SORILUN-RSI / research /src /audit.py
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"""Budget accounting, anytime paired evidence, and transactional checkpoints.
The algebraic verifier is exact. The statistical gate has an explicitly
conditional null; it does not turn timing observations into universal proofs.
"""
from __future__ import annotations
from dataclasses import dataclass
import json
import math
import os
from pathlib import Path
import tempfile
from synthesis import digest
@dataclass
class CreditAccount:
bootstrap: int
credit: int = 0
baseline_work: int = 0
service_work: int = 0
investment_work: int = 0
def __post_init__(self):
if self.bootstrap < 0:
raise ValueError('Negative bootstrap allowance')
self.credit = self.bootstrap
def service(self, baseline, actual):
if baseline < 0 or actual < 0:
raise ValueError('Negative work')
new = self.credit + baseline - actual
if new < 0:
raise RuntimeError('Insufficient credit for service')
self.credit = new
self.baseline_work += baseline
self.service_work += actual
self.check()
def invest(self, cost):
if cost < 0:
raise ValueError('Negative investment')
if cost > self.credit:
return False
self.credit -= cost
self.investment_work += cost
self.check()
return True
def check(self):
assert self.credit == (self.bootstrap+self.baseline_work-
self.service_work-self.investment_work)
assert self.credit >= 0
def snapshot(self):
return dict(self.__dict__)
class AnytimeGate:
"""A positive betting process for paired signs in [-1,1].
Under E[X_t | past] <= 0 and predictable 0 <= lambda_t <= 1,
product(1+lambda_t*X_t) is a nonnegative supermartingale.
The j-th proposal gets alpha/[j(j+1)], allowing indefinitely many births.
"""
def __init__(self, proposal, alpha=0.05, bet=0.5):
if proposal < 1 or not 0 < alpha < 1 or not 0 < bet < 1:
raise ValueError('Invalid audit configuration')
self.proposal = proposal
self.alpha = alpha
self.bet = bet
self.log_e = 0.0
self.trials = 0
self.threshold = math.log(proposal*(proposal+1)/alpha)
self.accepted = False
def update(self, x):
if not -1 <= x <= 1:
raise ValueError('Evidence must be bounded in [-1,1]')
self.log_e += math.log1p(self.bet*x)
self.trials += 1
self.accepted |= self.log_e >= self.threshold
return self.accepted
def snapshot(self):
return dict(self.__dict__)
def atomic_save(path, payload):
path = Path(path)
path.parent.mkdir(parents=True, exist_ok=True)
envelope = {'payload': payload, 'sha256': digest(payload)}
fd, temporary = tempfile.mkstemp(prefix=path.name+'.', dir=path.parent)
try:
with os.fdopen(fd, 'w') as f:
json.dump(envelope, f, sort_keys=True, indent=2)
f.flush()
os.fsync(f.fileno())
os.replace(temporary, path)
except BaseException:
try:
os.unlink(temporary)
except FileNotFoundError:
pass
raise
def read_checkpoint(path):
envelope = json.loads(Path(path).read_text())
payload = envelope['payload']
if envelope.get('sha256') != digest(payload):
raise ValueError('Checkpoint integrity failure')
return payload
class InvestmentReservation:
"""Debit a proved upper bound BEFORE work; refund only after settlement.
An exception conservatively leaves the reservation charged. The caller
must enforce or prove the upper bound; this is not a process-time limiter.
Original exploratory lineage files use retrospective settlement and all
their measured investments were affordable. This helper repairs the
controller contract for future bounded deployment.
"""
def __init__(self, account, upper_bound):
if type(upper_bound) is not int or upper_bound < 0:
raise ValueError('A nonnegative integer upper bound is required')
if not account.invest(upper_bound):
raise RuntimeError('Insufficient prepaid credit')
self.account=account;self.upper_bound=upper_bound;self.settled=False
def settle(self, actual):
if self.settled or type(actual) is not int or not 0<=actual<=self.upper_bound:
raise ValueError('Invalid reservation settlement')
refund=self.upper_bound-actual
self.account.credit+=refund;self.account.investment_work-=refund
self.account.check();self.settled=True