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/*
* SPDX-FileCopyrightText: 2023-2023 CSSlayer <wengxt@gmail.com>
*
* SPDX-License-Identifier: LGPL-2.1-or-later
*/
#include <algorithm>
#include <string>
#include <fcitx-utils/log.h>
#include "libime/core/userlanguagemodel.h"
#include "libime/pinyin/pinyindictionary.h"
#include "libime/pinyin/pinyinencoder.h"
#include "libime/pinyin/pinyinprediction.h"
#include "testdir.h"
using namespace libime;
namespace fcitx {
LogMessageBuilder &operator<<(LogMessageBuilder &log,
PinyinPredictionSource type) {
switch (type) {
case PinyinPredictionSource::Dictionary:
log << "Dict";
break;
case PinyinPredictionSource::Model:
log << "Model";
break;
}
return log;
}
} // namespace fcitx
int main() {
UserLanguageModel model(LIBIME_BINARY_DIR "/data/sc.lm");
PinyinDictionary dict;
dict.load(PinyinDictionary::SystemDict,
LIBIME_BINARY_DIR "/data/dict_sc.txt", PinyinDictFormat::Text);
PinyinPrediction prediction;
prediction.setUserLanguageModel(&model);
prediction.setPinyinDictionary(&dict);
auto py = PinyinEncoder::encodeFullPinyin("zhong'guo");
auto result = prediction.predict(model.nullState(), {"我", "喜欢", "中国"},
{py.data(), py.size()}, 20);
auto noPyResult = prediction.predict({"我", "喜欢", "中国"}, 20);
FCITX_ASSERT(result.size() > noPyResult.size())
<< result << " " << noPyResult;
// Check if word that exists in multiple sub dicts won't generate multiple
// result.
py = PinyinEncoder::encodeFullPinyin("guan'xi");
FCITX_ASSERT(
dict.lookupWord(PinyinDictionary::SystemDict, "guan'xi'ren", "关系人"));
dict.addWord(PinyinDictionary::UserDict, "guan'xi'ren", "关系人");
result = prediction.predict(model.nullState(), {"关系"},
{py.data(), py.size()}, 49);
FCITX_ASSERT(
std::count_if(result.begin(), result.end(), [](const auto &item) {
return std::get<std::string>(item) == "人";
}) == 1);
return 0;
}
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