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@gcu/natra

v0.1.0

Published

ndarray operations backed by atra-compiled Wasm kernels. NumPy-compatible element-wise ops, reductions, broadcasting, strided views. Designed to pair with @gcu/adder (Python) for numpy-style code; standalone JS API also available.

Downloads

45

Readme

@gcu/natra

ndarray operations for JavaScript, backed by atra-compiled Wasm kernels. NumPy-compatible element-wise ops, reductions (sum, min, max, prod, nan-variants), broadcasting, strided views. Designed to pair with adder for numpy-style Python code; standalone JS API also available.

Part of Auditable. Architecture notes at NATRA.md.

Pre-1.0 — APIs may break on minor version bumps.

Install

npm install @gcu/natra @gcu/atra

Usage

import { natra } from '@gcu/natra';

const nx = await natra({ pages: 256 });
const a = nx.array([1, 2, 3, 4]);
const b = nx.array([10, 20, 30, 40]);
nx.add(a, b);          // [11, 22, 33, 44]
nx.sum(a);             // 10
nx.reshape(nx.arange(12), [3, 4]);

Adder integration (numpy-style)

import '@gcu/natra/adder';   // registers with adder's import hook
// Now in an adder cell: `import numpy as np` — resolves to natra.

License

MIT.