Package net.sf.tweety.logics.pl.util
Class CnfSampler
- java.lang.Object
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- net.sf.tweety.commons.BeliefSetSampler<PlFormula,PlBeliefSet>
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- net.sf.tweety.logics.pl.util.CnfSampler
 
 
 
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- All Implemented Interfaces:
 java.util.Iterator<PlBeliefSet>,BeliefSetIterator<PlFormula,PlBeliefSet>
public class CnfSampler extends BeliefSetSampler<PlFormula,PlBeliefSet>
A simple sampler for propositional belief bases. This sampler always generates belief bases in CNF, i.e. every formula appearing in the belief base is a disjunction of literals.- Author:
 - Matthias Thimm
 
 
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Field Summary
Fields Modifier and Type Field Description private doublemaxVariableRatioThe maximum ratio of variables appearing in a single formula.- 
Fields inherited from class net.sf.tweety.commons.BeliefSetSampler
DEFAULT_MAXIMUM_BELIEFBASE_LENGTH, DEFAULT_MINIMUM_BELIEFBASE_LENGTH 
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Constructor Summary
Constructors Constructor Description CnfSampler(Signature signature, double maxVariableRatio)Creates a new sampler for the given signature.CnfSampler(Signature signature, double maxVariableRatio, int minLength, int maxLength)Creates a new sampler for the given signature. 
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Method Summary
Modifier and Type Method Description PlBeliefSetnext()PlFormulasampleFormula()Returns a random formula- 
Methods inherited from class net.sf.tweety.commons.BeliefSetSampler
getMaxLength, getMinLength, getSamplerSignature, hasNext 
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Constructor Detail
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CnfSampler
public CnfSampler(Signature signature, double maxVariableRatio)
Creates a new sampler for the given signature.- Parameters:
 signature- a signaturemaxVariableRatio- the maximum ratio (a value between 0 and 1) of variables of the signature appearing in some formula.
 
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CnfSampler
public CnfSampler(Signature signature, double maxVariableRatio, int minLength, int maxLength)
Creates a new sampler for the given signature.- Parameters:
 signature- a signaturemaxVariableRatio- the maximum ratio (a value between 0 and 1) of variables of the signature appearing in some formula.minLength- the minimum length of knowledge basesmaxLength- the maximum length of knowledge bases
 
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Method Detail
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next
public PlBeliefSet next()
- Specified by:
 nextin interfaceBeliefSetIterator<PlFormula,PlBeliefSet>- Specified by:
 nextin interfacejava.util.Iterator<PlBeliefSet>- Specified by:
 nextin classBeliefSetSampler<PlFormula,PlBeliefSet>
 
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sampleFormula
public PlFormula sampleFormula()
Returns a random formula- Returns:
 - a random formula
 
 
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