code: def create_tileable_from_chunks(cls, chunks, inputs=None, **kw):
      if isinstance(chunks[0], TENSOR_CHUNK_TYPE):
          return TensorOperandMixin.create_tileable_from_chunks(
              chunks, inputs=inputs, **kw
          )
      elif isinstance(chunks[0], DATAFRAME_CHUNK_TYPE):
          return DataFrameOperandMixin.create_tileable_from_chunks(
              chunks, inputs=inputs, **kw
          )
      else:
          # op has to implement its logic of `create_tileable_from_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 2 for calling the LearnOperandMixin obj's underlying member method code with example usage: obj.create_tileable_from_chunks(cls, chunks, inputs) and returns: TensorOperandMixin, DataFrameOperandMixin