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97 lines
3.6 KiB
97 lines
3.6 KiB
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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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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#include <string>
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#include <string_view>
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#include "common/common.h"
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#include "minddata/dataset/text/kernels/jieba_tokenizer_op.h"
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#include "gtest/gtest.h"
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#include "utils/log_adapter.h"
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using namespace mindspore::dataset;
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class MindDataTestJiebaTokenizerOp : public UT::DatasetOpTesting {
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public:
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void CheckEqual(const std::shared_ptr<Tensor> &o, const std::vector<dsize_t> &index, const std::string &expect) {
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std::string_view str;
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Status s = o->GetItemAt(&str, index);
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EXPECT_TRUE(s.IsOk());
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EXPECT_EQ(str, expect);
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}
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};
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TEST_F(MindDataTestJiebaTokenizerOp, TestJieba_opFuntions) {
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MS_LOG(INFO) << "Doing MindDataTestJiebaTokenizerOp TestJieba_opFuntions.";
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std::string dataset_path = datasets_root_path_ + "/jiebadict";
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std::string hmm_path = dataset_path + "/hmm_model.utf8";
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std::string mp_path = dataset_path + "/jieba.dict.utf8";
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TensorRow input, output;
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std::unique_ptr<JiebaTokenizerOp> op(new JiebaTokenizerOp(hmm_path, mp_path));
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std::shared_ptr<Tensor> input_tensor;
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Tensor::CreateScalar<std::string>("今天天气太好了我们一起去外面玩吧", &input_tensor);
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input.push_back(input_tensor);
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Status s = op->Compute(input, &output);
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EXPECT_TRUE(s.IsOk());
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EXPECT_EQ(output[0]->Rank(), 1);
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EXPECT_EQ(output[0]->Size(), 7);
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CheckEqual(output[0], {0}, "今天天气");
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CheckEqual(output[0], {1}, "太好了");
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CheckEqual(output[0], {2}, "我们");
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CheckEqual(output[0], {3}, "一起");
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CheckEqual(output[0], {4}, "去");
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CheckEqual(output[0], {5}, "外面");
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CheckEqual(output[0], {6}, "玩吧");
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}
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TEST_F(MindDataTestJiebaTokenizerOp, TestJieba_opAdd) {
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MS_LOG(INFO) << "Doing MindDataTestJiebaTokenizerOp TestJieba_opAdd.";
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std::string dataset_path = datasets_root_path_ + "/jiebadict";
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std::string hmm_path = dataset_path + "/hmm_model.utf8";
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std::string mp_path = dataset_path + "/jieba.dict.utf8";
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TensorRow input, output;
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std::unique_ptr<JiebaTokenizerOp> op(new JiebaTokenizerOp(hmm_path, mp_path));
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op->AddWord("男默女泪");
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std::shared_ptr<Tensor> input_tensor;
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Tensor::CreateScalar<std::string>("男默女泪", &input_tensor);
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input.push_back(input_tensor);
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Status s = op->Compute(input, &output);
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EXPECT_TRUE(s.IsOk());
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EXPECT_EQ(output[0]->Rank(), 1);
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EXPECT_EQ(output[0]->Size(), 1);
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CheckEqual(output[0], {0}, "男默女泪");
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}
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TEST_F(MindDataTestJiebaTokenizerOp, TestJieba_opEmpty) {
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MS_LOG(INFO) << "Doing MindDataTestJiebaTokenizerOp TestJieba_opEmpty.";
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std::string dataset_path = datasets_root_path_ + "/jiebadict";
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std::string hmm_path = dataset_path + "/hmm_model.utf8";
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std::string mp_path = dataset_path + "/jieba.dict.utf8";
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TensorRow input, output;
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std::unique_ptr<JiebaTokenizerOp> op(new JiebaTokenizerOp(hmm_path, mp_path));
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op->AddWord("男默女泪");
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std::shared_ptr<Tensor> input_tensor;
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Tensor::CreateScalar<std::string>("", &input_tensor);
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input.push_back(input_tensor);
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Status s = op->Compute(input, &output);
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EXPECT_TRUE(s.IsOk());
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EXPECT_EQ(output[0]->Rank(), 1);
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EXPECT_EQ(output[0]->Size(), 1);
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CheckEqual(output[0], {0}, "");
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} |