old_contents: #
  #  Copyright 2019 The FATE Authors. 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.
  #
  import numpy
  from federatedml.feature.sparse_vector import SparseVector
  
  
  def dataset_to_list(src):
      if isinstance(src, numpy.ndarray):
          return src.tolist()
      elif isinstance(src, list):
          return src
      elif isinstance(src, SparseVector):
          vector = [0] * src.get_shape()
          for idx, v in src.get_all_data():
              vector[idx] = v
          return vector
      else:
          return src
  
new_contents: #
  #  Copyright 2019 The FATE Authors. 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.
  #
  import numpy
  from federatedml.feature.sparse_vector import SparseVector
  
  
  def dataset_to_list(src):
      if isinstance(src, numpy.ndarray):
          return src.tolist()
      elif isinstance(src, list):
          return src
      elif isinstance(src, SparseVector):
          vector = [0] * src.get_shape()
          for idx, v in src.get_all_data():
              vector[idx] = v
          return vector
      else:
          return [src]
  
subject: fix bug that transform output data to list error which value is basic type