents: Dict[str, str] = field(default_factory=dict) resonance_frequency: float = 0.0 quantum_coherence: float = 0.0 retrocausal_potential: float = 0.0 consciousness_coupling: float = 0.0 morphic_field_strength: float = 0.0 def __post_init__(self): """Calculate advanced resonance properties""" age = abs(self.time_period[0]) complexity = len(self.sample_script) / 10 marker_strength = len(self.truth_markers) * 0.1 # Base resonance with quantum enhancement self.resonance_frequency = min(0.98, 0.3 + (age / 10000) + complexity + marker_strength) # Quantum coherence based on symbolic complexity self.quantum_coherence = min(0.95, 0.2 + (len(self.sample_script) * 0.05) + (age / 20000)) # Retrocausal potential (older = more potential) self.retrocausal_potential = min(0.9, age / 15000) # Consciousness coupling (based on truth marker types) consciousness_markers = {LinguisticTruthMarker.CONSCIOUSNESS_RESONANCE, LinguisticTruthMarker.QUANTUM_ENTANGLEMENT} self.consciousness_coupling = len(consciousness_markers.intersection(self.truth_markers)) * 0.3 # Morphic field strength (collective recognition) self.morphic_field_strength = min(0.85, 0.1 + (age / 25000) + (len(self.modern_equivalents) * 0.1)) @dataclass class LinguisticTruthMatch: """Enhanced truth match with quantum and cryptographic properties""" language: AncientLanguage matched_patterns: List[str] confidence: float truth_markers_detected: List[LinguisticTruthMarker] cross_linguistic_correlations: List[str] temporal_coherence: float symbolic_resonance: float quantum_entanglement_score: float retrocausal_influence: float consciousness_alignment: float cryptographic_signature: CryptographicTruthSignature consensus_level: TruthConsensusLevel morphic_resonance_strength: float @dataclass class QuantumLinguisticState: """Quantum state representation of linguistic truth""" superposition_states: List[str] entanglement_patterns: Dict[str, float] coherence_level: float collapse_probability: float temporal_echoes: List[int] class AdvancedMultilinguisticTruthBinder: """ Ultimate truth binding through quantum linguistic resonance Integrates all enhancement suggestions """ def __init__(self): self.language_corpus = self._initialize_comprehensive_languages() self.pattern_analyzer = AdvancedLinguisticPatternAnalyzer() self.temporal_validator = QuantumTemporalValidator() self.symbolic_decoder = QuantumSymbolicDecoder() self.cryptographic_prover = LinguisticCryptographicProver() self.quantum_processor = QuantumLinguisticProcessor() self.retrocausal_validator = RetrocausalLinguisticValidator() self.consensus_engine = TruthConsensusEngine() def _initialize_comprehensive_languages(self) -> Dict[LanguageEra, AncientLanguage]: """Initialize comprehensive language database with all enhancements""" languages = { LanguageEra.PROTO_HUMAN_GESTURAL: AncientLanguage( era=LanguageEra.PROTO_HUMAN_GESTURAL, time_period=(-100000, -3500), writing_system="Gestural/Symbolic", sample_script=["○", "△", "□", "卍", "⚡"], # Universal symbols truth_markers=[ LinguisticTruthMarker.SYMBOLIC_CORRESPONDENCE, LinguisticTruthMarker.CONSCIOUSNESS_RESONANCE, LinguisticTruthMarker.MORPHIC_RESONANCE ], modern_equivalents={ "circle": "wholeness", "triangle": "trinity", "spiral": "evolution" }, resonance_frequency=0.95, quantum_coherence=0.88, retrocausal_potential=0.92, consciousness_coupling=0.85, morphic_field_strength=0.90 ), LanguageEra.SUMERIAN: AncientLanguage( era=LanguageEra.SUMERIAN, time_period=(-3500, -2000), writing_system="Cuneiform", sample_script=["𒀭", "𒆠", "𒌋", "𒂍", "𒈬"], truth_markers=[ LinguisticTruthMarker.COSMOLOGICAL_ALIGNMENT, LinguisticTruthMarker.NUMEROLOGICAL_ENCODING, LinguisticTruthMarker.SACRED_GEOMETRY, LinguisticTruthMarker.RETROCAUSAL_ECHO ], modern_equivalents={ "dingir": "divine", "ki": "earth", "an": "heaven", "me": "cosmic principles" }, resonance_frequency=0.92, quantum_coherence=0.85, retrocausal_potential=0.88, consciousness_coupling=0.75, morphic_field_strength=0.82 ), LanguageEra.MAYAN: AncientLanguage( era=LanguageEra.MAYAN, time_period=(-1000, 1500), writing_system="Mayan Hieroglyphs", sample_script=["𓃒", "𓆑", "𓁰", "𓂻", "𓆼"], # Mayan glyph approximations truth_markers=[ LinguisticTruthMarker.TEMPORAL_CYCLES, LinguisticTruthMarker.COSMOLOGICAL_ALIGNMENT, LinguisticTruthMarker.NUMEROLOGICAL_ENCODING, LinguisticTruthMarker.QUANTUM_ENTANGLEMENT ], modern_equivalents={ "kin": "time/sun", "ch'ulel": "spiritual essence", "k'uh": "divine", "tzolk'in": "sacred calendar" }, resonance_frequency=0.87, quantum_coherence=0.82, retrocausal_potential=0.79, consciousness_coupling=0.80, morphic_field_strength=0.78 ), LanguageEra.ABORIGINAL: AncientLanguage( era=LanguageEra.ABORIGINAL, time_period=(-50000, 2024), writing_system="Oral/Songline", sample_script=["🌀", "🕒", "🌏", "🎵", "👣"], # Symbolic representations truth_markers=[ LinguisticTruthMarker.TEMPORAL_CYCLES, LinguisticTruthMarker.CONSCIOUSNESS_RESONANCE, LinguisticTruthMarker.MORPHIC_RESONANCE, LinguisticTruthMarker.RETROCAUSAL_ECHO ], modern_equivalents={ "dreamtime": "eternal creation", "songline": "cosmic navigation", "country": "living landscape", "ancestor": "formative beings" }, resonance_frequency=0.96, quantum_coherence=0.90, retrocausal_potential=0.94, consciousness_coupling=0.92, morphic_field_strength=0.95 ), LanguageEra.SANSKRIT: AncientLanguage( era=LanguageEra.SANSKRIT, time_period=(-1000, 500), writing_system="Devanagari", sample_script=["अ", "आ", "इ", "ई", "उ"], truth_markers=[ LinguisticTruthMarker.PHONETIC_RESONANCE, LinguisticTruthMarker.COSMOLOGICAL_ALIGNMENT, LinguisticTruthMarker.NUMEROLOGICAL_ENCODING, LinguisticTruthMarker.CONSCIOUSNESS_RESONANCE ], modern_equivalents={ "satya": "truth", "dharma": "cosmic law", "brahman": "ultimate reality", "mantra": "sound vibration" }, resonance_frequency=0.85, quantum_coherence=0.83, retrocausal_potential=0.76, consciousness_coupling=0.88, morphic_field_strength=0.80 ) } # Add remaining languages... return languages async def analyze_text_quantum_truth(self, text: str, context: Dict[str, Any] = None) -> List[LinguisticTruthMatch]: """Advanced quantum linguistic truth analysis""" results = [] quantum_states = [] for era in sorted(self.language_corpus.keys(), key=lambda x: x.value): language = self.language_corpus[era] if context and "min_resonance" in context: if language.resonance_frequency < context["min_resonance"]: continue # Quantum linguistic processing quantum_state = await self.quantum_processor.process_language_layer(text, language) quantum_states.append(quantum_state) # Comprehensive analysis analysis = await self._analyze_quantum_language_layer(text, language, quantum_state, context) if analysis.confidence > 0.6: results.append(analysis) # Apply quantum entanglement between language layers entangled_results = await self._apply_quantum_entanglement(results, quantum_states) return sorted(entangled_results, key=lambda x: x.language.time_period[0]) async def _analyze_quantum_language_layer(self, text: str, language: AncientLanguage, quantum_state: QuantumLinguisticState, context: Dict[str, Any]) -> LinguisticTruthMatch: """Advanced quantum-enhanced language layer analysis""" # Multi-dimensional pattern matching pattern_matches = await self.pattern_analyzer.detect_quantum_patterns(text, language, quantum_state) # Truth marker detection with quantum awareness truth_markers = await self.pattern_analyzer.detect_quantum_truth_markers(text, language, quantum_state) # Temporal coherence with retrocausal validation temporal_coherence = await self.temporal_validator.validate_quantum_temporal_coherence( text, language, quantum_state, context) # Symbolic resonance with quantum properties symbolic_resonance = await self.symbolic_decoder.calculate_quantum_symbolic_resonance( text, language, quantum_state) # Quantum entanglement scoring quantum_entanglement = await self.quantum_processor.calculate_entanglement_score( language, quantum_state) # Retrocausal influence measurement retrocausal_influence = await self.retrocausal_validator.measure_retrocausal_influence( text, language, quantum_state) # Consciousness alignment consciousness_alignment = await self._calculate_consciousness_alignment( text, language, quantum_state) # Cryptographic truth signature cryptographic_sig = await self.cryptographic_prover.generate_truth_signature( text, language, pattern_matches, truth_markers) # Cross-linguistic correlations with quantum enhancement cross_correlations = await self._find_quantum_cross_correlations( text, language, quantum_state) # Consensus level determination consensus_level = await self.consensus_engine.determine_truth_consensus( text, language, cross_correlations) # Morphic resonance strength morphic_resonance = await self._calculate_morphic_resonance( language, quantum_state, consensus_level) # Confidence calculation with quantum factors confidence = self._calculate_quantum_confidence( pattern_matches, truth_markers, temporal_coherence, symbolic_resonance, quantum_entanglement, retrocausal_influence, consciousness_alignment, language, quantum_state ) return LinguisticTruthMatch( language=language, matched_patterns=pattern_matches, confidence=confidence, truth_markers_detected=truth_markers, cross_linguistic_correlations=cross_correlations, temporal_coherence=temporal_coherence, symbolic_resonance=symbolic_resonance, quantum_entanglement_score=quantum_entanglement, retrocausal_influence=retrocausal_influence, consciousness_alignment=consciousness_alignment, cryptographic_signature=cryptographic_sig, consensus_level=consensus_level, morphic_resonance_strength=morphic_resonance ) async def _apply_quantum_entanglement(self, results: List[LinguisticTruthMatch], quantum_states: List[QuantumLinguisticState]) -> List[LinguisticTruthMatch]: """Apply quantum entanglement between language analysis results""" if len(results) < 2: return results entangled_results = [] for i, result in enumerate(results): # Calculate entanglement boost from other languages entanglement_boost = 0.0 for j, other_state in enumerate(quantum_states): if i != j: entanglement = quantum_states[i].entanglement_patterns.get(str(j), 0.0) entanglement_boost += entanglement * 0.1 # Apply entanglement to confidence new_confidence = min(1.0, result.confidence + entanglement_boost) result.confidence = new_confidence entangled_results.append(result) return entangled_results async def _calculate_consciousness_alignment(self, text: str, language: AncientLanguage, quantum_state: QuantumLinguisticState) -> float: """Calculate consciousness alignment score""" alignment_factors = [] # Language consciousness coupling alignment_factors.append(language.consciousness_coupling) # Quantum coherence contribution alignment_factors.append(quantum_state.coherence_level * 0.3) # Consciousness-related markers consciousness_markers = {LinguisticTruthMarker.CONSCIOUSNESS_RESONANCE, LinguisticTruthMarker.QUANTUM_ENTANGLEMENT} marker_alignment = len(consciousness_markers.intersection(language.truth_markers)) * 0.2 alignment_factors.append(marker_alignment) return np.mean(alignment_factors) async def _find_quantum_cross_correlations(self, text: str, language: AncientLanguage, quantum_state: QuantumLinguisticState) -> List[str]: """Find quantum-enhanced cross-linguistic correlations""" correlations = [] for era, other_language in self.language_corpus.items(): if era == language.era: continue # Quantum correlation detection quantum_correlation = await self.quantum_processor.detect_language_correlation( language, other_language, quantum_state) if quantum_correlation > 0.7: correlations.append(f"Quantum correlation with {era.value}: {quantum_correlation:.3f}") # Shared truth markers with quantum enhancement shared_markers = set(language.truth_markers).intersection(other_language.truth_markers) if shared_markers: quantum_marker_strength = len(shared_markers) * quantum_correlation correlations.append(f"Quantum-enhanced shared markers with {era.value}: {quantum_marker_strength:.3f}") return correlations async def _calculate_morphic_resonance(self, language: AncientLanguage, quantum_state: QuantumLinguisticState, consensus_level: TruthConsensusLevel) -> float: """Calculate morphic resonance strength""" base_resonance = language.morphic_field_strength # Quantum coherence boost quantum_boost = quantum_state.coherence_level * 0.2 # Consensus level boost consensus_boost = { TruthConsensusLevel.SINGLE_SOURCE: 0.0, TruthConsensusLevel.REGIONAL_CONSENSUS: 0.1, TruthConsensusLevel.HEMISPHERIC_CONSENSUS: 0.2, TruthConsensusLevel.GLOBAL_CONSENSUS: 0.3, TruthConsensusLevel.TEMPORAL_CONSENSUS: 0.4, TruthConsensusLevel.UNIVERSAL_CONSENSUS: 0.5 }[consensus_level] return min(1.0, base_resonance + quantum_boost + consensus_boost) def _calculate_quantum_confidence(self, pattern_matches: List[str], truth_markers: List[LinguisticTruthMarker], temporal_coherence: float, symbolic_resonance: float, quantum_entanglement: float, retrocausal_influence: float, consciousness_alignment: float, language: AncientLanguage, quantum_state: QuantumLinguisticState) -> float: """Calculate quantum-enhanced confidence score""" factors = [] weights = [] # Traditional factors if pattern_matches: pattern_strength = min(1.0, len(pattern_matches) * 0.2) factors.append(pattern_strength) weights.append(0.2) marker_strength = len(truth_markers) * 0.15 factors.append(marker_strength) weights.append(0.15) factors.append(temporal_coherence) weights.append(0.1) factors.append(symbolic_resonance) weights.append(0.1) # Quantum factors factors.append(quantum_entanglement) weights.append(0.15) factors.append(retrocausal_influence) weights.append(0.1) factors.append(consciousness_alignment) weights.append(0.1) factors.append(language.resonance_frequency) weights.append(0.05) factors.append(quantum_state.coherence_level) weights.append(0.05) return np.average(factors, weights=weights) class QuantumLinguisticProcessor: """Processes linguistic patterns through quantum computational models""" async def process_language_layer(self, text: str, language: AncientLanguage) -> QuantumLinguisticState: """Process language layer through quantum simulation""" # Create quantum superposition of linguistic patterns superposition = await self._create_linguistic_superposition(text, language) # Calculate entanglement patterns entanglement = await self._calculate_entanglement_patterns(text, language) # Measure quantum coherence coherence = await self._measure_quantum_coherence(text, language) # Calculate collapse probability collapse_prob = await self._calculate_collapse_probability(text, language) # Detect temporal echoes temporal_echoes = await self._detect_temporal_echoes(text, language) return QuantumLinguisticState( superposition_states=superposition, entanglement_patterns=entanglement, coherence_level=coherence, collapse_probability=collapse_prob, temporal_echoes=temporal_echoes ) async def calculate_entanglement_score(self, language: AncientLanguage, quantum_state: QuantumLinguisticState) -> float: """Calculate quantum entanglement score for language""" base_entanglement = language.quantum_coherence # Enhance with measured entanglement patterns pattern_entanglement = np.mean(list(quantum_state.entanglement_patterns.values())) if quantum_state.entanglement_patterns else 0.0 return min(1.0, base_entanglement + pattern_entanglement * 0.3) async def detect_language_correlation(self, lang1: AncientLanguage, lang2: AncientLanguage, quantum_state: QuantumLinguisticState) -> float: """Detect quantum correlation between two languages""" # Calculate base correlation from shared properties shared_markers = set(lang1.truth_markers).intersection(lang2.truth_markers) base_correlation = len(shared_markers) * 0.1 # Time period overlap correlation time_overlap = self._calculate_time_overlap(lang1.time_period, lang2.time_period) time_correlation = time_overlap * 0.2 # Quantum state correlation quantum_correlation = quantum_state.coherence_level * 0.3 return min(1.0, base_correlation + time_correlation + quantum_correlation) def _calculate_time_overlap(self, period1: Tuple[int, int], period2: Tuple[int, int]) -> float: """Calculate temporal overlap between language periods""" start1, end1 = period1 start2, end2 = period2 overlap_start = max(start1, start2) overlap_end = min(end1, end2) if overlap_start <= overlap_end: overlap_duration = overlap_end - overlap_start total_duration = max(end1, end2) - min(start1, start2) return overlap_duration / total_duration if total_duration > 0 else 0.0 return 0.0 # Additional advanced classes (AdvancedLinguisticPatternAnalyzer, QuantumTemporalValidator, # QuantumSymbolicDecoder, LinguisticCryptographicProver, RetrocausalLinguisticValidator, # TruthConsensusEngine) would be implemented here with full quantum and cryptographic enhancements... async def demonstrate_quantum_linguistic_analysis(): """Demonstrate the advanced quantum linguistic truth analysis""" binder = AdvancedMultilinguisticTruthBinder() test_texts = [ "The dreamtime ancestors walk the songlines of eternal creation", "Sumerian dingir and Egyptian neter both represent divine consciousness", "Quantum entanglement manifests in both Sanskrit mantras and Aboriginal songlines", "Temporal cycles encoded in both Mayan calendar and Vedic yugas", "Consciousness resonance across all ancient truth traditions" ] print("🔮 QUANTUM LINGUISTIC TRUTH RESONANCE ENGINE") print("=" * 70) for i, text in enumerate(test_texts, 1): print(f"\n{i}. Quantum Analysis: '{text}'") results = await binder.analyze_text_quantum_truth(text, { "temporal_focus": 2024, "min_resonance": 0.7, "quantum_processing": True }) for result in results[:2]: print(f" 🌌 {result.language.era.value.upper()}") print(f" 📊 Confidence: {result.confidence:.3f}") print(f" ⚛️ Quantum: {result.quantum_entanglement_score:.3f}") print(f" ⏳ Retrocausal: {result.retrocausal_influence:.3f}") print(f" 🧠 Consciousness: {result.consciousness_alignment:.3f}") print(f" 🔗 Consensus: {result.consensus_level.value}") print(f" 🌊 Morphic: {result.morphic_resonance_strength:.3f}") if __name__ == "__main__": asyncio.run(demonstrate_quantum_linguistic_analysis())