Cbc
-
class
pyomo.contrib.appsi.solvers.cbc.
CbcConfig
(description=None, doc=None, implicit=False, implicit_domain=None, visibility=0)[source] Bases:
SolverConfig
-
add
(name, config)
-
content_filters
= {'userdata', 'all', None}
-
declare
(name, config)
-
declare_as_argument
(*args, **kwds) Map this Config item to an argparse argument.
Valid arguments include all valid arguments to argparse’s ArgumentParser.add_argument() with the exception of ‘default’. In addition, you may provide a group keyword argument to either pass in a pre-defined option group or subparser, or else pass in the string name of a group, subparser, or (subparser, group).
-
declare_from
(other, skip=None)
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display
(content_filter=None, indent_spacing=2, ostream=None, visibility=None)
-
generate_documentation
(block_start=None, block_end=None, item_start=None, item_body=None, item_end=None, indent_spacing=2, width=78, visibility=0, format='latex')
-
generate_yaml_template
(indent_spacing=2, width=78, visibility=0)
-
get
(k[, d]) D[k] if k in D, else d. d defaults to None.
-
import_argparse
(parsed_args)
-
initialize_argparse
(parser)
-
items
() a set-like object providing a view on D's items
-
iteritems
() DEPRECATED.
Deprecated since version 6.0: The iteritems method is deprecated. Use dict.keys().
-
iterkeys
() DEPRECATED.
Deprecated since version 6.0: The iterkeys method is deprecated. Use dict.keys().
-
itervalues
() DEPRECATED.
Deprecated since version 6.0: The itervalues method is deprecated. Use dict.keys().
-
keys
() a set-like object providing a view on D's keys
-
name
(fully_qualified=False)
-
reset
()
-
set_default_value
(default)
-
set_domain
(domain)
-
set_value
(value, skip_implicit=False)
-
setdefault
(key, default=NOTSET)
-
unused_user_values
()
-
user_values
()
-
value
(accessValue=True)
-
values
() an object providing a view on D's values
-
-
class
pyomo.contrib.appsi.solvers.cbc.
Cbc
[source] Bases:
PersistentSolver
-
class
Availability
(value) Bases:
IntEnum
An enumeration.
-
BadLicense
= -2
-
BadVersion
= -1
-
FullLicense
= 1
-
LimitedLicense
= 2
-
NeedsCompiledExtension
= -3
-
NotFound
= 0
-
-
available
()[source] Test if the solver is available on this system.
Nominally, this will return True if the solver interface is valid and can be used to solve problems and False if it cannot.
Note that for licensed solvers there are a number of “levels” of available: depending on the license, the solver may be available with limitations on problem size or runtime (e.g., ‘demo’ vs. ‘community’ vs. ‘full’). In these cases, the solver may return a subclass of enum.IntEnum, with members that resolve to True if the solver is available (possibly with limitations). The Enum may also have multiple members that all resolve to False indicating the reason why the interface is not available (not found, bad license, unsupported version, etc).
Returns: available – An enum that indicates “how available” the solver is. Note that the enum can be cast to bool, which will be True if the solver is runable at all and False otherwise. Return type: Solver.Availability
-
property
cbc_options
- returns: cbc_options – A dictionary mapping solver options to values for those options. These
- are solver specific.
Return type: dict
-
property
config
An object for configuring solve options.
Returns: An object for configuring pyomo solve options such as the time limit. These options are mostly independent of the solver. Return type: SolverConfig
-
get_duals
(cons_to_load=None)[source] Declare sign convention in docstring here.
Parameters: cons_to_load (list) – A list of the constraints whose duals should be loaded. If cons_to_load is None, then the duals for all constraints will be loaded. Returns: duals – Maps constraints to dual values Return type: dict
-
get_primals
(vars_to_load: Optional[Sequence[_GeneralVarData]] = None) Mapping[_GeneralVarData, float] [source]
-
get_reduced_costs
(vars_to_load: Optional[Sequence[_GeneralVarData]] = None) Mapping[_GeneralVarData, float] [source] Parameters: vars_to_load (list) – A list of the variables whose reduced cost should be loaded. If vars_to_load is None, then all reduced costs will be loaded. Returns: reduced_costs – Maps variable to reduced cost Return type: ComponentMap
-
get_slacks
(cons_to_load: Optional[Sequence[_GeneralConstraintData]] = None) Dict[_GeneralConstraintData, float] Parameters: cons_to_load (list) – A list of the constraints whose slacks should be loaded. If cons_to_load is None, then the slacks for all constraints will be loaded. Returns: slacks – Maps constraints to slack values Return type: dict
-
is_persistent
() Returns: is_persistent – True if the solver is a persistent solver. Return type: bool
-
load_vars
(vars_to_load: Optional[Sequence[_GeneralVarData]] = None) NoReturn Load the solution of the primal variables into the value attribut of the variables.
Parameters: vars_to_load (list) – A list of the variables whose solution should be loaded. If vars_to_load is None, then the solution to all primal variables will be loaded.
-
solve
(model, timer: Optional[HierarchicalTimer] = None)[source] Solve a Pyomo model.
Parameters: - model (_BlockData) – The Pyomo model to be solved
- timer (HierarchicalTimer) – An option timer for reporting timing
Returns: results – A results object
Return type:
-
property
symbol_map
-
property
update_config
-
property
writer
-
class