Z3 is a theorem prover from Microsoft Research. It is licensed under the MIT license.
If you are not familiar with Z3, you can start here.
Pre-built binaries for stable and nightly releases are available from here.
Z3 can be built using Visual Studio, a Makefile or using CMake. It provides bindings for several programming languages.
See the release notes for notes on various stable releases of Z3.
Azure Pipelines | TravisCI |
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32-bit builds, start with:
python scripts/mk_make.py
or instead, for a 64-bit build:
python scripts/mk_make.py -x
then:
cd build
nmake
Execute:
python scripts/mk_make.py
cd build
make
sudo make install
Note by default g++
is used as the C++ compiler if it is available. If you
would prefer to use Clang change the mk_make.py
invocation to:
CXX=clang++ CC=clang python scripts/mk_make.py
Note that Clang < 3.7 does not support OpenMP.
You can also build Z3 for Windows using Cygwin and the Mingw-w64 cross-compiler. To configure that case correctly, make sure to use Cygwin's own python and not some Windows installation of Python.
For a 64 bit build (from Cygwin64), configure Z3's sources with
CXX=x86_64-w64-mingw32-g++ CC=x86_64-w64-mingw32-gcc AR=x86_64-w64-mingw32-ar python scripts/mk_make.py
A 32 bit build should work similarly (but is untested); the same is true for 32/64 bit builds from within Cygwin32.
By default, it will install z3 executable at PREFIX/bin
, libraries at
PREFIX/lib
, and include files at PREFIX/include
, where PREFIX
installation prefix if inferred by the mk_make.py
script. It is usually
/usr
for most Linux distros, and /usr/local
for FreeBSD and macOS. Use
the --prefix=
command line option to change the install prefix. For example:
python scripts/mk_make.py --prefix=/home/leo
cd build
make
make install
To uninstall Z3, use
sudo make uninstall
To clean Z3 you can delete the build directory and run the mk_make.py
script again.
Z3 has a build system using CMake. Read the README-CMake.md file for details. It is recommended for most build tasks, except for building OCaml bindings.
Z3 itself has few dependencies. It uses C++ runtime libraries, including pthreads for multi-threading. It is optionally possible to use GMP for multi-precision integers, but Z3 contains its own self-contained multi-precision functionality. Python is required to build Z3. To build Java, .Net, OCaml, Julia APIs requires installing relevant tool chains.
Z3 has bindings for various programming languages.
You can install a nuget package for the latest release Z3 from nuget.org.
Use the --dotnet
command line flag with mk_make.py
to enable building these.
See examples/dotnet
for examples.
These are always enabled.
See examples/c
for examples.