Tynan Burke thearchduke

## commitsearch.rb
#!/usr/bin/env ruby
# please use 2.4.0+

# Recursively searches your directory of repos to find the specified regex in commit messages,
# and produces a histogram by author.
# e.g. "./commitsearch.rb 'fu*ck'"

authors = []

Dir.glob('*').select { |f| File.directory? f } .sort .each do |d|

## comment_linter.js
$(function(){
    var LINTER_BUTTON_TEXT = 'Lint comment';
    var BAD_WORDS = [];
    var LINTER_MEMO = {};

    function memoized(input) {
        if (input in LINTER_MEMO === true) {
            return LINTER_MEMO[input];
        }
        LINTER_MEMO[input] = checkWord(input);

## knn.py
'''
Example python implementation of K-nearest neighbor machine learning algorithm
'''

from collections import Counter
import random


class KNNClassifier(object):
    '''

## data.csv

          
            from
            to
            weighted_rep
            weighted_ind
            weighted_dem
            unweighted_rep
            unweighted_ind
            unweighted_dem

            
              1/20/17
              1/29/17
              0.2492
              0.1848
              0.0325
              0.89
              0.42
              0.13

            
              1/30/17
              2/5/17
              0.2666
              0.1517
              0.0248
              0.86
              0.41
              0.08

            
              2/6/17
              2/12/17
              0.2697
              0.1295
              0.0341
              0.87
              0.35
              0.11

            
              2/13/17
              2/19/17
              0.2666
              0.1369
              0.0217
              0.86
              0.37
              0.07

            
              2/20/17
              2/26/17
              0.2728
              0.1406
              0.031
              0.88
              0.38
              0.1

            
              2/27/17
              3/5/17
              0.2288
              0.1638
              0.03
              0.88
              0.39
              0.1

            
              3/6/17
              3/12/17
              0.2288
              0.1512
              0.027
              0.88
              0.36
              0.09

            
              3/13/17
              3/19/17
              0.2236
              0.147
              0.03
              0.86
              0.35
              0.1

            
              3/20/17
              3/26/17
              0.2184
              0.1386
              0.024
              0.84
              0.33
              0.08

## index.html
<!DOCTYPE html>
<meta charset="utf-8">
<style>

svg {
  background: black;
}

.node {
  font: 300 11px "Helvetica Neue", Helvetica, Arial, sans-serif;

## bj_ajax.js
  $.ajax({
    url: "evening.html",
  }).done(function(data) {
    var post = $(data);
    window.graph.nodes.push({
      "id": "front-page post",
      "user": "front-page post"
    })
    post.find('.comment').each(function() {
      var cmt = $(this);

## mine_tweets.py
try:
	import cPickle as pickle
except:
	import pickle

from twitter import *
import datetime

token = ''
token_key = ''
	#!/usr/bin/env ruby
	# please use 2.4.0+

	# Recursively searches your directory of repos to find the specified regex in commit messages,
	# and produces a histogram by author.
	# e.g. "./commitsearch.rb 'fu*ck'"

	authors = []

	Dir.glob('*').select { \|f\| File.directory? f } .sort .each do \|d\|
	$(function(){
	var LINTER_BUTTON_TEXT = 'Lint comment';
	var BAD_WORDS = [];
	var LINTER_MEMO = {};

	function memoized(input) {
	if (input in LINTER_MEMO === true) {
	return LINTER_MEMO[input];
	}
	LINTER_MEMO[input] = checkWord(input);
	'''
	Example python implementation of K-nearest neighbor machine learning algorithm
	'''

	from collections import Counter
	import random


	class KNNClassifier(object):
	'''
from	to	weighted_rep	weighted_ind	weighted_dem	unweighted_rep	unweighted_ind	unweighted_dem
1/20/17	1/29/17	0.2492	0.1848	0.0325	0.89	0.42	0.13
1/30/17	2/5/17	0.2666	0.1517	0.0248	0.86	0.41	0.08
2/6/17	2/12/17	0.2697	0.1295	0.0341	0.87	0.35	0.11
2/13/17	2/19/17	0.2666	0.1369	0.0217	0.86	0.37	0.07
2/20/17	2/26/17	0.2728	0.1406	0.031	0.88	0.38	0.1
2/27/17	3/5/17	0.2288	0.1638	0.03	0.88	0.39	0.1
3/6/17	3/12/17	0.2288	0.1512	0.027	0.88	0.36	0.09
3/13/17	3/19/17	0.2236	0.147	0.03	0.86	0.35	0.1
3/20/17	3/26/17	0.2184	0.1386	0.024	0.84	0.33	0.08
	<!DOCTYPE html>
	<meta charset="utf-8">
	<style>

	svg {
	background: black;
	}

	.node {
	font: 300 11px "Helvetica Neue", Helvetica, Arial, sans-serif;
	$.ajax({
	url: "evening.html",
	}).done(function(data) {
	var post = $(data);
	window.graph.nodes.push({
	"id": "front-page post",
	"user": "front-page post"
	})
	post.find('.comment').each(function() {
	var cmt = $(this);
	try:
	import cPickle as pickle
	except:
	import pickle

	from twitter import *
	import datetime

	token = ''
	token_key = ''