code: def download_and_load_checkpoint(
      self,
      checkpoint_filename: str,
      arg_overrides: Optional[Dict[str, str]] = None,
      strict: bool = True,
  ):
      path = self.download(
          self.base_url, self.root, checkpoint_filename
      )
      _arg_overrides = arg_overrides or {}
      _arg_overrides["data"] = self.root.as_posix()
      models, cfg, task = load_model_ensemble_and_task(
          [path.as_posix()], arg_overrides=_arg_overrides, strict=strict
      )
      if self.use_cuda:
          for model in models:
              model.cuda()
  
      return models, cfg, task, self.build_generator(task, models, cfg)
  
imports: from argparse import Namespace
  import os
  import re
  import unittest
  from pathlib import Path
  from tqdm import tqdm
  from typing import List, Dict, Optional
  import torch
  from fairseq.checkpoint_utils import load_model_ensemble_and_task
  from fairseq.scoring.wer import WerScorer
  from fairseq.scoring.bleu import SacrebleuScorer
  from fairseq import utils
  import zipfile
label_desc: Use image node_id 7 for calling the TestFairseqSpeech obj's underlying member method code with example usage: obj.download_and_load_checkpoint(checkpoint_filename, arg_overrides, strict) and returns: models,  cfg,  task,  self