Appropriate Z3 tactic to eliminate trivial existential quantifierquantifier elimination over bit vectors produces overly complicated resultsQuantifier Elimination - More questionsArrays and QuantifierQuantifier elimination for multilinear rational arithmetic in Z3What is the state-of-the-art solver for quantifier elimination under LRA?How can I write a long smt-lib expression with an existential quantifier?Z3 Interpolants in presence of quantifiersUse Z3 to determine difficulty of quantifier elimination for BV-queriesWhat tactic configurations makes solving Quantifier logic faster in general?z3py: Usage of existential quantifier

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Appropriate Z3 tactic to eliminate trivial existential quantifier


quantifier elimination over bit vectors produces overly complicated resultsQuantifier Elimination - More questionsArrays and QuantifierQuantifier elimination for multilinear rational arithmetic in Z3What is the state-of-the-art solver for quantifier elimination under LRA?How can I write a long smt-lib expression with an existential quantifier?Z3 Interpolants in presence of quantifiersUse Z3 to determine difficulty of quantifier elimination for BV-queriesWhat tactic configurations makes solving Quantifier logic faster in general?z3py: Usage of existential quantifier






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0















I'm experimenting with Z3 tactics and was wondering which tactic can simplify trivial existential quantifiers like the following:



(declare-datatypes () ((Value none (some (val String)))))
(declare-const foo Value)

(assert (exists ((x String)) (and (= foo (some x)) (= x "bar"))))


I've attempted something simple like this:



(apply (repeat (then (or-else split-clause skip) propagate-values simplify)))


But it doesn't get rid of the exists. I can throw qe or qe2 into the mix there, but those feel like overkill here, and generally take ages on nontrivial problems.



If I do a straightforward (check-sat) with maximum verbosity, Z3 has zero trouble solving it:



(simplifier :num-exprs 8 :num-asts 174 :time 0.00 :before-memory 2.78 :after-memory 2.78)
(smt.tactic start)
(smt.propagate-values)
(smt.nnf-cnf)
(smt.reduce-asserted)
(smt.lift-ite)
(smt.reducing)
(smt.refine-injectivity)
(smt.cheap-fourier-motzkin)
(smt.reducing)
(smt.pattern-inference)
(smt.maximizing-bv-sharing)
(smt.reduce-asserted)
(smt.simplifier-done)
(smt.searching)
sat
(model
(define-fun foo () Value
(some "bar"))
)


And I was hoping some of the steps would suggest tactics I can apply myself, but they don't.



Is there a good tactic for this?










share|improve this question






























    0















    I'm experimenting with Z3 tactics and was wondering which tactic can simplify trivial existential quantifiers like the following:



    (declare-datatypes () ((Value none (some (val String)))))
    (declare-const foo Value)

    (assert (exists ((x String)) (and (= foo (some x)) (= x "bar"))))


    I've attempted something simple like this:



    (apply (repeat (then (or-else split-clause skip) propagate-values simplify)))


    But it doesn't get rid of the exists. I can throw qe or qe2 into the mix there, but those feel like overkill here, and generally take ages on nontrivial problems.



    If I do a straightforward (check-sat) with maximum verbosity, Z3 has zero trouble solving it:



    (simplifier :num-exprs 8 :num-asts 174 :time 0.00 :before-memory 2.78 :after-memory 2.78)
    (smt.tactic start)
    (smt.propagate-values)
    (smt.nnf-cnf)
    (smt.reduce-asserted)
    (smt.lift-ite)
    (smt.reducing)
    (smt.refine-injectivity)
    (smt.cheap-fourier-motzkin)
    (smt.reducing)
    (smt.pattern-inference)
    (smt.maximizing-bv-sharing)
    (smt.reduce-asserted)
    (smt.simplifier-done)
    (smt.searching)
    sat
    (model
    (define-fun foo () Value
    (some "bar"))
    )


    And I was hoping some of the steps would suggest tactics I can apply myself, but they don't.



    Is there a good tactic for this?










    share|improve this question


























      0












      0








      0








      I'm experimenting with Z3 tactics and was wondering which tactic can simplify trivial existential quantifiers like the following:



      (declare-datatypes () ((Value none (some (val String)))))
      (declare-const foo Value)

      (assert (exists ((x String)) (and (= foo (some x)) (= x "bar"))))


      I've attempted something simple like this:



      (apply (repeat (then (or-else split-clause skip) propagate-values simplify)))


      But it doesn't get rid of the exists. I can throw qe or qe2 into the mix there, but those feel like overkill here, and generally take ages on nontrivial problems.



      If I do a straightforward (check-sat) with maximum verbosity, Z3 has zero trouble solving it:



      (simplifier :num-exprs 8 :num-asts 174 :time 0.00 :before-memory 2.78 :after-memory 2.78)
      (smt.tactic start)
      (smt.propagate-values)
      (smt.nnf-cnf)
      (smt.reduce-asserted)
      (smt.lift-ite)
      (smt.reducing)
      (smt.refine-injectivity)
      (smt.cheap-fourier-motzkin)
      (smt.reducing)
      (smt.pattern-inference)
      (smt.maximizing-bv-sharing)
      (smt.reduce-asserted)
      (smt.simplifier-done)
      (smt.searching)
      sat
      (model
      (define-fun foo () Value
      (some "bar"))
      )


      And I was hoping some of the steps would suggest tactics I can apply myself, but they don't.



      Is there a good tactic for this?










      share|improve this question
















      I'm experimenting with Z3 tactics and was wondering which tactic can simplify trivial existential quantifiers like the following:



      (declare-datatypes () ((Value none (some (val String)))))
      (declare-const foo Value)

      (assert (exists ((x String)) (and (= foo (some x)) (= x "bar"))))


      I've attempted something simple like this:



      (apply (repeat (then (or-else split-clause skip) propagate-values simplify)))


      But it doesn't get rid of the exists. I can throw qe or qe2 into the mix there, but those feel like overkill here, and generally take ages on nontrivial problems.



      If I do a straightforward (check-sat) with maximum verbosity, Z3 has zero trouble solving it:



      (simplifier :num-exprs 8 :num-asts 174 :time 0.00 :before-memory 2.78 :after-memory 2.78)
      (smt.tactic start)
      (smt.propagate-values)
      (smt.nnf-cnf)
      (smt.reduce-asserted)
      (smt.lift-ite)
      (smt.reducing)
      (smt.refine-injectivity)
      (smt.cheap-fourier-motzkin)
      (smt.reducing)
      (smt.pattern-inference)
      (smt.maximizing-bv-sharing)
      (smt.reduce-asserted)
      (smt.simplifier-done)
      (smt.searching)
      sat
      (model
      (define-fun foo () Value
      (some "bar"))
      )


      And I was hoping some of the steps would suggest tactics I can apply myself, but they don't.



      Is there a good tactic for this?







      z3 smt






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 24 at 14:07







      copumpkin

















      asked Mar 23 at 22:45









      copumpkincopumpkin

      2,2821321




      2,2821321






















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