casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator > Class Template Reference

Class to calculate statistics in a "classical" sense, ie using accumulators with no special filtering beyond optional range filtering etc. More...

#include <ClassicalStatistics.h>

Inheritance diagram for casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >:
casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >

List of all members.

Public Member Functions

 ClassicalStatistics ()
 ClassicalStatistics (const ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator > &cs)
 copy semantics
virtual ~ClassicalStatistics ()
ClassicalStatistics< AccumType,
DataIterator, MaskIterator,
WeightsIterator > & 		operator= (const ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator > &other)
 copy semantics
virtual StatisticsData::ALGORITHM algorithm () const
 get the algorithm that this object uses for computing stats
virtual AccumType getMedian (CountedPtr< uInt64 > knownNpts=NULL, CountedPtr< AccumType > knownMin=NULL, CountedPtr< AccumType > knownMax=NULL, uInt binningThreshholdSizeBytes=4096 *4096, Bool persistSortedArray=False, uInt64 nBins=10000)
 In the following group of methods, if the size of the composite dataset is smaller than binningThreshholdSizeBytes, the composite dataset will be (perhaps partially) sorted and persisted in memory during the call.
virtual AccumType getMedianAndQuantiles (std::map< Double, AccumType > &quantiles, const std::set< Double > &fractions, CountedPtr< uInt64 > knownNpts=NULL, CountedPtr< AccumType > knownMin=NULL, CountedPtr< AccumType > knownMax=NULL, uInt binningThreshholdSizeBytes=4096 *4096, Bool persistSortedArray=False, uInt64 nBins=10000)
 If one needs to compute both the median and quantile values, it is better to call getMedianAndQuantiles() rather than getMedian() and getQuantiles() separately, as the first will scan large data sets fewer times than calling the separate methods.
virtual AccumType getMedianAbsDevMed (CountedPtr< uInt64 > knownNpts=NULL, CountedPtr< AccumType > knownMin=NULL, CountedPtr< AccumType > knownMax=NULL, uInt binningThreshholdSizeBytes=4096 *4096, Bool persistSortedArray=False, uInt64 nBins=10000)
 get the median of the absolute deviation about the median of the data.
virtual std::map< Double,
AccumType > 		getQuantiles (const std::set< Double > &fractions, CountedPtr< uInt64 > knownNpts=NULL, CountedPtr< AccumType > knownMin=NULL, CountedPtr< AccumType > knownMax=NULL, uInt binningThreshholdSizeBytes=4096 *4096, Bool persistSortedArray=False, uInt64 nBins=10000)
 Get the specified quantiles.
virtual void getMinMax (AccumType &mymin, AccumType &mymax)
 scan the dataset(s) that have been added, and find the min and max.
virtual uInt64 getNPts ()
 scan the dataset(s) that have been added, and find the number of good points.
virtual std::pair< Int64, Int64 > getStatisticIndex (StatisticsData::STATS stat)
 see base class description
Bool hasData () const
 Has any data been added to this object? Will return False if the object has been reset and no data have been added afterward.
virtual void reset ()
 reset object to initial state.
virtual void setCalculateAsAdded (Bool c)
 Should statistics be updated with calls to addData or should they only be calculated upon calls to getStatistics etc? Beware that calling this will automatically reinitialize the object, so that it will contain no references to data et al.
void setDataProvider (StatsDataProvider< AccumType, DataIterator, MaskIterator, WeightsIterator > *dataProvider)
 An exception will be thrown if setCalculateAsAdded(True) has been called.
void setStatsToCalculate (std::set< StatisticsData::STATS > &stats)
 Provide guidance to algorithms by specifying a priori which statistics the caller would like calculated.

Protected Member Functions

virtual void _accumNpts (uInt64 &npts, const DataIterator &dataBegin, Int64 nr, uInt dataStride) const
 scan through the data set to determine the number of good (unmasked, weight > 0, within range) points.
virtual void _accumNpts (uInt64 &npts, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude) const
virtual void _accumNpts (uInt64 &npts, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride) const
virtual void _accumNpts (uInt64 &npts, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude) const
virtual void _accumNpts (uInt64 &npts, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride) const
virtual void _accumNpts (uInt64 &npts, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude) const
virtual void _accumNpts (uInt64 &npts, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude) const
virtual void _accumNpts (uInt64 &npts, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride) const
void _accumulate (StatsData< AccumType > &stats, const AccumType &datum, const LocationType &location)
void _accumulate (StatsData< AccumType > &stats, const AccumType &datum, const AccumType &weight, const LocationType &location)
void _addData ()
 Allows derived classes to do things after data is set or added.
void _clearData ()
void _clearStats ()
void _doMinMax (AccumType &vmin, AccumType &vmax)
 scan dataset(s) to find min and max
virtual void _findBins (vector< vector< uInt64 > > &binCounts, vector< CountedPtr< AccumType > > &sameVal, vector< Bool > &allSame, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const vector< typename StatisticsUtilities< AccumType >::BinDesc > &binDesc, const vector< AccumType > &maxLimit) const
 Get the counts of data within the specified histogram bins.
virtual void _findBins (vector< vector< uInt64 > > &binCounts, vector< CountedPtr< AccumType > > &sameVal, vector< Bool > &allSame, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude, const vector< typename StatisticsUtilities< AccumType >::BinDesc > &binDesc, const vector< AccumType > &maxLimit) const
virtual void _findBins (vector< vector< uInt64 > > &binCounts, vector< CountedPtr< AccumType > > &sameVal, vector< Bool > &allSame, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const vector< typename StatisticsUtilities< AccumType >::BinDesc > &binDesc, const vector< AccumType > &maxLimit) const
virtual void _findBins (vector< vector< uInt64 > > &binCounts, vector< CountedPtr< AccumType > > &sameVal, vector< Bool > &allSame, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude, const vector< typename StatisticsUtilities< AccumType >::BinDesc > &binDesc, const vector< AccumType > &maxLimit) const
virtual void _findBins (vector< vector< uInt64 > > &binCounts, vector< CountedPtr< AccumType > > &sameVal, vector< Bool > &allSame, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const vector< typename StatisticsUtilities< AccumType >::BinDesc > &binDesc, const vector< AccumType > &maxLimit) const
virtual void _findBins (vector< vector< uInt64 > > &binCounts, vector< CountedPtr< AccumType > > &sameVal, vector< Bool > &allSame, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude, const vector< typename StatisticsUtilities< AccumType >::BinDesc > &binDesc, const vector< AccumType > &maxLimit) const
virtual void _findBins (vector< vector< uInt64 > > &binCounts, vector< CountedPtr< AccumType > > &sameVal, vector< Bool > &allSame, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude, const vector< typename StatisticsUtilities< AccumType >::BinDesc > &binDesc, const vector< AccumType > &maxLimit) const
virtual void _findBins (vector< vector< uInt64 > > &binCounts, vector< CountedPtr< AccumType > > &sameVal, vector< Bool > &allSame, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const vector< typename StatisticsUtilities< AccumType >::BinDesc > &binDesc, const vector< AccumType > &maxLimit) const
Bool _getDoMaxMin () const
Bool _getIDataset () const
virtual StatsData< AccumType > _getInitialStats () const
AccumType _getStatistic (StatisticsData::STATS stat)
StatsData< AccumType > _getStatistics ()
virtual StatsData< AccumType > & _getStatsData ()
 retreive stats structure.
virtual const StatsData
< AccumType > & 		_getStatsData () const
virtual void _minMax (CountedPtr< AccumType > &mymin, CountedPtr< AccumType > &mymax, const DataIterator &dataBegin, Int64 nr, uInt dataStride) const
virtual void _minMax (CountedPtr< AccumType > &mymin, CountedPtr< AccumType > &mymax, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude) const
virtual void _minMax (CountedPtr< AccumType > &mymin, CountedPtr< AccumType > &mymax, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride) const
virtual void _minMax (CountedPtr< AccumType > &mymin, CountedPtr< AccumType > &mymax, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude) const
virtual void _minMax (CountedPtr< AccumType > &mymin, CountedPtr< AccumType > &mymax, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride) const
virtual void _minMax (CountedPtr< AccumType > &mymin, CountedPtr< AccumType > &mymax, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude) const
virtual void _minMax (CountedPtr< AccumType > &mymin, CountedPtr< AccumType > &mymax, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude) const
virtual void _minMax (CountedPtr< AccumType > &mymin, CountedPtr< AccumType > &mymax, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride) const
virtual void _populateArray (vector< AccumType > &ary, const DataIterator &dataBegin, Int64 nr, uInt dataStride) const
 populate an unsorted array with valid data.
virtual void _populateArray (vector< AccumType > &ary, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude) const
 ranges
virtual void _populateArray (vector< AccumType > &ary, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride) const
virtual void _populateArray (vector< AccumType > &ary, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude) const
 mask and ranges
virtual void _populateArray (vector< AccumType > &ary, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride) const
 weights
virtual void _populateArray (vector< AccumType > &ary, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude) const
 weights and ranges
virtual void _populateArray (vector< AccumType > &ary, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride) const
 weights and mask
virtual void _populateArray (vector< AccumType > &ary, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude) const
 weights, mask, ranges
virtual void _populateArrays (vector< vector< AccumType > > &arys, uInt64 &currentCount, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const vector< std::pair< AccumType, AccumType > > &includeLimits, uInt64 maxCount) const
 Create a vector of unsorted arrays, one array for each bin defined by includeLimits.
virtual void _populateArrays (vector< vector< AccumType > > &arys, uInt64 &currentCount, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude, const vector< std::pair< AccumType, AccumType > > &includeLimits, uInt64 maxCount) const
 ranges
virtual void _populateArrays (vector< vector< AccumType > > &arys, uInt64 &currentCount, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const vector< std::pair< AccumType, AccumType > > &includeLimits, uInt64 maxCount) const
virtual void _populateArrays (vector< vector< AccumType > > &arys, uInt64 &currentCount, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude, const vector< std::pair< AccumType, AccumType > > &includeLimits, uInt64 maxCount) const
 mask and ranges
virtual void _populateArrays (vector< vector< AccumType > > &arys, uInt64 &currentCount, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const vector< std::pair< AccumType, AccumType > > &includeLimits, uInt64 maxCount) const
 weights
virtual void _populateArrays (vector< vector< AccumType > > &arys, uInt64 &currentCount, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude, const vector< std::pair< AccumType, AccumType > > &includeLimits, uInt64 maxCount) const
 weights and ranges
virtual void _populateArrays (vector< vector< AccumType > > &arys, uInt64 &currentCount, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const vector< std::pair< AccumType, AccumType > > &includeLimits, uInt64 maxCount) const
 weights and mask
virtual void _populateArrays (vector< vector< AccumType > > &arys, uInt64 &currentCount, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude, const vector< std::pair< AccumType, AccumType > > &includeLimits, uInt64 maxCount) const
 weights, mask, ranges
virtual Bool _populateTestArray (vector< AccumType > &ary, const DataIterator &dataBegin, Int64 nr, uInt dataStride, uInt maxElements) const
 no weights, no mask, no ranges
virtual Bool _populateTestArray (vector< AccumType > &ary, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude, uInt maxElements) const
 ranges
virtual Bool _populateTestArray (vector< AccumType > &ary, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, uInt maxElements) const
 mask
virtual Bool _populateTestArray (vector< AccumType > &ary, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude, uInt maxElements) const
 mask and ranges
virtual Bool _populateTestArray (vector< AccumType > &ary, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, uInt maxElements) const
 weights
virtual Bool _populateTestArray (vector< AccumType > &ary, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude, uInt maxElements) const
 weights and ranges
virtual Bool _populateTestArray (vector< AccumType > &ary, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, uInt maxElements) const
 weights and mask
virtual Bool _populateTestArray (vector< AccumType > &ary, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude, uInt maxElements) const
 weights, mask, ranges
virtual void _unweightedStats (StatsData< AccumType > &stats, uInt64 &ngood, LocationType &location, const DataIterator &dataBegin, Int64 nr, uInt dataStride)
 no weights, no mask, no ranges
virtual void _unweightedStats (StatsData< AccumType > &stats, uInt64 &ngood, LocationType &location, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude)
 no weights, no mask
virtual void _unweightedStats (StatsData< AccumType > &stats, uInt64 &ngood, LocationType &location, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride)
virtual void _unweightedStats (StatsData< AccumType > &stats, uInt64 &ngood, LocationType &location, const DataIterator &dataBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude)
virtual void _updateDataProviderMaxMin (const StatsData< AccumType > &threadStats)
virtual void _weightedStats (StatsData< AccumType > &stats, LocationType &location, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride)
 has weights, but no mask, no ranges
virtual void _weightedStats (StatsData< AccumType > &stats, LocationType &location, const DataIterator &dataBegin, const WeightsIterator &weightsBegin, Int64 nr, uInt dataStride, const DataRanges &ranges, Bool isInclude)
virtual void _weightedStats (StatsData< AccumType > &stats, LocationType &location, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride)
virtual void _weightedStats (StatsData< AccumType > &stats, LocationType &location, const DataIterator &dataBegin, const WeightsIterator &weightBegin, Int64 nr, uInt dataStride, const MaskIterator &maskBegin, uInt maskStride, const DataRanges &ranges, Bool isInclude)

Private Member Functions

vector< vector< uInt64 > > _binCounts (vector< CountedPtr< AccumType > > &sameVal, const vector< typename StatisticsUtilities< AccumType >::BinDesc > &binDesc)
 tally the number of data points that fall into each bin provided by binDesc Any points that are less than binDesc.minLimit or greater than binDesc.minLimit + binDesc.nBins*binDesc.binWidth are not included in the counts.
void _computeBins (vector< vector< uInt64 > > &bins, vector< CountedPtr< AccumType > > &sameVal, vector< Bool > &allSame, DataIterator dataIter, MaskIterator maskIter, WeightsIterator weightsIter, uInt64 count, const vector< typename StatisticsUtilities< AccumType >::BinDesc > &binDesc, const vector< AccumType > &maxLimit)
void _computeDataArray (vector< AccumType > &ary, DataIterator dataIter, MaskIterator maskIter, WeightsIterator weightsIter, uInt64 dataCount)
void _computeDataArrays (vector< vector< AccumType > > &arys, uInt64 &currentCount, DataIterator dataIter, MaskIterator maskIter, WeightsIterator weightsIter, uInt64 dataCount, const vector< std::pair< AccumType, AccumType > > &includeLimits, uInt64 maxCount)
void _computeMinMax (CountedPtr< AccumType > &mymax, CountedPtr< AccumType > &mymin, DataIterator dataIter, MaskIterator maskIter, WeightsIterator weightsIter, uInt64 dataCount)
void _computeStats (StatsData< AccumType > &stats, uInt64 &ngood, LocationType &location, DataIterator dataIter, MaskIterator maskIter, WeightsIterator weightsIter, uInt64 count)
void _createDataArray (vector< AccumType > &array)
 Create an unsorted array of the complete data set.
void _createDataArrays (vector< vector< AccumType > > &arrays, const vector< std::pair< AccumType, AccumType > > &includeLimits, uInt64 maxCount)
vector< std::map< uInt64,
AccumType > > 		_dataFromMultipleBins (const vector< typename StatisticsUtilities< AccumType >::BinDesc > &binDesc, uInt64 maxArraySize, const vector< std::set< uInt64 > > &dataIndices, uInt64 nBins)
 extract data from multiple histograms given by binDesc.
vector< std::map< uInt64,
AccumType > > 		_dataFromSingleBins (const vector< uInt64 > &binNpts, uInt64 maxArraySize, const vector< std::pair< AccumType, AccumType > > &binLimits, const vector< std::set< uInt64 > > &dataIndices, uInt64 nBins)
Int64 _doNpts ()
Bool _increment (Bool includeIDataset)
 increment the relevant loop counters
void _incrementThreadIters (DataIterator &dataIter, MaskIterator &maskIter, WeightsIterator &weightsIter, uInt64 &offset, uInt nthreads) const
 increment thread-based iterators
std::map< uInt64, AccumType > _indicesToValues (CountedPtr< uInt64 > knownNpts, CountedPtr< AccumType > knownMin, CountedPtr< AccumType > knownMax, uInt64 maxArraySize, const std::set< uInt64 > &dataIndices, Bool persistSortedArray, uInt64 nBins)
 get the values for the specified indices in the sorted array of all good data
void _initIterators ()
void _initLoopVars ()
void _initThreadVars (uInt &nBlocks, uInt64 &extra, uInt &nthreads, PtrHolder< DataIterator > &dataIter, PtrHolder< MaskIterator > &maskIter, PtrHolder< WeightsIterator > &weightsIter, PtrHolder< uInt64 > &offset, uInt nThreadsMax) const
Bool _isNptsSmallerThan (vector< AccumType > &arrayToSort, uInt maxArraySize)
 Determine by scanning the dataset if the number of good points is smaller than maxArraySize.
std::set< uInt64 > _medianIndices (CountedPtr< uInt64 > knownNpts)
 get the index (for odd npts) or indices (for even npts) of the median of the sorted array.
uInt _nThreadsMax () const
uInt _threadIdx () const
Bool _valuesFromSortedArray (std::map< uInt64, AccumType > &values, CountedPtr< uInt64 > knownNpts, const std::set< uInt64 > &indices, uInt64 maxArraySize, Bool persistSortedArray)
 get values from sorted array if the array is small enough to be held in memory.

Static Private Member Functions

static void _convertToAbsDevMedArray (vector< AccumType > &myArray, AccumType median)
 convert in place by taking the absolute value of the difference of the vector and the median
static void _makeBins (typename StatisticsUtilities< AccumType >::BinDesc &bins, AccumType minData, AccumType maxData, uInt maxBins, Bool allowPad)
 If allowPad is True, then pad the lower side of the lowest bin and the higher side of the highest bin so that minData and maxData do not fall on the edge of their respective bins.
static void _mergeResults (vector< vector< uInt64 > > &bins, vector< CountedPtr< AccumType > > &sameVal, vector< Bool > &allSame, const PtrHolder< vector< vector< uInt64 > > > &tBins, const PtrHolder< vector< CountedPtr< AccumType > > > &tSameVal, const PtrHolder< vector< Bool > > &tAllSame, uInt nThreadsMax)

Private Attributes

StatsData< AccumType > _statsData
Int64 _idataset
Bool _calculateAsAdded
Bool _doMaxMin
Bool _doMedAbsDevMed
Bool _mustAccumulate
Bool _hasData
vector< DataIterator >
::const_iterator 		_dend
 mutables, used to mitigate repeated code
vector< DataIterator >
::const_iterator 		_diter
vector< Int64 >::const_iterator _citer
vector< uInt >::const_iterator _dsiter
std::map< uInt, MaskIterator > _masks
 maps data to masks
uInt _maskStride
std::map< uInt, WeightsIterator > _weights
 maps data to weights
std::map< uInt, DataRanges > _ranges
std::map< uInt, Bool > _isIncludeRanges
Bool _hasMask
Bool _hasRanges
Bool _hasWeights
Bool _myIsInclude
DataRanges _myRanges
MaskIterator _myMask
DataIterator _myData
WeightsIterator _myWeights
uInt _dataCount
uInt _myStride
uInt64 _myCount

Static Private Attributes

static const uInt CACHE_PADDING
static const uInt BLOCK_SIZE

Detailed Description

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
class casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >

Class to calculate statistics in a "classical" sense, ie using accumulators with no special filtering beyond optional range filtering etc.

setCalculateAsAdded() allows one to specify if statistics should be calculated and updated on upon each call to set/addData(). If False, statistics will be calculated only when getStatistic(), getStatistics(), or similar methods are called. Setting this value to True allows the caller to not have to keep all the data accessible at once. Note however, that all data must be simultaneously accessible if quantile (eg median) calculations are desired.

I attempted to write this class using the Composite design pattern, with eg the _unweightedStats() and _weightedStats() methods in their own class, but for reasons I don't understand, that impacted performance significantly. So I'm using the current architecture, which I know is a bit a maintenance nightmare.

Definition at line 60 of file ClassicalStatistics.h.

Constructor & Destructor Documentation

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::ClassicalStatistics (  ) 
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::ClassicalStatistics ( const ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator > &  cs  ) 

copy semantics

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::~ClassicalStatistics (  )  [virtual]

Member Function Documentation

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_accumNpts ( uInt64 &  npts,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_accumNpts ( uInt64 &  npts,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_accumNpts ( uInt64 &  npts,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_accumNpts ( uInt64 &  npts,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_accumNpts ( uInt64 &  npts,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_accumNpts ( uInt64 &  npts,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_accumNpts ( uInt64 &  npts,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, casacore::HingesFencesStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, and casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_accumNpts ( uInt64 &  npts,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride 
) const [inline, protected, virtual]

scan through the data set to determine the number of good (unmasked, weight > 0, within range) points.

The first with no mask, no ranges, and no weights is trivial with npts = nr in this class, but is implemented here so that derived classes may override it.

Reimplemented in casacore::ConstrainedRangeStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, casacore::HingesFencesStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, and casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_accumulate ( StatsData< AccumType > &  stats,
const AccumType &  datum,
const AccumType &  weight,
const LocationType &  location 
) [inline, protected]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_accumulate ( StatsData< AccumType > &  stats,
const AccumType &  datum,
const LocationType &  location 
) [inline, protected]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_addData (  )  [protected, virtual]

Allows derived classes to do things after data is set or added.

Default implementation does nothing.

Reimplemented from casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
vector<vector<uInt64> > casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_binCounts ( vector< CountedPtr< AccumType > > &  sameVal,
const vector< typename StatisticsUtilities< AccumType >::BinDesc > &  binDesc 
) [private]

tally the number of data points that fall into each bin provided by binDesc Any points that are less than binDesc.minLimit or greater than binDesc.minLimit + binDesc.nBins*binDesc.binWidth are not included in the counts.

A data point that falls exactly on a bin boundary is considered to be in the higher index bin. sameVal will be non-null if all the good values in the histogram range are the same. In that case, the value held will be the value of each of those data points.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_clearData (  )  [protected, virtual]

Reimplemented from casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Reimplemented in casacore::FitToHalfStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_clearStats (  )  [protected]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_computeBins ( vector< vector< uInt64 > > &  bins,
vector< CountedPtr< AccumType > > &  sameVal,
vector< Bool > &  allSame,
DataIterator  dataIter,
MaskIterator  maskIter,
WeightsIterator  weightsIter,
uInt64  count,
const vector< typename StatisticsUtilities< AccumType >::BinDesc > &  binDesc,
const vector< AccumType > &  maxLimit 
) [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_computeDataArray ( vector< AccumType > &  ary,
DataIterator  dataIter,
MaskIterator  maskIter,
WeightsIterator  weightsIter,
uInt64  dataCount 
) [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_computeDataArrays ( vector< vector< AccumType > > &  arys,
uInt64 &  currentCount,
DataIterator  dataIter,
MaskIterator  maskIter,
WeightsIterator  weightsIter,
uInt64  dataCount,
const vector< std::pair< AccumType, AccumType > > &  includeLimits,
uInt64  maxCount 
) [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_computeMinMax ( CountedPtr< AccumType > &  mymax,
CountedPtr< AccumType > &  mymin,
DataIterator  dataIter,
MaskIterator  maskIter,
WeightsIterator  weightsIter,
uInt64  dataCount 
) [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_computeStats ( StatsData< AccumType > &  stats,
uInt64 &  ngood,
LocationType &  location,
DataIterator  dataIter,
MaskIterator  maskIter,
WeightsIterator  weightsIter,
uInt64  count 
) [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
static void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_convertToAbsDevMedArray ( vector< AccumType > &  myArray,
AccumType  median 
) [static, private]

convert in place by taking the absolute value of the difference of the vector and the median

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_createDataArray ( vector< AccumType > &  array  )  [private]

Create an unsorted array of the complete data set.

If includeLimits is specified, only points within those limits (including min but excluding max, as per definition of bins), are included.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_createDataArrays ( vector< vector< AccumType > > &  arrays,
const vector< std::pair< AccumType, AccumType > > &  includeLimits,
uInt64  maxCount 
) [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
vector<std::map<uInt64, AccumType> > casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_dataFromMultipleBins ( const vector< typename StatisticsUtilities< AccumType >::BinDesc > &  binDesc,
uInt64  maxArraySize,
const vector< std::set< uInt64 > > &  dataIndices,
uInt64  nBins 
) [private]

extract data from multiple histograms given by binDesc.

dataIndices represent the indices of the sorted arrays of values to extract. There should be exactly one set of data indices to extract for each supplied histogram. The data indices are relative to the minimum value of the minimum bin in their repsective histograms. The ordering of the maps in the returned vector represent the ordering of histograms in binDesc. binDesc should contain non-overlapping histograms and the histograms should be specified in ascending order.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
vector<std::map<uInt64, AccumType> > casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_dataFromSingleBins ( const vector< uInt64 > &  binNpts,
uInt64  maxArraySize,
const vector< std::pair< AccumType, AccumType > > &  binLimits,
const vector< std::set< uInt64 > > &  dataIndices,
uInt64  nBins 
) [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_doMinMax ( AccumType &  vmin,
AccumType &  vmax 
) [protected]

scan dataset(s) to find min and max

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Int64 casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_doNpts (  )  [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_findBins ( vector< vector< uInt64 > > &  binCounts,
vector< CountedPtr< AccumType > > &  sameVal,
vector< Bool > &  allSame,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const vector< typename StatisticsUtilities< AccumType >::BinDesc > &  binDesc,
const vector< AccumType > &  maxLimit 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_findBins ( vector< vector< uInt64 > > &  binCounts,
vector< CountedPtr< AccumType > > &  sameVal,
vector< Bool > &  allSame,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude,
const vector< typename StatisticsUtilities< AccumType >::BinDesc > &  binDesc,
const vector< AccumType > &  maxLimit 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_findBins ( vector< vector< uInt64 > > &  binCounts,
vector< CountedPtr< AccumType > > &  sameVal,
vector< Bool > &  allSame,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude,
const vector< typename StatisticsUtilities< AccumType >::BinDesc > &  binDesc,
const vector< AccumType > &  maxLimit 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_findBins ( vector< vector< uInt64 > > &  binCounts,
vector< CountedPtr< AccumType > > &  sameVal,
vector< Bool > &  allSame,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const vector< typename StatisticsUtilities< AccumType >::BinDesc > &  binDesc,
const vector< AccumType > &  maxLimit 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_findBins ( vector< vector< uInt64 > > &  binCounts,
vector< CountedPtr< AccumType > > &  sameVal,
vector< Bool > &  allSame,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude,
const vector< typename StatisticsUtilities< AccumType >::BinDesc > &  binDesc,
const vector< AccumType > &  maxLimit 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_findBins ( vector< vector< uInt64 > > &  binCounts,
vector< CountedPtr< AccumType > > &  sameVal,
vector< Bool > &  allSame,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const vector< typename StatisticsUtilities< AccumType >::BinDesc > &  binDesc,
const vector< AccumType > &  maxLimit 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_findBins ( vector< vector< uInt64 > > &  binCounts,
vector< CountedPtr< AccumType > > &  sameVal,
vector< Bool > &  allSame,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude,
const vector< typename StatisticsUtilities< AccumType >::BinDesc > &  binDesc,
const vector< AccumType > &  maxLimit 
) const [protected, virtual]

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_findBins ( vector< vector< uInt64 > > &  binCounts,
vector< CountedPtr< AccumType > > &  sameVal,
vector< Bool > &  allSame,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const vector< typename StatisticsUtilities< AccumType >::BinDesc > &  binDesc,
const vector< AccumType > &  maxLimit 
) const [protected, virtual]

Get the counts of data within the specified histogram bins.

The number of arrays within binCounts will be equal to the number of histograms in binDesc. Each array within binCounts will have the same number of elements as the number of bins in its corresponding histogram in binDesc.

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_getDoMaxMin (  )  const [inline, protected]

Definition at line 349 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_getIDataset (  )  const [inline, protected]

Definition at line 351 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual StatsData<AccumType> casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_getInitialStats (  )  const [protected, virtual]

Reimplemented in casacore::FitToHalfStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
AccumType casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_getStatistic ( StatisticsData::STATS  stat  )  [protected, virtual]

Implements casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
StatsData<AccumType> casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_getStatistics (  )  [protected, virtual]

Implements casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Reimplemented in casacore::FitToHalfStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual const StatsData<AccumType>& casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_getStatsData (  )  const [inline, protected, virtual]

Reimplemented in casacore::FitToHalfStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Definition at line 363 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual StatsData<AccumType>& casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_getStatsData (  )  [inline, protected, virtual]

retreive stats structure.

Allows derived classes to maintain their own StatsData structs.

Reimplemented in casacore::FitToHalfStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Definition at line 361 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_increment ( Bool  includeIDataset  )  [private]

increment the relevant loop counters

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_incrementThreadIters ( DataIterator &  dataIter,
MaskIterator &  maskIter,
WeightsIterator &  weightsIter,
uInt64 &  offset,
uInt  nthreads 
) const [private]

increment thread-based iterators

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
std::map<uInt64, AccumType> casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_indicesToValues ( CountedPtr< uInt64 >  knownNpts,
CountedPtr< AccumType >  knownMin,
CountedPtr< AccumType >  knownMax,
uInt64  maxArraySize,
const std::set< uInt64 > &  dataIndices,
Bool  persistSortedArray,
uInt64  nBins 
) [private]

get the values for the specified indices in the sorted array of all good data

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_initIterators (  )  [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_initLoopVars (  )  [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_initThreadVars ( uInt &  nBlocks,
uInt64 &  extra,
uInt &  nthreads,
PtrHolder< DataIterator > &  dataIter,
PtrHolder< MaskIterator > &  maskIter,
PtrHolder< WeightsIterator > &  weightsIter,
PtrHolder< uInt64 > &  offset,
uInt  nThreadsMax 
) const [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_isNptsSmallerThan ( vector< AccumType > &  arrayToSort,
uInt  maxArraySize 
) [private]

Determine by scanning the dataset if the number of good points is smaller than maxArraySize.

If so, arrayToSort will contain the unsorted data values. If not, this vector will be empty.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
static void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_makeBins ( typename StatisticsUtilities< AccumType >::BinDesc &  bins,
AccumType  minData,
AccumType  maxData,
uInt  maxBins,
Bool  allowPad 
) [static, private]

If allowPad is True, then pad the lower side of the lowest bin and the higher side of the highest bin so that minData and maxData do not fall on the edge of their respective bins.

If false, no padding so that minData and maxData are also exactly the histogram abscissa limits.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
std::set<uInt64> casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_medianIndices ( CountedPtr< uInt64 >  knownNpts  )  [private]

get the index (for odd npts) or indices (for even npts) of the median of the sorted array.

If knownNpts is not null, it will be used and must be correct. If it is null, the value of _npts will be used if it has been previously calculated. If not, the data sets will be scanned to determine npts.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
static void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_mergeResults ( vector< vector< uInt64 > > &  bins,
vector< CountedPtr< AccumType > > &  sameVal,
vector< Bool > &  allSame,
const PtrHolder< vector< vector< uInt64 > > > &  tBins,
const PtrHolder< vector< CountedPtr< AccumType > > > &  tSameVal,
const PtrHolder< vector< Bool > > &  tAllSame,
uInt  nThreadsMax 
) [static, private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_minMax ( CountedPtr< AccumType > &  mymin,
CountedPtr< AccumType > &  mymax,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride 
) const [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_minMax ( CountedPtr< AccumType > &  mymin,
CountedPtr< AccumType > &  mymax,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_minMax ( CountedPtr< AccumType > &  mymin,
CountedPtr< AccumType > &  mymax,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_minMax ( CountedPtr< AccumType > &  mymin,
CountedPtr< AccumType > &  mymax,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride 
) const [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_minMax ( CountedPtr< AccumType > &  mymin,
CountedPtr< AccumType > &  mymax,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_minMax ( CountedPtr< AccumType > &  mymin,
CountedPtr< AccumType > &  mymax,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride 
) const [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_minMax ( CountedPtr< AccumType > &  mymin,
CountedPtr< AccumType > &  mymax,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_minMax ( CountedPtr< AccumType > &  mymin,
CountedPtr< AccumType > &  mymax,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride 
) const [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
uInt casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_nThreadsMax (  )  const [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]

weights, mask, ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride 
) const [protected, virtual]

weights and mask

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]

weights and ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride 
) const [protected, virtual]

weights

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]

mask and ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride 
) const [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude 
) const [protected, virtual]

ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride 
) const [protected, virtual]

populate an unsorted array with valid data.

no weights, no mask, no ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArrays ( vector< vector< AccumType > > &  arys,
uInt64 &  currentCount,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude,
const vector< std::pair< AccumType, AccumType > > &  includeLimits,
uInt64  maxCount 
) const [protected, virtual]

weights, mask, ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArrays ( vector< vector< AccumType > > &  arys,
uInt64 &  currentCount,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const vector< std::pair< AccumType, AccumType > > &  includeLimits,
uInt64  maxCount 
) const [protected, virtual]

weights and mask

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArrays ( vector< vector< AccumType > > &  arys,
uInt64 &  currentCount,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude,
const vector< std::pair< AccumType, AccumType > > &  includeLimits,
uInt64  maxCount 
) const [protected, virtual]

weights and ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArrays ( vector< vector< AccumType > > &  arys,
uInt64 &  currentCount,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const vector< std::pair< AccumType, AccumType > > &  includeLimits,
uInt64  maxCount 
) const [protected, virtual]

weights

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArrays ( vector< vector< AccumType > > &  arys,
uInt64 &  currentCount,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude,
const vector< std::pair< AccumType, AccumType > > &  includeLimits,
uInt64  maxCount 
) const [protected, virtual]

mask and ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArrays ( vector< vector< AccumType > > &  arys,
uInt64 &  currentCount,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const vector< std::pair< AccumType, AccumType > > &  includeLimits,
uInt64  maxCount 
) const [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArrays ( vector< vector< AccumType > > &  arys,
uInt64 &  currentCount,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude,
const vector< std::pair< AccumType, AccumType > > &  includeLimits,
uInt64  maxCount 
) const [protected, virtual]

ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateArrays ( vector< vector< AccumType > > &  arys,
uInt64 &  currentCount,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const vector< std::pair< AccumType, AccumType > > &  includeLimits,
uInt64  maxCount 
) const [protected, virtual]

Create a vector of unsorted arrays, one array for each bin defined by includeLimits.

includeLimits should be non-overlapping and should be given in ascending order (the algorithm used assumes this). Once the sum of the lengths of all arrays equals maxCount the method will return with no further processing. no weights, no mask, no ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateTestArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude,
uInt  maxElements 
) const [protected, virtual]

weights, mask, ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateTestArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
uInt  maxElements 
) const [protected, virtual]

weights and mask

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateTestArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude,
uInt  maxElements 
) const [protected, virtual]

weights and ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateTestArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
uInt  maxElements 
) const [protected, virtual]

weights

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateTestArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude,
uInt  maxElements 
) const [protected, virtual]

mask and ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateTestArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
uInt  maxElements 
) const [protected, virtual]

mask

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateTestArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude,
uInt  maxElements 
) const [protected, virtual]

ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_populateTestArray ( vector< AccumType > &  ary,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
uInt  maxElements 
) const [protected, virtual]

no weights, no mask, no ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
uInt casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_threadIdx (  )  const [private]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_unweightedStats ( StatsData< AccumType > &  stats,
uInt64 &  ngood,
LocationType &  location,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude 
) [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_unweightedStats ( StatsData< AccumType > &  stats,
uInt64 &  ngood,
LocationType &  location,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride 
) [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_unweightedStats ( StatsData< AccumType > &  stats,
uInt64 &  ngood,
LocationType &  location,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude 
) [protected, virtual]

no weights, no mask

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_unweightedStats ( StatsData< AccumType > &  stats,
uInt64 &  ngood,
LocationType &  location,
const DataIterator &  dataBegin,
Int64  nr,
uInt  dataStride 
) [protected, virtual]

no weights, no mask, no ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_updateDataProviderMaxMin ( const StatsData< AccumType > &  threadStats  )  [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_valuesFromSortedArray ( std::map< uInt64, AccumType > &  values,
CountedPtr< uInt64 >  knownNpts,
const std::set< uInt64 > &  indices,
uInt64  maxArraySize,
Bool  persistSortedArray 
) [private]

get values from sorted array if the array is small enough to be held in memory.

Note that this is the array containing all good data, not data in just a single bin representing a subset of good data. Returns True if the data were successfully retrieved. If True is returned, the values map will contain a map of index to value.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_weightedStats ( StatsData< AccumType > &  stats,
LocationType &  location,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride,
const DataRanges &  ranges,
Bool  isInclude 
) [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_weightedStats ( StatsData< AccumType > &  stats,
LocationType &  location,
const DataIterator &  dataBegin,
const WeightsIterator &  weightBegin,
Int64  nr,
uInt  dataStride,
const MaskIterator &  maskBegin,
uInt  maskStride 
) [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_weightedStats ( StatsData< AccumType > &  stats,
LocationType &  location,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride,
const DataRanges &  ranges,
Bool  isInclude 
) [protected, virtual]
template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_weightedStats ( StatsData< AccumType > &  stats,
LocationType &  location,
const DataIterator &  dataBegin,
const WeightsIterator &  weightsBegin,
Int64  nr,
uInt  dataStride 
) [protected, virtual]

has weights, but no mask, no ranges

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual StatisticsData::ALGORITHM casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::algorithm (  )  const [inline, virtual]

get the algorithm that this object uses for computing stats

Implements casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Reimplemented in casacore::ChauvenetCriterionStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, casacore::FitToHalfStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, and casacore::HingesFencesStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Definition at line 77 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual AccumType casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::getMedian ( CountedPtr< uInt64 >  knownNpts = NULL,
CountedPtr< AccumType >  knownMin = NULL,
CountedPtr< AccumType >  knownMax = NULL,
uInt  binningThreshholdSizeBytes = 4096 *4096,
Bool  persistSortedArray = False,
uInt64  nBins = 10000 
) [virtual]

In the following group of methods, if the size of the composite dataset is smaller than binningThreshholdSizeBytes, the composite dataset will be (perhaps partially) sorted and persisted in memory during the call.

In that case, and if persistSortedArray is True, this sorted array will remain in memory after the call and will be used on subsequent calls of this method when binningThreshholdSizeBytes is greater than the size of the composite dataset. If persistSortedArray is False, the sorted array will not be stored after this call completes and so any subsequent calls for which the dataset size is less than binningThreshholdSizeBytes, the dataset will be sorted from scratch. Values which are not included due to non-unity strides, are not included in any specified ranges, are masked, or have associated weights of zero are not considered as dataset members for quantile computations. If one has a priori information regarding the number of points (npts) and/or the minimum and maximum values of the data set, these can be supplied to improve performance. Note however, that if these values are not correct, the resulting median and/or quantile values will also not be correct (although see the following notes regarding max/min). Note that if this object has already had getStatistics() called, and the min and max were calculated, there is no need to pass these values in as they have been stored internally and used (although passing them in shouldn't hurt anything). If provided, npts, the number of points falling in the specified ranges which are not masked and have weights > 0, should be exactly correct. min can be less than the true minimum, and max can be greater than the True maximum, but for best performance, these should be as close to the actual min and max as possible. In order for quantile computations to occur over multiple datasets, all datasets must be available. This means that if setCalculateAsAdded() was previously called by passing in a value of True, these methods will throw an exception as the previous call indicates that there is no guarantee that all datasets will be available. If one uses a data provider (by having called setDataProvider()), then this should not be an issue.

get the median of the distribution. For a dataset with an odd number of good points, the median is just the value at index int(N/2) in the equivalent sorted dataset, where N is the number of points. For a dataset with an even number of points, the median is the mean of the values at indices int(N/2)-1 and int(N/2) in the sorted dataset. nBins is the number of bins, per histogram, to use to bin the data. More bins decrease the likelihood that multiple passes of the data set will be necessary, but also increase the amount of memory used. If nBins is set to less than 1,000, it is automatically increased to 1,000; there should be no reason to ever set nBins to be this small.

Implements casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual AccumType casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::getMedianAbsDevMed ( CountedPtr< uInt64 >  knownNpts = NULL,
CountedPtr< AccumType >  knownMin = NULL,
CountedPtr< AccumType >  knownMax = NULL,
uInt  binningThreshholdSizeBytes = 4096 *4096,
Bool  persistSortedArray = False,
uInt64  nBins = 10000 
) [virtual]

get the median of the absolute deviation about the median of the data.

Implements casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual AccumType casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::getMedianAndQuantiles ( std::map< Double, AccumType > &  quantiles,
const std::set< Double > &  fractions,
CountedPtr< uInt64 >  knownNpts = NULL,
CountedPtr< AccumType >  knownMin = NULL,
CountedPtr< AccumType >  knownMax = NULL,
uInt  binningThreshholdSizeBytes = 4096 *4096,
Bool  persistSortedArray = False,
uInt64  nBins = 10000 
) [virtual]

If one needs to compute both the median and quantile values, it is better to call getMedianAndQuantiles() rather than getMedian() and getQuantiles() separately, as the first will scan large data sets fewer times than calling the separate methods.

The return value is the median; the quantiles are returned in the quantiles map. Values in the fractions set represent the locations in the CDF and should be between 0 and 1, exclusive.

Implements casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::getMinMax ( AccumType &  mymin,
AccumType &  mymax 
) [virtual]

scan the dataset(s) that have been added, and find the min and max.

This method may be called even if setStatsToCaclulate has been called and MAX and MIN has been excluded. If setCalculateAsAdded(True) has previously been called after this object has been (re)initialized, an exception will be thrown.

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual uInt64 casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::getNPts (  )  [virtual]

scan the dataset(s) that have been added, and find the number of good points.

This method may be called even if setStatsToCaclulate has been called and NPTS has been excluded. If setCalculateAsAdded(True) has previously been called after this object has been (re)initialized, an exception will be thrown.

Reimplemented in casacore::ConstrainedRangeStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, casacore::FitToHalfStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, and casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual std::map<Double, AccumType> casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::getQuantiles ( const std::set< Double > &  fractions,
CountedPtr< uInt64 >  knownNpts = NULL,
CountedPtr< AccumType >  knownMin = NULL,
CountedPtr< AccumType >  knownMax = NULL,
uInt  binningThreshholdSizeBytes = 4096 *4096,
Bool  persistSortedArray = False,
uInt64  nBins = 10000 
) [virtual]

Get the specified quantiles.

fractions must be between 0 and 1, noninclusive.

Implements casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Reimplemented in casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual std::pair<Int64, Int64> casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::getStatisticIndex ( StatisticsData::STATS  stat  )  [virtual]

see base class description

Implements casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Reimplemented in casacore::ConstrainedRangeStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, and casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::hasData (  )  const [inline]

Has any data been added to this object? Will return False if the object has been reset and no data have been added afterward.

Definition at line 182 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
ClassicalStatistics<AccumType, DataIterator, MaskIterator, WeightsIterator>& casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::operator= ( const ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator > &  other  ) 

copy semantics

Reimplemented from casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::reset (  )  [virtual]

reset object to initial state.

Clears all private fields including data, accumulators, etc.

Reimplemented in casacore::ChauvenetCriterionStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, casacore::ConstrainedRangeStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, casacore::FitToHalfStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, casacore::HingesFencesStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, and casacore::ConstrainedRangeStatistics< CASA_STATP >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
virtual void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::setCalculateAsAdded ( Bool  c  )  [virtual]

Should statistics be updated with calls to addData or should they only be calculated upon calls to getStatistics etc? Beware that calling this will automatically reinitialize the object, so that it will contain no references to data et al.

after this method has been called.

Reimplemented in casacore::ChauvenetCriterionStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, casacore::FitToHalfStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >, and casacore::HingesFencesStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::setDataProvider ( StatsDataProvider< AccumType, DataIterator, MaskIterator, WeightsIterator > *  dataProvider  ) 

An exception will be thrown if setCalculateAsAdded(True) has been called.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
void casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::setStatsToCalculate ( std::set< StatisticsData::STATS > &  stats  )  [virtual]

Provide guidance to algorithms by specifying a priori which statistics the caller would like calculated.

Reimplemented from casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Member Data Documentation

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_calculateAsAdded [private]

Definition at line 657 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
vector<Int64>::const_iterator casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_citer [mutable, private]

Definition at line 662 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
uInt casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_dataCount [mutable, private]

Definition at line 674 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
vector<DataIterator>::const_iterator casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_dend [mutable, private]

mutables, used to mitigate repeated code

Definition at line 661 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
vector<DataIterator>::const_iterator casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_diter [mutable, private]

Definition at line 661 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_doMaxMin [private]

Definition at line 657 of file ClassicalStatistics.h.

Referenced by casacore::ClassicalStatistics< CASA_STATP >::_getDoMaxMin().

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_doMedAbsDevMed [private]

Reimplemented in casacore::FitToHalfStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Definition at line 657 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
vector<uInt>::const_iterator casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_dsiter [mutable, private]

Definition at line 663 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_hasData [private]

Definition at line 657 of file ClassicalStatistics.h.

Referenced by casacore::ClassicalStatistics< CASA_STATP >::hasData().

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_hasMask [mutable, private]

Definition at line 669 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_hasRanges [mutable, private]

Definition at line 669 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_hasWeights [mutable, private]

Definition at line 669 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Int64 casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_idataset [private]

Definition at line 656 of file ClassicalStatistics.h.

Referenced by casacore::ClassicalStatistics< CASA_STATP >::_getIDataset().

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
std::map<uInt, Bool> casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_isIncludeRanges [mutable, private]

Reimplemented from casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Definition at line 668 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
std::map<uInt, MaskIterator> casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_masks [mutable, private]

maps data to masks

Reimplemented from casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Definition at line 664 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
uInt casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_maskStride [mutable, private]

Definition at line 665 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_mustAccumulate [private]

Definition at line 657 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
uInt64 casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_myCount [mutable, private]

Definition at line 675 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
DataIterator casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_myData [mutable, private]

Definition at line 672 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
Bool casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_myIsInclude [mutable, private]

Definition at line 669 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
MaskIterator casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_myMask [mutable, private]

Definition at line 671 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
DataRanges casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_myRanges [mutable, private]

Definition at line 670 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
uInt casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_myStride [mutable, private]

Definition at line 674 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
WeightsIterator casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_myWeights [mutable, private]

Definition at line 673 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
std::map<uInt, DataRanges> casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_ranges [mutable, private]

Definition at line 667 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
StatsData<AccumType> casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_statsData [private]

Reimplemented in casacore::FitToHalfStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Definition at line 655 of file ClassicalStatistics.h.

Referenced by casacore::ClassicalStatistics< CASA_STATP >::_getStatsData().

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
std::map<uInt, WeightsIterator> casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::_weights [mutable, private]

maps data to weights

Reimplemented from casacore::StatisticsAlgorithm< AccumType, DataIterator, MaskIterator, WeightsIterator >.

Definition at line 666 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
const uInt casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::BLOCK_SIZE [static, private]

Definition at line 678 of file ClassicalStatistics.h.

template<class AccumType, class DataIterator, class MaskIterator = const Bool*, class WeightsIterator = DataIterator>
const uInt casacore::ClassicalStatistics< AccumType, DataIterator, MaskIterator, WeightsIterator >::CACHE_PADDING [static, private]

Definition at line 677 of file ClassicalStatistics.h.

The documentation for this class was generated from the following file:
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