ecency-mobile/ios/Pods/boost-for-react-native/boost/statechart/fifo_scheduler.hpp

204 lines
6.3 KiB
C++

#ifndef BOOST_STATECHART_FIFO_SCHEDULER_HPP_INCLUDED
#define BOOST_STATECHART_FIFO_SCHEDULER_HPP_INCLUDED
//////////////////////////////////////////////////////////////////////////////
// Copyright 2002-2006 Andreas Huber Doenni
// Distributed under the Boost Software License, Version 1.0. (See accompany-
// ing file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
//////////////////////////////////////////////////////////////////////////////
#include <boost/statechart/event_base.hpp>
#include <boost/statechart/fifo_worker.hpp>
#include <boost/statechart/processor_container.hpp>
#include <boost/intrusive_ptr.hpp>
#include <boost/noncopyable.hpp>
#include <boost/config.hpp> // BOOST_HAS_THREADS
namespace boost
{
namespace statechart
{
//////////////////////////////////////////////////////////////////////////////
template<
class FifoWorker = fifo_worker<>,
class Allocator = std::allocator< void > >
class fifo_scheduler : noncopyable
{
typedef processor_container<
fifo_scheduler, typename FifoWorker::work_item, Allocator > container;
public:
//////////////////////////////////////////////////////////////////////////
#ifdef BOOST_HAS_THREADS
fifo_scheduler( bool waitOnEmptyQueue = false ) :
worker_( waitOnEmptyQueue )
{
}
#endif
typedef typename container::processor_handle processor_handle;
typedef typename container::processor_context processor_context;
template< class Processor >
processor_handle create_processor()
{
processor_handle result;
work_item item =
container_.template create_processor< Processor >( result, *this );
worker_.queue_work_item( item );
return result;
}
template< class Processor, typename Arg1 >
processor_handle create_processor( Arg1 arg1 )
{
processor_handle result;
work_item item = container_.template create_processor< Processor >(
result, *this, arg1 );
worker_.queue_work_item( item );
return result;
}
template< class Processor, typename Arg1, typename Arg2 >
processor_handle create_processor( Arg1 arg1, Arg2 arg2 )
{
processor_handle result;
work_item item = container_.template create_processor< Processor >(
result, *this, arg1, arg2 );
worker_.queue_work_item( item );
return result;
}
template< class Processor, typename Arg1, typename Arg2, typename Arg3 >
processor_handle create_processor( Arg1 arg1, Arg2 arg2, Arg3 arg3 )
{
processor_handle result;
work_item item = container_.template create_processor< Processor >(
result, *this, arg1, arg2, arg3 );
worker_.queue_work_item( item );
return result;
}
template<
class Processor, typename Arg1, typename Arg2,
typename Arg3, typename Arg4 >
processor_handle create_processor(
Arg1 arg1, Arg2 arg2, Arg3 arg3, Arg4 arg4 )
{
processor_handle result;
work_item item = container_.template create_processor< Processor >(
result, *this, arg1, arg2, arg3, arg4 );
worker_.queue_work_item( item );
return result;
}
template<
class Processor, typename Arg1, typename Arg2,
typename Arg3, typename Arg4, typename Arg5 >
processor_handle create_processor(
Arg1 arg1, Arg2 arg2, Arg3 arg3, Arg4 arg4, Arg5 arg5 )
{
processor_handle result;
work_item item = container_.template create_processor< Processor >(
result, *this, arg1, arg2, arg3, arg4, arg5 );
worker_.queue_work_item( item );
return result;
}
template<
class Processor, typename Arg1, typename Arg2,
typename Arg3, typename Arg4, typename Arg5, typename Arg6 >
processor_handle create_processor(
Arg1 arg1, Arg2 arg2, Arg3 arg3, Arg4 arg4, Arg5 arg5, Arg6 arg6 )
{
processor_handle result;
work_item item = container_.template create_processor< Processor >(
result, *this, arg1, arg2, arg3, arg4, arg5, arg6 );
worker_.queue_work_item( item );
return result;
}
void destroy_processor( const processor_handle & processor )
{
work_item item = container_.destroy_processor( processor );
worker_.queue_work_item( item );
}
void initiate_processor( const processor_handle & processor )
{
work_item item = container_.initiate_processor( processor );
worker_.queue_work_item( item );
}
void terminate_processor( const processor_handle & processor )
{
work_item item = container_.terminate_processor( processor );
worker_.queue_work_item( item );
}
typedef intrusive_ptr< const event_base > event_ptr_type;
void queue_event(
const processor_handle & processor, const event_ptr_type & pEvent )
{
work_item item = container_.queue_event( processor, pEvent );
worker_.queue_work_item( item );
}
typedef typename FifoWorker::work_item work_item;
// We take a non-const reference so that we can move (i.e. swap) the item
// into the queue, what avoids copying the (possibly heap-allocated)
// implementation object inside work_item.
void queue_work_item( work_item & item )
{
worker_.queue_work_item( item );
}
// Convenience overload so that temporary objects can be passed directly
// instead of having to create a work_item object first. Under most
// circumstances, this will lead to one unnecessary copy of the
// function implementation object.
void queue_work_item( const work_item & item )
{
worker_.queue_work_item( item );
}
void terminate()
{
worker_.terminate();
}
// Is not mutex-protected! Must only be called from the thread that also
// calls operator().
bool terminated() const
{
return worker_.terminated();
}
unsigned long operator()( unsigned long maxEventCount = 0 )
{
return worker_( maxEventCount );
}
private:
//////////////////////////////////////////////////////////////////////////
container container_;
FifoWorker worker_;
};
} // namespace statechart
} // namespace boost
#endif