Bayesian Filtering Library  Generated from SVN r
Public Types | Public Member Functions | List of all members
array< T > Class Template Reference
Inheritance diagram for array< T >:
wrapper_traits< const array< T > > traits< const array< T >, object_serializable, track_never, 0, extended_type_info_impl< const array< T > >, mpl::true_ > basic_traits

Public Types

typedef T value_type
 
typedef mpl::int_< Level > level
 
typedef mpl::int_< Tracking > tracking
 
typedef mpl::int_< Version > version
 
typedef extended_type_info_impl< const array< T > > type_info_implementation
 
typedef mpl::true_ is_wrapper
 

Public Member Functions

 array (value_type *t, std::size_t s)
 
 array (const array &rhs)
 
arrayoperator= (const array &rhs)
 
template<class Archive >
void serialize_optimized (Archive &ar, const unsigned int, mpl::false_) const
 
template<class Archive >
void serialize_optimized (Archive &ar, const unsigned int version, mpl::true_)
 
template<class Archive >
void save (Archive &ar, const unsigned int version) const
 
template<class Archive >
void load (Archive &ar, const unsigned int version)
 
template<class Archive >
void serialize (Archive &ar, const unsigned int version)
 
value_type * address () const
 
std::size_t count () const
 
 BOOST_STATIC_ASSERT (Version==0||Level >=object_class_info)
 
 BOOST_STATIC_ASSERT (Tracking==track_never||Level >=object_serializable)
 

Detailed Description

template<class T>
class BFL::boost::serialization::array< T >

Definition at line 40 of file asirfilter.h.


The documentation for this class was generated from the following file: