-UserBigram
-UnitTest for UserBigram -Changes for number of bigrams to load Change-Id: I2c6fbe6194d34112ccc52c7e199461d2350e8516main
parent
6dea425480
commit
ac093396ba
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@ -83,14 +83,14 @@ public class AutoDictionary extends ExpandableDictionary {
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sDictProjectionMap.put(COLUMN_LOCALE, COLUMN_LOCALE);
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}
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private static DatabaseHelper mOpenHelper = null;
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private static DatabaseHelper sOpenHelper = null;
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public AutoDictionary(Context context, LatinIME ime, String locale, int dicTypeId) {
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super(context, dicTypeId);
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mIme = ime;
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mLocale = locale;
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if (mOpenHelper == null) {
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mOpenHelper = new DatabaseHelper(getContext());
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if (sOpenHelper == null) {
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sOpenHelper = new DatabaseHelper(getContext());
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}
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if (mLocale != null && mLocale.length() > 1) {
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loadDictionary();
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@ -169,7 +169,7 @@ public class AutoDictionary extends ExpandableDictionary {
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// Nothing pending? Return
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if (mPendingWrites.isEmpty()) return;
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// Create a background thread to write the pending entries
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new UpdateDbTask(getContext(), mOpenHelper, mPendingWrites, mLocale).execute();
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new UpdateDbTask(getContext(), sOpenHelper, mPendingWrites, mLocale).execute();
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// Create a new map for writing new entries into while the old one is written to db
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mPendingWrites = new HashMap<String, Integer>();
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}
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@ -209,7 +209,7 @@ public class AutoDictionary extends ExpandableDictionary {
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qb.setProjectionMap(sDictProjectionMap);
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// Get the database and run the query
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SQLiteDatabase db = mOpenHelper.getReadableDatabase();
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SQLiteDatabase db = sOpenHelper.getReadableDatabase();
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Cursor c = qb.query(db, null, selection, selectionArgs, null, null,
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DEFAULT_SORT_ORDER);
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return c;
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@ -42,8 +42,8 @@ public class BinaryDictionary extends Dictionary {
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private static final String TAG = "BinaryDictionary";
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private static final int MAX_ALTERNATIVES = 16;
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private static final int MAX_WORDS = 16;
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private static final int MAX_BIGRAMS = 255; // TODO Probably don't need all 255
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private static final int MAX_WORDS = 18;
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private static final int MAX_BIGRAMS = 60;
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private static final int TYPED_LETTER_MULTIPLIER = 2;
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private static final boolean ENABLE_MISSED_CHARACTERS = true;
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@ -140,9 +140,11 @@ public class BinaryDictionary extends Dictionary {
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Log.w(TAG, "No available memory for binary dictionary");
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} finally {
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try {
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if (is != null) {
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for (int i = 0; i < is.length; i++) {
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is[i].close();
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}
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}
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} catch (IOException e) {
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Log.w(TAG, "Failed to close input stream");
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}
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@ -125,8 +125,8 @@ public class ContactsDictionary extends ExpandableDictionary {
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super.addWord(word, FREQUENCY_FOR_CONTACTS);
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if (!TextUtils.isEmpty(prevWord)) {
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// TODO Do not add email address
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super.addBigrams(prevWord, word,
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FREQUENCY_FOR_CONTACTS_BIGRAM);
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// Not so critical
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super.setBigram(prevWord, word, FREQUENCY_FOR_CONTACTS_BIGRAM);
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}
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prevWord = word;
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}
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@ -20,8 +20,6 @@ import java.util.LinkedList;
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import android.content.Context;
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import android.os.AsyncTask;
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import android.os.SystemClock;
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import android.util.Log;
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/**
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* Base class for an in-memory dictionary that can grow dynamically and can
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@ -325,12 +323,21 @@ public class ExpandableDictionary extends Dictionary {
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}
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}
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protected int setBigram(String word1, String word2, int frequency) {
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return addOrSetBigram(word1, word2, frequency, false);
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}
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protected int addBigram(String word1, String word2, int frequency) {
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return addOrSetBigram(word1, word2, frequency, true);
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}
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/**
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* Adds bigrams to the in-memory trie structure that is being used to retrieve any word
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* @param addFrequency adding frequency of the pair
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* @param frequency frequency for this bigrams
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* @param addFrequency if true, it adds to current frequency
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* @return returns the final frequency
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*/
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protected int addBigrams(String word1, String word2, int addFrequency) {
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private int addOrSetBigram(String word1, String word2, int frequency, boolean addFrequency) {
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Node firstWord = searchWord(mRoots, word1, 0, null);
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Node secondWord = searchWord(mRoots, word2, 0, null);
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LinkedList<NextWord> bigram = firstWord.ngrams;
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@ -340,14 +347,18 @@ public class ExpandableDictionary extends Dictionary {
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} else {
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for (NextWord nw : bigram) {
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if (nw.word == secondWord) {
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nw.frequency += addFrequency;
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if (addFrequency) {
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nw.frequency += frequency;
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} else {
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nw.frequency = frequency;
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}
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return nw.frequency;
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}
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}
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}
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NextWord nw = new NextWord(secondWord, addFrequency);
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NextWord nw = new NextWord(secondWord, frequency);
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firstWord.ngrams.add(nw);
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return addFrequency;
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return frequency;
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}
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/**
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@ -385,22 +396,44 @@ public class ExpandableDictionary extends Dictionary {
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return searchWord(childNode.children, word, depth + 1, childNode);
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}
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@Override
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public void getBigrams(final WordComposer codes, final CharSequence previousWord,
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final WordCallback callback, int[] nextLettersFrequencies) {
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// @VisibleForTesting
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boolean reloadDictionaryIfRequired() {
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synchronized (mUpdatingLock) {
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// If we need to update, start off a background task
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if (mRequiresReload) startDictionaryLoadingTaskLocked();
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// Currently updating contacts, don't return any results.
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if (mUpdatingDictionary) return;
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return mUpdatingDictionary;
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}
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}
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private void runReverseLookUp(final CharSequence previousWord, final WordCallback callback) {
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Node prevWord = searchNode(mRoots, previousWord, 0, previousWord.length());
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if (prevWord != null && prevWord.ngrams != null) {
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reverseLookUp(prevWord.ngrams, callback);
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}
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}
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@Override
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public void getBigrams(final WordComposer codes, final CharSequence previousWord,
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final WordCallback callback, int[] nextLettersFrequencies) {
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if (!reloadDictionaryIfRequired()) {
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runReverseLookUp(previousWord, callback);
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}
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}
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/**
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* Used only for testing purposes
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* This function will wait for loading from database to be done
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*/
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void waitForDictionaryLoading() {
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while (mUpdatingDictionary) {
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try {
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Thread.sleep(100);
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} catch (InterruptedException e) {
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}
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}
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}
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/**
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* reverseLookUp retrieves the full word given a list of terminal nodes and adds those words
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* through callback.
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@ -413,6 +446,8 @@ public class ExpandableDictionary extends Dictionary {
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for (NextWord nextWord : terminalNodes) {
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node = nextWord.word;
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freq = nextWord.frequency;
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// TODO Not the best way to limit suggestion threshold
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if (freq >= UserBigramDictionary.SUGGEST_THRESHOLD) {
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sb.setLength(0);
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do {
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sb.insert(0, node.code);
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@ -424,6 +459,7 @@ public class ExpandableDictionary extends Dictionary {
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DataType.BIGRAM);
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}
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}
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}
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/**
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* Search for the terminal node of the word
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@ -460,18 +496,11 @@ public class ExpandableDictionary extends Dictionary {
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@Override
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protected Void doInBackground(Void... v) {
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loadDictionaryAsync();
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return null;
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}
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@Override
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protected void onPostExecute(Void result) {
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// TODO Auto-generated method stub
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synchronized (mUpdatingLock) {
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mUpdatingDictionary = false;
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}
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super.onPostExecute(result);
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return null;
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}
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}
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static char toLowerCase(char c) {
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@ -163,8 +163,7 @@ public class LatinIME extends InputMethodService
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KeyboardSwitcher mKeyboardSwitcher;
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private UserDictionary mUserDictionary;
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// User Bigram is disabled for now
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//private UserBigramDictionary mUserBigramDictionary;
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private UserBigramDictionary mUserBigramDictionary;
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private ContactsDictionary mContactsDictionary;
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private AutoDictionary mAutoDictionary;
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@ -454,15 +453,12 @@ public class LatinIME extends InputMethodService
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mAutoDictionary.close();
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}
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mAutoDictionary = new AutoDictionary(this, this, mInputLocale, Suggest.DIC_AUTO);
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// User Bigram is disabled for now
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/*
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if (mUserBigramDictionary != null) {
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mUserBigramDictionary.close();
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}
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mUserBigramDictionary = new UserBigramDictionary(this, this, mInputLocale,
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Suggest.DIC_USERBIGRAM);
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Suggest.DIC_USER);
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mSuggest.setUserBigramDictionary(mUserBigramDictionary);
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*/
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mSuggest.setUserDictionary(mUserDictionary);
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mSuggest.setContactsDictionary(mContactsDictionary);
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mSuggest.setAutoDictionary(mAutoDictionary);
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@ -698,8 +694,7 @@ public class LatinIME extends InputMethodService
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mKeyboardSwitcher.getInputView().closing();
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}
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if (mAutoDictionary != null) mAutoDictionary.flushPendingWrites();
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// User Bigram is disabled for now
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//if (mUserBigramDictionary != null) mUserBigramDictionary.flushPendingWrites();
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if (mUserBigramDictionary != null) mUserBigramDictionary.flushPendingWrites();
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}
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@Override
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@ -2007,15 +2002,14 @@ public class LatinIME extends InputMethodService
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&& !mSuggest.isValidWord(suggestion.toString().toLowerCase()))) {
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mAutoDictionary.addWord(suggestion.toString(), frequencyDelta);
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}
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// User Bigram is disabled for now
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/*
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if (mUserBigramDictionary != null) {
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CharSequence prevWord = EditingUtil.getPreviousWord(getCurrentInputConnection());
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CharSequence prevWord = EditingUtil.getPreviousWord(getCurrentInputConnection(),
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mSentenceSeparators);
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if (!TextUtils.isEmpty(prevWord)) {
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mUserBigramDictionary.addBigrams(prevWord.toString(), suggestion.toString(), 1);
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mUserBigramDictionary.addBigrams(prevWord.toString(), suggestion.toString());
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}
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}
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*/
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}
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}
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@ -78,12 +78,13 @@ public class Suggest implements Dictionary.WordCallback {
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private Dictionary mUserBigramDictionary;
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private int mPrefMaxSuggestions = 12;
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private int mPrefMaxBigrams = 255;
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private static final int PREF_MAX_BIGRAMS = 60;
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private boolean mAutoTextEnabled;
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private int[] mPriorities = new int[mPrefMaxSuggestions];
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private int[] mBigramPriorities = new int[mPrefMaxBigrams];
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private int[] mBigramPriorities = new int[PREF_MAX_BIGRAMS];
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// Handle predictive correction for only the first 1280 characters for performance reasons
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// If we support scripts that need latin characters beyond that, we should probably use some
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// latin characters.
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private int[] mNextLettersFrequencies = new int[1280];
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private ArrayList<CharSequence> mSuggestions = new ArrayList<CharSequence>();
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private ArrayList<CharSequence> mBigramSuggestions = new ArrayList<CharSequence>();
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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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@ -173,7 +174,7 @@ public class Suggest implements Dictionary.WordCallback {
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}
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mPrefMaxSuggestions = maxSuggestions;
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mPriorities = new int[mPrefMaxSuggestions];
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mBigramPriorities = new int[mPrefMaxBigrams];
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mBigramPriorities = new int[PREF_MAX_BIGRAMS];
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collectGarbage(mSuggestions, mPrefMaxSuggestions);
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while (mStringPool.size() < mPrefMaxSuggestions) {
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StringBuilder sb = new StringBuilder(getApproxMaxWordLength());
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@ -242,7 +243,7 @@ public class Suggest implements Dictionary.WordCallback {
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|| mCorrectionMode == CORRECTION_BASIC)) {
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// At first character typed, search only the bigrams
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Arrays.fill(mBigramPriorities, 0);
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collectGarbage(mBigramSuggestions, mPrefMaxBigrams);
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collectGarbage(mBigramSuggestions, PREF_MAX_BIGRAMS);
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if (!TextUtils.isEmpty(prevWordForBigram)) {
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CharSequence lowerPrevWord = prevWordForBigram.toString().toLowerCase();
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@ -401,7 +402,7 @@ public class Suggest implements Dictionary.WordCallback {
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if(dataType == Dictionary.DataType.BIGRAM) {
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suggestions = mBigramSuggestions;
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priorities = mBigramPriorities;
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prefMaxSuggestions = mPrefMaxBigrams;
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prefMaxSuggestions = PREF_MAX_BIGRAMS;
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} else {
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suggestions = mSuggestions;
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priorities = mPriorities;
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@ -443,7 +444,6 @@ public class Suggest implements Dictionary.WordCallback {
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pos++;
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}
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}
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if (pos >= prefMaxSuggestions) {
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return true;
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}
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@ -0,0 +1,402 @@
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/*
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* Copyright (C) 2010 Google Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License"); you may not
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* use this file except in compliance with the License. You may obtain a copy of
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* the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations under
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* the License.
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*/
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package com.android.inputmethod.latin;
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import java.util.HashMap;
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import java.util.HashSet;
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import java.util.Iterator;
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import android.content.ContentValues;
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import android.content.Context;
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import android.database.Cursor;
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import android.database.sqlite.SQLiteDatabase;
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import android.database.sqlite.SQLiteOpenHelper;
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import android.database.sqlite.SQLiteQueryBuilder;
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import android.os.AsyncTask;
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import android.provider.BaseColumns;
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import android.util.Log;
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/**
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* Stores all the pairs user types in databases. Prune the database if the size
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* gets too big. Unlike AutoDictionary, it even stores the pairs that are already
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* in the dictionary.
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*/
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public class UserBigramDictionary extends ExpandableDictionary {
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private static final String TAG = "UserBigramDictionary";
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/** Any pair being typed or picked */
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private static final int FREQUENCY_FOR_TYPED = 2;
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/** Maximum frequency for all pairs */
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private static final int FREQUENCY_MAX = 127;
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/**
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* If this pair is typed 6 times, it would be suggested.
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* Should be smaller than ContactsDictionary.FREQUENCY_FOR_CONTACTS_BIGRAM
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*/
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protected static final int SUGGEST_THRESHOLD = 6 * FREQUENCY_FOR_TYPED;
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/** Maximum number of pairs. Pruning will start when databases goes above this number. */
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private static int sMaxUserBigrams = 10000;
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/**
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* When it hits maximum bigram pair, it will delete until you are left with
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* only (sMaxUserBigrams - sDeleteUserBigrams) pairs.
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* Do not keep this number small to avoid deleting too often.
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*/
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private static int sDeleteUserBigrams = 1000;
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/**
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* Database version should increase if the database structure changes
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*/
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private static final int DATABASE_VERSION = 1;
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private static final String DATABASE_NAME = "userbigram_dict.db";
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/** Name of the words table in the database */
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private static final String MAIN_TABLE_NAME = "main";
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// TODO: Consume less space by using a unique id for locale instead of the whole
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// 2-5 character string. (Same TODO from AutoDictionary)
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private static final String MAIN_COLUMN_ID = BaseColumns._ID;
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private static final String MAIN_COLUMN_WORD1 = "word1";
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private static final String MAIN_COLUMN_WORD2 = "word2";
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private static final String MAIN_COLUMN_LOCALE = "locale";
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/** Name of the frequency table in the database */
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private static final String FREQ_TABLE_NAME = "frequency";
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private static final String FREQ_COLUMN_ID = BaseColumns._ID;
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private static final String FREQ_COLUMN_PAIR_ID = "pair_id";
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private static final String FREQ_COLUMN_FREQUENCY = "freq";
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private final LatinIME mIme;
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/** Locale for which this auto dictionary is storing words */
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private String mLocale;
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private HashSet<Bigram> mPendingWrites = new HashSet<Bigram>();
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private final Object mPendingWritesLock = new Object();
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private static volatile boolean sUpdatingDB = false;
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private final static HashMap<String, String> sDictProjectionMap;
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static {
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sDictProjectionMap = new HashMap<String, String>();
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sDictProjectionMap.put(MAIN_COLUMN_ID, MAIN_COLUMN_ID);
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sDictProjectionMap.put(MAIN_COLUMN_WORD1, MAIN_COLUMN_WORD1);
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sDictProjectionMap.put(MAIN_COLUMN_WORD2, MAIN_COLUMN_WORD2);
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sDictProjectionMap.put(MAIN_COLUMN_LOCALE, MAIN_COLUMN_LOCALE);
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sDictProjectionMap.put(FREQ_COLUMN_ID, FREQ_COLUMN_ID);
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sDictProjectionMap.put(FREQ_COLUMN_PAIR_ID, FREQ_COLUMN_PAIR_ID);
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sDictProjectionMap.put(FREQ_COLUMN_FREQUENCY, FREQ_COLUMN_FREQUENCY);
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}
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private static DatabaseHelper sOpenHelper = null;
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private static class Bigram {
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String word1;
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String word2;
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int frequency;
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Bigram(String word1, String word2, int frequency) {
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this.word1 = word1;
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this.word2 = word2;
|
||||
this.frequency = frequency;
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean equals(Object bigram) {
|
||||
Bigram bigram2 = (Bigram) bigram;
|
||||
return (word1.equals(bigram2.word1) && word2.equals(bigram2.word2));
|
||||
}
|
||||
|
||||
@Override
|
||||
public int hashCode() {
|
||||
return (word1 + " " + word2).hashCode();
|
||||
}
|
||||
}
|
||||
|
||||
public void setDatabaseMax(int maxUserBigram) {
|
||||
sMaxUserBigrams = maxUserBigram;
|
||||
}
|
||||
|
||||
public void setDatabaseDelete(int deleteUserBigram) {
|
||||
sDeleteUserBigrams = deleteUserBigram;
|
||||
}
|
||||
|
||||
public UserBigramDictionary(Context context, LatinIME ime, String locale, int dicTypeId) {
|
||||
super(context, dicTypeId);
|
||||
mIme = ime;
|
||||
mLocale = locale;
|
||||
if (sOpenHelper == null) {
|
||||
sOpenHelper = new DatabaseHelper(getContext());
|
||||
}
|
||||
if (mLocale != null && mLocale.length() > 1) {
|
||||
loadDictionary();
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public void close() {
|
||||
flushPendingWrites();
|
||||
// Don't close the database as locale changes will require it to be reopened anyway
|
||||
// Also, the database is written to somewhat frequently, so it needs to be kept alive
|
||||
// throughout the life of the process.
|
||||
// mOpenHelper.close();
|
||||
super.close();
|
||||
}
|
||||
|
||||
/**
|
||||
* Pair will be added to the userbigram database.
|
||||
*/
|
||||
public int addBigrams(String word1, String word2) {
|
||||
// remove caps
|
||||
if (mIme != null && mIme.getCurrentWord().isAutoCapitalized()) {
|
||||
word2 = Character.toLowerCase(word2.charAt(0)) + word2.substring(1);
|
||||
}
|
||||
|
||||
int freq = super.addBigram(word1, word2, FREQUENCY_FOR_TYPED);
|
||||
if (freq > FREQUENCY_MAX) freq = FREQUENCY_MAX;
|
||||
synchronized (mPendingWritesLock) {
|
||||
if (freq == FREQUENCY_FOR_TYPED || mPendingWrites.isEmpty()) {
|
||||
mPendingWrites.add(new Bigram(word1, word2, freq));
|
||||
} else {
|
||||
Bigram bi = new Bigram(word1, word2, freq);
|
||||
mPendingWrites.remove(bi);
|
||||
mPendingWrites.add(bi);
|
||||
}
|
||||
}
|
||||
|
||||
return freq;
|
||||
}
|
||||
|
||||
/**
|
||||
* Schedules a background thread to write any pending words to the database.
|
||||
*/
|
||||
public void flushPendingWrites() {
|
||||
synchronized (mPendingWritesLock) {
|
||||
// Nothing pending? Return
|
||||
if (mPendingWrites.isEmpty()) return;
|
||||
// Create a background thread to write the pending entries
|
||||
new UpdateDbTask(getContext(), sOpenHelper, mPendingWrites, mLocale).execute();
|
||||
// Create a new map for writing new entries into while the old one is written to db
|
||||
mPendingWrites = new HashSet<Bigram>();
|
||||
}
|
||||
}
|
||||
|
||||
/** Used for testing purpose **/
|
||||
void waitUntilUpdateDBDone() {
|
||||
synchronized (mPendingWritesLock) {
|
||||
while (sUpdatingDB) {
|
||||
try {
|
||||
Thread.sleep(100);
|
||||
} catch (InterruptedException e) {
|
||||
}
|
||||
}
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public void loadDictionaryAsync() {
|
||||
// Load the words that correspond to the current input locale
|
||||
Cursor cursor = query(MAIN_COLUMN_LOCALE + "=?", new String[] { mLocale });
|
||||
try {
|
||||
if (cursor.moveToFirst()) {
|
||||
int word1Index = cursor.getColumnIndex(MAIN_COLUMN_WORD1);
|
||||
int word2Index = cursor.getColumnIndex(MAIN_COLUMN_WORD2);
|
||||
int frequencyIndex = cursor.getColumnIndex(FREQ_COLUMN_FREQUENCY);
|
||||
while (!cursor.isAfterLast()) {
|
||||
String word1 = cursor.getString(word1Index);
|
||||
String word2 = cursor.getString(word2Index);
|
||||
int frequency = cursor.getInt(frequencyIndex);
|
||||
// Safeguard against adding really long words. Stack may overflow due
|
||||
// to recursive lookup
|
||||
if (word1.length() < MAX_WORD_LENGTH && word2.length() < MAX_WORD_LENGTH) {
|
||||
super.setBigram(word1, word2, frequency);
|
||||
}
|
||||
cursor.moveToNext();
|
||||
}
|
||||
}
|
||||
} finally {
|
||||
cursor.close();
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Query the database
|
||||
*/
|
||||
private Cursor query(String selection, String[] selectionArgs) {
|
||||
SQLiteQueryBuilder qb = new SQLiteQueryBuilder();
|
||||
|
||||
// main INNER JOIN frequency ON (main._id=freq.pair_id)
|
||||
qb.setTables(MAIN_TABLE_NAME + " INNER JOIN " + FREQ_TABLE_NAME + " ON ("
|
||||
+ MAIN_TABLE_NAME + "." + MAIN_COLUMN_ID + "=" + FREQ_TABLE_NAME + "."
|
||||
+ FREQ_COLUMN_PAIR_ID +")");
|
||||
|
||||
qb.setProjectionMap(sDictProjectionMap);
|
||||
|
||||
// Get the database and run the query
|
||||
SQLiteDatabase db = sOpenHelper.getReadableDatabase();
|
||||
Cursor c = qb.query(db,
|
||||
new String[] { MAIN_COLUMN_WORD1, MAIN_COLUMN_WORD2, FREQ_COLUMN_FREQUENCY },
|
||||
selection, selectionArgs, null, null, null);
|
||||
return c;
|
||||
}
|
||||
|
||||
/**
|
||||
* This class helps open, create, and upgrade the database file.
|
||||
*/
|
||||
private static class DatabaseHelper extends SQLiteOpenHelper {
|
||||
|
||||
DatabaseHelper(Context context) {
|
||||
super(context, DATABASE_NAME, null, DATABASE_VERSION);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void onCreate(SQLiteDatabase db) {
|
||||
db.execSQL("PRAGMA foreign_keys = ON;");
|
||||
db.execSQL("CREATE TABLE " + MAIN_TABLE_NAME + " ("
|
||||
+ MAIN_COLUMN_ID + " INTEGER PRIMARY KEY,"
|
||||
+ MAIN_COLUMN_WORD1 + " TEXT,"
|
||||
+ MAIN_COLUMN_WORD2 + " TEXT,"
|
||||
+ MAIN_COLUMN_LOCALE + " TEXT"
|
||||
+ ");");
|
||||
db.execSQL("CREATE TABLE " + FREQ_TABLE_NAME + " ("
|
||||
+ FREQ_COLUMN_ID + " INTEGER PRIMARY KEY,"
|
||||
+ FREQ_COLUMN_PAIR_ID + " INTEGER,"
|
||||
+ FREQ_COLUMN_FREQUENCY + " INTEGER,"
|
||||
+ "FOREIGN KEY(" + FREQ_COLUMN_PAIR_ID + ") REFERENCES " + MAIN_TABLE_NAME
|
||||
+ "(" + MAIN_COLUMN_ID + ")" + " ON DELETE CASCADE"
|
||||
+ ");");
|
||||
}
|
||||
|
||||
@Override
|
||||
public void onUpgrade(SQLiteDatabase db, int oldVersion, int newVersion) {
|
||||
Log.w(TAG, "Upgrading database from version " + oldVersion + " to "
|
||||
+ newVersion + ", which will destroy all old data");
|
||||
db.execSQL("DROP TABLE IF EXISTS " + MAIN_TABLE_NAME);
|
||||
db.execSQL("DROP TABLE IF EXISTS " + FREQ_TABLE_NAME);
|
||||
onCreate(db);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Async task to write pending words to the database so that it stays in sync with
|
||||
* the in-memory trie.
|
||||
*/
|
||||
private static class UpdateDbTask extends AsyncTask<Void, Void, Void> {
|
||||
private final HashSet<Bigram> mMap;
|
||||
private final DatabaseHelper mDbHelper;
|
||||
private final String mLocale;
|
||||
|
||||
public UpdateDbTask(Context context, DatabaseHelper openHelper,
|
||||
HashSet<Bigram> pendingWrites, String locale) {
|
||||
mMap = pendingWrites;
|
||||
mLocale = locale;
|
||||
mDbHelper = openHelper;
|
||||
}
|
||||
|
||||
/** Prune any old data if the database is getting too big. */
|
||||
private void checkPruneData(SQLiteDatabase db) {
|
||||
db.execSQL("PRAGMA foreign_keys = ON;");
|
||||
Cursor c = db.query(FREQ_TABLE_NAME, new String[] { FREQ_COLUMN_PAIR_ID },
|
||||
null, null, null, null, null);
|
||||
try {
|
||||
int totalRowCount = c.getCount();
|
||||
// prune out old data if we have too much data
|
||||
if (totalRowCount > sMaxUserBigrams) {
|
||||
int numDeleteRows = (totalRowCount - sMaxUserBigrams) + sDeleteUserBigrams;
|
||||
int pairIdColumnId = c.getColumnIndex(FREQ_COLUMN_PAIR_ID);
|
||||
c.moveToFirst();
|
||||
int count = 0;
|
||||
while (count < numDeleteRows && !c.isAfterLast()) {
|
||||
String pairId = c.getString(pairIdColumnId);
|
||||
// Deleting from MAIN table will delete the frequencies
|
||||
// due to FOREIGN KEY .. ON DELETE CASCADE
|
||||
db.delete(MAIN_TABLE_NAME, MAIN_COLUMN_ID + "=?",
|
||||
new String[] { pairId });
|
||||
c.moveToNext();
|
||||
count++;
|
||||
}
|
||||
}
|
||||
} finally {
|
||||
c.close();
|
||||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
protected void onPreExecute() {
|
||||
sUpdatingDB = true;
|
||||
}
|
||||
|
||||
@Override
|
||||
protected Void doInBackground(Void... v) {
|
||||
SQLiteDatabase db = mDbHelper.getWritableDatabase();
|
||||
db.execSQL("PRAGMA foreign_keys = ON;");
|
||||
// Write all the entries to the db
|
||||
Iterator<Bigram> iterator = mMap.iterator();
|
||||
while (iterator.hasNext()) {
|
||||
Bigram bi = iterator.next();
|
||||
|
||||
// find pair id
|
||||
Cursor c = db.query(MAIN_TABLE_NAME, new String[] { MAIN_COLUMN_ID },
|
||||
MAIN_COLUMN_WORD1 + "=? AND " + MAIN_COLUMN_WORD2 + "=? AND "
|
||||
+ MAIN_COLUMN_LOCALE + "=?",
|
||||
new String[] { bi.word1, bi.word2, mLocale }, null, null, null);
|
||||
|
||||
int pairId;
|
||||
if (c.moveToFirst()) {
|
||||
// existing pair
|
||||
pairId = c.getInt(c.getColumnIndex(MAIN_COLUMN_ID));
|
||||
db.delete(FREQ_TABLE_NAME, FREQ_COLUMN_PAIR_ID + "=?",
|
||||
new String[] { Integer.toString(pairId) });
|
||||
} else {
|
||||
// new pair
|
||||
Long pairIdLong = db.insert(MAIN_TABLE_NAME, null,
|
||||
getContentValues(bi.word1, bi.word2, mLocale));
|
||||
pairId = pairIdLong.intValue();
|
||||
}
|
||||
c.close();
|
||||
|
||||
// insert new frequency
|
||||
long s = db.insert(FREQ_TABLE_NAME, null,
|
||||
getFrequencyContentValues(pairId, bi.frequency));
|
||||
}
|
||||
checkPruneData(db);
|
||||
sUpdatingDB = false;
|
||||
|
||||
return null;
|
||||
}
|
||||
|
||||
private ContentValues getContentValues(String word1, String word2, String locale) {
|
||||
ContentValues values = new ContentValues(3);
|
||||
values.put(MAIN_COLUMN_WORD1, word1);
|
||||
values.put(MAIN_COLUMN_WORD2, word2);
|
||||
values.put(MAIN_COLUMN_LOCALE, locale);
|
||||
return values;
|
||||
}
|
||||
|
||||
private ContentValues getFrequencyContentValues(int pairId, int frequency) {
|
||||
ContentValues values = new ContentValues(2);
|
||||
values.put(FREQ_COLUMN_PAIR_ID, pairId);
|
||||
values.put(FREQ_COLUMN_FREQUENCY, frequency);
|
||||
return values;
|
||||
}
|
||||
}
|
||||
|
||||
}
|
|
@ -14,13 +14,13 @@
|
|||
* the License.
|
||||
*/
|
||||
|
||||
package com.android.inputmethod.latin.tests;
|
||||
package com.android.inputmethod.latin;
|
||||
|
||||
import android.content.Context;
|
||||
import android.test.AndroidTestCase;
|
||||
import android.text.TextUtils;
|
||||
import android.util.Log;
|
||||
import com.android.inputmethod.latin.Suggest;
|
||||
import com.android.inputmethod.latin.UserBigramDictionary;
|
||||
import com.android.inputmethod.latin.WordComposer;
|
||||
|
||||
import java.io.IOException;
|
||||
|
@ -29,28 +29,32 @@ import java.nio.ByteBuffer;
|
|||
import java.nio.ByteOrder;
|
||||
import java.nio.channels.Channels;
|
||||
import java.util.List;
|
||||
import java.util.Locale;
|
||||
import java.util.StringTokenizer;
|
||||
|
||||
public class SuggestHelper {
|
||||
private Suggest mSuggest;
|
||||
private UserBigramDictionary mUserBigram;
|
||||
private final String TAG;
|
||||
|
||||
/** Uses main dictionary only **/
|
||||
public SuggestHelper(String tag, Context context, int[] resId) {
|
||||
TAG = tag;
|
||||
InputStream[] res = null;
|
||||
InputStream[] is = null;
|
||||
try {
|
||||
// merging separated dictionary into one if dictionary is separated
|
||||
int total = 0;
|
||||
res = new InputStream[resId.length];
|
||||
is = new InputStream[resId.length];
|
||||
for (int i = 0; i < resId.length; i++) {
|
||||
res[i] = context.getResources().openRawResource(resId[i]);
|
||||
total += res[i].available();
|
||||
is[i] = context.getResources().openRawResource(resId[i]);
|
||||
total += is[i].available();
|
||||
}
|
||||
|
||||
ByteBuffer byteBuffer =
|
||||
ByteBuffer.allocateDirect(total).order(ByteOrder.nativeOrder());
|
||||
int got = 0;
|
||||
for (int i = 0; i < resId.length; i++) {
|
||||
got += Channels.newChannel(res[i]).read(byteBuffer);
|
||||
got += Channels.newChannel(is[i]).read(byteBuffer);
|
||||
}
|
||||
if (got != total) {
|
||||
Log.w(TAG, "Read " + got + " bytes, expected " + total);
|
||||
|
@ -62,8 +66,10 @@ public class SuggestHelper {
|
|||
Log.w(TAG, "No available memory for binary dictionary");
|
||||
} finally {
|
||||
try {
|
||||
for (int i = 0;i < res.length; i++) {
|
||||
res[i].close();
|
||||
if (is != null) {
|
||||
for (int i = 0; i < is.length; i++) {
|
||||
is[i].close();
|
||||
}
|
||||
}
|
||||
} catch (IOException e) {
|
||||
Log.w(TAG, "Failed to close input stream");
|
||||
|
@ -73,6 +79,27 @@ public class SuggestHelper {
|
|||
mSuggest.setCorrectionMode(Suggest.CORRECTION_FULL_BIGRAM);
|
||||
}
|
||||
|
||||
/** Uses both main dictionary and user-bigram dictionary **/
|
||||
public SuggestHelper(String tag, Context context, int[] resId, int userBigramMax,
|
||||
int userBigramDelete) {
|
||||
this(tag, context, resId);
|
||||
mUserBigram = new UserBigramDictionary(context, null, Locale.US.toString(),
|
||||
Suggest.DIC_USER);
|
||||
mUserBigram.setDatabaseMax(userBigramMax);
|
||||
mUserBigram.setDatabaseDelete(userBigramDelete);
|
||||
mSuggest.setUserBigramDictionary(mUserBigram);
|
||||
}
|
||||
|
||||
void changeUserBigramLocale(Context context, Locale locale) {
|
||||
if (mUserBigram != null) {
|
||||
flushUserBigrams();
|
||||
mUserBigram.close();
|
||||
mUserBigram = new UserBigramDictionary(context, null, locale.toString(),
|
||||
Suggest.DIC_USER);
|
||||
mSuggest.setUserBigramDictionary(mUserBigram);
|
||||
}
|
||||
}
|
||||
|
||||
private WordComposer createWordComposer(CharSequence s) {
|
||||
WordComposer word = new WordComposer();
|
||||
for (int i = 0; i < s.length(); i++) {
|
||||
|
@ -126,7 +153,7 @@ public class SuggestHelper {
|
|||
|
||||
private void getBigramSuggestions(CharSequence previous, CharSequence typed) {
|
||||
if (!TextUtils.isEmpty(previous) && (typed.length() > 1)) {
|
||||
WordComposer firstChar = createWordComposer(typed.charAt(0) + "");
|
||||
WordComposer firstChar = createWordComposer(Character.toString(typed.charAt(0)));
|
||||
mSuggest.getSuggestions(null, firstChar, false, previous);
|
||||
}
|
||||
}
|
||||
|
@ -162,6 +189,54 @@ public class SuggestHelper {
|
|||
return mSuggest.isValidWord(typed);
|
||||
}
|
||||
|
||||
boolean isUserBigramSuggestion(CharSequence previous, char typed,
|
||||
CharSequence expected) {
|
||||
WordComposer word = createWordComposer(Character.toString(typed));
|
||||
|
||||
if (mUserBigram == null) return false;
|
||||
|
||||
flushUserBigrams();
|
||||
if (!TextUtils.isEmpty(previous) && !TextUtils.isEmpty(Character.toString(typed))) {
|
||||
WordComposer firstChar = createWordComposer(Character.toString(typed));
|
||||
mSuggest.getSuggestions(null, firstChar, false, previous);
|
||||
boolean reloading = mUserBigram.reloadDictionaryIfRequired();
|
||||
if (reloading) mUserBigram.waitForDictionaryLoading();
|
||||
mUserBigram.getBigrams(firstChar, previous, mSuggest, null);
|
||||
}
|
||||
|
||||
List<CharSequence> suggestions = mSuggest.mBigramSuggestions;
|
||||
for (int i = 0; i < suggestions.size(); i++) {
|
||||
if (TextUtils.equals(suggestions.get(i), expected)) return true;
|
||||
}
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
void addToUserBigram(String sentence) {
|
||||
StringTokenizer st = new StringTokenizer(sentence);
|
||||
String previous = null;
|
||||
while (st.hasMoreTokens()) {
|
||||
String current = st.nextToken();
|
||||
if (previous != null) {
|
||||
addToUserBigram(new String[] {previous, current});
|
||||
}
|
||||
previous = current;
|
||||
}
|
||||
}
|
||||
|
||||
void addToUserBigram(String[] pair) {
|
||||
if (mUserBigram != null && pair.length == 2) {
|
||||
mUserBigram.addBigrams(pair[0], pair[1]);
|
||||
}
|
||||
}
|
||||
|
||||
void flushUserBigrams() {
|
||||
if (mUserBigram != null) {
|
||||
mUserBigram.flushPendingWrites();
|
||||
mUserBigram.waitUntilUpdateDBDone();
|
||||
}
|
||||
}
|
||||
|
||||
final int[][] adjacents = {
|
||||
{'a','s','w','q',-1},
|
||||
{'b','h','v','n','g','j',-1},
|
|
@ -14,16 +14,15 @@
|
|||
* the License.
|
||||
*/
|
||||
|
||||
package com.android.inputmethod.latin.tests;
|
||||
package com.android.inputmethod.latin;
|
||||
|
||||
import android.test.AndroidTestCase;
|
||||
import android.util.Log;
|
||||
|
||||
import com.android.inputmethod.latin.tests.R;
|
||||
import java.io.InputStreamReader;
|
||||
import java.io.InputStream;
|
||||
import java.io.BufferedReader;
|
||||
import java.util.StringTokenizer;
|
||||
import java.util.regex.Pattern;
|
||||
|
||||
public class SuggestPerformanceTests extends AndroidTestCase {
|
||||
private static final String TAG = "SuggestPerformanceTests";
|
||||
|
@ -122,6 +121,6 @@ public class SuggestPerformanceTests extends AndroidTestCase {
|
|||
* Check the log for detail
|
||||
*/
|
||||
public void testSuggestPerformance() {
|
||||
assertTrue(runText(false) < runText(true));
|
||||
assertTrue(runText(false) <= runText(true));
|
||||
}
|
||||
}
|
|
@ -14,10 +14,10 @@
|
|||
* the License.
|
||||
*/
|
||||
|
||||
package com.android.inputmethod.latin.tests;
|
||||
package com.android.inputmethod.latin;
|
||||
|
||||
import android.test.AndroidTestCase;
|
||||
import android.util.Log;
|
||||
import com.android.inputmethod.latin.tests.R;
|
||||
|
||||
public class SuggestTests extends AndroidTestCase {
|
||||
private static final String TAG = "SuggestTests";
|
|
@ -0,0 +1,100 @@
|
|||
/*
|
||||
* Copyright (C) 2010 The Android Open Source Project
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
|
||||
* use this file except in compliance with the License. You may obtain a copy of
|
||||
* the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
||||
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
||||
* License for the specific language governing permissions and limitations under
|
||||
* the License.
|
||||
*/
|
||||
|
||||
package com.android.inputmethod.latin;
|
||||
|
||||
import android.test.AndroidTestCase;
|
||||
import com.android.inputmethod.latin.tests.R;
|
||||
import java.util.Locale;
|
||||
|
||||
public class UserBigramTests extends AndroidTestCase {
|
||||
private static final String TAG = "UserBigramTests";
|
||||
|
||||
private static final int SUGGESTION_STARTS = 6;
|
||||
private static final int MAX_DATA = 20;
|
||||
private static final int DELETE_DATA = 10;
|
||||
|
||||
private SuggestHelper sh;
|
||||
|
||||
@Override
|
||||
protected void setUp() {
|
||||
int[] resId = new int[] { R.raw.test };
|
||||
sh = new SuggestHelper(TAG, getTestContext(), resId, MAX_DATA, DELETE_DATA);
|
||||
}
|
||||
|
||||
/************************** Tests ************************/
|
||||
|
||||
/**
|
||||
* Test suggestion started at right time
|
||||
*/
|
||||
public void testUserBigram() {
|
||||
for (int i = 0; i < SUGGESTION_STARTS; i++) sh.addToUserBigram(pair1);
|
||||
for (int i = 0; i < (SUGGESTION_STARTS - 1); i++) sh.addToUserBigram(pair2);
|
||||
|
||||
assertTrue(sh.isUserBigramSuggestion("user", 'b', "bigram"));
|
||||
assertFalse(sh.isUserBigramSuggestion("android", 'p', "platform"));
|
||||
}
|
||||
|
||||
/**
|
||||
* Test loading correct (locale) bigrams
|
||||
*/
|
||||
public void testOpenAndClose() {
|
||||
for (int i = 0; i < SUGGESTION_STARTS; i++) sh.addToUserBigram(pair1);
|
||||
assertTrue(sh.isUserBigramSuggestion("user", 'b', "bigram"));
|
||||
|
||||
// change to fr_FR
|
||||
sh.changeUserBigramLocale(getTestContext(), Locale.FRANCE);
|
||||
for (int i = 0; i < SUGGESTION_STARTS; i++) sh.addToUserBigram(pair3);
|
||||
assertTrue(sh.isUserBigramSuggestion("locale", 'f', "france"));
|
||||
assertFalse(sh.isUserBigramSuggestion("user", 'b', "bigram"));
|
||||
|
||||
// change back to en_US
|
||||
sh.changeUserBigramLocale(getTestContext(), Locale.US);
|
||||
assertFalse(sh.isUserBigramSuggestion("locale", 'f', "france"));
|
||||
assertTrue(sh.isUserBigramSuggestion("user", 'b', "bigram"));
|
||||
}
|
||||
|
||||
/**
|
||||
* Test data gets pruned when it is over maximum
|
||||
*/
|
||||
public void testPruningData() {
|
||||
for (int i = 0; i < SUGGESTION_STARTS; i++) sh.addToUserBigram(sentence0);
|
||||
sh.flushUserBigrams();
|
||||
assertTrue(sh.isUserBigramSuggestion("Hello", 'w', "world"));
|
||||
|
||||
sh.addToUserBigram(sentence1);
|
||||
sh.addToUserBigram(sentence2);
|
||||
assertTrue(sh.isUserBigramSuggestion("Hello", 'w', "world"));
|
||||
|
||||
// pruning should happen
|
||||
sh.addToUserBigram(sentence3);
|
||||
sh.addToUserBigram(sentence4);
|
||||
|
||||
// trying to reopen database to check pruning happened in database
|
||||
sh.changeUserBigramLocale(getTestContext(), Locale.US);
|
||||
assertFalse(sh.isUserBigramSuggestion("Hello", 'w', "world"));
|
||||
}
|
||||
|
||||
final String[] pair1 = new String[] {"user", "bigram"};
|
||||
final String[] pair2 = new String[] {"android","platform"};
|
||||
final String[] pair3 = new String[] {"locale", "france"};
|
||||
final String sentence0 = "Hello world";
|
||||
final String sentence1 = "This is a test for user input based bigram";
|
||||
final String sentence2 = "It learns phrases that contain both dictionary and nondictionary "
|
||||
+ "words";
|
||||
final String sentence3 = "This should give better suggestions than the previous version";
|
||||
final String sentence4 = "Android stock keyboard is improving";
|
||||
}
|
Loading…
Reference in New Issue