should_of_bot

import praw

username = 'placeholder'
password = 'placeholderpw'
subnames = ['the_donald','sandersforpresident','blackpeopletwitter']
bad_words = ['should of','should\'of','shouldof','shouldov']
good_words = ['should have','should\'ve','shouldve']
cnt_of = 0
cnt_have = 0

r = praw.Reddit(user_agent='/u/'+username+' making stupid statistics instead of studying quantum physics')
r.login(username,password,disable_warning=True)

for sub in subnames:
    for submission in r.get_subreddit(sub).get_top_from_all(limit=10):
        submission.replace_more_comments(limit=None, threshold=0)
        flat_comments = praw.helpers.flatten_tree(submission.comments)
        for comment in flat_comments:
            if any(bad_word in comment.body for bad_word in bad_words):
                cnt_of += 1
            elif any(good_word in comment.body for good_word in good_words):
                cnt_have += 1

    print sub + ' should of:' + str(cnt_of)
    cnt_of = 0
    print sub + ' should have:' + str(cnt_have)
    cnt_have = 0