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\documentclass{article}
\usepackage{amsmath}
\begin{document}
\begin{enumerate}
\item \dots
\item \dots
\item \dots
\item \dots
\item \dots
\item \dots

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--- !Move
name: mark node
description: mark this node
author: Sean Allred
date: 2014-05-17
tex: '"marked"(n) = 1'
filename: mark.py
--- !Move
name: unmark node
description: unmark this node

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bash-3.2$ ./ssa-tool run 'Independent Set' from examples/ind-set.ssax on examples/graph.yaml                                                                               
Welcome to SSA-Tool, version 1.
Running
  Algorithm: "Independent Set"
       from: "examples/ind-set.ssax"
         on: "examples/graph.yaml"
    (format: "yaml")
Read Graph:
[(0, {'marked': False}),
 (1, {'marked': True}),

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Lispbox

If you just want a Lisp environment, go ahead and grab Lispbox, an Emacs bundle pre-configured to work as a LISP IDE. Download the appropriate version from the official site.

Straight Emacs

If you want to really explore what Lisp is capable of on a regular basis, get yourself a copy of Emacs. It’s a really great environment and, if you put in effort, it will help you out a lot over the course of your career. (Things like AucTeX, Magit, and multiple-cursors are indispensable tools.)

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Python 2.7.5 (default, Sep 12 2013, 21:33:34) 
[GCC 4.2.1 Compatible Apple LLVM 5.0 (clang-500.0.68)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> with open('ind-set.ssax/bundle.yaml') as f:
... 	print("".join(f.readlines()))
... 

#%BUNDLE 1.0
- predicate: node should unmark
  description: Returns true if the node is marked when a neighbor is also marked.

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#%BUNDLE 1.0
- algorithm: Independent Set
  author: Sean Allred
  date: 2014-05-17
  rules:
    - rule: marked and neighbors marked
      moves:
        - unmark
    - rule: unmarked and neighbors unmarked
      moves:

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\documentclass{article}

\usepackage{mathtools}
\DeclareMathOperator{\Barr}{Bar}
\newcommand\Fooo{\mathrm{Foo}}
\newcommand\Bazz{\mathrm{Baz}}
\newcommand\Fobb{\mathrm{Fob}}

\begin{document}
\begin{align*}

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#+Title: Solution for In-Class Lab 2014-03-10 (COSC 251 SP14.6PM)
#+Author: Sean Allred and Molly Domino
#+Date: 2014-03-10
#+Objective: Read in a CSV, parse it as an adjacency matrix,
#+           and convert into an adjacency list.

# pretty-printing facilities
from pprint import pprint

print('Method 1: 21 lines of code (nothing fancy)')

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% This is a LaTeX template for the paper due 2014-02-20 for D&A.

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Producing your Document %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% LaTeX provides sophisticated reference management, which is even
% more automated through the use of BibTeX.  However, BibTeX requires
% a separate command to work, making the call order:
%

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dof        l2_err     level
5          8.312e-02  2
17         2.547e-02  3
49         7.407e-03  4
129        2.102e-03  5
321        5.874e-04  6
769        1.623e-04  7
1793       4.442e-05  8
4097       1.207e-05  9
9217       3.261e-06  10