CoderCowMoo

// ==UserScript==
// @name         Make compass classes dark.
// @namespace    http://tampermonkey.net/
// @version      1.2
// @description  Because the css of compasses classes listing has "!important" in the 'background-color:' DarkReader won't work. This changes that.
// @author       CoderCowMoo
// @match        https://*.compass.education/
// @require      https://gist.github.com/raw/2625891/waitForKeyElements.js
// @icon         https://www.google.com/s2/favicons?domain=compass.education
// @grant        none

CoderCowMoo

# times to put in were gotten from Tabliss extension with messages @
# https://github.com/joelshepherd/tabliss/blob/main/src/plugins/widgets/greeting/messages.ts
h=`date +%H`
PREFNAME="Moo"
if [ $h -ge 0 -a $h -le 2 ]; then
  echo Sleep well, $PREFNAME | cowsay
elif [ $h -ge 3 -a $h -le 5 ]; then
  echo Rise and shine, $PREFNAME | cowsay
elif [ $h -ge 6 -a $h -le 9 ]; then
  echo Good morning, $PREFNAME | cowsay

CoderCowMoo

def main():
  for i in range(1, 101):
    if i % 15 == 0:
      print("Fizzbuzz")
      continue
    if i % 5 == 0:
      print("Buzz")
      continue
    if i % 3 == 0:
      print("Fizz")

CoderCowMoo

def main():
  for i in range(1, 101):
    if i % 15 == 0:
      print("Fizzbuzz")
      continue
    if i % 5 == 0:
      print("Buzz")
      continue
    if i % 3 == 0:
      print("Fizz")

CoderCowMoo

CoderCowMoo

import torch
import transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
from PIL import Image
import warnings

# disable some warnings
transformers.logging.set_verbosity_error()
transformers.logging.disable_progress_bar()
warnings.filterwarnings('ignore')

CoderCowMoo

import torch
import transformers
import gradio as gr
import PIL
from threading import Thread
from transformers import AutoTokenizer, AutoModelForCausalLM, TextIteratorStreamer
import warnings

# disable some warnings
transformers.logging.set_verbosity_error()

CoderCowMoo

import torch
import transformers
import gradio as gr
import PIL
from threading import Thread
from transformers import AutoTokenizer, AutoModelForCausalLM, TextIteratorStreamer
import warnings

# disable some warnings
transformers.logging.set_verbosity_error()

CoderCowMoo

# You take too many clips and its using up all your storage space?
# Don't know what to do?
# just save this file and make a .bat or shortcut file with the following content
# powershell.exe -NoExit -command "& 'C:\A path with spaces\watch_it.ps1' -filePath 'C:\Wherever you save videos'"
# you also have to edit below where the ffmpeg executable is.
# Geforce experience defaults to C:\Users\User\Videos
# This'll watch every directory there, and spawn a ffmpeg process for each video created, 

param(
    [Parameter(Mandatory=$true)][ValidateScript({ Test-Path -Path $_ })][string]$filePath

CoderCowMoo

import argparse
import sys
import os.path as path
import torch
import torch.nn as nn
from PIL import Image
from transformers import (
    AutoTokenizer,
    LlamaForCausalLM,
    BitsAndBytesConfig,