Hardaware Loop#

class HardwareLoop(scenario, manual_triggering=False, plot_information=True, iteration_priority=IterationPriority.DROPS, record_drops=True, **kwargs)[source]#

Bases: Serializable, Generic[PhysicalScenarioType, PDT], Pipeline[PhysicalScenarioType, PDT]

Hermespy hardware loop configuration.

Parameters:

scenario (PhysicalScenarioType) – The physical scenario being controlled by the hardware loop.
manual_triggering (bool, optional) – Require a keyboard user input to trigger each drop manually. Disabled by default.
plot_information (bool, optional) – Plot information during loop runtime. Enabled by default.
iteration_priority (IterationPriority, optional) – Which dimension to iterate over first. Defaults to IterationPriority.DROPS.
record_drops (bool, optional) – Record drops during loop runtime. Enabled by default.

add_dimension(dimension)[source]#

Add a new dimension to the simulation grid.

Parameters:: dimension (GridDimension) – Dimension to be added.
Raises:: ValueError – If the dimension already exists within the grid.
Return type:: None

add_evaluator(evaluator)[source]#

Add new evaluator to the hardware loop.

Parameters:: evaluator (Evaluator) – The evaluator to be added.
Return type:: None

add_plot(plot)[source]#

Add a new plot to be visualized by the hardware loop during runtime.

Parameters:: plot (HardwareLoopPlot) – The plot to be added.
Return type:: None

evaluator_index(evaluator)[source]#

Index of the given evaluator.

Parameters:: evaluator (Evaluator) – The evaluator to be searched for.
Return type:: int

Returns: The index of the evaluator.

new_dimension(dimension, sample_points, *args)[source]#

Add a dimension to the sweep grid.

Must be a property of the HardwareLoop.scenario().

Parameters:

dimension (str) – String representation of dimension location relative to the investigated object.
sample_points (List[Any]) – List points at which the dimension will be sampled into a grid. The type of points must be identical to the grid arguments / type.
*args (Tuple[Any], optional) – References to the object the imension belongs to. Resolved to the investigated object by default, but may be an attribute or sub-attribute of the investigated object.

Return type:

GridDimension

Returns: The newly created dimension object.

replay(file_location)[source]#

Replay a stored pipeline run.

Parameters:: file_location (str) – File system location of the replay.
Return type:: None

run(overwrite=True, campaign='default')[source]#

Run the hardware loop configuration.

Parameters:

overwrite (bool, optional) – Allow the replacement of an already existing savefile.
campaing (str, optional) – Name of the measurement campaign.

Return type:

None

property evaluators: List[Evaluator]#: List of registered evaluators.

property iteration_priority: IterationPriority#: Iteration priority of the hardware loop.

manual_triggering: bool#: Require a user input to trigger each drop manually

property num_evaluators: int#

Number of registered evaluators.

Returns: The number of evaluators.

plot_information: bool#: Plot information during loop runtime

record_drops: bool#: Record drops during loop runtime

yaml_tag: Optional[str] = 'HardwareLoop'#: YAML serialization tag