mirror of https://gitlab.com/bashrc2/epicyon
227 lines
7.6 KiB
Python
227 lines
7.6 KiB
Python
__filename__ = "filters.py"
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__author__ = "Bob Mottram"
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__license__ = "AGPL3+"
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__version__ = "1.5.0"
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__maintainer__ = "Bob Mottram"
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__email__ = "bob@libreserver.org"
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__status__ = "Production"
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__module_group__ = "Moderation"
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import os
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from utils import data_dir
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from utils import acct_dir
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from utils import text_in_file
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from utils import remove_eol
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from utils import standardize_text
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from utils import remove_inverted_text
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from utils import remove_square_capitals
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def add_filter(base_dir: str, nickname: str, domain: str, words: str) -> bool:
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"""Adds a filter for particular words within the content of a
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incoming posts
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"""
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filters_filename = acct_dir(base_dir, nickname, domain) + '/filters.txt'
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if os.path.isfile(filters_filename):
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if text_in_file(words, filters_filename):
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return False
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try:
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with open(filters_filename, 'a+',
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encoding='utf-8') as fp_filters:
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fp_filters.write(words + '\n')
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except OSError:
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print('EX: unable to append filters ' + filters_filename)
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return False
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return True
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def add_global_filter(base_dir: str, words: str) -> bool:
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"""Adds a global filter for particular words within
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the content of a incoming posts
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"""
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if not words:
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return False
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if len(words) < 2:
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return False
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filters_filename = data_dir(base_dir) + '/filters.txt'
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if os.path.isfile(filters_filename):
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if text_in_file(words, filters_filename):
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return False
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try:
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with open(filters_filename, 'a+', encoding='utf-8') as fp_filters:
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fp_filters.write(words + '\n')
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except OSError:
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print('EX: unable to append filters ' + filters_filename)
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return False
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return True
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def remove_filter(base_dir: str, nickname: str, domain: str,
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words: str) -> bool:
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"""Removes a word filter
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"""
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filters_filename = acct_dir(base_dir, nickname, domain) + '/filters.txt'
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if not os.path.isfile(filters_filename):
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return False
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if not text_in_file(words, filters_filename):
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return False
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new_filters_filename = filters_filename + '.new'
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try:
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with open(filters_filename, 'r', encoding='utf-8') as fp_filt:
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with open(new_filters_filename, 'w+', encoding='utf-8') as fp_new:
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for line in fp_filt:
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line = remove_eol(line)
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if line != words:
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fp_new.write(line + '\n')
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except OSError as ex:
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print('EX: unable to remove filter ' +
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filters_filename + ' ' + str(ex))
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return False
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if os.path.isfile(new_filters_filename):
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os.rename(new_filters_filename, filters_filename)
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return True
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return False
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def remove_global_filter(base_dir: str, words: str) -> bool:
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"""Removes a global word filter
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"""
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filters_filename = data_dir(base_dir) + '/filters.txt'
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if not os.path.isfile(filters_filename):
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return False
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if not text_in_file(words, filters_filename):
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return False
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new_filters_filename = filters_filename + '.new'
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try:
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with open(filters_filename, 'r', encoding='utf-8') as fp_filt:
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with open(new_filters_filename, 'w+', encoding='utf-8') as fp_new:
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for line in fp_filt:
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line = remove_eol(line)
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if line != words:
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fp_new.write(line + '\n')
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except OSError as ex:
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print('EX: unable to remove global filter ' +
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filters_filename + ' ' + str(ex))
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return False
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if os.path.isfile(new_filters_filename):
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os.rename(new_filters_filename, filters_filename)
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return True
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return False
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def _is_twitter_post(content: str) -> bool:
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"""Returns true if the given post content is a retweet or twitter crosspost
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"""
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features = (
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'/x.com', '/twitter.', '/nitter.', '@twitter.', '@nitter.',
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'>RT <', '_tw<', '_tw@', 'tweet', 'Tweet', '🐦🔗'
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)
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for feat in features:
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if feat in content:
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return True
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return False
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def _is_filtered_base(filename: str, content: str,
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system_language: str) -> bool:
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"""Uses the given file containing filtered words to check
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the given content
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"""
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if not os.path.isfile(filename):
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return False
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content = remove_inverted_text(content, system_language)
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content = remove_square_capitals(content, system_language)
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# convert any fancy characters to ordinary ones
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content = standardize_text(content)
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try:
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with open(filename, 'r', encoding='utf-8') as fp_filt:
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for line in fp_filt:
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filter_str = remove_eol(line)
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if not filter_str:
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continue
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if len(filter_str) < 2:
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continue
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if '+' not in filter_str:
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if filter_str in content:
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return True
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else:
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filter_words = filter_str.replace('"', '').split('+')
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for word in filter_words:
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if word not in content:
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return False
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return True
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except OSError as ex:
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print('EX: _is_filtered_base ' + filename + ' ' + str(ex))
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return False
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def is_filtered_globally(base_dir: str, content: str,
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system_language: str) -> bool:
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"""Is the given content globally filtered?
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"""
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global_filters_filename = data_dir(base_dir) + '/filters.txt'
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if _is_filtered_base(global_filters_filename, content,
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system_language):
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return True
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return False
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def is_filtered_bio(base_dir: str,
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nickname: str, domain: str, bio: str,
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system_language: str) -> bool:
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"""Should the given actor bio be filtered out?
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"""
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if is_filtered_globally(base_dir, bio, system_language):
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return True
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if not nickname or not domain:
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return False
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account_filters_filename = \
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acct_dir(base_dir, nickname, domain) + '/filters_bio.txt'
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return _is_filtered_base(account_filters_filename, bio, system_language)
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def is_filtered(base_dir: str, nickname: str, domain: str,
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content: str, system_language: str) -> bool:
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"""Should the given content be filtered out?
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This is a simple type of filter which just matches words, not a regex
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You can add individual words or use word1+word2 to indicate that two
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words must be present although not necessarily adjacent
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"""
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if is_filtered_globally(base_dir, content, system_language):
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return True
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if not nickname or not domain:
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return False
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# optionally remove retweets
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remove_twitter = acct_dir(base_dir, nickname, domain) + '/.removeTwitter'
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if os.path.isfile(remove_twitter):
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if _is_twitter_post(content):
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return True
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account_filters_filename = \
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acct_dir(base_dir, nickname, domain) + '/filters.txt'
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return _is_filtered_base(account_filters_filename, content,
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system_language)
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def is_question_filtered(base_dir: str, nickname: str, domain: str,
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system_language: str, question_json: {}) -> bool:
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"""is the given question filtered based on its options?
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"""
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if question_json.get('oneOf'):
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question_options = question_json['oneOf']
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else:
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question_options = question_json['object']['oneOf']
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for option in question_options:
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if option.get('name'):
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if is_filtered(base_dir, nickname, domain, option['name'],
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system_language):
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return True
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return False
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