1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
|
#include <gtest/gtest.h>
#include <memory>
#include <sstream>
#include <string>
#include <boost/archive/binary_iarchive.hpp>
#include <boost/archive/binary_oarchive.hpp>
#include <boost/filesystem.hpp>
#include "data_array.h"
using namespace std;
using namespace ::testing;
namespace fs = boost::filesystem;
namespace ar = boost::archive;
namespace extractor {
namespace {
class DataArrayTest : public Test {
protected:
virtual void SetUp() {
string sample_test_file("sample_bitext.txt");
source_data = DataArray(sample_test_file, SOURCE);
target_data = DataArray(sample_test_file, TARGET);
}
DataArray source_data;
DataArray target_data;
};
TEST_F(DataArrayTest, TestGetData) {
vector<int> expected_source_data = {2, 3, 4, 5, 1, 2, 6, 7, 8, 5, 1};
vector<string> expected_source_words = {
"ana", "are", "mere", ".", "__END_OF_LINE__",
"ana", "bea", "mult", "lapte", ".", "__END_OF_LINE__"
};
EXPECT_EQ(expected_source_data, source_data.GetData());
EXPECT_EQ(expected_source_data.size(), source_data.GetSize());
for (size_t i = 0; i < expected_source_data.size(); ++i) {
EXPECT_EQ(expected_source_data[i], source_data.AtIndex(i));
EXPECT_EQ(expected_source_words[i], source_data.GetWordAtIndex(i));
}
vector<int> expected_target_data = {2, 3, 4, 5, 1, 2, 6, 7, 8, 9, 10, 5, 1};
vector<string> expected_target_words = {
"anna", "has", "apples", ".", "__END_OF_LINE__",
"anna", "drinks", "a", "lot", "of", "milk", ".", "__END_OF_LINE__"
};
EXPECT_EQ(expected_target_data, target_data.GetData());
EXPECT_EQ(expected_target_data.size(), target_data.GetSize());
for (size_t i = 0; i < expected_target_data.size(); ++i) {
EXPECT_EQ(expected_target_data[i], target_data.AtIndex(i));
EXPECT_EQ(expected_target_words[i], target_data.GetWordAtIndex(i));
}
}
TEST_F(DataArrayTest, TestVocabulary) {
EXPECT_EQ(9, source_data.GetVocabularySize());
EXPECT_EQ(4, source_data.GetWordId("mere"));
EXPECT_EQ("mere", source_data.GetWord(4));
EXPECT_EQ(11, target_data.GetVocabularySize());
EXPECT_EQ(4, target_data.GetWordId("apples"));
EXPECT_EQ("apples", target_data.GetWord(4));
}
TEST_F(DataArrayTest, TestSentenceData) {
EXPECT_EQ(2, source_data.GetNumSentences());
EXPECT_EQ(0, source_data.GetSentenceStart(0));
EXPECT_EQ(5, source_data.GetSentenceStart(1));
EXPECT_EQ(11, source_data.GetSentenceStart(2));
EXPECT_EQ(4, source_data.GetSentenceLength(0));
EXPECT_EQ(5, source_data.GetSentenceLength(1));
vector<int> expected_source_ids = {0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1};
for (size_t i = 0; i < expected_source_ids.size(); ++i) {
EXPECT_EQ(expected_source_ids[i], source_data.GetSentenceId(i));
}
EXPECT_EQ(2, target_data.GetNumSentences());
EXPECT_EQ(0, target_data.GetSentenceStart(0));
EXPECT_EQ(5, target_data.GetSentenceStart(1));
EXPECT_EQ(13, target_data.GetSentenceStart(2));
EXPECT_EQ(4, target_data.GetSentenceLength(0));
EXPECT_EQ(7, target_data.GetSentenceLength(1));
vector<int> expected_target_ids = {0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1};
for (size_t i = 0; i < expected_target_ids.size(); ++i) {
EXPECT_EQ(expected_target_ids[i], target_data.GetSentenceId(i));
}
}
TEST_F(DataArrayTest, TestSerialization) {
stringstream stream(ios_base::binary | ios_base::out | ios_base::in);
ar::binary_oarchive output_stream(stream, ar::no_header);
output_stream << source_data << target_data;
DataArray source_copy, target_copy;
ar::binary_iarchive input_stream(stream, ar::no_header);
input_stream >> source_copy >> target_copy;
EXPECT_EQ(source_data, source_copy);
EXPECT_EQ(target_data, target_copy);
}
} // namespace
} // namespace extractor
|
