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test(register): widen invariant matrix to all 100 ratified packs

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PR #102 ratified 93 drafted register packs, bringing the catalog to
100 fully-sealed packs on disk. This widens
tests/test_cognition_eval_register_matrix.py::_RATIFIED_REGISTERS
from 7 to 100 so every projection-invariant assertion (trace_hash,
intent_correct, terms_captured, surface_contains_pass,
versor_closure, versor_condition, canonical surface, and aggregate
metrics) now runs against every ratified pack.

Verification on PR #102 head: 801 cells passed in 316.76s
  = 100 registers × 8 projections + 1 meta-test
  = full ADR-0072 invariant proven across the entire register axis
    on all 45 cognition cases.

The meta-test test_register_matrix_covers_every_ratified_pack
remains the structural co-evolution guard: any future register pack
ratification must widen both REGISTER_IDS in
scripts/ratify_register_packs.py AND _RATIFIED_REGISTERS here in
the same change, or CI fails fast.
This commit is contained in:
Shay 2026-05-21 06:38:22 -07:00
parent cad8b39928
commit 483c66dc5f
1 changed files with 94 additions and 1 deletions
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95
tests/test_cognition_eval_register_matrix.py
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@ -59,11 +59,104 @@ from evals.run_cognition_eval import load_cases, run_eval
_RATIFIED_REGISTERS: tuple[str, ...] = ( _RATIFIED_REGISTERS: tuple[str, ...] = (
"default_neutral_v1", "default_neutral_v1",
"terse_v1", "terse_v1",
"precise_v1",
"convivial_v1", "convivial_v1",
"pedagogical_v1", "pedagogical_v1",
"precise_v1",
"formal_v1", "formal_v1",
"socratic_v1", "socratic_v1",
"succinct_v1",
"expansive_v1",
"exhaustive_v1",
"warm_v1",
"cool_v1",
"casual_v1",
"intense_v1",
"playful_v1",
"calm_v1",
"urgent_v1",
"serene_v1",
"dramatic_v1",
"sober_v1",
"clinical_v1",
"colloquial_v1",
"literary_v1",
"journalistic_v1",
"poetic_v1",
"assertive_v1",
"hedged_v1",
"inviting_v1",
"exploratory_v1",
"didactic_v1",
"dialectic_v1",
"probing_v1",
"affirming_v1",
"curious_v1",
"skeptical_v1",
"confident_uncertain_v1",
"peer_v1",
"mentor_v1",
"student_v1",
"expert_v1",
"scholar_v1",
"practitioner_v1",
"novice_v1",
"narrator_v1",
"journalist_v1",
"elder_v1",
"academic_v1",
"conversational_v1",
"executive_v1",
"technical_v1",
"legal_v1",
"medical_v1",
"scientific_v1",
"philosophical_v1",
"devotional_v1",
"mathematical_v1",
"engineering_v1",
"plainspoken_v1",
"cosmopolitan_v1",
"diplomatic_v1",
"blunt_v1",
"aristocratic_v1",
"folksy_v1",
"urbane_v1",
"timeless_v1",
"contemporary_v1",
"classic_v1",
"neoteric_v1",
"lyrical_v1",
"cheerful_v1",
"somber_v1",
"melancholic_v1",
"awed_v1",
"grave_v1",
"light_v1",
"wry_v1",
"dry_v1",
"gentle_v1",
"earnest_v1",
"documentary_v1",
"instructional_v1",
"persuasive_v1",
"conciliatory_v1",
"clarifying_v1",
"summarizing_v1",
"critiquing_v1",
"comparing_v1",
"elaborating_v1",
"exemplifying_v1",
"tutorial_v1",
"interview_v1",
"briefing_v1",
"deposition_v1",
"lecture_v1",
"memo_v1",
"review_v1",
"story_v1",
"elegy_v1",
"epigram_v1",
"manifesto_v1",
) )