code: def convert_namespace_to_omegaconf(args: Namespace) -> DictConfig:
      """Convert a flat argparse.Namespace to a structured DictConfig."""
  
      # Here we are using field values provided in args to override counterparts inside config object
      overrides, deletes = override_module_args(args)
  
      # configs will be in fairseq/config after installation
      config_path = os.path.join("..", "config")
  
      GlobalHydra.instance().clear()
  
      with initialize(config_path=config_path):
          try:
              composed_cfg = compose(
                  "config", overrides=overrides, strict=False
              )
          except:
              logger.error(
                  "Error when composing. Overrides: " + str(overrides)
              )
              raise
  
          for k in deletes:
              composed_cfg[k] = None
  
      cfg = OmegaConf.create(
          OmegaConf.to_container(
              composed_cfg, resolve=True, enum_to_str=True
          )
      )
  
      # hack to be able to set Namespace in dict config. this should be removed when we update to newer
      # omegaconf version that supports object flags, or when we migrate all existing models
      from omegaconf import _utils
  
      with omegaconf_no_object_check():
          if cfg.task is None and getattr(args, "task", None):
              cfg.task = Namespace(**vars(args))
              from fairseq.tasks import TASK_REGISTRY
  
              _set_legacy_defaults(cfg.task, TASK_REGISTRY[args.task])
              cfg.task._name = args.task
          if cfg.model is None and getattr(args, "arch", None):
              cfg.model = Namespace(**vars(args))
              from fairseq.models import ARCH_MODEL_REGISTRY
  
              _set_legacy_defaults(
                  cfg.model, ARCH_MODEL_REGISTRY[args.arch]
              )
              cfg.model._name = args.arch
          if cfg.optimizer is None and getattr(args, "optimizer", None):
              cfg.optimizer = Namespace(**vars(args))
              from fairseq.optim import OPTIMIZER_REGISTRY
  
              _set_legacy_defaults(
                  cfg.optimizer, OPTIMIZER_REGISTRY[args.optimizer]
              )
              cfg.optimizer._name = args.optimizer
          if cfg.lr_scheduler is None and getattr(
              args, "lr_scheduler", None
          ):
              cfg.lr_scheduler = Namespace(**vars(args))
              from fairseq.optim.lr_scheduler import (
                  LR_SCHEDULER_REGISTRY,
              )
  
              _set_legacy_defaults(
                  cfg.lr_scheduler,
                  LR_SCHEDULER_REGISTRY[args.lr_scheduler],
              )
              cfg.lr_scheduler._name = args.lr_scheduler
          if cfg.criterion is None and getattr(args, "criterion", None):
              cfg.criterion = Namespace(**vars(args))
              from fairseq.criterions import CRITERION_REGISTRY
  
              _set_legacy_defaults(
                  cfg.criterion, CRITERION_REGISTRY[args.criterion]
              )
              cfg.criterion._name = args.criterion
  
      OmegaConf.set_struct(cfg, True)
      return cfg
  
imports: import ast
  import inspect
  import logging
  import os
  import re
  from argparse import ArgumentError, ArgumentParser, Namespace
  from dataclasses import _MISSING_TYPE, MISSING, is_dataclass
  from enum import Enum
  from typing import Any, Dict, List, Optional, Tuple, Type
  from fairseq.dataclass import FairseqDataclass
  from fairseq.dataclass.configs import FairseqConfig
  from hydra.core.global_hydra import GlobalHydra
  from hydra.experimental import compose, initialize
  from omegaconf import DictConfig, OmegaConf, open_dict, _utils
label_desc: Use image node_id 8 for calling a global function with example usage: convert_namespace_to_omegaconf(args) and returns: cfg