eventsim 0.5.7

Various useful tools in simulating discrete system events based on outcome and probabilities

What’s new in Eventsim 0.5.7

• fixed double outcome list generation in the randgen module

• fixed errors shown when “r” or “s” is the only argument given

• Changed trimlist in the discrete module to approximate to 4 decimal places. (Formerly 3 decimal places)

What’s new in Eventsim 0.5.6

• Fixed some bugs, optimised program

• Renamed models to discrete

• Now all classes begin with an uppercase

• discrete(formerly models) now has its own class for easy manipulation

• Two more methods added to discrete (trimval and trimlist) to display number output in a clean way and approximate to 4d.p)

Note

please if you had a previous version of eventsim, it is advisable to uninstall it first in case of errors. Use:

pip uninstall eventsim

Description

eventsim makes discrete event easy to simulate

Currently, it consists of three modules: discrete, randgen and simevent

MODULES

Discrete

Contains a class Calculate that takes two lists as arguments and an optional integer value (steps) for simplifying and calculating:

• probability,

• estimated variance,

• estimated mean,

• estimated standard deviation,

• expectation value,

• discreteEmp

as well as two other methods trimval that takes in one argument, (numbers or lists and strips it of leading zeros and round up to 4 decimal places

and trimlist that takes in as many arguments as possibe and does the same thing trimval does but very useful if there is a nested list in the list of arguments.

They both help to display lists and numbers in a better and easier way to read rather than have values with many leading decimal numbers in a list keeping it concise.

Randgen

contains a class Generate that takes integer numbers as arguments (from no argument to 5 arguments) with optional arguments being “r” or “s”. r for reverse sorted and s for ascending order sort. It is used to generate:

• random outcome,

• a unique outcome

• times of occurrence of outcome

• probability of occurrence

• cummulative probability of occurrence

Simevent

contains classes for generating and estimating events that happens in a workplace scenario. Simulating events like:

• Interarrival time

• Service time

• Arrival time

• Time when service begins

• Time when service ends

• Wait time in queue

• Time customer spends in system

• Idle time of server

• table display format you you want a more structured approach

This module currently contains three classes, Randomsim, Simulate, Simtable

• Randomsim which generates random values to populate the inter-arrival and service time ad then calculates the rest of the values (accepts 0 - 3 arguments)

• Simulate, a more flexible class that allows you to input your own inter-arrival time and service time as a list (takes 1-2 arguments [inter-arrival, service] time)

• Simtable contains one method, drawtable() for generating a tabled format of all the data using tkinter frames.make life easier by importing all classes from simevent

e.g. from eventsim.simevent import *

or risk having to import at least three different modules by youself.Using drawtable is really simple, you only need to pass in the instance of your simulation class as first argument and Tk() as second argument and your table will be generated for you

e.g. a = Randomsim(4,6,9)
simtable(a, Tk()).drawtable()

help on using this package is included in the examples. If you have an old version of eventsim, you are adviced to delete/uninstall the old one if the update isn’t working well

For more help information please see examples in the package or checkout its documentation at http://www.pythonhosted.org/eventsim/

Requirements

• Any version of python

• One of tkinter ot Tkinter is needed to display generated simulation in a tabular format

Download

Download and install using:

pip install eventsim

Acknowledgements

I was inspired to write this package after my university coursework demanded using python to simulate events. I hope Modelling and Simulation students find it useful

All glory belongs to God for helping me in completing my first module.

Contact

If further information or help is needed, feel free to contact me on my email at [e-mail] This is still in a test mode please if any errror or bugs is found, feel free to contact the developer and give details