docstr: TFIDF-Match memories with the textual input to reduce num memories.
  
  :param observation:
      raw observation
  :param memories:
      memories from which to choose
  
  :return memories:
      return - potentially shortened - list of memories
docstr_tok: ["TFIDF-Match","memories","with","the","textual","input","to","reduce","num","memories",".",":","param","observation",":","raw","observation",":","param","memories",":","memories","from","which","to","choose",":","return","memories",":","return","-","potentially","shortened","-","list","of","memories"]
code: def maybe_reduce_memories(
      cls, text: str, memories: List[str], dictionary: DictionaryAgent
  ) -> List[str]:
      """
      TFIDF-Match memories with the textual input to reduce num memories.
  
      :param observation:
          raw observation
      :param memories:
          memories from which to choose
  
      :return memories:
          return - potentially shortened - list of memories
      """
      new_memories = []
      if (
          not memories or len(memories) < 32
      ):  # 512 / 16, assuming 16 tokens max per memory
          return memories
      mpq = MaxPriorityQueue(1000)
      query = MemoryUtils._build_query_representation(text, dictionary)
      for m in memories:
          score = score_match(query, m, 0, dictionary)
          mpq.add(m, score)
      new_memories = list(reversed(mpq))[:32]
      return new_memories
  
imports: import aiohttp
  import asyncio
  from enum import Enum
  import json
  import math
  from nltk.corpus import stopwords
  from nltk.tokenize import word_tokenize
  from nltk.stem import PorterStemmer
  import os
  import random
  import string
  import time
  from typing import List, Tuple, Optional, Dict, Any, Set, Union
  from parlai.agents.ir_baseline.ir_baseline import score_match, MaxPriorityQueue
  from parlai.core.dict import DictionaryAgent
  from parlai.core.message import Message
  from parlai.core.metrics import F1Metric
  from parlai.core.torch_generator_agent import PPLMetric
  import parlai.utils.logging
  import projects.bb3.constants
  import projects.bb3.prompts
  from projects.bb3.agents.module import Module
label_desc: Use image node_id 11 for calling the MemoryUtils obj's underlying member method code with example usage: obj.maybe_reduce_memories(cls, text, memories, dictionary) and returns: new_memories, memories