Various useful tools in simulating discrete system events based on outcome and probabilities
Project description
What’s new in Eventsim 0.5.7
fixed duplicated outcome list in the randgen module
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)
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 methods 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 help notes in the package. Stay tuned for its documentation
Requirements
Any version of python
One of tkinter ot Tkinter is needed to display generated simulation in a tabular format
Download
Download 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 taiwo.kareem36@gmail.com This is still in a test mode please if any errror or bugs is found, feel free to contact the developer and give details
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