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individuals_dist.pmf(*x as u64)).collect(); individuals.into_iter().zip(y_iter).collect() }; The 500, 50, 100 values in eachHypergeometric::new method represents the population (N), successes (K or M), draws (n) respectively. Notice the individuals_dist.pmf function invocation which computes the