mboeh

class NoiseCensor
  def initialize(chars = "&^%@*#")
    @noise = chars.split(//).shuffle.cycle
  end

  def censor(text)
    @noise.take(text.length).join
  end
end

mboeh

# https://en.wikipedia.org/wiki/Damm_algorithm

module Damm
  extend self

  OP_TABLE = [
    [0, 3, 1, 7, 5, 9, 8, 6, 4, 2],
    [7, 0, 9, 2, 1, 5, 4, 8, 6, 3],
    [4, 2, 0, 6, 8, 7, 1, 3, 5, 9],
    [1, 7, 5, 0, 9, 8, 3, 4, 2, 6],

mboeh

use std::io;
use std::io::BufRead;

mod luhn {
    pub fn luhn(cardn: &str) -> bool {
        let chars : Vec<char> = cardn.chars().collect();
        let mut sum = 0;
        let len = chars.len();

        for ridx in 1..=len {

mboeh

class Circuit

  class OKResult

    def initialize(value)
      @value = value
    end

    def if_break(&blk)
      self

mboeh

require 'benchmark'
require "benchmark/memory"

N = 10_000_000

nonlazy   = ->{ (1..N)     .select(&:even?).map{|i| i*2 }.map{|i| i + 1 }.map(&:to_s).map(&:reverse).to_a.join(",").length }
lazy      = ->{ (1..N).lazy.select(&:even?).map{|i| i*2 }.map{|i| i + 1 }.map(&:to_s).map(&:reverse).to_a.join(",").length }
one       = ->{
  (1..N).each_with_object([]) do |i,a|
    if i.even?

mboeh

"Half A Life" (4x22)

Blurb

Troi's mom nails a cuddly science bear from the Kevorkian sector.

Splash

http://tng.trekcore.com/hd/albums/season-4/4x22/half-a-life-hd-239.jpg

mboeh

puts "Ruby version: #{RUBY_VERSION}"

def show_a_sym(sym)
  puts "sym #{sym} = #{sym.object_id}"
end

def pick_a_sym
  a = (1..100_000).map{|s| :"dummy-#{s}" }
  sym = a.sample
  show_a_sym sym 

mboeh

extern crate astar; // from https://github.com/mboeh/astar.git

use std::vec::MoveItems;

#[deriving(Eq)]
#[deriving(Hash)]
struct Room<'a> {
    id: int,
    difficulty: int,
    exits: Vec<&'a Room<'a>>

mboeh

#include <stdio.h>
#include <stdint.h>

extern int32_t twice(int32_t, int32_t(*)(int32_t));

int32_t dbl(int32_t x) {
    /* x = arbitrary number here */
    return x+x; 
}

mboeh

FROM ubuntu:latest

RUN apt-get update -y
RUN apt-get install -y build-essential libgmp10-dev curl
RUN curl -s -L http://downloads.sourceforge.net/project/mlton/mlton/20130715/mlton-20130715-1.amd64-linux.tgz | zcat - | tar x

WORKDIR /home
VOLUME /home