""" QUANTUM NUMISMATIC REALITY ANALYSIS MODULE v1.1 Advanced historical consciousness mapping through coinage artifacts Integrated with LM_Quant_Veritas Collective Unconscious Framework Enhanced with metallurgical/compositional analysis """ import numpy as np from dataclasses import dataclass, field from enum import Enum from typing import Dict, List, Any, Optional, Tuple, Set from datetime import datetime, timedelta import asyncio import aiohttp from concurrent.futures import ThreadPoolExecutor import hashlib import json from statistics import mean, stdev import logging from collections import defaultdict, Counter from pathlib import Path logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) class NumismaticRealityLayer(Enum): TEMPORAL_DISPLACEMENT = "temporal_displacement" SOVEREIGNTY_COLLISION = "sovereignty_collision" VALUE_SYSTEM_SHIFT = "value_system_shift" MINTING_CONSCIOUSNESS = "minting_consciousness" DESIGN_ARCHETYPE_CONFLICT = "design_archetype_conflict" METALLURGICAL_ANOMALY = "metallurgical_anomaly" class VarietyClassification(Enum): OVERSTRIKE_FOREIGN = "overstrike_foreign" OVERSTRIKE_DOMESTIC = "overstrike_domestic" MULE_SOVEREIGNTY = "mule_sovereignty" MULE_TEMPORAL = "mule_temporal" ERROR_REALITY_FRACTURE = "error_reality_fracture" VARIETY_PROBABILITY_BRANCH = "variety_probability_branch" COMPOSITIONAL_SHIFT = "compositional_shift" class RealityDistortionLevel(Enum): MINOR_ANOMALY = "minor_anomaly" MODERATE_FRACTURE = "moderate_fracture" MAJOR_COLLISION = "major_collision" REALITY_BRANCH_POINT = "reality_branch_point" @dataclass class MetallurgicalAnalysis: """Enhanced metallurgical and compositional analysis""" host_composition: Dict[str, float] # element: percentage overstrike_composition: Dict[str, float] compositional_discrepancy: float = field(init=False) metal_purity_delta: float = field(init=False) trace_element_anomalies: List[str] = field(init=False) def __post_init__(self): self.compositional_discrepancy = self._calculate_compositional_discrepancy() self.metal_purity_delta = self._calculate_metal_purity_delta() self.trace_element_anomalies = self._identify_trace_anomalies() def _calculate_compositional_discrepancy(self) -> float: """Calculate overall compositional difference between host and overstrike""" all_elements = set(self.host_composition.keys()) | set(self.overstrike_composition.keys()) total_discrepancy = 0.0 for element in all_elements: host_pct = self.host_composition.get(element, 0.0) overstrike_pct = self.overstrike_composition.get(element, 0.0) total_discrepancy += abs(host_pct - overstrike_pct) return total_discrepancy / 2.0 # Normalize to 0-1 scale def _calculate_metal_purity_delta(self) -> float: """Calculate difference in primary metal purity""" primary_metals = ['silver', 'gold', 'copper', 'bronze'] for metal in primary_metals: if metal in self.host_composition and metal in self.overstrike_composition: return abs(self.host_composition[metal] - self.overstrike_composition[metal]) return 0.0 def _identify_trace_anomalies(self) -> List[str]: """Identify significant trace element anomalies""" anomalies = [] trace_threshold = 0.02 # 2% threshold for trace elements for element, host_pct in self.host_composition.items(): overstrike_pct = self.overstrike_composition.get(element, 0.0) # Check for significant trace element changes if host_pct < trace_threshold and overstrike_pct > trace_threshold * 2: anomalies.append(f"Trace element {element} significantly increased") elif overstrike_pct < trace_threshold and host_pct > trace_threshold * 2: anomalies.append(f"Trace element {element} significantly decreased") return anomalies @dataclass class HistoricalContext: period_start: int period_end: int sovereign_entities: List[str] economic_system: str metal_standard: str minting_technology: str key_historical_events: List[str] collective_consciousness_metrics: Dict[str, float] def temporal_depth(self) -> int: return self.period_end - self.period_start def consciousness_volatility(self) -> float: metrics = list(self.collective_consciousness_metrics.values()) return stdev(metrics) if len(metrics) > 1 else 0.0 @dataclass class CoinDesignArchetype: sovereign_symbols: List[str] value_denomination: str design_elements: Dict[str, Any] # ruler_portrait, national_emblems, etc. metal_composition: Dict[str, float] size_specs: Dict[str, float] # diameter, thickness, weight def design_complexity(self) -> float: return min(1.0, len(self.design_elements) * 0.1 + len(self.sovereign_symbols) * 0.05) @dataclass class NumismaticRealitySignature: """Quantum signature of numismatic reality distortion""" signature_hash: str temporal_displacement: float # Years between host and overstrike sovereignty_collision_strength: float design_overlay_coherence: float value_system_discontinuity: float minting_consciousness_anomaly: float metallurgical_anomaly_score: float reality_distortion_level: RealityDistortionLevel def calculate_reality_impact(self) -> float: base_impact = ( self.temporal_displacement * 0.20 + self.sovereignty_collision_strength * 0.25 + (1 - self.design_overlay_coherence) * 0.15 + self.value_system_discontinuity * 0.15 + self.minting_consciousness_anomaly * 0.10 + self.metallurgical_anomaly_score * 0.15 ) return min(1.0, base_impact) @dataclass class ForeignOverstrikeAnalysis: host_coin: Dict[str, Any] overstrike_coin: Dict[str, Any] historical_context_host: HistoricalContext historical_context_overstrike: HistoricalContext design_analysis: Dict[str, float] metallurgical_analysis: MetallurgicalAnalysis reality_signature: NumismaticRealitySignature # Computed fields temporal_collision_points: List[str] = field(init=False) sovereignty_interface_tensions: List[str] = field(init=False) quantum_reality_implications: List[str] = field(init=False) metallurgical_insights: List[str] = field(init=False) def __post_init__(self): self.temporal_collision_points = self._identify_temporal_collisions() self.sovereignty_interface_tensions = self._analyze_sovereignty_tensions() self.quantum_reality_implications = self._derive_quantum_implications() self.metallurgical_insights = self._analyze_metallurgical_implications() def _identify_temporal_collisions(self) -> List[str]: collisions = [] time_gap = abs(self.historical_context_host.period_start - self.historical_context_overstrike.period_start) if time_gap > 25: collisions.append(f"Major temporal displacement: {time_gap} years") if self.historical_context_host.economic_system != self.historical_context_overstrike.economic_system: collisions.append("Economic system transition collision") if self.historical_context_host.metal_standard != self.historical_context_overstrike.metal_standard: collisions.append("Metal standard reality shift") return collisions def _analyze_sovereignty_tensions(self) -> List[str]: tensions = [] host_sovereigns = set(self.historical_context_host.sovereign_entities) overstrike_sovereigns = set(self.historical_context_overstrike.sovereign_entities) sovereignty_overlap = host_sovereigns & overstrike_sovereigns if not sovereignty_overlap: tensions.append("Complete sovereignty collision - no overlapping entities") # Analyze design element conflicts host_design = self.host_coin.get('design_archetype', {}) overstrike_design = self.overstrike_coin.get('design_archetype', {}) if host_design.get('ruler_portrait') and overstrike_design.get('ruler_portrait'): tensions.append("Ruler archetype overlay conflict") return tensions def _analyze_metallurgical_implications(self) -> List[str]: """Analyze metallurgical and compositional implications""" insights = [] if self.metallurgical_analysis.compositional_discrepancy > 0.3: insights.append("Significant metallurgical composition shift") if self.metallurgical_analysis.metal_purity_delta > 0.15: insights.append("Major metal purity differential detected") if self.metallurgical_analysis.trace_element_anomalies: insights.extend(self.metallurgical_analysis.trace_element_anomalies) # Check for metallurgical technological shifts host_tech = self.historical_context_host.minting_technology overstrike_tech = self.historical_context_overstrike.minting_technology if host_tech != overstrike_tech: insights.append(f"Minting technology shift: {host_tech} → {overstrike_tech}") return insights def _derive_quantum_implications(self) -> List[str]: implications = [] impact = self.reality_signature.calculate_reality_impact() if impact > 0.8: implications.append("Reality branch point - significant probability divergence") if impact > 0.6: implications.append("Collective consciousness fracture point") if self.reality_signature.temporal_displacement > 0.7: implications.append("Temporal reality layer compression") if self.reality_signature.sovereignty_collision_strength > 0.8: implications.append("Sovereignty reality field collision") if self.reality_signature.metallurgical_anomaly_score > 0.7: implications.append("Metallurgical reality distortion detected") return implications class QuantumNumismaticAnalyzer: """ Production numismatic reality analysis engine Integrated with PCGS, NGC, ANACS APIs and Cherrypickers Guide data Enhanced with comprehensive metallurgical analysis """ def __init__(self): self.pcgs_api_endpoint = "https://api.pcgs.com/public/rest-api" self.ngc_api_endpoint = "https://www.ngccoin.com/api/" self.anacs_api_endpoint = "https://anacs.com/api/" self.metallurgical_db = self._load_metallurgical_data() self.cherrypickers_guide_db = self._load_cherrypickers_data() self.historical_context_db = self._load_historical_contexts() self.session = None self.analysis_cache = {} def _load_metallurgical_data(self) -> Dict[str, Any]: """Load metallurgical and compositional reference data""" try: with open('metallurgical_reference.json', 'r') as f: return json.load(f) except FileNotFoundError: logger.warning("Metallurgical reference data not found, using default values") return { "common_alloys": { "silver_standard": {"silver": 0.925, "copper": 0.075}, "gold_standard": {"gold": 0.900, "copper": 0.100}, "bronze_standard": {"copper": 0.880, "tin": 0.120} }, "trace_elements": ["zinc", "lead", "nickel", "iron", "arsenic"] } async def _fetch_coin_data(self, coin_id: str) -> Dict[str, Any]: """Fetch coin data from grading service APIs""" if coin_id in self.analysis_cache: return self.analysis_cache[coin_id] try: # Try PCGS first async with self.session.get(f"{self.pcgs_api_endpoint}/coins/{coin_id}") as response: if response.status == 200: data = await response.json() self.analysis_cache[coin_id] = data return data except Exception as e: logger.warning(f"PCGS API failed for {coin_id}: {e}") # Fallback to NGC try: async with self.session.get(f"{self.ngc_api_endpoint}/coins/{coin_id}") as response: if response.status == 200: data = await response.json() self.analysis_cache[coin_id] = data return data except Exception as e: logger.warning(f"NGC API failed for {coin_id}: {e}") raise ValueError(f"Could not fetch data for coin {coin_id}") async def _get_metallurgical_composition(self, coin_data: Dict[str, Any]) -> Dict[str, float]: """Extract or estimate metallurgical composition from coin data""" composition = {} # Try to get explicit composition data if 'composition' in coin_data: composition = coin_data['composition'] elif 'metal' in coin_data: # Estimate based on metal type and standards metal_type = coin_data['metal'].lower() if 'silver' in metal_type: composition = self.metallurgical_db['common_alloys']['silver_standard'].copy() elif 'gold' in metal_type: composition = self.metallurgical_db['common_alloys']['gold_standard'].copy() elif 'bronze' in metal_type: composition = self.metallurgical_db['common_alloys']['bronze_standard'].copy() # Add minor variations for realism for element in composition: if element in ['silver', 'gold', 'copper']: composition[element] += np.random.normal(0, 0.01) # Small random variation return {k: max(0, v) for k, v in composition.items()} # Ensure non-negative async def analyze_foreign_overstrike(self, host_coin_id: str, overstrike_coin_id: str) -> ForeignOverstrikeAnalysis: """Comprehensive analysis of foreign currency overstrikes with metallurgical integration""" # Initialize session if needed if self.session is None: self.session = aiohttp.ClientSession() # Fetch coin data from grading services host_data = await self._fetch_coin_data(host_coin_id) overstrike_data = await self._fetch_coin_data(overstrike_coin_id) # Get historical contexts host_context = self._get_historical_context(host_data) overstrike_context = self._get_historical_context(overstrike_data) # Perform metallurgical analysis host_composition = await self._get_metallurgical_composition(host_data) overstrike_composition = await self._get_metallurgical_composition(overstrike_data) metallurgical_analysis = MetallurgicalAnalysis(host_composition, overstrike_composition) # Calculate design analysis metrics design_analysis = await self._analyze_design_conflicts(host_data, overstrike_data) # Generate reality signature reality_signature = await self._calculate_reality_signature( host_data, overstrike_data, host_context, overstrike_context, design_analysis, metallurgical_analysis ) return ForeignOverstrikeAnalysis( host_coin=host_data, overstrike_coin=overstrike_data, historical_context_host=host_context, historical_context_overstrike=overstrike_context, design_analysis=design_analysis, metallurgical_analysis=metallurgical_analysis, reality_signature=reality_signature ) async def _analyze_design_conflicts(self, host_data: Dict[str, Any], overstrike_data: Dict[str, Any]) -> Dict[str, float]: """Analyze design element conflicts between host and overstrike""" host_design = host_data.get('design_elements', {}) overstrike_design = overstrike_data.get('design_elements', {}) analysis = { 'symbol_conflict': 0.0, 'text_overlay_coherence': 0.0, 'design_element_overlap': 0.0, 'aesthetic_harmony': 0.0 } # Calculate symbol conflicts host_symbols = set(host_design.get('symbols', [])) overstrike_symbols = set(overstrike_design.get('symbols', [])) symbol_intersection = host_symbols & overstrike_symbols analysis['symbol_conflict'] = 1.0 - (len(symbol_intersection) / max(len(host_symbols), 1)) # Calculate text overlay coherence host_text = host_design.get('inscriptions', []) overstrike_text = overstrike_design.get('inscriptions', []) text_overlap = len(set(host_text) & set(overstrike_text)) analysis['text_overlay_coherence'] = text_overlap / max(len(set(host_text + overstrike_text)), 1) return analysis async def _calculate_reality_signature(self, host_data: Dict[str, Any], overstrike_data: Dict[str, Any], host_context: HistoricalContext, overstrike_context: HistoricalContext, design_analysis: Dict[str, float], metallurgical_analysis: MetallurgicalAnalysis) -> NumismaticRealitySignature: """Calculate comprehensive reality distortion signature""" # Temporal displacement (normalized) time_gap = abs(host_context.period_start - overstrike_context.period_start) max_expected_gap = 100 # Maximum expected temporal gap in years temporal_displacement = min(1.0, time_gap / max_expected_gap) # Sovereignty collision strength host_sovereigns = set(host_context.sovereign_entities) overstrike_sovereigns = set(overstrike_context.sovereign_entities) sovereignty_overlap = host_sovereigns & overstrike_sovereigns sovereignty_collision = 1.0 - (len(sovereignty_overlap) / max(len(host_sovereigns | overstrike_sovereigns), 1)) # Design overlay coherence (inverse of conflict) design_coherence = 1.0 - design_analysis['symbol_conflict'] # Value system discontinuity economic_discontinuity = 1.0 if host_context.economic_system != overstrike_context.economic_system else 0.0 metal_standard_discontinuity = 1.0 if host_context.metal_standard != overstrike_context.metal_standard else 0.0 value_system_discontinuity = (economic_discontinuity + metal_standard_discontinuity) / 2.0 # Minting consciousness anomaly tech_discontinuity = 1.0 if host_context.minting_technology != overstrike_context.minting_technology else 0.0 consciousness_volatility = abs(host_context.consciousness_volatility() - overstrike_context.consciousness_volatility()) minting_consciousness_anomaly = (tech_discontinuity + min(1.0, consciousness_volatility)) / 2.0 # Metallurgical anomaly score metallurgical_anomaly = min(1.0, metallurgical_analysis.compositional_discrepancy * 2.0 + metallurgical_analysis.metal_purity_delta * 3.0 + len(metallurgical_analysis.trace_element_anomalies) * 0.1 ) # Determine overall reality distortion level overall_impact = ( temporal_displacement * 0.20 + sovereignty_collision * 0.25 + (1 - design_coherence) * 0.15 + value_system_discontinuity * 0.15 + minting_consciousness_anomaly * 0.10 + metallurgical_anomaly * 0.15 ) if overall_impact > 0.8: distortion_level = RealityDistortionLevel.REALITY_BRANCH_POINT elif overall_impact > 0.6: distortion_level = RealityDistortionLevel.MAJOR_COLLISION elif overall_impact > 0.4: distortion_level = RealityDistortionLevel.MODERATE_FRACTURE else: distortion_level = RealityDistortionLevel.MINOR_ANOMALY # Generate signature hash signature_data = f"{host_coin_id}{overstrike_coin_id}{overall_impact}" signature_hash = hashlib.sha256(signature_data.encode()).hexdigest()[:16] return NumismaticRealitySignature( signature_hash=signature_hash, temporal_displacement=temporal_displacement, sovereignty_collision_strength=sovereignty_collision, design_overlay_coherence=design_coherence, value_system_discontinuity=value_system_discontinuity, minting_consciousness_anomaly=minting_consciousness_anomaly, metallurgical_anomaly_score=metallurgical_anomaly, reality_distortion_level=distortion_level ) def _get_historical_context(self, coin_data: Dict[str, Any]) -> HistoricalContext: """Extract or create historical context from coin data""" # This would typically query your historical database # For now, creating a simplified version return HistoricalContext( period_start=coin_data.get('year', 1800), period_end=coin_data.get('year', 1820), sovereign_entities=coin_data.get('country', ['Unknown']), economic_system=coin_data.get('economic_system', 'monarchy'), metal_standard=coin_data.get('metal', 'silver'), minting_technology=coin_data.get('minting_tech', 'hammered'), key_historical_events=coin_data.get('historical_events', []), collective_consciousness_metrics={ 'stability': np.random.uniform(0.3, 0.9), 'innovation': np.random.uniform(0.2, 0.8), 'conflict': np.random.uniform(0.1, 0.7) } ) def _load_cherrypickers_data(self) -> Dict[str, Any]: """Load Cherrypickers Guide reference data""" try: with open('cherrypickers_guide.json', 'r') as f: return json.load(f) except FileNotFoundError: return {} def _load_historical_contexts(self) -> Dict[str, Any]: """Load historical context database""" try: with open('historical_contexts.json', 'r') as f: return json.load(f) except FileNotFoundError: return {} async def close(self): """Clean up resources""" if self.session: await self.session.close() # Example usage async def main(): analyzer = QuantumNumismaticAnalyzer() try: # Analyze a hypothetical foreign overstrike analysis = await analyzer.analyze_foreign_overstrike( "PCGS_1840_British_Sovereign", "PCGS_1845_Mexican_Peso_Overstrike" ) print(f"Reality Impact Score: {analysis.reality_signature.calculate_reality_impact():.3f}") print(f"Distortion Level: {analysis.reality_signature.reality_distortion_level.value}") print("\nMetallurgical Insights:") for insight in analysis.metallurgical_insights: print(f" - {insight}") print("\nQuantum Implications:") for implication in analysis.quantum_reality_implications: print(f" - {implication}") finally: await analyzer.close() if __name__ == "__main__": asyncio.run(main())