Source code for pyomo.contrib.incidence_analysis.config

#  ___________________________________________________________________________
#
#  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.
#  ___________________________________________________________________________
"""Configuration options for incidence graph generation
"""

import enum
from pyomo.common.config import ConfigDict, ConfigValue, InEnum
from pyomo.common.modeling import NOTSET
from pyomo.repn.ampl import AMPLRepnVisitor
from pyomo.repn.util import FileDeterminism, FileDeterminism_to_SortComponents


[docs] class IncidenceMethod(enum.Enum): """Methods for identifying variables that participate in expressions""" identify_variables = 0 """Use ``pyomo.core.expr.visitor.identify_variables``""" standard_repn = 1 """Use ``pyomo.repn.standard_repn.generate_standard_repn``""" standard_repn_compute_values = 2 """Use ``pyomo.repn.standard_repn.generate_standard_repn`` with ``compute_values=True`` """ ampl_repn = 3 """Use ``pyomo.repn.ampl.AMPLRepnVisitor``"""
[docs] class IncidenceOrder(enum.Enum): dulmage_mendelsohn_upper = 0 dulmage_mendelsohn_lower = 1
_include_fixed = ConfigValue( default=False, domain=bool, description="Include fixed variables", doc=( "Flag indicating whether fixed variables should be included in the" " incidence graph" ), ) _linear_only = ConfigValue( default=False, domain=bool, description="Identify only variables that participate linearly", doc=( "Flag indicating whether only variables that participate linearly should" " be included." ), ) _method = ConfigValue( default=IncidenceMethod.standard_repn, domain=InEnum(IncidenceMethod), description="Method used to identify incident variables", ) def _amplrepnvisitor_validator(visitor): if not isinstance(visitor, AMPLRepnVisitor): raise TypeError( "'visitor' config argument should be an instance of AMPLRepnVisitor" ) return visitor _ampl_repn_visitor = ConfigValue( default=None, domain=_amplrepnvisitor_validator, description="Visitor used to generate AMPLRepn of each constraint", ) IncidenceConfig = ConfigDict() """Options for incidence graph generation - ``include_fixed`` -- Flag indicating whether fixed variables should be included in the incidence graph - ``linear_only`` -- Flag indicating whether only variables that participate linearly should be included. - ``method`` -- Method used to identify incident variables. Must be a value of the ``IncidenceMethod`` enum. - ``_ampl_repn_visitor`` -- Expression visitor used to generate ``AMPLRepn`` of each constraint. Must be an instance of ``AMPLRepnVisitor``. *This option is constructed automatically when needed and should not be set by users!* """ IncidenceConfig.declare("include_fixed", _include_fixed) IncidenceConfig.declare("linear_only", _linear_only) IncidenceConfig.declare("method", _method) IncidenceConfig.declare("_ampl_repn_visitor", _ampl_repn_visitor)
[docs] def get_config_from_kwds(**kwds): """Get an instance of IncidenceConfig from provided keyword arguments. If the ``method`` argument is ``IncidenceMethod.ampl_repn`` and no ``AMPLRepnVisitor`` has been provided, a new ``AMPLRepnVisitor`` is constructed. This function should generally be used by callers such as ``IncidenceGraphInterface`` to ensure that a visitor is created then re-used when calling ``get_incident_variables`` in a loop. """ if ( kwds.get("method", None) is IncidenceMethod.ampl_repn and kwds.get("_ampl_repn_visitor", None) is None ): subexpression_cache = {} external_functions = {} var_map = {} used_named_expressions = set() symbolic_solver_labels = False # TODO: Explore potential performance benefit of exporting defined variables. # This likely only shows up if we can preserve the subexpression cache across # multiple constraint expressions. export_defined_variables = False sorter = FileDeterminism_to_SortComponents(FileDeterminism.ORDERED) amplvisitor = AMPLRepnVisitor( subexpression_cache, external_functions, var_map, used_named_expressions, symbolic_solver_labels, export_defined_variables, sorter, ) kwds["_ampl_repn_visitor"] = amplvisitor return IncidenceConfig(kwds)