-ji%SSKJr SSKJr SSKrSSKJr SSKJ r \(aSSK J r \"S5"SS \ 55r g) ) annotations) TYPE_CHECKINGN)experimental_class) BaseCrossover)Studyz3.0.0c\\rSrSrSrSrSS SjjrS SjrSrg) VSBXCrossoveraModified Simulated Binary Crossover operation used by :class:`~optuna.samplers.NSGAIISampler`. vSBX generates child individuals without excluding any region of the parameter space, while maintaining the excellent properties of SBX. In the paper, vSBX has only one argument, ``eta``, and generate two child individuals. However, Optuna can only return one child individual in one crossover operation, so it uses the ``uniform_crossover_prob`` and ``use_child_gene_prob`` arguments to make two individuals into one. - `Pedro J. Ballester, Jonathan N. Carter. Real-Parameter Genetic Algorithms for Finding Multiple Optimal Solutions in Multi-modal Optimization. GECCO 2003: 706-717 `__ Args: eta: Distribution index. A small value of ``eta`` allows distant solutions to be selected as children solutions. If not specified, takes default value of ``2`` for single objective functions and ``20`` for multi objective. uniform_crossover_prob: ``uniform_crossover_prob`` is the probability of uniform crossover between two individuals selected as candidate child individuals. This argument is whether or not two individuals are crossover to make one child individual. If the ``uniform_crossover_prob`` exceeds 0.5, the result is equivalent to ``1-uniform_crossover_prob``, because it returns one of the two individuals of the crossover result. If not specified, takes default value of ``0.5``. The range of values is ``[0.0, 1.0]``. use_child_gene_prob: ``use_child_gene_prob`` is the probability of using the value of the generated child variable rather than the value of the parent. This probability is applied to each variable individually. where ``1-use_chile_gene_prob`` is the probability of using the parent's values as it is. If not specified, takes default value of ``0.5``. The range of values is ``(0.0, 1.0]``. NcUbUS:a [S5eXlUS:dUS:a [S5eUS::dUS:a [S5eX lX0lg)Ngz8The value of `eta` must be greater than or equal to 0.0.g?zFThe value of `uniform_crossover_prob` must be in the range [0.0, 1.0].zCThe value of `use_child_gene_prob` must be in the range (0.0, 1.0].) ValueError_eta_uniform_crossover_prob_use_child_gene_prob)selfetauniform_crossover_probuse_child_gene_probs b/home/james-whalen/.local/lib/python3.13/site-packages/optuna/samplers/nsgaii/_crossovers/_vsbx.py__init__VSBXCrossover.__init__=sj O#)WX X !C '+AC+GX  # %)Z[K\<\\]B &)".2C^TUEV&W "D$dxxzD55588:!=!==&--d3&--d3&--d3&--d388:!=!==&--d3&--d3&--d3&--d3'X 36((*s2B.HZxx 12 r)rrr)Nrr)rz float | Nonerfloatrr<returnNone) r& np.ndarrayr'znp.random.RandomStater(rr)r?r=r?) __name__ __module__ __qualname____firstlineno____doc__ n_parentsrr:__static_attributes__rrr r sz(TI!(+%( 8 8!&8# 8  8&;";#; ; ( ;  ;rr ) __future__rtypingrnumpyr optuna._experimentalr(optuna.samplers.nsgaii._crossovers._baser optuna.studyrr rGrrrNs?" 3B"G{M{{r