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-rw-r--r--java/src/com/android/inputmethod/latin/Suggest.java114
1 files changed, 49 insertions, 65 deletions
diff --git a/java/src/com/android/inputmethod/latin/Suggest.java b/java/src/com/android/inputmethod/latin/Suggest.java
index ee6930d93..95a2d631b 100644
--- a/java/src/com/android/inputmethod/latin/Suggest.java
+++ b/java/src/com/android/inputmethod/latin/Suggest.java
@@ -67,6 +67,8 @@ public class Suggest implements Dictionary.WordCallback {
private static final boolean DBG = LatinImeLogger.sDBG;
+ private AutoCorrection mAutoCorrection;
+
private BinaryDictionary mMainDict;
private Dictionary mUserDictionary;
@@ -90,7 +92,6 @@ public class Suggest implements Dictionary.WordCallback {
private ArrayList<CharSequence> mSuggestions = new ArrayList<CharSequence>();
ArrayList<CharSequence> mBigramSuggestions = new ArrayList<CharSequence>();
private ArrayList<CharSequence> mStringPool = new ArrayList<CharSequence>();
- private boolean mHasAutoCorrection;
private String mLowerOriginalWord;
// TODO: Remove these member variables by passing more context to addWord() callback method
@@ -101,12 +102,16 @@ public class Suggest implements Dictionary.WordCallback {
public Suggest(Context context, int dictionaryResId) {
mMainDict = BinaryDictionary.initDictionary(context, dictionaryResId, DIC_MAIN);
- initPool();
+ init();
}
- // For unit test
- /* package */ Suggest(File dictionary, long startOffset, long length) {
+ /* package for test */ Suggest(File dictionary, long startOffset, long length) {
mMainDict = BinaryDictionary.initDictionary(dictionary, startOffset, length, DIC_MAIN);
+ init();
+ }
+
+ private void init() {
+ mAutoCorrection = new AutoCorrection();
initPool();
}
@@ -205,7 +210,7 @@ public class Suggest implements Dictionary.WordCallback {
public SuggestedWords.Builder getSuggestedWordBuilder(View view, WordComposer wordComposer,
CharSequence prevWordForBigram) {
LatinImeLogger.onStartSuggestion(prevWordForBigram);
- mHasAutoCorrection = false;
+ mAutoCorrection.init();
mIsFirstCharCapitalized = wordComposer.isFirstCharCapitalized();
mIsAllUpperCase = wordComposer.isAllUpperCase();
collectGarbage(mSuggestions, mPrefMaxSuggestions);
@@ -224,7 +229,6 @@ public class Suggest implements Dictionary.WordCallback {
mLowerOriginalWord = "";
}
- double normalizedScore = Integer.MIN_VALUE;
if (wordComposer.size() == 1 && (mCorrectionMode == CORRECTION_FULL_BIGRAM
|| mCorrectionMode == CORRECTION_BASIC)) {
// At first character typed, search only the bigrams
@@ -273,86 +277,67 @@ public class Suggest implements Dictionary.WordCallback {
if (mContactsDictionary != null) {
mContactsDictionary.getWords(wordComposer, this);
}
-
- if (mSuggestions.size() > 0 && isValidWord(typedWord)
- && (mCorrectionMode == CORRECTION_FULL
- || mCorrectionMode == CORRECTION_FULL_BIGRAM)) {
- if (DBG) {
- Log.d(TAG, "Auto corrected by CORRECTION_FULL.");
- }
- mHasAutoCorrection = true;
- }
}
if (mMainDict != null) mMainDict.getWords(wordComposer, this);
- if ((mCorrectionMode == CORRECTION_FULL || mCorrectionMode == CORRECTION_FULL_BIGRAM)
- && mSuggestions.size() > 0 && mPriorities.length > 0) {
- // TODO: when the normalized score of the first suggestion is nearly equals to
- // the normalized score of the second suggestion, behave less aggressive.
- normalizedScore = Utils.calcNormalizedScore(
- typedWord, mSuggestions.get(0), mPriorities[0]);
- if (DBG) {
- Log.d(TAG, "Normalized " + typedWord + "," + mSuggestions.get(0) + ","
- + mPriorities[0] + ", " + normalizedScore
- + "(" + mAutoCorrectionThreshold + ")");
- }
- if (normalizedScore >= mAutoCorrectionThreshold) {
- if (DBG) {
- Log.d(TAG, "Auto corrected by S-threshold.");
- }
- mHasAutoCorrection = true;
- }
- }
}
+ CharSequence autoText = null;
+ final String typedWordString = typedWord == null ? null : typedWord.toString();
if (typedWord != null) {
- mSuggestions.add(0, typedWord.toString());
- }
- if (mQuickFixesEnabled) {
- int i = 0;
- int max = 6;
- // Don't autotext the suggestions from the dictionaries
- if (mCorrectionMode == CORRECTION_BASIC) max = 1;
- while (i < mSuggestions.size() && i < max) {
- String suggestedWord = mSuggestions.get(i).toString().toLowerCase();
- CharSequence autoText =
- AutoText.get(suggestedWord, 0, suggestedWord.length(), view);
+ // Apply quick fix only for the typed word.
+ if (mQuickFixesEnabled) {
+ final String lowerCaseTypedWord = typedWordString.toLowerCase();
+ CharSequence tempAutoText =
+ AutoText.get(lowerCaseTypedWord, 0, lowerCaseTypedWord.length(), view);
// Is there an AutoText (also known as Quick Fixes) correction?
- boolean canAdd = autoText != null;
// Capitalize as needed
- final int autoTextLength = autoText != null ? autoText.length() : 0;
- if (autoTextLength > 0 && (mIsAllUpperCase || mIsFirstCharCapitalized)) {
- int poolSize = mStringPool.size();
- StringBuilder sb = poolSize > 0 ? (StringBuilder) mStringPool.remove(
- poolSize - 1) : new StringBuilder(getApproxMaxWordLength());
+ if (!TextUtils.isEmpty(tempAutoText)
+ && (mIsAllUpperCase || mIsFirstCharCapitalized)) {
+ final int tempAutoTextLength = tempAutoText.length();
+ final int poolSize = mStringPool.size();
+ final StringBuilder sb =
+ poolSize > 0 ? (StringBuilder) mStringPool.remove(poolSize - 1)
+ : new StringBuilder(getApproxMaxWordLength());
sb.setLength(0);
if (mIsAllUpperCase) {
- sb.append(autoText.toString().toUpperCase());
+ sb.append(tempAutoText.toString().toUpperCase());
} else if (mIsFirstCharCapitalized) {
- sb.append(Character.toUpperCase(autoText.charAt(0)));
- if (autoTextLength > 1) {
- sb.append(autoText.subSequence(1, autoTextLength));
+ sb.append(Character.toUpperCase(tempAutoText.charAt(0)));
+ if (tempAutoTextLength > 1) {
+ sb.append(tempAutoText.subSequence(1, tempAutoTextLength));
}
}
- autoText = sb.toString();
+ tempAutoText = sb.toString();
}
+ boolean canAdd = tempAutoText != null;
// Is that correction already the current prediction (or original word)?
- canAdd &= !TextUtils.equals(autoText, mSuggestions.get(i));
+ canAdd &= !TextUtils.equals(tempAutoText, typedWord);
// Is that correction already the next predicted word?
- if (canAdd && i + 1 < mSuggestions.size() && mCorrectionMode != CORRECTION_BASIC) {
- canAdd &= !TextUtils.equals(autoText, mSuggestions.get(i + 1));
+ if (canAdd && mSuggestions.size() > 0 && mCorrectionMode != CORRECTION_BASIC) {
+ canAdd &= !TextUtils.equals(tempAutoText, mSuggestions.get(0));
}
if (canAdd) {
if (DBG) {
Log.d(TAG, "Auto corrected by AUTOTEXT.");
}
- mHasAutoCorrection = true;
- mSuggestions.add(i + 1, autoText);
- i++;
+ autoText = tempAutoText;
}
- i++;
}
}
+
+ mAutoCorrection.updateAutoCorrectionStatus(this, wordComposer, mSuggestions, mPriorities,
+ typedWord, mAutoCorrectionThreshold, mCorrectionMode, autoText);
+
+ if (autoText != null) {
+ mSuggestions.add(0, autoText);
+ }
+
+ if (typedWord != null) {
+ mSuggestions.add(0, typedWordString);
+ }
removeDupes();
+
if (DBG) {
+ double normalizedScore = mAutoCorrection.getNormalizedScore();
ArrayList<SuggestedWords.SuggestedWordInfo> frequencyInfoList =
new ArrayList<SuggestedWords.SuggestedWordInfo>();
frequencyInfoList.add(new SuggestedWords.SuggestedWordInfo("+", false));
@@ -373,9 +358,8 @@ public class Suggest implements Dictionary.WordCallback {
frequencyInfoList.add(new SuggestedWords.SuggestedWordInfo("--", false));
}
return new SuggestedWords.Builder().addWords(mSuggestions, frequencyInfoList);
- } else {
- return new SuggestedWords.Builder().addWords(mSuggestions, null);
}
+ return new SuggestedWords.Builder().addWords(mSuggestions, null);
}
private void removeDupes() {
@@ -406,7 +390,7 @@ public class Suggest implements Dictionary.WordCallback {
}
public boolean hasAutoCorrection() {
- return mHasAutoCorrection;
+ return mAutoCorrection.hasAutoCorrection();
}
private static boolean compareCaseInsensitive(final String lowerOriginalWord,
generated by cgit v1.2.3-83-g751a (git 2.47.1) at 2025-05-06 09:01:51 +0000