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()

#censor_1
def censor_one(text_one):
  if "learning algorithms" or "Learning algorithms" in text_one:
  
      return text_one
  
#censor_2
proprietary_terms = ["she", "personality matrix", "sense of self", "self-preservation", "learning algorithm", "her"]
proprietary_terms_capital=[]
for x in proprietary_terms:
  proprietary_terms_capital.append(x[0].upper() + x[1:])
proprietary_terms_complete = proprietary_terms + proprietary_terms_capital  
def censor_two(list_1,text_two):
  for x in list_1:
    if x in text_two:
      return text_two
#print(censor_two(proprietary_terms_complete, email_two))


negative_words = ["concerned", "out of control", "behind", "dangerous", "danger", "alarming", "alarmed", "help", "unhappy", "bad", "upset", "awful", "broken", "damage", "damaging", "dismal", "distressed", "distressed", "concerning", "horrible", "horribly", "questionable"]
negative_words_capital=[]
for x in negative_words:
  negative_words_capital.append(x[0].upper() + x[1:])
negative_words_complete = negative_words + negative_words_capital  

complete_censor_list = negative_words_complete + proprietary_terms_complete
  
negative_words_1 = []

words_before = []
words_after = []

#censor_3
def censor_three(list_1, list_2, text_three):
  for v in negative_words_complete:
    negative_words_1.append('fuck'+v)
  for p in list_1:
    for l in list_2:
      if p in text_three:
        text_three=text_three.replace(l, 'fuck'+l)
    text_three=text_three.replace("fuck", '', 2)
    
    for q in negative_words_1:
      if q in text_three:
        text_three = text_three.replace(q, (len(q)-4)*'#')
        text_three=text_three.replace('fuck'+len(q)*'#', len(q)*'#')
  return text_three
#print(censor_three(complete_censor_list, negative_words_complete, email_three))

#censor_four
key_words = []
check_list = []
def censor_four(list_4, text_four, text_five):
  for x in list_4:
    text_four=text_four.replace(x, 'XXXX')
  text_four_split = text_four.replace(x, 'XXXX').split()
  for y in range(len(text_four_split)):
    if 'XXXX' in text_four_split[y]:
      key_words.append(text_four_split[y+1])
  for z in range(len(text_four_split)):
    if 'XXXX' in text_four_split[z]:
      key_words.append(text_four_split[z-1])
  for XXXX in key_words:
    if 'XXXX' in XXXX:
      key_words.remove(XXXX)
  for v in key_words:
    if v not in check_list:
      check_list.append(v)
  
  full_check_list = complete_censor_list + check_list
  
  for word in complete_censor_list:
    if word in text_five:
      return text_five

print(censor_four(complete_censor_list, email_four, email_four))