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\documentclass{standalone}
\usepackage{tikz}
\begin{document}
\tikzstyle{block} = [rectangle, draw, 
    text width=8em, text centered, rounded corners, minimum height=4em]
    
\tikzstyle{line} = [draw, -latex]

\begin{tikzpicture}[node distance = 6em, auto, thick]
    \node [block] (Agent) {Agent};

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#n###################################
## StarCluster Configuration File ##
####################################
[global]
# Configure the default cluster template to use when starting a cluster
# defaults to 'smallcluster' defined below. This template should be usable
# out-of-the-box provided you've configured your keypair correctly
DEFAULT_TEMPLATE=smallcluster
# enable experimental features for this release
#ENABLE_EXPERIMENTAL=True

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# Copyright Pierre-Luc Bacon <pbacon@cs.mcgill.ca>
#
# This file is part of StarCluster.
#
# StarCluster is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option) any
# later version.
#
# StarCluster is distributed in the hope that it will be useful, but WITHOUT

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def bicgstab(x0, b, atv, eps, kmax):
    n = b.shape[0]
    errtol = eps*np.linalg.norm(b)
    error = []
    x = x0
    
    rho = np.zeros(kmax+1)
    if np.isclose(np.linalg.norm(x), 0.):
        r = b
    else:

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import time
import numpy as np
from bokeh.plotting import *

output_server("line_animate")
p = figure()

p.line([], [], color="#3333ee", name="My stream")
show(p)

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import os
import gphoto2 as gp

class Camera:
    def __init__(self):
        pass

    def open(self):
        self.context = gp.gp_context_new()
        self.camera = gp.check_result(gp.gp_camera_new())

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import json
import urllib
import urllib2
import xml.etree.ElementTree as ET

def query_automobiles():
    url = 'https://www.reservauto.net/WCF/LSI/LSIBookingService.asmx/GetVehicleProposals?Callback=?'
    values = {'CustomerID' : '""',
              'Longitude' : '0',
              'Latitude' : '0' }

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class InverseTransform:
    def __init__(self, probs, rng=None):
        if np.sum(probs) < 1.:
            raise ValueError('Must sum up to 1')
        
        self.rng = rng
        if rng is None:
            self.rng = np.random.RandomState()
        self.cdf = np.cumsum(probs)
        

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import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
from ale_python_interface import ale_python_interface as ALE

def display_ale(im, screen):
    im.set_data(screen)
    plt.draw()

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ffmpeg -f video4linux2 -thread_queue_size 512 -input_format mjpeg -video_size hd720 -i /dev/video0 \
-f alsa -thread_queue_size 512 -i hw:1,0,0 \
-acodec mp3 -async 1 -vcodec libx264 -preset veryfast output.mp4 \
-acodec mp3 -ar 44100 -vcodec libx264 -preset ultrafast -maxrate 1984k -bufsize 3968k -g 60 -f flv rtmp://x.rtmp.youtube.com/live2/yourid