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SRI International's AIC PRAiSE (Probabilistic Reasoning As Symbolic Evaluation) Library (for Java 1.8+)
There is a newer version: 1.3.2
/*
 * Copyright (c) 2015, SRI International
 * All rights reserved.
 * Licensed under the The BSD 3-Clause License;
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at:
 * 
 * http://opensource.org/licenses/BSD-3-Clause
 * 
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions
 * are met:
 * 
 * Redistributions of source code must retain the above copyright
 * notice, this list of conditions and the following disclaimer.
 * 
 * Redistributions in binary form must reproduce the above copyright
 * notice, this list of conditions and the following disclaimer in the
 * documentation and/or other materials provided with the distribution.
 * 
 * Neither the name of the aic-praise nor the names of its
 * contributors may be used to endorse or promote products derived from
 * this software without specific prior written permission.
 * 
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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 * COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, 
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package com.sri.ai.praise.model.v1.hogm.antlr;

import java.util.ArrayList;
import java.util.Collections;
import java.util.List;

import com.google.common.annotations.Beta;
import com.sri.ai.expresso.api.Expression;
import com.sri.ai.grinder.library.set.tuple.Tuple;
import com.sri.ai.praise.model.v1.ConstantDeclaration;
import com.sri.ai.praise.model.v1.HOGMRandomVariableDeclaration;
import com.sri.ai.praise.model.v1.HOGMSortDeclaration;

@Beta
public class ParsedHOGModel {
	private String                              inputModel            = null;
	private List           sorts                 = new ArrayList<>();
	private List           constants             = new ArrayList<>();
	private List randoms               = new ArrayList<>();
	private List                    conditionedPotentials = new ArrayList<>();
	
	public ParsedHOGModel(String inputModel, Expression modelTupleExpr) {
		this(inputModel, 
				extractSorts(modelTupleExpr), 
				extractConstants(modelTupleExpr), 
				extractRandom(modelTupleExpr),
				extractConditionedPotentials(modelTupleExpr));
	}
	
	public ParsedHOGModel(String inputModel, List sorts, List constants, List randoms, List conditionedPotentials) {
		this.inputModel = inputModel;
		// Ensure the in-built sorts are included.
		for (HOGMSortDeclaration inBuiltSort : HOGMSortDeclaration.IN_BUILT_SORTS) {
			if (!sorts.contains(inBuiltSort)) {
				this.sorts.add(inBuiltSort);
			}
		}
		
		this.sorts.addAll(sorts);
		this.constants.addAll(constants);
		this.randoms.addAll(randoms);
		this.conditionedPotentials.addAll(conditionedPotentials);
		
		this.sorts                 = Collections.unmodifiableList(this.sorts);
		this.constants             = Collections.unmodifiableList(this.constants);
		this.randoms               = Collections.unmodifiableList(this.randoms);
		this.conditionedPotentials = Collections.unmodifiableList(this.conditionedPotentials);
	}

	public String getInputModel() {
		return inputModel;
	}

	public List getSortDeclarations() {
		return sorts;
	}
	
	public List getConstatDeclarations() {
		return constants;
	}

	public List getRandomVariableDeclarations() {
		return randoms;
	}

	public List getConditionedPotentials() {
		return conditionedPotentials;
	}
	
	//
	// PRIVATE
	//
	private static boolean isLegalModelTuple(Expression modelTupleExpr) {
		boolean result = modelTupleExpr != null && Tuple.isTuple(modelTupleExpr) && modelTupleExpr.numberOfArguments() == 4;
		return result;
	}
	private static List extractSorts(Expression modelTupleExpr) {
		List result = new ArrayList<>();
		
		if (isLegalModelTuple(modelTupleExpr)) {
			Expression sortsTuple = Tuple.get(modelTupleExpr, 0);
			Tuple.getElements(sortsTuple).forEach(sortExpr -> result.add(HOGMSortDeclaration.makeSortDeclaration(sortExpr)));
		}
		return result;
	}
	
	private static List extractConstants(Expression modelTupleExpr) {
		List result = new ArrayList<>();
		
		if (isLegalModelTuple(modelTupleExpr)) {
			Expression constantsTuple = Tuple.get(modelTupleExpr, 1);
			Tuple.getElements(constantsTuple).forEach(constantExpr -> result.add(ConstantDeclaration.makeConstantDeclaration(constantExpr)));
		}
		
		return result;
	}
	
	private static List extractRandom(Expression modelTupleExpr) {
		List result = new ArrayList<>();
		
		if (isLegalModelTuple(modelTupleExpr)) {
			Expression randomsTuple = Tuple.get(modelTupleExpr, 2);
			Tuple.getElements(randomsTuple).forEach(randomExpr -> result.add(HOGMRandomVariableDeclaration.makeRandomVariableDeclaration(randomExpr)));
		}
		
		return result;
	}
	
	private static List extractConditionedPotentials(Expression modelTupleExpr) {
		List result = new ArrayList<>();
		if (isLegalModelTuple(modelTupleExpr)) {
			Expression conditionedPotentialsTuple = Tuple.get(modelTupleExpr, 3);
			Tuple.getElements(conditionedPotentialsTuple).forEach(conditionedPotential -> result.add(conditionedPotential));
		}
		return result;
	}
}