content: # -*- coding: utf-8 -*-
  __title__ = 'latinpigsay'
  __license__ = 'MIT'
  __author__ = 'Steven Cutting'
  __author_email__ = 'steven.c.projects@gmail.com'
  __created_on__ = '12/3/2014'
  
  """
  Created on Wed Dec  3 17:36:17 2014
  
  @author: steven_c
  """
  
  acidtest = """Can you talk piglatin to piglatin.
  """
  
  
  quotes = """A Tale of Two Cities LITE(tm)
       -- by Charles Dickens
  
       A lawyer who looks like a French Nobleman is executed in his place.
  
  The Metamorphosis LITE(tm)
       -- by Franz Kafka
  
       A man turns into a bug and his family gets annoyed.
  
  Lord of the Rings LITE(tm)
       -- by J. R. R. Tolkien
  
       Some guys take a long vacation to throw a ring into a volcano.
  
  Hamlet LITE(tm)
       -- by Wm. Shakespeare
  
       A college student on vacation with family problems, a screwy
       girl-friend and a mother who won't act her age.
  """
  
  
  paragraphs = """For many people (myself among them), the Python language is easy to fall in love with.
  Since its first appearance in 1991, Python has become one of the most popular dynamic,
  programming languages, along with Perl, Ruby, and others. Python and Ruby have
  become especially popular in recent years for building websites using their numerous
  web frameworks, like Rails (Ruby) and Django (Python). Such languages are often
  called scripting languages as they can be used to write quick-and-dirty small programs,
  or scripts. I don’t like the term “scripting language” as it carries a connotation that they
  cannot be used for building mission-critical software. Among interpreted languages
  Python is distinguished by its large and active scientific computing community.
  Adoption of Python for scientific computing in both industry applications and academic
  research has increased significantly since the early 2000s.
  
  For data analysis and interactive, exploratory computing and data visualization, Python
  will inevitably draw comparisons with the many other domain-specific open source
  and commercial programming languages and tools in wide use, such as R, MATLAB,
  SAS, Stata, and others. In recent years, Python’s improved library support (primarily
  pandas) has made it a strong alternative for data manipulation tasks. Combined with
  Python’s strength in general purpose programming, it is an excellent choice as a single
  language for building data-centric applications.
  """
  
  simplepgs = """Simple test.
  Paragraphs. test.
  Derp, derp   a.
  
  Simple test.
  Let's sentence ma'am let's full of ain't contractions I'm i'm couldn't've I'd.
  Fred's stapler.
  Fred's going to the movie.
  O'clock o'clock.
  Paragraphs. test.
  Derp, derp.
  """
  
  contsentence = "Let's sentence ma'am let's full of ain't contractions I'm i'm couldn't've I'd."
  
  sentence = 'If capture groups are used, then the matched text is also included in the result.'
  
  listofwords = ['Pig Latin',
                 'hello',
                 'switch',
                 'glove',
                 'fruit smoothie',
                 'egg',
                 'ultimate',
                 'I',
                 'yellow',
                 'my',
                 'rhythm',
                 '436',
                 '5',
                 ]
  
  
  txt = """
  The Gettysburg Address
  
  Four score and seven years ago our fathers brought forth on this continent,
  a new nation, conceived in Liberty, and dedicated to the proposition that all
  men are created equal.
  
  Now we are engaged in a great civil war, testing whether that nation, or any
  nation so conceived and so dedicated, can long endure. We are met on a great
  battlefield of that war. We have come to dedicate a portion of that field, as
  a final resting place for those who here gave their lives that that nation
  might live. It is altogether fitting and proper that we should do this.
  
  But, in a larger sense, we cannot dedicate - we cannot consecrate - we cannot
  hallow - this ground. The brave men, living and dead, who struggled here, have
  consecrated it, far above our poor power to add or detract. The world will
  little note, nor long remember what we say here, but it can never forget what
  they did here. It is for us the living, rather, to be dedicated here to the
  unfinished work which they who fought here have thus far so nobly advanced.
  It is rather for us to be here dedicated to the great task remaining before
  us - that from these honored dead we take increased devotion to that cause for
  which they gave the last full measure of devotion - that we here highly resolve
  that these dead shall not have died in vain - that this nation, under God,
  shall have a new birth of freedom - and that government of the people, by
  the people, for the people, shall not perish from the earth.
  """
  
  
  paragraphs_og = """For many people (myself among them), the Python language is easy to fall in love with.
  Since its first appearance in 1991, Python has become one of the most popular dynamic,
  programming languages, along with Perl, Ruby, and others. Python and Ruby have
  become especially popular in recent years for building websites using their numerous
  web frameworks, like Rails (Ruby) and Django (Python). Such languages are often
  called scripting languages as they can be used to write quick-and-dirty small programs,
  or scripts. I don’t like the term “scripting language” as it carries a connotation that they
  cannot be used for building mission-critical software. Among interpreted languages
  Python is distinguished by its large and active scientific computing community. Adop-
  tion of Python for scientific computing in both industry applications and academic
  research has increased significantly since the early 2000s.
  For data analysis and interactive, exploratory computing and data visualization, Python
  will inevitably draw comparisons with the many other domain-specific open source
  and commercial programming languages and tools in wide use, such as R, MATLAB,
  SAS, Stata, and others. In recent years, Python’s improved library support (primarily
  pandas) has made it a strong alternative for data manipulation tasks. Combined with
  Python’s strength in general purpose programming, it is an excellent choice as a single
  language for building data-centric applications.
  """
  