什么是好的 Python 脏话过滤器库?

发布于 2024-09-15 15:34:54 字数 1539 浏览 10 评论 0原文

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习ぎ惯性依靠 2024-09-22 15:34:54

我没有找到任何Python脏话库,所以我自己做了一个。

参数


filterlist

与禁用单词匹配的正则表达式列表。请不要使用\b,它将根据inside_words插入。

例子:
['bad', 'un\w+']

ignore_case

默认值:True

不言自明。

replacements

默认值:"$@%-?!"

一个字符串,其中的字符将随机生成替换字符串。

示例:"%&$?!""-" 等。

complete

默认值:True

控制是否整个字符串将被替换,或者是否保留第一个和最后一个字符。

inside_words

默认值:False

控制是否也在其他单词内部搜索单词。禁用此

模块源


(示例在最后)

"""
Module that provides a class that filters profanities

"""

__author__ = "leoluk"
__version__ = '0.0.1'

import random
import re

class ProfanitiesFilter(object):
    def __init__(self, filterlist, ignore_case=True, replacements="$@%-?!", 
                 complete=True, inside_words=False):
        """
        Inits the profanity filter.

        filterlist -- a list of regular expressions that
        matches words that are forbidden
        ignore_case -- ignore capitalization
        replacements -- string with characters to replace the forbidden word
        complete -- completely remove the word or keep the first and last char?
        inside_words -- search inside other words?

        """

        self.badwords = filterlist
        self.ignore_case = ignore_case
        self.replacements = replacements
        self.complete = complete
        self.inside_words = inside_words

    def _make_clean_word(self, length):
        """
        Generates a random replacement string of a given length
        using the chars in self.replacements.

        """
        return ''.join([random.choice(self.replacements) for i in
                  range(length)])

    def __replacer(self, match):
        value = match.group()
        if self.complete:
            return self._make_clean_word(len(value))
        else:
            return value[0]+self._make_clean_word(len(value)-2)+value[-1]

    def clean(self, text):
        """Cleans a string from profanity."""

        regexp_insidewords = {
            True: r'(%s)',
            False: r'\b(%s)\b',
            }

        regexp = (regexp_insidewords[self.inside_words] % 
                  '|'.join(self.badwords))

        r = re.compile(regexp, re.IGNORECASE if self.ignore_case else 0)

        return r.sub(self.__replacer, text)


if __name__ == '__main__':

    f = ProfanitiesFilter(['bad', 'un\w+'], replacements="-")    
    example = "I am doing bad ungood badlike things."

    print f.clean(example)
    # Returns "I am doing --- ------ badlike things."

    f.inside_words = True    
    print f.clean(example)
    # Returns "I am doing --- ------ ---like things."

    f.complete = False    
    print f.clean(example)
    # Returns "I am doing b-d u----d b-dlike things."

I didn't found any Python profanity library, so I made one myself.

Parameters


filterlist

A list of regular expressions that match a forbidden word. Please do not use \b, it will be inserted depending on inside_words.

Example:
['bad', 'un\w+']

ignore_case

Default: True

Self-explanatory.

replacements

Default: "$@%-?!"

A string with characters from which the replacements strings will be randomly generated.

Examples: "%&$?!" or "-" etc.

complete

Default: True

Controls if the entire string will be replaced or if the first and last chars will be kept.

inside_words

Default: False

Controls if words are searched inside other words too. Disabling this

Module source


(examples at the end)

"""
Module that provides a class that filters profanities

"""

__author__ = "leoluk"
__version__ = '0.0.1'

import random
import re

class ProfanitiesFilter(object):
    def __init__(self, filterlist, ignore_case=True, replacements="$@%-?!", 
                 complete=True, inside_words=False):
        """
        Inits the profanity filter.

        filterlist -- a list of regular expressions that
        matches words that are forbidden
        ignore_case -- ignore capitalization
        replacements -- string with characters to replace the forbidden word
        complete -- completely remove the word or keep the first and last char?
        inside_words -- search inside other words?

        """

        self.badwords = filterlist
        self.ignore_case = ignore_case
        self.replacements = replacements
        self.complete = complete
        self.inside_words = inside_words

    def _make_clean_word(self, length):
        """
        Generates a random replacement string of a given length
        using the chars in self.replacements.

        """
        return ''.join([random.choice(self.replacements) for i in
                  range(length)])

    def __replacer(self, match):
        value = match.group()
        if self.complete:
            return self._make_clean_word(len(value))
        else:
            return value[0]+self._make_clean_word(len(value)-2)+value[-1]

    def clean(self, text):
        """Cleans a string from profanity."""

        regexp_insidewords = {
            True: r'(%s)',
            False: r'\b(%s)\b',
            }

        regexp = (regexp_insidewords[self.inside_words] % 
                  '|'.join(self.badwords))

        r = re.compile(regexp, re.IGNORECASE if self.ignore_case else 0)

        return r.sub(self.__replacer, text)


if __name__ == '__main__':

    f = ProfanitiesFilter(['bad', 'un\w+'], replacements="-")    
    example = "I am doing bad ungood badlike things."

    print f.clean(example)
    # Returns "I am doing --- ------ badlike things."

    f.inside_words = True    
    print f.clean(example)
    # Returns "I am doing --- ------ ---like things."

    f.complete = False    
    print f.clean(example)
    # Returns "I am doing b-d u----d b-dlike things."
怎樣才叫好 2024-09-22 15:34:54
arrBad = [
'2g1c',
'2 girls 1 cup',
'acrotomophilia',
'anal',
'anilingus',
'anus',
'arsehole',
'ass',
'asshole',
'assmunch',
'auto erotic',
'autoerotic',
'babeland',
'baby batter',
'ball gag',
'ball gravy',
'ball kicking',
'ball licking',
'ball sack',
'ball sucking',
'bangbros',
'bareback',
'barely legal',
'barenaked',
'bastardo',
'bastinado',
'bbw',
'bdsm',
'beaver cleaver',
'beaver lips',
'bestiality',
'bi curious',
'big black',
'big breasts',
'big knockers',
'big tits',
'bimbos',
'birdlock',
'bitch',
'black cock',
'blonde action',
'blonde on blonde action',
'blow j',
'blow your l',
'blue waffle',
'blumpkin',
'bollocks',
'bondage',
'boner',
'boob',
'boobs',
'booty call',
'brown showers',
'brunette action',
'bukkake',
'bulldyke',
'bullet vibe',
'bung hole',
'bunghole',
'busty',
'butt',
'buttcheeks',
'butthole',
'camel toe',
'camgirl',
'camslut',
'camwhore',
'carpet muncher',
'carpetmuncher',
'chocolate rosebuds',
'circlejerk',
'cleveland steamer',
'clit',
'clitoris',
'clover clamps',
'clusterfuck',
'cock',
'cocks',
'coprolagnia',
'coprophilia',
'cornhole',
'cum',
'cumming',
'cunnilingus',
'cunt',
'darkie',
'date rape',
'daterape',
'deep throat',
'deepthroat',
'dick',
'dildo',
'dirty pillows',
'dirty sanchez',
'dog style',
'doggie style',
'doggiestyle',
'doggy style',
'doggystyle',
'dolcett',
'domination',
'dominatrix',
'dommes',
'donkey punch',
'double dong',
'double penetration',
'dp action',
'eat my ass',
'ecchi',
'ejaculation',
'erotic',
'erotism',
'escort',
'ethical slut',
'eunuch',
'faggot',
'fecal',
'felch',
'fellatio',
'feltch',
'female squirting',
'femdom',
'figging',
'fingering',
'fisting',
'foot fetish',
'footjob',
'frotting',
'fuck',
'fucking',
'fuck buttons',
'fudge packer',
'fudgepacker',
'futanari',
'g-spot',
'gang bang',
'gay sex',
'genitals',
'giant cock',
'girl on',
'girl on top',
'girls gone wild',
'goatcx',
'goatse',
'gokkun',
'golden shower',
'goo girl',
'goodpoop',
'goregasm',
'grope',
'group sex',
'guro',
'hand job',
'handjob',
'hard core',
'hardcore',
'hentai',
'homoerotic',
'honkey',
'hooker',
'hot chick',
'how to kill',
'how to murder',
'huge fat',
'humping',
'incest',
'intercourse',
'jack off',
'jail bait',
'jailbait',
'jerk off',
'jigaboo',
'jiggaboo',
'jiggerboo',
'jizz',
'juggs',
'kike',
'kinbaku',
'kinkster',
'kinky',
'knobbing',
'leather restraint',
'leather straight jacket',
'lemon party',
'lolita',
'lovemaking',
'make me come',
'male squirting',
'masturbate',
'menage a trois',
'milf',
'missionary position',
'motherfucker',
'mound of venus',
'mr hands',
'muff diver',
'muffdiving',
'nambla',
'nawashi',
'negro',
'neonazi',
'nig nog',
'nigga',
'nigger',
'nimphomania',
'nipple',
'nipples',
'nsfw images',
'nude',
'nudity',
'nympho',
'nymphomania',
'octopussy',
'omorashi',
'one cup two girls',
'one guy one jar',
'orgasm',
'orgy',
'paedophile',
'panties',
'panty',
'pedobear',
'pedophile',
'pegging',
'penis',
'phone sex',
'piece of shit',
'piss pig',
'pissing',
'pisspig',
'playboy',
'pleasure chest',
'pole smoker',
'ponyplay',
'poof',
'poop chute',
'poopchute',
'porn',
'porno',
'pornography',
'prince albert piercing',
'pthc',
'pubes',
'pussy',
'queaf',
'raghead',
'raging boner',
'rape',
'raping',
'rapist',
'rectum',
'reverse cowgirl',
'rimjob',
'rimming',
'rosy palm',
'rosy palm and her 5 sisters',
'rusty trombone',
's&m',
'sadism',
'scat',
'schlong',
'scissoring',
'semen',
'sex',
'sexo',
'sexy',
'shaved beaver',
'shaved pussy',
'shemale',
'shibari',
'shit',
'shota',
'shrimping',
'slanteye',
'slut',
'smut',
'snatch',
'snowballing',
'sodomize',
'sodomy',
'spic',
'spooge',
'spread legs',
'strap on',
'strapon',
'strappado',
'strip club',
'style doggy',
'suck',
'sucks',
'suicide girls',
'sultry women',
'swastika',
'swinger',
'tainted love',
'taste my',
'tea bagging',
'threesome',
'throating',
'tied up',
'tight white',
'tit',
'tits',
'titties',
'titty',
'tongue in a',
'topless',
'tosser',
'towelhead',
'tranny',
'tribadism',
'tub girl',
'tubgirl',
'tushy',
'twat',
'twink',
'twinkie',
'two girls one cup',
'undressing',
'upskirt',
'urethra play',
'urophilia',
'vagina',
'venus mound',
'vibrator',
'violet blue',
'violet wand',
'vorarephilia',
'voyeur',
'vulva',
'wank',
'wet dream',
'wetback',
'white power',
'women rapping',
'wrapping men',
'wrinkled starfish',
'xx',
'xxx',
'yaoi',
'yellow showers',
'yiffy',
'zoophilia']

def profanityFilter(text):
brokenStr1 = text.split()
badWordMask = '!@#$%!@#$%^~!@%^~@#$%!@#$%^~!'
new = ''
for word in brokenStr1:
    if word in arrBad:
        print word + ' <--Bad word!'
        text = text.replace(word,badWordMask[:len(word)])
        #print new

return text

print profanityFilter("this thing sucks sucks sucks fucking stuff")

您可以根据需要添加或删除坏词列表,arrBad。

arrBad = [
'2g1c',
'2 girls 1 cup',
'acrotomophilia',
'anal',
'anilingus',
'anus',
'arsehole',
'ass',
'asshole',
'assmunch',
'auto erotic',
'autoerotic',
'babeland',
'baby batter',
'ball gag',
'ball gravy',
'ball kicking',
'ball licking',
'ball sack',
'ball sucking',
'bangbros',
'bareback',
'barely legal',
'barenaked',
'bastardo',
'bastinado',
'bbw',
'bdsm',
'beaver cleaver',
'beaver lips',
'bestiality',
'bi curious',
'big black',
'big breasts',
'big knockers',
'big tits',
'bimbos',
'birdlock',
'bitch',
'black cock',
'blonde action',
'blonde on blonde action',
'blow j',
'blow your l',
'blue waffle',
'blumpkin',
'bollocks',
'bondage',
'boner',
'boob',
'boobs',
'booty call',
'brown showers',
'brunette action',
'bukkake',
'bulldyke',
'bullet vibe',
'bung hole',
'bunghole',
'busty',
'butt',
'buttcheeks',
'butthole',
'camel toe',
'camgirl',
'camslut',
'camwhore',
'carpet muncher',
'carpetmuncher',
'chocolate rosebuds',
'circlejerk',
'cleveland steamer',
'clit',
'clitoris',
'clover clamps',
'clusterfuck',
'cock',
'cocks',
'coprolagnia',
'coprophilia',
'cornhole',
'cum',
'cumming',
'cunnilingus',
'cunt',
'darkie',
'date rape',
'daterape',
'deep throat',
'deepthroat',
'dick',
'dildo',
'dirty pillows',
'dirty sanchez',
'dog style',
'doggie style',
'doggiestyle',
'doggy style',
'doggystyle',
'dolcett',
'domination',
'dominatrix',
'dommes',
'donkey punch',
'double dong',
'double penetration',
'dp action',
'eat my ass',
'ecchi',
'ejaculation',
'erotic',
'erotism',
'escort',
'ethical slut',
'eunuch',
'faggot',
'fecal',
'felch',
'fellatio',
'feltch',
'female squirting',
'femdom',
'figging',
'fingering',
'fisting',
'foot fetish',
'footjob',
'frotting',
'fuck',
'fucking',
'fuck buttons',
'fudge packer',
'fudgepacker',
'futanari',
'g-spot',
'gang bang',
'gay sex',
'genitals',
'giant cock',
'girl on',
'girl on top',
'girls gone wild',
'goatcx',
'goatse',
'gokkun',
'golden shower',
'goo girl',
'goodpoop',
'goregasm',
'grope',
'group sex',
'guro',
'hand job',
'handjob',
'hard core',
'hardcore',
'hentai',
'homoerotic',
'honkey',
'hooker',
'hot chick',
'how to kill',
'how to murder',
'huge fat',
'humping',
'incest',
'intercourse',
'jack off',
'jail bait',
'jailbait',
'jerk off',
'jigaboo',
'jiggaboo',
'jiggerboo',
'jizz',
'juggs',
'kike',
'kinbaku',
'kinkster',
'kinky',
'knobbing',
'leather restraint',
'leather straight jacket',
'lemon party',
'lolita',
'lovemaking',
'make me come',
'male squirting',
'masturbate',
'menage a trois',
'milf',
'missionary position',
'motherfucker',
'mound of venus',
'mr hands',
'muff diver',
'muffdiving',
'nambla',
'nawashi',
'negro',
'neonazi',
'nig nog',
'nigga',
'nigger',
'nimphomania',
'nipple',
'nipples',
'nsfw images',
'nude',
'nudity',
'nympho',
'nymphomania',
'octopussy',
'omorashi',
'one cup two girls',
'one guy one jar',
'orgasm',
'orgy',
'paedophile',
'panties',
'panty',
'pedobear',
'pedophile',
'pegging',
'penis',
'phone sex',
'piece of shit',
'piss pig',
'pissing',
'pisspig',
'playboy',
'pleasure chest',
'pole smoker',
'ponyplay',
'poof',
'poop chute',
'poopchute',
'porn',
'porno',
'pornography',
'prince albert piercing',
'pthc',
'pubes',
'pussy',
'queaf',
'raghead',
'raging boner',
'rape',
'raping',
'rapist',
'rectum',
'reverse cowgirl',
'rimjob',
'rimming',
'rosy palm',
'rosy palm and her 5 sisters',
'rusty trombone',
's&m',
'sadism',
'scat',
'schlong',
'scissoring',
'semen',
'sex',
'sexo',
'sexy',
'shaved beaver',
'shaved pussy',
'shemale',
'shibari',
'shit',
'shota',
'shrimping',
'slanteye',
'slut',
'smut',
'snatch',
'snowballing',
'sodomize',
'sodomy',
'spic',
'spooge',
'spread legs',
'strap on',
'strapon',
'strappado',
'strip club',
'style doggy',
'suck',
'sucks',
'suicide girls',
'sultry women',
'swastika',
'swinger',
'tainted love',
'taste my',
'tea bagging',
'threesome',
'throating',
'tied up',
'tight white',
'tit',
'tits',
'titties',
'titty',
'tongue in a',
'topless',
'tosser',
'towelhead',
'tranny',
'tribadism',
'tub girl',
'tubgirl',
'tushy',
'twat',
'twink',
'twinkie',
'two girls one cup',
'undressing',
'upskirt',
'urethra play',
'urophilia',
'vagina',
'venus mound',
'vibrator',
'violet blue',
'violet wand',
'vorarephilia',
'voyeur',
'vulva',
'wank',
'wet dream',
'wetback',
'white power',
'women rapping',
'wrapping men',
'wrinkled starfish',
'xx',
'xxx',
'yaoi',
'yellow showers',
'yiffy',
'zoophilia']

def profanityFilter(text):
brokenStr1 = text.split()
badWordMask = '!@#$%!@#$%^~!@%^~@#$%!@#$%^~!'
new = ''
for word in brokenStr1:
    if word in arrBad:
        print word + ' <--Bad word!'
        text = text.replace(word,badWordMask[:len(word)])
        #print new

return text

print profanityFilter("this thing sucks sucks sucks fucking stuff")

You can add or remove from the bad words list,arrBad, as you please.

栖竹 2024-09-22 15:34:54

WebPurify 是一个适用于 Python 的亵渎过滤器库

WebPurify is a Profanity Filter Library for Python

相守太难 2024-09-22 15:34:54

脏话?那是什么? ;-)

计算机真正能够识别脏话和咒骂还需要几年的时间,我真诚地希望人们到那时能够明白脏话是人性的,而不是“危险的”。

代替愚蠢的过滤器,要有一个聪明的人类主持人,他可以适当地平衡讨论的基调。一个可以检测滥用行为的主持人,例如:

“如果你是我的丈夫,我会在你的茶里下毒。” - “如果你是我的妻子,我会喝它。”

(顺便说一句,这是温斯顿·丘吉尔发来的。)

Profanity? What the f***'s that? ;-)

It will still take a couple of years before a computer will really be able to recognize swearing and cursing and it is my sincere hope that people will have understood by then that profanity is human and not "dangerous."

Instead of a dumb filter, have a smart human moderator who can balance the tone of discussion as appropriate. A moderator who can detect abuse like:

"If you were my husband, I'd poison your tea." - "If you were my wife, I'd drink it."

(that was from Winston Churchill, btw.)

风渺 2024-09-22 15:34:54

当然,用户可以解决这个问题,但它应该做相当彻底的工作来消除脏话:

import re
def remove_profanity(s):
    def repl(word):
        m = re.match(r"(\w+)(.*)", word)
        if not m:
            return word
        word = "Bork" if m.group(1)[0].isupper() else "bork"
        word += m.group(2)
        return word
    return " ".join([repl(w) for w in s.split(" ")])

print remove_profanity("You just come along with me and have a good time. The Galaxy's a fun place. You'll need to have this fish in your ear.")

It's possible for users to work around this, of course, but it should do a fairly thorough job of removing profanity:

import re
def remove_profanity(s):
    def repl(word):
        m = re.match(r"(\w+)(.*)", word)
        if not m:
            return word
        word = "Bork" if m.group(1)[0].isupper() else "bork"
        word += m.group(2)
        return word
    return " ".join([repl(w) for w in s.split(" ")])

print remove_profanity("You just come along with me and have a good time. The Galaxy's a fun place. You'll need to have this fish in your ear.")
~没有更多了~
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