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/***********************************************************************
Moses - factored phrase-based language decoder
Copyright (C) 2010 University of Edinburgh
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.
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.
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
***********************************************************************/
#include "MockHypothesis.h"
#include <boost/test/unit_test.hpp>
#include "TranslationOption.h"
using namespace Moses;
using namespace std;
namespace MosesTest
{
MockHypothesisGuard::MockHypothesisGuard(
const string& sourceSentence,
const vector<Alignment>& alignments,
const vector<string>& targetSegments)
: m_emptyTarget(),
m_sentence(),
m_wp("WordPenalty"),
m_uwp("UnknownWordPenalty"),
m_dist("Distortion"),
m_manager(0,m_sentence,Normal)
{
BOOST_CHECK_EQUAL(alignments.size(), targetSegments.size());
std::vector<Moses::FactorType> factors;
factors.push_back(0);
stringstream in(sourceSentence + "\n");
m_sentence.Read(in,factors);
//Initial empty hypothesis
m_manager.ResetSentenceStats(m_sentence);
m_hypothesis = Hypothesis::Create(m_manager, m_sentence, m_emptyTarget);
//create the chain
vector<Alignment>::const_iterator ai = alignments.begin();
vector<string>::const_iterator ti = targetSegments.begin();
for (; ti != targetSegments.end() && ai != alignments.end(); ++ti,++ai) {
Hypothesis* prevHypo = m_hypothesis;
WordsRange wordsRange(ai->first,ai->second);
m_targetPhrases.push_back(TargetPhrase());
m_targetPhrases.back().CreateFromString(Input, factors, *ti, "|", NULL);
m_toptions.push_back(new TranslationOption
(wordsRange,m_targetPhrases.back()));
m_hypothesis = Hypothesis::Create(*prevHypo,*m_toptions.back(),NULL);
}
}
MockHypothesisGuard::~MockHypothesisGuard()
{
RemoveAllInColl(m_toptions);
while (m_hypothesis) {
Hypothesis* prevHypo = const_cast<Hypothesis*>(m_hypothesis->GetPrevHypo());
delete m_hypothesis;
m_hypothesis = prevHypo;
}
}
HypothesisFixture::HypothesisFixture()
{
string source = "je ne sais pas . ";
vector<string> target;
vector<Alignment> alignments;
m_empty.reset(new MockHypothesisGuard(source,alignments,target));
target.push_back("i");
target.push_back("do not");
alignments.push_back(Alignment(0,0));
alignments.push_back(Alignment(3,3));
m_partial.reset(new MockHypothesisGuard(source,alignments,target));
target.push_back("know");
target.push_back(".");
alignments.push_back(Alignment(1,2));
alignments.push_back(Alignment(4,4));
m_full.reset(new MockHypothesisGuard(source,alignments,target));
}
}
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