code: def to_tuple(self, truncate=False, pickle_function=False):
      if self.selection and truncate:
          if isinstance(self.selection, Iterable) and not isinstance(
              self.selection, str
          ):
              item_list = list(self.selection)
          else:
              item_list = [self.selection]
          item_set = set(item_list)
  
          if isinstance(self.keys, list):
              sel_keys = self.keys
          elif self.keys in self.obj.columns:
              sel_keys = [self.keys]
          else:
              sel_keys = []
  
          all_items = item_list + [
              k for k in sel_keys or () if k not in item_set
          ]
          if set(all_items) == set(self.obj.columns):
              obj = self.obj
          else:
              obj = self.obj[all_items]
      else:
          obj = self.obj
  
      if pickle_function and callable(self.keys):
          keys = cloudpickle.dumps(self.keys)
      else:
          keys = self.keys
  
      return (
          obj,
          keys,
          self.axis,
          self.level,
          self.exclusions,
          self.selection,
          self.as_index,
          self.sort,
          self.group_keys,
          self.squeeze,
          self.observed,
          self.dropna,
          self.mutated,
          getattr(self.groupby_obj.grouper, "_cache", dict()),
      )
  
imports: import sys
  from collections.abc import Iterable
  import cloudpickle
  import numpy
  from pandas.core.groupby import DataFrameGroupBy, SeriesGroupBy
  from ..utils import estimate_pandas_size, pd_release_version, no_default
label_desc: Use image node_id 12 for calling the GroupByWrapper obj's underlying member method code with example usage: obj.to_tuple(truncate, pickle_function) and returns: obj,  keys,  self,  self,  self,  self,  self,  self,  self,  self,  self,  self,  self,  getattr