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No randomness for threading=True #7922

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@marcus-wirtz-snkeos

_transform = deepcopy(_transform) if isinstance(_transform, ThreadUnsafe) else _transform

When using threading=True, the random state of any Randomizable transformation is only updated within its copy, thus the original random state will be untouched generating the same samples over and over.

I already saw that somewhere in the docs there is a mentioning of "limited randomness" for threading (even though I find that a rather optimistic description). Are there plans how to tackle this issue? Or won't it be supported?

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