trvswgnr

#!/bin/sh

print_usage() {
    echo "usage: compress_video <input_file>"
    echo "supported formats: mp4, webm, mkv, mov, avi, flv"
}

get_extension() {
    f="${1##*/}"
    case "$f" in

ericclemmons

# https://github.com/dependabot/fetch-metadata#enabling-auto-merge
name: Auto-merge Dependabot

on: pull_request_target

permissions:
  pull-requests: write
  contents: write

jobs:

OrionReed

// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks.
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/)
(() => {
  const SHOW_SIDES = false; // color sides of DOM nodes?
  const COLOR_SURFACE = true; // color tops of DOM nodes?
  const COLOR_RANDOM = false; // randomise color?
  const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com)
  const MAX_ROTATION = 180; // set to 360 to rotate all the way round
  const THICKNESS = 20; // thickness of layers
  const DISTANCE = 10000; // ¯\\_(ツ)_/¯

KristofferEriksson

import { useEffect, useState } from "react";

type UseTextSelectionReturn = {
  text: string;
  rects: DOMRect[];
  ranges: Range[];
  selection: Selection | null;
};

const getRangesFromSelection = (selection: Selection): Range[] => {

rauchg

#!/usr/bin/env bash
function p() {
	jq -n \
		--arg content "$*" \
		'{
      "model": "pplx-7b-online",
      "messages": [
        {
          "role": "system",
          "content": "Be precise and concise."

vgel

# pip install beautifulsoup4 requests markdownify mistletoe

# command line usage: python chunkpaper.py 'https://ar5iv.org/abs/1910.06709'
# will dump the HTML, Markdown, and finally the chunk JSON
# note that (as of Nov 8 '23) ar5iv only has arxiv papers converted up to the end of October,
# but if you need something more recent you could probably do the LaTeX→HTML conversion yourself

# library usage: call `chunk` with some ar5iv HTML. will probably choke on anything else

import dataclasses

giuseppeg

// Adapted from https://github.com/go717franciswang/peerjs-chatroom

const CLIENT_MSG = {
  CHAT: 1,
  GET_MEMBERS: 2,
};

const SERVER_MSG = {
  CHAT: 1,
  MEMBERS: 2,

souporserious

import glob from 'fast-glob'
import { build } from 'esbuild'
import { Project } from 'ts-morph'

const project = new Project({
  compilerOptions: {
    outDir: 'dist',
    emitDeclarationOnly: true,
  },
  tsConfigFilePath: './tsconfig.json',

oieduardorabelo

PORT=xxx
COGNITO_USER_POOL_ID=xxx
COGNITO_CLIENT_ID=xxx
COOKIE_SESSION_SECRET=xxx
COOKIE_SESSION_NAME=xxx
AWS_REGION=xxx
AWS_ACCESS_KEY_ID=xxx
AWS_SECRET_ACCESS_KEY=xxx

jaredpalmer

import {MDXProvider} from '@mdx-js/react';
import {MDXComponents} from 'components/MDX/MDXComponents';
import {Toc} from 'components/Toc/Toc';
import * as React from 'react';

export interface MarkdownProps<Frontmatter> {
  meta: Frontmatter;
  children?: React.ReactNode;
}