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#!/bin/bash
# Save screenshot with timestamp to Desktop
filename="$HOME/Pictures/Screens/Screenshot_$(date +%Y-%m-%d_%H.%M.%S).png"
screencapture -i "$filename"

# Copy the new file to clipboard if it exists (only if you didn't cancel the screenshot)
if [ -f "$filename" ]; then
  osascript -e 'set the clipboard to (read (POSIX file "'"$filename"'") as TIFF picture)'
fi

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              #### ..# ####
          ## .  ..## ### #####.##
        ### # ##. ## .## .. ####.#
          ##.###.##.# ### ## ## ##_
           ####_#_  # ## ## -##__/
              ### \  # ##  ## ## #
                   |   v    /
                   |       |_#
            ##_____/   O   k_#k
           ##-_____        |

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# Copyright (c) Meta Platforms, Inc. and affiliates.
# This software may be used and distributed according to the terms of the GNU General Public License version 3.

#
# UPDATE from Shawn (Mar 5 @ 2:43 AM): Facebook disabled this URL. I've mirrored the files to an R2 bucket, which this script now points to.
#
#PRESIGNED_URL="https://dobf1k6cxlizq.cloudfront.net/*?Policy=eyJTdGF0ZW1lbnQiOlt7IlJlc291cmNlIjoiaHR0cHM6Ly9kb2JmMWs2Y3hsaXpxLmNsb3VkZnJvbnQubmV0LyoiLCJDb25kaXRpb24iOnsiRGF0ZUxlc3NUaGFuIjp7IkFXUzpFcG9jaFRpbWUiOjE2NzgzNzA1MjR9fX1dfQ__&Signature=a387eZ16IkmbotdkEl8Z397Mvxhw4Bvk4SpEiDkqMLOMVMk5F962BzN5eKO-061g5vAEskn-CSrf4w3knubwPiFW69LTsJ8Amj-WOvtBOBy9soc43j77WGUU-3q2eNjMIyNZYsD~rub4EkUJGNpD61YtRrFvAU7tNQ1YMNL5-UUOk1~OHeaWerWisKPldufOyX6QdrrjeToVH1L0eGm1Ob4LnoYyLH96BHFou4XsOUR8NuyQfwYtmE2G6P2eKk~OV9-ABzYHxC2DyOWiWnt7WO~ELHnf17s9qreQAjEkCGEi4pHJ7BIkg6~ZfRmvRl3ZaPtqD80AH4SfO4hd5WQ0ng__&Key-Pair-Id=K231VYXPC1TA1R"             # replace with presigned url from email

PRESIGNED_URL="https://agi.gpt4.org/llama/

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DB_FILE=example-2fa-db.txt

# use fuzzyfinder to search for which service to use
LINE="$(cut -d: -f1 $DB_FILE | fzf)"

# get the private key of line
AUTH_CODE="$(grep "^$LINE:" $DB_FILE | cut -d: -f2-)"

# print the temporary 2fa code
echo "$(oathtool -b --totp "$AUTH_CODE")"

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1
00:00:00,000 --> 00:00:08,780
Hello, everyone, and welcome to Module 10 of the Machine Learning course, which is about

2
00:00:08,780 --> 00:00:15,000
data generation or synthesis.

3
00:00:15,000 --> 00:00:21,000

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import {
  DragDropContext,
  Draggable,
  Droppable,
} from "react-beautiful-dnd";
import React, { useCallback, useMemo } from "react";
import { Menu } from "antd";

const renderMenuFn =
  (item, props) =>

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// translates dynamic-length hamming codes into raw data
function hamming(n) {
  const s = n.length
  let o = ""
  let errors = []
  for (let i = 1; i < s; i++) {
    const pw2 = !( i & (i - 1) ) // is power of two
    if (!pw2) {
      o += n[i]
    } else {

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import { Collapse } from "antd";
import React, { FC, PropsWithChildren } from "react";
import styles from "./styles.module.scss";

interface Props {
  expanded: boolean;
}
export const HeadlessCollapse: FC<PropsWithChildren<Props>> = ({
  expanded,
  children,