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 caps_and_title_terms(list):
  for i in range(len(list)):
    list.append(list[i].title())
    list.append(list[i].lower())
    list.append(list[i].upper())

caps_and_title_terms(proprietary_terms)

negative_words = ["concerned", "behind", "danger", "dangerous", "alarming", "alarmed", "out of control", "help", "unhappy", "bad", "upset", "awful", "broken", "damage", "damaging", "dismal", "distressed", "distressed", "concerning", "horrible", "horribly", "questionable"]

caps_and_title_terms(negative_words)

def censor(banned_text, email):
  if banned_text in email:
    censored_email = email.replace(banned_text, "***")
    return(censored_email)

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


def censor_list(email):
    for i in range(len(proprietary_terms)):
      if proprietary_terms[i] in email:
        email = email.replace(proprietary_terms[i], "***")
    return(email)

##print(email_two)
##print(censor_list(email_two))

def censor_negative_words(email):
  email = censor_list(email)
  negative_tally = 0
  for i in range(len(negative_words)):
    if negative_words[i] in email:
      negative_tally += 1
  for i in range(len(negative_words)):
    if negative_tally > 2:
      email = email.replace(negative_words[i], "***")
  return(email)  

##print(email_three)
##print(censor_negative_words(email_three)) 

def censor_everything(email):
  split_email = email.split()
  censored_words = proprietary_terms + negative_words
  for i in range(len(split_email)):
    if split_email[i] in censored_words:
        split_email[i-1] = len(split_email[i-1]) * "***"
        split_email[i] = len(split_email[i-1]) * "***"
        split_email[i+1] = len(split_email[i-1]) * "***"
  
  final_email = ' '.join(split_email)
  return final_email


print(email_four)
print(censor_everything(email_four))