def __init__(self):
MapContainer.__init__(self)
self.declare('name')
self.declare('status', value=SolverStatus.ok)
# Semantics: the integer return code from the shell in which the solver
# is launched.
self.declare('return_code')
self.declare('message')
self.declare('user_time', type=ScalarType.time)
self.declare('deterministic_time', type=ScalarType.float)
self.declare('system_time', type=ScalarType.time)
self.declare('wallclock_time', type=ScalarType.time)
# Semantics: The specific condition that caused the solver to
# terminate.
self.declare('termination_condition',
value=TerminationCondition.unknown)
# Semantics: A string printed by the solver that summarizes the
# termination status.
self.declare('termination_message')
self.declare('statistics', value=SolverStatistics(), active=False)
self.declare('warm_start_objective_value', type=ScalarType.float)
# Semantics: The total time spent processing the root node.
self.declare('root_node_processing_time', type=ScalarType.time)
# Semantics: The total time spent processing the MIP search tree.
self.declare('tree_processing_time', type=ScalarType.time)
# Semantics: The number of feasible solutions found.
self.declare('n_solutions_found', type=ScalarType.int)
# Semantics: If mip start was attempted but failed to provide a feasible solution.
self.declare('mip_start_failed', type=bool)
def __init__(self):
MapContainer.__init__(self)
self._sections = []
self._descriptions = {}
self.add('problem',
ListContainer(pyomo.opt.results.problem.ProblemInformation),
False, "Problem Information")
self.add('solver',
ListContainer(pyomo.opt.results.solver.SolverInformation),
False, "Solver Information")
self.add('solution', pyomo.opt.results.solution.SolutionSet(), False,
"Solution Information")
def __init__(self):
MapContainer.__init__(self)
self.declare('gap')
self.declare('status', value=SolutionStatus.unknown)
self.declare('message')
self.declare('problem', value={})
self.declare('objective', value={})
self.declare('variable', value={})
self.declare('constraint', value={})
self._option = default_print_options
def __init__(self):
MapContainer.__init__(self)
self.declare('name')
self.declare('lower_bound', value=float('-inf'))
self.declare('upper_bound', value=float('inf'))
self.declare('number_of_objectives', value=1, required=True)
self.declare('number_of_constraints', value=0)
self.declare('number_of_variables', value=0)
self.declare('number_of_binary_variables')
self.declare('number_of_integer_variables')
self.declare('number_of_continuous_variables')
self.declare('number_of_nonzeros')
self.declare('sense', value=ProblemSense.unknown, required=True)
def __init__(self):
MapContainer.__init__(self)
self._sections = []
self._descriptions = {}
self.add('problem',
ListContainer(pyomo.opt.results.problem.ProblemInformation),
False,
"Problem Information")
self.add('solver',
ListContainer(pyomo.opt.results.solver.SolverInformation),
False,
"Solver Information")
self.add('solution',
pyomo.opt.results.solution.SolutionSet(),
False,
"Solution Information")
def __init__(self):
MapContainer.__init__(self)
self.declare('name')
self.declare('status', value=SolverStatus.ok)
# Semantics: the integer return code from the shell in which the solver
# is launched.
self.declare('return_code')
self.declare('message')
self.declare('user_time', type=ScalarType.time)
self.declare('system_time', type=ScalarType.time)
self.declare('wallclock_time', type=ScalarType.time)
# Semantics: The specific condition that caused the solver to
# terminate.
self.declare('termination_condition',
value=TerminationCondition.unknown)
# Semantics: A string printed by the solver that summarizes the
# termination status.
self.declare('termination_message')
self.declare('statistics', value=SolverStatistics(), active=False)
def load(self, repn):
# delete key from dictionary, call base class load, handle variable loading.
if "Variable" in repn:
tmp_ = repn["Variable"]
del repn["Variable"]
self.variable = tmp_
if "Constraint" in repn:
tmp_ = repn["Constraint"]
del repn["Constraint"]
self.constraint = tmp_
if "Problem" in repn:
tmp_ = repn["Problem"]
del repn["Problem"]
self.problem = tmp_
if "Objective" in repn:
tmp_ = repn["Objective"]
del repn["Objective"]
self.objective = tmp_
MapContainer.load(self, repn)
def __init__(self):
MapContainer.__init__(self)
self.declare('name')
self.declare('status', value=SolverStatus.ok)
# Semantics: the integer return code from the shell in which the solver
# is launched.
self.declare('return_code')
self.declare('message')
self.declare('user_time', type=ScalarType.time)
self.declare('system_time', type=ScalarType.time)
self.declare('wallclock_time', type=ScalarType.time)
# Semantics: The specific condition that caused the solver to
# terminate.
self.declare('termination_condition',
value=TerminationCondition.unknown)
# Semantics: A string printed by the solver that summarizes the
# termination status.
self.declare('termination_message')
self.declare('statistics', value=SolverStatistics(), active=False)
def __init__(self):
MapContainer.__init__(self)
self.declare("branch_and_bound",
value=BranchAndBoundStats(),
active=False)
self.declare("black_box", value=BlackBoxStats(), active=False)
def __init__(self):
MapContainer.__init__(self)
self.declare('number of function evaluations')
self.declare('number of gradient evaluations')
self.declare('number of iterations')
def __init__(self):
MapContainer.__init__(self)
self.declare('number of bounded subproblems')
self.declare('number of created subproblems')
def __init__(self):
MapContainer.__init__(self)
self.declare("branch_and_bound", value=BranchAndBoundStats(),
active=False)
self.declare("black_box", value=BlackBoxStats(), active=False)
def __init__(self):
MapContainer.__init__(self)
self.declare('number of function evaluations')
self.declare('number of gradient evaluations')
self.declare('number of iterations')
def __init__(self):
MapContainer.__init__(self)
self.declare('number of bounded subproblems')
self.declare('number of created subproblems')
