(See also the Algorithms part.)Post detailsThe program I am putting for being reviewed does not fit entirely in a single post, so I have to resort to the equation by Niklaus Wirth:Algorithms + Data Structures = ProgramsThis part is about data structures: a set of classes that do not do anything fancy. Of course, you could consider PrioritizedQueue (to be posted in the Algorithms part) to be a data structure, yet I have to place it to the Algorithms part after all.SimulationI am considering a (hopefully fictional) academic setting, where there is a lunch cafeteria in a campus. The academic society recognizes four privilege levels (listed from most privileged to least privileged):doctors (PhD),masters (MSc),bachelors (BSc),undergraduates.Now, for example, when a master goes for a lunch, he skips all undergraduates and bachelors in the queue, and appends him-/herself to the end of queue consisting of masters. (If a user want to consider a fair queue, he/she could just create a population with each member with the same academic degree.)As often, we do this for gathering statistics: we gather minimum, average and maximum waiting times for each privilege level; also, we compute the standard deviation of the waiting times within each privilege level. Apart from that, we also compute the same set of statistical variables for the idle time of the cafeteria cashier.CodeAcademicDegree.java:package net.coderodde.simulation.lunch;/** * This class implements an enumeration over academic degrees. *  * @author Rodion rodde Efremov * @version 1.6 (Dec 2, 2015)  */public enum AcademicDegree {    // The order denotes priority from highest to lowest.    DOCTOR       (PhD),    MASTER       (MSc),    BACHELOR     (BSc),    UNDERGRADUATE(Undergraduate);    private final String description;    @Override    public String toString() {        return description;    }    private AcademicDegree(String description) {        this.description = description;    }}Cashier.java:package net.coderodde.simulation.lunch;import java.util.Objects;import java.util.Random;import static net.coderodde.simulation.lunch.Utils.checkMean;import static net.coderodde.simulation.lunch.Utils.checkStandardDeviation;/** * This class models the action of a cashier. *  * @author Rodion rodde Efremov * @version 1.6 (Dec 4, 2015) */public final class Cashier {    private final double meanServiceTime;    private final double standardDeviationOfServiceTime;    private final Random random;    /**     * Initiates a strong fluent API for creating a {@code Cashier}.     *      * @param  random the random number generator to use.     * @return the mean service time selector.     */    public static MeanServiceTimeSelector withRandom(Random random) {        Objects.requireNonNull(random, The input Random is null.);        Configuration configuration = new Configuration();        configuration.random = random;        return new MeanServiceTimeSelector(configuration);    }    /**     * Initiates a strong fluent API for creating a {@code Cashier} using a      * default random number generator.     *      * @return the mean service time selector.      */    public static MeanServiceTimeSelector withDefaultRandom() {        return withRandom(new Random());    }    public final static class MeanServiceTimeSelector {        private final Configuration configuration;        private MeanServiceTimeSelector(Configuration configuration) {            this.configuration = configuration;        }        /**         * Selects the mean service time and returns a standard deviation          * selector.         *          * @param  meanServiceTime the mean service time in seconds.         * @return a standard deviation selector.         */        public StandardDeviationSelector             withMeanServiceTime(double meanServiceTime) {            checkMean(meanServiceTime);            configuration.meanServiceTime = meanServiceTime;            return new StandardDeviationSelector(configuration);        }    }    public final static class StandardDeviationSelector {        private final Configuration configuration;        private StandardDeviationSelector(Configuration configuration) {            this.configuration = configuration;        }        /**         * Selects a standard deviation for the service time and returns the          * {@code Cashier} using the gathered parameters.         *          * @param  standardDeviationOfServiceTime the standard deviation of the         *                                        service time in seconds.         * @return a {@code Cashier} object.         */        public Cashier withStandardDeviationOfServiceTime(                double standardDeviationOfServiceTime) {            checkStandardDeviation(standardDeviationOfServiceTime);            return new Cashier(configuration.meanServiceTime,                               standardDeviationOfServiceTime,                               configuration.random);        }    }    private Cashier(double meanServiceTime,                     double standardDeviationOfServiceTime,                    Random random) {        this.meanServiceTime = meanServiceTime;        this.standardDeviationOfServiceTime = standardDeviationOfServiceTime;        this.random = random;    }    public int getServiceTime() {        return (int)(Math.round(meanServiceTime +                                     standardDeviationOfServiceTime *                                     random.nextGaussian()));    }    private static final class Configuration {        private Random random;        private double meanServiceTime;    }}LunchQueueEvent.java:package net.coderodde.simulation.lunch;/** * This class describes a lunch queue event. *  * @author Rodion rodde Efremov * @version 1.6 (Dec 2, 2015). */final class LunchQueueEvent implements Comparable<LunchQueueEvent> {    private final Person person;    private final int timeStamp;    LunchQueueEvent(Person person, int timeStamp) {        this.person = person;        this.timeStamp = timeStamp;    }    Person getPerson() {        return person;    }    int getTimestamp() {        return timeStamp;    }    @Override    public int compareTo(LunchQueueEvent anotherEvent) {        return Double.compare(timeStamp, anotherEvent.timeStamp);    }}Person.java:package net.coderodde.simulation.lunch;import java.util.Objects;/** * This class implements a record for a person. *  * @author Rodion rodde Efremov * @version 1.6 (Dec 2, 2015) */public final class Person implements Comparable<Person> {    private final String firstName;    private final String lastName;    private final AcademicDegree academicDegree;    private final String stringRepresentation;    private final String identity;    public static LastNameSelector withFirstName(String firstName) {        Objects.requireNonNull(firstName,                                The first name of a person is null.);        Configuration configuration = new Configuration();        configuration.firstName = firstName;        return new LastNameSelector(configuration);    }    public static final class LastNameSelector {        private final Configuration configuration;        private LastNameSelector(Configuration configuration) {            this.configuration = configuration;        }        public AcademicDegreeSelector withLastName(String lastName) {            Objects.requireNonNull(lastName,                                    The last name of a person is null.);            configuration.lastName = lastName;            return new AcademicDegreeSelector(configuration);        }    }    public static final class AcademicDegreeSelector {        private final Configuration configuration;        AcademicDegreeSelector(Configuration configuration) {            this.configuration = configuration;        }        public Person withAcademicDegree(AcademicDegree degree) {            Objects.requireNonNull(degree, The academic degree is null.);            return new Person(configuration.firstName,                              configuration.lastName,                              degree);        }    }    private Person(String firstName,                    String lastName,                    AcademicDegree academicDegree) {        this.firstName      = firstName;        this.lastName       = lastName;        this.academicDegree = academicDegree;        this.stringRepresentation = [ + firstName +   + lastName + ,  +                                           academicDegree + ];        this.identity = firstName +   + lastName;    }    public String getFirstName() {        return firstName;    }    public String getLastName() {        return lastName;    }    public AcademicDegree getAcademicDegree() {        return academicDegree;    }    @Override    public String toString() {        return stringRepresentation;    }    @Override    public int compareTo(Person o) {        return this.academicDegree.compareTo(o.getAcademicDegree());    }    @Override    public int hashCode() {        return identity.hashCode();    }    @Override    public boolean equals(Object obj) {        if (obj == null) {            return false;        }        if (getClass() != obj.getClass()) {            return false;        }        Person other = (Person) obj;        return Objects.equals(identity, other.identity);    }    private static final class Configuration {        private String firstName;        private String lastName;    }}Population.java:package net.coderodde.simulation.lunch;import java.util.ArrayDeque;import java.util.ArrayList;import java.util.Collections;import java.util.HashMap;import java.util.List;import java.util.Map;import java.util.Objects;import java.util.Queue;import java.util.Set;import static net.coderodde.simulation.lunch.Utils.checkTime;/** * This class represents simulated population. *  * @author Rodion rodde Efremov * @version 1.6 (Dec 3, 2015) */public final class Population {    private final Map<Person, Integer> arrivalTimeMap = new HashMap<>();    public final class ArrivalTimeSelector {        private final Person person;        ArrivalTimeSelector(Person person) {            this.person = Objects.requireNonNull(person,                                                 The input person is null.);        }        public boolean withArrivalTime(int arrivalTime) {            checkTime(arrivalTime);            if (arrivalTimeMap.containsKey(person)) {                return false;            }            arrivalTimeMap.put(person, arrivalTime);            return true;        }    }    public ArrivalTimeSelector addPerson(Person person) {        return new ArrivalTimeSelector(person);    }    public int size() {        return arrivalTimeMap.size();    }    Set<Person> getPersonSet() {        return Collections.<Person>unmodifiableSet(arrivalTimeMap.keySet());    }    Queue<LunchQueueEvent> toEventQueue() {        List<LunchQueueEvent> eventList = new ArrayList<>(size());        getPersonSet().stream().forEach((person) -> {            eventList.add(new LunchQueueEvent(person,                                               arrivalTimeMap.get(person)));        });        Collections.sort(eventList,                         (event1, event2) -> {            // Try to compare by the time stamps of the events.            int cmp = event1.compareTo(event2);            if (cmp != 0) {                return cmp;            }            // The two input events have same time stamp, break ties by person            // priority.            return event1.getPerson().compareTo(event2.getPerson());        });        return new ArrayDeque<>(eventList);    }}SimulationResult.java:package net.coderodde.simulation.lunch;import java.util.ArrayList;import java.util.Collections;import java.util.HashMap;import java.util.List;import java.util.Map;/** * This class holds the statistics of a simulation. *  * @author Rodion rodde Efremov * @version 1.6 (Dec 2, 2015) */public final class SimulationResult {    private static final String NL = \n;    private static final String SKIP =     ;    private static final int NO_DATA = -1;    private final Map<AcademicDegree, Integer> waitAverageMap = new HashMap<>();    private final Map<AcademicDegree, Integer> waitStandardDeviationMap =             new HashMap<>();    private final Map<AcademicDegree, Integer> waitMinMap = new HashMap<>();    private final Map<AcademicDegree, Integer> waitMaxMap = new HashMap<>();    private final Map<Person, LunchQueueEvent> arrivalEventMap;    private final Map<Person, LunchQueueEvent> servedEventMap;    private int cashierMinimumIdleTime = NO_DATA;    private int cashierAverageIdleTime = NO_DATA;    private int cashierMaximumIdleTime = NO_DATA;    private int cashierStandardDeviation = NO_DATA;    public int getMinimumWaitTime(AcademicDegree degree) {        return waitMinMap.getOrDefault(degree, NO_DATA);    }    public int getWaitAverage(AcademicDegree degree) {        return waitAverageMap.getOrDefault(degree, NO_DATA);    }    public int getMaximumWaitTime(AcademicDegree degree) {        return waitMaxMap.getOrDefault(degree, NO_DATA);    }    public int getWaitStandardDeviation(AcademicDegree degree) {        return waitStandardDeviationMap.getOrDefault(degree, NO_DATA);    }    public int getCashierMinimumIdleTime() {        return cashierMinimumIdleTime;    }    public int getCashierAverageIdleTime() {        return cashierAverageIdleTime;    }    public int getCashierMaximumIdleTime() {        return cashierMaximumIdleTime;    }    public int getCashierStandardDeviation() {        return cashierStandardDeviation;    }    SimulationResult(Map<Person, LunchQueueEvent> arrivalEventMap,                     Map<Person, LunchQueueEvent> servedEventMap) {        this.arrivalEventMap = arrivalEventMap;        this.servedEventMap = servedEventMap;    }    void putWaitMinimumTime(AcademicDegree degree, int minimumWaitTime) {        waitMinMap.put(degree, minimumWaitTime);    }    void putAverageWaitTime(AcademicDegree degree, int averageTime) {        waitAverageMap.put(degree, averageTime);    }    void putWaitMaximumTime(AcademicDegree degree, int maximumWaitTime) {        waitMaxMap.put(degree, maximumWaitTime);    }    void putWaitTimeStandardDeviation(AcademicDegree degree,                                       int timeStandardDeviation) {        waitStandardDeviationMap.put(degree, timeStandardDeviation);    }    void putCashierMinimumIdleTime(int cashierMinimumIdleTime) {        this.cashierMinimumIdleTime = cashierMinimumIdleTime;    }    void putCashierAverageIdleTime(int cashierAverageIdleTime) {        this.cashierAverageIdleTime = cashierAverageIdleTime;    }    void putCashierMaximumIdleTime(int cashierMaximumIdleTime) {        this.cashierMaximumIdleTime = cashierMaximumIdleTime;    }    void putCashierStandardDeviation(int cashierStandardDeviation) {        this.cashierStandardDeviation = cashierStandardDeviation;    }    @Override    public String toString() {        StringBuilder sb = new StringBuilder();        List<Person> personList = new ArrayList<>(arrivalEventMap.keySet());        Collections.<Person>sort(personList,                                 (p1, p2) -> {            double arrivalTime1 = arrivalEventMap.get(p1).getTimestamp();            double servedTime1 = servedEventMap.get(p1).getTimestamp();            double arrivalTime2 = arrivalEventMap.get(p2).getTimestamp();            double servedTime2 = servedEventMap.get(p2).getTimestamp();            return Double.compare(servedTime1 - arrivalTime1,                                   servedTime2 - arrivalTime2);        });        for (Person person : personList) {            sb.append(person.toString())              .append(, wait time: )              .append((int)(servedEventMap.get(person).getTimestamp() -                            arrivalEventMap.get(person).getTimestamp()))              .append( seconds.)              .append(NL);        }        toString(sb, AcademicDegree.DOCTOR);        toString(sb, AcademicDegree.MASTER);        toString(sb, AcademicDegree.BACHELOR);        toString(sb, AcademicDegree.UNDERGRADUATE);        sb.append(Cashier:)          .append(NL)          .append(SKIP)          .append(Minimum idle time:  )          .append(getCashierMinimumIdleTime())          .append( seconds.)          .append(NL)          .append(SKIP)          .append(Average idle time:  )          .append(getCashierAverageIdleTime())          .append( seconds.)          .append(NL)          .append(SKIP)          .append(Maximum idle time:  )          .append(getCashierMaximumIdleTime())          .append( seconds.)          .append(NL)          .append(SKIP)          .append(Standard deviation: )          .append(getCashierStandardDeviation())          .append( seconds.);        return sb.toString();    }    private void toString(StringBuilder sb, AcademicDegree degree) {        sb.append(degree.toString()).append(:).append(NL);        sb.append(SKIP)          .append(Minimum wait time:  )          .append(getMinimumWaitTime(degree))          .append( seconds.)          .append(NL);        sb.append(SKIP)          .append(Average wait time:  )          .append(getWaitAverage(degree))          .append( seconds.)          .append(NL);        sb.append(SKIP)          .append(Maximum wait time:  )          .append(getMaximumWaitTime(degree))          .append( seconds.)          .append(NL);        sb.append(SKIP)          .append(Standard deviation: )          .append(getWaitStandardDeviation(degree))          .append( seconds.)          .append(NL);    }}Utils.java:package net.coderodde.simulation.lunch;/** * This class contains miscellaneous utilities. *  * @author Rodion rodde Efremov * @version 1.6 (Dec 2, 2015) */final class Utils {    public static void checkMean(double mean) {        if (Double.isNaN(mean)) {            throw new IllegalArgumentException(                    The mean is NaN (not-a-number):);        }        if (Double.isInfinite(mean)) {            throw new IllegalArgumentException(The mean is infinite:  + mean);        }    }    public static void checkStandardDeviation(double deviation) {        if (Double.isNaN(deviation)) {            throw new IllegalArgumentException(                    The standard deviation is NaN (not-a-number):);        }        if (Double.isInfinite(deviation)) {            throw new IllegalArgumentException(                    The standard deviation is infinite:  + deviation);        }        if (deviation < 0.0) {            throw new IllegalArgumentException(                    The standard deviation is negative:  + deviation);        }    }    public static void checkTime(double time) {        if (Double.isNaN(time)) {            throw new IllegalArgumentException(                    The input time is NaN (not-a-number).);        }        if (Double.isInfinite(time)) {            throw new IllegalArgumentException(                    The input time is infinite:  + time);        }    }}(I will post the algorithms part shortly.)Is my coding style, naming conventions, API design reasonable? Any critique much appreciated!
Discrete event simulation of a prioritized lunch queue in Java (Data structures)
java;simulation