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[BUG] failure of GFO estimators with replacement=False #135

@fkiraly

Description

@fkiraly

A number of GFO estimator seem to fail with replcaement=False in what seems like a sensible call, e.g.,

from gradient_free_optimizers import LipschitzOptimizer
from hyperactive.experiment.integrations import SklearnCvExperiment

experiment = SklearnCvExperiment.create_test_instance()

opt = LipschitzOptimizer(
        **{
            "search_space": {
                "C": [0.01, 0.1, 1, 10],
                "gamma": [0.0001, 0.01, 0.1, 1, 10],
            },
            "max_sample_size": 1000,
            "replacement": True,
        }
)

opt.search(
    objective_function=experiment.score,
    n_iter=n_iter,
    max_time=max_time,
)

Same with ForestOptimizer, TreeStructuredParzenEstimators

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