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photonic-computing
recursive-self-improvement
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blackwell-order
information-preservation
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b25706c | 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 | """Normalize the 1,247 saved channel checks; perform no new experiments."""
from pathlib import Path
import json
import math
ROOT = Path(__file__).resolve().parents[1]
EXPECTED = {"deficiency": 556, "purification": 375, "orbit_audit": 96, "catalogue": 220}
TOLERANCE = 1e-9
def build(root=ROOT):
rows=[]
keys_to_remove={"formula", "analytic_deficiency", "unrestricted_lp", "unrestricted_lp_deficiency",
"full_unrestricted_lp", "constructed_kernel_tv", "absolute_error"}
for family,expected in EXPECTED.items():
report_path=f"research/data/{family}.json"
report=json.loads((root/report_path).read_text(encoding="utf-8"))
records=report["records"]
assert len(records)==expected,(family,len(records),expected)
for index,record in enumerate(records):
analytic=float(record.get("formula",record.get("analytic_deficiency")))
lp=float(record.get("unrestricted_lp",record.get("unrestricted_lp_deficiency",
record.get("full_unrestricted_lp"))))
kernel=record.get("constructed_kernel_tv")
if kernel is not None:kernel=float(kernel)
error=abs(analytic-lp)
assert all(math.isfinite(x) for x in (analytic,lp,error))
assert error<=TOLERANCE,(family,index,error)
if kernel is not None:assert abs(analytic-kernel)<=TOLERANCE
rows.append({
"case_id":f"{family}:{index:04d}","family":family,
"category":str(record.get("category","arbitrary_posterior_orbit" if family=="orbit_audit"
else "repeated_evidence")),
"q":int(record["q"]),"analytic_deficiency":analytic,
"unrestricted_lp_deficiency":lp,"absolute_error":error,
"constructed_kernel_tv":kernel,"comparison_tolerance":TOLERANCE,
"passed":True,"source_report":report_path,"source_record_index":index,
"parameters_json":json.dumps({k:v for k,v in record.items() if k not in keys_to_remove},
sort_keys=True,separators=(",",":"),allow_nan=False)
})
assert len(rows)==1247 and len({r["case_id"] for r in rows})==1247
output=root/"verification/channel_comparisons.jsonl";output.parent.mkdir(exist_ok=True)
output.write_text("".join(json.dumps(row,separators=(",",":"),allow_nan=False)+"\n" for row in rows),
encoding="utf-8")
summary={"scientific_version":"3.0","packaging_version":"HF1","records":len(rows),
"family_counts":EXPECTED,"comparison_tolerance":TOLERANCE,
"maximum_formula_lp_error":max(r["absolute_error"] for r in rows),
"all_exported_rows_pass":True,"new_experiments_performed":False,
"scope":"Saved synthetic mathematical verification records; not training samples or hardware data."}
(root/"verification/summary.json").write_text(json.dumps(summary,indent=2)+"\n",encoding="utf-8")
return summary
if __name__=="__main__":print(json.dumps(build(),indent=2))
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