nyancrimew
/
LatinIME
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Stop uselessly remembering a value (A2) 

The value is only used in debug mode, and it can be recomputed
at the time.
This change does not impact the logic. There is however a side
effect: in debug mode, the normalized score will be displayed
also when the word comes out of the whitelist or is a valid word.
It's actually a good thing.

The end purpose is to make all methods in AutoCorrection static.

Change-Id: I1642b1fdfa6ae62b8aa2fed94a8a26ff4a7e4d0e
main
Jean Chalard 2012-03-08 20:35:47 +09:00
parent ec0fca8a8b
commit 719f92fc77
2 changed files with 8 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
java/src/com/android/inputmethod/latin/AutoCorrection.java
View File

@ -118,15 +118,15 @@ public class AutoCorrection {
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.
mNormalizedScore = BinaryDictionary.calcNormalizedScore(
final double normalizedScore = BinaryDictionary.calcNormalizedScore(
typedWord.toString(), autoCorrectionSuggestion.toString(),
autoCorrectionSuggestionScore);
if (DBG) {
Log.d(TAG, "Normalized " + typedWord + "," + autoCorrectionSuggestion + ","
+ autoCorrectionSuggestionScore + ", " + mNormalizedScore
+ autoCorrectionSuggestionScore + ", " + normalizedScore
+ "(" + autoCorrectionThreshold + ")");
}
if (mNormalizedScore >= autoCorrectionThreshold) {
if (normalizedScore >= autoCorrectionThreshold) {
if (DBG) {
Log.d(TAG, "Auto corrected by S-threshold.");
}

6
java/src/com/android/inputmethod/latin/Suggest.java
View File

@ -386,7 +386,11 @@ public class Suggest implements Dictionary.WordCallback {
Utils.removeDupes(mSuggestions);
if (DBG) {
double normalizedScore = mAutoCorrection.getNormalizedScore();
final CharSequence autoCorrectionSuggestion = mSuggestions.get(0);
final int autoCorrectionSuggestionScore = mScores[0];
double normalizedScore = BinaryDictionary.calcNormalizedScore(
typedWord.toString(), autoCorrectionSuggestion.toString(),
autoCorrectionSuggestionScore);
ArrayList<SuggestedWords.SuggestedWordInfo> scoreInfoList =
new ArrayList<SuggestedWords.SuggestedWordInfo>();
scoreInfoList.add(new SuggestedWords.SuggestedWordInfo("+", false));