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StepSim - Python Step-based Simulation Package

Project description

About

StepSim is a lightweight step-based simulation module written in Python. It can do simple real-time simulations of discrete systems. StepSim supports step-by-step simulation or can run until a break condition occurs.

Simulations are made up of containers and converters. A container stores a discrete amount of units of a certain type. A converter draws units from one or more containers and delivers the result to another container.

StepSim does not even attempt to do any parallel processing. It processes converters round-robin in a fixed order.

Prerequisites

Python (tested on Python 3.1.2 and 2.6.5) http://www.python.org

Installation

Unzip the file, then at the command line run

python setup.py install

Running Tests

Open a shell / DOS window, navigate to the stepsim directory, and run

python -m doctest README

Documentation

To read the API documentation, open a shell / DOS window, navigate to the stepsim directory, and run

pydoc stepsim

You can create a HTML version using

pydoc -w stepsim

Example

First import the stepsim module:

>>> import stepsim

To get verbose output, activate logging to console:

>>> stepsim.log_to_stdout()

Now create some containers:

>>> cashbox = stepsim.Container("cashbox", "EUR", 10)
>>> storage = stepsim.Container("storage", "parts")

Then create a converter and set up the draw-deliver-ratio:

>>> buyer = stepsim.Converter("buyer", 2, (cashbox, 3), (storage, 1))
buyer: Adding source 'cashbox', drawing 3 EUR per step.

We are ready to create a simulation:

>>> s = stepsim.Simulation(buyer)
Adding converter 'buyer' to simulation.
Current containers: ['cashbox', 'storage']
>>> s
<Simulation consisting of [<buyer: converting from ['cashbox'] to storage>]>

The step() method is used to advance the simulation by one step:

>>> s.step()
buyer: Ready to draw resources
buyer: Drawing 3 EUR from cashbox. cashbox has 7 EUR left now.
Active Container of buyer: <cashbox: 7 EUR in stock>

It is also possible to check conditions inbetween. The simulation instance offers a convenience method to do this using a string describing the condition:

>>> s.check("cashbox == 10")
False
>>> s.check("cashbox != 10")
True
>>> s.check("storage >= 0")
True

It is possible to evaluate how many steps it will take until a certain condition is met:

>>> stepsim.be_quiet()
>>> s.estimate_finish("storage == 2", 100)
8

A maximum step value will prevent hanging on impossible conditions:

>>> s.estimate_finish("cashbox < 1", 100)
100

You can now step on through the simulation or simply let it run from the current state until an end condition is satisfied. In this case we let it run until the buyer can not buy any more parts:

>>> stepsim.log_to_stdout()
>>> s.run(lambda : not buyer.last_step_successful)
Starting simulation.
--- Step 2: -----------------------------------------------
buyer: Conversion in progress, 2 steps left.
Active Container of buyer: None
--- Step 3: -----------------------------------------------
buyer: Conversion in progress, 1 steps left.
Active Container of buyer: None
--- Step 4: -----------------------------------------------
buyer: Delivering 1 parts to storage. storage stock is 1 parts now.
Active Container of buyer: <storage: 1 parts in stock>
--- Step 5: -----------------------------------------------
buyer: Ready to draw resources
buyer: Drawing 3 EUR from cashbox. cashbox has 4 EUR left now.
Active Container of buyer: <cashbox: 4 EUR in stock>
--- Step 6: -----------------------------------------------
buyer: Conversion in progress, 2 steps left.
Active Container of buyer: None
--- Step 7: -----------------------------------------------
buyer: Conversion in progress, 1 steps left.
Active Container of buyer: None
--- Step 8: -----------------------------------------------
buyer: Delivering 1 parts to storage. storage stock is 2 parts now.
Active Container of buyer: <storage: 2 parts in stock>
--- Step 9: -----------------------------------------------
buyer: Ready to draw resources
buyer: Drawing 3 EUR from cashbox. cashbox has 1 EUR left now.
Active Container of buyer: <cashbox: 1 EUR in stock>
--- Step 10: -----------------------------------------------
buyer: Conversion in progress, 2 steps left.
Active Container of buyer: None
--- Step 11: -----------------------------------------------
buyer: Conversion in progress, 1 steps left.
Active Container of buyer: None
--- Step 12: -----------------------------------------------
buyer: Delivering 1 parts to storage. storage stock is 3 parts now.
Active Container of buyer: <storage: 3 parts in stock>
--- Step 13: -----------------------------------------------
buyer: Ready to draw resources
buyer: Cannot draw 3 EUR from cashbox, only 1 left.
Active Container of buyer: None
--- Break condition met, simulation finished. ---------------
Final state after 13 steps:
<cashbox: 1 EUR in stock>
<storage: 3 parts in stock>

You can export the simulation graph in the DOT graph language (see http://www.graphviz.org/):

>>> s.save_dot("part_buyer.dot")
Writing DOT file.
digraph {
    graph [size=5] ;
    node [fontsize=10, fontname="Bitstream Vera Sans"] ;
    "cashbox" [shape=box];
    "cashbox" -> "buyer" ;
    "storage" [shape=box];
    "buyer" -> "storage" ;
}
<BLANKLINE>

Clean up:

>>> import os
>>> os.remove("part_buyer.dot")

The file ‘making_cakes.py’ shows a more elaborate example. It is included in the ZIP archive and will be installed in ‘share/doc/stepsim/examples’.

License

StepSim is licensed under the GPL. See the file COPYING for details.

Author

  1. Florian Berger

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