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# https://fivethirtyeight.com/features/work-a-shift-in-the-riddler-gift-shop/
# riddler express
# https://docs.google.com/spreadsheets/d/1n2WNPOeR2iOeWf5pUpHU6P92MDH7sk3rsUtvdFUsmHM/edit#gid=0

import random
random.seed(0)

# what if the half pills fall out of your hands back into the bottle?
# let p stand for probablity between 0 and 1.
def sample_pills_extra_credit(i, p):

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from datetime import datetime as dt

# timestamp microseconds
timestamp = '1490871689000'

# String to remove miliseconds or it'll break
converted_timestamp = int(timestamp[:-3])

# I want a timestamp that's human readable!
converted_timestamp = dt.fromtimestamp(converted_timestamp)

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# https://fivethirtyeight.com/features/what-are-the-chances-well-meet-for-lunch/

# On a lovely spring day, you and I agree to meet for a lunch picnic at the fountain in the center of our favorite park.
# We agree that we’ll each arrive sometime from noon and 1 p.m.,
# and that whoever arrives first will wait up to 15 minutes for the other.
# If the other person doesn’t show by then, the first person will abandon the plans and spend the day with a more punctual friend.
# If we both arrive at the fountain at an independently random time between noon and 1, what are the chances our picnic actually happens?

import random
# Seed makes the result identical for every run

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# results https://docs.google.com/spreadsheets/d/1q3YD0AlzynouZmyBJqCWTnxAClhHoagoEGcHH3OncAc/edit?usp=sharing
# This video would have been super helpful to watch BEFORE trying this problem
# https://www.youtube.com/watch?v=stgYW6M5o4k
# SOLUTION!
# https://fivethirtyeight.com/features/what-are-the-chances-well-meet-for-lunch/

# [This program is wrong.]
import random

max_time = 10000

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# What's the best guess?
tm = float(input("Most probable Time (Tm) = "))

# If everything goes well, how long would it take?
to = float(input("Optimistic Time (To) = "))

# If everything bad happens, how long would it take?

# Probable time
tp = float(input("Pessimistic Time (Tp) = "))

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print 'test'

import random

def chromosome():
    gene = ""
    for i in xrange(8):
        gene += str(random.randint(0,1))
    return gene

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{
	"always_show_minimap_viewport": true,
	"auto_complete_triggers":
	[
		{
			"characters": "<",
			"selector": "text.html"
		},
		{
			"characters": ".",

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import numpy as np
from matplotlib import pyplot as plt
from numpy import zeros, ones, reshape, array, linspace, logspace, add, dot, transpose, shape, negative
# import matplotlib.pyplot as plt
from pylab import scatter, show, title, xlabel, ylabel, plot, contour

a = np.identity(5)

# print(a)

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import csv

csvfile_A = 'example.csv'
csvfile_B = 'anotherexample.csv'
delimiter = '\n'
data_alpha = []
data_beta = []
data_matched = list()
data_no_matched = list()

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egrep -o '\w+(.\w)*@\w+\.\w.\S' *