%PDF- <> %âãÏÓ endobj 2 0 obj <> endobj 3 0 obj <>/ExtGState<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI] >>/Annots[ 28 0 R 29 0 R] /MediaBox[ 0 0 595.5 842.25] /Contents 4 0 R/Group<>/Tabs/S>> endobj ºaâÚÎΞ-ÌE1ÍØÄ÷{òò2ÿ ÛÖ^ÔÀá TÎ{¦?§®¥kuµùÕ5sLOšuY>endobj 2 0 obj<>endobj 2 0 obj<>endobj 2 0 obj<>endobj 2 0 obj<> endobj 2 0 obj<>endobj 2 0 obj<>es 3 0 R>> endobj 2 0 obj<> ox[ 0.000000 0.000000 609.600000 935.600000]/Fi endobj 3 0 obj<> endobj 7 1 obj<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI]>>/Subtype/Form>> stream
# Copyright 2020 Red Hat, Inc. Jake Hunsaker <jhunsake@redhat.com> # This file is part of the sos project: https://github.com/sosreport/sos # # This copyrighted material is made available to anyone wishing to use, # modify, copy, or redistribute it subject to the terms and conditions of # version 2 of the GNU General Public License. # # See the LICENSE file in the source distribution for further information. from sos.cleaner.mappings import SoSMap class SoSKeywordMap(SoSMap): """Mapping store for user provided keywords By default, this map will perform no matching or obfuscation. It relies entirely on the use of the --keywords option by the user. Any keywords provided are then obfuscated into 'obfuscatedwordX', where X is an incrementing integer. """ word_count = 0 def sanitize_item(self, item): _ob_item = "obfuscatedword%s" % self.word_count self.word_count += 1 if _ob_item in self.dataset.values(): return self.sanitize_item(item) return _ob_item