Censor Dispenser: Not Sure How to do the Final Challenge

designsurfer17101 · August 7, 2020, 4:16am

I’m having a bit of trouble figuring out how to do the final challenge for the Censor Dispenser project. I figure it has something to do with the indices of the words that come before and after censored words, but I’m not entirely sure how to go about censoring words that come before or after when the lengths might be different. I’ve kind of built up my functions off of the previous ones (i.e. my negative word censor builds off of the proprietary terms censor to save on lines and reduce rewritten code). Please find attached the link to my code:

gist.github.com

https://gist.github.com/codecademydev/8b94e7fd3f26f2937845101aa38ec109

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()

def censor(text, word):
  return text.replace(word, "*******")

#print(censor(email_one, "learning algorithms"))

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Any advice is greatly appreciated – including general style and formatting tips.

Thank you!

codeneutrino · August 7, 2020, 5:43am

Hello @designsurfer17101, welcome to the forums! Have you considered using the range() function? What would that imply, and how would you use range to censor words?