Skip to content

sagemath/sage-numerical-backends-cplex

Repository files navigation

sage-numerical-backends-cplex: CPLEX mixed integer linear programming backend for SageMath

PyPI

Prior to SageMath 9.1, CPLEXBackend was available as part of the SageMath source tree, from which it would be built as an "optional extension" if the proprietary CPLEX library and header files have been symlinked into $SAGE_LOCAL manually.

Because of the proprietary nature of the CPLEX software, CPLEXBackend is not available in any binary distributions of SageMath.

The present standalone Python package sage-numerical-backends-cplex has been created from the SageMath sources, version 9.0.beta10; the in-tree version of CPLEXBackend has been removed in Sage ticket https://trac.sagemath.org/ticket/28175.

The package can be installed on top of various Sage installations using pip, including older versions of Sage such as 8.1 (as shipped by Ubuntu bionic 18.04LTS). SageMath 9.1 and later makes the package available as an optional Sage package (SPKG).

Installation of CPLEX

CPLEX is proprietary software. It is available for free for researchers and students through IBM's Academic Initiative.

Install CPLEX according to the instructions on the website.

To prepare installation of sage-numerical-backends-cplex, find the installation directory of your ILOG CPLEX Studio installation, which contains subdirectories cplex, doc, opl, etc. Set the environment variable CPLEX_HOME to this directory; for example using the following shell command (on macOS):

    $ export CPLEX_HOME=/Applications/CPLEX_Studio1210

or (on Linux):

    $ export CPLEX_HOME=/opt/ibm/ILOG/CPLEX_Studio1210

Now verify that the CPLEX binary that you will find in the subdirectory cplex/bin/ARCH_OS starts correctly, for example::

$ $CPLEX_HOME/cplex/bin/x86-64_osx/cplex
Welcome to IBM(R) ILOG(R) CPLEX(R) Interactive Optimizer...

(Alternatively, set compiler/linker flags (or use symbolic links) so that cplex.h and libcplex.so can be found.)

Installation of this package in SageMath 9.1 or later

This package is prepared as an optional Sage package (SPKG) in SageMath 9.1 or later. To install it, use

    $ sage -i sage_numerical_backends_cplex

After a successful installation, Sage will automatically make this new backend the default MIP solver.

Installation of this package in older versions of SageMath

Install this package from PyPI using

$ sage -python -m pip install sage-numerical-backends-cplex

or from a checked out source tree using

$ sage -python -m pip install .

or from GitHub using

$ sage -python -m pip install git+https://github.com/mkoeppe/sage-numerical-backends-cplex

(See build.yml in the related package sage-numerical-backends-coin package for details about package prerequisites on various systems.)

Using this package in older versions of SageMath

To obtain a solver (backend) instance:

sage: from sage_numerical_backends_cplex.cplex_backend import CPLEXBackend
sage: CPLEXBackend()
<sage_numerical_backends_cplex.cplex_backend.CPLEXBackend object at 0x7fb72c2c7528>

Equivalently:

sage: from sage_numerical_backends_cplex.cplex_backend import CPLEXBackend
sage: from sage.numerical.backends.generic_backend import get_solver
sage: get_solver(solver=CPLEXBackend)
<sage_numerical_backends_cplex.cplex_backend.CPLEXBackend object at 0x7fe21ffbe2b8>

To use this solver (backend) with MixedIntegerLinearProgram:

sage: from sage_numerical_backends_cplex.cplex_backend import CPLEXBackend
sage: M = MixedIntegerLinearProgram(solver=CPLEXBackend)
sage: M.get_backend()
<sage_numerical_backends_cplex.cplex_backend.CPLEXBackend object at 0x7fb72c2c7868>

To make it available as the solver named 'CPLEX', we need to make the new module known as sage.numerical.backends.cplex_backend (note dots, not underscores), using the following commands:

sage: import sage_numerical_backends_cplex.cplex_backend as cplex_backend, sage.numerical.backends as backends, sys
sage: sys.modules['sage.numerical.backends.cplex_backend'] = backends.cplex_backend = cplex_backend

If these commands are executed in a Sage session before any MixedIntegerLinearProgram is created, then the new 'CPLEX' solver wins over the 'GLPK' solver in the selection of the default MIP backend. To select the 'CPLEX' solver explicitly as the default MIP backend, additionally use the following command.

sage: default_mip_solver('CPLEX')

To make these settings permanent, add the above 2 + 1 commands to your ~/.sage/init.sage file. Note that this setting will not affect doctesting (sage -t) because this file is ignored in doctesting mode.

Overriding the default solver in older versions of SageMath by patching the Sage installation

Another method is to patch the module in permanently to the sage installation (at your own risk). This method will affect doctesting.

$ sage -c 'import os; import sage.numerical.backends as dm; import sage_numerical_backends_cplex.cplex_backend as sm; s = sm.__file__; f = os.path.basename(s); d = os.path.join(dm.__path__[0], f); (os.path.exists(d) or os.path.lexists(d)) and os.remove(d); os.symlink(s, d);'

Or use the script patch_into_sage_module.py in the source distribution that does the same:

$ sage -c 'load("patch_into_sage_module.py")'
Success: Patched in the module as sage.numerical.backends.cplex_backend

Verify with check_get_solver_with_name.py that the patching script has worked:

$ sage -c 'load("check_get_solver_with_name.py")'
Success: get_solver(solver='cplex') gives <sage_numerical_backends_cplex.cplex_backend.CPLEXBackend object at 0x7f8f20218528>

Running doctests

To run the (limited) testsuite of this package, use:

$ sage setup.py test

To run the Sage testsuite with the default MIP solver set to the backend provided by this package, use:

$ sage setup.py check_sage_testsuite

About

CPLEX mixed integer linear programming backend for SageMath - can be installed on top of distributions providing SageMath. See also https://github.com/sagemath/sage-numerical-backends-coin and https://github.com/sagemath/sage-numerical-backends-gurobi

Resources

License

Stars

Watchers

Forks

Sponsor this project

 

Packages

No packages published