class_docstr: fairseq base dataclass that supported fetching attributes and metas
code: def from_namespace(cls, args):
      if isinstance(args, cls):
          return args
      else:
          config = cls()
          for k in config.__dataclass_fields__.keys():
              if k.startswith("_"):
                  # private member, skip
                  continue
              if hasattr(args, k):
                  setattr(config, k, getattr(args, k))
  
          return config
  
imports: import os
  import sys
  from dataclasses import _MISSING_TYPE, dataclass, field
  from typing import Any, List, Optional
  import torch
  from omegaconf import II, MISSING
  from fairseq.dataclass.constants import DATASET_IMPL_CHOICES, DDP_BACKEND_CHOICES, DDP_COMM_HOOK_CHOICES, GENERATION_CONSTRAINTS_CHOICES, GENERATION_DECODING_FORMAT_CHOICES, LOG_FORMAT_CHOICES, PIPELINE_CHECKPOINT_CHOICES, PRINT_ALIGNMENT_CHOICES, ZERO_SHARDING_CHOICES
label_desc: Use image node_id 11 for calling the FairseqDataclass obj's underlying member method code with example usage: obj.from_namespace(cls, args) and returns: args, config