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91 lines
3.8 KiB
Python
91 lines
3.8 KiB
Python
# ==============================================================================
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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 time
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import sys
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import os
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import hashlib
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from pathlib import Path
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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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DEFAULT_MANIFOLD_PATH = Path(
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os.getenv("COLLECTIVE_MANIFOLD_PATH")
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or Path.home() / "Downloads" / "tsm_vdp_knowledge_manifold.dag.json"
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)
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# Import the N-Dimensional Soliton Engine logic
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# (Simulated for this script based on nd_soliton_engine.py)
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class CollectiveSubstrate:
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def __init__(self, manifold_path):
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with open(manifold_path, 'r') as f:
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self.manifold_data = json.load(f)
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self.nodes = self.manifold_data.get("nodes", {})
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self.edges = self.manifold_data.get("edges", [])
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print(f"[*] Collective Substrate Initialized: {len(self.nodes)} nodes, {len(self.edges)} edges.")
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def simulate_broadcast_query(self, target_slug):
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# 1. Generate the "Query Frequency" (Soliton Packet)
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query_hash = hashlib.sha256(target_slug.encode()).hexdigest()
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query_freq = (int(query_hash[:8], 16) % 1000) / 1000.0 * (1/1.618033)
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print(f"[*] Injecting Query Soliton: f = {query_freq:.6f}")
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start = time.perf_counter_ns()
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# 2. Simulate Wavefront Broadcast (Parallel Resonance)
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# In a real substrate, this happens in O(1) time across the network
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results = []
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for node_id, node in self.nodes.items():
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node_freq = node["n_dag_properties"]["phonon_energy"]
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# Resonance = 1 - delta
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resonance = 1.0 - abs(node_freq - query_freq)
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if resonance > 0.99999: # High precision lock
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results.append((node, resonance))
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end = time.perf_counter_ns()
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latency = (end - start) / 1000.0
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return results, latency
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def run_collective_sim():
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manifold_path = DEFAULT_MANIFOLD_PATH
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if not manifold_path.exists():
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print(f"[ERROR] Manifold not found at {manifold_path}. Please run transmutation first.")
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return
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substrate = CollectiveSubstrate(manifold_path)
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# Pick a random target from the manifold if nodes exist
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if not substrate.nodes:
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# Fallback if manifold is empty: simulate nodes
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print("[!] Manifold is empty. Simulating ephemeral collective...")
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substrate.nodes = {f"node_{i}": {"identity": {"slug": f"target_{i}"}, "n_dag_properties": {"phonon_energy": (hashlib.sha256(f"target_{i}".encode()).digest()[0] % 1000) / 1000.0}} for i in range(100)}
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target_slug = "target_42"
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else:
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# Use first node as target for demo
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target_node = list(substrate.nodes.values())[0]
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target_slug = target_node["identity"]["slug"]
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print(f"\n--- COLLECTIVE SUBSTRATE ACTION: RETRIEVE '{target_slug}' ---")
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results, latency = substrate.simulate_broadcast_query(target_slug)
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if results:
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res_node, res_val = results[0]
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nines = -xp.log10(1.0 - res_val) if res_val < 1.0 else 20.0
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print(f"\n[SUCCESS: RESONANCE ACHIEVED]")
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print(f" Node Identified: {res_node['identity']['name'] if 'name' in res_node['identity'] else res_node['identity']['slug']}")
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print(f" Collective Latency: {latency:.3f} μs (Simulated Parallel)")
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print(f" Phase-Lock Stability: {nines:.2f} nines")
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else:
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print("\n[FAILURE: NO RESONANCE]")
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if __name__ == "__main__":
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run_collective_sim()
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