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authorAmin Bandali <bandali@kelar.org>2024-12-16 21:45:41 -0500
committerAmin Bandali <bandali@kelar.org>2025-01-11 14:17:35 -0500
commite9a0e66716dab4dd3184d009d8920de1961efdfa (patch)
tree02dcc096643d74645bf28459c2834c3d4a2ad7f2 /tests/src/org/kelar/inputmethod/latin/makedict/FusionDictionary.java
parentfb3b9360d70596d7e921de8bf7d3ca99564a077e (diff)
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Rename to Kelar Keyboard (org.kelar.inputmethod.latin)
Diffstat (limited to 'tests/src/org/kelar/inputmethod/latin/makedict/FusionDictionary.java')
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diff --git a/tests/src/org/kelar/inputmethod/latin/makedict/FusionDictionary.java b/tests/src/org/kelar/inputmethod/latin/makedict/FusionDictionary.java
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+++ b/tests/src/org/kelar/inputmethod/latin/makedict/FusionDictionary.java
@@ -0,0 +1,646 @@
+/*
+ * Copyright (C) 2011 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 org.kelar.inputmethod.latin.makedict;
+
+import org.kelar.inputmethod.annotations.UsedForTesting;
+import org.kelar.inputmethod.latin.define.DecoderSpecificConstants;
+import org.kelar.inputmethod.latin.makedict.FormatSpec.DictionaryOptions;
+
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.Iterator;
+import java.util.LinkedList;
+
+/**
+ * A dictionary that can fusion heads and tails of words for more compression.
+ */
+@UsedForTesting
+public final class FusionDictionary implements Iterable<WordProperty> {
+ private static final boolean DBG = MakedictLog.DBG;
+
+ private static int CHARACTER_NOT_FOUND_INDEX = -1;
+
+ /**
+ * A node array of the dictionary, containing several PtNodes.
+ *
+ * A PtNodeArray is but an ordered array of PtNodes, which essentially contain all the
+ * real information.
+ * This class also contains fields to cache size and address, to help with binary
+ * generation.
+ */
+ public static final class PtNodeArray {
+ ArrayList<PtNode> mData;
+ // To help with binary generation
+ int mCachedSize = Integer.MIN_VALUE;
+ // mCachedAddressBefore/AfterUpdate are helpers for binary dictionary generation. They
+ // always hold the same value except between dictionary address compression, during which
+ // the update process needs to know about both values at the same time. Updating will
+ // update the AfterUpdate value, and the code will move them to BeforeUpdate before
+ // the next update pass.
+ int mCachedAddressBeforeUpdate = Integer.MIN_VALUE;
+ int mCachedAddressAfterUpdate = Integer.MIN_VALUE;
+ int mCachedParentAddress = 0;
+
+ public PtNodeArray() {
+ mData = new ArrayList<>();
+ }
+ public PtNodeArray(ArrayList<PtNode> data) {
+ Collections.sort(data, PTNODE_COMPARATOR);
+ mData = data;
+ }
+ }
+
+ /**
+ * PtNode is a group of characters, with probability information, shortcut targets, bigrams,
+ * and children (Pt means Patricia Trie).
+ *
+ * This is the central class of the in-memory representation. A PtNode is what can
+ * be seen as a traditional "trie node", except it can hold several characters at the
+ * same time. A PtNode essentially represents one or several characters in the middle
+ * of the trie tree; as such, it can be a terminal, and it can have children.
+ * In this in-memory representation, whether the PtNode is a terminal or not is represented
+ * by mProbabilityInfo. The PtNode is a terminal when the mProbabilityInfo is not null and the
+ * PtNode is not a terminal when the mProbabilityInfo is null. A terminal may have non-null
+ * shortcuts and/or bigrams, but a non-terminal may not. Moreover, children, if present,
+ * are non-null.
+ */
+ public static final class PtNode {
+ private static final int NOT_A_TERMINAL = -1;
+ final int mChars[];
+ ArrayList<WeightedString> mBigrams;
+ // null == mProbabilityInfo indicates this is not a terminal.
+ ProbabilityInfo mProbabilityInfo;
+ int mTerminalId; // NOT_A_TERMINAL == mTerminalId indicates this is not a terminal.
+ PtNodeArray mChildren;
+ boolean mIsNotAWord; // Only a shortcut
+ boolean mIsPossiblyOffensive;
+ // mCachedSize and mCachedAddressBefore/AfterUpdate are helpers for binary dictionary
+ // generation. Before and After always hold the same value except during dictionary
+ // address compression, where the update process needs to know about both values at the
+ // same time. Updating will update the AfterUpdate value, and the code will move them
+ // to BeforeUpdate before the next update pass.
+ // The update process does not need two versions of mCachedSize.
+ int mCachedSize; // The size, in bytes, of this PtNode.
+ int mCachedAddressBeforeUpdate; // The address of this PtNode (before update)
+ int mCachedAddressAfterUpdate; // The address of this PtNode (after update)
+
+ public PtNode(final int[] chars, final ArrayList<WeightedString> bigrams,
+ final ProbabilityInfo probabilityInfo, final boolean isNotAWord,
+ final boolean isPossiblyOffensive) {
+ mChars = chars;
+ mProbabilityInfo = probabilityInfo;
+ mTerminalId = probabilityInfo == null ? NOT_A_TERMINAL : probabilityInfo.mProbability;
+ mBigrams = bigrams;
+ mChildren = null;
+ mIsNotAWord = isNotAWord;
+ mIsPossiblyOffensive = isPossiblyOffensive;
+ }
+
+ public PtNode(final int[] chars, final ArrayList<WeightedString> bigrams,
+ final ProbabilityInfo probabilityInfo, final boolean isNotAWord,
+ final boolean isPossiblyOffensive, final PtNodeArray children) {
+ mChars = chars;
+ mProbabilityInfo = probabilityInfo;
+ mBigrams = bigrams;
+ mChildren = children;
+ mIsNotAWord = isNotAWord;
+ mIsPossiblyOffensive = isPossiblyOffensive;
+ }
+
+ public void addChild(PtNode n) {
+ if (null == mChildren) {
+ mChildren = new PtNodeArray();
+ }
+ mChildren.mData.add(n);
+ }
+
+ public int getTerminalId() {
+ return mTerminalId;
+ }
+
+ public boolean isTerminal() {
+ return mProbabilityInfo != null;
+ }
+
+ public int getProbability() {
+ return isTerminal() ? mProbabilityInfo.mProbability : NOT_A_TERMINAL;
+ }
+
+ public boolean getIsNotAWord() {
+ return mIsNotAWord;
+ }
+
+ public boolean getIsPossiblyOffensive() {
+ return mIsPossiblyOffensive;
+ }
+
+ public ArrayList<WeightedString> getBigrams() {
+ // We don't want write permission to escape outside the package, so we return a copy
+ if (null == mBigrams) return null;
+ final ArrayList<WeightedString> copyOfBigrams = new ArrayList<>(mBigrams);
+ return copyOfBigrams;
+ }
+
+ public boolean hasSeveralChars() {
+ assert(mChars.length > 0);
+ return 1 < mChars.length;
+ }
+
+ /**
+ * Adds a word to the bigram list. Updates the probability information if the word already
+ * exists.
+ */
+ public void addBigram(final String word, final ProbabilityInfo probabilityInfo) {
+ if (mBigrams == null) {
+ mBigrams = new ArrayList<>();
+ }
+ WeightedString bigram = getBigram(word);
+ if (bigram != null) {
+ bigram.mProbabilityInfo = probabilityInfo;
+ } else {
+ bigram = new WeightedString(word, probabilityInfo);
+ mBigrams.add(bigram);
+ }
+ }
+
+ /**
+ * Gets the bigram for the given word.
+ * Returns null if the word is not in the bigrams list.
+ */
+ public WeightedString getBigram(final String word) {
+ // TODO: Don't do a linear search
+ if (mBigrams != null) {
+ final int size = mBigrams.size();
+ for (int i = 0; i < size; ++i) {
+ WeightedString bigram = mBigrams.get(i);
+ if (bigram.mWord.equals(word)) {
+ return bigram;
+ }
+ }
+ }
+ return null;
+ }
+
+ /**
+ * Updates the PtNode with the given properties. Adds the shortcut and bigram lists to
+ * the existing ones if any. Note: unigram, bigram, and shortcut frequencies are only
+ * updated if they are higher than the existing ones.
+ */
+ void update(final ProbabilityInfo probabilityInfo,
+ final ArrayList<WeightedString> bigrams,
+ final boolean isNotAWord, final boolean isPossiblyOffensive) {
+ mProbabilityInfo = ProbabilityInfo.max(mProbabilityInfo, probabilityInfo);
+ if (bigrams != null) {
+ if (mBigrams == null) {
+ mBigrams = bigrams;
+ } else {
+ final int size = bigrams.size();
+ for (int i = 0; i < size; ++i) {
+ final WeightedString bigram = bigrams.get(i);
+ final WeightedString existingBigram = getBigram(bigram.mWord);
+ if (existingBigram == null) {
+ mBigrams.add(bigram);
+ } else {
+ existingBigram.mProbabilityInfo = ProbabilityInfo.max(
+ existingBigram.mProbabilityInfo, bigram.mProbabilityInfo);
+ }
+ }
+ }
+ }
+ mIsNotAWord = isNotAWord;
+ mIsPossiblyOffensive = isPossiblyOffensive;
+ }
+ }
+
+ public final DictionaryOptions mOptions;
+ public final PtNodeArray mRootNodeArray;
+
+ public FusionDictionary(final PtNodeArray rootNodeArray, final DictionaryOptions options) {
+ mRootNodeArray = rootNodeArray;
+ mOptions = options;
+ }
+
+ public void addOptionAttribute(final String key, final String value) {
+ mOptions.mAttributes.put(key, value);
+ }
+
+ /**
+ * Helper method to convert a String to an int array.
+ */
+ static int[] getCodePoints(final String word) {
+ // TODO: this is a copy-paste of the old contents of StringUtils.toCodePointArray,
+ // which is not visible from the makedict package. Factor this code.
+ final int length = word.length();
+ if (length <= 0) return new int[] {};
+ final char[] characters = word.toCharArray();
+ final int[] codePoints = new int[Character.codePointCount(characters, 0, length)];
+ int codePoint = Character.codePointAt(characters, 0);
+ int dsti = 0;
+ for (int srci = Character.charCount(codePoint);
+ srci < length; srci += Character.charCount(codePoint), ++dsti) {
+ codePoints[dsti] = codePoint;
+ codePoint = Character.codePointAt(characters, srci);
+ }
+ codePoints[dsti] = codePoint;
+ return codePoints;
+ }
+
+ /**
+ * Helper method to add a word as a string.
+ *
+ * This method adds a word to the dictionary with the given frequency. Optional
+ * lists of bigrams can be passed here. For each word inside,
+ * they will be added to the dictionary as necessary.
+ * @param word the word to add.
+ * @param probabilityInfo probability information of the word.
+ * @param isNotAWord true if this should not be considered a word (e.g. shortcut only)
+ * @param isPossiblyOffensive true if this word is possibly offensive
+ */
+ public void add(final String word, final ProbabilityInfo probabilityInfo,
+ final boolean isNotAWord, final boolean isPossiblyOffensive) {
+ add(getCodePoints(word), probabilityInfo, isNotAWord, isPossiblyOffensive);
+ }
+
+ /**
+ * Validity check for a PtNode array.
+ *
+ * This method checks that all PtNodes in a node array are ordered as expected.
+ * If they are, nothing happens. If they aren't, an exception is thrown.
+ */
+ private static void checkStack(PtNodeArray ptNodeArray) {
+ ArrayList<PtNode> stack = ptNodeArray.mData;
+ int lastValue = -1;
+ for (int i = 0; i < stack.size(); ++i) {
+ int currentValue = stack.get(i).mChars[0];
+ if (currentValue <= lastValue) {
+ throw new RuntimeException("Invalid stack");
+ }
+ lastValue = currentValue;
+ }
+ }
+
+ /**
+ * Helper method to add a new bigram to the dictionary.
+ *
+ * @param word0 the previous word of the context
+ * @param word1 the next word of the context
+ * @param probabilityInfo the bigram probability info
+ */
+ public void setBigram(final String word0, final String word1,
+ final ProbabilityInfo probabilityInfo) {
+ PtNode ptNode0 = findWordInTree(mRootNodeArray, word0);
+ if (ptNode0 != null) {
+ final PtNode ptNode1 = findWordInTree(mRootNodeArray, word1);
+ if (ptNode1 == null) {
+ add(getCodePoints(word1), new ProbabilityInfo(0), false /* isNotAWord */,
+ false /* isPossiblyOffensive */);
+ // The PtNode for the first word may have moved by the above insertion,
+ // if word1 and word2 share a common stem that happens not to have been
+ // a cutting point until now. In this case, we need to refresh ptNode.
+ ptNode0 = findWordInTree(mRootNodeArray, word0);
+ }
+ ptNode0.addBigram(word1, probabilityInfo);
+ } else {
+ throw new RuntimeException("First word of bigram not found " + word0);
+ }
+ }
+
+ /**
+ * Add a word to this dictionary.
+ *
+ * The shortcuts, if any, have to be in the dictionary already. If they aren't,
+ * an exception is thrown.
+ * @param word the word, as an int array.
+ * @param probabilityInfo the probability information of the word.
+ * @param isNotAWord true if this is not a word for spellchecking purposes (shortcut only or so)
+ * @param isPossiblyOffensive true if this word is possibly offensive
+ */
+ private void add(final int[] word, final ProbabilityInfo probabilityInfo,
+ final boolean isNotAWord, final boolean isPossiblyOffensive) {
+ assert(probabilityInfo.mProbability <= FormatSpec.MAX_TERMINAL_FREQUENCY);
+ if (word.length >= DecoderSpecificConstants.DICTIONARY_MAX_WORD_LENGTH) {
+ MakedictLog.w("Ignoring a word that is too long: word.length = " + word.length);
+ return;
+ }
+
+ PtNodeArray currentNodeArray = mRootNodeArray;
+ int charIndex = 0;
+
+ PtNode currentPtNode = null;
+ int differentCharIndex = 0; // Set by the loop to the index of the char that differs
+ int nodeIndex = findIndexOfChar(mRootNodeArray, word[charIndex]);
+ while (CHARACTER_NOT_FOUND_INDEX != nodeIndex) {
+ currentPtNode = currentNodeArray.mData.get(nodeIndex);
+ differentCharIndex = compareCharArrays(currentPtNode.mChars, word, charIndex);
+ if (ARRAYS_ARE_EQUAL != differentCharIndex
+ && differentCharIndex < currentPtNode.mChars.length) break;
+ if (null == currentPtNode.mChildren) break;
+ charIndex += currentPtNode.mChars.length;
+ if (charIndex >= word.length) break;
+ currentNodeArray = currentPtNode.mChildren;
+ nodeIndex = findIndexOfChar(currentNodeArray, word[charIndex]);
+ }
+
+ if (CHARACTER_NOT_FOUND_INDEX == nodeIndex) {
+ // No node at this point to accept the word. Create one.
+ final int insertionIndex = findInsertionIndex(currentNodeArray, word[charIndex]);
+ final PtNode newPtNode = new PtNode(Arrays.copyOfRange(word, charIndex, word.length),
+ null /* bigrams */, probabilityInfo, isNotAWord,
+ isPossiblyOffensive);
+ currentNodeArray.mData.add(insertionIndex, newPtNode);
+ if (DBG) checkStack(currentNodeArray);
+ } else {
+ // There is a word with a common prefix.
+ if (differentCharIndex == currentPtNode.mChars.length) {
+ if (charIndex + differentCharIndex >= word.length) {
+ // The new word is a prefix of an existing word, but the node on which it
+ // should end already exists as is. Since the old PtNode was not a terminal,
+ // make it one by filling in its frequency and other attributes
+ currentPtNode.update(probabilityInfo, null, isNotAWord,
+ isPossiblyOffensive);
+ } else {
+ // The new word matches the full old word and extends past it.
+ // We only have to create a new node and add it to the end of this.
+ final PtNode newNode = new PtNode(
+ Arrays.copyOfRange(word, charIndex + differentCharIndex, word.length),
+ null /* bigrams */, probabilityInfo,
+ isNotAWord, isPossiblyOffensive);
+ currentPtNode.mChildren = new PtNodeArray();
+ currentPtNode.mChildren.mData.add(newNode);
+ }
+ } else {
+ if (0 == differentCharIndex) {
+ // Exact same word. Update the frequency if higher. This will also add the
+ // new shortcuts to the existing shortcut list if it already exists.
+ currentPtNode.update(probabilityInfo, null,
+ currentPtNode.mIsNotAWord && isNotAWord,
+ currentPtNode.mIsPossiblyOffensive || isPossiblyOffensive);
+ } else {
+ // Partial prefix match only. We have to replace the current node with a node
+ // containing the current prefix and create two new ones for the tails.
+ PtNodeArray newChildren = new PtNodeArray();
+ final PtNode newOldWord = new PtNode(
+ Arrays.copyOfRange(currentPtNode.mChars, differentCharIndex,
+ currentPtNode.mChars.length),
+ currentPtNode.mBigrams, currentPtNode.mProbabilityInfo,
+ currentPtNode.mIsNotAWord, currentPtNode.mIsPossiblyOffensive,
+ currentPtNode.mChildren);
+ newChildren.mData.add(newOldWord);
+
+ final PtNode newParent;
+ if (charIndex + differentCharIndex >= word.length) {
+ newParent = new PtNode(
+ Arrays.copyOfRange(currentPtNode.mChars, 0, differentCharIndex),
+ null /* bigrams */, probabilityInfo,
+ isNotAWord, isPossiblyOffensive, newChildren);
+ } else {
+ newParent = new PtNode(
+ Arrays.copyOfRange(currentPtNode.mChars, 0, differentCharIndex),
+ null /* bigrams */, null /* probabilityInfo */,
+ false /* isNotAWord */, false /* isPossiblyOffensive */,
+ newChildren);
+ final PtNode newWord = new PtNode(Arrays.copyOfRange(word,
+ charIndex + differentCharIndex, word.length),
+ null /* bigrams */, probabilityInfo,
+ isNotAWord, isPossiblyOffensive);
+ final int addIndex = word[charIndex + differentCharIndex]
+ > currentPtNode.mChars[differentCharIndex] ? 1 : 0;
+ newChildren.mData.add(addIndex, newWord);
+ }
+ currentNodeArray.mData.set(nodeIndex, newParent);
+ }
+ if (DBG) checkStack(currentNodeArray);
+ }
+ }
+ }
+
+ private static int ARRAYS_ARE_EQUAL = 0;
+
+ /**
+ * Custom comparison of two int arrays taken to contain character codes.
+ *
+ * This method compares the two arrays passed as an argument in a lexicographic way,
+ * with an offset in the dst string.
+ * This method does NOT test for the first character. It is taken to be equal.
+ * I repeat: this method starts the comparison at 1 <> dstOffset + 1.
+ * The index where the strings differ is returned. ARRAYS_ARE_EQUAL = 0 is returned if the
+ * strings are equal. This works BECAUSE we don't look at the first character.
+ *
+ * @param src the left-hand side string of the comparison.
+ * @param dst the right-hand side string of the comparison.
+ * @param dstOffset the offset in the right-hand side string.
+ * @return the index at which the strings differ, or ARRAYS_ARE_EQUAL = 0 if they don't.
+ */
+ private static int compareCharArrays(final int[] src, final int[] dst, int dstOffset) {
+ // We do NOT test the first char, because we come from a method that already
+ // tested it.
+ for (int i = 1; i < src.length; ++i) {
+ if (dstOffset + i >= dst.length) return i;
+ if (src[i] != dst[dstOffset + i]) return i;
+ }
+ if (dst.length > src.length) return src.length;
+ return ARRAYS_ARE_EQUAL;
+ }
+
+ /**
+ * Helper class that compares and sorts two PtNodes according to their
+ * first element only. I repeat: ONLY the first element is considered, the rest
+ * is ignored.
+ * This comparator imposes orderings that are inconsistent with equals.
+ */
+ static final class PtNodeComparator implements java.util.Comparator<PtNode> {
+ @Override
+ public int compare(PtNode p1, PtNode p2) {
+ if (p1.mChars[0] == p2.mChars[0]) return 0;
+ return p1.mChars[0] < p2.mChars[0] ? -1 : 1;
+ }
+ }
+ final static PtNodeComparator PTNODE_COMPARATOR = new PtNodeComparator();
+
+ /**
+ * Finds the insertion index of a character within a node array.
+ */
+ private static int findInsertionIndex(final PtNodeArray nodeArray, int character) {
+ final ArrayList<PtNode> data = nodeArray.mData;
+ final PtNode reference = new PtNode(new int[] { character },
+ null /* bigrams */, null /* probabilityInfo */,
+ false /* isNotAWord */, false /* isPossiblyOffensive */);
+ int result = Collections.binarySearch(data, reference, PTNODE_COMPARATOR);
+ return result >= 0 ? result : -result - 1;
+ }
+
+ /**
+ * Find the index of a char in a node array, if it exists.
+ *
+ * @param nodeArray the node array to search in.
+ * @param character the character to search for.
+ * @return the position of the character if it's there, or CHARACTER_NOT_FOUND_INDEX = -1 else.
+ */
+ private static int findIndexOfChar(final PtNodeArray nodeArray, int character) {
+ final int insertionIndex = findInsertionIndex(nodeArray, character);
+ if (nodeArray.mData.size() <= insertionIndex) return CHARACTER_NOT_FOUND_INDEX;
+ return character == nodeArray.mData.get(insertionIndex).mChars[0] ? insertionIndex
+ : CHARACTER_NOT_FOUND_INDEX;
+ }
+
+ /**
+ * Helper method to find a word in a given branch.
+ */
+ public static PtNode findWordInTree(final PtNodeArray rootNodeArray, final String string) {
+ PtNodeArray nodeArray = rootNodeArray;
+ int index = 0;
+ final StringBuilder checker = DBG ? new StringBuilder() : null;
+ final int[] codePoints = getCodePoints(string);
+
+ PtNode currentPtNode;
+ do {
+ int indexOfGroup = findIndexOfChar(nodeArray, codePoints[index]);
+ if (CHARACTER_NOT_FOUND_INDEX == indexOfGroup) return null;
+ currentPtNode = nodeArray.mData.get(indexOfGroup);
+
+ if (codePoints.length - index < currentPtNode.mChars.length) return null;
+ int newIndex = index;
+ while (newIndex < codePoints.length && newIndex - index < currentPtNode.mChars.length) {
+ if (currentPtNode.mChars[newIndex - index] != codePoints[newIndex]) return null;
+ newIndex++;
+ }
+ index = newIndex;
+
+ if (DBG) {
+ checker.append(new String(currentPtNode.mChars, 0, currentPtNode.mChars.length));
+ }
+ if (index < codePoints.length) {
+ nodeArray = currentPtNode.mChildren;
+ }
+ } while (null != nodeArray && index < codePoints.length);
+
+ if (index < codePoints.length) return null;
+ if (!currentPtNode.isTerminal()) return null;
+ if (DBG && !string.equals(checker.toString())) return null;
+ return currentPtNode;
+ }
+
+ /**
+ * Helper method to find out whether a word is in the dict or not.
+ */
+ public boolean hasWord(final String s) {
+ if (null == s || "".equals(s)) {
+ throw new RuntimeException("Can't search for a null or empty string");
+ }
+ return null != findWordInTree(mRootNodeArray, s);
+ }
+
+ /**
+ * Recursively count the number of PtNodes in a given branch of the trie.
+ *
+ * @param nodeArray the parent node.
+ * @return the number of PtNodes in all the branch under this node.
+ */
+ public static int countPtNodes(final PtNodeArray nodeArray) {
+ final int nodeSize = nodeArray.mData.size();
+ int size = nodeSize;
+ for (int i = nodeSize - 1; i >= 0; --i) {
+ PtNode ptNode = nodeArray.mData.get(i);
+ if (null != ptNode.mChildren)
+ size += countPtNodes(ptNode.mChildren);
+ }
+ return size;
+ }
+
+ /**
+ * Iterator to walk through a dictionary.
+ *
+ * This is purely for convenience.
+ */
+ public static final class DictionaryIterator implements Iterator<WordProperty> {
+ private static final class Position {
+ public Iterator<PtNode> pos;
+ public int length;
+ public Position(ArrayList<PtNode> ptNodes) {
+ pos = ptNodes.iterator();
+ length = 0;
+ }
+ }
+ final StringBuilder mCurrentString;
+ final LinkedList<Position> mPositions;
+
+ public DictionaryIterator(ArrayList<PtNode> ptRoot) {
+ mCurrentString = new StringBuilder();
+ mPositions = new LinkedList<>();
+ final Position rootPos = new Position(ptRoot);
+ mPositions.add(rootPos);
+ }
+
+ @Override
+ public boolean hasNext() {
+ for (Position p : mPositions) {
+ if (p.pos.hasNext()) {
+ return true;
+ }
+ }
+ return false;
+ }
+
+ @Override
+ public WordProperty next() {
+ Position currentPos = mPositions.getLast();
+ mCurrentString.setLength(currentPos.length);
+
+ do {
+ if (currentPos.pos.hasNext()) {
+ final PtNode currentPtNode = currentPos.pos.next();
+ currentPos.length = mCurrentString.length();
+ for (int i : currentPtNode.mChars) {
+ mCurrentString.append(Character.toChars(i));
+ }
+ if (null != currentPtNode.mChildren) {
+ currentPos = new Position(currentPtNode.mChildren.mData);
+ currentPos.length = mCurrentString.length();
+ mPositions.addLast(currentPos);
+ }
+ if (currentPtNode.isTerminal()) {
+ return new WordProperty(mCurrentString.toString(),
+ currentPtNode.mProbabilityInfo, currentPtNode.mBigrams,
+ currentPtNode.mIsNotAWord, currentPtNode.mIsPossiblyOffensive);
+ }
+ } else {
+ mPositions.removeLast();
+ currentPos = mPositions.getLast();
+ mCurrentString.setLength(mPositions.getLast().length);
+ }
+ } while (true);
+ }
+
+ @Override
+ public void remove() {
+ throw new UnsupportedOperationException("Unsupported yet");
+ }
+
+ }
+
+ /**
+ * Method to return an iterator.
+ *
+ * This method enables Java's enhanced for loop. With this you can have a FusionDictionary x
+ * and say : for (Word w : x) {}
+ */
+ @Override
+ public Iterator<WordProperty> iterator() {
+ return new DictionaryIterator(mRootNodeArray.mData);
+ }
+}