am 0088d1f6: Merge "Use whether it\'s exact match to detect distracters."
* commit '0088d1f6683fce0175266b90c3ec04f15ad8daeb': Use whether it's exact match to detect distracters.main
commit
1dab0693d2
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@ -78,7 +78,7 @@ public final class SuggestionSpanUtils {
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break;
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break;
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}
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}
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final SuggestedWordInfo info = suggestedWords.getInfo(i);
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final SuggestedWordInfo info = suggestedWords.getInfo(i);
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if (info.mKind == SuggestedWordInfo.KIND_PREDICTION) {
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if (info.isKindOf(SuggestedWordInfo.KIND_PREDICTION)) {
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continue;
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continue;
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}
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}
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final String word = suggestedWords.getWord(i);
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final String word = suggestedWords.getWord(i);
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@ -326,13 +326,8 @@ public final class BinaryDictionary extends Dictionary {
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// offensive, then we don't output it unless it's also an exact match.
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// offensive, then we don't output it unless it's also an exact match.
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continue;
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continue;
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}
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}
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final int kind = mOutputTypes[j] & SuggestedWordInfo.KIND_MASK_KIND;
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final int score = SuggestedWordInfo.KIND_WHITELIST == kind
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? SuggestedWordInfo.MAX_SCORE : mOutputScores[j];
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// TODO: check that all users of the `kind' parameter are ready to accept
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// flags too and pass mOutputTypes[j] instead of kind
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suggestions.add(new SuggestedWordInfo(new String(mOutputCodePoints, start, len),
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suggestions.add(new SuggestedWordInfo(new String(mOutputCodePoints, start, len),
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score, kind, this /* sourceDict */,
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mOutputScores[j], mOutputTypes[j], this /* sourceDict */,
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mSpaceIndices[j] /* indexOfTouchPointOfSecondWord */,
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mSpaceIndices[j] /* indexOfTouchPointOfSecondWord */,
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mOutputAutoCommitFirstWordConfidence[0]));
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mOutputAutoCommitFirstWordConfidence[0]));
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}
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}
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@ -127,7 +127,7 @@ public final class Suggest {
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suggestionResults.first(), suggestionResults.mLocale, isAllUpperCase,
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suggestionResults.first(), suggestionResults.mLocale, isAllUpperCase,
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isFirstCharCapitalized, trailingSingleQuotesCount);
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isFirstCharCapitalized, trailingSingleQuotesCount);
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firstSuggestion = firstSuggestedWordInfo.mWord;
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firstSuggestion = firstSuggestedWordInfo.mWord;
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if (SuggestedWordInfo.KIND_WHITELIST != firstSuggestedWordInfo.mKind) {
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if (!firstSuggestedWordInfo.isKindOf(SuggestedWordInfo.KIND_WHITELIST)) {
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whitelistedWord = null;
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whitelistedWord = null;
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} else {
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} else {
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whitelistedWord = firstSuggestion;
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whitelistedWord = firstSuggestion;
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@ -158,7 +158,7 @@ public final class Suggest {
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|| suggestionResults.isEmpty() || wordComposer.hasDigits()
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|| suggestionResults.isEmpty() || wordComposer.hasDigits()
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|| wordComposer.isMostlyCaps() || wordComposer.isResumed()
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|| wordComposer.isMostlyCaps() || wordComposer.isResumed()
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|| !mDictionaryFacilitator.hasInitializedMainDictionary()
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|| !mDictionaryFacilitator.hasInitializedMainDictionary()
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|| SuggestedWordInfo.KIND_SHORTCUT == suggestionResults.first().mKind) {
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|| suggestionResults.first().isKindOf(SuggestedWordInfo.KIND_SHORTCUT)) {
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// If we don't have a main dictionary, we never want to auto-correct. The reason for
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// If we don't have a main dictionary, we never want to auto-correct. The reason for
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// this is, the user may have a contact whose name happens to match a valid word in
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// this is, the user may have a contact whose name happens to match a valid word in
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// their language, and it will unexpectedly auto-correct. For example, if the user
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// their language, and it will unexpectedly auto-correct. For example, if the user
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@ -225,13 +225,14 @@ public class SuggestedWords {
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public static final int KIND_MASK_FLAGS = 0xFFFFFF00; // Mask to get the flags
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public static final int KIND_MASK_FLAGS = 0xFFFFFF00; // Mask to get the flags
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public static final int KIND_FLAG_POSSIBLY_OFFENSIVE = 0x80000000;
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public static final int KIND_FLAG_POSSIBLY_OFFENSIVE = 0x80000000;
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public static final int KIND_FLAG_EXACT_MATCH = 0x40000000;
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public static final int KIND_FLAG_EXACT_MATCH = 0x40000000;
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public static final int KIND_FLAG_EXACT_MATCH_WITH_INTENTIONAL_OMISSION = 0x20000000;
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public final String mWord;
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public final String mWord;
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// The completion info from the application. Null for suggestions that don't come from
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// The completion info from the application. Null for suggestions that don't come from
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// the application (including keyboard-computed ones, so this is almost always null)
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// the application (including keyboard-computed ones, so this is almost always null)
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public final CompletionInfo mApplicationSpecifiedCompletionInfo;
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public final CompletionInfo mApplicationSpecifiedCompletionInfo;
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public final int mScore;
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public final int mScore;
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public final int mKind; // one of the KIND_* constants above
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public final int mKind; // kind and kind flags
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public final int mCodePointCount;
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public final int mCodePointCount;
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public final Dictionary mSourceDict;
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public final Dictionary mSourceDict;
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// For auto-commit. This keeps track of the index inside the touch coordinates array
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// For auto-commit. This keeps track of the index inside the touch coordinates array
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@ -247,7 +248,7 @@ public class SuggestedWords {
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* Create a new suggested word info.
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* Create a new suggested word info.
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* @param word The string to suggest.
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* @param word The string to suggest.
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* @param score A measure of how likely this suggestion is.
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* @param score A measure of how likely this suggestion is.
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* @param kind The kind of suggestion, as one of the above KIND_* constants.
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* @param kind The kind of suggestion, as one of the above KIND_* constants with flags.
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* @param sourceDict What instance of Dictionary produced this suggestion.
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* @param sourceDict What instance of Dictionary produced this suggestion.
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* @param indexOfTouchPointOfSecondWord See mIndexOfTouchPointOfSecondWord.
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* @param indexOfTouchPointOfSecondWord See mIndexOfTouchPointOfSecondWord.
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* @param autoCommitFirstWordConfidence See mAutoCommitFirstWordConfidence.
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* @param autoCommitFirstWordConfidence See mAutoCommitFirstWordConfidence.
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@ -282,7 +283,11 @@ public class SuggestedWords {
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}
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}
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public boolean isEligibleForAutoCommit() {
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public boolean isEligibleForAutoCommit() {
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return (KIND_CORRECTION == mKind && NOT_AN_INDEX != mIndexOfTouchPointOfSecondWord);
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return (isKindOf(KIND_CORRECTION) && NOT_AN_INDEX != mIndexOfTouchPointOfSecondWord);
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}
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public boolean isKindOf(final int kind) {
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return (mKind & KIND_MASK_KIND) == kind;
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}
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}
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public void setDebugString(final String str) {
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public void setDebugString(final String str) {
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@ -339,7 +344,7 @@ public class SuggestedWords {
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String typedWord = null;
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String typedWord = null;
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for (int i = 0; i < mSuggestedWordInfoList.size(); ++i) {
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for (int i = 0; i < mSuggestedWordInfoList.size(); ++i) {
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final SuggestedWordInfo info = mSuggestedWordInfoList.get(i);
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final SuggestedWordInfo info = mSuggestedWordInfoList.get(i);
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if (SuggestedWordInfo.KIND_TYPED != info.mKind) {
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if (!info.isKindOf(SuggestedWordInfo.KIND_TYPED)) {
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newSuggestions.add(info);
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newSuggestions.add(info);
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} else {
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} else {
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assert(null == typedWord);
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assert(null == typedWord);
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@ -270,7 +270,7 @@ public final class InputLogic {
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// code path as for other kinds, use commitChosenWord, and do everything normally. We will
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// code path as for other kinds, use commitChosenWord, and do everything normally. We will
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// however need to reset the suggestion strip right away, because we know we can't take
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// however need to reset the suggestion strip right away, because we know we can't take
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// the risk of calling commitCompletion twice because we don't know how the app will react.
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// the risk of calling commitCompletion twice because we don't know how the app will react.
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if (SuggestedWordInfo.KIND_APP_DEFINED == suggestionInfo.mKind) {
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if (suggestionInfo.isKindOf(SuggestedWordInfo.KIND_APP_DEFINED)) {
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mSuggestedWords = SuggestedWords.EMPTY;
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mSuggestedWords = SuggestedWords.EMPTY;
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mSuggestionStripViewAccessor.setNeutralSuggestionStrip();
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mSuggestionStripViewAccessor.setNeutralSuggestionStrip();
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inputTransaction.requireShiftUpdate(InputTransaction.SHIFT_UPDATE_NOW);
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inputTransaction.requireShiftUpdate(InputTransaction.SHIFT_UPDATE_NOW);
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@ -32,12 +32,8 @@ import android.view.inputmethod.InputMethodSubtype;
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import com.android.inputmethod.keyboard.Keyboard;
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import com.android.inputmethod.keyboard.Keyboard;
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import com.android.inputmethod.keyboard.KeyboardId;
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import com.android.inputmethod.keyboard.KeyboardId;
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import com.android.inputmethod.keyboard.KeyboardLayoutSet;
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import com.android.inputmethod.keyboard.KeyboardLayoutSet;
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import com.android.inputmethod.latin.Constants;
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import com.android.inputmethod.latin.DictionaryFacilitator;
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import com.android.inputmethod.latin.DictionaryFacilitator;
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import com.android.inputmethod.latin.PrevWordsInfo;
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import com.android.inputmethod.latin.PrevWordsInfo;
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import com.android.inputmethod.latin.Suggest;
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import com.android.inputmethod.latin.Suggest.OnGetSuggestedWordsCallback;
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import com.android.inputmethod.latin.SuggestedWords;
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import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
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import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
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import com.android.inputmethod.latin.WordComposer;
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import com.android.inputmethod.latin.WordComposer;
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@ -47,6 +43,7 @@ import com.android.inputmethod.latin.WordComposer;
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*/
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*/
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public class DistracterFilterUsingSuggestion implements DistracterFilter {
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public class DistracterFilterUsingSuggestion implements DistracterFilter {
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private static final String TAG = DistracterFilterUsingSuggestion.class.getSimpleName();
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private static final String TAG = DistracterFilterUsingSuggestion.class.getSimpleName();
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private static final boolean DEBUG = false;
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private static final long TIMEOUT_TO_WAIT_LOADING_DICTIONARIES_IN_SECONDS = 120;
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private static final long TIMEOUT_TO_WAIT_LOADING_DICTIONARIES_IN_SECONDS = 120;
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@ -54,17 +51,9 @@ public class DistracterFilterUsingSuggestion implements DistracterFilter {
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private final Map<Locale, InputMethodSubtype> mLocaleToSubtypeMap;
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private final Map<Locale, InputMethodSubtype> mLocaleToSubtypeMap;
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private final Map<Locale, Keyboard> mLocaleToKeyboardMap;
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private final Map<Locale, Keyboard> mLocaleToKeyboardMap;
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private final DictionaryFacilitator mDictionaryFacilitator;
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private final DictionaryFacilitator mDictionaryFacilitator;
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private final Suggest mSuggest;
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private Keyboard mKeyboard;
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private Keyboard mKeyboard;
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private final Object mLock = new Object();
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private final Object mLock = new Object();
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// If the score of the top suggestion exceeds this value, the tested word (e.g.,
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// an OOV, a misspelling, or an in-vocabulary word) would be considered as a distracter to
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// words in dictionary. The greater the threshold is, the less likely the tested word would
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// become a distracter, which means the tested word will be more likely to be added to
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// the dictionary.
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private static final float DISTRACTER_WORD_SCORE_THRESHOLD = 2.0f;
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/**
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/**
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* Create a DistracterFilter instance.
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* Create a DistracterFilter instance.
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*
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*
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@ -75,7 +64,6 @@ public class DistracterFilterUsingSuggestion implements DistracterFilter {
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mLocaleToSubtypeMap = new HashMap<>();
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mLocaleToSubtypeMap = new HashMap<>();
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mLocaleToKeyboardMap = new HashMap<>();
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mLocaleToKeyboardMap = new HashMap<>();
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mDictionaryFacilitator = new DictionaryFacilitator();
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mDictionaryFacilitator = new DictionaryFacilitator();
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mSuggest = new Suggest(mDictionaryFacilitator);
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mKeyboard = null;
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mKeyboard = null;
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}
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}
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@ -109,16 +97,30 @@ public class DistracterFilterUsingSuggestion implements DistracterFilter {
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}
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}
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}
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}
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private static boolean suggestionExceedsDistracterThreshold(
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private static boolean isDistracter(
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final SuggestedWordInfo suggestion, final String consideredWord,
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final SuggestionResults suggestionResults, final String consideredWord) {
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final float distracterThreshold) {
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for (final SuggestedWordInfo suggestedWordInfo : suggestionResults) {
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if (null != suggestion) {
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if (suggestedWordInfo.mWord.equals(consideredWord)) {
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final int suggestionScore = suggestion.mScore;
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continue;
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final float normalizedScore = BinaryDictionaryUtils.calcNormalizedScore(
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consideredWord, suggestion.mWord, suggestionScore);
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if (normalizedScore > distracterThreshold) {
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return true;
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}
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}
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// Exact match can include case errors, accent errors, digraph conversions.
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final boolean isExactMatch =
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(suggestedWordInfo.mKind & SuggestedWordInfo.KIND_FLAG_EXACT_MATCH) != 0;
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final boolean isExactMatchWithIntentionalOmission = (suggestedWordInfo.mKind
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& SuggestedWordInfo.KIND_FLAG_EXACT_MATCH_WITH_INTENTIONAL_OMISSION) != 0;
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if (DEBUG) {
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final float normalizedScore = BinaryDictionaryUtils.calcNormalizedScore(
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consideredWord, suggestedWordInfo.mWord, suggestedWordInfo.mScore);
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Log.d(TAG, "consideredWord: " + consideredWord);
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Log.d(TAG, "top suggestion: " + suggestedWordInfo.mWord);
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Log.d(TAG, "suggestionScore: " + suggestedWordInfo.mScore);
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Log.d(TAG, "normalizedScore: " + normalizedScore);
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Log.d(TAG, "isExactMatch: " + isExactMatch);
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Log.d(TAG, "isExactMatchWithIntentionalOmission: "
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+ isExactMatchWithIntentionalOmission);
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}
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return isExactMatch || isExactMatchWithIntentionalOmission;
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}
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}
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return false;
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return false;
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}
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}
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@ -161,7 +163,7 @@ public class DistracterFilterUsingSuggestion implements DistracterFilter {
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/**
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/**
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* Determine whether a word is a distracter to words in dictionaries.
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* Determine whether a word is a distracter to words in dictionaries.
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*
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*
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* @param prevWordsInfo the information of previous words.
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* @param prevWordsInfo the information of previous words. Not used for now.
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* @param testedWord the word that will be tested to see whether it is a distracter to words
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* @param testedWord the word that will be tested to see whether it is a distracter to words
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* in dictionaries.
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* in dictionaries.
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* @param locale the locale of word.
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* @param locale the locale of word.
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@ -197,31 +199,20 @@ public class DistracterFilterUsingSuggestion implements DistracterFilter {
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final WordComposer composer = new WordComposer();
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final WordComposer composer = new WordComposer();
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final int[] codePoints = StringUtils.toCodePointArray(testedWord);
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final int[] codePoints = StringUtils.toCodePointArray(testedWord);
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final int[] coordinates = mKeyboard.getCoordinates(codePoints);
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final int[] coordinates = mKeyboard.getCoordinates(codePoints);
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composer.setComposingWord(codePoints, coordinates, prevWordsInfo);
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composer.setComposingWord(codePoints, coordinates, PrevWordsInfo.EMPTY_PREV_WORDS_INFO);
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final int trailingSingleQuotesCount = StringUtils.getTrailingSingleQuotesCount(testedWord);
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final int trailingSingleQuotesCount = StringUtils.getTrailingSingleQuotesCount(testedWord);
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final String consideredWord = trailingSingleQuotesCount > 0 ?
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final String consideredWord = trailingSingleQuotesCount > 0 ?
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testedWord.substring(0, testedWord.length() - trailingSingleQuotesCount) :
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testedWord.substring(0, testedWord.length() - trailingSingleQuotesCount) :
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testedWord;
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testedWord;
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final AsyncResultHolder<Boolean> holder = new AsyncResultHolder<>();
|
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final OnGetSuggestedWordsCallback callback = new OnGetSuggestedWordsCallback() {
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@Override
|
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public void onGetSuggestedWords(final SuggestedWords suggestedWords) {
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if (suggestedWords != null && suggestedWords.size() > 1) {
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// The suggestedWordInfo at 0 is the typed word. The 1st suggestion from
|
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// the decoder is at index 1.
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final SuggestedWordInfo firstSuggestion = suggestedWords.getInfo(1);
|
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final boolean hasStrongDistractor = suggestionExceedsDistracterThreshold(
|
|
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firstSuggestion, consideredWord, DISTRACTER_WORD_SCORE_THRESHOLD);
|
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holder.set(hasStrongDistractor);
|
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}
|
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}
|
|
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};
|
|
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mSuggest.getSuggestedWords(composer, prevWordsInfo, mKeyboard.getProximityInfo(),
|
|
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true /* blockOffensiveWords */, true /* isCorrectionEnbaled */,
|
|
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null /* additionalFeaturesOptions */, 0 /* sessionId */,
|
|
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SuggestedWords.NOT_A_SEQUENCE_NUMBER, callback);
|
|
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|
|
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return holder.get(false /* defaultValue */, Constants.GET_SUGGESTED_WORDS_TIMEOUT);
|
final SuggestionResults suggestionResults = mDictionaryFacilitator.getSuggestionResults(
|
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|
composer, PrevWordsInfo.EMPTY_PREV_WORDS_INFO, mKeyboard.getProximityInfo(),
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|
true /* blockOffensiveWords */, null /* additionalFeaturesOptions */,
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|
0 /* sessionId */, null /* rawSuggestions */);
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|
if (suggestionResults.isEmpty()) {
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|
return false;
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|
}
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return isDistracter(suggestionResults, consideredWord);
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}
|
}
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}
|
}
|
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|
|
|
@ -57,6 +57,7 @@ class Dictionary {
|
||||||
static const int KIND_MASK_FLAGS = 0xFFFFFF00; // Mask to get the flags
|
static const int KIND_MASK_FLAGS = 0xFFFFFF00; // Mask to get the flags
|
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static const int KIND_FLAG_POSSIBLY_OFFENSIVE = 0x80000000;
|
static const int KIND_FLAG_POSSIBLY_OFFENSIVE = 0x80000000;
|
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static const int KIND_FLAG_EXACT_MATCH = 0x40000000;
|
static const int KIND_FLAG_EXACT_MATCH = 0x40000000;
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|
static const int KIND_FLAG_EXACT_MATCH_WITH_INTENTIONAL_OMISSION = 0x20000000;
|
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|
|
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Dictionary(JNIEnv *env, DictionaryStructureWithBufferPolicy::StructurePolicyPtr
|
Dictionary(JNIEnv *env, DictionaryStructureWithBufferPolicy::StructurePolicyPtr
|
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dictionaryStructureWithBufferPolicy);
|
dictionaryStructureWithBufferPolicy);
|
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|
|
|
@ -31,4 +31,8 @@ const ErrorTypeUtils::ErrorType ErrorTypeUtils::NEW_WORD = 0x80;
|
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const ErrorTypeUtils::ErrorType ErrorTypeUtils::ERRORS_TREATED_AS_AN_EXACT_MATCH =
|
const ErrorTypeUtils::ErrorType ErrorTypeUtils::ERRORS_TREATED_AS_AN_EXACT_MATCH =
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NOT_AN_ERROR | MATCH_WITH_CASE_ERROR | MATCH_WITH_ACCENT_ERROR | MATCH_WITH_DIGRAPH;
|
NOT_AN_ERROR | MATCH_WITH_CASE_ERROR | MATCH_WITH_ACCENT_ERROR | MATCH_WITH_DIGRAPH;
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|
|
||||||
|
const ErrorTypeUtils::ErrorType
|
||||||
|
ErrorTypeUtils::ERRORS_TREATED_AS_AN_EXACT_MATCH_WITH_INTENTIONAL_OMISSION =
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|
ERRORS_TREATED_AS_AN_EXACT_MATCH | INTENTIONAL_OMISSION;
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||||||
|
|
||||||
} // namespace latinime
|
} // namespace latinime
|
||||||
|
|
|
@ -51,6 +51,11 @@ class ErrorTypeUtils {
|
||||||
return (containedErrorTypes & ~ERRORS_TREATED_AS_AN_EXACT_MATCH) == 0;
|
return (containedErrorTypes & ~ERRORS_TREATED_AS_AN_EXACT_MATCH) == 0;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
static bool isExactMatchWithIntentionalOmission(const ErrorType containedErrorTypes) {
|
||||||
|
return (containedErrorTypes
|
||||||
|
& ~ERRORS_TREATED_AS_AN_EXACT_MATCH_WITH_INTENTIONAL_OMISSION) == 0;
|
||||||
|
}
|
||||||
|
|
||||||
static bool isEditCorrectionError(const ErrorType errorType) {
|
static bool isEditCorrectionError(const ErrorType errorType) {
|
||||||
return (errorType & EDIT_CORRECTION) != 0;
|
return (errorType & EDIT_CORRECTION) != 0;
|
||||||
}
|
}
|
||||||
|
@ -67,6 +72,7 @@ class ErrorTypeUtils {
|
||||||
DISALLOW_IMPLICIT_CONSTRUCTORS(ErrorTypeUtils);
|
DISALLOW_IMPLICIT_CONSTRUCTORS(ErrorTypeUtils);
|
||||||
|
|
||||||
static const ErrorType ERRORS_TREATED_AS_AN_EXACT_MATCH;
|
static const ErrorType ERRORS_TREATED_AS_AN_EXACT_MATCH;
|
||||||
|
static const ErrorType ERRORS_TREATED_AS_AN_EXACT_MATCH_WITH_INTENTIONAL_OMISSION;
|
||||||
};
|
};
|
||||||
} // namespace latinime
|
} // namespace latinime
|
||||||
#endif // LATINIME_ERROR_TYPE_UTILS_H
|
#endif // LATINIME_ERROR_TYPE_UTILS_H
|
||||||
|
|
|
@ -89,6 +89,9 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
|
||||||
terminalDicNode->getProbability(), NOT_A_PROBABILITY) <= 0;
|
terminalDicNode->getProbability(), NOT_A_PROBABILITY) <= 0;
|
||||||
const bool isExactMatch =
|
const bool isExactMatch =
|
||||||
ErrorTypeUtils::isExactMatch(terminalDicNode->getContainedErrorTypes());
|
ErrorTypeUtils::isExactMatch(terminalDicNode->getContainedErrorTypes());
|
||||||
|
const bool isExactMatchWithIntentionalOmission =
|
||||||
|
ErrorTypeUtils::isExactMatchWithIntentionalOmission(
|
||||||
|
terminalDicNode->getContainedErrorTypes());
|
||||||
const bool isFirstCharUppercase = terminalDicNode->isFirstCharUppercase();
|
const bool isFirstCharUppercase = terminalDicNode->isFirstCharUppercase();
|
||||||
// Heuristic: We exclude probability=0 first-char-uppercase words from exact match.
|
// Heuristic: We exclude probability=0 first-char-uppercase words from exact match.
|
||||||
// (e.g. "AMD" and "and")
|
// (e.g. "AMD" and "and")
|
||||||
|
@ -96,7 +99,9 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
|
||||||
&& !(isPossiblyOffensiveWord && isFirstCharUppercase);
|
&& !(isPossiblyOffensiveWord && isFirstCharUppercase);
|
||||||
const int outputTypeFlags =
|
const int outputTypeFlags =
|
||||||
(isPossiblyOffensiveWord ? Dictionary::KIND_FLAG_POSSIBLY_OFFENSIVE : 0)
|
(isPossiblyOffensiveWord ? Dictionary::KIND_FLAG_POSSIBLY_OFFENSIVE : 0)
|
||||||
| ((isSafeExactMatch && boostExactMatches) ? Dictionary::KIND_FLAG_EXACT_MATCH : 0);
|
| ((isSafeExactMatch && boostExactMatches) ? Dictionary::KIND_FLAG_EXACT_MATCH : 0)
|
||||||
|
| (isExactMatchWithIntentionalOmission ?
|
||||||
|
Dictionary::KIND_FLAG_EXACT_MATCH_WITH_INTENTIONAL_OMISSION : 0);
|
||||||
|
|
||||||
// Entries that are blacklisted or do not represent a word should not be output.
|
// Entries that are blacklisted or do not represent a word should not be output.
|
||||||
const bool isValidWord = !terminalDicNode->isBlacklistedOrNotAWord();
|
const bool isValidWord = !terminalDicNode->isBlacklistedOrNotAWord();
|
||||||
|
|
|
@ -40,34 +40,31 @@ public class DistracterFilterTest extends InputTestsBase {
|
||||||
final PrevWordsInfo EMPTY_PREV_WORDS_INFO = PrevWordsInfo.EMPTY_PREV_WORDS_INFO;
|
final PrevWordsInfo EMPTY_PREV_WORDS_INFO = PrevWordsInfo.EMPTY_PREV_WORDS_INFO;
|
||||||
|
|
||||||
final Locale localeEnUs = new Locale("en", "US");
|
final Locale localeEnUs = new Locale("en", "US");
|
||||||
String typedWord = "alot";
|
String typedWord;
|
||||||
// For this test case, we consider "alot" is a distracter to "a lot".
|
|
||||||
|
typedWord = "google";
|
||||||
|
// For this test case, we consider "google" is a distracter to "Google".
|
||||||
assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
|
assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
|
||||||
EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
|
EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
|
||||||
|
|
||||||
typedWord = "mot";
|
typedWord = "Bill";
|
||||||
// For this test case, we consider "mot" is a distracter to "not".
|
// For this test case, we consider "Bill" is a distracter to "bill".
|
||||||
assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
|
assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
|
||||||
EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
|
EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
|
||||||
|
|
||||||
typedWord = "wierd";
|
typedWord = "nOt";
|
||||||
// For this test case, we consider "wierd" is a distracter to "weird".
|
// For this test case, we consider "nOt" is a distracter to "not".
|
||||||
assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
|
assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
|
||||||
EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
|
EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
|
||||||
|
|
||||||
typedWord = "hoe";
|
typedWord = "were";
|
||||||
// For this test case, we consider "hoe" is a distracter to "how".
|
// For this test case, we consider "were" is a distracter to "we're".
|
||||||
assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
|
|
||||||
EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
|
|
||||||
|
|
||||||
typedWord = "nit";
|
|
||||||
// For this test case, we consider "nit" is a distracter to "not".
|
|
||||||
assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
|
assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
|
||||||
EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
|
EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
|
||||||
|
|
||||||
typedWord = "ill";
|
typedWord = "ill";
|
||||||
// For this test case, we consider "ill" is a distracter to "I'll".
|
// For this test case, we consider "ill" is not a distracter to any word in dictionaries.
|
||||||
assertTrue(mDistracterFilter.isDistracterToWordsInDictionaries(
|
assertFalse(mDistracterFilter.isDistracterToWordsInDictionaries(
|
||||||
EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
|
EMPTY_PREV_WORDS_INFO, typedWord, localeEnUs));
|
||||||
|
|
||||||
typedWord = "asdfd";
|
typedWord = "asdfd";
|
||||||
|
|
Loading…
Reference in New Issue