code: def tile(cls, op):
      in_groupby = op.inputs[0]
      out_df = op.outputs[0]
  
      chunks = []
      for c in in_groupby.chunks:
          new_op = op.copy().reset_key()
  
          new_index = parse_index(pd.RangeIndex(-1), c.key)
          if op.output_types[0] == OutputType.dataframe:
              chunks.append(
                  new_op.new_chunk(
                      [c],
                      index=c.index,
                      shape=(np.nan, len(out_df.dtypes)),
                      dtypes=out_df.dtypes,
                      columns_value=out_df.columns_value,
                      index_value=new_index,
                  )
              )
          else:
              chunks.append(
                  new_op.new_chunk(
                      [c],
                      index=(c.index[0],),
                      shape=(np.nan,),
                      dtype=out_df.dtype,
                      index_value=new_index,
                      name=out_df.name,
                  )
              )
  
      new_op = op.copy().reset_key()
      kw = out_df.params.copy()
      kw["chunks"] = chunks
      if op.output_types[0] == OutputType.dataframe:
          kw["nsplits"] = (
              (np.nan,) * len(chunks),
              (len(out_df.dtypes),),
          )
      else:
          kw["nsplits"] = ((np.nan,) * len(chunks),)
      return new_op.new_tileables([in_groupby], **kw)
  
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType
  from ...serialization.serializables import BoolField, AnyField
  from ...utils import lazy_import
  from ..utils import parse_index, build_empty_df, build_empty_series, validate_axis
  from ..operands import DataFrameOperandMixin, DataFrameOperand
label_desc: Use image node_id 6 for calling the GroupByCumReductionOperand obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op