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1c6f7c7 | 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 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 | #!/usr/bin/env python3
"""
Certified numeric gate for Protofluid Language Translator.
Rule (archive certified-agent culture):
- Numeric claims presented as FSOT / physical law must come from pinned
fsot_compute (D1D38A) or declared archive linguistics anchors.
- Free-form "vibes math" is refused or marked uncertified.
Does not rewrite law — only certifies or refuses display of numbers.
"""
from __future__ import annotations
import re
from dataclasses import asdict, dataclass, field
from typing import Any, Dict, List, Optional, Tuple
# Patterns that look like someone asserting a law-level number
_NUMERIC_CLAIM = re.compile(
r"(?i)(?:\bS\s*=\s*([+-]?\d+\.?\d*(?:[eE][+-]?\d+)?))"
r"|(?:\b(?:zipf|entropy|heaps)\b[^\d]{0,24}(\d+\.?\d*))"
r"|(?:\b(\d+\.?\d*)\s*(?:bits?(?:/letter|/s)?|dimensionless)?\b)"
)
_FSOT_S_TALK = re.compile(
r"(?i)\b(fsot|scalar|coherence|S\s*=|T1|T2|T3|D_eff|domain scalar)\b"
)
_LING_MEASURE = re.compile(
r"(?i)\b(zipf|entropy|heaps|shannon|bits?\s*/\s*letter|type[- ]token)\b"
)
@dataclass
class CertResult:
ok: bool
certified: List[Dict[str, Any]] = field(default_factory=list)
refused: List[str] = field(default_factory=list)
notes: List[str] = field(default_factory=list)
engine: str = "pflt_certified_math_v0"
def to_dict(self) -> Dict[str, Any]:
return asdict(self)
def _archive_ling_numbers() -> Dict[str, Dict[str, Any]]:
"""Pull measured/computed linguistics anchors for certification."""
out: Dict[str, Dict[str, Any]] = {}
try:
from fsot_archive_memory import get_archive_memory
mem = get_archive_memory()
for f in mem.facts:
if f.get("source") not in {"linguistics_derivations", "linguistic_targets"}:
continue
title = (f.get("title") or "").lower()
num = f.get("numeric") or {}
if "zipf" in title:
out["zipf"] = {
"value": num.get("measured", num.get("computed")),
"title": f.get("title"),
"source": f.get("source"),
"claim": f.get("claim_text"),
}
if "letter_entropy" in title or "entropy" in title and "letter" in title:
out["letter_entropy"] = {
"value": num.get("measured", num.get("computed")),
"title": f.get("title"),
"source": f.get("source"),
"claim": f.get("claim_text"),
}
if "heaps" in title:
out["heaps"] = {
"value": num.get("measured", num.get("computed")),
"title": f.get("title"),
"source": f.get("source"),
"claim": f.get("claim_text"),
}
except Exception:
pass
return out
def certify_turn(
text: str,
*,
law: Optional[Dict[str, Any]] = None,
domain: str = "linguistic",
archive_facts: Optional[List[Dict[str, Any]]] = None,
) -> CertResult:
"""
Certify numeric content for this conversational turn.
"""
law = law or {}
text = text or ""
certified: List[Dict[str, Any]] = []
refused: List[str] = []
notes: List[str] = []
wants_s = bool(_FSOT_S_TALK.search(text))
wants_ling = bool(_LING_MEASURE.search(text))
# Always certify the turn's law scalar when authority_ok
if law.get("authority_ok"):
certified.append(
{
"kind": "fsot_law_scalar",
"domain": domain,
"S": law.get("S"),
"D_eff": law.get("D_eff"),
"authority": law.get("authority"),
"formula": "S = K*(T1+T2+T3)",
"pin": "D1D38A",
}
)
elif wants_s:
refused.append(
"FSOT scalar requested but authority_ok=false — refuse uncertified S"
)
notes.append("Re-run with archive fsot_compute pin (D1D38A) for certified S.")
# Linguistics measures from archive only
if wants_ling:
anchors = _archive_ling_numbers()
if "zipf" in text.lower() and "zipf" in anchors:
certified.append({"kind": "linguistic_anchor", **anchors["zipf"]})
elif "zipf" in text.lower():
refused.append("Zipf number not found in archive linguistics anchors")
if "entropy" in text.lower() and "letter_entropy" in anchors:
certified.append({"kind": "linguistic_anchor", **anchors["letter_entropy"]})
if "heaps" in text.lower() and "heaps" in anchors:
certified.append({"kind": "linguistic_anchor", **anchors["heaps"]})
# Explicit S= user assertions → recompute and compare
for m in re.finditer(r"(?i)\bS\s*=\s*([+-]?\d+\.?\d*)", text):
claimed = float(m.group(1))
true_s = float(law.get("S") or 0)
if law.get("authority_ok"):
if abs(claimed - true_s) < 1e-3:
certified.append(
{
"kind": "user_S_match",
"claimed": claimed,
"authority_S": true_s,
}
)
else:
refused.append(
f"User claimed S={claimed} but authority S={true_s:+.6f} — reject free number"
)
certified.append(
{
"kind": "authority_S_override",
"claimed": claimed,
"authority_S": true_s,
"note": "law wins",
}
)
else:
refused.append(f"Uncertified S={claimed} (no authority pin)")
# Free floating "law constants" without archive context
if re.search(r"(?i)\b(?:exactly|must be|law says)\s+\d+\.?\d*", text) and not (
wants_ling or wants_s or law.get("authority_ok")
):
refused.append("Imperative numeric law claim without certified source")
ok = len(refused) == 0 or len(certified) > 0
if certified and not refused:
notes.append("All numeric display paths certified under FSOT pin / archive anchors.")
elif refused and certified:
notes.append("Mixed: authority values certified; free claims refused.")
elif refused:
notes.append("Numeric claims refused — no vibes math as law.")
else:
notes.append("No numeric law claims detected.")
return CertResult(ok=ok, certified=certified, refused=refused, notes=notes)
def format_cert_lines(cert: CertResult) -> List[str]:
if not cert.certified and not cert.refused:
return []
lines = ["Certified math gate:"]
for c in cert.certified[:5]:
kind = c.get("kind")
if kind == "fsot_law_scalar":
lines.append(
f" · OK law S={c.get('S'):+.6f} domain={c.get('domain')} pin={c.get('pin')}"
)
elif kind == "linguistic_anchor":
lines.append(
f" · OK {c.get('title')}: {c.get('value')} [{c.get('source')}]"
)
elif kind == "authority_S_override":
lines.append(
f" · OVERRIDE claimed S={c.get('claimed')} → authority S={c.get('authority_S'):+.6f}"
)
else:
lines.append(f" · OK {kind}: { {k: v for k, v in c.items() if k != 'claim'} }")
for r in cert.refused[:4]:
lines.append(f" · REFUSE: {r}")
return lines
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