/* =========================================================================== 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() ); idList::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__ */