DinddlmZddlZddlmZddlmZddlZddlm Z ddl m Z ddl m Z er ddlmZdd lmZd ZGd d ej$ Ze dGddeZe dddZe dGddeZy)) annotationsN)cast) TYPE_CHECKING)experimental_class)StudyDirection) TrialState) FrozenTrial)Trialzterminator:cv_scorescBeZdZdZej ddZy)BaseErrorEvaluatorz Base class for error evaluators.cyNselftrialsstudy_directions a/home/ubuntu/crypto_trading_bot/.venv/lib/python3.12/site-packages/optuna/terminator/erroreval.pyevaluatezBaseErrorEvaluator.evaluates Nrzlist[FrozenTrial]rrreturnfloat)__name__ __module__ __qualname____doc__abcabstractmethodrrrrr r s9* ! (     rr ) metaclassz3.2.0c$eZdZdZ ddZy)CrossValidationErrorEvaluatoraAn error evaluator for objective functions based on cross-validation. This evaluator evaluates the objective function's statistical error, which comes from the randomness of dataset. This evaluator assumes that the objective function is the average of the cross-validation and uses the scaled variance of the cross-validation scores in the best trial at the moment as the statistical error. c|Dcgc]"}|jtjk(s!|$}}t|dkDsJ|tj k(rt |d}nt|d}|j}t|vr |t}n tdt|}|dkDsJdd|z d|dz z z}|tj|z} tj| } t| Scc}w)aEvaluate the statistical error of the objective function based on cross-validation. Args: trials: A list of trials to consider. The best trial in ``trials`` is used to compute the statistical error. study_direction: The direction of the study. Returns: A float representing the statistical error of the objective function. rc6tt|jSrrrvaluets rz8CrossValidationErrorEvaluator.evaluate..D4qww3Gr)keyc6tt|jSrr%r's rr)z8CrossValidationErrorEvaluator.evaluate..Fr*rzCross-validation scores have not been reported. Please call `report_cross_validation_scores(trial, scores)` during a trial and pass the list of scores as `scores`.z9Should be guaranteed by `report_cross_validation_scores`.)staterCOMPLETElenrMAXIMIZEmaxmin system_attrs_CROSS_VALIDATION_SCORES_KEY ValueErrornpvarsqrtr) rrrtrial best_trialbest_trial_attrs cv_scoreskscaler8stds rrz&CrossValidationErrorEvaluator.evaluate-s&&,REu{{j>Q>Q/Q%RR6{Q n55 5V)GHJV)GHJ%22 '+; ;()EFI.   N1uQQQuAQU #bffY''ggclSz3Ss "C4C4Nr)rrrrrrrrr"r""s(,!,(,  ,rr"ct|dkr td|jj|jt |y)aA function to report cross-validation scores of a trial. This function should be called within the objective function to report the cross-validation scores. The reported scores are used to evaluate the statistical error for termination judgement. Args: trial: A :class:`~optuna.trial.Trial` object to report the cross-validation scores. scores: The cross-validation scores of the trial. r-z:The length of `scores` is expected to be greater than one.N)r0r6storageset_trial_system_attr _trial_idr5)r:scoress rreport_cross_validation_scoresrF\s8 6{aUVV MM''9UW]^rc,eZdZdZddZ ddZy)StaticErrorEvaluatora7An error evaluator that always returns a constant value. This evaluator can be used to terminate the optimization when the evaluated improvement potential is below the fixed threshold. Args: constant: A user-specified constant value to always return as an error estimate. c||_yr _constant)rconstants r__init__zStaticErrorEvaluator.__init__}s !rc|jSrrJrs rrzStaticErrorEvaluator.evaluates ~~rN)rLrrNoner)rrrrrMrrrrrHrHps- "!(  rrH)r:r rEz list[float]rrO) __future__rrtypingrrnumpyr7optuna._experimentalr optuna.studyroptuna.trial._stater optuna.trialr r r5ABCMetar r"rFrHrrrrXs"  3'*(" 6  3;;  G6$666rG__&G-r