BaseStepController

class cubie.integrators.step_control.base_step_controller.BaseStepController(precision: type[float16] | type[float32] | type[float64] | dtype[float16] | dtype[float32] | dtype[float64], dt: float = None, n_states: int = 1, **kwargs)

Bases: CUDAFactory

Factory interface for compiling CUDA step-size controllers.

__init__(precision: type[float16] | type[float32] | type[float64] | dtype[float16] | dtype[float32] | dtype[float64], dt: float = None, n_states: int = 1, **kwargs) → None

Initialise the step controller.

Parameters:

• precision – Precision used for controller calculations.

• dt – Step size or initial step size.

• n_states – Number of state variables.

• **kwargs – Additional parameters passed to the config class.

_apply_filter_coefficients(params: dict) → set[str]

Translate filter_coefficients in params into gains.

Parameters:

params – Mutable settings mapping; modified in place.

Returns:

The consumed keys.

Return type:

set[str]

Raises:

ValueError – On mixed gain and filter input, or an unsupported gain.

_update(updates: dict[str, object], silent: bool) → set[str]

Apply the settings; accept other controllers’ parameters.

Parameters:

• updates – Setting names to new values.

• silent – Suppress the other-controller parameter warning.

Returns:

Recognised names, including other controllers’ parameters.

Return type:

set[str]

Notes

Filter coefficient aliases are translated first. Unapplied names in ALL_STEP_CONTROLLER_PARAMETERS count as recognised and warn.

property atol: ndarray

Return absolute tolerance.

build() → ControllerCache

Compile the controller and record its bounds and tolerances.

Returns:

The compiled controller with its products filled in.

Return type:

ControllerCache

abstractmethod compile_controller() → ControllerCache

Compile the controller device function.

Returns:

The compiled controller.

Return type:

ControllerCache

property device_function: Callable

Return the compiled step-controller device function.

property dt: float

Return the initial step size.

property dt_max: float

Return the maximum supported step size.

property dt_min: float

Return the minimum supported step size.

property gain_names: tuple[str, ...]

Return the PID gain keys this controller’s config carries.

property is_adaptive: bool

Return True if the controller is adaptive.

property mass_flags: Tuple[bool, ...]

Return the per-state mass-diagonal flags.

property n_states: int

Return the number of controlled state variables.

register_buffers() → None

Register controller buffers with the central buffer registry.

Registers the timestep_buffer at _timestep_buffer_elements history slots in the location given by compile_settings.timestep_memory_location. Controllers that keep no history (_timestep_buffer_elements == 0) register nothing, so the registry owns the size like every other buffer-registered class.

property rtol: ndarray

Return relative tolerance.

settings_keys: frozenset | None = frozenset({'algorithm_order', 'atol', 'deadband_max', 'deadband_min', 'derivative_gain', 'dt', 'dt_max', 'dt_min', 'filter_coefficients', 'integral_gain', 'mass_flags', 'max_step_growth', 'min_step_shrink', 'n_states', 'newton_target_iters', 'precision', 'proportional_gain', 'rtol', 'safety', 'step_controller', 'timestep_memory_location'})

Loose keys the factory accepts; None accepts every field.

classmethod system_inputs(system: Any, algorithm_order: int) → Dict[str, Any]

Return controller settings from a system object and step order.