Python Question Help

Question:

Write a function called load_book. This function should be able to:

1. split a book into paragraphs and loop over them, but
2. process each paragraph with spacy;
3. store the document as a triple-nested list, so that each word string is reachable via three indices: word = document[i][j][k];
4. record an index = defaultdict(list) containing a list of [i,j,k] lists for each word; and
5. return document, index

Code I have so far:

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from collections import defaultdict

import re import spacy

nlp = spacy.load("en_core_web_md")

def load_book(book_id): with open(book_id + ".txt" , "r") as f: text = f.read() space = text.strip() paragraphs = space.split(" ")

return(document , index)

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