modules.devices.simulated_annealing_sampler.SimulatedAnnealingSampler

class SimulatedAnnealingSampler

Bases: Device

Class for D-Waves neal simulated annealer.

__init__()

Constructor method.

Methods

__init__()	Constructor method.
get_available_submodule_options()	Gets the list of available options.
get_available_submodules(option)	If the module has submodules depending on certain options, this method should adjust the submodule_options accordingly.
get_default_submodule(option)	Raises ValueError as this module has no submodules.
get_depending_parameters(option, config)	If the module has parameters depending on certain options, this method should return the parameters for the given option.
get_device()	Returns device.
get_device_name()	Returns the device name.
get_parameter_options()	Returns empty dictionary as this solver has no configurable settings.
get_requirements()	Return requirements of this module.
get_submodule(option)	Submodule is instantiated according to the information given in self.sub_options.
postprocess(input_data, config, **kwargs)	Returns input data and adds device name to the metrics class instance.
preprocess(input_data, config, **kwargs)	Returns instance of device class (self) and time it takes to call config.
set_config(config)	Sets the device configuration.

get_available_submodule_options() → list

Gets the list of available options.

Returns:

List of module options

get_available_submodules(option: list) → list

If the module has submodules depending on certain options, this method should adjust the submodule_options accordingly.

Parameters:

option -- List of chosen options

Returns:

List of available submodules

get_default_submodule(option: str) → None

Raises ValueError as this module has no submodules.

Parameters:

option -- Option name

Raises:

ValueError -- If called, since this module has no submodules

get_depending_parameters(option: str, config: dict) → dict

If the module has parameters depending on certain options, this method should return the parameters for the given option.

Parameters:

• option -- The chosen option

• config -- Current config dictionary

Returns:

The parameters for the given option

get_device() → any

Returns device.

Returns:

Instance of the device class

get_device_name() → str

Returns the device name.

Returns:

Name of the device

get_parameter_options() → dict

Returns empty dictionary as this solver has no configurable settings.

Returns:

Empty dict

static get_requirements() → list[dict]

Return requirements of this module.

Returns:

List of dict with requirements of this module

get_submodule(option: str) → Core

Submodule is instantiated according to the information given in self.sub_options. If self.sub_options is None, get_default_submodule is called as a fallback.

Parameters:

option -- String with the options

Returns:

Instance of a module

postprocess(input_data: any, config: dict, **kwargs) → tuple[any, float]

Returns input data and adds device name to the metrics class instance.

Parameters:

• input_data -- Input data passed by the parent module

• config -- Solver config

• kwargs -- Optional keyword arguments

Returns:

Output and time needed

preprocess(input_data: any, config: dict, **kwargs) → tuple[any, float]

Returns instance of device class (self) and time it takes to call config.

Parameters:

• input_data -- Input data (not used)

• config -- Config for the device

• kwargs -- Optional keyword arguments

Returns:

Output and time needed

set_config(config)

Sets the device configuration.

Parameters:

config -- Configuration settings for the device