port19x

#!/bin/sh
a=$(date +%d.%m.%y)
du -shc "$HOME/git" "$HOME/doc" "$HOME/dotfiles" "$HOME/pic" "$HOME/.ssh" "$HOME/Passwords.kdbx"
printf "Is the backup small enough? (CTRL-C otherwise)"
read
echo "$a: initiating backup"
cd
mkdir "$a"
cp -r "git" "doc" "dotfiles" "pic" ".ssh" "Passwords.kdbx" "$a"
tar c -I"zstd -19 -T0" -f "$a.tar.zst" "$a"

port19x

port19x

I'm kinda annoyed with the emacs tempo library I currently use and don't want a separate config file that would be necessary to use emacs tempel. So I'm just publishing my templates here for copy pasta / macro bootstrapping for the next paper.

Online Reference

@online{,
  author = "",
  title = "",
  url = "",

port19x

CC0 1.0 Universal

Statement of Purpose

The laws of most jurisdictions throughout the world automatically confer
exclusive Copyright and Related Rights (defined below) upon the creator and
subsequent owner(s) (each and all, an "owner") of an original work of
authorship and/or a database (each, a "Work").

Certain owners wish to permanently relinquish those rights to a Work for the

port19x

Just a small function I just added to my zshrc.

Preview

Code

global() {

port19x

./.access should have 400 permissions and should contain dns_digitalocean_token = <redacted>

sudo pacman -S certbot-dns-digitalocean
sudo certbot certonly --dns-digitalocean --dns-digitalocean-credentials ./.access -d '*.hsnipe.moe' -d 'hsnipe.moe'
sudo cat /etc/letsencrypt/live/hsnipe.moe/privkey.pem /etc/letsencrypt/live/hsnipe.moe/cert.pem > haproxy.pem
scp haproxy.pem root@hsnipe.moe:/mnt/

Rest of configuration is done on server side / infra code

port19x

{
   "theme":"nord",
   "themeLight":"serika",
   "themeDark":"serika_dark",
   "autoSwitchTheme":false,
   "customTheme":false,
   "customThemeColors":[
      "#323437",
      "#e2b714",
      "#e2b714",

port19x

local set = vim.opt
set.number=true
set.relativenumber=true
set.shiftwidth=4
set.tabstop=4
set.softtabstop=4

port19x

import july
from july.utils import date_range
import matplotlib.pyplot as plt

dates = date_range("2022-01-01", "2022-12-31")
a = [0]

data = a*2 + [21] + a*16 + [22] + a*10 + [23] + a*4 + [24] + a*9 + [23] + a + [32] + a*3 + [19] + a*2 + [24] + a*3 + [40] + a*13 + [21] + a*6 + [22] + [24] + a*2 + [21] + a*4 + [22] + a*17 + [22] + a*3 + [28] + a*2 + [21] + a*3 + [34] + a*2 + [22] + a + [22] + a + [26] + a + [23] + a*3 + [21] + a*4 + [22] + a*2 + [19] + a*11 + [24] + 2*a + [70] +  a*6 + [22] + a*3 + [22] + a*3 + [23] + a + [21] + [20] + [23] + [22] + a*2 + [21] + [21] + a + [20] + a*20 + [20] + a*4 + [21] + a*47 + [18] + a*12 + [20] + a*28 + [20] + a*4 + [40] + a*4 + [28] + a + [24] + a*2 + [22] + a + [20] + a*4 + [22] + [22] + a*9 + [22] + [22] + a + [22]

july.heatmap(dates, data, title="Joglog", month_grid=True, cmap="github")