jedi4ever

#!/usr/bin/env bash

# !!! This script may overwrite your current config. Don't blindly execute !!!

# Script to automate Claude Code after installation
# install via `npm install -g @anthropic-ai/claude-code`

# Key features:
# - gets the onboarding wizard out of the way
# - configure API keys

kprotty

const M = 12; // Probability scale for rANS state. Symbol frequencies in this log range. Usually 8-12.
const L = 23; // Renormalization factor to control dumping rANS state to bitstream. From rans_byte.h.
const m_min = 8 - 2 - (std.math.divCeil(u32, M, 4) catch unreachable); // Small-size-opt limit when compressing frequencies.
const m_max = [_]u16{m_min, m_min+16, m_min+16+256, m_min+16+256+4096, 1<<M}; // Size ranges for frequencies after small size limit.

fn compress(dst: anytype, src: []const u8) !void {
    // Histogram for the frequency of each byte in input.
    var hist = [_]u32{0} ** 256;
    for (src) |byte| hist[byte] += 1;

phuslu

package bench

import (
	"testing"
)

func BenchmarkParseDeletionTimestamp(b *testing.B) {
	b.ReportAllocs()
	for i := 0; i < b.N; i++ {
		_, _ = ParseDeletionTimestamp(data)

younesbelkada

# pip install -U bitsandbytes
# pip install -U git+https://github.com/huggingface/transformers.git
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "mistralai/Mixtral-8x7B-Instruct-v0.1"
path_to_hub = XXX
tokenizer = AutoTokenizer.from_pretrained(model_id)

model = AutoModelForCausalLM.from_pretrained(model_id, load_in_4bit=True)
model.push_to_hub(path_to_hub)

X-TRON404

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

dustingetz

References — Electric Clojure

Electric Clojure implements a form of arrowized continuous time dataflow programming with extensions for network-transparent function composition.

• The Haskell School of Music: From Signals to Symphonies (2018) — best starting point and also a great intro to Haskell.
• The Essence of Dataflow Programming (2006) great category theory overview of dataflow programming; missing Applicative (2008), Free monad and Cofree comonad
• Push-pull functional reactive programming, Elliot (2009)
• Breaking down FRP, Jane Street (2014) — good concise comparision of many FRP aspects; missing discussion of discrete vs continuous
• [Compiling to Categories, Elliott (2017)](http

LintaoAmons

" ================================================================================================
" = Extensions =====================================
" ================================================================================================
Plug 'tpope/vim-surround'
Plug 'preservim/nerdtree'

" ================================================================================================
" = Basic settings =====================================
" ================================================================================================
set clipboard+=unnamed

adam2392

adam2392

treeform

# nim c -r --threads:on --gc:orc

import cpuinfo, os, random, locks, deques

type
  WorkReq = ref object
    id: int

  WorkRes = ref object
    id: int