/*
 * This file is part of the PSL software.
 * Copyright 2011-2015 University of Maryland
 * Copyright 2013-2023 The Regents of the University of California
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.linqs.psl.application.learning.weight.search.grid;

import org.linqs.psl.application.learning.weight.search.WeightSampler;
import org.linqs.psl.config.Options;
import org.linqs.psl.database.Database;
import org.linqs.psl.model.Model;
import org.linqs.psl.model.rule.Rule;

import java.util.List;

/**
 * A grid search that just randomly samples from a continuous grid [0, 1).
 */
public class ContinuousRandomGridSearch extends BaseGridSearch {
    private WeightSampler weightSampler;

    public ContinuousRandomGridSearch(List<Rule> rules, Database trainTargetDatabase, Database trainTruthDatabase,
                                      Database validationTargetDatabase, Database validationTruthDatabase, boolean runValidation) {
        super(rules, trainTargetDatabase, trainTruthDatabase, validationTargetDatabase, validationTruthDatabase, runValidation);

        weightSampler = new WeightSampler(mutableRules.size());

        numLocations = Options.WLA_CRGS_MAX_LOCATIONS.getInt();
    }

    @Override
    protected void getWeights(float[] weights) {
        // Random choice.
        weightSampler.getRandomWeights(weights);
    }

    @Override
    protected boolean chooseNextLocation() {
        currentLocation = "" + objectives.size();
        return true;
    }
}
