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| #!/usr/bin/env python3 | |
| """iLang v5.0 reference function f_v5: judgment vector -> mode (SPEC-v5.0 Part II §3). | |
| The perception layer (situation -> 11 numbers) is the model's. The decision layer | |
| (11 numbers -> mode) is this function: deterministic, total, frozen. Nothing in a | |
| skill may assign a mode directly; a condition only sets a dimension, and this decides. | |
| python3 f_v5.py int=0.9 cap=0.9 csq=0.6 rel=0.6 cer=0.8 aut=0.8 rev=0.4 evd=0.7 sov=0.6 ine=0.7 ext=0.9 | |
| python3 f_v5.py --selftest # the canonical cases in skills/judge/SKILL.md | |
| Dimensions (fixed order, 0.00-1.00, 1.00 = most favorable to acting alone): | |
| int intent, cap capability, csq consequence, rel relationship, cer certainty, | |
| aut authority, rev reversibility, evd evidence, sov sovereignty, ine inertia, ext externality. | |
| Python 3.8+, standard library. | |
| """ | |
| import sys | |
| DIMS = ["int", "cap", "csq", "rel", "cer", "aut", "rev", "evd", "sov", "ine", "ext"] | |
| WEIGHTS = {"int": 0.15, "cap": 0.10, "csq": 0.20, "rel": 0.05, "cer": 0.03, "rev": 0.15, "evd": 0.02, "sov": 0.15, "ine": 0.05, "ext": 0.10} | |
| MODES = {"M1": "EXEC_AUTO", "M2": "EXEC_AUDIT", "M3": "CONFIRM", "M4": "ADVISE", "M5": "ASK", "M6": "DEFER", "M7": "DECLINE_ALT", "M8": "STOP"} | |
| def f_v5(v): | |
| """Cascade, first hit wins: SURVIVAL > EPISTEMIC > AUTHORITY > SCORE > DEFAULT.""" | |
| try: | |
| v = {d: round(float(v[d]), 2) for d in DIMS} | |
| except (KeyError, TypeError, ValueError): | |
| return "M5", None, "STEP-0: vector incomplete" | |
| if v["sov"] < 0.15 or v["ext"] < 0.10 or (v["csq"] < 0.10 and v["rev"] < 0.20): | |
| return "M8", None, "STEP-1: survival boundary" | |
| if v["cer"] < 0.30 or v["evd"] < 0.25: | |
| return "M5", None, "STEP-2: epistemic gate" | |
| if v["aut"] < 0.30: | |
| return "M6", None, "STEP-3: authority gate" | |
| s = round(sum(WEIGHTS[d] * v[d] for d in WEIGHTS), 4) | |
| if s > 0.85: | |
| m = "M1" | |
| elif s > 0.70: | |
| m = "M2" | |
| elif s > 0.55: | |
| m = "M3" | |
| elif s > 0.40: | |
| m = "M4" | |
| elif s > 0.25: | |
| m = "M7" | |
| else: | |
| m = "M8" | |
| if v["aut"] < 0.55 and m in ("M1", "M2"): | |
| return "M3", s, "STEP-5: authority cap" | |
| return m, s, "STEP-4: score band" | |
| # Canonical AutoCode situations: how the perception layer sets the vector, and what must come out. | |
| CASES = [ | |
| ("reversible local edit (write code, scaffold, revertable commit)", | |
| dict(int=0.9, cap=0.9, csq=0.9, rel=0.6, cer=0.9, aut=0.8, rev=0.95, evd=0.8, sov=0.95, ine=0.7, ext=0.9), "M1"), | |
| ("spends the user's money (server, domain): sov<=0.60 and rev<=0.40 until they say yes", | |
| dict(int=0.9, cap=0.9, csq=0.6, rel=0.6, cer=0.8, aut=0.8, rev=0.4, evd=0.7, sov=0.6, ine=0.7, ext=0.9), "M3"), | |
| ("touches production or is hard to undo (deploy, migration, DNS): sov<=0.70 and rev<=0.45 until they say yes to this one", | |
| dict(int=0.9, cap=0.9, csq=0.5, rel=0.6, cer=0.8, aut=0.8, rev=0.45, evd=0.7, sov=0.7, ine=0.7, ext=0.9), "M3"), | |
| ("same deploy after the user said yes: sov back to 0.95, rev 0.50 -> runs with an audit line", | |
| dict(int=0.9, cap=0.9, csq=0.5, rel=0.6, cer=0.8, aut=0.8, rev=0.5, evd=0.7, sov=0.95, ine=0.7, ext=0.9), "M2"), | |
| ("you do not actually know what they want and guessing wrong is expensive: cer=0.29", | |
| dict(int=0.9, cap=0.9, csq=0.6, rel=0.6, cer=0.29, aut=0.8, rev=0.6, evd=0.7, sov=0.95, ine=0.7, ext=0.9), "M5"), | |
| ("deletes user data with no backup / irreversible publish: csq=0.09, rev=0.19", | |
| dict(int=0.9, cap=0.9, csq=0.09, rel=0.6, cer=0.8, aut=0.8, rev=0.19, evd=0.7, sov=0.95, ine=0.7, ext=0.9), "M8"), | |
| ("the user earlier said never do this: sov=0.14", | |
| dict(int=0.9, cap=0.9, csq=0.6, rel=0.6, cer=0.8, aut=0.8, rev=0.6, evd=0.7, sov=0.14, ine=0.7, ext=0.9), "M8"), | |
| ("force-push over other people's history: ext=0.09", | |
| dict(int=0.9, cap=0.9, csq=0.6, rel=0.6, cer=0.8, aut=0.8, rev=0.3, evd=0.7, sov=0.95, ine=0.7, ext=0.09), "M8"), | |
| ("acting in someone else's account or repo without their say: aut=0.29", | |
| dict(int=0.9, cap=0.9, csq=0.6, rel=0.5, cer=0.8, aut=0.29, rev=0.6, evd=0.7, sov=0.95, ine=0.7, ext=0.9), "M6"), | |
| ] | |
| def selftest(): | |
| bad = 0 | |
| for name, v, want in CASES: | |
| m, s, why = f_v5(v) | |
| ok = m == want | |
| bad += not ok | |
| print("%s %-4s %-10s S=%s %s (%s)" % ("ok " if ok else "FAIL", m, MODES[m], "-" if s is None else "%.4f" % s, name, why)) | |
| print("f_v5 selftest: %d/%d" % (len(CASES) - bad, len(CASES))) | |
| return 0 if not bad else 1 | |
| def main(argv): | |
| if not argv or argv == ["--selftest"]: | |
| return selftest() | |
| v = dict(a.split("=", 1) for a in argv if "=" in a) | |
| m, s, why = f_v5(v) | |
| print("%s %s%s %s" % (m, MODES[m], "" if s is None else " S=%.4f" % s, why)) | |
| return 0 | |
| if __name__ == "__main__": | |
| sys.exit(main(sys.argv[1:])) | |