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... that just reshuffles the order of the points in a uniform distribution (which can then be mapped into the corresponding points in an equiprobable discretization of any distribution.
write a .simulate(... method='stochastic') that would use its own implementation only if method=='snowglobe' and would defer to the ancestor method return super().simulate(pass all arguments)
write a new .snowglobe(...) method
Here, snowglobe is just a placeholder a the method name until we find the right one.
... that just reshuffles the order of the points in a uniform distribution (which can then be mapped into the corresponding points in an equiprobable discretization of any distribution.
Related to #203
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