This release is a pre-release and may not be stable for production use.
Pyrefly einops shape stubs
This package is a PEP 561 stub-only distribution for einops. It provides
shape-aware annotations for rearrange, reduce, repeat, and einsum using
Pyrefly's type-level shape DSL.
The precise annotations currently target PyTorch. The runtime corpus also exercises NumPy and JAX to validate that the shared einops pattern semantics agree across backends.
TODO: Once Pyrefly supports a MapShape type operator, make the annotations
generic over array libraries while preserving the input's nominal array type.
Patterns that need named axes_lengths currently return a gradual shape; the
core evaluator already supports those lengths, and a future call-site bridge
will make them available to the shape rule.
Run the static tests with:
python3 tensor-shapes/pyrefly-einops-stubs/run_pyrefly.py --buck
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