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Merge "Rename a parameter (B6)"
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2d82757fc6
@ -32,15 +32,15 @@ public class AutoCorrection {
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public static CharSequence computeAutoCorrectionWord(Map<String, Dictionary> dictionaries,
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WordComposer wordComposer, ArrayList<CharSequence> suggestions, int[] sortedScores,
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CharSequence typedWord, double autoCorrectionThreshold,
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CharSequence consideredWord, double autoCorrectionThreshold,
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CharSequence whitelistedWord) {
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if (hasAutoCorrectionForWhitelistedWord(whitelistedWord)) {
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return whitelistedWord;
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} else if (hasAutoCorrectionForTypedWord(
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dictionaries, wordComposer, suggestions, typedWord)) {
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return typedWord;
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} else if (hasAutoCorrectionForConsideredWord(
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dictionaries, wordComposer, suggestions, consideredWord)) {
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return consideredWord;
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} else if (hasAutoCorrectionForBinaryDictionary(wordComposer, suggestions,
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sortedScores, typedWord, autoCorrectionThreshold)) {
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sortedScores, consideredWord, autoCorrectionThreshold)) {
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return suggestions.get(0);
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}
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return null;
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@ -87,28 +87,28 @@ public class AutoCorrection {
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return whiteListedWord != null;
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}
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private static boolean hasAutoCorrectionForTypedWord(Map<String, Dictionary> dictionaries,
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private static boolean hasAutoCorrectionForConsideredWord(Map<String, Dictionary> dictionaries,
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WordComposer wordComposer, ArrayList<CharSequence> suggestions,
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CharSequence typedWord) {
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if (TextUtils.isEmpty(typedWord)) return false;
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CharSequence consideredWord) {
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if (TextUtils.isEmpty(consideredWord)) return false;
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return wordComposer.size() > 1 && suggestions.size() > 0
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&& !allowsToBeAutoCorrected(dictionaries, typedWord, false);
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&& !allowsToBeAutoCorrected(dictionaries, consideredWord, false);
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}
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private static boolean hasAutoCorrectionForBinaryDictionary(WordComposer wordComposer,
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ArrayList<CharSequence> suggestions, int[] sortedScores,
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CharSequence typedWord, double autoCorrectionThreshold) {
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CharSequence consideredWord, double autoCorrectionThreshold) {
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if (wordComposer.size() > 1
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&& typedWord != null && suggestions.size() > 0 && sortedScores.length > 0) {
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&& consideredWord != null && suggestions.size() > 0 && sortedScores.length > 0) {
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final CharSequence autoCorrectionSuggestion = suggestions.get(0);
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final int autoCorrectionSuggestionScore = sortedScores[0];
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// TODO: when the normalized score of the first suggestion is nearly equals to
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// the normalized score of the second suggestion, behave less aggressive.
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final double normalizedScore = BinaryDictionary.calcNormalizedScore(
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typedWord.toString(), autoCorrectionSuggestion.toString(),
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consideredWord.toString(), autoCorrectionSuggestion.toString(),
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autoCorrectionSuggestionScore);
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if (DBG) {
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Log.d(TAG, "Normalized " + typedWord + "," + autoCorrectionSuggestion + ","
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Log.d(TAG, "Normalized " + consideredWord + "," + autoCorrectionSuggestion + ","
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+ autoCorrectionSuggestionScore + ", " + normalizedScore
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+ "(" + autoCorrectionThreshold + ")");
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}
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