feat(runtime): set values for unordered collections and tensor quantities of any rank

[devin-ai-integration]

What and why

The Kernel Data Type Library declares some collections' elements unique and unordered, but the runtime read every multi-valued feature as an ordered sequence: a Set { :>> elements = (1, 2, 2, 3); } answered [1, 2, 2, 3], CollectionFunctions::size(s) answered 1 (it counted the object) and two sets written in different orders were unequal. Tensor quantities of rank three and above constructed, but nothing pinned their indexing, shape checks, wire form or native/RDF behaviour.

Set values. Set::elements, UniqueCollection::elements and Map::elements — the features Collections.kerml declares unique without ordered — now hold a ValSet (internal/core/runtime/set_feature.go). Classification follows the library declaration through specialization and redefinition (Context.holdsSet), so a user attribute def MySet :> Set holds a set and a Bag, List, Array, OrderedSet or OrderedMap, or any feature declared ordered/nonunique, stays a sequence. A set keeps each member once, size counts members, ==/!=/same ignore the order written, contains/containsAll are membership, and isEmpty reflects the members.

Every operation whose library signature is ordered nonunique is unchanged; a set reaching one is read as its members in a canonical order. That order is total and documented (set_order.go, docs/reference/wire-contract.md, spec-compliance.md): nulls, then false before true, numbers ascending, complex by real then imaginary, strings lexicographic, quantities by dimension then magnitude, enumeration literals by declaration (qualified name, then document and position, so same-named literals of different enumerations still order alike), objects by identity, everything else by trace text and then by its elements — only valueEqual values compare as neither before nor after. collect, select, head, tail, #, comparison against a sequence, trace rendering and a write into an ordered or nonunique feature all consume that enumeration. FormatTraceValue already rendered Set{…}; it now renders the canonical enumeration rather than insertion order, which is the only change to existing expectations:

• internal/core/runtime/value_test.go TestSetElementsPreserveInsertionOrder → TestSetElementsEnumerateInCanonicalOrder: {2, 1, 2, 3} enumerates [1, 2, 3], not [2, 1, 3].
• internal/repl/runtime_commands_test.go TestFormatValue/set: Set{"a", "z"}, not Set{"z", "a"}.

Both follow from Collections.kerml's Set ("unique and unordered"): an unordered value has no insertion order to preserve, and a deterministic enumeration is what makes equal sets print and index alike. No existing conformance golden or trace changed; every set fixture is new.

There is no distinct in the bundled library, and SequenceFunctions::union/intersection/including/includingAt/excluding are all declared ordered nonunique (SequenceFunctions.kerml), so they remain sequence-valued even over set operands; library_set_sequence_functions.sysml pins that.

Tensors of any rank. TensorQuantity is rank-agnostic: a TensorMeasurementReference with :>> dimensions = (2, 2, 2) builds a rank-three tensor, # takes one index per dimension, and each shape failure is a typed error — too few/too many indexes and a component count off flattenedSize are ErrMultiplicityViolation, an index outside 1..dimension is ErrIndexOutOfRange, a non-Integer index is ErrTypeMismatch, and +/- between different shapes is ErrMultiplicityViolation naming both. Shape survives +, - and the scalar products; formatting is Tensor(2, 2, 2)[…] [m].

gRPC. api/proto/sysml.proto gains two Value arms:

ValueSet set = 18;                 // message ValueSet { repeated Value elements = 1; }
TensorQuantity tensor_quantity = 19; // message TensorQuantity { repeated int64 dimensions = 1; repeated Quantity components = 2; }

A set is sent in canonical order and accepted in any order; a repeated member is INVALID_ARGUMENT. A tensor is its positive dimensions and one scalar Quantity per row-major component; a non-positive dimension, a component count off the product or a component without a magnitude is INVALID_ARGUMENT. A rank-one tensor stays a tensor, distinct from VectorQuantity. The service advertises set_values and tensor_values; a client that omits either receives the unsupported null it always did and an inbound set/tensor is UNIMPLEMENTED — nested values are inspected recursively. Stubs were regenerated with make proto proto-buf python-proto proto-ts proto-rust; the Python gRPC header pin (GRPC_GENERATED_VERSION = '1.83.0') matches CI's grpcio-tools. The Go, Python, Node, Rust and Java clients each gain a native set type (unique, order-insensitive equality, nestable) and tensor type (positive dimensions, exact shape, row-major get, wrong-rank and out-of-range errors, shared unit when there is one), decode both arms, send both as calc arguments, and refuse them locally to a service without the capability. internal/grpc/convert_structured_test.go TestTensorQuantityCrossesAsUnsupported is removed: it asserted the arm did not exist, and TestTensorQuantityRoundTrip / TestSetAndTensorCapabilities replace it with the arm present and the arm withheld.

RDF. The mapping represents models, not evaluated values, so neither value has a literal form; a set-valued or tensor-valued feature exports as the expression tree that values it and reads back verbatim. rdf_expr.go now spells a multi-index as cube#(2, 1, 2) rather than cube#((2, 1, 2)). Documented in docs/reference/rdf-mapping.md.

Native compilation. A calc with a set or tensor parameter, result, attribute or local is refused with codegen.UnsupportedError (Unwrap() == ErrUnsupported) naming the type; documented in docs/project/native-compilation.md and spec-compliance.md.

Specification basis

KerML 1.1 Kernel Data Type Library, Collections.kerml: Collection::elements (nonunique), OrderedCollection::elements (ordered nonunique), UniqueCollection::elements (unique, "not necessarily ordered"), Bag ("unordered and nonunique"), Set ("unique and unordered"), OrderedSet ("unique and ordered"), Map/OrderedMap; SequenceFunctions.kerml union, intersection, including, includingAt, excluding (ordered nonunique); CollectionFunctions.kerml ==, size, isEmpty, notEmpty, contains, containsAll. SysML v2 1.1 Quantities.kerml TensorQuantityValue and MeasurementReferences.kerml TensorMeasurementReference::dimensions/flattenedSize.

docs/project/spec-compliance.md gains set and tensor rows (canonical iteration, ordered-boundary conversion, wire encoding, capability behaviour, RDF, native) and its gRPC Values row now covers set/tensor_quantity. Known limitation, recorded there as ⚠️: uniqueness of an ordered unique feature (OrderedSet::elements, OrderedMap::elements, any multi-valued feature not declared nonunique) is still not enforced at runtime — OrderedSet { :>> elements = (1, 1, 2); } reads [1, 1, 2] with size 3, as before this change. The set kind only covers what the library declares unordered.

How it was verified

gofmt -l .        → (empty)
go build ./...    → ok
go vet ./...      → ok
go test ./...     → ok (every package)
make lint         → staticcheck and gosec clean
make docs-check   → 0 broken links, no internal labels, changelog fragments valid

OPENSYSML_REQUIRE_TRAINING_CORPUS=1 OPENSYSML_REQUIRE_PILOT_CORPORA=1 \
  go test -count=1 ./internal/core/model -run 'TestTrainingExamples|TestPilotCorpora'
  → ok  github.com/Open-MBEE/OpenSysML/internal/core/model  15.181s
OPENSYSML_REQUIRE_TRAINING_CORPUS=1 OPENSYSML_REQUIRE_PILOT_CORPORA=1 \
  go test -count=1 -v ./internal/core/export -run TestCorpusRoundTrip
  → corpus round trip: 346 files: 346 stable, 0 whitespace-only, 0 graph-diff, 0 unwritable, 0 unparseable, 0 refused
python3 scripts/changelog.py check → ok

New coverage:

• Conformance (internal/core/runtime/testdata/conformance/): library_set_elements, library_set_elements_already_distinct, library_set_elements_empty, library_unique_collection_elements, library_map_elements, library_bag_elements, library_ordered_set_elements, library_set_operations (equality regardless of order, membership, size, conversion into ordered/nonunique/plain features), library_set_sequence_functions (every SequenceFunctions result stays a sequence over set operands), calc_set_consumed_by_ordered_operations (+ trace golden), instance_tensor_rank_three, instance_tensor_rank_three_failures.
• Unit: set_feature_test.go, collections_test.go TestCollectionOperationsOverSets, tensor_test.go (rank-three construction, indexing, arithmetic, equality, formatting).
• Robustness (robustness_test.go): typed errors for each tensor shape/index failure and higher-rank identity.
• gRPC: internal/grpc/convert_set_tensor_test.go (round trips, malformed input, nested values on every Value surface, capabilities); client/opensysml/set_tensor_test.go over in-process, Connect protobuf and Connect JSON.
• RDF: internal/core/export/set_tensor_rdf_test.go.
• Native: internal/repl/compile_test.go refusals SetParam, SetElements, SetLocal, TensorParam, TensorBuilt.
• Language-independent conformance: conformance/fixtures/set_tensor.sysml, scenarios in 01-server-info, 04-evaluate, 10-evaluate-calc — 94 scenarios: 91 passed, 0 failed, 3 skipped against the Go package client.
• Clients, run against a live sysml-grpc: Python 747 passed (test_set_tensor.py all 54 service-backed and unit cases pass); Node 108 pass; Rust 49 + 5 + 14 passed. The Java sources compile against the regenerated stubs and their tests (PublicTypesTest, ProtosTest, ApiIntegrationTest) are written, but Maven Central rate-limited this machine (HTTP 429 resolving jacoco-maven-plugin) so the Java suite could not be run locally; CI's Java job covers it.

Checklist

• make test and make lint pass locally
• Tests added or updated for the change
• Documentation extended where it already covers the surface (see CONTRIBUTING.md)
• Changelog entry added as changes/unreleased/<slug>.<section>.md, not as an edit to CHANGELOG.md
• baselines regenerated and make docs-counts run if a gate count moved (compliance rows need nothing: the census is counted at docs build)
• No internal work-item labels (waves, slices, F4, K5) in the body, docs, or changelog

[devin-ai-integration]

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