gt:                 for (int item = 0; item < itemCount; item++) {
context: /* ===========================================================
   * JFreeChart : a free chart library for the Java(tm) platform
   * ===========================================================
   *
   * (C) Copyright 2000-2008, by Object Refinery Limited and Contributors.
   *
   * Project Info:  http://www.jfree.org/jfreechart/index.html
   *
   * This library is free software; you can redistribute it and/or modify it
   * under the terms of the GNU Lesser General Public License as published by
   * the Free Software Foundation; either version 2.1 of the License, or
   * (at your option) any later version.
   *
   * This library is distributed in the hope that it will be useful, but
   * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
   * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
   * License for more details.
   *
   * You should have received a copy of the GNU Lesser General Public
   * License along with this library; if not, write to the Free Software
   * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301,
   * USA.
   *
   * [Java is a trademark or registered trademark of Sun Microsystems, Inc.
   * in the United States and other countries.]
   *
   * ---------------------
   * DatasetUtilities.java
   * ---------------------
   * (C) Copyright 2000-2008, by Object Refinery Limited and Contributors.
   *
   * Original Author:  David Gilbert (for Object Refinery Limited);
   * Contributor(s):   Andrzej Porebski (bug fix);
   *                   Jonathan Nash (bug fix);
   *                   Richard Atkinson;
   *                   Andreas Schroeder;
   *                   Rafal Skalny (patch 1925366);
   *                   Jerome David (patch 2131001);
   *
   * Changes (from 18-Sep-2001)
   * --------------------------
   * 18-Sep-2001 : Added standard header and fixed DOS encoding problem (DG);
   * 22-Oct-2001 : Renamed DataSource.java --> Dataset.java etc. (DG);
   * 15-Nov-2001 : Moved to package com.jrefinery.data.* in the JCommon class
   *               library (DG);
   *               Changed to handle null values from datasets (DG);
   *               Bug fix (thanks to Andrzej Porebski) - initial value now set
   *               to positive or negative infinity when iterating (DG);
   * 22-Nov-2001 : Datasets with containing no data now return null for min and
   *               max calculations (DG);
   * 13-Dec-2001 : Extended to handle HighLowDataset and IntervalXYDataset (DG);
   * 15-Feb-2002 : Added getMinimumStackedRangeValue() and
   *               getMaximumStackedRangeValue() (DG);
   * 28-Feb-2002 : Renamed Datasets.java --> DatasetUtilities.java (DG);
   * 18-Mar-2002 : Fixed bug in min/max domain calculation for datasets that
   *               implement the CategoryDataset interface AND the XYDataset
   *               interface at the same time.  Thanks to Jonathan Nash for the
   *               fix (DG);
   * 23-Apr-2002 : Added getDomainExtent() and getRangeExtent() methods (DG);
   * 13-Jun-2002 : Modified range measurements to handle
   *               IntervalCategoryDataset (DG);
   * 12-Jul-2002 : Method name change in DomainInfo interface (DG);
   * 30-Jul-2002 : Added pie dataset summation method (DG);
   * 01-Oct-2002 : Added a method for constructing an XYDataset from a Function2D
   *               instance (DG);
   * 24-Oct-2002 : Amendments required following changes to the CategoryDataset
   *               interface (DG);
   * 18-Nov-2002 : Changed CategoryDataset to TableDataset (DG);
   * 04-Mar-2003 : Added isEmpty(XYDataset) method (DG);
   * 05-Mar-2003 : Added a method for creating a CategoryDataset from a
   *               KeyedValues instance (DG);
   * 15-May-2003 : Renamed isEmpty --> isEmptyOrNull (DG);
   * 25-Jun-2003 : Added limitPieDataset methods (RA);
   * 26-Jun-2003 : Modified getDomainExtent() method to accept null datasets (DG);
   * 27-Jul-2003 : Added getStackedRangeExtent(TableXYDataset data) (RA);
   * 18-Aug-2003 : getStackedRangeExtent(TableXYDataset data) now handles null
   *               values (RA);
   * 02-Sep-2003 : Added method to check for null or empty PieDataset (DG);
   * 18-Sep-2003 : Fix for bug 803660 (getMaximumRangeValue for
   *               CategoryDataset) (DG);
   * 20-Oct-2003 : Added getCumulativeRangeExtent() method (DG);
   * 09-Jan-2003 : Added argument checking code to the createCategoryDataset()
   *               method (DG);
   * 23-Mar-2004 : Fixed bug in getMaximumStackedRangeValue() method (DG);
   * 31-Mar-2004 : Exposed the extent iteration algorithms to use one of them and
   *               applied noninstantiation pattern (AS);
   * 11-May-2004 : Renamed getPieDatasetTotal --> calculatePieDatasetTotal (DG);
   * 15-Jul-2004 : Switched getX() with getXValue() and getY() with getYValue();
   * 24-Aug-2004 : Added argument checks to createCategoryDataset() method (DG);
   * 04-Oct-2004 : Renamed ArrayUtils --> ArrayUtilities (DG);
   * 06-Oct-2004 : Renamed findDomainExtent() --> findDomainBounds(),
   *               findRangeExtent() --> findRangeBounds() (DG);
   * 07-Jan-2005 : Renamed findStackedRangeExtent() --> findStackedRangeBounds(),
   *               findCumulativeRangeExtent() --> findCumulativeRangeBounds(),
   *               iterateXYRangeExtent() --> iterateXYRangeBounds(),
   *               removed deprecated methods (DG);
   * 03-Feb-2005 : The findStackedRangeBounds() methods now return null for
   *               empty datasets (DG);
   * 03-Mar-2005 : Moved createNumberArray() and createNumberArray2D() methods
   *               from DatasetUtilities --> DataUtilities (DG);
   * 22-Sep-2005 : Added new findStackedRangeBounds() method that takes base
   *               argument (DG);
   * ------------- JFREECHART 1.0.x ---------------------------------------------
   * 15-Mar-2007 : Added calculateStackTotal() method (DG);
   * 27-Mar-2008 : Fixed bug in findCumulativeRangeBounds() method (DG);
   * 28-Mar-2008 : Fixed sample count in sampleFunction2D() method, renamed
   *               iterateXYRangeBounds() --> iterateRangeBounds(XYDataset), and
   *               fixed a bug in findRangeBounds(XYDataset, false) (DG);
   * 28-Mar-2008 : Applied a variation of patch 1925366 (from Rafal Skalny) for
   *               slightly more efficient iterateRangeBounds() methods (DG);
   * 08-Apr-2008 : Fixed typo in iterateRangeBounds() (DG);
   * 08-Oct-2008 : Applied patch 2131001 by Jerome David, with some modifications
   *               and additions and some new unit tests (DG);
   *
   */
  
  package org.jfree.data.general;
  
  import java.util.ArrayList;
  import java.util.Iterator;
  import java.util.List;
  
  import org.jfree.data.DomainInfo;
  import org.jfree.data.KeyToGroupMap;
  import org.jfree.data.KeyedValues;
  import org.jfree.data.Range;
  import org.jfree.data.RangeInfo;
  import org.jfree.data.category.CategoryDataset;
  import org.jfree.data.category.DefaultCategoryDataset;
  import org.jfree.data.category.IntervalCategoryDataset;
  import org.jfree.data.function.Function2D;
  import org.jfree.data.xy.IntervalXYDataset;
  import org.jfree.data.xy.OHLCDataset;
  import org.jfree.data.xy.TableXYDataset;
  import org.jfree.data.xy.XYDataset;
  import org.jfree.data.xy.XYSeries;
  import org.jfree.data.xy.XYSeriesCollection;
  import org.jfree.util.ArrayUtilities;
  
  /**
   * A collection of useful static methods relating to datasets.
   */
  public final class DatasetUtilities {
  
      /**
       * Private constructor for non-instanceability.
       */
      private DatasetUtilities() {
          // now try to instantiate this ;-)
      }
  
      /**
       * Calculates the total of all the values in a {@link PieDataset}.  If
       * the dataset contains negative or <code>null</code> values, they are
       * ignored.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The total.
       */
      public static double calculatePieDatasetTotal(PieDataset dataset) {
          if (dataset == null) {
              throw new IllegalArgumentException("Null 'dataset' argument.");
          }
          List keys = dataset.getKeys();
          double totalValue = 0;
          Iterator iterator = keys.iterator();
          while (iterator.hasNext()) {
              Comparable current = (Comparable) iterator.next();
              if (current != null) {
                  Number value = dataset.getValue(current);
                  double v = 0.0;
                  if (value != null) {
                      v = value.doubleValue();
                  }
                  if (v > 0) {
                      totalValue = totalValue + v;
                  }
              }
          }
          return totalValue;
      }
  
      /**
       * Creates a pie dataset from a table dataset by taking all the values
       * for a single row.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       * @param rowKey  the row key.
       *
       * @return A pie dataset.
       */
      public static PieDataset createPieDatasetForRow(CategoryDataset dataset,
                                                      Comparable rowKey) {
          int row = dataset.getRowIndex(rowKey);
          return createPieDatasetForRow(dataset, row);
      }
  
      /**
       * Creates a pie dataset from a table dataset by taking all the values
       * for a single row.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       * @param row  the row (zero-based index).
       *
       * @return A pie dataset.
       */
      public static PieDataset createPieDatasetForRow(CategoryDataset dataset,
                                                      int row) {
          DefaultPieDataset result = new DefaultPieDataset();
          int columnCount = dataset.getColumnCount();
          for (int current = 0; current < columnCount; current++) {
              Comparable columnKey = dataset.getColumnKey(current);
              result.setValue(columnKey, dataset.getValue(row, current));
          }
          return result;
      }
  
      /**
       * Creates a pie dataset from a table dataset by taking all the values
       * for a single column.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       * @param columnKey  the column key.
       *
       * @return A pie dataset.
       */
      public static PieDataset createPieDatasetForColumn(CategoryDataset dataset,
                                                         Comparable columnKey) {
          int column = dataset.getColumnIndex(columnKey);
          return createPieDatasetForColumn(dataset, column);
      }
  
      /**
       * Creates a pie dataset from a {@link CategoryDataset} by taking all the
       * values for a single column.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       * @param column  the column (zero-based index).
       *
       * @return A pie dataset.
       */
      public static PieDataset createPieDatasetForColumn(CategoryDataset dataset,
                                                         int column) {
          DefaultPieDataset result = new DefaultPieDataset();
          int rowCount = dataset.getRowCount();
          for (int i = 0; i < rowCount; i++) {
              Comparable rowKey = dataset.getRowKey(i);
              result.setValue(rowKey, dataset.getValue(i, column));
          }
          return result;
      }
  
      /**
       * Creates a new pie dataset based on the supplied dataset, but modified
       * by aggregating all the low value items (those whose value is lower
       * than the <code>percentThreshold</code>) into a single item with the
       * key "Other".
       *
       * @param source  the source dataset (<code>null</code> not permitted).
       * @param key  a new key for the aggregated items (<code>null</code> not
       *             permitted).
       * @param minimumPercent  the percent threshold.
       *
       * @return The pie dataset with (possibly) aggregated items.
       */
      public static PieDataset createConsolidatedPieDataset(PieDataset source,
                                                            Comparable key,
                                                            double minimumPercent)
      {
          return DatasetUtilities.createConsolidatedPieDataset(
              source, key, minimumPercent, 2
          );
      }
  
      /**
       * Creates a new pie dataset based on the supplied dataset, but modified
       * by aggregating all the low value items (those whose value is lower
       * than the <code>percentThreshold</code>) into a single item.  The
       * aggregated items are assigned the specified key.  Aggregation only
       * occurs if there are at least <code>minItems</code> items to aggregate.
       *
       * @param source  the source dataset (<code>null</code> not permitted).
       * @param key  the key to represent the aggregated items.
       * @param minimumPercent  the percent threshold (ten percent is 0.10).
       * @param minItems  only aggregate low values if there are at least this
       *                  many.
       *
       * @return The pie dataset with (possibly) aggregated items.
       */
      public static PieDataset createConsolidatedPieDataset(PieDataset source,
                                                            Comparable key,
                                                            double minimumPercent,
                                                            int minItems) {
  
          DefaultPieDataset result = new DefaultPieDataset();
          double total = DatasetUtilities.calculatePieDatasetTotal(source);
  
          //  Iterate and find all keys below threshold percentThreshold
          List keys = source.getKeys();
          ArrayList otherKeys = new ArrayList();
          Iterator iterator = keys.iterator();
          while (iterator.hasNext()) {
              Comparable currentKey = (Comparable) iterator.next();
              Number dataValue = source.getValue(currentKey);
              if (dataValue != null) {
                  double value = dataValue.doubleValue();
                  if (value / total < minimumPercent) {
                      otherKeys.add(currentKey);
                  }
              }
          }
  
          //  Create new dataset with keys above threshold percentThreshold
          iterator = keys.iterator();
          double otherValue = 0;
          while (iterator.hasNext()) {
              Comparable currentKey = (Comparable) iterator.next();
              Number dataValue = source.getValue(currentKey);
              if (dataValue != null) {
                  if (otherKeys.contains(currentKey)
                      && otherKeys.size() >= minItems) {
                      //  Do not add key to dataset
                      otherValue += dataValue.doubleValue();
                  }
                  else {
                      //  Add key to dataset
                      result.setValue(currentKey, dataValue);
                  }
              }
          }
          //  Add other category if applicable
          if (otherKeys.size() >= minItems) {
              result.setValue(key, otherValue);
          }
          return result;
      }
  
      /**
       * Creates a {@link CategoryDataset} that contains a copy of the data in an
       * array (instances of <code>Double</code> are created to represent the
       * data items).
       * <p>
       * Row and column keys are created by appending 0, 1, 2, ... to the
       * supplied prefixes.
       *
       * @param rowKeyPrefix  the row key prefix.
       * @param columnKeyPrefix  the column key prefix.
       * @param data  the data.
       *
       * @return The dataset.
       */
      public static CategoryDataset createCategoryDataset(String rowKeyPrefix,
                                                          String columnKeyPrefix,
                                                          double[][] data) {
  
          DefaultCategoryDataset result = new DefaultCategoryDataset();
          for (int r = 0; r < data.length; r++) {
              String rowKey = rowKeyPrefix + (r + 1);
              for (int c = 0; c < data[r].length; c++) {
                  String columnKey = columnKeyPrefix + (c + 1);
                  result.addValue(new Double(data[r][c]), rowKey, columnKey);
              }
          }
          return result;
  
      }
  
      /**
       * Creates a {@link CategoryDataset} that contains a copy of the data in
       * an array.
       * <p>
       * Row and column keys are created by appending 0, 1, 2, ... to the
       * supplied prefixes.
       *
       * @param rowKeyPrefix  the row key prefix.
       * @param columnKeyPrefix  the column key prefix.
       * @param data  the data.
       *
       * @return The dataset.
       */
      public static CategoryDataset createCategoryDataset(String rowKeyPrefix,
                                                          String columnKeyPrefix,
                                                          Number[][] data) {
  
          DefaultCategoryDataset result = new DefaultCategoryDataset();
          for (int r = 0; r < data.length; r++) {
              String rowKey = rowKeyPrefix + (r + 1);
              for (int c = 0; c < data[r].length; c++) {
                  String columnKey = columnKeyPrefix + (c + 1);
                  result.addValue(data[r][c], rowKey, columnKey);
              }
          }
          return result;
  
      }
  
      /**
       * Creates a {@link CategoryDataset} that contains a copy of the data in
       * an array (instances of <code>Double</code> are created to represent the
       * data items).
       * <p>
       * Row and column keys are taken from the supplied arrays.
       *
       * @param rowKeys  the row keys (<code>null</code> not permitted).
       * @param columnKeys  the column keys (<code>null</code> not permitted).
       * @param data  the data.
       *
       * @return The dataset.
       */
      public static CategoryDataset createCategoryDataset(Comparable[] rowKeys,
                                                          Comparable[] columnKeys,
                                                          double[][] data) {
  
          // check arguments...
          if (rowKeys == null) {
              throw new IllegalArgumentException("Null 'rowKeys' argument.");
          }
          if (columnKeys == null) {
              throw new IllegalArgumentException("Null 'columnKeys' argument.");
          }
          if (ArrayUtilities.hasDuplicateItems(rowKeys)) {
              throw new IllegalArgumentException("Duplicate items in 'rowKeys'.");
          }
          if (ArrayUtilities.hasDuplicateItems(columnKeys)) {
              throw new IllegalArgumentException(
                  "Duplicate items in 'columnKeys'."
              );
          }
          if (rowKeys.length != data.length) {
              throw new IllegalArgumentException(
                  "The number of row keys does not match the number of rows in "
                  + "the data array."
              );
          }
          int columnCount = 0;
          for (int r = 0; r < data.length; r++) {
              columnCount = Math.max(columnCount, data[r].length);
          }
          if (columnKeys.length != columnCount) {
              throw new IllegalArgumentException(
                  "The number of column keys does not match the number of "
                  + "columns in the data array."
              );
          }
  
          // now do the work...
          DefaultCategoryDataset result = new DefaultCategoryDataset();
          for (int r = 0; r < data.length; r++) {
              Comparable rowKey = rowKeys[r];
              for (int c = 0; c < data[r].length; c++) {
                  Comparable columnKey = columnKeys[c];
                  result.addValue(new Double(data[r][c]), rowKey, columnKey);
              }
          }
          return result;
  
      }
  
      /**
       * Creates a {@link CategoryDataset} by copying the data from the supplied
       * {@link KeyedValues} instance.
       *
       * @param rowKey  the row key (<code>null</code> not permitted).
       * @param rowData  the row data (<code>null</code> not permitted).
       *
       * @return A dataset.
       */
      public static CategoryDataset createCategoryDataset(Comparable rowKey,
                                                          KeyedValues rowData) {
  
          if (rowKey == null) {
              throw new IllegalArgumentException("Null 'rowKey' argument.");
          }
          if (rowData == null) {
              throw new IllegalArgumentException("Null 'rowData' argument.");
          }
          DefaultCategoryDataset result = new DefaultCategoryDataset();
          for (int i = 0; i < rowData.getItemCount(); i++) {
              result.addValue(rowData.getValue(i), rowKey, rowData.getKey(i));
          }
          return result;
  
      }
  
      /**
       * Creates an {@link XYDataset} by sampling the specified function over a
       * fixed range.
       *
       * @param f  the function (<code>null</code> not permitted).
       * @param start  the start value for the range.
       * @param end  the end value for the range.
       * @param samples  the number of sample points (must be > 1).
       * @param seriesKey  the key to give the resulting series
       *                   (<code>null</code> not permitted).
       *
       * @return A dataset.
       */
      public static XYDataset sampleFunction2D(Function2D f, double start,
              double end, int samples, Comparable seriesKey) {
  
          if (f == null) {
              throw new IllegalArgumentException("Null 'f' argument.");
          }
          if (seriesKey == null) {
              throw new IllegalArgumentException("Null 'seriesKey' argument.");
          }
          if (start >= end) {
              throw new IllegalArgumentException("Requires 'start' < 'end'.");
          }
          if (samples < 2) {
              throw new IllegalArgumentException("Requires 'samples' > 1");
          }
  
          XYSeries series = new XYSeries(seriesKey);
          double step = (end - start) / (samples - 1);
          for (int i = 0; i < samples; i++) {
              double x = start + (step * i);
              series.add(x, f.getValue(x));
          }
          XYSeriesCollection collection = new XYSeriesCollection(series);
          return collection;
      }
  
      /**
       * Returns <code>true</code> if the dataset is empty (or <code>null</code>),
       * and <code>false</code> otherwise.
       *
       * @param dataset  the dataset (<code>null</code> permitted).
       *
       * @return A boolean.
       */
      public static boolean isEmptyOrNull(PieDataset dataset) {
  
          if (dataset == null) {
              return true;
          }
  
          int itemCount = dataset.getItemCount();
          if (itemCount == 0) {
              return true;
          }
  
          for (int item = 0; item < itemCount; item++) {
              Number y = dataset.getValue(item);
              if (y != null) {
                  double yy = y.doubleValue();
                  if (yy > 0.0) {
                      return false;
                  }
              }
          }
  
          return true;
  
      }
  
      /**
       * Returns <code>true</code> if the dataset is empty (or <code>null</code>),
       * and <code>false</code> otherwise.
       *
       * @param dataset  the dataset (<code>null</code> permitted).
       *
       * @return A boolean.
       */
      public static boolean isEmptyOrNull(CategoryDataset dataset) {
  
          if (dataset == null) {
              return true;
          }
  
          int rowCount = dataset.getRowCount();
          int columnCount = dataset.getColumnCount();
          if (rowCount == 0 || columnCount == 0) {
              return true;
          }
  
          for (int r = 0; r < rowCount; r++) {
              for (int c = 0; c < columnCount; c++) {
                  if (dataset.getValue(r, c) != null) {
                      return false;
                  }
  
              }
          }
  
          return true;
  
      }
  
      /**
       * Returns <code>true</code> if the dataset is empty (or <code>null</code>),
       * and <code>false</code> otherwise.
       *
       * @param dataset  the dataset (<code>null</code> permitted).
       *
       * @return A boolean.
       */
      public static boolean isEmptyOrNull(XYDataset dataset) {
          if (dataset != null) {
              for (int s = 0; s < dataset.getSeriesCount(); s++) {
                  if (dataset.getItemCount(s) > 0) {
                      return false;
                  }
              }
          }
          return true;
      }
  
      /**
       * Returns the range of values in the domain (x-values) of a dataset.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The range of values (possibly <code>null</code>).
       */
      public static Range findDomainBounds(XYDataset dataset) {
          return findDomainBounds(dataset, true);
      }
  
      /**
       * Returns the range of values in the domain (x-values) of a dataset.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       * @param includeInterval  determines whether or not the x-interval is taken
       *                         into account (only applies if the dataset is an
       *                         {@link IntervalXYDataset}).
       *
       * @return The range of values (possibly <code>null</code>).
       */
      public static Range findDomainBounds(XYDataset dataset,
                                           boolean includeInterval) {
  
          if (dataset == null) {
              throw new IllegalArgumentException("Null 'dataset' argument.");
          }
  
          Range result = null;
          // if the dataset implements DomainInfo, life is easier
          if (dataset instanceof DomainInfo) {
              DomainInfo info = (DomainInfo) dataset;
              result = info.getDomainBounds(includeInterval);
          }
          else {
              result = iterateDomainBounds(dataset, includeInterval);
          }
          return result;
  
      }
  
      /**
       * Iterates over the items in an {@link XYDataset} to find
       * the range of x-values.  If the dataset is an instance of
       * {@link IntervalXYDataset}, the starting and ending x-values
       * will be used for the bounds calculation.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The range (possibly <code>null</code>).
       */
      public static Range iterateDomainBounds(XYDataset dataset) {
          return iterateDomainBounds(dataset, true);
      }
  
      /**
       * Iterates over the items in an {@link XYDataset} to find
       * the range of x-values.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       * @param includeInterval  a flag that determines, for an
       *          {@link IntervalXYDataset}, whether the x-interval or just the
       *          x-value is used to determine the overall range.
       *
       * @return The range (possibly <code>null</code>).
       */
      public static Range iterateDomainBounds(XYDataset dataset,
                                              boolean includeInterval) {
          if (dataset == null) {
              throw new IllegalArgumentException("Null 'dataset' argument.");
          }
          double minimum = Double.POSITIVE_INFINITY;
          double maximum = Double.NEGATIVE_INFINITY;
          int seriesCount = dataset.getSeriesCount();
          double lvalue;
          double uvalue;
          if (includeInterval && dataset instanceof IntervalXYDataset) {
              IntervalXYDataset intervalXYData = (IntervalXYDataset) dataset;
              for (int series = 0; series < seriesCount; series++) {
                  int itemCount = dataset.getItemCount(series);
                  for (int item = 0; item < itemCount; item++) {
                      lvalue = intervalXYData.getStartXValue(series, item);
                      uvalue = intervalXYData.getEndXValue(series, item);
                      if (!Double.isNaN(lvalue)) {
                          minimum = Math.min(minimum, lvalue);
                      }
                      if (!Double.isNaN(uvalue)) {
                          maximum = Math.max(maximum, uvalue);
                      }
                  }
              }
          }
          else {
              for (int series = 0; series < seriesCount; series++) {
                  int itemCount = dataset.getItemCount(series);
                  for (int item = 0; item < itemCount; item++) {
                      lvalue = dataset.getXValue(series, item);
                      uvalue = lvalue;
                      if (!Double.isNaN(lvalue)) {
                          minimum = Math.min(minimum, lvalue);
                          maximum = Math.max(maximum, uvalue);
                      }
                  }
              }
          }
          if (minimum > maximum) {
              return null;
          }
          else {
              return new Range(minimum, maximum);
          }
      }
  
      /**
       * Returns the range of values in the range for the dataset.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The range (possibly <code>null</code>).
       */
      public static Range findRangeBounds(CategoryDataset dataset) {
          return findRangeBounds(dataset, true);
      }
  
      /**
       * Returns the range of values in the range for the dataset.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       * @param includeInterval  a flag that determines whether or not the
       *                         y-interval is taken into account.
       *
       * @return The range (possibly <code>null</code>).
       */
      public static Range findRangeBounds(CategoryDataset dataset,
                                          boolean includeInterval) {
          if (dataset == null) {
              throw new IllegalArgumentException("Null 'dataset' argument.");
          }
          Range result = null;
          if (dataset instanceof RangeInfo) {
              RangeInfo info = (RangeInfo) dataset;
              result = info.getRangeBounds(includeInterval);
          }
          else {
              result = iterateRangeBounds(dataset, includeInterval);
          }
          return result;
      }
  
      /**
       * Returns the range of values in the range for the dataset.  This method
       * is the partner for the {@link #findDomainBounds(XYDataset)} method.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The range (possibly <code>null</code>).
       */
      public static Range findRangeBounds(XYDataset dataset) {
          return findRangeBounds(dataset, true);
      }
  
      /**
       * Returns the range of values in the range for the dataset.  This method
       * is the partner for the {@link #findDomainBounds(XYDataset, boolean)}
       * method.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       * @param includeInterval  a flag that determines whether or not the
       *                         y-interval is taken into account.
       *
       * @return The range (possibly <code>null</code>).
       */
      public static Range findRangeBounds(XYDataset dataset,
                                          boolean includeInterval) {
          if (dataset == null) {
              throw new IllegalArgumentException("Null 'dataset' argument.");
          }
          Range result = null;
          if (dataset instanceof RangeInfo) {
              RangeInfo info = (RangeInfo) dataset;
              result = info.getRangeBounds(includeInterval);
          }
          else {
              result = iterateRangeBounds(dataset, includeInterval);
          }
          return result;
      }
  
      /**
       * Iterates over the data item of the category dataset to find
       * the range bounds.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       * @param includeInterval  a flag that determines whether or not the
       *                         y-interval is taken into account.
       *
       * @return The range (possibly <code>null</code>).
       *
       * @deprecated As of 1.0.10, use
       *         {@link #iterateRangeBounds(CategoryDataset, boolean)}.
       */
      public static Range iterateCategoryRangeBounds(CategoryDataset dataset,
              boolean includeInterval) {
          return iterateRangeBounds(dataset, includeInterval);
      }
  
      /**
       * Iterates over the data item of the category dataset to find
       * the range bounds.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The range (possibly <code>null</code>).
       *
       * @since 1.0.10
       */
      public static Range iterateRangeBounds(CategoryDataset dataset) {
          return iterateRangeBounds(dataset, true);
      }
  
      /**
       * Iterates over the data item of the category dataset to find
       * the range bounds.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       * @param includeInterval  a flag that determines whether or not the
       *                         y-interval is taken into account.
       *
       * @return The range (possibly <code>null</code>).
       *
       * @since 1.0.10
       */
      public static Range iterateRangeBounds(CategoryDataset dataset,
              boolean includeInterval) {
          double minimum = Double.POSITIVE_INFINITY;
          double maximum = Double.NEGATIVE_INFINITY;
          int rowCount = dataset.getRowCount();
          int columnCount = dataset.getColumnCount();
          if (includeInterval && dataset instanceof IntervalCategoryDataset) {
              // handle the special case where the dataset has y-intervals that
              // we want to measure
              IntervalCategoryDataset icd = (IntervalCategoryDataset) dataset;
              Number lvalue, uvalue;
              for (int row = 0; row < rowCount; row++) {
                  for (int column = 0; column < columnCount; column++) {
                      lvalue = icd.getStartValue(row, column);
                      uvalue = icd.getEndValue(row, column);
                      if (lvalue != null && !Double.isNaN(lvalue.doubleValue())) {
                          minimum = Math.min(minimum, lvalue.doubleValue());
                      }
                      if (uvalue != null && !Double.isNaN(uvalue.doubleValue())) {
                          maximum = Math.max(maximum, uvalue.doubleValue());
                      }
                  }
              }
          }
          else {
              // handle the standard case (plain CategoryDataset)
              for (int row = 0; row < rowCount; row++) {
                  for (int column = 0; column < columnCount; column++) {
                      Number value = dataset.getValue(row, column);
                      if (value != null) {
                          double v = value.doubleValue();
                          if (!Double.isNaN(v)) {
                              minimum = Math.min(minimum, v);
                              maximum = Math.max(maximum, v);
                          }
                      }
                  }
              }
          }
          if (minimum == Double.POSITIVE_INFINITY) {
              return null;
          }
          else {
              return new Range(minimum, maximum);
          }
      }
  
      /**
       * Iterates over the data item of the xy dataset to find
       * the range bounds.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The range (possibly <code>null</code>).
       *
       * @deprecated As of 1.0.10, use {@link #iterateRangeBounds(XYDataset)}.
       */
      public static Range iterateXYRangeBounds(XYDataset dataset) {
          return iterateRangeBounds(dataset);
      }
  
      /**
       * Iterates over the data item of the xy dataset to find
       * the range bounds.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The range (possibly <code>null</code>).
       *
       * @since 1.0.10
       */
      public static Range iterateRangeBounds(XYDataset dataset) {
          return iterateRangeBounds(dataset, true);
      }
  
      /**
       * Iterates over the data items of the xy dataset to find
       * the range bounds.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       * @param includeInterval  a flag that determines, for an
       *          {@link IntervalXYDataset}, whether the y-interval or just the
       *          y-value is used to determine the overall range.
       *
       * @return The range (possibly <code>null</code>).
       *
       * @since 1.0.10
       */
      public static Range iterateRangeBounds(XYDataset dataset,
              boolean includeInterval) {
          double minimum = Double.POSITIVE_INFINITY;
          double maximum = Double.NEGATIVE_INFINITY;
          int seriesCount = dataset.getSeriesCount();
  
          // handle three cases by dataset type
          if (includeInterval && dataset instanceof IntervalXYDataset) {
              // handle special case of IntervalXYDataset
              IntervalXYDataset ixyd = (IntervalXYDataset) dataset;
              for (int series = 0; series < seriesCount; series++) {
                  int itemCount = dataset.getItemCount(series);
                  for (int item = 0; item < itemCount; item++) {
                      double lvalue = ixyd.getStartYValue(series, item);
                      double uvalue = ixyd.getEndYValue(series, item);
                      if (!Double.isNaN(lvalue)) {
                          minimum = Math.min(minimum, lvalue);
                      }
                      if (!Double.isNaN(uvalue)) {
                          maximum = Math.max(maximum, uvalue);
                      }
                  }
              }
          }
          else if (includeInterval && dataset instanceof OHLCDataset) {
              // handle special case of OHLCDataset
              OHLCDataset ohlc = (OHLCDataset) dataset;
              for (int series = 0; series < seriesCount; series++) {
                  int itemCount = dataset.getItemCount(series);
                  for (int item = 0; item < itemCount; item++) {
                      double lvalue = ohlc.getLowValue(series, item);
                      double uvalue = ohlc.getHighValue(series, item);
                      if (!Double.isNaN(lvalue)) {
                          minimum = Math.min(minimum, lvalue);
                      }
                      if (!Double.isNaN(uvalue)) {
                          maximum = Math.max(maximum, uvalue);
                      }
                  }
              }
          }
          else {
              // standard case - plain XYDataset
              for (int series = 0; series < seriesCount; series++) {
                  int itemCount = dataset.getItemCount(series);
                  for (int item = 0; item < itemCount; item++) {
                      double value = dataset.getYValue(series, item);
                      if (!Double.isNaN(value)) {
                          minimum = Math.min(minimum, value);
                          maximum = Math.max(maximum, value);
                      }
                  }
              }
          }
          if (minimum == Double.POSITIVE_INFINITY) {
              return null;
          }
          else {
              return new Range(minimum, maximum);
          }
      }
  
      /**
       * Finds the minimum domain (or X) value for the specified dataset.  This
       * is easy if the dataset implements the {@link DomainInfo} interface (a
       * good idea if there is an efficient way to determine the minimum value).
       * Otherwise, it involves iterating over the entire data-set.
       * <p>
       * Returns <code>null</code> if all the data values in the dataset are
       * <code>null</code>.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The minimum value (possibly <code>null</code>).
       */
      public static Number findMinimumDomainValue(XYDataset dataset) {
          if (dataset == null) {
              throw new IllegalArgumentException("Null 'dataset' argument.");
          }
          Number result = null;
          // if the dataset implements DomainInfo, life is easy
          if (dataset instanceof DomainInfo) {
              DomainInfo info = (DomainInfo) dataset;
              return new Double(info.getDomainLowerBound(true));
          }
          else {
              double minimum = Double.POSITIVE_INFINITY;
              int seriesCount = dataset.getSeriesCount();
              for (int series = 0; series < seriesCount; series++) {
                  int itemCount = dataset.getItemCount(series);
                  for (int item = 0; item < itemCount; item++) {
  
                      double value;
                      if (dataset instanceof IntervalXYDataset) {
                          IntervalXYDataset intervalXYData
                              = (IntervalXYDataset) dataset;
                          value = intervalXYData.getStartXValue(series, item);
                      }
                      else {
                          value = dataset.getXValue(series, item);
                      }
                      if (!Double.isNaN(value)) {
                          minimum = Math.min(minimum, value);
                      }
  
                  }
              }
              if (minimum == Double.POSITIVE_INFINITY) {
                  result = null;
              }
              else {
                  result = new Double(minimum);
              }
          }
  
          return result;
      }
  
      /**
       * Returns the maximum domain value for the specified dataset.  This is
       * easy if the dataset implements the {@link DomainInfo} interface (a good
       * idea if there is an efficient way to determine the maximum value).
       * Otherwise, it involves iterating over the entire data-set.  Returns
       * <code>null</code> if all the data values in the dataset are
       * <code>null</code>.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The maximum value (possibly <code>null</code>).
       */
      public static Number findMaximumDomainValue(XYDataset dataset) {
          if (dataset == null) {
              throw new IllegalArgumentException("Null 'dataset' argument.");
          }
          Number result = null;
          // if the dataset implements DomainInfo, life is easy
          if (dataset instanceof DomainInfo) {
              DomainInfo info = (DomainInfo) dataset;
              return new Double(info.getDomainUpperBound(true));
          }
  
          // hasn't implemented DomainInfo, so iterate...
          else {
              double maximum = Double.NEGATIVE_INFINITY;
              int seriesCount = dataset.getSeriesCount();
              for (int series = 0; series < seriesCount; series++) {
                  int itemCount = dataset.getItemCount(series);
                  for (int item = 0; item < itemCount; item++) {
  
                      double value;
                      if (dataset instanceof IntervalXYDataset) {
                          IntervalXYDataset intervalXYData
                              = (IntervalXYDataset) dataset;
                          value = intervalXYData.getEndXValue(series, item);
                      }
                      else {
                          value = dataset.getXValue(series, item);
                      }
                      if (!Double.isNaN(value)) {
                          maximum = Math.max(maximum, value);
                      }
                  }
              }
              if (maximum == Double.NEGATIVE_INFINITY) {
                  result = null;
              }
              else {
                  result = new Double(maximum);
              }
  
          }
  
          return result;
      }
  
      /**
       * Returns the minimum range value for the specified dataset.  This is
       * easy if the dataset implements the {@link RangeInfo} interface (a good
       * idea if there is an efficient way to determine the minimum value).
       * Otherwise, it involves iterating over the entire data-set.  Returns
       * <code>null</code> if all the data values in the dataset are
       * <code>null</code>.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The minimum value (possibly <code>null</code>).
       */
      public static Number findMinimumRangeValue(CategoryDataset dataset) {
  
          // check parameters...
          if (dataset == null) {
              throw new IllegalArgumentException("Null 'dataset' argument.");
          }
  
          // work out the minimum value...
          if (dataset instanceof RangeInfo) {
              RangeInfo info = (RangeInfo) dataset;
              return new Double(info.getRangeLowerBound(true));
          }
  
          // hasn't implemented RangeInfo, so we'll have to iterate...
          else {
              double minimum = Double.POSITIVE_INFINITY;
              int seriesCount = dataset.getRowCount();
              int itemCount = dataset.getColumnCount();
              for (int series = 0; series < seriesCount; series++) {
                  for (int item = 0; item < itemCount; item++) {
                      Number value;
                      if (dataset instanceof IntervalCategoryDataset) {
                          IntervalCategoryDataset icd
                              = (IntervalCategoryDataset) dataset;
                          value = icd.getStartValue(series, item);
                      }
                      else {
                          value = dataset.getValue(series, item);
                      }
                      if (value != null) {
                          minimum = Math.min(minimum, value.doubleValue());
                      }
                  }
              }
              if (minimum == Double.POSITIVE_INFINITY) {
                  return null;
              }
              else {
                  return new Double(minimum);
              }
  
          }
  
      }
  
      /**
       * Returns the minimum range value for the specified dataset.  This is
       * easy if the dataset implements the {@link RangeInfo} interface (a good
       * idea if there is an efficient way to determine the minimum value).
       * Otherwise, it involves iterating over the entire data-set.  Returns
       * <code>null</code> if all the data values in the dataset are
       * <code>null</code>.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The minimum value (possibly <code>null</code>).
       */
      public static Number findMinimumRangeValue(XYDataset dataset) {
  
          if (dataset == null) {
              throw new IllegalArgumentException("Null 'dataset' argument.");
          }
  
          // work out the minimum value...
          if (dataset instanceof RangeInfo) {
              RangeInfo info = (RangeInfo) dataset;
              return new Double(info.getRangeLowerBound(true));
          }
  
          // hasn't implemented RangeInfo, so we'll have to iterate...
          else {
              double minimum = Double.POSITIVE_INFINITY;
              int seriesCount = dataset.getSeriesCount();
              for (int series = 0; series < seriesCount; series++) {
                  int itemCount = dataset.getItemCount(series);
                  for (int item = 0; item < itemCount; item++) {
  
                      double value;
                      if (dataset instanceof IntervalXYDataset) {
                          IntervalXYDataset intervalXYData
                              = (IntervalXYDataset) dataset;
                          value = intervalXYData.getStartYValue(series, item);
                      }
                      else if (dataset instanceof OHLCDataset) {
                          OHLCDataset highLowData = (OHLCDataset) dataset;
                          value = highLowData.getLowValue(series, item);
                      }
                      else {
                          value = dataset.getYValue(series, item);
                      }
                      if (!Double.isNaN(value)) {
                          minimum = Math.min(minimum, value);
                      }
  
                  }
              }
              if (minimum == Double.POSITIVE_INFINITY) {
                  return null;
              }
              else {
                  return new Double(minimum);
              }
  
          }
  
      }
  
      /**
       * Returns the maximum range value for the specified dataset.  This is easy
       * if the dataset implements the {@link RangeInfo} interface (a good idea
       * if there is an efficient way to determine the maximum value).
       * Otherwise, it involves iterating over the entire data-set.  Returns
       * <code>null</code> if all the data values are <code>null</code>.
       *
       * @param dataset  the dataset (<code>null</code> not permitted).
       *
       * @return The maximum value (possibly <code>null</code>).
       */
      public static Number findMaximumRangeValue(CategoryDataset dataset) {
  
          if (dataset == null) {
              throw new IllegalArgumentException("Null 'dataset' argument.");
          }
  
          // work out the minimum value...
          if (dataset instanceof RangeInfo) {
              RangeInfo info = (RangeInfo) dataset;
              return new Double(info.getRangeUpperBound(true));
          }
  
          // hasn't implemented RangeInfo, so we'll have to iterate...
          else {
  
              double maximum = Double.NEGATIVE_INFINITY;
              int seriesCount = dataset.getRowCount();
              int itemCount = dataset.getColumnCount();
              for (int series = 0; series < seriesCount; series++) {
  