732642856
c4c0eff67a
PyJHora oracle benchmark 10案例×120字段：
- Sign Sequence: 120/120 = 100.00%
- Duration: 110/120 = 91.67%
- Overall: 230/240 = 95.83% >= 95% ✅ PASS
修复:
- <=0检查顺序对齐PyJHora(先于尊贵调整)
- _PLANET_DIGNITY_KNRAO表(含Rahu/Ketu+set检查+Mercury own sign排除)
- _resolve_chara_dasha_lord()动态宫主判定框架
- bench脚本含Rahu/Ketu行星映射
已知限制: ~4.2%差异来自Aquarius/Scorpio共主动态判定(未来优化)
Jyotish Benchmark Suite
This directory contains the public benchmark material recovered and sanitized in v6.1.9.
Scope
- Samples: 10 fictional/public smoke cases in
data/benchmark_samples.json. - Scripts: reproducible comparison scripts under
scripts/. - Reports: markdown summary reports under
reports/.
Raw JSON/CSV outputs are intentionally not committed. Re-run the scripts locally to regenerate them under benchmarks/jyotish/outputs/.
Privacy rule
All committed samples are marked fictional_or_public_test. Do not add real user birth data, private chart output, personal life events, PDF extraction text, or private full-reading JSON to this directory.
Running
From the repository root:
python3 benchmarks/jyotish/scripts/run_skill_baseline.py
python3 benchmarks/jyotish/scripts/run_swiss_direct_compare.py
python3 benchmarks/jyotish/scripts/run_transit_true_compare.py
python3 benchmarks/jyotish/scripts/run_shadbala_invariants.py
Some scripts require optional local dependencies such as PyJHora or pyswisseph. If PyJHora is installed outside the default environment, set PYJHORA_SITE or PYJHORA_PATH as needed.
Historical benchmark rounds
The recovered reports document the benchmark sequence used to harden the engine:
- Local full-reading baseline
- Swiss direct planetary comparison
- Swiss extended comparison
- PyJHora comparison
- Mean/True node arbitration
- Arudha/A10 comparison
- Ashtakavarga comparison and book-example arbitration
- Chara Dasha comparison
- True transit comparison
- Shadbala internal invariants
- Explanation regression notes