/*
===========================================================================
Doom 3 GPL Source Code
Copyright (C) 1999-2011 id Software LLC, a ZeniMax Media company.
This file is part of the Doom 3 GPL Source Code ("Doom 3 Source Code").
Doom 3 Source Code is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Doom 3 Source Code is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with Doom 3 Source Code. If not, see .
In addition, the Doom 3 Source Code is also subject to certain additional terms. You should have received a copy of these additional terms immediately following the terms and conditions of the GNU General Public License which accompanied the Doom 3 Source Code. If not, please request a copy in writing from id Software at the address below.
If you have questions concerning this license or the applicable additional terms, you may contact in writing id Software LLC, c/o ZeniMax Media Inc., Suite 120, Rockville, Maryland 20850 USA.
===========================================================================
*/
#ifndef __VECTORSET_H__
#define __VECTORSET_H__
/*
===============================================================================
Vector Set
Creates a set of vectors without duplicates.
===============================================================================
*/
template< class type, int dimension >
class idVectorSet : public idList {
public:
idVectorSet( void );
idVectorSet( const type &mins, const type &maxs, const int boxHashSize, const int initialSize );
// returns total size of allocated memory
size_t Allocated( void ) const { return idList::Allocated() + hash.Allocated(); }
// returns total size of allocated memory including size of type
size_t Size( void ) const { return sizeof( *this ) + Allocated(); }
void Init( const type &mins, const type &maxs, const int boxHashSize, const int initialSize );
void ResizeIndex( const int newSize );
void Clear( void );
int FindVector( const type &v, const float epsilon );
private:
idHashIndex hash;
type mins;
type maxs;
int boxHashSize;
float boxInvSize[dimension];
float boxHalfSize[dimension];
};
template< class type, int dimension >
ID_INLINE idVectorSet::idVectorSet( void ) {
hash.Clear( idMath::IPow( boxHashSize, dimension ), 128 );
boxHashSize = 16;
memset( boxInvSize, 0, dimension * sizeof( boxInvSize[0] ) );
memset( boxHalfSize, 0, dimension * sizeof( boxHalfSize[0] ) );
}
template< class type, int dimension >
ID_INLINE idVectorSet::idVectorSet( const type &mins, const type &maxs, const int boxHashSize, const int initialSize ) {
Init( mins, maxs, boxHashSize, initialSize );
}
template< class type, int dimension >
ID_INLINE void idVectorSet::Init( const type &mins, const type &maxs, const int boxHashSize, const int initialSize ) {
int i;
float boxSize;
idList::AssureSize( initialSize );
idList::SetNum( 0, false );
hash.Clear( idMath::IPow( boxHashSize, dimension ), initialSize );
this->mins = mins;
this->maxs = maxs;
this->boxHashSize = boxHashSize;
for ( i = 0; i < dimension; i++ ) {
boxSize = ( maxs[i] - mins[i] ) / (float) boxHashSize;
boxInvSize[i] = 1.0f / boxSize;
boxHalfSize[i] = boxSize * 0.5f;
}
}
template< class type, int dimension >
ID_INLINE void idVectorSet::ResizeIndex( const int newSize ) {
idList::Resize( newSize );
hash.ResizeIndex( newSize );
}
template< class type, int dimension >
ID_INLINE void idVectorSet::Clear( void ) {
idList::Clear();
hash.Clear();
}
template< class type, int dimension >
ID_INLINE int idVectorSet::FindVector( const type &v, const float epsilon ) {
int i, j, k, hashKey, partialHashKey[dimension];
for ( i = 0; i < dimension; i++ ) {
assert( epsilon <= boxHalfSize[i] );
partialHashKey[i] = (int) ( ( v[i] - mins[i] - boxHalfSize[i] ) * boxInvSize[i] );
}
for ( i = 0; i < ( 1 << dimension ); i++ ) {
hashKey = 0;
for ( j = 0; j < dimension; j++ ) {
hashKey *= boxHashSize;
hashKey += partialHashKey[j] + ( ( i >> j ) & 1 );
}
for ( j = hash.First( hashKey ); j >= 0; j = hash.Next( j ) ) {
const type &lv = (*this)[j];
for ( k = 0; k < dimension; k++ ) {
if ( idMath::Fabs( lv[k] - v[k] ) > epsilon ) {
break;
}
}
if ( k >= dimension ) {
return j;
}
}
}
hashKey = 0;
for ( i = 0; i < dimension; i++ ) {
hashKey *= boxHashSize;
hashKey += (int) ( ( v[i] - mins[i] ) * boxInvSize[i] );
}
hash.Add( hashKey, idList::Num() );
this->Append( v );
return idList::Num()-1;
}
/*
===============================================================================
Vector Subset
Creates a subset without duplicates from an existing list with vectors.
===============================================================================
*/
template< class type, int dimension >
class idVectorSubset {
public:
idVectorSubset( void );
idVectorSubset( const type &mins, const type &maxs, const int boxHashSize, const int initialSize );
// returns total size of allocated memory
size_t Allocated( void ) const { return idList::Allocated() + hash.Allocated(); }
// returns total size of allocated memory including size of type
size_t Size( void ) const { return sizeof( *this ) + Allocated(); }
void Init( const type &mins, const type &maxs, const int boxHashSize, const int initialSize );
void Clear( void );
// returns either vectorNum or an index to a previously found vector
int FindVector( const type *vectorList, const int vectorNum, const float epsilon );
private:
idHashIndex hash;
type mins;
type maxs;
int boxHashSize;
float boxInvSize[dimension];
float boxHalfSize[dimension];
};
template< class type, int dimension >
ID_INLINE idVectorSubset::idVectorSubset( void ) {
hash.Clear( idMath::IPow( boxHashSize, dimension ), 128 );
boxHashSize = 16;
memset( boxInvSize, 0, dimension * sizeof( boxInvSize[0] ) );
memset( boxHalfSize, 0, dimension * sizeof( boxHalfSize[0] ) );
}
template< class type, int dimension >
ID_INLINE idVectorSubset::idVectorSubset( const type &mins, const type &maxs, const int boxHashSize, const int initialSize ) {
Init( mins, maxs, boxHashSize, initialSize );
}
template< class type, int dimension >
ID_INLINE void idVectorSubset::Init( const type &mins, const type &maxs, const int boxHashSize, const int initialSize ) {
int i;
float boxSize;
hash.Clear( idMath::IPow( boxHashSize, dimension ), initialSize );
this->mins = mins;
this->maxs = maxs;
this->boxHashSize = boxHashSize;
for ( i = 0; i < dimension; i++ ) {
boxSize = ( maxs[i] - mins[i] ) / (float) boxHashSize;
boxInvSize[i] = 1.0f / boxSize;
boxHalfSize[i] = boxSize * 0.5f;
}
}
template< class type, int dimension >
ID_INLINE void idVectorSubset::Clear( void ) {
idList::Clear();
hash.Clear();
}
template< class type, int dimension >
ID_INLINE int idVectorSubset::FindVector( const type *vectorList, const int vectorNum, const float epsilon ) {
int i, j, k, hashKey, partialHashKey[dimension];
const type &v = vectorList[vectorNum];
for ( i = 0; i < dimension; i++ ) {
assert( epsilon <= boxHalfSize[i] );
partialHashKey[i] = (int) ( ( v[i] - mins[i] - boxHalfSize[i] ) * boxInvSize[i] );
}
for ( i = 0; i < ( 1 << dimension ); i++ ) {
hashKey = 0;
for ( j = 0; j < dimension; j++ ) {
hashKey *= boxHashSize;
hashKey += partialHashKey[j] + ( ( i >> j ) & 1 );
}
for ( j = hash.First( hashKey ); j >= 0; j = hash.Next( j ) ) {
const type &lv = vectorList[j];
for ( k = 0; k < dimension; k++ ) {
if ( idMath::Fabs( lv[k] - v[k] ) > epsilon ) {
break;
}
}
if ( k >= dimension ) {
return j;
}
}
}
hashKey = 0;
for ( i = 0; i < dimension; i++ ) {
hashKey *= boxHashSize;
hashKey += (int) ( ( v[i] - mins[i] ) * boxInvSize[i] );
}
hash.Add( hashKey, vectorNum );
return vectorNum;
}
#endif /* !__VECTORSET_H__ */