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 einops.layers.torch Rearrange and Reduce
modules preserve the constructor pattern and axis lengths across calls.
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.
Literal axes_lengths keyword arguments are carried into the shape rules, so named
input splits and repeated output axes remain tracked. Dynamically unpacked mappings
preserve the known rank but use gradual dimensions for unknown axis lengths.
Run the static tests with:
python3 tensor-shapes/pyrefly-einops-stubs/run_pyrefly.py --buck
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