code: def __call__(self, groupby):
      in_df = groupby
      while in_df.op.output_types[0] not in (
          OutputType.dataframe,
          OutputType.series,
      ):
          in_df = in_df.inputs[0]
  
      self._axis = validate_axis(self.axis or 0, in_df)
  
      out_dtypes = self._calc_out_dtypes(groupby)
  
      kw = in_df.params.copy()
      kw["index_value"] = parse_index(pd.RangeIndex(-1), groupby.key)
      if self.output_types[0] == OutputType.dataframe:
          kw.update(
              dict(
                  columns_value=parse_index(
                      out_dtypes.index, store_data=True
                  ),
                  dtypes=out_dtypes,
                  shape=(groupby.shape[0], len(out_dtypes)),
              )
          )
      else:
          name, dtype = out_dtypes
          kw.update(dtype=dtype, name=name, shape=(groupby.shape[0],))
      return self.new_tileable([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 5 for calling the GroupByCumReductionOperand obj's underlying member method code with example usage: obj.__call__(groupby) and returns: self