ClaudeandClaude Opus 5.5 74169e1bfc fix(benchmark): pass the ayanamsa to both engines and refuse a mismatched baseline ...

The local baseline still claimed "lahiri_assumed_by_skill" after the engine
default moved to Raman, so the PyJHora comparison reported 59% instead of
~95% (every longitude 1.446 deg off). The baseline now passes --ayanamsa and
--node-mode to the engine and records what the engine reports; the compare
takes --ayanamsa and stops when the baseline was built differently. The nine
public Rodden AA backtest figures join the fixed samples.

Raman run (19 samples): ascendant, planets, nakshatras, D2/D4/D9/D10 and
Ashtakavarga all 100%; Shadbala and three old-chart dashas differ (separate).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DbBXoyeZrYn6ryNcSe5Y2Y

2026-11-04 11:55:22 +08:00

..

jyotish

fix(benchmark): pass the ayanamsa to both engines and refuse a mismatched baseline

2026-11-04 11:55:22 +08:00

vedastro_nuget_probe

feat: import reproducible timing validation

2026-07-17 22:19:09 +08:00

xalen_oracle

feat: import reproducible timing validation

2026-07-17 22:19:09 +08:00

run_all_benchmarks.py

v6.9.1: 优化方案100%完成 — Yoga精度+Tajika Varshaphala

2026-06-11 22:28:26 +08:00