tegwick
04e9573b5a
Alice/Bob/Carol runs end to end, deterministically, replayable from seed. 16 tests pass, no third-party dependencies. - src/testdriver: intent, provenance, world, actions, drivers, observers, oracles, evidence, energy, scenario, runner - lab/minimal.py: the SUT, exposing the independent observation channel required by D-07 - evidence is stratified S1/S2/S3; Runner refuses to attribute S2/S3 to an actor; claims are frozen and provenance-checked at construction - missing evidence yields INCONCLUSIVE, which outranks PASS in the run verdict - EnergyEvents captured, no scoring (H-005 dormant) The observation channel records both stored state and an out-of-band enforcement probe; their disagreement is an invariant and is what detects an authorization defect that leaves the audit trail intact. A seeded RevokeIsCosmetic lab fails the run via both the claim and that invariant. Also closes TD-WP-0001-T02 (stack and commands now exist). Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Assistant: claude-code Assistant-Model: opus Assistant-Process: 1629012@bnt-lap001 Assistant-Session: 78d4fb13-8a1e-474b-87a3-9b9261c49a39
47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
"""A scenario binds a use case to concrete actors, a world and a schedule."""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Sequence
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from .actions import SemanticAction
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from .intent import UseCase
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from .observers import Watch
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@dataclass(frozen=True, slots=True)
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class Step:
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"""One scheduled semantic action, attributed to one actor."""
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id: str
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actor_id: str
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action: SemanticAction
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expect_refusal: bool = False
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@dataclass(frozen=True, slots=True)
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class Scenario:
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"""UseCase + Actors + World + Schedule + Surfaces + Variant."""
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id: str
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use_case: UseCase
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steps: tuple[Step, ...]
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watches: tuple[Watch, ...] = field(default_factory=tuple)
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variant: str = "baseline"
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@dataclass(slots=True)
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class VerificationAsset:
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"""A test as a durable thing with identity, maturity and lineage.
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Maturity is the T0..T5 continuum. The kernel produces T5 assets: fully
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deterministic, no model involvement. Agentic assets (T1) arrive in T07, and
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crystallization walks an asset from T1 toward T5 in T09.
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"""
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id: str
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scenario: Scenario
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maturity: str = "T5"
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parent_id: str | None = None
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adaptation_history: list[dict] = field(default_factory=list)
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