smt

I have seen that Z3 supports optimization via e.g. assert-soft. From what I understood, if given sufficient time, Z3 will report the optimal solution for a given SMT formula. However, I am interested if it is possible to run Z3 for a limited amount of time and have it report the best solution it can find (which does not necessarily mean it is the optimal solution). If I run Z3 on a SMT formula and restrict the time (via parameter -T), it will just report 'timeout' if it did not solve it optimally. I read that the default wmax solver uses a simple procedure to bounds weights and am curious to

In the following working example , How to retrieve the matched model? S, (cl_3,cl_39,cl_11, me_32,m_59,m_81) = EnumSort('S', ['cl_3','cl_39','cl_11','me_32','me_59','me_81']) h1, h2 = Consts('h1 h2', S) def fun(h1 , h2): conds = [ (cl_3, me_32), (cl_39, me_59), (cl_11, me_81), # ... ] and_conds = (And(h1==a, h2==b) for a,b in conds) return Or(*and_conds) For Example: as the following solver s = Solver() x1 = Const('x1', S) x2 = Const('x2', S) s.add(fun(x1,x2)) print s.check() print s.model() I'm assuming that you want the value of x1 and x2 in the model produced by Z3. If that is the case, you

1-业务背景 　　-SMT自动贴标机旁边配备一台条码打印机，SMT自动贴标机根据Mes条码规则，自动生成标贴并打印标贴，自动贴标代替人工贴标贴，并完成母子条码Link绑定； 　　-由于SMT自动贴标机自动生成标贴并打印，问题较多，出于生产效率考虑，放弃这一步； 2-现有业务逻辑 　　-标贴房根据Mes条码规则，预先打印好工单所有条码； 　　-然后拉长拿一卷卷条码去SMT自动贴标机安装； 　　-SMT自动贴标机，完成自动贴标，并调用Mes的Service接口将一组组条码完成条码自动Link绑定； 来源：博客园 作者： 磨砺 链接：https://www.cnblogs.com/turnip/p/11561775.html

How to generate multiple models for bit vector formula using z3 solver in smt2 format? While implementing IDEA Code for Bit Vector it is generating one model. How to generate all possible models for the same if exists? ex.smt2 file (set-logic QF_BV) (set-info :smt-lib-version 2.0) (declare-const A0 (_ BitVec 16)) (declare-const A1 (_ BitVec 16)) (declare-const A2 (_ BitVec 16)) (declare-const B0 (_ BitVec 16)) (declare-const B1 (_ BitVec 16)) (declare-const B2 (_ BitVec 16)) (declare-const C0 (_ BitVec 16)) (declare-const C1 (_ BitVec 16)) (declare-const C2 (_ BitVec 16)) (declare-const D0 (_

I get the following statistics in Z3. (:added-eqs 24529 :binary-propagations 43837 :bv-bit2core 7115 :bv-conflicts 156 :bv-diseqs 10395 :bv-dynamic-diseqs 10028 :bv->core-eq 10401 :conflicts 409 :decisions 4840 :del-clause 84926 :final-checks 2 :max-generation 4 :memory 5.69 :minimized-lits 467 :mk-clause 88358 :propagations 90195 :quant-instantiations 3388 :restarts 3 :time 0.83) I'd like to know what the metrics used for each result row. Can you help me? Malte Schwerhoff Disclaimer: I have the feeling that interpreting the statistics the right way is quite an art, and that the Z3 developers

Let s1 be an arbitrary string in Z3Str. I can check if the third character in it is a lower case letter: (declare-const s1 String) (assert (= s1 "74b\x00!!###$$")) (assert (str.in.re (str.at s1 2) (re.range "a" "z"))) (check-sat) (get-value (s1)) Now suppose it really is, and I want to replace that third letter with its upper case (the new string s2 will contain the replaced version). Inspired by standard programming languages, I might be tempted to do something like this: (declare-const s1 String) (declare-const s2 String) (declare-const b1 Bool) (assert (= s1 "74b\x00!!###$$")) (assert (= b1

Consider the following SMT-LIB code: (set-option :auto_config false) (set-option :smt.mbqi false) ; (set-option :smt.case_split 3) (set-option :smt.qi.profile true) (declare-const x Int) (declare-fun trigF (Int Int Int) Bool) (declare-fun trigF$ (Int Int Int) Bool) (declare-fun trigG (Int) Bool) (declare-fun trigG$ (Int) Bool) ; Essentially noise (declare-const y Int) (assert (! (not (= x y)) :named foo )) ; Essentially noise (assert (forall ((x Int) (y Int) (z Int)) (! (= (trigF$ x y z) (trigF x y z)) :pattern ((trigF x y z)) :qid |limited-F| ))) ; Essentially noise (assert (forall ((x Int))