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()

def censor(word,text):
  new_word = ''
  for item in word:
    new_word += '*'
  return text.replace(word.lower(),new_word).replace(word.upper(),new_word).replace(word.title(),new_word)
  
#print(censor("learning algorithms",email_one))

def censor_list(lst,text):
  new_text = text
  for word in lst:
    new_word = ''
    for item in word:
      new_word += '*'
    new_text = new_text.replace(word.lower(),new_word).replace(word.upper(),new_word).replace(word.title(),new_word)
  return new_text

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

#print(censor_list(proprietary_terms,email_two))

def censor_if_twice(lst,text):
  new_text = censor_list(proprietary_terms,text)
  count = 0
  for word in lst:
    if word in text:
      count += 1
      if count > 1:
        new_word = ''
        for item in word:
          new_word += '*'
        new_text = new_text.replace(word.lower(),new_word).replace(word.upper(),new_word).replace(word.title(),new_word)
      else:
        continue
  return new_text
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"]

#print(censor_if_twice(negative_words,email_three))

def censor_all(text):
  new_text = ''
  for letter in text:
    if letter == '\n' or letter == '\r' or letter == ' ':
      new_text += letter
    else:
      new_text += '*'
  return new_text

#print(censor_all(email_four))