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better_profanity

A Python library to clean swear words in strings.

release python license

Inspired from package profanity of Ben Friedland, this library only supports English language and is much faster than the original one, by using string comparison instead of regex.

Requirements

To make use of Python static tying, this package only works with Python 3.6+.

Usage

By default, on the first .censor() call, profanity initializes a set of words, from profanity_wordlist.txt, to be used to compare against the input texts. This set of words will be stored in memory (~5MB+).

1. Censor swear words from a text

By default, profanity replaces each swear words with 4 asterisks ****.

from better_profanity import profanity

if __name__ == "__main__":
    text = "You p1ec3 of sHit."

    censored_text = profanity.censor(text)
    print(censored_text)    # You **** of ****.

2. Censor swear words with custom character

4 instances of the character in second parameter in .censor() will be used to replace the swear words.

from better_profanity import profanity

if __name__ == "__main__":
    text = "You p1ec3 of sHit."

    censored_text = profanity.censor(text, '-')
    print(censored_text)    # You ---- of ----.

3. Check if the string contains any swear words

from better_profanity import profanity

if __name__ == "__main__":
    dirty_text = "That l3sbi4n did a very good H4ndjob."

    profanity.contains_profanity(dirty_text) # True

4. Censor swear words with a custom wordlist

The provided list of words will replace the default wordlist.

4 instances of the character in second parameter in .censor() will be used to replace the swear words.

from better_profanity import profanity

if __name__ == "__main__":
    text = "You p1ec3 of sHit."

    custom_badwords = ['happy', 'jolly', 'merry']
    profanity.load_censor_words(custom_badwords)

    print(profanity.contains_profanity("Fuck you!"))
    # Fuck you

    print(profanity.contains_profanity("Have a merry day! :)"))
    # Have a **** day! :)

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A Python library to clean swear words in strings

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