text: /**
   * Copyright 2020 Huawei Technologies Co., Ltd
   *
   * 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 "common/common.h"
  #include "dataset/kernels/data/fill_op.h"
  #include "utils/log_adapter.h"
  
  using namespace mindspore::dataset;
  using mindspore::LogStream;
  using mindspore::ExceptionType::NoExceptionType;
  using mindspore::MsLogLevel::INFO;
  
  class MindDataTestFillOp : public UT::Common {
   protected:
    MindDataTestFillOp() {}
  };
  
  TEST_F(MindDataTestFillOp, TestOp) {
    MS_LOG(INFO) << "Doing MindDataTestFillOp-TestOp.";
    uint64_t labels[3] = {1, 1, 2};
    TensorShape shape({3});
    std::shared_ptr<Tensor> input =
      std::make_shared<Tensor>(shape, DataType(DataType::DE_UINT64), reinterpret_cast<unsigned char *>(labels));
  
    TensorShape fill_shape({});
    std::shared_ptr<Tensor> fill_tensor = std::make_shared<Tensor>(fill_shape, DataType(DataType::DE_UINT64));
    fill_tensor->SetItemAt<uint64_t>({}, 4);
  
    std::shared_ptr<Tensor> output;
    std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
    Status s = op->Compute(input, &output);
  
    uint64_t out[3] = {4, 4, 4};
  
    std::shared_ptr<Tensor> expected =
      std::make_shared<Tensor>(TensorShape{3}, DataType(DataType::DE_UINT64), reinterpret_cast<unsigned char *>(out));
  
    EXPECT_TRUE(s.IsOk());
    ASSERT_TRUE(output->shape() == expected->shape());
    ASSERT_TRUE(output->type() == expected->type());
    MS_LOG(DEBUG) << *output << std::endl;
    MS_LOG(DEBUG) << *expected << std::endl;
  
    ASSERT_TRUE(*output == *expected);
    MS_LOG(INFO) << "MindDataTestFillOp-TestOp end.";
  }
  
  TEST_F(MindDataTestFillOp, TestCasting) {
    MS_LOG(INFO) << "Doing MindDataTestFillOp-TestCasting.";
    uint64_t labels[3] = {0, 1, 2};
    TensorShape shape({3});
    std::shared_ptr<Tensor> input =
      std::make_shared<Tensor>(shape, DataType(DataType::DE_UINT64), reinterpret_cast<unsigned char *>(labels));
  
    TensorShape fill_shape({});
    std::shared_ptr<Tensor> fill_tensor = std::make_shared<Tensor>(fill_shape, DataType(DataType::DE_FLOAT32));
    fill_tensor->SetItemAt<float>({}, 2.0);
  
    std::shared_ptr<Tensor> output;
    std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
    Status s = op->Compute(input, &output);
  
    uint64_t out[3] = {2, 2, 2};
  
    std::shared_ptr<Tensor> expected =
      std::make_shared<Tensor>(TensorShape{3}, DataType(DataType::DE_UINT64), reinterpret_cast<unsigned char *>(out));
  
    ASSERT_TRUE(output->shape() == expected->shape());
    ASSERT_TRUE(output->type() == expected->type());
  
    EXPECT_TRUE(s.IsOk());
    MS_LOG(DEBUG) << *output << std::endl;
    MS_LOG(DEBUG) << *expected << std::endl;
    ASSERT_TRUE(*output == *expected);
  
    MS_LOG(INFO) << "MindDataTestFillOp-TestCasting end.";
  }
  
  TEST_F(MindDataTestFillOp, ScalarFill) {
    MS_LOG(INFO) << "Doing MindDataTestFillOp-ScalarFill.";
    uint64_t labels[3] = {0, 1, 2};
    TensorShape shape({3});
    std::shared_ptr<Tensor> input =
      std::make_shared<Tensor>(shape, DataType(DataType::DE_UINT64), reinterpret_cast<unsigned char *>(labels));
  
    TensorShape fill_shape({2});
    uint64_t fill_labels[3] = {0, 1};
    std::shared_ptr<Tensor> fill_tensor =
      std::make_shared<Tensor>(fill_shape, DataType(DataType::DE_UINT64), reinterpret_cast<unsigned char *>(fill_labels));
    std::shared_ptr<Tensor> output;
    std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
    Status s = op->Compute(input, &output);
  
    EXPECT_TRUE(s.IsError());
    ASSERT_TRUE(s.get_code() == StatusCode::kUnexpectedError);
  
    MS_LOG(INFO) << "MindDataTestFillOp-ScalarFill end.";
  }
  
  TEST_F(MindDataTestFillOp, StringFill) {
    MS_LOG(INFO) << "Doing MindDataTestFillOp-StringFill.";
    std::vector<std::string> strings = {"xyzzy", "plugh", "abracadabra"};
    TensorShape shape({3});
    std::shared_ptr<Tensor> input = std::make_shared<Tensor>(strings, shape);
  
    TensorShape fill_shape({});
    std::string fill_string = "hello";
    std::shared_ptr<Tensor> fill_tensor = std::make_shared<Tensor>(fill_string);
  
    std::shared_ptr<Tensor> output;
  
    std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
    Status s = op->Compute(input, &output);
  
    std::vector<std::string> expected_strings = {"hello", "hello", "hello"};
    TensorShape expected_shape({3});
    std::shared_ptr<Tensor> expected = std::make_shared<Tensor>(expected_strings, expected_shape);
  
    EXPECT_TRUE(s.IsOk());
    ASSERT_TRUE(output->shape() == expected->shape());
    ASSERT_TRUE(output->type() == expected->type());
    MS_LOG(DEBUG) << *output << std::endl;
    MS_LOG(DEBUG) << *expected << std::endl;
  
    ASSERT_TRUE(*output == *expected);
  
    MS_LOG(INFO) << "MindDataTestFillOp-StringFill end.";
  }
  
  TEST_F(MindDataTestFillOp, NumericToString) {
    MS_LOG(INFO) << "Doing MindDataTestFillOp-NumericToString.";
    std::vector<std::string> strings = {"xyzzy", "plugh", "abracadabra"};
    TensorShape shape({3});
    std::shared_ptr<Tensor> input = std::make_shared<Tensor>(strings, shape);
  
    TensorShape fill_shape({});
    std::shared_ptr<Tensor> fill_tensor = std::make_shared<Tensor>(fill_shape, DataType(DataType::DE_FLOAT32));
    fill_tensor->SetItemAt<float>({}, 2.0);
  
    std::shared_ptr<Tensor> output;
  
    std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
    Status s = op->Compute(input, &output);
  
    EXPECT_TRUE(s.IsError());
    ASSERT_TRUE(s.get_code() == StatusCode::kUnexpectedError);
  
    MS_LOG(INFO) << "MindDataTestFillOp-NumericToString end.";
  }
  
  TEST_F(MindDataTestFillOp, StringToNumeric) {
    MS_LOG(INFO) << "Doing MindDataTestFillOp-StringToNumeric.";
    uint64_t labels[3] = {0, 1, 2};
    TensorShape shape({3});
    std::shared_ptr<Tensor> input =
      std::make_shared<Tensor>(shape, DataType(DataType::DE_UINT64), reinterpret_cast<unsigned char *>(labels));
  
    TensorShape fill_shape({});
    std::string fill_string = "hello";
    std::shared_ptr<Tensor> fill_tensor = std::make_shared<Tensor>(fill_string);
  
    std::shared_ptr<Tensor> output;
  
    std::unique_ptr<FillOp> op(new FillOp(fill_tensor));
    Status s = op->Compute(input, &output);
  
    EXPECT_TRUE(s.IsError());
    ASSERT_TRUE(s.get_code() == StatusCode::kUnexpectedError);
  
    MS_LOG(INFO) << "MindDataTestFillOp-StringToNumeric end.";
  }