<jupyter_start><jupyter_text>for a in articles:    autor = a.find("header")        print(etree.tostring(autor, pretty_print=True, method="html"))        """    autor = a.xpath("//div[@class='autor']/span[@class='alias']/text()")    fecha = a.xpath("//time/span[@class='fecha']/text()")    hora = a.xpath("//time/span[@class='hora']/text()")    comentario = a.xpath("//div[@class='texto-comentario']/p/text()")    print("{},{},{},{}".format(autor,fecha,hora,comentario))    """<jupyter_code>autores = tree.xpath("//div[@class='autor']/span[@class='alias']/text()")
fechas = tree.xpath("//time/span[@class='fecha']/text()")
horas = tree.xpath("//time/span[@class='hora']/text()")
comentarios = tree.xpath("//div[@class='texto-comentario']/p/text()")
for comment in comentarios:
    print(comment)
horas
autores
fechas
print(len(autores))
print(len(fechas))
print(len(horas))
print(len(comentarios))
autores.reverse()
fechas.reverse()
horas.reverse()
comentarios.reverse()
for comment in zip(autores, fechas, horas, comentarios):
    print(comment)
import bs4
soup = bs4.BeautifulSoup(resultNoticia, 'lxml')
for article in soup('article'):
    print(article.getText)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.22380553227158423, 'fraction_numerical': 0.0016764459346186086, 'mean_word_length': 6.06508875739645, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 1}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '211261', 'license': 'Apache-2.0', 'n_tokens_mistral': 449, 'n_tokens_neox': 450, 'n_words': 60, 'path': 'resources/notebooks/OldScrapper/ElMundo-CommetsByArticle.ipynb', 'repo_name': 'cfespinoza/comments-retriever', 'size': '1193'}