SymEngine is a standalone fast C++ symbolic manipulation library. Optional thin wrappers allow usage of the library from other languages, e.g.:
- C wrappers allow usage from C, or as a basis for other wrappers (the symengine/cwrapper.h file)
- Python wrappers allow easy usage from Python and integration with SymPy and Sage (the symengine.py repository)
- Ruby wrappers (the symengine.rb repository)
- Julia wrappers (the SymEngine.jl repository)
- Haskell wrappers (the symengine.hs repository)
- ...
Tutorials are at SymEngine.org.
Run an interactive C++ session with SymEngine using 
All files are licensed under MIT license, see the LICENSE for more information. Third party code packaged are licensed under BSD 3-clause license (see the LICENSE file).
SymEngine mailinglist: http://groups.google.com/group/symengine
conda install symengine -c conda-forge
Install prerequisites. For Debian based systems (Ubuntu etc.):
apt-get install cmake libgmp-dev
For RPM based systems (Fedora etc.):
yum install cmake gmp-devel
Install SymEngine:
mkdir build && cd build
cmake ..
make
make install
This will configure and build SymEngine in the default Release mode with all code and compiler optimizations on and then install it on your system.
Run tests:
ctest
The Travis-CI checks the code in both Release and Debug mode with all possible
checks, so just sending a GitHub pull request is enough and you can use any
mode you want to develop it. However, the best way to develop SymEngine on Linux
is to use the Debug mode with BFD support on:
cmake -DCMAKE_BUILD_TYPE=Debug -DWITH_BFD=yes ..
This BFD support turns on nice Python like stack traces on exceptions, assert
errors or segfaults, and the Debug mode automatically turns on
WITH_SYMENGINE_RCP=no (which uses Teuchos::RCP with full Debug time
checking) and WITH_SYMENGINE_ASSERT=yes, so the code cannot segfault in Debug
mode, as long as our style conventions (e.g. no raw pointers) are followed,
which is easy to check by visual inspection of a given Pull Request. In Release
mode, which is the default, the code is as performing as manual reference
counting and raw pointers (and if there is a bug, it could segfault, in which
case all you have to do is to turn Debug mode on and get a nice exception with
a stack trace).
To make WITH_BFD=yes work, you need to install binutils-dev first,
otherwise you will get a CMake error during configuring.
For Debian based systems (Ubuntu etc.)
apt-get install binutils-dev
For RPM based systems (Fedora etc.)
yum install binutils-devel
On OpenSuSE you will additionally need glibc-devel.
Here are all the CMake options that you can use to configure the build, with
their default values indicated below:
cmake -DCMAKE_INSTALL_PREFIX:PATH="/usr/local" \ # Installation prefix
-DCMAKE_BUILD_TYPE:STRING="Release" \ # Type of build, one of: Debug or Release
-DWITH_BFD:BOOL=OFF \ # Install with BFD library (requires binutils-dev)s
-DWITH_SYMENGINE_ASSERT:BOOL=OFF \ # Test all SYMENGINE_ASSERT statements in the code
-DWITH_SYMENGINE_RCP:BOOL=ON \ # Use our faster special implementation of RCP
-DWITH_SYMENGINE_THREAD_SAFE:BOOL=OFF \ # Build with thread safety
-DWITH_ECM:BOOL=OFF \ # Build with GMP-ECM library for integer factorization
-DWITH_PRIMESIEVE:BOOL=OFF \ # Install with Primesieve library
-DWITH_FLINT:BOOL=OFF \ # Install with Flint library
-DWITH_ARB:BOOL=OFF \ # Install with ARB library
-DWITH_TCMALLOC:BOOL=OFF \ # Install with TCMalloc linked
-DWITH_OPENMP:BOOL=OFF \ # Install with OpenMP enabled
-DWITH_PIRANHA:BOOL=OFF \ # Install with Piranha library
-DWITH_MPFR:BOOL=OFF \ # Install with MPFR library
-DWITH_MPC:BOOL=OFF \ # Install with MPC library
-DWITH_LLVM:BOOL=OFF \ # Build with LLVM libraries
-DBUILD_TESTS:BOOL=ON \ # Build with tests
-DBUILD_BENCHMARKS:BOOL=ON \ # Build with benchmarks
-DBUILD_BENCHMARKS_NONIUS:BOOL=OFF \ # Build with Nonius benchmarks
-DBUILD_BENCHMARKS_GOOGLE:BOOL=OFF \ # Build with Google Benchmark benchmarks
-DINTEGER_CLASS:STRING=gmp \ # Choose storage type for Integer. one of gmp, gmpxx,
flint, piranha, boostmp
-DBUILD_SHARED_LIBS:BOOL=OFF \ # Build a shared library.
-DCMAKE_INSTALL_RPATH_USE_LINK_PATH:BOOL=OFF\ # Add dependencies to rpath when a shared lib is built
..
If OpenMP is enabled, then SYMENGINE_THREAD_SAFE is also enabled automatically
irrespective of the user input for WITH_SYMENGINE_THREAD_SAFE.
CMake prints the value of its options at the end of the run.
If you want to use a different compiler, do:
CC=clang CXX=clang++ cmake ..
If you want to set additional compilation flags, do:
CXXFLAGS="$CXXFLAGS -march=native" cmake ..
These environment variables are checked only in the first run of
cmake and you have to delete the build directory or CMakeCache.txt file
for these environment variables to be picked up in subsequent runs.
Using INTEGER_CLASS=boostmp would remove the dependency on gmp and use boost's
multiprecision integer and rational classes. This would make boost, the only
dependency and all the code would be under permissive licenses, namely, MIT,
BSD 3-clause and Boost License.
The Nonius based benchmarks (BUILD_BENCHMARKS_NONIUS) and Piranha
(WITH_PIRANHA) depend on Boost, so they are off by default. The benchmarked
code (both with and without Nonius) seems to depend on the order of which you
execute the benchmarks in a given executable, due to internal malloc
implementation. We have found that this order dependence is reduced by enabling
WITH_TCMALLOC=ON and since it also speeds the benchmarks up, we recommend
to always use TCMalloc when benchmarking (and the Release mode of SymEngine,
which is the default).
Use CMAKE_PREFIX_PATH to specify the prefixes of the external libraries.
cmake -DCMAKE_PREFIX_PATH=<prefix1>;<prefix2>
If the headers and libs are not in <prefix>/include and <prefix>/lib respectively,
use CMAKE_LIBRARY_PATH and CMAKE_INCLUDE_PATH.
If CMake still cannot find the library, you can specify the path to the library by
doing cmake -DPKG_LIBRARY=/path/libname.so ., where PKG should be replaced
with the name of the external library (GMP, ARB, BFD, FLINT, MPFR, ...).
Similarly, -DPKG_INCLUDE_DIR can be used for headers.
For packaging symengine it is recommended to use GMP, MPFR, MPC, FLINT, LLVM as
dependencies if they are available and build with thread safety on.
cmake -DWITH_GMP=on -DWITH_MPFR=on -DWITH_MPC=on -DINTEGER_CLASS=flint -DWITH_LLVM=on
-DWITH_SYMENGINE_THREAD_SAFE=on ..
To build with more optimizations, you can use the above dependencies and options and also,
CXXFLAGS="-march=native -O3" cmake -DWITH_TCMALLOC=on -DWITH_SYMENGINE_THREAD_SAFE=no ..
Please follow the C++ Style Guide when developing.
The design decisions are documented in Design.