a2980bdca2
* feat(epistemic): populate normative_detail on TurnEvent and ChatResponse Adds normative_detail_from_verdicts() to core.epistemic_state and wires it into both the stub and main ChatResponse/TurnEvent construction sites. The field carries a sorted comma-separated list of violated boundary or commitment IDs when normative clearance is VIOLATED or SUPPRESSED; empty string otherwise. * docs(ADR-0142): ratify epistemic state taxonomy — 14-state vocabulary + normative clearance axis Formalises the six-subsystem Framing 1 audit findings into a first-class decision. Accepts the 14-state taxonomy and companion 4-value normative clearance axis. Documents Phase 3 deliverables already landed and defers structured provenance + cross-subsystem transition machinery to ADR-0144. * feat(recognition): output contract + ADR-0143 Adds recognition/outcome.py: RecognitionOutcome, FeatureBundle, BoundFeature, EvidenceSpan, NegativeEvidence, the three typed refusal classes (ShapeRefusal, FeatureEvidenceRefusal, FeatureConsistencyRefusal), and RecognitionProvenance. Frozen dataclasses, JSON-serializable, byte-deterministic invariants enforced in __post_init__. ADR-0143 commits to Mechanism D (multi-resolution anti-unification over token sequences) and defines the two-phase acceptance test. * feat(recognition): derive phase1 anti-unifier
53 lines
966 B
TOML
53 lines
966 B
TOML
[project]
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name = "core-versor"
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version = "0.1.0"
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description = "Versor Engine: cognitive field system on Cl(4,1) Conformal Geometric Algebra"
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requires-python = ">=3.11"
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dependencies = [
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"hypothesis>=6.152.7",
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"numpy>=1.26",
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"pytest>=9.0.3",
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"pytest-asyncio>=1.3.0",
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"pytest-xdist>=3.6",
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"psutil>=7.0",
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"pyrage==1.2.3",
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"pyyaml>=6.0",
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"ruff>=0.15.12",
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"datasets>=4.8.5",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.0",
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"pytest-asyncio>=0.23",
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"hypothesis>=6.100",
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]
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[project.scripts]
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core = "core.cli:main"
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[tool.setuptools.packages.find]
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where = ["."]
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include = [
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"algebra*",
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"alignment*",
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"chat*",
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"core*",
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"field*",
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"formation*",
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"generate*",
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"ingest*",
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"language_packs*",
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"morphology*",
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"persona*",
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"recognition*",
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"sensorium*",
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"session*",
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"vault*",
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"vocab*",
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]
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[tool.pytest.ini_options]
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asyncio_mode = "auto"
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testpaths = ["tests"]
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