code: def tile(cls, op: "DataFrameMelt"):
      inp = op.inputs[0]
      out = op.outputs[0]
  
      inp = yield from recursive_tile(inp.rechunk({1: (inp.shape[1],)}))
  
      chunks = []
      for c in inp.chunks:
          new_op = op.copy().reset_key()
          chunks.append(
              new_op.new_chunk(
                  [c],
                  index=c.index,
                  shape=(np.nan, out.shape[1]),
                  dtypes=out.dtypes,
                  index_value=parse_index(
                      pd.RangeIndex(-1), c.key, c.index_value.key
                  ),
                  columns_value=out.columns_value,
              )
          )
  
      yield chunks
      chunks = standardize_range_index(chunks)
      new_op = op.copy().reset_key()
      return new_op.new_tileables(
          [inp],
          chunks=chunks,
          nsplits=calc_nsplits({c.index: c.shape for c in chunks}),
          **out.params,
      )
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import recursive_tile
  from ...serialization.serializables import AnyField, StringField
  from ...utils import calc_nsplits
  from ..operands import DataFrameOperand, DataFrameOperandMixin, OutputType
  from ..utils import build_empty_df, parse_index, standardize_range_index
label_desc: Use image node_id 8 for calling the DataFrameMelt obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op