Scruff AI
56c71c87b2
- cuda/ — main LBM kernel (khra_gixx_1024_v5.cu) - navigator/ — lattice_observer, golden_weave, bridges, mock daemon - scripts/ — compile, start, launch, setup (paths updated) - docs/ — system manual - archive/ — everything else (old kernels, inquiries, experiments) - README.md — full setup guide: requirements, quick start, use your own LLM - removed training/ entirely (broken LoRA scripts + datasets) - .gitignore: exclude build/ logs/ training/ *.jsonl
48 lines
1.2 KiB
Python
48 lines
1.2 KiB
Python
# mock_lbm_daemon.py
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# Simple mock LBM daemon for Open Feed testing
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import zmq
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import json
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import time
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import math
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def mock_daemon():
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ctx = zmq.Context()
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pub = ctx.socket(zmq.PUB)
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pub.bind("tcp://*:5556")
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print("[Mock LBM] Starting on port 5556...")
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print("[Mock LBM] Simulating 1024x1024 grid with Khra'gixx signature")
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cycle = 0
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while True:
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# Simulate Khra'gixx wave: 64-cell + 16-cell harmonics
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khra = math.sin(cycle * 0.02) * math.cos(cycle * 0.015) * 2.0
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gixx = math.sin(cycle * 0.2) * 0.5
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coherence = 15.0 + khra + gixx
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h64 = 7.8 + khra * 0.5
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h32 = 0.01 + abs(gixx) * 0.1
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vorticity = 0.5 + abs(khra) * 0.3
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data = {
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"cycle": cycle,
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"coherence": coherence,
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"h64": h64,
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"h32": h32,
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"vorticity": vorticity,
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"power_w": 50.0 + abs(khra) * 5.0,
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"grid": 1024
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}
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pub.send_json(data)
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if cycle % 100 == 0:
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print(f"[Mock LBM] Cycle {cycle}: Coh={coherence:.3f}, H64={h64:.3f}")
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cycle += 1
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time.sleep(0.01) # 100Hz
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if __name__ == "__main__":
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mock_daemon()
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