code: def concat_tileable_chunks(cls, tileable):
      if isinstance(tileable, TENSOR_TYPE):
          return TensorOperandMixin.concat_tileable_chunks(tileable)
      elif isinstance(tileable, DATAFRAME_TYPE):
          return DataFrameOperandMixin.concat_tileable_chunks(tileable)
      else:
          # op has to implement its logic of `concat_tileable_chunks`
          raise NotImplementedError
  
imports: from ..core import OutputType
  from ..core.operand import Operand, TileableOperandMixin, Fuse, FuseChunkMixin, ShuffleProxy
  from ..tensor.core import TENSOR_TYPE, TENSOR_CHUNK_TYPE
  from ..tensor.operands import TensorOperandMixin
  from ..tensor.fuse import TensorFuseChunk
  from ..dataframe.core import TILEABLE_TYPE, CHUNK_TYPE
  from ..dataframe.operands import DataFrameOperandMixin, DataFrameFuseChunk
label_desc: Use image node_id 1 for calling the LearnOperandMixin obj's underlying member method code with example usage: obj.concat_tileable_chunks(cls, tileable) and returns: TensorOperandMixin, DataFrameOperandMixin