code: def _get_call_tuples(
      base, dshape, schema, cuda, antialias, self_intersect, partitioned
  ):
      # Comments refer to usage in make_append()
      return (
          base._build_append(
              dshape, schema, cuda, antialias, self_intersect
          ),  # func
          (base,),  # bases
          base.inputs,  # cols, arrays of these are passed to reduction append functions
          base.nan_check_column,  # column used to check for NaNs in some where reductions
          base._build_temps(cuda),  # temps
          base._build_combine_temps(cuda, partitioned),  # combine temps
          base.uses_cuda_mutex()
          if cuda
          else UsesCudaMutex.No,  # uses cuda mutex
          base.is_categorical(),
      )
  
imports: from __future__ import annotations
  from itertools import count
  import logging
  from typing import TYPE_CHECKING
  from toolz import unique, concat, pluck, get, memoize
  from numba import literal_unroll
  import numpy
  import xarray
  from .antialias import AntialiasCombination
  from .reductions import SpecialColumn, UsesCudaMutex, by, category_codes, summary
  from .utils import isnull, ngjit, nanmax_in_place, nanmin_in_place, nansum_in_place, nanfirst_in_place, nanlast_in_place, nanmax_n_in_place_3d, nanmax_n_in_place_4d, nanmin_n_in_place_3d, nanmin_n_in_place_4d, nanfirst_n_in_place_3d, nanfirst_n_in_place_4d, nanlast_n_in_place_3d, nanlast_n_in_place_4d, row_min_in_place, row_min_n_in_place_3d, row_min_n_in_place_4d, row_max_in_place, row_max_n_in_place_3d, row_max_n_in_place_4d
label_desc: Use image node_id 5 for calling a global function with example usage: _get_call_tuples(base, dshape, schema, cuda, antialias, _intersect, partitioned) and returns: base,  base,  base,  base,  base,  base,  unknown,  base