Implement addMultipleDictionaryEntries as a jni method.
Bug: 11757169 Change-Id: Ie1569e0b3c0503588ebfe5d09c7ca06116f54485
This commit is contained in:
parent
0e8dbe0284
commit
ca16be7552
6 changed files with 175 additions and 65 deletions
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@ -137,6 +137,8 @@ public final class BinaryDictionary extends Dictionary {
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private static native void addBigramWordsNative(long dict, int[] word0, int[] word1,
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private static native void addBigramWordsNative(long dict, int[] word0, int[] word1,
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int probability);
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int probability);
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private static native void removeBigramWordsNative(long dict, int[] word0, int[] word1);
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private static native void removeBigramWordsNative(long dict, int[] word0, int[] word1);
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private static native int addMultipleDictionaryEntriesNative(long dict,
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LanguageModelParam[] languageModelParams, int startIndex);
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private static native int calculateProbabilityNative(long dict, int unigramProbability,
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private static native int calculateProbabilityNative(long dict, int unigramProbability,
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int bigramProbability);
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int bigramProbability);
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private static native String getPropertyNative(long dict, String query);
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private static native String getPropertyNative(long dict, String query);
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@ -303,6 +305,46 @@ public final class BinaryDictionary extends Dictionary {
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removeBigramWordsNative(mNativeDict, codePoints0, codePoints1);
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removeBigramWordsNative(mNativeDict, codePoints0, codePoints1);
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}
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}
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public static class LanguageModelParam {
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public final int[] mWord0;
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public final int[] mWord1;
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public final int mUnigramProbability;
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public final int mBigramProbability;
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// Constructor for unigram.
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public LanguageModelParam(final String word, final int unigramProbability) {
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mWord0 = null;
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mWord1 = StringUtils.toCodePointArray(word);
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mUnigramProbability = unigramProbability;
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mBigramProbability = NOT_A_PROBABILITY;
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}
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// Constructor for unigram and bigram.
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public LanguageModelParam(final String word0, final String word1,
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final int unigramProbability, final int bigramProbability) {
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mWord0 = StringUtils.toCodePointArray(word0);
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mWord1 = StringUtils.toCodePointArray(word1);
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mUnigramProbability = unigramProbability;
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mBigramProbability = bigramProbability;
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}
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}
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public void addMultipleDictionaryEntries(final LanguageModelParam[] languageModelParams) {
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if (!isValidDictionary()) return;
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int processedParamCount = 0;
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while (processedParamCount < languageModelParams.length) {
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if (needsToRunGC(true /* mindsBlockByGC */)) {
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flushWithGC();
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}
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processedParamCount = addMultipleDictionaryEntriesNative(mNativeDict,
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languageModelParams, processedParamCount);
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if (processedParamCount <= 0) {
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return;
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}
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}
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}
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private void reopen() {
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private void reopen() {
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close();
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close();
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final File dictFile = new File(mDictFilePath);
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final File dictFile = new File(mDictFilePath);
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@ -22,6 +22,7 @@ import android.util.Log;
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import com.android.inputmethod.annotations.UsedForTesting;
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import com.android.inputmethod.annotations.UsedForTesting;
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import com.android.inputmethod.keyboard.ProximityInfo;
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import com.android.inputmethod.keyboard.ProximityInfo;
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import com.android.inputmethod.latin.BinaryDictionary.LanguageModelParam;
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import com.android.inputmethod.latin.makedict.FormatSpec;
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import com.android.inputmethod.latin.makedict.FormatSpec;
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import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
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import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
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import com.android.inputmethod.latin.utils.AsyncResultHolder;
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import com.android.inputmethod.latin.utils.AsyncResultHolder;
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@ -326,7 +327,7 @@ abstract public class ExpandableBinaryDictionary extends Dictionary {
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* Dynamically adds a word bigram in the dictionary. May overwrite an existing entry.
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* Dynamically adds a word bigram in the dictionary. May overwrite an existing entry.
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*/
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*/
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protected void addBigramDynamically(final String word0, final String word1,
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protected void addBigramDynamically(final String word0, final String word1,
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final int frequency, final boolean isValid) {
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final int frequency) {
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if (!mIsUpdatable) {
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if (!mIsUpdatable) {
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Log.w(TAG, "addBigramDynamically is called for non-updatable dictionary: "
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Log.w(TAG, "addBigramDynamically is called for non-updatable dictionary: "
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+ mFilename);
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+ mFilename);
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@ -363,22 +364,6 @@ abstract public class ExpandableBinaryDictionary extends Dictionary {
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public void onFinished();
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public void onFinished();
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}
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}
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public static class LanguageModelParam {
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public final String mWord0;
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public final String mWord1;
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public final boolean mIsValid;
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public final int mFrequency;
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public final int mBigramFrequency;
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public LanguageModelParam(final String word0, final String word1, final boolean isValid,
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final int frequency, final int bigramFrequency) {
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mWord0 = word0;
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mWord1 = word1;
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mIsValid = isValid;
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mFrequency = frequency;
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mBigramFrequency = bigramFrequency;
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}
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}
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/**
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/**
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* Dynamically add multiple entries to the dictionary.
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* Dynamically add multiple entries to the dictionary.
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*/
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*/
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@ -395,21 +380,9 @@ abstract public class ExpandableBinaryDictionary extends Dictionary {
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public void run() {
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public void run() {
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final boolean locked = setProcessingLargeTaskIfNot();
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final boolean locked = setProcessingLargeTaskIfNot();
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try {
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try {
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for (final LanguageModelParam languageModelParam : languageModelParams) {
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mBinaryDictionary.addMultipleDictionaryEntries(
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if (languageModelParam.mWord1 == null) {
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languageModelParams.toArray(
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continue;
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new LanguageModelParam[languageModelParams.size()]));
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}
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if (mBinaryDictionary.needsToRunGC(true /* mindsBlockByGC */)) {
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mBinaryDictionary.flushWithGC();
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}
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mBinaryDictionary.addUnigramWord(languageModelParam.mWord1,
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languageModelParam.mFrequency);
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if (languageModelParam.mWord0 != null
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&& !languageModelParam.mWord0.equals(languageModelParam.mWord1)) {
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mBinaryDictionary.addBigramWords(languageModelParam.mWord0,
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languageModelParam.mWord1, languageModelParam.mBigramFrequency);
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}
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}
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} finally {
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} finally {
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if (callback != null) {
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if (callback != null) {
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callback.onFinished();
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callback.onFinished();
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@ -21,6 +21,7 @@ import android.content.SharedPreferences;
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import android.util.Log;
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import android.util.Log;
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import com.android.inputmethod.annotations.UsedForTesting;
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import com.android.inputmethod.annotations.UsedForTesting;
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import com.android.inputmethod.latin.BinaryDictionary.LanguageModelParam;
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import com.android.inputmethod.latin.Constants;
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import com.android.inputmethod.latin.Constants;
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import com.android.inputmethod.latin.Dictionary;
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import com.android.inputmethod.latin.Dictionary;
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import com.android.inputmethod.latin.ExpandableBinaryDictionary;
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import com.android.inputmethod.latin.ExpandableBinaryDictionary;
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@ -147,7 +148,7 @@ public abstract class DecayingExpandableBinaryDictionaryBase extends ExpandableB
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return;
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return;
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}
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}
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if (null != word0) {
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if (null != word0) {
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addBigramDynamically(word0, word1, frequency, isValid);
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addBigramDynamically(word0, word1, frequency);
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}
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}
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}
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}
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@ -18,6 +18,7 @@ package com.android.inputmethod.latin.personalization;
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import android.content.Context;
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import android.content.Context;
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import com.android.inputmethod.latin.BinaryDictionary.LanguageModelParam;
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import com.android.inputmethod.latin.ExpandableBinaryDictionary;
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import com.android.inputmethod.latin.ExpandableBinaryDictionary;
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import java.lang.ref.WeakReference;
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import java.lang.ref.WeakReference;
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@ -28,24 +29,6 @@ import java.util.ArrayList;
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* dictionary.
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* dictionary.
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*/
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*/
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public abstract class PersonalizationDictionaryUpdateSession {
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public abstract class PersonalizationDictionaryUpdateSession {
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/**
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* This class is a parameter for a new unigram or bigram word which will be added
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* to the personalization dictionary.
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*/
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public static class PersonalizationLanguageModelParam {
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public final String mWord0;
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public final String mWord1;
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public final boolean mIsValid;
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public final int mFrequency;
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public PersonalizationLanguageModelParam(String word0, String word1, boolean isValid,
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int frequency) {
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mWord0 = word0;
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mWord1 = word1;
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mIsValid = isValid;
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mFrequency = frequency;
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}
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}
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// TODO: Use a dynamic binary dictionary instead
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// TODO: Use a dynamic binary dictionary instead
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public WeakReference<PersonalizationDictionary> mDictionary;
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public WeakReference<PersonalizationDictionary> mDictionary;
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public WeakReference<DecayingExpandableBinaryDictionaryBase> mPredictionDictionary;
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public WeakReference<DecayingExpandableBinaryDictionaryBase> mPredictionDictionary;
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@ -117,7 +100,7 @@ public abstract class PersonalizationDictionaryUpdateSession {
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// TODO: Support multi locale.
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// TODO: Support multi locale.
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public void addMultipleDictionaryEntriesToPersonalizationDictionary(
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public void addMultipleDictionaryEntriesToPersonalizationDictionary(
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final ArrayList<ExpandableBinaryDictionary.LanguageModelParam> languageModelParams,
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final ArrayList<LanguageModelParam> languageModelParams,
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final ExpandableBinaryDictionary.AddMultipleDictionaryEntriesCallback callback) {
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final ExpandableBinaryDictionary.AddMultipleDictionaryEntriesCallback callback) {
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final DecayingExpandableBinaryDictionaryBase dictionary = getPredictionDictionary();
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final DecayingExpandableBinaryDictionaryBase dictionary = getPredictionDictionary();
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if (dictionary == null) {
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if (dictionary == null) {
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@ -128,17 +111,4 @@ public abstract class PersonalizationDictionaryUpdateSession {
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}
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}
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dictionary.addMultipleDictionaryEntriesToDictionary(languageModelParams, callback);
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dictionary.addMultipleDictionaryEntriesToDictionary(languageModelParams, callback);
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}
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}
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// Bulk import
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// TODO: Support multi locale to add bigram
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public void addBigramsToPersonalizationDictionary(
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final ArrayList<PersonalizationLanguageModelParam> lmParams) {
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final DecayingExpandableBinaryDictionaryBase dictionary = getPredictionDictionary();
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if (dictionary == null) {
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return;
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}
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for (final PersonalizationLanguageModelParam lmParam : lmParams) {
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dictionary.addToDictionary(lmParam.mWord0, lmParam.mWord1, lmParam.mIsValid);
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}
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}
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}
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}
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@ -320,6 +320,60 @@ static void latinime_BinaryDictionary_removeBigramWords(JNIEnv *env, jclass claz
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word1Length);
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word1Length);
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}
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}
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// Returns how many language model params are processed.
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static int latinime_BinaryDictionary_addMultipleDictionaryEntries(JNIEnv *env, jclass clazz,
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jlong dict, jobjectArray languageModelParams, jint startIndex) {
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Dictionary *dictionary = reinterpret_cast<Dictionary *>(dict);
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if (!dictionary) {
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return 0;
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}
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jsize languageModelParamCount = env->GetArrayLength(languageModelParams);
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if (languageModelParamCount == 0 || startIndex >= languageModelParamCount) {
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return 0;
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}
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jobject languageModelParam = env->GetObjectArrayElement(languageModelParams, 0);
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jclass languageModelParamClass = env->GetObjectClass(languageModelParam);
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env->DeleteLocalRef(languageModelParam);
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jfieldID word0FieldId = env->GetFieldID(languageModelParamClass, "mWord0", "[I");
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jfieldID word1FieldId = env->GetFieldID(languageModelParamClass, "mWord1", "[I");
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jfieldID unigramProbabilityFieldId =
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env->GetFieldID(languageModelParamClass, "mUnigramProbability", "I");
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jfieldID bigramProbabilityFieldId =
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env->GetFieldID(languageModelParamClass, "mBigramProbability", "I");
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env->DeleteLocalRef(languageModelParamClass);
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for (int i = startIndex; i < languageModelParamCount; ++i) {
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jobject languageModelParam = env->GetObjectArrayElement(languageModelParams, i);
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jintArray word0 = static_cast<jintArray>(
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env->GetObjectField(languageModelParam, word0FieldId));
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jsize word0Length = word0 ? env->GetArrayLength(word0) : 0;
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int word0CodePoints[word0Length];
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if (word0) {
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env->GetIntArrayRegion(word0, 0, word0Length, word0CodePoints);
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}
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jintArray word1 = static_cast<jintArray>(
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env->GetObjectField(languageModelParam, word1FieldId));
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jsize word1Length = env->GetArrayLength(word1);
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int word1CodePoints[word1Length];
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env->GetIntArrayRegion(word1, 0, word1Length, word1CodePoints);
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jint unigramProbability = env->GetIntField(languageModelParam, unigramProbabilityFieldId);
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dictionary->addUnigramWord(word1CodePoints, word1Length, unigramProbability);
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if (word0) {
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jint bigramProbability = env->GetIntField(languageModelParam, bigramProbabilityFieldId);
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dictionary->addBigramWords(word0CodePoints, word0Length, word1CodePoints, word1Length,
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bigramProbability);
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}
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if (dictionary->needsToRunGC(true /* mindsBlockByGC */)) {
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return i + 1;
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}
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env->DeleteLocalRef(word0);
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env->DeleteLocalRef(word1);
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env->DeleteLocalRef(languageModelParam);
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}
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return languageModelParamCount;
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}
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static int latinime_BinaryDictionary_calculateProbabilityNative(JNIEnv *env, jclass clazz,
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static int latinime_BinaryDictionary_calculateProbabilityNative(JNIEnv *env, jclass clazz,
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jlong dict, jint unigramProbability, jint bigramProbability) {
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jlong dict, jint unigramProbability, jint bigramProbability) {
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Dictionary *dictionary = reinterpret_cast<Dictionary *>(dict);
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Dictionary *dictionary = reinterpret_cast<Dictionary *>(dict);
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@ -418,6 +472,12 @@ static const JNINativeMethod sMethods[] = {
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const_cast<char *>("(J[I[I)V"),
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const_cast<char *>("(J[I[I)V"),
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reinterpret_cast<void *>(latinime_BinaryDictionary_removeBigramWords)
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reinterpret_cast<void *>(latinime_BinaryDictionary_removeBigramWords)
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},
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},
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{
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const_cast<char *>("addMultipleDictionaryEntriesNative"),
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const_cast<char *>(
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"(J[Lcom/android/inputmethod/latin/BinaryDictionary$LanguageModelParam;I)I"),
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reinterpret_cast<void *>(latinime_BinaryDictionary_addMultipleDictionaryEntries)
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},
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{
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{
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const_cast<char *>("calculateProbabilityNative"),
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const_cast<char *>("calculateProbabilityNative"),
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const_cast<char *>("(JII)I"),
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const_cast<char *>("(JII)I"),
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@ -21,6 +21,7 @@ import android.test.suitebuilder.annotation.LargeTest;
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import android.text.TextUtils;
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import android.text.TextUtils;
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import android.util.Pair;
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import android.util.Pair;
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import com.android.inputmethod.latin.BinaryDictionary.LanguageModelParam;
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import com.android.inputmethod.latin.makedict.CodePointUtils;
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import com.android.inputmethod.latin.makedict.CodePointUtils;
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import com.android.inputmethod.latin.makedict.FormatSpec;
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import com.android.inputmethod.latin.makedict.FormatSpec;
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@ -33,6 +34,7 @@ import java.util.Locale;
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import java.util.Map;
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import java.util.Map;
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import java.util.Random;
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import java.util.Random;
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// TODO Use the seed passed as an argument for makedict test.
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@LargeTest
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@LargeTest
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public class BinaryDictionaryTests extends AndroidTestCase {
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public class BinaryDictionaryTests extends AndroidTestCase {
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private static final String TEST_DICT_FILE_EXTENSION = ".testDict";
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private static final String TEST_DICT_FILE_EXTENSION = ".testDict";
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@ -776,4 +778,66 @@ public class BinaryDictionaryTests extends AndroidTestCase {
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dictFile.delete();
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dictFile.delete();
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}
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}
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public void testAddMultipleDictionaryEntries() {
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testAddMultipleDictionaryEntries(3 /* formatVersion */);
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testAddMultipleDictionaryEntries(4 /* formatVersion */);
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}
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private void testAddMultipleDictionaryEntries(final int formatVersion) {
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final int codePointSetSize = 20;
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final int lmParamCount = 1000;
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final double bigramContinueRate = 0.9;
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final long seed = System.currentTimeMillis();
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final Random random = new Random(seed);
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File dictFile = null;
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try {
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dictFile = createEmptyDictionaryAndGetFile("TestBinaryDictionary", formatVersion);
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} catch (IOException e) {
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fail("IOException while writing an initial dictionary : " + e);
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}
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final int[] codePointSet = CodePointUtils.generateCodePointSet(codePointSetSize, random);
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final HashMap<String, Integer> unigramProbabilities = new HashMap<String, Integer>();
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final HashMap<Pair<String, String>, Integer> bigramProbabilities =
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new HashMap<Pair<String, String>, Integer>();
|
||||||
|
|
||||||
|
final LanguageModelParam[] languageModelParams = new LanguageModelParam[lmParamCount];
|
||||||
|
String prevWord = null;
|
||||||
|
for (int i = 0; i < languageModelParams.length; i++) {
|
||||||
|
final String word = CodePointUtils.generateWord(random, codePointSet);
|
||||||
|
final int probability = random.nextInt(0xFF);
|
||||||
|
final int bigramProbability = random.nextInt(0xF);
|
||||||
|
unigramProbabilities.put(word, probability);
|
||||||
|
if (prevWord == null) {
|
||||||
|
languageModelParams[i] = new LanguageModelParam(word, probability);
|
||||||
|
} else {
|
||||||
|
languageModelParams[i] = new LanguageModelParam(prevWord, word, probability,
|
||||||
|
bigramProbability);
|
||||||
|
bigramProbabilities.put(new Pair<String, String>(prevWord, word),
|
||||||
|
bigramProbability);
|
||||||
|
}
|
||||||
|
prevWord = (random.nextDouble() < bigramContinueRate) ? word : null;
|
||||||
|
}
|
||||||
|
|
||||||
|
final BinaryDictionary binaryDictionary = new BinaryDictionary(dictFile.getAbsolutePath(),
|
||||||
|
0 /* offset */, dictFile.length(), true /* useFullEditDistance */,
|
||||||
|
Locale.getDefault(), TEST_LOCALE, true /* isUpdatable */);
|
||||||
|
binaryDictionary.addMultipleDictionaryEntries(languageModelParams);
|
||||||
|
|
||||||
|
for (Map.Entry<String, Integer> entry : unigramProbabilities.entrySet()) {
|
||||||
|
assertEquals((int)entry.getValue(), binaryDictionary.getFrequency(entry.getKey()));
|
||||||
|
}
|
||||||
|
|
||||||
|
for (Map.Entry<Pair<String, String>, Integer> entry : bigramProbabilities.entrySet()) {
|
||||||
|
final String word0 = entry.getKey().first;
|
||||||
|
final String word1 = entry.getKey().second;
|
||||||
|
final int unigramProbability = unigramProbabilities.get(word1);
|
||||||
|
final int bigramProbability = entry.getValue();
|
||||||
|
final int probability = binaryDictionary.calculateProbability(
|
||||||
|
unigramProbability, bigramProbability);
|
||||||
|
assertEquals(probability, binaryDictionary.getBigramProbability(word0, word1));
|
||||||
|
}
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
|
Loading…
Reference in a new issue