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#include <iostream>
#include <fstream>
#include <valarray>
#include <gtest/gtest.h>
#include "tdict.h"
#include "scorer.h"
#include "aer_scorer.h"
using namespace std;
class ScorerTest : public testing::Test {
protected:
virtual void SetUp() {
refs0.resize(4);
refs1.resize(4);
TD::ConvertSentence("export of high-tech products in guangdong in first two months this year reached 3.76 billion us dollars", &refs0[0]);
TD::ConvertSentence("guangdong's export of new high technology products amounts to us $ 3.76 billion in first two months of this year", &refs0[1]);
TD::ConvertSentence("guangdong exports us $ 3.76 billion worth of high technology products in the first two months of this year", &refs0[2]);
TD::ConvertSentence("in the first 2 months this year , the export volume of new hi-tech products in guangdong province reached 3.76 billion us dollars .", &refs0[3]);
TD::ConvertSentence("xinhua news agency , guangzhou , march 16 ( reporter chen ji ) the latest statistics show that from january through february this year , the export of high-tech products in guangdong province reached 3.76 billion us dollars , up 34.8 \% over the same period last year and accounted for 25.5 \% of the total export in the province .", &refs1[0]);
TD::ConvertSentence("xinhua news agency , guangzhou , march 16 ( reporter : chen ji ) -- latest statistic indicates that guangdong's export of new high technology products amounts to us $ 3.76 billion , up 34.8 \% over corresponding period and accounts for 25.5 \% of the total exports of the province .", &refs1[1]);
TD::ConvertSentence("xinhua news agency report of march 16 from guangzhou ( by staff reporter chen ji ) - latest statistics indicate guangdong province exported us $ 3.76 billion worth of high technology products , up 34.8 percent from the same period last year , which account for 25.5 percent of the total exports of the province .", &refs1[2]);
TD::ConvertSentence("guangdong , march 16 , ( xinhua ) -- ( chen ji reports ) as the newest statistics shows , in january and feberuary this year , the export volume of new hi-tech products in guangdong province reached 3.76 billion us dollars , up 34.8 \% than last year , making up 25.5 \% of the province's total .", &refs1[3]);
TD::ConvertSentence("one guangdong province will next export us $ 3.76 high-tech product two months first this year 3.76 billion us dollars", &hyp1);
TD::ConvertSentence("xinhua news agency , guangzhou , 16th of march ( reporter chen ) -- latest statistics suggest that guangdong exports new advanced technology product totals $ 3.76 million , 34.8 percent last corresponding period and accounts for 25.5 percent of the total export province .", &hyp2);
}
virtual void TearDown() { }
vector<vector<WordID> > refs0;
vector<vector<WordID> > refs1;
vector<WordID> hyp1;
vector<WordID> hyp2;
};
TEST_F(ScorerTest, TestCreateFromFiles) {
vector<string> files;
files.push_back("test_data/re.txt.0");
files.push_back("test_data/re.txt.1");
files.push_back("test_data/re.txt.2");
files.push_back("test_data/re.txt.3");
DocScorer ds(IBM_BLEU, files);
}
TEST_F(ScorerTest, TestBLEUScorer) {
ScorerP s1 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs0);
ScorerP s2 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs1);
ScoreP b1 = s1->ScoreCandidate(hyp1);
EXPECT_FLOAT_EQ(0.23185077, b1->ComputeScore());
ScoreP b2 = s2->ScoreCandidate(hyp2);
EXPECT_FLOAT_EQ(0.38101241, b2->ComputeScore());
b1->PlusEquals(*b2);
EXPECT_FLOAT_EQ(0.348854, b1->ComputeScore());
EXPECT_FALSE(b1->IsAdditiveIdentity());
string details;
b1->ScoreDetails(&details);
EXPECT_EQ("BLEU = 34.89, 81.5|50.8|29.5|18.6 (brev=0.898)", details);
cerr << details << endl;
string enc;
b1->Encode(&enc);
ScoreP b3 = SentenceScorer::CreateScoreFromString(IBM_BLEU, enc);
details.clear();
cerr << "Encoded BLEU score size: " << enc.size() << endl;
b3->ScoreDetails(&details);
cerr << details << endl;
EXPECT_FALSE(b3->IsAdditiveIdentity());
EXPECT_EQ("BLEU = 34.89, 81.5|50.8|29.5|18.6 (brev=0.898)", details);
ScoreP bz = b3->GetZero();
EXPECT_TRUE(bz->IsAdditiveIdentity());
}
TEST_F(ScorerTest, TestTERScorer) {
ScorerP s1 = SentenceScorer::CreateSentenceScorer(TER, refs0);
ScorerP s2 = SentenceScorer::CreateSentenceScorer(TER, refs1);
string details;
ScoreP t1 = s1->ScoreCandidate(hyp1);
t1->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
cerr << t1->ComputeScore() << endl;
ScoreP t2 = s2->ScoreCandidate(hyp2);
t2->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
cerr << t2->ComputeScore() << endl;
t1->PlusEquals(*t2);
cerr << t1->ComputeScore() << endl;
t1->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
EXPECT_EQ("TER = 44.16, 4| 8| 16| 6 (len=77)", details);
string enc;
t1->Encode(&enc);
ScoreP t3 = SentenceScorer::CreateScoreFromString(TER, enc);
details.clear();
t3->ScoreDetails(&details);
EXPECT_EQ("TER = 44.16, 4| 8| 16| 6 (len=77)", details);
EXPECT_FALSE(t3->IsAdditiveIdentity());
ScoreP tz = t3->GetZero();
EXPECT_TRUE(tz->IsAdditiveIdentity());
}
TEST_F(ScorerTest, TestTERScorerSimple) {
vector<vector<WordID> > ref(1);
TD::ConvertSentence("1 2 3 A B", &ref[0]);
vector<WordID> hyp;
TD::ConvertSentence("A B 1 2 3", &hyp);
ScorerP s1 = SentenceScorer::CreateSentenceScorer(TER, ref);
string details;
ScoreP t1 = s1->ScoreCandidate(hyp);
t1->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
}
TEST_F(ScorerTest, TestSERScorerSimple) {
vector<vector<WordID> > ref(1);
TD::ConvertSentence("A B C D", &ref[0]);
vector<WordID> hyp1;
TD::ConvertSentence("A B C", &hyp1);
vector<WordID> hyp2;
TD::ConvertSentence("A B C D", &hyp2);
ScorerP s1 = SentenceScorer::CreateSentenceScorer(SER, ref);
string details;
ScoreP t1 = s1->ScoreCandidate(hyp1);
t1->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
ScoreP t2 = s1->ScoreCandidate(hyp2);
t2->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
t2->PlusEquals(*t1);
t2->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
}
TEST_F(ScorerTest, TestCombiScorer) {
ScorerP s1 = SentenceScorer::CreateSentenceScorer(BLEU_minus_TER_over_2, refs0);
string details;
ScoreP t1 = s1->ScoreCandidate(hyp1);
t1->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
cerr << t1->ComputeScore() << endl;
string enc;
t1->Encode(&enc);
ScoreP t2 = SentenceScorer::CreateScoreFromString(BLEU_minus_TER_over_2, enc);
details.clear();
t2->ScoreDetails(&details);
cerr << "DETAILS: " << details << endl;
ScoreP cz = t2->GetZero();
EXPECT_FALSE(t2->IsAdditiveIdentity());
EXPECT_TRUE(cz->IsAdditiveIdentity());
cz->PlusEquals(*t2);
EXPECT_FALSE(cz->IsAdditiveIdentity());
string d2;
cz->ScoreDetails(&d2);
EXPECT_EQ(d2, details);
}
TEST_F(ScorerTest, AERTest) {
vector<vector<WordID> > refs0(1);
TD::ConvertSentence("0-0 2-1 1-2 3-3", &refs0[0]);
vector<WordID> hyp;
TD::ConvertSentence("0-0 1-1", &hyp);
AERScorer* as = new AERScorer(refs0);
ScoreP x = as->ScoreCandidate(hyp);
string details;
x->ScoreDetails(&details);
cerr << details << endl;
string enc;
x->Encode(&enc);
delete as;
cerr << "ENC size: " << enc.size() << endl;
ScoreP y = SentenceScorer::CreateScoreFromString(AER, enc);
string d2;
y->ScoreDetails(&d2);
cerr << d2 << endl;
EXPECT_EQ(d2, details);
}
int main(int argc, char **argv) {
testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}
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