/* * 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 * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE * COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, * INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, * STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED * OF THE POSSIBILITY OF SUCH DAMAGE. */ 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.expresso.api.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<HOGMSortDeclaration> sorts = new ArrayList<>(); private List<ConstantDeclaration> constants = new ArrayList<>(); private List<HOGMRandomVariableDeclaration> randoms = new ArrayList<>(); private List<Expression> conditionedPotentials = new ArrayList<>(); public ParsedHOGModel(String inputModel, Expression modelTupleExpr) { this(inputModel, extractSorts(modelTupleExpr), extractConstants(modelTupleExpr), extractRandom(modelTupleExpr), extractConditionedPotentials(modelTupleExpr)); } public ParsedHOGModel(String inputModel, List<HOGMSortDeclaration> sorts, List<ConstantDeclaration> constants, List<HOGMRandomVariableDeclaration> randoms, List<Expression> 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<HOGMSortDeclaration> getSortDeclarations() { return sorts; } public List<ConstantDeclaration> getConstatDeclarations() { return constants; } public List<HOGMRandomVariableDeclaration> getRandomVariableDeclarations() { return randoms; } public List<Expression> 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<HOGMSortDeclaration> extractSorts(Expression modelTupleExpr) { List<HOGMSortDeclaration> result = new ArrayList<>(); if (isLegalModelTuple(modelTupleExpr)) { Expression sortsTuple = modelTupleExpr.get(0); sortsTuple.getArguments().forEach(sortExpr -> result.add(HOGMSortDeclaration.makeSortDeclaration(sortExpr))); } return result; } private static List<ConstantDeclaration> extractConstants(Expression modelTupleExpr) { List<ConstantDeclaration> result = new ArrayList<>(); if (isLegalModelTuple(modelTupleExpr)) { Expression constantsTuple = modelTupleExpr.get(1); constantsTuple.getArguments().forEach(constantExpr -> result.add(ConstantDeclaration.makeConstantDeclaration(constantExpr))); } return result; } private static List<HOGMRandomVariableDeclaration> extractRandom(Expression modelTupleExpr) { List<HOGMRandomVariableDeclaration> result = new ArrayList<>(); if (isLegalModelTuple(modelTupleExpr)) { Expression randomsTuple = modelTupleExpr.get(2); randomsTuple.getArguments().forEach(randomExpr -> result.add(HOGMRandomVariableDeclaration.makeRandomVariableDeclaration(randomExpr))); } return result; } private static List<Expression> extractConditionedPotentials(Expression modelTupleExpr) { List<Expression> result = new ArrayList<>(); if (isLegalModelTuple(modelTupleExpr)) { Expression conditionedPotentialsTuple = modelTupleExpr.get(3); conditionedPotentialsTuple.getArguments().forEach(conditionedPotential -> result.add(conditionedPotential)); } return result; } }