text: """The main method for testing the article classification model."""
  from typing import Optional, cast, Tuple, List
  from sklearn.neural_network import MLPRegressor  # type:ignore
  from newspaper.article import Article
  from kindle_news_assistant.agent import Agent
  from kindle_news_assistant.model_storage import load_model
  
  
  def start_test(language: Optional[str], thread_count: Optional[int]):
      """Start the assistant model's test.
  
      :param language: The language to filter articles by
      :param thread_count: The number of threads to use during article retrieval.
      """
      agent = Agent(True, thread_count)
  
      articles = agent.fetch()
  
      # Filter and download articles
      perceptron: MLPRegressor = load_model()
      (filtered, complement) = cast(
          Tuple[List[Article], List[Article]],
          agent.filter_by_model(articles, perceptron, language, True),
      )
      agent.download(filtered)
      agent.download(complement)
  
      print("Model would not suggest: " + str(len(complement)))
      print([article.title for article in complement])
      print("")
      print("Model would suggest: " + str(len(filtered)))
      print([article.title for article in filtered])
  