code: def check_marian_cfg_assumptions(marian_cfg):
      assumed_settings = {
          "layer-normalization": False,
          "right-left": False,
          "transformer-ffn-depth": 2,
          "transformer-aan-depth": 2,
          "transformer-no-projection": False,
          "transformer-postprocess-emb": "d",
          "transformer-postprocess": "dan",  # Dropout, add, normalize
          "transformer-preprocess": "",
          "type": "transformer",
          "ulr-dim-emb": 0,
          "dec-cell-base-depth": 2,
          "dec-cell-high-depth": 1,
          "transformer-aan-nogate": False,
      }
      for k, v in assumed_settings.items():
          actual = marian_cfg[k]
          if actual != v:
              raise ValueError(
                  f"Unexpected config value for {k} expected {v} got {actual}"
              )
  
imports: import argparse
  import json
  import os
  import socket
  import time
  import warnings
  from pathlib import Path
  from typing import Dict, List, Union
  from zipfile import ZipFile
  import numpy
  import torch
  from torch import nn
  from tqdm import tqdm
  from huggingface_hub.hf_api import list_models
  from transformers import MarianConfig, MarianMTModel, MarianTokenizer
label_desc: Use image node_id 28 for calling a global function with example usage: check_marian_cfg_assumptions(marian_cfg) without return types