snoyberg

#![feature(generic_associated_types)]
#[allow(dead_code)]

trait Functor {
    type Unwrapped;
    type Wrapped<B>: Functor;

    fn map<F, B>(self, f: F) -> Self::Wrapped<B>
    where
        F: FnMut(Self::Unwrapped) -> B;

vi

Let's list here crates that enhance Rust as a language.

It not "batteries" like in stdx, but Rust-specific crates for workarounds for various missing features and experimental ideals from non-accepted/postponed RFCs, or just hacky tricks.

The list is supposed to contain (mostly) crates that are internal to Rust, not ones for making Rust deal with "external world" like other languages bindings, file formats, protocols and so on.

Primary focus should be on crates that are not easy to find by conventional means (e.g. no algorithm name, format or protocol to search for).

Note that quality of the listed crates may vary from proof-of-concept to stable-and-widely-used.

jam1garner

This is a mini-tutorial of sorts for getting started with gdb on the Switch, with the target audience being people who want to mod and/or reverse games, with no prerequisite knowledge of gdb. The goal will be to walk you through some of the basic workflows needed to use a debugger on the Switch, while being brief enough for skimming for when you forget things.

If some part is unclear, your OS doesn't have install instructions, or you feel part of your workflow should be added here, feel free to comment any additions.

(If you only need a quick reference Jump to the Appendix)

Installing GDB

First off you'll need a version of GDB compatible with aarch64. This can be obtained via either a distribution of

benjcal

#ifndef H_SDLSIMPLE
#define H_SDLSIMPLE

#include <SDL2/SDL.h>
#include <stdbool.h>
#include <stdio.h>

// defines
typedef struct sdlsimple_events_t {
	bool quit;

ITotalJustice

#include <switch.h>
#include <cstdlib>
#include <cstring>
#include <cstdio>
#include <cstdarg>
#include <vector>
#include <memory>
#include <bit>
#include <experimental/scope>

3outeille

#VERBOSE=0 torchrun --nproc_per_node 3 self_contained_pp_LOC.py
import os, random, numpy as np, torch, torch.nn as nn, torch.distributed as dist, torch.nn.functional as F
from torch.optim import AdamW
from torch.utils.data import DataLoader, DistributedSampler
from datasets import load_dataset
from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer

STEP, local_rank, world_size, verbose = 0, int(os.environ["LOCAL_RANK"]), int(os.environ["WORLD_SIZE"]), os.environ.get("VERBOSE", "0") == "1"

def set_all_seed(seed):

sukhbinder

# /// script
# dependencies = [
#   "requests",
# ]
# ///

import requests
import json
import sys
from threading import Thread

rougier

;; nano-emacs.el --- NANO Emacs (minimal version)     -*- lexical-binding: t -*-

;; Copyright (c) 2025  Nicolas P. Rougier
;; Released under the GNU General Public License 3.0
;; Author: Nicolas P. Rougier <[email protected]>
;; URL: https://github.com/rougier/nano-emacs

;; This is NANO Emacs in 256 lines, without any dependency 
;; Usage (command line):  emacs -Q -l nano.el -[light|dark]