This release is a pre-release and may not be stable for production use.
Pyrefly JAX shape stubs
This package is a PEP 561 stub-only distribution. It installs the jax-stubs
stub package so Pyrefly can discover shape-aware stubs for the runtime jax
package without replacing or shadowing JAX itself. It is versioned in lockstep
with Pyrefly and depends on the matching pyrefly-shape-extensions and
pyrefly-numpy-stubs packages. Installing it also installs jax, which provides
upstream modules used by these partial stubs. The jax dependency is unpinned,
so projects can choose their own JAX version.
Shape-typed fixture stubs for a subset of JAX. This is a starting point for
working with the JAX core team rather than a complete model: it covers array
creation, broadcasting arithmetic, matmul, reshape, transpose, the
axis/keepdims reductions, and the elementwise activations in jax.nn.
Dimensions are modeled and dtypes are not, so adding dtypes later means modeling
JAX's own defaults (float32 and int32) rather than copying the NumPy stubs.
Shape rules use the type-level DSL, @type_shape_dsl_function, exclusively. A
rule the DSL cannot express yet returns a gradual shape instead. Where a rule is
imprecise for that reason, the stub says so at the definition, along with
whether a fix is expected.
TENSOR_SHAPES_CONTRIBUTING.md at the repository root covers the workflow, and
tensor-shapes/run_tests.py runs the tests. Pyrefly checks the stubs themselves
and every test/test_*.py, and those same test files then run against real
JAX, so a stub that is self-consistent but wrong still fails.
Before submitting a change, format this package with Ruff from the repository root:
uv tool run --from ruff==0.16.5 ruff format tensor-shapes/jax-pyrefly-stubs
Anything not listed above is simply absent rather than modeled loosely, so it is reported as a missing attribute rather than inferred gradually.
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