core/tests/test_intent_ratifier.py
Shay e7d116c924 feat(physics,cognition): Cl(4,1) geometric sovereignty convergence
Excise identity L2 dual-mode and pipeline PASSTHROUGH cold-starts; enforce
wave-only IdentityCheck with MissingWaveStateError; hard-fail GoldTether
transitions via GoldTetherViolationError; dual-competing Shadow Coherence
Gate with populated contract_assessment; auto-compile field packets before
intent ratify; conformal argmax ratification and content-addressed proof
atoms; sandwich multi-modality ingress with GoldTether digests.

Amend ADR-0243/0244 (docs/adr + research) for wave-only / SUPERSEDED sketches.
Pin binary gates in tests/test_geometric_convergence_checklist.py.

[Verification]: Smoke suite passed locally (~136–142s, 176 passed);
cognition suite passed (122 passed, 1 skipped); lifecycle suite 51 passed.
2026-07-20 12:20:05 -07:00

115 lines
4.7 KiB
Python

"""Tests for field-grounded intent ratification (ADR-0022 §TBD-1)."""
from __future__ import annotations
from dataclasses import dataclass
import numpy as np
from generate.admissibility import AdmissibilityRegion
from generate.intent import DialogueIntent, IntentTag
from generate.intent_ratifier import (
RatificationOutcome,
ratify_intent,
region_for_intent,
)
@dataclass
class _StubVocab:
"""Minimal vocab stub with the same shape ratify_intent reads."""
table: dict[str, np.ndarray]
def get_versor(self, token: str) -> np.ndarray:
return self.table[token.lower()]
def _make_vocab(tokens: dict[str, int]) -> _StubVocab:
table: dict[str, np.ndarray] = {}
for token, seed in tokens.items():
rng = np.random.default_rng(seed)
table[token] = rng.standard_normal(32).astype(np.float32)
return _StubVocab(table=table)
class TestRatifyIntent:
def test_unknown_seed_demotes(self) -> None:
vocab = _make_vocab({})
intent = DialogueIntent(tag=IntentTag.UNKNOWN, subject="")
result = ratify_intent(intent, np.zeros(32, dtype=np.float32), vocab=vocab)
assert result.outcome is RatificationOutcome.DEMOTED
assert result.intent.tag is IntentTag.UNKNOWN
def test_no_anchor_demotes_to_unknown(self) -> None:
vocab = _make_vocab({}) # empty vocab
intent = DialogueIntent(tag=IntentTag.DEFINITION, subject="quokka")
result = ratify_intent(intent, np.ones(32, dtype=np.float32), vocab=vocab)
assert result.outcome is RatificationOutcome.DEMOTED
assert result.intent.tag is IntentTag.UNKNOWN
assert result.seed_tag is IntentTag.DEFINITION
def test_ratified_when_prompt_aligns_with_anchor(self) -> None:
vocab = _make_vocab({"truth": 1})
anchor = vocab.get_versor("truth")
intent = DialogueIntent(tag=IntentTag.DEFINITION, subject="truth")
# prompt = the anchor itself → maximally aligned
result = ratify_intent(intent, anchor, vocab=vocab, threshold=0.0)
assert result.outcome is RatificationOutcome.RATIFIED
assert result.intent.tag is IntentTag.DEFINITION
def test_subject_self_boost_does_not_rescue_weak_prompt(self) -> None:
"""Skeptic: subject self-inner must not override a weak prompt field."""
vocab = _make_vocab({"truth": 1, "is": 2})
subject = vocab.get_versor("truth")
# Weak prompt anti-aligned with subject (not the subject versor itself).
weak = (-subject).astype(np.float32)
intent = DialogueIntent(tag=IntentTag.DEFINITION, subject="truth")
result = ratify_intent(intent, weak, vocab=vocab, threshold=0.5)
assert result.outcome is RatificationOutcome.DEMOTED
assert result.intent.tag is IntentTag.UNKNOWN
# Score is cga_inner(weak, anchors) only — not cga_inner(subject, subject).
assert result.score < 0.5
def test_demoted_under_extreme_threshold(self) -> None:
vocab = _make_vocab({"x": 7})
intent = DialogueIntent(tag=IntentTag.DEFINITION, subject="x")
result = ratify_intent(
intent,
np.zeros(32, dtype=np.float32),
vocab=vocab,
threshold=1e9,
)
assert result.outcome is RatificationOutcome.DEMOTED
assert result.intent.tag is IntentTag.UNKNOWN
assert result.seed_tag is IntentTag.DEFINITION
def test_ratification_is_deterministic(self) -> None:
vocab = _make_vocab({"truth": 1})
intent = DialogueIntent(tag=IntentTag.DEFINITION, subject="truth")
prompt = vocab.get_versor("truth")
a = ratify_intent(intent, prompt, vocab=vocab)
b = ratify_intent(intent, prompt, vocab=vocab)
assert a == b
class TestRegionForIntent:
def test_empty_vocab_yields_unconstrained_region(self) -> None:
vocab = _make_vocab({})
intent = DialogueIntent(tag=IntentTag.DEFINITION, subject="quokka")
region = region_for_intent(intent, vocab=vocab)
assert isinstance(region, AdmissibilityRegion)
assert region.is_unconstrained()
assert "intent[definition]" in region.label
def test_grounded_intent_yields_non_trivial_blade(self) -> None:
vocab = _make_vocab({"truth": 1, "is": 2})
intent = DialogueIntent(tag=IntentTag.DEFINITION, subject="truth")
region = region_for_intent(intent, vocab=vocab)
assert float(np.linalg.norm(region.relation_blade)) > 0.0
def test_label_includes_intent_tag(self) -> None:
vocab = _make_vocab({"a": 1})
intent = DialogueIntent(tag=IntentTag.CAUSE, subject="a")
region = region_for_intent(intent, vocab=vocab)
assert "intent[cause]" in region.label