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OptaPlanner solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the examples which demonstrate how to use it in a normal Java application.

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package org.optaplanner.examples.common.persistence;

import java.io.File;
import java.math.BigDecimal;
import java.math.BigInteger;

import org.optaplanner.core.api.domain.solution.PlanningSolution;
import org.optaplanner.examples.common.app.LoggingMain;

/**
 * @param  the solution type, the class with the {@link PlanningSolution} annotation
 */
public abstract class AbstractSolutionImporter extends LoggingMain {

    public boolean acceptInputFile(File inputFile) {
        return inputFile.getName().endsWith("." + getInputFileSuffix());
    }

    public abstract String getInputFileSuffix();

    public abstract Solution_ readSolution(File inputFile);

    public static abstract class InputBuilder extends LoggingMain {

    }

    public static BigInteger factorial(int base) {
        if (base > 100000) {
            // Calculation takes too long
            return null;
        }
        BigInteger value = BigInteger.ONE;
        for (int i = 1; i <= base; i++) {
            value = value.multiply(BigInteger.valueOf(i));
        }
        return value;
    }

    public static String getFlooredPossibleSolutionSize(BigInteger possibleSolutionSize) {
        if (possibleSolutionSize == null) {
            return null;
        }
        if (possibleSolutionSize.compareTo(BigInteger.valueOf(1000L)) < 0) {
            return possibleSolutionSize.toString();
        }
        BigDecimal possibleSolutionSizeBigDecimal = new BigDecimal(possibleSolutionSize);
        int decimalDigits = possibleSolutionSizeBigDecimal.scale() < 0
                ? possibleSolutionSizeBigDecimal.precision() - possibleSolutionSizeBigDecimal.scale()
                : possibleSolutionSizeBigDecimal.precision();
        return "10^" + decimalDigits;
    }

}