Model

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DSL Element `model{}`

The model element defines the model or component to be used in the simulation or test. Models can be designed in more than one way, therefore the model definition can vary. For example, the CSMLite model build with OMS could contain a Main module, which would contain an @Execute annotation, an entry point for model execution. The model definition could look something like this:

model(classname:"csm.csmliteMain") {
   // Zero to many sub-element definitions
}

A model does not have to contain a Main model control component to work with OMS, as control can be managed by OMS system components. Therefore the entry point for model execution could be an OMS system component, for example:

model(iter:"weathr.moredata")
   //Zero to many sub-element definitions
}

In this example, the OMS system iteration component iter provides the entry point for execution through its interaction with the weathr component.

Element model{}

Specification

Name
`model` - specifies a model for a simulation

Properties	Description	Type	Required
`classname`	the classname of the model	String	No
`iter`	the method and data to be iterated	String	No
`while`	the method and data to iterate while a condition is true	String	No
`until`	the method and data to iterate until a condition is true	String	No
`if`	the method and data to run if a condition is true	String	No

Note

The classpath of the simulation must include all required classes for the model.

Sub-Elements	Description	Type	Default	Occurrences
`components{}`	The components in the model	-	-	Zero to many
`connect{}`	Component output to input connections	-	-	Zero to many
`feedback{}`	Component output to input connections across time steps	-	-	Zero to many
`logging{}`	Component log levels	-	-	Zero to many
`parameter{}`	The model parameter set	-	-	Zero to many

Parent(s)
`sim{}`, `tests{}`, `luca{}`, other root elements

Note

The class as specified in classname and every other class has to be found in the classpath of a simulation. Setting the classpath can be done using command line arguments on simulation execution, using environment variables, or other methods.

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