chaser92

# -*- mode: ruby -*-
# vi: set ft=ruby :

# All Vagrant configuration is done below. The "2" in Vagrant.configure
# configures the configuration version (we support older styles for
# backwards compatibility). Please don't change it unless you know what
# you're doing.
Vagrant.configure("2") do |config|
  # The most common configuration options are documented and commented below.
  # For a complete reference, please see the online documentation at

chaser92

#!/bin/bash


#MEM_LIMIT=""

if [ $# -lt 1 ]; then
    echo "Usage: $0 <program_to_test> [args...]"
fi

SELF="$(readlink -f "$0")"

chaser92

SELECT
  'DROP INDEX "'||nspname||'"."'||relname||'" RESTRICT;'
FROM pg_index
INNER JOIN pg_class ON indexrelid=pg_class.oid
INNER JOIN pg_namespace ON pg_namespace.oid=pg_class.relnamespace
WHERE indrelid = (SELECT oid FROM pg_class WHERE relname='??')
AND indisprimary=FALSE
AND indisvalid=TRUE
AND nspname NOT LIKE 'pg_%25'
ORDER BY nspname,relname;

chaser92

x

chaser92

# wallpaper
wget "https://wp-cdn-2.s3.amazonaws.com/wp-content/uploads/2018/01/sigmoidal-logo.png" -O ~/wallpaper.png
gsettings set org.gnome.desktop.background picture-uri "file://$HOME/wallpaper.png"
gsettings set org.gnome.desktop.background picture-options 'centered'
gsettings set org.gnome.desktop.background primary-color '#ffffffffffff'
# software
sudo apt-get install curl vim git -y
sudo add-apt-repository ppa:jonathonf/python-3.6 -y
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

chaser92

# BEFORE STARTING PUT libcudnn5_5.1.10-1+cuda8.0_amd64.deb AND libcudnn5-dev_5.1.10-1+cuda8.0_amd64.deb IN /tmp
# OTHERWISE THIS WON'T WORK
# This has been tested only on EC2 P2 xlarge instance with 16 GB storage and stock Ubuntu 16.04
# It's a setup for a playground EC2 machine to perform workshops with Jupyter Notebook on GPU.
# It might contain some unnecessary crap
# The process takes like 15 minutes

pushd /tmp &&
stat libcudnn5_5.1.10-1+cuda8.0_amd64.deb &&
stat libcudnn5-dev_5.1.10-1+cuda8.0_amd64.deb &&

chaser92

import tensorflow as tf

# just to verify they're installed
import pandas
import matplotlib
import scipy
import numpy

# With CPU
with tf.Session() as sess:

chaser92

    it ("should call containsWatch upon onMeasures() called", function() {
        watchDataStore.containsWatch = sinon.stub().returns(when(null));
        return trendsD.onMeasures([{
            central: "centrala1",
            element: "element",
            property: "property",
            value: 12
        }], false)
        .then(function() {
            expect(watchDataStore.containsWatch.callCount).to.equal(1);

chaser92

// revolutions per second
var angularSpeed = 0.2; 
var lastTime = 0;

var SIZE = 50;

function de2ra(degree)   { return degree*(Math.PI/180); }
// this function is executed on each animation frame
function animate(){