Epic 150C: Python ONNX entity embedder - #111
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Expose OnnxEntityEmbedder in the Python extension: it embeds point-entity feature vectors through an existing OnnxRuntimeSession and returns a NumPy embedding plus its dimension, gated by the onnxruntime wheel feature. The double_dynamic.onnx fixture proves the real ONNX path doubles [1,2,3] to [2,4,6]. Add typed stub and wheel-gate test.
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Summary
Exposes the Epic 150 ONNX entity embedder in the Python extension.
Deliverables
OnnxEntityEmbedderpyclass: constructed with an existingOnnxRuntimeSession, input/output tensor names and shapes, and copy policy;embed()returns a NumPy embedding vector plus its dimension.onnxruntimewheel feature (which now also enablessemantic-model); thedouble_dynamic.onnx-style test proves the real ONNX path doubles[1,2,3]→[2,4,6]..pyistub and a wheel-gate pytest.Verification
-k onnx: 2 tests pass (session binding + embedder)cargo build --manifest-path crates/spatialrust-py/Cargo.toml --features onnxruntimecleancargo fmt --all --checkclean; workspace tests pass