Date: 2026-05-29
Status: Proposal
Author: Generated from research on all 8 Elastic client generators
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| #!/usr/bin/env python3 | |
| # Linux-compatible clone of Quitter for Mac https://marco.org/apps#quitter | |
| # implementation inspired by: https://github.com/acenturyandabit/mini-miza/blob/master/autohide.py | |
| import subprocess | |
| import time | |
| import os | |
| apps = { |
- A$AP Ferg: Trap Lord
- Aldous Harding: Designer
- Angel Olsen: MY WOMAN
- Antony & the Johnsons: Cut the World
- Arcade Fire: The Suburbs
- Arranged Marriage NP: Arranged Marriage NP
- Astronoid: Air
- Atoms for Peace: AMOK
- Beach House: Bloom
- Beach House: Teen Dream
- Log into Twitter and go to your settings
- Request your Twitter archive
- Download and unzip the archive file
- Put
tweets.csvin the same directory as this gist'spackage.jsonandmarkov-tweets.jsfiles - Run
npm installto install dependencies - Run
node markov-tweets.jsto generate some strings!
Running the script may take a few seconds depending on the size of your archive CSV. When it's done it will log out 20 random strings based on the Markov chain generated.
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| { | |
| "presets": ["es2015", "react"], | |
| "ignore": ["node_modules"] | |
| } |
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| <!DOCTYPE HTML> | |
| <html> | |
| <head> | |
| <style type="text/css" media="all"> | |
| #main { | |
| width: 300px; | |
| height: 400px; | |
| overflow: scroll; | |
| } |
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| #!/usr/bin/python | |
| # put this in in a file in your Pi's /etc/init.d/ directory | |
| import urllib2 | |
| import subprocess | |
| import smtplib | |
| from email.mime.text import MIMEText | |
| import datetime |
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| (defn calc-height-step [height current-step] | |
| (if (= 1 (mod current-step 2)) | |
| (* height 2) | |
| (+ height 1))) | |
| (defn calc-height [] | |
| (def steps (Integer/parseInt (read-line))) | |
| (println (reduce calc-height-step 1 (range 1 (+ steps 1))))) | |
| (def t (Integer/parseInt (read-line))) |
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