/* Copyright 2023 Alibaba Group Holding Limited. All Rights Reserved.

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.
==============================================================================*/

#ifndef GRAPHLEARN_CORE_DAG_TENSOR_MAP_H_
#define GRAPHLEARN_CORE_DAG_TENSOR_MAP_H_

#include "include/tensor.h"
#include "include/sparse_tensor.h"

namespace graphlearn {

class TensorMap {
public:
  TensorMap();
  TensorMap(Tensor::Map&& tensor,
            SparseTensor::Map&& sparse_tensor);
  explicit TensorMap(TensorMap&& other) noexcept;

  virtual ~TensorMap();

  TensorMap& operator=(TensorMap&& other) noexcept;

  const int32_t Size() const;

  std::pair<const Tensor*, const Tensor*> Find(
    const std::string& key);

  // Copy to add.
  bool Add(const std::string& key,
           const Tensor* values,
           const Tensor* segments);

  // Move to add
  bool Add(const std::string& key,
           Tensor&& values,
           Tensor&& segments);

public:
  Tensor::Map tensors_;
  SparseTensor::Map sparse_tensors_;

};

}  // namespace graphlearn

#endif  // GRAPHLEARN_CORE_DAG_TENSOR_MAP_H