mberman84

# must have conda installed
git clone https://github.com/joonspk-research/generative_agents.git
cd generative_agents
# open visual studio code, open gen agents folder
# within vscode, go to reverie/backend_server
# create new file utils.py
# copy/paste contents from github (below)

###
# Copy and paste your OpenAI API Key

ryanflorence

function useIsPendingPathname(to) {
  let { location } = useTransition();
  let { pathname } = useResolvedPath(to);
  return location?.pathname === pathname;
}

function useIsSlowTransition(ms = 300) {
  let transition = useTransition();
  let [isSlow, setIsSlow] = useState(false);

sindresorhus

Pure ESM package

The package that linked you here is now pure ESM. It cannot be require()'d from CommonJS.

This means you have the following choices:

1. Use ESM yourself. (preferred)
   Use import foo from 'foo' instead of const foo = require('foo') to import the package. You also need to put "type": "module" in your package.json and more. Follow the below guide.
2. If the package is used in an async context, you could use await import(…) from CommonJS instead of require(…).
3. Stay on the existing version of the package until you can move to ESM.

akihikodaki

Linux Desktop on Apple Silicon in Practice

I bought M1 MacBook Air. It is the fastest computer I have, and I have been a GNOME/GNU/Linux user for long time. It is obvious conclusion that I need practical Linux desktop environment on Apple Silicon.

Fortunately, Linux already works on Apple Silicon/M1. But how practical is it?

• Two native ports exist.

smpnjn

// Create a plane, and pass that through to our shaders
let geometry = new THREE.PlaneGeometry(600, 600, 100, 100);
let material = new THREE.ShaderMaterial({
    // These uniform variables can be adjusted in JS and are passed into the shader
    // After that they are passed into the GPU and rendered. You can alter these values
    // and change them through the mesh i.e. mesh.material.uniforms.u_height.value = x
    uniforms: {
        u_lowColor: {type: 'v3', value: low },
        u_highColor: {type: 'v3', value: high },
        u_time: {type: 'f', value: 0},

alexandernl

<?php

// set the output-file
$outputfile = "/var/www/nyt/nyt.jpg";

// set path to todays NYT frontpage
$pathToPdf="https://static01.nyt.com/images/".date('Y')."/".date('m')."/".date('d')."/nytfrontpage/scan.pdf";

// check if there is any today
$file_headers = @get_headers($pathToPdf);

tamuhey

How to calculate the alignment between BERT and spaCy tokens effectively and robustly

site: https://tamuhey.github.io/tokenizations/

Natural Language Processing (NLP) has made great progress in recent years because of neural networks, which allows us to solve various tasks with end-to-end architecture. However, many NLP systems still require language-specific pre- and post-processing, especially in tokenizations. In this article, I describe an algorithm that simplifies calculating correspondence between tokens (e.g. BERT vs. spaCy), one such process. And I introduce Python and Rust libraries that implement this algorithm. Here are the library and the demo site links:

• repo: https://github.com/tamuhey/tokenizations

tomhicks

/*
Copy this into the console of any web page that is interactive and doesn't
do hard reloads. You will hear your DOM changes as different pitches of
audio.

I have found this interesting for debugging, but also fun to hear web pages
render like UIs do in movies.
*/

const audioCtx = new (window.AudioContext || window.webkitAudioContext)()

keimlink

nvm vs Volta

A comparison of nvm and Volta to manage Node.js projects (without Yarn).

Bootstrap Project with nvm

nvm install

mfellner

import { ApolloServer, gql } from 'apollo-server-micro';

const typeDefs = gql`
  type Query {
    sayHello: String
  }
`;

const resolvers = {
  Query: {