Codecademy export

script.py

# These are the emails you will be censoring. The open() function is opening the text file that the emails are contained in and the .read() method is allowing us to save their contexts to the following variables:
email_one = open("email_one.txt", "r").read()
email_two = open("email_two.txt", "r").read()
email_three = open("email_three.txt", "r").read()
email_four = open("email_four.txt", "r").read()

proprietary_terms = ["she", "personality matrix", "sense of self", "self-preservation", "learning algorithm", "her",
                     "herself"]


def censor(email, word):
    list_to_string = ""
    hashes = "#" * len(word)
    email_censor = email.replace(word, hashes)
    return email_censor


email_split = email_two.split()

list_to_string1 = ""
def email_advance(mail, words):
    global list_to_string1
    edit_email = ['']
    edit_email[0] = email_split
    for i in edit_email[0]:
        for b in words:
            list_to_string = " ".join([str(i) for i in edit_email[0]])
            if i in b:
                hashes = "#" * len(i)
                list_to_string1 = list_to_string.replace(i, hashes)
            edit_email[0] = list_to_string1.split()
        else:
            break

    return edit_email[0]


print(email_advance(email_two, proprietary_terms))