bb0eca5705
Bug: 14425059 Change-Id: Id06a71681fa8b5e589e29fba10fe5c1cfed66984
205 lines
8.3 KiB
Java
205 lines
8.3 KiB
Java
/*
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* Copyright (C) 2008 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of 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,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package com.android.inputmethod.latin;
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import com.android.inputmethod.keyboard.ProximityInfo;
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import com.android.inputmethod.latin.SuggestedWords.SuggestedWordInfo;
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import com.android.inputmethod.latin.settings.SettingsValuesForSuggestion;
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import java.util.ArrayList;
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import java.util.Locale;
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import java.util.Arrays;
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import java.util.HashSet;
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/**
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* Abstract base class for a dictionary that can do a fuzzy search for words based on a set of key
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* strokes.
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*/
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public abstract class Dictionary {
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public static final int NOT_A_PROBABILITY = -1;
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public static final float NOT_A_WEIGHT_OF_LANG_MODEL_VS_SPATIAL_MODEL = -1.0f;
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// The following types do not actually come from real dictionary instances, so we create
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// corresponding instances.
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public static final String TYPE_USER_TYPED = "user_typed";
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public static final Dictionary DICTIONARY_USER_TYPED = new PhonyDictionary(TYPE_USER_TYPED);
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public static final String TYPE_APPLICATION_DEFINED = "application_defined";
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public static final Dictionary DICTIONARY_APPLICATION_DEFINED =
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new PhonyDictionary(TYPE_APPLICATION_DEFINED);
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public static final String TYPE_HARDCODED = "hardcoded"; // punctuation signs and such
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public static final Dictionary DICTIONARY_HARDCODED =
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new PhonyDictionary(TYPE_HARDCODED);
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// Spawned by resuming suggestions. Comes from a span that was in the TextView.
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public static final String TYPE_RESUMED = "resumed";
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public static final Dictionary DICTIONARY_RESUMED =
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new PhonyDictionary(TYPE_RESUMED);
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// The following types of dictionary have actual functional instances. We don't need final
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// phony dictionary instances for them.
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public static final String TYPE_MAIN = "main";
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public static final String TYPE_CONTACTS = "contacts";
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// User dictionary, the system-managed one.
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public static final String TYPE_USER = "user";
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// User history dictionary internal to LatinIME.
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public static final String TYPE_USER_HISTORY = "history";
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// Personalization dictionary.
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public static final String TYPE_PERSONALIZATION = "personalization";
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// Contextual dictionary.
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public static final String TYPE_CONTEXTUAL = "contextual";
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public final String mDictType;
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// The locale for this dictionary. May be null if unknown (phony dictionary for example).
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public final Locale mLocale;
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/**
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* Set out of the dictionary types listed above that are based on data specific to the user,
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* e.g., the user's contacts.
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*/
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private static final HashSet<String> sUserSpecificDictionaryTypes =
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new HashSet(Arrays.asList(new String[] { TYPE_USER_TYPED, TYPE_USER, TYPE_CONTACTS,
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TYPE_USER_HISTORY, TYPE_PERSONALIZATION, TYPE_CONTEXTUAL }));
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public Dictionary(final String dictType, final Locale locale) {
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mDictType = dictType;
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mLocale = locale;
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}
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/**
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* Searches for suggestions for a given context.
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* @param composer the key sequence to match with coordinate info, as a WordComposer
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* @param ngramContext the context for n-gram.
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* @param proximityInfo the object for key proximity. May be ignored by some implementations.
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* @param settingsValuesForSuggestion the settings values used for the suggestion.
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* @param sessionId the session id.
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* @param weightForLocale the weight given to this locale, to multiply the output scores for
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* multilingual input.
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* @param inOutWeightOfLangModelVsSpatialModel the weight of the language model as a ratio of
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* the spatial model, used for generating suggestions. inOutWeightOfLangModelVsSpatialModel is
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* a float array that has only one element. This can be updated when a different value is used.
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* @return the list of suggestions (possibly null if none)
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*/
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abstract public ArrayList<SuggestedWordInfo> getSuggestions(final WordComposer composer,
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final NgramContext ngramContext, final ProximityInfo proximityInfo,
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final SettingsValuesForSuggestion settingsValuesForSuggestion,
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final int sessionId, final float weightForLocale,
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final float[] inOutWeightOfLangModelVsSpatialModel);
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/**
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* Checks if the given word has to be treated as a valid word. Please note that some
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* dictionaries have entries that should be treated as invalid words.
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* @param word the word to search for. The search should be case-insensitive.
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* @return true if the word is valid, false otherwise
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*/
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public boolean isValidWord(final String word) {
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return isInDictionary(word);
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}
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/**
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* Checks if the given word is in the dictionary regardless of it being valid or not.
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*/
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abstract public boolean isInDictionary(final String word);
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public int getFrequency(final String word) {
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return NOT_A_PROBABILITY;
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}
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public int getMaxFrequencyOfExactMatches(final String word) {
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return NOT_A_PROBABILITY;
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}
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/**
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* Compares the contents of the character array with the typed word and returns true if they
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* are the same.
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* @param word the array of characters that make up the word
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* @param length the number of valid characters in the character array
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* @param typedWord the word to compare with
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* @return true if they are the same, false otherwise.
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*/
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protected boolean same(final char[] word, final int length, final String typedWord) {
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if (typedWord.length() != length) {
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return false;
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}
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for (int i = 0; i < length; i++) {
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if (word[i] != typedWord.charAt(i)) {
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return false;
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}
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}
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return true;
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}
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/**
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* Override to clean up any resources.
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*/
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public void close() {
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// empty base implementation
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}
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/**
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* Subclasses may override to indicate that this Dictionary is not yet properly initialized.
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*/
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public boolean isInitialized() {
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return true;
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}
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/**
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* Whether we think this suggestion should trigger an auto-commit. prevWord is the word
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* before the suggestion, so that we can use n-gram frequencies.
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* @param candidate The candidate suggestion, in whole (not only the first part).
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* @return whether we should auto-commit or not.
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*/
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public boolean shouldAutoCommit(final SuggestedWordInfo candidate) {
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// If we don't have support for auto-commit, or if we don't know, we return false to
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// avoid auto-committing stuff. Implementations of the Dictionary class that know to
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// determine whether we should auto-commit will override this.
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return false;
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}
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/**
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* Whether this dictionary is based on data specific to the user, e.g., the user's contacts.
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* @return Whether this dictionary is specific to the user.
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*/
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public boolean isUserSpecific() {
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return sUserSpecificDictionaryTypes.contains(mDictType);
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}
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/**
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* Not a true dictionary. A placeholder used to indicate suggestions that don't come from any
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* real dictionary.
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*/
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private static class PhonyDictionary extends Dictionary {
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// This class is not publicly instantiable.
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private PhonyDictionary(final String type) {
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super(type, null);
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}
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@Override
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public ArrayList<SuggestedWordInfo> getSuggestions(final WordComposer composer,
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final NgramContext ngramContext, final ProximityInfo proximityInfo,
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final SettingsValuesForSuggestion settingsValuesForSuggestion,
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final int sessionId, final float weightForLocale,
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final float[] inOutWeightOfLangModelVsSpatialModel) {
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return null;
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}
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@Override
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public boolean isInDictionary(String word) {
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return false;
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}
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}
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}
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