mirror of
https://github.com/allaunthefox/Research-Stack.git
synced 2026-07-31 03:05:21 +00:00
97 lines
3.6 KiB
Python
97 lines
3.6 KiB
Python
#!/usr/bin/env python3
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# ==============================================================================
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# COPYRIGHT NO ONE EVERYWHERE LLC (WYOMING HOLDING COMPANY)
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# PROJECT: SOVEREIGN STACK
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# This artifact is entirely proprietary and cryptographically proven.
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# Open-Source usage requires explicit permission from Brandon Scott Schneider.
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# ==============================================================================
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import json
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import math
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Dict, List, Any
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# UNIVERSE CONSTANTS (from nd_gauntlet_live.html)
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AETHER_FLOOR = 0.5
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AXES = ['content_hash', 'tier', 'kind', 'meta', 'omega', 'primitive']
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def fnv32(s: str) -> int:
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"""Implement FNV-1a 32-bit hash logic from nd_gauntlet_live.html."""
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h = 0x811c9dc5
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for char in s:
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h ^= ord(char)
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h = (h * 0x01000193) & 0xFFFFFFFF
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return h
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def claim_to_nd_vector(claim_text: str, claim_id: str) -> Dict[str, List[int]]:
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"""Implement 384-spin N-D vector generation logic from nd_gauntlet_live.html."""
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vectors: Dict[str, List[int]] = {}
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for axis in AXES:
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seed = fnv32(f"{axis}:{claim_id}:{claim_text[:200]}")
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spins: List[int] = []
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s_val = seed
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for _ in range(64):
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# Xorshift-style PRNG from the gauntlet JS
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s_val = ((s_val << 13) ^ s_val) & 0xFFFFFFFF
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s_val = ((s_val >> 17) ^ s_val) & 0xFFFFFFFF
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s_val = ((s_val << 5) ^ s_val) & 0xFFFFFFFF
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spins.append(1 if (s_val & 1) else -1)
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vectors[axis] = spins
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return vectors
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def main() -> None:
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claim_id = "Q11"
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domain = "HUMANITY_5D_ARCHETYPES"
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# Research Question formulation
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claim_text = (
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"Humanity-AI collaboration mapped to a 5D manifold via five personality archetypes: "
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"Explorer (discovery), Orchestrator (integration), Craftsperson (fidelity), "
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"Architect (theory), and Adapter (flexibility). AETHER_floor stability at 0.5 "
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"represents the equilibrium point of cognitive-systemic resonance."
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)
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print(f"[*] Encoding Claim {claim_id}...")
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vectors = claim_to_nd_vector(claim_text, claim_id)
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# Calculate initial metrics
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all_spins: List[int] = [s for axis in AXES for s in vectors[axis]]
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p_up = len([s for s in all_spins if s == 1]) / len(all_spins)
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p_dn = 1.0 - p_up
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entropy = -(p_up * math.log2(p_up) + p_dn * math.log2(p_dn)) if 0 < p_up < 1 else 0.0
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magnetization = abs(sum(all_spins) / len(all_spins))
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aether_error = abs(entropy - AETHER_FLOOR)
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status = "SINGULARITY" if aether_error < 0.05 else "PLASMA"
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manifest: Dict[str, Any] = {
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"claim_id": claim_id,
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"domain": domain,
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"encoded_utc": datetime.now(timezone.utc).isoformat(),
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"text": claim_text,
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"encoding": {
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"spin_dimensions": len(all_spins),
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"axes": AXES,
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"vectors": vectors,
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},
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"metrics": {
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"entropy_s": round(entropy, 6),
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"magnetization_m": round(magnetization, 6),
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"aether_floor_target": AETHER_FLOOR,
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"aether_error": round(aether_error, 6),
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"status": status
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}
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}
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out_path = Path("5-Applications/out/q11_research_encoding.json")
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out_path.parent.mkdir(parents=True, exist_ok=True)
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out_path.write_text(json.dumps(manifest, indent=2) + "\n", encoding="utf-8")
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print(f"[+] Encoding Complete.")
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print(f" Entropy S: {entropy:.6f}")
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print(f" Aether Error: {aether_error:.6f}")
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print(f" Status: {status}")
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print(f" Manifest written to {out_path}")
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if __name__ == "__main__":
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main()
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