Examples of org.apache.jmeter.visualizers.SamplingStatCalculator

org.apache.jmeter.visualizers.SamplingStatCalculator
Aggegate sample data container. Just instantiate a new instance of this class, and then call {@link #addSample(SampleResult)} a few times, and pullthe stats out with whatever methods you prefer.

        String[] urls = this.getURLs().split(URL_DELIM);
        double[][] dataset = new double[urls.length][data.size()];
        for (int idx=0; idx < urls.length; idx++) {
            for (int idz=0; idz < data.size(); idz++) {
                DataSet dset = (DataSet)data.get(idz);
                SamplingStatCalculator ss = dset.getStatistics(urls[idx]);
                dataset[idx][idz] = getValue(ss);
            }
        }
        return dataset;
    }

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     */
    public List getStats(List urls) {
        ArrayList items = new ArrayList();
        Iterator itr = urls.iterator();
        if (itr.hasNext()) {
            SamplingStatCalculator row = (SamplingStatCalculator)itr.next();
            if (row != null) {
                items.add(row);
            }
        }
        return items;

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        // now add the samples to the HashMap
        String url = sample.getSampleLabel();
        if (url == null) {
            url = sample.getURL().toString();
        }
        SamplingStatCalculator row = (SamplingStatCalculator)data.get(url);
        if (row == null) {
            row = new SamplingStatCalculator();
            // just like the aggregate listener, we use the sample label to represent
            // a row. in this case, we use it as a key.
            this.data.put(url,row);
        }
        row.addSample(sample);
    }

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     */
    public double[][] convertToDouble(List data) {
        double[][] dataset = new double[1][data.size()];
        //Iterator itr = data.iterator();
        for (int idx=0; idx < data.size(); idx++) {
            SamplingStatCalculator stat = (SamplingStatCalculator)data.get(idx);
            dataset[0][idx] = getValue(stat);
        }
        return dataset;
    }

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        ArrayList dset = new ArrayList();
        ArrayList xlabels = new ArrayList();
        Iterator itr = data.iterator();
        while (itr.hasNext()) {
            DataSet item = (DataSet)itr.next();
            SamplingStatCalculator ss = item.getStatistics(this.getURL());
            if (ss != null) {
                // we add the entry
                dset.add(ss);
                if ( getXLabel().equals(X_DATA_FILENAME_LABEL) ) {
                    xlabels.add(item.getDataSourceName());

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    @SuppressWarnings({ "rawtypes", "unchecked" }) // Method is broken anyway
    public List getStats(List urls) {
        ArrayList items = new ArrayList();
        Iterator itr = urls.iterator();
        if (itr.hasNext()) {
            SamplingStatCalculator row = (SamplingStatCalculator)itr.next();
            if (row != null) {
                items.add(row);
            }
        }
        return items;

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        // now add the samples to the HashMap
        String url = sample.getSampleLabel();
        if (url == null) {
            url = sample.getURL().toString();
        }
        SamplingStatCalculator row = data.get(url);
        if (row == null) {
            row = new SamplingStatCalculator(url);
            // just like the aggregate listener, we use the sample label to represent
            // a row. in this case, we use it as a key.
            this.data.put(url,row);
        }
        row.addSample(sample);
    }

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     */
    public double[][] convertToDouble(List<SamplingStatCalculator> data) {
        double[][] dataset = new double[1][data.size()];
        //Iterator itr = data.iterator();
        for (int idx=0; idx < data.size(); idx++) {
            SamplingStatCalculator stat = data.get(idx);
            dataset[0][idx] = getValue(stat);
        }
        return dataset;
    }

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        ArrayList<SamplingStatCalculator> dset = new ArrayList<SamplingStatCalculator>();
        ArrayList<String> xlabels = new ArrayList<String>();
        Iterator<DataSet> itr = data.iterator();
        while (itr.hasNext()) {
            DataSet item = itr.next();
            SamplingStatCalculator ss = item.getStatistics(this.getURL());
            if (ss != null) {
                // we add the entry
                dset.add(ss);
                if ( getXLabel().equals(X_DATA_FILENAME_LABEL) ) {
                    xlabels.add(item.getDataSourceName());

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        String[] urls = this.getURLs().split(URL_DELIM);
        double[][] dataset = new double[urls.length][data.size()];
        for (int idx=0; idx < urls.length; idx++) {
            for (int idz=0; idz < data.size(); idz++) {
                DataSet dset = data.get(idz);
                SamplingStatCalculator ss = dset.getStatistics(urls[idx]);
                dataset[idx][idz] = getValue(ss);
            }
        }
        return dataset;
    }

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