本文整理汇总了C++中typename_istreamlist::iterator类的典型用法代码示例。如果您正苦于以下问题:C++ iterator类的具体用法?C++ iterator怎么用?C++ iterator使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了iterator类的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于我们的系统推荐出更棒的C++代码示例。
示例1: while
template < typename IN_PORT_TYPE, typename OUT_PORT_TYPE > int randomizer_base::_forecastAndProcess( bool &eos, typename std::vector< gr_istream< IN_PORT_TYPE > > &istreams ,
typename std::vector< gr_ostream< OUT_PORT_TYPE > > &ostreams )
{
typedef typename std::vector< gr_istream< IN_PORT_TYPE > > _IStreamList;
typedef typename std::vector< gr_ostream< OUT_PORT_TYPE > > _OStreamList;
typename _OStreamList::iterator ostream;
typename _IStreamList::iterator istream = istreams.begin();
int nout = 0;
bool dataReady = false;
if ( !eos ) {
uint64_t max_items_avail = 0;
for ( int idx=0 ; istream != istreams.end() && serviceThread->threadRunning() ; idx++, istream++ ) {
LOG_TRACE( randomizer_base, "GET MAX ITEMS: STREAM:"<< idx << " NITEMS/SCALARS:" <<
istream->nitems() << "/" << istream->_data.size() );
max_items_avail = std::max( istream->nitems(), max_items_avail );
}
if ( max_items_avail == 0 ) {
LOG_TRACE( randomizer_base, "DATA CHECK - MAX ITEMS NOUTPUT/MAX_ITEMS:" << noutput_items << "/" << max_items_avail);
return -1;
}
//
// calc number of output elements based on input items available
//
noutput_items = 0;
if ( !gr_sptr->fixed_rate() ) {
noutput_items = round_down((int32_t) (max_items_avail * gr_sptr->relative_rate()), gr_sptr->output_multiple());
LOG_TRACE( randomizer_base, " VARIABLE FORECAST NOUTPUT == " << noutput_items );
} else {
istream = istreams.begin();
for ( int i=0; istream != istreams.end(); i++, istream++ ) {
int t_noutput_items = gr_sptr->fixed_rate_ninput_to_noutput( istream->nitems() );
if ( gr_sptr->output_multiple_set() ) {
t_noutput_items = round_up(t_noutput_items, gr_sptr->output_multiple());
}
if ( t_noutput_items > 0 ) {
if ( noutput_items == 0 ) {
noutput_items = t_noutput_items;
}
if ( t_noutput_items <= noutput_items ) {
noutput_items = t_noutput_items;
}
}
}
LOG_TRACE( randomizer_base, " FIXED FORECAST NOUTPUT/output_multiple == " <<
noutput_items << "/" << gr_sptr->output_multiple());
}
//
// ask the block how much input they need to produce noutput_items...
// if enough data is available to process then set the dataReady flag
//
int32_t outMultiple = gr_sptr->output_multiple();
while ( !dataReady && noutput_items >= outMultiple ) {
//
// ask the block how much input they need to produce noutput_items...
//
gr_sptr->forecast(noutput_items, _ninput_items_required);
LOG_TRACE( randomizer_base, "--> FORECAST IN/OUT " << _ninput_items_required[0] << "/" << noutput_items );
istream = istreams.begin();
uint32_t dr_cnt=0;
for ( int idx=0 ; noutput_items > 0 && istream != istreams.end(); idx++, istream++ ) {
// check if buffer has enough elements
_input_ready[idx] = false;
if ( istream->nitems() >= (uint64_t)_ninput_items_required[idx] ) {
_input_ready[idx] = true;
dr_cnt++;
}
LOG_TRACE( randomizer_base, "ISTREAM DATACHECK NELMS/NITEMS/REQ/READY:" << istream->nelems() <<
"/" << istream->nitems() << "/" << _ninput_items_required[idx] << "/" << _input_ready[idx]);
}
if ( dr_cnt < istreams.size() ) {
if ( outMultiple > 1 ) {
noutput_items -= outMultiple;
} else {
noutput_items /= 2;
}
} else {
dataReady = true;
}
LOG_TRACE( randomizer_base, " TRIM FORECAST NOUTPUT/READY " << noutput_items << "/" << dataReady );
}
// check if data is ready...
if ( !dataReady ) {
LOG_TRACE( randomizer_base, "DATA CHECK - NOT ENOUGH DATA AVAIL/REQ:" << _istreams[0].nitems() <<
"/" << _ninput_items_required[0] );
return -1;
}
// reset looping variables
int ritems = 0;
int nitems = 0;
// reset caching vectors
//.........这里部分代码省略.........
开发者ID:RedhawkSDR,项目名称:integration-gnuhawk,代码行数:101,代码来源:randomizer_base.cpp
示例2: while
template < typename IN_PORT_TYPE > int file_descriptor_sink_i_base::_forecastAndProcess( bool &eos, typename std::vector< gr_istream< IN_PORT_TYPE > > &istreams )
{
typedef typename std::vector< gr_istream< IN_PORT_TYPE > > _IStreamList;
typename _IStreamList::iterator istream = istreams.begin();
int nout = 0;
bool dataReady = false;
if ( !eos ) {
uint64_t max_items_avail = 0;
for ( int idx=0 ; istream != istreams.end() && serviceThread->threadRunning() ; idx++, istream++ ) {
LOG_TRACE( file_descriptor_sink_i_base, "GET MAX ITEMS: STREAM:" << idx << " NITEMS/SCALARS:"
<< istream->nitems() << "/" << istream->_data.size() );
max_items_avail = std::max( istream->nitems(), max_items_avail );
}
//
// calc number of output items to produce
//
noutput_items = (int) (max_items_avail * gr_sptr->relative_rate ());
noutput_items = round_down (noutput_items, gr_sptr->output_multiple ());
if ( noutput_items <= 0 ) {
LOG_TRACE( file_descriptor_sink_i_base, "DATA CHECK - MAX ITEMS NOUTPUT/MAX_ITEMS:" << noutput_items << "/" << max_items_avail);
return -1;
}
if ( gr_sptr->fixed_rate() ) {
istream = istreams.begin();
for ( int i=0; istream != istreams.end(); i++, istream++ ) {
int t_noutput_items = gr_sptr->fixed_rate_ninput_to_noutput( istream->nitems() );
if ( gr_sptr->output_multiple_set() ) {
t_noutput_items = round_up(t_noutput_items, gr_sptr->output_multiple());
}
if ( t_noutput_items > 0 ) {
if ( noutput_items == 0 ) {
noutput_items = t_noutput_items;
}
if ( t_noutput_items <= noutput_items ) {
noutput_items = t_noutput_items;
}
}
}
LOG_TRACE( file_descriptor_sink_i_base, " FIXED FORECAST NOUTPUT/output_multiple == "
<< noutput_items << "/" << gr_sptr->output_multiple());
}
//
// ask the block how much input they need to produce noutput_items...
// if enough data is available to process then set the dataReady flag
//
int32_t outMultiple = gr_sptr->output_multiple();
while ( !dataReady && noutput_items >= outMultiple ) {
//
// ask the block how much input they need to produce noutput_items...
//
gr_sptr->forecast(noutput_items, _ninput_items_required);
LOG_TRACE( file_descriptor_sink_i_base, "--> FORECAST IN/OUT " << _ninput_items_required[0] << "/" << noutput_items );
istream = istreams.begin();
uint32_t dr_cnt=0;
for ( int idx=0 ; noutput_items > 0 && istream != istreams.end(); idx++, istream++ ) {
// check if buffer has enough elements
_input_ready[idx] = false;
if ( istream->nitems() >= (uint64_t)_ninput_items_required[idx] ) {
_input_ready[idx] = true;
dr_cnt++;
}
LOG_TRACE( file_descriptor_sink_i_base, "ISTREAM DATACHECK NELMS/NITEMS/REQ/READY:" <<
istream->nelems() << "/" << istream->nitems() << "/" <<
_ninput_items_required[idx] << "/" << _input_ready[idx]);
}
if ( dr_cnt < istreams.size() ) {
if ( outMultiple > 1 ) {
noutput_items -= outMultiple;
} else {
noutput_items /= 2;
}
} else {
dataReady = true;
}
LOG_TRACE( file_descriptor_sink_i_base, " TRIM FORECAST NOUTPUT/READY " << noutput_items << "/" << dataReady );
}
// check if data is ready...
if ( !dataReady ) {
LOG_TRACE( file_descriptor_sink_i_base, "DATA CHECK - NOT ENOUGH DATA AVAIL/REQ:"
<< _istreams[0].nitems() << "/" << _ninput_items_required[0] );
return -1;
}
// reset looping variables
int ritems = 0;
int nitems = 0;
// reset caching vectors
_output_items.clear();
_input_items.clear();
_ninput_items.clear();
//.........这里部分代码省略.........
开发者ID:54AndyN,项目名称:integration-gnuhawk,代码行数:101,代码来源:file_descriptor_sink_i_base.cpp
示例3: lock
template < typename IN_PORT_TYPE, typename OUT_PORT_TYPE > int randomizer_base::_transformerServiceFunction( typename std::vector< gr_istream< IN_PORT_TYPE > > &istreams ,
typename std::vector< gr_ostream< OUT_PORT_TYPE > > &ostreams )
{
typedef typename std::vector< gr_istream< IN_PORT_TYPE > > _IStreamList;
typedef typename std::vector< gr_ostream< OUT_PORT_TYPE > > _OStreamList;
boost::mutex::scoped_lock lock(serviceThreadLock);
if ( validGRBlock() == false ) {
// create our processing block, and setup property notifiers
createBlock();
LOG_DEBUG( randomizer_base, " FINISHED BUILDING GNU RADIO BLOCK");
}
//process any Stream ID changes this could affect number of io streams
processStreamIdChanges();
if ( !validGRBlock() || istreams.size() == 0 || ostreams.size() == 0 ) {
LOG_WARN( randomizer_base, "NO STREAMS ATTACHED TO BLOCK..." );
return NOOP;
}
_input_ready.resize( istreams.size() );
_ninput_items_required.resize( istreams.size() );
_ninput_items.resize( istreams.size() );
_input_items.resize( istreams.size() );
_output_items.resize( ostreams.size() );
//
// RESOLVE: need to look at forecast strategy,
// 1) see how many read items are necessary for N number of outputs
// 2) read input data and see how much output we can produce
//
//
// Grab available data from input streams
//
typename _OStreamList::iterator ostream;
typename _IStreamList::iterator istream = istreams.begin();
int nitems=0;
for ( int idx=0 ; istream != istreams.end() && serviceThread->threadRunning() ; idx++, istream++ ) {
// note this a blocking read that can cause deadlocks
nitems = istream->read();
if ( istream->overrun() ) {
LOG_WARN( randomizer_base, " NOT KEEPING UP WITH STREAM ID:" << istream->streamID );
}
if ( istream->sriChanged() ) {
// RESOLVE - need to look at how SRI changes can affect Gnu Radio BLOCK state
LOG_DEBUG( randomizer_base, "SRI CHANGED, STREAMD IDX/ID: "
<< idx << "/" << istream->pkt->streamID );
setOutputStreamSRI( idx, istream->pkt->SRI );
}
}
LOG_TRACE( randomizer_base, "READ NITEMS: " << nitems );
if ( nitems <= 0 && !_istreams[0].eos() ) {
return NOOP;
}
bool eos = false;
int nout = 0;
bool workDone = false;
while ( nout > -1 && serviceThread->threadRunning() ) {
eos = false;
nout = _forecastAndProcess( eos, istreams, ostreams );
if ( nout > -1 ) {
workDone = true;
// we chunked on data so move read pointer..
istream = istreams.begin();
for ( ; istream != istreams.end(); istream++ ) {
int idx=std::distance( istreams.begin(), istream );
// if we processed data for this stream
if ( _input_ready[idx] ) {
size_t nitems = 0;
try {
nitems = gr_sptr->nitems_read( idx );
} catch(...){}
if ( nitems > istream->nitems() ) {
LOG_WARN( randomizer_base, "WORK CONSUMED MORE DATA THAN AVAILABLE, READ/AVAILABLE "
<< nitems << "/" << istream->nitems() );
nitems = istream->nitems();
}
istream->consume( nitems );
LOG_TRACE( randomizer_base, " CONSUME READ DATA ITEMS/REMAIN " << nitems << "/" << istream->nitems());
}
}
gr_sptr->reset_read_index();
}
// check for not enough data return
if ( nout == -1 ) {
// check for end of stream
//.........这里部分代码省略.........
开发者ID:RedhawkSDR,项目名称:integration-gnuhawk,代码行数:101,代码来源:randomizer_base.cpp
示例4: lock
template < typename IN_PORT_TYPE > int vector_sink_s_base::_analyzerServiceFunction( typename std::vector< gr_istream< IN_PORT_TYPE > > &istreams ) {
typedef typename std::vector< gr_istream< IN_PORT_TYPE > > _IStreamList;
boost::mutex::scoped_lock lock(serviceThreadLock);
if ( validGRBlock() == false ) {
// create our processing block
createBlock();
LOG_DEBUG( vector_sink_s_base, " FINISHED BUILDING GNU RADIO BLOCK");
}
// process any Stream ID changes this could affect number of io streams
processStreamIdChanges();
if ( !validGRBlock() || istreams.size() == 0 ) {
LOG_WARN(vector_sink_s_base, "NO STREAMS ATTACHED TO BLOCK..." );
return NOOP;
}
// resize data vectors for passing data to GR_BLOCK object
_input_ready.resize( istreams.size() );
_ninput_items_required.resize( istreams.size());
_ninput_items.resize( istreams.size());
_input_items.resize(istreams.size());
_output_items.resize(0);
//
// RESOLVE: need to look at forecast strategy,
// 1) see how many read items are necessary for N number of outputs
// 2) read input data and see how much output we can produce
//
//
// Grab available data from input streams
//
typename _IStreamList::iterator istream = istreams.begin();
int nitems=0;
for ( int idx=0 ; istream != istreams.end() && serviceThread->threadRunning() ; idx++, istream++ ) {
// note this a blocking read that can cause deadlocks
nitems = istream->read();
if ( istream->overrun() ) {
LOG_WARN( vector_sink_s_base, " NOT KEEPING UP WITH STREAM ID:" << istream->streamID );
}
// RESOLVE issue when SRI changes that could affect the GNU Radio BLOCK
if ( istream->sriChanged() ) {
LOG_DEBUG( vector_sink_s_base, "SRI CHANGED, STREAMD IDX/ID: "
<< idx << "/" << istream->pkt->streamID );
}
}
LOG_TRACE( vector_sink_s_base, "READ NITEMS: " << nitems );
if ( nitems <= 0 && !_istreams[0].eos() ) return NOOP;
bool exitServiceFunction = false;
bool eos = false;
int nout = 0;
while ( nout > -1 && !exitServiceFunction && serviceThread->threadRunning() ) {
eos = false;
nout = _forecastAndProcess( eos, istreams );
if ( nout > -1 ) {
// we chunked on data so move read pointer..
istream = istreams.begin();
for ( ; istream != istreams.end(); istream++ ) {
int idx=std::distance( istreams.begin(), istream );
// if we processed data for this stream
if ( _input_ready[idx] ) {
size_t nitems = 0;
try {
nitems = gr_sptr->nitems_read( idx );
}
catch(...){}
if ( nitems > istream->nitems() ) {
LOG_WARN( vector_sink_s_base, "WORK CONSUMED MORE DATA THAN AVAILABLE, READ/AVAILABLE " << nitems << "/" << istream->nitems() );
nitems = istream->nitems();
}
istream->consume( nitems );
LOG_TRACE( vector_sink_s_base, " CONSUME READ DATA ITEMS/REMAIN " << nitems << "/" << istream->nitems());
}
}
gr_sptr->reset_read_index();
}
// check for not enough data return
if ( nout == -1 ) {
// check for end of stream
istream = istreams.begin();
for ( ; istream != istreams.end() ; istream++) if ( istream->eos() ) eos=true;
if ( eos ) {
LOG_TRACE( vector_sink_s_base, " DATA NOT READY, EOS:" << eos );
//.........这里部分代码省略.........
开发者ID:VenturaSolutionsInc,项目名称:integration-gnuhawk,代码行数:101,代码来源:vector_sink_s_base.cpp
注:本文中的typename_istreamlist::iterator类示例由纯净天空整理自Github/MSDocs等源码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。 |
请发表评论