saealib.TellStage#

class saealib.TellStage(algorithm, *, channel='true')[source]#

Bases: Stage

Update the population via the algorithm’s tell() method.

Reads state.offspring (the full candidate population, including both surrogate-scored and true-evaluated individuals, as the algorithm expects) and calls algorithm.tell().

Parameters:

algorithm (Algorithm) – The evolutionary algorithm that updates the population.
channel (FeedbackChannel)

Methods

`__init__`	Initialize base Stage attributes.
`contract`	Return this stage's structural and direct state-access contract.
`execute`	Execute this stage and return the updated state.
`to_pseudocode`	Expand into per-step lines via `Algorithm.tell_notation`.
`to_text`	Render this stage as a plain-text algorithmic line.

Method Details

TellStage.__init__(algorithm, *, channel='true')[source]#

Initialize base Stage attributes.

Parameters:

name (str, optional) – Override the class-level name.
label (str, optional) – Override the class-level label.
notation (str, optional) – Override the class-level notation.
algorithm (Algorithm | Proposer | FeedbackConsumer)
channel (FeedbackChannel)

Return type:

None

TellStage.contract()[source]#

Return this stage’s structural and direct state-access contract.

Return type:: ComponentContract

TellStage.execute(state)[source]#

Execute this stage and return the updated state.

Parameters:: state (OptimizationState) – Current optimization state.
Returns:: Updated state.
Return type:: OptimizationState

TellStage.to_pseudocode(*, expand=False, indent=0)[source]#

Expand into per-step lines via Algorithm.tell_notation.

Parameters:

expand (bool)
indent (int)

Return type:

str

TellStage.to_text(*, expand=False, indent=0)#

Render this stage as a plain-text algorithmic line.

Parameters:

expand (bool)
indent (int)

Return type:

str