Examples of com.google.uzaygezen.core.CompactHilbertCurve

com.google.uzaygezen.core.CompactHilbertCurve
Compact Hilbert curve implementation that uses the minimum number of bits needed to establish a bijection between the multidimensional space and the compact Hilbert index, that is, {@code sum(i=0..n-1, m[i])}.
The main difference from the paper(s) is that we reverse the order of the dimensions so that we keep the natural orientation of the curve.
This class is not thread safe. @author Daniel Aioanei

    final byte[][] qualifiers = {"NICE".getBytes(Charsets.ISO_8859_1),};
    MultiDimensionalSpec spec = new MultiDimensionalSpec(Ints.asList(30, 10, 25));
    // Add some data.
    Random rnd = new Random(TestUtils.SEED);
    int[][] data = generateData(spec, 1 << 16, rnd);
    SpaceFillingCurve sfc = new CompactHilbertCurve(spec);
    logger.log(Level.INFO, "Populating table with up to {0} rows.", data.length);
    populateTable(family, qualifiers, spec, data, sfc, table);
    int cacheSize = 1 << 8;
    logger.log(Level.INFO, "Building cache of size {0}.", cacheSize);
    // The cache is optional.

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      bitsPerDimension.add(bitsOfPrecision);
      totalPrecision += bitsOfPrecision;
    }


    final CompactHilbertCurve compactHilbertCurve = new CompactHilbertCurve(
        new MultiDimensionalSpec(
            bitsPerDimension));
    final PrimitiveHilbertSFCOperations testOperations = new PrimitiveHilbertSFCOperations();


    // assume the unbounded SFC is the true results, regardless they should

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          bitsOfPrecision);


      bitsPerDimension.add(bitsOfPrecision);
    }


    final CompactHilbertCurve compactHilbertCurve = new CompactHilbertCurve(
        new MultiDimensionalSpec(
            bitsPerDimension));
    final PrimitiveHilbertSFCOperations testOperations = new PrimitiveHilbertSFCOperations();


    // assume the unbounded SFC is the true results, regardless they should

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    for (final SFCDimensionDefinition dimension : dimensionDefs) {
      bitsPerDimension.add(dimension.getBitsOfPrecision());
      totalPrecision += dimension.getBitsOfPrecision();
    }


    compactHilbertCurve = new CompactHilbertCurve(
        new MultiDimensionalSpec(
            bitsPerDimension));


    dimensionDefinitions = dimensionDefs;
    setOptimalOperations(

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