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word_model_trainer_test.cc
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80 lines (66 loc) · 2.38 KB
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// Copyright 2016 Google Inc.
//
// 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.!
#include <string>
#include <vector>
#include "filesystem.h"
#include "sentencepiece_processor.h"
#include "testharness.h"
#include "third_party/absl/strings/str_cat.h"
#include "third_party/absl/strings/str_join.h"
#include "util.h"
#include "word_model_trainer.h"
namespace sentencepiece {
namespace word {
namespace {
// Space symbol (U+2581)
#define WS "\xE2\x96\x81"
std::string RunTrainer(const std::vector<std::string> &input, int size) {
const std::string input_file =
util::JoinPath(::testing::TempDir(), "input");
const std::string model_prefix =
util::JoinPath(::testing::TempDir(), "model");
{
auto output = filesystem::NewWritableFile(input_file);
for (const auto &line : input) {
output->WriteLine(line);
}
}
TrainerSpec trainer_spec;
trainer_spec.set_model_type(TrainerSpec::WORD);
trainer_spec.add_input(input_file);
trainer_spec.set_vocab_size(size - 3); // remove <unk>, <s>, </s>
trainer_spec.set_model_prefix(model_prefix);
NormalizerSpec normalizer_spec;
normalizer_spec.set_name("identity");
normalizer_spec.set_add_dummy_prefix(true);
NormalizerSpec denormalizer_spec;
Trainer trainer(trainer_spec, normalizer_spec, denormalizer_spec);
EXPECT_TRUE(trainer.Train().ok());
SentencePieceProcessor processor;
EXPECT_TRUE(processor.Load(model_prefix + ".model").ok());
const auto &model = processor.model_proto();
std::vector<std::string> pieces;
// remove <unk>, <s>, </s>
for (int i = 3; i < model.pieces_size(); ++i) {
pieces.emplace_back(model.pieces(i).piece());
}
return absl::StrJoin(pieces, " ");
}
} // namespace
TEST(TrainerTest, BasicTest) {
EXPECT_EQ(WS "I " WS "apple " WS "have " WS "pen",
RunTrainer({"I have a pen", "I have an apple", "apple pen"}, 10));
}
} // namespace word
} // namespace sentencepiece