Merge "[ZF1] Check profanity in Java rather than in native"
commit
1919072cfc
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@ -147,10 +147,20 @@ public final class BinaryDictionary extends Dictionary {
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++len;
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}
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if (len > 0) {
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final int score = SuggestedWordInfo.KIND_WHITELIST == mOutputTypes[j]
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final int flags = mOutputTypes[j] & SuggestedWordInfo.KIND_MASK_FLAGS;
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if (0 != (flags & SuggestedWordInfo.KIND_FLAG_POSSIBLY_OFFENSIVE)
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&& 0 == (flags & SuggestedWordInfo.KIND_FLAG_EXACT_MATCH)) {
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// If the word is possibly offensive, we don't output it unless it's also
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// an exact match.
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continue;
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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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score, mOutputTypes[j], mDictType));
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score, kind, mDictType));
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}
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}
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return suggestions;
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@ -122,6 +122,7 @@ public final class SuggestedWords {
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public static final class SuggestedWordInfo {
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public static final int MAX_SCORE = Integer.MAX_VALUE;
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public static final int KIND_MASK_KIND = 0xFF; // Mask to get only the kind
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public static final int KIND_TYPED = 0; // What user typed
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public static final int KIND_CORRECTION = 1; // Simple correction/suggestion
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public static final int KIND_COMPLETION = 2; // Completion (suggestion with appended chars)
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@ -132,6 +133,11 @@ public final class SuggestedWords {
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public static final int KIND_SHORTCUT = 7; // A shortcut
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public static final int KIND_PREDICTION = 8; // A prediction (== a suggestion with no input)
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public static final int KIND_RESUMED = 9; // A resumed suggestion (comes from a span)
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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_EXACT_MATCH = 0x40000000;
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public final String mWord;
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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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@ -31,6 +31,7 @@ class UnigramDictionary;
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class Dictionary {
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public:
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// Taken from SuggestedWords.java
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static const int KIND_MASK_KIND = 0xFF; // Mask to get only the kind
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static const int KIND_TYPED = 0; // What user typed
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static const int KIND_CORRECTION = 1; // Simple correction/suggestion
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static const int KIND_COMPLETION = 2; // Completion (suggestion with appended chars)
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@ -41,6 +42,10 @@ class Dictionary {
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static const int KIND_SHORTCUT = 7; // A shortcut
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static const int KIND_PREDICTION = 8; // A prediction (== a suggestion with no input)
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static const int KIND_MASK_FLAGS = 0xFFFFFF00; // Mask to get the flags
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static const int KIND_FLAG_POSSIBLY_OFFENSIVE = 0x80000000;
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static const int KIND_FLAG_EXACT_MATCH = 0x40000000;
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Dictionary(void *dict, int dictSize, int mmapFd, int dictBufAdjust);
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int getSuggestions(ProximityInfo *proximityInfo, void *traverseSession, int *xcoordinates,
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@ -161,12 +161,15 @@ int Suggest::outputSuggestions(DicTraverseSession *traverseSession, int *frequen
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+ doubleLetterCost;
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const TerminalAttributes terminalAttributes(traverseSession->getOffsetDict(),
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terminalDicNode->getFlags(), terminalDicNode->getAttributesPos());
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const int originalTerminalProbability = terminalDicNode->getProbability();
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const bool isPossiblyOffensiveWord = terminalDicNode->getProbability() <= 0;
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const bool isExactMatch = terminalDicNode->isExactMatch();
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const int outputTypeFlags =
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isPossiblyOffensiveWord ? Dictionary::KIND_FLAG_POSSIBLY_OFFENSIVE : 0
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| isExactMatch ? Dictionary::KIND_FLAG_EXACT_MATCH : 0;
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// Entries that are blacklisted or do not represent a word should not be output.
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const bool isValidWord = !terminalAttributes.isBlacklistedOrNotAWord();
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// Do not suggest words with a 0 probability, or entries that are blacklisted or do not
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// represent a word. However, we should still submit their shortcuts if any.
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const bool isValidWord =
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originalTerminalProbability > 0 && !terminalAttributes.isBlacklistedOrNotAWord();
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// Increase output score of top typing suggestion to ensure autocorrection.
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// TODO: Better integration with java side autocorrection logic.
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// Force autocorrection for obvious long multi-word suggestions.
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@ -188,10 +191,9 @@ int Suggest::outputSuggestions(DicTraverseSession *traverseSession, int *frequen
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}
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}
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// Do not suggest words with a 0 probability, or entries that are blacklisted or do not
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// represent a word. However, we should still submit their shortcuts if any.
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// Don't output invalid words. However, we still need to submit their shortcuts if any.
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if (isValidWord) {
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outputTypes[outputWordIndex] = Dictionary::KIND_CORRECTION;
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outputTypes[outputWordIndex] = Dictionary::KIND_CORRECTION | outputTypeFlags;
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frequencies[outputWordIndex] = finalScore;
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// Populate the outputChars array with the suggested word.
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const int startIndex = outputWordIndex * MAX_WORD_LENGTH;
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