kevent with timeout = 0
rate 80986.22 nanos_op 12347
rate 81772.37 nanos_op 12229
rate 81650.72 nanos_op 12247
rate 81608.60 nanos_op 12253
rate 81304.12 nanos_op 12299
kevent64 with timeout = 0 and flags = 0
rate 81713.43 nanos_op 12237
rate 81648.45 nanos_op 12247| function getDatabase (name = 'ConversationsDatabase') { | |
| const req = window.indexedDB.open(name) | |
| return new Promise((resolve, reject) => { | |
| req.onsuccess = e => resolve(req.result) | |
| req.onerror = req.onabort = reject | |
| }) | |
| } | |
| function getAllKeys (db, collection = 'conversations') { | |
| const req = db.transaction([collection], 'readonly').objectStore(collection).getAllKeys() |
| FROM scratch | |
| ADD sea /sea | |
| CMD ["/sea"] |
setImmediatein node.js has a lot of overhead on macos compared to linux. attention was drawn to this in this tweet from jarred sumner.- in the referenced benchmark, node on macos was only able to achieve
80kticks per second of the event loop versus millions per second for Bun & Deno on macos - on linux, difference between node, Bun and Deno are much less significant
- the change implemented in Bun for MacOS uses the
KEVENT_FLAG_IMMEDIATEflag to create a fast return from the syscall when there is no pending io. - the flag in question is only available when using the
kevent64syscall on macos - libuv uses the
keventsyscall, which is common across bsd based platforms. - i built a version of node with [patches](https://github.com
| """ | |
| The most atomic way to train and inference a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
| import { api } from 'lib/sqlite/api.js' | |
| import { bindall, bind_custom } from 'lib/ffi.js' | |
| import { Bench } from 'lib/bench.js' | |
| const { assert, core, ptr, utf8_length } = lo | |
| const { dlopen, RTLD_NOW, RTLD_LOCAL } = core | |
| const sqlite_handle = assert(dlopen(lo.getenv('SQLITE_SO') || 'libsqlite3.so', RTLD_NOW | RTLD_LOCAL)) | |
| const sqlite = bindall(api, sqlite_handle) | |
| const u32 = ptr(new Uint32Array(2)) |
Configuring a development environment for Bun can take 10-30 minutes depending on your internet connection and computer speed. You will need ~10GB of free disk space for the repository and build artifacts.
If you are using Windows, please refer to this guide
A Nix flake is provided as an alternative to manual dependency installation:
nix develop{
type: "log",
args: [
{
type: "string",
value: "something interesting"
}
],
executionContextId: 1,hi, i'm daniel. i'm a 16-year-old high school senior. in my free time, i hack billion dollar companies and build cool stuff.
about a month ago, a couple of friends and I found serious critical vulnerabilities on Mintlify, an AI documentation platform used by some of the top companies in the world.
i found a critical cross-site scripting vulnerability that, if abused, would let an attacker to inject malicious scripts into the documentation of numerous companies and steal credentials from users with a single link open.
(go read my friends' writeups (after this one))
how to hack discord, vercel, and more with one easy trick (eva)
Redacted by Counsel: A supply chain postmortem (MDL)