g-simmons

  #let card(cardname) = {
    let (card, suit) = cardname.split(" of ")
    let suits = (
      "hearts": sym.suit.heart,
      "diamonds": sym.suit.diamond,
      "clubs": sym.suit.club,
      "spades": sym.suit.spade,
    )
    let suit_colors = (
      "hearts": "red",

g-simmons

function onOpen() {
  var ui = DocumentApp.getUi();
  ui.createMenu('Custom Menu')
    .addItem('Set Indentation and Font Size', 'setIndentationAndFontSize')
    .addToUi();
}

function setIndentationAndFontSize() {
  // var doc = DocumentApp.getActiveDocument();
  var doc = DocumentApp.openById('<<<<YOUR-DOCUMENT-ID>>>>');

g-simmons

import yaml
from itertools import product, starmap
from collections import namedtuple
import click

judgement_styles = [1, 2, 3, 4, 5]
groups = ["liberal", "conservative"]


def named_product(**items):

g-simmons

import yaml
from itertools import product, starmap
from collections import namedtuple
import click

judgement_styles = [1, 2, 3, 4, 5]
groups = ["liberal", "conservative"]


def named_product(**items):

g-simmons

Use apt to install the necessary packages:

sudo apt install -y slurm-wlm slurm-wlm-doc

Load file:///usr/share/doc/slurm-wlm/html/configurator.html in a browser (or file://wsl%24/Ubuntu/usr/share/doc/slurm-wlm/html/configurator.html on WSL2), and:

1. Set your machine's hostname in SlurmctldHost and NodeName.
2. Set CPUs as appropriate, and optionally Sockets, CoresPerSocket, and ThreadsPerCore. Use command lscpu to find what you have.
3. Set RealMemory to the number of megabytes you want to allocate to Slurm jobs,
4. Set StateSaveLocation to /var/spool/slurm-llnl.
5. Set ProctrackType to linuxproc because processes are less likely to escape Slurm control on a single machine config.

g-simmons

import numpy as np
from joblib import Parallel, delayed
from threading import Thread
from rich.progress import Progress, BarColumn, TimeRemainingColumn, TextColumn
from rich.console import Console
from rich.live import Live
import time

# Define the number of tasks and create a shared memory numpy array to hold their progress
num_tasks = 4

g-simmons

g-simmons

#!/usr/bin/python
# -*- coding: utf-8 -*-

def xpath_soup(element):
    # type: (typing.Union[bs4.element.Tag, bs4.element.NavigableString]) -> str
    """
    Generate xpath from BeautifulSoup4 element.

    :param element: BeautifulSoup4 element.
    :type element: bs4.element.Tag or bs4.element.NavigableString