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/**
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* Copyright (C) 2007 EDIT
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* European Distributed Institute of Taxonomy
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* http://www.e-taxonomy.eu
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*
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* The contents of this file are subject to the Mozilla Public License Version 1.1
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* See LICENSE.TXT at the top of this package for the full license terms.
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*/
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package eu.etaxonomy.cdm.model.description;
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import java.util.UUID;
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import javax.persistence.Entity;
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import javax.xml.bind.annotation.XmlAccessType;
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import javax.xml.bind.annotation.XmlAccessorType;
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import javax.xml.bind.annotation.XmlRootElement;
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import javax.xml.bind.annotation.XmlType;
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import org.apache.log4j.Logger;
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import org.hibernate.envers.Audited;
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import org.hibernate.search.annotations.Indexed;
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import eu.etaxonomy.cdm.model.common.DefinedTermBase;
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import eu.etaxonomy.cdm.model.common.Language;
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import eu.etaxonomy.cdm.model.common.TermVocabulary;
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/**
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/**
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* This class represents terms describing different statistical measures (such
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* as "sample size", "minimum" or "average") for {@link Feature features} that can be
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* described with numerical values (like for instance weights or temperature).
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*
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* @author m.doering
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* @version 1.0
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* @created 08-Nov-2007 13:06:54
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*/
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@XmlAccessorType(XmlAccessType.FIELD)
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@XmlType(name = "StatisticalMeasure")
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@XmlRootElement(name = "StatisticalMeasure")
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@Entity
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@Indexed(index = "eu.etaxonomy.cdm.model.common.DefinedTermBase")
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@Audited
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public class StatisticalMeasure extends DefinedTermBase<StatisticalMeasure> {
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private static final long serialVersionUID = 9168097283660941430L;
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@SuppressWarnings("unused")
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private static final Logger logger = Logger.getLogger(StatisticalMeasure.class);
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private static final UUID uuidMin = UUID.fromString("2c8b42e5-154c-42bd-a301-03b483275dd6");
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private static final UUID uuidMax = UUID.fromString("8955815b-7d21-4149-b1b7-d37af3c2046c");
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private static final UUID uuidAverage = UUID.fromString("264c3979-d551-4795-9e25-24c6b533fbb1");
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private static final UUID uuidSampleSize = UUID.fromString("571f86ca-a44c-4484-9981-11fd82138a7a");
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private static final UUID uuidVariance = UUID.fromString("4d22cf5e-89ff-4de3-a9ae-12dbeda3faba");
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private static final UUID uuidTypicalLowerBoundary = UUID.fromString("8372a89a-35ad-4755-a881-7edae6c37c8f");
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private static final UUID uuidTypicalUpperBoundary = UUID.fromString("9eff88ba-b8e7-4631-9e55-a50bd16ba79d");
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private static final UUID uuidStandardDeviation = UUID.fromString("9ee4397e-3496-4fe1-9114-afc7d7bdc652");
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private static StatisticalMeasure STANDARD_DEVIATION;
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private static StatisticalMeasure TYPICAL_UPPER_BOUNDARY;
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private static StatisticalMeasure TYPICAL_LOWER_BOUNDARY;
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private static StatisticalMeasure VARIANCE;
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private static StatisticalMeasure SAMPLE_SIZE;
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private static StatisticalMeasure AVERAGE;
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private static StatisticalMeasure MAX;
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private static StatisticalMeasure MIN;
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// ************* CONSTRUCTORS *************/
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/**
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* Class constructor: creates a new empty statistical measure instance.
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*
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* @see #StatisticalMeasure(String, String, String)
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*/
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public StatisticalMeasure() {
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}
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public StatisticalMeasure(String term, String label, String labelAbbrev) {
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super(term, label, labelAbbrev);
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}
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//********* METHODS **************************************/
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/**
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* Creates a new empty statistical measure instance.
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*
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* @see #NewInstance(String, String, String)
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*/
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public static StatisticalMeasure NewInstance(){
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return new StatisticalMeasure();
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}
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/**
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* Creates a new statistical measure instance with a description
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* (in the {@link Language#DEFAULT() default language}), a label and a label abbreviation.
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*
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* @param term the string (in the default language) describing the
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* new statistical measure to be created
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* @param label the string identifying the new statistical measure
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* to be created
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* @param labelAbbrev the string identifying (in abbreviated form) the
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* new statistical measure to be created
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* @see #NewInstance()
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*/
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public static StatisticalMeasure NewInstance(String term, String label, String labelAbbrev){
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return new StatisticalMeasure(term, label, labelAbbrev);
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}
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public static final StatisticalMeasure MIN(){
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return MIN;
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}
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public static final StatisticalMeasure MAX(){
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return MAX;
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}
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public static final StatisticalMeasure AVERAGE(){
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return AVERAGE;
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}
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public static final StatisticalMeasure SAMPLE_SIZE(){
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return SAMPLE_SIZE;
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}
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public static final StatisticalMeasure VARIANCE(){
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return VARIANCE;
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}
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public static final StatisticalMeasure TYPICAL_LOWER_BOUNDARY(){
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return TYPICAL_LOWER_BOUNDARY;
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}
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public static final StatisticalMeasure TYPICAL_UPPER_BOUNDARY(){
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return TYPICAL_UPPER_BOUNDARY;
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}
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public static final StatisticalMeasure STANDARD_DEVIATION(){
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return STANDARD_DEVIATION;
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}
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@Override
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protected void setDefaultTerms(TermVocabulary<StatisticalMeasure> termVocabulary) {
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StatisticalMeasure.AVERAGE = termVocabulary.findTermByUuid(StatisticalMeasure.uuidAverage);
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StatisticalMeasure.MAX = termVocabulary.findTermByUuid(StatisticalMeasure.uuidMax);
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StatisticalMeasure.MIN = termVocabulary.findTermByUuid(StatisticalMeasure.uuidMin);
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StatisticalMeasure.SAMPLE_SIZE = termVocabulary.findTermByUuid(StatisticalMeasure.uuidSampleSize);
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StatisticalMeasure.STANDARD_DEVIATION = termVocabulary.findTermByUuid(StatisticalMeasure.uuidStandardDeviation);
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StatisticalMeasure.TYPICAL_LOWER_BOUNDARY = termVocabulary.findTermByUuid(StatisticalMeasure.uuidTypicalLowerBoundary);
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StatisticalMeasure.TYPICAL_UPPER_BOUNDARY = termVocabulary.findTermByUuid(StatisticalMeasure.uuidTypicalUpperBoundary);
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StatisticalMeasure.VARIANCE = termVocabulary.findTermByUuid(StatisticalMeasure.uuidVariance);
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}
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}
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