#!/usr/bin/env python3 # ============================================================================== # COPYRIGHT NO ONE EVERYWHERE LLC (WYOMING HOLDING COMPANY) # PROJECT: SOVEREIGN STACK # This artifact is entirely proprietary and cryptographically proven. # Open-Source usage requires explicit permission from Brandon Scott Schneider. # ============================================================================== import json import math from datetime import datetime, timezone from pathlib import Path from typing import Dict, List, Any # UNIVERSE CONSTANTS (from nd_gauntlet_live.html) AETHER_FLOOR = 0.5 AXES = ['content_hash', 'tier', 'kind', 'meta', 'omega', 'primitive'] def fnv32(s: str) -> int: """Implement FNV-1a 32-bit hash logic from nd_gauntlet_live.html.""" h = 0x811c9dc5 for char in s: h ^= ord(char) h = (h * 0x01000193) & 0xFFFFFFFF return h def claim_to_nd_vector(claim_text: str, claim_id: str) -> Dict[str, List[int]]: """Implement 384-spin N-D vector generation logic from nd_gauntlet_live.html.""" vectors: Dict[str, List[int]] = {} for axis in AXES: seed = fnv32(f"{axis}:{claim_id}:{claim_text[:200]}") spins: List[int] = [] s_val = seed for _ in range(64): # Xorshift-style PRNG from the gauntlet JS s_val = ((s_val << 13) ^ s_val) & 0xFFFFFFFF s_val = ((s_val >> 17) ^ s_val) & 0xFFFFFFFF s_val = ((s_val << 5) ^ s_val) & 0xFFFFFFFF spins.append(1 if (s_val & 1) else -1) vectors[axis] = spins return vectors def main() -> None: claim_id = "Q11" domain = "HUMANITY_5D_ARCHETYPES" # Research Question formulation claim_text = ( "Humanity-AI collaboration mapped to a 5D manifold via five personality archetypes: " "Explorer (discovery), Orchestrator (integration), Craftsperson (fidelity), " "Architect (theory), and Adapter (flexibility). AETHER_floor stability at 0.5 " "represents the equilibrium point of cognitive-systemic resonance." ) print(f"[*] Encoding Claim {claim_id}...") vectors = claim_to_nd_vector(claim_text, claim_id) # Calculate initial metrics all_spins: List[int] = [s for axis in AXES for s in vectors[axis]] p_up = len([s for s in all_spins if s == 1]) / len(all_spins) p_dn = 1.0 - p_up entropy = -(p_up * math.log2(p_up) + p_dn * math.log2(p_dn)) if 0 < p_up < 1 else 0.0 magnetization = abs(sum(all_spins) / len(all_spins)) aether_error = abs(entropy - AETHER_FLOOR) status = "SINGULARITY" if aether_error < 0.05 else "PLASMA" manifest: Dict[str, Any] = { "claim_id": claim_id, "domain": domain, "encoded_utc": datetime.now(timezone.utc).isoformat(), "text": claim_text, "encoding": { "spin_dimensions": len(all_spins), "axes": AXES, "vectors": vectors, }, "metrics": { "entropy_s": round(entropy, 6), "magnetization_m": round(magnetization, 6), "aether_floor_target": AETHER_FLOOR, "aether_error": round(aether_error, 6), "status": status } } out_path = Path("5-Applications/out/q11_research_encoding.json") out_path.parent.mkdir(parents=True, exist_ok=True) out_path.write_text(json.dumps(manifest, indent=2) + "\n", encoding="utf-8") print(f"[+] Encoding Complete.") print(f" Entropy S: {entropy:.6f}") print(f" Aether Error: {aether_error:.6f}") print(f" Status: {status}") print(f" Manifest written to {out_path}") if __name__ == "__main__": main()