#!/usr/bin/env python
# BSD 3-Clause License
#
# Copyright (c) 2017 xxxx
# All rights reserved.
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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# ============================================================================
#!/usr/bin/env python
# Apache 2.0
import sys
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--exclude', '-v', dest='exclude',
action='store_true', help='exclude filter words')
parser.add_argument('filt', type=str, help='filter list')
parser.add_argument('infile', type=str, help='input file')
args = parser.parse_args()
vocab = set()
with open(args.filt) as vocabfile:
for line in vocabfile:
vocab.add(line.strip())
with open(args.infile) as textfile:
for line in textfile:
if args.exclude:
print(" ".join(
map(lambda word: word if not word in vocab else '', line.strip().split())))
# else:
# print(" ".join(map(lambda word: word if word in vocab else '<UNK>', unicode(line, 'utf_8').strip().split())).encode('utf_8'))