Matt Dickenson mcdickenson

## get_replies.py
import csv
import tweepy

# get credentials at developer.twitter.com
auth = tweepy.OAuthHandler('API Key', 'API Secret')
auth.set_access_token('Access Token', 'Access Token Secret')

api = tweepy.API(auth)

# update these for whatever tweet you want to process replies to

## obama-nh.txt
I want to congratulate Senator Clinton on a hard-fought victory here in
New Hampshire.

A few weeks ago, no one imagined that we'd have accomplished what we did
here tonight. For most of this campaign, we were far behind, and we
always knew our climb would be steep. But in record numbers, you came
out and spoke up for change. And with your voices and your votes, you
made it clear that at this moment - in this election - there is
something happening in America.

## bondi.jpg

      
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                mcdickenson
                / bondi.jpg
            
            
              Last active
              August 17, 2018 15:49
            
              
                Image Histogram Matching with Polynomials
              
          
## city_codes.csv

          
            city
            state
            state_code
            county_code
            place_code

            
              New York
              NY
              36
              000
              51000

            
              Los Angeles
              CA
              06
              000
              44000

            
              Chicago
              IL
              17
              000
              14000

            
              Houston
              TX
              48
              000
              35000

            
              Philadelphia
              PA
              42
              000
              60000

            
              Phoenix
              AZ
              04
              000
              55000

            
              San Antonio
              TX
              48
              000
              65000

            
              San Diego
              CA
              06
              000
              66000

            
              Dallas
              TX
              48
              000
              19000

## compute_function_length_hist.py
import ast
import os
import matplotlib

matplotlib.use('Agg')

import matplotlib.pyplot as plt
from collections import defaultdict

def walk_dir(dirname, ext):

## blur_faces.py
import cv2
import io
import json
import numpy as np
import os

from google.cloud import vision
from PIL import Image, ImageDraw
from StringIO import StringIO

## webhook.rb
require 'json'
require 'openssl'
require 'sinatra'

SIFT_WEBHOOK_SECRET_KEY = "#####"

post '/webhook' do
  # Let's check whether this webhook actually came from Sift Science!
  # First let's grab the signature from the postback's headers
  postback_signature = request.env['X-Sift-Science-Signature']
	import csv
	import tweepy

	# get credentials at developer.twitter.com
	auth = tweepy.OAuthHandler('API Key', 'API Secret')
	auth.set_access_token('Access Token', 'Access Token Secret')

	api = tweepy.API(auth)

	# update these for whatever tweet you want to process replies to
	I want to congratulate Senator Clinton on a hard-fought victory here in
	New Hampshire.

	A few weeks ago, no one imagined that we'd have accomplished what we did
	here tonight. For most of this campaign, we were far behind, and we
	always knew our climb would be steep. But in record numbers, you came
	out and spoke up for change. And with your voices and your votes, you
	made it clear that at this moment - in this election - there is
	something happening in America.
city	state	state_code	county_code	place_code
New York	NY	36	000	51000
Los Angeles	CA	06	000	44000
Chicago	IL	17	000	14000
Houston	TX	48	000	35000
Philadelphia	PA	42	000	60000
Phoenix	AZ	04	000	55000
San Antonio	TX	48	000	65000
San Diego	CA	06	000	66000
Dallas	TX	48	000	19000
	import ast
	import os
	import matplotlib

	matplotlib.use('Agg')

	import matplotlib.pyplot as plt
	from collections import defaultdict

	def walk_dir(dirname, ext):
	import cv2
	import io
	import json
	import numpy as np
	import os

	from google.cloud import vision
	from PIL import Image, ImageDraw
	from StringIO import StringIO
	require 'json'
	require 'openssl'
	require 'sinatra'

	SIFT_WEBHOOK_SECRET_KEY = "#####"

	post '/webhook' do
	# Let's check whether this webhook actually came from Sift Science!
	# First let's grab the signature from the postback's headers
	postback_signature = request.env['X-Sift-Science-Signature']