Building cvc5 ------------- .. code:: bash ./configure.sh # use --prefix to specify an install prefix (default: /usr/local) # use --name= for custom build directory # use --auto-download to download and build missing, required or # enabled, dependencies cd # default is ./build make # use -jN for parallel build with N threads make check # to run default set of tests make install # to install into the prefix specified above All binaries are built into ``/bin``, the cvc5 library is built into ``/lib``. Supported Operating Systems --------------------------- cvc5 can be built natively on Linux and macOS, cross-compilation is possible for Windows using Mingw-w64. cvc5 also supports cross-compilation for ARM64 systems. We generally recommend a 64-bit operating system. Compilation on macOS ^^^^^^^^^^^^^^^^^^^^ On macOS, we recommend using `Homebrew `_ to install the dependencies. We also have a Homebrew Tap available at https://github.com/CVC4/homebrew-cvc4 . Note that linking system libraries statically is `strongly discouraged `_ on macOS. Using ``./configure.sh --static`` will thus produce a binary that uses static versions of all our dependencies, but is still a dynamically linked binary. Cross-compiling for Windows ^^^^^^^^^^^^^^^^^^^^^^^^^^^ Cross-compiling cvc5 with Mingw-w64 can be done as follows: .. code:: bash ./configure.sh --win64 --static cd # default is ./build make # use -jN for parallel build with N threads The built binary ``cvc5.exe`` is located in ``/bin`` and the cvc5 library can be found in ``/lib``. Build dependencies ------------------ cvc5 makes uses of a number of tools and libraries. Some of these are required while others are only used with certain configuration options. If ``--auto-download`` is given, cvc5 can automatically download and build most libraries that are not already installed on your system. If your libraries are installed in a non-standard location, you can use ``--dep-path`` to define an additional search path for all dependencies. Versions given are minimum versions; more recent versions should be compatible. - `GNU C and C++ (gcc and g++, >= 7) `_ or `Clang (>= 5) `_ - `CMake >= 3.9 `_ - `Python >= 3.6 `_ + module `toml `_ - `GMP v6.1 (GNU Multi-Precision arithmetic library) `_ - `ANTLR 3.4 `_ - `CaDiCaL (SAT solver) `_ - `Java >= 1.6 `_ - `SymFPU `_ ANTLR 3.4 parser generator ^^^^^^^^^^^^^^^^^^^^^^^^^^ For most systems, the package manager no longer contains pre-packaged versions of ANTLR 3.4. With ``--auto-download``, cvc5 will automatically download and build ANTLR 3.4. CaDiCaL (SAT solver) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `CaDiCaL `_ is a SAT solver that can be used for the bit-vector solver. It can be downloaded and built automatically. GMP (GNU Multi-Precision arithmetic library) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ GMP is usually available on your distribution and should be used from there. If it is not, or you want to cross-compile, or you want to build cvc5 statically but the distribution does not ship static libraries, cvc5 builds GMP automatically when ``--auto-download`` is given. SymFPU (Support for the Theory of Floating Point Numbers) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `SymFPU `_ is an implementation of SMT-LIB/IEEE-754 floating-point operations in terms of bit-vector operations. It is required for supporting the theory of floating-point numbers and can be downloaded and built automatically. Optional Dependencies --------------------- CryptoMiniSat (Optional SAT solver) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `CryptoMinisat `_ is a SAT solver that can be used for solving bit-vector problems with eager bit-blasting. This dependency may improve performance. It can be downloaded and built automatically. Configure cvc5 with ``configure.sh --cryptominisat`` to build with this dependency. Kissat (Optional SAT solver) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `Kissat `_ is a SAT solver that can be used for solving bit-vector problems with eager bit-blasting. This dependency may improve performance. It can be downloaded and built automatically. Configure cvc5 with ``configure.sh --kissat`` to build with this dependency. LibPoly (Optional polynomial library) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `LibPoly `_ is required for CAD-based nonlinear reasoning. It can be downloaded and built automatically. Configure cvc5 with ``configure.sh --poly`` to build with this dependency. CLN >= v1.3 (Class Library for Numbers) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `CLN `_ is an alternative multiprecision arithmetic package that may offer better performance and memory footprint than GMP. Configure cvc5 with ``configure.sh --cln`` to build with this dependency. Note that CLN is covered by the `GNU General Public License, version 3 `_. If you choose to use cvc5 with CLN support, you are licensing cvc5 under that same license. (Usually cvc5's license is more permissive than GPL, see the file `COPYING` in the cvc5 source distribution for details.) glpk-cut-log (A fork of the GNU Linear Programming Kit) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `glpk-cut-log `_ is a fork of `GLPK `_ (the GNU Linear Programming Kit). This can be used to speed up certain classes of problems for the arithmetic implementation in cvc5. (This is not recommended for most users.) glpk-cut-log can be installed using the ``contrib/get-glpk-cut-log`` script. Note that the only installation option is manual installation via this script. cvc5 is no longer compatible with the main GLPK library. Configure cvc5 with ``configure.sh --glpk`` to build with this dependency. Note that GLPK and glpk-cut-log are covered by the `GNU General Public License, version 3 `_. If you choose to use cvc5 with GLPK support, you are licensing cvc5 under that same license. (Usually cvc5's license is more permissive; see above discussion.) Editline library (Improved Interactive Experience) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The `Editline Library `_ library is optionally used to provide command editing, tab completion, and history functionality at the cvc5 prompt (when running in interactive mode). Check your distribution for a package named "libedit-dev" or "libedit-devel" or similar. Google Test Unit Testing Framework (Unit Tests) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ `Google Test `_ is required to optionally run cvc5's unit tests (included with the distribution). See :ref:`Testing cvc5 ` below for more details. Language bindings ----------------- cvc5 provides a complete and flexible C++ API (see ``examples/api`` for examples). It further provides Java (see ``examples/SimpleVC.java`` and ``examples/api/java``) and Python (see ``examples/api/python``) API bindings. Configure cvc5 with ``configure.sh ---bindings`` to build with language bindings for ````. Dependencies for Language Bindings ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - Python - `Cython `_ - `scikit-build `_ - `pytest `_ If you're interested in helping to develop, maintain, and test a language binding, please contact the cvc5 team via `our issue tracker `_. Building the API Documentation ------------------------------ Building the API documentation of cvc5 requires the following dependencies: - `Doxygen `_ - `Sphinx `_, `sphinx-rtd-theme `_, `sphinx-tabs `_, `sphinxcontrib-bibtex `_, `sphinxcontrib-programoutput `_ - `Breathe `_ To build the documentation, configure cvc5 with ``./configure.sh --docs`` and run ``make docs`` from within the build directory. The API documentation can then be found at ``/docs/sphinx/index.html``. To build the documentation for GitHub pages, change to the build directory and call ``make docs-gh``. The content of directory ``/docs/sphinx-gh`` can then be copied over to GitHub pages. Building the Examples --------------------- See ``examples/README.md`` for instructions on how to build and run the examples. .. _testing-cvc5: Testing cvc5 ------------ We use ``ctest`` as test infrastructure. For all command-line options of ctest, see ``ctest -h``. Some useful options are: .. code:: ctest -R # run all tests with names matching ctest -E # exclude tests with names matching ctest -L # run all tests with labels matching ctest -LE # exclude tests with labels matching ctest # run all tests ctest -jN # run all tests in parallel with N threads ctest --output-on-failure # run all tests and print output of failed tests We have 4 categories of tests: - **examples** in directory ``examples`` (label: **example**) - **regression tests** (5 levels) in directory ``test/regress`` (label: **regressN** with N the regression level) - **api tests** in directory ``test/api`` (label: **api**) - **unit tests** in directory ``test/unit`` (label: **unit**) Testing System Tests ^^^^^^^^^^^^^^^^^^^^ The system tests are not built by default. .. code:: make apitests # build and run all system tests make # build test/system/. ctest api/ # run test/system/. All system test binaries are built into ``/bin/test/system``. We use prefix ``api/`` + ```` (for ```` in ``test/api``) as test target name. .. code:: make ouroborous # build test/api/ouroborous.cpp ctest -R ouroborous # run all tests that match '*ouroborous*' # > runs api/ouroborous ctest -R ouroborous$ # run all tests that match '*ouroborous' # > runs api/ouroborous ctest -R api/ouroborous$ # run all tests that match '*api/ouroborous' # > runs api/ouroborous Testing Unit Tests ^^^^^^^^^^^^^^^^^^ The unit tests are not built by default. Note that cvc5 can only be configured with unit tests in non-static builds with assertions enabled. .. code:: make units # build and run all unit tests make # build test/unit//. ctest unit// # run test/unit//. All unit test binaries are built into ``/bin/test/unit``. We use prefix ``unit/`` + ``/`` + ```` (for ```` in ``test/unit/``) as test target name. .. code:: make map_util_black # build test/unit/base/map_util_black.cpp ctest -R map_util_black # run all tests that match '*map_util_black*' # > runs unit/base/map_util_black ctest -R base/map_util_black$ # run all tests that match '*base/map_util_black' # > runs unit/base/map_util_black ctest -R unit/base/map_util_black$ # run all tests that match '*unit/base/map_util_black' # > runs unit/base/map_util_black Testing Regression Tests ^^^^^^^^^^^^^^^^^^^^^^^^ We use prefix ``regressN/`` + ``/`` + ```` (for ```` in level ``N`` in ``test/regress/regressN/``) as test target name. .. code:: ctest -L regress # run all regression tests ctest -L regress0 # run all regression tests in level 0 ctest -L regress[0-1] # run all regression tests in level 0 and 1 ctest -R regress # run all regression tests ctest -R regress0 # run all regression tests in level 0 ctest -R regress[0-1] # run all regression tests in level 0 and 1 ctest -R regress0/bug288b # run all tests that match '*regress0/bug288b*' # > runs regress0/bug288b Custom Targets ^^^^^^^^^^^^^^ All custom test targets build and run a preconfigured set of tests. - ``make check [-jN] [ARGS=-jN]`` The default build-and-test target for cvc5, builds and runs all examples, all system and unit tests, and regression tests from levels 0 to 2. - ``make systemtests [-jN] [ARGS=-jN]`` Build and run all system tests. - ``make units [-jN] [ARGS=-jN]`` Build and run all unit tests. - ``make regress [-jN] [ARGS=-jN]`` Build and run regression tests from levels 0 to 2. - ``make runexamples [-jN] [ARGS=-jN]`` Build and run all examples. - ``make coverage-test [-jN] [ARGS=-jN]`` Build and run all tests (system and unit tests, regression tests level 0-4) with gcov to determine code coverage. We use ``ctest`` as test infrastructure, and by default all test targets are configured to **run** in parallel with the maximum number of threads available on the system. Override with ``ARGS=-jN``. Use ``-jN`` for parallel **building** with ``N`` threads. Recompiling a specific cvc5 version with different LGPL library versions ------------------------------------------------------------------------ To recompile a specific static binary of cvc5 with different versions of the linked LGPL libraries perform the following steps: 1. Make sure that you have installed the desired LGPL library versions. You can check the versions found by cvc5's build system during the configure phase. 2. Determine the commit sha and configuration of the cvc5 binary .. code:: cvc5 --show-config 3. Download the specific source code version: .. code:: wget https://github.com/cvc5/cvc5/archive/.tar.gz 4. Extract the source code .. code:: tar xf .tar.gz 5. Change into source code directory .. code:: cd cvc5- 6. Configure cvc5 with options listed by ``cvc5 --show-config`` .. code:: ./configure.sh --static 7. Follow remaining steps from `build instructions <#building-cvc5>`_