CDPL.Descr.EuclideanDistance Class Reference

Functor class for calculating the Euclidean Distance [CITB] between bitsets and vectors. More...

Inheritance diagram for CDPL.Descr.EuclideanDistance:

Public Member Functions
None	__init__ ()
	Initializes the EuclideanDistance instance.
None	__init__ (EuclideanDistance func)
	Initializes a copy of the EuclideanDistance instance func. More...
int	getObjectID ()
	Returns the numeric identifier (ID) of the wrapped C++ class instance. More...
EuclideanDistance	assign (EuclideanDistance func)
	Replaces the current state of self with a copy of the state of the EuclideanDistance instance func. More...
float	__call__ (Util.BitSet bs1, Util.BitSet bs2)
	Calculates the Euclidean Distance [CITB] between the bitsets bs1 and bs2. More...
float	__call__ (Math.FVector v1, Math.FVector v2)
	Calculates the Euclidean Distance [CITB] between the vectors v1 and v2. More...
float	__call__ (Math.DVector v1, Math.DVector v2)
	Calculates the Euclidean Distance [CITB] between the vectors v1 and v2. More...
float	__call__ (Math.LVector v1, Math.LVector v2)
	Calculates the Euclidean Distance [CITB] between the vectors v1 and v2. More...
float	__call__ (Math.ULVector v1, Math.ULVector v2)
	Calculates the Euclidean Distance [CITB] between the vectors v1 and v2. More...

Properties
	objectID = property(getObjectID)

Detailed Description

Functor class for calculating the Euclidean Distance [CITB] between bitsets and vectors.

Constructor & Destructor Documentation

__init__()

None CDPL.Descr.EuclideanDistance.__init__

(

EuclideanDistance

func

)

Initializes a copy of the EuclideanDistance instance func.

Parameters

func	The EuclideanDistance instance to copy.

Member Function Documentation

getObjectID()

int CDPL.Descr.EuclideanDistance.getObjectID

(

)

Returns the numeric identifier (ID) of the wrapped C++ class instance.

Different Python EuclideanDistance instances may reference the same underlying C++ class instance. The commonly used Python expression a is not b thus cannot tell reliably whether the two EuclideanDistance instances a and b reference different C++ objects. The numeric identifier returned by this method allows to correctly implement such an identity test via the simple expression a.getObjectID() != b.getObjectID().

Returns

The numeric ID of the internally referenced C++ class instance.

assign()

EuclideanDistance CDPL.Descr.EuclideanDistance.assign

(

EuclideanDistance

func

)

Replaces the current state of self with a copy of the state of the EuclideanDistance instance func.

Parameters

func	The EuclideanDistance instance to copy.

Returns

self

__call__() [1/5]

float CDPL.Descr.EuclideanDistance.__call__	(	Util.BitSet	bs1,
		Util.BitSet	bs2
	)

Calculates the Euclidean Distance [CITB] between the bitsets bs1 and bs2.

The Euclidean Distance $D_{ab}$ is calculated by:

[ D_{ab} = \sqrt{N_a + N_b} ]

where $N_a$ is the number of bits that are set in the first bitset but not in the second bitset and $N_b$ is the number of bits that are set in the second bitset but not in the first one.

If the specified bitsets bs1 and bs2 are of different size, missing bits at the end of the smaller bitset are assumed to be zero.

Parameters

bs1	The first bitset.
bs2	The second bitset.

Returns

The calculated distance.

__call__() [2/5]

float CDPL.Descr.EuclideanDistance.__call__	(	Math.FVector	v1,
		Math.FVector	v2
	)

Calculates the Euclidean Distance [CITB] between the vectors v1 and v2.

The Euclidean Distance $D_{12}$ is calculated by:

[ D_{12} = {\left | \vec{v}_1 - \vec{v}_2 \right |} ]

Parameters

v1	The first vector.
v2	The second vector.

Returns

The calculated distance measure.

__call__() [3/5]

float CDPL.Descr.EuclideanDistance.__call__	(	Math.DVector	v1,
		Math.DVector	v2
	)

Calculates the Euclidean Distance [CITB] between the vectors v1 and v2.

The Euclidean Distance $D_{12}$ is calculated by:

[ D_{12} = {\left | \vec{v}_1 - \vec{v}_2 \right |} ]

Parameters

v1	The first vector.
v2	The second vector.

Returns

The calculated distance measure.

__call__() [4/5]

float CDPL.Descr.EuclideanDistance.__call__	(	Math.LVector	v1,
		Math.LVector	v2
	)

Calculates the Euclidean Distance [CITB] between the vectors v1 and v2.

The Euclidean Distance $D_{12}$ is calculated by:

[ D_{12} = {\left | \vec{v}_1 - \vec{v}_2 \right |} ]

Parameters

v1	The first vector.
v2	The second vector.

Returns

The calculated distance measure.

__call__() [5/5]

float CDPL.Descr.EuclideanDistance.__call__	(	Math.ULVector	v1,
		Math.ULVector	v2
	)

Calculates the Euclidean Distance [CITB] between the vectors v1 and v2.

The Euclidean Distance $D_{12}$ is calculated by:

[ D_{12} = {\left | \vec{v}_1 - \vec{v}_2 \right |} ]

Parameters

v1	The first vector.
v2	The second vector.

Returns

The calculated distance measure.