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[CS6] Cut out methods to clarify what we are doing
Bug: 13238601 Change-Id: I99cc62e91b1e89130358fded572987023d919507
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@ -87,6 +87,40 @@ public final class Suggest {
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}
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}
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private static ArrayList<SuggestedWordInfo> getTransformedSuggestedWordInfoList(
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final WordComposer wordComposer, final SuggestionResults results,
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final int trailingSingleQuotesCount) {
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final boolean shouldMakeSuggestionsAllUpperCase = wordComposer.isAllUpperCase()
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&& !wordComposer.isResumed();
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final boolean isOnlyFirstCharCapitalized =
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wordComposer.isOrWillBeOnlyFirstCharCapitalized();
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final ArrayList<SuggestedWordInfo> suggestionsContainer = new ArrayList<>(results);
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final int suggestionsCount = suggestionsContainer.size();
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if (isOnlyFirstCharCapitalized || shouldMakeSuggestionsAllUpperCase
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|| 0 != trailingSingleQuotesCount) {
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for (int i = 0; i < suggestionsCount; ++i) {
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final SuggestedWordInfo wordInfo = suggestionsContainer.get(i);
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final SuggestedWordInfo transformedWordInfo = getTransformedSuggestedWordInfo(
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wordInfo, results.mLocale, shouldMakeSuggestionsAllUpperCase,
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isOnlyFirstCharCapitalized, trailingSingleQuotesCount);
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suggestionsContainer.set(i, transformedWordInfo);
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}
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}
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return suggestionsContainer;
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}
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private static String getWhitelistedWordOrNull(final ArrayList<SuggestedWordInfo> suggestions) {
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if (suggestions.isEmpty()) {
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return null;
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}
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final SuggestedWordInfo firstSuggestedWordInfo = suggestions.get(0);
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if (!firstSuggestedWordInfo.isKindOf(SuggestedWordInfo.KIND_WHITELIST)) {
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return null;
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}
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return firstSuggestedWordInfo.mWord;
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}
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// Retrieves suggestions for the typing input
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// and calls the callback function with the suggestions.
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private void getSuggestedWordsForTypingInput(final WordComposer wordComposer,
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@ -103,42 +137,14 @@ public final class Suggest {
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final SuggestionResults suggestionResults = mDictionaryFacilitator.getSuggestionResults(
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wordComposer, prevWordsInfo, proximityInfo, blockOffensiveWords,
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additionalFeaturesOptions, SESSION_TYPING);
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final boolean isPrediction = !wordComposer.isComposingWord();
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final boolean shouldMakeSuggestionsAllUpperCase = wordComposer.isAllUpperCase()
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&& !wordComposer.isResumed();
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final boolean isOnlyFirstCharCapitalized =
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wordComposer.isOrWillBeOnlyFirstCharCapitalized();
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final ArrayList<SuggestedWordInfo> suggestionsContainer =
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new ArrayList<>(suggestionResults);
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final int suggestionsCount = suggestionsContainer.size();
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if (isOnlyFirstCharCapitalized || shouldMakeSuggestionsAllUpperCase
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|| 0 != trailingSingleQuotesCount) {
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for (int i = 0; i < suggestionsCount; ++i) {
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final SuggestedWordInfo wordInfo = suggestionsContainer.get(i);
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final SuggestedWordInfo transformedWordInfo = getTransformedSuggestedWordInfo(
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wordInfo, suggestionResults.mLocale, shouldMakeSuggestionsAllUpperCase,
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isOnlyFirstCharCapitalized, trailingSingleQuotesCount);
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suggestionsContainer.set(i, transformedWordInfo);
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}
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}
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getTransformedSuggestedWordInfoList(wordComposer, suggestionResults,
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trailingSingleQuotesCount);
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final boolean didRemoveTypedWord =
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SuggestedWordInfo.removeDups(typedWord, suggestionsContainer);
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SuggestedWordInfo.removeDups(wordComposer.getTypedWord(), suggestionsContainer);
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final SuggestedWordInfo firstSuggestedWordInfo;
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final String whitelistedWord;
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if (suggestionsContainer.isEmpty()) {
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firstSuggestedWordInfo = null;
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whitelistedWord = null;
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} else {
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firstSuggestedWordInfo = suggestionsContainer.get(0);
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if (!firstSuggestedWordInfo.isKindOf(SuggestedWordInfo.KIND_WHITELIST)) {
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whitelistedWord = null;
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} else {
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whitelistedWord = firstSuggestedWordInfo.mWord;
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}
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}
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final String whitelistedWord = getWhitelistedWordOrNull(suggestionsContainer);
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final boolean resultsArePredictions = !wordComposer.isComposingWord();
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// We allow auto-correction if we have a whitelisted word, or if the word had more than
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// one char and was not suggested.
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@ -151,11 +157,11 @@ public final class Suggest {
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// same time, it feels wrong that the SuggestedWord object includes information about
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// the current settings. It may also be useful to know, when the setting is off, whether
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// the word *would* have been auto-corrected.
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if (!isCorrectionEnabled || !allowsToBeAutoCorrected || isPrediction
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|| null == firstSuggestedWordInfo || wordComposer.hasDigits()
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if (!isCorrectionEnabled || !allowsToBeAutoCorrected || resultsArePredictions
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|| suggestionResults.isEmpty() || wordComposer.hasDigits()
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|| wordComposer.isMostlyCaps() || wordComposer.isResumed()
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|| !mDictionaryFacilitator.hasInitializedMainDictionary()
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|| firstSuggestedWordInfo.isKindOf(SuggestedWordInfo.KIND_SHORTCUT)) {
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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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// 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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@ -167,7 +173,7 @@ public final class Suggest {
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hasAutoCorrection = false;
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} else {
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hasAutoCorrection = AutoCorrectionUtils.suggestionExceedsAutoCorrectionThreshold(
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firstSuggestedWordInfo, consideredWord, mAutoCorrectionThreshold);
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suggestionResults.first(), consideredWord, mAutoCorrectionThreshold);
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}
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if (!TextUtils.isEmpty(typedWord)) {
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@ -190,9 +196,9 @@ public final class Suggest {
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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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!isPrediction && !allowsToBeAutoCorrected /* typedWordValid */,
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!resultsArePredictions && !allowsToBeAutoCorrected /* typedWordValid */,
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hasAutoCorrection /* willAutoCorrect */,
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false /* isObsoleteSuggestions */, isPrediction, sequenceNumber));
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false /* isObsoleteSuggestions */, resultsArePredictions, sequenceNumber));
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}
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// Retrieves suggestions for the batch input
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