code: def _execute_cumsum2(cls, op: "DataFrameEwmAgg", in_data):
      summary = None
      min_periods = 1 if op.min_periods > 0 else 0
  
      try:
          data = in_data.ewm(
              alpha=op.alpha,
              ignore_na=op.alpha_ignore_na,
              adjust=op.adjust,
              min_periods=min_periods,
          ).var(bias=True)
      except ValueError:
          in_data = in_data.copy()
          data = in_data.ewm(
              alpha=op.alpha,
              ignore_na=op.alpha_ignore_na,
              adjust=op.adjust,
              min_periods=min_periods,
          ).var(bias=True)
  
      alpha_sum, _ = op._execute_cum_alpha_coeff(op, in_data, 1)
      cumsum, _ = op._execute_cumsum(op, in_data)
      result = alpha_sum * data + cumsum**2 / alpha_sum
  
      if op.output_agg:
          summary = result.ffill()[-1:]
  
      return result, summary
  
imports: from collections import namedtuple
  import numpy
  import pandas
  from ....None import opcodes
  from ....serialization.serializables import BoolField, Float64Field
  from ..aggregation import BaseDataFrameExpandingAgg
label_desc: Use image node_id 10 for calling the DataFrameEwmAgg obj's underlying member method code with example usage: obj._execute_cumsum2(cls, op, in_data) and returns: result,  summary