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119 lines
5 KiB
Python
119 lines
5 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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# PTOS: LAYER=SECURITY / DOMAIN=ISOLATION / CONDITION=STABLE / STAGE=ACTIVE / SOURCE=CODE
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"""
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Secret Sub-Register Binder v4.0 — High-speed GPU/Neuromorph binding.
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==================================================================
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Binds .secrets/* files to the 11D Neuromorphic GPU Surface using TSM-AAC opcodes.
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"""
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import os
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import json
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import hashlib
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import sys
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
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from math_harness_compat import xp, AnyArray
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from pathlib import Path
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REPO_ROOT = Path(os.getenv("RESEARCH_STACK_ROOT") or Path(__file__).resolve().parents[1])
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DOWNLOADS_ROOT = Path(os.getenv("DOWNLOADS_ROOT") or Path.home() / "Downloads")
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# Add paths for dependencies
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sys.path.append(str(DOWNLOADS_ROOT))
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from tsm_aac_mcp_harness import TSMAACKernel, TermType
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from neuromorphic_soliton_miner import NeuromorphicGPUSurface, SolitonCollisionEngine
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ROOT = REPO_ROOT
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SECRETS_DIR = ROOT / ".secrets"
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DATA_DIR = ROOT / "data"
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# ── NE geometry scaffold (geometry-rip branch) ────────────────────────────────
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# Fixes EUCLIDEAN_ASSUMPTION_AUDIT finding #10 (MEDIUM): arithmetic mean of
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# bimodal (potentiated/depressed) Hebbian weights. Mean is wrong for bimodal.
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# Fix: use xp.median or fraction-above-0.5 as more geometrically meaningful proxy.
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_USE_NE_GEOMETRY = False
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class SecretBinder:
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def __init__(self):
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self.kernel = TSMAACKernel()
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self.surface = NeuromorphicGPUSurface(num_neurons=2048, dimensions=11)
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self.soliton_engine = SolitonCollisionEngine(dimensions=11)
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self.bindings = {}
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def bind_secret(self, secret_path: Path):
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"""Bind a secret using TSM-AAC opcodes 0x5F and 0x0E."""
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content = secret_path.read_bytes()
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secret_hash = hashlib.sha256(content).hexdigest()
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print(f"[bind] Binding {secret_path.name} (hash: {secret_hash[:16]}...)")
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# 1. PHI-locked seed from hash
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seed = int(secret_hash[:16], 16)
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xp.random.seed(seed % (2**32))
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# 2. Execute 0x01: ABSORB_BH
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# This "melts" the data into the manifold state-space
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state_id = self.kernel.absorb_bh(content.decode('utf-8', errors='ignore'), {"pkg": secret_path.name, "tier": "DIAMONDOID_HYDRIDE"})
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# 3. Execute 0x5F: LANE_REGISTER_BIND
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reg_id = f"R{seed % 16:02d}"
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bind_result = self.kernel.execute([("0x5F", [state_id, reg_id])])
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# 3. Generate and Collide Solitons
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s1 = self.soliton_engine.generate_soliton_packet(seed)
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s2 = self.soliton_engine.generate_soliton_packet(seed ^ 0xFFFFFFFF)
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collapsed = self.soliton_engine.collide_solitons(s1, s2)
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# 4. Execute 0x0E: NEUROMORPH_COLLISION
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# Reinforces the binding through the neural surface
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sub_register_id = f"subreg_{hashlib.sha256(collapsed.packet_id.encode()).hexdigest()[:12]}"
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self.kernel.execute([("0x0E", [sub_register_id, {"phi_resonance": 0.618034}])])
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# 5. Bind to Neural Surface (Weights)
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input_vector = collapsed.position / xp.linalg.norm(collapsed.position)
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self.surface.process_input(input_vector)
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self.surface.update_weights(1.0)
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self.bindings[secret_path.name] = {
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"sub_register_id": sub_register_id,
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"target_register": reg_id,
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"foam_score": round(float(
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# NE path: median is correct for bimodal Hebbian distributions.
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# AUDIT FINDING #10: arithmetic mean is wrong for bimodal (potentiated/depressed).
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xp.median(self.surface.synaptic_weights) if _USE_NE_GEOMETRY
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else xp.mean(self.surface.synaptic_weights)
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), 6),
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"nd_point": collapsed.position.tolist(),
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"attestation": bind_result[0]
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}
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print(f" -> Assigned to {reg_id} | {sub_register_id}")
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def save_registry(self):
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"""Update the substrate index with new bindings."""
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registry_path = DATA_DIR / "secret_sub_registers.json"
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DATA_DIR.mkdir(exist_ok=True)
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with open(registry_path, 'w') as f:
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json.dump(self.bindings, f, indent=2)
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print(f"\n[save] Secret Sub-Register Registry updated -> {registry_path}")
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def main():
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binder = SecretBinder()
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if not SECRETS_DIR.exists():
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print(f"Error: Secrets directory {SECRETS_DIR} not found.")
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return
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for secret_file in SECRETS_DIR.iterdir():
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if secret_file.is_file() and not secret_file.name.startswith("."):
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binder.bind_secret(secret_file)
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binder.save_registry()
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if __name__ == "__main__":
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main()
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