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-rw-r--r--extractor/data_array.h6
-rw-r--r--extractor/data_array_test.cc30
2 files changed, 31 insertions, 5 deletions
diff --git a/extractor/data_array.h b/extractor/data_array.h
index 7c120b3c..96950789 100644
--- a/extractor/data_array.h
+++ b/extractor/data_array.h
@@ -15,6 +15,9 @@ enum Side {
TARGET
};
+// TODO: This class has features for both the source and target data arrays.
+// Maybe we can save some memory by having more specific implementations (e.g.
+// sentence_id is only needed for the source data array).
class DataArray {
public:
static int NULL_WORD;
@@ -48,7 +51,6 @@ class DataArray {
virtual int GetSentenceStart(int position) const;
- //TODO(pauldb): Add unit tests.
virtual int GetSentenceLength(int sentence_id) const;
virtual int GetSentenceId(int position) const;
@@ -67,8 +69,6 @@ class DataArray {
unordered_map<string, int> word2id;
vector<string> id2word;
vector<int> data;
- // TODO(pauldb): We only need sentence_id for the source language. Maybe we
- // can save some memory here.
vector<int> sentence_id;
vector<int> sentence_start;
};
diff --git a/extractor/data_array_test.cc b/extractor/data_array_test.cc
index 772ba10e..ba5ce09e 100644
--- a/extractor/data_array_test.cc
+++ b/extractor/data_array_test.cc
@@ -26,18 +26,28 @@ class DataArrayTest : public Test {
};
TEST_F(DataArrayTest, TestGetData) {
- vector<int> expected_source_data{2, 3, 4, 5, 1, 2, 6, 7, 8, 5, 1};
+ 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<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));
}
}
@@ -61,10 +71,26 @@ TEST_F(DataArrayTest, TestSentenceData) {
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));
+ }
}
} // namespace