def _presolve(self, *args, **kwds):
"""
kwds not consumed here or at the beginning of OptSolver._presolve will raise an error in
OptSolver._presolve.
args
----
pyomo Model or IBlock
kwds
----
warmstart: bool
can only be True if the subclass is warmstart capable; if not, an error will be raised
symbolic_solver_labels: bool
if True, the model will be translated using the names from the pyomo model; otherwise, the variables and
constraints will be numbered with a generic xi
skip_trivial_constraints: bool
if True, any trivial constraints (e.g., 1 == 1) will be skipped (i.e., not passed to the solver).
output_fixed_variable_bounds: bool
if False, an error will be raised if a fixed variable is used in any expression rather than the value of the
fixed variable.
keepfiles: bool
if True, the solver log file will be saved and the name of the file will be printed.
kwds accepted by OptSolver._presolve
"""
model = args[0]
if len(args) != 1:
msg = ("The {0} plugin method '_presolve' must be supplied a single problem instance - {1} were " +
"supplied.").format(type(self), len(args))
raise ValueError(msg)
self._set_instance(model, kwds)
DirectOrPersistentSolver._presolve(self, **kwds)
def _presolve(self, *args, **kwds):
"""
kwds not consumed here or at the beginning of OptSolver._presolve will raise an error in
OptSolver._presolve.
args
----
pyomo Model or IBlock
kwds
----
warmstart: bool
can only be True if the subclass is warmstart capable; if not, an error will be raised
symbolic_solver_labels: bool
if True, the model will be translated using the names from the pyomo model; otherwise, the variables and
constraints will be numbered with a generic xi
skip_trivial_constraints: bool
if True, any trivial constraints (e.g., 1 == 1) will be skipped (i.e., not passed to the solver).
output_fixed_variable_bounds: bool
if False, an error will be raised if a fixed variable is used in any expression rather than the value of the
fixed variable.
keepfiles: bool
if True, the solver log file will be saved and the name of the file will be printed.
kwds accepted by OptSolver._presolve
"""
model = args[0]
if len(args) != 1:
msg = ("The {0} plugin method '_presolve' must be supplied a single problem instance - {1} were " +
"supplied.").format(type(self), len(args))
raise ValueError(msg)
self._set_instance(model, kwds)
DirectOrPersistentSolver._presolve(self, **kwds)
def _presolve(self, *args, **kwds):
if len(args) != 0:
msg = 'The persistent solver interface does not accept a problem instance in the solve method.'
msg += ' The problem instance should be set before the solve using the set_instance method.'
raise ValueError(msg)
DirectOrPersistentSolver._presolve(self, *args, **kwds)
def _presolve(self, **kwds):
DirectOrPersistentSolver._presolve(self, **kwds)
def _presolve(self, **kwds):
DirectOrPersistentSolver._presolve(self, **kwds)