File size: 3,164 Bytes
75c88df | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | """Build a uniform JSONL index from the unchanged release's JSON results."""
from __future__ import annotations
import argparse
from collections import Counter
import json
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
def load_rows(root: Path = ROOT) -> list[dict[str, str]]:
rows = []
def add(file, pointer, values, suite, category, arithmetic):
for i, record in enumerate(values):
rows.append({
"case_id": f"{suite}:{category}:{i:03d}",
"suite": suite, "category": category, "arithmetic": arithmetic,
"source_file": file, "source_pointer": f"{pointer}/{i}" if pointer else "",
"record_json": json.dumps(record, ensure_ascii=False, sort_keys=True, separators=(",", ":")),
})
query_file = "research/query_minimax_verification.json"
query = json.loads((root / query_file).read_text(encoding="utf-8"))
for i, record in enumerate(query["records"]):
arithmetic = "high_precision_decimal" if record["case"].startswith("infinite") else "exact_rational"
add(query_file, "/records", [record], "query_minimax", "threshold_query", arithmetic)
rows[-1]["source_pointer"] = f"/records/{i}"
rows[-1]["case_id"] = f"query_minimax:threshold_query:{i:03d}"
graph_file = "research/validation_v2/constructive_verification_results.json"
graph = json.loads((root / graph_file).read_text(encoding="utf-8"))
add(graph_file, "/graphs", graph["graphs"], "constructive", "graph_metric", "exact_rational")
add(graph_file, "/finite_element_normalization", graph["finite_element_normalization"],
"constructive", "magnetic_fem", "floating_point")
for key in ("determinant_examples", "critical_cutoff_inertia_examples"):
add(graph_file, f"/critical_coupling/{key}", graph["critical_coupling"][key],
"constructive", key, "exact_rational")
noise_file = "research/validation_v2/noisy_counterexamples_results.json"
noise = json.loads((root / noise_file).read_text(encoding="utf-8"))
add(noise_file, "/certified_examples", noise["certified_examples"],
"noisy_counterexamples", "moment_certificate", "exact_rational_with_log_display")
add(noise_file, "/holder_divergence_examples", noise["holder_divergence_examples"],
"noisy_counterexamples", "holder_divergence", "exact_rational_with_log_display")
add(noise_file, "", [noise["compact_example"]], "noisy_counterexamples", "compact_example", "exact_rational")
rows[-1]["source_pointer"] = "/compact_example"
return rows
def main() -> None:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--output", type=Path, default=ROOT / "data/validation.jsonl")
args = parser.parse_args()
rows = load_rows()
args.output.parent.mkdir(parents=True, exist_ok=True)
args.output.write_text("".join(json.dumps(row, ensure_ascii=False) + "\n" for row in rows), encoding="utf-8")
print(json.dumps({"rows": len(rows), "categories": dict(sorted(Counter(r["category"] for r in rows).items()))}, indent=2))
if __name__ == "__main__":
main()
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