/usr/include/opengm/functions/sparsemarray.hxx is in libopengm-dev 2.3.6+20160905-1build2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 | #pragma once
#ifndef OPENGM_SPARSE_FUNCTION
#define OPENGM_SPARSE_FUNCTION
#include "opengm/datastructures/sparsemarray/sparsemarray.hxx"
#include "opengm/functions/function_registration.hxx"
#include "opengm/functions/function_properties_base.hxx"
namespace opengm {
/// \cond HIDDEN_SYMBOLS
/// FunctionRegistration
template<class T,class I,class L,class C>
struct FunctionRegistration<opengm::SparseFunction<T,I,L,C> > {
enum ID { Id = opengm::FUNCTION_TYPE_ID_OFFSET + 1 };
};
/// FunctionSerialization
///
/// \ingroup functions
template<class T,class I,class L,class C>
class FunctionSerialization< opengm::SparseFunction<T,I,L,C> > {
public:
typedef typename opengm::SparseFunction<T,I,L,C>::ValueType ValueType;
static size_t indexSequenceSize(const opengm::SparseFunction<T,I,L,C>&);
static size_t valueSequenceSize(const opengm::SparseFunction<T,I,L,C>&);
template<class INDEX_OUTPUT_ITERATOR,class VALUE_OUTPUT_ITERATOR >
static void serialize(const opengm::SparseFunction<T,I,L,C>&, INDEX_OUTPUT_ITERATOR,VALUE_OUTPUT_ITERATOR );
template<class INDEX_INPUT_ITERATOR ,class VALUE_INPUT_ITERATOR>
static void deserialize( INDEX_INPUT_ITERATOR,VALUE_INPUT_ITERATOR, opengm::SparseFunction<T,I,L,C>&);
};
/// \endcond
template<class T,class I,class L,class C>
inline size_t
FunctionSerialization<opengm::SparseFunction<T,I,L,C> >::indexSequenceSize
(
const opengm::SparseFunction<T,I,L,C>& src
) {
return 1 + src.dimension()+1+src.container().size();
}
template<class T,class I,class L,class C>
inline size_t
FunctionSerialization<opengm::SparseFunction<T,I,L,C> >::valueSequenceSize
(
const opengm::SparseFunction<T,I,L,C>& src
) {
return src.container().size()+1;
}
template<class T,class I,class L,class C>
template<class INDEX_OUTPUT_ITERATOR,class VALUE_OUTPUT_ITERATOR >
void
FunctionSerialization<opengm::SparseFunction<T,I,L,C> >::serialize
(
const opengm::SparseFunction<T,I,L,C>& src,
INDEX_OUTPUT_ITERATOR indexOutIterator,
VALUE_OUTPUT_ITERATOR valueOutIterator
) {
*indexOutIterator=src.dimension();
++indexOutIterator;
for(size_t i=0;i<src.dimension();++i) {
*indexOutIterator=src.shape(i);
++indexOutIterator;
}
//save the default value
*valueOutIterator=src.defaultValue();
++valueOutIterator;
//save how many not default values are in the SparseFunction
*indexOutIterator=src.container().size();
++indexOutIterator;
typedef typename opengm::SparseFunction<T,I,L,C>::ContainerType::const_iterator IterType;
IterType srcIter=src.container().begin();
for(size_t i=0;i<src.container().size();++i) {
*indexOutIterator=srcIter->first;
*valueOutIterator=srcIter->second;
++valueOutIterator;
++indexOutIterator;
++srcIter;
}
}
template<class T,class I,class L,class C>
template<class INDEX_INPUT_ITERATOR,class VALUE_INPUT_ITERATOR >
void
FunctionSerialization<opengm::SparseFunction<T,I,L,C> >::deserialize
(
INDEX_INPUT_ITERATOR indexOutIterator,
VALUE_INPUT_ITERATOR valueOutIterator,
opengm::SparseFunction<T,I,L,C>& dst
) {
const size_t dim=*indexOutIterator;
std::vector<size_t> shape(dim);
++indexOutIterator;
for(size_t i=0;i<dim;++i) {
shape[i]=*indexOutIterator;
++indexOutIterator;
}
dst = opengm::SparseFunction<T,I,L,C>(shape.begin(),shape.end(),*valueOutIterator);
++valueOutIterator;
const size_t nNonDefault=*indexOutIterator;
++indexOutIterator;
typedef typename opengm::SparseFunction<T,I,L,C>::KeyValPairType KeyValPairType;
for(size_t i=0;i<nNonDefault;++i) {
dst.container().insert(KeyValPairType(*indexOutIterator,*valueOutIterator));
++valueOutIterator;
++indexOutIterator;
}
}
} // namepsace opengm
#endif // OPENGM_SPARSE_FUNCTION
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