saealib.SerialEvaluator#

class saealib.SerialEvaluator[source]#

Bases: Evaluator

Default evaluator: evaluates each candidate sequentially.

Methods

`__init__`
`acknowledge`	Acknowledge one contiguous update sequence.
`can_reattach`	Return whether pending work can be restored after checkpoint load.
`cancel`	Cancel submitted work when the backend supports cancellation.
`collect`	Return unacknowledged updates for a handle.
`contract`	Return the evaluator family contract.
`detach`	Detach work whose result must no longer be delivered.
`evaluate_batch`	Evaluate a batch, using the problem's optional evaluation adapter.
`evaluate_request`	Evaluate a request while exposing its context to the adapter.
`has_partial_lifecycle_override`	Return whether lifecycle adapter methods are only partly overridden.
`reattach`	Restore a pending request or raise when unsupported.
`submit`	Submit a request through the synchronous adapter.
`supports_batch_rollback`	Return whether failed batch submission can be rolled back.

Method Details

SerialEvaluator.__init__()#

SerialEvaluator.acknowledge(handle, sequence)#

Acknowledge one contiguous update sequence.

Parameters:

handle (EvaluationHandle)
sequence (int)

Return type:

None

SerialEvaluator.can_reattach(pending)#

Return whether pending work can be restored after checkpoint load.

Parameters:: pending (PendingEvaluation)
Return type:: bool

SerialEvaluator.cancel(handle)#

Cancel submitted work when the backend supports cancellation.

Parameters:: handle (EvaluationHandle)
Return type:: bool

SerialEvaluator.collect(handle, *, wait=True)#

Return unacknowledged updates for a handle.

Parameters:

handle (EvaluationHandle)
wait (bool)

Return type:

list[EvaluationUpdate]

SerialEvaluator.contract()#

Return the evaluator family contract.

Return type:: ComponentContract

SerialEvaluator.detach(handle)#

Detach work whose result must no longer be delivered.

Parameters:: handle (EvaluationHandle)
Return type:: bool

SerialEvaluator.evaluate_batch(x, problem)[source]#

Evaluate a batch, using the problem’s optional evaluation adapter.

Parameters:

x (GenomeBatch | np.ndarray)
problem (Problem)

Return type:

EvaluationResult

SerialEvaluator.evaluate_request(request, problem)[source]#

Evaluate a request while exposing its context to the adapter.

Parameters:

request (EvaluationRequest)
problem (Problem)

Return type:

EvaluationResult

classmethod SerialEvaluator.has_partial_lifecycle_override()#

Return whether lifecycle adapter methods are only partly overridden.

Return type:: bool

SerialEvaluator.reattach(pending, problem)#

Restore a pending request or raise when unsupported.

Parameters:

pending (PendingEvaluation)
problem (Problem)

Return type:

EvaluationHandle

SerialEvaluator.submit(request, problem)#

Submit a request through the synchronous adapter.

Parameters:

request (EvaluationRequest)
problem (Problem)

Return type:

EvaluationHandle

SerialEvaluator.supports_batch_rollback()#

Return whether failed batch submission can be rolled back.

Return type:: bool