code: def _maybe_adjust_qconfig_for_module_name_object_type_order(
      qconfig_mapping: QConfigMapping,
      cur_module_path: str,
      cur_object_type: Callable,
      cur_object_type_idx: int,
      fallback_qconfig: QConfigAny,
  ) -> QConfigAny:
      for (
          module_name,
          object_type,
          index,
      ), qconfig in (
          qconfig_mapping.module_name_object_type_order_qconfigs.items()
      ):
          if (
              (module_name == cur_module_path)
              and (object_type == cur_object_type)
              and (index == cur_object_type_idx)
          ):
              return qconfig
      return fallback_qconfig
  
imports: import torch
  import re
  from collections import defaultdict, OrderedDict
  from typing import Callable, Any, Dict, Tuple, Set, List, Union
  from torch.ao.quantization import QConfig
  from torch.ao.quantization.qconfig import _add_module_to_qconfig_obs_ctr, QConfigAny, qconfig_equals
  from torch.ao.quantization.observer import _is_activation_post_process
  from torch.ao.quantization.backend_config import BackendConfig, DTypeConfig
  from torch.ao.quantization.backend_config.utils import get_module_to_qat_module
  from torch.fx import GraphModule
  from torch.fx.graph import Graph
  from torch.ao.nn.intrinsic import _FusedModule
  from ..utils import _parent_name, get_qconfig_dtypes
  from ..qconfig_mapping import _OBJECT_TYPE_DICT_KEY, _MODULE_NAME_DICT_KEY, _MODULE_NAME_REGEX_DICT_KEY, QConfigMapping
label_desc: Use image node_id 1 for calling a global function with example usage: _maybe_adjust_qconfig_for_module_name_object_type_order(qconfig_mapping, cur_module_path, cur_object_type, cur_object_type_idx, fallback_qconfig) and returns: fallback_qconfig, qconfig