code: def tile(cls, op: "SeriesFromTensor"):
      if op.index is None or not hasattr(op.index, "key"):
          # check all inputs to make sure no unknown chunk shape
          if has_unknown_shape(*op.inputs):
              yield
  
      if op.input is None:
          return cls._tile_tensor_none(op)
  
      out_series = op.outputs[0]
      in_tensor = op.inputs[0]
      nsplits = in_tensor.nsplits
  
      index_tensor = series_index = None
      if op.index is not None:
          if hasattr(op.index, "key"):
              index_tensor = yield from recursive_tile(
                  op.index.rechunk([nsplits[0]])
              )
          else:
              series_index = op.index
  
      index_start = 0
      out_chunks = []
      for in_chunk in in_tensor.chunks:
          new_op = op.copy().reset_key()
          new_op.extra_params["index_start"] = index_start
          chunk_inputs = [in_chunk]
          if index_tensor is not None:
              index_chunk = index_tensor.cix[in_chunk.index]
              chunk_inputs.append(index_chunk)
              if isinstance(op.index, INDEX_TYPE):
                  index_value = index_chunk.index_value
              else:
                  index_value = parse_index(
                      pd.Index([], dtype=in_chunk.dtype),
                      index_chunk,
                      type(new_op).__name__,
                  )
          else:
              chunk_pd_index = series_index[
                  index_start : index_start + in_chunk.shape[0]
              ]
              index_value = parse_index(chunk_pd_index)
              new_op.index = chunk_pd_index
          index_start += in_chunk.shape[0]
          out_chunk = new_op.new_chunk(
              chunk_inputs,
              shape=in_chunk.shape,
              index=in_chunk.index,
              index_value=index_value,
              name=out_series.name,
              dtype=out_series.dtype,
          )
          out_chunks.append(out_chunk)
  
      new_op = op.copy()
      return new_op.new_tileables(
          op.inputs,
          shape=out_series.shape,
          dtype=out_series.dtype,
          index_value=out_series.index_value,
          name=out_series.name,
          chunks=out_chunks,
          nsplits=in_tensor.nsplits,
      )
  
imports: from collections import OrderedDict
  from typing import Any, Dict, List, Union
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import ENTITY_TYPE, OutputType, recursive_tile
  from ...core.context import Context
  from ...serialization.serializables import KeyField, AnyField
  from ...tensor.core import Tensor
  from ...tensor.datasource import tensor
  from ...tensor.utils import unify_chunks
  from ...typing import EntityType, TileableType
  from ...utils import has_unknown_shape
  from ..core import INDEX_TYPE, SERIES_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index
label_desc: Use image node_id 2 for calling the SeriesFromTensor obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op, cls