test(register): widen invariant matrix to all 100 ratified packs
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.
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@ -59,11 +59,104 @@ from evals.run_cognition_eval import load_cases, run_eval
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_RATIFIED_REGISTERS: tuple[str, ...] = (
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"default_neutral_v1",
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"terse_v1",
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"precise_v1",
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"convivial_v1",
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"pedagogical_v1",
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"precise_v1",
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"formal_v1",
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"socratic_v1",
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"succinct_v1",
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"expansive_v1",
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"exhaustive_v1",
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"warm_v1",
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"cool_v1",
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"casual_v1",
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"intense_v1",
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"playful_v1",
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"calm_v1",
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"urgent_v1",
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"serene_v1",
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"dramatic_v1",
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"sober_v1",
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"clinical_v1",
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"colloquial_v1",
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"literary_v1",
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"journalistic_v1",
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"poetic_v1",
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"assertive_v1",
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"hedged_v1",
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"inviting_v1",
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"exploratory_v1",
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"didactic_v1",
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"dialectic_v1",
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"probing_v1",
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"affirming_v1",
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"curious_v1",
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"skeptical_v1",
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"confident_uncertain_v1",
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"peer_v1",
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"mentor_v1",
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"student_v1",
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"expert_v1",
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"scholar_v1",
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"practitioner_v1",
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"novice_v1",
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"narrator_v1",
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"journalist_v1",
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"elder_v1",
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"academic_v1",
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"conversational_v1",
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"executive_v1",
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"technical_v1",
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"legal_v1",
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"medical_v1",
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"scientific_v1",
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"philosophical_v1",
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"devotional_v1",
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"mathematical_v1",
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"engineering_v1",
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"plainspoken_v1",
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"cosmopolitan_v1",
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"diplomatic_v1",
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"blunt_v1",
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"aristocratic_v1",
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"folksy_v1",
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"urbane_v1",
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"timeless_v1",
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"contemporary_v1",
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"classic_v1",
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"neoteric_v1",
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"lyrical_v1",
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"cheerful_v1",
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"somber_v1",
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"melancholic_v1",
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"awed_v1",
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"grave_v1",
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"light_v1",
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"wry_v1",
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"dry_v1",
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"gentle_v1",
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"earnest_v1",
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"documentary_v1",
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"instructional_v1",
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"persuasive_v1",
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"conciliatory_v1",
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"clarifying_v1",
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"summarizing_v1",
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"critiquing_v1",
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"comparing_v1",
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"elaborating_v1",
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"exemplifying_v1",
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"tutorial_v1",
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"interview_v1",
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"briefing_v1",
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"deposition_v1",
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"lecture_v1",
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"memo_v1",
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"review_v1",
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"story_v1",
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"elegy_v1",
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"epigram_v1",
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"manifesto_v1",
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)
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