lal::generate::rand_lab_rooted_trees Class Reference

Uniformly random generation of labelled rooted trees. More...

#include <rand_lab_rooted_trees.hpp>

Inheritance diagram for lal::generate::rand_lab_rooted_trees:

Public Member Functions
	rand_lab_rooted_trees () noexcept
	Empty constructor.
	rand_lab_rooted_trees (uint64_t n, uint64_t seed=0) noexcept
	Constructor with size of tree and seed for the random number generator. More...
	rand_lab_rooted_trees (const rand_lab_rooted_trees &Gen)=default
	Copy constructor. More...
	rand_lab_rooted_trees (rand_lab_rooted_trees &&Gen)=default
	Move constructor. More...
	~rand_lab_rooted_trees ()=default
	Default destructor.
rand_lab_rooted_trees &	operator= (const rand_lab_rooted_trees &g) noexcept=default
	Copy assignment operator.
rand_lab_rooted_trees &	operator= (rand_lab_rooted_trees &&g) noexcept=default
	Move assignment operator.
void	init (uint64_t n, uint64_t seed=0) noexcept
	Initializes the generator with the number of nodes and a seed. More...
void	clear () noexcept
	Clear the memory used by the generator.
graphs::rooted_tree	yield_tree () noexcept
	Yields a tree, advancing the generator if necessary. More...
void	init (uint64_t n) noexcept
	Initializes the tree generator.
graphs::rooted_tree	get_tree () noexcept
	Retrieve the generated tree. More...
void	activate_all_postprocessing_actions () noexcept
	Activates all postprocessing actions. More...
void	deactivate_all_postprocessing_actions () noexcept
	Deactivates all postprocessing actions. More...
void	set_normalise_tree (bool v) noexcept
	Should trees be normalised? More...
void	set_calculate_size_subtrees (bool v) noexcept
	Should the size of the subtrees be calculated? More...
void	set_calculate_tree_type (bool v) noexcept
	Should the tree be classified into types? More...

Protected Member Functions
graphs::rooted_tree	__get_tree () noexcept
	Returns a labelled rooted tree chosen uniformly at random. More...

Protected Attributes
_rand_lab_rooted_trees	m_Gen
	See _rand_lab_rooted_trees for details.
uint64_t	m_n
	Number of vertices.
bool	m_normalise_tree
	Normalise the generated tree.
bool	m_calculate_size_subtrees
	Calculate the size of the subtrees of the generated rooted tree.
bool	m_calculate_tree_type
	Calculate the type of tree of the generated tree.

Detailed Description

Uniformly random generation of labelled rooted trees.

This is a wrapper class of _rand_lab_rooted_trees. Users should refrain from using said class. However, users will find the implementation details (as for algorithms and citations) in the documentation of said class.

An example of usage of this class is

lal::generate::rand_lab_rooted_trees Gen(n);
for (int i = 0; i < 100; ++i) {
    const lal::graphs::rooted_tree T = Gen.get_tree();
    // ...
}

Equivalently,

lal::generate::rand_lab_rooted_trees Gen(n);
for (int i = 0; i < 100; ++i) {
    const lal::graphs::rooted_tree T = Gen.yield_tree();
    // ...
}

Constructor & Destructor Documentation

rand_lab_rooted_trees() [1/3]

lal::generate::rand_lab_rooted_trees::rand_lab_rooted_trees ( uint64_t  n, uint64_t  seed = 0  )

inlinenoexcept

Constructor with size of tree and seed for the random number generator.

In case the seed given is '0', a random seed will be generated.

Parameters

n	Number of nodes.
seed	The seed used for the random generator. If the seed is 0 then a random seed is generated and used.

rand_lab_rooted_trees() [2/3]

lal::generate::rand_lab_rooted_trees::rand_lab_rooted_trees ( const rand_lab_rooted_trees &  Gen )

default

Copy constructor.

Parameters

Gen	Random labelled rooted tree generator.

rand_lab_rooted_trees() [3/3]

lal::generate::rand_lab_rooted_trees::rand_lab_rooted_trees ( rand_lab_rooted_trees &&  Gen )

default

Move constructor.

Parameters

Gen	Random labelled rooted tree generator.

Member Function Documentation

__get_tree()

graphs::rooted_tree lal::generate::rand_lab_rooted_trees::__get_tree ( )

inlineprotectedvirtualnoexcept

Returns a labelled rooted tree chosen uniformly at random.

See _rand_lab_rooted_trees::get_tree for details.

Returns

A labelled rooted tree chosen uniformly at random.

Implements lal::generate::_tree_generator< graphs::rooted_tree >.

activate_all_postprocessing_actions()

void lal::generate::_tree_generator< graphs::rooted_tree , >::activate_all_postprocessing_actions ( )

inlinenoexceptinherited

Activates all postprocessing actions.

The full list of postprocessing actions can be found in the documentation of this class.

deactivate_all_postprocessing_actions()

void lal::generate::_tree_generator< graphs::rooted_tree , >::deactivate_all_postprocessing_actions ( )

inlinenoexceptinherited

Deactivates all postprocessing actions.

The full list of postprocessing actions can be found in the documentation of this class.

get_tree()

graphs::rooted_tree lal::generate::_tree_generator< graphs::rooted_tree , >::get_tree ( )

inlinenoexceptinherited

Retrieve the generated tree.

This function first calls __get_tree and then modifies the generated tree according to the values:

• set_normalise_tree
• set_calculate_size_subtrees
• set_calculate_tree_type

Returns

A free/rooted tree depending on the type of the class inheriting from this. The type of generation of tree differs from one type of class to another.

init()

void lal::generate::rand_lab_rooted_trees::init ( uint64_t  n, uint64_t  seed = 0  )

inlinenoexcept

Initializes the generator with the number of nodes and a seed.

Parameters

n	Number of nodes.
seed	The seed used for the random generator. If the seed is 0 then a random seed is generated and used.

set_calculate_size_subtrees()

void lal::generate::_tree_generator< graphs::rooted_tree , >::set_calculate_size_subtrees ( bool  v )

inlinenoexceptinherited

Should the size of the subtrees be calculated?

Parameters

v	Boolean value.

set_calculate_tree_type()

void lal::generate::_tree_generator< graphs::rooted_tree , >::set_calculate_tree_type ( bool  v )

inlinenoexceptinherited

Should the tree be classified into types?

See lal::graphs::tree_type for details on the classification.

Parameters

v	Boolean value.

set_normalise_tree()

void lal::generate::_tree_generator< graphs::rooted_tree , >::set_normalise_tree ( bool  v )

inlinenoexceptinherited

Should trees be normalised?

Parameters

v	Boolean value.

yield_tree()

graphs::rooted_tree lal::generate::rand_lab_rooted_trees::yield_tree ( )

inlinevirtualnoexcept

Yields a tree, advancing the generator if necessary.

In case the class that inherits from this one is exhaustive then this function also moves the generator forward with its appropriate method. If the class is random, then it just calls get_tree().

Returns

A free/rooted tree depending on the type of the class inheriting from this. The type of generation of tree differs from one type of class to another.

Postcondition

The generator advances to the next tree.

Implements lal::generate::_tree_generator< graphs::rooted_tree >.

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

• lal/generate/rand_lab_rooted_trees.hpp