tsujigiri

class NilClass
  def method_missing(*_)
    nil
  end
end

tsujigiri

Keybase proof

I hereby claim:

• I am tsujigiri on github.
• I am tsujigiri (https://keybase.io/tsujigiri) on keybase.
• I have a public key ASDoZj7EcveL5TUa3vaetTsx6AoCApMZf1n24-gWdeBPugo

To claim this, I am signing this object:

tsujigiri

IO.popen("tail -F -n 0 #{path}") do |file|
  while true
    line = file.readline
    # do stuff with line
  end
end

tsujigiri

# Maintainer: Helge Rausch <helge@rausch.io>
# This script is licensed under the MIT license.
# https://gist.github.com/tsujigiri/5476281
#
## Installation
#
# To install the Leap software, you first need to download the SDK for Linux
# from https://developer.leapmotion.com/downloads/leap-motion/sdk using your
# developer account. Unpack it, place the included .deb files in the same
# directory as this PKGBUILD and run `makepkg`. If all goes well this will

tsujigiri

# Calculates the German income tax from the taxable income ("zu versteuerndes
# Einkommen"). Valid for 2010-2012.
function est (zvE)
if (zvE < 8005)
	0
elseif (zvE < 13470)
	y = (zvE - 8004) / 10000;
	(912.17 * y + 1400) * y
elseif (zvE < 52882)
	y = (zvE - 13469) / 10000;

tsujigiri

#!/usr/bin/env ruby
# encoding: utf-8

require 'date'
require 'curb'
require 'nokogiri'

begin
  curl = Curl::Easy.perform('http://mirror.fem-net.de/CCC/29C3/mp4-h264-HQ/')
  html = Nokogiri::HTML.parse(curl.body_str)

tsujigiri

" Vim color file
" Maintainer:   David Liang (bmdavll at gmail dot com)
" Last Change:  November 28 2008
"
" wombat256.vim - a modified version of Wombat by Lars Nielsen that also
" works on xterms with 88 or 256 colors. The algorithm for approximating the
" GUI colors with the xterm palette is from desert256.vim by Henry So Jr.

set background=dark

tsujigiri

-module(quicksort).
-export([quicksort/2]).

quicksort(List, SpawnFactor) when SpawnFactor > 0 ->
	Self = self(),
	Child = spawn(fun() -> quicksort(Self, List, SpawnFactor) end),
	receive
		{Child, SortedList} -> SortedList
	end.

tsujigiri

-module(benchmark).
-export([call_n_times/4]).

call_n_times(N, Module, Function, Args) ->
	call_n_times([], N, Module, Function, Args).

call_n_times(Data, 0, _, _, _) ->
	io:format("average: ~p us~n", [lists:sum(Data) / length(Data)]),
	io:format("fastest: ~p us~n", [lists:min(Data)]),
	io:format("slowest: ~p us~n", [lists:max(Data)]);

tsujigiri

file = File.open("some_file.txt", "r")
pos = file.size
file.pos = pos
while pos >= 0
  if file.readchar == "\n"
    line = file.readline
    # do something with line
  end
  pos -= 2
  file.pos = pos