StatisticsUtilities.h

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//# Copyright (C) 2000,2001
//# Associated Universities, Inc. Washington DC, USA.
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#ifndef SCIMATH_STATISTICSUTILITIES_H
#define SCIMATH_STATISTICSUTILITIES_H
 
#include <casacore/casa/Exceptions/Error.h>
#include <casacore/scimath/StatsFramework/StatisticsTypes.h>
#include <casacore/scimath/StatsFramework/StatsHistogram.h>
#include <casacore/casa/Utilities/DataType.h>
#include <casacore/casa/aips.h>
 
#include <iostream>
#include <casacore/casa/iosfwd.h>
 
namespace casacore {
 
CASA_STATD class StatsDataProvider;
 
// Various statistics related methods for the statistics framework.
 
template <class AccumType> class StatisticsUtilities {
public:
 
    StatisticsUtilities() = delete;
 
    ~StatisticsUtilities() {}
 
    // <group>
    // accumulate values. It is the responsibility of the caller to keep track
    // of the accumulated values after each call. This class does not since it
    // has no state. The accumulation derivation for mean and variance can be
    // found at
    // www.itl.nist.gov/div898/software/dataplot/refman2/ch2/weighvar.pdf
    // nvariance is an accumulated value. It is related to the variance via
    // variance = nvariance/npts or nvariance/(npts-1) depending on your
    // preferred definition in the non-weighted case and
    // wvariance = wnvariance/sumofweights or wnvariance/(sumofweights-1)
    // in the weighted case Its basic definition is
    // nvariance = sum((x_i - mean)**2),
    // wnvariance = sum((weight_i*(x_i - mean)**2)
    // npts is a Double rather than an Int64 because of compilation issues when
    // T is a Complex
    inline static void accumulate (
        Double& npts, AccumType& sum, AccumType& mean, const AccumType& datum
    );
 
    // in order to optimize performance, no checking is done for the
    // weight == 0 case callers should ensure that the weigth is not zero before
    // calling this method, and shouldn't call this method if the weight is 0.
    // Expect a segfault because of division by zero if sumweights and weight
    // are both zero.
    inline static void waccumulate (
        Double& npts, AccumType& sumweights, AccumType& wsum, AccumType& wmean,
        const AccumType& datum, const AccumType& weight
    );
 
    inline static void accumulate (
        Double& npts, AccumType& sum, AccumType& mean, AccumType& nvariance,
        AccumType& sumsq, const AccumType& datum
    );
 
    // wsumsq is the weighted sum of squares, sum(w_i*x_i*x_i)
    inline static void waccumulate (
        Double& npts, AccumType& sumweights, AccumType& wsum, AccumType& wmean,
        AccumType& wnvariance, AccumType& wsumsq, const AccumType& datum,
        const AccumType& weight
    );
    // </group>
 
    // <group>
    // The assignment operator of class LocationType should use copy, not
    // reference, semantics.
    template <class LocationType> inline static void accumulate (
        Double& npts, AccumType& sum, AccumType& mean, AccumType& nvariance,
        AccumType& sumsq, AccumType& datamin, AccumType& datamax,
        LocationType& minpos, LocationType& maxpos, const AccumType& datum,
        const LocationType& location
    );
 
    template <class LocationType, class DataType>
    inline static void accumulate (
        Double& npts, AccumType& sum, AccumType& mean, AccumType& nvariance,
        AccumType& sumsq, DataType& datamin, DataType& datamax,
        LocationType& minpos, LocationType& maxpos, const DataType& datum,
        const LocationType& location
    );
 
    template <class LocationType>
    inline static void waccumulate (
        Double& npts, AccumType& sumofweights, AccumType& sum, AccumType& mean,
        AccumType& nvariance, AccumType& sumsq, AccumType& datamin,
        AccumType& datamax, LocationType& minpos, LocationType& maxpos,
        const AccumType& datum, const AccumType& weight,
        const LocationType& location
    );
    // </group>
 
    // <group>
    // return True if the max or min was updated, False otherwise.
    template <class LocationType>
    inline static Bool doMax(
        AccumType& datamax, LocationType& maxpos, Bool isFirst,
        const AccumType& datum, const LocationType& location
    );
 
    template <class LocationType>
    inline static Bool doMin(
        AccumType& datamin, LocationType& minpos, Bool isFirst,
        const AccumType& datum, const LocationType& location
    );
    // </group>
 
    // <group>
    // These versions are for symmetric accumulation about a specified center
    // point. The actual point is accumulated, as is a "virtual" point that is
    // symmetric about the specified center. Of course, the trivial relationship
    // that the mean is the specified center is used to simplify things
    inline static void accumulateSym (
        Double& npts, AccumType& nvariance, AccumType& sumsq,
        const AccumType& datum, const AccumType& center
    );
 
    // wsumsq is the weighted sum of squares, sum(w_i*x_i*x_i)
    inline static void waccumulateSym (
        Double& npts, AccumType& sumweights, AccumType& wnvariance,
        AccumType& wsumsq, const AccumType& datum, const AccumType& weight,
        const AccumType& center
    );
 
    // <src>maxpos</src> and <src>minpos</src> refer to actual, not
    // virtually created, data only.
    template <class LocationType> inline static void accumulateSym (
        Double& npts, AccumType& nvariance,  AccumType& sumsq,
        AccumType& datamin, AccumType& datamax, LocationType& minpos,
        LocationType& maxpos, const AccumType& datum,
        const LocationType& location, const AccumType& center
    );
 
    template <class LocationType> inline static void waccumulateSym (
        Double& npts, AccumType& sumofweights, AccumType& nvariance,
        AccumType& sumsq, AccumType& datamin, AccumType& datamax,
        LocationType& minpos, LocationType& maxpos, const AccumType& datum,
        const AccumType& weight, const LocationType& location,
        const AccumType& center
    );
 
    // convert in place by taking the absolute value of the difference of the
    // std::vector and the median
    inline static void convertToAbsDevMedArray(
        DataArray& myArray, AccumType median
    );
    // </group>
 
    inline static Bool includeDatum(
        const AccumType& datum, typename DataRanges::const_iterator beginRange,
        typename DataRanges::const_iterator endRange, Bool isInclude
    );
 
 
    // The array can be changed by partially sorting it up to the largest index.
    // Return a map of index to value in the sorted array.
    static std::map<uInt64, AccumType> indicesToValues(
        std::vector<AccumType>& myArray, const std::set<uInt64>& indices
    );
 
    static void mergeResults(
        std::vector<BinCountArray>& bins,
        std::vector<std::shared_ptr<AccumType>>& sameVal,
        std::vector<Bool>& allSame,
        const std::unique_ptr<std::vector<BinCountArray>[]>& tBins,
        const std::unique_ptr<std::vector<std::shared_ptr<AccumType>>[]>& tSameVal,
        const std::unique_ptr<std::vector<Bool>[]>& tAllSame, uInt nThreadsMax
    );
 
    // use two statistics sets to get the statistics set that would
    // result in combining the two data sets used to produce the
    // individual statistics sets. The quantile related stats are
    // not considered, since it is not in general possible to determine
    // the resultant quantiles from the information provided; only
    // the aggregate statistics make sense.
    static StatsData<AccumType> combine(
        const std::vector<StatsData<AccumType>>& stats
    );
 
    template <class DataIterator, class MaskIterator, class WeightsIterator>
    static uInt nThreadsMax(
        const StatsDataProvider<CASA_STATP> *const dataProvider
    );
 
    static uInt threadIdx();
 
private:
 
    const static AccumType TWO;
 
};
 
}
 
#ifndef CASACORE_NO_AUTO_TEMPLATES
#include <casacore/scimath/StatsFramework/StatisticsUtilities.tcc>
#endif //# CASACORE_NO_AUTO_TEMPLATES
 
#endif