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this is technically not needed since it is handled by the gradual_hyperparameter_update function where the rng is used. but we could just have an extra check for clarity?
https://github.com/EpistasisLab/tpot2/blob/8ebc82cb3b4d6fadfa5228a7de3134a9edc59acb/tpot2/search_spaces/nodes/estimator_node_gradual.py#L55C1-L56C1
We are forgetting to add 'rng = np.random.default_rng(rng)' to instantiate a new or old rng.
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