New style for MOEO
git-svn-id: svn://scm.gforge.inria.fr/svnroot/paradiseo@788 331e1502-861f-0410-8da2-ba01fb791d7f
This commit is contained in:
parent
7161febf9c
commit
39709d3d12
103 changed files with 2607 additions and 2521 deletions
|
|
@ -1,4 +1,4 @@
|
|||
/*
|
||||
/*
|
||||
* <moeoCrowdingDiversityAssignment.h>
|
||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
|
|
@ -48,8 +48,8 @@
|
|||
*/
|
||||
template < class MOEOT >
|
||||
class moeoCrowdingDiversityAssignment : public moeoDiversityAssignment < MOEOT >
|
||||
{
|
||||
public:
|
||||
{
|
||||
public:
|
||||
|
||||
/** the objective vector type of the solutions */
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
|
@ -59,18 +59,18 @@ public:
|
|||
* Returns a big value (regarded as infinite)
|
||||
*/
|
||||
double inf() const
|
||||
{
|
||||
{
|
||||
return std::numeric_limits<double>::max();
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Returns a very small value that can be used to avoid extreme cases (where the min bound == the max bound)
|
||||
*/
|
||||
double tiny() const
|
||||
{
|
||||
{
|
||||
return 1e-6;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
|
|
@ -79,16 +79,16 @@ public:
|
|||
*/
|
||||
void operator()(eoPop < MOEOT > & _pop)
|
||||
{
|
||||
if (_pop.size() <= 2)
|
||||
if (_pop.size() <= 2)
|
||||
{
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
{
|
||||
_pop[i].diversity(inf());
|
||||
_pop[i].diversity(inf());
|
||||
}
|
||||
}
|
||||
else
|
||||
else
|
||||
{
|
||||
setDistances(_pop);
|
||||
setDistances(_pop);
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -102,11 +102,11 @@ public:
|
|||
*/
|
||||
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
|
||||
{
|
||||
std::cout << "WARNING : updateByDeleting not implemented in moeoCrowdingDiversityAssignment" << std::endl;
|
||||
std::cout << "WARNING : updateByDeleting not implemented in moeoCrowdingDiversityAssignment" << std::endl;
|
||||
}
|
||||
|
||||
|
||||
protected:
|
||||
protected:
|
||||
|
||||
/**
|
||||
* Sets the distance values
|
||||
|
|
@ -114,34 +114,34 @@ protected:
|
|||
*/
|
||||
virtual void setDistances (eoPop < MOEOT > & _pop)
|
||||
{
|
||||
double min, max, distance;
|
||||
unsigned int nObjectives = MOEOT::ObjectiveVector::nObjectives();
|
||||
// set diversity to 0
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
double min, max, distance;
|
||||
unsigned int nObjectives = MOEOT::ObjectiveVector::nObjectives();
|
||||
// set diversity to 0
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
{
|
||||
_pop[i].diversity(0);
|
||||
_pop[i].diversity(0);
|
||||
}
|
||||
// for each objective
|
||||
for (unsigned int obj=0; obj<nObjectives; obj++)
|
||||
// for each objective
|
||||
for (unsigned int obj=0; obj<nObjectives; obj++)
|
||||
{
|
||||
// comparator
|
||||
moeoOneObjectiveComparator < MOEOT > objComp(obj);
|
||||
// sort
|
||||
std::sort(_pop.begin(), _pop.end(), objComp);
|
||||
// min & max
|
||||
min = _pop[0].objectiveVector()[obj];
|
||||
max = _pop[_pop.size()-1].objectiveVector()[obj];
|
||||
// set the diversity value to infiny for min and max
|
||||
_pop[0].diversity(inf());
|
||||
_pop[_pop.size()-1].diversity(inf());
|
||||
for (unsigned int i=1; i<_pop.size()-1; i++)
|
||||
// comparator
|
||||
moeoOneObjectiveComparator < MOEOT > objComp(obj);
|
||||
// sort
|
||||
std::sort(_pop.begin(), _pop.end(), objComp);
|
||||
// min & max
|
||||
min = _pop[0].objectiveVector()[obj];
|
||||
max = _pop[_pop.size()-1].objectiveVector()[obj];
|
||||
// set the diversity value to infiny for min and max
|
||||
_pop[0].diversity(inf());
|
||||
_pop[_pop.size()-1].diversity(inf());
|
||||
for (unsigned int i=1; i<_pop.size()-1; i++)
|
||||
{
|
||||
distance = (_pop[i+1].objectiveVector()[obj] - _pop[i-1].objectiveVector()[obj]) / (max-min);
|
||||
_pop[i].diversity(_pop[i].diversity() + distance);
|
||||
distance = (_pop[i+1].objectiveVector()[obj] - _pop[i-1].objectiveVector()[obj]) / (max-min);
|
||||
_pop[i].diversity(_pop[i].diversity() + distance);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
};
|
||||
};
|
||||
|
||||
#endif /*MOEOCROWDINGDIVERSITYASSIGNMENT_H_*/
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
/*
|
||||
/*
|
||||
* <moeoDiversityAssignment.h>
|
||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
|
|
@ -46,8 +46,8 @@
|
|||
*/
|
||||
template < class MOEOT >
|
||||
class moeoDiversityAssignment : public eoUF < eoPop < MOEOT > &, void >
|
||||
{
|
||||
public:
|
||||
{
|
||||
public:
|
||||
|
||||
/** The type for objective vector */
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
|
@ -68,9 +68,9 @@ public:
|
|||
*/
|
||||
void updateByDeleting(eoPop < MOEOT > & _pop, MOEOT & _moeo)
|
||||
{
|
||||
updateByDeleting(_pop, _moeo.objectiveVector());
|
||||
updateByDeleting(_pop, _moeo.objectiveVector());
|
||||
}
|
||||
|
||||
};
|
||||
};
|
||||
|
||||
#endif /*MOEODIVERSITYASSIGNMENT_H_*/
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
/*
|
||||
/*
|
||||
* <moeoDummyDiversityAssignment.h>
|
||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
|
|
@ -45,8 +45,8 @@
|
|||
*/
|
||||
template < class MOEOT >
|
||||
class moeoDummyDiversityAssignment : public moeoDiversityAssignment < MOEOT >
|
||||
{
|
||||
public:
|
||||
{
|
||||
public:
|
||||
|
||||
/** The type for objective vector */
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
|
@ -58,12 +58,12 @@ public:
|
|||
*/
|
||||
void operator () (eoPop < MOEOT > & _pop)
|
||||
{
|
||||
for (unsigned int idx = 0; idx<_pop.size (); idx++)
|
||||
for (unsigned int idx = 0; idx<_pop.size (); idx++)
|
||||
{
|
||||
if (_pop[idx].invalidDiversity())
|
||||
if (_pop[idx].invalidDiversity())
|
||||
{
|
||||
// set the diversity to 0
|
||||
_pop[idx].diversity(0.0);
|
||||
// set the diversity to 0
|
||||
_pop[idx].diversity(0.0);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -76,9 +76,9 @@ public:
|
|||
*/
|
||||
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
|
||||
{
|
||||
// nothing to do... ;-)
|
||||
// nothing to do... ;-)
|
||||
}
|
||||
|
||||
};
|
||||
};
|
||||
|
||||
#endif /*MOEODUMMYDIVERSITYASSIGNMENT_H_*/
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
/*
|
||||
/*
|
||||
* <moeoFrontByFrontCrowdingDiversityAssignment.h>
|
||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
|
|
@ -48,8 +48,8 @@
|
|||
*/
|
||||
template < class MOEOT >
|
||||
class moeoFrontByFrontCrowdingDiversityAssignment : public moeoCrowdingDiversityAssignment < MOEOT >
|
||||
{
|
||||
public:
|
||||
{
|
||||
public:
|
||||
|
||||
/** the objective vector type of the solutions */
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
|
@ -64,11 +64,11 @@ public:
|
|||
*/
|
||||
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
|
||||
{
|
||||
std::cout << "WARNING : updateByDeleting not implemented in moeoFrontByFrontCrowdingDistanceDiversityAssignment" << std::endl;
|
||||
std::cout << "WARNING : updateByDeleting not implemented in moeoFrontByFrontCrowdingDistanceDiversityAssignment" << std::endl;
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
private:
|
||||
|
||||
using moeoCrowdingDiversityAssignment < MOEOT >::inf;
|
||||
using moeoCrowdingDiversityAssignment < MOEOT >::tiny;
|
||||
|
|
@ -79,61 +79,61 @@ private:
|
|||
*/
|
||||
void setDistances (eoPop < MOEOT > & _pop)
|
||||
{
|
||||
unsigned int a,b;
|
||||
double min, max, distance;
|
||||
unsigned int nObjectives = MOEOT::ObjectiveVector::nObjectives();
|
||||
// set diversity to 0 for every individual
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
unsigned int a,b;
|
||||
double min, max, distance;
|
||||
unsigned int nObjectives = MOEOT::ObjectiveVector::nObjectives();
|
||||
// set diversity to 0 for every individual
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
{
|
||||
_pop[i].diversity(0.0);
|
||||
_pop[i].diversity(0.0);
|
||||
}
|
||||
// sort the whole pop according to fitness values
|
||||
moeoFitnessThenDiversityComparator < MOEOT > fitnessComparator;
|
||||
std::sort(_pop.begin(), _pop.end(), fitnessComparator);
|
||||
// compute the crowding distance values for every individual "front" by "front" (front : from a to b)
|
||||
a = 0; // the front starts at a
|
||||
while (a < _pop.size())
|
||||
// sort the whole pop according to fitness values
|
||||
moeoFitnessThenDiversityComparator < MOEOT > fitnessComparator;
|
||||
std::sort(_pop.begin(), _pop.end(), fitnessComparator);
|
||||
// compute the crowding distance values for every individual "front" by "front" (front : from a to b)
|
||||
a = 0; // the front starts at a
|
||||
while (a < _pop.size())
|
||||
{
|
||||
b = lastIndex(_pop,a); // the front ends at b
|
||||
// if there is less than 2 individuals in the front...
|
||||
if ((b-a) < 2)
|
||||
b = lastIndex(_pop,a); // the front ends at b
|
||||
// if there is less than 2 individuals in the front...
|
||||
if ((b-a) < 2)
|
||||
{
|
||||
for (unsigned int i=a; i<=b; i++)
|
||||
for (unsigned int i=a; i<=b; i++)
|
||||
{
|
||||
_pop[i].diversity(inf());
|
||||
_pop[i].diversity(inf());
|
||||
}
|
||||
}
|
||||
// else...
|
||||
else
|
||||
// else...
|
||||
else
|
||||
{
|
||||
// for each objective
|
||||
for (unsigned int obj=0; obj<nObjectives; obj++)
|
||||
// for each objective
|
||||
for (unsigned int obj=0; obj<nObjectives; obj++)
|
||||
{
|
||||
// sort in the descending order using the values of the objective 'obj'
|
||||
moeoOneObjectiveComparator < MOEOT > objComp(obj);
|
||||
std::sort(_pop.begin()+a, _pop.begin()+b+1, objComp);
|
||||
// min & max
|
||||
min = _pop[b].objectiveVector()[obj];
|
||||
max = _pop[a].objectiveVector()[obj];
|
||||
// avoid extreme case
|
||||
if (min == max)
|
||||
// sort in the descending order using the values of the objective 'obj'
|
||||
moeoOneObjectiveComparator < MOEOT > objComp(obj);
|
||||
std::sort(_pop.begin()+a, _pop.begin()+b+1, objComp);
|
||||
// min & max
|
||||
min = _pop[b].objectiveVector()[obj];
|
||||
max = _pop[a].objectiveVector()[obj];
|
||||
// avoid extreme case
|
||||
if (min == max)
|
||||
{
|
||||
min -= tiny();
|
||||
max += tiny();
|
||||
min -= tiny();
|
||||
max += tiny();
|
||||
}
|
||||
// set the diversity value to infiny for min and max
|
||||
_pop[a].diversity(inf());
|
||||
_pop[b].diversity(inf());
|
||||
// set the diversity values for the other individuals
|
||||
for (unsigned int i=a+1; i<b; i++)
|
||||
// set the diversity value to infiny for min and max
|
||||
_pop[a].diversity(inf());
|
||||
_pop[b].diversity(inf());
|
||||
// set the diversity values for the other individuals
|
||||
for (unsigned int i=a+1; i<b; i++)
|
||||
{
|
||||
distance = (_pop[i-1].objectiveVector()[obj] - _pop[i+1].objectiveVector()[obj]) / (max-min);
|
||||
_pop[i].diversity(_pop[i].diversity() + distance);
|
||||
distance = (_pop[i-1].objectiveVector()[obj] - _pop[i+1].objectiveVector()[obj]) / (max-min);
|
||||
_pop[i].diversity(_pop[i].diversity() + distance);
|
||||
}
|
||||
}
|
||||
}
|
||||
// go to the next front
|
||||
a = b+1;
|
||||
// go to the next front
|
||||
a = b+1;
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -145,14 +145,14 @@ private:
|
|||
*/
|
||||
unsigned int lastIndex (eoPop < MOEOT > & _pop, unsigned int _start)
|
||||
{
|
||||
unsigned int i=_start;
|
||||
while ( (i<_pop.size()-1) && (_pop[i].fitness()==_pop[i+1].fitness()) )
|
||||
unsigned int i=_start;
|
||||
while ( (i<_pop.size()-1) && (_pop[i].fitness()==_pop[i+1].fitness()) )
|
||||
{
|
||||
i++;
|
||||
i++;
|
||||
}
|
||||
return i;
|
||||
return i;
|
||||
}
|
||||
|
||||
};
|
||||
};
|
||||
|
||||
#endif /*MOEOFRONTBYFRONTCROWDINGDIVERSITYASSIGNMENT_H_*/
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
/*
|
||||
/*
|
||||
* <moeoFrontByFrontSharingDiversityAssignment.h>
|
||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
|
|
@ -45,8 +45,8 @@
|
|||
*/
|
||||
template < class MOEOT >
|
||||
class moeoFrontByFrontSharingDiversityAssignment : public moeoSharingDiversityAssignment < MOEOT >
|
||||
{
|
||||
public:
|
||||
{
|
||||
public:
|
||||
|
||||
/** the objective vector type of the solutions */
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
|
@ -80,11 +80,11 @@ public:
|
|||
*/
|
||||
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
|
||||
{
|
||||
std::cout << "WARNING : updateByDeleting not implemented in moeoSharingDiversityAssignment" << std::endl;
|
||||
std::cout << "WARNING : updateByDeleting not implemented in moeoSharingDiversityAssignment" << std::endl;
|
||||
}
|
||||
|
||||
|
||||
private:
|
||||
private:
|
||||
|
||||
using moeoSharingDiversityAssignment < MOEOT >::distance;
|
||||
using moeoSharingDiversityAssignment < MOEOT >::nicheSize;
|
||||
|
|
@ -98,34 +98,34 @@ private:
|
|||
*/
|
||||
void setSimilarities(eoPop < MOEOT > & _pop)
|
||||
{
|
||||
// compute distances between every individuals
|
||||
moeoDistanceMatrix < MOEOT , double > dMatrix (_pop.size(), distance);
|
||||
dMatrix(_pop);
|
||||
// sets the distance to bigger than the niche size for every couple of solutions that do not belong to the same front
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
// compute distances between every individuals
|
||||
moeoDistanceMatrix < MOEOT , double > dMatrix (_pop.size(), distance);
|
||||
dMatrix(_pop);
|
||||
// sets the distance to bigger than the niche size for every couple of solutions that do not belong to the same front
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
{
|
||||
for (unsigned int j=0; j<i; j++)
|
||||
for (unsigned int j=0; j<i; j++)
|
||||
{
|
||||
if (_pop[i].fitness() != _pop[j].fitness())
|
||||
if (_pop[i].fitness() != _pop[j].fitness())
|
||||
{
|
||||
dMatrix[i][j] = nicheSize;
|
||||
dMatrix[j][i] = nicheSize;
|
||||
dMatrix[i][j] = nicheSize;
|
||||
dMatrix[j][i] = nicheSize;
|
||||
}
|
||||
}
|
||||
}
|
||||
// compute similarities
|
||||
double sum;
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
// compute similarities
|
||||
double sum;
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
{
|
||||
sum = 0.0;
|
||||
for (unsigned int j=0; j<_pop.size(); j++)
|
||||
sum = 0.0;
|
||||
for (unsigned int j=0; j<_pop.size(); j++)
|
||||
{
|
||||
sum += sh(dMatrix[i][j]);
|
||||
sum += sh(dMatrix[i][j]);
|
||||
}
|
||||
_pop[i].diversity(sum);
|
||||
_pop[i].diversity(sum);
|
||||
}
|
||||
}
|
||||
|
||||
};
|
||||
};
|
||||
|
||||
#endif /*MOEOFRONTBYFRONTSHARINGDIVERSITYASSIGNMENT_H_*/
|
||||
|
|
|
|||
|
|
@ -1,4 +1,4 @@
|
|||
/*
|
||||
/*
|
||||
* <moeoSharingDiversityAssignment.h>
|
||||
* Copyright (C) DOLPHIN Project-Team, INRIA Futurs, 2006-2007
|
||||
* (C) OPAC Team, LIFL, 2002-2007
|
||||
|
|
@ -51,8 +51,8 @@
|
|||
*/
|
||||
template < class MOEOT >
|
||||
class moeoSharingDiversityAssignment : public moeoDiversityAssignment < MOEOT >
|
||||
{
|
||||
public:
|
||||
{
|
||||
public:
|
||||
|
||||
/** the objective vector type of the solutions */
|
||||
typedef typename MOEOT::ObjectiveVector ObjectiveVector;
|
||||
|
|
@ -83,14 +83,14 @@ public:
|
|||
*/
|
||||
void operator()(eoPop < MOEOT > & _pop)
|
||||
{
|
||||
// 1 - set simuilarities
|
||||
setSimilarities(_pop);
|
||||
// 2 - a higher diversity is better, so the values need to be inverted
|
||||
moeoDiversityThenFitnessComparator < MOEOT > divComparator;
|
||||
double max = std::max_element(_pop.begin(), _pop.end(), divComparator)->diversity();
|
||||
for (unsigned int i=0 ; i<_pop.size() ; i++)
|
||||
// 1 - set simuilarities
|
||||
setSimilarities(_pop);
|
||||
// 2 - a higher diversity is better, so the values need to be inverted
|
||||
moeoDiversityThenFitnessComparator < MOEOT > divComparator;
|
||||
double max = std::max_element(_pop.begin(), _pop.end(), divComparator)->diversity();
|
||||
for (unsigned int i=0 ; i<_pop.size() ; i++)
|
||||
{
|
||||
_pop[i].diversity(max - _pop[i].diversity());
|
||||
_pop[i].diversity(max - _pop[i].diversity());
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -104,11 +104,11 @@ public:
|
|||
*/
|
||||
void updateByDeleting(eoPop < MOEOT > & _pop, ObjectiveVector & _objVec)
|
||||
{
|
||||
std::cout << "WARNING : updateByDeleting not implemented in moeoSharingDiversityAssignment" << std::endl;
|
||||
std::cout << "WARNING : updateByDeleting not implemented in moeoSharingDiversityAssignment" << std::endl;
|
||||
}
|
||||
|
||||
|
||||
protected:
|
||||
protected:
|
||||
|
||||
/** the distance used to compute the neighborhood of solutions */
|
||||
moeoDistance < MOEOT , double > & distance;
|
||||
|
|
@ -126,19 +126,19 @@ protected:
|
|||
*/
|
||||
virtual void setSimilarities(eoPop < MOEOT > & _pop)
|
||||
{
|
||||
// compute distances between every individuals
|
||||
moeoDistanceMatrix < MOEOT , double > dMatrix (_pop.size(), distance);
|
||||
dMatrix(_pop);
|
||||
// compute similarities
|
||||
double sum;
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
// compute distances between every individuals
|
||||
moeoDistanceMatrix < MOEOT , double > dMatrix (_pop.size(), distance);
|
||||
dMatrix(_pop);
|
||||
// compute similarities
|
||||
double sum;
|
||||
for (unsigned int i=0; i<_pop.size(); i++)
|
||||
{
|
||||
sum = 0.0;
|
||||
for (unsigned int j=0; j<_pop.size(); j++)
|
||||
sum = 0.0;
|
||||
for (unsigned int j=0; j<_pop.size(); j++)
|
||||
{
|
||||
sum += sh(dMatrix[i][j]);
|
||||
sum += sh(dMatrix[i][j]);
|
||||
}
|
||||
_pop[i].diversity(sum);
|
||||
_pop[i].diversity(sum);
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -149,19 +149,19 @@ protected:
|
|||
*/
|
||||
double sh(double _dist)
|
||||
{
|
||||
double result;
|
||||
if (_dist < nicheSize)
|
||||
double result;
|
||||
if (_dist < nicheSize)
|
||||
{
|
||||
result = 1.0 - pow(_dist / nicheSize, alpha);
|
||||
result = 1.0 - pow(_dist / nicheSize, alpha);
|
||||
}
|
||||
else
|
||||
else
|
||||
{
|
||||
result = 0.0;
|
||||
result = 0.0;
|
||||
}
|
||||
return result;
|
||||
return result;
|
||||
}
|
||||
|
||||
};
|
||||
};
|
||||
|
||||
|
||||
#endif /*MOEOSHARINGDIVERSITYASSIGNMENT_H_*/
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue