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Merge "Update unit test for beginning-of-sentence."
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@ -256,7 +256,24 @@ bool Ver4PatriciaTriePolicy::addNgramEntry(const PrevWordsInfo *const prevWordsI
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false /* tryLowerCaseSearch */);
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// TODO: Support N-gram.
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if (prevWordsPtNodePos[0] == NOT_A_DICT_POS) {
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return false;
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if (prevWordsInfo->isNthPrevWordBeginningOfSentence(1 /* n */)) {
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const std::vector<UnigramProperty::ShortcutProperty> shortcuts;
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const UnigramProperty beginningOfSentenceUnigramProperty(
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true /* representsBeginningOfSentence */, true /* isNotAWord */,
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false /* isBlacklisted */, MAX_PROBABILITY /* probability */,
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NOT_A_TIMESTAMP /* timestamp */, 0 /* level */, 0 /* count */, &shortcuts);
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if (!addUnigramEntry(prevWordsInfo->getNthPrevWordCodePoints(1 /* n */),
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prevWordsInfo->getNthPrevWordCodePointCount(1 /* n */),
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&beginningOfSentenceUnigramProperty)) {
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AKLOGE("Cannot add unigram entry for the beginning-of-sentence.");
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return false;
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}
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// Refresh Terminal PtNode positions.
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prevWordsInfo->getPrevWordsTerminalPtNodePos(this, prevWordsPtNodePos,
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false /* tryLowerCaseSearch */);
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} else {
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return false;
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}
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}
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const int word1Pos = getTerminalPtNodePositionOfWord(
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bigramProperty->getTargetCodePoints()->data(),
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@ -1450,27 +1450,23 @@ public class BinaryDictionaryTests extends AndroidTestCase {
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0 /* offset */, dictFile.length(), true /* useFullEditDistance */,
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Locale.getDefault(), TEST_LOCALE, true /* isUpdatable */);
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final int dummyProbability = 0;
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binaryDictionary.addUnigramEntry("", dummyProbability, "" /* shortcutTarget */,
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BinaryDictionary.NOT_A_PROBABILITY /* shortcutProbability */,
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true /* isBeginningOfSentence */, true /* isNotAWord */, false /* isBlacklisted */,
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BinaryDictionary.NOT_A_VALID_TIMESTAMP /* timestamp */);
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final PrevWordsInfo prevWordsInfoStartOfSentence = PrevWordsInfo.BEGINNING_OF_SENTENCE;
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final PrevWordsInfo prevWordsInfoBeginningOfSentence = PrevWordsInfo.BEGINNING_OF_SENTENCE;
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final int bigramProbability = 200;
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addUnigramWord(binaryDictionary, "aaa", dummyProbability);
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binaryDictionary.addNgramEntry(prevWordsInfoStartOfSentence, "aaa", bigramProbability,
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binaryDictionary.addNgramEntry(prevWordsInfoBeginningOfSentence, "aaa", bigramProbability,
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BinaryDictionary.NOT_A_VALID_TIMESTAMP /* timestamp */);
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assertEquals(bigramProbability,
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binaryDictionary.getNgramProbability(prevWordsInfoStartOfSentence, "aaa"));
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binaryDictionary.addNgramEntry(prevWordsInfoStartOfSentence, "aaa", bigramProbability,
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binaryDictionary.getNgramProbability(prevWordsInfoBeginningOfSentence, "aaa"));
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binaryDictionary.addNgramEntry(prevWordsInfoBeginningOfSentence, "aaa", bigramProbability,
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BinaryDictionary.NOT_A_VALID_TIMESTAMP /* timestamp */);
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addUnigramWord(binaryDictionary, "bbb", dummyProbability);
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binaryDictionary.addNgramEntry(prevWordsInfoStartOfSentence, "bbb", bigramProbability,
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binaryDictionary.addNgramEntry(prevWordsInfoBeginningOfSentence, "bbb", bigramProbability,
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BinaryDictionary.NOT_A_VALID_TIMESTAMP /* timestamp */);
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binaryDictionary.flushWithGC();
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assertEquals(bigramProbability,
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binaryDictionary.getNgramProbability(prevWordsInfoStartOfSentence, "aaa"));
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binaryDictionary.getNgramProbability(prevWordsInfoBeginningOfSentence, "aaa"));
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assertEquals(bigramProbability,
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binaryDictionary.getNgramProbability(prevWordsInfoStartOfSentence, "bbb"));
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binaryDictionary.getNgramProbability(prevWordsInfoBeginningOfSentence, "bbb"));
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}
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public void testGetMaxFrequencyOfExactMatches() {
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