code: def al_mean(alignment_scores) -> float:
      if len(alignment_scores) == 0:
          return 0.0
      return sum(alignment_scores) / len(alignment_scores)
  
file_path: ParlAI/projects/roscoe/utils.py
imports: import numpy
  import os
  import pathlib
  from nltk.tokenize import sent_tokenize
  from typing import Callable, Dict, Iterable, List, Tuple
  import torch
label_desc: Use image node_id 5 for calling a global function with example usage: al_mean(alignment_scores) and returns: unknown, int