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Blackwell's N=2
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[package] | |
name = "my-hands" | |
version = "0.1.0" | |
edition = "2021" | |
[dependencies] | |
rand = "0.8.5" | |
rand_distr = "0.4.3" |
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use rand::{rngs::ThreadRng, Rng}; | |
use rand_distr::StandardNormal; | |
fn simulate_range(rng: &mut ThreadRng) -> bool { | |
let x1: i128 = rng.gen(); | |
let x2: i128 = rng.gen(); | |
let r = rng.sample::<f64, StandardNormal>(StandardNormal) as i128; | |
let choice = if r > x1 { x2 } else { x1 }; | |
choice >= x1.max(x2) | |
} | |
fn main() { | |
let mut rng = rand::thread_rng(); | |
let n = 1000; | |
let res = (0..n) | |
.into_iter() | |
.fold(0, |acc, _| acc + simulate_range(&mut rng) as i32); | |
println!("prop success: {}", (res as f64) / (n as f64)); | |
} |
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sim <- function() { | |
x <- floor(runif(2, max = 100)) | |
r <- rnorm(1, mean = 50) | |
idx <- ifelse(x[1] < r, 2, 1) | |
choice <- x[idx] | |
choice >= max(x) | |
} | |
nsim <- 10000 | |
sum(replicate(nsim, sim())) / nsim |
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