DatasetUtilities.java

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org.jfree.data.general
JFreeChart

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LOOPSNumber of loops
SIZESize of the file in bytes
BLOCKSNumber of blocks
COMMENTSComment lines
DOC_COMMENTNumber of javadoc comment lines
CYCLOMATICCyclomatic complexity
COMPARISONSNumber of comparison operators
LINESNumber of lines in the source file
LOGICAL_LINESNumber of statements
LOCLines of code
OPERATORSNumber of operators
PROGRAM_LENGTHHalstead program length
EXEC_COMMENTSComments in executable code
OPERANDSNumber of operands
ELOCEffective lines of code
DECL_COMMENTSComments in declarations
INTERFACE_COMPLEXITYInterface complexity
PARAMSNumber of formal parameter declarations
RETURNSNumber of return points from functions
UNIQUE_OPERANDSNumber of unique operands
JAVA0177JAVA0177 Variable declaration missing initializer
PROGRAM_VOCABHalstead program vocabulary
LINE_COMMENTNumber of line comments
FUNCTIONSNumber of function declarations
JAVA0084JAVA0084 Should use compound assignment operator
BLOCK_COMMENTNumber of block comment lines
JAVA0078JAVA0078 Floating point values compared with ==
JAVA0049JAVA0049 Nested block at depth N (maximum: M)
JAVA0034JAVA0034 Missing braces in if statement
EXITSProcedure exits
WHITESPACENumber of whitespace lines
JAVA0117JAVA0117 Missing javadoc: method 'method'
NEST_DEPTHMaximum nesting depth
PROGRAM_VOLUMEHalstead program volume
JAVA0136JAVA0136 N methods defined in class (maximum: M)
JAVA0126JAVA0126 Method declares unchecked exception in throws
JAVA0110JAVA0110 Incorrect javadoc: no @return tag
UNIQUE_OPERATORSNumber of unique operators
JAVA0108JAVA0108 Incorrect javadoc: no @param tag for 'parameter'
JAVA0254JAVA0254 Use enhanced for loop construct instead of Iterator
JAVA0270JAVA0270 Use Java 5.0 enhanced for loop construct to iterate over all elements in an array
JAVA0145JAVA0145 Tab character used in source file
/* =========================================================== * 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); * * 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); * 21-Jun-2007 : Removed JCommon dependencies (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); * */ package org.jfree.data.general; import java.util.ArrayList; import java.util.Iterator; import java.util.List; import org.jfree.chart.util.ArrayUtilities; 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; /** * 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); minimum = Math.min(minimum, lvalue); 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; 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). * * @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) { minimum = Math.min(minimum, lvalue.doubleValue()); } if (uvalue != null) { 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(); 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>). * * @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++) { for (int item = 0; item < itemCount; item++) { Number value; if (dataset instanceof IntervalCategoryDataset) { IntervalCategoryDataset icd = (IntervalCategoryDataset) dataset; value = icd.getEndValue(series, item); } else { value = dataset.getValue(series, item); } if (value != null) { maximum = Math.max(maximum, value.doubleValue()); } } } if (maximum == Double.NEGATIVE_INFINITY) { return null; } else { return new Double(maximum); } } } /** * 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(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.getRangeUpperBound(true)); } // hasn't implemented RangeInfo, so we'll have to 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.getEndYValue(series, item); } else if (dataset instanceof OHLCDataset) { OHLCDataset highLowData = (OHLCDataset) dataset; value = highLowData.getHighValue(series, item); } else { value = dataset.getYValue(series, item); } if (!Double.isNaN(value)) { maximum = Math.max(maximum, value); } } } if (maximum == Double.NEGATIVE_INFINITY) { return null; } else { return new Double(maximum); } } } /** * Returns the minimum and maximum values for the dataset's range * (y-values), assuming that the series in one category are stacked. * * @param dataset the dataset (<code>null</code> not permitted). * * @return The range (<code>null</code> if the dataset contains no values). */ public static Range findStackedRangeBounds(CategoryDataset dataset) { return findStackedRangeBounds(dataset, 0.0); } /** * Returns the minimum and maximum values for the dataset's range * (y-values), assuming that the series in one category are stacked. * * @param dataset the dataset (<code>null</code> not permitted). * @param base the base value for the bars. * * @return The range (<code>null</code> if the dataset contains no values). */ public static Range findStackedRangeBounds(CategoryDataset dataset, double base) { if (dataset == null) { throw new IllegalArgumentException("Null 'dataset' argument."); } Range result = null; double minimum = Double.POSITIVE_INFINITY; double maximum = Double.NEGATIVE_INFINITY; int categoryCount = dataset.getColumnCount(); for (int item = 0; item < categoryCount; item++) { double positive = base; double negative = base; int seriesCount = dataset.getRowCount(); for (int series = 0; series < seriesCount; series++) { Number number = dataset.getValue(series, item); if (number != null) { double value = number.doubleValue(); if (value > 0.0) { positive = positive + value; } if (value < 0.0) { negative = negative + value; // '+', remember value is negative } } } minimum = Math.min(minimum, negative); maximum = Math.max(maximum, positive); } if (minimum <= maximum) { result = new Range(minimum, maximum); } return result; } /** * Returns the minimum and maximum values for the dataset's range * (y-values), assuming that the series in one category are stacked. * * @param dataset the dataset. * @param map a structure that maps series to groups. * * @return The value range (<code>null</code> if the dataset contains no * values). */ public static Range findStackedRangeBounds(CategoryDataset dataset, KeyToGroupMap map) { Range result = null; if (dataset != null) { // create an array holding the group indices... int[] groupIndex = new int[dataset.getRowCount()]; for (int i = 0; i < dataset.getRowCount(); i++) { groupIndex[i] = map.getGroupIndex( map.getGroup(dataset.getRowKey(i)) ); } // minimum and maximum for each group... int groupCount = map.getGroupCount(); double[] minimum = new double[groupCount]; double[] maximum = new double[groupCount]; int categoryCount = dataset.getColumnCount(); for (int item = 0; item < categoryCount; item++) { double[] positive = new double[groupCount]; double[] negative = new double[groupCount]; int seriesCount = dataset.getRowCount(); for (int series = 0; series < seriesCount; series++) { Number number = dataset.getValue(series, item); if (number != null) { double value = number.doubleValue(); if (value > 0.0) { positive[groupIndex[series]] = positive[groupIndex[series]] + value; } if (value < 0.0) { negative[groupIndex[series]] = negative[groupIndex[series]] + value; // '+', remember value is negative } } } for (int g = 0; g < groupCount; g++) { minimum[g] = Math.min(minimum[g], negative[g]); maximum[g] = Math.max(maximum[g], positive[g]); } } for (int j = 0; j < groupCount; j++) { result = Range.combine( result, new Range(minimum[j], maximum[j]) ); } } return result; } /** * Returns the minimum value in the dataset range, assuming that values in * each category are "stacked". * * @param dataset the dataset. * * @return The minimum value. */ public static Number findMinimumStackedRangeValue(CategoryDataset dataset) { Number result = null; if (dataset != null) { double minimum = 0.0; int categoryCount = dataset.getRowCount(); for (int item = 0; item < categoryCount; item++) { double total = 0.0; int seriesCount = dataset.getColumnCount(); for (int series = 0; series < seriesCount; series++) { Number number = dataset.getValue(series, item); if (number != null) { double value = number.doubleValue(); if (value < 0.0) { total = total + value; // '+', remember value is negative } } } minimum = Math.min(minimum, total); } result = new Double(minimum); } return result; } /** * Returns the maximum value in the dataset range, assuming that values in * each category are "stacked". * * @param dataset the dataset (<code>null</code> permitted). * * @return The maximum value (possibly <code>null</code>). */ public static Number findMaximumStackedRangeValue(CategoryDataset dataset) { Number result = null; if (dataset != null) { double maximum = 0.0; int categoryCount = dataset.getColumnCount(); for (int item = 0; item < categoryCount; item++) { double total = 0.0; int seriesCount = dataset.getRowCount(); for (int series = 0; series < seriesCount; series++) { Number number = dataset.getValue(series, item); if (number != null) { double value = number.doubleValue(); if (value > 0.0) { total = total + value; } } } maximum = Math.max(maximum, total); } result = new Double(maximum); } return result; } /** * Returns the minimum and maximum values for the dataset's range, * assuming that the series are stacked. * * @param dataset the dataset (<code>null</code> not permitted). * * @return The range ([0.0, 0.0] if the dataset contains no values). */ public static Range findStackedRangeBounds(TableXYDataset dataset) { return findStackedRangeBounds(dataset, 0.0); } /** * Returns the minimum and maximum values for the dataset's range, * assuming that the series are stacked, using the specified base value. * * @param dataset the dataset (<code>null</code> not permitted). * @param base the base value. * * @return The range (<code>null</code> if the dataset contains no values). */ public static Range findStackedRangeBounds(TableXYDataset dataset, double base) { if (dataset == null) { throw new IllegalArgumentException("Null 'dataset' argument."); } double minimum = base; double maximum = base; for (int itemNo = 0; itemNo < dataset.getItemCount(); itemNo++) { double positive = base; double negative = base; int seriesCount = dataset.getSeriesCount(); for (int seriesNo = 0; seriesNo < seriesCount; seriesNo++) { double y = dataset.getYValue(seriesNo, itemNo); if (!Double.isNaN(y)) { if (y > 0.0) { positive += y; } else { negative += y; } } } if (positive > maximum) { maximum = positive; } if (negative < minimum) { minimum = negative; } } if (minimum <= maximum) { return new Range(minimum, maximum); } else { return null; } } /** * Calculates the total for the y-values in all series for a given item * index. * * @param dataset the dataset. * @param item the item index. * * @return The total. * * @since 1.0.5 */ public static double calculateStackTotal(TableXYDataset dataset, int item) { double total = 0.0; int seriesCount = dataset.getSeriesCount(); for (int s = 0; s < seriesCount; s++) { double value = dataset.getYValue(s, item); if (!Double.isNaN(value)) { total = total + value; } } return total; } /** * Calculates the range of values for a dataset where each item is the * running total of the items for the current series. * * @param dataset the dataset (<code>null</code> not permitted). * * @return The range. * * @see #findRangeBounds(CategoryDataset) */ public static Range findCumulativeRangeBounds(CategoryDataset dataset) { if (dataset == null) { throw new IllegalArgumentException("Null 'dataset' argument."); } boolean allItemsNull = true; // we'll set this to false if there is at // least one non-null data item... double minimum = 0.0; double maximum = 0.0; for (int row = 0; row < dataset.getRowCount(); row++) { double runningTotal = 0.0; for (int column = 0; column <= dataset.getColumnCount() - 1; column++) { Number n = dataset.getValue(row, column); if (n != null) { allItemsNull = false; double value = n.doubleValue(); runningTotal = runningTotal + value; minimum = Math.min(minimum, runningTotal); maximum = Math.max(maximum, runningTotal); } } } if (!allItemsNull) { return new Range(minimum, maximum); } else { return null; } } }

The table below shows all metrics for DatasetUtilities.java.

MetricValueDescription
BLOCKS243.00Number of blocks
BLOCK_COMMENT113.00Number of block comment lines
COMMENTS582.00Comment lines
COMMENT_DENSITY 0.88Comment density
COMPARISONS150.00Number of comparison operators
CYCLOMATIC218.00Cyclomatic complexity
DECL_COMMENTS45.00Comments in declarations
DOC_COMMENT435.00Number of javadoc comment lines
ELOC664.00Effective lines of code
EXEC_COMMENTS33.00Comments in executable code
EXITS64.00Procedure exits
FUNCTIONS43.00Number of function declarations
HALSTEAD_DIFFICULTY98.13Halstead difficulty
HALSTEAD_EFFORT 0.00Halstead effort
INTERFACE_COMPLEXITY163.00Interface complexity
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JAVA0166 0.00JAVA0166 Generic exception caught
JAVA0167 0.00JAVA0167 ThreadDeath not rethrown
JAVA0169 0.00JAVA0169 Unnecessary catch block: exception 'exception'
JAVA0170 0.00JAVA0170 Caught exception not derived from java.lang.Exception
JAVA0171 0.00JAVA0171 Unused local variable
JAVA0173 0.00JAVA0173 Unused method parameter
JAVA0174 0.00JAVA0174 Assigned local variable never used
JAVA0175 0.00JAVA0175 Successive assignment to variable
JAVA0176 0.00JAVA0176 Local variable name does not have required form
JAVA017710.00JAVA0177 Variable declaration missing initializer
JAVA0179 0.00JAVA0179 Local variable hides visible field
JAVA0233 0.00JAVA0233 Definition of serialVersionUID other than 'private static final long serialVersionUID'
JAVA0234 0.00JAVA0234 Class is Serializable but does not define serialVersionUID
JAVA0235 0.00JAVA0235 Class defines serialVersionUID but does not implement Serializable
JAVA0236 0.00JAVA0236 Attempt to clone an object which does not implement Cloneable
JAVA0237 0.00JAVA0237 Class implements Cloneable but does not have public clone method
JAVA0238 0.00JAVA0238 Clone method does not call super.clone()
JAVA0239 0.00JAVA0239 Class declares 'readObject' or 'writeObject' but does not implement Serializable
JAVA0240 0.00JAVA0240 Serializable class which declares readObject or writeObject but not both
JAVA0241 0.00JAVA0241 'readObject' or 'writeObject' should be declared private in Serializable class
JAVA0242 0.00JAVA0242 Transient field in non-Serializable class
JAVA0243 0.00JAVA0243 'readResolve' or 'writeReplace' should be declared private or protected
JAVA0244 0.00JAVA0244 Field or method name in subclass differs only by case from inherited field or method
JAVA0245 0.00JAVA0245 JUnit TestCase with non-trivial constructor
JAVA0246 0.00JAVA0246 JUnit assertXXX statement missing message parameter
JAVA0247 0.00JAVA0247 JUnit 'setUp()' and 'tearDown()' should call super method
JAVA0248 0.00JAVA0248 JUnit method 'setUp' or 'tearDown' with incorrect signature
JAVA0249 0.00JAVA0249 JUnit TestCase 'suite()' should be declared static
JAVA0250 0.00JAVA0250 JUnit TestCase declares testXXX method with incorrect signature
JAVA0251 0.00JAVA0251 Use '%n' for line breaks in printf/format for platform independence
JAVA0252 0.00JAVA0252 'enum' is a Java 1.5 reserved word
JAVA0253 0.00JAVA0253 Not all enum constants consumed in switch statement
JAVA0254 1.00JAVA0254 Use enhanced for loop construct instead of Iterator
JAVA0255 0.00JAVA0255 Result of method invocation not used
JAVA0256 0.00JAVA0256 Assignment of external collection/array to field
JAVA0257 0.00JAVA0257 Use of 'Constant Interface' anti-pattern
JAVA0258 0.00JAVA0258 Implement Iterable for foreach compatibility
JAVA0259 0.00JAVA0259 Return of collection/array field
JAVA0260 0.00JAVA0260 Use 'enum' instead of Enumerated Type pattern
JAVA0261 0.00JAVA0261 Use specialized Enum collection types
JAVA0262 0.00JAVA0262 Use of char in integer context
JAVA0263 0.00JAVA0263 Long literal ends with 'l' instead of 'L'
JAVA0264 0.00JAVA0264 Integer math in long context - check for overflow
JAVA0265 0.00JAVA0265 Use of Throwable.printStackTrace()
JAVA0266 0.00JAVA0266 Use of System.out
JAVA0267 0.00JAVA0267 Use of System.err
JAVA0269 0.00JAVA0269 Contents of StringBuffer never used
JAVA0270 1.00JAVA0270 Use Java 5.0 enhanced for loop construct to iterate over all elements in an array
JAVA0271 0.00JAVA0271 Minimize use of on-demand (.*) static imports
JAVA0272 0.00JAVA0272 Thread.run() called
JAVA0273 0.00JAVA0273 Non-final derivative of Thread calls start() in constructor
JAVA0274 0.00JAVA0274 Serializable class has a synchronized readObject()
JAVA0275 0.00JAVA0275 Serializable class has a synchronized writeObject() and no other synchronized methods
JAVA0276 0.00JAVA0276 Unnecessary use of String constructor
JAVA0277 0.00JAVA0277 Iterator.next() implementation does not throw NoSuchElementException
JAVA0278 0.00JAVA0278 Unnecessary use of Boolean constructor
JAVA0279 0.00JAVA0279 Serialization method readObject or readObjectNoData calls an overridable method
JAVA0280 0.00JAVA0280 IllegalMonitorStateException caught
JAVA0281 0.00JAVA0281 Iterator.next() not called in loop
JAVA0282 0.00JAVA0282 Call to Iterator.next() in loop which does not test Iterator.hasNext()
JAVA0283 0.00JAVA0283 Control variable not updated in loop body
JAVA0284 0.00JAVA0284 Explicit garbage collection
JAVA0285 0.00JAVA0285 Dereference of potentially null variable
JAVA0286 0.00JAVA0286 Dereference of null variable
JAVA0287 0.00JAVA0287 Unnecessary null check
JAVA0288 0.00JAVA0288 Inconsistent null check
LINES1616.00Number of lines in the source file
LINE_COMMENT34.00Number of line comments
LOC909.00Lines of code
LOGICAL_LINES484.00Number of statements
LOOPS60.00Number of loops
NEST_DEPTH 6.00Maximum nesting depth
OPERANDS1954.00Number of operands
OPERATORS3777.00Number of operators
PARAMS72.00Number of formal parameter declarations
PROGRAM_LENGTH5731.00Halstead program length
PROGRAM_VOCAB504.00Halstead program vocabulary
PROGRAM_VOLUME 0.00Halstead program volume
RETURNS91.00Number of return points from functions
SIZE63097.00Size of the file in bytes
UNIQUE_OPERANDS458.00Number of unique operands
UNIQUE_OPERATORS46.00Number of unique operators
WHITESPACE125.00Number of whitespace lines