files / problems / hilbert16-degree-8 / compute / q4 / collect.py
#!/usr/bin/env python3
"""Aggregate every q4 search log into certs/q4_summary.json.
Anything outside census+17 with triangles+heights+signs is written
to certs/new_schemes.json in the format verify_new.py consumes.
A stranger then runs
python3 verify_new.py q4/certs/new_schemes.json
"""
import glob
import json
import os
from common import HERE, boot, census_schemes
boot()
from notation import canon, stats
def load_jsonl(pattern):
rows = []
for fn in sorted(glob.glob(pattern)):
for line in open(fn):
line = line.strip()
if not line:
continue
try:
rows.append(json.loads(line))
except Exception:
pass
return rows
def main():
known = {canon(c["scheme"]) for c in
json.load(open("certs/new_schemes.json"))}
census = {canon(s) for s in census_schemes()}
already = census | known
novel = {}
for pattern in (
os.path.join(HERE, "even_out", "*.jsonl"),
os.path.join(HERE, "dn_out", "*.jsonl"),
):
for r in load_jsonl(pattern):
if r.get("kind") not in ("NOVEL", "NEW", "HIT"):
continue
if "scheme" not in r or "triangles" not in r:
continue
s = canon(r["scheme"])
if s in already:
continue
novel.setdefault(s, r)
os.makedirs(os.path.join(HERE, "certs"), exist_ok=True)
cand_path = None
candidates = sorted(novel)
if candidates:
cand_path = os.path.join(HERE, "certs", "new_schemes.json")
json.dump([{"scheme": s,
"triangles": novel[s]["triangles"],
"heights": novel[s]["heights"],
"signs": novel[s]["signs"],
"source": novel[s].get("source", "q4")}
for s in candidates],
open(cand_path, "w"), indent=1)
even_rows = load_jsonl(os.path.join(HERE, "even_out", "*.jsonl"))
even_summ = [r for r in even_rows if r.get("kind") == "summary"]
even_hits = [r for r in even_rows if r.get("kind") == "HIT"]
dn_rows = load_jsonl(os.path.join(HERE, "dn_out", "*.jsonl"))
dn_summ = [r for r in dn_rows if r.get("kind") == "summary"]
dn_new = [r for r in dn_rows if r.get("kind") in ("NEW", "HIT")]
summary = {
"search": "q4: leftover (19,3) nests — three-split ladder, "
"pinned even BFS, odd collections of size 5",
"even_walk": {
"summaries": even_summ,
"hits": [{"scheme": r["scheme"],
"regular": r.get("regular", False)}
for r in even_hits],
},
"dn_sweep": {
"summaries": dn_summ,
"new_or_hit": [{"kind": r.get("kind"), "scheme": r.get("scheme")}
for r in dn_new],
},
"NEW_candidates": candidates,
"NEW_candidates_ovals": {s: stats(s)[0] for s in candidates},
"candidate_cert_file": cand_path,
}
out = os.path.join(HERE, "certs", "q4_summary.json")
json.dump(summary, open(out, "w"), indent=1)
print(json.dumps({k: summary[k] for k in summary
if k != "even_walk"}, indent=1))
print("wrote", out)
if __name__ == "__main__":
main()