What is Quadrants Typing?

A typing layer for the quadrants, plus PEP 561 type stubs for the quadrants package itself. Installing this one package gives quadrants users both:

quadrants_typing — generic Vec, Mat, NDArray, dimension, and dtype types for annotating quadrants kernels. Import it under the conventional alias:

import quadrants_typing as qdt
import quadrants as qd

@qd.kernel
def add(
    x: qdt.NDArray[qd.i32, qdt.Dim1], 
    y: qdt.NDArray[qd.i32, qdt.Dim1],
) -> None:
    for i in range(x.shape[0]):
        x[i] = y[i]

Automatic quadrants stubs — type checkers (pyright, mypy) discover the bundled quadrants-stubs package via PEP 561 with no configuration, so import quadrants is fully typed.

Quadrants Replacements

Type annotations replaces directly some quadrants functions, mostly from qd.types. Here is a full table:

N,R,C in {1,2,3,4,5,6,7,8}
dtype n {qd.u8, qd.u16, qd.u32, ... etc.}

Description	`qdt` version	`qd` version	Example
Concrete tensor type	`qdt.NDArray[qd.<dtype>, Dim<N>]`	`qd.types.NDArray[qd.<dtype>, <N>]`	`qdt.NDArray[qd.i32, Dim3]`
Templated tensor type	`qdt.NDArray[T, DimAny]`	`qd.types.ndarray(dtype=None, ndim=None)`	`def f[T: (qd.i32, qd.f32)](arr: qdt.NDArray[T, DimAny])`
Vector type	`qdt.Vec[qd.<dtype>, Dim<N>]`	`qd.types.vector(<N>, qd.<dtype>)`	`qdt.Vec[qd.f32, Dim3]`
Matrix type	`qdt.Mat[qd.<dtype>, Dim<R>, Dim<C>]`	`qd.types.matrix(<R>, <C>, qd.<dtype>)`	`qdt.Mat[qd.f32, Dim3, Dim4]`
Compile-time value	`qdt.Template[T]`	`qd.template()`	`qdt.Template[bool]`

If you would like to construct tensors with a rank greater than 8, or vectors and matrices with any dimension longer than 8, you can. See weird_hacks example for how to create the annotation, or use qd.types.vector or qd.types.matrix if you only need a constructor (e.g. for a local array).

Examples

Runnable, annotated example programs live in examples/. Run one by name:

pixi run example init_ndarray

How Finished is This?

Not at all! There's lots of work still to be done :P. Please help!

Development Status
- 3 - Alpha
Intended Audience
- Developers
Programming Language
- Python :: 3
- Python :: 3.12
Topic
- Software Development :: Libraries :: Python Modules
Typing
- Typed

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