SummaryReport() { super(); model = new ObjectTableModel(COLUMNS, Calculator.class,// All rows have this class new Functor[] { new Functor("getLabel"), //$NON-NLS-1$ new Functor("getCount"), //$NON-NLS-1$ new Functor("getMeanAsNumber"), //$NON-NLS-1$ new Functor("getMin"), //$NON-NLS-1$ new Functor("getMax"), //$NON-NLS-1$ new Functor("getStandardDeviation"), //$NON-NLS-1$ new Functor("getErrorPercentage"), //$NON-NLS-1$ new Functor("getRate"), //$NON-NLS-1$ new Functor("getKBPerSecond"), //$NON-NLS-1$ new Functor("getAvgPageBytes"), //$NON-NLS-1$ }, new Functor[] { null, null, null, null, null, null, null, null , null, null }, new Class[] { String.class, Long.class, Long.class, Long.class, Long.class, String.class, String.class, String.class, String.class, String.class }); clearData(); init(); } public static boolean testFunctors(){ SummaryReport instance = new SummaryReport(); return instance.model.checkFunctors(null,instance.getClass()); } public String getLabelResource() { return "summary_report"; //$NON-NLS-1$ } public void add(SampleResult res) { Calculator row = null; final String sampleLabel = res.getSampleLabel(useGroupName.isSelected()); synchronized (tableRows) { row = (Calculator) tableRows.get(sampleLabel); if (row == null) { row = new Calculator(sampleLabel); tableRows.put(row.getLabel(), row); model.insertRow(row, model.getRowCount() - 1); } } /* * Synch is needed because multiple threads can update the counts. */ synchronized(row) { row.addSample(res); } Calculator tot =
StatVisualizer() { super(); model = new ObjectTableModel(COLUMNS, SamplingStatCalculator.class, new Functor[] { new Functor("getLabel"), //$NON-NLS-1$ new Functor("getCount"), //$NON-NLS-1$ new Functor("getMeanAsNumber"), //$NON-NLS-1$ new Functor("getMedian"), //$NON-NLS-1$ new Functor("getPercentPoint", //$NON-NLS-1$ new Object[] { new Float(.900) }), new Functor("getMin"), //$NON-NLS-1$ new Functor("getMax"), //$NON-NLS-1$ new Functor("getErrorPercentage"), //$NON-NLS-1$ new Functor("getRate"), //$NON-NLS-1$ new Functor("getKBPerSecond") //$NON-NLS-1$ }, new Functor[] { null, null, null, null, null, null, null, null, null, null }, new Class[] { String.class, Long.class, Long.class, Long.class, Long.class, Long.class, Long.class, String.class, String.class, String.class }); clearData(); init(); } // Column renderers private static final TableCellRenderer[] RENDERERS = new TableCellRenderer[]{ null, // Label null, // count null, // Mean null, // median null, // 90% null, // Min null, // Max new NumberRenderer("#0.00%"), // Error %age //$NON-NLS-1$ new RateRenderer("#.0"), // Throughput //$NON-NLS-1$ new NumberRenderer("#.0"), // pageSize //$NON-NLS-1$ }; public static boolean testFunctors(){ StatVisualizer instance = new StatVisualizer(); return instance.model.checkFunctors(null,instance.getClass()); } public String getLabelResource() { return "aggregate_report"; //$NON-NLS-1$ } public void add(SampleResult res) { SamplingStatCalculator row = null; final String sampleLabel = res.getSampleLabel(useGroupName.isSelected()); synchronized (tableRows) { row = (SamplingStatCalculator) tableRows.get(sampleLabel); if (row == null) { row = new SamplingStatCalculator(sampleLabel); tableRows.put(row.getLabel(), row); model.insertRow(row, model.getRowCount() - 1); } } /* * Synch is needed because multiple threads can update the counts. */ synchronized(row) { row.addSample(res); } SamplingStatCalculator tot =
Clone fragments detected by clone detection tool
File path: /jakarta-jmeter-2.3.2/src/org/apache/jmeter/visualizers/SummaryReport.java File path: /jakarta-jmeter-2.3.2/src/org/apache/jmeter/visualizers/StatVisualizer.java
Method name: Method name:
Number of AST nodes: 0 Number of AST nodes: 0
1
SummaryReport() {
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StatVisualizer() {
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		super();
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		super();
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		model = new ObjectTableModel(COLUMNS,
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		model = new ObjectTableModel(COLUMNS, 
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				Calculator.class,// All rows have this class
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				SamplingStatCalculator.class,
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                new Functor[] { 
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                new Functor[] { 
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                    new Functor("getLabel"),              //$NON-NLS-1$
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                    new Functor("getLabel"),   //$NON-NLS-1$
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                    new Functor("getCount"),              //$NON-NLS-1$
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                    new Functor("getCount"),  //$NON-NLS-1$
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    				new Functor("getMeanAsNumber"),       //$NON-NLS-1$
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    				new Functor("getMeanAsNumber"),   //$NON-NLS-1$
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                    new Functor("getMin"),              
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                    new Functor("getMedian"),  //$NON-NLS-1$
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  //$NON-NLS-1$
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    				new Functor("getPercentPoint",  //$NON-NLS-1$
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                    new Functor("getMax"),              
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                            new Object[] { new Float(.900) }), 
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  //$NON-NLS-1$
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                    new Functor("getMin"),  //$NON-NLS-1$
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                    new Functor("getStandardDeviation"),  //$NON-NLS-1$
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                    new Functor("getMax"),   //$NON-NLS-1$
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                    new Functor("getErrorPercentage"),    //$NON-NLS-1$
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                    new Functor("getErrorPercentage"),   //$NON-NLS-1$
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                    new Functor("getRate"),               //$NON-NLS-1$
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                    new Functor("getRate"),  //$NON-NLS-1$
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    				new Functor("getKBPerSecond"),        //$NON-NLS-1$
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    				new Functor("getKBPerSecond")
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                    new Functor("getAvgPageBytes"),       //$NON-NLS-1$
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   //$NON-NLS-1$
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                },
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                },
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                new Functor[] { null, null, null, null, null, null, null, null , null, null }, 
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                new Functor[] { null, null, null, null, null, null, null, null, null, null }, 
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                new Class[] { String.class, Long.class, Long.class, Long.class, Long.class, 
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                new Class[] { String.class, Long.class, Long.class, Long.class, Long.class, 
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                              String.class, String.class, String.class, String.class, String.class });
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                              Long.class, Long.class, String.class, String.class, String.class });
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		clearData();
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		clearData();
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		init();
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		init();
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	}
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	}
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	// Column renderers
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	private static final TableCellRenderer[] RENDERERS = 
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		new TableCellRenderer[]{
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		    null, // Label
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		    null, // count
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		    null, // Mean
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		    null, // median
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		    null, // 90%
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		    null, // Min
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		    null, // Max
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		    new NumberRenderer("#0.00%"), // Error %age //$NON-NLS-1$
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		    new RateRenderer("#.0"),      // Throughput //$NON-NLS-1$
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		    new NumberRenderer("#.0"),    // pageSize   //$NON-NLS-1$
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		};
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	public static boolean testFunctors(){
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	public static boolean testFunctors(){
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		SummaryReport instance = new SummaryReport();
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		StatVisualizer instance = new StatVisualizer();
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		return instance.model.checkFunctors(null,instance.getClass());
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		return instance.model.checkFunctors(null,instance.getClass());
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	}
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	}
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	public String getLabelResource() {
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	public String getLabelResource() {
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		return "summary_report";  //$NON-NLS-1$
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		return "aggregate_report";  //$NON-NLS-1$
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	}
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	}
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	public void add(SampleResult res) {
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	public void add(SampleResult res) {
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		Calculator row = null;
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		SamplingStatCalculator row = null;
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        final String sampleLabel = res.getSampleLabel(useGroupName.isSelected());
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        final String sampleLabel = res.getSampleLabel(useGroupName.isSelected());
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		synchronized (tableRows) {
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		synchronized (tableRows) {
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            row = (Calculator) tableRows.get(sampleLabel);
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            row = (SamplingStatCalculator) tableRows.get(sampleLabel);
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			if (row == null) {
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			if (row == null) {
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				row = new Calculator(sampleLabel);
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				row = new SamplingStatCalculator(sampleLabel);
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				tableRows.put(row.getLabel(), row);
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				tableRows.put(row.getLabel(), row);
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				model.insertRow(row, model.getRowCount() - 1);
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				model.insertRow(row, model.getRowCount() - 1);
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			}
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			}
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		}
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		}
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		/*
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        /*
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 * Synch is needed because multiple threads can update the counts.
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         * Synch is needed because multiple threads can update the counts.
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		 */
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         */
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synchronized(row) {
61
        synchronized(row) { 
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		    row.addSample(res);
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            row.addSample(res);
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		}
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        }
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Calculator tot =
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		SamplingStatCalculator tot =
Summary
Number of common nesting structure subtrees0
Number of refactorable cases0
Number of non-refactorable cases0
Time elapsed for finding largest common nesting structure subtrees (ms)0.0
Clones location
Number of node comparisons0