aivika-experiment-5.0: Simulation experiments for the Aivika library

CopyrightCopyright (c) 2012-2017 David Sorokin <david.sorokin@gmail.com>
LicenseBSD3
MaintainerDavid Sorokin <david.sorokin@gmail.com>
Stabilityexperimental
Safe HaskellNone
LanguageHaskell98

Simulation.Aivika.Experiment.Types

Description

Tested with: GHC 8.0.1

The module defines the simulation experiments. They automate the process of generating and analyzing the results. Moreover, this module is open to extensions, allowing you to define your own output views for the simulation results, for example, such views that would allow saving the results in PDF or as charts. To decrease the number of dependencies, such possible extenstions are not included in this package, although simple views are provided.

Synopsis

Documentation

data Experiment Source #

It defines the simulation experiment with the specified rendering backend and its bound data.

Constructors

Experiment 

Fields

defaultExperiment :: Experiment Source #

The default experiment.

class ExperimentRendering r where Source #

It allows rendering the simulation results in an arbitrary way.

Associated Types

data ExperimentContext r :: * Source #

Defines a context used when rendering the experiment.

type ExperimentEnvironment r :: * Source #

Defines the experiment environment.

type ExperimentMonad r :: * -> * Source #

Defines the experiment monad type.

Methods

liftExperiment :: r -> ExperimentMonad r a -> IO a Source #

Lift the experiment computation.

prepareExperiment :: Experiment -> r -> ExperimentMonad r (ExperimentEnvironment r) Source #

Prepare before rendering the experiment.

renderExperiment :: Experiment -> r -> [ExperimentReporter r] -> ExperimentEnvironment r -> ExperimentMonad r () Source #

Render the experiment after the simulation is finished, for example, creating the index.html file in the specified directory.

onExperimentCompleted :: Experiment -> r -> ExperimentEnvironment r -> ExperimentMonad r () Source #

It is called when the experiment has been completed.

onExperimentFailed :: Exception e => Experiment -> r -> ExperimentEnvironment r -> e -> ExperimentMonad r () Source #

It is called when the experiment rendering has failed.

Instances

ExperimentRendering (FileRenderer a) Source #

Saving the results of simulation in files when running the experiment.

ExperimentRendering (WebPageRenderer a) Source #

Rendering a web page with results when running the simulation experiment.

data ExperimentGenerator r Source #

This is a generator of the reporter with the specified rendering backend.

Constructors

ExperimentGenerator 

class ExperimentRendering r => ExperimentView v r where Source #

Defines a view in which the simulation results should be saved. You should extend this type class to define your own views such as the PDF document.

Minimal complete definition

outputView

Methods

outputView :: v -> ExperimentGenerator r Source #

Create a generator of the reporter.

data ExperimentData Source #

It describes the source simulation data used in the experiment.

Constructors

ExperimentData 

Fields

data ExperimentReporter r Source #

Defines what creates the simulation reports by the specified renderer.

Constructors

ExperimentReporter 

Fields

runExperiment Source #

Arguments

:: (ExperimentRendering r, Monad (ExperimentMonad r), MonadIO (ExperimentMonad r), MonadException (ExperimentMonad r)) 
=> Experiment

the simulation experiment to run

-> [ExperimentGenerator r]

generators used for rendering

-> r

the rendering backend

-> Simulation Results

the simulation results received from the model

-> IO (Either SomeException ()) 

Run the simulation experiment sequentially. For example, it can be a Monte-Carlo simulation dependentent on the external Parameter values.

runExperimentParallel Source #

Arguments

:: (ExperimentRendering r, Monad (ExperimentMonad r), MonadIO (ExperimentMonad r), MonadException (ExperimentMonad r)) 
=> Experiment

the simulation experiment to run

-> [ExperimentGenerator r]

generators used for rendering

-> r

the rendering backend

-> Simulation Results

the simulation results received from the model

-> IO (Either SomeException ()) 

Run the simulation experiment in parallel.

Make sure that you compile with -threaded and supply +RTS -N2 -RTS to the generated Haskell executable on dual core processor, or you won't get any parallelism. Generally, the mentioned N parameter should correspond to the number of cores for your processor.

In case of need you might want to specify the number of threads directly with help of experimentNumCapabilities, although the real number of parallel threads can depend on many factors.

runExperimentWithExecutor Source #

Arguments

:: (ExperimentRendering r, Monad (ExperimentMonad r), MonadIO (ExperimentMonad r), MonadException (ExperimentMonad r)) 
=> ([IO ()] -> IO a)

an executor that allows parallelizing the simulation if required

-> Experiment

the simulation experiment to run

-> [ExperimentGenerator r]

generators used for rendering

-> r

the rendering backend

-> Simulation Results

the simulation results received from the model

-> IO (Either SomeException a) 

Run the simulation experiment with the specified executor.