[Request] Need a more friendly error message for incompatible search_space

[nabenabe0928]

Expected behavior

import optuna
import optunahub


def objective(trial: optuna.Trial) -> float:
    x = trial.suggest_float("x", -1, 1)
    y = trial.suggest_float("x", -1, 1)
    return x**2 + y**2


search_space = {
    "x": optuna.distributions.FloatDistribution(-1, 1),
    "y": optuna.distributions.FloatDistribution(-1, 1),
}
sampler = optunahub.load_module("samplers/hebo").HEBOSampler(search_space=search_space)
study = optuna.create_study(sampler=sampler)
study.optimize(objective, n_trials=10)

The code above (the name specified for y is actually wrong) yields:

TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

However, this type of error message depends on which sampler we use, so we should have an error message natively supported by OptunaHub.

Environment

• The package of OptunaHub which you are using:
• Optuna version:
• OptunaHub version:
• Python version:
• OS:
• (Optional) Other libraries and their versions:

Error messages, stack traces, or logs

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Steps to reproduce

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Additional context (optional)

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