"""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 ∧ cue ∧ unit ∧ completeness ∧ uniqueness). The gate keeps wrong=0; this only proposes a structurally-licensed candidate. Polarity (ordered, so the ambiguous ``gives`` is resolved, never guessed): * ``more`` present -> **gain** (covers ``buys/gets/… N more`` and ``gives her N more`` — the subject is the recipient); * else an unambiguous **loss** verb -> **loss**; * else ``gives``/``gave`` with ``to``/``away`` -> **loss** (gives N *to* someone); * else an unambiguous **gain** verb -> **gain**; * else -> **refuse** (no guessing). Referent guard (wrong=0-critical; the ADR-0174 multi-actor hazard's defensive fix, built minimally in the clean lane rather than resurrecting the retired resolver): a later clause stays on the anchor's referent iff its **subject token** is a pronoun (``He/She/They/…``) or the same name as the anchor's subject. A **new named subject** (a different capitalised non-pronoun first token, e.g. ``Tom``) -> refuse. Pronoun gender/number is **not** matched (that was the old resolver's trap); a new *name* is the only signal, and it triggers refusal, not resolution. 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.verify import Resolution, select_self_verified from generate.math_roundtrip import _tokens # Closed change-cue lexeme sets (ADR-0165: lexemes, not grammar templates; refined # by the CP ledger, not asserted complete). Sorted use keeps cue selection stable. _GAIN_VERBS: Final[frozenset[str]] = frozenset( { "buys", "bought", "gets", "got", "finds", "found", "picks", "picked", "earns", "earned", "receives", "received", "collects", "collected", "wins", "won", "makes", "made", "gains", "gained", "adds", "added", } ) _LOSS_VERBS: Final[frozenset[str]] = frozenset( { "loses", "lost", "spends", "spent", "uses", "used", "eats", "ate", "sells", "sold", "donates", "donated", "drops", "dropped", "removes", "removed", "breaks", "broke", } ) _PRONOUNS: Final[frozenset[str]] = frozenset( {"he", "she", "they", "it", "him", "her", "them", "his", "hers", "its", "their", "we", "i", "you"} ) _WORD_RE: Final[re.Pattern[str]] = re.compile(r"[A-Za-z]+") def _subject_token(clause: str) -> str | None: """The clause's leading word token (its surface subject), or None if wordless.""" match = _WORD_RE.search(clause) return match.group(0) if match is not None else None def _same_referent(clause: str, anchor_subject: str | None) -> bool: """True iff ``clause`` does not introduce a new *named* subject. Conservative: a leading pronoun continues the referent; a leading token equal to the anchor's subject continues it; any other capitalised (named) leading token is a *new actor* and breaks the referent (-> caller refuses). """ subject = _subject_token(clause) if subject is None: return True # wordless fragment carries no new actor if subject.lower() in _PRONOUNS: return True if anchor_subject is not None and subject == anchor_subject: return True # A new capitalised, non-pronoun leading token is a new named actor. return not subject[:1].isupper() def _polarity(clause: str) -> int | None: """+1 (gain), -1 (loss), or None (ambiguous / no licensed change cue -> refuse).""" tokens = set(_tokens(clause)) if "more" in tokens: return +1 loss = bool(_LOSS_VERBS & tokens) gain = bool(_GAIN_VERBS & tokens) gives = "gives" in tokens or "gave" in tokens directional = "to" in tokens or "away" in tokens if loss and not gain: return -1 if gives and directional and not gain and not loss: return -1 if gain and not loss: return +1 return None def _cue(clause: str, polarity: int) -> str: """A grounded cue lexeme present in the clause (for the gate's cue check).""" tokens = set(_tokens(clause)) if "more" in tokens and polarity > 0: return "more" verbs = _GAIN_VERBS if polarity > 0 else _LOSS_VERBS present = sorted(verbs & tokens) if present: return present[0] return "gives" # the only remaining licensed loss path (gives … to/away) 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 = _subject_token(anchor_clause) steps: list[Step] = [] for clause in change_clauses: if not _same_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 = _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=_cue(clause, 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. The strict reading and (when it differs) the distractor-skip reading. 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) return tuple(candidates)