LatinIME/java/src/com/android/inputmethod/latin/BinaryDictionary.java
Keisuke Kuroyanagi 50db5f0fff Passing options to native suggestion method.
Change-Id: I6da180cfa1b9e5aa39600e78e3bc41209a40f583
Signed-off-by: Keisuke Kuroyanagi <ksk@google.com>
2013-05-24 10:21:04 -07:00

242 lines
10 KiB
Java

/*
* 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 android.util.SparseArray;
import com.android.inputmethod.keyboard.ProximityInfo;
import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Locale;
/**
* Implements a static, compacted, binary dictionary of standard words.
*/
public final class BinaryDictionary extends Dictionary {
private static final String TAG = BinaryDictionary.class.getSimpleName();
// Must be equal to MAX_WORD_LENGTH in native/jni/src/defines.h
private static final int MAX_WORD_LENGTH = Constants.Dictionary.MAX_WORD_LENGTH;
// Must be equal to MAX_RESULTS in native/jni/src/defines.h
private static final int MAX_RESULTS = 18;
private long mNativeDict;
private final Locale mLocale;
private final int[] mInputCodePoints = new int[MAX_WORD_LENGTH];
private final int[] mOutputCodePoints = new int[MAX_WORD_LENGTH * MAX_RESULTS];
private final int[] mSpaceIndices = new int[MAX_RESULTS];
private final int[] mOutputScores = new int[MAX_RESULTS];
private final int[] mOutputTypes = new int[MAX_RESULTS];
private final NativeSuggestOptions mNativeSuggestOptions = new NativeSuggestOptions();
private final SparseArray<DicTraverseSession> mDicTraverseSessions =
CollectionUtils.newSparseArray();
// TODO: There should be a way to remove used DicTraverseSession objects from
// {@code mDicTraverseSessions}.
private DicTraverseSession getTraverseSession(final int traverseSessionId) {
synchronized(mDicTraverseSessions) {
DicTraverseSession traverseSession = mDicTraverseSessions.get(traverseSessionId);
if (traverseSession == null) {
traverseSession = mDicTraverseSessions.get(traverseSessionId);
if (traverseSession == null) {
traverseSession = new DicTraverseSession(mLocale, mNativeDict);
mDicTraverseSessions.put(traverseSessionId, traverseSession);
}
}
return traverseSession;
}
}
/**
* Constructor for the binary dictionary. This is supposed to be called from the
* dictionary factory.
* @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 dictType the dictionary type, as a human-readable string
*/
public BinaryDictionary(final String filename, final long offset, final long length,
final boolean useFullEditDistance, final Locale locale, final String dictType) {
super(dictType);
mLocale = locale;
mNativeSuggestOptions.setUseFullEditDistance(useFullEditDistance);
loadDictionary(filename, offset, length);
}
static {
JniUtils.loadNativeLibrary();
}
private static native long openNative(String sourceDir, long dictOffset, long dictSize);
private static native void closeNative(long dict);
private static native int getProbabilityNative(long dict, int[] word);
private static native boolean isValidBigramNative(long dict, int[] word1, int[] word2);
private static native int getSuggestionsNative(long dict, long proximityInfo,
long traverseSession, int[] xCoordinates, int[] yCoordinates, int[] times,
int[] pointerIds, int[] inputCodePoints, int inputSize, int commitPoint,
int[] suggestOptions, int[] prevWordCodePointArray,
int[] outputCodePoints, int[] outputScores, int[] outputIndices, int[] outputTypes);
private static native float calcNormalizedScoreNative(int[] before, int[] after, int score);
private static native int editDistanceNative(int[] before, int[] after);
// TODO: Move native dict into session
private final void loadDictionary(final String path, final long startOffset,
final long length) {
mNativeDict = openNative(path, startOffset, length);
}
@Override
public ArrayList<SuggestedWordInfo> getSuggestions(final WordComposer composer,
final String prevWord, final ProximityInfo proximityInfo,
final boolean blockOffensiveWords) {
return getSuggestionsWithSessionId(composer, prevWord, proximityInfo, blockOffensiveWords,
0 /* sessionId */);
}
@Override
public ArrayList<SuggestedWordInfo> getSuggestionsWithSessionId(final WordComposer composer,
final String prevWord, final ProximityInfo proximityInfo,
final boolean blockOffensiveWords, final int sessionId) {
if (!isValidDictionary()) return null;
Arrays.fill(mInputCodePoints, Constants.NOT_A_CODE);
// TODO: toLowerCase in the native code
final int[] prevWordCodePointArray = (null == prevWord)
? null : StringUtils.toCodePointArray(prevWord);
final int composerSize = composer.size();
final boolean isGesture = composer.isBatchMode();
if (composerSize <= 1 || !isGesture) {
if (composerSize > MAX_WORD_LENGTH - 1) return null;
for (int i = 0; i < composerSize; i++) {
mInputCodePoints[i] = composer.getCodeAt(i);
}
}
final InputPointers ips = composer.getInputPointers();
final int inputSize = isGesture ? ips.getPointerSize() : composerSize;
mNativeSuggestOptions.setIsGesture(isGesture);
// proximityInfo and/or prevWordForBigrams may not be null.
final int count = getSuggestionsNative(mNativeDict, proximityInfo.getNativeProximityInfo(),
getTraverseSession(sessionId).getSession(), ips.getXCoordinates(),
ips.getYCoordinates(), ips.getTimes(), ips.getPointerIds(), mInputCodePoints,
inputSize, 0 /* commitPoint */, mNativeSuggestOptions.getOptions(),
prevWordCodePointArray, mOutputCodePoints, mOutputScores, mSpaceIndices,
mOutputTypes);
final ArrayList<SuggestedWordInfo> suggestions = CollectionUtils.newArrayList();
for (int j = 0; j < count; ++j) {
final int start = j * MAX_WORD_LENGTH;
int len = 0;
while (len < MAX_WORD_LENGTH && mOutputCodePoints[start + len] != 0) {
++len;
}
if (len > 0) {
final int flags = mOutputTypes[j] & SuggestedWordInfo.KIND_MASK_FLAGS;
if (blockOffensiveWords
&& 0 != (flags & SuggestedWordInfo.KIND_FLAG_POSSIBLY_OFFENSIVE)
&& 0 == (flags & SuggestedWordInfo.KIND_FLAG_EXACT_MATCH)) {
// If we block potentially offensive words, and if the word is possibly
// offensive, then we don't output it unless it's also an exact match.
continue;
}
final int kind = mOutputTypes[j] & SuggestedWordInfo.KIND_MASK_KIND;
final int score = SuggestedWordInfo.KIND_WHITELIST == kind
? SuggestedWordInfo.MAX_SCORE : mOutputScores[j];
// TODO: check that all users of the `kind' parameter are ready to accept
// flags too and pass mOutputTypes[j] instead of kind
suggestions.add(new SuggestedWordInfo(new String(mOutputCodePoints, start, len),
score, kind, mDictType));
}
}
return suggestions;
}
public boolean isValidDictionary() {
return mNativeDict != 0;
}
public static float calcNormalizedScore(final String before, final String after,
final int score) {
return calcNormalizedScoreNative(StringUtils.toCodePointArray(before),
StringUtils.toCodePointArray(after), score);
}
public static int editDistance(final String before, final String after) {
if (before == null || after == null) {
throw new IllegalArgumentException();
}
return editDistanceNative(StringUtils.toCodePointArray(before),
StringUtils.toCodePointArray(after));
}
@Override
public boolean isValidWord(final String word) {
return getFrequency(word) >= 0;
}
@Override
public int getFrequency(final String word) {
if (word == null) return -1;
int[] codePoints = StringUtils.toCodePointArray(word);
return getProbabilityNative(mNativeDict, codePoints);
}
// 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(final String word1, final String word2) {
if (TextUtils.isEmpty(word1) || TextUtils.isEmpty(word2)) return false;
final int[] codePoints1 = StringUtils.toCodePointArray(word1);
final int[] codePoints2 = StringUtils.toCodePointArray(word2);
return isValidBigramNative(mNativeDict, codePoints1, codePoints2);
}
@Override
public void close() {
synchronized (mDicTraverseSessions) {
final int sessionsSize = mDicTraverseSessions.size();
for (int index = 0; index < sessionsSize; ++index) {
final DicTraverseSession traverseSession = mDicTraverseSessions.valueAt(index);
if (traverseSession != null) {
traverseSession.close();
}
}
}
closeInternal();
}
private synchronized void closeInternal() {
if (mNativeDict != 0) {
closeNative(mNativeDict);
mNativeDict = 0;
}
}
@Override
protected void finalize() throws Throwable {
try {
closeInternal();
} finally {
super.finalize();
}
}
}