This document describes an algorithm for simulating customer wait times at a bank. It defines classes for a Queue, Bank, and Client. The Bank class tracks the average wait time and current customer. The tick method decreases the timeRemaining if a customer is being served. The Client class stores the arrival time stamp and wait time. The main function runs a simulation, adding new client tasks and updating banks over time.

1. algoritmo utilizado
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import random
class Queue:
def __init__(self):
self.items = []
def isEmpty(self):
return self.items == []
def enqueue(self, item):
self.items.insert(0,item)
def dequeue(self):
return self.items.pop()
def size(self):
return len(self.items)
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class Bank:
def __init__(self, cph):
self.average = cph
self.attended = None
self.timeRemaining = 0
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def tick(self):
if self.attended != None:
self.timeRemaining = self.timeRemaining - 1
if self.timeRemaining <= 0:
self.attended = None
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2. flowChart: banks
average waiting
time class items.
methods
__init__ tick
state
average = parameter
attended = None
timeRemaining= 0
startNext busy
bank task
methods
__init__ getStamp
getClients
waitTime
state
client =
numberRandom
timeStamp =
parameter
simulation task

3. bank
init
tick
busy
startNext
task
Init
1 parameter
waitTime
getStamp
getClient
main
newTask
simulation
2 parameter
flowChart:
banks average
waiting time
classes
methods.
main
Giovannie Sanchez
Juan Rosado
methods
simulati
on
run
newT
ask
state