code: def Main(url):
      '''
      Entry Point.
      
      Args:
          url:    PDF url.
      '''
      # The object of Web-scraping.
      web_scrape = WebScraping()
      # Set the object of reading PDF files.
      web_scrape.readable_web_pdf = WebPDFReading()
      # Execute Web-scraping.
      document = web_scrape.scrape(url)
      # The object of automatic sumamrization.
      auto_abstractor = AutoAbstractor()
      # Set tokenizer. This is japanese tokenizer with MeCab.
      auto_abstractor.tokenizable_doc = MeCabTokenizer()
      # Object of abstracting and filtering document.
      abstractable_doc = TopNRankAbstractor()
      # Execute summarization.
      result_dict = auto_abstractor.summarize(document, abstractable_doc)
      # Output summarized sentence.
      [print(sentence) for sentence in result_dict["summarize_result"]f Main(url):
      '''
      Entry Point.
      
      Args:
          url:    PDF url.
      '''
      # The object of Web-scraping.
      web_scrape = WebScraping()
      # Set the object of reading PDF files.
      web_scrape.readable_web_pdf = WebPDFReading()
      # Execute Web-scraping.
      document = web_scrape.scrape(url)
      # The object of automatic sumamrization.
      auto_abstractor = AutoAbstractor()
      # Set tokenizer. This is japanese tokenizer with MeCab.
      auto_abstractor.tokenizable_doc = MeCabTokenizer()
      # Object of abstracting and filtering document.
      abstractable_doc = TopNRankAbstractor()
      # Execute summarization.
      result_dict = auto_abstractor.summarize(document, abstractable_doc)
      # Output summarized sentence.
      [print(sentence) for sentence in result_dict["summarize_result"]]
docs: Entry Point.
      
      Args:
          url:    PDF url.