"""ADR-0178 GB-3b.1 — single-referent accumulation chaining. The first cross-clause *comprehension* reading: one actor's quantity changes over successive clauses (``Sam has 14 apples. He buys 9 more.`` -> ``14 + 9``). It is the safe specialisation of the cross-clause sum that GB-3a's referent guard correctly refuses wholesale (the ``Alice has 6 … Tom has 2 …`` hazard): we chain across clauses **only** when (a) the later clause stays on the **same referent** and (b) it carries a **licensed change cue** whose polarity is unambiguous. Otherwise we refuse — the guard is generalised, never weakened. Reading: 1. **Anchor** — clause 1 must establish exactly one quantity ``(actor, N, unit)``. 2. **Change steps** — each later quantity-bearing clause applies ``+ M`` (gain) or ``- M`` (loss) to the running total, where ``M`` is the clause's single grounded quantity, taken **in the anchor's unit** (``9 more`` = 9 more *apples*; the unit is inherited from the running total, which is what accumulation means). 3. **Gate** — the constructed chain runs through the unchanged self-verification gate (grounding ∧ unit ∧ completeness ∧ uniqueness). The gate keeps wrong=0; this only proposes a structurally-licensed candidate. ADR-0184 S1 extracts the reusable referent and change-cue helpers into ``generate.derivation.state``. This module remains the public accumulation composer surface; behavior is intentionally unchanged. Sealed (no ``chat/`` import); deterministic; refuse-preferring. """ from __future__ import annotations import re from typing import Final from generate.derivation.clauses import segment_clauses from generate.derivation.extract import extract_quantities from generate.derivation.model import GroundedDerivation, Quantity, Step from generate.derivation.state.bind import ( continues_anchor_referent, leading_subject_token, ) from generate.derivation.state.change import ( classify_change_polarity, select_change_cue, ) from generate.derivation.verify import Resolution, select_self_verified def _build_accumulation( problem_text: str, *, drop_isolated_foreign: bool ) -> GroundedDerivation | None: """Construct the single-referent accumulation chain (ungated). ``drop_isolated_foreign`` (ADR-0182): when a change clause carries more than one quantity, drop those with a **non-empty unit foreign to the anchor's unit** (a candidate distractor — ``studies for 3 hours`` among ``pencils``) and proceed if exactly one same-unit/unitless change remains. With the flag off this is the strict GB-3b.1 reading (a multi-quantity change clause refuses), so :func:`compose_accumulation` is byte-identical to its pre-ADR-0182 behavior. The distractor-skip reading is **never committed alone** — it only ever enters the pool to force a disagreement refusal (see :mod:`generate.derivation.pool`). """ clauses = segment_clauses(problem_text) quantity_clauses = [c for c in clauses if extract_quantities(c)] if len(quantity_clauses) < 2: return None anchor_clause, *change_clauses = quantity_clauses anchor_quantities = extract_quantities(anchor_clause) if len(anchor_quantities) != 1: return None # the anchor must establish exactly one quantity (GB-3b.1 scope) start = anchor_quantities[0] anchor_subject = leading_subject_token(anchor_clause) steps: list[Step] = [] for clause in change_clauses: if not continues_anchor_referent(clause, anchor_subject): return None # new named actor -> referent hazard -> refuse change_quantities = list(extract_quantities(clause)) if drop_isolated_foreign and len(change_quantities) > 1: change_quantities = [ q for q in change_quantities if not (q.unit and q.unit != start.unit) ] if len(change_quantities) != 1: return None # one change per clause (multi-change is GB-3b.2) polarity = classify_change_polarity(clause) if polarity is None: return None # no unambiguous licensed change cue -> refuse change = change_quantities[0] # The change is in the running total's dimension ("9 more" = 9 more apples). operand = Quantity(value=change.value, unit=start.unit, source_token=change.source_token) op = "add" if polarity > 0 else "subtract" steps.append(Step(op=op, operand=operand, cue=select_change_cue(clause, polarity))) if not steps: return None return GroundedDerivation(start=start, steps=tuple(steps)) # ADR-0182 anchor-skip: sub-clause split on conjunctions. A single sentence can pack # a state and its change ("Tom has 8 tickets and buys 4 more tickets") — the # sentence-level segmenter (used everywhere; not changed) keeps them together. This # finer split is *local* to the ungated candidate generator, so it cannot move # GB-1/GB-2/serving/practice (which never call it). Lexeme-level (ADR-0165): it names # coordinating conjunctions, it does not parse grammar. _CONJUNCTION_SPLIT: Final[re.Pattern[str]] = re.compile(r",?\s+(?:and then|and|then)\s+") def _sub_clauses(problem_text: str) -> list[str]: """Sentence clauses, each further split on coordinating conjunctions.""" parts: list[str] = [] for clause in segment_clauses(problem_text): parts.extend(p.strip() for p in _CONJUNCTION_SPLIT.split(clause) if p.strip()) return parts def _build_accumulation_anchor_skip(problem_text: str) -> GroundedDerivation | None: """ADR-0182 — accumulation over sub-clauses, skipping a leading all-foreign block. Reads ``A train travels 60 mph for 2 hours. Tom has 8 tickets and buys 4 more tickets.`` by skipping the (anchor-position) train block — its quantities cannot seed an anchor (≠1 quantity) — and anchoring on the first single-quantity sub-clause (``Tom has 8 tickets``), then chaining its conjunction-mate change (``buys 4 more`` → +4). The skipped block's quantities go unused; the pool's isolated-foreign exemption then classifies the reading ``exempt`` (commit- ineligible), so it can only force a disagreement refusal, never commit. Ungated. """ sub_clauses = [(s, extract_quantities(s)) for s in _sub_clauses(problem_text)] quantity_subs = [(s, qs) for s, qs in sub_clauses if qs] if len(quantity_subs) < 2: return None # Anchor = first single-quantity sub-clause; leading non-anchorable (≠1 # quantity) sub-clauses are skipped (candidate distractor blocks). anchor_idx = next((i for i, (_, qs) in enumerate(quantity_subs) if len(qs) == 1), None) if anchor_idx is None: return None anchor_sub, anchor_qs = quantity_subs[anchor_idx] start = anchor_qs[0] anchor_subject = leading_subject_token(anchor_sub) steps: list[Step] = [] for sub, qs in quantity_subs[anchor_idx + 1:]: if not continues_anchor_referent(sub, anchor_subject): return None # new named actor -> referent hazard -> refuse if len(qs) != 1: return None # one change per sub-clause (multi-change is GB-3b.2) polarity = classify_change_polarity(sub) if polarity is None: return None # no unambiguous licensed change cue -> refuse change = qs[0] operand = Quantity(value=change.value, unit=start.unit, source_token=change.source_token) op = "add" if polarity > 0 else "subtract" steps.append(Step(op=op, operand=operand, cue=select_change_cue(sub, polarity))) if not steps: return None return GroundedDerivation(start=start, steps=tuple(steps)) def compose_accumulation(problem_text: str) -> Resolution | None: """GB-3b.1 composer — single-referent gain/loss accumulation. Refuse-preferring. The strict (commit) reading: it gates the no-distractor-skip derivation through the unchanged self-verification gate. Behavior is byte-identical to pre-ADR-0182. """ derivation = _build_accumulation(problem_text, drop_isolated_foreign=False) if derivation is None: return None return select_self_verified([derivation], problem_text, target_units=()) def accumulation_candidates(problem_text: str) -> tuple[GroundedDerivation, ...]: """ADR-0182 — the ungated accumulation readings for cross-composer pooling. Three readings: the strict GB-3b.1 reading, the distractor-skip reading (drops an isolated-foreign quantity in a multi-quantity change clause — 0014), and the anchor-skip reading (skips a leading all-foreign block + reads a conjunction-mate intra-sentence change — 0016). Ungated: the pool classifies each (``complete`` commits, ``exempt`` refuses-only) and the disagreement rule does the wrong=0 work. Deterministic; de-dup is the pool's job. """ candidates: list[GroundedDerivation] = [] for drop in (False, True): derivation = _build_accumulation(problem_text, drop_isolated_foreign=drop) if derivation is not None: candidates.append(derivation) anchor_skip = _build_accumulation_anchor_skip(problem_text) if anchor_skip is not None: candidates.append(anchor_skip) return tuple(candidates)