# rights in this software.
# This software is distributed under the 3-clause BSD License.
# ___________________________________________________________________________
__all__ = ['convert_problem']
import copy
import os
from pyomo.opt.base.formats import guess_format
from pyomo.opt.base.error import ConverterError
from pyomo.common import Factory
# WEH - Should we treat these as singleton objects? Not for now, since
# I can't think of a case where that would impact performance
ProblemConverterFactory = Factory('problem converter')
def convert_problem(args,
target_problem_type,
valid_problem_types,
has_capability=lambda x: False,
**kwds):
"""
Convert a problem, defined by the 'args' tuple, into another
problem.
"""
if len(valid_problem_types) == 0:
raise ConverterError("No valid problem types")
"The Transformation.apply_to method is not implemented.")
def _create_using(self, model, **kwds):
# Put all the kwds onto the model so that when we clone the
# model any references to things on the model are correctly
# updated to point to the new instance. Note that users &
# transformation developers cannot rely on things happening by
# argument side effect.
name = unique_component_name(model, '_kwds')
setattr(model, name, kwds)
instance = model.clone()
kwds = getattr(instance, name)
delattr(model, name)
delattr(instance, name)
self._apply_to(instance, **kwds)
return instance
TransformationFactory = Factory('transformation type')
@deprecated(version='4.3.11323')
def apply_transformation(*args, **kwds):
if len(args) == 0:
return list(TransformationFactory)
xfrm = TransformationFactory(args[0])
if len(args) == 1 or xfrm is None:
return xfrm
tmp = (args[1], )
return xfrm.apply(*tmp, **kwds)
# ___________________________________________________________________________
#
# Pyomo: Python Optimization Modeling Objects
# Copyright 2017 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.
# ___________________________________________________________________________
__all__ = ['AsynchronousSolverManager', 'SolverManagerFactory']
from pyomo.common import Factory
from pyomo.opt.parallel.manager import *
SolverManagerFactory = Factory('solver manager')
class AsynchronousSolverManager(AsynchronousActionManager):
def __init__(self, **kwds):
AsynchronousActionManager.__init__(self)
def solve(self, *args, **kwds):
return self.execute(*args, **kwds)
def solve_all(self, solver, instances, **kwds):
"""
A simple utility to apply a solver to a list of problem instances.
The solver is applied asynchronously and a barrier synchronization
is performed to finalize all results. All keywords are passed
to each invocation of the solver, and the results are loaded
# ___________________________________________________________________________
#
# Pyomo: Python Optimization Modeling Objects
# Copyright 2017 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.
# ___________________________________________________________________________
__all__ = ['AbstractResultsReader', 'ReaderFactory']
from pyomo.common import Factory
ReaderFactory = Factory('problem reader')
class AbstractResultsReader(object):
"""Base class that can read optimization results."""
def __init__(self, results_format):
self.format = results_format
def __call__(self, filename, res=None, suffixes=[]): #pragma:nocover
raise TypeError("Method __call__ undefined in reader for format " +
str(self.format))
#
# Support "with" statements. Forgetting to call deactivate
# on Plugins is a common source of memory leaks
#
def __enter__(self):
# 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.
# ___________________________________________________________________________
__all__ = [
"AbstractProblemWriter",
"WriterFactory",
"BranchDirection",
]
from pyomo.common import Factory
WriterFactory = Factory('problem writer')
class AbstractProblemWriter(object):
"""Base class that can write optimization problems."""
def __init__(self, problem_format): #pragma:nocover
self.format = problem_format
def __call__(self, model, filename, solver_capability,
**kwds): #pragma:nocover
raise TypeError("Method __call__ undefined in writer for format " +
str(self.format))
#
# Support "with" statements.
#
# Pyomo: Python Optimization Modeling Objects
# Copyright 2017 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.
# ___________________________________________________________________________
__all__ = [
'AbstractProblemWriter', 'WriterFactory', 'ProblemConfigFactory',
'BaseProblemConfig'
]
from pyomo.common import Factory
ProblemConfigFactory = Factory('problem configuration object')
class BaseProblemConfig(object):
"""Base class for plugins generating problem configurations"""
def config_block(self):
pass
WriterFactory = Factory('problem writer')
class AbstractProblemWriter(object):
"""Base class that can write optimization problems."""
def __init__(self, problem_format): #pragma:nocover
self.format = problem_format
# ___________________________________________________________________________
#
# Pyomo: Python Optimization Modeling Objects
# Copyright 2017 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.
# ___________________________________________________________________________
"""
Define factory used for using OptProblem IO formats.
"""
from pyomo.common import Factory
BlackBoxOptProblemIOFactory = Factory('black box problem IO format')
