This gist is deprecated in favor of https://github.com/ninenines/cowboy/blob/master/doc/src/guide/specs.asciidoc which has a formatted version at https://ninenines.eu/docs/en/cowboy/2.0/guide/specs/
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defmodule Config do | |
@moduledoc """ | |
This module handles fetching values from the config with some additional niceties | |
""" | |
@doc """ | |
Fetches a value from the config, or from the environment if {:system, "VAR"} | |
is provided. | |
An optional default value can be provided if desired. |
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defmodule TestDefp do | |
defmacro __using__(_) do | |
quote do | |
import Kernel, except: [defp: 2] | |
end | |
end | |
# Let's redefine `defp/2` so that if MIX_ENV is `test`, the function will be | |
# defined with `def/2` instead of `defp/2`. | |
defmacro defp(fun, body) do |
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defmodule Life do | |
# Defaults to B3/S23 | |
defstruct cells: [[]], born: [3], stays: [2, 3], width: 10, height: 10, step: 0 | |
def run(file) do | |
file |> read_file |> loop | |
end | |
def loop(life) do |
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defmodule Mastermind do | |
defstruct rounds: 10, choices: 6, answer: nil, guesses: [] | |
def start, do: game_loop %Mastermind{} | |
defp game_loop(game = %Mastermind{answer: nil}) do | |
game | |
|> start_computer_mastermind | |
|> game_loop |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
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# You will need the pygments and xclip packages | |
# This example highlights some Bash source code | |
# '-O noclasses=true' tells pygments to embed colors inline in the source | |
# the '-t text/html' option tells xclip what "target" to specify for the selection | |
pygmentize -l bash -f html -O noclasses=true mysource.sh | xclip -selection clipboard -t text/html |
THIS GIST WAS MOVED TO TERMSTANDARD/COLORS
REPOSITORY.
PLEASE ASK YOUR QUESTIONS OR ADD ANY SUGGESTIONS AS A REPOSITORY ISSUES OR PULL REQUESTS INSTEAD!
- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
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var http = require('http'); | |
var send = require('send'); | |
var urlParse = require('url').parse; | |
var count = 2; | |
var server = http.createServer(function (req, res) { | |
if (!--count) server.close(); // Only allow two connection and then exit. | |
send(req, urlParse(req.url).pathname) | |
.root(__dirname) | |
.pipe(res); |
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