code: def _set_inputs(self, inputs):
      super()._set_inputs(inputs)
      inputs_iter = iter(self._inputs)
  
      new_groups = []
      for _ in self._groups:
          new_groups.append(next(inputs_iter))
      self._groups = new_groups
  
      if isinstance(self._groupby_params["by"], list):
          by = []
          for v in self._groupby_params["by"]:
              if isinstance(v, ENTITY_TYPE):
                  by.append(next(inputs_iter))
              else:
                  by.append(v)
          self._groupby_params["by"] = by
  
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 4 for calling the GroupByConcat obj's underlying member method code with example usage: obj._set_inputs(inputs) without return types