Merge "Rename a parameter (B6)"

This commit is contained in:
Jean Chalard 2012-03-08 22:23:33 -08:00 committed by Android (Google) Code Review
commit 2d82757fc6

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