geraintpalmer

import random
import copy

alphabet = list('ABCDEFGHIJKLMNOPQRSTUVWXYZ')
scrambled_alphabet = list('ABCDEFGHIJKLMNOPQRSTUVWXYZ')
random.seed(0)
random.shuffle(scrambled_alphabet)
original_rotor1 = [(s, a) for a, s in zip(alphabet, scrambled_alphabet)]
random.shuffle(scrambled_alphabet)
original_rotor2 = [(s, a) for a, s in zip(alphabet, scrambled_alphabet)]

geraintpalmer

print('this is a test')

geraintpalmer

geraintpalmer

# Create a new Simulation class that inherits from the ciw.Simulation
# class. Has all the attributes and methods of the original class, but
# we can add a new method, "simulate_until_max_customers".

class Simulation(ciw.Simulation):
    def simulate_until_max_customers(self, max_customers):
        """
        Runs the simulation until max_customers have finished reached the Exit Node.
        """
        self.nodes[0].update_next_event_date()

geraintpalmer

from __future__ import division
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import random
import math

def lognormal_cdf(x, m, s):
	x1 = x[0]
	x2 = x[1]
	inner1 = (math.log(x1) - m)/(s*math.sqrt(2))