Examples with ConfigRO org.knime.core.node.config.ConfigRO used on opensource projects

Example 16 with ConfigRO

use of org.knime.core.node.config.ConfigRO in project knime-core by knime.

the class HistogramColumn method loadHistogramsPrivate.

private static Map<Integer, HistogramNumericModel> loadHistogramsPrivate(final File histogramsGz, final Map<Integer, Map<Integer, Set<RowKey>>> numericKeys, final BinNumberSelectionStrategy strategy, final double[] means) throws IOException, InvalidSettingsException {
    final FileInputStream is = new FileInputStream(histogramsGz);
    final GZIPInputStream inData = new GZIPInputStream(is);
    final ConfigRO config = NodeSettings.loadFromXML(inData);
    Map<Integer, HistogramNumericModel> histograms = new HashMap<Integer, HistogramNumericModel>();
    // .getConfig(HISTOGRAMS);
    ConfigRO hs = config;
    int[] numColumnIndices = config.getIntArray(NUMERIC_COLUMNS);
    for (int colIdx : numColumnIndices) {
        Config h = hs.getConfig(HISTOGRAM + colIdx);
        double min = h.getDouble(MIN), max = h.getDouble(MAX), width = h.getDouble(WIDTH);
        int maxCount = h.getInt(MAX_COUNT);
        int rowCount = h.getInt(ROW_COUNT);
        String colName = h.getString(COL_NAME);
        double[] binMins = h.getDoubleArray(BIN_MINS), binMaxes = h.getDoubleArray(BIN_MAXES);
        int[] binCounts = h.getIntArray(BIN_COUNTS);
        double mean = means[colIdx];
        HistogramNumericModel histogramData = new HistogramNumericModel(min, max, binMins.length, colIdx, colName, min, max, mean);
        for (int i = binMins.length; i-- > 0; ) {
            histogramData.getBins().set(i, histogramData.new NumericBin(binMins[i], binMaxes[i]));
            histogramData.getBins().get(i).setCount(binCounts[i]);
        }
        histogramData.setMaxCount(maxCount);
        histogramData.setRowCount(rowCount);
        assert Math.abs(histogramData.m_width - width) < 1e-9 : "histogram data width: " + histogramData.m_width + " width: " + width;
        histograms.put(colIdx, histogramData);
        numericKeys.put(colIdx, new HashMap<Integer, Set<RowKey>>());
    }
    return histograms;
}