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Convert Python assertions to type annotations and back

Project description

AnnAssert

annassert (Annotated Assertions) is a Python library and CLI tool that turns assertions into annotations, and vice versa.

Go from here:

def repeat(s, n):
    """Repeat string s n times."""
    assert isinstance(s, str) and len(s) > 0
    assert isinstance(n, int) and n >= 0 and n <= 100
    return s * n

To there:

def repeat(s: Annotated[str, MinLen(1)], n: Annotated[int, Ge(0), Le(100)]):
    """Repeat string s n times."""
    assert len(s) >= 1
    assert n >= 0 and n <= 100
    return s * n

And enjoy your type-checker superpowers!

How to use

Install with pip or ruff, then:

# by default, adds annotations AND assertions
annassert path/to/your/code.py

# diff mode
annassert --diff path/to/your/code.py

# check mode
annassert --check path/to/your/code.py

Supported conversions

Assert clause Annotation Notes
x > v Annotated[T, Gt(v)]
x >= v Annotated[T, Ge(v)]
x < v Annotated[T, Lt(v)]
x <= v Annotated[T, Le(v)]
len(x) >= v Annotated[T, MinLen(v)]
len(x) <= v Annotated[T, MaxLen(v)]
x % v == 0 Annotated[T, MultipleOf(v)]
x.ndim == n Shaped[T, "_ … _"] (n dims) jaxtyping
x.shape[i] == v Shaped[T, "… v …"] jaxtyping, integer v only
(type checker) Float[T, s], Int[T, s], … jaxtyping dtype — no runtime assert
(type checker) x: T base type — no runtime assert

Note: We have only partial support for named jaxtyping axes (e.g. "batch seq d_model"). They are translated to weaker assertions (assert x.ndims == 4)

Why ?

This project was created during the Apart Research Software security hackathon, as part of a broader effort to drastically improve the quality of python research code.

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