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MASON is a fast discrete-event multiagent simulation library core in Java, designed to be the foundation for large custom-purpose Java simulations, and also to provide more than enough functionality for many lightweight simulation needs. MASON contains both a model library and an optional suite of visualization tools in 2D and 3D.

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/*
  Copyright 2006 by Sean Luke and George Mason University
  Licensed under the Academic Free License version 3.0
  See the file "LICENSE" for more information
*/

package sim.field.grid;
import sim.util.*;
/** 
    A wrapper for 2D arrays of doubles.

    

This object expects that the 2D arrays are rectangular. You are encouraged to access the array directly. The object implements all of the Grid2D interface. See Grid2D for rules on how to properly implement toroidal or hexagonal grids.

The width and height of the object are provided to avoid having to say field[x].length, etc. */ public /*strictfp*/ class DoubleGrid2D extends AbstractGrid2D { public double[/**x*/][/**y*/] field; public double[][] getField() { return field; } public DoubleGrid2D (int width, int height) { this.width = width; this.height = height; field = new double[width][height]; } public DoubleGrid2D (int width, int height, double initialValue) { this(width,height); setTo(initialValue); } public DoubleGrid2D (DoubleGrid2D values) { setTo(values); } /** Sets location (x,y) to val */ public final void set(final int x, final int y, final double val) { field[x][y] = val; } /** Returns the element at location (x,y) */ public final double get(final int x, final int y) { return field[x][y]; } /** Sets all the locations in the grid the provided element */ public final DoubleGrid2D setTo(final double thisMuch) { double[] fieldx = null; final int width = this.width; final int height = this.height; for(int x=0;x fieldx[y]) min = fieldx[y]; } return min; } /** Returns the mean value stored in the grid */ public final double mean() { long count = 0; double mean = 0; double[] fieldx = null; final int width = this.width; final int height = this.height; for(int x=0;xtoNoMoreThanThisMuch are changed to toNoMoreThanThisMuch. Returns the modified grid. */ public final DoubleGrid2D upperBound(final double toNoMoreThanThisMuch) { double[] fieldx = null; final int width = this.width; final int height = this.height; for(int x=0;x toNoMoreThanThisMuch) fieldx[y] = toNoMoreThanThisMuch; } return this; } /** Thresholds the grid so that values smaller than toNoLowerThanThisMuch are changed to toNoLowerThanThisMuch Returns the modified grid. */ public final DoubleGrid2D lowerBound(final double toNoLowerThanThisMuch) { double[] fieldx = null; final int width = this.width; final int height = this.height; for(int x=0;xwithThisMuch Returns the modified grid. */ public final DoubleGrid2D add(final double withThisMuch) { final int width = this.width; final int height = this.height; if (withThisMuch==0.0) return this; double[] fieldx = null; for(int x=0;xbyThisMuch Returns the modified grid. */ public final DoubleGrid2D multiply(final double byThisMuch) { if (byThisMuch==1.0) return this; double[] fieldx = null; final int width = this.width; final int height = this.height; for(int x=0;x 0.0) /*Strict*/Math.floor(fieldx[y]); else /*Strict*/Math.ceil(fieldx[y]); } return this; } /** Sets each value in the grid to rint(value). That is, each value is rounded to the closest integer value. If two integers are the same distance, the value is rounded to the even integer. Returns the modified grid. */ public final DoubleGrid2D rint() { double[] fieldx = null; final int width = this.width; final int height = this.height; for(int x=0;x locations clearning it first. * Returns the result DoubleBag (constructing one if null had been passed in). * null may be passed in for the various bags, though it is more efficient to pass in a 'scratch bag' for * each one. */ public final DoubleBag getNeighborsMaxDistance( final int x, final int y, final int dist, final boolean toroidal, DoubleBag result, IntBag xPos, IntBag yPos ) { if( xPos == null ) xPos = new IntBag(); if( yPos == null ) yPos = new IntBag(); if (result == null) result = new DoubleBag(); getNeighborsMaxDistance( x, y, dist, toroidal, xPos, yPos ); result.clear(); for( int i = 0 ; i < xPos.numObjs ; i++ ) result.add( field[xPos.objs[i]][yPos.objs[i]] ); return result; } /** * Gets all neighbors of a location that satisfy abs(x-X) + abs(y-Y) <= dist. This region forms a diamond * 2*dist+1 cells from point to opposite point inclusive, centered at (X,Y). If dist==1 this is * equivalent to the so-called "Von-Neumann Neighborhood" (the four neighbors above, below, left, and right of (X,Y)), * plus (X,Y) itself. * Places each x and y value of these locations in the provided DoubleBags xPos and yPos, clearing the bags first. * Then places into the result DoubleBag the elements at each of those locations clearning it first. * Returns the result DoubleBag (constructing one if null had been passed in). * null may be passed in for the various bags, though it is more efficient to pass in a 'scratch bag' for * each one. */ public final DoubleBag getNeighborsHamiltonianDistance( final int x, final int y, final int dist, final boolean toroidal, DoubleBag result, IntBag xPos, IntBag yPos ) { if( xPos == null ) xPos = new IntBag(); if( yPos == null ) yPos = new IntBag(); if (result == null) result = new DoubleBag(); getNeighborsHamiltonianDistance( x, y, dist, toroidal, xPos, yPos ); result.clear(); for( int i = 0 ; i < xPos.numObjs ; i++ ) result.add( field[xPos.objs[i]][yPos.objs[i]] ); return result; } /** * Gets all neighbors located within the hexagon centered at (X,Y) and 2*dist+1 cells from point to opposite point * inclusive. * If dist==1, this is equivalent to the six neighbors immediately surrounding (X,Y), * plus (X,Y) itself. * Places each x and y value of these locations in the provided DoubleBags xPos and yPos, clearing the bags first. * Then places into the result DoubleBag the elements at each of those locations clearning it first. * Returns the result DoubleBag (constructing one if null had been passed in). * null may be passed in for the various bags, though it is more efficient to pass in a 'scratch bag' for * each one. */ public final DoubleBag getNeighborsHexagonalDistance( final int x, final int y, final int dist, final boolean toroidal, DoubleBag result, IntBag xPos, IntBag yPos ) { if( xPos == null ) xPos = new IntBag(); if( yPos == null ) yPos = new IntBag(); if (result == null) result = new DoubleBag(); getNeighborsHexagonalDistance( x, y, dist, toroidal, xPos, yPos ); result.clear(); for( int i = 0 ; i < xPos.numObjs ; i++ ) result.add( field[xPos.objs[i]][yPos.objs[i]] ); return result; } }





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