#include <saturation.hpp>

Inheritance diagram for pic::pic::Array< T >:

Public Member Functions
	Array ()
	Array. More...

	Array (int n)
	Array. More...

	Array (T *data, int nData, bool bShallow)
	Array. More...

	~Array ()

void	allocate (int n)
	allocate More...

void	release ()
	release More...

Array< T > *	clone ()
	clone More...

Static Public Member Functions
static T *	genValue (T value, int n, T *ret)
	genValue More...

static T *	genRange (T minVal, T step, T maxVal, T *ret, int &n)
	genRange More...

static T *	linspace (T minVal, T maxVal, int n, T *ret)
	linspace More...

static T	distanceSq (T data0, T data1, int n)
	distanceSq More...

static T *	zeros (int n)
	zeros More...

static T	norm_sq (float *data, int n)
	norm_sq More...

static T	norm (float *data, int n)
	norm More...

static float	normalize (float *data, int n, float norm_sq=-1.0f)
	normalize More...

static T	dot (T data0, T data1, int n)
	dot More...

static void	mul (T *data, int size, T scale)
	mul More...

static void	mul (T data, int size, T ret)
	mul More...

static T *	add (T data, int size, T ret)
	add More...

static void	div (T *data, int size, T value)
	div More...

static T	getMean (T *data, int size)
	getMean More...

static T	getVariance (T *data, int size)
	getVariance More...

static T	sum (T *data, int size)
	sum More...

static T *	cumsum (T vec, int size, T ret)
	cumsum More...

static T *	assign (T data, int size, T ret)
	assign More...

static T *	assign (T data, T *ret, int size)
	assign More...

static T *	apply (T data, int size, T ret, T(*func)(T))
	apply More...

static T	getMax (T *data, int size, int &ind)
	getMax More...

static T	getMin (T *data, int size, int &ind)
	getMin More...

static T	interp (T x, T y, int size, T xval)
	interp linearly interpolates x and y data More...

static int	binSearchLeft (T *data, T key, int low, int high)
	binSearchLeft More...

Public Attributes
T *	data

int	nData

Protected Attributes
bool	bShallow

Detailed Description

template<class T>
class pic::pic::Array< T >

The Array class.

Constructor & Destructor Documentation

◆ Array() [1/3]

template<class T >

pic::pic::Array< T >::Array ( )

inline

Array.

◆ Array() [2/3]

template<class T >

pic::pic::Array< T >::Array ( int n )

inline

Array.

Parameters

n

◆ Array() [3/3]

template<class T >

pic::pic::Array< T >::Array	(	T *	data,
		int	nData,
		bool	bShallow
	)

inline

Array.

Parameters

data
nData
bShallow

◆ ~Array()

template<class T >

pic::pic::Array< T >::~Array ( )

inline

Member Function Documentation

◆ add()

template<class T >

static T* pic::pic::Array< T >::add	(	T *	data,
		int	size,
		T *	ret
	)

inlinestatic

add

Parameters

data
size
ret

◆ allocate()

template<class T >

void pic::pic::Array< T >::allocate ( int n )

inline

allocate

Parameters

n

◆ apply()

template<class T >

static T* pic::pic::Array< T >::apply	(	T *	data,
		int	size,
		T *	ret,
		T(*)(T)	func
	)

inlinestatic

apply

Parameters

data
size
ret

Returns

◆ assign() [1/2]

template<class T >

static T* pic::pic::Array< T >::assign	(	T *	data,
		int	size,
		T *	ret
	)

inlinestatic

assign

Parameters

data
size
ret

Returns

◆ assign() [2/2]

template<class T >

static T* pic::pic::Array< T >::assign	(	T	data,
		T *	ret,
		int	size
	)

inlinestatic

assign

Parameters

data
ret
size

Returns

◆ binSearchLeft()

template<class T >

static int pic::pic::Array< T >::binSearchLeft	(	T *	data,
		T	key,
		int	low,
		int	high
	)

inlinestatic

binSearchLeft

Parameters

data
key
low
high

Returns

◆ clone()

template<class T >

Array<T>* pic::pic::Array< T >::clone ( )

inline

clone

Returns

◆ cumsum()

template<class T >

static T* pic::pic::Array< T >::cumsum	(	T *	vec,
		int	size,
		T *	ret
	)

inlinestatic

cumsum

Parameters

vec
size
ret

Returns

◆ distanceSq()

template<class T >

static T pic::pic::Array< T >::distanceSq	(	T *	data0,
		T *	data1,
		int	n
	)

inlinestatic

distanceSq

Parameters

data0
data1
n

Returns

◆ div()

template<class T >

static void pic::pic::Array< T >::div	(	T *	data,
		int	size,
		T	value
	)

inlinestatic

div

Parameters

data
size
value

◆ dot()

template<class T >

static T pic::pic::Array< T >::dot	(	T *	data0,
		T *	data1,
		int	n
	)

inlinestatic

dot

Parameters

data0
data1
n

Returns

◆ genRange()

template<class T >

static T* pic::pic::Array< T >::genRange	(	T	minVal,
		T	step,
		T	maxVal,
		T *	ret,
		int &	n
	)

inlinestatic

genRange

Parameters

minVal
step
maxVal
ret

◆ genValue()

template<class T >

static T* pic::pic::Array< T >::genValue	(	T	value,
		int	n,
		T *	ret
	)

inlinestatic

genValue

Parameters

value
n
ret

Returns

◆ getMax()

template<class T >

static T pic::pic::Array< T >::getMax	(	T *	data,
		int	size,
		int &	ind
	)

inlinestatic

getMax

Parameters

data
size
ind

Returns

◆ getMean()

template<class T >

static T pic::pic::Array< T >::getMean	(	T *	data,
		int	size
	)

inlinestatic

getMean

Parameters

data
size
ind

Returns

◆ getMin()

template<class T >

static T pic::pic::Array< T >::getMin	(	T *	data,
		int	size,
		int &	ind
	)

inlinestatic

getMin

Parameters

data
size
ind

Returns

◆ getVariance()

template<class T >

static T pic::pic::Array< T >::getVariance	(	T *	data,
		int	size
	)

inlinestatic

getVariance

Parameters

data
size

Returns

◆ interp()

template<class T >

static T pic::pic::Array< T >::interp	(	T *	x,
		T *	y,
		int	size,
		T	xval
	)

inlinestatic

interp linearly interpolates x and y data

Parameters

x
y
size	the size of x and y
xval

Returns

◆ linspace()

template<class T >

static T* pic::pic::Array< T >::linspace	(	T	minVal,
		T	maxVal,
		int	n,
		T *	ret
	)

inlinestatic

linspace

Parameters

minVal
maxVal
n
ret

Returns

◆ mul() [1/2]

template<class T >

static void pic::pic::Array< T >::mul	(	T *	data,
		int	size,
		T	scale
	)

inlinestatic

mul

Parameters

vec
size
scale

Returns

◆ mul() [2/2]

template<class T >

static void pic::pic::Array< T >::mul	(	T *	data,
		int	size,
		T *	ret
	)

inlinestatic

mul

Parameters

data
size
ret

Returns

◆ norm()

template<class T >

static T pic::pic::Array< T >::norm	(	float *	data,
		int	n
	)

inlinestatic

norm

Parameters

data
n

Returns

◆ norm_sq()

template<class T >

static T pic::pic::Array< T >::norm_sq	(	float *	data,
		int	n
	)

inlinestatic

norm_sq

Parameters

data
n

Returns

◆ normalize()

template<class T >

static float pic::pic::Array< T >::normalize	(	float *	data,
		int	n,
		float	norm_sq = `-1.0f`
	)

inlinestatic

normalize

Parameters

data
n
norm_sq

Returns

◆ release()

template<class T >

void pic::pic::Array< T >::release ( )

inline

release

◆ sum()

template<class T >

static T pic::pic::Array< T >::sum	(	T *	data,
		int	size
	)

inlinestatic

sum

Parameters

data
size

Returns

◆ zeros()

template<class T >

static T* pic::pic::Array< T >::zeros ( int n )

inlinestatic

zeros

Parameters

n

Returns

Member Data Documentation

◆ bShallow

template<class T >

bool pic::pic::Array< T >::bShallow

protected

◆ data

template<class T >

T* pic::pic::Array< T >::data

◆ nData

template<class T >

int pic::pic::Array< T >::nData

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

C:/Users/Francesco/Documents/GitHub/piccante/include/colors/saturation.hpp

Public Member Functions

Static Public Member Functions

Public Attributes

Protected Attributes

Detailed Description

template<class T> class pic::pic::Array< T >

Constructor & Destructor Documentation

◆ Array() [1/3]

◆ Array() [2/3]

◆ Array() [3/3]

◆ ~Array()

Member Function Documentation

◆ add()

◆ allocate()

◆ apply()

◆ assign() [1/2]

◆ assign() [2/2]

◆ binSearchLeft()

◆ clone()

◆ cumsum()

◆ distanceSq()

◆ div()

◆ dot()

◆ genRange()

◆ genValue()

◆ getMax()

◆ getMean()

◆ getMin()

◆ getVariance()

◆ interp()

◆ linspace()

◆ mul() [1/2]

◆ mul() [2/2]

◆ norm()

◆ norm_sq()

◆ normalize()

◆ release()

◆ sum()

◆ zeros()

Member Data Documentation

◆ bShallow

◆ data

◆ nData

template<class T>
class pic::pic::Array< T >