text: # Copyright 1999-2021 Alibaba Group Holding 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.
  
  from ...serialization.serializables import KeyField
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..core import DATAFRAME_TYPE, SERIES_TYPE
  
  
  class DataFrameDeviceConversionBase(DataFrameOperand, DataFrameOperandMixin):
      _input = KeyField('input')
  
      @property
      def input(self):
          return self._input
  
      def _set_inputs(self, inputs):
          super()._set_inputs(inputs)
          self._input = inputs[0]
  
      def __call__(self, obj):
          if isinstance(obj, DATAFRAME_TYPE):
              return self.new_dataframe([obj], shape=obj.shape, dtypes=obj.dtypes,
                                        index_value=obj.index_value,
                                        columns_value=obj.columns_value)
          else:
              assert isinstance(obj, SERIES_TYPE)
              return self.new_series([obj], shape=obj.shape, dtype=obj.dtype,
                                     index_value=obj.index_value, name=obj.name)
  
      @classmethod
      def tile(cls, op):
          out_chunks = []
          for c in op.input.chunks:
              chunk_op = op.copy().reset_key()
              out_chunk = chunk_op.new_chunk([c], **c.params)
              out_chunks.append(out_chunk)
  
          new_op = op.copy().reset_key()
          out = op.outputs[0]
          return new_op.new_tileables(op.inputs, chunks=out_chunks,
                                      nsplits=op.inputs[0].nsplits,
                                      **out.params)
  