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tutorials:rgg-code-structure

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RGG Code structure introduction

The RGG programming language repents the core of almost all GroIMP models. This language extends java and implements the XL-language specification (https://manual.grogra.de/XL/index.html), to enable rule based graph manipulation.

This leads to a programming language based on two paradigms, the object orientation of java and the rule based structure of XL. In order to separate these two rgg is using different brackets to define code blocks. The java blocks are framed by curly brackets {…} and the xl blocks by square brackets […]. These blocks can be embedded into each other recursively and share declared variables.

functions

Even so the function declaration follows the syntax of java, the body of the function can be of both code blocks. In difference to java rgg code allows to start directly with the declaration of functions without creating a class before. (Internally the rgg file is handled as one java class).

If a function is defined by public void and needs no parameters, it is automatically added to the RGG toolbar after compilation (the list of buttons above the 3d view). This functions are the main way to interact with a running RGG simulation.

init

Additionally there are several functions predefined that can be used to change the behavior of the simulation. At this point we will only talk about the initialization: protected void init (). this function is executed after the compilation or a model reset.

Java blocks

The java block allow java syntax up to java 1.6.( this is independent from the java version that is used to run GroIMP). Therefore it is possible to use features such as file reading and writing, mathematical calculations, abstraction/inheritance or library functions. If you are not experienced with java it might be useful for you to look into available online tutorials.(For example https://www.w3schools.com/java/default.asp)

Every new rgg file also imports by default a set of library functions that are used to interact with the graph or the GroIMP platform. This functions can be explored in the function explorer in the software. You can find it on the main menu under 'Help/Function Browser'.

Moreover rgg comes with some additions to the java syntax, or more accurate to the syntax of java 6.

Modules

A module in RGG is very similar to a class in java, it can extend other modules or implements java interfaces. It can also hold functions like 'getDiameter()' in the example below. One large difference is that a in a module the constructor is different. The parameters are unlink in a java class directly defined in the head of the module (see below 'float len') and the code executed on the initialization of a module is defined by just a second par of curly brackets (see below {setShader(GREEN);}).

Besides that the main difference is the use case. A module is always a GroIMP Node, meaning it can be added to the GroIMP simulation graph (ProjectGraph) similar to turtle commands or the base 3d Objects.

module A(float len) extends Sphere(0.1)
{
	{setShader(GREEN);}
 
	public float getDiameter(){
		return radius*2;
	}	
}

It is also possible to have modules that do not extend any other object and have no direct effect on the graph. These nodes can be useful for aggregations, multi scaling or just as place holders.

Instantiation

module Branch(float len) extends M(len)==> 
     F(len/4).(setShader(GREEN))
     F(len/4).(setShader(BLUE))
     F(len/4).(setShader(GREEN))
     F(len/4).(setShader(BLUE));

Queries

In GroIMP the project graph is considered to hold almost all information on the simulation. Therefore it can also be seen as a knowledge graph. To retrieve this knowledge rgg uses the XL query system. To use this queries in a java block they have to be framed by (*…*) as shown in the examples below. In that way they return a collection object, which then can be like other java objects. Moreover GroIMP comes with a set of predefined Analytical Operators to analyze this collections.

public void calc(){
	long countA = count((*RU(30) RH(90) A*));
	long countM = count((*M*));
	if(countM>0){
		println((float)countA/(float)countM);
	}
	println(sum((*Branch*).len));
}
public void growRadius(){
	(*A*)[radius]+=0.1;
}

Lambda expressions

XL Blocks

public void run ()[
	A(x) ==> F(x) [RU(30) RH(90) A(x*0.8)] [RU(-30) RH(90) A(x*0.8)];
]
public void getDiameter()[
    	a:A::>{println(a.getDiameter());}
]
tutorials/rgg-code-structure.1728638166.txt.gz · Last modified: 2024/10/11 11:16 by tim