Hackage:
GitHub:
Latest Hackage released version: 2.7
======================================================================
Version 2.7, 2012-10-21
- Add missing QuickCheck instance for SReal
- When dealing with concrete SReal's, 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
- Maintanence 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
- Maintanence 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's
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 aren't 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
detalied 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's too severe for SBV to add the woraround
option, as it slows down the solver as a side effect as well. Thus, we're
making this optionally available if/when needed. (Note that the work-around
should not be necessary with Z3 v3.3; which isn't 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 allways 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's 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 satisfable. 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's 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 Integer's 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's 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'll 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, and 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
Code:
* 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 two's
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
- Reimplement 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 Legato's multipler 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 SBV's 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 SArray's
* 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