On 29.04.2018 18:34, Naveen Chawla wrote:
I don't think there's such a thing as "real random" in digital algos, just "pseudo random".
You are right. I meant 'unbiased' pseudo randomness here.

Apart from card games, what's the use case?
There are a lot of potential use cases. The best that comes into my mind is sampling test data.


On 29.04.2018 19:01, Isiah Meadows wrote:
I think this would be better suited for a library function rather than a 
language feature. I could see this also being useful also for
randomized displays, but that's about it. And I'm not sure what an
engine could provide here that a library couldn't - you can't really
get much faster than what's in the language (minus bounds checking,
but the likely frequent cache misses will eclipse that greatly), and
it's not unlocking any real new possibilities.
As Tab Atkins Jr. already pointed out it's not about performance benefits. It's about how error-prone custom shuffle implementations are/can be.
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