Merge pull request #404 from AssetOverflow/feat/matcher-extension-me5-integration
feat(matcher-extension/ME-5): integration smoke + ME-1..ME-5 milestone
This commit is contained in:
commit
3e196df097
3 changed files with 463 additions and 0 deletions
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@ -86,6 +86,7 @@ _TEST_SUITES: dict[str, tuple[str, ...]] = {
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"tests/test_me2_case_0019_admits.py",
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"tests/test_me3_additive_composition.py",
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"tests/test_me4_subtractive_composition.py",
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"tests/test_me5_all_categories_integration.py",
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),
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"algebra": (
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"tests/test_versor_closure.py",
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132
docs/handoff/ME1-ME5-MILESTONE.md
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132
docs/handoff/ME1-ME5-MILESTONE.md
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@ -0,0 +1,132 @@
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# Matcher Extensions Milestone — ME-1 through ME-5
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**Date:** 2026-05-27
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**Author:** Shay
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**Stack:** PRs #398 → #400 → #401 → #402 → #403 → #404
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**Status:** All five PRs open and stacked; matcher half of the math
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composition compounding loop is operational end-to-end.
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---
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## What landed
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The matcher-extension wave delivers a runtime consumer for every entry
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in `SAFE_COMPOSITION_CATEGORIES`. When a recognizer match publishes a
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`composition_shape` key in `parsed_anchors` AND the
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composition_registry carries an `affirms` entry for that shape,
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`inject_from_match` emits a pre-composed `CandidateInitial` whose
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value is the arithmetically composed quantity.
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| PR | Wave | Scope | New tests |
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|---|---|---|---|
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| #398 | CW-1 + CW-2 | Consumption infrastructure: compile_frames, compile_compositions, frame_registry, composition_registry, manifest checksum extensions, inject_from_match consult | 38 |
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| #400 | ME-1 | Currency-per-unit composition (multiplicative; Maria canary; Option A subject binding) | 21 |
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| #401 | ME-2 | Cross-sentence subject binding (case 0019 real; threads prior_subject through match() + math_candidate_graph) | 19 |
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| #402 | ME-3 | Additive composition (two-quantity same-unit "and" connective) | 15 |
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| #403 | ME-4 | Subtractive composition (initial-then-removal; non-negative remainder discipline) | 17 |
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| #404 | ME-5 | Integration smoke across all three SAFE categories + milestone | 4 |
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**Total new tests:** 114, all green.
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**Packs suite:** 127 passed.
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**`core eval gsm8k_math --split public`:** 150/150, `wrong=0`.
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---
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## Architecture
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```
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audit refusal
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→ core eval math-contemplation (decomposer dispatch)
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→ MathCompositionClaimProposal
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→ HITL ratify via apply_composition_claim()
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→ compositions/{category}.jsonl append
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→ pack-compile (CW-2) → compositions.jsonl + manifest.composition_checksum
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│
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▼
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load_composition_registry()
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│
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─── runtime path ─────────────────┼────────────────────────────────
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▼
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recognizer matches statement
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→ matcher extension (ME-1..ME-4) publishes composition_shape +
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composed_initial in parsed_anchors
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→ inject_from_match per-category injector returns ()
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→ _consult_composition_registry sees composition_shape
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→ registry: affirms entry for the shape
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→ CandidateInitial admitted
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→ candidate graph admits the statement
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→ previously-refused audit case admits
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```
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---
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## SAFE_COMPOSITION_CATEGORIES — matcher coverage matrix
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| Category | Surface pattern | Matcher | Dispatch via spec | Subject binding |
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|---|---|---|---|---|
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| `multiplicative_composition` | `bound(count) × bound(unit_cost)` | `_match_rate_with_currency` | `anchor_kind=\"currency_per_unit_composition\"` | Option A (ME-1) + Option C (ME-2 via `prior_subject`) |
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| `additive_composition` | `bound(qty_a) + bound(qty_b)` | `_match_multiplicative_aggregation` | `anchor_kind=\"additive_quantity_composition\"` | Option A only |
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| `subtractive_composition` | `bound(initial) − bound(removed)` | `_match_multiplicative_aggregation` | `anchor_kind=\"subtractive_quantity_composition\"` | Option A only |
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---
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## Invariants preserved across the entire stack
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- `wrong == 0` on `core eval gsm8k_math --split public` (150/150)
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- Case 0050 hazard pin (parametrized over all three allowlist categories)
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- ADR-0166 — no new eval lanes
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- ADR-0167 partition — no cognition imports in any new module
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- ADR-0169 mutation boundary — registry is a gate, never an
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arithmetic primitive; matcher owns the math
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- All matcher detection paths byte-identical (regression pins per PR)
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- `engine_state/*` never committed
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- `SAFE_COMPOSITION_CATEGORIES` enforced at write AND load
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- Polarity `falsifies` honored uniformly across all matchers
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- Refusal-preferring: pronoun / determiner / cross-unit / unobserved
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/ unknown verb / zero count / negative remainder all refuse
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---
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## Scope boundary — what does NOT fire yet
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The wiring is end-to-end correct (verified by ME-5's integration
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test that stages a synthetic pack and admits all three canaries).
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**Live `train_sample` admission** requires operator-seeded
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ratifications:
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1. A `RatifiedRecognizer` proposal in the proposal log carrying:
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- `shape_category = RATE_WITH_CURRENCY` (or `MULTIPLICATIVE_AGGREGATION`)
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- `canonical_pattern.anchor_kind = "currency_per_unit_composition"`
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(or `additive_quantity_composition` / `subtractive_quantity_composition`)
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- the right `observed_*` sets
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2. A composition_registry entry compiled into the canonical pack:
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- `surface_pattern = "bound(count) × bound(unit_cost)"`
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(or the additive / subtractive shapes)
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- `composition_category` in the allowlist
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- `polarity = "affirms"`
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These are operator decisions, not automated. When seeded, the live
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train_sample run admits the 20 audit cases (12 quantity_extraction +
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8 multi_quantity_composition) covered by this wave.
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---
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## Recommended next dispatch
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**RAT-1:** Operator-workflow PR / runbook that seeds the necessary
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RecognizerSpec proposals + composition_registry entries to fire the
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live eval-delta truth test. With RAT-1 merged, `train_sample` moves
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from 3/47 → ≥4/46 (with case 0050 still refused, `wrong=0`
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preserved). The flywheel produces its first `ratify → admit` event
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on the canonical pack.
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---
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## Memory pointers
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- [[milestone-me1-me5-matcher-extensions-complete]] — this milestone
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- [[project-ratification-consumption-gap-2026-05-27]] — original finding
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- [[feedback-ratify-vs-consume-loop-closure]] — general pattern
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- [[milestone-adr-0172-tier1-2026-05-27]] — Tier 1 parent
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- [[adr-0167-audit-as-evidence-wave]] — parent corridor
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- [[feedback-wrong-zero-hazard-case-0050]] — preserved across the stack
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330
tests/test_me5_all_categories_integration.py
Normal file
330
tests/test_me5_all_categories_integration.py
Normal file
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@ -0,0 +1,330 @@
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"""ME-5 — integration smoke test across all three SAFE_COMPOSITION_CATEGORIES.
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Exercises the complete matcher → registry → injector → admission chain
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for each of the three SAFE categories in one test run. Verifies the
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ME-1 through ME-4 stack composes cleanly when all three category
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ratifications are present in the same pack.
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This is the milestone canary: when this test passes, the math
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composition flywheel's matcher half is operational end-to-end across
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all admissible categories.
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"""
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from __future__ import annotations
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import json
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from pathlib import Path
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from typing import Any, Mapping
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from evals.refusal_taxonomy.shape_categories import ShapeCategory
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from generate.comprehension.composition_registry import (
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clear_cache as clear_composition_cache,
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)
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from generate.math_candidate_parser import CandidateInitial
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from generate.recognizer_anchor_inject import inject_from_match
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from generate.recognizer_match import (
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RecognizerMatch,
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_match_multiplicative_aggregation,
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_match_rate_with_currency,
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)
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from language_packs.compile_compositions import compile_compositions
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from teaching.math_composition_ratification import SAFE_COMPOSITION_CATEGORIES
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def setup_function(_):
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clear_composition_cache()
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def _stage_pack_all_three(tmp_path: Path) -> Path:
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pack = tmp_path / "en_core_math_v1"
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comp_dir = pack / "compositions"
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comp_dir.mkdir(parents=True)
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entries = [
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(
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"multiplicative_composition.jsonl",
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{
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"surface_pattern": "bound(count) × bound(unit_cost)",
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"composition_category": "multiplicative_composition",
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"polarity": "affirms",
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"provenance": "test_me5",
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"evidence_hashes": [],
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},
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),
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(
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"additive_composition.jsonl",
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{
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"surface_pattern": "bound(qty_a) + bound(qty_b)",
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"composition_category": "additive_composition",
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"polarity": "affirms",
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"provenance": "test_me5",
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"evidence_hashes": [],
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},
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),
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(
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"subtractive_composition.jsonl",
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{
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"surface_pattern": "bound(initial) − bound(removed)",
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"composition_category": "subtractive_composition",
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"polarity": "affirms",
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"provenance": "test_me5",
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"evidence_hashes": [],
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},
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),
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]
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for filename, entry in entries:
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(comp_dir / filename).write_text(json.dumps(entry) + "\n", encoding="utf-8")
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_, sha = compile_compositions(pack)
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(pack / "manifest.json").write_text(
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json.dumps(
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{
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"pack_id": "en_core_math_v1",
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"checksum": "x",
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"composition_checksum": sha,
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}
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),
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encoding="utf-8",
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)
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return pack
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def _patch_pack_root(monkeypatch, pack_path: Path) -> None:
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from generate.comprehension import composition_registry as cr
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monkeypatch.setattr(cr, "_DEFAULT_PACK_RELPATH", pack_path)
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monkeypatch.setattr(cr, "_repo_root", lambda: Path("/"))
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def _make_match(anchors, category: ShapeCategory) -> RecognizerMatch:
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class _R:
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spec_id = "test_me5"
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return RecognizerMatch(
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recognizer=_R(), # type: ignore[arg-type]
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category=category,
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outcome="admissible",
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graph_intent="rate",
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parsed_anchors=anchors,
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)
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def test_all_three_canaries_admit_through_full_pipeline(monkeypatch, tmp_path):
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"""End-to-end: one canary per SAFE category, all admit."""
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pack = _stage_pack_all_three(tmp_path)
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_patch_pack_root(monkeypatch, pack)
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# Multiplicative canary (ME-1)
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mult_spec: Mapping[str, Any] = {
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"anchor_kind": "currency_per_unit_composition",
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"observed_currency_symbols": ["$"],
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"observed_per_units": ["each", "apiece"],
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}
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mult_stmt = "Maria bought 3 vet appointments at $400 each."
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mult_result = _match_rate_with_currency(mult_stmt, mult_spec)
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assert mult_result is not None
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mult_match = _make_match(mult_result[0], ShapeCategory.RATE_WITH_CURRENCY)
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mult_emit = inject_from_match(mult_match, mult_stmt)
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assert len(mult_emit) == 1
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assert isinstance(mult_emit[0], CandidateInitial)
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assert mult_emit[0].initial.entity == "Maria"
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assert mult_emit[0].initial.quantity.value == 1200
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assert mult_emit[0].initial.quantity.unit == "dollars"
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# Additive canary (ME-3)
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add_spec: Mapping[str, Any] = {
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"anchor_kind": "additive_quantity_composition",
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"observed_units": ["dollars"],
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}
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add_stmt = "Sam earned 100 dollars and 50 dollars."
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add_result = _match_multiplicative_aggregation(add_stmt, add_spec)
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assert add_result is not None
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add_match = _make_match(add_result[0], ShapeCategory.MULTIPLICATIVE_AGGREGATION)
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add_emit = inject_from_match(add_match, add_stmt)
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assert len(add_emit) == 1
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assert add_emit[0].initial.entity == "Sam"
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assert add_emit[0].initial.quantity.value == 150
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assert add_emit[0].initial.quantity.unit == "dollars"
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# Subtractive canary (ME-4)
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sub_spec: Mapping[str, Any] = {
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"anchor_kind": "subtractive_quantity_composition",
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"observed_units": ["apples", "apple"],
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}
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sub_stmt = "Tom had 10 apples and lost 4 apples."
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sub_result = _match_multiplicative_aggregation(sub_stmt, sub_spec)
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assert sub_result is not None
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sub_match = _make_match(sub_result[0], ShapeCategory.MULTIPLICATIVE_AGGREGATION)
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sub_emit = inject_from_match(sub_match, sub_stmt)
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assert len(sub_emit) == 1
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assert sub_emit[0].initial.entity == "Tom"
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assert sub_emit[0].initial.quantity.value == 6
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assert sub_emit[0].initial.quantity.unit == "apples"
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def test_partial_pack_only_admits_present_categories(monkeypatch, tmp_path):
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"""If only multiplicative is ratified, additive + subtractive refuse."""
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pack = tmp_path / "en_core_math_v1"
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comp_dir = pack / "compositions"
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comp_dir.mkdir(parents=True)
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(comp_dir / "multiplicative_composition.jsonl").write_text(
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json.dumps(
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{
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"surface_pattern": "bound(count) × bound(unit_cost)",
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"composition_category": "multiplicative_composition",
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"polarity": "affirms",
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"provenance": "test_me5_partial",
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"evidence_hashes": [],
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}
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)
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+ "\n",
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encoding="utf-8",
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)
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_, sha = compile_compositions(pack)
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(pack / "manifest.json").write_text(
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json.dumps(
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{
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"pack_id": "en_core_math_v1",
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"checksum": "x",
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"composition_checksum": sha,
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}
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),
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encoding="utf-8",
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)
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_patch_pack_root(monkeypatch, pack)
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# Multiplicative admits...
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mult_result = _match_rate_with_currency(
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"Maria bought 3 vet appointments at $400 each.",
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{
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"anchor_kind": "currency_per_unit_composition",
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"observed_currency_symbols": ["$"],
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"observed_per_units": ["each"],
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},
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)
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assert mult_result is not None
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mult_match = _make_match(mult_result[0], ShapeCategory.RATE_WITH_CURRENCY)
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mult_emit = inject_from_match(mult_match, "Maria bought 3 vet appointments at $400 each.")
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assert len(mult_emit) == 1
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# ...but additive refuses because no additive entry in this pack.
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add_result = _match_multiplicative_aggregation(
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"Sam earned 100 dollars and 50 dollars.",
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{
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"anchor_kind": "additive_quantity_composition",
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"observed_units": ["dollars"],
|
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},
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)
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assert add_result is not None
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add_match = _make_match(add_result[0], ShapeCategory.MULTIPLICATIVE_AGGREGATION)
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add_emit = inject_from_match(add_match, "Sam earned 100 dollars and 50 dollars.")
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assert add_emit == () # refusal-preferring
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def test_all_safe_categories_have_extension_admission():
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"""Every entry in SAFE_COMPOSITION_CATEGORIES has a corresponding
|
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matcher extension path. This pin breaks if a future ADR widens the
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allowlist without also shipping a matcher extension — operator must
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decide consciously."""
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expected = {
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"multiplicative_composition",
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"additive_composition",
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"subtractive_composition",
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}
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assert SAFE_COMPOSITION_CATEGORIES == frozenset(expected), (
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"ME-5 covers exactly these three categories — widening "
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"SAFE_COMPOSITION_CATEGORIES requires adding a matcher extension "
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"and updating this pin."
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)
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||||
|
||||
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def test_falsifies_uniformly_suppresses_across_categories(monkeypatch, tmp_path):
|
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"""polarity='falsifies' suppresses for any category."""
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pack = tmp_path / "en_core_math_v1"
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comp_dir = pack / "compositions"
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comp_dir.mkdir(parents=True)
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for filename, category, shape in [
|
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(
|
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"multiplicative_composition.jsonl",
|
||||
"multiplicative_composition",
|
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"bound(count) × bound(unit_cost)",
|
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),
|
||||
(
|
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"additive_composition.jsonl",
|
||||
"additive_composition",
|
||||
"bound(qty_a) + bound(qty_b)",
|
||||
),
|
||||
(
|
||||
"subtractive_composition.jsonl",
|
||||
"subtractive_composition",
|
||||
"bound(initial) − bound(removed)",
|
||||
),
|
||||
]:
|
||||
(comp_dir / filename).write_text(
|
||||
json.dumps(
|
||||
{
|
||||
"surface_pattern": shape,
|
||||
"composition_category": category,
|
||||
"polarity": "falsifies",
|
||||
"provenance": "test_me5_falsifies",
|
||||
"evidence_hashes": [],
|
||||
}
|
||||
)
|
||||
+ "\n",
|
||||
encoding="utf-8",
|
||||
)
|
||||
_, sha = compile_compositions(pack)
|
||||
(pack / "manifest.json").write_text(
|
||||
json.dumps(
|
||||
{"pack_id": "en_core_math_v1", "checksum": "x", "composition_checksum": sha}
|
||||
),
|
||||
encoding="utf-8",
|
||||
)
|
||||
_patch_pack_root(monkeypatch, pack)
|
||||
|
||||
# All three matchers extract anchors but inject_from_match suppresses.
|
||||
mult = _match_rate_with_currency(
|
||||
"Maria bought 3 vet appointments at $400 each.",
|
||||
{
|
||||
"anchor_kind": "currency_per_unit_composition",
|
||||
"observed_currency_symbols": ["$"],
|
||||
"observed_per_units": ["each"],
|
||||
},
|
||||
)
|
||||
assert mult is not None
|
||||
assert (
|
||||
inject_from_match(
|
||||
_make_match(mult[0], ShapeCategory.RATE_WITH_CURRENCY),
|
||||
"Maria bought 3 vet appointments at $400 each.",
|
||||
)
|
||||
== ()
|
||||
)
|
||||
|
||||
add = _match_multiplicative_aggregation(
|
||||
"Sam earned 100 dollars and 50 dollars.",
|
||||
{"anchor_kind": "additive_quantity_composition", "observed_units": ["dollars"]},
|
||||
)
|
||||
assert add is not None
|
||||
assert (
|
||||
inject_from_match(
|
||||
_make_match(add[0], ShapeCategory.MULTIPLICATIVE_AGGREGATION),
|
||||
"Sam earned 100 dollars and 50 dollars.",
|
||||
)
|
||||
== ()
|
||||
)
|
||||
|
||||
sub = _match_multiplicative_aggregation(
|
||||
"Tom had 10 apples and lost 4 apples.",
|
||||
{
|
||||
"anchor_kind": "subtractive_quantity_composition",
|
||||
"observed_units": ["apples"],
|
||||
},
|
||||
)
|
||||
assert sub is not None
|
||||
assert (
|
||||
inject_from_match(
|
||||
_make_match(sub[0], ShapeCategory.MULTIPLICATIVE_AGGREGATION),
|
||||
"Tom had 10 apples and lost 4 apples.",
|
||||
)
|
||||
== ()
|
||||
)
|
||||
Loading…
Reference in a new issue