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* Copyright (C) 2008 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.text.TextUtils;
import com.android.inputmethod.keyboard.ProximityInfo;
import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
import java.util.ArrayList;
import java.util.Arrays;
/**
* Implements a static, compacted, binary dictionary of standard words.
*/
public class BinaryDictionary extends Dictionary {
public static final String DICTIONARY_PACK_AUTHORITY =
"com.android.inputmethod.latin.dictionarypack";
* There is a difference between what java and native code can handle.
* This value should only be used in BinaryDictionary.java
* It is necessary to keep it at this value because some languages e.g. German have
* really long words.
*/
public static final int MAX_WORDS = 18;
private static final String TAG = "BinaryDictionary";
private static final int MAX_BIGRAMS = 60;
private static final int TYPED_LETTER_MULTIPLIER = 2;
private int mDicTypeId;
private final int[] mInputCodes = new int[MAX_WORD_LENGTH];
private final char[] mOutputChars = new char[MAX_WORD_LENGTH * MAX_WORDS];
private final char[] mOutputChars_bigrams = new char[MAX_WORD_LENGTH * MAX_BIGRAMS];
private final int[] mSpaceIndices = new int[MAX_SPACES];
private final int[] mScores = new int[MAX_WORDS];
private final int[] mBigramScores = new int[MAX_BIGRAMS];
private final boolean mUseFullEditDistance;
* Constructor for the binary dictionary. This is supposed to be called from the
* dictionary factory.
* All implementations should pass null into flagArray, except for testing purposes.
* @param context the context to access the environment from.
* @param filename the name of the file to read through native code.
* @param offset the offset of the dictionary data within the file.
* @param length the length of the binary data.
* @param useFullEditDistance whether to use the full edit distance in suggestions
* @param dicTypeId the dictionary type id of the dictionary
public BinaryDictionary(final Context context,
final String filename, final long offset, final long length,
final boolean useFullEditDistance, final Locale locale, final int dicTypeId) {
mDicTypeId = dicTypeId;
mUseFullEditDistance = useFullEditDistance;
loadDictionary(filename, offset, length);
JniUtils.loadNativeLibrary();
private native long openNative(String sourceDir, long dictOffset, long dictSize,
int typedLetterMultiplier, int fullWordMultiplier, int maxWordLength, int maxWords);
private native int getFrequencyNative(long dict, int[] word, int wordLength);
private native boolean isValidBigramNative(long dict, int[] word1, int[] word2);
private native int getSuggestionsNative(long dict, long proximityInfo, int[] xCoordinates,
int[] yCoordinates, int[] times, int[] pointerIds, int[] inputCodes, int codesSize,
int commitPoint, boolean isGesture, int dicTypeId,
int[] prevWordCodePointArray, boolean useFullEditDistance, char[] outputChars,
int[] scores, int[] outputIndices);
private native int getBigramsNative(long dict, int[] prevWord, int prevWordLength,
int[] inputCodes, int inputCodesLength, char[] outputChars, int[] scores,
private static native float calcNormalizedScoreNative(
char[] before, int beforeLength, char[] after, int afterLength, int score);
private static native int editDistanceNative(
char[] before, int beforeLength, char[] after, int afterLength);
private final void loadDictionary(String path, long startOffset, long length) {
mNativeDict = openNative(path, startOffset, length,
TYPED_LETTER_MULTIPLIER, FULL_WORD_SCORE_MULTIPLIER, MAX_WORD_LENGTH, MAX_WORDS);
}
@Override
public void getBigrams(final WordComposer codes, final CharSequence previousWord,
final WordCallback callback) {
int[] codePoints = StringUtils.toCodePointArray(previousWord.toString());
Arrays.fill(mOutputChars_bigrams, (char) 0);
int codesSize = codes.size();
Arrays.fill(mInputCodes, -1);
if (codesSize > 0) {
int count = getBigramsNative(mNativeDict, codePoints, codePoints.length, mInputCodes,
codesSize, mOutputChars_bigrams, mBigramScores, MAX_WORD_LENGTH, MAX_BIGRAMS);
if (count > MAX_BIGRAMS) {
count = MAX_BIGRAMS;
}
final ArrayList<SuggestedWordInfo> suggestions = new ArrayList<SuggestedWordInfo>();
for (int j = 0; j < count; ++j) {
if (codesSize > 0 && mBigramScores[j] < 1) break;
final int start = j * MAX_WORD_LENGTH;
while (len < MAX_WORD_LENGTH && mOutputChars_bigrams[start + len] != 0) {
++len;
suggestions.add(new SuggestedWordInfo(
new String(mOutputChars_bigrams, start, len),
mBigramScores[j], SuggestedWordInfo.KIND_CORRECTION));
Utils.addAllSuggestions(mDicTypeId, Dictionary.BIGRAM, suggestions, callback);
// proximityInfo and/or prevWordForBigrams may not be null.
@Override
public void getWords(final WordComposer codes, final CharSequence prevWordForBigrams,
final WordCallback callback, final ProximityInfo proximityInfo) {
final int count = getSuggestions(codes, prevWordForBigrams, proximityInfo, mOutputChars,
mScores, mSpaceIndices);
final ArrayList<SuggestedWordInfo> suggestions = new ArrayList<SuggestedWordInfo>();
for (int j = 0; j < count; ++j) {
final int start = j * MAX_WORD_LENGTH;
int len = 0;
while (len < MAX_WORD_LENGTH && mOutputChars[start + len] != 0) {
++len;
}
if (len > 0) {
// TODO: actually get the kind from native code
suggestions.add(new SuggestedWordInfo(
new String(mOutputChars, start, len),
mScores[j], SuggestedWordInfo.KIND_CORRECTION));
Utils.addAllSuggestions(mDicTypeId, Dictionary.UNIGRAM, suggestions, callback);
}
/* package for test */ boolean isValidDictionary() {
return mNativeDict != 0;
}
// proximityInfo may not be null.
/* package for test */ int getSuggestions(final WordComposer codes,
final CharSequence prevWordForBigrams, final ProximityInfo proximityInfo,
char[] outputChars, int[] scores, int[] spaceIndices) {
if (!isValidDictionary()) return -1;
final int codesSize = codes.size();
// Won't deal with really long words.
if (codesSize > MAX_WORD_LENGTH - 1) return -1;
Arrays.fill(mInputCodes, WordComposer.NOT_A_CODE);
for (int i = 0; i < codesSize; i++) {
Arrays.fill(outputChars, (char) 0);
// TODO: toLowerCase in the native code
final int[] prevWordCodePointArray = (null == prevWordForBigrams)
? null : StringUtils.toCodePointArray(prevWordForBigrams.toString());
int[] emptyArray = new int[codesSize];
Arrays.fill(emptyArray, 0);
//final int commitPoint = codes.getCommitPoint();
//codes.clearCommitPoint();
return getSuggestionsNative(mNativeDict, proximityInfo.getNativeProximityInfo(),
codes.getXCoordinates(), codes.getYCoordinates(), emptyArray, emptyArray, mInputCodes,
codesSize, 0 /* unused */, false, mDicTypeId,
prevWordCodePointArray, mUseFullEditDistance,
outputChars, scores, spaceIndices);
public static float calcNormalizedScore(String before, String after, int score) {
return calcNormalizedScoreNative(before.toCharArray(), before.length(),
after.toCharArray(), after.length(), score);
}
public static int editDistance(String before, String after) {
return editDistanceNative(
before.toCharArray(), before.length(), after.toCharArray(), after.length());
}
@Override
public boolean isValidWord(CharSequence word) {
return getFrequency(word) >= 0;
}
@Override
public int getFrequency(CharSequence word) {
if (word == null) return -1;
int[] chars = StringUtils.toCodePointArray(word.toString());
return getFrequencyNative(mNativeDict, chars, chars.length);
// TODO: Add a batch process version (isValidBigramMultiple?) to avoid excessive numbers of jni
// calls when checking for changes in an entire dictionary.
public boolean isValidBigram(CharSequence word1, CharSequence word2) {
if (TextUtils.isEmpty(word1) || TextUtils.isEmpty(word2)) return false;
int[] chars1 = StringUtils.toCodePointArray(word1.toString());
int[] chars2 = StringUtils.toCodePointArray(word2.toString());
return isValidBigramNative(mNativeDict, chars1, chars2);
}
public synchronized void close() {
closeInternal();
}
private void closeInternal() {
if (mNativeDict != 0) {
closeNative(mNativeDict);
mNativeDict = 0;
}
}
@Override
protected void finalize() throws Throwable {
try {
closeInternal();
} finally {
super.finalize();
}