text: from rank_bm25 import BM25Okapi
  
  corpus = [
      "Hello there good man!",
      "It is quite windy in London",
      "How is the weather today?"
  ]
  
  tokenized_corpus = [doc.split(" ") for doc in corpus]
  
  bm25 = BM25Okapi(tokenized_corpus)
  # <rank_bm25.BM25Okapi at 0x1047881d0>
  
  
  query = "windy London"
  tokenized_query = query.split(" ")
  
  doc_scores = bm25.get_scores(tokenized_query)
  ranks = bm25.get_top_n(tokenized_query, corpus, n=2)
  print(ranks)
  # ['It is quite windy in London']
  # array([0.        , 0.93729472, 0.        ])
  