Anthony Zhang Uberi

## pyaudio-test.py
import pyaudio, audioop

CHANNELS = 2
RATE = 44100
CHUNK = 4096
FORMAT = pyaudio.paInt16

p = pyaudio.PyAudio()
stream = p.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK)
sample_size = pyaudio.get_sample_size(FORMAT)

## e10s Analysis.ipynb

      
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## Addon e10s Compatibility (Beta Channel).ipynb

      
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## Moon Phase Correlation Analysis.ipynb

      
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## telemetry-analysis.ipynb

      
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## realtime-plot.py
#!/usr/bin/env python3

import time, random
import math
from collections import deque

start = time.time()

class RealtimePlot:
    def __init__(self, axes, max_entries = 100):

## image_plot.py
image_path = "HOPE.png"

from mpl_toolkits.mplot3d import Axes3D
from matplotlib import pyplot
from PIL import Image

fig = pyplot.figure()
axis = fig.add_subplot(1, 1, 1, projection="3d") # 3D plot with scalar values in each axis

im = Image.open(image_path)

## Keri.html
<!DOCTYPE html>
<html>
	<head>
		<meta http-equiv="content-type" content="text/html; charset=UTF-8">
		<title>WARR NEVER CHANGES</title>
		<style>
body {
	background: black;
	overflow: hidden;
}

## markov-single-word.py
path = "normalized_data.json"
user = "Keri Warr"

import json, sys, re
import random
from collections import defaultdict

data = json.load(open(path, "r"))

START, END = 0, 1

## normalize.py
path = "data.json"
new_path = "normalized_data.json"

from urllib.parse import urlparse, parse_qs
import json

users = {
    "fbid:100001608518631": "Anthony Zhang",
    "fbid:1538370516": "Keri Warr",
    "fbid:814604197": "Daniel Hopper",
	import pyaudio, audioop

	CHANNELS = 2
	RATE = 44100
	CHUNK = 4096
	FORMAT = pyaudio.paInt16

	p = pyaudio.PyAudio()
	stream = p.open(format=FORMAT, channels=CHANNELS, rate=RATE, input=True, frames_per_buffer=CHUNK)
	sample_size = pyaudio.get_sample_size(FORMAT)
	#!/usr/bin/env python3

	import time, random
	import math
	from collections import deque

	start = time.time()

	class RealtimePlot:
	def __init__(self, axes, max_entries = 100):
	image_path = "HOPE.png"

	from mpl_toolkits.mplot3d import Axes3D
	from matplotlib import pyplot
	from PIL import Image

	fig = pyplot.figure()
	axis = fig.add_subplot(1, 1, 1, projection="3d") # 3D plot with scalar values in each axis

	im = Image.open(image_path)
	<!DOCTYPE html>
	<html>
	<head>
	<meta http-equiv="content-type" content="text/html; charset=UTF-8">
	<title>WARR NEVER CHANGES</title>
	<style>
	body {
	background: black;
	overflow: hidden;
	}
	path = "normalized_data.json"
	user = "Keri Warr"

	import json, sys, re
	import random
	from collections import defaultdict

	data = json.load(open(path, "r"))

	START, END = 0, 1
	path = "data.json"
	new_path = "normalized_data.json"

	from urllib.parse import urlparse, parse_qs
	import json

	users = {
	"fbid:100001608518631": "Anthony Zhang",
	"fbid:1538370516": "Keri Warr",
	"fbid:814604197": "Daniel Hopper",