（审查分配器）codecadamey challenge

Question

问题描述如下： 写一个函数，可以在“否定词”出现两次后，从“否定词”列表中删除任何出现的词，也可以从上一步的列表中删除所有内容，并使用它来删除我的\u str

例如，如果您的函数具有以下文本： “我担心这个项目是可怕的，可怕的，和破碎的”。你知道吗

它应该返回： “我担心这个项目是可怕的，XXXXX，和XXXXXX”。你知道吗

这是我的密码：

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"]

my_str= "I am concerned that this project is horrible, awful, and 
broken."

def censor_three(email):`
  count = 0
  for word in negative_words:
    if word in email:
      count += 1
      if count > 2:
        email= email.replace(word, 'x'* len(word))
  return email
print(censor_three(my_str))

我得到的结果是： 我担心这个项目是xxxxxxxx，糟糕，和xxxxxx。你知道吗

我错过了什么？？你知道吗

Answer 1

您看到这种行为的原因是循环按顺序遍历否定词列表，而不是文本中的词。列表中包含的否定词的顺序是“关注”>；“可怕”>；“破碎”>；“可怕”；这就是为什么“破碎”和“可怕”（在文本中找到的列表中的第3个和第4个词）会被审查，而“关注”和“可怕”（第1个和第2个词）则不会。你知道吗

下面是一个迭代文本的版本：

# We'll use this package to do regex replace on the text
import re

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"]

my_str = "I am concerned that this project is horrible, awful, and broken."

def censor_three(email):
  count = 0
  # Iterate over words in the text.
  # re.sub removes punctuation; str.split splits on space to produce a list of words
  for word in str.split(re.sub(r"[^A-Za-z ]", "", my_str)):
    # Now check if the word from the text is in our list of negative words
    if word in negative_words:
      count += 1
      if count > 2:
        email= email.replace(word, 'x'* len(word))
  return email
print(censor_three(my_str))