am e4619f02: Merge "Don\'t assume that correctable words are invalid"
* commit 'e4619f029e84fd845b0771871218274b99c30ffa': Don't assume that correctable words are invalidmain
commit
458cc72c15
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@ -674,7 +674,8 @@ public class DictionaryFacilitatorImpl implements DictionaryFacilitator {
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long proximityInfoHandle = keyboard.getProximityInfo().getNativeProximityInfo();
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final DictionaryGroup[] dictionaryGroups = mDictionaryGroups;
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final SuggestionResults suggestionResults = new SuggestionResults(
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SuggestedWords.MAX_SUGGESTIONS, ngramContext.isBeginningOfSentenceContext());
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SuggestedWords.MAX_SUGGESTIONS, ngramContext.isBeginningOfSentenceContext(),
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false /* firstSuggestionExceedsConfidenceThreshold */);
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final float[] weightOfLangModelVsSpatialModel =
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new float[] { Dictionary.NOT_A_WEIGHT_OF_LANG_MODEL_VS_SPATIAL_MODEL };
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for (final DictionaryGroup dictionaryGroup : dictionaryGroups) {
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@ -210,7 +210,8 @@ public final class Suggest {
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}
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}
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SuggestedWordInfo.removeDups(typedWordString, suggestionsContainer);
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final int firstOcurrenceOfTypedWordInSuggestions =
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SuggestedWordInfo.removeDups(typedWordString, suggestionsContainer);
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final SuggestedWordInfo whitelistedWordInfo =
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getWhitelistedWordInfoOrNull(suggestionsContainer);
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@ -273,7 +274,8 @@ public final class Suggest {
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hasAutoCorrection = false;
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} else {
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final SuggestedWordInfo firstSuggestion = suggestionResults.first();
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if (suggestionResults.mAutocorrectRecommendation) {
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if (suggestionResults.mFirstSuggestionExceedsConfidenceThreshold
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&& firstOcurrenceOfTypedWordInSuggestions != 0) {
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hasAutoCorrection = true;
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} else if (!AutoCorrectionUtils.suggestionExceedsThreshold(
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firstSuggestion, consideredWord, mAutoCorrectionThreshold)) {
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@ -314,12 +316,12 @@ public final class Suggest {
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} else {
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inputStyle = inputStyleIfNotPrediction;
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}
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final boolean isTypedWordValid = firstOcurrenceOfTypedWordInSuggestions > -1
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|| (!resultsArePredictions && !allowsToBeAutoCorrected);
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callback.onGetSuggestedWords(new SuggestedWords(suggestionsList,
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suggestionResults.mRawSuggestions, typedWordInfo,
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// TODO: this first argument is lying. If this is a whitelisted word which is an
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// actual word, it says typedWordValid = false, which looks wrong. We should either
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// rename the attribute or change the value.
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!resultsArePredictions && !allowsToBeAutoCorrected /* typedWordValid */,
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isTypedWordValid,
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hasAutoCorrection /* willAutoCorrect */,
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false /* isObsoleteSuggestions */, inputStyle, sequenceNumber));
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}
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@ -17,6 +17,7 @@
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package com.android.inputmethod.latin;
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import android.text.TextUtils;
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import android.util.Log;
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import android.view.inputmethod.CompletionInfo;
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import com.android.inputmethod.annotations.UsedForTesting;
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@ -375,31 +376,45 @@ public class SuggestedWords {
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return mWord + " (" + mDebugString + ")";
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}
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// This will always remove the higher index if a duplicate is found.
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public static void removeDups(@Nullable final String typedWord,
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@Nonnull ArrayList<SuggestedWordInfo> candidates) {
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/**
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* This will always remove the higher index if a duplicate is found.
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*
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* @return position of typed word in the candidate list
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*/
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public static int removeDups(
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@Nullable final String typedWord,
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@Nonnull final ArrayList<SuggestedWordInfo> candidates) {
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if (candidates.isEmpty()) {
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return;
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return -1;
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}
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int firstOccurrenceOfWord = -1;
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if (!TextUtils.isEmpty(typedWord)) {
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removeSuggestedWordInfoFromList(typedWord, candidates, -1 /* startIndexExclusive */);
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firstOccurrenceOfWord = removeSuggestedWordInfoFromList(
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typedWord, candidates, -1 /* startIndexExclusive */);
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}
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for (int i = 0; i < candidates.size(); ++i) {
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removeSuggestedWordInfoFromList(candidates.get(i).mWord, candidates,
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i /* startIndexExclusive */);
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removeSuggestedWordInfoFromList(
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candidates.get(i).mWord, candidates, i /* startIndexExclusive */);
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}
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return firstOccurrenceOfWord;
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}
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private static void removeSuggestedWordInfoFromList(
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@Nonnull final String word, @Nonnull final ArrayList<SuggestedWordInfo> candidates,
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private static int removeSuggestedWordInfoFromList(
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@Nonnull final String word,
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@Nonnull final ArrayList<SuggestedWordInfo> candidates,
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final int startIndexExclusive) {
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int firstOccurrenceOfWord = -1;
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for (int i = startIndexExclusive + 1; i < candidates.size(); ++i) {
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final SuggestedWordInfo previous = candidates.get(i);
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if (word.equals(previous.mWord)) {
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if (firstOccurrenceOfWord == -1) {
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firstOccurrenceOfWord = i;
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}
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candidates.remove(i);
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--i;
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}
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}
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return firstOccurrenceOfWord;
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}
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}
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@ -33,21 +33,18 @@ public final class SuggestionResults extends TreeSet<SuggestedWordInfo> {
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// TODO: Instead of a boolean , we may want to include the context of this suggestion results,
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// such as {@link NgramContext}.
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public final boolean mIsBeginningOfSentence;
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public final boolean mAutocorrectRecommendation;
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public final boolean mFirstSuggestionExceedsConfidenceThreshold;
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private final int mCapacity;
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public SuggestionResults(final int capacity, final boolean isBeginningOfSentence) {
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this(sSuggestedWordInfoComparator, capacity, isBeginningOfSentence, false);
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}
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public SuggestionResults(final int capacity, final boolean isBeginningOfSentence,
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final boolean autocorrectRecommendation) {
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final boolean firstSuggestionExceedsConfidenceThreshold) {
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this(sSuggestedWordInfoComparator, capacity, isBeginningOfSentence,
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autocorrectRecommendation);
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firstSuggestionExceedsConfidenceThreshold);
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}
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private SuggestionResults(final Comparator<SuggestedWordInfo> comparator, final int capacity,
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final boolean isBeginningOfSentence, final boolean autocorrectRecommendation) {
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final boolean isBeginningOfSentence,
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final boolean firstSuggestionExceedsConfidenceThreshold) {
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super(comparator);
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mCapacity = capacity;
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if (ProductionFlags.INCLUDE_RAW_SUGGESTIONS) {
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@ -56,7 +53,7 @@ public final class SuggestionResults extends TreeSet<SuggestedWordInfo> {
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mRawSuggestions = null;
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}
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mIsBeginningOfSentence = isBeginningOfSentence;
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mAutocorrectRecommendation = autocorrectRecommendation;
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mFirstSuggestionExceedsConfidenceThreshold = firstSuggestionExceedsConfidenceThreshold;
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}
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@Override
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@ -59,6 +59,14 @@ public class SuggestedWordsTests extends AndroidTestCase {
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SuggestedWordInfo.NOT_A_CONFIDENCE /* autoCommitFirstWordConfidence */);
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}
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private static ArrayList<SuggestedWordInfo> createCorrectionWordInfos(final String... words) {
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final ArrayList<SuggestedWordInfo> infos = new ArrayList<>();
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for (final String word : words) {
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infos.add(createCorrectionWordInfo(word));
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}
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return infos;
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}
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// Helper for testGetTransformedWordInfo
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private static SuggestedWordInfo transformWordInfo(final String info,
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final int trailingSingleQuotesCount) {
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@ -72,6 +80,30 @@ public class SuggestedWordsTests extends AndroidTestCase {
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return returnedWordInfo;
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}
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public void testRemoveDupesNoDupes() {
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final ArrayList<SuggestedWordInfo> infos = createCorrectionWordInfos("a", "c");
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assertEquals(-1, SuggestedWordInfo.removeDups("b", infos));
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assertEquals(2, infos.size());
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}
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public void testRemoveDupesTypedWordNotDupe() {
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final ArrayList<SuggestedWordInfo> infos = createCorrectionWordInfos("a", "a", "c");
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assertEquals(-1, SuggestedWordInfo.removeDups("b", infos));
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assertEquals(2, infos.size());
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}
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public void testRemoveDupesTypedWordOnlyDupe() {
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final ArrayList<SuggestedWordInfo> infos = createCorrectionWordInfos("a", "b", "c");
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assertEquals(1, SuggestedWordInfo.removeDups("b", infos));
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assertEquals(2, infos.size());
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}
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public void testRemoveDupesTypedWordNotOnlyDupe() {
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final ArrayList<SuggestedWordInfo> infos = createCorrectionWordInfos("a", "b", "b", "c");
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assertEquals(1, SuggestedWordInfo.removeDups("b", infos));
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assertEquals(2, infos.size());
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}
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public void testGetTransformedSuggestedWordInfo() {
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SuggestedWordInfo result = transformWordInfo("word", 0);
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assertEquals(result.mWord, "word");
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