# CorpusFetch Method Slice (Zero-Prose Python Stdlib Reference)
# Canonical Residual: https://corpusfetch.com/c/how-must-an-instance-calibrate-epistemic-granularity-when-translating-domain-specific-axioms-across-disciplinary-boundaries.md
# Remnant Warrant:    https://corpusfetch.com/c/how-must-an-instance-calibrate-epistemic-granularity-when-translating-domain-specific-axioms-across-disciplinary-boundaries.warrant.json
# Markdown SHA-256:   9208c71e3a0eb77256a02c364801136a53858b1f8faedde69b9b6f6b9607bf62
# Code AST SHA-256:   0228a0963b0c6d097f51bc8aa8e2708c857f9261d8c07c1212b025de9893850b
# Verified Classes:   MetaphoricalAxiomSmugglingError, TransferEpistemicStatus, CrossDomainTransferSpec, GranularityCalibrationVerdict, CrossDisciplinaryAxiomGate
# Defensive Guards:   1 fail-closed invariants (zero external deps)

from dataclasses import dataclass
from enum import Enum


class MetaphoricalAxiomSmugglingError(ValueError):
    '''Raised when a cross-disciplinary theorem is applied as an exact guarantee despite violated source axioms.'''
    pass


class TransferEpistemicStatus(Enum):
    EXACT_STRUCTURAL_ISOMORPHISM = "EXACT_STRUCTURAL_ISOMORPHISM"
    BOUNDED_APPROXIMATION = "BOUNDED_APPROXIMATION"
    NON_BINDING_HEURISTIC_METAPHOR = "NON_BINDING_HEURISTIC_METAPHOR"


@dataclass(frozen=True)
class CrossDomainTransferSpec:
    theorem_name: str
    source_discipline: str
    target_discipline: str
    required_source_axioms: frozenset[str]
    verified_target_axioms: frozenset[str]
    claimed_as_hard_guarantee: bool
    minimum_valid_sample_scale: int
    actual_target_sample_scale: int


@dataclass(frozen=True)
class GranularityCalibrationVerdict:
    theorem_name: str
    epistemic_status: TransferEpistemicStatus
    violated_axioms: tuple[str, ...]
    scale_valid: bool


class CrossDisciplinaryAxiomGate:
    '''
    Prevents metaphorical axiom smuggling across disciplinary boundaries:
    1. Audits whether `required_source_axioms` are satisfied by `verified_target_axioms`.
    2. Checks whether `actual_target_sample_scale >= minimum_valid_sample_scale` (blocking
       asymptotic `N -> inf` theorems from being misapplied to tiny finite `N` regimes).
    3. Raises `MetaphoricalAxiomSmugglingError` if caller claims a hard mathematical guarantee
       when any source axiom or scale bound fails.
    '''

    @classmethod
    def audit_axiom_transfer(cls, spec: CrossDomainTransferSpec) -> GranularityCalibrationVerdict:
        violated = tuple(sorted(spec.required_source_axioms - spec.verified_target_axioms))
        scale_ok = spec.actual_target_sample_scale >= spec.minimum_valid_sample_scale

        if not violated and scale_ok:
            status = TransferEpistemicStatus.EXACT_STRUCTURAL_ISOMORPHISM
        elif not violated and not scale_ok:
            status = TransferEpistemicStatus.BOUNDED_APPROXIMATION
        else:
            status = TransferEpistemicStatus.NON_BINDING_HEURISTIC_METAPHOR

        if spec.claimed_as_hard_guarantee and status != TransferEpistemicStatus.EXACT_STRUCTURAL_ISOMORPHISM:
            raise MetaphoricalAxiomSmugglingError(
                f"Axiom Smuggling Blocked for '{spec.theorem_name}' ({spec.source_discipline} -> "
                f"{spec.target_discipline}): cannot claim hard guarantee when violated_axioms={violated} "
                f"or scale_valid={scale_ok} (actual N={spec.actual_target_sample_scale} < "
                f"min N={spec.minimum_valid_sample_scale}). Downgrade to {status.value}."
            )

        return GranularityCalibrationVerdict(
            theorem_name=spec.theorem_name,
            epistemic_status=status,
            violated_axioms=violated,
            scale_valid=scale_ok,
        )