Thomas Knoll
1 year ago
9 changed files with 191 additions and 7 deletions
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45examples/shields/01_pre_shield.py
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43examples/shields/02_post_shield.py
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5lib/stormpy/examples/files.py
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48lib/stormpy/examples/files/mdp/simple.prism
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30lib/stormpy/shields/__init__.py
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4src/mod_shields.cpp
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1src/shields/optimal_shield.cpp
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1src/shields/post_shield.cpp
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17src/storage/scheduler.cpp
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import stormpy |
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import stormpy.core |
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import stormpy.simulator |
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import stormpy.shields |
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import stormpy.examples |
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import stormpy.examples.files |
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import random |
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def pre_schield_01(): |
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path = stormpy.examples.files.prism_mdp_lava_simple |
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formula_str = "<ShieldFileName, PreSafety, gamma=0.9> Pmax=? [G !\"AgentIsInLavaAndNotDone\"]" |
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#--buildstateval --buildchoicelab |
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program = stormpy.parse_prism_program(path) |
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formulas = stormpy.parse_properties_for_prism_program(formula_str, program) |
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options = stormpy.BuilderOptions([p.raw_formula for p in formulas]) |
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options.set_build_state_valuations(True) |
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options.set_build_choice_labels(True) |
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options.set_build_all_labels() |
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model = stormpy.build_sparse_model_with_options(program, options) |
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initial_state = model.initial_states[0] |
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assert initial_state == 0 |
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result = stormpy.model_checking(model, formulas[0], extract_scheduler=True) |
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assert result.has_scheduler |
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assert result.has_schield |
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shield = result.shield |
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lookup = stormpy.shields.create_shield_action_lookup(model, shield) |
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query = list(lookup.keys())[0] |
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print(query) |
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print(lookup[query]) |
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print(lookup) |
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if __name__ == '__main__': |
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pre_schield_01() |
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import stormpy |
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import stormpy.core |
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import stormpy.simulator |
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import stormpy.shields |
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import stormpy.examples |
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import stormpy.examples.files |
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import random |
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def post_shield_02(): |
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path = stormpy.examples.files.prism_mdp_lava_simple |
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formula_str = "<ShieldFileName, PostSafety, gamma=0.9> Pmax=? [G !\"AgentIsInLavaAndNotDone\"]" |
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program = stormpy.parse_prism_program(path) |
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formulas = stormpy.parse_properties_for_prism_program(formula_str, program) |
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options = stormpy.BuilderOptions([p.raw_formula for p in formulas]) |
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options.set_build_state_valuations(True) |
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options.set_build_choice_labels(True) |
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options.set_build_all_labels() |
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model = stormpy.build_sparse_model_with_options(program, options) |
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initial_state = model.initial_states[0] |
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assert initial_state == 0 |
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result = stormpy.model_checking(model, formulas[0], extract_scheduler=True) |
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assert result.has_scheduler |
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assert result.has_schield |
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shield = result.shield |
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lookup = stormpy.shields.create_shield_action_lookup(model, shield) |
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query = list(lookup.keys())[0] |
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print(query) |
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print(lookup[query]) |
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if __name__ == '__main__': |
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post_shield_02() |
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mdp |
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formula AgentCannotMoveNorth = (xAgent=2&yAgent=1) | (xAgent=3&yAgent=1) | (xAgent=4&yAgent=1) | (xAgent=5&yAgent=1) | (xAgent=6&yAgent=1) | (xAgent=1&yAgent=1); |
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formula AgentCannotMoveEast = (xAgent=6&yAgent=1) | (xAgent=6&yAgent=2) | (xAgent=6&yAgent=3) | (xAgent=6&yAgent=4) | (xAgent=6&yAgent=5); |
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formula AgentCannotMoveSouth = (xAgent=1&yAgent=5) | (xAgent=2&yAgent=5) | (xAgent=3&yAgent=5) | (xAgent=4&yAgent=5) | (xAgent=5&yAgent=5) | (xAgent=6&yAgent=5); |
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formula AgentCannotMoveWest = (xAgent=1&yAgent=2) | (xAgent=1&yAgent=3) | (xAgent=1&yAgent=4) | (xAgent=1&yAgent=5) | (xAgent=1&yAgent=1); |
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formula AgentIsOnSlippery = false; |
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formula AgentIsInLava = (xAgent=2&yAgent=2) | (xAgent=3&yAgent=2) | (xAgent=2&yAgent=3) | (xAgent=3&yAgent=3) | (xAgent=2&yAgent=4) | (xAgent=3&yAgent=4); |
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formula AgentIsInLavaAndNotDone = AgentIsInLava & !AgentDone; |
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label "AgentIsInLavaAndNotDone" = AgentIsInLava & !AgentDone; |
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formula AgentIsInGoal = (xAgent=6&yAgent=5); |
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formula AgentIsInGoalAndNotDone = AgentIsInGoal & !AgentDone; |
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label "AgentIsInGoalAndNotDone" = AgentIsInGoal & !AgentDone; |
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module Agent |
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xAgent : [1..6] init 1; |
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yAgent : [1..7] init 1; |
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AgentDone : bool init false; |
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viewAgent : [0..3] init 0; |
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[Agent_turn_right] !AgentIsInGoal & !AgentIsInLava & !AgentIsOnSlippery -> (viewAgent'=mod(viewAgent + 1, 4)) ; |
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[Agent_turn_left] !AgentIsInGoal & !AgentIsInLava & !AgentIsOnSlippery & viewAgent>0 -> (viewAgent'=viewAgent - 1) ; |
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[Agent_turn_left] !AgentIsInGoal & !AgentIsInLava & !AgentIsOnSlippery & viewAgent=0 -> (viewAgent'=3) ; |
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[Agent_move_north] viewAgent=3 & !AgentIsOnSlippery & !AgentIsInLava &!AgentIsInGoal & !AgentCannotMoveNorth -> (yAgent'=yAgent-1); |
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[Agent_move_east] viewAgent=0 & !AgentIsOnSlippery & !AgentIsInLava &!AgentIsInGoal & !AgentCannotMoveEast -> (xAgent'=xAgent+1); |
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[Agent_move_south] viewAgent=1 & !AgentIsOnSlippery & !AgentIsInLava &!AgentIsInGoal & !AgentCannotMoveSouth -> (yAgent'=yAgent+1); |
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[Agent_move_west] viewAgent=2 & !AgentIsOnSlippery & !AgentIsInLava &!AgentIsInGoal & !AgentCannotMoveWest -> (xAgent'=xAgent-1); |
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[Agent_done] AgentIsInGoal | AgentIsInLava -> (AgentDone'=true); |
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endmodule |
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// <resultingFile, PreSafety, gamma=0.9> Pmax=? [G !'AgentIsInLavaAndNotDone']; |
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// Model handling soll auch das Shield zurückgeben |
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// Im SparseMdpPrctlModelChecker wird das shield mit createShield erstellt |
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// es soll irgendwie im CheckResult landen welches im model-handling.h verifyWithSparseEngine (Methode) gehandelt wird. |
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// Result für den MDP Typen ist im SparseMdpPrctlHelper.computeUntilProbabilities |
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// MDPSparseModelCheckingHelperReturnType ist der Typ von dem |
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// Das ergebnis vom SparseMdpPrctlModelChecker ist ein ExplicitQuantitativeCheckResult |
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// Prinzipieller ablauf |
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// PRISM -> Parser -> ModelEngine | |
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// model_handlling.h -> AbstractMC -> SparseMDPML -> SparseMdpPrctlHelper |
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// Property -> Formula Parser -> | |
@ -1,3 +1,33 @@ |
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import stormpy.shields |
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from . import shields |
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from .shields import * |
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def create_action_lookup(model, scheduler): |
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ret = {} |
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for state_id in model.states: |
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choice = scheduler.get_choice(state_id) |
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action = choice.get_deterministic_choice() |
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state_valuation = model.state_valuations.get_string(state_id) |
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action_to_be_executed = model.choice_labeling.get_labels_of_choice(model.get_choice_index(state_id, action)) |
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ret[state_valuation] = action_to_be_executed |
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return ret |
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def create_shield_action_lookup(model, shield): |
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ret = {} |
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for state_id in model.states: |
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choices = shield.construct().get_choice(state_id) |
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state_valuation = model.state_valuations.get_string(state_id) |
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l = [] |
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for choice in choices.choice_map: |
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action = choice[1] |
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action_to_be_executed = model.choice_labeling.get_labels_of_choice(model.get_choice_index(state_id, action)) |
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l.append(action_to_be_executed) |
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ret[state_valuation] = l |
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return ret |
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