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Editing: sensitivityquery.py
# Copyright 2015, Tresys Technology, LLC # # SPDX-License-Identifier: LGPL-2.1-only # from collections.abc import Iterable from . import policyrep from .descriptors import CriteriaDescriptor from .mixins import MatchAlias, MatchName from .query import PolicyQuery 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[policyrep.Sensitivity](lookup_function="lookup_sensitivity") sens_dom: bool = False sens_domby: bool = False def results(self) -> Iterable[policyrep.Sensitivity]: """Generator which yields all matching sensitivities.""" self.log.info(f"Generating sensitivity results from {self.policy}") self._match_name_debug(self.log) self._match_alias_debug(self.log) self.log.debug(f"{self.sens=}, {self.sens_dom=}, {self.sens_domby=}") for s in self.policy.sensitivities(): if not self._match_name(s): continue if not self._match_alias(s): continue if self.sens: if self.sens_dom: if self.sens < s: continue elif self.sens_domby: if self.sens > s: continue elif self.sens != s: continue yield s
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