o }oi @sddlmZddlmZddlZddlmZddlm Z ddl m Z ddl m Z ddl mZer>dd l mZdd l mZed dddZdddZdS)) annotations)SequenceN)experimental_func)Study)_get_hypervolume_history_info)_HypervolumeHistoryInfo)_imports)Axes)pltz3.3.0studyrreference_pointSequence[float]return'Axes'cCsPt|s tdt|t|jkrtdt|tj|tj d}t |S)aPlot hypervolume history of all trials in a study with Matplotlib. .. note:: You need to adjust the size of the plot by yourself using ``plt.tight_layout()`` or ``plt.savefig(IMAGE_NAME, bbox_inches='tight')``. Args: study: A :class:`~optuna.study.Study` object whose trials are plotted for their hypervolumes. The number of objectives must be 2 or more. reference_point: A reference point to use for hypervolume computation. The dimension of the reference point must be the same as the number of objectives. Returns: A :class:`matplotlib.axes.Axes` object. zoStudy must be multi-objective. For single-objective optimization, please use plot_optimization_history instead.zRThe dimension of the reference point must be the same as the number of objectives.)dtype) rcheck_is_multi_objective ValueErrorlen directionsrnpasarrayfloat64_get_hypervolume_history_plot)r r inforh/home/ubuntu/.local/lib/python3.10/site-packages/optuna/visualization/matplotlib/_hypervolume_history.pyplot_hypervolume_historysrrrcCs`tjdt\}}|d|d|dtd}|j|j |j d|ddd |S) NggplotzHypervolume History PlotTrial Hypervolumetab10org?)markercoloralpha) r styleusesubplots set_title set_xlabel set_ylabelget_cmapplot trial_numbersvalues)r_axcmaprrrr<s      r)r rr r rr)rrrr) __future__rcollections.abcrnumpyroptuna._experimentalr optuna.studyr)optuna.visualization._hypervolume_historyrr3optuna.visualization.matplotlib._matplotlib_importsr is_successfulr r rrrrrrs         (