179 lines
19 KiB
Plaintext
179 lines
19 KiB
Plaintext
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ûï#jÕ9 ã ó: — d Z ddlmZ ddlZddlZddlZddlZddlZddlZddl m
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Z
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ddl m Z ddl
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mZ ddlZddlZddlZdZdZdZd Z e d
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« Zd Zd Zd Z d
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Z g d¢Z g d¢Z dZ dZ!dZ"g d¢Z#g d¢Z$e#e$z Z% G d„ d« Z&d„ Z'd d„Z(d„ Z)d„ Z*d„ Z+d „ Z,e-d k( r e,« yy) u¹ inject_sn_battery.py — signal-to-noise battery for per-variable lattice response
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Decision authority: Claude Desktop, 2026-06-06.
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Methodology
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-----------
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1. Baseline (10 min, no injects):
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subscribe to 5556 telemetry, record stress_xx/yy/xy each sample,
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compute σ per channel = the lattice's intrinsic noise floor.
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2. Per-variable battery:
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for each independent trade variable (6 of them) at 5 magnitudes
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sampled from the real BTC day distribution (p10, p25, p50, p75, p90),
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do exactly one isolated pulse:
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- record pre-pulse stress (mean of last ~30s window)
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- send single inject_density at (512, 512) sigma=32, strength encoded
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- monitor next ~5s for peak |Δstress_*|
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- wait for full decay (~150s ≈ 15k cycles) before next pulse
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Record peak Δ per axis. S/N = peak_Δ / σ_baseline.
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Output
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------
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/mnt/d/Resonance_Engine/sn_battery_results.jsonl
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one record per (variable, magnitude) trial:
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{
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"variable": "signed_flow_usd",
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"percentile": 90,
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"raw_value": ...,
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"z": ...,
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"strength": ...,
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"pre_cycle": ..., "post_cycle": ...,
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"pre": {"stress_xx": ..., "stress_yy": ..., "stress_xy": ...,
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"asymmetry": ..., "coherence": ...},
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"peak_delta_abs": {"stress_xx": ..., ...}, # max |during-pre|
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"peak_delta_signed": {"stress_xx": ..., ...}, # signed delta at moment of max abs
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}
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followed by one summary record at end with sigma_baseline and S/N table.
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LLM observer is NOT in this loop. Fractonaut watches passively, can be
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queried afterward.
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Run inside WSL (Windows pyzmq can't reach WSL loopback):
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cd /mnt/d/Resonance_Engine
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setsid nohup python3 -u inject_sn_battery.py > /tmp/sn_battery.log 2>&1 < /dev/null & disown
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