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// $Id$
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// vim:tabstop=2
/***********************************************************************
Moses - factored phrase - based language decoder
Copyright ( C ) 2010 Hieu Hoang
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This library is free software ; you can redistribute it and / or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation ; either
version 2.1 of the License , or ( at your option ) any later version .
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This library is distributed in the hope that it will be useful ,
but WITHOUT ANY WARRANTY ; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE . See the GNU
Lesser General Public License for more details .
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You should have received a copy of the GNU Lesser General Public
License along with this library ; if not , write to the Free Software
Foundation , Inc . , 51 Franklin Street , Fifth Floor , Boston , MA 02110 - 1301 USA
* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
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# include <algorithm>
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# include "StaticData.h"
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# include "ChartHypothesisCollection.h"
# include "ChartHypothesis.h"
# include "ChartManager.h"
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# include "util/exception.hh"
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using namespace std ;
using namespace Moses ;
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namespace Moses
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{
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ChartHypothesisCollection : : ChartHypothesisCollection ( )
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{
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const StaticData & staticData = StaticData : : Instance ( ) ;
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m_beamWidth = staticData . GetBeamWidth ( ) ;
m_maxHypoStackSize = staticData . GetMaxHypoStackSize ( ) ;
m_nBestIsEnabled = staticData . IsNBestEnabled ( ) ;
m_bestScore = - std : : numeric_limits < float > : : infinity ( ) ;
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}
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ChartHypothesisCollection : : ~ ChartHypothesisCollection ( )
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{
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HCType : : iterator iter ;
for ( iter = m_hypos . begin ( ) ; iter ! = m_hypos . end ( ) ; + + iter ) {
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ChartHypothesis * hypo = * iter ;
ChartHypothesis : : Delete ( hypo ) ;
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}
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//RemoveAllInColl(m_hypos);
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}
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/** public function to add hypothesis to this collection.
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* Returns false if equiv hypo exists in collection , otherwise returns true .
* Takes care of update arc list for n - best list creation .
* Will delete hypo is it exist - once this function is call don ' t delete hypothesis .
* \ param hypo hypothesis to add
* \ param manager pointer back to manager
*/
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bool ChartHypothesisCollection : : AddHypothesis ( ChartHypothesis * hypo , ChartManager & manager )
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{
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if ( hypo - > GetTotalScore ( ) = = - std : : numeric_limits < float > : : infinity ( ) ) {
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manager . GetSentenceStats ( ) . AddDiscarded ( ) ;
VERBOSE ( 3 , " discarded, -inf score " < < std : : endl ) ;
ChartHypothesis : : Delete ( hypo ) ;
return false ;
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}
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if ( hypo - > GetTotalScore ( ) < m_bestScore + m_beamWidth ) {
// really bad score. don't bother adding hypo into collection
manager . GetSentenceStats ( ) . AddDiscarded ( ) ;
VERBOSE ( 3 , " discarded, too bad for stack " < < std : : endl ) ;
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ChartHypothesis : : Delete ( hypo ) ;
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return false ;
}
// over threshold, try to add to collection
std : : pair < HCType : : iterator , bool > addRet = Add ( hypo , manager ) ;
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// does it have the same state as an existing hypothesis?
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if ( addRet . second ) {
// nothing found. add to collection
return true ;
}
// equiv hypo exists, recombine with other hypo
HCType : : iterator & iterExisting = addRet . first ;
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ChartHypothesis * hypoExisting = * iterExisting ;
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UTIL_THROW_IF2 ( iterExisting = = m_hypos . end ( ) ,
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" Adding a hypothesis should have returned a valid iterator " ) ;
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//StaticData::Instance().GetSentenceStats().AddRecombination(*hypo, **iterExisting);
// found existing hypo with same target ending.
// keep the best 1
if ( hypo - > GetTotalScore ( ) > hypoExisting - > GetTotalScore ( ) ) {
// incoming hypo is better than the one we have
VERBOSE ( 3 , " better than matching hyp " < < hypoExisting - > GetId ( ) < < " , recombining, " ) ;
if ( m_nBestIsEnabled ) {
hypo - > AddArc ( hypoExisting ) ;
Detach ( iterExisting ) ;
} else {
Remove ( iterExisting ) ;
}
bool added = Add ( hypo , manager ) . second ;
if ( ! added ) {
iterExisting = m_hypos . find ( hypo ) ;
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UTIL_THROW2 ( " Offending hypo = " < < * * iterExisting ) ;
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}
return false ;
} else {
// already storing the best hypo. discard current hypo
VERBOSE ( 3 , " worse than matching hyp " < < hypoExisting - > GetId ( ) < < " , recombining " < < std : : endl )
if ( m_nBestIsEnabled ) {
hypoExisting - > AddArc ( hypo ) ;
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} else {
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ChartHypothesis : : Delete ( hypo ) ;
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}
return false ;
}
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}
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/** add hypothesis to stack. Prune if necessary.
* Returns false if equiv hypo exists in collection , otherwise returns true , and the iterator that points to the place where the hypo was added
* \ param hypo hypothesis to add
* \ param manager pointer back to manager
*/
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pair < ChartHypothesisCollection : : HCType : : iterator , bool > ChartHypothesisCollection : : Add ( ChartHypothesis * hypo , ChartManager & manager )
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{
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std : : pair < HCType : : iterator , bool > ret = m_hypos . insert ( hypo ) ;
if ( ret . second ) {
// equiv hypo doesn't exists
VERBOSE ( 3 , " added hyp to stack " ) ;
// Update best score, if this hypothesis is new best
if ( hypo - > GetTotalScore ( ) > m_bestScore ) {
VERBOSE ( 3 , " , best on stack " ) ;
m_bestScore = hypo - > GetTotalScore ( ) ;
}
// Prune only if stack is twice as big as needed (lazy pruning)
VERBOSE ( 3 , " , now size " < < m_hypos . size ( ) ) ;
if ( m_hypos . size ( ) > 2 * m_maxHypoStackSize - 1 ) {
PruneToSize ( manager ) ;
} else {
VERBOSE ( 3 , std : : endl ) ;
}
}
return ret ;
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}
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/** Remove hypothesis pointed to by iterator but DOES NOT delete the object.
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* \ param iter iterator to delete
*/
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void ChartHypothesisCollection : : Detach ( const HCType : : iterator & iter )
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{
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m_hypos . erase ( iter ) ;
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}
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/** destroy iterator AND hypothesis pointed to by iterator. If in an object pool, takes care of that too
*/
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void ChartHypothesisCollection : : Remove ( const HCType : : iterator & iter )
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{
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ChartHypothesis * h = * iter ;
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/*
stringstream strme ( " " ) ;
strme < < h - > GetOutputPhrase ( ) ;
string toFind = " the goal of gene scientists is " ;
size_t pos = toFind . find ( strme . str ( ) ) ;
if ( pos = = 0 )
{
cerr < < pos < < " " < < strme . str ( ) < < * h < < endl ;
cerr < < * this < < endl ;
}
*/
Detach ( iter ) ;
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ChartHypothesis : : Delete ( h ) ;
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}
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/** prune number of hypo to a particular number of hypos, specified by m_maxHypoStackSize, according to score
* Don ' t prune of hypos have identical scores on the boundary , so occasionally number of hypo can remain above m_maxHypoStackSize .
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* \ param manager reference back to manager . Used for collecting stats
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*/
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void ChartHypothesisCollection : : PruneToSize ( ChartManager & manager )
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{
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if ( m_maxHypoStackSize = = 0 ) return ; // no limit
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if ( GetSize ( ) > m_maxHypoStackSize ) { // ok, if not over the limit
priority_queue < float > bestScores ;
// push all scores to a heap
// (but never push scores below m_bestScore+m_beamWidth)
HCType : : iterator iter = m_hypos . begin ( ) ;
float score = 0 ;
while ( iter ! = m_hypos . end ( ) ) {
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ChartHypothesis * hypo = * iter ;
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score = hypo - > GetTotalScore ( ) ;
if ( score > m_bestScore + m_beamWidth ) {
bestScores . push ( score ) ;
}
+ + iter ;
}
// pop the top newSize scores (and ignore them, these are the scores of hyps that will remain)
// ensure to never pop beyond heap size
size_t minNewSizeHeapSize = m_maxHypoStackSize > bestScores . size ( ) ? bestScores . size ( ) : m_maxHypoStackSize ;
for ( size_t i = 1 ; i < minNewSizeHeapSize ; i + + )
bestScores . pop ( ) ;
// and remember the threshold
float scoreThreshold = bestScores . top ( ) ;
// delete all hypos under score threshold
iter = m_hypos . begin ( ) ;
while ( iter ! = m_hypos . end ( ) ) {
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ChartHypothesis * hypo = * iter ;
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float score = hypo - > GetTotalScore ( ) ;
if ( score < scoreThreshold ) {
HCType : : iterator iterRemove = iter + + ;
Remove ( iterRemove ) ;
manager . GetSentenceStats ( ) . AddPruning ( ) ;
} else {
+ + iter ;
}
}
VERBOSE ( 3 , " , pruned to size " < < m_hypos . size ( ) < < endl ) ;
IFVERBOSE ( 3 ) {
TRACE_ERR ( " stack now contains: " ) ;
for ( iter = m_hypos . begin ( ) ; iter ! = m_hypos . end ( ) ; iter + + ) {
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ChartHypothesis * hypo = * iter ;
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TRACE_ERR ( hypo - > GetId ( ) < < " ( " < < hypo - > GetTotalScore ( ) < < " ) " ) ;
}
TRACE_ERR ( endl ) ;
}
// desperation pruning
if ( m_hypos . size ( ) > m_maxHypoStackSize * 2 ) {
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std : : vector < ChartHypothesis * > hyposOrdered ;
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// sort hypos
std : : copy ( m_hypos . begin ( ) , m_hypos . end ( ) , std : : inserter ( hyposOrdered , hyposOrdered . end ( ) ) ) ;
std : : sort ( hyposOrdered . begin ( ) , hyposOrdered . end ( ) , ChartHypothesisScoreOrderer ( ) ) ;
//keep only |size|. delete the rest
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std : : vector < ChartHypothesis * > : : iterator iter ;
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for ( iter = hyposOrdered . begin ( ) + ( m_maxHypoStackSize * 2 ) ; iter ! = hyposOrdered . end ( ) ; + + iter ) {
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ChartHypothesis * hypo = * iter ;
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HCType : : iterator iterFindHypo = m_hypos . find ( hypo ) ;
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UTIL_THROW_IF2 ( iterFindHypo = = m_hypos . end ( ) ,
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" Adding a hypothesis should have returned a valid iterator " ) ;
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Remove ( iterFindHypo ) ;
}
}
}
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}
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//! sort hypothses by descending score. Put these hypos into a vector m_hyposOrdered to be returned by function GetSortedHypotheses()
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void ChartHypothesisCollection : : SortHypotheses ( )
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{
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UTIL_THROW_IF2 ( ! m_hyposOrdered . empty ( ) , " Hypotheses already sorted " ) ;
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if ( ! m_hypos . empty ( ) ) {
// done everything for this cell.
// sort
// put into vec
m_hyposOrdered . reserve ( m_hypos . size ( ) ) ;
std : : copy ( m_hypos . begin ( ) , m_hypos . end ( ) , back_inserter ( m_hyposOrdered ) ) ;
std : : sort ( m_hyposOrdered . begin ( ) , m_hyposOrdered . end ( ) , ChartHypothesisScoreOrderer ( ) ) ;
}
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}
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//! Call CleanupArcList() for each main hypo in collection
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void ChartHypothesisCollection : : CleanupArcList ( )
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{
HCType : : iterator iter ;
for ( iter = m_hypos . begin ( ) ; iter ! = m_hypos . end ( ) ; + + iter ) {
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ChartHypothesis * mainHypo = * iter ;
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mainHypo - > CleanupArcList ( ) ;
}
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}
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/** Return all hypos, and all hypos in the arclist, in order to create the output searchgraph, ie. the hypergraph. The output is the debug hypo information.
* @ todo this is a useful function . Make sure it outputs everything required , especially scores .
* \ param translationId unique , contiguous id for the input sentence
* \ param outputSearchGraphStream stream to output the info to
* \ param reachable @ todo don ' t know
*/
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void ChartHypothesisCollection : : GetSearchGraph ( long translationId , std : : ostream & outputSearchGraphStream , const std : : map < unsigned , bool > & reachable ) const
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{
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HCType : : const_iterator iter ;
for ( iter = m_hypos . begin ( ) ; iter ! = m_hypos . end ( ) ; + + iter ) {
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ChartHypothesis & mainHypo = * * iter ;
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if ( StaticData : : Instance ( ) . GetUnprunedSearchGraph ( ) | |
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reachable . find ( mainHypo . GetId ( ) ) ! = reachable . end ( ) ) {
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outputSearchGraphStream < < translationId < < " " < < mainHypo < < endl ;
}
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const ChartArcList * arcList = mainHypo . GetArcList ( ) ;
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if ( arcList ) {
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ChartArcList : : const_iterator iterArc ;
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for ( iterArc = arcList - > begin ( ) ; iterArc ! = arcList - > end ( ) ; + + iterArc ) {
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const ChartHypothesis & arc = * * iterArc ;
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if ( reachable . find ( arc . GetId ( ) ) ! = reachable . end ( ) ) {
outputSearchGraphStream < < translationId < < " " < < arc < < endl ;
}
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}
}
}
}
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std : : ostream & operator < < ( std : : ostream & out , const ChartHypothesisCollection & coll )
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{
HypoList : : const_iterator iterInside ;
for ( iterInside = coll . m_hyposOrdered . begin ( ) ; iterInside ! = coll . m_hyposOrdered . end ( ) ; + + iterInside ) {
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const ChartHypothesis & hypo = * * iterInside ;
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out < < hypo < < endl ;
}
return out ;
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}
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} // namespace