grisette-0.1.0.0: Symbolic evaluation as a library
Copyright(c) Sirui Lu 2021-2023
LicenseBSD-3-Clause (see the LICENSE file)
Maintainersiruilu@cs.washington.edu
StabilityExperimental
PortabilityGHC only
Safe HaskellSafe-Inferred
LanguageHaskell2010

Grisette.Backend.SBV

Description

 
Synopsis

Grisette SBV backend configuration

data GrisetteSMTConfig (integerBitWidth :: Nat) where Source #

Solver configuration for the Grisette SBV backend. A Grisette solver configuration consists of a SBV solver configuration and the reasoning precision.

Integers can be unbounded (mathematical integer) or bounded (machine integer/bit vector). The two types of integers have their own use cases, and should be used to model different systems. However, the solvers are known to have bad performance on some unbounded integer operations, for example, when reason about non-linear integer algebraic (e.g., multiplication or division), the solver may not be able to get a result in a reasonable time. In contrast, reasoning about bounded integers is usually more efficient.

To bridge the performance gap between the two types of integers, Grisette allows to model the system with unbounded integers, and evaluate them with infinite precision during the symbolic evaluation, but when solving the queries, they are translated to bit vectors for better performance.

For example, the Grisette term 5 * "a" :: SymInteger should be translated to the following SMT with the unbounded reasoning configuration (the term is t1):

(declare-fun a () Int)           ; declare symbolic constant a
(define-fun c1 () Int 5)         ; define the concrete value 5
(define-fun t1 () Int (* c1 a))  ; define the term

While with reasoning precision 4, it would be translated to the following SMT (the term is t1):

; declare symbolic constant a, the type is a bit vector with bit width 4
(declare-fun a () (_ BitVec 4))
; define the concrete value 1, translated to the bit vector #x1
(define-fun c1 () (_ BitVec 4) #x5)
; define the term, using bit vector addition rather than integer addition
(define-fun t1 () (_ BitVec 4) (bvmul c1 a))

This bounded translation can usually be solved faster than the unbounded one, and should work well when no overflow is possible, in which case the performance can be improved with almost no cost.

We must note that the bounded translation is an approximation and is not sound. As the approximation happens only during the final translation, the symbolic evaluation may aggressively optimize the term based on the properties of mathematical integer arithmetic. This may cause the solver yield results that is incorrect under both unbounded or bounded semantics.

The following is an example that is correct under bounded semantics, while is incorrect under the unbounded semantics:

>>> :set -XTypeApplications -XOverloadedStrings -XDataKinds
>>> let a = "a" :: SymInteger
>>> solve (UnboundedReasoning z3) $ a >~ 7 &&~ a <~ 9
Right (Model {a -> 8 :: Integer})
>>> solve (BoundedReasoning @4 z3) $ a >~ 7 &&~ a <~ 9
Left Unsat

This should be avoided by setting an large enough reasoning precision to prevent overflows.

Constructors

UnboundedReasoning :: SMTConfig -> GrisetteSMTConfig 0 
BoundedReasoning :: (KnownNat integerBitWidth, IsZero integerBitWidth ~ 'False, BVIsNonZero integerBitWidth) => SMTConfig -> GrisetteSMTConfig integerBitWidth 

sbvConfig :: forall integerBitWidth. GrisetteSMTConfig integerBitWidth -> SMTConfig Source #

Extract the SBV solver configuration from the Grisette solver configuration.

SBV backend solver configuration

data SMTConfig #

Solver configuration. See also z3, yices, cvc4, boolector, mathSAT, etc. which are instantiations of this type for those solvers, with reasonable defaults. In particular, custom configuration can be created by varying those values. (Such as z3{verbose=True}.)

Most fields are self explanatory. The notion of precision for printing algebraic reals stems from the fact that such values does not necessarily have finite decimal representations, and hence we have to stop printing at some depth. It is important to emphasize that such values always have infinite precision internally. The issue is merely with how we print such an infinite precision value on the screen. The field printRealPrec controls the printing precision, by specifying the number of digits after the decimal point. The default value is 16, but it can be set to any positive integer.

When printing, SBV will add the suffix ... at the and of a real-value, if the given bound is not sufficient to represent the real-value exactly. Otherwise, the number will be written out in standard decimal notation. Note that SBV will always print the whole value if it is precise (i.e., if it fits in a finite number of digits), regardless of the precision limit. The limit only applies if the representation of the real value is not finite, i.e., if it is not rational.

The printBase field can be used to print numbers in base 2, 10, or 16.

The crackNum field can be used to display numbers in detail, all its bits and how they are laid out in memory. Works with all bounded number types (i.e., SWord and SInt), but also with floats. It is particularly useful with floating-point numbers, as it shows you how they are laid out in memory following the IEEE754 rules.

Constructors

SMTConfig 

Fields

Instances

Instances details
Show SMTConfig

We show the name of the solver for the config. Arguably this is misleading, but better than nothing.

Instance details

Defined in Data.SBV.Core.Symbolic

NFData SMTConfig 
Instance details

Defined in Data.SBV.Core.Symbolic

Methods

rnf :: SMTConfig -> () #

boolector :: SMTConfig #

Default configuration for the Boolector SMT solver

cvc4 :: SMTConfig #

Default configuration for the CVC4 SMT Solver.

yices :: SMTConfig #

Default configuration for the Yices SMT Solver.

dReal :: SMTConfig #

Default configuration for the Yices SMT Solver.

z3 :: SMTConfig #

Default configuration for the Z3 SMT solver

mathSAT :: SMTConfig #

Default configuration for the MathSAT SMT solver

abc :: SMTConfig #

Default configuration for the ABC synthesis and verification tool.

data Timing #

Specify how to save timing information, if at all.