Hybrid Computing

Hybrid computing fuses the available classical digital algorithms with the new possibilities introduced by analog computing!

Common Hybrid Computing Tasks

class pybrid.base.hybrid.programs.recl.RunEvaluateReconfigureLoop(*args, **kwargs)

Bases: BaseProgram

Run-Evaluate-Reconfigure-Loop Abstraction

This class implements the typical process flow of a run-evaluate-reconfigure-loop. Users should inherit this class and overwrite the following function to inject their specific code.

• set_user_variables() for one-time initialization code

• initial_configuration() for configuring the first run

• next_configuration() for configuring the next run (except the first)

• run_done() for evaluating a completed run

• loop_done() for final evaluation or cleanup code

create_run()

ignore_run_errors: ClassVar[bool] = False

Whether to ignore errors during a run by default

initial_configuration(run: BaseRun, computer: AnalogComputer)

User-supplied function called before the first run.

Use this function to set the configurations for the first run. Run configuration parameters (e.g. OP time or DAQ config) will be kept to future runs.

Parameters:

• run – First run that is about to be started

• computer – A representation of the specific analog computer

Returns:

None

loop_done(runs: List[BaseRun])

User-supplied function called after the loop exits.

Use this to close any open resources (like files) and to do evaluation across multiple runs.

Parameters:

runs – List of all executed runs.

Returns:

None

next_configuration(run: BaseRun, computer: AnalogComputer, previous_runs: List[BaseRun])

User-supplied function called before each run except the first.

Use this function to set the configurations for the upcoming run. You can either modify the passed modules or access modules you ‘remembered’ in init_loop.

Parameters:

• run – Run that is about to be started

• computer – A representation of the specific analog computer

• previous_runs – List of previous runs

Returns:

None

run_done(run: BaseRun) → bool

User-supplied function called after a run is completed.

Use this function to evaluate the results of the latest run. If the loop should be stopped after this run, return True.

Parameters:

run – The just completed run

Returns:

False if loop should be stopped, True to continue

run_error(run: BaseRun, error: Exception)

Error handling function.

Is called on any exception raised during a computation.

runs: List[BaseRun]

set_user_variables(computer: AnalogComputer)

User-supplied function called before the loop is started.

Use this function to set user variables and constant computer configuration values. Acquire any necessary resources (like opening files).

Parameters:

computer – A representation of the specific analog computer

Returns:

None

async start()

Entrypoint for starting the Run-Evaluate-Reconfigure-Loop

This function is called automatically by the pybrid command line tool. You should not need to call it unless you manually start a loop.

Returns:

None