awesome-attractor/AttractorKernel.cpp

/*
 *	AttractorKernel.cpp
 *	AwesomeAttractor
 *
 *	Created by Joshua Moerman on 07-08-10.
 *	Copyright 2010 Rodo. All rights reserved.
 *
 */

#include "AttractorKernel.hpp"
#include "Logger.hpp"
#include <algorithm>

#pragma mark -
#pragma mark memory

AttractorKernel::AttractorKernel(const unsigned int dimension, const unsigned int numberOfParameters) :
numberOfParameters(numberOfParameters), dimension(dimension){

	try {
		allocate();
	}
	catch (std::exception& e) {
		LogError("Couldn't construct Attractorkernel: %s\n", e.what());
		dealloc();
	}

	std::fill_n(parameters, numberOfParameters, 0.0);
	std::fill_n(vectorNew, dimension, 0.0);
	std::fill_n(vectorOld, dimension, 0.0);

}

AttractorKernel::~AttractorKernel(){
	dealloc();
}

void AttractorKernel::allocate(){
	parameters = new double[numberOfParameters];
	vectorNew = new double[dimension];
	vectorOld = new double[dimension];
}

void AttractorKernel::dealloc(){
	delete[] vectorOld;
	vectorOld = NULL;
	delete[] vectorNew;
	vectorNew = NULL;
	delete[] parameters;
	parameters = NULL;
}

#pragma mark -
#pragma mark parameters

// NOTE: inlining these functions (with the keyword inline) improves performance by at most 1% (tested)

double & AttractorKernel::operator[](const unsigned int index){
	return parameters[index];
}

double const & AttractorKernel::operator[](const unsigned int index) const{
	return parameters[index];
}

unsigned int AttractorKernel::getNumberOfParameters() const{
	return numberOfParameters;
}

#pragma mark -
#pragma mark vector

double const * AttractorKernel::vector() const{
	return vectorNew;
}

double const * AttractorKernel::previousVector() const{
	return vectorOld;
}

unsigned int AttractorKernel::getDimension() const{
	return dimension;
}

#pragma mark -
#pragma mark factory function

#include "AttractorKernel.hpp"
#include "kernels/Logistic.hpp"
#include "kernels/Lorenz3D.hpp"
#include "kernels/Polynomial.hpp"
#include "kernels/PolynomialA3D.hpp"
#include "kernels/Unravel3D.hpp"

AttractorKernel * AttractorKernel::createAttractorKernel(stfu::node& attractor){

	AttractorKernel * myAttractor = NULL;

	// reading basic stuff
	const std::string attractorType = attractor.getValue("type");
	const std::string attractorDimension = attractor.getValue("dimensions");

//	  for ( unsigned int i = 0; attractorType[i] != '\0'; i++ ) {
//		  attractorType[i] = tolower(attractorType[i]);
//	  }
	const unsigned int dimension = atoi(attractorDimension.c_str());

	LogMoreInfo(" Formula: %s\n", attractorType.c_str());
	LogMoreInfo(" Dimensions: %d\n", dimension);


	// depending on type, make the formula object
	if ( attractorType == "lorenz" ){
		if ( dimension == 3 ) {
			myAttractor = new Lorenz3D();
		} else {
			LogError("something wrong\n");
			exit(37);
		}
	} else if ( attractorType == "polynomial" ) {
		const std::string attractorOrde = attractor.getValue("orde");
		const unsigned int orde = atoi(attractorOrde.c_str());
		LogMoreInfo(" Orde: %d\n", orde);
		myAttractor = new Polynomial(dimension, orde);

	} else if ( attractorType == "polynomial a" ) {
		if ( dimension == 3 ) {
			myAttractor = new PolynomialA3D();
		} else {
			LogError("something wrong\n");
			exit(37);
		}
	} else if ( attractorType == "logistic" ) {
		myAttractor = new Logistic(dimension);
	} else if ( attractorType == "unravel" ) {
		if ( dimension == 3 ) {
			myAttractor = new Unravel3D();
		} else {
			LogError("something wrong\n");
			exit(37);
		}
	} else {
		LogError("'%s' not recognized\n", attractorType.c_str());
		exit(37);
	}


	// read parameters
	const unsigned int numberOfParameters = myAttractor->getNumberOfParameters();

	for ( unsigned int i = 0; i < numberOfParameters; i++ ) {
		stfu::node attractorParameters = attractor.getChild("parameters");
		(*myAttractor)[i] = atof(attractorParameters.getValue(i).c_str());
		LogMoreInfo(" Parameter %d set to %f, ", i, (*myAttractor)[i]);
	}

	LogMoreInfo("\n Reading file complete\n");

	return myAttractor;
}