(^i,ddlmZddlmZddlmZddlmZddlZddlm Z ddlm Z ddl Z ddl mZdd lmZdd lmZdd lmZdd lmZdd lmZddlmZddlmZej8rddlmZeeZGddeZ Gdde Z!Gdde Z" ddZ#dddd ddZ$ ddZ%y) ) annotations)Callable)Sequence)EnumN)cast) NamedTuple) get_logger)_CONSTRAINTS_KEY)Study)StudyDirection) FrozenTrial) TrialState)_imports)_check_plot_args)goceZdZdZdZdZy) _ValueStaterN)__name__ __module__ __qualname__Feasible Infeasible Incompletek/var/www/html/hubwallet-dev/venv/lib/python3.12/site-packages/optuna/visualization/_optimization_history.pyrrsHJJrrc6eZdZUded<ded<ded<ded<y ) _ValuesInfoz list[float]valueszlist[float] | Nonestdsstr label_namezlist[_ValueState]statesNrrr__annotations__rrrr r "s  O rr c,eZdZUded<ded<ded<y)_OptimizationHistoryInfoz list[int] trial_numbersr values_infoz_ValuesInfo | Nonebest_values_infoNr&rrrr)r))s((rr)c t|||t|tr|g}n t|}g|D]}|j }t |dk(r|n|d|j }g}g}|D]} | jtjk7r:|jtd|jtj[| jjt } | t#| D cgc]} | dk c} r |jtj$n|jtj&||j|| |jt)t| j*|d} ng} |j,t.j0k(ret3||Dcgc]%\}}|tj$k(r|n td'} }}tt4j6j9| }net3||Dcgc]&\}}|tj$k(r|n td (} }}tt4j:j9| }t |dk(rdnd|j }t=|d||} jt?|Dcgc]}|j@c}t=|d||| t d k(rtBjEd tGd D}tGd D}||zd k(r%tBjEd jI|sSt d k(rgS|d k(rtBjEdgSDcgc]}|jJD]}|}}}tM|dzdfd }||d\}}d}| |dd\}}t?|||gScc} wcc}}wcc}}wcc}wcc}}w)Nrz of nanginfz Best ValuezBest Value of )r*r+r,rzThere are no studies.c3K|]7}|jjjtj9ywN)r+r%countrr.0infos r z6_get_optimization_history_info_list..ps2@D%%k&:&:;=?c3K|]7}|jjjtj9ywr1)r+r%r2rrr3s rr6z6_get_optimization_history_info_list..ss2!BF%%k&<&<=!r7zThere are no complete trials.zThere are no feasible trials.ctDcgc]}g}}tDcgc]}g}}JD]\}}}|r|J|}t||j|jD]o\}} } t j | s@|s(| t jk(r||j| n|r||j| ||j| qg} g} g} g}tD]}t||dkDrt j||vr| jt j| j|| jtj||j|jtj||j| jt j| t| ||| fScc}wcc}w)Nr)rangezipr!r%mathisinfrrappendlennpmeanitemstdrr )r$use_best_value_r!r%r*r+r,nvstrial_numbers_union value_states value_means value_stdsi info_list max_num_trials r _aggregatez7_get_optimization_history_info_list.._aggregates16}1E$FAR$F$F7<]7K*L!2*L*L$$$floatrr system_attrsgetr allrrrvalue directionr MINIMIZEr;r@minimum accumulatemaximumr r)number_loggerwarningsumclearr*max)studytarget target_name error_barstudiestrialsr$r!rJtrial constraintsxr,feasible_best_valuesrGrH best_valuesbest_label_nametfeasible_trial_countinfeasible_trial_countr5rcall_trial_numbersrPeb_trial_numberseb_values_infoeb_best_values_inforErNrOs @@r#_get_optimization_history_info_listr|/s UFK0%'u+02I/ !!#$'LA$5[k]$uO_O_N`;a   8E{{j111 eEl+##K$:$:;,,001ABK"c[*I18*I&J##K$8$89##K$:$:;! fUm, d5%++67 8  48 #% ."9"99!$FL 9(1k222Ae D($(#2::#8#89M#NO !$FL 9(1k222Au E($(#2::#8#89M#NO #G  1 HXHXGY7Z  +;o|\  $178Aqxx8'j,O!1  S/ b 9~/0HQ!!JS!44978  9~ q 78 ,5WDDDVDVW&WWW)*Q.Mc<(2+u'E$n.2 ~!+L$!?  $%5~GZ [ \\E+J( (9:Xs3 O0 ?*O5$+O;;PPzObjective ValueF)rjrkrlc^tjt||||}t||S)a7Plot optimization history of all trials in a study. Args: study: A :class:`~optuna.study.Study` object whose trials are plotted for their target values. You can pass multiple studies if you want to compare those optimization histories. target: A function to specify the value to display. If it is :obj:`None` and ``study`` is being used for single-objective optimization, the objective values are plotted. .. note:: Specify this argument if ``study`` is being used for multi-objective optimization. target_name: Target's name to display on the axis label and the legend. error_bar: A flag to show the error bar. Returns: A :class:`plotly.graph_objects.Figure` object. )rcheckr|_get_optimization_history_plot)rirjrkrlrNs rplot_optimization_historyrs,8 NN3E6;PYZI ))[ AArc ,tjdddid|i}g}|D]\}}}t||jDcgc]\}}|tj k(s|} }}|j d} t||jD cgc]\} }|tjk(r| } } }g} | D] } | j|j| "g}| D] } |j|j| "nmtj |jvstj|jvrtjdd|j dd} |} |j} g}|jtj| | | d |j |#|jtj||j|jd |j tj |jtj |j z}|jtj||d t#d dtj |jtj |j z }|jtj||dddd|jtj| || d dddidtj$||Scc}}wcc}} w)NzOptimization History PlottitleTrial)rxaxisyaxisz~Your study contains infeasible trials. In optimization history plot, error bars are calculated for only feasible trial values.dataT)typearrayvisiblemarkers)rqyerror_ymodenamelines)rqrrrg{Gz?)widthF)rqrrline showlegendnonetonextyzrgba(255,0,0,0.2))rqrrrfill fillcolorzInfeasible Trialcolorz#cccccc)rqrrrrmarkerr)rlayout)rLayoutr;r%rrr"rr>r!rrdreScatterr$r@rdictFigure)rNrkrtracesr*r+r,rFrHinfeasible_trial_numbersrnumfeasible_trial_numbersfeasible_trial_valuesinfeasible_trial_valuesupperlowers rrrs YY)  $F F8AQ 4 {$4m[-?-?@$ !QAI_I_D_A$  $     #G"-1C1CD&C ,,,& "& %' !- F%,,[-?-?-DE F&( #/ H'..{/A/A#/FG H&&+*<*<<))[-?-??P & 0@0@TRG%2 "$/$6$6 !&( # JJ(' ++     ' MM #&--)44   $$0!1!8!89BHHEUEZEZ<[[ JJ'$!-#( !1!8!89BHHEUEZEZ<[[ JJ'##(&"5    JJ*)'+   OQ d 99& 00c$ &sL L  L) riStudy | Sequence[Study]rj%Callable[[FrozenTrial], float] | Nonerkr#rlrQrRlist[_OptimizationHistoryInfo]) rirrjrrkr#rlrQrR 'go.Figure')rNrrkr#rRr)& __future__rcollections.abcrrenumrr<typingrrnumpyr@optuna.loggingr optuna.samplers._baser optuna.studyr optuna.study._study_directionr optuna.trialr r$optuna.visualization._plotly_importsroptuna.visualization._utilsr is_successfulrrrdrr r)r|rrrrrrs "$$ %28$#9887 X $ *)z) z] "z] 1z]z] z] $ z]@59( B "B 2B B  B  BD]1-]1]1]1r