src/explicit_learning/c2/state.py

"""C2 dual-compile state machine + outcome (``docs/02`` §7).

The C2 compiler runs two *independent* models (a proposer and a verifier) over
the same candidate and reconciles their outputs through a deterministic gate.
The gate has five terminal states, evaluated in priority order — the first
observed failure wins:

  * ``ALL_PASS`` — both models compiled a program; the two programs share a
    canonical hash (§7.2), agree on the FULL-world answer, and agree on every
    mutation in the §7.3 equivalence suite.
  * ``PARSE_FAIL`` — at least one model's response did not yield a valid program
    after the single allowed repair. That model's record is
    ``compile_status="invalid_response"``.
  * ``CANONICAL_HASH_DIFF`` — both programs parsed, but their canonical program
    hashes differ (``REJECT_PROGRAM_COMPILE_DISAGREE``, §7.2).
  * ``FULL_ANSWER_DIFF`` — the canonical hashes match yet the executor computes
    different ``(status, answer)`` on the untransformed world (a canonicalizer
    invariant guard).
  * ``MUTATION_DIFF`` — hashes and the full answer agree, but some §7.3 mutation
    makes the two programs diverge (a canonicalizer invariant guard).

``FULL_ANSWER_DIFF`` / ``MUTATION_DIFF`` are defense-in-depth: with a correct
canonicalizer, matching hashes imply identical programs, so the suite is a guard
that *validates* the canonicalizer's equivalence claim rather than an independent
reject path. The mutation suite still runs and is recorded whenever the earlier
checks pass, per §7.3 ("mutation suite is essential").

A C2-compiled program is **never** used in primary evaluation (§7); the records
produced here feed training-time augmentation only.
"""

from __future__ import annotations

from dataclasses import dataclass, field
from typing import Any, Literal

C2State = Literal[
    "ALL_PASS",
    "PARSE_FAIL",
    "CANONICAL_HASH_DIFF",
    "FULL_ANSWER_DIFF",
    "MUTATION_DIFF",
]

# Priority: a higher index short-circuits a lower one when both are observed.
_STATE_PRIORITY: dict[C2State, int] = {
    "PARSE_FAIL": 0,
    "CANONICAL_HASH_DIFF": 1,
    "FULL_ANSWER_DIFF": 2,
    "MUTATION_DIFF": 3,
    "ALL_PASS": 4,
}


@dataclass(frozen=True)
class MutationEvidence:
    """One row of the §7.3 mutation equivalence suite.

    ``agree`` is ``True`` iff the proposer and verifier programs produced the
    same ``(status, answer_canonical)`` on ``mutation.description``.
    """

    leaf: str
    kind: str  # "SUBSTITUTE" | "REDACT"
    description: str
    proposer_status: str
    proposer_answer: str | int | bool | None
    verifier_status: str
    verifier_answer: str | int | bool | None
    agree: bool


@dataclass(frozen=True)
class C2Outcome:
    """The reconciled result of one C2 dual-compile.

    ``proposer_record`` / ``verifier_record`` are ``compiled_program``-schema
    dicts (one per model). ``mutation_evidence`` is empty unless the suite ran
    (parse + canonical hash both passed). ``state`` is the gate verdict.
    """

    state: C2State
    proposer_record: dict[str, Any]
    verifier_record: dict[str, Any]
    canonical_hash_proposer: str | None
    canonical_hash_verifier: str | None
    full_answer_proposer: tuple[str, str | int | bool | None] | None
    full_answer_verifier: tuple[str, str | int | bool | None] | None
    mutation_evidence: tuple[MutationEvidence, ...] = field(default_factory=tuple)
    reason: str = ""

    @property
    def accepted(self) -> bool:
        """``True`` iff the dual-compile passed every gate (§7 acceptance)."""
        return self.state == "ALL_PASS"


def worst(*states: C2State) -> C2State:
    """Return the highest-priority (most-severe) observed state.

    An empty input is ``ALL_PASS`` (nothing failed). Used when several checks run
    unconditionally and the most-severe failure must be reported.
    """
    if not states:
        return "ALL_PASS"
    return min(states, key=lambda s: _STATE_PRIORITY[s])


__all__ = ["C2Outcome", "C2State", "MutationEvidence", "worst"]