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#!/bin/sh

if test -s /var/run/hadoop/elephantdb.pid;
then
    OLDPID=`cat /var/run/hadoop/elephantdb.pid`
    echo "Killing old elephant process, pid=$OLDPID"
    kill $OLDPID
    rm /var/run/hadoop/elephantdb.pid
fi;
nohup java elephantdb.main /elephant/global-conf.clj /usr/local/hadoop/conf/elephantdb-local-conf.clj "`date`" > /var/log/hadoop/elephantdb.log &

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function FiniteStateMachine(states, transitions, initialState) {
  var state = initialState;

  this.getState = function() {
    return state;
  };

  this.transition = function(newState) {
    if (_.detect(transitions, function(transition) { return (transition[0] == state) && (transition[1] == newState); })) {
      if (('onExit' in states[state]) && (typeof states[state].onExit == 'function')) {

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from pylab import *

E = 1.5 # exercise level
height = 6*12 #Height in inches
a = E * (66 + 12.7*height) / 3500.0
b = E * 6.23 / 3500
g = E * 6.775 / (365*3500.0)

age_range = (28, 40)
t = arange(age_range[0]*365,age_range[1]*365)

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if ! ifconfig eth0 && ! -f /var/log/rewriting-net-rules;
then
    echo "Mac address for eth0 is incorrect."
    /bin/rm -rf /etc/udev/rules.d/70-persistent-net.rules
    touch /var/log/rewriting-net-rules
    echo "Rebooting now."
    /sbin/reboot
else
    /bin/rm /var/log/rewriting-net-rules
fi

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from numpy import *
from pylab import *

x = rand(N)
y = x + random.normal(0, 0.4, size=(N,))

subplot(211)
axis((0,1,0,1))
scatter(x,y)
subplot(212)

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# Data from: http://www.ny1.com/content/top_stories/156599/now-available--2007-2010-nyc-teacher-performance-data#doereports

from pylab import *
from pandas import *
import re

def get_data(filename):
    d = read_csv(filename, delimiter="\t")
    d['teacher'] = d['teacher_name_first_1'] + " " + d['teacher_name_last_1']
    return d

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from numpy import *
from scipy.stats import beta


class BetaBandit(object):
    def __init__(self, num_options=2, prior=(1.0,1.0)):
        self.trials = zeros(shape=(num_options,), dtype=int)
        self.successes = zeros(shape=(num_options,), dtype=int)
        self.num_options = num_options
        self.prior = prior

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from numpy import *
from scipy.stats import beta


class BetaBandit(object):
    def __init__(self, num_options=2, prior=(1.0,1.0)):
        self.trials = zeros(shape=(num_options,), dtype=int)
        self.successes = zeros(shape=(num_options,), dtype=int)
        self.num_options = num_options
        self.prior = prior

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from numpy import *
from scipy.stats import beta
import random


class BetaBandit(object):
    def __init__(self, num_options=2, prior=None):
        self.trials = zeros(shape=(num_options,), dtype=int)
        self.successes = zeros(shape=(num_options,), dtype=int)
        self.num_options = num_options

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from pylab import *
from scipy.stats import *

num_adults = 227e6
basic_income = 7.25*40*50
labor_force = 154e6
disabled_adults = 21e6
current_wealth_transfers = 3369e9

def jk_rowling(num_non_workers):