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=Navigating=
    visit('/projects')
    visit(post_comments_path(post))

=Clicking links and buttons=
    click_link('id-of-link')
    click_link('Link Text')
    click_button('Save')
    click('Link Text') # Click either a link or a button
    click('Button Value')

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require 'mechanize'
require 'prawn'
=begin
running from terminal to download any pdf from issuu.com, given
- magazine name
- page count
- document-id
=end

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=begin
`spoken_data_api_library.rb`
an attempt to make a SDK for the spoken data API.
spokenData API ruby unofficial SDK v1
@author : Pietro Passarelli
@date: 22/07/2015 
@url:  http://spokendata.com/api

##  About

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=begin
@date 23 July 2015
@author: [email protected]

Given a CSV with two coulmns that have duplicate fields, 
this script compares the two lists and returns a list of the duplicates,
and prints it out as text file.

run it as `ruby csv_2_list.rb name_of_the_csv_file_.csv`
=end

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=begin 
Convert sbv to CSV and Plain Text
To convert sbv files generated using youtube captioning to CSV and plain text format.

run from terminal as $ ruby sbv_to_csv.rb Captions.sbv
converts sbv file from youtube into csv file, doing also timecode conversion using timecode gem. from ie 0:09:07.730 to  00:09:07:18
=end

require 'csv'
require 'timecode'

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## a script to config ubuntu EC2 instance with quickQuote.   http://times.github.io/quickQuote/
## run the script form terminal in the ec2 instance using:
##          ./config_ec2.sh
## you might need to adjust permissions to run it using:
##          sudo chmod 600 ./config_ec2.sh
## http://dennissuratna.com/rails-deployment-aws1/
## http://dennissuratna.com/rails-deployment-aws2/
## http://dennissuratna.com/rails-deployment-aws3/
## Installs on the EC2 instance:
## ruby-2.0.0-p353

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/**
 * A way to simplify/automate the process of making a sails api, using blueprints.
 * it takes a list of models you'd like to generate APIs for, and adds them to the sails app, through a system call.
 * TODO: if you could also specify associations between models, this would make it amazingly quick to prototype a backend API.
 */

var spawn = require('child_process').spawn;
//A comma separate string list of models/resources you'd like to generate
var models = 'project, user, media, transcript, annotation, speaker, paperedit, papercut';

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var request = require('request');
var fs = require('fs');
var sox = require('sox');
var spawn = require('child_process').spawn;

var WATSON_USER = '';
var WATSON_PASS = '';
var url = 'https://stream.watsonplatform.net/speech-to-text/api/v1/recognize';

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To run

see quick start http://www-lium.univ-lemans.fr/diarization/doku.php/quick_start

 /usr/bin/java -Xmx2024m -jar ./lium_spkdiarization-8.4.1.jar  --fInputMask=./norman_door.mp4.temp.wav --sOutputMask=./showName.seg --doCEClustering  showName

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/**
* Minimal SDK to interact with spoken data's spekaer diarization service.
*
* This SDK I/O. works in two pars. first you send the video/audio receive a `uid`. that you can use to check status of transcription and retrieve json.
*
* Input: the API takes in a video or audio file (2048MB per file limit, file extensions: wav, mp3, mp4, ac3, avi, mpg, wmv, flv, mkv)
* output: a uid
*
* input: uid
* output: status of transcription is the first param returned. if `done` returns transcript/speaker diarization as second param.