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- Add sanitized Jyotish benchmark suite with fictional/public smoke samples - Include benchmark scripts and markdown reports while excluding raw JSON/CSV outputs - Add open-source Jyotish project comparison research - Add complete technique coverage roadmap - Add privacy-safe PDF chart validation methodology - Update SKILL.md and CHANGELOG with v6.1.9 scope and privacy boundaries Validation: - py_compile benchmarks/jyotish/scripts/*.py passed - quality gate passed with 35 pytest tests and golden case
1.6 KiB
1.6 KiB
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