Source code for pyomo.contrib.preprocessing.plugins.detect_fixed_vars

#  ___________________________________________________________________________
#
#  Pyomo: Python Optimization Modeling Objects
#  Copyright (c) 2008-2024
#  National Technology and Engineering Solutions of Sandia, LLC
#  Under the terms of Contract DE-NA0003525 with National Technology and
#  Engineering Solutions of Sandia, LLC, the U.S. Government retains certain
#  rights in this software.
#  This software is distributed under the 3-clause BSD License.
#  ___________________________________________________________________________

"""Transformation to detect variables fixed by bounds and fix them."""
from math import fabs

from pyomo.core.base.transformation import TransformationFactory
from pyomo.common.collections import ComponentMap
from pyomo.common.config import (
    ConfigBlock,
    ConfigValue,
    NonNegativeFloat,
    document_kwargs_from_configdict,
)
from pyomo.core.base.var import Var
from pyomo.core.expr.numvalue import value
from pyomo.core.plugins.transform.hierarchy import IsomorphicTransformation


[docs]@TransformationFactory.register( 'contrib.detect_fixed_vars', doc="Detect variables that are de-facto fixed but not considered fixed.", ) @document_kwargs_from_configdict('CONFIG') class FixedVarDetector(IsomorphicTransformation): """Detects variables that are de-facto fixed but not considered fixed. For each variable :math:`v` found on the model, check to see if its lower bound :math:`v^{LB}` is within some tolerance of its upper bound :math:`v^{UB}`. If so, fix the variable to the value of :math:`v^{LB}`. Keyword arguments below are specified for the ``apply_to`` and ``create_using`` functions. """ CONFIG = ConfigBlock("FixedVarDetector") CONFIG.declare( "tmp", ConfigValue( default=False, domain=bool, description="True to store the set of transformed variables and " "their old values so that they can be restored.", ), ) CONFIG.declare( "tolerance", ConfigValue( default=1e-13, domain=NonNegativeFloat, description="tolerance on bound equality (LB == UB)", ), ) def _apply_to(self, instance, **kwargs): config = self.CONFIG(kwargs) if config.tmp: instance._xfrm_detect_fixed_vars_old_values = ComponentMap() for var in instance.component_data_objects(ctype=Var, descend_into=True): if var.fixed or var.lb is None or var.ub is None: # if the variable is already fixed, or if it is missing a # bound, we skip it. continue if fabs(value(var.lb) - value(var.ub)) <= config.tolerance: if config.tmp: instance._xfrm_detect_fixed_vars_old_values[var] = var.value var.fix(var.lb)
[docs] def revert(self, instance): """Revert variables fixed by the transformation.""" for var, var_value in instance._xfrm_detect_fixed_vars_old_values.items(): var.unfix() var.set_value(var_value) del instance._xfrm_detect_fixed_vars_old_values