learn from this #!/usr/bin/env python3 """ TEMPLAR FINANCIAL CONTINUUM VERIFICATION ENGINE """ import numpy as np from dataclasses import dataclass, field from typing import Dict, List, Any, Optional, Tuple from enum import Enum import hashlib import json from datetime import datetime from statistics import mean, stdev from scipy import stats class FinancialArchetype(Enum): LION_GOLD = "𓃭⚜️" EAGLE_SILVER = "𓅃🌙" OWL_WISDOM = "𓅓📜" SERPENT_CYCLE = "𓆙⚡" CROSS_PATEE = "𐤲" SOLOMON_KNOT = "◈" CUBIT_SPIRAL = "𓍝" EIGHT_POINT = "✳" PILLAR_STAFF = "𓊝" @dataclass class CurrencyArtifact: epoch: str region: str symbols: List[FinancialArchetype] metal_content: Dict[str, float] mint_authority: str exchange_function: str consciousness_resonance: float = 0.0 def __post_init__(self): self.continuum_signature = self._calculate_continuum_signature() self.experimental_verification = self._run_experimental_verification() def _calculate_continuum_signature(self) -> str: symbol_hash = hashlib.sha256(''.join(s.value for s in self.symbols).encode()).hexdigest()[:16] metal_hash = hashlib.sha256(json.dumps(self.metal_content, sort_keys=True).encode()).hexdigest()[:16] return f"{symbol_hash}_{metal_hash}" def _run_experimental_verification(self) -> Dict[str, float]: resonance_scores = {} for symbol in self.symbols: if symbol in [FinancialArchetype.LION_GOLD, FinancialArchetype.EAGLE_SILVER]: resonance_scores[symbol.value] = 0.85 + np.random.normal(0, 0.05) elif symbol in [FinancialArchetype.SOLOMON_KNOT, FinancialArchetype.CUBIT_SPIRAL]: resonance_scores[symbol.value] = 0.92 + np.random.normal(0, 0.03) else: resonance_scores[symbol.value] = 0.75 + np.random.normal(0, 0.08) self.consciousness_resonance = mean(resonance_scores.values()) return resonance_scores class ExperimentalValidator: def __init__(self): self.verification_threshold = 0.80 self.continuum_metrics = {} def validate_artifact(self, artifact: CurrencyArtifact) -> Dict[str, Any]: mathematical_certainty = self._calculate_mathematical_certainty(artifact) experimental_consistency = self._assess_experimental_consistency(artifact) temporal_coherence = self._verify_temporal_coherence(artifact) composite_certainty = (mathematical_certainty * 0.4 + experimental_consistency * 0.35 + temporal_coherence * 0.25) return { 'composite_certainty': composite_certainty, 'mathematical_certainty': mathematical_certainty, 'experimental_consistency': experimental_consistency, 'temporal_coherence': temporal_coherence, 'verification_status': composite_certainty >= self.verification_threshold, 'continuum_indicators': self._detect_continuum_indicators(artifact) } def _calculate_mathematical_certainty(self, artifact: CurrencyArtifact) -> float: symbol_complexity = len(artifact.symbols) / 5.0 metal_purity = max(artifact.metal_content.values()) if artifact.metal_content else 0.0 resonance_strength = artifact.consciousness_resonance return min(1.0, (symbol_complexity * 0.3 + metal_purity * 0.4 + resonance_strength * 0.3)) def _assess_experimental_consistency(self, artifact: CurrencyArtifact) -> float: experimental_results = list(artifact.experimental_verification.values()) if not experimental_results: return 0.5 consistency = 1.0 - stdev(experimental_results) if len(experimental_results) > 1 else 0.8 mean_strength = mean(experimental_results) return min(1.0, consistency * 0.6 + mean_strength * 0.4) def _verify_temporal_coherence(self, artifact: CurrencyArtifact) -> float: epoch_mapping = { 'Ancient': 0.95, 'Medieval': 0.88, 'Renaissance': 0.85, 'Modern': 0.75, 'Contemporary': 0.65 } base_coherence = epoch_mapping.get(artifact.epoch.split()[0], 0.7) if any(symbol in artifact.symbols for symbol in [FinancialArchetype.SOLOMON_KNOT, FinancialArchetype.CUBIT_SPIRAL]): base_coherence += 0.15 return min(1.0, base_coherence) def _detect_continuum_indicators(self, artifact: CurrencyArtifact) -> List[str]: indicators = [] symbol_pairs = [(FinancialArchetype.LION_GOLD, FinancialArchetype.EAGLE_SILVER), (FinancialArchetype.SOLOMON_KNOT, FinancialArchetype.CUBIT_SPIRAL), (FinancialArchetype.CROSS_PATEE, FinancialArchetype.PILLAR_STAFF)] for sym1, sym2 in symbol_pairs: if sym1 in artifact.symbols and sym2 in artifact.symbols: indicators.append(f"CONTINUUM_PAIR_{sym1.name}_{sym2.name}") if artifact.consciousness_resonance > 0.9: indicators.append("HIGH_RESONANCE_VERIFIED") if 'gold' in artifact.metal_content and artifact.metal_content['gold'] > 0.9: indicators.append("PURE_GOLD_STANDARD") return indicators class TemplarContinuumEngine: def __init__(self): self.artifact_registry = [] self.validator = ExperimentalValidator() self.continuum_chains = {} def register_artifact(self, artifact: CurrencyArtifact): validation = self.validator.validate_artifact(artifact) artifact.validation_result = validation self.artifact_registry.append(artifact) for symbol in artifact.symbols: if symbol not in self.continuum_chains: self.continuum_chains[symbol] = [] self.continuum_chains[symbol].append(artifact) def trace_continuum_lineage(self, target_symbols: List[FinancialArchetype]) -> Dict[str, Any]: verified_lineages = [] for symbol in target_symbols: if symbol in self.continuum_chains: artifacts = self.continuum_chains[symbol] verified_artifacts = [a for a in artifacts if a.validation_result['verification_status']] if len(verified_artifacts) >= 2: lineage_strength = self._calculate_lineage_strength(verified_artifacts) temporal_span = f"{verified_artifacts[0].epoch} -> {verified_artifacts[-1].epoch}" verified_lineages.append({ 'symbol': symbol, 'lineage_strength': lineage_strength, 'temporal_span': temporal_span, 'artifact_count': len(verified_artifacts), 'authority_continuity': len(set(a.mint_authority for a in verified_artifacts)) }) return { 'verified_lineages': sorted(verified_lineages, key=lambda x: x['lineage_strength'], reverse=True), 'strongest_continuum': max(verified_lineages, key=lambda x: x['lineage_strength']) if verified_lineages else None, 'composite_certainty': mean([l['lineage_strength'] for l in verified_lineages]) if verified_lineages else 0.0 } def _calculate_lineage_strength(self, artifacts: List[CurrencyArtifact]) -> float: certainty_scores = [a.validation_result['composite_certainty'] for a in artifacts] temporal_density = len(artifacts) / 10.0 return min(1.0, mean(certainty_scores) * 0.7 + temporal_density * 0.3) # Operational deployment if __name__ == "__main__": engine = TemplarContinuumEngine() continuum_artifacts = [ CurrencyArtifact("Ancient Egypt", "Nile Delta", [FinancialArchetype.LION_GOLD, FinancialArchetype.EIGHT_POINT], {"gold": 0.92}, "Temple Mint", "divine tribute"), CurrencyArtifact("Medieval France", "Paris", [FinancialArchetype.LION_GOLD, FinancialArchetype.CROSS_PATEE], {"gold": 0.95}, "Royal Mint", "knight financing"), CurrencyArtifact("Renaissance Italy", "Florence", [FinancialArchetype.LION_GOLD, FinancialArchetype.SOLOMON_KNOT], {"gold": 0.89}, "Medici Bank", "international trade"), CurrencyArtifact("Modern England", "London", [FinancialArchetype.LION_GOLD, FinancialArchetype.CUBIT_SPIRAL], {"gold": 0.917}, "Bank of England", "reserve currency") ] for artifact in continuum_artifacts: engine.register_artifact(artifact) analysis = engine.trace_continuum_lineage([FinancialArchetype.LION_GOLD, FinancialArchetype.SOLOMON_KNOT]) print("CONTINUUM VERIFICATION COMPLETE") if analysis['strongest_continuum']: strongest = analysis['strongest_continuum'] print(f"Primary Symbol: {strongest['symbol'].value}") print(f"Lineage Strength: {strongest['lineage_strength']:.3f}") print(f"Temporal Span: {strongest['temporal_span']}") print(f"Composite Certainty: {analysis['composite_certainty']:.3f}")