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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_COMPRESSED_STORAGE_H
#define EIGEN_COMPRESSED_STORAGE_H
#include "./InternalHeaderCheck.h"
namespace Eigen {
namespace internal {
/** \internal
* Stores a sparse set of values as a list of values and a list of indices.
*
*/
template<typename Scalar_,typename StorageIndex_>
class CompressedStorage
{
public:
typedef Scalar_ Scalar;
typedef StorageIndex_ StorageIndex;
protected:
typedef typename NumTraits<Scalar>::Real RealScalar;
public:
CompressedStorage()
: m_values(0), m_indices(0), m_size(0), m_allocatedSize(0)
{}
explicit CompressedStorage(Index size)
: m_values(0), m_indices(0), m_size(0), m_allocatedSize(0)
{
resize(size);
}
CompressedStorage(const CompressedStorage& other)
: m_values(0), m_indices(0), m_size(0), m_allocatedSize(0)
{
*this = other;
}
CompressedStorage& operator=(const CompressedStorage& other)
{
resize(other.size());
if(other.size()>0)
{
internal::smart_copy(other.m_values, other.m_values + m_size, m_values);
internal::smart_copy(other.m_indices, other.m_indices + m_size, m_indices);
}
return *this;
}
void swap(CompressedStorage& other)
{
std::swap(m_values, other.m_values);
std::swap(m_indices, other.m_indices);
std::swap(m_size, other.m_size);
std::swap(m_allocatedSize, other.m_allocatedSize);
}
~CompressedStorage()
{
conditional_aligned_delete_auto<Scalar, true>(m_values, m_allocatedSize);
conditional_aligned_delete_auto<StorageIndex, true>(m_indices, m_allocatedSize);
}
void reserve(Index size)
{
Index newAllocatedSize = m_size + size;
if (newAllocatedSize > m_allocatedSize)
reallocate(newAllocatedSize);
}
void squeeze()
{
if (m_allocatedSize>m_size)
reallocate(m_size);
}
void resize(Index size, double reserveSizeFactor = 0)
{
if (m_allocatedSize<size)
{
Index realloc_size = (std::min<Index>)(NumTraits<StorageIndex>::highest(), size + Index(reserveSizeFactor*double(size)));
if(realloc_size<size)
internal::throw_std_bad_alloc();
reallocate(realloc_size);
}
m_size = size;
}
void append(const Scalar& v, Index i)
{
Index id = m_size;
resize(m_size+1, 1);
m_values[id] = v;
m_indices[id] = internal::convert_index<StorageIndex>(i);
}
inline Index size() const { return m_size; }
inline Index allocatedSize() const { return m_allocatedSize; }
inline void clear() { m_size = 0; }
const Scalar* valuePtr() const { return m_values; }
Scalar* valuePtr() { return m_values; }
const StorageIndex* indexPtr() const { return m_indices; }
StorageIndex* indexPtr() { return m_indices; }
inline Scalar& value(Index i) { eigen_internal_assert(m_values!=0); return m_values[i]; }
inline const Scalar& value(Index i) const { eigen_internal_assert(m_values!=0); return m_values[i]; }
inline StorageIndex& index(Index i) { eigen_internal_assert(m_indices!=0); return m_indices[i]; }
inline const StorageIndex& index(Index i) const { eigen_internal_assert(m_indices!=0); return m_indices[i]; }
/** \returns the largest \c k such that for all \c j in [0,k) index[\c j]\<\a key */
inline Index searchLowerIndex(Index key) const
{
return searchLowerIndex(0, m_size, key);
}
/** \returns the largest \c k in [start,end) such that for all \c j in [start,k) index[\c j]\<\a key */
inline Index searchLowerIndex(Index start, Index end, Index key) const
{
while(end>start)
{
Index mid = (end+start)>>1;
if (m_indices[mid]<key)
start = mid+1;
else
end = mid;
}
return start;
}
/** \returns the stored value at index \a key
* If the value does not exist, then the value \a defaultValue is returned without any insertion. */
inline Scalar at(Index key, const Scalar& defaultValue = Scalar(0)) const
{
if (m_size==0)
return defaultValue;
else if (key==m_indices[m_size-1])
return m_values[m_size-1];
// ^^ optimization: let's first check if it is the last coefficient
// (very common in high level algorithms)
const Index id = searchLowerIndex(0,m_size-1,key);
return ((id<m_size) && (m_indices[id]==key)) ? m_values[id] : defaultValue;
}
/** Like at(), but the search is performed in the range [start,end) */
inline Scalar atInRange(Index start, Index end, Index key, const Scalar &defaultValue = Scalar(0)) const
{
if (start>=end)
return defaultValue;
else if (end>start && key==m_indices[end-1])
return m_values[end-1];
// ^^ optimization: let's first check if it is the last coefficient
// (very common in high level algorithms)
const Index id = searchLowerIndex(start,end-1,key);
return ((id<end) && (m_indices[id]==key)) ? m_values[id] : defaultValue;
}
/** \returns a reference to the value at index \a key
* If the value does not exist, then the value \a defaultValue is inserted
* such that the keys are sorted. */
inline Scalar& atWithInsertion(Index key, const Scalar& defaultValue = Scalar(0))
{
Index id = searchLowerIndex(0,m_size,key);
if (id>=m_size || m_indices[id]!=key)
{
if (m_allocatedSize<m_size+1)
{
Index newAllocatedSize = 2 * (m_size + 1);
m_values = conditional_aligned_realloc_new_auto<Scalar, true>(m_values, newAllocatedSize, m_allocatedSize);
m_indices =
conditional_aligned_realloc_new_auto<StorageIndex, true>(m_indices, newAllocatedSize, m_allocatedSize);
m_allocatedSize = newAllocatedSize;
}
if(m_size>id)
{
internal::smart_memmove(m_values +id, m_values +m_size, m_values +id+1);
internal::smart_memmove(m_indices+id, m_indices+m_size, m_indices+id+1);
}
m_size++;
m_indices[id] = internal::convert_index<StorageIndex>(key);
m_values[id] = defaultValue;
}
return m_values[id];
}
void moveChunk(Index from, Index to, Index chunkSize)
{
eigen_internal_assert(to+chunkSize <= m_size);
if(to>from && from+chunkSize>to)
{
// move backward
internal::smart_memmove(m_values+from, m_values+from+chunkSize, m_values+to);
internal::smart_memmove(m_indices+from, m_indices+from+chunkSize, m_indices+to);
}
else
{
internal::smart_copy(m_values+from, m_values+from+chunkSize, m_values+to);
internal::smart_copy(m_indices+from, m_indices+from+chunkSize, m_indices+to);
}
}
protected:
inline void reallocate(Index size)
{
#ifdef EIGEN_SPARSE_COMPRESSED_STORAGE_REALLOCATE_PLUGIN
EIGEN_SPARSE_COMPRESSED_STORAGE_REALLOCATE_PLUGIN
#endif
eigen_internal_assert(size!=m_allocatedSize);
m_values = conditional_aligned_realloc_new_auto<Scalar, true>(m_values, size, m_allocatedSize);
m_indices = conditional_aligned_realloc_new_auto<StorageIndex, true>(m_indices, size, m_allocatedSize);
m_allocatedSize = size;
}
protected:
Scalar* m_values;
StorageIndex* m_indices;
Index m_size;
Index m_allocatedSize;
};
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_COMPRESSED_STORAGE_H