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__pycache__
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__init__.py
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boolquery.py
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boundsquery.py
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categoryquery.py
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commonquery.py
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constraintquery.py
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defaultquery.py
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descriptors.py
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devicetreeconquery.py
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dta.py
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exception.py
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fsusequery.py
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genfsconquery.py
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ibendportconquery.py
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ibpkeyconquery.py
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infoflow.py
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initsidquery.py
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ioportconquery.py
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mixins.py
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mlsrulequery.py
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netifconquery.py
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nodeconquery.py
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objclassquery.py
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pcideviceconquery.py
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perm_map
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permmap.py
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pirqconquery.py
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polcapquery.py
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policyrep.cpython-36m-x86_64-linux-gnu.so
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portconquery.py
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query.py
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rbacrulequery.py
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rolequery.py
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sensitivityquery.py
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terulequery.py
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typeattrquery.py
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typequery.py
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userquery.py
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util.py
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# Copyright 2015, Tresys Technology, LLC # # This file is part of SETools. # # SETools is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as # published by the Free Software Foundation, either version 2.1 of # the License, or (at your option) any later version. # # SETools is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with SETools. If not, see # <http://www.gnu.org/licenses/>. # import logging from .descriptors import CriteriaDescriptor from .mixins import MatchAlias, MatchName from .query import PolicyQuery from .util import match_level class SensitivityQuery(MatchAlias, MatchName, PolicyQuery): """ Query MLS Sensitivities Parameter: policy The policy to query. Keyword Parameters/Class attributes: name The name of the category to match. name_regex If true, regular expression matching will be used for matching the name. alias The alias name to match. alias_regex If true, regular expression matching will be used on the alias names. sens The criteria to match the sensitivity by dominance. sens_dom If true, the criteria will match if it dominates the sensitivity. sens_domby If true, the criteria will match if it is dominated by the sensitivity. """ sens = CriteriaDescriptor(lookup_function="lookup_sensitivity") sens_dom = False sens_domby = False def __init__(self, policy, **kwargs): super(SensitivityQuery, self).__init__(policy, **kwargs) self.log = logging.getLogger(__name__) def results(self): """Generator which yields all matching sensitivities.""" self.log.info("Generating sensitivity results from {0.policy}".format(self)) self._match_name_debug(self.log) self._match_alias_debug(self.log) self.log.debug("Sens: {0.sens!r}, dom: {0.sens_dom}, domby: {0.sens_domby}".format(self)) for s in self.policy.sensitivities(): if not self._match_name(s): continue if not self._match_alias(s): continue if self.sens and not match_level( s, self.sens, self.sens_dom, self.sens_domby, False): continue yield s