The Python module does not yet expose the full interface of the library but just enough is available to be able to build problems or load problems from a file and solve it. After solving, the values of variables can be obtained, as shown below.
These values will be returned as fractions.Fraction
or (if the value
is an integer) int
. Similarly, when building a problem the
parameters can be given as fractions.Fraction
or int
(or any
other numbers.Rational
) or anything that can be converted to
Fraction
using the Fraction
constructor (i.e. float
,
Decimal
, etc.).
import qsoptex
import logging
logging.basicConfig(level=logging.DEBUG)
p = qsoptex.ExactProblem()
p.add_variable(name='x', objective=2, lower=3.5, upper=17.5)
p.add_variable(name='y', objective=-1, lower=None, upper=2)
p.add_linear_constraint(qsoptex.ConstraintSense.EQUAL,
{'x': 1, 'y': 1}, rhs=0)
p.set_objective_sense(qsoptex.ObjectiveSense.MAXIMIZE)
p.set_param(qsoptex.Parameter.SIMPLEX_DISPLAY, 1)
status = p.solve()
if status == qsoptex.SolutionStatus.OPTIMAL:
print('Optimal solution')
print(p.get_objective_value())
print(p.get_value('x'))
The module is also able to load problems from external files:
p = qsoptex.ExactProblem()
p.read('netlib/cycle.mps', filetype='MPS') # 'LP' is also supported
p.set_param(qsoptex.Parameter.SIMPLEX_DISPLAY, 1)
status = p.solve()
When creating a problem with the QSopt_ex library, the variables and
constraints will be assigned a default name if no name is specified by the
user. Variables will be named xN
or x_N
and constraints will be named
cN
or c_N
(where N
is an integer). If the user later adds a named
variable or constraint which uses a name that is already in use, the name of
the new variable or constraint will be silently changed by the QSopt_ex
library. For example, the last line of the following code will remove the
first constraint from the problem, not the second.
p = qsoptex.ExactProblem()
p.add_variable(name='x', objective=2, lower=3.5, upper=17.5)
p.add_variable(name='y', objective=-1, lower=None, upper=2)
p.add_linear_constraint(qsoptex.ConstraintSense.EQUAL,
{'x': 1, 'y': 1}, rhs=0)
p.add_linear_constraint(qsoptex.ConstraintSense.LESS,
{'x': 1}, rhs=15, name='c1')
# Deletes the first constraint, not the second
p.delete_linear_constraint('c1')
This issue can be avoided by always assigning names to variables and constraints, or by avoiding using the same names as QSopt_ex uses as default names.
The module requires the QSopt_ex library to be installed. Currently, the modified version at https://github.com/jonls/qsopt-ex is required at version 2.5.10.3 or later.
Use setup.py
to build the extension. The setup script is based on
setuptools
.
$ ./setup install
If GnuMP or QSopt_ex is installed non-standard locations, the include and library paths can be set using the environment variables
- GnuMP:
GMP_INCLUDE_DIR
andGMP_LIBRARY_DIR
- QSopt_ex:
QSOPTEX_INCLUDE_DIR
andQSOPTEX_LIBRARY_DIR
For example, if GnuMP is installed in the /opt/local
prefix
$ GMP_INCLUDE_DIR=/opt/local/include GMP_LIBRARY_DIR=/opt/local/lib \
./setup.py install