1 /*
2 * Copyright (C) 2014 The Android Open Source Project
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17 #include "suggest/core/result/suggestion_results.h"
18
19 #include "utils/jni_data_utils.h"
20
21 namespace latinime {
22
outputSuggestions(JNIEnv * env,jintArray outSuggestionCount,jintArray outputCodePointsArray,jintArray outScoresArray,jintArray outSpaceIndicesArray,jintArray outTypesArray,jintArray outAutoCommitFirstWordConfidenceArray,jfloatArray outWeightOfLangModelVsSpatialModel)23 void SuggestionResults::outputSuggestions(JNIEnv *env, jintArray outSuggestionCount,
24 jintArray outputCodePointsArray, jintArray outScoresArray, jintArray outSpaceIndicesArray,
25 jintArray outTypesArray, jintArray outAutoCommitFirstWordConfidenceArray,
26 jfloatArray outWeightOfLangModelVsSpatialModel) {
27 int outputIndex = 0;
28 while (!mSuggestedWords.empty()) {
29 const SuggestedWord &suggestedWord = mSuggestedWords.top();
30 suggestedWord.getCodePointCount();
31 const int start = outputIndex * MAX_WORD_LENGTH;
32 JniDataUtils::outputCodePoints(env, outputCodePointsArray, start,
33 MAX_WORD_LENGTH /* maxLength */, suggestedWord.getCodePoint(),
34 suggestedWord.getCodePointCount(), true /* needsNullTermination */);
35 JniDataUtils::putIntToArray(env, outScoresArray, outputIndex, suggestedWord.getScore());
36 JniDataUtils::putIntToArray(env, outSpaceIndicesArray, outputIndex,
37 suggestedWord.getIndexToPartialCommit());
38 JniDataUtils::putIntToArray(env, outTypesArray, outputIndex, suggestedWord.getType());
39 if (mSuggestedWords.size() == 1) {
40 JniDataUtils::putIntToArray(env, outAutoCommitFirstWordConfidenceArray, 0 /* index */,
41 suggestedWord.getAutoCommitFirstWordConfidence());
42 }
43 ++outputIndex;
44 mSuggestedWords.pop();
45 }
46 JniDataUtils::putIntToArray(env, outSuggestionCount, 0 /* index */, outputIndex);
47 JniDataUtils::putFloatToArray(env, outWeightOfLangModelVsSpatialModel, 0 /* index */,
48 mWeightOfLangModelVsSpatialModel);
49 }
50
addPrediction(const int * const codePoints,const int codePointCount,const int probability)51 void SuggestionResults::addPrediction(const int *const codePoints, const int codePointCount,
52 const int probability) {
53 if (probability == NOT_A_PROBABILITY) {
54 // Invalid word.
55 return;
56 }
57 addSuggestion(codePoints, codePointCount, probability, Dictionary::KIND_PREDICTION,
58 NOT_AN_INDEX, NOT_A_FIRST_WORD_CONFIDENCE);
59 }
60
addSuggestion(const int * const codePoints,const int codePointCount,const int score,const int type,const int indexToPartialCommit,const int autocimmitFirstWordConfindence)61 void SuggestionResults::addSuggestion(const int *const codePoints, const int codePointCount,
62 const int score, const int type, const int indexToPartialCommit,
63 const int autocimmitFirstWordConfindence) {
64 if (codePointCount <= 0 || codePointCount > MAX_WORD_LENGTH) {
65 // Invalid word.
66 AKLOGE("Invalid word is added to the suggestion results. codePointCount: %d",
67 codePointCount);
68 return;
69 }
70 if (getSuggestionCount() >= mMaxSuggestionCount) {
71 const SuggestedWord &mWorstSuggestion = mSuggestedWords.top();
72 if (score > mWorstSuggestion.getScore() || (score == mWorstSuggestion.getScore()
73 && codePointCount < mWorstSuggestion.getCodePointCount())) {
74 mSuggestedWords.pop();
75 } else {
76 return;
77 }
78 }
79 mSuggestedWords.push(SuggestedWord(codePoints, codePointCount, score, type,
80 indexToPartialCommit, autocimmitFirstWordConfindence));
81 }
82
getSortedScores(int * const outScores) const83 void SuggestionResults::getSortedScores(int *const outScores) const {
84 auto copyOfSuggestedWords = mSuggestedWords;
85 while (!copyOfSuggestedWords.empty()) {
86 const SuggestedWord &suggestedWord = copyOfSuggestedWords.top();
87 outScores[copyOfSuggestedWords.size() - 1] = suggestedWord.getScore();
88 copyOfSuggestedWords.pop();
89 }
90 }
91
dumpSuggestions() const92 void SuggestionResults::dumpSuggestions() const {
93 AKLOGE("weight of language model vs spatial model: %f", mWeightOfLangModelVsSpatialModel);
94 std::vector<SuggestedWord> suggestedWords;
95 auto copyOfSuggestedWords = mSuggestedWords;
96 while (!copyOfSuggestedWords.empty()) {
97 suggestedWords.push_back(copyOfSuggestedWords.top());
98 copyOfSuggestedWords.pop();
99 }
100 int index = 0;
101 for (auto it = suggestedWords.rbegin(); it != suggestedWords.rend(); ++it) {
102 DUMP_SUGGESTION(it->getCodePoint(), it->getCodePointCount(), index, it->getScore());
103 index++;
104 }
105 }
106
107 } // namespace latinime
108