Liam Strilchuk liamstrilchuk

## astar.html
<!DOCTYPE html>
<html lang="en">
	<head>
		<meta name="viewport" content="width=device-width, initial-scale=1.0">
	</head>
	<body>
		<canvas id="canvas"></canvas><br>
		<button onclick="pause()">Start / Pause</button>
		<p id="status">Status: Paused</p>
		<script>

## delete.py
import praw, sys, json

login_details = json.loads(open("login.json", "r").read())

reddit = praw.Reddit(client_id=login_details["client_id"], \
					 client_secret=login_details["client_secret"], \
					 user_agent=login_details["user_agent"], \
					 username=login_details["username"], \
					 password=login_details["password"])
scores = {}

## italia.py
import sys, praw, time, math

def main():
	N = 350
  LINE TO DEFINE REDDIT WITH MY PASSWORD GOES HERE
	sub = reddit.subreddit("u_iwillgetitalia")
	target = base36decode(sys.argv[1])

	for post in reddit.subreddit("all").stream.submissions():
		print(abs(base36decode(post.id) - target + N), post.id)

## analyzecovid.py
import csv

def main():
	days = {}
	countries = ["United States", "India", "Brazil", "Russia", "Peru"]

	with open("owid-covid-data.csv") as f:
		reader = csv.reader(f)

		for line in reader:

## analyze.py
import json, math

def main():
	data = json.loads(open("filteredposts.txt", "r").read())

	subs = {}
	word_counts = {}

	allowed_subs = []

## flappy.html
<body onload="z=c.getContext`2d`;c.width=W=400,c.height=H=600,Y=E=200,Q=z.fillRect.bind(z),M=S=p=0;N=M=>z.fillStyle=M;c.onclick=_=>M=9;R=_=>{M=S=p=0,Y=E};setInterval(_=>{p=p||[W,Math.random()*W],N`red`,Q(0,0,W,H),Y-=M-=.5,X=p[0]-=8,N`black`,Q(X,0,V=50,Z=p[1]),Q(X,Z+E,V,H),(Y<Z||Y>Z+E)&&X<B&&R(),X<-V&&(p=0,S++),Y>H&&R(),Q(0,Y-9,B,B),z.fillText(S,9,B)},B=24)"><canvas id=c>

## sentiment.py
import json
import nltk
nltk.download("subjectivity")
nltk.download("punkt")
nltk.download("vader_lexicon")
from nltk.classify import NaiveBayesClassifier
from nltk.corpus import subjectivity
from nltk.sentiment import SentimentAnalyzer
from nltk.sentiment.util import *
from nltk.sentiment.vader import SentimentIntensityAnalyzer
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	</head>
	<body>
	<canvas id="canvas"></canvas><br>
	<button onclick="pause()">Start / Pause</button>
	<p id="status">Status: Paused</p>
	<script>
	import sys, praw, time, math

	def main():
	N = 350
	LINE TO DEFINE REDDIT WITH MY PASSWORD GOES HERE
	sub = reddit.subreddit("u_iwillgetitalia")
	target = base36decode(sys.argv[1])

	for post in reddit.subreddit("all").stream.submissions():
	print(abs(base36decode(post.id) - target + N), post.id)
	import csv

	def main():
	days = {}
	countries = ["United States", "India", "Brazil", "Russia", "Peru"]

	with open("owid-covid-data.csv") as f:
	reader = csv.reader(f)

	for line in reader:
	import json, math

	def main():
	data = json.loads(open("filteredposts.txt", "r").read())

	subs = {}
	word_counts = {}

	allowed_subs = []
	import json
	import nltk
	nltk.download("subjectivity")
	nltk.download("punkt")
	nltk.download("vader_lexicon")
	from nltk.classify import NaiveBayesClassifier
	from nltk.corpus import subjectivity
	from nltk.sentiment import SentimentAnalyzer
	from nltk.sentiment.util import *
	from nltk.sentiment.vader import SentimentIntensityAnalyzer