solarkraft

# This script automatically handles Syncthing conflicts on text files by applying a
# git three-way merge between the previously synced version and each divergent version.

# It depends on the watchdog package and git.

# For automatic dependency installation when running with ´uv run --script deconflicter.py´:
# /// script
# requires-python = ">=3.10"
# dependencies = [
#     "watchdog",

veekaybee

ChatGPT Resources

Context

ChatGPT appeared like an explosion on all my social media timelines in early December 2022. While I keep up with machine learning as an industry, I wasn't focused so much on this particular corner, and all the screenshots seemed like they came out of nowhere. What was this model? How did the chat prompting work? What was the context of OpenAI doing this work and collecting my prompts for training data?

I decided to do a quick investigation. Here's all the information I've found so far. I'm aggregating and synthesizing it as I go, so it's currently changing pretty frequently.

Model Architecture

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.

rmcdongit

macOS 10.15 System Preference Panes

Below are a list of System Preference pane URLs and paths that can be accessed with scripting to assist users with enabling macOS security settings without having to walk them through launching System Preferences, finding panes, and scrolling to settings. Not all panes have an accessible anchor and some are OS specific.

To find the Pane ID of a specific pane, open the System Preferences app and select the desired Preference Pane. With the pane selected, open the ScriptEditor.app and run the following script to copy the current Pane ID to your clipboard and display any available anchors:

tell application "System Preferences"
	set CurrentPane to the id of the current pane
	set the clipboard to CurrentPane

Pyronerd62

<style lang="scss" scoped>
.tinyMce-container{
    margin-top: 3%;
    margin-bottom: 3%;
}
</style>
<template> 
    <div> 
        <pre v-html="description"></pre>  
        <editor v-model="description"></editor>   

jaredly

module StringContext =
  Context.MakePair({
    type t = string;
    let defaultValue = "Awesome";
  });

let component = ReasonReact.statelessComponent("Tree");

let make = _children => {

lsapan

Using Vue CLI to start a Vue frontend for use with a Django backend

Note: This guide has been updated for use with @vue/cli version 4! Please make sure you're using the latest version of @vue/cli.

When it comes to starting new Vue projects, you can't really beat Vue CLI. The Vue team has done a phenomenal job of making an easy-to-use tool for getting started with reasonable defaults. If you're using Django though, you may not have the easiest time getting its static system and webpack to play well together.

A good chunk of this is applicable to any webpack-compiled frontend and Django, but we'll focus specifically on the steps involved with Vue CLI.

As a quick heads up: this tutorial assumes you're creating your Vue project in a folder named frontend inside of your Django project folder. If you want it named something else, or want it in a different folder, just update the paths accordingly.

busypeoples

let str = ReasonReact.string;

let url = "http://localhost:3000/users";

type user = {
  id: int,
  name: string,
};

type state =

Khady

{
  "json.schemas": [
    {
      "fileMatch": [
        "bsconfig.json"
      ],
      "url": "https://bucklescript.github.io/bucklescript/docson/build-schema.json"
    }
  ]
}

dfee

from collections import OrderedDict

import graphene
import rx


subject = rx.subjects.Subject()


class Author(graphene.ObjectType):