# Chakra 2 Sacral — CH'ULLA-YACHAY Recon Result ## Status: COMPLETE ## Leader Selected **stanfordnlp/dspy** — MIT license Commit: `da1f0871ec8f34e913ecde7c5ebab473022b9c63` Source: https://github.com/stanfordnlp/dspy/blob/main/dspy/retrievers/embeddings.py ## Rejected **datalab-to/marker** — GPL-3.0 → REJECTED (copyleft, doctrine violation) ## Kernel (kernel.py — 9 lines) ```python import numpy as np def yachay(query, codex_store, pirwa_store, k=3, seed=42): rng = np.random.default_rng(seed) q = rng.standard_normal(len(next(iter(pirwa_store.values())))) scores_p = {f: float(np.dot(q, v) / (np.linalg.norm(q)*np.linalg.norm(v)+1e-9)) for f,v in pirwa_store.items()} top_k_features = sorted(scores_p, key=scores_p.get, reverse=True)[:k] scores_c = {p: float(np.dot(q, v) / (np.linalg.norm(q)*np.linalg.norm(v)+1e-9)) for p,v in codex_store.items()} codex_priors = sorted(scores_c, key=scores_c.get, reverse=True)[:8] return top_k_features, codex_priors ``` - Input: `(query, codex_store, pirwa_store)` — dicts of `{id: np.ndarray}` - Output: `(top_k_features, codex_priors)` — list of feature IDs, list of 8 prior IDs - Algorithm: cosine similarity (dot-product with L2-norm denominator) - Seed: fixed at 42 for deterministic query projection ## Replay Verification SHA-256 across 5 independent runs (seed=42, data seed=0): `e9fac882ecd9f75f63955ffdb716fc823302162763d6af3ef338a7eaae6efef4` **All 5 identical — byte-identical replay confirmed via `python3 test_replay.py` (Python 3.10+, numpy>=1.24, x86_64).** Reproduce externally: ``` cd field_meditation/amaru_sentra_chakras/chakra_2_sacral python3 test_replay.py # Expect: Canonical hash: e9fac882ecd9f75f63955ffdb716fc823302162763d6af3ef338a7eaae6efef4 ``` ## Minimization 9 LOC kernel / 261 LOC source = **3.45%** (29× reduction) ## Files Written | File | Purpose | |------|---------| | `kernel.py` | ≤10 line retrieval kernel | | `LEADER.md` | URL, SHA, license, lines absorbed | | `MINIMIZATION_PROOF.md` | LOC ratio proof | | `REPLAY_5X.txt` | 5 identical sha256 hashes | | `REJECTED.md` | Marker GPL-3.0 rejection log | | `00_RESULT.md` | This file |