code: def execute(cls, ctx, op):
      input_data = [ctx[input.key] for input in op.groups]
      obj = pd.concat([d.obj for d in input_data])
  
      params = op.groupby_params.copy()
      if isinstance(params["by"], list):
          by = []
          for v in params["by"]:
              if isinstance(v, ENTITY_TYPE):
                  by.append(ctx[v.key])
              else:
                  by.append(v)
          params["by"] = by
      selection = params.pop("selection", None)
  
      result = obj.groupby(**params)
      if selection:
          result = result[selection]
  
      ctx[op.outputs[0].key] = result
  
imports: import pandas
  import numpy
  from ...None import opcodes
  from ...core import ENTITY_TYPE, OutputType, recursive_tile
  from ...serialization.serializables import FieldTypes, ListField, StringField, BoolField, AnyField
  from ...utils import lazy_import, has_unknown_shape
  from ..operands import DataFrameOperand, DataFrameOperandMixin, SERIES_TYPE
  from ..utils import parse_index, build_empty_df, build_empty_series, standardize_range_index, validate_axis
label_desc: Use image node_id 5 for calling the GroupByConcat obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types