Display only; scoring and timing conclusions keep the legacy algorithm.
narayana_legacy_label attaches a Rath view (seed, deciding level, direction,
24 MDs, running MD/AD) under modules.narayana_dasha.rath for the consultation
modules, full reading Step 4.13 and the CLI. Reference report: one summary
line under the legacy line plus Rath MD / running-MD AD tables (English terms
added). Evidence card: narayana_rath (label, seed sign, level, running MD) on
timing / annual cards only — other cards sit at 11,979 of 12,000 characters.
Goldens re-captured from the real engine.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01N4f2nya58RoRu4yEmJgRGE
The full note pushed steve_jobs/marriage to 12,028 characters (budget
12,000), and cutting it in the card broke the 'nothing rewritten' contract.
The engine now also writes algorithm_label 旧算法（从上升起、一律顺行）, the card
copies it verbatim, and Narayana AD/PD rows drop years (end_age - start_age).
Largest card 11,979 (baseline 11,983). Goldens re-captured; the biography
golden now keeps the Narayana label keys too.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01N4f2nya58RoRu4yEmJgRGE
Round-4 ruling Q4 / product decision A: scoring and the consultation and
report time axes keep the old Narayana (from the Lagna, always zodiacal) until
the Rath trial is decided; every user-visible Narayana now says so.
narayana_legacy_label adds profile=legacy_reference_only and the note (zh/en)
at the consumers (consultation modules, full reading Step 4.13, CLI), not in
the frozen narayana_dasha.py (ERR-110/115). The card's timing.narayana carries
'algorithm'; the projection allowlist passes algorithm_note; the reference
report's Narayana section and the dasha-family table show '算法：…' (English
twin in the phrase table). The unused narayana-dasha --variant-profile flag,
the one place offering a Chara Dasha author's profile for Narayana, is removed.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01N4f2nya58RoRu4yEmJgRGE
