mosesdecoder/mert/DataTest.cpp
2013-05-29 18:16:15 +01:00

78 lines
2.6 KiB
C++

#include "Data.h"
#include "Scorer.h"
#include "ScorerFactory.h"
#define BOOST_TEST_MODULE MertData
#include <boost/test/unit_test.hpp>
#include <boost/scoped_ptr.hpp>
using namespace MosesTuning;
//very basic test of sharding
BOOST_AUTO_TEST_CASE(shard_basic)
{
boost::scoped_ptr<Scorer> scorer(ScorerFactory::getScorer("BLEU", ""));
Data data(scorer.get());
FeatureArray fa1, fa2, fa3, fa4;
ScoreArray sa1, sa2, sa3, sa4;
fa1.setIndex(1);
fa2.setIndex(2);
fa3.setIndex(3);
fa4.setIndex(4);
sa1.setIndex(1);
sa2.setIndex(2);
sa3.setIndex(3);
sa4.setIndex(4);
data.getFeatureData()->add(fa1);
data.getFeatureData()->add(fa2);
data.getFeatureData()->add(fa3);
data.getFeatureData()->add(fa4);
data.getScoreData()->add(sa1);
data.getScoreData()->add(sa2);
data.getScoreData()->add(sa3);
data.getScoreData()->add(sa4);
std::vector<Data> shards;
data.createShards(2,0,"",shards);
BOOST_CHECK_EQUAL(shards.size(),(std::size_t)2);
BOOST_CHECK_EQUAL(shards[1].getFeatureData()->size(),(std::size_t)2);
}
BOOST_AUTO_TEST_CASE(init_feature_map_test)
{
boost::scoped_ptr<Scorer> scorer(ScorerFactory::getScorer("BLEU", ""));
Data data(scorer.get());
std::string s = " d= 0 -7.66174 0 0 -3.51621 0 0 lm= -41.3435 -40.3647 tm= -67.6349 -100.438 -27.6817 -23.4685 8.99907 w= -9 ";
std::string expected = "d_0 d_1 d_2 d_3 d_4 d_5 d_6 lm_0 lm_1 tm_0 tm_1 tm_2 tm_3 tm_4 w_0 ";
data.InitFeatureMap(s);
BOOST_CHECK_EQUAL(expected, data.Features());
}
BOOST_AUTO_TEST_CASE(add_features_test)
{
boost::scoped_ptr<Scorer> scorer(ScorerFactory::getScorer("BLEU", ""));
Data data(scorer.get());
const std::string s1 = " d= 0 lm= -55.5464 -54.8813 w= -8 tm= -75.184 -93.1203 -21.9993 -20.594 7.99917 ";
const std::string& expected = "d_0 lm_0 lm_1 w_0 tm_0 tm_1 tm_2 tm_3 tm_4 ";
data.InitFeatureMap(s1);
BOOST_CHECK_EQUAL(expected, data.Features());
const std::string& s2 = "d= 0 lm= -64.7399 -65.0127 w= -8 tm= -55.8122 -74.8652 -15.6311 -14.7486 7.99917 ";
data.AddFeatures(s2, 0);
const FeatureStats& stats = data.getFeatureData()->get(0, 0);
BOOST_CHECK_EQUAL(9, stats.size());
BOOST_CHECK(IsAlmostEqual(0.0f, stats.get(0)));
BOOST_CHECK(IsAlmostEqual(-64.7399f, stats.get(1)));
BOOST_CHECK(IsAlmostEqual(-65.0127f, stats.get(2)));
BOOST_CHECK(IsAlmostEqual(-8.0f, stats.get(3)));
BOOST_CHECK(IsAlmostEqual(-55.8122f, stats.get(4)));
BOOST_CHECK(IsAlmostEqual(-74.8652f, stats.get(5)));
BOOST_CHECK(IsAlmostEqual(-15.6311f, stats.get(6)));
BOOST_CHECK(IsAlmostEqual(-14.7486f, stats.get(7)));
BOOST_CHECK(IsAlmostEqual(7.99917f, stats.get(8)));
}