This class represents a whole cluster. The single items are stored as pointers to the abstract cluster item. This object can be constructed from many different base items and has more or less all memory-like functions. More...

#include <cluster.hpp>

Inheritance diagram for NumeRe::Cluster:

Collaboration diagram for NumeRe::Cluster:

Public Member Functions
	Cluster ()

	Cluster (const Cluster &cluster)

	Cluster (const std::vector< mu::value_type > &vVals)

	Cluster (const std::vector< std::string > &vStrings)

	~Cluster ()

Cluster &	operator= (const Cluster &cluster)

Cluster &	operator= (const std::vector< mu::value_type > &vVals)

Cluster &	operator= (const std::vector< std::string > &vStrings)

void	push_back (ClusterItem *item)
	This member function appends an arbitrary cluster item at the back of the internal cluster array buffer. More...

void	push_back (const mu::value_type &val)
	This member function constructs a new double cluster item at the back of the internal cluster array buffer. More...

void	push_back (const std::string &strval)
	This member function constructs a new string cluster item at the back of the internal cluster array buffer. More...

void	pop_back ()
	This member function removes the last item in the internal memory buffer and frees the associated memory. More...

size_t	size () const
	This member function returns the size of the internal memory buffer as items. More...

size_t	getBytes () const
	This member function returns the size of the associated memory as bytes. More...

void	clear ()
	This member function clears the internal memory buffer and frees the associated memory. More...

bool	isMixed () const
	This member function returns, whether the data in the cluster have mixed type. More...

bool	isDouble () const
	This member function returns, whether the data in the cluster have only double as type. More...

bool	isString () const
	This member function returns, whether the data in the cluster have only string as type. More...

unsigned short	getType (size_t i) const
	This member function returns the type of the i-th cluster item in the internal memory buffer. More...

mu::value_type	getDouble (size_t i) const
	This member function returns the data of the i-th cluster item in memory as a value. More...

void	setDouble (size_t i, const mu::value_type &value)
	This member function assigns a value as data for the i-th cluster item in memory. The type of the i-th cluster item is adapted on-the-fly. More...

std::vector< mu::value_type >	getDoubleArray () const
	This member function returns the data of all cluster items memory as a value vector. More...

void	insertDataInArray (std::vector< mu::value_type > *vTarget, const VectorIndex &_vLine)
	This member function inserts the data of all cluster items memory into the pointer passed to the function. This function is used for cached memory accesses. More...

void	setDoubleArray (const std::vector< mu::value_type > &vVals)
	This member function assigns values as data for the all cluster items in memory. The type of the cluster items is adapted on-the-fly. More...

void	setDoubleArray (int nNum, mu::value_type *data)
	This member function assigns values as data for the all cluster items in memory. The type of the cluster items is adapted on-the-fly. More...

void	assignResults (Indices _idx, int nNum, mu::value_type *data)
	This member function assigns calculation results as data for the cluster items in memory, which are referenced by the passed indices. The type of the cluster items is adapted on-the-fly. More...

std::string	getString (size_t i) const
	This member function returns the data of the i-th cluster item in memory as a string. More...

std::string	getInternalString (size_t i) const
	This member function returns the data of the i-th cluster item in memory as a string. More...

std::string	getParserString (size_t i) const
	This member function returns the data of the i-th cluster item in memory as a parser string. More...

void	setString (size_t i, const std::string &strval)
	This member function assigns a string as data for the i-th cluster item in memory. The type of the i-th cluster item is adapted on-the-fly. More...

std::vector< std::string >	getStringArray () const
	This member function returns the data of all cluster items memory as a value vector. More...

std::vector< std::string >	getInternalStringArray () const
	This member function returns the data of all cluster items memory as a value vector. More...

void	setStringArray (const std::vector< std::string > &sVals)
	This member function assigns values as data for the all cluster items in memory. The type of the cluster items is adapted on-the-fly. More...

std::vector< std::string >	to_string () const
	Converts all contents of this cluster to a vector of strings. Intended to be used for data transfer. More...

std::string	getVectorRepresentation () const
	This member function constructs a plain vector from the data in memory, which can be inserted in the commandline as a replacement for the call to the cluster. More...

std::string	getShortVectorRepresentation (size_t maxStringLength) const
	This member function constructs a short version of a plain vector from the data in memory, which is used to display a preview of the contained data in the variable viewers. More...

std::vector< int >	sortElements (long long int i1, long long int i2, const std::string &sSortingExpression)
	This public member function provides access to the sorting algorithm for the cluster object. More...

void	deleteItems (long long int i1, long long int i2)
	This public member function erases elements located from the index i1 to i2. More...

void	deleteItems (const VectorIndex &vLines)
	This public member function erases elements referenced by the passed VectorIndex. More...

mu::value_type	std (const VectorIndex &_vLine)
	This member function calculates the standard deviation of the data in memory. Cluster items, which do not have the type "value" are ignored. More...

mu::value_type	avg (const VectorIndex &_vLine)
	This member function calculates the average of the data in memory. Cluster items, which do not have the type "value" are ignored. More...

mu::value_type	max (const VectorIndex &_vLine)
	This member function calculates the maximal value of the data in memory. Cluster items, which do not have the type "value" are ignored. More...

std::string	strmax (const VectorIndex &_vLine)
	This member function calculates the maximal string value of the data in memory. Cluster items of all types are used and converted on-the-fly. More...

mu::value_type	min (const VectorIndex &_vLine)
	This member function calculates the minimal value of the data in memory. Cluster items, which do not have the type "value" are ignored. More...

std::string	strmin (const VectorIndex &_vLine)
	This member function calculates the minimal string value of the data in memory. Cluster items of all types are used and converted on-the-fly. More...

mu::value_type	prd (const VectorIndex &_vLine)
	This member function calculates the product of the data in memory. Cluster items, which do not have the type "value" are ignored. More...

mu::value_type	sum (const VectorIndex &_vLine)
	This member function calculates the sum of the data in memory. Cluster items, which do not have the type "value" are ignored. More...

std::string	strsum (const VectorIndex &_vLine)
	This member function calculates the string concatenation of the data in memory. Cluster items of all types are used and converted on-the-fly. More...

mu::value_type	num (const VectorIndex &_vLine)
	This member function counts the number of valid cluster items in memory. Cluster items of any type are counted, if they do have a valid value (depending on their type). More...

mu::value_type	and_func (const VectorIndex &_vLine)
	This member function applies an "AND" to the data in memory. Cluster items, which do not have the type "value" are ignored. More...

mu::value_type	or_func (const VectorIndex &_vLine)
	This member function applies an "OR" to the data in memory. Cluster items, which do not have the type "value" are ignored. More...

mu::value_type	xor_func (const VectorIndex &_vLine)
	This member function applies an "exclusive OR" to the data in memory. Cluster items, which do not have the type "value" are ignored. More...

mu::value_type	cnt (const VectorIndex &_vLine)
	This member function counts the number of valid cluster items in memory. Cluster items of any type are counted, if the vector index points to a valid location. More...

mu::value_type	norm (const VectorIndex &_vLine)
	This member function calculates the euclidic vector norm of the data in memory. Cluster items, which do not have the type "value" are ignored. More...

mu::value_type	cmp (const VectorIndex &_vLine, mu::value_type dRef, int _nType)
	This member function compares the values in memory with the referenced value and returns indices or values depending on the passed type. Cluster items, which do not have the type "value" are ignored. More...

mu::value_type	med (const VectorIndex &_vLine)
	This member function calculates the median value of the data in memory. Cluster items, which do not have the type "value" are ignored. More...

mu::value_type	pct (const VectorIndex &_vLine, mu::value_type dPct)
	This member function calculates the p-th percentile of the data in memory. Cluster items, which do not have the type "value" are ignored. More...

Public Member Functions inherited from Sorter
virtual	~Sorter ()

bool	qSort (int *nIndex, int nElements, int nColumn, long long int nLeft, long long int nRight, int nSign)
	This public member function is the interface to the quicksort algorithm, which itself is implemented as a private member function of this class. More...

bool	sortSubList (int nIndex, int nElements, ColumnKeys KeyList, long long int i1, long long int i2, long long int j1, int nSign, long long int nColumns)
	This public member function handles the hierarchical sorting process of many columns together. The ColumnKeys object contains the necessary information needed for the hierarchical sorting. More...

ColumnKeys *	evaluateKeyList (std::string &sKeyList, long long int nColumnCount)
	This public member function creates a ColumnKeys object from a string containing the hierarchical sorting order for the current sorting process. More...

Private Member Functions
void	assign (const Cluster &cluster)
	Private cluster copy assignment function. More...

void	assign (const std::vector< mu::value_type > &vVals)
	Private double vector assignment function. More...

void	assign (const std::vector< std::string > &vStrings)
	Private string vector assignment function. More...

void	assignVectorResults (Indices _idx, int nNum, mu::value_type *data)
	Private result assignment function for values using vectors as indices. More...

virtual int	compare (int i, int j, int col) override
	This private member function is an override for the sorter object. More...

virtual bool	isValue (int line, int col) override
	This private member function is an override for the sorter object. More...

void	reorderElements (std::vector< int > vIndex, int i1, int i2)
	This private member function reorders the elements in the cluster based upon the passed index vector. More...

void	reduceSize (size_t z)
	Reduces the size of this cluster to the specified number of elements. Does not create anything, if the cluster is already smaller. More...

Private Attributes
std::vector< ClusterItem * >	vClusterArray

bool	bSortCaseInsensitive

int	nGlobalType

Additional Inherited Members
virtual int	compare (int i, int j, int col)=0

virtual bool	isValue (int line, int col)=0

Detailed Description

This class represents a whole cluster. The single items are stored as pointers to the abstract cluster item. This object can be constructed from many different base items and has more or less all memory-like functions.

Definition at line 324 of file cluster.hpp.

Constructor & Destructor Documentation

◆ Cluster() [1/4]

NumeRe::Cluster::Cluster ( )

inline

Definition at line 341 of file cluster.hpp.

References bSortCaseInsensitive, NumeRe::ClusterItem::ITEMTYPE_INVALID, and nGlobalType.

◆ Cluster() [2/4]

NumeRe::Cluster::Cluster ( const Cluster & cluster )

inline

Definition at line 346 of file cluster.hpp.

References assign().

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◆ Cluster() [3/4]

NumeRe::Cluster::Cluster ( const std::vector< mu::value_type > & vVals )

inline

Definition at line 350 of file cluster.hpp.

References assign().

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◆ Cluster() [4/4]

NumeRe::Cluster::Cluster ( const std::vector< std::string > & vStrings )

inline

Definition at line 354 of file cluster.hpp.

References assign().

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◆ ~Cluster()

NumeRe::Cluster::~Cluster ( )

inline

Definition at line 359 of file cluster.hpp.

References clear().

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Member Function Documentation

◆ and_func()

mu::value_type NumeRe::Cluster::and_func ( const VectorIndex & _vLine )

This member function applies an "AND" to the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1506 of file cluster.cpp.

References getDouble(), getType(), mu::isnan(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, mu::real(), VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ assign() [1/3]

void NumeRe::Cluster::assign ( const Cluster & cluster )

private

Private cluster copy assignment function.

Parameters

cluster const Cluster&

Returns: void

Definition at line 39 of file cluster.cpp.

References bSortCaseInsensitive, clear(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, nGlobalType, and vClusterArray.

Referenced by Cluster(), and operator=().

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◆ assign() [2/3]

void NumeRe::Cluster::assign ( const std::vector< mu::value_type > & vVals )

private

Private double vector assignment function.

Parameters

vVals const std::vector<mu::value_type>&

Returns: void

Definition at line 67 of file cluster.cpp.

References bSortCaseInsensitive, clear(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, nGlobalType, and vClusterArray.

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◆ assign() [3/3]

void NumeRe::Cluster::assign ( const std::vector< std::string > & vStrings )

private

Private string vector assignment function.

Parameters

vStrings const std::vector<std::string>&

Returns: void

Definition at line 92 of file cluster.cpp.

References bSortCaseInsensitive, clear(), NumeRe::ClusterItem::ITEMTYPE_STRING, nGlobalType, and vClusterArray.

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◆ assignResults()

void NumeRe::Cluster::assignResults	(	Indices	_idx,
		int	nNum,
		mu::value_type *	data
	)

This member function assigns calculation results as data for the cluster items in memory, which are referenced by the passed indices. The type of the cluster items is adapted on-the-fly.

Parameters

_idx	Indices
nNum	int
data	mu::value_type*

Returns: void

Definition at line 720 of file cluster.cpp.

References assignVectorResults(), VectorIndex::front(), VectorIndex::isOpenEnd(), Indices::row, and setDoubleArray().

Referenced by FlowCtrl::calc(), FlowCtrl::compile(), NumeReKernel::MainLoop(), and Procedure::ProcCalc().

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◆ assignVectorResults()

void NumeRe::Cluster::assignVectorResults	(	Indices	_idx,
		int	nNum,
		mu::value_type *	data
	)

private

Private result assignment function for values using vectors as indices.

Parameters

_idx	Indices
nNum	int
data	mu::value_type*

Returns: void

Definition at line 119 of file cluster.cpp.

References VectorIndex::front(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, NumeRe::ClusterItem::ITEMTYPE_INVALID, max, nGlobalType, push_back(), Indices::row, VectorIndex::setOpenEndIndex(), size(), VectorIndex::size(), and vClusterArray.

Referenced by assignResults().

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◆ avg()

mu::value_type NumeRe::Cluster::avg ( const VectorIndex & _vLine )

This member function calculates the average of the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1198 of file cluster.cpp.

References date::abs(), getDouble(), getType(), mu::isnan(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence(), and std().

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◆ clear()

void NumeRe::Cluster::clear ( )

This member function clears the internal memory buffer and frees the associated memory.

Returns: void

Definition at line 395 of file cluster.cpp.

References NumeRe::ClusterItem::ITEMTYPE_INVALID, nGlobalType, and vClusterArray.

Referenced by assign(), NumeRe::StringParser::createStringOutput(), deleteItems(), performMatrixOperation(), NumeRe::StringParser::storeStringToDataObjects(), and ~Cluster().

◆ cmp()

mu::value_type NumeRe::Cluster::cmp	(	const VectorIndex &	_vLine,
		mu::value_type	dRef,
		int	_nType
	)

This member function compares the values in memory with the referenced value and returns indices or values depending on the passed type. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine	const VectorIndex&
dRef	mu::value_type
_nType	int

Returns: mu::value_type

Definition at line 1675 of file cluster.cpp.

References date::abs(), getDouble(), getType(), intCast(), mu::isnan(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, mu::real(), VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ cnt()

mu::value_type NumeRe::Cluster::cnt ( const VectorIndex & _vLine )

This member function counts the number of valid cluster items in memory. Cluster items of any type are counted, if the vector index points to a valid location.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1612 of file cluster.cpp.

References VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ compare()

int NumeRe::Cluster::compare	(	int	i,
		int	j,
		int	col
	)

overrideprivatevirtual

This private member function is an override for the sorter object.

Parameters

i	int
j	int
col	int

Returns: int

Implements Sorter.

Definition at line 160 of file cluster.cpp.

References bSortCaseInsensitive, getDouble(), getParserString(), isDouble(), isMixed(), isString(), mu::real(), toLowerCase(), and vClusterArray.

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◆ deleteItems() [1/2]

void NumeRe::Cluster::deleteItems ( const VectorIndex & vLines )

This public member function erases elements referenced by the passed VectorIndex.

Parameters

vLines const VectorIndex&

Returns: void

Definition at line 1116 of file cluster.cpp.

References NumeRe::ClusterItem::ITEMTYPE_INVALID, nGlobalType, VectorIndex::size(), and vClusterArray.

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◆ deleteItems() [2/2]

void NumeRe::Cluster::deleteItems	(	long long int	i1,
		long long int	i2
	)

This public member function erases elements located from the index i1 to i2.

Parameters

i1	long longint
i2	long longint

Returns: void

Definition at line 1072 of file cluster.cpp.

References clear(), NumeRe::ClusterItem::ITEMTYPE_INVALID, nGlobalType, and vClusterArray.

Referenced by searchAndDeleteCluster().

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◆ getBytes()

size_t NumeRe::Cluster::getBytes ( ) const

This member function returns the size of the associated memory as bytes.

Returns: size_t

Definition at line 369 of file cluster.cpp.

References getType(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, NumeRe::ClusterItem::ITEMTYPE_STRING, and vClusterArray.

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◆ getDouble()

mu::value_type NumeRe::Cluster::getDouble ( size_t i ) const

This member function returns the data of the i-th cluster item in memory as a value.

Parameters

i size_t

Returns: mu::value_type

Definition at line 541 of file cluster.cpp.

References vClusterArray.

Referenced by and_func(), avg(), cmd_show(), cmp(), compare(), NumeReDebugger::gatherLoopBasedInformations(), getDataFromObject(), getDoubleArray(), getShortVectorRepresentation(), NumeReKernel::getStringTable(), isValue(), max(), med(), min(), norm(), num(), or_func(), pct(), prd(), FlowCtrl::range_based_for_loop(), replaceDataEntities(), std(), sum(), to_string(), and xor_func().

◆ getDoubleArray()

std::vector< mu::value_type > NumeRe::Cluster::getDoubleArray ( ) const

This member function returns the data of all cluster items memory as a value vector.

Returns: std::vector<mu::value_type>

Definition at line 588 of file cluster.cpp.

References getDouble(), and vClusterArray.

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◆ getInternalString()

std::string NumeRe::Cluster::getInternalString ( size_t i ) const

This member function returns the data of the i-th cluster item in memory as a string.

Parameters

i size_t

Returns: std::string

Definition at line 763 of file cluster.cpp.

References vClusterArray.

Referenced by getInternalStringArray(), and FlowCtrl::range_based_for_loop().

◆ getInternalStringArray()

std::vector< std::string > NumeRe::Cluster::getInternalStringArray ( ) const

This member function returns the data of all cluster items memory as a value vector.

Returns: std::vector<std::string>

Definition at line 848 of file cluster.cpp.

References getInternalString(), and vClusterArray.

Referenced by tableMethod_categorize(), tableMethod_counteq(), tableMethod_findCols(), tableMethod_index(), and tableMethod_rank().

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◆ getParserString()

std::string NumeRe::Cluster::getParserString ( size_t i ) const

This member function returns the data of the i-th cluster item in memory as a parser string.

Parameters

i size_t

Returns: std::string

Definition at line 781 of file cluster.cpp.

References vClusterArray.

Referenced by compare(), ProcedureVarFactory::evaluateProcedureArguments(), getStringArray(), isValue(), num(), replaceDataEntities(), strmax(), and strmin().

◆ getShortVectorRepresentation()

std::string NumeRe::Cluster::getShortVectorRepresentation ( size_t maxStringLength ) const

This member function constructs a short version of a plain vector from the data in memory, which is used to display a preview of the contained data in the variable viewers.

Parameters

maxStringLength size_t

Returns: std::string

Definition at line 962 of file cluster.cpp.

References ellipsize(), getDouble(), getString(), getType(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, toString(), and vClusterArray.

Referenced by NumeReDebugger::decodeType().

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◆ getString()

std::string NumeRe::Cluster::getString ( size_t i ) const

This member function returns the data of the i-th cluster item in memory as a string.

Parameters

i size_t

Returns: std::string

Definition at line 745 of file cluster.cpp.

References vClusterArray.

Referenced by cmd_show(), NumeReDebugger::gatherLoopBasedInformations(), getShortVectorRepresentation(), and NumeReKernel::getStringTable().

◆ getStringArray()

std::vector< std::string > NumeRe::Cluster::getStringArray ( ) const

This member function returns the data of all cluster items memory as a value vector.

Returns: std::vector<std::string>

Definition at line 828 of file cluster.cpp.

References getParserString(), and vClusterArray.

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◆ getType()

unsigned short NumeRe::Cluster::getType ( size_t i ) const

This member function returns the type of the i-th cluster item in the internal memory buffer.

Parameters

i size_t

Returns: unsigned short

Definition at line 524 of file cluster.cpp.

References NumeRe::ClusterItem::ITEMTYPE_INVALID, and vClusterArray.

Referenced by and_func(), avg(), cmd_show(), cmp(), NumeReDebugger::gatherLoopBasedInformations(), getBytes(), getShortVectorRepresentation(), NumeReKernel::getStringTable(), isDouble(), isMixed(), isString(), isValue(), max(), med(), min(), norm(), num(), or_func(), pct(), FlowCtrl::range_based_for_loop(), replaceDataEntities(), setDouble(), setDoubleArray(), setString(), setStringArray(), std(), sum(), to_string(), and xor_func().

◆ getVectorRepresentation()

std::string NumeRe::Cluster::getVectorRepresentation ( ) const

This member function constructs a plain vector from the data in memory, which can be inserted in the commandline as a replacement for the call to the cluster.

Returns: std::string

Definition at line 929 of file cluster.cpp.

References to_string(), and vClusterArray.

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◆ insertDataInArray()

void NumeRe::Cluster::insertDataInArray	(	std::vector< mu::value_type > *	vTarget,
		const VectorIndex &	_vLine
	)

This member function inserts the data of all cluster items memory into the pointer passed to the function. This function is used for cached memory accesses.

Parameters

vTarget	std::vector<mu::value_type>*
_vLine	const VectorIndex&

Returns: void

Definition at line 612 of file cluster.cpp.

References VectorIndex::size(), and vClusterArray.

Referenced by handleCachedDataAccess().

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◆ isDouble()

bool NumeRe::Cluster::isDouble ( ) const

This member function returns, whether the data in the cluster have only double as type.

Returns: bool

Definition at line 451 of file cluster.cpp.

References getType(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, NumeRe::ClusterItem::ITEMTYPE_INVALID, NumeRe::ClusterItem::ITEMTYPE_MIXED, nGlobalType, and vClusterArray.

Referenced by compare(), handleCachedDataAccess(), FlowCtrl::range_based_for_loop(), replaceDataEntities(), strmax(), strmin(), and strsum().

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◆ isMixed()

bool NumeRe::Cluster::isMixed ( ) const

This member function returns, whether the data in the cluster have mixed type.

Returns: bool

Definition at line 414 of file cluster.cpp.

References getType(), NumeRe::ClusterItem::ITEMTYPE_INVALID, NumeRe::ClusterItem::ITEMTYPE_MIXED, nGlobalType, and vClusterArray.

Referenced by compare().

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◆ isString()

bool NumeRe::Cluster::isString ( ) const

This member function returns, whether the data in the cluster have only string as type.

Returns: bool

Definition at line 487 of file cluster.cpp.

References getType(), NumeRe::ClusterItem::ITEMTYPE_INVALID, NumeRe::ClusterItem::ITEMTYPE_MIXED, NumeRe::ClusterItem::ITEMTYPE_STRING, nGlobalType, and vClusterArray.

Referenced by compare(), max(), min(), FlowCtrl::range_based_for_loop(), and sum().

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◆ isValue()

bool NumeRe::Cluster::isValue	(	int	line,
		int	col
	)

overrideprivatevirtual

This private member function is an override for the sorter object.

Parameters

line	int
col	int

Returns: bool

Implements Sorter.

Definition at line 207 of file cluster.cpp.

References getDouble(), getParserString(), getType(), mu::isnan(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, NumeRe::ClusterItem::ITEMTYPE_STRING, mu::real(), and vClusterArray.

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◆ max()

mu::value_type NumeRe::Cluster::max ( const VectorIndex & _vLine )

This member function calculates the maximal value of the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1234 of file cluster.cpp.

References getDouble(), getType(), mu::isnan(), isString(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, mu::real(), VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ med()

mu::value_type NumeRe::Cluster::med ( const VectorIndex & _vLine )

This member function calculates the median value of the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1784 of file cluster.cpp.

References getDouble(), getType(), mu::isnan(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, qSortDouble(), mu::real(), VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ min()

mu::value_type NumeRe::Cluster::min ( const VectorIndex & _vLine )

This member function calculates the minimal value of the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1306 of file cluster.cpp.

References getDouble(), getType(), mu::isnan(), isString(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, mu::real(), VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ norm()

mu::value_type NumeRe::Cluster::norm ( const VectorIndex & _vLine )

This member function calculates the euclidic vector norm of the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1639 of file cluster.cpp.

References date::abs(), getDouble(), getType(), mu::isnan(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ num()

mu::value_type NumeRe::Cluster::num ( const VectorIndex & _vLine )

This member function counts the number of valid cluster items in memory. Cluster items of any type are counted, if they do have a valid value (depending on their type).

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1475 of file cluster.cpp.

References getDouble(), getParserString(), getType(), mu::isnan(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, NumeRe::ClusterItem::ITEMTYPE_STRING, mu::real(), VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ operator=() [1/3]

Cluster & NumeRe::Cluster::operator= ( const Cluster & cluster )

inline

Definition at line 364 of file cluster.hpp.

References assign().

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◆ operator=() [2/3]

Cluster & NumeRe::Cluster::operator= ( const std::vector< mu::value_type > & vVals )

inline

Definition at line 369 of file cluster.hpp.

References assign().

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◆ operator=() [3/3]

Cluster & NumeRe::Cluster::operator= ( const std::vector< std::string > & vStrings )

inline

Definition at line 374 of file cluster.hpp.

References assign().

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◆ or_func()

mu::value_type NumeRe::Cluster::or_func ( const VectorIndex & _vLine )

This member function applies an "OR" to the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1542 of file cluster.cpp.

References getDouble(), getType(), mu::isnan(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, mu::real(), VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ pct()

mu::value_type NumeRe::Cluster::pct	(	const VectorIndex &	_vLine,
		mu::value_type	dPct
	)

This member function calculates the p-th percentile of the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine	const VectorIndex&
dPct	mu::value_type

Returns: mu::value_type

Definition at line 1851 of file cluster.cpp.

References getDouble(), getType(), mu::isnan(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, qSortDouble(), mu::real(), VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ pop_back()

void NumeRe::Cluster::pop_back ( )

This member function removes the last item in the internal memory buffer and frees the associated memory.

Returns: void

Definition at line 337 of file cluster.cpp.

References NumeRe::ClusterItem::ITEMTYPE_INVALID, nGlobalType, and vClusterArray.

◆ prd()

mu::value_type NumeRe::Cluster::prd ( const VectorIndex & _vLine )

This member function calculates the product of the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1378 of file cluster.cpp.

References date::abs(), getDouble(), mu::isnan(), VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ push_back() [1/3]

void NumeRe::Cluster::push_back ( ClusterItem * item )

This member function appends an arbitrary cluster item at the back of the internal cluster array buffer.

Parameters

item	ClusterItem*

Returns: void

Definition at line 274 of file cluster.cpp.

References NumeRe::ClusterItem::getType(), NumeRe::ClusterItem::ITEMTYPE_INVALID, NumeRe::ClusterItem::ITEMTYPE_MIXED, nGlobalType, and vClusterArray.

Referenced by assignVectorResults(), NumeRe::StringParser::createStringOutput(), getDataFromObject(), replaceDataEntities(), setDouble(), setDoubleArray(), setString(), and setStringArray().

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◆ push_back() [2/3]

void NumeRe::Cluster::push_back ( const mu::value_type & val )

This member function constructs a new double cluster item at the back of the internal cluster array buffer.

Parameters

val	const mu::value_type&

Returns: void

Definition at line 296 of file cluster.cpp.

References NumeRe::ClusterItem::ITEMTYPE_INVALID, NumeRe::ClusterItem::ITEMTYPE_MIXED, NumeRe::ClusterItem::ITEMTYPE_STRING, nGlobalType, and vClusterArray.

◆ push_back() [3/3]

void NumeRe::Cluster::push_back ( const std::string & strval )

This member function constructs a new string cluster item at the back of the internal cluster array buffer.

Parameters

strval const std::string&

Returns: void

Definition at line 317 of file cluster.cpp.

References NumeRe::ClusterItem::ITEMTYPE_DOUBLE, NumeRe::ClusterItem::ITEMTYPE_INVALID, NumeRe::ClusterItem::ITEMTYPE_MIXED, nGlobalType, and vClusterArray.

◆ reduceSize()

void NumeRe::Cluster::reduceSize ( size_t s )

private

Reduces the size of this cluster to the specified number of elements. Does not create anything, if the cluster is already smaller.

Parameters

s size_t

Returns: void

Definition at line 253 of file cluster.cpp.

References vClusterArray.

Referenced by setDoubleArray(), and setStringArray().

◆ reorderElements()

void NumeRe::Cluster::reorderElements	(	std::vector< int >	vIndex,
		int	i1,
		int	i2
	)

private

This private member function reorders the elements in the cluster based upon the passed index vector.

Parameters

vIndex	std::vector<int>
i1	int
i2	int

Returns: void

Definition at line 230 of file cluster.cpp.

References vClusterArray.

Referenced by sortElements().

◆ setDouble()

void NumeRe::Cluster::setDouble	(	size_t	i,
		const mu::value_type &	value
	)

This member function assigns a value as data for the i-th cluster item in memory. The type of the i-th cluster item is adapted on-the-fly.

Parameters

i	size_t
value	const mu::value_type&

Returns: void

Definition at line 561 of file cluster.cpp.

References getType(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, NumeRe::ClusterItem::ITEMTYPE_INVALID, nGlobalType, push_back(), and vClusterArray.

Referenced by cmd_clear(), ProcedureVarFactory::createLocalInlineVars(), ProcedureVarFactory::createTestStatsCluster(), performMatrixOperation(), FlowCtrl::range_based_for_loop(), setDoubleArray(), NumeReKernel::StartUp(), NumeRe::StringParser::storeStringToDataObjects(), and FlowCtrl::updateTestStats().

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◆ setDoubleArray() [1/2]

void NumeRe::Cluster::setDoubleArray ( const std::vector< mu::value_type > & vVals )

This member function assigns values as data for the all cluster items in memory. The type of the cluster items is adapted on-the-fly.

Parameters

vVals const std::vector<mu::value_type>&

Returns: void

Definition at line 648 of file cluster.cpp.

References getType(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, nGlobalType, push_back(), reduceSize(), setDouble(), and vClusterArray.

Referenced by assignResults(), FlowCtrl::calc(), FlowCtrl::compile(), NumeReKernel::createCalculationAnswer(), ProcedureVarFactory::createLocalClusters(), NumeRe::StringParser::eval(), FlowCtrl::evalRangeBasedHeader(), ProcedureVarFactory::evaluateProcedureArguments(), Procedure::ProcCalc(), and NumeRe::StringParser::storeStringResults().

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◆ setDoubleArray() [2/2]

void NumeRe::Cluster::setDoubleArray	(	int	nNum,
		mu::value_type *	data
	)

This member function assigns values as data for the all cluster items in memory. The type of the cluster items is adapted on-the-fly.

Parameters

nNum	int
data	mu::value_type*

Returns: void

Definition at line 683 of file cluster.cpp.

References getType(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, nGlobalType, push_back(), reduceSize(), setDouble(), and vClusterArray.

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◆ setString()

void NumeRe::Cluster::setString	(	size_t	i,
		const std::string &	strval
	)

This member function assigns a string as data for the i-th cluster item in memory. The type of the i-th cluster item is adapted on-the-fly.

Parameters

i	size_t
strval	const std::string&

Returns: void

Definition at line 801 of file cluster.cpp.

References getType(), NumeRe::ClusterItem::ITEMTYPE_INVALID, NumeRe::ClusterItem::ITEMTYPE_STRING, nGlobalType, push_back(), and vClusterArray.

Referenced by ProcedureVarFactory::createLocalInlineStrings(), ProcedureVarFactory::createTestStatsCluster(), FlowCtrl::range_based_for_loop(), and NumeRe::StringParser::storeStringToDataObjects().

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◆ setStringArray()

void NumeRe::Cluster::setStringArray ( const std::vector< std::string > & sVals )

This member function assigns values as data for the all cluster items in memory. The type of the cluster items is adapted on-the-fly.

Parameters

sVals const std::vector<std::string>&

Returns: void

Definition at line 871 of file cluster.cpp.

References getType(), NumeRe::ClusterItem::ITEMTYPE_STRING, nGlobalType, push_back(), reduceSize(), and vClusterArray.

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◆ size()

size_t NumeRe::Cluster::size ( ) const

This member function returns the size of the internal memory buffer as items.

Returns: size_t

Definition at line 356 of file cluster.cpp.

References vClusterArray.

Referenced by NumeRe::StringFuncHandler::applySpecialStringFuncs(), assignVectorResults(), NumeReDebugger::decodeType(), DataAccessParser::evalIndices(), ProcedureVarFactory::evaluateProcedureArguments(), Plot::extractDataValues(), getDataForFit(), NumeReKernel::getStringTable(), handleCachedDataAccess(), FlowCtrl::range_based_for_loop(), replaceDataEntities(), searchAndDeleteCluster(), sortClusters(), and NumeRe::ClusterManager::updateClusterSizeVariables().

◆ sortElements()

std::vector< int > NumeRe::Cluster::sortElements	(	long long int	i1,
		long long int	i2,
		const std::string &	sSortingExpression
	)

This public member function provides access to the sorting algorithm for the cluster object.

Parameters

i1	long longint
i2	long longint
sSortingExpression	const std::string&

Returns: std::vector<int>

Definition at line 1009 of file cluster.cpp.

References bSortCaseInsensitive, SyntaxError::CANNOT_SORT_DATA, findParameter(), SyntaxError::invalid_position, Sorter::qSort(), reorderElements(), and vClusterArray.

Referenced by sortClusters().

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◆ std()

mu::value_type NumeRe::Cluster::std ( const VectorIndex & _vLine )

This member function calculates the standard deviation of the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1160 of file cluster.cpp.

References date::abs(), avg(), getDouble(), getType(), mu::isnan(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ strmax()

std::string NumeRe::Cluster::strmax ( const VectorIndex & _vLine )

This member function calculates the maximal string value of the data in memory. Cluster items of all types are used and converted on-the-fly.

Parameters

_vLine const VectorIndex&

Returns: string

Definition at line 1271 of file cluster.cpp.

References getParserString(), isDouble(), VectorIndex::size(), and vClusterArray.

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◆ strmin()

std::string NumeRe::Cluster::strmin ( const VectorIndex & _vLine )

This member function calculates the minimal string value of the data in memory. Cluster items of all types are used and converted on-the-fly.

Parameters

_vLine const VectorIndex&

Returns: std::string

Definition at line 1343 of file cluster.cpp.

References getParserString(), isDouble(), VectorIndex::size(), and vClusterArray.

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◆ strsum()

std::string NumeRe::Cluster::strsum ( const VectorIndex & _vLine )

This member function calculates the string concatenation of the data in memory. Cluster items of all types are used and converted on-the-fly.

Parameters

_vLine const VectorIndex&

Returns: std::string

Definition at line 1444 of file cluster.cpp.

References isDouble(), VectorIndex::size(), and vClusterArray.

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◆ sum()

mu::value_type NumeRe::Cluster::sum ( const VectorIndex & _vLine )

This member function calculates the sum of the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1411 of file cluster.cpp.

References date::abs(), getDouble(), getType(), mu::isnan(), isString(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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◆ to_string()

std::vector< std::string > NumeRe::Cluster::to_string ( ) const

Converts all contents of this cluster to a vector of strings. Intended to be used for data transfer.

Returns: std::vector<std::string>

Definition at line 903 of file cluster.cpp.

References getDouble(), getType(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, toCmdString(), and vClusterArray.

Referenced by FlowCtrl::calc(), FlowCtrl::compile(), getVectorRepresentation(), and Procedure::ProcCalc().

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◆ xor_func()

mu::value_type NumeRe::Cluster::xor_func ( const VectorIndex & _vLine )

This member function applies an "exclusive OR" to the data in memory. Cluster items, which do not have the type "value" are ignored.

Parameters

_vLine const VectorIndex&

Returns: mu::value_type

Definition at line 1572 of file cluster.cpp.

References getDouble(), getType(), mu::isnan(), NumeRe::ClusterItem::ITEMTYPE_DOUBLE, mu::real(), VectorIndex::size(), and vClusterArray.

Referenced by replaceEntityOccurence().

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Member Data Documentation

◆ bSortCaseInsensitive

bool NumeRe::Cluster::bSortCaseInsensitive

private

Definition at line 328 of file cluster.hpp.

Referenced by assign(), Cluster(), compare(), and sortElements().

◆ nGlobalType

int NumeRe::Cluster::nGlobalType

mutableprivate

Definition at line 329 of file cluster.hpp.

Referenced by assign(), assignVectorResults(), clear(), Cluster(), deleteItems(), isDouble(), isMixed(), isString(), pop_back(), push_back(), setDouble(), setDoubleArray(), setString(), and setStringArray().

◆ vClusterArray

std::vector<ClusterItem*> NumeRe::Cluster::vClusterArray

private

Definition at line 327 of file cluster.hpp.

Referenced by and_func(), assign(), assignVectorResults(), avg(), clear(), cmp(), cnt(), compare(), deleteItems(), getBytes(), getDouble(), getDoubleArray(), getInternalString(), getInternalStringArray(), getParserString(), getShortVectorRepresentation(), getString(), getStringArray(), getType(), getVectorRepresentation(), insertDataInArray(), isDouble(), isMixed(), isString(), isValue(), max(), med(), min(), norm(), num(), or_func(), pct(), pop_back(), prd(), push_back(), reduceSize(), reorderElements(), setDouble(), setDoubleArray(), setString(), setStringArray(), size(), sortElements(), std(), strmax(), strmin(), strsum(), sum(), to_string(), and xor_func().

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

D:/CPP/numere-source/trunk/kernel/core/datamanagement/cluster.hpp
D:/CPP/numere-source/trunk/kernel/core/datamanagement/cluster.cpp

Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ Cluster() [1/4]

◆ Cluster() [2/4]

◆ Cluster() [3/4]

◆ Cluster() [4/4]

◆ ~Cluster()

Member Function Documentation

◆ and_func()

◆ assign() [1/3]

◆ assign() [2/3]

◆ assign() [3/3]

◆ assignResults()

◆ assignVectorResults()

◆ avg()

◆ clear()

◆ cmp()

◆ cnt()

◆ compare()

◆ deleteItems() [1/2]

◆ deleteItems() [2/2]

◆ getBytes()

◆ getDouble()

◆ getDoubleArray()

◆ getInternalString()

◆ getInternalStringArray()

◆ getParserString()

◆ getShortVectorRepresentation()

◆ getString()

◆ getStringArray()

◆ getType()

◆ getVectorRepresentation()

◆ insertDataInArray()

◆ isDouble()

◆ isMixed()

◆ isString()

◆ isValue()

◆ max()

◆ med()

◆ min()

◆ norm()

◆ num()

◆ operator=() [1/3]

◆ operator=() [2/3]

◆ operator=() [3/3]

◆ or_func()

◆ pct()

◆ pop_back()

◆ prd()

◆ push_back() [1/3]

◆ push_back() [2/3]

◆ push_back() [3/3]

◆ reduceSize()

◆ reorderElements()

◆ setDouble()

◆ setDoubleArray() [1/2]

◆ setDoubleArray() [2/2]

◆ setString()

◆ setStringArray()

◆ size()

◆ sortElements()

◆ std()

◆ strmax()

◆ strmin()

◆ strsum()

◆ sum()

◆ to_string()

◆ xor_func()

Member Data Documentation

◆ bSortCaseInsensitive

◆ nGlobalType

◆ vClusterArray