Jyotisha/benchmarks/jyotish

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:

1. Local full-reading baseline
2. Swiss direct planetary comparison
3. Swiss extended comparison
4. PyJHora comparison
5. Mean/True node arbitration
6. Arudha/A10 comparison
7. Ashtakavarga comparison and book-example arbitration
8. Chara Dasha comparison
9. True transit comparison
10. Shadbala internal invariants
11. Explanation regression notes