collegeman

(function(T, api) {
  function log() {
    if (window.console) {
      window.console.log.apply(null, Array.prototype.slice.call(arguments));
    } else {
      api.prototype.log.apply(null, Array.prototype.slice.call(arguments));
    }
  }
  
  T.UI.getMainWindow().showInspector(true);

justinvoss

from deployment.cuisine import *
from fabric.api import *
from fabric.context_managers import *
from fabric.utils import puts
from fabric.colors import red, green

import simplejson
import os

gma

module Mongoid #:nodoc
  module Components #:nodoc
    extend ActiveSupport::Concern

    # All modules that a +Document+ is composed of are defined in this
    # module, to keep the document class from getting too cluttered.
    included do
      extend ActiveModel::Translation
      extend Mongoid::Finders
    end

ederwander

#Eng Eder de Souza 01/12/2011
#Speech Recognizer prototype ...
#Real time VAD implementation using Google Speech Api

from tempfile import mkstemp
from subprocess import call
from os import remove, listdir
from matplotlib.mlab import find
import pyaudio
import numpy as np

marktheunissen

This playbook has been removed as it is now very outdated.

ndarville

Business Models

Advertising

Models	Examples
Display ads	Yahoo!
Search ads	Google

dwwoelfel

In your repo's root directory, check in a requirements.txt with

boto==2.30.0

Then, from the project's Project Settings > Environment Variables page, add the two env vars: AWS_ACCESS_KEY_ID and AWS_SECRET_KEY, with an IAM key that can deploy to eb.

Then create a bash script to set up eb:

yefim

{
  "AWSEBDockerrunVersion": "1",
  "Image": {
    "Name": "<AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/<NAME>:<TAG>",
    "Update": "true"
  },
  "Ports": [
    {
      "ContainerPort": "443"
    }