Example usage for java.util Collections max

Introduction

In this page you can find the example usage for java.util Collections max.

Prototype

public static <T extends Object & Comparable<? super T>> T max(Collection<? extends T> coll) 

Source Link

Document

Returns the maximum element of the given collection, according to the natural ordering of its elements.

Usage

From source file:org.dspace.content.ItemComparator.java

/**
 * Choose the canonical value from an item for comparison. If there are no
 * values, null is returned. If there is exactly one value, then it is
 * returned. Otherwise, either the maximum or minimum lexicographical value
 * is returned; the parameter to the constructor says which.
 * // w w w  .  java2  s. c o m
 * @param item
 *            The item to check
 * @return The chosen value, or null
 */
private String getValue(Item item) {
    // The overall array and each element are guaranteed non-null
    DCValue[] dcvalues = item.getDC(element, qualifier, language);

    if (dcvalues.length == 0) {
        return null;
    }

    if (dcvalues.length == 1) {
        return normalizeTitle(dcvalues[0]);
    }

    // We want to sort using Strings, but also keep track of
    // which DCValue the value came from.
    Map<String, Integer> values = new HashMap<String, Integer>();

    for (int i = 0; i < dcvalues.length; i++) {
        String value = dcvalues[i].value;

        if (value != null) {
            values.put(value, Integer.valueOf(i));
        }
    }

    if (values.size() == 0) {
        return null;
    }

    Set<String> valueSet = values.keySet();
    String chosen = max ? Collections.max(valueSet) : Collections.min(valueSet);

    int index = (values.get(chosen)).intValue();

    return normalizeTitle(dcvalues[index]);
}

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From source file:org.wallerlab.yoink.cube.service.CubeBuilderImpl.java

private void getMinMax(List<Double> xCoordOfAllMolecules, List<Double> yCoordOfAllMolecules,
        List<Double> zCoordOfAllMolecules, Cube cube, double[] xyzMinimumOfCube, double[] xyzMaximumOfCube) {
    double xMinimumOfCube = Collections.min(xCoordOfAllMolecules);
    double yMinimumOfCube = Collections.min(yCoordOfAllMolecules);
    double zMinimumOfCube = Collections.min(zCoordOfAllMolecules);
    double xMaximumOfCube = Collections.max(xCoordOfAllMolecules);
    double yMaximumOfCube = Collections.max(yCoordOfAllMolecules);
    double zMaximumOfCube = Collections.max(zCoordOfAllMolecules);
    // build a larger cube to write cube files
    if (cube.getDensityTypes().size() != 0) {
        xMinimumOfCube -= 2;/*w  w  w .  j av a 2 s . c  o m*/
        yMinimumOfCube -= 2;
        zMinimumOfCube -= 2;
        xMaximumOfCube += 2;
        yMaximumOfCube += 2;
        zMaximumOfCube += 2;
    }
    xyzMinimumOfCube[0] = xMinimumOfCube;
    xyzMinimumOfCube[1] = yMinimumOfCube;
    xyzMinimumOfCube[2] = zMinimumOfCube;
    xyzMaximumOfCube[0] = xMaximumOfCube;
    xyzMaximumOfCube[1] = yMaximumOfCube;
    xyzMaximumOfCube[2] = zMaximumOfCube;
}

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From source file:org.nuclos.common2.LangUtils.java

/**
 * @param ac one or more <code>Comparable</code>s, none of which may be <code>null</code>.
 * @return the maximum of the given <code>Comparable</code>s.
 * @precondition ac != null//  w ww. j a  va2s.  co m
 */
public static <C extends Comparable<? super C>> C max(C... ac) {
    return Collections.max(Arrays.asList(ac));
}

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From source file:org.libreplan.business.planner.entities.TaskElement.java

/**
 * @returns the biggest one among the deadline (if exists) or the end date.
 *//*w  ww. j av  a  2s  . co  m*/
@SuppressWarnings("unchecked")
public LocalDate getBiggestAmongEndOrDeadline() {
    return this.getDeadline() != null ? Collections.max(asList(this.getDeadline(), this.getEndAsLocalDate()))
            : this.getEndAsLocalDate();
}

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From source file:dkpro.similarity.algorithms.lsr.LexSemResourceComparator.java

protected double getBestRelatedness(List<Double> relatednessValues) throws SimilarityException {
    if (relatednessValues.size() == 0) {
        return NOT_FOUND;
    }/*  w ww  . jav  a 2  s . c om*/

    List<Double> scores = new ArrayList<Double>();
    for (double d : relatednessValues) {
        if (d >= 0.0) {
            scores.add(d);
        }
    }

    if (scores.size() == 0) {
        scores.add(NOT_FOUND);
    }

    return isDistanceMeasure() ? Collections.min(scores) : Collections.max(scores);
}

---

From source file:be.ugent.maf.cellmissy.gui.controller.analysis.doseresponse.generic.GenericDRNormalizedController.java

/**
 * Initialize view.//from w  w w .j  av  a  2 s .  c om
 */
@Override
protected void initDRNormalizedPanel() {
    dRNormalizedPlotPanel = new DRNormalizedPlotPanel();
    //init chart panel
    normalizedChartPanel = new ChartPanel(null);
    normalizedChartPanel.setOpaque(false);

    /**
     * Action listeners for buttons
     */
    /**
     * The combo box determines how the normalization is done. Bottom combo
     * box defines what the value for 0% response is.
     */
    dRNormalizedPlotPanel.getBottomComboBox().addActionListener(new ActionListener() {

        @Override
        public void actionPerformed(ActionEvent e) {
            String value = (String) dRNormalizedPlotPanel.getBottomComboBox().getSelectedItem();
            switch (value) {
            case "Smallest Mean Value":
                dRNormalizedPlotPanel.getBottomTextField().setEditable(false);
                dRNormalizedPlotPanel.getBottomTextField()
                        .setText(AnalysisUtils
                                .roundTwoDecimals(Collections.min(computeMeans(getAllResponses(
                                        doseResponseController.getdRAnalysisGroup().getDoseResponseData()))))
                                .toString());
                break;
            case "Smallest Median Value":
                dRNormalizedPlotPanel.getBottomTextField().setEditable(false);
                dRNormalizedPlotPanel.getBottomTextField()
                        .setText(AnalysisUtils
                                .roundTwoDecimals(Collections.min(computeMedians(getAllResponses(
                                        doseResponseController.getdRAnalysisGroup().getDoseResponseData()))))
                                .toString());
                break;
            case "Other Value":
                dRNormalizedPlotPanel.getBottomTextField().setText("");
                dRNormalizedPlotPanel.getBottomTextField().setEditable(true);
                break;
            }
        }
    });

    /**
     * The combo box determines how the normalization is done. Top combo box
     * defines what the value for 100% response is.
     */
    dRNormalizedPlotPanel.getTopComboBox().addActionListener(new ActionListener() {

        @Override
        public void actionPerformed(ActionEvent e) {
            String choice = (String) dRNormalizedPlotPanel.getTopComboBox().getSelectedItem();
            switch (choice) {
            case "Largest Mean Value":
                dRNormalizedPlotPanel.getTopTextField().setEditable(false);
                dRNormalizedPlotPanel.getTopTextField()
                        .setText(AnalysisUtils
                                .roundTwoDecimals(Collections.max(computeMeans(getAllResponses(
                                        doseResponseController.getdRAnalysisGroup().getDoseResponseData()))))
                                .toString());
                break;
            case "Largest Median Value":
                dRNormalizedPlotPanel.getTopTextField().setEditable(false);
                dRNormalizedPlotPanel.getTopTextField()
                        .setText(AnalysisUtils
                                .roundTwoDecimals(Collections.max(computeMedians(getAllResponses(
                                        doseResponseController.getdRAnalysisGroup().getDoseResponseData()))))
                                .toString());
                break;
            case "Other Value":
                dRNormalizedPlotPanel.getTopTextField().setText("");
                dRNormalizedPlotPanel.getTopTextField().setEditable(true);
                break;
            }
        }
    });

    /**
     * If selected, the curve fit 'bottom' parameter will be constrained to
     * zero. This zero is defined by the text field value during
     * normalization.
     *
     */
    dRNormalizedPlotPanel.getBottomConstrainCheckBox().addItemListener(new ItemListener() {

        @Override
        public void itemStateChanged(ItemEvent e) {
            if (e.getStateChange() == ItemEvent.SELECTED) {
                bottomConstrainValue = 0.0;
            } else {
                bottomConstrainValue = null;
            }
        }
    });

    /**
     * If selected, the curve fit 'top' parameter will be constrained to
     * 100. This is defined by the text field value during normalization.
     *
     */
    dRNormalizedPlotPanel.getTopConstrainCheckBox().addItemListener(new ItemListener() {

        @Override
        public void itemStateChanged(ItemEvent e) {
            if (e.getStateChange() == ItemEvent.SELECTED) {
                topConstrainValue = 100.0;

            } else {
                topConstrainValue = null;
            }
        }
    });

    /**
     * Re-normalize and plot new dose-response graph, taking into account
     * any choices made by the user.
     */
    dRNormalizedPlotPanel.getPlotGraphButton().addActionListener(new ActionListener() {

        @Override
        public void actionPerformed(ActionEvent e) {
            dataToFit = prepareFittingData(doseResponseController.getdRAnalysisGroup().getDoseResponseData(),
                    doseResponseController.getLogTransform());
            setTableModel(doseResponseController.updateTableModel(createTableModel(dataToFit)));
            doseResponseController.updateModelInTable(tableModel);
            doseResponseController
                    .performFitting(
                            dataToFit, doseResponseController.getdRAnalysisGroup()
                                    .getDoseResponseAnalysisResults().getFittingResults(true),
                            bottomConstrainValue, topConstrainValue);
            doseResponseController.plotDoseResponse(normalizedChartPanel,
                    dRNormalizedPlotPanel.getDoseResponseChartParentPanel(), dataToFit,
                    doseResponseController.getdRAnalysisGroup(), true);
            //Calculate new statistics
            doseResponseController.calculateStatistics();
        }
    });
}

---

From source file:be.ugent.maf.cellmissy.gui.controller.analysis.doseresponse.area.AreaDRNormalizedController.java

/**
 * Initialize view//from  www  . j  a va2 s .c  o  m
 */
@Override
protected void initDRNormalizedPanel() {
    dRNormalizedPlotPanel = new DRNormalizedPlotPanel();
    //init chart panel
    normalizedChartPanel = new ChartPanel(null);
    normalizedChartPanel.setOpaque(false);

    /**
     * Action listeners for buttons
     */
    /**
     * The combo box determines how the normalization is done. Bottom combo
     * box defines what the value for 0% response is.
     */
    dRNormalizedPlotPanel.getBottomComboBox().addActionListener(new ActionListener() {

        @Override
        public void actionPerformed(ActionEvent e) {
            String value = (String) dRNormalizedPlotPanel.getBottomComboBox().getSelectedItem();
            switch (value) {
            case "Smallest Mean Value":
                dRNormalizedPlotPanel.getBottomTextField().setEditable(false);
                dRNormalizedPlotPanel.getBottomTextField().setText(AnalysisUtils
                        .roundTwoDecimals(Collections.min(computeMeans(
                                doseResponseController.getdRAnalysisGroup().getVelocitiesMap().values())))
                        .toString());
                break;
            case "Smallest Median Value":
                dRNormalizedPlotPanel.getBottomTextField().setEditable(false);
                dRNormalizedPlotPanel.getBottomTextField().setText(AnalysisUtils
                        .roundTwoDecimals(Collections.min(computeMedians(
                                doseResponseController.getdRAnalysisGroup().getVelocitiesMap().values())))
                        .toString());
                break;
            case "Other Value":
                dRNormalizedPlotPanel.getBottomTextField().setText("");
                dRNormalizedPlotPanel.getBottomTextField().setEditable(true);
                break;
            }
        }
    });

    /**
     * The combo box determines how the normalization is done. Top combo box
     * defines what the value for 100% response is.
     */
    dRNormalizedPlotPanel.getTopComboBox().addActionListener(new ActionListener() {

        @Override
        public void actionPerformed(ActionEvent e) {
            String choice = (String) dRNormalizedPlotPanel.getTopComboBox().getSelectedItem();
            switch (choice) {
            case "Largest Mean Value":
                dRNormalizedPlotPanel.getTopTextField().setEditable(false);
                dRNormalizedPlotPanel.getTopTextField().setText(AnalysisUtils
                        .roundTwoDecimals(Collections.max(computeMeans(
                                doseResponseController.getdRAnalysisGroup().getVelocitiesMap().values())))
                        .toString());
                break;
            case "Largest Median Value":
                dRNormalizedPlotPanel.getTopTextField().setEditable(false);
                dRNormalizedPlotPanel.getTopTextField().setText(AnalysisUtils
                        .roundTwoDecimals(Collections.max(computeMedians(
                                doseResponseController.getdRAnalysisGroup().getVelocitiesMap().values())))
                        .toString());
                break;
            case "Other Value":
                dRNormalizedPlotPanel.getTopTextField().setText("");
                dRNormalizedPlotPanel.getTopTextField().setEditable(true);
                break;
            }
        }
    });

    /**
     * If selected, the curve fit 'bottom' parameter will be constrained to
     * zero. This zero is defined by the text field value during
     * normalization.
     *
     */
    dRNormalizedPlotPanel.getBottomConstrainCheckBox().addItemListener(new ItemListener() {

        @Override
        public void itemStateChanged(ItemEvent e) {
            if (e.getStateChange() == ItemEvent.SELECTED) {
                bottomConstrainValue = 0.0;
            } else {
                bottomConstrainValue = null;
            }
        }
    });

    /**
     * If selected, the curve fit 'top' parameter will be constrained to
     * 100. This is defined by the text field value during normalization.
     *
     */
    dRNormalizedPlotPanel.getTopConstrainCheckBox().addItemListener(new ItemListener() {

        @Override
        public void itemStateChanged(ItemEvent e) {
            if (e.getStateChange() == ItemEvent.SELECTED) {
                topConstrainValue = 100.0;

            } else {
                topConstrainValue = null;
            }
        }
    });

    /**
     * Re-normalize and plot new dose-response graph, taking into account
     * any choices made by the user.
     */
    dRNormalizedPlotPanel.getPlotGraphButton().addActionListener(new ActionListener() {

        @Override
        public void actionPerformed(ActionEvent e) {
            dataToFit = prepareFittingData(doseResponseController.getdRAnalysisGroup());
            setTableModel(createTableModel(dataToFit));
            doseResponseController.updateModelInTable(tableModel);
            doseResponseController
                    .performFitting(
                            dataToFit, doseResponseController.getdRAnalysisGroup()
                                    .getDoseResponseAnalysisResults().getFittingResults(true),
                            bottomConstrainValue, topConstrainValue);
            doseResponseController.plotDoseResponse(normalizedChartPanel,
                    dRNormalizedPlotPanel.getDoseResponseChartParentPanel(), dataToFit,
                    doseResponseController.getdRAnalysisGroup(), true);
            //Calculate new statistics
            doseResponseController.calculateStatistics();
        }
    });
}

---

From source file:org.apache.accumulo.test.functional.RegexGroupBalanceIT.java

private boolean checkGroup(Table<String, String, MutableInt> groupLocationCounts, String group, int min,
        int max, int tsevers) {
    Collection<MutableInt> counts = groupLocationCounts.row(group).values();
    if (counts.size() == 0) {
        return min == 0 && max == 0 && tsevers == 0;
    }// w  w  w. ja v  a2 s  .c om
    return min == Collections.min(counts).intValue() && max == Collections.max(counts).intValue()
            && counts.size() == tsevers;
}

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From source file:br.ufpe.cin.emergo.instrument.bitrep.BitVectorConfigRep.java

public static BitVectorConfigRep convert(BitConfigRep rep, UnmodifiableBidiMap atoms) {
    int max = atoms.isEmpty() ? 1 : ((Integer) Collections.max(atoms.values())) << 1;
    BitVector bitVector = new BitVector(max);
    bitVector.put(rep.getId(), true);//from   www  . j a  v a  2s  .c  o m
    return new BitVectorConfigRep(atoms, bitVector);
}

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From source file:org.kuali.coeus.common.questionnaire.impl.core.QuestionnaireLookupableHelperServiceImpl.java

protected Questionnaire getQuestionnaireBySeqId(String questionnaireSeqId) {
    Questionnaire questionnaire = null;/*from   w w  w.  jav  a2  s.  c  o  m*/
    if (questionnaireSeqId != null) {
        Map<String, Object> fieldValues = new HashMap<String, Object>();
        fieldValues.put(QuestionnaireConstants.QUESTIONNAIRE_SEQUENCE_ID_PARAMETER_NAME, questionnaireSeqId);
        Collection<Questionnaire> questionnaires = getBusinessObjectService()
                .findMatchingOrderBy(Questionnaire.class, fieldValues, "SEQUENCE_NUMBER", false);
        if (questionnaires.size() > 0) {
            questionnaire = Collections.max(questionnaires);
        }
    }
    return questionnaire;
}

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