inky

fn transliterate(ogham: &str) -> String {
    ogham.chars().filter_map(|token| match token {
        ' ' => Some(" "),
        'ᚁ' => Some("B"),
        'ᚂ' => Some("L"),
        'ᚃ' => Some("F"),
        'ᚄ' => Some("S"),
        'ᚅ' => Some("N"),
        'ᚆ' => Some("H"),
        'ᚇ' => Some("D"),

inky

#!/usr/bin/env python3
import argparse
import string
import sys

def rotate(letters, offset):
    return letters[offset:] + letters[:offset]

def cipher(message, map_dict):
    return ''.join(map_dict.get(c, c) for c in message)

inky

#!/usr/bin/env python3
import argparse
import string
import sys

CHARS = ("🇦", "🇧", "🇨", "🇩", "🇪", "🇫", "🇬", "🇭", "🇮", "🇯", "🇰", "🇱", "🇲",
         "🇳", "🇴", "🇵", "🇶", "🇷", "🇸", "🇹", "🇺", "🇻", "🇼", "🇽", "🇾", "🇿")

OFFSET = ord('A')

inky

ᚳᛁ	ᛉᛁ	ᛋᛁ
ᛏᛁ	ᛞᛁ	ᛚᛁ
ᛈᛁ	ᛒᛁ	ᚠᛁ

ᚳᚫ	ᛉᚫ	ᛋᚫ
ᛏᚫ	ᛞᚫ	ᛚᚫ
ᛈᚫ	ᛒᚫ	ᚠᚫ

ᚳᚩ	ᛉᚩ	ᛋᚩ
ᛏᚩ	ᛞᚩ	ᛚᚩ

inky

#!/usr/bin/env python
"""
This script aims to make it a little easier to work with ConceptNet
relationships using the raw data available. It extracts all of the semantic
relationships for English terms, and saves the results to multiple JSON files
-- one for each letter in the alphabet.

As of Jan 2015, this will require about 9 GB of disk space:

    * conceptnet5_flat_json_5.3.tar.bz2 is 644 MB compressed,

inky

#!/usr/bin/env python
# encoding: utf-8
"""
Random Scrabble tiles!

"""
from __future__ import unicode_literals

from random import shuffle

inky

    bot.scheduler.every '1h', :first_in => '1s' do
      bot.log "Start unfollowing"
      bot.twitter.friend_ids.each do |friend_id|
        bot.log "Will unfollow ##{friend_id}"
        begin
          bot.twitter.unfollow(user_id=friend_id)
        rescue Twitter::Error::TooManyRequests => error
          bot.log "Rate limit exceeded; will stop unfollowing for now"
          return
        rescue Exception => error

inky

def str_to_binary(a_string):
    return ' '.join(format(ord(c), 'b').zfill(8) for c in a_string)

def ello_string(a_string):
    return str_to_binary(a_string).replace('0', 'O').replace('1', 'L')

print ello_string('ello orld')

inky

import os

import twitter  # pip install twitter

def post_tweet(text):
    assert len(text) <= 140, 'tweet is too long'
    auth = twitter.OAuth(os.environ['TWITTER_USER_TOKEN'],
                         os.environ['TWITTER_USER_SECRET'],
                         os.environ['TWITTER_API_KEY'],
                         os.environ['TWITTER_API_SECRET'])

inky

function __inky_tmux_attach()
{
    [ -n "$1" ] && session=$1 || session=main
    tmux attach-session -d -t "$session" || tmux new-session -s "$session"
}
alias s='__inky_tmux_attach'