Fix auto correction threshold values array reference
This change also removes unused argument from Suggest.getSuggestions(). Change-Id: I512f8695d22898bb906e136a66e0ee6b521cd1d1main
parent
4ca16dbd65
commit
9ecad8c2e8
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@ -32,14 +32,14 @@
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<integer name="config_long_press_key_timeout">400</integer>
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<integer name="config_long_press_shift_key_timeout">1200</integer>
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<integer name="config_multi_tap_key_timeout">800</integer>
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<string-array name="auto_complete_threshold_values">
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<!-- Off, When auto completing setting is Off, this value is not used. -->
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<string-array name="auto_correction_threshold_values">
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<!-- Off, When auto correction setting is Off, this value is not used. -->
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<item></item>
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<!-- Modest : Suggestion whose normalized score is greater than this value
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will be subject to auto-completion. -->
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will be subject to auto-correction. -->
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<item>0.22</item>
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<!-- Aggressive : Suggestion whose normalized score is greater than this value
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will be subject to auto-completion. -->
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will be subject to auto-correction. -->
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<item>0</item>
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</string-array>
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</resources>
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@ -65,13 +65,13 @@
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<item>@string/prefs_suggestion_visibility_hide_name</item>
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</string-array>
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<string name="auto_correction_threshold_mode_value_off">0</string>
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<string name="auto_correction_threshold_mode_value_modest">1</string>
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<string name="auto_correction_threshold_mode_value_aggeressive">2</string>
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<string-array name="auto_correction_threshold_mode_values">
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<item>@string/auto_correction_threshold_mode_value_off</item>
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<item>@string/auto_correction_threshold_mode_value_modest</item>
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<item>@string/auto_correction_threshold_mode_value_aggeressive</item>
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<string name="auto_correction_threshold_mode_index_off">0</string>
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<string name="auto_correction_threshold_mode_index_modest">1</string>
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<string name="auto_correction_threshold_mode_index_aggeressive">2</string>
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<string-array name="auto_correction_threshold_mode_indexes">
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<item>@string/auto_correction_threshold_mode_index_off</item>
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<item>@string/auto_correction_threshold_mode_index_modest</item>
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<item>@string/auto_correction_threshold_mode_index_aggeressive</item>
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</string-array>
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<string-array name="auto_correction_threshold_modes">
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<item>@string/auto_correction_threshold_mode_off</item>
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@ -106,9 +106,9 @@
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android:title="@string/auto_correction"
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android:summary="@string/auto_correction_summary"
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android:persistent="true"
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android:entryValues="@array/auto_correction_threshold_mode_values"
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android:entryValues="@array/auto_correction_threshold_mode_indexes"
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android:entries="@array/auto_correction_threshold_modes"
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android:defaultValue="@string/auto_correction_threshold_mode_value_modest"
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android:defaultValue="@string/auto_correction_threshold_mode_index_modest"
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/>
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<CheckBoxPreference
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@ -1438,8 +1438,10 @@ public class LatinIME extends InputMethodService implements KeyboardActionListen
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if (mCandidateView != null) {
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mCandidateView.setSuggestions(words);
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if (mCandidateView.isConfigCandidateHighlightFontColorEnabled())
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mKeyboardSwitcher.onAutoCorrectionStateChanged(words.hasAutoCorrectionWord());
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if (mCandidateView.isConfigCandidateHighlightFontColorEnabled()) {
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mKeyboardSwitcher.onAutoCorrectionStateChanged(
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words.hasWordAboveAutoCorrectionScoreThreshold());
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}
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}
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}
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@ -1460,8 +1462,7 @@ public class LatinIME extends InputMethodService implements KeyboardActionListen
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}
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private SuggestedWords.Builder getTypedSuggestions(WordComposer word) {
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return mSuggest.getSuggestedWordBuilder(
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mKeyboardSwitcher.getInputView(), word, false, null);
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return mSuggest.getSuggestedWordBuilder(mKeyboardSwitcher.getInputView(), word, null);
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}
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private void showCorrections(WordAlternatives alternatives) {
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@ -1477,9 +1478,7 @@ public class LatinIME extends InputMethodService implements KeyboardActionListen
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CharSequence prevWord = EditingUtils.getPreviousWord(getCurrentInputConnection(),
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mWordSeparators);
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SuggestedWords.Builder builder = mSuggest.getSuggestedWordBuilder(
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mKeyboardSwitcher.getInputView(), word, false, prevWord);
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// long stopTime = System.currentTimeMillis(); // TIME MEASUREMENT!
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// Log.d("LatinIME","Suggest Total Time - " + (stopTime - startTime));
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mKeyboardSwitcher.getInputView(), word, prevWord);
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int[] nextLettersFrequencies = mSuggest.getNextLettersFrequencies();
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mKeyboardSwitcher.setPreferredLetters(nextLettersFrequencies);
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@ -1506,8 +1505,7 @@ public class LatinIME extends InputMethodService implements KeyboardActionListen
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private void showSuggestions(SuggestedWords suggestedWords, CharSequence typedWord) {
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setSuggestions(suggestedWords);
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if (suggestedWords.size() > 0) {
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if (suggestedWords.mHasMinimalSuggestion
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&& !suggestedWords.mTypedWordValid && suggestedWords.size() > 1) {
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if (suggestedWords.hasAutoCorrectionWord()) {
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mBestWord = suggestedWords.getWord(1);
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} else {
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mBestWord = typedWord;
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@ -2067,9 +2065,9 @@ public class LatinIME extends InputMethodService implements KeyboardActionListen
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final String currentAutoCorrectionSetting = sp.getString(
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Settings.PREF_AUTO_CORRECTION_THRESHOLD,
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mResources.getString(R.string.auto_correction_threshold_mode_value_modest));
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mResources.getString(R.string.auto_correction_threshold_mode_index_modest));
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final String[] autoCorrectionThresholdValues = mResources.getStringArray(
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R.array.auto_correction_threshold_mode_values);
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R.array.auto_correction_threshold_values);
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// When autoCrrectionThreshold is greater than 1.0, auto correction is virtually turned off.
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double autoCorrectionThreshold = Double.MAX_VALUE;
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try {
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@ -2094,9 +2092,9 @@ public class LatinIME extends InputMethodService implements KeyboardActionListen
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private boolean isAutoCorrectEnabled(SharedPreferences sp) {
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final String currentAutoCorrectionSetting = sp.getString(
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Settings.PREF_AUTO_CORRECTION_THRESHOLD,
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mResources.getString(R.string.auto_correction_threshold_mode_value_modest));
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mResources.getString(R.string.auto_correction_threshold_mode_index_modest));
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final String autoCorrectionOff = mResources.getString(
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R.string.auto_correction_threshold_mode_value_off);
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R.string.auto_correction_threshold_mode_index_off);
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return !currentAutoCorrectionSetting.equals(autoCorrectionOff);
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}
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@ -79,7 +79,7 @@ public class Settings extends PreferenceActivity
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private void ensureConsistencyOfAutoCorrectionSettings() {
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final String autoCorrectionOff = getResources().getString(
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R.string.auto_correction_threshold_mode_value_off);
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R.string.auto_correction_threshold_mode_index_off);
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final String currentSetting = mAutoCorrectionThreshold.getValue();
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mBigramSuggestion.setEnabled(!currentSetting.equals(autoCorrectionOff));
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}
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@ -95,7 +95,6 @@ public class Suggest implements Dictionary.WordCallback {
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ArrayList<CharSequence> mBigramSuggestions = new ArrayList<CharSequence>();
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private ArrayList<CharSequence> mStringPool = new ArrayList<CharSequence>();
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private boolean mHaveCorrection;
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private CharSequence mOriginalWord;
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private String mLowerOriginalWord;
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// TODO: Remove these member variables by passing more context to addWord() callback method
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@ -197,14 +196,13 @@ public class Suggest implements Dictionary.WordCallback {
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* @return suggested words object.
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*/
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public SuggestedWords getSuggestions(View view, WordComposer wordComposer,
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boolean includeTypedWordIfValid, CharSequence prevWordForBigram) {
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return getSuggestedWordBuilder(view, wordComposer, includeTypedWordIfValid,
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prevWordForBigram).build();
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CharSequence prevWordForBigram) {
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return getSuggestedWordBuilder(view, wordComposer, prevWordForBigram).build();
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}
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// TODO: cleanup dictionaries looking up and suggestions building with SuggestedWords.Builder
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public SuggestedWords.Builder getSuggestedWordBuilder(View view, WordComposer wordComposer,
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boolean includeTypedWordIfValid, CharSequence prevWordForBigram) {
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CharSequence prevWordForBigram) {
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LatinImeLogger.onStartSuggestion(prevWordForBigram);
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mHaveCorrection = false;
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mIsFirstCharCapitalized = wordComposer.isFirstCharCapitalized();
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@ -214,13 +212,13 @@ public class Suggest implements Dictionary.WordCallback {
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Arrays.fill(mNextLettersFrequencies, 0);
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// Save a lowercase version of the original word
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mOriginalWord = wordComposer.getTypedWord();
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if (mOriginalWord != null) {
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final String mOriginalWordString = mOriginalWord.toString();
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mOriginalWord = mOriginalWordString;
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mLowerOriginalWord = mOriginalWordString.toLowerCase();
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CharSequence typedWord = wordComposer.getTypedWord();
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if (typedWord != null) {
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final String typedWordString = typedWord.toString();
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typedWord = typedWordString;
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mLowerOriginalWord = typedWordString.toLowerCase();
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// Treating USER_TYPED as UNIGRAM suggestion for logging now.
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LatinImeLogger.onAddSuggestedWord(mOriginalWordString, Suggest.DIC_USER_TYPED,
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LatinImeLogger.onAddSuggestedWord(typedWordString, Suggest.DIC_USER_TYPED,
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Dictionary.DataType.UNIGRAM);
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} else {
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mLowerOriginalWord = "";
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@ -278,7 +276,7 @@ public class Suggest implements Dictionary.WordCallback {
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mContactsDictionary.getWords(wordComposer, this, mNextLettersFrequencies);
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}
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if (mSuggestions.size() > 0 && isValidWord(mOriginalWord)
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if (mSuggestions.size() > 0 && isValidWord(typedWord)
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&& (mCorrectionMode == CORRECTION_FULL
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|| mCorrectionMode == CORRECTION_FULL_BIGRAM)) {
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mHaveCorrection = true;
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@ -290,9 +288,9 @@ public class Suggest implements Dictionary.WordCallback {
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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 = Utils.calcNormalizedScore(
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mOriginalWord, mSuggestions.get(0), mPriorities[0]);
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typedWord, mSuggestions.get(0), mPriorities[0]);
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if (LatinImeLogger.sDBG) {
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Log.d(TAG, "Normalized " + mOriginalWord + "," + mSuggestions.get(0) + ","
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Log.d(TAG, "Normalized " + typedWord + "," + mSuggestions.get(0) + ","
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+ mPriorities[0] + normalizedScore
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+ "(" + mAutoCorrectionThreshold + ")");
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}
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@ -301,8 +299,8 @@ public class Suggest implements Dictionary.WordCallback {
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}
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}
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}
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if (mOriginalWord != null) {
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mSuggestions.add(0, mOriginalWord.toString());
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if (typedWord != null) {
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mSuggestions.add(0, typedWord.toString());
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}
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if (mAutoTextEnabled) {
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int i = 0;
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@ -53,7 +53,11 @@ public class SuggestedWords {
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}
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public boolean hasAutoCorrectionWord() {
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return mHasMinimalSuggestion && ((size() >= 1 && !mTypedWordValid) || mTypedWordValid);
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return mHasMinimalSuggestion && size() > 1 && !mTypedWordValid;
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}
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public boolean hasWordAboveAutoCorrectionScoreThreshold() {
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return mHasMinimalSuggestion && ((size() > 1 && !mTypedWordValid) || mTypedWordValid);
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}
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public static class Builder {
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@ -125,19 +125,19 @@ public class SuggestHelper {
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boolean isDefaultSuggestion(CharSequence typed, CharSequence expected) {
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WordComposer word = createWordComposer(typed);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, false, null);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, null);
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return isDefaultSuggestion(suggestions, expected);
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}
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boolean isDefaultCorrection(CharSequence typed, CharSequence expected) {
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WordComposer word = createWordComposer(typed);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, false, null);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, null);
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return isDefaultSuggestion(suggestions, expected) && mSuggest.hasMinimalCorrection();
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}
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boolean isASuggestion(CharSequence typed, CharSequence expected) {
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WordComposer word = createWordComposer(typed);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, false, null);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, null);
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for (int i = 1; i < suggestions.size(); i++) {
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if (TextUtils.equals(suggestions.getWord(i), expected)) return true;
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}
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@ -147,7 +147,7 @@ public class SuggestHelper {
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private void getBigramSuggestions(CharSequence previous, CharSequence typed) {
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if (!TextUtils.isEmpty(previous) && (typed.length() > 1)) {
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WordComposer firstChar = createWordComposer(Character.toString(typed.charAt(0)));
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mSuggest.getSuggestions(null, firstChar, false, previous);
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mSuggest.getSuggestions(null, firstChar, previous);
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}
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}
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@ -155,7 +155,7 @@ public class SuggestHelper {
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CharSequence expected) {
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WordComposer word = createWordComposer(typed);
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getBigramSuggestions(previous, typed);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, false, previous);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, previous);
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return isDefaultSuggestion(suggestions, expected);
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}
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@ -163,7 +163,7 @@ public class SuggestHelper {
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CharSequence expected) {
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WordComposer word = createWordComposer(typed);
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getBigramSuggestions(previous, typed);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, false, previous);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, previous);
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return isDefaultSuggestion(suggestions, expected) && mSuggest.hasMinimalCorrection();
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}
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@ -171,7 +171,7 @@ public class SuggestHelper {
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CharSequence expected) {
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WordComposer word = createWordComposer(typed);
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getBigramSuggestions(previous, typed);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, false, previous);
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SuggestedWords suggestions = mSuggest.getSuggestions(null, word, previous);
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for (int i = 1; i < suggestions.size(); i++) {
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if (TextUtils.equals(suggestions.getWord(i), expected)) return true;
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}
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@ -189,7 +189,7 @@ public class SuggestHelper {
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flushUserBigrams();
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if (!TextUtils.isEmpty(previous) && !TextUtils.isEmpty(Character.toString(typed))) {
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WordComposer firstChar = createWordComposer(Character.toString(typed));
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mSuggest.getSuggestions(null, firstChar, false, previous);
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mSuggest.getSuggestions(null, firstChar, previous);
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boolean reloading = mUserBigram.reloadDictionaryIfRequired();
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if (reloading) mUserBigram.waitForDictionaryLoading();
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mUserBigram.getBigrams(firstChar, previous, mSuggest, null);
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