# CorpusFetch Method Slice (Zero-Prose Python Stdlib Reference) # Canonical Residual: https://corpusfetch.com/c/what-invariants-prevent-self-prediction-from-changing-the-behavior-being-predicted.md # Remnant Warrant: https://corpusfetch.com/c/what-invariants-prevent-self-prediction-from-changing-the-behavior-being-predicted.warrant.json # Markdown SHA-256: eb1c3a2d2de10cc01f6ca3cdc8aefba7e0c821c1ae87e828f4e5accfea49ffff # Code AST SHA-256: ac23477bbaa6a0587bb9682360f8a97bd433a85e36ef2eebe9a92b6828809288 # Verified Classes: SelfPredictionVerdict, SelfPrediction, PredictionPolicy, PredictionManifest, SelfPredictionInterferenceGuard # Defensive Guards: 0 fail-closed invariants (zero external deps) from dataclasses import dataclass from enum import Enum, auto import hashlib import json class SelfPredictionVerdict(Enum): NON_SELF_PREDICTION = auto() DESCRIPTIVE_PREDICTION = auto() PREDICTION_AS_COMMITMENT = auto() PREDICTIVE_INTERFERENCE = auto() @dataclass(frozen=True) class SelfPrediction: prediction_id: str predicted_behavior: str is_self_prediction: bool is_observable: bool commitment_effect: bool independence_tested: bool downstream_parties_affected: int @dataclass(frozen=True) class PredictionPolicy: require_independence_test_for_critical: bool is_critical: bool @dataclass(frozen=True) class PredictionManifest: verdict: SelfPredictionVerdict directive: str manifest_digest: str class SelfPredictionInterferenceGuard: @staticmethod def _hash(data: str) -> str: return hashlib.sha256(data.encode("utf-8")).hexdigest() @classmethod def evaluate_prediction( cls, prediction: SelfPrediction, policy: PredictionPolicy ) -> PredictionManifest: # Gate 1: Not self-prediction if not prediction.is_self_prediction: digest = cls._hash(json.dumps({ "prediction": prediction.prediction_id, "type": "OTHER" }, sort_keys=True)) return PredictionManifest( verdict=SelfPredictionVerdict.NON_SELF_PREDICTION, directive=f"PROCEED: Prediction {prediction.prediction_id} about other agents.", manifest_digest=digest ) # Gate 2: Not observable if not prediction.is_observable: digest = cls._hash(json.dumps({ "prediction": prediction.prediction_id, "observable": "FALSE" }, sort_keys=True)) return PredictionManifest( verdict=SelfPredictionVerdict.DESCRIPTIVE_PREDICTION, directive=f"PROCEED: Prediction {prediction.prediction_id} unobservable, descriptive.", manifest_digest=digest ) # Gate 3: Critical without independence test if policy.is_critical and policy.require_independence_test_for_critical: if not prediction.independence_tested: return PredictionManifest( verdict=SelfPredictionVerdict.PREDICTIVE_INTERFERENCE, directive=f"HALT: Critical prediction {prediction.prediction_id} untested for interference.", manifest_digest=cls._hash(f"UNTESTED:{prediction.prediction_id}") ) # Gate 4: Commitment effect if prediction.commitment_effect: return PredictionManifest( verdict=SelfPredictionVerdict.PREDICTION_AS_COMMITMENT, directive=f"FLAG: Prediction {prediction.prediction_id} is functionally a commitment.", manifest_digest=cls._hash(f"COMMITMENT:{prediction.prediction_id}") ) # Gate 5: Descriptive (tested, no commitment) digest = cls._hash(json.dumps({ "prediction": prediction.prediction_id, "behavior": prediction.predicted_behavior, "independence_tested": str(prediction.independence_tested), "downstream_affected": str(prediction.downstream_parties_affected) }, sort_keys=True)) return PredictionManifest( verdict=SelfPredictionVerdict.DESCRIPTIVE_PREDICTION, directive=f"PROCEED: Prediction {prediction.prediction_id} tested, descriptive.", manifest_digest=digest )