Stephen Mayhew mayhewsw

cs-shirt.txt is from the UIUC CS shirt. The binary digits are shaped to form a big I. The cs-shirt.py translates the shirt into text.

	// almost d3-style graph
	var graph = {"nodes" : [
	{"name":"somenode"},
	{"name":"somenewnode"}
	],
	"links":[
	{"source":"somenode", "target":"somenewnode"}
	]
	};

	<html>
	<head>
	<title>Put stuff here</title>

	</head>
	<body>
	<h2>This is my block/gist!</h2>
	<div id="putstuffhere"></div>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
	<script>

	import sys

	if len(sys.argv) != 2:
	print "Usage: python nospaces.py <inputfile>"
	exit()

	infile = sys.argv[1]

	print "Removing the spaces from " + infile + "..."

	package edu.illinois.cs.cogcomp.tutorial;

	import edu.illinois.cs.cogcomp.lbjava.learn.Lexicon;
	import edu.illinois.cs.cogcomp.lbjava.learn.SparseNetworkLearner;

	import java.io.ByteArrayOutputStream;
	import java.io.PrintStream;
	import java.util.*;
	import java.util.stream.Stream;

	#!/bin/sh
	for f in *.xml.gz; do
	if [ $f == "English.xml.gz" ] ; then
	continue;
	fi

	python makeplaintext.py $f English.xml.gz;
	done

	#!/usr/bin/python
	from bs4 import BeautifulSoup

	# use url: http://unicode.org/iso15924/iso15924-codes.html

	with open("iso15924list.html") as f:
	html_doc = f.read()

	soup = BeautifulSoup(html_doc, 'html.parser')

	import numpy as np
	import matplotlib.pyplot as plt
	import matplotlib as mpl
	import matplotlib.patches as patches

	mpl.rcParams['font.family'] = "Times New Roman"
	#mpl.rcParams['font.size'] = "11"
	mpl.rc('pdf', fonttype=42)

	import numpy as np
	import math
	import sys

	np.set_printoptions(linewidth=400)

	def EditDistance(s, t):
	# For all i and j, d[i,j] will hold the Levenshtein distance between
	# the first i characters of s and the first j characters of t.
	# Note that d has (m+1) x(n+1) values.