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docs(spectral_profile): mark as disconnected from Lean pipeline

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The byte-level co-occurrence spectral profile is not used by the formal
PIST classification system (which uses 8×8 braid adjacency matrices).
Added warning to docstring to prevent confusion.
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allaunthefox 2026-07-01 20:10:00 +00:00
parent eba0528728
commit 412c951126
1 changed files with 5 additions and 5 deletions
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python/spectral_profile.py
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@ -2,12 +2,12 @@
"""
spectral_profile.py — 8D Spectral Profile from Byte-Level Co-occurrence Statistics
Computes an 8-dimensional spectral profile from the raw byte structure of an
equation string. Uses ONLY byte-level co-occurrence statistics — no semantic
parsing, no tokenization, no NLP.
⚠️ DISCONNECTED FROM LEAN PIPELINE — This module computes a byte-level
spectral profile that is NOT used by the formal SilverSight system.
The Lean PIST pipeline uses 8×8 braid adjacency matrices from
rrc_pist_predictions_250_v1.json, not byte co-occurrence profiles.
The 8 dimensions are derived from the byte co-occurrence matrix C where
C[i,j] = count of byte i followed by byte j (with wrap-around).
Retained for experimental/Python-side use only.
"""
import math