code: def flatten_output_collection_property(
      self, name: str, field: Iterable[Any]
  ) -> Dict[str, Any]:
      flattened_output = {}
      if name in ["present", "past_key_values"]:
          for idx, t in enumerate(field):
              self._flatten_past_key_values_(
                  flattened_output, name, idx, t
              )
      else:
          flattened_output = super().flatten_output_collection_property(
              name, field
          )
  
      return flattened_output
  
imports: import copy
  import dataclasses
  import warnings
  from abc import ABC, abstractmethod
  from collections import OrderedDict
  from typing import TYPE_CHECKING, Any, Callable, Dict, Iterable, List, Mapping, Optional, Tuple, Union
  import numpy
  from packaging import version
  from ..utils import TensorType, is_torch_available, is_vision_available, logging
  from .utils import ParameterFormat, compute_effective_axis_dimension, compute_serialized_parameters_size
label_desc: Use image node_id 10 for calling the OnnxConfigWithPast obj's underlying member method code with example usage: obj.flatten_output_collection_property(name, field) and returns: flattened_output