Nicholas Bennett nrrb

## mandelbrot.py
def draw_fractal(n_columns=40, n_rows=20,
                 min_real=-1.5, min_imag=-1.0, max_real=1.0, max_imag=1.0,
                 max_iterations=200, render_chars = 'abcdefghijklmnopqrstuvw    '):
    '''
    This renders a Mandelbrot set fractal in text mode.
    http://en.wikipedia.org/wiki/Mandelbrot_set

    Defaults:

    def draw_fractal(n_columns=80, n_rows=40,

## kjobmatcher.py
#!/usr/bin/env python
#

import os
import urllib
import csv
import sys
import re

from google.appengine.ext import blobstore

## sirdspos.asm
; SIRDS Piece Of Shiite
; by danslemur (nick@jtan.com)
; 5/18/2003
; for EFnet #asm compo 7 - Make a 256 byte intro for 386/486 class PC's
;
; I got bored and didn't fill in the whole 256 bytes. It's 185 bytes now. Eh!
;
; Thanks to:
; - Razzia for his helpful size optimization post on www.movnet.org/forum,
; - matja for showing me a better way to write a 4x4 block to the buffer,

## index.html
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN">
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Force based label placement</title>
		<script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?2.6.0"></script>
		<script type="text/javascript" src="http://mbostock.github.com/d3/d3.layout.js?2.6.0"></script>
		<script type="text/javascript" src="http://mbostock.github.com/d3/d3.geom.js?2.6.0"></script>
	</head>
	<body>

## gist:3914846
{
    "nodes": [
        {
            "name": "http://vivo.cornell.edu/individual/AI-ICAR-0203DF692AC00007436"
        },
        {
            "name": "http://vivo.cornell.edu/individual/AI-ICAR-0203DF692AC000088DF"
        },
        {
            "name": "http://vivo.cornell.edu/individual/AI-ICAR-0203DF692AC000050FB"

## gist:4056175
<script src="//ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script>
<script type="text/javascript">
// How often the stopwatch is actually updated
Stopwatch.interval_ms = 200;

function Stopwatch(time_offset, ratio_to_realtime, display_increment_ms, display_function) {

  this.start_time = (new Date()).getTime();
  if(time_offset) {
    this.start_time -= time_offset;

## gist:4069099
import csv
import os
import glob
import re
from collections import defaultdict as dd

src_path = "C:\\Users\\Nick\\Dropbox\\MTS Relational Event Network Modeling\\MTS Data\\NU Newest Chatlogs"

# Read in all data from all the files and index it in a data structure by session,
# sender, receiver, and the message. This will aid in finding the duplicates later.

## gist:4084590
import csv
import os
import glob

src_path = 'C:\\Users\\Nick\\Dropbox\\MTS Relational Event Network Modeling\\MTS Data\\NU Newest Chatlogs\\Deduplicated Logs By Phase'

for filename in glob.glob(os.path.join(src_path, "*.txt")):
  with open(filename, 'rb') as f:
    rows = list(csv.reader(f, delimiter='\t'))
    event_count = len(rows)

## index.html
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN">
<html lang="en">
	<head>
		<meta charset="utf-8">
		<title>Force based label placement</title>
		<script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?2.6.0"></script>
		<script type="text/javascript" src="http://mbostock.github.com/d3/d3.layout.js?2.6.0"></script>
		<script type="text/javascript" src="http://mbostock.github.com/d3/d3.geom.js?2.6.0"></script>
	</head>
	<body>

## reformat_qualtrics.py
import csv

  with open('c:/users/nick/downloads/Shalinee_Survey_for_Kineo.csv', 'rb') as f:
    rows = list(csv.DictReader(f))

  responses = []
  # Skipping the first row, it's effectively the key from column headers to
  # question text
  for row in rows[1:]:
    # V5 is the heading for the column containing the email address
	def draw_fractal(n_columns=40, n_rows=20,
	min_real=-1.5, min_imag=-1.0, max_real=1.0, max_imag=1.0,
	max_iterations=200, render_chars = 'abcdefghijklmnopqrstuvw '):
	'''
	This renders a Mandelbrot set fractal in text mode.
	http://en.wikipedia.org/wiki/Mandelbrot_set

	Defaults:

	def draw_fractal(n_columns=80, n_rows=40,
	#!/usr/bin/env python
	#

	import os
	import urllib
	import csv
	import sys
	import re

	from google.appengine.ext import blobstore
	; SIRDS Piece Of Shiite
	; by danslemur (nick@jtan.com)
	; 5/18/2003
	; for EFnet #asm compo 7 - Make a 256 byte intro for 386/486 class PC's
	;
	; I got bored and didn't fill in the whole 256 bytes. It's 185 bytes now. Eh!
	;
	; Thanks to:
	; - Razzia for his helpful size optimization post on www.movnet.org/forum,
	; - matja for showing me a better way to write a 4x4 block to the buffer,
	<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01//EN">
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Force based label placement</title>
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?2.6.0"></script>
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.layout.js?2.6.0"></script>
	<script type="text/javascript" src="http://mbostock.github.com/d3/d3.geom.js?2.6.0"></script>
	</head>
	<body>
	{
	"nodes": [
	{
	"name": "http://vivo.cornell.edu/individual/AI-ICAR-0203DF692AC00007436"
	},
	{
	"name": "http://vivo.cornell.edu/individual/AI-ICAR-0203DF692AC000088DF"
	},
	{
	"name": "http://vivo.cornell.edu/individual/AI-ICAR-0203DF692AC000050FB"
	<script src="//ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script>
	<script type="text/javascript">
	// How often the stopwatch is actually updated
	Stopwatch.interval_ms = 200;

	function Stopwatch(time_offset, ratio_to_realtime, display_increment_ms, display_function) {

	this.start_time = (new Date()).getTime();
	if(time_offset) {
	this.start_time -= time_offset;
	import csv
	import os
	import glob
	import re
	from collections import defaultdict as dd

	src_path = "C:\\Users\\Nick\\Dropbox\\MTS Relational Event Network Modeling\\MTS Data\\NU Newest Chatlogs"

	# Read in all data from all the files and index it in a data structure by session,
	# sender, receiver, and the message. This will aid in finding the duplicates later.
	import csv

	with open('c:/users/nick/downloads/Shalinee_Survey_for_Kineo.csv', 'rb') as f:
	rows = list(csv.DictReader(f))

	responses = []
	# Skipping the first row, it's effectively the key from column headers to
	# question text
	for row in rows[1:]:
	# V5 is the heading for the column containing the email address