• Hackage: http://hackage.haskell.org/package/sbv
• GitHub: http://github.com/LeventErkok/sbv

Version 11.0, 2024-11-06

• [BACKWARDS COMPATIBILITY] SBV now handles arrays in a much more uniform way, unifying their use with all the other symbolic types. This required some back-wards compatibility changes, mostly around replacing calls to newArray with sArray. I expect there to be no semantic changes, only syntactic ones. Please do get in touch if you have trouble porting your old code using arrays to the new API.

• Turn on support for floats and uninterpreted sorts/functions in Bitwuzla.

• Add Data.SBV.Tools.KnuckleDragger, inspired by and modeled after Philip Zucker’s tool (https://github.com/philzook58/knuckledragger) by the same name.

• Added several KnuckleDragger proof examples, see Documentation.SBV.Examples.KnuckleDragger modules. Amongst the proofs are the irrationality of square-root of 2, several list lemmas, and a few inductive proofs over naturals, amongst others.

• Add sDivides, which takes a concrete integer and a (possibly symbolic), and returns sTrue if the first argument divides the second. It is essentially equivalent to @a sMod n .== 0`, but it translates to the built-in divisibility predicate in SMTLib, which (might) perform better. Note that the @n@ argument is concrete, and must be > 0.

• Clarified SSet, SList, and SArray: keys/contents: In SMTLib, the semantics of these containers use object-equality. In Haskell, they use instances of the Eq class. Usually this is just fine, except when it isn’t: Floats! Since NaN /= NaN, and +0 is distinguished from -0, what holds in Haskell doesn’t in the SMTLib logic. So, we define the semantics of equality to follow the SMTLib semantics. If you are not using floats, then this doesn’t matter. If you do, bear in mind that the values will be treated with object equality; which (honestly) is easier to understand.

• SBV now prints the elements of uninterpreted sorts more simply for z3. Previously, we simply used the name z3 produced, which looked like @T!val!i@ for the uninterpreted type @T@, we know convert it to @T_i@.

• Added Documentation/SBV/Examples/Puzzles/DieHard.hs, which solves the die-hard jug-water problem using a BMC style search.

• [BACKWARDS COMPATIBILITY] Changed the signature of the functions bmc (and bmcWith), induct (and inductWith) functions, so they take the transition as a relation, instead of a function returning multiple values. This generalizes the use cases, and it is easy to translate from existing applications. Simply change your old ‘State -> [State]’ function to ‘State -> State -> SBool’, which can be achieved by ‘newTrans s1 s2 = s2 sElem oldTrans s1’, though you probably want to code this in a more readable way depending on the actual transition relation you want to model. Furthermore, the function bmc is now split into two bmcRefute and bmcCover, to indicate use cases more clearly.

• [BACKWARDS COMPATIBILITY] Removed the Fresh class, which was used as a proxy for the Queriable class as an easier to instantiate version. The extra functionality unfortunately made writing custom Queriable instances harder, and it is usually not harder to write Queriable in the first place. If you were using the Fresh class, instead define Queriable, the definition should be fairly simple. Please contact if you have difficulty using the Queriable interface.

Version 10.12, 2024-08-11

• Fix a few custom-floating-point format conversion bugs. Thanks to Sirui Lu for the patch.

• Add a few OVERLAPPABLE pragms to generic Queriable instances to make them easily overridable by user programs. Thanks to Marco Zocca for reporting.

• Add signedMulOverflow, which checks whether multiplication of two signed-bitvectors can overflow. SBV already had a method (bvMulO) that served this purpose, translating to the corresponding predicate in SMTLib. Unfortunately not all solvers support this predicate efficiently. In particular, as of Aug 2024, bitwuzla has a performant checker for this overflow, but z3 does not. In case you cannot use bitwuzla for some reason, you might want to use the new signedMulOverflow funtion for better performance.

Version 10.11, 2024-07-26

• Add Documentation.SBV.Examples.Puzzles.Tower module, solving the visible towers puzzle.

• Fix several representation bugs related to arbitrary-precision floats. Thanks to Sirui Lu for the reports and patches.

• Removed the generic Num a => Num (SBV a) instance. When used at a non-standard type, this created type-checking but invalid SBV programs. See https://github.com/LeventErkok/sbv/issues/706 for details.

• Add functions optLexicographic, optLexicographicWith, optPareto, optParetoWith, optIndependent, optIndependentWith which makes using optimization functions easier. These are simple wrappers over the existing optimization routines, simplifying their interface.

• Change how optimization results are presented when the underlying metric space is different from the type being optimized. As noted in https://github.com/LeventErkok/sbv/issues/716, the format SBV used was confusing. We now be more explicit, and print the original value in its own right, along with the metric-space value. Thanks to Andrew Anderson for reporting.

Version 10.10, 2024-05-11

• Add EqSymbolic, OrdSymbolic and Mergeable instances for NonEmpty type

• Better handling of spawned processes, avoiding zombies. Thanks to Sirui Lu for the patch.

Version 10.9, 2024-04-05

• Fix printing of floats to be more consistent, using lowercase letters

Version 10.8, 2024-04-05

• Increase the number of digits used in printing floats in decimal base, which leads to better output in most cases.

Version 10.7, 2024-03-23

• Fix SMTDefinable instances for functions of arity 8-12. Thanks to Nick Lewchenko for the patch.

Version 10.6, 2024-03-16

• Added Data.SBV.Tools.BVOptimize module, which implements a custom optimizer for unsigned bit-vector values. See ‘minBV’ and ‘maxBV’ methods. These algorithms use the incremental solver instead of the optimizer engines, and they can be more performant in certain cases. (For instance, z3’s optimization engine isn’t incremental, which makes it perform poorly on certain BV-optimization problems.) These algorithms scan the bits from most to least significant bit, and individually set/unset them in an incremental fashion to optimize quickly.

• SBV web-page is no longer maintained. The info is put into the README.md instead.

Version 10.5, 2024-02-20

• Export svFloatingPointAsSWord through Data.SBV.Internals

• crackNum: if verbose, alert the user if surface value of a NaN doesn’t match its calculated value due to the redundancy in NaN representations.

Version 10.4, 2024-02-15

• Before issuing a get-value, make sure there are no outstanding assert calls. See: https://github.com/LeventErkok/sbv/issues/682 for details.

• crackNum mode now displays the surface form of NaNs more faithfully, if provided with the input string. This functionality is used by the crackNum executable.

Version 10.3, 2024-01-05

• Clean-up GHC extensions required in the cabal file, and changes required to compile cleanly with GHC 9.8 series.

• Added ‘partition’, which allows for partitioning all-sat search spaces when models are generated.

• Added ‘sSetBitTo’, variant of ‘setBitTo’, but allows symbolic indexes.

• Added ‘uninterpretWithArgs’, which allows for user given argument names for uninterpreted functions. These names come in handy when displaying models of uninterpreted functions.

• Added Documentation.SBV.Examples.Misc.ProgramPaths, showing an example use of all-sat partitioning.

• Added Documentation.SBV.Examples.BitPrecise.PEXT_PDEP, modeling x86 instructions PDEP and PEXT.

• Added Documentation.SBV.Examples.Puzzles.Newspaper, another puzzle example.

• Added Documentation.SBV.Examples.ProofTools.AddHorn, demonstrating the use of the horn-clause solver for invariant generation.

• Add ‘sbv2smt’, which renders the given sbv definition as an SMTLib definition. Mainly useful for debugging purposes. It can render both ground definitions and functions, and the latter can be handy in producing SMTLib functions to be used in other settings.

• Add support for OpenSMT from Università della Svizzera italiana https://verify.inf.usi.ch/opensmt

• Fix a bug in bit-vector rotation that manifested itself in small-bv sizes. Thanks to Sirui Lu for reporting.

• [BACKWARDS COMPATIBILITY] Change the overflow detection API to match the new SMTLib predicates. These predicates do not distinguish between over/underflow, so strictly speaking the new API is less powerful than the old one. However, we choose to follow SMTLib here for portability purposes. If you need separate overflow/underflow checking you can use the encodings from earlier implementations, please get in touch if this proves problematic.

• [BACKWARDS COMPATIBILITY] Dropped hasSize, which checked cardinality of sets. This call hasn’t been supported by z3 for some time, and its uses were thus limited, and behavior was problematic even when supported due to finiteness issues.

• Removed a few examples, which were causing regression failures with changes in z3. These are trickier examples, and new releases of z3 had varying performance issues, making them not suitable regression and documentation purposes. In particular, ‘Documentation.SBV.Examples.Existentials.CRCPolynomial’, ‘Documentation.SBV.Examples.Lists.Nested’, and ‘Documentation.SBV.Examples.BitPrecise.MultMask’ were removed.

• SBV now keeps track of contexts, thus avoiding rare (but unsound) cases of incorrect API usage where contexts are mixed. We now issue a run-time error. See https://github.com/LeventErkok/sbv/issues/71 for details.

• Improve the getFunction signature, to return more detailed info on the produced SMT functions, including the parse-tree.

• SBV now tracks whether a declared uninterpreted function is curried or not. This helps in more precise printing of satisfying models with uninterpreted functions. (Previously all UI functions were displayed as if they were curried.)

Version 10.2, 2023-06-09

• Improve HLint pragmas. Thanks to George Thomas for the patch.

• Added an implementation of the Prince encryption algorithm. See Documentation/SBV/Examples/Crypto/Prince.hs.

• Added on-the-fly decryption mode for AES. See Documentation/SBV/Examples/Crypto/AES.hs for details.

• Added functions sEDivMod, sEDiv, and sEMod which perform euclidian division over symbolic integers.

• Added ‘Data.SBV.Tools.NaturalInduction’ which provides a proof method to perform induction over natural numbers. See the functions ‘inductNat’ and ‘inductNatWith’.

Version 10.1, 2023-04-14

• [BACKWARDS COMPATIBILITY] SBV now handles quantifiers in a much more disciplined way. All of the previous ways of creating quantified variables (i.e., the functions sbvForall, sbvExists, universal, existential) are removed. Instead, we can now express quantifiers in a much straightforward way, by passing them to ‘constrain’ directly. A simple example is:

  constrain $ \(Forall x) (Exists y) -> y .> (x :: SInteger)
  

  You can nest quantifiers as you wish, and the quantified parameters can be of arbitrary symbolic type. Additionally, you can convert such a quantified formula to a regular boolean, via a call to ‘quantifiedBool’ function, essentially performing quantifier elimination:

  other_condition .&& quantifiedBool (\(Forall x) (Exists y) -> y .> (x :: SInteger))
  

  Or you can prove/sat quantified formulas directly:

  prove $ \(Forall x) (Exists y) -> y .> (x :: SInteger)
  

  This facility makes quantifiers part of the regular SBV language, allowing them to be mixed/matched with all your other symbolic computations.

  SBV also supports the constructors ExistsUnique to create unique existentials, in addition to ForallN and ExistsN for creating multiple variables at the same time.

  The new function skolemize can be used to skolemize quantified formulas: The skolemized version of a formula has no existential (replaced by uninterpeted functions), and is equisatisfiable to the original.

  See the following files demonstrating reasoning with quantifiers:

  • Documentation/SBV/Examples/Puzzles/Birthday.hs
  • Documentation/SBV/Examples/Puzzles/KnightsAndKnaves.hs
  • Documentation/SBV/Examples/Puzzles/Rabbits.hs
  • Documentation/SBV/Examples/Misc/FirstOrderLogic.hs

• You can now define new functions in the generated SMTLib output, via an smtFunction call. Typically, we simply unroll all definitions, but there are certain cases where we would like the functions remain intact in the output. This is especially true of recursive functions, where the termination would depend on a symbolic variable, which cannot be symbolically-simulated. By translating these to SMTLib functions, we can now handle such definitions. Note that such definitions will no longer be constant-folded on the Haskell side, and each call will induce a call in the solver instead. The new method smtFunction can handle both recursive and non-recursive functions. See “Documentation/SBV/Examples/Misc/Definitions.hs” for examples.

• Added new SList functions: map, mapi, foldl, foldr, foldli, foldri, zip, zipWith, filter, all, any. Note that these work on arbitrary–but finite–length lists, with all terminating elements, per usual SBV interpretation. These functions map to the underlying solver’s fold and map functions, via lambda-abtractions. Note that the SMT engines remain incomplete with respect to sequence theories. (That is, any property that requires induction for its proof will cause unknown answers, or will not terminate.) However, basic properties, especially when the solver can determine the shape of the sequence arguments (i.e., number of elements), should go through.

• New function ‘lambdaAsArray’ allows creation of array values out of lambda-expressions. See “Documentation/SBV/Examples/Misc/LambdaArray.hs” for an example use. This adds expressive power, as we can now specify arrays with index dependent contents much more easily.

• Added support for abduct-generation, as supported by CVC5. See “Documentation/SBV/Examples/Queries/Abducts.hs” for a basic example.

• Added support for special-relations. You can now check if a relation is partial, linear, tree, or piecewise-linear orders in SBV. (Or you can constrain relations to satisfy the corresponding laws, thus creating relations with these properties.) Additionally, you can create transitive-closures of relations. See Documentation/SBV/Examples/Misc/FirstOrderLogic.hs for several examples.

• [BACKWARDS COMPATIBILITY] The signature of Data.SBV.List’s concat has changed. In previous releases this was a synonym for appending two lists, now it takes a list-of-lists and flattens it, matching the Haskell list function with the same name.

• [BACKWARDS COMPATIBILITY] The function addAxiom is removed. Instead use quantified-constraints, as described above.

• [BACKWARDS COMPATIBILITY] Renamed the Uninterpreted class to SMTDefinable, since its task has changed, handling both kinds of definitions. Unless you were referring to the name Uninterpreted in your code, this should not impact you. Otherwise, simply rename it to SMTDefinable.

• [BACKWARDS COMPATIBILITY] The configuration variable ‘allowQuantifiedQueries’ is removed. It is no longer relevant with our new quantification strategy described above.

• [BACKWARDS COMPATIBILITY] The function ‘isVacuous’ is renamed to ‘isVacuousProof’ (and ‘isVacuousWith’ became ‘isVacuousProofWith’) to better reflect this function applies to checking vacuity in a proof context.

• [BACKWARDS COMPATIBILITY] Satisfiability and proof checks are now put in different classes, instead of sharing the same class. This should not have any impact on user-level code, unless you were building libraries on top of SBV. See the ‘ProvableM’ and ‘SatisfiableM’ classes.

• [BACKWARDS COMPATIBILITY] Renamed ‘Goal’ to ‘ConstraintSet’ which is more indicative of its purpose. A set of constraints can be satisfied, but proving them does not make sense. The name goal, however, suggested something we can prove.

• [BACKWARDS COMPATIBILITY] SBV is now more lenient in returning function-interpretations, returning the SMTLib string in complicated cases in case of bailing out. Note that we still don’t support complicated function values in allSat calls, as there’s no way to reject existing interpretations. Consequently, the parameter ‘satTrackUFs’ is renamed to ‘allSatTrackUFs’ to better capture its new role.

• Addressed an issue on Windows where solver synchronization fails due to unmapped diagnostic-challenge. (See issue #644 for details.) Thanks to Ryan Scott for reporting and helping with debugging.

• Add missing Arbitrary instances for WordN and IntN types, enabling quickcheck on these types.

• Rewrote some of the older examples to use more modern SBV idioms.

• Changes needed to compile with upcoming GHC 9.6. Thanks to Lars Kuhtz and Ryan Scott for several patches.

Version 9.2, 2023-1-16

• Handle uninterpreted sorts better, avoiding kind-registration issue. See #634 for details. Thanks to Nick Lewchenko for the report.

Version 9.1, 2023-01-09

• CVC5: Add support for algebraic reals in CVC5 models

• Export more solvers from Trans/Dynamic interfaces. Thanks to Ryan Scott for the patch.

Version 9.0, 2022-04-27

• Changes required to compile cleanly with GHC 9.2 series.

• In future versions, GHC will make forall a reserved word, which will create a conflict with SBV’s use of the same. To accommodate for these changes and to be consistent, following identifiers were renamed:

  • forall –> sbvForall
  • forall_ –> sbvForall_
  • exists –> sbvExists
  • exists_ –> sbvExists_
  • forAll –> universal
  • forAll_ –> universal_
  • forSome –> existential
  • forSome_ –> existential_

• Add support for reverse on symbolic lists and strings. Note that this definition uses a recursive function declaration in SMTLib, so any proof involving inductive reasoning will likely not-terminate. However, it should be usable at ground-level and for simpler non-inductive properties. Of course, as SMT-solvers mature this can change in the future.

• Changed the String/List versions of .++/.!! to directly use the names ++/!!. Since these modules are intended to be used qualified only, there’s no reason to add the dots.

• Added function addSMTDefinition, which allows users to give direct definitions of SMTLib functions. This is useful for defining recursive functions that are not symbolically terminating.

• Added Documentation.SBV.Examples.Lists.CountOutAndTransfer example, proving that the so-called coating card trick works correctly.

• Added Documentation.SBV.Examples.Puzzles.Jugs example, solving the water-jug transfer puzzle.

• Added Documentation.SBV.Examples.Puzzles.AOC_2021_24 example, showing how to model an EDSL in SBV, solving the advent-of-code, 2021, day 24 problem.

• Added Documentation.SBV.Examples.Puzzles.Drinker example, proving the famous Drinker paradox of Raymond Smullyan.

• Added concrete type instances of Mergeable class.

• Fixed a bug in the implementation of the concrete-path for sPopCount

• Added complement, power, and difference operators for regular expressions. Also added everything, nothing, anyChar as new recognizers.

• Fixed the semantics of All regular expressions to recognize all-strings, and added AllChar as a new regular-expression constructor to match any single regular expression. Thanks to Matt Torrence for the patch.

• Fixed a bug in the concrete implementation of bit-vector join, which didn’t handle signed quantities correctly. Thanks to Sirui Lu for the report and test cases.

Version 8.17, 2021-10-25

• SBV now supports cvc5; the latest incarnation of CVC. See https://github.com/cvc5/cvc5 for details.

• SBV now supports bitwuzla; the latest incarnation of Boolector. See https://bitwuzla.github.io for details.

• Fixed handling of CRational values in constant folding, which was missing a case. Thanks to Jaro Reinders for reporting.

• Fixed calls to distinct for floating-point values, causing SBV to throw an exception.

• Add missing instances of SatModel for Char and String. Thanks to eax- on github for the contribution.

• Add support for symbolic comparison of regular expressions.

• Export svToSV from Data.SBV.Dynamic. Thanks to Matt Parker for the PR.

Version 8.16, 2021-08-18

• Put extra annotations on data-type constructors, which makes SBV generate problems that z3 can parse more easily. Thanks to Greg Sullivan for reporting the issue in the first place.

Version 8.15, 2021-05-30

• Remove support for SFunArray abstraction. Turns out that the caching mechanisms SBV used for SFunArray weren’t entirely safe, and the code has become unmaintainable over-time. Instead you should simply use SArray, which has the exact same API. Thanks to frenchFrog42 on github for reporting some of the problems.

• Fix the cmd line params for invocations of Boolector. You need Boolector 3.2.2 to work with this version of SBV.

• NB. Recent releases of z3 no longer support optimization of real-valued goals in the presence of strict inequalities, i.e., .>, .<, and ./= operators. So, you might get a bogus result if you are using optimization with SReal parameters that have strict inequalities. See https://github.com/Z3Prover/z3/issues/5314 for details. There is not much SBV can do to prevent these, unfortunately, as z3 optimization engine goals seem to have changed. Note that use of non-strict inequalities (i.e., .>=, .<=) should be fine. Also, this only impacts the optimize calls: regular sat/prove invocations are not impacted.

Version 8.14, 2021-03-29

• Improve the fast all-sat algorithm to also support uninterpreted values.

• Generalize svTestBit to work on floats, returning the respecting bit in the representation of the float.

• Fixes to crack-num facility of how we display floats in detail.

Version 8.13, 2021-03-21

• Generalized floating point: Add support for brain-floats, with type SFPBFloat, which has 8-bits of exponent and 8-bits of significand. This format is affectionately called “brain-float” because it’s often used in modeling neural networks machine-learning applications, offering a wider-range than IEEE’s half-float, at the exponse of reduced precision. It has 8-exponent bits and 8-significand bits, including the hidden bit.

• Add support for SRational type, rational values built out of the ratio of two integers. Use the module “Data.SBV.Rational”, which exports the constructor .% to build rationals. Note that you cannot take numerator and denominator of rationals apart, since SMTLib has no way of storing the rational in a canonical way. Otherwise, symbolic rationals follow the same rules as Haskell’s Rational type.

• SBV now implements a faster allSat algorithm, which applies in most common use cases. (Essentially, when there are no uninterpreted values or sorts present.) The new algorithm has been measured to be at least an order of magnitude faster or more in common cases as it splits the search space into disjoint models, reducing the burden of accummulated lemmas over multiple calls. (See http://theory.stanford.edu/%7Enikolaj/programmingz3.html#sec-blocking-evaluations for details.)

Version 8.12, 2021-03-09

• Fix a bug in crackNum for unsigned-integer values, which incorrectly showed a negation sign for values with msb set to 1.

Version 8.11, 2021-03-09

• SBV now supports floating-point numbers with arbitrary exponent and significand sizes. The type is SFloatingPoint eb sb, where eb and sb are type-level naturals. In particular, SBV can now reason about half-floats, which are used much more frequently in ML applications. Through the LibBF binding, you can also use these concretely, so if you have a use case for computing with floats, you can use SBV as a vehicle for doing so. The exponent/significand sizes are limited to those supported by the LibBF bindings, though the allowed range is rather large and should not be a limitation in practice. (In particular, you’ll most likely run out of memory before you hit precision limits!)

• We now support a separate crackNum parameter in model display. If set to True (default is False), SBV will display numeric values of bounded integers, words, and all floats (SDouble, SFloat, and the new SFloatingPoint) in models in detail, showing how they are laid out in memory. Numbers follow the usual 2’s-complement notation if they are signed, bit-vectors if they are not signed, and the floats follow the usual IEEE754 binary layout rules. Similarly, there’s now a function crack :: SBV a -> String that does the same for non-model printing contexts.

• Changed the isNonModelVar config param to take a String (instead of Text). Simplifies programming.

• Changes to make SBV compile with GHC9.0. Thanks to Ryan Scott for the patch.

Version 8.10, 2021-02-13

• Add “Documentation/SBV/Examples/Misc/NestedArray.hs” to demonstrate how to model multi-dimensional arrays in SBV.

• Add “Documentation/SBV/Examples/Puzzles/Murder.hs” as another puzzle example.

• Performance updates: Thanks to Jeff Young, SBV now uses better underlying data structures, performing better for heavy use-case scenarios.

• SBV now tracks constants more closely in query mode, providing more support for constant arrays in a seamless way. (See #574 for details.)

• Pop-calls are now supported for Yices and Boolector. (#577)

• Changes required to make SBV work with latest version of z3 regarding String and Characters, which now allow for unicode characters. This required renaming of certain recognizers in ‘Data.SBV.Char’ to restrict them to the Latin1 subset. Otherwise, the changes should be transparent to the end user. Please report any issues you might run into when you use SChar and SString types.

Version 8.9, 2020-10-28

• Rename ‘sbvAvailableSolvers’ to ‘getAvailableSolvers’.

• Use SMTLib’s int2bv if supported by the backend solver. If not, we still do a manual translation. (CVC4 and z3 support it natively, Yices and MathSAT does not, for which we do the manual translation. ABC and dReal doesn’t support the coversion at all, since former doesn’t support integers and the latter doesn’t support bit-vectors.) Thanks to Martin Lundfall for the initial pull request.

• Add sym as a synonym for uninterpret. This allows us to write expressions of the form sat $ sym "a" - sym "b" .== (0::SInteger), without resorting to lambda expressions or having to explicitly be in the Symbolic monad.

• Added missing instances for overflow-checking arithmetic of arbitrary sized signed and unsigned bitvectors.

• In a sat (or allSat) call, also return the values of the uninterpreted values, along with all the explicitly named inputs. Strictly speaking, this is backwards-incompatible, but it the new behavior is consistent with how we handle uninterpreted values in general.

• Improve SMTLib logic-detection code to use generics.

Version 8.8, 2020-09-04

• Reworked uninterpreted sorts. Added new function mkUninterpretedSort to make declaration of completely uninterpreted sorts easier. In particular, we now automatically introduce the symbolic variant of the type (by prefixing the underlying type with S) so it becomes automatically available, both for uninterpreted sorts and enumerations. In the latter case, we also automatically introduce the value sX for each enumeration constant X, defined to be precisely literal X.

• Handle incremental mode table-declarations that depend on freshly declared variables. Thanks to Gergő Érdi for reporting.

• Fix a soundness bug in SFunArray caching. Thanks to Gergő Érdi for reporting. See https://github.com/LeventErkok/sbv/issues/541 for details.

• Add support for the dReal solver, and introduce the notion of delta-satisfiability, where you can now check properties to be satisfiable against delta-perturbations. See “Documentation.SBV.Examples.DeltaSat.DeltaSat” for a basic example.

• Add “extraArgs” parameter to SMTConfig to simplify passing extra command line arguments to the solver.

• Add a method

  sListArray :: (HasKind a, SymVal b) => b -> [(SBV a, SBV b)] -> array a b
  

  to the SymArray class, which allows for creation of arrays from lists of constant or symbolic lists of pairs. The first argument is the value to use for uninitialized entries. Note that the initializer must be a known constant, i.e., it cannot be symbolic. Latter elements of the list will overwrite the earlier ones, if there are repeated keys.

• Thanks to Jan Hrcek, a whole bunch of typos were fixed in the documentation and the source code. Much appreciated!

Version 8.7, 2020-06-30

• Add support for concurrent versions of solvers for query problems. Similar to satWithAny, proveWithAny etc., except when we have queries. Thanks to Jeffrey Young for the idea and the implementation.

• Add “Documentation.SBV.Examples.Misc.Newtypes”, demonstrating how to use newtypes over existing symbolic types as symbolic quantities themselves. Thanks to Curran McConnell for the example.

• Added new predicate sNotElem, negating sElem.

• Added new predicate distinctExcept. This is same as distinct except you can also provide an ignore list. The elements in the first list will be checked to be distinct from each other, or belong to the second list. This is good for writing constraints that either require a default value or if picked be different from each other for a set of variables. This sort of constraint can be coded in user space, but SBV generates efficient code instead of the obvious quadratic number of constraints.

• Add function ‘algRealToRational’ that can convert an algebraic-real to a Haskell rational. We get an either value: If the algebraic real is exact, then it returns a ‘Left’ value that represents the value precisely. Otherwise, it returns a ‘Right’ value, which is only an approximation. Note: Setting ‘printRealPrec’ in SMTConfig to a higher value will increase the precision at the cost of more computation by the SMT solver.

• Removed the ‘SMTValue’ class. It’s functionality was not really needed. If you ever used this class, removing it from your type signatures should fix the issue. (You might have to add SymVal constraint if you did not already have it.) Please get in touch if you used this class in some cunning way and you need its functionality back.

• Reworked SBVBenchSuite api, Phase 1 of BenchSuite completed.

• Add support for addAxiom command to work in the interactive mode. Thanks to Martin Lundfall for the feedback.

• Fixed proveWithAny and satWithAny functions so they properly kill the solvers that did not terminate first. Previously, they became zombies if they didn’t end up quickly. Thanks to Robert Dockins for the investigation and the fix.

• Fixed a bug where resetAssertions call was forgetting to restore the array and table contexts. Thanks to Martin Lundfall for reporting.

Version 8.6, 2020-02-08

• Fix typo in error message. Thanks to Oliver Charles for the patch.

• Fix parsing of sequence counter-examples to accommodate recent changes in z3.

• Add missing exports related to N-bit words. Thanks to Markus Barenhoff for the patch.

• Generalized code-generation functions to accept a function with an arbitrary return type, which was previously just unit. This allows for complicated code-generation scenarios where one code-gen run can produce input to the next.

• Scalability improvements for internal data structures. Thanks to Brian Huffman for the patch.

• Add interpolation support for Z3, following changes to that solver. Note that SBV now supports two different APIs for interpolation extraction, one for Z3 and the other for MathSAT. This is unfortunate, but necessary since interpolant extraction isn’t quite standardized amongst solvers and MathSAT and Z3 use sufficiently different calling mechanisms to warrant their own calls. See ‘Documentation.SBV.Examples.Queries.Interpolants’ for examples that illustrate both cases.

• Add a new argument to displayModels function to allow rearranging of the results in an ’allSatcall. Strictly speaking this is a backwards breaking change, but substitutingid` for the new argument gives you old functionality, so easy to work-around.

Version 8.5, 2019-10-16

• Changes to compile with GHC 8.8. Thanks to Oliver Charles for the patch.

• Minor fix to how kinds are shown for non-standard sizes.

• Thanks to Jeffrey Young, SBV now has a performance benchmark test-suite. The framework still new, but should help in the long run to make sure SBV performance doesn’t regress on its test-suite, and by extension in general usage.

Version 8.4, 2019-08-31

• SBV now supports arbitrary-size bit-vectors, i.e., SWord 17, SInt 9, SWord 128 etc. These work like any other bit-vector, using the DataKinds feature of GHC. Thanks to Ben Blaxill for the idea and the initial implementation. Note that SBV still supports the traditional fixed-size bit-vectors, SInt8, SWord16 etc. Support for these will not be removed; so existing programs will continue to work.

• To convert between arbitrary sized bit-vectors and the old style equivalents, use fromSized and toSized functions. The behavior is controlled with a closed type-family so you will get a (hopefully not too horrendous) type error message if you try to convert, say, a SInt16 to SInt 22; or vice versa.

• Added arbitrary-sized bit vector operations: extraction, extension, and joining; these use proxy arguments to determine precise size info, and are much better suited for type safety. Consequently, removed the Splittable class which provided similar operations but only on predefined types. There is a new class called ByteConverter to convert to-and-from bytes for suitable bit-vector sizes up to 512.

• Tuple construction functions are given new types to strengthen type checking. Previously the tuple argument was ignored, causing things to be marked as tuples when they actually cannot be. (NB. The system was always type-safe, it just didn’t produce helpful type-error messages before.)

• Model validator: In the presence of universally quantified variables, SBV used to refuse to validate given models. This is the right thing to do since we would have to validate the model for all possible values of all the universally quantified variables. Obviously this is not useful. Instead, SBV now simply assumes any universally quantified variable is zero during model validation. This severely limits the validation result, but it is better than nothing. (In the verbose mode, a message to this effect will be printed.)

• Model validator: SBV can now validate models returned from the backend solver for regular-expression match problems. We also constant fold matches against constant strings without calling the solver at all, less useful perhaps but more inline with the general SBV methodology.

• Add implementation of SHA-2 family of functions as an example algorithm. These are good for code-generation purposes as opposed to actual verification tasks as it is hard to state any properties of these algorithms. But the SBV generated code can be quite useful in other development and verification environments. See ‘Documentation.SBV.Examples.Crypto.SHA’ for details.

• Add ’cgShowU8UsingHex function, which controls if we print unsigned-8 bit values in code generation driver code in hex or not. Previously we were using decimal, but in crypto code hex is always better. Default is ‘False’ to keep backwards compatibility.

• Add sObserve from: SymWord a => String -> SBV a -> Symbolic () which comes in handy in symbolic contexts, especially with quick-check uses.

• Ramped up travis-appveyor build infrastructure. However, we no longer test on the CI, since build-times are prohibitively long and myriad issues cause instability. If you can help out regarding testing on CI, please reach out!

Version 8.3, 2019-06-08

• Increment base dependency to 4.11.

• Add support for Data.Set.hasSize.

• Add supportsFP to CVC4 capabilities list. (#469)

• Fix a glitch in allSat computations that incorrectly used values of internal variables in model construction.

• SBV now directly uses the new seq.nth function from z3 for sequence element access, instead of implementing it internally.

Version 8.2, 2019-04-07

• Fixed minor issue with getting observables in quantified contexts.

• Simplify data-type constructor usage and accessor formats. See http://github.com/Z3Prover/z3/issues/2135 for a discussion.

• Add support for model validation in optimization problems. Use the config parameter: optimizeValidateConstraints. Default: False. This feature nicely complements the validateModel option, which works for sat and prove calls. Note that when we validate the model for an optimization problem, we only make sure that the given result satisfies the constraints not that it is minimum (or maximum) such model. (And hence the new configuration variable.) Validating optimality is beyond the scope of SBV.

Version 8.1, 2019-03-09

• Added support for SEither and SMaybe types: symbolic sums and symbolic optional values. These can be accessed by importing Data.SBV.Either and Data.SBV.Maybe respectively. They translate to SMTLib’s data-type syntax, and thus require a solver capable of handling datatypes. (Currently z3 and cvc4 are the only solvers that do.) All the typical introduction and elimination functions are provided, and these types integrate with all other symbolic types. (So you can have a list of SMaybe of SEither values, or at any nesting level.) Thanks to Joel Burget for the initial implementation of this idea and his contributions.

• Added support for symbolic sets. The API closely follows that of Data.Set of Haskell, with some major differences: Symbolic sets can be co-finite. (That is, we can represent not only finite sets, but also sets whose complements are finite.) The distinction shows up in the complement operation, which is not supported in Haskell. All SBV sets can be complemented. On the flip side, SBV sets do not support a size operation (as they can be infinite), nor they can be converted to lists. See ‘Data.SBV.Set’ for the API documentation and “Documentation/SBV/Examples/Misc/SetAlgebra.hs” for an example that proves many familiar set properties.

• SBV models now contain values for uninterpreted functions. This was a long requested feature, but there was no previous support since SMTLib does not have a standard way of querying such values. We now support this for z3 and cvc4: Note that SBV tries its best to interpret the output from these solvers, but it may give up if the response is too complicated (or something I haven’t seen before!) due to non-standard format. Barring these details, the calls to sat now include function models, and you can also get them via getFunction in a query.

  For an example use case demonstrating how to use UF-models to synthesize a simple multiplier, see “Documentation/SBV/Examples/Uninterpreted/Multiply.hs”.

• SBV now comes with a model validator. In a ‘sat’, ‘prove’, or ‘allSat’ call, you can pass the configuration parameter ‘z3{validateModel = True}’ (or whichever solver you’re using), and z3 will attempt to validate the returned model from the solver. Note that validation only works if there are no uninterpreted kinds of functions, and also in quantifier-free problems only. Please report your experiences, as there’s room for improvement in validation, always!

• [BACKWARDS COMPATIBILITY] The allSat function is similarly modified to return uninterpreted-function models. There are a few technical restrictions, however: Only the values of uninterpreted functions without any uninterpreted arguments will participate in allSat computation. (For instance, uninterpret "f" :: SInteger -> SInteger is OK, but uninterpret "f" :: MyType -> SInteger is not, where MyType itself is uninterpreted.) The reason for this is again there is no SMTLib way of reflecting uninterpreted model values back into the solver. This restriction should not cause much trouble in practice, but do get in touch if it is a use-case for you.

• Added configuration option allSatPrintAlong. If set to True, calls to allSat will print their models as they are found. The default is False.

• Added configuration parameter satTrackUFs (defaulting to True) to control if SBV should try to extract models for uninterpreted functions. In theory, this should always be True, but for most practical problems we typically don’t care about the function values itself but that it exists. Set to ‘False’ if this is the case for your problem. Note that this setting is also respected in ‘allSat’ calls.

• Added function registerUISMTFunction, which can be used to directly register uninterpreted functions. This is typically not necessary as uses of UI-functions do register them automatically, but it can come in handy in certain scenarios where there are no constraints on a UI-function other than its existence.

• Added Data.SBV.Tools.WeakestPreconditions module, which provides a toy imperative language and an engine for checking partial and total correctness of imperative programs. It uses Dijkstra’s weakest preconditions methodology to establish correctness claims. Loop invariants are required and must be supplied by the user. For total correctness, user must also provide termination measure functions. However, if desired, these can be skipped (by passing ‘Nothing’), in which case partial correctness will be proven. Checking input parameters for no-change is supported via stability checks. For example use cases, see the Documentation.SBV.Examples.WeakestPreconditions directory.

• Added functions elem/notElem to Data.SBV.List.

• Added snoc (appending a single element at the end) to Data.SBV.List and Data.SBV.String.

• Rework the ‘Queriable’ class to allow projection/embedding pairs. Also added a new ‘Fresh’ class, which is more usable in simpler scenarios where the default projection/embedding definitions are suitable.

• Added strong-equality (.===) and inequality (./==) to the ‘EqSymbolic’ class. This method is equivalent to the usual (.==) and (./=) for all types except ‘SFloat’ and ‘SDouble’. For the floating types, it is object equality, that is ‘NaN .=== Nan’ and ‘0 ./== -0’. Use the regular equality for float/double’s as they follow the IEEE754 rules, but occasionally we need to express object equality in a polymorphic way. Essentially this method is the polymorphic equivalent of ‘fpIsEqualObject’ except it works on all types.

• Removed the redundant ‘SDivisible’ constraint on rotate-left and rotate-right operations.

• Added unnamed equivalents of ‘sBool’, ‘sWord8’ etc; with a following underscore, i.e., ‘sBool_’, ‘sWord8_’. The new functions are supported for all base types, chars, strings, lists, and tuples.

• SBV now supports implicit constraints in the query mode, which were previously only available before user queries started.

• Fixed a bug where hash-consing might reuse an expression even though the request might have been made at a different type. This is a rare case in SBV to happen due to types, but it was possible to exploit it in the Dynamic interface. Thanks to Brian Huffman for reporting and diagnosing the issue.

• Fixed a bug where SBV was reporting incorrect “elapsed” time values, which are printed when the ‘timing’ configuration parameter is specified.

• Documentation: Jan Path kindly fixed module headers of all the files to produce much better looking Haddock documents. Thanks Jan!

• Added barrel-rotations (sBarrelRotateLeft-Right, svBarrelRotateLeft-Right) which can produce better code for verification by bit-blasting the rotation amount. It accepts bit-vectors as arguments and an unsigned rotation quantity to keep things simple.

• Added new configuration option ‘allowQuantifiedQueries’, default is set to False. SBV normally doesn’t allow quantifiers in a query context, because there are issues surrounding ‘getValue’. However, Joel Burget pointed out this check is too strict for certain scenarios. So, as an escape hatch, you can define ‘allowQuantifiedQueries’ to be ‘True’ and SBV will bypass this check. Of course, if you do this, then you are on your own regarding calls to getValue with quantified parameters! See http://github.com/LeventErkok/sbv/issues/459 for details.

• [BACKWARDS COMPATIBILITY] Renamed the class IEEEFloatConvertable to IEEEFloatConvertible. (Typo in name!) Matt Peddie pointed out issues regarding conversion of out-of-bounds float and double values to integral types. Unfortunately SMTLib does not support these conversions, and we had issues in getting Haskell, SMTLib, and C to agree. Summary: These conversions are only guaranteed to work if they are done on numbers that lie within the representable range of the target type. Thanks to Matt Peddie for pointing out the out-of-bounds problem, his help in figuring out the issues.

• [BACKWARDS COMPATIBILITY] The ‘AllSat’ result now tracks if search has stopped because the solver returned ‘Unknown’. Previously this information was not displayed.

• [BACKWARDS COMPATIBILITY, Internal] Several constraints on internal classes (such as SymVal, EqSymbolic, OrdSymbolic) were reworked to reflect the dependencies better. Strictly speaking this is a backwards compatibility breaking change, but I doubt it’ll impact any user code; though you might have to add some extra constraints if you were writing sufficiently polymorphic SBV code. Yell if you find otherwise!

• [BACKWARDS COMPATIBILITY] SBV now allows user-given names to be duplicated. It will implicitly add a suffix to them to distinguish without complaining. (In previous versions, we would error out.) The reason for this change is that sometimes it’s nice to be able to simply give a prefix for a class of names and not worry about the actual name itself. (Note that this will cause issues if you use model-extraction-via-maps method if we ever make a name unique and store it under a different name, but that’s hardly ever used feature and arguably the right thing to do anyway.) Thanks to Joel Burget for suggesting the idea.

• [BACKWARDS COMPATIBILITY, Internal] SBV is now more strict in how user-queries are used, performing certain extra-checks that were not done before. (For instance, previously it was possible to mix prove-sat with a query call, which should not have been allowed.) If you have any code that breaks for this reason, you probably should’ve written it in some other way to start with. Please get in touch if that is the case.

• [BACKWARDS COMPATIBILITY] You need at least GHC 8.4.1 to compile SBV. If you’re stuck with an older version, let me know and we’ll see if we can create a custom version for you; though I’d much rather avoid this if at all possible.

• SBV now supports optimization of goals of SDouble and SFloat types. This is done using the lexicographic ordering on floats, and adds on the additional constraint that the resulting float is not a NaN. If you use this feature, then your float value will be minimized as the corresponding 32 (or 64 for doubles) bit word. Note that this methods supports infinities properly, and does not distinguish between -0 and +0.

• Optimization routines have been generalized to work over arbitrary metric-spaces, with user-definable mappings. The simplest instance we have added is optimization over booleans, by the obvious numeric mapping. Tuples are also supported with the usual lexicographic ordering. In addition, SBV can now optimize over user-defined enumerations. See “Documentation.SBV.Examples.Optimization.Enumerate” for an example.

• Improved the internal representation of constraints to address performance issues See http://github.com/LeventErkok/sbv/issues/460 for details. Thanks to Thanks Jeffrey Young for reporting.

Version 8.0, 2019-01-14

• This is a major release of SBV, with several BACKWARDS COMPATIBILITY breaking changes. Lots of reworking of the internals to modernize the SBV code base. A few external API changes happened as well, mainly in terms of renamed types/operators to reflect the current state of things. I expect most end user programs to carry over unchanged, perhaps needing a bunch of renames. See below for details.

• Transformer stack and SymbolicT: This major internal revamping was contributed by Brian Schroeder. Brian reworked the internals of SBV to allow for custom monad stacks. In particular, there is now a SymbolicT monad transformer, which generalizes the Symbolic monad over an arbitrary base type, allowing users to build SBV based symbolic execution engines on top of their own monad infrastructure.

  Brian took the pains to ensure existing users (or those who do not have their own monad stack), the transformer capabilities remain transparent. That is, your existing code should recompile as is, or perhaps with minor aesthetic changes. Please report if you find otherwise, or need help.

  See Documentation.SBV.Examples.Transformers.SymbolicEval for an example of how to use the transformer based code.

  Thanks to Brian Schroeder for this massive effort to modernize the SBV code-base!

• Support for tuples: Thanks to Joel Burget, SBV now supports tuple types (up-to 8-tuples), and allows mixing and matching of lists and tuples arbitrarily as symbolic values. For instance SBV [(Integer, String)] is a valid type as is SBV [(Integer, [(Char, (Float, String))])], with each component symbolically represented. Along with STuple for regular 2-tuples, there are new types for STupleN for N between 2 to 8, along with untuple destructor, and field accessors similar to lens: For instance p^._4 would project the 4th element of a tuple that has at least 4 fields. The mixing and matching of field types and nesting allows for very rich symbolic value representations. See Documentation.SBV.Examples.Misc.Tuple for an example.

• [BACKWARDS COMPATIBILITY] The Boolean class is removed, which used to abstract over logical connectives. Previously, this class handled ‘SBool’ and ‘Bool’, but the generality was hardly ever used and caused typing ambiguities. The new implementation simplifies boolean operators to simply operate on the SBool type. Also changed the operator names to fit with all the others by starting them with dots. A simple conversion guide:

  * Literal True : true    became   sTrue
  * Literal False: false   became   sFalse
  * Negation     : bNot    became   sNot
  * Conjunction  : &&&     became   .&&
  * Disjunction  : |||     became   .||
  * XOr          : <+>     became   .<+>
  * Nand         : ~&      became   .~&
  * Nor          : ~|      became   .~|
  * Implication  : ==>     became   .=>
  * Iff          : <=>     became   .<=>
  * Aggregate and: bAnd    became   sAnd
  * Aggregate or : bOr     became   sOr
  * Existential  : bAny    became   sAny
  * Universal    : bAll    became   sAll
  

• [BACKWARDS COMPATIBILITY, INTERNAL] Historically, SBV focused on bit-vectors and machine words, which meant lots of internal types were named suggestive of this heritage. With the addition of SInteger, SReal, SFloat, SDouble we have expanded this, but still remained focused on atomic types. But, thanks largely to Joel Burget, SBV now supports symbolic characters, strings, lists, and now tuples, and nested tuples/lists, which makes this word-oriented naming confusing. To reflect, we made the following internal renamings:

  * SymWord     became      SymVal
  * SW          became      SV
  * CW          became      CV
  * CWVal       became      CVal
  

  Along with these, many of the internal constructor/variable names also changed in a similar fashion.

  For most casual users, these changes should not require any changes. But if you were developing libraries on top of SBV, then you will have to adapt to the new schema. Please report if there are any gotchas we have forgotten about.

• [BACKWARDS COMPATIBILITY] When user queries are present, SBV now picks the logic “ALL” (as opposed to a suitable variant of bit-vectors as in the past versions). This can be overridden by the ‘setLogic’ command as usual of course. While the new choice breaks backwards compatibility, I expect the impact will be minimal, and the new behavior matches better with user expectations on how external queries are usually employed.

• [BACKWARDS COMPATIBILITY] Renamed the module Data.SBV.List.Bounded to Data.SBV.Tools.BoundedList.

• Introduced a Queriable class, which simplifies symbolic programming with composite user types. See Documentation.SBV.Examples.ProofTools directory for several use cases and examples.

• Added function observeIf, companion to observe. Allows observing of values if they satisfy a given predicate.

• Added function ensureSat, which makes sure the solver context is satisfiable when called in the query mode. If not, an error will be thrown. Simplifies programming when we expect a satisfiable result and want to bail out if otherwise.

• Added nil to Data.SBV.List. Added nil and uncons to Data.SBV.String. These were inadvertently left out previously.

• Add Data.SBV.Tools.BMC module, which provides a BMC (bounded-model checking engine) for traditional state transition systems. See Documentation.SBV.Examples.ProofTools.BMC for example uses.

• Add Data.SBV.Tools.Induction module, which provides an induction engine for traditional state transition systems. Also added several example use cases in the directory Documentation.SBV.Examples.ProofTools.

Version 7.13, 2018-12-16

• Generalize the types of bminimum and bmaximum by removing the Num constraint.

• Change the type of observe from: SymWord a => String -> SBV a -> Symbolic () to SymWord a => String -> SBV a -> SBV a. This allows for more concise observables, like this:

  prove $ \x -> observe "lhs" (x+x) .== observe "rhs" (2*x+1)
  Falsifiable. Counter-example:
    s0  = 0 :: Integer
    lhs = 0 :: Integer
    rhs = 1 :: Integer
  

• Add Data.SBV.Tools.Range module which defines ranges and rangesWith functions: They compute the satisfying contiguous ranges for predicates with a single variable. See Data.SBV.Tools.Range for examples.

• Add Data.SBV.Tools.BoundedFix module, which defines the operator bfix that can be used as a bounded fixed-point operator for use in bounded-model-checking like algorithms. See Data.SBV.Tools.BoundedFix for some example use cases.

• Fix list-element extraction code, which asserted too strong a constraint. See issue #421 for details. Thanks to Joel Burget for reporting.

• New bounded list functions: breverse, bsort, bfoldrM, bfoldlM, and bmapM. Contributed by Joel Burget.

• Add two new puzzle examples:

  • Documentation.SBV.Examples.Puzzles.LadyAndTigers
  • Documentation.SBV.Examples.Puzzles.Garden

Version 7.12, 2018-09-23

• Modifications to make SBV compile with GHC 8.6.1. (SBV should now compile fine with all versions of GHC since 8.0.1; and possibly earlier. Please report if you are using a version in this range and have issues.)

• Improve the BoundedMutex example to show a non-fair trace. See Documentation/SBV/Examples/Lists/BoundedMutex.hs.

• Improve Haddock documentation links throughout.

Version 7.11, 2018-09-20

• Add support for symbolic lists. (That is, arbitrary but fixed length symbolic lists of integers, floats, reals, etc. Nested lists are allowed as well.) This is building on top of Joel Burget’s initial work for supporting symbolic strings and sequences, as supported by Z3. Note that the list theory solvers are incomplete, so some queries might receive an unknown answer. See Documentation/SBV/Examples/Lists/Fibonacci.hs for an example, and the module Data.SBV.List for details.

• A new module Data.SBV.List.Bounded provides extra functions to manipulate lists with given concrete bounds. Note that SMT solvers cannot deal with recursive functions/inductive proofs in general, so the utilities in this file can come in handy when expressing bounded-model-checking style algorithms. See Documentation/SBV/Examples/Lists/BoundedMutex.hs for a simple mutex algorithm proof.

• Remove dependency on data-binary-ieee754 package; which is no longer supported.

Version 7.10, 2018-07-20

• [BACKWARDS COMPATIBILITY] ‘==’ and ‘/=’ now always throw an error instead of only throwing an error for non-concrete values. http://github.com/LeventErkok/sbv/issues/301

• [BACKWARDS COMPATIBILITY] Array declarations are reworked to take an initial value. The call ‘newArray’ now accepts an optional default value, which itself can be symbolic. If provided, the array will return the given value for all reads from uninitialized locations. If not given, then reads from unwritten locations produce uninterpreted constants. The behavior of ‘SFunArray’ and ‘SArray’ is exactly the same in this regard. Note that this is a backwards-compatibility breaking change, as you need to pass a ‘Nothing’ argument to ‘newArray’ to get the old behavior. (Solver note: If you use ‘SFunArray’, then defaults are fully supported by SBV since these are internally handled, concrete or symbolic. If you use ‘SArray’, which gets translated to SMTLib, then MathSAT and Z3 supports default values with both concrete and symbolic cases, CVC4 only supports if they are constants. Boolector and Yices don’t support default values at this point in time, and ABC doesn’t support arrays at all.)

• [BACKWARDS COMPATIBILITY] SMTException type has been renamed to SBVException. SBV now throws this exception in more cases to aid in building tools on top of SBV that might want to deal with exceptions in different ways. (Previously, we used to call ‘error’ instead.)

• [BACKWARDS COMPATIBILITY] Rename ‘assertSoft’ to ‘assertWithPenalty’, which better reflects the nature of this function. Also add extra checks to warn the user if optimization constraints are present in a regular sat/prove call.

• Implement softConstrain: Similar to ‘constrain’, except the solver is free to leave it unsatisfied (i.e., leave it false) if necessary to find a satisfying solution. Useful in modeling conditions that are “nice-to-have” but not “required.” Note that this is similar to ‘assertWithPenalty’, except it works in non-optimization contexts. See Documentation.SBV.Examples.Misc.SoftConstrain for a simple example.

• Add ‘CheckedArithmetic’ class, which provides bit-vector arithmetic operations that do automatic underflow/overflow checking. The operations follow their regular counter-parts, with an exclamation mark added at the end: +!, -!, *!, /!. There is also negateChecked, for the same function on unary negation. If you program using these functions, then you can call ‘safe’ on the resulting programs to make sure these operations never cause underflow and overflow conditions.

• Similar to above, add ‘sFromIntegralChecked’, providing overflow/underflow checks for cast operations.

• Add Documentation.SBV.Examples.BitPrecise.BrokenSearch module to show the use of overflow checking utilities, using the classic broken binary search example from http://ai.googleblog.com/2006/06/extra-extra-read-all-about-it-nearly.html

• Fix an issue where SBV was not sending array declarations to the SMT-solver if there were no explicit constraints. Thanks to Oliver Charles for reporting.

• Rework ‘SFunArray’ implementation, addressing performance issues. We now carefully memoize elements as we do the look-ups. This addresses several performance issues that came up; hopefully providing some relief. The function ‘mkSFunArray’ is also removed, which used to lift Haskell functions to such arrays, often used to implement initial values. Now, if a read is done on an unwritten element of ‘SFunArray’ we get an uninterpreted constant. This is inline with how ‘SArray’ works, and is consistent. The old ‘SFunArray’ implementation based on functions is no longer available, though it is easy to implement it in user-space if needed. Please get in contact if this proves to be an issue.

• Add ‘freshArray’ to allow for creation of existential fresh arrays in the query mode. This is similar to ‘newArray’ which works in the Symbolic mode, and is analogous to ‘freshVar’. Most users shouldn’t need this as ‘newArray’ calls should suffice. Only use if you need a brand new array after switching to query mode.

• SBV now rejects queries if universally quantified inputs are present. Previously these were allowed to go through, but in general skolemization makes the corresponding variables unusable in the query context. See http://github.com/LeventErkok/sbv/issues/407 for details. If you have an actual use case for such a feature, please get in touch. Thanks to Brian Schroeder for reporting this anomaly.

• Export ‘addSValOptGoal’ from ‘Data.SBV.Internals’, to help with ‘Metric’ class instantiations. Requested by Dan Rosen.

• Export ‘registerKind’ from ‘Data.SBV.Internals’, to help with custom array declarations. Thanks to Brian Schroeder for the patch.

• If an asynchronous exception is caught, SBV now throws it back without further processing. (For instance, if the backend solver gets killed. Previously we were turning these into synchronous errors.) Thanks to Oliver Charles for pointing out this corner case.

Version 7.9, 2018-06-15

• Add support for bit-vector arithmetic underflow/overflow detection. The new ‘ArithmeticOverflow’ class captures conditions under which addition, subtraction, multiplication, division, and negation can underflow/overflow for both signed and unsigned bit-vector values. The implementation is based on http://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/z3prefix.pdf, and can be used to detect overflow caused bugs in machine arithmetic. See Data.SBV.Tools.Overflow for details.

• Add ‘sFromIntegralO’, which is the overflow/underflow detecting variant of ‘sFromIntegral’. This function returns (along with the converted result), a pair of booleans showing whether the conversion underflowed or overflowed.

• Change the function ‘getUnknownReason’ to return a proper data-type (‘SMTReasonUnknown’) as opposed to a mere string. This is at the query level. Similarly, change Unknown result to return the same data-type at the sat/prove level.

• Interpolants: With Z3 4.8.0 release, Z3 folks have dropped support for producing interpolants. If you need interpolants, you will have to use the MathSAT backend now. Also, the MathSAT API is slightly different from how Z3 supported interpolants as well, which means your old code will need some modifications. See the example in Documentation.SBV.Examples.Queries.Interpolants for the new usage.

• Add ‘constrainWithAttribute’ call, which can be used to attach arbitrary attribute to a constraint. Main use case is in interpolant generation with MathSAT.

• C code generation: SBV now spits out linker flag -lm if needed. Thanks to Matt Peddie for reporting.

• Code reorg: Simplify constant mapping table, by properly accounting for negative-zero floats.

• Export ‘sexprToVal’ for the class SMTValue, which allows for custom definitions of value extractions. Thanks to Brian Schroeder for the patch.

• Export ‘Logic’ directly from Data.SBV. (Previously was from Control.)

• Fix a long standing issue (ever since we introduced queries) where ‘sAssert’ calls were run in the context of the final output boolean, which is simply the wrong thing to do.

Version 7.8, 2018-05-18

• Fix printing of min-bounds for signed 32/64 bit numbers in C code generation: These are tricky since C does not allow -min_value as a valid literal! Instead we use the macros provided in stdint.h. Thanks to Matt Peddie for reporting this corner case.

• Fix translation of the abs function in C code generation, making sure we use the correct variant. Thanks to Matt Peddie for reporting.

• Fix handling of tables and arrays in pushed-contexts. Previously, we used initializers to get table/array values stored properly. However, this trick does not work if we are in a pushed-context; since a pop can forget the corresponding assignments. SBV now handles this corner case properly, by using tracker assertions to keep track of what array values must be restored at each pop. Thanks to Martin Brain on the SMTLib mailing list for the suggestion. (See http://github.com/LeventErkok/sbv/issues/374 for details.)

• Fix corner case in ite branch equality with float/double arguments, where we were previously confusing +/-0 as equal to each other. Thanks to Matt Peddie for reporting.

• Add a call ‘cgOverwriteFiles’, which suppresses code-generation prompts for overwriting files and quiets the prompts during code generation. Thanks to Matt Peddie for the suggestion.

• Add support for uninterpreted function introductions in the query mode. Previously, this was only allowed before the query started, now we fully support uninterpreted functions in all modes.

• New example: Documentation/SBV/Examples/Puzzles/HexPuzzle.hs, showing how to code cover properties using SBV, using a form of bounded model checking.

Version 7.7, 2018-04-29

• Add support for Symbolic characters (‘SChar’) and strings (‘SString’.) Thanks to Joel Burget for the initial implementation.

  The ‘SChar’ type currently corresponds to the Latin-1 character set, and is thus a subset of the Haskell ‘Char’ type. This is due to the current limitations in SMT-solvers. However, there is a pending SMTLib proposal to support unicode, and SBV will track these changes to have full unicode support: For further details see: https://smt-lib.org/theories-UnicodeStrings.shtml

  The ‘SString’ type is the type of symbolic strings, consisting of characters from the Latin-1 character set currently, just like the planned ‘SChar’ improvements. Note that an ‘SString’ is not simply a list of ‘SChar’ values: It is a symbolic type of its own and is processed as a single item. Conversions from list of characters is possible (via the ‘implode’ function). In the other direction, one cannot generally ‘explode’ a string, since it may be of arbitrary length and thus we would not know what concrete list to map it to. This is a bit unlike Haskell, but the differences dissipate quickly in general, and the power of being able to deal with a string as a symbolic entity on its own opens up many verification possibilities.

  Note that currently only Z3 and CVC4 has support for this logic, and they do differ in some details. Various character/string operations are supported, including length, concatenation, regular-expression matching, substrig operations, recognizers, etc. If you use this logic, you are likely to find bugs in solvers themselves as support is rather new: Please report.

• If unsat-core extraction is enabled, SBV now returns the unsat-core directly with in a solver result. Thanks to Ara Adkins for the suggestion.

• Add ‘observe’. This function allows internal expressions to be given values, which will be part of the satisfying model or the counter-example upon model construction. Useful for tracking expected/returned values. Also works with quickCheck.

• Revamp Haddock documentation, hopefully easier to follow now.

• Slightly modify the generated-C headers by removing whitespace. This allows for certain “lint” rules to pass when SBV generated code is used in conjunction with a larger code base. Thanks to Greg Horn for the pull request.

• Improve implementation of ‘svExp’ to match that of ‘.^’, making it more defined when the exponent is constant. Thanks to Brian Huffman for the patch.

• Export the underlying polynomial representation for algorithmic reals from the Internals module for further user processing. Thanks to Jan Path for the patch.

Version 7.6, 2018-03-18

• GHC 8.4.1 compatibility: Work around compilation issues. SBV now compiles cleanly with GHC 8.4.1.

• Define and export sWordN, sWordN_, sIntN_, from the Dynamic interface, which simplifies creation of variables of arbitrary bit sizes. These are similar to sWord8, sInt8, etc.; except they create dynamic counterparts that can be of arbitrary bit size.

Version 7.5, 2018-01-13

• Remove obsolete references to tactics in a few haddock comments. Thanks to Matthew Pickering for reporting.

• Added logic Logic_NONE, to be used in cases where SBV should not try to set the logic. This is useful when there is no viable value to set, and the back-end solver doesn’t understand the SMT-Lib convention of using “ALL” as the logic name. (One example of this is the Yices solver.)

• SBV now returns SMTException (instead of just calling error) in case the backend solver responds with error message. The type SMTException can be caught by the user programs, and it includes many fields as an indication of what went wrong. (The command sent, what was expected, what was seen, etc.) Note that if this exception is ever caught, the backend solver is no longer alive: You should either just throw it, or perform proper clean-up on your user code as required to set up a new context. The provided show instance formats the exception nicely for display purposes. See http://github.com/LeventErkok/sbv/issues/335 for details and thanks to Brian Huffman for reporting.

• SIntegral class now has Integral as a super-class, which ensures the base-type it’s used at is Integral. This was already true for all instances, so we are just making it more explicit.

• Improve the implementation of .^ (exponentiation) to cover more cases, in particular signed exponents are now OK so long as they are concrete and positive, following Haskell convention.

• Removed the ‘FromBits’ class. Its functionality is now merged with the new ‘SFiniteBits’ class, see below.

• Introduce ‘SFiniteBits’ class, which only incorporates finite-words in it, i.e., SWord/SInt for 8-16-32-64. In particular it leaves out SInteger, SFloat, SDouble, and SReal. Important in recognizing bit-vectors of finite size, essentially. Here are the methods:

  class (SymWord a, Num a, Bits a) => SFiniteBits a where
      sFiniteBitSize      :: SBV a -> Int                     -- ^ Bit size
      lsb                 :: SBV a -> SBool                   -- ^ Least significant bit of a word, always stored at index 0.
      msb                 :: SBV a -> SBool                   -- ^ Most significant bit of a word, always stored at the last position.
      blastBE             :: SBV a -> [SBool]                 -- ^ Big-endian blasting of a word into its bits. Also see the 'FromBits' class.
      blastLE             :: SBV a -> [SBool]                 -- ^ Little-endian blasting of a word into its bits. Also see the 'FromBits' class.
      fromBitsBE          :: [SBool] -> SBV a                 -- ^ Reconstruct from given bits, given in little-endian
      fromBitsLE          :: [SBool] -> SBV a                 -- ^ Reconstruct from given bits, given in little-endian
      sTestBit            :: SBV a -> Int -> SBool            -- ^ Replacement for 'testBit', returning 'SBool' instead of 'Bool'
      sExtractBits        :: SBV a -> [Int] -> [SBool]        -- ^ Variant of 'sTestBit', where we want to extract multiple bit positions.
      sPopCount           :: SBV a -> SWord8                  -- ^ Variant of 'popCount', returning a symbolic value.
      setBitTo            :: SBV a -> Int -> SBool -> SBV a   -- ^ A combo of 'setBit' and 'clearBit', when the bit to be set is symbolic.
      fullAdder           :: SBV a -> SBV a -> (SBool, SBV a) -- ^ Full adder, returns carry-out from the addition. Only for unsigned quantities.
      fullMultiplier      :: SBV a -> SBV a -> (SBV a, SBV a) -- ^ Full multiplier, returns both high and low-order bits. Only for unsigned quantities.
      sCountLeadingZeros  :: SBV a -> SWord8                  -- ^ Count leading zeros in a word, big-endian interpretation
      sCountTrailingZeros :: SBV a -> SWord8                  -- ^ Count trailing zeros in a word, big-endian interpretation
  

  Note that the functions ‘sFiniteBitSize’, ‘sCountLeadingZeros’, and ‘sCountTrailingZeros’ are new. Others have existed in SBV before, we are just grouping them together now in this new class.

• Tightened certain signatures where SBV was too liberal, using the SFiniteBits class. New signatures are:

   sSignedShiftArithRight :: (SFiniteBits a, SIntegral b) => SBV a -> SBV b -> SBV a
   crc                    :: (SFiniteBits a, SFiniteBits b) => Int -> SBV a -> SBV b -> SBV b
   readSTree              :: (SFiniteBits i, SymWord e) => STree i e -> SBV i -> SBV e
   writeSTree             :: (SFiniteBits i, SymWord e) => STree i e -> SBV i -> SBV e -> STree i e
  

  Thanks to Thomas DuBuisson for reporting.

Version 7.4, 2017-11-03

• Export queryDebug from the Control module, allowing custom queries to print debugging messages with the verbose flag is set.

• Relax value-parsing to allow for non-standard output from solvers. For instance, MathSAT/Yices prints reals as integers when they do not have a fraction. We now support such cases, relaxing the standard slightly. Thanks to Geoffrey Ramseyer for reporting.

• Fix optimization routines when applied to signed-bitvector goals. Thanks to Anders Kaseorg for reporting. Since SMT-Lib does not distinguish between signed and unsigned bit-vectors, we have to be careful when expressing goals that are over signed values. See http://github.com/LeventErkok/sbv/issues/333 for details.

Version 7.3, 2017-09-06

• Query mode: Add support for arrays in query mode. Thanks to Brad Hardy for providing the use-case and debugging help.

• Query mode: Add support for tables. (As used by ‘select’ calls.)

Version 7.2, 2017-08-29

• Reworked implementation of shifts and rotates: When a signed quantity was being shifted right by more than its size, SBV used to return 0. Robert Dockins pointed out that the correct answer is actually -1 in such cases. The new implementation merges the dynamic and typed interfaces, and drops support for non-constant shifts of unbounded integers, which is not supported by SMTLib. Thanks to Robert for reporting the issue and identifying the root cause.

• Rework how quantifiers are handled: We now generate separate asserts for prefix-existentials. This allows for better (smaller) quantified code, while preserving semantics.

• Rework the interaction between quantifiers and optimization routines. Optimization routines now properly handle quantified formulas, so long as the quantified metric does not involve any universal quantification itself. Thanks to Matthew Danish for reporting the issue.

• Development/Infrastructure: Lots of work around the continuous integration for SBV. We now build/test on Linux/Mac/Windows on every commit. Thanks to Travis/Appveyor for providing free remote infrastructure. There are still gotchas and some reductions in tests due to host capacity issues. If you would like to be involved and improve the test suite, please get in touch!

Version 7.1, 2017-07-29

• Add support for ‘getInterpolant’ in Query mode.

• Support for SMT-results that can contain multi-line strings, which is rare but it does happen. Previously SBV incorrectly interpreted such responses to be erroneous.

• Many improvements to build infrastructure and code clean-up.

• Fix a bug in the implementation of svSetBit. Thanks to Robert Dockins for the report.

Version 7.0, 2017-07-19

• NB. SBV now requires GHC >= 8.0.1 to compile. If you are stuck with an older version of GHC, please get in contact.

• This is a major rewrite of the internals of SBV, and is a backwards compatibility breaking release. While we kept the top-level and most commonly used APIs the same (both types and semantics), much of the internals and advanced features have been rewritten to move SBV to a new model of execution: SBV no longer runs your program symbolically and calls the SMT solver afterwards. Instead, the interaction with the solver happens interleaved with the actual program execution. The motivation is to allow the end-users to send/receive arbitrary SMTLib commands to the solver, instead of the cooked-up recipes. SBV still provides all the recipes for its existing functionality, but users can now interact with the solver directly. See the module Data.SBV.Control for the main API, together with the new functions ‘runSMT’ and ‘runSMTWith’.

• The ‘Tactic’ based solver control (introduced in v6.0) is completely removed, and is replaced by the above described mechanism which gives the user a lot of flexibility instead. Use queries for anything that required a tactic before.

• The call ‘allSat’ has been reworked so it performs only one call to the underlying solver and repeatedly issues check-sat to get new assignments. This differs from the previous implementation where we spun off a new call to the executable for each successive model. While this is more efficient and much more preferable, it also means that the results are no longer lazily computed: If there is an infinite number of solutions (or a very large number), you can no longer merely do a ‘take’ on the result. While this is inconvenient, it fits better with our new methodology of query based interaction. Note that the old behavior can be modeled, if required, by the user; by explicitly interleaving the calls to ‘sat.’ Furthermore, we now provide a new configuration parameter named ‘allSatMaxModelCount’ which can be used to limit the number models we seek. The default is to get all models, however long that might take.

• The Bridge modules (Data.SBV.Bridge.Yices, Data.SBV.Bridge.Z3) etc. are all removed. The bridge functionality was hardly used, where different solvers were much easier to access using the with functions. (Such as proveWith, satWith etc.) This should result in no loss of functionality, except for occasional explicit mention of solvers in your code, if you were using bridge modules to start with.

• Optimization routines have been changed to take a priority as an argument, (i.e., Lexicographic, Independent, etc.). The old method of supplying the priority via tactics is no longer supported.

• Pareto-front extraction has been reworked, reflecting the changes in Z3 for this functionality. Since pareto-fronts can be infinite in number, the user is now allowed to specify a “limit” to stop the solver from querying ad infinitum. If the limit is not specified, then sbv will query till it exhausts all the pareto-fronts, or till it runs out of memory in case there is an infinite number of them.

• Extraction of unsat-cores has changed. To use this feature, we now use custom queries. See Data.SBV.Examples.Misc.UnsatCore for an example. Old style of unsat-core extraction is no longer supported.

• The ‘timing’ option of SMTConfig has been reworked. Since we now start the solver immediately, it is no longer sensible to distinguish between “SBV” time, “translation” time etc. Instead, we print one simple “Elapsed” time if requested. If you need a detailed timing analysis, use the new ‘transcript’ option to SMTConfig: It will produce a file with precise timing intervals for each command issued to help you figure out how long each step took.

• The following functions have been reworked, so they now also return the time-elapsed for each solver:

  satWithAll   :: Provable a => [SMTConfig] -> a -> IO [(Solver, NominalDiffTime, SatResult)]
  satWithAny   :: Provable a => [SMTConfig] -> a -> IO  (Solver, NominalDiffTime, SatResult)
  proveWithAll :: Provable a => [SMTConfig] -> a -> IO [(Solver, NominalDiffTime, ThmResult)]
  proveWithAny :: Provable a => [SMTConfig] -> a -> IO  (Solver, NominalDiffTime, ThmResult)
  

• Changed the way satWithAny and proveWithAny works. Previously, these two functions ran multiple solvers, and took the result of the first one to finish, killing all the others. In addition, they waited for the still-running solvers to finish cleaning-up, as sending a ‘ThreadKilled’ is usually not instantaneous. Furthermore, a solver might simply take its time! We now send the interrupt but do not wait for the process to actually terminate. In rare occasions this could create zombie processes if you use a solver that is not cooperating, but we have seen not insignificant speed-ups for regular usage due to ThreadKilled wait times being rather long.

• Configuration option useLogic is removed. If required, this should be done by a call to the new ‘setLogic’ function:

  setLogic QF_NRA
  

• Configuration option timeOut is removed. This was rarely used, and the solver support was rather sketchy. We now have a better mechanism in the query mode for timeouts, where it really matters. Please get in touch if you relied on this old mechanism. Correspondingly, the functions isTheorem, isSatisfiable, isTheoremWith and isSatisfiableWith had their time-out arguments removed and return types simplified.

• The function ‘isSatisfiableInCurrentPath’ is removed. Proper queries should be used for what this function tentatively attempted to provide. Please get in touch if you relied on this function and want to restructure your code to use proper queries.

• Configuration option ‘smtFile’ is removed. Instead use ‘transcript’ now, which provides a much more detailed output that is directly loadable to a solver and has an accurate account of precisely what SBV sent.

• Enumerations are now much easier to use symbolically, with the addition of the template-haskell splice mkSymbolicEnumeration. See Data/SBV/Examples/Misc/Enumerate.hs for an example.

• Thanks to Kanishka Azimi, our external test suite is now run by Tasty! Kanishka modernized the test suite, and reworked the infrastructure that was showing its age. Thanks!

• The function pConstrain and the Data.SBV.Tools.ExpectedValue are removed. Probabilistic constraints were rarely used, and if necessary can be implemented outside of SBV. If you were using this feature, please get in contact.

• SArray and SFunArray has been reworked, and they no longer take and initial value. Similarly resetArray has been removed, as it did not really do what it advertised. If an initial value is needed, it is best to code this explicitly in your model.

Version 6.1, 2017-05-26

• Add support for unsat-core extraction. To use this feature, use the namedConstraint function:

  namedConstraint :: String -> SBool -> Symbolic ()
  

  to associate a label to a constrain or a boolean term that can later be labeled by the backend solver as belonging to the unsat-core.

  Unsat-cores are not enabled by default since they can be expensive; to use:

  satWith z3{getUnsatCore=True} $ do ...
  

  In the programmatic API, the function:

  extractUnsatCore :: Modelable a => a -> Maybe [String]
  

  can be used to programmatically extract the unsat-core. Note that backend solvers will only include the named expressions in the unsat-core, i.e., any unnamed yet part-of-the-core-unsat expressions will be missing; as speculated in the SMT-Lib document itself.

  Currently, Z3, MathSAT, and CVC4 backends support unsat-cores.

  (Thanks to Rohit Ramesh for the suggestion leading to this feature.)

• Added function distinct, which returns true if all the elements of the given list are different. This function replaces the old allDifferent function, which is now removed. The difference is that distinct will produce much better code for SMT-Lib. If you used allDifferent before, simply replacing it with distinct should work.

• Add support for pseudo-boolean operations:

    pbAtMost           :: [SBool]        -> Int -> SBool
    pbAtLeast          :: [SBool]        -> Int -> SBool
    pbExactly          :: [SBool]        -> Int -> SBool
    pbLe               :: [(Int, SBool)] -> Int -> SBool
    pbGe               :: [(Int, SBool)] -> Int -> SBool
    pbEq               :: [(Int, SBool)] -> Int -> SBool
    pbMutexed          :: [SBool]               -> SBool
    pbStronglyMutexed  :: [SBool]               -> SBool
  

  These functions, while can be directly coded in SBV, produce better translations to SMTLib for more efficient solving of cardinality constraints. Currently, only Z3 supports pseudo-booleans directly. For all other solvers, SBV will translate these to equivalent terms that do not require special functions.

• The function getModel has been renamed to getAssignment. (The former name is now available as a query command.)

• Export SolverCapabilities from Data.SBV.Internals, in case users want access.

• Move code-generation facilities to Data.SBV.Tools.CodeGen, no longer exporting the relevant functions directly from Data.SBV. This could break existing code, but the fix should be as simple as import Data.SBV.Tools.CodeGen.

• Move the following two functions to Data.SBV.Internals:

   compileToSMTLib
   generateSMTBenchmarks
  

  If you use them, please import Data.SBV.Internals.

• Reorganized EqSymbolic and EqOrd classes to collect some of the similarly named function together. Users should see no impact due to this change.

Version 6.0, 2017-05-07

• This is a backwards compatibility breaking release, hence the major version bump from 5.15 to 6.0:

  • Most of existing code should work with no changes.
  • Old code relying on some features might require extra imports, since we no longer export some functionality directly from Data.SBV. This was done in order to reduce the number of exported items to avoid extra clutter.
  • Old optimization features are removed, as the new and much improved capabilities should be used instead.

• The next two bullets cover new features in SBV regarding optimization, based on the capabilities of the z3 SMT solver. With this release SBV gains the capability optimize objectives, and solve MaxSAT problems; by appropriately employing the corresponding capabilities in z3. A good review of these features as implemented by Z3, and thus what is available in SBV is given in this paper: http://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/nbjorner-scss2014.pdf

• SBV now allows for real or integral valued metrics. Goals can be lexicographically (default), independently, or pareto-front optimized. Currently, only the z3 backend supports optimization routines.

  Optimization can be done over bit-vector, real, and integer goals. The relevant functions are:

  - `minimize`: Minimize a given arithmetic goal
  - `maximize`: Minimize a given arithmetic goal
  

  For instance, a call of the form

   minimize "name-of-goal" $ x + 2*y
  

  Minimizes the arithmetic goal x+2*y, where x and y can be bit-vectors, reals, or integers. Such goals will be lexicographically optimized, i.e., in the order given. If there are multiple goals, then user can also ask for independent optimization results, or pareto-fronts.

  Once the objectives are given, a top level call to optimize (similar to prove and sat) performs the optimization.

• SBV now implements soft-asserts. A soft assertion is a hint to the SMT solver that we would like a particular condition to hold if possible. That is, if there is a solution satisfying it, then we would like it to hold. However, if the set of constraints is unsatisfiable, then a soft-assertion can be violated by incurring a user-given numeric penalty to satisfy the remaining constraints. The solver then tries to minimize the penalty, i.e., satisfy as many of the soft-asserts as possible such that the total penalty for those that are not satisfied is minimized.

  Note that assertSoft works well with optimization goals (minimize/maximize etc.), and are most useful when we are optimizing a metric and thus some of the constraints can be relaxed with a penalty to obtain a good solution.

• SBV no longer provides the old optimization routines, based on iterative and quantifier based methods. Those methods were rarely used, and are now superseded by the above mechanism. If the old code is needed, please contact for help: They can be resurrected in your own code if absolutely necessary.

• (NB. This feature is deprecated in 7.0, see above for its replacement.) SBV now implements tactics, which allow the user to navigate the proof process. This is an advanced feature that most users will have no need of, but can become handy when dealing with complicated problems. Users can, for instance, implement case-splitting in a proof to guide the underlying solver through. Here is the list of tactics implemented:

  - `CaseSplit`         : Case-split, with implicit coverage. Bool says whether we should be verbose.
  - `CheckCaseVacuity`  : Should the case-splits be checked for vacuity? (Default: True.)
  - `ParallelCase`      : Run case-splits in parallel. (Default: Sequential.)
  - `CheckConstrVacuity`: Should constraints be checked for vacuity? (Default: False.)
  - `StopAfter`         : Time-out given to solver, in seconds.
  - `CheckUsing`        : Invoke with check-sat-using command, instead of check-sat
  - `UseLogic`          : Use this logic, a custom one can be specified too
  - `UseSolver`         : Use this solver (z3, yices, etc.)
  - `OptimizePriority`  : Specify priority for optimization: Lexicographic (default), Independent, or Pareto.
  

• Name-space clean-up. The following modules are no longer automatically exported from Data.SBV:

  - `Data.SBV.Tools.ExpectedValue` (computing with expected values)
  - `Data.SBV.Tools.GenTest` (test case generation)
  - `Data.SBV.Tools.Polynomial` (polynomial arithmetic, CRCs etc.)
  - `Data.SBV.Tools.STree` (full symbolic binary trees)
  

  To use the functionality of these modules, users must now explicitly import the corresponding module. Not other changes should be needed other than the explicit import.

• Changed the signatures of:

    isSatisfiableInCurrentPath :: SBool -> Symbolic Bool
  svIsSatisfiableInCurrentPath :: SVal  -> Symbolic Bool
  

  to:

    isSatisfiableInCurrentPath :: SBool -> Symbolic (Maybe SatResult)
  svIsSatisfiableInCurrentPath :: SVal  -> Symbolic (Maybe SatResult)
  

  which returns the result in case of SAT. This is more useful than before. This is backwards-compatibility breaking, but is more useful. (Requested by Jared Ziegler.)

• Add instance Provable (Symbolic ()), which simply stands for returning true for proof/sat purposes. This allows for simpler coding, as constrain/minimize/maximize calls (which return unit) can now be directly sat/prove processed, without needing a final call to return at the end.

• Add type synonym Goal (for Symbolic ()), in order to simplify type signatures

• SBV now properly adds check-sat commands and other directives in debugging output.

• New examples:

  • Data.SBV.Examples.Optimization.LinearOpt: Simple linear-optimization example.
  • Data.SBV.Examples.Optimization.Production: Scheduling machines in a shop
  • Data.SBV.Examples.Optimization.VM: Scheduling virtual-machines in a data-center

Version 5.15, 2017-01-30

• Bump up dependency on CrackNum >= 1.9, to get access to hexadecimal floats.
• Improve time/tracking-print code. Thanks to Iavor Diatchki for the patch.

Version 5.14, 2017-01-12

• Bump up QuickCheck dependency to >= 2.9.2 to avoid the following quick-check bug http://github.com/nick8325/quickcheck/issues/113, which transitively impacted the quick-check as implemented by SBV.

• Generalize casts between integral-floats, using the rounding mode round-nearest-ties-to-even. Previously calls to sFromIntegral did not support conversion to floats since it needed a rounding mode. But it does make sense to support them with the default mode. If a different mode is needed, use the function ‘toSFloat’ as before, which takes an explicit rounding mode.

Version 5.13, 2016-10-29

• Fix broken links, thanks to Stephan Renatus for the patch.

• Code generation: Create directory path if it does not exist. Thanks to Robert Dockins for the patch.

• Generalize the type of sFromIntegral, dropping the Bits requirement. In turn, this allowed us to remove sIntegerToSReal, since sFromIntegral can be used instead.

• Add support for sRealToSInteger. (Essentially the floor function for SReal.)

• Several space-leaks fixed for better performance. Patch contributed by Robert Dockins.

• Improved Random instance for Rational. Thanks to Joe Leslie-Hurd for the idea.

Version 5.12, 2016-06-06

• Fix GHC8.0 compilation issues, and warning clean-up. Thanks to Adam Foltzer for the bulk of the work and Tom Sydney Kerckhove for the initial patch for 8.0 compatibility.

• Minor fix to printing models with floats when the base is 2/16, making sure the alignment is done properly accommodating for the crackNum output.

• Wait for external process to die on exception, to avoid spawning zombies. Thanks to Daniel Wagner for the patch.

• Fix hash-consed arrays: Previously we were caching based only on elements, which is not sufficient as you can have conflicts differing only on the address type, but same contents. Thanks to Brian Huffman for reporting and the corresponding patch.

Version 5.11, 2016-01-15

• Fix documentation issue; no functional changes

Version 5.10, 2016-01-14

• Documentation: Fix a bunch of dead http links. Thanks to Andres Sicard-Ramirez for reporting.

• Additions to the Dynamic API:

  • svSetBit : set a given bit
  • svBlastLE, svBlastBE : Bit-blast to big/little endian
  • svWordFromLE, svWordFromBE: Unblast from big/little endian
  • svAddConstant : Add a constant to an SVal
  • svIncrement, svDecrement : Add/subtract 1 from an SVal

Version 5.9, 2016-01-05

• Default definition for ‘symbolicMerge’, which allows types that are instances of ‘Generic’ to have an automatically derivable merge (i.e., ite) instance. Thanks to Christian Conkle for the patch.

• Add support for “non-model-vars,” where we can now tell SBV not to take into account certain variables from a model-building perspective. This comes handy in doing an allSat calls where there might be witness variables that we do not care the uniqueness for. See Data/SBV/Examples/Misc/Auxiliary.hs for an example, and the discussion in http://github.com/LeventErkok/sbv/issues/208 for motivation.

• Yices interface: If Reals are used, then pick the logic QF_UFLRA, instead of QF_AUFLIA. Unfortunately, logic selection remains tricky since the SMTLib story for logic selection is rather messy. Other solvers are not impacted by this change.

Version 5.8, 2016-01-01

• Fix some typos
• Add ‘svEnumFromThenTo’ to the Dynamic interface, allowing dynamic construction of [x, y .. z] and [x .. y] when the involved values are concrete.
• Add ‘svExp’ to the Dynamic interface, implementing exponentiation

Version 5.7, 2015-12-21

• Export HasKind(..) from the Dynamic interface. Thanks to Adam Foltzer for the patch.
• More careful handling of SMT-Lib reserved names.
• Update tested version of MathSAT to 5.3.9
• Generalize sShiftLeft/sShiftRight/sRotateLeft/sRotateRight to work with signed shift/rotate amounts, where negative values revert the direction. Similar generalizations are also done for the dynamic variants.

Version 5.6, 2015-12-06

• Minor changes to how we print models:

• Align by the type

• Always print the type (previously we were skipping for Bool)

• Rework how SBV properties are quick-checked; much more usable and robust

• Provide a function sbvQuickCheck, which is essentially the same as quickCheck, except it also returns a boolean. Useful for the programmable API. (The dynamic version is called svQuickCheck.)

• Several changes/additions in support of the sbvPlugin development:

• Data.SBV.Dynamic: Define/export svFloat/svDouble/sReal/sNumerator/sDenominator

• Data.SBV.Internals: Export constructors of Result, SMTModel, and the function showModel

• Simplify how Uninterpreted-types are internally represented.

Version 5.5, 2015-11-10

• This is essentially the same release as 5.4 below, except to allow SBV compile with GHC 7.8 series. Thanks to Adam Foltzer for the patch.

Version 5.4, 2015-11-09

• Add ‘sAssert’, which allows users to pepper their code with boolean conditions, much like the usual ASSERT calls. Note that the semantics of an ‘sAssert’ is that it is a NOOP, i.e., it simply returns its final argument. Use in coordination with ‘safe’ and ‘safeWith’, see below.

• Implement ‘safe’ and ‘safeWith’, which statically determine all calls to ‘sAssert’ being safe to execute. Any violations will be flagged.

• SBV->C: Translate ‘sAssert’ calls to dynamic checks in the generated C code. If this is not desired, use the ‘cgIgnoreSAssert’ function to turn it off.

• Add ‘isSafe’: Which converts a ‘SafeResult’ to a ‘Bool’, when we are only interested in a boolean result.

• Add Data/SBV/Examples/Misc/NoDiv0 to demonstrate the use of the ‘safe’ function.

Version 5.3, 2015-10-20

• Main point of this release to make SBV compile with GHC 7.8 again, to accommodate mainly for Cryptol. As Cryptol moves to GHC >= 7.10, we intend to remove the “compatibility” changes again. Thanks to Adam Foltzer for the patch.

• Minor mods to how bitvector equality/inequality are translated to SMTLib. No user visible impact.

Version 5.2, 2015-10-12

• Regression on 5.1: Fix a minor bug in base 2/16 printing where uninterpreted constants were not handled correctly.

Version 5.1, 2015-10-10

• fpMin, fpMax: If these functions receive +0/-0 as their two arguments, i.e., both zeros but alternating signs in any order, then SMTLib requires the output to be nondeterministically chosen. Previously, we fixed this result as +0 following the interpretation in Z3, but Z3 recently changed and now incorporates the nondeterministic output. SBV similarly changed to allow for non-determinism here.

• Change the types of the following Floating-point operations:

  * sFloatAsSWord32, sFloatAsSWord32, blastSFloat, blastSDouble
  

  These were previously coded as relations, since NaN values were not representable in the target domain uniquely. While it was OK, it was hard to use them. We now simply implement these as functions, and they are underspecified if the inputs are NaNs: In those cases, we simply get a symbolic output. The new types are:

  • sFloatAsSWord32 :: SFloat -> SWord32
  • sDoubleAsSWord64 :: SDouble -> SWord64
  • blastSFloat :: SFloat -> (SBool, [SBool], [SBool])
  • blastSDouble :: SDouble -> (SBool, [SBool], [SBool])

• MathSAT backend: Use the SMTLib interpretation of fp.min/fp.max by passing the “-theory.fp.minmax_zero_mode=4” argument explicitly.

• Fix a bug in hash-consing of floating-point constants, where we were confusing +0 and -0 since we were using them as keys into the map though they compare equal. We now explicitly keep track of the negative-zero status to make sure this confusion does not arise. Note that this bug only exhibited itself in rare occurrences of both constants being present in a benchmark; a true corner case. Note that @NaN@ values are also interesting in this context: Since NaN /= NaN, we never hash-cons floating point constants that have the value NaN. But that is actually OK; it is a bit wasteful in case you have a lot of NaN constants around, but there is no soundness issue: We just waste a little bit of space.

• Remove the functions allSatWithAny and allSatWithAll. These two variants do not make sense when run with multiple solvers, as they internally sequentialize the solutions due to the nature of allSat. Not really needed anyhow; so removed. The variants satWithAny/All and proveWithAny/All are still available.

• Export SMTLibVersion from the library, forgotten export needed by Cryptol. Thanks to Adam Foltzer for the patch.

• Slightly modify model-outputs so the variables are aligned vertically. (Only matters if we have model-variable names that are of differing length.)

• Move to Travis-CI “docker” based infrastructure for builds

• Enable local builds to use the Herbie plugin. Currently SBV does not have any expressions that can benefit from Herbie, but it is nice to have this support in general.

Version 5.0, 2015-09-22

• Note: This is a backwards-compatibility breaking release, see below for details.

• SBV now requires GHC 7.10.1 or newer to be compiled, taking advantage of newer features/bug-fixes in GHC. If you really need SBV to compile with older GHCs, please get in touch.

• SBV no longer supports SMTLib1. We now exclusively use SMTLib2 for communicating with backend solvers. Strictly speaking, this means some loss in functionality: Uninterpreted-function models that we supported via Yices-1 are no longer available. In practice this facility was not really used, and required a very old version of Yices that was no longer supported by SRI and has lacked in other features. So, in reality this change should hardly matter for end-users.

• Added function label, which is useful in emitting comments around expressions. It is essentially a no-op, but does generate a comment with the given text in the SMT-Lib and C output, for diagnostic purposes.

• Added sFromIntegral: Conversions from all integral types (SInteger, SWord/SInts) between each other. Similar to the fromIntegral function of Haskell. These generate simple casts when used in code-generation to C, and thus are very efficient.

• SBV no longer supports the functions sBranch/sAssert, as we realized these functions can cause soundness issues under certain conditions. While the triggering scenarios are not common use-cases for these functions, we are opting for safety, and thus removing support. See http://github.com/LeventErkok/sbv/issues/180 for details; and see below for the new function ‘isSatisfiableInCurrentPath’.

• A new function ‘isSatisfiableInCurrentPath’ is added, which checks for satisfiability during a symbolic simulation run. This function can be used as the basis of sBranch/sAssert like functionality if needed. The difference is that this is a much lower level call, and also exposes the fact that the result is in the ‘Symbolic’ monad (which avoids the soundness issue). Of course, the new type makes it less useful as it will not be a drop-in replacement for if-then-else like structure. Intended to be used by tools built on top of SBV, as opposed to end-users.

• SBV no longer implements the ‘SignCast’ class, as its functionality is replaced by the ‘sFromIntegral’ function. Programs using the functions ‘signCast’ and ‘unsignCast’ should simply replace both with calls to ‘sFromIntegral’. (Note that extra type-annotations might be necessary, similar to the uses of the ‘fromIntegral’ function in Haskell.)

• Backend solver related changes:

  • Yices: Upgraded to work with Yices release 2.4.1. Note that earlier versions of Yices are not supported.

  • Boolector: Upgraded to work with new Boolector release 2.0.7. Note that earlier versions of Boolector are not supported.

  • MathSAT: Upgraded to work with latest release 5.3.7. Note that earlier versions of MathSAT are not supported (due to a buffering issue in MathSAT itself.)

  • MathSAT: Enabled floating-point support in MathSAT.

• New examples:

  • Add Data.SBV.Examples.Puzzles.Birthday, which solves the Cheryl-Birthday problem that went viral in April 2015. Turns out really easy to solve for SMT, but the formalization of the problem is still interesting as an exercise in formal reasoning.

  • Add Data.SBV.Examples.Puzzles.SendMoreMoney, which solves the classic send + more = money problem. Really a trivial example, but included since it is pretty much the hello-world for basic constraint solving.

  • Add Data.SBV.Examples.Puzzles.Fish, which solves a typical logic puzzle; finding the unique solution to a set of assertions made about a bunch of people, their pets, beverage choices, etc. Not particularly interesting, but could be fun to play around with for modeling purposes.

  • Add Data.SBV.Examples.BitPrecise.MultMask, which demonstrates the use of the bitvector solver to an interesting bit-shuffling problem.

• Rework floating-point arithmetic, and add missing floating-point operations:

  • fpRem : remainder
  • fpRoundToIntegral: truncating round
  • fpMin : min
  • fpMax : max
  • fpIsEqualObject : FP equality as object (i.e., NaN equals NaN, +0 does not equal -0, etc.)

  This brings SBV up-to par with everything supported by the SMT-Lib FP theory.

• Add the IEEEFloatConvertable class, which provides conversions to/from Floats and other types. (i.e., value conversions from all other types to Floats and Doubles; and back.)

• Add SWord32/SWord64 to/from SFloat/SDouble conversions, as bit-pattern reinterpretation; using the IEEE754 interchange format. The functions are: sWord32AsSFloat, sWord64AsSDouble, sFloatAsSWord32, sDoubleAsSWord64. Note that the sWord32AsSFloat and sWord64ToSDouble are regular functions, but sFloatToSWord32 and sDoubleToSWord64 are “relations”, since NaN values are not uniquely convertible.

• Add ‘sExtractBits’, which takes a list of indices to extract bits from, essentially equivalent to ‘map sTestBit’.

• Rename a set of symbolic functions for consistency. Here are the old/new names:

  • sbvTestBit –> sTestBit
  • sbvPopCount –> sPopCount
  • sbvShiftLeft –> sShiftLeft
  • sbvShiftRight –> sShiftRight
  • sbvRotateLeft –> sRotateLeft
  • sbvRotateRight –> sRotateRight
  • sbvSignedShiftArithRight –> sSignedShiftArithRight

• Rename all FP recognizers to be in sync with FP operations. Here are the old/new names:

  • isNormalFP –> fpIsNormal
  • isSubnormalFP –> fpIsSubnormal
  • isZeroFP –> fpIsZero
  • isInfiniteFP –> fpIsInfinite
  • isNaNFP –> fpIsNaN
  • isNegativeFP –> fpIsNegative
  • isPositiveFP –> fpIsPositive
  • isNegativeZeroFP –> fpIsNegativeZero
  • isPositiveZeroFP –> fpIsPositiveZero
  • isPointFP –> fpIsPoint

• Lots of other work around floating-point, test cases, reorg, etc.

• Introduce shorter variants for rounding modes: sRNE, sRNA, sRTP, sRTN, sRTZ; aliases for sRoundNearestTiesToEven, sRoundNearestTiesToAway, sRoundTowardPositive, sRoundTowardNegative, and sRoundTowardZero; respectively.

Version 4.4, 2015-04-13

• Hook-up crackNum package; so counter-examples involving floats and doubles can be printed in detail when the printBase is chosen to be 2 or 16. (With base 10, we still get the simple output.)

  Prelude Data.SBV> satWith z3{printBase=2} $ \x -> x .== (2::SFloat)
  Satisfiable. Model:
    s0 = 2.0 :: Float
                    3  2          1         0
                    1 09876543 21098765432109876543210
                    S ---E8--- ----------F23----------
            Binary: 0 10000000 00000000000000000000000
               Hex: 4000 0000
         Precision: SP
              Sign: Positive
          Exponent: 1 (Stored: 128, Bias: 127)
             Value: +2.0 (NORMAL)
  

• Change how we print type info; for models instead of SType just print Type (i.e., for SWord8, instead print Word8) which makes more sense and is more consistent. This change should be mostly relevant as how we see the counter-example output.

• Fix long standing bug #75, where we now support arrays with Boolean source/targets. This is not a very commonly used case, but by letting the solver pick the logic, we now allow arrays to be uniformly supported.

Version 4.3, 2015-04-10

• Introduce Data.SBV.Dynamic, by Brian Huffman. This is mostly an internal reorg of the SBV codebase, and end-users should not be impacted by the changes. The introduction of the Dynamic SBV variant (i.e., one that does not mandate a phantom type as in SBV Word8 etc. allows library writers more flexibility as they deal with arbitrary bit-vector sizes. The main customer of these changes are the Cryptol language and the associated toolset, but other developers building on top of SBV can find it useful as well. NB: The “strongly-typed” aspect of SBV is still the main way end-users should interact with SBV, and nothing changed in that respect!

• Add symbolic variants of floating-point rounding-modes for convenience

• Rename toSReal to sIntegerToSReal, which captures the intent more clearly

• Code clean-up: remove mbMinBound/mbMaxBound thus allowing less calls to unliteral. Contributed by Brian Huffman.

• Introduce FP conversion functions:

  • Between SReal and SFloat/SDouble
    • fpToSReal
    • sRealToSFloat
    • sRealToSDouble
  • Between SWord32 and SFloat
    • sWord32ToSFloat
    • sFloatToSWord32
  • Between SWord64 and SDouble. (Relational, due to non-unique NaNs)
    • sWord64ToSDouble
  • sDoubleToSWord64
  • From float to sign/exponent/mantissa fields: (Relational, due to non-unique NaNs)
    • blastSFloat
    • blastSDouble

• Rework floating point classifiers. Remove isSNaN and isFPPoint (both renamed), and add the following new recognizers:

  • isNormalFP
  • isSubnormalFP
  • isZeroFP
  • isInfiniteFP
  • isNaNFP
  • isNegativeFP
  • isPositiveFP
  • isNegativeZeroFP
  • isPositiveZeroFP
  • isPointFP (corresponds to a real number, i.e., neither NaN nor infinity)

• Re-implement sbvTestBit, by Brian Huffman. This version is much faster at large word sizes, as it avoids the costly mask generation.

• Code changes to suppress warnings with GHC7.10. General clean-up.

Version 4.2, 2015-03-17

• Add exponentiation (.^). Thanks to Daniel Wagner for contributing the code!

• Better handling of SBV_$SOLVER_OPTIONS, in particular keeping track of proper quoting in environment variables. Thanks to Adam Foltzer for the patch!

• Silence some hlint/ghci warnings. Thanks to Trevor Elliott for the patch!

• Haddock documentation fixes, improvements, etc.

• Change ABC default option string to %blast; “&sweep -C 5000; &syn4; &cec -s -m -C 2000” which seems to give good results. Use SBV_ABC_OPTIONS environment variable (or via abc.rc file and a combination of SBV_ABC_OPTIONS) to experiment.

Version 4.1, 2015-03-06

• Add support for the ABC solver from Berkeley. Thanks to Adam Foltzer for the required infrastructure! See: https://github.com/berkeley-abc/abc And Alan Mishchenko for adding infrastructure to ABC to work with SBV.

• Upgrade the Boolector connection to use a SMT-Lib2 based interaction. NB. You need at least Boolector 2.0.6 installed!

• Tracking changes in the SMT-Lib floating-point theory. If you are using symbolic floating-point types (i.e., SFloat and SDouble), then you should upgrade to this version and also get a very latest (unstable) Z3 release. See https://smt-lib.org/theories-FloatingPoint.shtml for details.

• Introduce a new class, ‘RoundingFloat’, which supports floating-point operations with arbitrary rounding-modes. Note that Haskell only allows RoundNearestTiesToAway, but with SBV, we get all 5 IEEE754 rounding-modes and all the basic operations (‘fpAdd’, ‘fpMul’, ‘fpDiv’, etc.) with these modes.

• Allow Floating-Point RoundingMode to be symbolic as well

• Improve the example Data/SBV/Examples/Misc/Floating.hs to include rounding-mode based addition example.

• Changes required to make SBV compile with GHC 7.10; mostly around instance NFData declarations. Thanks to Iavor Diatchki for the patch.

• Export a few extra symbols from the Internals module (mainly for Cryptol usage.)

Version 4.0, 2015-01-22

This release mainly contains contributions from Brian Huffman, allowing end-users to define new symbolic types, such as Word4, that SBV does not natively support. When GHC gets type-level literals, we shall most likely incorporate arbitrary bit-sized vectors and ints using this mechanism, but in the interim, this release provides a means for the users to introduce individual instances.

• Modifications to support arbitrary bit-sized vectors; These changes have been contributed by Brian Huffman of Galois. Thanks Brian.
• A new example Data/SBV/Examples/Misc/Word4.hs showing how users can add new symbolic types.
• Support for rotate-left/rotate-right with variable rotation amounts. (From Brian Huffman.)

Version 3.5, 2015-01-15

This release is mainly adding support for enumerated types in Haskell being translated to their symbolic counterparts; instead of going completely uninterpreted.

• Keep track of data-type details for uninterpreted sorts.
• Rework the U2Bridge example to use enumerated types.
• The “Uninterpreted” name no longer makes sense with this change, so rework the relevant names to ensure proper internal naming.
• Add Data/SBV/Examples/Misc/Enumerate.hs as an example for demonstrating how enumerations are translated.
• Fix a long-standing bug in the implementation of select when translated as SMT-Lib tables. (Github issue #103.) Thanks to Brian Huffman for reporting.

Version 3.4, 2014-12-21

• This release is mainly addressing floating-point changes in SMT-Lib.

  • Track changes in the QF_FPA logic standard; new constants and alike. If you are using the floating-point logic, then you need a relatively new version of Z3 installed (4.3.3 or newer).

  • Add unary-negation as an explicit operator. Previously, we merely used the “0-x” semantics; but with floating point, this does not hold as 0-0 is 0, and is not -0! (Note that negative-zero is a valid floating point value, that is different than positive-zero; yet it compares equal to it. Sigh..)

  • Similarly, add abs as a native method; to make sure we map it to fp.abs for floating point values.

  • Test suite improvements

Version 3.3, 2014-12-05

• Implement ‘safe’ and ‘safeWith’, which statically determine all calls to ‘sAssert’ being safe to execute. This way, users can pepper their programs with liberal calls to ‘sAssert’ and check they are all safe in one go without further worry.

• Robustify the interface to external solvers, by making sure we catch cases where the external solver might exist but not be runnable (library dependency missing, for example). It is impossible to be absolutely foolproof, but we now catch a few more cases and fail gracefully.

Version 3.2, 2014-11-18

• Implement ‘sAssert’. This adds conditional symbolic simulation, by ensuring arbitrary boolean conditions hold during simulation; similar to ASSERT calls in other languages. Note that failures will be detected at symbolic-simulation time, i.e., each assert will generate a call to the external solver to ensure that the condition is never violated. If violation is possible the user will get an error, indicating the failure conditions.

• Also implement ‘sAssertCont’ which allows for a programmatic way to extract/display results for consumers of ‘sAssert’. While the latter simply calls ‘error’ in case of an assertion violation, the ‘sAssertCont’ variant takes a continuation which can be used to program how the results should be interpreted/displayed. (This is useful for libraries built on top of SBV.) Note that the type of the continuation is such that execution should still stop, i.e., once an assertion violation is detected, symbolic simulation will never continue.

• Rework/simplify the ‘Mergeable’ class to make sure ‘sBranch’ is sufficiently lazy in case of structural merges. The original implementation was only lazy at the Word instance, but not at lists/tuples etc. Thanks to Brian Huffman for reporting this bug.

• Add a few constant-folding optimizations for ‘sDiv’ and ‘sRem’

• Boolector: Modify output parser to conform to the new Boolector output format. This means that you need at least v2.0.0 of Boolector installed if you want to use that particular solver.

• Fix long-standing translation bug regarding boolean Ord class comparisons. (i.e., ‘False > True’ etc.) While Haskell allows for this, SMT-Lib does not; and hence we have to be careful in translating. Thanks to Brian Huffman for reporting.

• C code generation: Correctly translate square-root and fusedMA functions to C.

Version 3.1, 2014-07-12

NB: GHC 7.8.1 and 7.8.2 has a serious bug http://ghc.haskell.org/trac/ghc/ticket/9078 that causes SBV to crash under heavy/repeated calls. The bug is addressed in GHC 7.8.3; so upgrading to GHC 7.8.3 is essential for using SBV!

New features/bug-fixes in v3.1:

• Using multiple-SMT solvers in parallel:
  • Added functions that let the user run multiple solvers, using asynchronous threads. All results can be obtained (proveWithAll, proveWithAny, satWithAll), or SBV can return the fastest result (satWithAny, allSatWithAll, allSatWithAny). These functions are good for playing with multiple-solvers, especially on machines with multiple-cores.
  • Add function: sbvAvailableSolvers; which returns the list of solvers currently available, as installed on the machine we are running. (Not the list that SBV supports, but those that are actually available at run-time.) This function is useful with the multi-solve API.
• Implement sBranch:
  • sBranch is a variant of ‘ite’ that consults the external SMT solver to see if a given branch condition is satisfiable before evaluating it. This can make certain otherwise recursive and thus not-symbolically-terminating inputs amenable to symbolic simulation, if termination can be established this way. Needless to say, this problem is always decidable as far as SBV programs are concerned, but it does not mean the decision procedure is cheap! Use with care.
  • sBranchTimeOut config parameter can be used to curtail long runs when sBranch is used. Of course, if time-out happens, SBV will assume the branch is feasible, in which case symbolic-termination may come back to bite you.)
• New API:
  • Add predicate ‘isSNaN’ which allows testing ‘SFloat’/‘SDouble’ values for nan-ness. This is similar to the Prelude function ‘isNaN’, except the Prelude version requires a RealFrac instance, which unfortunately is not currently implementable for cases. (Requires trigonometric functions etc.) Thus, we provide ‘isSNaN’ separately (along with the already existing ‘isFPPoint’) to simplify reasoning with floating-point.
• Examples:
  • Add Data/SBV/Examples/Misc/SBranch.hs, to illustrate the use of sBranch.
• Bug fixes:
  • Fix pipe-blocking issue, which exhibited itself in the presence of large numbers of variables (> 10K or so). See github issue #86. Thanks to Philipp Meyer for the fine report.
• Misc:
  • Add missing SFloat/SDouble instances for SatModel class
  • Explicitly support KBool as a kind, separating it from KUnbounded False 1. Thanks to Brian Huffman for contributing the changes. This should have no user-visible impact, but comes in handy for internal reasons.

Version 3.0, 2014-02-16

• Support for floating-point numbers:
  • Preliminary support for IEEE-floating point arithmetic, introducing the types SFloat and SDouble. The support is still quite new, and Z3 is the only solver that currently features a solver for this logic. Likely to have bugs, both at the SBV level, and at the Z3 level; so any bug reports are welcome!
• New backend solvers:
  • SBV now supports MathSAT from Fondazione Bruno Kessler and DISI-University of Trento. See: http://mathsat.fbk.eu/
• Support all-sat calls in the presence of uninterpreted sorts:
  • Implement better support for allSat in the presence of uninterpreted sorts. Previously, SBV simply rejected running allSat queries in the presence of uninterpreted sorts, since it was not possible to generate a refuting model. The model returned by the SMT solver is simply not usable, since it names constants that is not visible in a subsequent run. Eric Seidel came up with the idea that we can actually compute equivalence classes based on a produced model, and assert the constraint that the new model should disallow the previously found equivalence classes instead. The idea seems to work well in practice, and there is also an example program demonstrating the functionality: Examples/Uninterpreted/UISortAllSat.hs
• Programmable model extraction improvements:
  • Add functions getModelDictionary and getModelDictionaries, which provide low-level access to models returned from SMT solvers. Former for sat and prove calls, latter for allSat calls. Together with the exported utils from the Data.SBV.Internals module, this should allow for expert users to dissect the models returned and do fancier programming on top of SBV.
  • Add getModelValue, getModelValues, getModelUninterpretedValue, and getModelUninterpretedValues; which further aid in model value extraction.
• Other:
  • Allow users to specify the SMT-Lib logic to use, if necessary. SBV will still pick the logic automatically, but users can now override that choice. Comes in handy when playing with custom logics.
• Bug fixes:
  • Address allsat-laziness issue (#78 in github issue tracker). Essentially, simplify how all-sat is called so we can avoid calling the solver for solutions that are not needed. Thanks to Eric Seidel for reporting.
• Examples:
  • Add Data/SBV/Examples/Misc/ModelExtract.hs as a simple example for programmable model extraction and usage.
  • Add Data/SBV/Examples/Misc/Floating.hs for some FP examples.
  • Use the AUFLIA logic in Examples.Existentials.Diophantine which helps z3 complete the proof quickly. (The BV logics take too long for this problem.)

Version 2.10, 2013-03-22

• Add support for the Boolector SMT solver
  • See: https://boolector.github.io
  • Use import Data.SBV.Bridge.Boolector to use Boolector from SBV
  • Boolector supports QF_BV (with an without arrays). In the last SMT-Lib competition it won both bit-vector categories. It is definitely worth trying it out for bitvector problems.
• Changes to the library:
  • Generalize types of allDifferent and allEqual to take arbitrary EqSymbolic values. (Previously was just over SBV values.)
  • Add inRange predicate, which checks if a value is bounded within two others.
  • Add sElem predicate, which checks for symbolic membership
  • Add fullAdder: Returns the carry-over as a separate boolean bit.
  • Add fullMultiplier: Returns both the lower and higher bits resulting from multiplication.
  • Use the SMT-Lib Bool sort to represent SBool, instead of bit-vectors of length 1. While this is an under-the-hood mechanism that should be user-transparent, it turns out that one can no longer write axioms that return booleans in a direct way due to this translation. This change makes it easier to write axioms that utilize booleans as there is now a 1-to-1 match. (Suggested by Thomas DuBuisson.)
• Solvers changes:
  • Z3: Update to the new parameter naming schema of Z3. This implies that you need to have a really recent version of Z3 installed, something in the Z3-4.3 series.
• Examples:
  • Add Examples/Uninterpreted/Shannon.hs: Demonstrating Shannon expansion, boolean derivatives, etc.
• Bug-fixes:
  • Gracefully handle the case if the backend-SMT solver does not put anything in stdout. (Reported by Thomas DuBuisson.)
  • Handle uninterpreted sort values, if they happen to be only created via function calls, as opposed to being inputs. (Reported by Thomas DuBuisson.)

Version 2.9, 2013-01-02

• Add support for the CVC4 SMT solver from Stanford: https://cvc4.github.io/ NB. Z3 remains the default solver for SBV. To use CVC4, use the *With variants of the interface (i.e., proveWith, satWith, ..) by passing cvc4 as the solver argument. (Similarly, use ‘yices’ as the argument for the *With functions for invoking yices.)

• Latest release of Yices calls the SMT-Lib based solver executable yices-smt. Updated the default value of the executable to have this name for ease of use.

• Add an extra boolean flag to compileToSMTLib and generateSMTBenchmarks functions to control if the translation should keep the query as is (for SAT cases), or negate it (for PROVE cases). Previously, this value was hard-coded to do the PROVE case only.

• Add bridge modules, to simplify use of different solvers. You can now say:

    import Data.SBV.Bridge.CVC4
    import Data.SBV.Bridge.Yices
    import Data.SBV.Bridge.Z3
  

  to pick the appropriate default solver. if you simply ‘import Data.SBV’, then you will get the default SMT solver, which is currently Z3. The value ‘defaultSMTSolver’ refers to z3 (currently), and ‘sbvCurrentSolver’ refers to the chosen solver as determined by the imported module. (The latter is useful for modifying options to the SMT solver in an solver-agnostic way.)

• Various improvements to Z3 model parsing routines.

Version 2.8, 2012-11-29

• Rename the SNum class to SIntegral, and make it index over regular types. This makes it much more useful, simplifying coding of polymorphic symbolic functions over integral types, which is the common case.
• Add the functions:
• sbvShiftLeft
• sbvShiftRight which can accommodate unsigned symbolic shift amounts. Note that one cannot use the Haskell shiftL/shiftR functions from the Bits class since they are hard-wired to take ‘Int’ values as the shift amounts only.
• Add a new function ‘sbvArithShiftRight’, which is the same as a shift-right, except it uses the MSB of the input as the bit to fill in (instead of always filling in with 0 bits). Note that this is the same as shiftRight for signed values, but differs from a shiftRight when the input is unsigned. (There is no Haskell analogue of this function, as Haskell shiftR is always arithmetic for signed types and logical for unsigned ones.) This variant is designed for use cases when one uses the underlying unsigned SMT-Lib representation to implement custom signed operations, for instance.
• Several typo fixes.

Version 2.7, 2012-10-21

• Add missing QuickCheck instance for SReal
• When dealing with concrete SReals, make sure to operate only on exact algebraic reals on the Haskell side, leaving true algebraic reals (i.e., those that are roots of polynomials that cannot be expressed as a rational) symbolic. This avoids issues with functions that we cannot implement directly on the Haskell side, like exact square-roots.
• Documentation tweaks, typo fixes etc.
• Rename BVDivisible class to SDivisible; since SInteger is also an instance of this class, and SDivisible is a more appropriate name to start with. Also add sQuot and sRem methods; along with sDivMod, sDiv, and sMod, with usual semantics.
• Improve test suite, adding many constant-folding tests and start using cabal based tests (–enable-tests option.)

Versions 2.4, 2.5, and 2.6: Around mid October 2012

• Workaround issues related hackage compilation, in particular to the problem with the new containers package release, which does provide an NFData instance for sequences.
• Add explicit Num requirements when necessary, as the Bits class no longer does this.
• Remove dependency on the hackage package strict-concurrency, as hackage can no longer compile it due to some dependency mismatch.
• Add forgotten Real class instance for the type ‘AlgReal’
• Stop putting bounds on hackage dependencies, as they cause more trouble then they actually help. (See the discussion here: http://www.haskell.org/pipermail/haskell-cafe/2012-July/102352.html.)

Version 2.3, 2012-07-20

• Maintenance release, no new features.
• Tweak cabal dependencies to avoid using packages that are newer than those that come with ghc-7.4.2. Apparently this is a no-no that breaks many things, see the discussion in this thread: http://www.haskell.org/pipermail/haskell-cafe/2012-July/102352.html In particular, the use of containers >= 0.5 is not OK until we have a version of GHC that comes with that version.

Version 2.2, 2012-07-17

• Maintenance release, no new features.
• Update cabal dependencies, in particular fix the regression with respect to latest version of the containers package.

Version 2.1, 2012-05-24

• Library:
  • Add support for uninterpreted sorts, together with user defined domain axioms. See Data.SBV.Examples.Uninterpreted.Sort and Data.SBV.Examples.Uninterpreted.Deduce for basic examples of this feature.
  • Add support for C code-generation with SReals. The user picks one of 3 possible C types for the SReal type: CgFloat, CgDouble or CgLongDouble, using the function cgSRealType. Naturally, the resulting C program will suffer a loss of precision, as it will be subject to IEE-754 rounding as implied by the underlying type.
  • Add toSReal :: SInteger -> SReal, which can be used to promote symbolic integers to reals. Comes handy in mixed integer/real computations.
• Examples:
  • Recast the dog-cat-mouse example to use the solver over reals.
  • Add Data.SBV.Examples.Uninterpreted.Sort, and Data.SBV.Examples.Uninterpreted.Deduce for illustrating uninterpreted sorts and axioms.

Version 2.0, 2012-05-10

This is a major release of SBV, adding support for symbolic algebraic reals: SReal. See http://en.wikipedia.org/wiki/Algebraic_number for details. In brief, algebraic reals are solutions to univariate polynomials with rational coefficients. The arithmetic on algebraic reals is precise, with no approximation errors. Note that algebraic reals are a proper subset of all reals, in particular transcendental numbers are not representable in this way. (For instance, “sqrt 2” is algebraic, but pi, e are not.) However, algebraic reals is a superset of rationals, so SBV now also supports symbolic rationals as well.

You should use Z3 v4.0 when working with real numbers. While the interface will work with older versions of Z3 (or other SMT solvers in general), it uses Z3 root-obj construct to retrieve and query algebraic reals.

While SReal values have infinite precision, printing such values is not trivial since we might need an infinite number of digits if the result happens to be irrational. The user controls printing precision, by specifying how many digits after the decimal point should be printed. The default number of decimal digits to print is 10. (See the ‘printRealPrec’ field of SMT-solver configuration.)

The acronym SBV used to stand for Symbolic Bit Vectors. However, SBV has grown beyond bit-vectors, especially with the addition of support for SInteger and SReal types and other code-generation utilities. Therefore, “SMT Based Verification” is now a better fit for the expansion of the acronym SBV.

Other notable changes in the library:

• Add functions s[TYPE] and s[TYPE]s for each symbolic type we support (i.e., sBool, sBools, sWord8, sWord8s, etc.), to create symbolic variables of the right kind. Strictly speaking these are just synonyms for ‘free’ and ‘mapM free’ (plural versions), so they are not adding any additional power. Except, they are specialized at their respective types, and might be easier to remember.
• Add function solve, which is merely a synonym for (return . bAnd), but it simplifies expressing problems.
• Add class SNum, which simplifies writing polymorphic code over symbolic values
• Increase haddock coverage metrics
• Major code refactoring around symbolic kinds
• SMTLib2: Emit “:produce-models” call before setting the logic, as required by the SMT-Lib2 standard. [Patch provided by arrowdodger on github, thanks!]

Bugs fixed:

• [Performance] Use a much simpler default definition for “select”: While the older version (based on binary search on the bits of the indexer) was correct, it created unnecessarily big expressions. Since SBV does not have a notion of concrete subwords, the binary-search trick was not bringing any advantage in any case. Instead, we now simply use a linear walk over the elements.

Examples:

• Change dog-cat-mouse example to use SInteger for the counts
• Add merge-sort example: Data.SBV.Examples.BitPrecise.MergeSort
• Add diophantine solver example: Data.SBV.Examples.Existentials.Diophantine

Version 1.4, 2012-05-10

• Interim release for test purposes

Version 1.3, 2012-02-25

• Workaround cabal/hackage issue, functionally the same as release 1.2 below

Version 1.2, 2012-02-25

Library:

• Add a hook so users can add custom script segments for SMT solvers. The new “solverTweaks” field in the SMTConfig data-type can be used for this purpose. The need for this came about due to the need to workaround a Z3 v3.2 issue detailed below: http://stackoverflow.com/questions/9426420/soundness-issue-with-integer-bv-mixed-benchmarks As a consequence, mixed Integer/BV problems can cause soundness issues in Z3 and does in SBV. Unfortunately, it is too severe for SBV to add the workaround option, as it slows down the solver as a side effect as well. Thus, we are making this optionally available if/when needed. (Note that the work-around should not be necessary with Z3 v3.3; which is not released yet.)
• Other minor clean-up

Version 1.1, 2012-02-14

Library:

• Rename bitValue to sbvTestBit
• Add sbvPopCount
• Add a custom implementation of ‘popCount’ for the Bits class instance of SBV (GHC >= 7.4.1 only)
• Add ‘sbvCheckSolverInstallation’, which can be used to check that the given solver is installed and good to go.
• Add ‘generateSMTBenchmarks’, simplifying the generation of SMTLib benchmarks for offline sharing.

Version 1.0, 2012-02-13

Library:

• Z3 is now the “default” SMT solver. Yices is still available, but has to be specifically selected. (Use satWith, allSatWith, proveWith, etc.)
• Better handling of the pConstrain probability threshold for test case generation and quickCheck purposes.
• Add ‘renderTest’, which accompanies ‘genTest’ to render test vectors as Haskell/C/Forte program segments.
• Add ‘expectedValue’ which can compute the expected value of a symbolic value under the given constraints. Useful for statistical analysis and probability computations.
• When saturating provable values, use forAll_ for proofs and forSome_ for sat/allSat. (Previously we were always using forAll_, which is not incorrect but less intuitive.)
• add function: extractModels :: SatModel a => AllSatResult -> [a] which simplifies accessing allSat results greatly.

Code-generation:

• add “cgGenerateMakefile” which allows the user to choose if SBV should generate a Makefile. (default: True)

Other

• Changes to make it compile with GHC 7.4.1.

Version 0.9.24, 2011-12-28

Library:

• Add “forSome,” analogous to “forAll.” (The name “exists” would’ve been better, but it’s already taken.) This is not as useful as one might think as forAll and forSome do not nest, as an inner application of one pushes its argument to a Predicate, making the outer one useless, but it is nonetheless useful by itself.
• Add a “Modelable” class, which simplifies model extraction.
• Add support for quick-check at the “Symbolic SBool” level. Previously SBV only allowed functions returning SBool to be quick-checked, which forced a certain style of coding. In particular with the addition of quantifiers, the new coding style mostly puts the top-level expressions in the Symbolic monad, which were not quick-checkable before. With new support, the quickCheck, prove, sat, and allSat commands are all interchangeable with obvious meanings.
• Add support for concrete test case generation, see the genTest function.
• Improve optimize routines and add support for iterative optimization.
• Add “constrain”, simplifying conjunctive constraints, especially useful for adding constraints at variable generation time via forall/exists. Note that the interpretation of such constraints is different for genTest and quickCheck functions, where constraints will be used for appropriately filtering acceptable test values in those two cases.
• Add “pConstrain”, which probabilistically adds constraints. This is useful for quickCheck and genTest functions for filtering acceptable test values. (Calls to pConstrain will be rejected for sat/prove calls.)
• Add “isVacuous” which can be used to check that the constraints added via constrain are satisfiable. This is useful to prevent vacuous passes, i.e., when a proof is not just passing because the constraints imposed are inconsistent. (Also added accompanying isVacuousWith.)
• Add “free” and “free_”, analogous to “forall/forall_” and “exists/exists_” The difference is that free behaves universally in a proof context, while it behaves existentially in a sat context. This allows us to express properties more succinctly, since the intended semantics is usually this way depending on the context. (i.e., in a proof, we want our variables universal, in a sat call existential.) Of course, exists/forall are still available when mixed quantifiers are needed, or when the user wants to be explicit about the quantifiers.

Examples

• Add Data/SBV/Examples/Puzzles/Coins.hs. (Shows the usage of “constrain”.)

Dependencies

• Bump up random package dependency to 1.0.1.1 (from 1.0.0.2)

Internal

• Major reorganization of files to and build infrastructure to decrease build times and better layout
• Get rid of custom Setup.hs, just use simple build. The extra work was not worth the complexity.

Version 0.9.23, 2011-12-05

Library:

• Add support for SInteger, the type of signed unbounded integer values. SBV can now prove theorems about unbounded numbers, following the semantics of Haskell Integer type. (Requires z3 to be used as the backend solver.)
• Add functions ‘optimize’, ‘maximize’, and ‘minimize’ that can be used to find optimal solutions to given constraints with respect to a given cost function.
• Add ‘cgUninterpret’, which simplifies code generation when we want to use an alternate definition in the target language (i.e., C). This is important for efficient code generation, when we want to take advantage of native libraries available in the target platform.

Other:

• Change getModel to return a tuple in the success case, where the first component is a boolean indicating whether the model is “potential.” This is used to indicate that the solver actually returned “unknown” for the problem and the model might therefore be bogus. Note that we did not need this before since we only supported bounded bit-vectors, which has a decidable theory. With the addition of unbounded Integers and quantifiers, the solvers can now return unknown. This should still be rare in practice, but can happen with the use of non-linear constructs. (i.e., multiplication of two variables.)

Version 0.9.22, 2011-11-13

The major change in this release is the support for quantifiers. The SBV library no longer assumes all variables are universals in a proof, (and correspondingly existential in a sat) call. Instead, the user marks free-variables appropriately using forall/exists functions, and the solver translates them accordingly. Note that this is a non-backwards compatible change in sat calls, as the semantics of formulas is essentially changing. While this is unfortunate, it is more uniform and simpler to understand in general.

This release also adds support for the Z3 solver, which is the main SMT-solver used for solving formulas involving quantifiers. More formally, we use the new AUFBV/ABV/UFBV logics when quantifiers are involved. Also, the communication with Z3 is now done via SMT-Lib2 format. Eventually the SMTLib1 connection will be severed.

The other main change is the support for C code generation with uninterpreted functions enabling users to interface with external C functions defined elsewhere. See below for details.

Other changes:

Code:

• Change getModel, so it returns an Either value to indicate something went wrong; instead of throwing an error
• Add support for computing CRCs directly (without needing polynomial division).

Code generation:

• Add “cgGenerateDriver” function, which can be used to turn on/off driver program generation. Default is to generate a driver. (Issue “cgGenerateDriver False” to skip the driver.) For a library, a driver will be generated if any of the constituent parts has a driver. Otherwise it will be skipped.
• Fix a bug in C code generation where “Not” over booleans were incorrectly getting translated due to need for masking.
• Add support for compilation with uninterpreted functions. Users can now specify the corresponding C code and SBV will simply call the “native” functions instead of generating it. This enables interfacing with other C programs. See the functions: cgAddPrototype, cgAddDecl, cgAddLDFlags

Examples:

• Add CRC polynomial generation example via existentials
• Add USB CRC code generation example, both via polynomials and using the internal CRC functionality

Version 0.9.21, 2011-08-05

Code generation:

• Allow for inclusion of user makefiles
• Allow for CCFLAGS to be set by the user
• Other minor clean-up

Version 0.9.20, 2011-06-05

Regression on 0.9.19; add missing file to cabal

Version 0.9.19, 2011-06-05

• Add SignCast class for conversion between signed/unsigned quantities for same-sized bit-vectors
• Add full-binary trees that can be indexed symbolically (STree). The advantage of this type is that the reads and writes take logarithmic time. Suitable for implementing faster symbolic look-up.
• Expose HasSignAndSize class through Data.SBV.Internals
• Many minor improvements, file re-orgs

Examples:

• Add sentence-counting example
• Add an implementation of RC4

Version 0.9.18, 2011-04-07

Code:

• Re-engineer code-generation, and compilation to C. In particular, allow arrays of inputs to be specified, both as function arguments and output reference values.
• Add support for generation of generation of C-libraries, allowing code generation for a set of functions that work together.

Examples:

• Update code-generation examples to use the new API.
• Include a library-generation example for doing 128-bit AES encryption

Version 0.9.17, 2011-03-29

Code:

• Simplify and reorganize the test suite

Examples:

• Improve AES decryption example, by using table-lookups in InvMixColumns.

Version 0.9.16, 2011-03-28

Code:

• Further optimizations on Bits instance of SBV

Examples:

• Add AES algorithm as an example, showing how encryption algorithms are particularly suitable for use with the code-generator

Version 0.9.15, 2011-03-24

Bug fixes:

• Fix rotateL/rotateR instances on concrete words. Previous versions was bogus since it relied on the Integer instance, which does the wrong thing after normalization.
• Fix conversion of signed numbers from bits, previous version did not handle twos complement layout correctly

Testing:

• Add a sleuth of concrete test cases on arithmetic to catch bugs. (There are many of them, ~30K, but they run quickly.)

Version 0.9.14, 2011-03-19

• Re-implement sharing using Stable names, inspired by the Data.Reify techniques. This avoids tricks with unsafe memory stashing, and hence is safe. Thus, issues with respect to CAFs are now resolved.

Version 0.9.13, 2011-03-16

Bug fixes:

• Make sure SBool short-cut evaluations are done as early as possible, as these help with coding recursion-depth based algorithms, when dealing with symbolic termination issues.

Examples:

• Add fibonacci code-generation example, original code by Lee Pike.
• Add a GCD code-generation/verification example

Version 0.9.12, 2011-03-10

New features:

• Add support for compilation to C
• Add a mechanism for offline saving of SMT-Lib files

Bug fixes:

• Output naming bug, reported by Josef Svenningsson
• Specification bug in Legatos multiplier example

Version 0.9.11, 2011-02-16

• Make ghc-7.0 happy, minor re-org on the cabal file/Setup.hs

Version 0.9.10, 2011-02-15

• Integrate commits from Iavor: Generalize SBVs to keep track the integer directly without resorting to different leaf types
• Remove the unnecessary CLC instruction from the Legato example
• More tests

Version 0.9.9, 2011-01-23

• Support for user-defined SMT-Lib axioms to be specified for uninterpreted constants/functions
• Move to using doctest style inline tests

Version 0.9.8, 2011-01-22

• Better support for uninterpreted-functions
• Support counter-examples with SArrays
• Ladner-Fischer scheme example
• Documentation updates

Version 0.9.7, 2011-01-18

• First stable public hackage release

Versions 0.0.0 - 0.9.6, Mid 2010 through early 2011

• Basic infrastructure, design exploration