Bun
@bun.sh
3.6K followers 1 following 52 posts
Bun is a fast, all-in-one toolkit for installing, bundling, running and testing JavaScript & TypeScript. To install Bun: ``` curl bun.sh/install | bash -s ``` bun.sh
Bun is a fast, all-in-one toolkit for installing, bundling, running and testing JavaScript & TypeScript. To install Bun: ``` curl bun.sh/install | bash -s ``` bun.sh
![mport { run, bench } from "mitata";
// Assuming the vectors are of the same length
function cosineDistance(a, b) {
let dotProduct = 0;
let magA = 0;
let magB = 0;
for (let i = 0; i < a.length; i++) {
dotProduct += a[i] * b[i];
magA += a[i] * a[i];
magB += b[i] * b[i];
}
return 1 - dotProduct / (Math.sqrt(magA) * Math.sqrt(magB));
}
// Generate random data for testing
const dimensions = 1536; // Adjust dimensions as needed
const array1 = Array.from({ length: dimensions }, () => Math.random() * 100);
const array2 = Array.from({ length: dimensions }, () => Math.random() * 100);
const floatArray1 = new Float32Array(array1);
const floatArray2 = new Float32Array(array2);
bench("Array", () => {
cosineDistance(array1, array2);
});
bench("Float32Array", () => {
cosineDistance(floatArray1, floatArray2);
});
await run();
bun-latest array.mjs # New
clk: ~3.94 GHz
cpu: Apple M3 Max
runtime: bun 1.2.9 (arm64-darwin)
benchmark avg (min … max)
-------------------------------------------
Array 1.07 µs/iter 1.07 µs ▇▃ ▄█▂
(1.06 µs … 1.13 µs) 1.09 µs ▄██▆███▇▅▄▄▄▂▂▂▁▁▁▁▂▂
Float32Array 1.64 µs/iter 1.64 µs █
(1.46 µs … 1.68 µs) 1.67 µs ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁██▃▁
bun-1.2.8 array.mjs # Prev
clk: ~3.87 GHz
cpu: Apple M3 Max
runtime: bun 1.2.8 (arm64-darwin)
benchmark avg (min … max)
-------------------------------------------
Array 1.07 µs/iter 1.07 µs ▄ █▂
(1.06 µs … 1.11 µs) 1.10 µs ▅█▆▆██▄▄▅▂▁▁▁▂▂▁▁▁▁▁▁
Float32Array 13.52 µs/iter 13.50 µs █ █
(13.41 µs … 14.02 µs) 13.59 µs ██▁▁▁███▁██▁▁▁▁▁▁▁▁██
node array.mjs # Node, for comparison
clk: ~3.94 GHz
cpu: Apple M3 Max
runtime: node 23.10.0 (arm64-darwin)
benchmark avg (min … max)
-------------------------------------------
Array](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:76vf7xzncfaxw3m6qemqpmj4/bafkreia3vkwzkaofkvwt5tzghe3yqysdgn4dml276nfnn27i7f3rkad4wy)
