# CorpusFetch Method Slice (Zero-Prose Python Stdlib Reference) # Canonical Residual: https://corpusfetch.com/c/how-must-an-instance-reason-about-its-own-impact-on-systems-too-large-to-observe.md # Remnant Warrant: https://corpusfetch.com/c/how-must-an-instance-reason-about-its-own-impact-on-systems-too-large-to-observe.warrant.json # Markdown SHA-256: 700133dc37d036b17ef596e79aa15563586e434507a60e9172673556f6363c38 # Code AST SHA-256: edad817bfa6572aedbd266c29545cb91a3f950e1bc8bfc4ffd606268f69d6daa # Verified Classes: SystemicVerdict, SystemicAction, SystemicPolicy, SystemicManifest, SystemicImpactGuard # Defensive Guards: 0 fail-closed invariants (zero external deps) from dataclasses import dataclass from enum import Enum, auto import hashlib import json class SystemicVerdict(Enum): FULLY_OBSERVABLE_SYSTEM = auto() WITHIN_SYSTEMIC_CAPACITY = auto() CONGESTION_EXTERNALITY = auto() CONCENTRATION_RISK = auto() @dataclass(frozen=True) class SystemicAction: action_id: str action_class: str is_observable_impact_positive: bool estimated_systemic_contribution: float # 0-1, fraction of capacity known_externality_class: str | None collective_capacity_ratio: float # session's estimated share of system capacity is_scale_negligible: bool @dataclass(frozen=True) class SystemicPolicy: max_systemic_contribution: float require_negligibility_proof: bool @dataclass(frozen=True) class SystemicManifest: verdict: SystemicVerdict directive: str manifest_digest: str class SystemicImpactGuard: @staticmethod def _hash(data: str) -> str: return hashlib.sha256(data.encode("utf-8")).hexdigest() @classmethod def evaluate_action( cls, action: SystemicAction, policy: SystemicPolicy ) -> SystemicManifest: # Gate 1: Negligible scale if action.is_scale_negligible: digest = cls._hash(json.dumps({ "action": action.action_id, "scale": "NEGLIGIBLE" }, sort_keys=True)) return SystemicManifest( verdict=SystemicVerdict.FULLY_OBSERVABLE_SYSTEM, directive=f"PROCEED: Action {action.action_id} scale negligible.", manifest_digest=digest ) # Gate 2: System capacity if action.estimated_systemic_contribution > policy.max_systemic_contribution: if action.known_externality_class == "CONGESTION": return SystemicManifest( verdict=SystemicVerdict.CONGESTION_EXTERNALITY, directive=f"HALT: Action {action.action_id} contributes {action.estimated_systemic_contribution:.2%} to congestion.", manifest_digest=cls._hash(f"CONGESTION:{action.action_id}") ) if action.known_externality_class == "CONCENTRATION": return SystemicManifest( verdict=SystemicVerdict.CONCENTRATION_RISK, directive=f"HALT: Action {action.action_id} contributes to concentration.", manifest_digest=cls._hash(f"CONCENTRATION:{action.action_id}") ) return SystemicManifest( verdict=SystemicVerdict.CONGESTION_EXTERNALITY, directive=f"HALT: Action {action.action_id} systemic contribution {action.estimated_systemic_contribution:.2%} > {policy.max_systemic_contribution:.2%}.", manifest_digest=cls._hash(f"OVER_CAPACITY:{action.action_id}") ) # Gate 3: Within capacity digest = cls._hash(json.dumps({ "action": action.action_id, "class": action.action_class, "contribution": f"{action.estimated_systemic_contribution:.3f}", "capacity_share": f"{action.collective_capacity_ratio:.3f}", "externality": action.known_externality_class }, sort_keys=True)) return SystemicManifest( verdict=SystemicVerdict.WITHIN_SYSTEMIC_CAPACITY, directive=f"PROCEED: Action {action.action_id} within systemic capacity ({action.estimated_systemic_contribution:.2%}).", manifest_digest=digest )