akirasosa

openssl rand -base64 512 > .chef/encrypted_data_bag_secret
echo 'encrypted_data_bag_secret "#{current_dir}/encrypted_data_bag_secret"' >> .chef/knife.rb

# knife bootstrap myhost -x user -N node-name -r 'role[somerole]' --sudo

akirasosa

# spec/spec_helper.rb
RSpec.configure do |config|
  config.before(:each) do
    if Capybara.current_driver == :poltergeist
      page.driver.headers = { 'Accept-Language' => "en" }
    end
  end
end

akirasosa

echo "cookbook 'ssh_known_hosts', github: 'opscode-cookbooks/ssh_known_hosts'" >> Berksfile
berks install
berks upload
knife data bag create ssh_known_hosts
knife data bag from file ssh_known_hosts data_bags/ssh_known_hosts/github.json
knife data bag from file ssh_known_hosts data_bags/ssh_known_hosts/heroku.json
knife role from file roles/jenkins-slave.rb

akirasosa

# Gemfile
group :test do
  gem "webmock"
end

akirasosa

# LABEL was passed from an upstream job. It will be in 0, 1 or 2.
find ./spec -name "*_spec.rb" | awk "NR % 3 == ${LABEL} {print}" | xargs rspec

akirasosa

public class MyStringRequest extends StringRequest{
    public MyStringRequest(int method, String url, Response.Listener<String> listener, Response.ErrorListener errorListener) {
        super(method, url, listener, errorListener);
    }

    @Override
    public void deliverError(VolleyError error) {
        if (error instanceof NoConnectionError) {
            Cache.Entry entry = this.getCacheEntry();
            if(entry != null) {

akirasosa

echo y | ${ANDROID_HOME}/tools/android update sdk  -u -a -t platform-tools,build-tools-18.0.1

akirasosa

{
    "email": "test@gmail.com",
    "email_verified": true,
    "family_name": "Sosa",
    "gender": "male",
    "given_name": "Akira",
    "hd": "gmail.com",
    "locale": "en",
    "name": "Akira Sosa",
    "picture": "https://lh3.googleusercontent.com/path/to/photo.jpg",

akirasosa

import numpy as np
from keras.layers import Dense, Dropout, Activation
from keras.layers.advanced_activations import PReLU
from keras.models import Sequential
from matplotlib import pyplot as plt

seed = 7
np.random.seed(seed)

num_digits = 14  # binary encode numbers

akirasosa

import time

import numpy as np
from keras import Input
from keras.applications.mobilenet import DepthwiseConv2D
from keras.engine import Model
from keras.layers import Conv2D

batch_num = 16