clayadavis

Acer Chromebook 14 (CB3-431) — Linux Mint XFCE Post-Install Checklist

Packages to Remove

sudo apt remove thunderbird hexchat libreoffice*
sudo apt autoremove && sudo apt clean

Boot Optimizations

clayadavis

Install Ubuntu Server

Custom storage layout

We want to have a separate ext4 boot partition because Ubuntu's grub doesn't really like booting from btrfs. So we have something like

MOUNT POINT  SIZE  TYPE
/            474G  new btrfs
/boot          2G  new ext4
/boot/efi      1G  existing vfat

clayadavis

import sys
import io


def _text_encoding(encoding, stacklevel=2, /):  # pragma: no cover
    return encoding


try:
    text_encoding = io.text_encoding

clayadavis

const d6 = () => String.fromCodePoint(0x2680 + Math.floor(Math.random() * 6))

function d6() {
  const faceIdx = Math.floor(Math.random() * 6);
  const codePoint = 0x2680 + faceIdx;
  return String.fromCodePoint(codePoint)
}

clayadavis

body {
  background-size: 40px 40px;
  background-image:
    linear-gradient(to right, lightblue 1px, transparent 1px),
    linear-gradient(to bottom, lightblue 1px, transparent 1px);
}

clayadavis

import math

def entropy(vec):
    norm = sum(vec)
    p = (x / norm for x in vec)
    return -sum(p_k * math.log(p_k) for p_k in p if p_k)

import numpy as np

def entropy(p):

clayadavis

function stringTruncator (numChars, buffer) {
  buffer = buffer || 3
  return function (str) {
    return function (str) {
      let cutoff = str.slice(0, numChars).lastIndexOf(' ')
      if (cutoff === -1) cutoff = numChars
      str = str.slice(0, cutoff) + '…'
    }
    return str
  }

clayadavis

from collections import namedtuple

DataRow = namedtuple('DataRow', ['header', 'data'])

def flatten_botometer_result(result):
    '''
    Flattens a botometer response object.

    Parameters:
        result: A botometer result object

clayadavis

#!/bin/bash
set -uo pipefail
IFS=$'\n\t'

if [[ $# -eq 0 ]]; then
    echo "usage: $0 <target_directory>"
    exit 1
fi
TARGET_DIR=$1

clayadavis

def lrange_iter(r, key, N_max=None, step=10**5):
    if N_max is None:
        starts = itertools.count(step=step)
    else:
        starts = range(0, N_max, step)

    for start in starts:
        end = start + step - 1
        if N_max is not None:
            end = min(end, N_max - 1)