typed-numpy 0.2.2

Typed NumPy with static shape typing and runtime shape validation.

typed-numpy

Typed NumPy with static shape typing and runtime shape validation.

[!WARNING] Experimental & WIP. See USAGE.md for more details.

Installation

Install uv (optional, recommended)

Install uv, if not already. Check here for installation instructions.

It is recommended to use uv, as it will automatically install the dependencies in a virtual environment. If you don't want to use uv, skip to the next step.

TL;DR: Just run

curl -LsSf https://astral.sh/uv/install.sh | sh

Install the package

The dependencies are listed in the pyproject.toml file. At present, the only required dependency is numpy.

Install the package from the PyPI release:

# Using uv
uv add typed-numpy

# Or with pip
pip3 install typed-numpy

To install from the latest commit:

uv add git+https://github.com/AshrithSagar/typed-numpy.git@main

Usage

from typing import TypeVar

from typed_numpy._typed.ndarray import TypedNDArray

# Shape variables are just regular TypeVar's
N = TypeVar("N", bound=int, default=int)
M = TypeVar("M", bound=int, default=int)

# Create aliases such as these, or use TypedNDArray directly
Vector = TypedNDArray[tuple[N]]
Matrix = TypedNDArray[tuple[M, N]]

v1 = Vector([1, 2, 3])  # Passes
v2 = Vector([4, 5, 6, 7])  # Also passes

v3 = TypedNDArray[tuple[int]]([[8, 9]])
# Fails, since expected 1D array but passed in a 2D array

See USAGE.md for more details.

License

This project falls under the MIT License.