code: def _combine_data_count(pred_results, local_results, axis=0, **__):
      if pred_results is None:
          return local_results[0]
      return local_results[0].add(
          pred_results[0].sum(), axis=pred_results[0].ndim - axis - 1
      )
  
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 5 for calling a global function with example usage: _combine_data_count(pred_results, local_results, axis) and returns: local_results, local_results